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+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "DS_Unit_1_Sprint_Challenge_2.ipynb",
+      "version": "0.3.2",
+      "provenance": [],
+      "collapsed_sections": [],
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/Captmoonshot/DS-Sprint-02-Storytelling-With-Data/blob/master/DS_Unit_1_Sprint_Challenge_2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "i-n_5en3ER1o",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "# Data Science Unit 1 Sprint Challenge 2\n",
+        "\n",
+        "# Storytelling with Data\n",
+        "\n",
+        "In this sprint challenge you'll work with a dataset from **FiveThirtyEight's article, [Every Guest Jon Stewart Ever Had On ‘The Daily Show’](https://fivethirtyeight.com/features/every-guest-jon-stewart-ever-had-on-the-daily-show/)**!"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Thm2n5FF2Fnp",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "# Part 0 — Run this starter code\n",
+        "\n",
+        "You don't need to add or change anything here. Just run this cell and it loads the data for you, into a dataframe named `df`.\n",
+        "\n",
+        "(You can explore the data if you want, but it's not required to pass the Sprint Challenge.)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "0rTHgzJIuRS7",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "%matplotlib inline\n",
+        "import matplotlib.pyplot as plt\n",
+        "import numpy as np\n",
+        "import pandas as pd\n",
+        "\n",
+        "df = pd.read_csv('https://raw.githubusercontent.com/fivethirtyeight/data/master/daily-show-guests/daily_show_guests.csv')\n",
+        "df.rename(columns={'YEAR': 'Year', 'Raw_Guest_List': 'Guest'}, inplace=True)\n",
+        "\n",
+        "def get_occupation(group):\n",
+        "    if group in ['Acting', 'Comedy', 'Musician']:\n",
+        "        return 'Acting, Comedy & Music'\n",
+        "    elif group in ['Media', 'media']:\n",
+        "        return 'Media'\n",
+        "    elif group in ['Government', 'Politician', 'Political Aide']:\n",
+        "        return 'Government and Politics'\n",
+        "    else:\n",
+        "        return 'Other'\n",
+        "      \n",
+        "df['Occupation'] = df['Group'].apply(get_occupation)"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "OS0nW1vz1itX",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "# Part 1 — What's the breakdown of guests’ occupations per year?\n",
+        "\n",
+        "For example, in 1999, what percentage of guests were actors, comedians, or musicians? What percentage were in the media? What percentage were in politics? What percentage were from another occupation?\n",
+        "\n",
+        "Then, what about in 2000? In 2001? And so on, up through 2015.\n",
+        "\n",
+        "So, **for each year of _The Daily Show_, calculate the percentage of guests from each occupation:**\n",
+        "- Acting, Comedy & Music\n",
+        "- Government and Politics\n",
+        "- Media\n",
+        "- Other\n",
+        "\n",
+        "#### Hints:\n",
+        "1. Use pandas to make a **crosstab** of **`Year`** & **`Occupation`**. ([This documentation](http://pandas.pydata.org/pandas-docs/stable/reshaping.html#cross-tabulations) has examples and explanation.)\n",
+        "2. To get percentages instead of counts, use crosstab's **`normalize`** parameter to normalize over each _row._ ([This documentation](http://pandas.pydata.org/pandas-docs/stable/generated/pandas.crosstab.html) describes the parameter and its options.)\n",
+        "3. You'll know you've calculated the crosstab correctly when the percentage of \"Acting, Comedy & Music\" guests is 90.36% in 1999, and 45% in 2015."
+      ]
+    },
+    {
+      "metadata": {
+        "id": "sRMc0H_5z6ff",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "537366ad-54f1-43ec-a95d-826b9b53ea9f"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.head()"
+      ],
+      "execution_count": 18,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>Year</th>\n",
+              "      <th>GoogleKnowlege_Occupation</th>\n",
+              "      <th>Show</th>\n",
+              "      <th>Group</th>\n",
+              "      <th>Guest</th>\n",
+              "      <th>Occupation</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1999</td>\n",
+              "      <td>actor</td>\n",
+              "      <td>1/11/99</td>\n",
+              "      <td>Acting</td>\n",
+              "      <td>Michael J. Fox</td>\n",
+              "      <td>Acting, Comedy &amp; Music</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>1999</td>\n",
+              "      <td>Comedian</td>\n",
+              "      <td>1/12/99</td>\n",
+              "      <td>Comedy</td>\n",
+              "      <td>Sandra Bernhard</td>\n",
+              "      <td>Acting, Comedy &amp; Music</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>1999</td>\n",
+              "      <td>television actress</td>\n",
+              "      <td>1/13/99</td>\n",
+              "      <td>Acting</td>\n",
+              "      <td>Tracey Ullman</td>\n",
+              "      <td>Acting, Comedy &amp; Music</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>1999</td>\n",
+              "      <td>film actress</td>\n",
+              "      <td>1/14/99</td>\n",
+              "      <td>Acting</td>\n",
+              "      <td>Gillian Anderson</td>\n",
+              "      <td>Acting, Comedy &amp; Music</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>1999</td>\n",
+              "      <td>actor</td>\n",
+              "      <td>1/18/99</td>\n",
+              "      <td>Acting</td>\n",
+              "      <td>David Alan Grier</td>\n",
+              "      <td>Acting, Comedy &amp; Music</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   Year GoogleKnowlege_Occupation     Show   Group             Guest  \\\n",
+              "0  1999                     actor  1/11/99  Acting    Michael J. Fox   \n",
+              "1  1999                  Comedian  1/12/99  Comedy   Sandra Bernhard   \n",
+              "2  1999        television actress  1/13/99  Acting     Tracey Ullman   \n",
+              "3  1999              film actress  1/14/99  Acting  Gillian Anderson   \n",
+              "4  1999                     actor  1/18/99  Acting  David Alan Grier   \n",
+              "\n",
+              "               Occupation  \n",
+              "0  Acting, Comedy & Music  \n",
+              "1  Acting, Comedy & Music  \n",
+              "2  Acting, Comedy & Music  \n",
+              "3  Acting, Comedy & Music  \n",
+              "4  Acting, Comedy & Music  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 18
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "LgbnhF0AV1Mp",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "0638cf22-f7dd-4348-ed8e-9a008b182621"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.shape"
+      ],
+      "execution_count": 19,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(2693, 6)"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 19
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "hoq62ozpV4xA",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 607
+        },
+        "outputId": "ce115b38-4a53-4e0b-f1f3-d719301fa2b9"
+      },
+      "cell_type": "code",
+      "source": [
+        "# ct_2 = pd.crosstab([age_bins, num_nodes_bins], df.survived, rownames=['age groups', 'number of nodes'], normalize='columns')\n",
+        "\n",
+        "ct = pd.crosstab(df.Year, df.Occupation, normalize='index')\n",
+        "ct"
+      ],
+      "execution_count": 20,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th>Occupation</th>\n",
+              "      <th>Acting, Comedy &amp; Music</th>\n",
+              "      <th>Government and Politics</th>\n",
+              "      <th>Media</th>\n",
+              "      <th>Other</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Year</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>1999</th>\n",
+              "      <td>0.903614</td>\n",
+              "      <td>0.012048</td>\n",
+              "      <td>0.066265</td>\n",
+              "      <td>0.018072</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2000</th>\n",
+              "      <td>0.739645</td>\n",
+              "      <td>0.082840</td>\n",
+              "      <td>0.124260</td>\n",
+              "      <td>0.053254</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2001</th>\n",
+              "      <td>0.726115</td>\n",
+              "      <td>0.038217</td>\n",
+              "      <td>0.197452</td>\n",
+              "      <td>0.038217</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2002</th>\n",
+              "      <td>0.622642</td>\n",
+              "      <td>0.069182</td>\n",
+              "      <td>0.264151</td>\n",
+              "      <td>0.044025</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2003</th>\n",
+              "      <td>0.560241</td>\n",
+              "      <td>0.102410</td>\n",
+              "      <td>0.246988</td>\n",
+              "      <td>0.090361</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2004</th>\n",
+              "      <td>0.384146</td>\n",
+              "      <td>0.225610</td>\n",
+              "      <td>0.274390</td>\n",
+              "      <td>0.115854</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2005</th>\n",
+              "      <td>0.370370</td>\n",
+              "      <td>0.160494</td>\n",
+              "      <td>0.333333</td>\n",
+              "      <td>0.135802</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2006</th>\n",
+              "      <td>0.360248</td>\n",
+              "      <td>0.192547</td>\n",
+              "      <td>0.291925</td>\n",
+              "      <td>0.155280</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2007</th>\n",
+              "      <td>0.255319</td>\n",
+              "      <td>0.170213</td>\n",
+              "      <td>0.333333</td>\n",
+              "      <td>0.241135</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2008</th>\n",
+              "      <td>0.207317</td>\n",
+              "      <td>0.201220</td>\n",
+              "      <td>0.469512</td>\n",
+              "      <td>0.121951</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2009</th>\n",
+              "      <td>0.208589</td>\n",
+              "      <td>0.208589</td>\n",
+              "      <td>0.361963</td>\n",
+              "      <td>0.220859</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2010</th>\n",
+              "      <td>0.351515</td>\n",
+              "      <td>0.181818</td>\n",
+              "      <td>0.303030</td>\n",
+              "      <td>0.163636</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2011</th>\n",
+              "      <td>0.337423</td>\n",
+              "      <td>0.165644</td>\n",
+              "      <td>0.312883</td>\n",
+              "      <td>0.184049</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2012</th>\n",
+              "      <td>0.268293</td>\n",
+              "      <td>0.201220</td>\n",
+              "      <td>0.317073</td>\n",
+              "      <td>0.213415</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2013</th>\n",
+              "      <td>0.427711</td>\n",
+              "      <td>0.126506</td>\n",
+              "      <td>0.307229</td>\n",
+              "      <td>0.138554</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2014</th>\n",
+              "      <td>0.392638</td>\n",
+              "      <td>0.128834</td>\n",
+              "      <td>0.325153</td>\n",
+              "      <td>0.153374</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2015</th>\n",
+              "      <td>0.450000</td>\n",
+              "      <td>0.170000</td>\n",
+              "      <td>0.240000</td>\n",
+              "      <td>0.140000</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "Occupation  Acting, Comedy & Music  Government and Politics     Media  \\\n",
+              "Year                                                                    \n",
+              "1999                      0.903614                 0.012048  0.066265   \n",
+              "2000                      0.739645                 0.082840  0.124260   \n",
+              "2001                      0.726115                 0.038217  0.197452   \n",
+              "2002                      0.622642                 0.069182  0.264151   \n",
+              "2003                      0.560241                 0.102410  0.246988   \n",
+              "2004                      0.384146                 0.225610  0.274390   \n",
+              "2005                      0.370370                 0.160494  0.333333   \n",
+              "2006                      0.360248                 0.192547  0.291925   \n",
+              "2007                      0.255319                 0.170213  0.333333   \n",
+              "2008                      0.207317                 0.201220  0.469512   \n",
+              "2009                      0.208589                 0.208589  0.361963   \n",
+              "2010                      0.351515                 0.181818  0.303030   \n",
+              "2011                      0.337423                 0.165644  0.312883   \n",
+              "2012                      0.268293                 0.201220  0.317073   \n",
+              "2013                      0.427711                 0.126506  0.307229   \n",
+              "2014                      0.392638                 0.128834  0.325153   \n",
+              "2015                      0.450000                 0.170000  0.240000   \n",
+              "\n",
+              "Occupation     Other  \n",
+              "Year                  \n",
+              "1999        0.018072  \n",
+              "2000        0.053254  \n",
+              "2001        0.038217  \n",
+              "2002        0.044025  \n",
+              "2003        0.090361  \n",
+              "2004        0.115854  \n",
+              "2005        0.135802  \n",
+              "2006        0.155280  \n",
+              "2007        0.241135  \n",
+              "2008        0.121951  \n",
+              "2009        0.220859  \n",
+              "2010        0.163636  \n",
+              "2011        0.184049  \n",
+              "2012        0.213415  \n",
+              "2013        0.138554  \n",
+              "2014        0.153374  \n",
+              "2015        0.140000  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 20
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "GxHKdScLYtfw",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 235
+        },
+        "outputId": "f8d17a07-5238-4cfc-dddb-bf6f6f1d334c"
+      },
+      "cell_type": "code",
+      "source": [
+        "ct['Acting, Comedy & Music'] = ct['Acting, Comedy & Music'] * 100\n",
+        "ct['Government and Politics'] = ct['Government and Politics'] * 100\n",
+        "ct['Media'] = ct['Media'] * 100\n",
+        "ct['Other'] = ct['Other'] * 100\n",
+        "ct.head()"
+      ],
+      "execution_count": 21,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th>Occupation</th>\n",
+              "      <th>Acting, Comedy &amp; Music</th>\n",
+              "      <th>Government and Politics</th>\n",
+              "      <th>Media</th>\n",
+              "      <th>Other</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Year</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>1999</th>\n",
+              "      <td>90.361446</td>\n",
+              "      <td>1.204819</td>\n",
+              "      <td>6.626506</td>\n",
+              "      <td>1.807229</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2000</th>\n",
+              "      <td>73.964497</td>\n",
+              "      <td>8.284024</td>\n",
+              "      <td>12.426036</td>\n",
+              "      <td>5.325444</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2001</th>\n",
+              "      <td>72.611465</td>\n",
+              "      <td>3.821656</td>\n",
+              "      <td>19.745223</td>\n",
+              "      <td>3.821656</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2002</th>\n",
+              "      <td>62.264151</td>\n",
+              "      <td>6.918239</td>\n",
+              "      <td>26.415094</td>\n",
+              "      <td>4.402516</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2003</th>\n",
+              "      <td>56.024096</td>\n",
+              "      <td>10.240964</td>\n",
+              "      <td>24.698795</td>\n",
+              "      <td>9.036145</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "Occupation  Acting, Comedy & Music  Government and Politics      Media  \\\n",
+              "Year                                                                     \n",
+              "1999                     90.361446                 1.204819   6.626506   \n",
+              "2000                     73.964497                 8.284024  12.426036   \n",
+              "2001                     72.611465                 3.821656  19.745223   \n",
+              "2002                     62.264151                 6.918239  26.415094   \n",
+              "2003                     56.024096                10.240964  24.698795   \n",
+              "\n",
+              "Occupation     Other  \n",
+              "Year                  \n",
+              "1999        1.807229  \n",
+              "2000        5.325444  \n",
+              "2001        3.821656  \n",
+              "2002        4.402516  \n",
+              "2003        9.036145  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 21
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "QIuZtFGsZyQy",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 235
+        },
+        "outputId": "922996df-d623-4a45-82e9-d1570f18776f"
+      },
+      "cell_type": "code",
+      "source": [
+        "ct = ct.astype(int)\n",
+        "ct.head()"
+      ],
+      "execution_count": 22,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th>Occupation</th>\n",
+              "      <th>Acting, Comedy &amp; Music</th>\n",
+              "      <th>Government and Politics</th>\n",
+              "      <th>Media</th>\n",
+              "      <th>Other</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Year</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>1999</th>\n",
+              "      <td>90</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2000</th>\n",
+              "      <td>73</td>\n",
+              "      <td>8</td>\n",
+              "      <td>12</td>\n",
+              "      <td>5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2001</th>\n",
+              "      <td>72</td>\n",
+              "      <td>3</td>\n",
+              "      <td>19</td>\n",
+              "      <td>3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2002</th>\n",
+              "      <td>62</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26</td>\n",
+              "      <td>4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2003</th>\n",
+              "      <td>56</td>\n",
+              "      <td>10</td>\n",
+              "      <td>24</td>\n",
+              "      <td>9</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "Occupation  Acting, Comedy & Music  Government and Politics  Media  Other\n",
+              "Year                                                                     \n",
+              "1999                            90                        1      6      1\n",
+              "2000                            73                        8     12      5\n",
+              "2001                            72                        3     19      3\n",
+              "2002                            62                        6     26      4\n",
+              "2003                            56                       10     24      9"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 22
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Nqf9oJJDDu-d",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "# Part 2 — Recreate this explanatory visualization:"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "scozkHQc0_eD",
+        "colab_type": "code",
+        "outputId": "64a105e6-8fa5-45e5-c78e-d29fcd19b3f2",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 406
+        }
+      },
+      "cell_type": "code",
+      "source": [
+        "from IPython.display import display, Image\n",
+        "url = 'https://fivethirtyeight.com/wp-content/uploads/2015/08/hickey-datalab-dailyshow.png'\n",
+        "example = Image(url, width=500)\n",
+        "display(example)"
+      ],
+      "execution_count": 0,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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ZBtnkfptMLmk+J6HR1RolfR2cZ4kCMURmERt2i1wRFHvq1F3TaMmmGBsU6Ssc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\n4JhflzBydcIRb30AAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<IPython.core.display.Image object>"
+            ]
+          },
+          "metadata": {
+            "tags": [],
+            "image/png": {
+              "width": 500
+            }
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "W7lw3JzAE6BJ",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Hint:** use the crosstab you calculated in part 1!\n",
+        "\n",
+        "**Expectations:** Your plot should include:\n",
+        "- 3 lines visualizing \"occupation of guests, by year.\" The shapes of the lines should look roughly identical to 538's example. Each line should be a different color. (But you don't need to use the _same_ colors as 538.)\n",
+        "- Legend or labels for the lines. (But you don't need each label positioned next to its line or colored like 538.)\n",
+        "- Title in the upper left: _\"Who Got To Be On 'The Daily Show'?\"_ with more visual emphasis than the subtitle. (Bolder and/or larger font.)\n",
+        "- Subtitle underneath the title: _\"Occupation of guests, by year\"_\n",
+        "\n",
+        "Any visual element not specifically mentioned in the expectations is an optional bonus, but it's _not_ required to pass the Sprint Challenge.\n",
+        "\n",
+        "\n",
+        "\n",
+        "\n"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "E8XBAr8rz_Na",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "plt.style.use('fivethirtyeight')"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "hI27NYHVkkpV",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "ct_2 = ct.copy()"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "rgaTZE5bnl_V",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 235
+        },
+        "outputId": "1ef203a2-597b-4d71-802e-f835508215f3"
+      },
+      "cell_type": "code",
+      "source": [
+        "ct_2 = ct_2[['Acting, Comedy & Music', 'Government and Politics', 'Media']]\n",
+        "ct_2.head()"
+      ],
+      "execution_count": 100,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th>Occupation</th>\n",
+              "      <th>Acting, Comedy &amp; Music</th>\n",
+              "      <th>Government and Politics</th>\n",
+              "      <th>Media</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>Year</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>1999</th>\n",
+              "      <td>90</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2000</th>\n",
+              "      <td>73</td>\n",
+              "      <td>8</td>\n",
+              "      <td>12</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2001</th>\n",
+              "      <td>72</td>\n",
+              "      <td>3</td>\n",
+              "      <td>19</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2002</th>\n",
+              "      <td>62</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2003</th>\n",
+              "      <td>56</td>\n",
+              "      <td>10</td>\n",
+              "      <td>24</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "Occupation  Acting, Comedy & Music  Government and Politics  Media\n",
+              "Year                                                              \n",
+              "1999                            90                        1      6\n",
+              "2000                            73                        8     12\n",
+              "2001                            72                        3     19\n",
+              "2002                            62                        6     26\n",
+              "2003                            56                       10     24"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 100
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "lYvqm7gFjx9t",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 300
+        },
+        "outputId": "1c32a13b-69de-42cd-8254-efe8bc4734df"
+      },
+      "cell_type": "code",
+      "source": [
+        "ct_2.plot.line();"
+      ],
+      "execution_count": 112,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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E1dpJUN1gIMrk/KWwyTBmRxTT6he8Z0xZxFVaKkuslSVOuLdj3dexVC+XFV9Bca5du5au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\nAAAAAABJRU5ErkJggg==\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f659a0cdd68>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "iXAAMxAWkb0-",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 528
+        },
+        "outputId": "23aa9bb8-7d67-4495-ad12-0d1c64dd7510"
+      },
+      "cell_type": "code",
+      "source": [
+        "\n",
+        "plt.style.use('fivethirtyeight')\n",
+        "\n",
+        "# Plot the DataFrame\n",
+        "ax = ct_2.plot.line(legend=False, figsize=(12, 8));\n",
+        "\n",
+        "# Set x & y ticks\n",
+        "ax.set(yticks=range(0, 125, 25),\n",
+        "   xticks=range(2000, 2016, 4))\n",
+        "\n",
+        "# Title\n",
+        "ax.text(x=1998, y=95, s=\"Who Got To Be On 'The Daily Show'?\",\n",
+        "       fontsize=25, fontweight='bold')\n",
+        "\n",
+        "# Subtitle\n",
+        "ax.text(x=1998, y=89, s=\"Occupation of Guests, by year\")\n",
+        "\n",
+        "# Make the x & y ticks bigger\n",
+        "ax.tick_params(axis='both', which='major', labelsize=18)\n",
+        "\n",
+        "ax.set_yticklabels(labels = ['0', '25', '50', '75', '100%'])\n",
+        "\n",
+        "# Add bold horizontal line at y=0\n",
+        "ax.axhline(y = 0, color = 'black', linewidth = 1.3, alpha=0.7)\n",
+        "\n",
+        "# Color-coded text labels\n",
+        "ax.text(x=2001, y=76, s='Acting, Comedy & Music', weight= 'bold', color='#2471A3')\n",
+        "ax.text(x=2008, y=50, s='Government and Politics', weight='bold', color='#F1C40F')\n",
+        "ax.text(x=2012, y=10, s='Media', weight='bold', color='#CB4335')\n",
+        "\n",
+        "# Remove the label of the x-axis\n",
+        "ax.xaxis.label.set_visible(False);\n",
+        "\n",
+        "\n"
+      ],
+      "execution_count": 121,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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TuJKkpCTVecrrhze3MTwFLWsdcjq/gYGBqkSWL+KGIT09XdV9KHMK2cyEh5my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\nYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f65999186d8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "LuacMjSf2ses",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "# Part 3 — Who were the top 10 guests on _The Daily Show_?\n",
+        "\n",
+        "**Make a plot** that shows their names and number of appearances.\n",
+        "\n",
+        "**Hint:** you can use the pandas `value_counts` method.\n",
+        "\n",
+        "**Expectations:** This can be a simple, quick plot: exploratory, not explanatory. \n",
+        "\n",
+        "If you want, you can add titles and change aesthetics, but it's _not_ required to pass the Sprint Challenge."
+      ]
+    },
+    {
+      "metadata": {
+        "id": "tbwfBN3HsFlh",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1071
+        },
+        "outputId": "19c6b692-8ffc-40fb-ecc6-d326a2edc0d3"
+      },
+      "cell_type": "code",
+      "source": [
+        "guest = df['Guest'].value_counts()\n"
+      ],
+      "execution_count": 73,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Fareed Zakaria                                  19\n",
+              "Denis Leary                                     17\n",
+              "Brian Williams                                  16\n",
+              "Ricky Gervais                                   13\n",
+              "Paul Rudd                                       13\n",
+              "Tom Brokaw                                      12\n",
+              "Will Ferrell                                    10\n",
+              "Richard Lewis                                   10\n",
+              "Reza Aslan                                      10\n",
+              "Bill O'Reilly                                   10\n",
+              "Sarah Vowell                                     9\n",
+              "Adam Sandler                                     8\n",
+              "Maggie Gyllenhaal                                8\n",
+              "Mike Huckabee                                    8\n",
+              "Ben Affleck                                      8\n",
+              "Louis C.K.                                       8\n",
+              "Samuel L. Jackson                                7\n",
+              "Colin Firth                                      7\n",
+              "Jeff Garlin                                      7\n",
+              "Doris Kearns Goodwin                             7\n",
+              "Michael Moore                                    7\n",
+              "Bill Clinton                                     7\n",
+              "Bob Dole                                         7\n",
+              "Steve Carell                                     7\n",
+              "Austan Goolsbee                                  6\n",
+              "Neil deGrasse Tyson                              6\n",
+              "Paul Giamatti                                    6\n",
+              "Sen. John McCain                                 6\n",
+              "Newt Gingrich                                    6\n",
+              "Bill Kristol                                     6\n",
+              "                                                ..\n",
+              "Aubrey Plaza                                     1\n",
+              "Sean Hayes                                       1\n",
+              "Timothy Hutton                                   1\n",
+              "Bill Goldberg                                    1\n",
+              "Pelí©                                            1\n",
+              "James van der Beek                               1\n",
+              "Joel Kinnaman                                    1\n",
+              "Third Anniversary Special                        1\n",
+              "Jamie Oliver                                     1\n",
+              "Will Arnett                                      1\n",
+              "David Cross (show hosted by Stephen Colbert)     1\n",
+              "Sen. Christopher Dodd                            1\n",
+              "Nia Long                                         1\n",
+              "Harold Ramis                                     1\n",
+              "Aneesh Chopra                                    1\n",
+              "John Ritter                                      1\n",
+              "Mark Ebner                                       1\n",
+              "Heath Ledger                                     1\n",
+              "Nicola Sturgeon                                  1\n",
+              "Ron Insana                                       1\n",
+              "Barbara Walters                                  1\n",
+              "Paul Clemens                                     1\n",
+              "Esperanza Spalding                               1\n",
+              "J.J. Abrams                                      1\n",
+              "Robert Pallitto                                  1\n",
+              "Cory Booker                                      1\n",
+              "Richard Dreyfuss                                 1\n",
+              "Pink                                             1\n",
+              "Simon Cowell                                     1\n",
+              "Matt Bai                                         1\n",
+              "Name: Guest, Length: 1669, dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 73
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "a572-Hxsh63a",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 340
+        },
+        "outputId": "2f4c1b38-e470-4e21-e392-3de5ef5ab7d2"
+      },
+      "cell_type": "code",
+      "source": [
+        "guest[:10].plot.bar()"
+      ],
+      "execution_count": 79,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f659a2fccf8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 79
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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8ulcC/5URyCpIKShb3RFeI+mDlKXUd6c0WZ5LWaMra85U2gVXvySgxsxtafVn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\n/8HNZek7k/eVAAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f659a32f780>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "iVILqndOjCf0",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        ""
+      ],
+      "execution_count": 0,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file
diff --git a/LS_DS_122_Choose_appropriate_visualizations.ipynb b/LS_DS_122_Choose_appropriate_visualizations.ipynb
new file mode 100644
index 0000000..8d193a4
--- /dev/null
+++ b/LS_DS_122_Choose_appropriate_visualizations.ipynb
@@ -0,0 +1,8048 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "LS_DS_122_Choose_appropriate_visualizations.ipynb",
+      "version": "0.3.2",
+      "provenance": [],
+      "collapsed_sections": [
+        "6RvCiUTkC58C",
+        "ZHVi9_H7C59L"
+      ],
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/Captmoonshot/DS-Sprint-02-Storytelling-With-Data/blob/master/LS_DS_122_Choose_appropriate_visualizations.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "DUfWV1igC55H",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "_Lambda School Data Science_\n",
+        "# Choose appropriate visualizations"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "T0o6RMjVC55S",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "# Upgrade Seaborn\n",
+        "\n",
+        "Make sure you have at least version 0.9.0"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "1wKUkRzqC55X",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 207
+        },
+        "outputId": "b56680eb-e2d5-46f1-a7a4-a8450f35f31d"
+      },
+      "cell_type": "code",
+      "source": [
+        "!pip install --upgrade seaborn"
+      ],
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "Requirement already up-to-date: seaborn in /usr/local/lib/python3.6/dist-packages (0.9.0)\n",
+            "Requirement already satisfied, skipping upgrade: numpy>=1.9.3 in /usr/local/lib/python3.6/dist-packages (from seaborn) (1.14.6)\n",
+            "Requirement already satisfied, skipping upgrade: matplotlib>=1.4.3 in /usr/local/lib/python3.6/dist-packages (from seaborn) (2.1.2)\n",
+            "Requirement already satisfied, skipping upgrade: pandas>=0.15.2 in /usr/local/lib/python3.6/dist-packages (from seaborn) (0.22.0)\n",
+            "Requirement already satisfied, skipping upgrade: scipy>=0.14.0 in /usr/local/lib/python3.6/dist-packages (from seaborn) (1.1.0)\n",
+            "Requirement already satisfied, skipping upgrade: pytz in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn) (2018.7)\n",
+            "Requirement already satisfied, skipping upgrade: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn) (0.10.0)\n",
+            "Requirement already satisfied, skipping upgrade: python-dateutil>=2.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn) (2.5.3)\n",
+            "Requirement already satisfied, skipping upgrade: six>=1.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn) (1.11.0)\n",
+            "Requirement already satisfied, skipping upgrade: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn) (2.3.0)\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "OG_kRjRTC55p",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "87a3625e-7ae5-4051-e349-15768bbae754"
+      },
+      "cell_type": "code",
+      "source": [
+        "import seaborn as sns\n",
+        "sns.__version__"
+      ],
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "'0.9.0'"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 2
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "HbE2a16OC551",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "# Fix misleading visualizations"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "zsipaN6DC553",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "%matplotlib inline\n",
+        "import matplotlib.pyplot as plt\n",
+        "import numpy as np\n",
+        "import pandas as pd"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "UHKsSl7kC558",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 224
+        },
+        "outputId": "bc91c94a-a5e5-4144-8152-0c895f9b8318"
+      },
+      "cell_type": "code",
+      "source": [
+        "!wget https://raw.githubusercontent.com/LambdaSchool/DS-Sprint-02-Storytelling-With-Data/master/module2-choose-appropriate-visualizations/misleading.py\n",
+        "    \n",
+        "import misleading"
+      ],
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "--2018-11-13 17:12:41--  https://raw.githubusercontent.com/LambdaSchool/DS-Sprint-02-Storytelling-With-Data/master/module2-choose-appropriate-visualizations/misleading.py\n",
+            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 151.101.0.133, 151.101.64.133, 151.101.128.133, ...\n",
+            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|151.101.0.133|:443... connected.\n",
+            "HTTP request sent, awaiting response... 200 OK\n",
+            "Length: 1641 (1.6K) [text/plain]\n",
+            "Saving to: ‘misleading.py’\n",
+            "\n",
+            "\rmisleading.py         0%[                    ]       0  --.-KB/s               \rmisleading.py       100%[===================>]   1.60K  --.-KB/s    in 0s      \n",
+            "\n",
+            "2018-11-13 17:12:41 (137 MB/s) - ‘misleading.py’ saved [1641/1641]\n",
+            "\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "3_iwAEdlC56K",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Fix misleading plot #1"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "FffREoE-C56M",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 331
+        },
+        "outputId": "478594df-5834-4033-b8b3-8adc3a710239"
+      },
+      "cell_type": "code",
+      "source": [
+        "misleading.plot1()"
+      ],
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f63ef6113c8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 4
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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J4GvACOCRiFgTEf/QzzklSVVUPUPPzAs7Gb67H7JIkvrAO0UlqRAWuiQVwkKXpEJY6JJU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\nAABJRU5ErkJggg==\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f640ad330f0>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "xGXbt7_MC56W",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "misleading??\n"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "RY0hJa8LEGDp",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "insurance = pd.DataFrame(index=['State Farm', 'GEICO'], data={'Market Share %': [18.07, 12.79]})\n",
+        "\n",
+        "\n",
+        "def plot1():\n",
+        "    return insurance.plot.bar(ylim=(0, 20))\n"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "ed6yke9TEMmp",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 331
+        },
+        "outputId": "dc9cab36-925f-4252-980d-2a12ca877b20"
+      },
+      "cell_type": "code",
+      "source": [
+        "# y-axis doesn't start at zero\n",
+        "plot1()"
+      ],
+      "execution_count": 28,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f63ec3818d0>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 28
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63ec374d30>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "DzR2tM8kC56c",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Fix misleading plot #2"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "QtSyzFIbC56h",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 327
+        },
+        "outputId": "b299ed2a-93b2-4f33-8d30-9b3f0c8dbdfa"
+      },
+      "cell_type": "code",
+      "source": [
+        "misleading.plot2()"
+      ],
+      "execution_count": 29,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f63ec2cc198>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 29
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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hWiNVsdWxa5qihhsJYIwxu+U4W1Y4MfdSfHQSQWexVQHzb+KJCtshWivVDLp+\nvh+0NaYAlwIdbIbQWWxVQN1kO0AmwlJezaqprloH3Gkzw/EFc99cVjru3fOLnj66QNjDZhalWuEL\nIGjTlgHp3VIVBn8EfkKef97esubD+4urP9y34NPD8/m5SmXJHcQTm22HyEToR2wANdVVq4CH8/V5\n7dm66Y7iG2bOLPn5nlpqKqB2ALfYDpGpSBRb0nX5+JAfFc54ZXHp+euPK5w/SqfmVgH2CPHEx7ZD\nZCq0N8E3xYm5TwMn5OK9D5EVy+8qub62XDYPzsX7K5VnBxNPBHbVt6gcY6t3HVkutgaz2B4pEqkR\nsAqvfwW51CBau6LUVFe9CLyejfdqYhbbSP1ZqlAL/FyGURuxgfeX9khb3kBnsVUhNpt4YobtEG0V\nxWJ7DO+G/n6tfWF/WfXefSXVn+kstirEfmk7QDZE6uRBPSfmjgfuSHd7bxbbm94cUbBYZ7FVYfY3\n4olTbYfIhqgeF7obWNzSRkJd3cVF019eWDp+21GFi0dqqakQqwV+bTtEtkRyxAbgxNxRpFhKrMEs\ntgPyl0opa6YQT/yP7RDZEtliA3Bi7nTgew2f01lsVQRtBPoRT3xiO0i2RHVXtN4kYAt4s9j+qfjP\nM3UWWxVB14ep1CDiIzYAJ+b+9qzC50+8wpvFtpftPErlWQ0wiHhiU0sbBknki+3DK/Yr7SmfLSGD\nyz+UCoFvE0+8YDtEtkV9V5Sev3tnG/Bj2zmUsuAvYSw10GLzxBP/AO6zHUOpPPoI7xhzKGmx7fJz\nYK3tEErlyY+IJxK2Q+SKFlu9eOJz4HzbMZTKgweIJ1zbIXJJi62heOJJAjxrqFJp+ASYaDtErmmx\nfd0vgQW2QyiVI/9DPPGF7RC5psXWWDyxDTidXWuqKhUWU4gn/mY7RD5osTUlnliJt6qVUmExH7jY\ndoh8ifwFuinFy/8KnGk7hlJt9CUwjHjiPdtB8kVHbKlNwJuUUqmgMsA5USo10GJLLZ7YAHwXWG87\nilIZiodhqu/W0mJrSTyxGDgNbyI+pYLkceAq2yFs0GJLRzzxHN5uqVJBsQxvFzSSB9G12NIVT9wF\nXGM7hlJpWAWckDyUEklabK1zGfCw7RBKpbAWbyqiVbaD2KSXe7RWvLwUeAEYYTuKUo1sAL4Z9FXc\ns0GLLRPx8s7Aq0B/21GUStoGnEg80ewCRVGiu6KZ8O61OwZYaTuKUsBO4AwttV202DIVT3wEjAKW\nW06ios0A44knHrcdxE+02NoinliNV25LLSdR0WSAi4gn7rEdxG/0GFs2xMv3BP4BDLEdRUVGLfAD\n4on7bQfxIy22bImXdwGeBw5sywOKAAAFfklEQVSyHUWF3hbgtLDPgtsWWmzZFC/fA3gOONh2FBVa\nXwKjiSdm2w7iZ3qMLZviiXXAt4C/246iQmk1cLSWWsu02LItnlgPjAH+ZDuKCpV3gBHJSRlUC3RX\nNJfi5T8EpgDFtqOoQJsL/BfxxBrbQYJCR2y5FE/8Bfg28LntKCqwbgOO0lJrHR2x5UO8vC8wA6i0\nHUUFxhZgAvHEVNtBgkiLLV/i5bsBDwEn2Y6ifO9d4LvEEwttBwkq3RXNF++kwmjg53g3LCvVFBcY\nrqXWNjpisyFePgR4ABhkO4ryjTrgd8BVUZ31Npu02Gzx5nWrBi4CxHIaZddKvNuj9Pq0LNFisy1e\nfhxwL7C35SQq/3YCfwR+Szyx1XaYMNFi8wPvPtM78Jb6U9GwFG+UNtd2kDDSYvOTePl38f4H7207\nisqZWuBa4Eriie22w4SVFpvfxMvLgBjwK6Cd5TQquxbgjdLetB0k7LTY/Cpe3gdv9HaK7SiqzT4G\nrgDuIZ7YaTtMFGix+V28/HjgJuAA21FUq20ErgNuIJ7YbDtMlGixBUG8vBjvspAY0MVyGtWyWuBO\nIE488antMFGkxRYk8fKOwARgEtDdchrVtMeBGPHEv20HiTIttiDyTjCMxzvB0MNyGuXdNfAE8Afi\niVdth1FabMHm3b0wDm8XVS8Ryb/NwD3AjcQTb9sOo3bRYgsD7xjc2XjH4XSlrNxbDdwK3JZcPFv5\njBZb2MTLvwH8GDgNvQ4u2xbjXYLzoF5c629abGEVL++MN4o7DxhqN0ygrcGbR+8B4on5tsOo9Gix\nRUG8fChewX0f6GY3TCBsAP4P+CvwT72oNni02KIkXl4AHI63itYYYKDdQL6yA3gWr8yeJJ7YYjmP\nagMttijz1mKoL7mjid5qWquAZ5KPF5KzHKsQ0GJTnnh5OXA8cCxwGN5ortBqpuz7ApgFvIi3i7nU\nch6VI1psqmneXQ6H4JXc4cmve1nN1Dqb8c5iLkw+XgEWEU/UWU2l8kKLTaUvXt6bXaO5/YC+ya+2\nT0h8yK4Cq3+8pSUWXVpsqu280V3fBo/9gK5AObBbo0cnWl7jYQewPfn4Am/an4+Bjxp99R46c4Zq\nRItN5Ve8XPDKbTe85R+3f+WhF76qLNBiU0qFji6YrFSSiHQXkQdF5F0RmS8ir4rId0RklIgkRGRB\ng8exyddsbPD6/iLydxF5S0TeEJFHRKR78nsjRGSuiKxIPi6w9XNGQZHtAEr5gYgI3lxqU40xY5PP\n9QZOBtYB/zLGjE7x+nZ4q7j/3BgzI/ncKKBr8r0fBE4xxrwhInsCz4rIR8YYN5c/V1TpiE0pzzHA\ndmPMbfVPGGPeN8bckubrxwKv1pda8vUzjTFLgAuBe40xbySf/wxvLr1Y1tKrr9BiU8ozEHgjxfeP\narQrul+j7w8CmrtJfmAT35uH3tKWM7orqlQTROTPwAi8s7W/pIVdUeUvOmJTyrMUGFb/G2PMhcC3\n8K7HS/f1w5v53rImvjc8+RqVA1psSnn+CbQTkQkNnmvfitc/CHxDRKrqnxCRo0VkEPBn4DwRGZp8\nvgveavDXtT22aopex6ZUkojsDfwJ77axtcAm4DbgE7zFWt5rsPlkY8yjIrLRGNMx+foK4Ea8Oy92\nAIuAi4wxn4jI0cAN7Lrz4kZjzJT8/GTRo8WmlAod3RVVSoWOFptSKnS02JRSoaPFppQKHS02pVTo\naLEppUJHi00pFTpabEqp0NFiU0qFjhabUip0tNiUUqGjxaaUCh0tNqVU6GixKaVCR4tNKRU6WmxK\nqdDRYlNKhY4Wm1IqdLTYlFKho8WmlAodLTalVOhosSmlQkeLTSkVOlpsSqnQ0WJTSoWOFptSKnS0\n2JRSofP/LrNWcuvLhmgAAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63ec288fd0>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Ek6PKoIlC57f",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "misleading.plot2??"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "FTM8MJEKFc4E",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "def plot2():\n",
+        "    return insurance.plot.pie('Market Share %', figsize=(5, 5))\n"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "ihq9e0_aFfnW",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 80
+        },
+        "outputId": "5bc21744-b7aa-44de-8337-e83c4151e574"
+      },
+      "cell_type": "code",
+      "source": [
+        "# Doesn't add up to 100%\n",
+        "other = pd.DataFrame(index=['Other'], data={'Market Share %': [100-18.07-12.79]})\n",
+        "\n",
+        "other "
+      ],
+      "execution_count": 42,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>Market Share %</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>Other</th>\n",
+              "      <td>69.14</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "       Market Share %\n",
+              "Other           69.14"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 42
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "whrqbxOAC57m",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Fix misleading plot #3"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "lnjtON3fC57n",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 336
+        },
+        "outputId": "2f7197aa-9b48-4bd6-a833-658ed55cfb1a"
+      },
+      "cell_type": "code",
+      "source": [
+        "misleading.plot3()"
+      ],
+      "execution_count": 43,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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SK4GP0p4i/FV0GG0YixWQFdUWtOe3Hb6W1u7TtHOufMEQWVFtC7wD2JdhLuQ5NMuB9wAH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\nJGlGLFaSJEkz8v8B7VusKzwbg08AAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63ec1be400>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "WEBHiG_hIDbH",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "misleading.plot3??"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "Kn3fZm8_IMbj",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "import math\n",
+        "def plot3():\n",
+        "    import matplotlib.pyplot as plt\n",
+        "    \n",
+        "    fig, ax = plt.subplots(figsize=(10, 5))\n",
+        "    ax.set_xlim((0, 80))\n",
+        "    ax.set_ylim((0, 40))\n",
+        "    plt.axis('off')\n",
+        "\n",
+        "    circle = plt.Circle(xy=(20, 20), radius=math.sqrt(18.07))\n",
+        "    ax.add_artist(circle)\n",
+        "\n",
+        "    circle = plt.Circle(xy=(60, 20), radius=math.sqrt(12.79))\n",
+        "    ax.add_artist(circle)\n",
+        "\n",
+        "    plt.title('State Farm vs GEICO')\n",
+        "    plt.show()"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "25WSaf3vIk4D",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "b014d8f5-b9ac-4fa3-a618-8d7d30c805ed"
+      },
+      "cell_type": "code",
+      "source": [
+        "18.07 / 12.79"
+      ],
+      "execution_count": 52,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "1.4128225175918687"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 52
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "XFtBZsQKIq_6",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "332f8f54-69e4-49a2-d737-19ee3ddec196"
+      },
+      "cell_type": "code",
+      "source": [
+        "18.07**2 / 12.79**2"
+      ],
+      "execution_count": 53,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "1.9960674662146263"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 53
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "dR-PRVBkJAad",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        ""
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "xlJvpn80C57r",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 336
+        },
+        "outputId": "ec0aa132-5033-410c-dd04-4ffa4fb0340a"
+      },
+      "cell_type": "code",
+      "source": [
+        "# Size of plots look misleading\n",
+        "plot3()"
+      ],
+      "execution_count": 54,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlYAAAE/CAYAAACEto0QAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBo\ndHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAFCJJREFUeJzt3Xu0dHdd3/HPl0tCMCExRGJIItMu\ni9xiQEpApdXatJJMaQGpFe3iYiMgeKkSyoAtYLUwUC0gtgQ0NCImLUVUdLgVbJcIQhJDidh0oegg\nUXKBkHtCIPn1j5knHB6ey7n8ztnn8nqtdVZyzszZ+ztPnsx5n9/es6daawEAYOPuMfQAAAC7hbAC\nAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgp2kap6fFV9uKpuqKrrqupDVfWY5W3PrKo/XMO2\nRlXVqupe65xl3/ffvOLj4+vZ1nZSVT9UVZdU1S1VdU1VfaSqnrvi9rdW1R37Pe4/Xt72zVXV9tve\n46rqPSv+m320qp6+4vbjq+q8qrq6qm6tqstX3g5sL8IKdomqul+S30vy+iTHJzk5yc8m+eKQcyU5\nrrV29PLj9LV+83rDbjNU1YuS/GKSVyY5cfnxvCTfVVX3XHHXV6x4zEe31h59kO09Psn7k3wgyd9O\ncv8kP5bk7OXtRy5vOyXJGUmOSzJJ8otV9ROb8BCBDRJWsHs8OElaaxe11u5srd3WWntfa+3yqnpo\nkvOSfPtyBeX6JKmqcVV9rKpurKrPVNXLV2zvD5b/vH75Pd++/J4frqorquoLVfXeqnrQWgetqr9T\nVf9ruULzuar69ao6dsXtV1bVC6vqT5LcsuJr51bVJ5bzvKmqTlzOcGNVva+qjjvI/v6sqp6w4vMj\nlvv+1qq6b1VdWFWfr6rrq+riqjrhANv4+iQvT/Kc1to7Wms3t4XLWmtPa63dudY/hyS/kOT81tp/\nbK19frm9S1prP7C8/ZlJTkry/a21T7fW7mitvSvJv07y81V19Dr2CWwiYQW7xyeT3FlVv1ZVZy1D\nIEnSWrsiyXOT/NFyBWVfgNyS5OlZrISMk/xoVT1pedvfX/5z34rTH1XVP0vykiRPSfINST6Y5KJ1\nzFpJfj7JNyZ5WBarNf9uv/v8QJKzlrPt8+Qk35PkIUm+L8ksyb9J8oAkRyZ5/kH2d1GSp634/Kwk\nf9NauzzJs5LcN4tVoftnsQJ1+wG28Z1ZPGf+7moe4OFU1TFZrEK9/RB3+0dJZq21W/f7+tuTHJ3k\nsT1mAfoRVrBLtNZuTPL4JC3JryS5tqreWVUnHuJ7/ndr7U9aa3ctI+OiJN91iN08N8krW2tXtNa+\nnOQVSR55mFWrzy1Xgq6vqnOX+/1ka+0DyxWYa5K85gD7fV1r7crW2m0rvvZLrbVrWmtXJvnDLELx\n462125P8dpJHHWSGC5M8qarus/z8B5dfS5IvJTkhyTcvV/ouba3dfIBtnJDk2tbaXfu+sFzdur6q\nbquq71hx38mKx3x9VZ1/gO0dn0VgfvYgM+/b59fc3lr7YpLrlrcD24iwgl1kGTzPbK2dkuQRSR6Y\n5LUHu39VPXZ5SO7aqrohi3A61A/rByV53b5gyOKHe2VxPtfBnNBaO2758QvL/X5jVb2tqv66qm5M\ncsEB9vuZA2zr6hX/ftsBPj/gobHW2v9L8qkk4+Xhs3+Sr4TVBVmc57RvnulBzuv6fJIHVNXdz5ut\ntTOWq3835KufT6crHvNxrbV/dYDtXZdFBJ90oJmXPneg25fnXh2/vB3YRoQV7FLLmLggi8BKFj/E\n93dhkncmObW1dmwW52HVIe7/mSzOMVoZDUe11j68xvFelcVJ9ae11u6XxblEtd99DrT/jdh3OPDJ\nSf5Pa22eJMtVs5e31h6axYrfk5P80AG+/0NJ7kzyxB7DtNZuSnJxFoc0D+b9Sc6uqqP2+/pTsziM\ne3GPWYB+hBXsElX1kKp6QVWdsvz81CxC4iPLu1yd5JSqOmLFtx2T5LrW2u1VdUYWh8j2uTbJXVmc\n/7TPeUleXFUPX+7j2Kr65+sY95gswuCG5ZznrmMba3VRFudWPTtfWa1KVX1PVT1iuRJ1YxaHBu/a\n/5tba9cl+bkk51XVU6rq6Kq6R1U9Ksn+4bNaL0xyTlX9dFUdv5znUVW1b75fS3JNFqtpD1qedH9W\nFodOX7qMM2AbEVawe9yUxcnMH62qW7IIqk8kecHy9t9P8qdJrqqqfYeQnpfk31fVTUlemuRt+za2\nPGH6PyT50PLQ3+Naa7+VxWrTf1sewvtEFrGyVi/L4sTtG7JYMfvNdWxjTZbnZV2a5HFZ8TizOFz6\njiyi6k+zWCW68Gs2sNjGK5K8KIsT+K9JclWSN2TxZ/zRFXd9SX31dayuOsj2PpjkzCTfm2ReVdct\nt/eu5e23ZXGy/lVJLsniz+vVSV7UWnvNWv8MgM1XrfVebQcA2JusWAEAdCKsAAA6EVYAAJ0IKwCA\nToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibAC\nAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0I\nKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQ\nibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYA\nAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNh\nBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6\nEVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoA\noBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKs\nAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAn\nwgoAoBNhBQDQibACAOjkXkMPwN41msxOTfKoJN+2/HhEkvslOSrJvZPckeT2JF9IcnmSy/Z9zKfj\nq4eYGQAOpVprQ8/AHjKazL47ybOTnJnkGzawqc8meXeSN86n44s7jAYAGyas2HSjyez4JM/MIqi+\nZRN28bEkb0zyG/Pp+OZN2D4ArIqwYtOMJrMTkrwyyb9Mcp8t2OVNSX41yUsFFgBDEFZsitFk9rQk\nr8vGDvet118lec58On7PAPsGtpHRZPZ1SU5PcmoWv+AdkeSLSW5L8ukkl8+n49uHm5DdRljR1Wgy\nOznJG5I8cehZkrwlyU/Np+Prhh4E2BqjyexBSb4vyaOzeFHMg3PoV8B/OckVWbww5pIkb/fiGDZC\nWNHNcpXqDUmOHXqWFa5O8oz5dPzeoQcBNsdoMrtnknGS5yb53mzsUkJfSvI7WZy3+YH5dOyHJGsi\nrOhiNJmdm+TVSWroWQ7gy0meNZ+O3zr0IEA/y6D6iSQ/neSUTdjFnyd55Xw6fvMmbJtdSlixYaPJ\n7BVJXjz0HIfRkvzkfDp+/dCDABs3msxOS3J+ksdswe4+kORH5tPxX27BvtjhhBUbMprMXp7kZUPP\nsQbPmU/Hbxp6CGB9RpPZEUn+bZJJFhcS3iq3LPf7S/Pp+K4t3C87jLBi3UaT2U8mee3Qc6xRS/K0\n+XT834ceBFib0WR2/yS/l+RxA47x7iRPnU/Htw44A9uYsGJdRpPZI5NcnK39jbGXG5OcNp+O/2ro\nQYDVWb7i+H8meejQsyT5SJKz59PxF4YehO3HmzCzZsul+LdkZ0ZVsng/wgtGk9l2PNEe2M9oMjsx\nye9ne0RVslgxe89oMjtm6EHYfoQV6/FzSU4beogN+gdJfnzoIYBDG01m981iperBQ8+ynzOSvHP5\nykS4m7BiTUaT2XcmOXfoOTqZjiazzXjvQqCfV2f7/iL33UleNPQQbC/CilVbHjp7Y3bP35ujkvzy\n0EMABzaazM5M8ryh5ziMl40ms9OHHoLtY7f8gGRrnJnk4UMP0dmZo8lstz0m2PFGk9mxSf5rtudF\nh1c6IsmvL889BWHFmuzWc5J+bOgBgK8xzeZcTX0znBaHBFlyuQVWZTSZ/a0s3t5hN8b4LUlOmU/H\n1w89CHD39aquTHKfoWdZg2uSfNN8Ov7i0IMwrN34Q5LN8fzs3r8vX5fkWUMPAdztnOysqEqSByT5\n/qGHYHi79QclHS1fTvzDQ8+xyZ499ADA3c832/2E9YPZradLsAbCitV4WJKvH3qITfaQ0WR2/NBD\nAHlikm8aeoh1esxoMjtj6CEYlrBiNf7u0ANskb3yOGE7e8LQA2zQTp+fDRJWrMZeCY7HDD0AsOP/\nP9wrz5cchLBiNXb6E91qeUKEAY0msyOzfa+yvlqeR/Y4YcUhjSazeyf51qHn2CJ7JSBhuzo9O/fN\n3fc5aTSZnTz0EAxHWHE4JyU5cughtsjJo8nsXkMPAXvYbnlrmN3yOFgHYcXhHDX0AFtsrz1e2E7u\nN/QAneyWx8E6CCsOZ6ddpG+jhBUMZ7c833ge2cOEFYez197z6K6hB4A9bLc833ge2cOEFYdz29AD\nbLG99nhhO9kt///tlsfBOggrDufWoQfYQi3J7UMPAXvY54ceoJPd8jhYB2HF4fxNkpuGHmKL/Nl8\nOr5z6CFgD/vjoQfo5LKhB2A4wopDmk/HLbvnye5wLh16ANjjrkhyy9BDbNCn5tPxF4YeguEIK1Zj\nrwTHJUMPAHvZfDq+Kzt/tWevPF9yEMKK1dgrweEJEYa3059vdvr8bJCwYjX2QnDcmZ3/mzLsBu8Y\neoANuCvJbw89BMMSVhzWfDr+iyTzoefYZB+dT8d76RWQsC3Np+MPJfnY0HOs03vm0/Gnhh6CYQkr\nVusNQw+wyf7L0AMAd/vloQdYp9cPPQDDE1as1q9m91707uok/2PoIYC7XZiddy2oTyZ579BDMDxh\nxarMp+Prsniy243eOJ+O7xh6CGBhPh3fnuQ/DT3HGr1yeXka9jhhxVrsxmXuLyU5b+ghgK/x6uyc\nF868az4dXzD0EGwPwopVm0/HH0/y/qHn6OzC+XT82aGHAL7afDr+cpKnZ/u/zdR1Sc4Zegi2D2HF\nWj07yc1DD9HJVUleMPQQwIHNp+Mrkrxk6DkO40f9csZKwoo1mU/Hf5ndEyPnzKfjnXaCLOw1r03y\nO0MPcRDnzafjtw09BNuLsGLN5tPxm5K8a+g5Nuj8+XQ8G3oI4NCWJ4T/i2y/V9y9Ncnzhx6C7UdY\nsV7nZHFuwU40T/JTQw8BrM58Ov5ikicleefQsyy9Ockzl+9tCF+lWvPqUNZnNJk9IYsl+iOGnmUN\nbk7yD+fT8cVDDwKszWgyu2cWFyv+kYFGaFlcVuFnBto/O4CwYkNGk9lTkrwtyT2HnmUVbk1y1nw6\n/oOhBwHWbzSZPTGLwDp5C3f7ySzOy/zgFu6THcihQDZkPh2/I8kPZnE9qO3s5iT/VFTBzjefjn83\nycOT/EoWq0ib6c4kr0pyuqhiNaxY0cVoMvvHSX4zydFDz3IA1yY5ez4d75SLDQKrNJrM/l6SFyY5\nO31Xzu9I8ltJXjWfjnfqm0IzAGFFN6PJ7JFJ3pLktKFnWeHDSZ4xn47/fOhBgM0zmsxOzeJFNeck\neeAGNvUXSd6U5M3z6fjaHrOxtwgruhpNZvdO8uIkP5NhT2q/OYsLC/5nr9yBvWM0md0ryXckeXSS\nb1t+fEsOvJr1pST/N8lly49Lk3zUe/6xEcKKTTGazB6e5Pwkjx1g9+9L8uz5dPzpAfYNbDOjyey+\nSU5Kcp8k987iMN/tSf56eSkH6EZYsWlGk9k9sngLnB9P8rAt2OWlSV4zn44v3IJ9AcDXEFZsieUJ\nps9J8tQkR3bc9M1JLsrirSUu67hdAFgzYcWWGk1m90/yjCRnZnHuw4nr2MyVWZwP8e4kvzGfjm/q\nNyEArJ+wYlCjyeyB+coJpqclOSbJUfnq8yCuT/LxLE8w9UodALYrYQUA0IkrrwMAdCKsAAA6EVYA\nAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNh\nBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6\nEVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoA\noBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKs\nAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAn\nwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEA\ndCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQV\nAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhE\nWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCA\nToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibAC\nAOhEWAEAdCKsAAA6EVYAAJ0IKwCAToQVAEAnwgoAoBNhBQDQibACAOhEWAEAdCKsAAA6+f8XVVUb\nUO5S0gAAAABJRU5ErkJggg==\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63ec117a90>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "xy-t4G-RFR-_",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        ""
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "D11b1LXpC57v",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Fix misleading plot #4"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "55unGF6_C57v",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "_If you're on Jupyter (not Colab) then uncomment and run this cell below:_"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "-D5mDOVtC57x",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "# import altair as alt\n",
+        "# alt.renderers.enable('notebook')"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "t-RmWWZ2C574",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 348
+        },
+        "outputId": "ed35546f-9ab9-4b43-9c43-c2d5c20bffcd"
+      },
+      "cell_type": "code",
+      "source": [
+        "misleading.plot4()"
+      ],
+      "execution_count": 68,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Chart({\n",
+              "  data: UrlData({\n",
+              "    format: TopoDataFormat({\n",
+              "      feature: 'states',\n",
+              "      type: 'topojson'\n",
+              "    }),\n",
+              "    url: 'https://vega.github.io/vega-datasets/data/us-10m.json'\n",
+              "  }),\n",
+              "  encoding: EncodingWithFacet({\n",
+              "    color: Color({\n",
+              "      shorthand: 'State Farm policy premiums',\n",
+              "      type: 'quantitative'\n",
+              "    })\n",
+              "  }),\n",
+              "  height: 300,\n",
+              "  mark: 'geoshape',\n",
+              "  projection: Projection({\n",
+              "    type: 'albersUsa'\n",
+              "  }),\n",
+              "  transform: [LookupTransform({\n",
+              "    from: LookupData({\n",
+              "      data:                    state  id  State Farm policy premiums  \\\n",
+              "      0                Alabama   1                      768213   \n",
+              "      1                 Alaska   2                      128613   \n",
+              "      2                Arizona   4                      760003   \n",
+              "      3               Arkansas   5                      454931   \n",
+              "      4             California   6                     3655463   \n",
+              "      5               Colorado   8                      827143   \n",
+              "      6            Connecticut   9                      169773   \n",
+              "      7               Delaware  10                      191319   \n",
+              "      8   District of Columbia  11                       67231   \n",
+              "      9                Florida  12                     2806322   \n",
+              "      10               Georgia  13                     1761224   \n",
+              "      11                Hawaii  15                      133498   \n",
+              "      12                 Idaho  16                      130613   \n",
+              "      13              Illinois  17                     2256543   \n",
+              "      14               Indiana  18                      861382   \n",
+              "      15                  Iowa  19                      368898   \n",
+              "      16                Kansas  20                      351343   \n",
+              "      17              Kentucky  21                      680433   \n",
+              "      18             Louisiana  22                     1415980   \n",
+              "      19                 Maine  23                      101111   \n",
+              "      20              Maryland  24                      883401   \n",
+              "      21         Massachusetts  25                           0   \n",
+              "      22              Michigan  26                     1580398   \n",
+              "      23             Minnesota  27                      851940   \n",
+              "      24           Mississippi  28                      467887   \n",
+              "      25              Missouri  29                      883774   \n",
+              "      26               Montana  30                      156816   \n",
+              "      27              Nebraska  31                      273727   \n",
+              "      28                Nevada  32                      404688   \n",
+              "      29         New Hampshire  33                      103340   \n",
+              "      30            New Jersey  34                      619623   \n",
+              "      31            New Mexico  35                      261922   \n",
+              "      32              New York  36                     1666653   \n",
+              "      33        North Carolina  37                      842368   \n",
+              "      34          North Dakota  38                       67282   \n",
+              "      35                  Ohio  39                     1240075   \n",
+              "      36              Oklahoma  40                      636063   \n",
+              "      37                Oregon  41                      564416   \n",
+              "      38          Pennsylvania  42                     1654528   \n",
+              "      39          Rhode Island  44                           0   \n",
+              "      40        South Carolina  45                      874436   \n",
+              "      41          South Dakota  46                      101912   \n",
+              "      42             Tennessee  47                      889329   \n",
+              "      43                 Texas  48                     3395165   \n",
+              "      44                  Utah  49                      300403   \n",
+              "      45               Vermont  50                       30003   \n",
+              "      46              Virginia  51                      878312   \n",
+              "      47            Washington  53                      794882   \n",
+              "      48         West Virginia  54                      323608   \n",
+              "      49             Wisconsin  55                      443680   \n",
+              "      50               Wyoming  56                       90412   \n",
+              "      51           Puerto Rico  72                           0   \n",
+              "      \n",
+              "          BERKSHIRE HATHAWAY GRP  STATE TOTAL  \n",
+              "      0                   282947      3025561  \n",
+              "      1                    81366       454623  \n",
+              "      2                   604049      4373055  \n",
+              "      3                    96908      1777917  \n",
+              "      4                  2091720     25255501  \n",
+              "      5                   365797      4057463  \n",
+              "      6                   486498      2795415  \n",
+              "      7                   129033       802005  \n",
+              "      8                   115149       325239  \n",
+              "      9                  3952147     17333354  \n",
+              "      10                  821326      7571988  \n",
+              "      11                  184743       722550  \n",
+              "      12                   87222       863636  \n",
+              "      13                  412978      7028885  \n",
+              "      14                  201200      3506499  \n",
+              "      15                   58105      1650388  \n",
+              "      16                   76533      1725608  \n",
+              "      17                  186915      2805864  \n",
+              "      18                  369492      4136224  \n",
+              "      19                   68109       699558  \n",
+              "      20                 1059508      4554586  \n",
+              "      21                  473913      4924736  \n",
+              "      22                       0      8462142  \n",
+              "      23                  108942      3412460  \n",
+              "      24                  100827      1760180  \n",
+              "      25                  214191      3606590  \n",
+              "      26                   33538       668513  \n",
+              "      27                   61046      1167135  \n",
+              "      28                  262815      2129828  \n",
+              "      29                  103403       806545  \n",
+              "      30                 1441019      7375823  \n",
+              "      31                  174865      1284430  \n",
+              "      32                 3926684     12633982  \n",
+              "      33                  560700      5543700  \n",
+              "      34                   15516       454376  \n",
+              "      35                  405652      6303148  \n",
+              "      36                  151388      2515842  \n",
+              "      37                  223187      2647434  \n",
+              "      38                  602848      8270326  \n",
+              "      39                   97597       867558  \n",
+              "      40                  426033      3583918  \n",
+              "      41                   15682       508569  \n",
+              "      42                  292357      3769652  \n",
+              "      43                 2127633     19180816  \n",
+              "      44                  139315      1723931  \n",
+              "      45                   52939       359996  \n",
+              "      46                  884489      5105360  \n",
+              "      47                  478922      4780616  \n",
+              "      48                  110806      1209872  \n",
+              "      49                  131845      2950711  \n",
+              "      50                   30187       374169  \n",
+              "      51                       0       444480  ,\n",
+              "      fields: ['State Farm policy premiums'],\n",
+              "      key: 'id'\n",
+              "    }),\n",
+              "    lookup: 'id'\n",
+              "  })],\n",
+              "  width: 500\n",
+              "})"
+            ],
+            "text/html": [
+              "\n",
+              "<!DOCTYPE html>\n",
+              "<html>\n",
+              "<head>\n",
+              "  <style>\n",
+              "    .vega-actions a {\n",
+              "        margin-right: 12px;\n",
+              "        color: #757575;\n",
+              "        font-weight: normal;\n",
+              "        font-size: 13px;\n",
+              "    }\n",
+              "    .error {\n",
+              "        color: red;\n",
+              "    }\n",
+              "  </style>\n",
+              "\n",
+              "<script src=\"https://cdn.jsdelivr.net/npm//vega@3.3.1\"></script>\n",
+              "<script src=\"https://cdn.jsdelivr.net/npm//vega-lite@2.6.0\"></script>\n",
+              "<script src=\"https://cdn.jsdelivr.net/npm//vega-embed@3.14\"></script>\n",
+              "\n",
+              "</head>\n",
+              "<body>\n",
+              "  <div id=\"vis\"></div>\n",
+              "  <script type=\"text/javascript\">\n",
+              "    var spec = {\"config\": {\"view\": {\"width\": 400, \"height\": 300}}, \"data\": {\"url\": \"https://vega.github.io/vega-datasets/data/us-10m.json\", \"format\": {\"feature\": \"states\", \"type\": \"topojson\"}}, \"mark\": \"geoshape\", \"encoding\": {\"color\": {\"type\": \"quantitative\", \"field\": \"State Farm policy premiums\"}}, \"height\": 300, \"projection\": {\"type\": \"albersUsa\"}, \"transform\": [{\"lookup\": \"id\", \"from\": {\"data\": {\"name\": \"data-b615a17f98b0ca7d11f99dcf36616c5d\"}, \"key\": \"id\", \"fields\": [\"State Farm policy premiums\"]}}], \"width\": 500, \"$schema\": \"https://vega.github.io/schema/vega-lite/v2.6.0.json\", \"datasets\": {\"data-b615a17f98b0ca7d11f99dcf36616c5d\": [{\"state\": \"Alabama\", \"id\": 1, \"State Farm policy premiums\": 768213, \"BERKSHIRE HATHAWAY GRP\": 282947, \"STATE TOTAL\": 3025561}, {\"state\": \"Alaska\", \"id\": 2, \"State Farm policy premiums\": 128613, \"BERKSHIRE HATHAWAY GRP\": 81366, \"STATE TOTAL\": 454623}, {\"state\": \"Arizona\", \"id\": 4, \"State Farm policy premiums\": 760003, \"BERKSHIRE HATHAWAY GRP\": 604049, \"STATE TOTAL\": 4373055}, {\"state\": \"Arkansas\", \"id\": 5, \"State Farm policy premiums\": 454931, \"BERKSHIRE HATHAWAY GRP\": 96908, \"STATE TOTAL\": 1777917}, {\"state\": \"California\", \"id\": 6, \"State Farm policy premiums\": 3655463, \"BERKSHIRE HATHAWAY GRP\": 2091720, \"STATE TOTAL\": 25255501}, {\"state\": \"Colorado\", \"id\": 8, \"State Farm policy premiums\": 827143, \"BERKSHIRE HATHAWAY GRP\": 365797, \"STATE TOTAL\": 4057463}, {\"state\": \"Connecticut\", \"id\": 9, \"State Farm policy premiums\": 169773, \"BERKSHIRE HATHAWAY GRP\": 486498, \"STATE TOTAL\": 2795415}, {\"state\": \"Delaware\", \"id\": 10, \"State Farm policy premiums\": 191319, \"BERKSHIRE HATHAWAY GRP\": 129033, \"STATE TOTAL\": 802005}, {\"state\": \"District of Columbia\", \"id\": 11, \"State Farm policy premiums\": 67231, \"BERKSHIRE HATHAWAY GRP\": 115149, \"STATE TOTAL\": 325239}, {\"state\": \"Florida\", \"id\": 12, \"State Farm policy premiums\": 2806322, \"BERKSHIRE HATHAWAY GRP\": 3952147, \"STATE TOTAL\": 17333354}, {\"state\": \"Georgia\", \"id\": 13, \"State Farm policy premiums\": 1761224, \"BERKSHIRE HATHAWAY GRP\": 821326, \"STATE TOTAL\": 7571988}, {\"state\": \"Hawaii\", \"id\": 15, \"State Farm policy premiums\": 133498, \"BERKSHIRE HATHAWAY GRP\": 184743, \"STATE TOTAL\": 722550}, {\"state\": \"Idaho\", \"id\": 16, \"State Farm policy premiums\": 130613, \"BERKSHIRE HATHAWAY GRP\": 87222, \"STATE TOTAL\": 863636}, {\"state\": \"Illinois\", \"id\": 17, \"State Farm policy premiums\": 2256543, \"BERKSHIRE HATHAWAY GRP\": 412978, \"STATE TOTAL\": 7028885}, {\"state\": \"Indiana\", \"id\": 18, \"State Farm policy premiums\": 861382, \"BERKSHIRE HATHAWAY GRP\": 201200, \"STATE TOTAL\": 3506499}, {\"state\": \"Iowa\", \"id\": 19, \"State Farm policy premiums\": 368898, \"BERKSHIRE HATHAWAY GRP\": 58105, \"STATE TOTAL\": 1650388}, {\"state\": \"Kansas\", \"id\": 20, \"State Farm policy premiums\": 351343, \"BERKSHIRE HATHAWAY GRP\": 76533, \"STATE TOTAL\": 1725608}, {\"state\": \"Kentucky\", \"id\": 21, \"State Farm policy premiums\": 680433, \"BERKSHIRE HATHAWAY GRP\": 186915, \"STATE TOTAL\": 2805864}, {\"state\": \"Louisiana\", \"id\": 22, \"State Farm policy premiums\": 1415980, \"BERKSHIRE HATHAWAY GRP\": 369492, \"STATE TOTAL\": 4136224}, {\"state\": \"Maine\", \"id\": 23, \"State Farm policy premiums\": 101111, \"BERKSHIRE HATHAWAY GRP\": 68109, \"STATE TOTAL\": 699558}, {\"state\": \"Maryland\", \"id\": 24, \"State Farm policy premiums\": 883401, \"BERKSHIRE HATHAWAY GRP\": 1059508, \"STATE TOTAL\": 4554586}, {\"state\": \"Massachusetts\", \"id\": 25, \"State Farm policy premiums\": 0, \"BERKSHIRE HATHAWAY GRP\": 473913, \"STATE TOTAL\": 4924736}, {\"state\": \"Michigan\", \"id\": 26, \"State Farm policy premiums\": 1580398, \"BERKSHIRE HATHAWAY GRP\": 0, \"STATE TOTAL\": 8462142}, {\"state\": \"Minnesota\", \"id\": 27, \"State Farm policy premiums\": 851940, \"BERKSHIRE HATHAWAY GRP\": 108942, \"STATE TOTAL\": 3412460}, {\"state\": \"Mississippi\", \"id\": 28, \"State Farm policy premiums\": 467887, \"BERKSHIRE HATHAWAY GRP\": 100827, \"STATE TOTAL\": 1760180}, {\"state\": \"Missouri\", \"id\": 29, \"State Farm policy premiums\": 883774, \"BERKSHIRE HATHAWAY GRP\": 214191, \"STATE TOTAL\": 3606590}, {\"state\": \"Montana\", \"id\": 30, \"State Farm policy premiums\": 156816, \"BERKSHIRE HATHAWAY GRP\": 33538, \"STATE TOTAL\": 668513}, {\"state\": \"Nebraska\", \"id\": 31, \"State Farm policy premiums\": 273727, \"BERKSHIRE HATHAWAY GRP\": 61046, \"STATE TOTAL\": 1167135}, {\"state\": \"Nevada\", \"id\": 32, \"State Farm policy premiums\": 404688, \"BERKSHIRE HATHAWAY GRP\": 262815, \"STATE TOTAL\": 2129828}, {\"state\": \"New Hampshire\", \"id\": 33, \"State Farm policy premiums\": 103340, \"BERKSHIRE HATHAWAY GRP\": 103403, \"STATE TOTAL\": 806545}, {\"state\": \"New Jersey\", \"id\": 34, \"State Farm policy premiums\": 619623, \"BERKSHIRE HATHAWAY GRP\": 1441019, \"STATE TOTAL\": 7375823}, {\"state\": \"New Mexico\", \"id\": 35, \"State Farm policy premiums\": 261922, \"BERKSHIRE HATHAWAY GRP\": 174865, \"STATE TOTAL\": 1284430}, {\"state\": \"New York\", \"id\": 36, \"State Farm policy premiums\": 1666653, \"BERKSHIRE HATHAWAY GRP\": 3926684, \"STATE TOTAL\": 12633982}, {\"state\": \"North Carolina\", \"id\": 37, \"State Farm policy premiums\": 842368, \"BERKSHIRE HATHAWAY GRP\": 560700, \"STATE TOTAL\": 5543700}, {\"state\": \"North Dakota\", \"id\": 38, \"State Farm policy premiums\": 67282, \"BERKSHIRE HATHAWAY GRP\": 15516, \"STATE TOTAL\": 454376}, {\"state\": \"Ohio\", \"id\": 39, \"State Farm policy premiums\": 1240075, \"BERKSHIRE HATHAWAY GRP\": 405652, \"STATE TOTAL\": 6303148}, {\"state\": \"Oklahoma\", \"id\": 40, \"State Farm policy premiums\": 636063, \"BERKSHIRE HATHAWAY GRP\": 151388, \"STATE TOTAL\": 2515842}, {\"state\": \"Oregon\", \"id\": 41, \"State Farm policy premiums\": 564416, \"BERKSHIRE HATHAWAY GRP\": 223187, \"STATE TOTAL\": 2647434}, {\"state\": \"Pennsylvania\", \"id\": 42, \"State Farm policy premiums\": 1654528, \"BERKSHIRE HATHAWAY GRP\": 602848, \"STATE TOTAL\": 8270326}, {\"state\": \"Rhode Island\", \"id\": 44, \"State Farm policy premiums\": 0, \"BERKSHIRE HATHAWAY GRP\": 97597, \"STATE TOTAL\": 867558}, {\"state\": \"South Carolina\", \"id\": 45, \"State Farm policy premiums\": 874436, \"BERKSHIRE HATHAWAY GRP\": 426033, \"STATE TOTAL\": 3583918}, {\"state\": \"South Dakota\", \"id\": 46, \"State Farm policy premiums\": 101912, \"BERKSHIRE HATHAWAY GRP\": 15682, \"STATE TOTAL\": 508569}, {\"state\": \"Tennessee\", \"id\": 47, \"State Farm policy premiums\": 889329, \"BERKSHIRE HATHAWAY GRP\": 292357, \"STATE TOTAL\": 3769652}, {\"state\": \"Texas\", \"id\": 48, \"State Farm policy premiums\": 3395165, \"BERKSHIRE HATHAWAY GRP\": 2127633, \"STATE TOTAL\": 19180816}, {\"state\": \"Utah\", \"id\": 49, \"State Farm policy premiums\": 300403, \"BERKSHIRE HATHAWAY GRP\": 139315, \"STATE TOTAL\": 1723931}, {\"state\": \"Vermont\", \"id\": 50, \"State Farm policy premiums\": 30003, \"BERKSHIRE HATHAWAY GRP\": 52939, \"STATE TOTAL\": 359996}, {\"state\": \"Virginia\", \"id\": 51, \"State Farm policy premiums\": 878312, \"BERKSHIRE HATHAWAY GRP\": 884489, \"STATE TOTAL\": 5105360}, {\"state\": \"Washington\", \"id\": 53, \"State Farm policy premiums\": 794882, \"BERKSHIRE HATHAWAY GRP\": 478922, \"STATE TOTAL\": 4780616}, {\"state\": \"West Virginia\", \"id\": 54, \"State Farm policy premiums\": 323608, \"BERKSHIRE HATHAWAY GRP\": 110806, \"STATE TOTAL\": 1209872}, {\"state\": \"Wisconsin\", \"id\": 55, \"State Farm policy premiums\": 443680, \"BERKSHIRE HATHAWAY GRP\": 131845, \"STATE TOTAL\": 2950711}, {\"state\": \"Wyoming\", \"id\": 56, \"State Farm policy premiums\": 90412, \"BERKSHIRE HATHAWAY GRP\": 30187, \"STATE TOTAL\": 374169}, {\"state\": \"Puerto Rico\", \"id\": 72, \"State Farm policy premiums\": 0, \"BERKSHIRE HATHAWAY GRP\": 0, \"STATE TOTAL\": 444480}]}};\n",
+              "    var embed_opt = {\"mode\": \"vega-lite\"};\n",
+              "\n",
+              "    function showError(el, error){\n",
+              "        el.innerHTML = ('<div class=\"error\">'\n",
+              "                        + '<p>JavaScript Error: ' + error.message + '</p>'\n",
+              "                        + \"<p>This usually means there's a typo in your chart specification. \"\n",
+              "                        + \"See the javascript console for the full traceback.</p>\"\n",
+              "                        + '</div>');\n",
+              "        throw error;\n",
+              "    }\n",
+              "    const el = document.getElementById('vis');\n",
+              "    vegaEmbed(\"#vis\", spec, embed_opt)\n",
+              "      .catch(error => showError(el, error));\n",
+              "  </script>\n",
+              "</body>\n",
+              "</html>\n"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 68
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "cvRa0s_RC579",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "misleading.plot4??"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "bzDJvLoFLfOW",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "def plot4():\n",
+        "    # Based on https://altair-viz.github.io/gallery/choropleth_repeat.html\n",
+        "    import altair as alt\n",
+        "    from vega_datasets import data\n",
+        "\n",
+        "    url = 'https://raw.githubusercontent.com/LambdaSchool/DS-Sprint-02-Storytelling-With-Data/master/module2-choose-appropriate-visualizations/direct_written_premium_by_state_by_group_private_passenger_auto.csv'\n",
+        "    df = pd.read_csv(url)\n",
+        "    df.rename(columns={'STATE FARM GRP': 'State Farm policy premiums'}, inplace=True)\n",
+        "    variable = 'State Farm policy premiums'\n",
+        "\n",
+        "    states = alt.topo_feature(data.us_10m.url, 'states')\n",
+        "\n",
+        "    return alt.Chart(states).mark_geoshape().encode(\n",
+        "        alt.Color(variable, type='quantitative')\n",
+        "    ).transform_lookup(\n",
+        "        lookup='id',\n",
+        "        from_=alt.LookupData(df, 'id', [variable])\n",
+        "    ).properties(\n",
+        "        width=500,\n",
+        "        height=300\n",
+        "    ).project(\n",
+        "        type='albersUsa'\n",
+        "    )"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "dCaz0MhtLon5",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "2772acd8-243a-4baa-a51b-76ea5edb11d7"
+      },
+      "cell_type": "code",
+      "source": [
+        "url = 'https://raw.githubusercontent.com/LambdaSchool/DS-Sprint-02-Storytelling-With-Data/master/module2-choose-appropriate-visualizations/direct_written_premium_by_state_by_group_private_passenger_auto.csv'\n",
+        "df = pd.read_csv(url)\n",
+        "df.rename(columns={'STATE FARM GRP': 'State Farm policy premiums'}, inplace=True)\n",
+        "variable = 'State Farm policy premiums'\n",
+        "    \n",
+        "df.head()"
+      ],
+      "execution_count": 71,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>state</th>\n",
+              "      <th>id</th>\n",
+              "      <th>State Farm policy premiums</th>\n",
+              "      <th>BERKSHIRE HATHAWAY GRP</th>\n",
+              "      <th>STATE TOTAL</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Alabama</td>\n",
+              "      <td>1</td>\n",
+              "      <td>768213</td>\n",
+              "      <td>282947</td>\n",
+              "      <td>3025561</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Alaska</td>\n",
+              "      <td>2</td>\n",
+              "      <td>128613</td>\n",
+              "      <td>81366</td>\n",
+              "      <td>454623</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Arizona</td>\n",
+              "      <td>4</td>\n",
+              "      <td>760003</td>\n",
+              "      <td>604049</td>\n",
+              "      <td>4373055</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Arkansas</td>\n",
+              "      <td>5</td>\n",
+              "      <td>454931</td>\n",
+              "      <td>96908</td>\n",
+              "      <td>1777917</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>California</td>\n",
+              "      <td>6</td>\n",
+              "      <td>3655463</td>\n",
+              "      <td>2091720</td>\n",
+              "      <td>25255501</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "        state  id  State Farm policy premiums  BERKSHIRE HATHAWAY GRP  \\\n",
+              "0     Alabama   1                      768213                  282947   \n",
+              "1      Alaska   2                      128613                   81366   \n",
+              "2     Arizona   4                      760003                  604049   \n",
+              "3    Arkansas   5                      454931                   96908   \n",
+              "4  California   6                     3655463                 2091720   \n",
+              "\n",
+              "   STATE TOTAL  \n",
+              "0      3025561  \n",
+              "1       454623  \n",
+              "2      4373055  \n",
+              "3      1777917  \n",
+              "4     25255501  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 71
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "iJcLHM2KL2Ey",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "f7df4b6b-e213-41b1-86c0-30a8abb0b592"
+      },
+      "cell_type": "code",
+      "source": [
+        "df['State Farm market share %'] = (df['State Farm policy premiums'] / df['STATE TOTAL'])\n",
+        "df.head()"
+      ],
+      "execution_count": 72,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>state</th>\n",
+              "      <th>id</th>\n",
+              "      <th>State Farm policy premiums</th>\n",
+              "      <th>BERKSHIRE HATHAWAY GRP</th>\n",
+              "      <th>STATE TOTAL</th>\n",
+              "      <th>State Farm market share %</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Alabama</td>\n",
+              "      <td>1</td>\n",
+              "      <td>768213</td>\n",
+              "      <td>282947</td>\n",
+              "      <td>3025561</td>\n",
+              "      <td>0.253908</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Alaska</td>\n",
+              "      <td>2</td>\n",
+              "      <td>128613</td>\n",
+              "      <td>81366</td>\n",
+              "      <td>454623</td>\n",
+              "      <td>0.282900</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Arizona</td>\n",
+              "      <td>4</td>\n",
+              "      <td>760003</td>\n",
+              "      <td>604049</td>\n",
+              "      <td>4373055</td>\n",
+              "      <td>0.173792</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Arkansas</td>\n",
+              "      <td>5</td>\n",
+              "      <td>454931</td>\n",
+              "      <td>96908</td>\n",
+              "      <td>1777917</td>\n",
+              "      <td>0.255879</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>California</td>\n",
+              "      <td>6</td>\n",
+              "      <td>3655463</td>\n",
+              "      <td>2091720</td>\n",
+              "      <td>25255501</td>\n",
+              "      <td>0.144739</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "        state  id  State Farm policy premiums  BERKSHIRE HATHAWAY GRP  \\\n",
+              "0     Alabama   1                      768213                  282947   \n",
+              "1      Alaska   2                      128613                   81366   \n",
+              "2     Arizona   4                      760003                  604049   \n",
+              "3    Arkansas   5                      454931                   96908   \n",
+              "4  California   6                     3655463                 2091720   \n",
+              "\n",
+              "   STATE TOTAL  State Farm market share %  \n",
+              "0      3025561                   0.253908  \n",
+              "1       454623                   0.282900  \n",
+              "2      4373055                   0.173792  \n",
+              "3      1777917                   0.255879  \n",
+              "4     25255501                   0.144739  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 72
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "_57pGdGOMrMN",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 232
+        },
+        "outputId": "3e9d5b34-31f9-4d16-c941-c73022e530c5"
+      },
+      "cell_type": "code",
+      "source": [
+        "variable = 'State Farm market share'\n",
+        "\n",
+        "states = alt.topo_feature(data.us_10m.url, 'states')\n",
+        "\n",
+        "alt.Chart(states).mark_geoshape().encode(\n",
+        "    alt.Color(variable, type='quantitative')\n",
+        ").transform_lookup(\n",
+        "    lookup='id',\n",
+        "    from_=alt.LookupData(df, 'id', [variable])\n",
+        ").properties(\n",
+        "    width=500,\n",
+        "    height=300\n",
+        ").project(\n",
+        "    type='albersUsa'\n",
+        ")"
+      ],
+      "execution_count": 73,
+      "outputs": [
+        {
+          "output_type": "error",
+          "ename": "NameError",
+          "evalue": "ignored",
+          "traceback": [
+            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+            "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+            "\u001b[0;32m<ipython-input-73-048ff977397b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mvariable\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'State Farm market share'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mstates\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0malt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtopo_feature\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mus_10m\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'states'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m alt.Chart(states).mark_geoshape().encode(\n",
+            "\u001b[0;31mNameError\u001b[0m: name 'data' is not defined"
+          ]
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "6RvCiUTkC58C",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Links\n",
+        "- [How to Spot Visualization Lies](https://flowingdata.com/2017/02/09/how-to-spot-visualization-lies/)\n",
+        "- [Where to Start and End Your Y-Axis Scale](http://stephanieevergreen.com/y-axis/)\n",
+        "- [xkcd heatmap](https://xkcd.com/1138/)\n",
+        "- [Surprise Maps: Showing the Unexpected](https://medium.com/@uwdata/surprise-maps-showing-the-unexpected-e92b67398865)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "v9FqFcBZC58D",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "# Use Seaborn to visualize distributions and relationships with continuous and discrete variables\n",
+        "\n",
+        "#### Links\n",
+        "- [Seaborn tutorial](https://seaborn.pydata.org/tutorial.html)\n",
+        "- [Seaborn example gallery](https://seaborn.pydata.org/examples/index.html)\n",
+        "- [Chart Chooser](https://extremepresentation.typepad.com/files/choosing-a-good-chart-09.pdf)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "DS9ZsHivC58F",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "## 1. Anscombe dataset"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "hj7EKNAvC58G",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Load dataset"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "iAz-_O_AC58I",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "df = sns.load_dataset('anscombe')"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "SA586juKC58N",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### See the data's shape"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ZHUUbsmIC58P",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "d2eff065-bc57-4369-f6ac-63872813e437"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.shape"
+      ],
+      "execution_count": 84,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(44, 3)"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 84
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "DStuLfVdC58Z",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### See the data"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "-7W1VEsoC58b",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "8d38c459-ce73-41a2-c8c3-507d80e99ee3"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.head()"
+      ],
+      "execution_count": 85,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>dataset</th>\n",
+              "      <th>x</th>\n",
+              "      <th>y</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>I</td>\n",
+              "      <td>10.0</td>\n",
+              "      <td>8.04</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>I</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>6.95</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>I</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>7.58</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>I</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>8.81</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>I</td>\n",
+              "      <td>11.0</td>\n",
+              "      <td>8.33</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "  dataset     x     y\n",
+              "0       I  10.0  8.04\n",
+              "1       I   8.0  6.95\n",
+              "2       I  13.0  7.58\n",
+              "3       I   9.0  8.81\n",
+              "4       I  11.0  8.33"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 85
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "cI71f587QX56",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 669
+        },
+        "outputId": "0d0d2473-7479-4701-c56f-f7dabcc5a8fa"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.head(20)\n",
+        "\n",
+        "# Really 4 datasets"
+      ],
+      "execution_count": 86,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>dataset</th>\n",
+              "      <th>x</th>\n",
+              "      <th>y</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>I</td>\n",
+              "      <td>10.0</td>\n",
+              "      <td>8.04</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>I</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>6.95</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>I</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>7.58</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>I</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>8.81</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>I</td>\n",
+              "      <td>11.0</td>\n",
+              "      <td>8.33</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>I</td>\n",
+              "      <td>14.0</td>\n",
+              "      <td>9.96</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6</th>\n",
+              "      <td>I</td>\n",
+              "      <td>6.0</td>\n",
+              "      <td>7.24</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7</th>\n",
+              "      <td>I</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.26</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8</th>\n",
+              "      <td>I</td>\n",
+              "      <td>12.0</td>\n",
+              "      <td>10.84</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>9</th>\n",
+              "      <td>I</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>4.82</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10</th>\n",
+              "      <td>I</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.68</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>11</th>\n",
+              "      <td>II</td>\n",
+              "      <td>10.0</td>\n",
+              "      <td>9.14</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>12</th>\n",
+              "      <td>II</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>8.14</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>13</th>\n",
+              "      <td>II</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>8.74</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14</th>\n",
+              "      <td>II</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>8.77</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>15</th>\n",
+              "      <td>II</td>\n",
+              "      <td>11.0</td>\n",
+              "      <td>9.26</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>16</th>\n",
+              "      <td>II</td>\n",
+              "      <td>14.0</td>\n",
+              "      <td>8.10</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>17</th>\n",
+              "      <td>II</td>\n",
+              "      <td>6.0</td>\n",
+              "      <td>6.13</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>18</th>\n",
+              "      <td>II</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>3.10</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19</th>\n",
+              "      <td>II</td>\n",
+              "      <td>12.0</td>\n",
+              "      <td>9.13</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   dataset     x      y\n",
+              "0        I  10.0   8.04\n",
+              "1        I   8.0   6.95\n",
+              "2        I  13.0   7.58\n",
+              "3        I   9.0   8.81\n",
+              "4        I  11.0   8.33\n",
+              "5        I  14.0   9.96\n",
+              "6        I   6.0   7.24\n",
+              "7        I   4.0   4.26\n",
+              "8        I  12.0  10.84\n",
+              "9        I   7.0   4.82\n",
+              "10       I   5.0   5.68\n",
+              "11      II  10.0   9.14\n",
+              "12      II   8.0   8.14\n",
+              "13      II  13.0   8.74\n",
+              "14      II   9.0   8.77\n",
+              "15      II  11.0   9.26\n",
+              "16      II  14.0   8.10\n",
+              "17      II   6.0   6.13\n",
+              "18      II   4.0   3.10\n",
+              "19      II  12.0   9.13"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 86
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "RiUc2LbdC58d",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### [Group by](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.groupby.html) `'dataset'`"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "tnf6p97MC58e",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "groups = df.groupby('dataset')"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "OSYt3FTOC58h",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### [Describe](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.describe.html) the groups"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "vGytWLoKC58i",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 235
+        },
+        "outputId": "12c48e05-bcbe-4ed6-e782-601b3b97185a"
+      },
+      "cell_type": "code",
+      "source": [
+        "groups.describe()"
+      ],
+      "execution_count": 88,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead tr th {\n",
+              "        text-align: left;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead tr:last-of-type th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr>\n",
+              "      <th></th>\n",
+              "      <th colspan=\"8\" halign=\"left\">x</th>\n",
+              "      <th colspan=\"8\" halign=\"left\">y</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th></th>\n",
+              "      <th>count</th>\n",
+              "      <th>mean</th>\n",
+              "      <th>std</th>\n",
+              "      <th>min</th>\n",
+              "      <th>25%</th>\n",
+              "      <th>50%</th>\n",
+              "      <th>75%</th>\n",
+              "      <th>max</th>\n",
+              "      <th>count</th>\n",
+              "      <th>mean</th>\n",
+              "      <th>std</th>\n",
+              "      <th>min</th>\n",
+              "      <th>25%</th>\n",
+              "      <th>50%</th>\n",
+              "      <th>75%</th>\n",
+              "      <th>max</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>dataset</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>I</th>\n",
+              "      <td>11.0</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>3.316625</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>11.5</td>\n",
+              "      <td>14.0</td>\n",
+              "      <td>11.0</td>\n",
+              "      <td>7.500909</td>\n",
+              "      <td>2.031568</td>\n",
+              "      <td>4.26</td>\n",
+              "      <td>6.315</td>\n",
+              "      <td>7.58</td>\n",
+              "      <td>8.57</td>\n",
+              "      <td>10.84</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>II</th>\n",
+              "      <td>11.0</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>3.316625</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>11.5</td>\n",
+              "      <td>14.0</td>\n",
+              "      <td>11.0</td>\n",
+              "      <td>7.500909</td>\n",
+              "      <td>2.031657</td>\n",
+              "      <td>3.10</td>\n",
+              "      <td>6.695</td>\n",
+              "      <td>8.14</td>\n",
+              "      <td>8.95</td>\n",
+              "      <td>9.26</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>III</th>\n",
+              "      <td>11.0</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>3.316625</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>11.5</td>\n",
+              "      <td>14.0</td>\n",
+              "      <td>11.0</td>\n",
+              "      <td>7.500000</td>\n",
+              "      <td>2.030424</td>\n",
+              "      <td>5.39</td>\n",
+              "      <td>6.250</td>\n",
+              "      <td>7.11</td>\n",
+              "      <td>7.98</td>\n",
+              "      <td>12.74</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>IV</th>\n",
+              "      <td>11.0</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>3.316625</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>19.0</td>\n",
+              "      <td>11.0</td>\n",
+              "      <td>7.500909</td>\n",
+              "      <td>2.030579</td>\n",
+              "      <td>5.25</td>\n",
+              "      <td>6.170</td>\n",
+              "      <td>7.04</td>\n",
+              "      <td>8.19</td>\n",
+              "      <td>12.50</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "            x                                               y            \\\n",
+              "        count mean       std  min  25%  50%   75%   max count      mean   \n",
+              "dataset                                                                   \n",
+              "I        11.0  9.0  3.316625  4.0  6.5  9.0  11.5  14.0  11.0  7.500909   \n",
+              "II       11.0  9.0  3.316625  4.0  6.5  9.0  11.5  14.0  11.0  7.500909   \n",
+              "III      11.0  9.0  3.316625  4.0  6.5  9.0  11.5  14.0  11.0  7.500000   \n",
+              "IV       11.0  9.0  3.316625  8.0  8.0  8.0   8.0  19.0  11.0  7.500909   \n",
+              "\n",
+              "                                                   \n",
+              "              std   min    25%   50%   75%    max  \n",
+              "dataset                                            \n",
+              "I        2.031568  4.26  6.315  7.58  8.57  10.84  \n",
+              "II       2.031657  3.10  6.695  8.14  8.95   9.26  \n",
+              "III      2.030424  5.39  6.250  7.11  7.98  12.74  \n",
+              "IV       2.030579  5.25  6.170  7.04  8.19  12.50  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 88
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "tEUnWTibC58q",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Get the [count](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.count.html), for each column in each group"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "FDKfw6mcC58r",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "79489055-661c-416b-dfc7-100efb7720bd"
+      },
+      "cell_type": "code",
+      "source": [
+        "groups.count()\n"
+      ],
+      "execution_count": 93,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>x</th>\n",
+              "      <th>y</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>dataset</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>I</th>\n",
+              "      <td>11</td>\n",
+              "      <td>11</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>II</th>\n",
+              "      <td>11</td>\n",
+              "      <td>11</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>III</th>\n",
+              "      <td>11</td>\n",
+              "      <td>11</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>IV</th>\n",
+              "      <td>11</td>\n",
+              "      <td>11</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "          x   y\n",
+              "dataset        \n",
+              "I        11  11\n",
+              "II       11  11\n",
+              "III      11  11\n",
+              "IV       11  11"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 93
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "E9CBzxHSC58t",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Get the [mean](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.mean.html) ..."
+      ]
+    },
+    {
+      "metadata": {
+        "id": "4A3hVylUC58u",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "30a01742-59c4-4239-db42-ae1ba364b559"
+      },
+      "cell_type": "code",
+      "source": [
+        "groups.mean()"
+      ],
+      "execution_count": 94,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>x</th>\n",
+              "      <th>y</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>dataset</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>I</th>\n",
+              "      <td>9.0</td>\n",
+              "      <td>7.500909</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>II</th>\n",
+              "      <td>9.0</td>\n",
+              "      <td>7.500909</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>III</th>\n",
+              "      <td>9.0</td>\n",
+              "      <td>7.500000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>IV</th>\n",
+              "      <td>9.0</td>\n",
+              "      <td>7.500909</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "           x         y\n",
+              "dataset               \n",
+              "I        9.0  7.500909\n",
+              "II       9.0  7.500909\n",
+              "III      9.0  7.500000\n",
+              "IV       9.0  7.500909"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 94
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "hp4fqrTrC58w",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Get the [standard deviation](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.std.html) ..."
+      ]
+    },
+    {
+      "metadata": {
+        "id": "tDpviM-HC58x",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "b1d1d464-e208-4a43-f6a4-2cfdbaa131db"
+      },
+      "cell_type": "code",
+      "source": [
+        "groups.std()"
+      ],
+      "execution_count": 96,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>x</th>\n",
+              "      <th>y</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>dataset</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>I</th>\n",
+              "      <td>3.316625</td>\n",
+              "      <td>2.031568</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>II</th>\n",
+              "      <td>3.316625</td>\n",
+              "      <td>2.031657</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>III</th>\n",
+              "      <td>3.316625</td>\n",
+              "      <td>2.030424</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>IV</th>\n",
+              "      <td>3.316625</td>\n",
+              "      <td>2.030579</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                x         y\n",
+              "dataset                    \n",
+              "I        3.316625  2.031568\n",
+              "II       3.316625  2.031657\n",
+              "III      3.316625  2.030424\n",
+              "IV       3.316625  2.030579"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 96
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "N3n9F-SgC582",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Get the [correlation](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.corr.html) ..."
+      ]
+    },
+    {
+      "metadata": {
+        "id": "2ztIu9-WC583",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 328
+        },
+        "outputId": "2ccda87a-1196-4f0a-c5d5-8efe8357c5d5"
+      },
+      "cell_type": "code",
+      "source": [
+        "groups.corr()"
+      ],
+      "execution_count": 97,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th>x</th>\n",
+              "      <th>y</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>dataset</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">I</th>\n",
+              "      <th>x</th>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>0.816421</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>y</th>\n",
+              "      <td>0.816421</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">II</th>\n",
+              "      <th>x</th>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>0.816237</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>y</th>\n",
+              "      <td>0.816237</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">III</th>\n",
+              "      <th>x</th>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>0.816287</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>y</th>\n",
+              "      <td>0.816287</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"2\" valign=\"top\">IV</th>\n",
+              "      <th>x</th>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>0.816521</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>y</th>\n",
+              "      <td>0.816521</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                  x         y\n",
+              "dataset                      \n",
+              "I       x  1.000000  0.816421\n",
+              "        y  0.816421  1.000000\n",
+              "II      x  1.000000  0.816237\n",
+              "        y  0.816237  1.000000\n",
+              "III     x  1.000000  0.816287\n",
+              "        y  0.816287  1.000000\n",
+              "IV      x  1.000000  0.816521\n",
+              "        y  0.816521  1.000000"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 97
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "l3OHBrYzC587",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Use pandas to [plot](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.plot.html) the groups, as scatter plots"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "qrGiAv5mC589",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1081
+        },
+        "outputId": "2151c5d7-f8cb-4839-c7df-4d6a4c402cc3"
+      },
+      "cell_type": "code",
+      "source": [
+        "groups.plot(x=\"x\", y=\"y\", kind=\"scatter\");\n"
+      ],
+      "execution_count": 102,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb6a7908>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb629940>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb5f9b70>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb561048>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "YAy6w2r-C59B",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Use Seaborn to make [relational plots](http://seaborn.pydata.org/generated/seaborn.relplot.html)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "CUU1X1F6C59C",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 389
+        },
+        "outputId": "ad1e2e2b-63e5-48ca-a84a-edbbb733333d"
+      },
+      "cell_type": "code",
+      "source": [
+        "import seaborn as sns\n",
+        "\n",
+        "sns.relplot(x=\"x\", y=\"y\", col='dataset', data=df);"
+      ],
+      "execution_count": 105,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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AU8srMwAAAGC6KZgBmGrDV2YAAAAA08eKDAAAAAAAGlEwAwAAAADQiIIZAAAA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\nAAAAgEYUzAAAAAAANKJgBgAAAACgkf8fy66ySXI24fUAAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb715588>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "T9lMG4Y0Xwo9",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 729
+        },
+        "outputId": "406850b4-7a50-43f6-f111-662ac5675b11"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.relplot(x=\"x\", y=\"y\", col='dataset', col_wrap=2, data=df);"
+      ],
+      "execution_count": 106,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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rY5AP7JsbuDIA2D1M0oMxMjNTOXJoPvfeftQqFgAwEAEZxszMTOXg/A1DlwEAu5YhFgAA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\ngg==\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb23b4e0>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ejON9GTnX33F",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 729
+        },
+        "outputId": "47a95dce-d91f-44e9-dae9-279824ac6fb3"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.relplot(x=\"x\", y=\"y\", col='dataset', hue='dataset', col_wrap=2, data=df);"
+      ],
+      "execution_count": 107,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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JSTK8Mpljggf4VwAA3XDnzckXL5ooEknyky8lV7wvGdvZbi6a2bIu+b9vTN5+RvLeX0t+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\nAAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb12eda0>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "o7MmoU_fC59F",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Use Seaborn to make [linear model plots](http://seaborn.pydata.org/generated/seaborn.lmplot.html)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "CJGMdKHGC59I",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 729
+        },
+        "outputId": "96ea8624-1417-49f9-b2e6-77a20b906967"
+      },
+      "cell_type": "code",
+      "source": [
+        "# Linear Model plot just change the 'rel' to 'lm'\n",
+        "\n",
+        "sns.lmplot(x=\"x\", y=\"y\", col='dataset', hue='dataset', col_wrap=2, data=df);"
+      ],
+      "execution_count": 109,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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p8WtP5n8v/GG46jZYfRc0zq3s/kpAAVlkhktnsvTU0ajoTNby4uEetu7o5EhPvk5wdfss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\ni4iIiIiU+f8QK4ii++wZcwAAAABJRU5ErkJggg==\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb468cc0>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ZHVi9_H7C59L",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "#### Links\n",
+        "- [Seaborn examples: Anscombe's quartet](http://seaborn.pydata.org/examples/anscombes_quartet.html)\n",
+        "- [Wikipedia: Anscombe's quartet](https://en.wikipedia.org/wiki/Anscombe%27s_quartet)\n",
+        "- [The Datasaurus Dozen](https://www.autodeskresearch.com/publications/samestats)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "cvz3v-9lC59L",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "## 2. Tips dataset"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "sV33rAMKC59N",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Load dataset"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "7LF7iZocC59Q",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "tips = sns.load_dataset('tips')"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "59-HJFP6C59U",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### See the data's shape"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "muj3fDkJC59V",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "caa7566f-19db-4709-eaf6-211109551eaf"
+      },
+      "cell_type": "code",
+      "source": [
+        "tips.shape"
+      ],
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(244, 7)"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 3
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Ak0Vq60hC59a",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### See the first 5 rows"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "JbmgZZW1C59b",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "a173ef9c-88b2-4708-dca6-1b231984dd40"
+      },
+      "cell_type": "code",
+      "source": [
+        "tips.head()"
+      ],
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>total_bill</th>\n",
+              "      <th>tip</th>\n",
+              "      <th>sex</th>\n",
+              "      <th>smoker</th>\n",
+              "      <th>day</th>\n",
+              "      <th>time</th>\n",
+              "      <th>size</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>16.99</td>\n",
+              "      <td>1.01</td>\n",
+              "      <td>Female</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Sun</td>\n",
+              "      <td>Dinner</td>\n",
+              "      <td>2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>10.34</td>\n",
+              "      <td>1.66</td>\n",
+              "      <td>Male</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Sun</td>\n",
+              "      <td>Dinner</td>\n",
+              "      <td>3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>21.01</td>\n",
+              "      <td>3.50</td>\n",
+              "      <td>Male</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Sun</td>\n",
+              "      <td>Dinner</td>\n",
+              "      <td>3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>23.68</td>\n",
+              "      <td>3.31</td>\n",
+              "      <td>Male</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Sun</td>\n",
+              "      <td>Dinner</td>\n",
+              "      <td>2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>24.59</td>\n",
+              "      <td>3.61</td>\n",
+              "      <td>Female</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Sun</td>\n",
+              "      <td>Dinner</td>\n",
+              "      <td>4</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   total_bill   tip     sex smoker  day    time  size\n",
+              "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
+              "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
+              "2       21.01  3.50    Male     No  Sun  Dinner     3\n",
+              "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
+              "4       24.59  3.61  Female     No  Sun  Dinner     4"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 4
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "8_yw3Uw-ayzz",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "e1ee6e2f-d227-4e4c-baa8-f0c09f4e86d4"
+      },
+      "cell_type": "code",
+      "source": [
+        "# To see a random sample\n",
+        "\n",
+        "tips.sample(5)"
+      ],
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>total_bill</th>\n",
+              "      <th>tip</th>\n",
+              "      <th>sex</th>\n",
+              "      <th>smoker</th>\n",
+              "      <th>day</th>\n",
+              "      <th>time</th>\n",
+              "      <th>size</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>165</th>\n",
+              "      <td>24.52</td>\n",
+              "      <td>3.48</td>\n",
+              "      <td>Male</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Sun</td>\n",
+              "      <td>Dinner</td>\n",
+              "      <td>3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>105</th>\n",
+              "      <td>15.36</td>\n",
+              "      <td>1.64</td>\n",
+              "      <td>Male</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Sat</td>\n",
+              "      <td>Dinner</td>\n",
+              "      <td>2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>127</th>\n",
+              "      <td>14.52</td>\n",
+              "      <td>2.00</td>\n",
+              "      <td>Female</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Thur</td>\n",
+              "      <td>Lunch</td>\n",
+              "      <td>2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>172</th>\n",
+              "      <td>7.25</td>\n",
+              "      <td>5.15</td>\n",
+              "      <td>Male</td>\n",
+              "      <td>Yes</td>\n",
+              "      <td>Sun</td>\n",
+              "      <td>Dinner</td>\n",
+              "      <td>2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>129</th>\n",
+              "      <td>22.82</td>\n",
+              "      <td>2.18</td>\n",
+              "      <td>Male</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Thur</td>\n",
+              "      <td>Lunch</td>\n",
+              "      <td>3</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "     total_bill   tip     sex smoker   day    time  size\n",
+              "165       24.52  3.48    Male     No   Sun  Dinner     3\n",
+              "105       15.36  1.64    Male    Yes   Sat  Dinner     2\n",
+              "127       14.52  2.00  Female     No  Thur   Lunch     2\n",
+              "172        7.25  5.15    Male    Yes   Sun  Dinner     2\n",
+              "129       22.82  2.18    Male     No  Thur   Lunch     3"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 5
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "DBeBf9hvC59h",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Describe the data"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "vwBPLP3KC59k",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 297
+        },
+        "outputId": "db965734-2124-4840-8329-e6dfdd42930a"
+      },
+      "cell_type": "code",
+      "source": [
+        "tips.describe()"
+      ],
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>total_bill</th>\n",
+              "      <th>tip</th>\n",
+              "      <th>size</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>244.000000</td>\n",
+              "      <td>244.000000</td>\n",
+              "      <td>244.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>19.785943</td>\n",
+              "      <td>2.998279</td>\n",
+              "      <td>2.569672</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>8.902412</td>\n",
+              "      <td>1.383638</td>\n",
+              "      <td>0.951100</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>3.070000</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>13.347500</td>\n",
+              "      <td>2.000000</td>\n",
+              "      <td>2.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>17.795000</td>\n",
+              "      <td>2.900000</td>\n",
+              "      <td>2.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>24.127500</td>\n",
+              "      <td>3.562500</td>\n",
+              "      <td>3.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>50.810000</td>\n",
+              "      <td>10.000000</td>\n",
+              "      <td>6.000000</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "       total_bill         tip        size\n",
+              "count  244.000000  244.000000  244.000000\n",
+              "mean    19.785943    2.998279    2.569672\n",
+              "std      8.902412    1.383638    0.951100\n",
+              "min      3.070000    1.000000    1.000000\n",
+              "25%     13.347500    2.000000    2.000000\n",
+              "50%     17.795000    2.900000    2.000000\n",
+              "75%     24.127500    3.562500    3.000000\n",
+              "max     50.810000   10.000000    6.000000"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 6
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "vFaJjndsa6_a",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 390
+        },
+        "outputId": "657abcf5-1397-4aaa-84bf-3da15e38d465"
+      },
+      "cell_type": "code",
+      "source": [
+        "# To include categoricals in tips in the describe() function\n",
+        "\n",
+        "tips.describe(include='all')"
+      ],
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>total_bill</th>\n",
+              "      <th>tip</th>\n",
+              "      <th>sex</th>\n",
+              "      <th>smoker</th>\n",
+              "      <th>day</th>\n",
+              "      <th>time</th>\n",
+              "      <th>size</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>244.000000</td>\n",
+              "      <td>244.000000</td>\n",
+              "      <td>244</td>\n",
+              "      <td>244</td>\n",
+              "      <td>244</td>\n",
+              "      <td>244</td>\n",
+              "      <td>244.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>unique</th>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>top</th>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Male</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Sat</td>\n",
+              "      <td>Dinner</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>freq</th>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>157</td>\n",
+              "      <td>151</td>\n",
+              "      <td>87</td>\n",
+              "      <td>176</td>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>19.785943</td>\n",
+              "      <td>2.998279</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>2.569672</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>8.902412</td>\n",
+              "      <td>1.383638</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>0.951100</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>3.070000</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>1.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>13.347500</td>\n",
+              "      <td>2.000000</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>2.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>17.795000</td>\n",
+              "      <td>2.900000</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>2.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>24.127500</td>\n",
+              "      <td>3.562500</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>3.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>50.810000</td>\n",
+              "      <td>10.000000</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>6.000000</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "        total_bill         tip   sex smoker  day    time        size\n",
+              "count   244.000000  244.000000   244    244  244     244  244.000000\n",
+              "unique         NaN         NaN     2      2    4       2         NaN\n",
+              "top            NaN         NaN  Male     No  Sat  Dinner         NaN\n",
+              "freq           NaN         NaN   157    151   87     176         NaN\n",
+              "mean     19.785943    2.998279   NaN    NaN  NaN     NaN    2.569672\n",
+              "std       8.902412    1.383638   NaN    NaN  NaN     NaN    0.951100\n",
+              "min       3.070000    1.000000   NaN    NaN  NaN     NaN    1.000000\n",
+              "25%      13.347500    2.000000   NaN    NaN  NaN     NaN    2.000000\n",
+              "50%      17.795000    2.900000   NaN    NaN  NaN     NaN    2.000000\n",
+              "75%      24.127500    3.562500   NaN    NaN  NaN     NaN    3.000000\n",
+              "max      50.810000   10.000000   NaN    NaN  NaN     NaN    6.000000"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 7
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "O-yZHwGwbQbo",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 173
+        },
+        "outputId": "de7a1c75-a8ec-4090-d84c-18cb2ea9ef5b"
+      },
+      "cell_type": "code",
+      "source": [
+        "tips.describe(exclude=[np.number])"
+      ],
+      "execution_count": 10,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>sex</th>\n",
+              "      <th>smoker</th>\n",
+              "      <th>day</th>\n",
+              "      <th>time</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>244</td>\n",
+              "      <td>244</td>\n",
+              "      <td>244</td>\n",
+              "      <td>244</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>unique</th>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>top</th>\n",
+              "      <td>Male</td>\n",
+              "      <td>No</td>\n",
+              "      <td>Sat</td>\n",
+              "      <td>Dinner</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>freq</th>\n",
+              "      <td>157</td>\n",
+              "      <td>151</td>\n",
+              "      <td>87</td>\n",
+              "      <td>176</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "         sex smoker  day    time\n",
+              "count    244    244  244     244\n",
+              "unique     2      2    4       2\n",
+              "top     Male     No  Sat  Dinner\n",
+              "freq     157    151   87     176"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 10
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "uzNl9pJpC59n",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Make univariate [distribution plots](https://seaborn.pydata.org/generated/seaborn.distplot.html)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "mx0rHdi3C59o",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 283
+        },
+        "outputId": "3582ce85-fd24-4ad9-af32-fb02e05b7c92"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.distplot(tips.tip);"
+      ],
+      "execution_count": 121,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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lbmZ3Al8FgsDXnXNfuODxVOA7wCagHXivc+50fKNeuvGI4z8PtfIPTx/h2Nk+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\nXUTEh1TuIiI+9P8AyBBshPmmH7UAAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb5087b8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "6ob2r2Rhb6IS",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 301
+        },
+        "outputId": "e0026a88-c1cd-410a-c148-75d38e36fbd2"
+      },
+      "cell_type": "code",
+      "source": [
+        "# Distribution plot of the 'total_bill' column\n",
+        "sns.distplot(tips.total_bill)"
+      ],
+      "execution_count": 123,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f63eb00aa90>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 123
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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UDPv8vHykmY8um2NTNaPEk9vrp/ycjSuL6ewb5qtP7aV/aMTW6jHTEkxPfx1Q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\nJmpDAAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb4e2f28>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "w2b0OEXlcj5Q",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "tips['percent'] = tips.tip/tips.total_bill"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "6eegS-Yycqbc",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 300
+        },
+        "outputId": "4e1e1060-8d14-443a-950e-5b5e53a24537"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.distplot(tips['percent'])"
+      ],
+      "execution_count": 16,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7faad0579eb8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 16
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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oDR0DXOga4FhLH88dbWX8KlNuzRL99MwDt8/7KIHNdWlTM/socLdz7jPJrz8J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\nTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7faad05e6908>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "zhcRdHJAC59r",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Make bivariate [relational plots](https://seaborn.pydata.org/generated/seaborn.relplot.html)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "K-rVqjgvC59z",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 369
+        },
+        "outputId": "09fdb71e-4f3d-460b-e6ab-6432c9e82bb7"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.relplot('tip', 'total_bill', data=tips, alpha=0.5);    # alpha controls transparency so we can make out overlapping points"
+      ],
+      "execution_count": 17,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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9weJQQazpE0MFS68ryVrOFugKuPn8Q0e2PQm53iVdMkEmRG0a3SW5H/gs8KpS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\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7faad038cc88>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "0vqSKM_Sw486",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        ""
+      ]
+    },
+    {
+      "metadata": {
+        "id": "WofHz9K4dZZx",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 369
+        },
+        "outputId": "3039cd7a-60a7-4f43-d740-687dff8f7f0a"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.relplot('total_bill', 'percent', data=tips, alpha=0.5);"
+      ],
+      "execution_count": 18,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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/foyR6XhhpMKDg+2FjsH8qmady6xadri/hfM3w4VZcyZrSGUN/qJt4adjSV66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\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7faad02d8898>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "GlllcyK_djbx",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 369
+        },
+        "outputId": "83f727e6-0912-4f93-dbc6-9ab26fb304eb"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.lmplot('total_bill', 'percent', data=tips);"
+      ],
+      "execution_count": 21,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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OD3Hng0+TKZZIxWw2dSbLE1tz5fhWps05weSfLbC1p42i6zEyXcQYg21Z7Oxr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\nZIoux0YyVQtYZvvehGMfv//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M+QBr4NoARKRdRDrD/wM/ATxHRK9NXQkXERH5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\nejLd4z/8AAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7faad0283f98>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "pvn4McxHC591",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Make univariate [categorical plots](https://seaborn.pydata.org/generated/seaborn.catplot.html)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "F8TcHOoBC593",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 68
+        },
+        "outputId": "35d0bcc4-1e82-4c26-ea11-f92566eb3672"
+      },
+      "cell_type": "code",
+      "source": [
+        "tips.sex.value_counts()"
+      ],
+      "execution_count": 131,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Male      157\n",
+              "Female     87\n",
+              "Name: sex, dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 131
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "jB_v1votd_JF",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 295
+        },
+        "outputId": "613eaf0f-be75-48e6-d2b9-7b0dd66fd7d5"
+      },
+      "cell_type": "code",
+      "source": [
+        "tips.sex.value_counts().plot.bar();"
+      ],
+      "execution_count": 133,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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dxrxIQo8KVbV5h6EHxxJknhrbTc005zYm+X1gQZKVwNuB/xxzJglgc5KXApXkscA7gJvH\nnGle8Yi+HW8Dng3cD1wE/AR451gTSQNvBU5lcPvyrcALumXtI94CQZIa59TNfi7JF9nNXHxVvX4f\nxpF+KcnH2f1v8+37MM68ZtHv/z4y7gDSLkyNO4AGnLqRpMZ5RN+I7kybvwFWAY97eLyqnj62UBKQ\nZAJ4L4/8bR47tlDzjGfdtOPTwDnAduAVwAXAP401kTRwIYPTKVcAHwB+wOApdNpHnLppRJJrquq3\nk9xQVc+dOTbubJrfZvw2r6+q53Vj36mqF40723zh1E077k/yGOC27jGOW4EnjDmTBPCL7vWuJCcA\n/wMcOsY8845H9I1I8iIG/zxeBPw18CTgQ1V19ViDad5L8jrg34FlwMeBJwIfqCpvurePWPSS1Din\nbvZzs92K2AumNG5JVjC4RcdyZnSOv819x6Lf/70E2Mzg/jYbgIw3jvQIXwDOBb4IPDTmLPOSUzf7\nuSQLgFcCJwPPA74EXFRVG8caTOok2VBVLx53jvnMom9IkgMZFP6HGfyx6xNjjiTR3T57JfA1BndX\nBaCqrh1bqHnGqZsGdAV/AoOSXw58DPj8ODNJMzwXeBNwLL+auqluWfuAR/T7uSQXAM8BvgxcXFU3\njjmS9GuSbAJWVdUD484yX1n0+7kkDwE/6xZn/scMUFX1xH2fSvqVJF8A1lbVtnFnma+cutnPVZX3\nK9Kj3SLgliTf4dfn6D29ch+x6CWN2hnjDjDfOXUjaeSSPA1YWVVfT3IwsKCqfjruXPOF/+yXNFJJ\n/gS4FPiHbmgJg4uotI9Y9JJG7VTgGOAnAFV1G/CUsSaaZyx6SaN2/8xTK5MsZDcPDdfcs+gljdq3\nkrwPOCjJK4F/ZnDfG+0j/jFW0kh1D8Q5BXgVg+s7vgp8qiyffcailzQSSY6oqjvHnUNO3UganV+e\nWZPks+MMMt9Z9JJGZeazEZ4+thSy6CWNTO3ivfYx5+gljUSSBxnccC/AQcDPH16FN9zbpyx6SWqc\nUzeS1DiLXpIaZ9FLUuMseklq3P8DVSQa6xNJ5bMAAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb484550>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "5cILWItueFXt",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 369
+        },
+        "outputId": "3567bf4e-54c9-44f0-a2cb-16a0d4150140"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.catplot('sex', data=tips, kind='count');"
+      ],
+      "execution_count": 134,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb8843c8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "aG1ltIl9C598",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Make bivariate [categorical plots](https://seaborn.pydata.org/generated/seaborn.catplot.html)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Fwbp-Vs1C599",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 369
+        },
+        "outputId": "c53013b8-8003-4bcb-d9d0-bdb3c822f75e"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.catplot('sex', 'tip', data=tips, kind='box');"
+      ],
+      "execution_count": 135,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63ec117eb8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "cTrxnRKAee99",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 369
+        },
+        "outputId": "dd80fa3c-8f6f-43cd-81cb-bddaced27824"
+      },
+      "cell_type": "code",
+      "source": [
+        "# Categorical scatterplot\n",
+        "\n",
+        "sns.catplot('sex', 'tip', data=tips, kind='strip', alpha=0.5);"
+      ],
+      "execution_count": 136,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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AFzVV0Ha914z9Xvecy+bematm0k5bZkv7uayJwcPr/lY2E+kBl6ntjSEmEyYv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\nWJKaGGBJamKAJanJL5FdJctfXoCZAAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb1a4278>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "vBocomS-erYT",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 369
+        },
+        "outputId": "612bf86b-ebf3-4596-ce28-b8ac516a7753"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.catplot('sex', 'tip', data=tips, kind='swarm', alpha=0.5);"
+      ],
+      "execution_count": 137,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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Svs9dD/5GfW3sHZh8V/eM63sGGrfr8pSjb+mz8N2PQfthiA7rGXgho2fhvU/q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\nAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb422d68>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "wRPViwIce6it",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 369
+        },
+        "outputId": "26c4dd09-6fde-4db1-c63f-ee5eff2cce36"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.catplot('sex', 'tip', data=tips, kind='bar');"
+      ],
+      "execution_count": 138,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb1d2550>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "-DbBXDbyfnx8",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 369
+        },
+        "outputId": "5a0e8622-81a7-483a-fb3d-9c4fbb99e563"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.catplot('sex', 'percent', data=tips, kind='bar');"
+      ],
+      "execution_count": 139,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63eb1a4f28>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "GZ0L7CEtC5-C",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "## 3. Flights"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "hL7sxhx2C5-E",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Load dataset"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "daKMCyq1C5-E",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "flights = sns.load_dataset('flights')"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "PCTHliUUC5-H",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### See the data's shape"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "QCCdZEZuC5-J",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "eaeafe9a-5f7d-43d4-80f9-35ff34730258"
+      },
+      "cell_type": "code",
+      "source": [
+        "flights.shape"
+      ],
+      "execution_count": 216,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(144, 3)"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 216
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "y06eXTaxC5-N",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### See the first 5 rows"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "LorThuORC5-O",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "47d3f08e-e064-432c-835c-a20619e2e16c"
+      },
+      "cell_type": "code",
+      "source": [
+        "flights.head()"
+      ],
+      "execution_count": 217,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>month</th>\n",
+              "      <th>passengers</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>January</td>\n",
+              "      <td>112</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>February</td>\n",
+              "      <td>118</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>March</td>\n",
+              "      <td>132</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>April</td>\n",
+              "      <td>129</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>May</td>\n",
+              "      <td>121</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   year     month  passengers\n",
+              "0  1949   January         112\n",
+              "1  1949  February         118\n",
+              "2  1949     March         132\n",
+              "3  1949     April         129\n",
+              "4  1949       May         121"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 217
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "k-kq0jWMxNoH",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 824
+        },
+        "outputId": "f5b02f22-f51b-44dd-8d05-fd7a8ec07830"
+      },
+      "cell_type": "code",
+      "source": [
+        "flights.head(25)"
+      ],
+      "execution_count": 218,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>month</th>\n",
+              "      <th>passengers</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>January</td>\n",
+              "      <td>112</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>February</td>\n",
+              "      <td>118</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>March</td>\n",
+              "      <td>132</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>April</td>\n",
+              "      <td>129</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>May</td>\n",
+              "      <td>121</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>June</td>\n",
+              "      <td>135</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>July</td>\n",
+              "      <td>148</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>August</td>\n",
+              "      <td>148</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>September</td>\n",
+              "      <td>136</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>9</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>October</td>\n",
+              "      <td>119</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>November</td>\n",
+              "      <td>104</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>11</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>December</td>\n",
+              "      <td>118</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>12</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>January</td>\n",
+              "      <td>115</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>13</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>February</td>\n",
+              "      <td>126</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>March</td>\n",
+              "      <td>141</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>15</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>April</td>\n",
+              "      <td>135</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>16</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>May</td>\n",
+              "      <td>125</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>17</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>June</td>\n",
+              "      <td>149</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>18</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>July</td>\n",
+              "      <td>170</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>August</td>\n",
+              "      <td>170</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>20</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>September</td>\n",
+              "      <td>158</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>21</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>October</td>\n",
+              "      <td>133</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>22</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>November</td>\n",
+              "      <td>114</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>23</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>December</td>\n",
+              "      <td>140</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>24</th>\n",
+              "      <td>1951</td>\n",
+              "      <td>January</td>\n",
+              "      <td>145</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "    year      month  passengers\n",
+              "0   1949    January         112\n",
+              "1   1949   February         118\n",
+              "2   1949      March         132\n",
+              "3   1949      April         129\n",
+              "4   1949        May         121\n",
+              "5   1949       June         135\n",
+              "6   1949       July         148\n",
+              "7   1949     August         148\n",
+              "8   1949  September         136\n",
+              "9   1949    October         119\n",
+              "10  1949   November         104\n",
+              "11  1949   December         118\n",
+              "12  1950    January         115\n",
+              "13  1950   February         126\n",
+              "14  1950      March         141\n",
+              "15  1950      April         135\n",
+              "16  1950        May         125\n",
+              "17  1950       June         149\n",
+              "18  1950       July         170\n",
+              "19  1950     August         170\n",
+              "20  1950  September         158\n",
+              "21  1950    October         133\n",
+              "22  1950   November         114\n",
+              "23  1950   December         140\n",
+              "24  1951    January         145"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 218
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "OYYXv3uOxTA0",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 51
+        },
+        "outputId": "89495b58-a503-42fc-eee6-f8316264f9e9"
+      },
+      "cell_type": "code",
+      "source": [
+        "flights.year.unique()"
+      ],
+      "execution_count": 219,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "array([1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959,\n",
+              "       1960])"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 219
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "zs7w52lk_GIJ",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 452
+        },
+        "outputId": "59ddc9a7-f0d1-4426-b27c-9c1fa5ad0bd3"
+      },
+      "cell_type": "code",
+      "source": [
+        "flights.pivot(\"year\", \"month\", \"passengers\")    # Month over month Numbers"
+      ],
+      "execution_count": 221,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th>month</th>\n",
+              "      <th>January</th>\n",
+              "      <th>February</th>\n",
+              "      <th>March</th>\n",
+              "      <th>April</th>\n",
+              "      <th>May</th>\n",
+              "      <th>June</th>\n",
+              "      <th>July</th>\n",
+              "      <th>August</th>\n",
+              "      <th>September</th>\n",
+              "      <th>October</th>\n",
+              "      <th>November</th>\n",
+              "      <th>December</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>year</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>1949</th>\n",
+              "      <td>112</td>\n",
+              "      <td>118</td>\n",
+              "      <td>132</td>\n",
+              "      <td>129</td>\n",
+              "      <td>121</td>\n",
+              "      <td>135</td>\n",
+              "      <td>148</td>\n",
+              "      <td>148</td>\n",
+              "      <td>136</td>\n",
+              "      <td>119</td>\n",
+              "      <td>104</td>\n",
+              "      <td>118</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1950</th>\n",
+              "      <td>115</td>\n",
+              "      <td>126</td>\n",
+              "      <td>141</td>\n",
+              "      <td>135</td>\n",
+              "      <td>125</td>\n",
+              "      <td>149</td>\n",
+              "      <td>170</td>\n",
+              "      <td>170</td>\n",
+              "      <td>158</td>\n",
+              "      <td>133</td>\n",
+              "      <td>114</td>\n",
+              "      <td>140</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1951</th>\n",
+              "      <td>145</td>\n",
+              "      <td>150</td>\n",
+              "      <td>178</td>\n",
+              "      <td>163</td>\n",
+              "      <td>172</td>\n",
+              "      <td>178</td>\n",
+              "      <td>199</td>\n",
+              "      <td>199</td>\n",
+              "      <td>184</td>\n",
+              "      <td>162</td>\n",
+              "      <td>146</td>\n",
+              "      <td>166</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1952</th>\n",
+              "      <td>171</td>\n",
+              "      <td>180</td>\n",
+              "      <td>193</td>\n",
+              "      <td>181</td>\n",
+              "      <td>183</td>\n",
+              "      <td>218</td>\n",
+              "      <td>230</td>\n",
+              "      <td>242</td>\n",
+              "      <td>209</td>\n",
+              "      <td>191</td>\n",
+              "      <td>172</td>\n",
+              "      <td>194</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1953</th>\n",
+              "      <td>196</td>\n",
+              "      <td>196</td>\n",
+              "      <td>236</td>\n",
+              "      <td>235</td>\n",
+              "      <td>229</td>\n",
+              "      <td>243</td>\n",
+              "      <td>264</td>\n",
+              "      <td>272</td>\n",
+              "      <td>237</td>\n",
+              "      <td>211</td>\n",
+              "      <td>180</td>\n",
+              "      <td>201</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1954</th>\n",
+              "      <td>204</td>\n",
+              "      <td>188</td>\n",
+              "      <td>235</td>\n",
+              "      <td>227</td>\n",
+              "      <td>234</td>\n",
+              "      <td>264</td>\n",
+              "      <td>302</td>\n",
+              "      <td>293</td>\n",
+              "      <td>259</td>\n",
+              "      <td>229</td>\n",
+              "      <td>203</td>\n",
+              "      <td>229</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1955</th>\n",
+              "      <td>242</td>\n",
+              "      <td>233</td>\n",
+              "      <td>267</td>\n",
+              "      <td>269</td>\n",
+              "      <td>270</td>\n",
+              "      <td>315</td>\n",
+              "      <td>364</td>\n",
+              "      <td>347</td>\n",
+              "      <td>312</td>\n",
+              "      <td>274</td>\n",
+              "      <td>237</td>\n",
+              "      <td>278</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1956</th>\n",
+              "      <td>284</td>\n",
+              "      <td>277</td>\n",
+              "      <td>317</td>\n",
+              "      <td>313</td>\n",
+              "      <td>318</td>\n",
+              "      <td>374</td>\n",
+              "      <td>413</td>\n",
+              "      <td>405</td>\n",
+              "      <td>355</td>\n",
+              "      <td>306</td>\n",
+              "      <td>271</td>\n",
+              "      <td>306</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1957</th>\n",
+              "      <td>315</td>\n",
+              "      <td>301</td>\n",
+              "      <td>356</td>\n",
+              "      <td>348</td>\n",
+              "      <td>355</td>\n",
+              "      <td>422</td>\n",
+              "      <td>465</td>\n",
+              "      <td>467</td>\n",
+              "      <td>404</td>\n",
+              "      <td>347</td>\n",
+              "      <td>305</td>\n",
+              "      <td>336</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1958</th>\n",
+              "      <td>340</td>\n",
+              "      <td>318</td>\n",
+              "      <td>362</td>\n",
+              "      <td>348</td>\n",
+              "      <td>363</td>\n",
+              "      <td>435</td>\n",
+              "      <td>491</td>\n",
+              "      <td>505</td>\n",
+              "      <td>404</td>\n",
+              "      <td>359</td>\n",
+              "      <td>310</td>\n",
+              "      <td>337</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1959</th>\n",
+              "      <td>360</td>\n",
+              "      <td>342</td>\n",
+              "      <td>406</td>\n",
+              "      <td>396</td>\n",
+              "      <td>420</td>\n",
+              "      <td>472</td>\n",
+              "      <td>548</td>\n",
+              "      <td>559</td>\n",
+              "      <td>463</td>\n",
+              "      <td>407</td>\n",
+              "      <td>362</td>\n",
+              "      <td>405</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1960</th>\n",
+              "      <td>417</td>\n",
+              "      <td>391</td>\n",
+              "      <td>419</td>\n",
+              "      <td>461</td>\n",
+              "      <td>472</td>\n",
+              "      <td>535</td>\n",
+              "      <td>622</td>\n",
+              "      <td>606</td>\n",
+              "      <td>508</td>\n",
+              "      <td>461</td>\n",
+              "      <td>390</td>\n",
+              "      <td>432</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "month  January  February  March  April  May  June  July  August  September  \\\n",
+              "year                                                                         \n",
+              "1949       112       118    132    129  121   135   148     148        136   \n",
+              "1950       115       126    141    135  125   149   170     170        158   \n",
+              "1951       145       150    178    163  172   178   199     199        184   \n",
+              "1952       171       180    193    181  183   218   230     242        209   \n",
+              "1953       196       196    236    235  229   243   264     272        237   \n",
+              "1954       204       188    235    227  234   264   302     293        259   \n",
+              "1955       242       233    267    269  270   315   364     347        312   \n",
+              "1956       284       277    317    313  318   374   413     405        355   \n",
+              "1957       315       301    356    348  355   422   465     467        404   \n",
+              "1958       340       318    362    348  363   435   491     505        404   \n",
+              "1959       360       342    406    396  420   472   548     559        463   \n",
+              "1960       417       391    419    461  472   535   622     606        508   \n",
+              "\n",
+              "month  October  November  December  \n",
+              "year                                \n",
+              "1949       119       104       118  \n",
+              "1950       133       114       140  \n",
+              "1951       162       146       166  \n",
+              "1952       191       172       194  \n",
+              "1953       211       180       201  \n",
+              "1954       229       203       229  \n",
+              "1955       274       237       278  \n",
+              "1956       306       271       306  \n",
+              "1957       347       305       336  \n",
+              "1958       359       310       337  \n",
+              "1959       407       362       405  \n",
+              "1960       461       390       432  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 221
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "dO5npNGr_VbG",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 452
+        },
+        "outputId": "ac8ecfdf-fec6-4367-9e15-5072740d81fc"
+      },
+      "cell_type": "code",
+      "source": [
+        "flights.pivot(\"month\", \"year\", \"passengers\")    # Year over Year Numbers"
+      ],
+      "execution_count": 222,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th>year</th>\n",
+              "      <th>1949</th>\n",
+              "      <th>1950</th>\n",
+              "      <th>1951</th>\n",
+              "      <th>1952</th>\n",
+              "      <th>1953</th>\n",
+              "      <th>1954</th>\n",
+              "      <th>1955</th>\n",
+              "      <th>1956</th>\n",
+              "      <th>1957</th>\n",
+              "      <th>1958</th>\n",
+              "      <th>1959</th>\n",
+              "      <th>1960</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>month</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>January</th>\n",
+              "      <td>112</td>\n",
+              "      <td>115</td>\n",
+              "      <td>145</td>\n",
+              "      <td>171</td>\n",
+              "      <td>196</td>\n",
+              "      <td>204</td>\n",
+              "      <td>242</td>\n",
+              "      <td>284</td>\n",
+              "      <td>315</td>\n",
+              "      <td>340</td>\n",
+              "      <td>360</td>\n",
+              "      <td>417</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>February</th>\n",
+              "      <td>118</td>\n",
+              "      <td>126</td>\n",
+              "      <td>150</td>\n",
+              "      <td>180</td>\n",
+              "      <td>196</td>\n",
+              "      <td>188</td>\n",
+              "      <td>233</td>\n",
+              "      <td>277</td>\n",
+              "      <td>301</td>\n",
+              "      <td>318</td>\n",
+              "      <td>342</td>\n",
+              "      <td>391</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>March</th>\n",
+              "      <td>132</td>\n",
+              "      <td>141</td>\n",
+              "      <td>178</td>\n",
+              "      <td>193</td>\n",
+              "      <td>236</td>\n",
+              "      <td>235</td>\n",
+              "      <td>267</td>\n",
+              "      <td>317</td>\n",
+              "      <td>356</td>\n",
+              "      <td>362</td>\n",
+              "      <td>406</td>\n",
+              "      <td>419</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>April</th>\n",
+              "      <td>129</td>\n",
+              "      <td>135</td>\n",
+              "      <td>163</td>\n",
+              "      <td>181</td>\n",
+              "      <td>235</td>\n",
+              "      <td>227</td>\n",
+              "      <td>269</td>\n",
+              "      <td>313</td>\n",
+              "      <td>348</td>\n",
+              "      <td>348</td>\n",
+              "      <td>396</td>\n",
+              "      <td>461</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>May</th>\n",
+              "      <td>121</td>\n",
+              "      <td>125</td>\n",
+              "      <td>172</td>\n",
+              "      <td>183</td>\n",
+              "      <td>229</td>\n",
+              "      <td>234</td>\n",
+              "      <td>270</td>\n",
+              "      <td>318</td>\n",
+              "      <td>355</td>\n",
+              "      <td>363</td>\n",
+              "      <td>420</td>\n",
+              "      <td>472</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>June</th>\n",
+              "      <td>135</td>\n",
+              "      <td>149</td>\n",
+              "      <td>178</td>\n",
+              "      <td>218</td>\n",
+              "      <td>243</td>\n",
+              "      <td>264</td>\n",
+              "      <td>315</td>\n",
+              "      <td>374</td>\n",
+              "      <td>422</td>\n",
+              "      <td>435</td>\n",
+              "      <td>472</td>\n",
+              "      <td>535</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>July</th>\n",
+              "      <td>148</td>\n",
+              "      <td>170</td>\n",
+              "      <td>199</td>\n",
+              "      <td>230</td>\n",
+              "      <td>264</td>\n",
+              "      <td>302</td>\n",
+              "      <td>364</td>\n",
+              "      <td>413</td>\n",
+              "      <td>465</td>\n",
+              "      <td>491</td>\n",
+              "      <td>548</td>\n",
+              "      <td>622</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>August</th>\n",
+              "      <td>148</td>\n",
+              "      <td>170</td>\n",
+              "      <td>199</td>\n",
+              "      <td>242</td>\n",
+              "      <td>272</td>\n",
+              "      <td>293</td>\n",
+              "      <td>347</td>\n",
+              "      <td>405</td>\n",
+              "      <td>467</td>\n",
+              "      <td>505</td>\n",
+              "      <td>559</td>\n",
+              "      <td>606</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>September</th>\n",
+              "      <td>136</td>\n",
+              "      <td>158</td>\n",
+              "      <td>184</td>\n",
+              "      <td>209</td>\n",
+              "      <td>237</td>\n",
+              "      <td>259</td>\n",
+              "      <td>312</td>\n",
+              "      <td>355</td>\n",
+              "      <td>404</td>\n",
+              "      <td>404</td>\n",
+              "      <td>463</td>\n",
+              "      <td>508</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>October</th>\n",
+              "      <td>119</td>\n",
+              "      <td>133</td>\n",
+              "      <td>162</td>\n",
+              "      <td>191</td>\n",
+              "      <td>211</td>\n",
+              "      <td>229</td>\n",
+              "      <td>274</td>\n",
+              "      <td>306</td>\n",
+              "      <td>347</td>\n",
+              "      <td>359</td>\n",
+              "      <td>407</td>\n",
+              "      <td>461</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>November</th>\n",
+              "      <td>104</td>\n",
+              "      <td>114</td>\n",
+              "      <td>146</td>\n",
+              "      <td>172</td>\n",
+              "      <td>180</td>\n",
+              "      <td>203</td>\n",
+              "      <td>237</td>\n",
+              "      <td>271</td>\n",
+              "      <td>305</td>\n",
+              "      <td>310</td>\n",
+              "      <td>362</td>\n",
+              "      <td>390</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>December</th>\n",
+              "      <td>118</td>\n",
+              "      <td>140</td>\n",
+              "      <td>166</td>\n",
+              "      <td>194</td>\n",
+              "      <td>201</td>\n",
+              "      <td>229</td>\n",
+              "      <td>278</td>\n",
+              "      <td>306</td>\n",
+              "      <td>336</td>\n",
+              "      <td>337</td>\n",
+              "      <td>405</td>\n",
+              "      <td>432</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "year       1949  1950  1951  1952  1953  1954  1955  1956  1957  1958  1959  \\\n",
+              "month                                                                         \n",
+              "January     112   115   145   171   196   204   242   284   315   340   360   \n",
+              "February    118   126   150   180   196   188   233   277   301   318   342   \n",
+              "March       132   141   178   193   236   235   267   317   356   362   406   \n",
+              "April       129   135   163   181   235   227   269   313   348   348   396   \n",
+              "May         121   125   172   183   229   234   270   318   355   363   420   \n",
+              "June        135   149   178   218   243   264   315   374   422   435   472   \n",
+              "July        148   170   199   230   264   302   364   413   465   491   548   \n",
+              "August      148   170   199   242   272   293   347   405   467   505   559   \n",
+              "September   136   158   184   209   237   259   312   355   404   404   463   \n",
+              "October     119   133   162   191   211   229   274   306   347   359   407   \n",
+              "November    104   114   146   172   180   203   237   271   305   310   362   \n",
+              "December    118   140   166   194   201   229   278   306   336   337   405   \n",
+              "\n",
+              "year       1960  \n",
+              "month            \n",
+              "January     417  \n",
+              "February    391  \n",
+              "March       419  \n",
+              "April       461  \n",
+              "May         472  \n",
+              "June        535  \n",
+              "July        622  \n",
+              "August      606  \n",
+              "September   508  \n",
+              "October     461  \n",
+              "November    390  \n",
+              "December    432  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 222
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "m2EbNofUC5-T",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Describe the data"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "9vbVDOHiC5-T",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 297
+        },
+        "outputId": "afed7a67-67e8-4e45-a64f-d9a4f3503dcc"
+      },
+      "cell_type": "code",
+      "source": [
+        "flights.describe()"
+      ],
+      "execution_count": 202,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>passengers</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>144.000000</td>\n",
+              "      <td>144.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>1954.500000</td>\n",
+              "      <td>280.298611</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>3.464102</td>\n",
+              "      <td>119.966317</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>1949.000000</td>\n",
+              "      <td>104.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>1951.750000</td>\n",
+              "      <td>180.000000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>1954.500000</td>\n",
+              "      <td>265.500000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>1957.250000</td>\n",
+              "      <td>360.500000</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>1960.000000</td>\n",
+              "      <td>622.000000</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "              year  passengers\n",
+              "count   144.000000  144.000000\n",
+              "mean   1954.500000  280.298611\n",
+              "std       3.464102  119.966317\n",
+              "min    1949.000000  104.000000\n",
+              "25%    1951.750000  180.000000\n",
+              "50%    1954.500000  265.500000\n",
+              "75%    1957.250000  360.500000\n",
+              "max    1960.000000  622.000000"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 202
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "6sxO77fxyG53",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 483
+        },
+        "outputId": "4904607c-0cdf-478b-f8e6-027b68151a90"
+      },
+      "cell_type": "code",
+      "source": [
+        "flight_groups_year = flights.groupby('year')\n",
+        "flight_groups_year.describe()"
+      ],
+      "execution_count": 203,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead tr th {\n",
+              "        text-align: left;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead tr:last-of-type th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr>\n",
+              "      <th></th>\n",
+              "      <th colspan=\"8\" halign=\"left\">passengers</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th></th>\n",
+              "      <th>count</th>\n",
+              "      <th>mean</th>\n",
+              "      <th>std</th>\n",
+              "      <th>min</th>\n",
+              "      <th>25%</th>\n",
+              "      <th>50%</th>\n",
+              "      <th>75%</th>\n",
+              "      <th>max</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>year</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>1949</th>\n",
+              "      <td>12.0</td>\n",
+              "      <td>126.666667</td>\n",
+              "      <td>13.720147</td>\n",
+              "      <td>104.0</td>\n",
+              "      <td>118.00</td>\n",
+              "      <td>125.0</td>\n",
+              "      <td>135.25</td>\n",
+              "      <td>148.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1950</th>\n",
+              "      <td>12.0</td>\n",
+              "      <td>139.666667</td>\n",
+              "      <td>19.070841</td>\n",
+              "      <td>114.0</td>\n",
+              "      <td>125.75</td>\n",
+              "      <td>137.5</td>\n",
+              "      <td>151.25</td>\n",
+              "      <td>170.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1951</th>\n",
+              "      <td>12.0</td>\n",
+              "      <td>170.166667</td>\n",
+              "      <td>18.438267</td>\n",
+              "      <td>145.0</td>\n",
+              "      <td>159.00</td>\n",
+              "      <td>169.0</td>\n",
+              "      <td>179.50</td>\n",
+              "      <td>199.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1952</th>\n",
+              "      <td>12.0</td>\n",
+              "      <td>197.000000</td>\n",
+              "      <td>22.966379</td>\n",
+              "      <td>171.0</td>\n",
+              "      <td>180.75</td>\n",
+              "      <td>192.0</td>\n",
+              "      <td>211.25</td>\n",
+              "      <td>242.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1953</th>\n",
+              "      <td>12.0</td>\n",
+              "      <td>225.000000</td>\n",
+              "      <td>28.466887</td>\n",
+              "      <td>180.0</td>\n",
+              "      <td>199.75</td>\n",
+              "      <td>232.0</td>\n",
+              "      <td>238.50</td>\n",
+              "      <td>272.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1954</th>\n",
+              "      <td>12.0</td>\n",
+              "      <td>238.916667</td>\n",
+              "      <td>34.924486</td>\n",
+              "      <td>188.0</td>\n",
+              "      <td>221.25</td>\n",
+              "      <td>231.5</td>\n",
+              "      <td>260.25</td>\n",
+              "      <td>302.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1955</th>\n",
+              "      <td>12.0</td>\n",
+              "      <td>284.000000</td>\n",
+              "      <td>42.140458</td>\n",
+              "      <td>233.0</td>\n",
+              "      <td>260.75</td>\n",
+              "      <td>272.0</td>\n",
+              "      <td>312.75</td>\n",
+              "      <td>364.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1956</th>\n",
+              "      <td>12.0</td>\n",
+              "      <td>328.250000</td>\n",
+              "      <td>47.861780</td>\n",
+              "      <td>271.0</td>\n",
+              "      <td>300.50</td>\n",
+              "      <td>315.0</td>\n",
+              "      <td>359.75</td>\n",
+              "      <td>413.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1957</th>\n",
+              "      <td>12.0</td>\n",
+              "      <td>368.416667</td>\n",
+              "      <td>57.890898</td>\n",
+              "      <td>301.0</td>\n",
+              "      <td>330.75</td>\n",
+              "      <td>351.5</td>\n",
+              "      <td>408.50</td>\n",
+              "      <td>467.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1958</th>\n",
+              "      <td>12.0</td>\n",
+              "      <td>381.000000</td>\n",
+              "      <td>64.530472</td>\n",
+              "      <td>310.0</td>\n",
+              "      <td>339.25</td>\n",
+              "      <td>360.5</td>\n",
+              "      <td>411.75</td>\n",
+              "      <td>505.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1959</th>\n",
+              "      <td>12.0</td>\n",
+              "      <td>428.333333</td>\n",
+              "      <td>69.830097</td>\n",
+              "      <td>342.0</td>\n",
+              "      <td>387.50</td>\n",
+              "      <td>406.5</td>\n",
+              "      <td>465.25</td>\n",
+              "      <td>559.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1960</th>\n",
+              "      <td>12.0</td>\n",
+              "      <td>476.166667</td>\n",
+              "      <td>77.737125</td>\n",
+              "      <td>390.0</td>\n",
+              "      <td>418.50</td>\n",
+              "      <td>461.0</td>\n",
+              "      <td>514.75</td>\n",
+              "      <td>622.0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "     passengers                                                            \n",
+              "          count        mean        std    min     25%    50%     75%    max\n",
+              "year                                                                       \n",
+              "1949       12.0  126.666667  13.720147  104.0  118.00  125.0  135.25  148.0\n",
+              "1950       12.0  139.666667  19.070841  114.0  125.75  137.5  151.25  170.0\n",
+              "1951       12.0  170.166667  18.438267  145.0  159.00  169.0  179.50  199.0\n",
+              "1952       12.0  197.000000  22.966379  171.0  180.75  192.0  211.25  242.0\n",
+              "1953       12.0  225.000000  28.466887  180.0  199.75  232.0  238.50  272.0\n",
+              "1954       12.0  238.916667  34.924486  188.0  221.25  231.5  260.25  302.0\n",
+              "1955       12.0  284.000000  42.140458  233.0  260.75  272.0  312.75  364.0\n",
+              "1956       12.0  328.250000  47.861780  271.0  300.50  315.0  359.75  413.0\n",
+              "1957       12.0  368.416667  57.890898  301.0  330.75  351.5  408.50  467.0\n",
+              "1958       12.0  381.000000  64.530472  310.0  339.25  360.5  411.75  505.0\n",
+              "1959       12.0  428.333333  69.830097  342.0  387.50  406.5  465.25  559.0\n",
+              "1960       12.0  476.166667  77.737125  390.0  418.50  461.0  514.75  622.0"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 203
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "5vT07oT7zJCJ",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1909
+        },
+        "outputId": "d6022cf8-899c-41d1-99ed-5dd01b21a694"
+      },
+      "cell_type": "code",
+      "source": [
+        "flight_groups_year.head()"
+      ],
+      "execution_count": 204,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>month</th>\n",
+              "      <th>passengers</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>January</td>\n",
+              "      <td>112</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>February</td>\n",
+              "      <td>118</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>March</td>\n",
+              "      <td>132</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>April</td>\n",
+              "      <td>129</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>1949</td>\n",
+              "      <td>May</td>\n",
+              "      <td>121</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>12</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>January</td>\n",
+              "      <td>115</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>13</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>February</td>\n",
+              "      <td>126</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>March</td>\n",
+              "      <td>141</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>15</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>April</td>\n",
+              "      <td>135</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>16</th>\n",
+              "      <td>1950</td>\n",
+              "      <td>May</td>\n",
+              "      <td>125</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>24</th>\n",
+              "      <td>1951</td>\n",
+              "      <td>January</td>\n",
+              "      <td>145</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25</th>\n",
+              "      <td>1951</td>\n",
+              "      <td>February</td>\n",
+              "      <td>150</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>26</th>\n",
+              "      <td>1951</td>\n",
+              "      <td>March</td>\n",
+              "      <td>178</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>27</th>\n",
+              "      <td>1951</td>\n",
+              "      <td>April</td>\n",
+              "      <td>163</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>28</th>\n",
+              "      <td>1951</td>\n",
+              "      <td>May</td>\n",
+              "      <td>172</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>36</th>\n",
+              "      <td>1952</td>\n",
+              "      <td>January</td>\n",
+              "      <td>171</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>37</th>\n",
+              "      <td>1952</td>\n",
+              "      <td>February</td>\n",
+              "      <td>180</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>38</th>\n",
+              "      <td>1952</td>\n",
+              "      <td>March</td>\n",
+              "      <td>193</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>39</th>\n",
+              "      <td>1952</td>\n",
+              "      <td>April</td>\n",
+              "      <td>181</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>40</th>\n",
+              "      <td>1952</td>\n",
+              "      <td>May</td>\n",
+              "      <td>183</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>48</th>\n",
+              "      <td>1953</td>\n",
+              "      <td>January</td>\n",
+              "      <td>196</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>49</th>\n",
+              "      <td>1953</td>\n",
+              "      <td>February</td>\n",
+              "      <td>196</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50</th>\n",
+              "      <td>1953</td>\n",
+              "      <td>March</td>\n",
+              "      <td>236</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>51</th>\n",
+              "      <td>1953</td>\n",
+              "      <td>April</td>\n",
+              "      <td>235</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>52</th>\n",
+              "      <td>1953</td>\n",
+              "      <td>May</td>\n",
+              "      <td>229</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>60</th>\n",
+              "      <td>1954</td>\n",
+              "      <td>January</td>\n",
+              "      <td>204</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>61</th>\n",
+              "      <td>1954</td>\n",
+              "      <td>February</td>\n",
+              "      <td>188</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>62</th>\n",
+              "      <td>1954</td>\n",
+              "      <td>March</td>\n",
+              "      <td>235</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>63</th>\n",
+              "      <td>1954</td>\n",
+              "      <td>April</td>\n",
+              "      <td>227</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>64</th>\n",
+              "      <td>1954</td>\n",
+              "      <td>May</td>\n",
+              "      <td>234</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>72</th>\n",
+              "      <td>1955</td>\n",
+              "      <td>January</td>\n",
+              "      <td>242</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>73</th>\n",
+              "      <td>1955</td>\n",
+              "      <td>February</td>\n",
+              "      <td>233</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>74</th>\n",
+              "      <td>1955</td>\n",
+              "      <td>March</td>\n",
+              "      <td>267</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75</th>\n",
+              "      <td>1955</td>\n",
+              "      <td>April</td>\n",
+              "      <td>269</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>76</th>\n",
+              "      <td>1955</td>\n",
+              "      <td>May</td>\n",
+              "      <td>270</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>84</th>\n",
+              "      <td>1956</td>\n",
+              "      <td>January</td>\n",
+              "      <td>284</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>85</th>\n",
+              "      <td>1956</td>\n",
+              "      <td>February</td>\n",
+              "      <td>277</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>86</th>\n",
+              "      <td>1956</td>\n",
+              "      <td>March</td>\n",
+              "      <td>317</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>87</th>\n",
+              "      <td>1956</td>\n",
+              "      <td>April</td>\n",
+              "      <td>313</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>88</th>\n",
+              "      <td>1956</td>\n",
+              "      <td>May</td>\n",
+              "      <td>318</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>96</th>\n",
+              "      <td>1957</td>\n",
+              "      <td>January</td>\n",
+              "      <td>315</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>97</th>\n",
+              "      <td>1957</td>\n",
+              "      <td>February</td>\n",
+              "      <td>301</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>98</th>\n",
+              "      <td>1957</td>\n",
+              "      <td>March</td>\n",
+              "      <td>356</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>99</th>\n",
+              "      <td>1957</td>\n",
+              "      <td>April</td>\n",
+              "      <td>348</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>100</th>\n",
+              "      <td>1957</td>\n",
+              "      <td>May</td>\n",
+              "      <td>355</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>108</th>\n",
+              "      <td>1958</td>\n",
+              "      <td>January</td>\n",
+              "      <td>340</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>109</th>\n",
+              "      <td>1958</td>\n",
+              "      <td>February</td>\n",
+              "      <td>318</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>110</th>\n",
+              "      <td>1958</td>\n",
+              "      <td>March</td>\n",
+              "      <td>362</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>111</th>\n",
+              "      <td>1958</td>\n",
+              "      <td>April</td>\n",
+              "      <td>348</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>112</th>\n",
+              "      <td>1958</td>\n",
+              "      <td>May</td>\n",
+              "      <td>363</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>120</th>\n",
+              "      <td>1959</td>\n",
+              "      <td>January</td>\n",
+              "      <td>360</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>121</th>\n",
+              "      <td>1959</td>\n",
+              "      <td>February</td>\n",
+              "      <td>342</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>122</th>\n",
+              "      <td>1959</td>\n",
+              "      <td>March</td>\n",
+              "      <td>406</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>123</th>\n",
+              "      <td>1959</td>\n",
+              "      <td>April</td>\n",
+              "      <td>396</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>124</th>\n",
+              "      <td>1959</td>\n",
+              "      <td>May</td>\n",
+              "      <td>420</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>132</th>\n",
+              "      <td>1960</td>\n",
+              "      <td>January</td>\n",
+              "      <td>417</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>133</th>\n",
+              "      <td>1960</td>\n",
+              "      <td>February</td>\n",
+              "      <td>391</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>134</th>\n",
+              "      <td>1960</td>\n",
+              "      <td>March</td>\n",
+              "      <td>419</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>135</th>\n",
+              "      <td>1960</td>\n",
+              "      <td>April</td>\n",
+              "      <td>461</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>136</th>\n",
+              "      <td>1960</td>\n",
+              "      <td>May</td>\n",
+              "      <td>472</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "     year     month  passengers\n",
+              "0    1949   January         112\n",
+              "1    1949  February         118\n",
+              "2    1949     March         132\n",
+              "3    1949     April         129\n",
+              "4    1949       May         121\n",
+              "12   1950   January         115\n",
+              "13   1950  February         126\n",
+              "14   1950     March         141\n",
+              "15   1950     April         135\n",
+              "16   1950       May         125\n",
+              "24   1951   January         145\n",
+              "25   1951  February         150\n",
+              "26   1951     March         178\n",
+              "27   1951     April         163\n",
+              "28   1951       May         172\n",
+              "36   1952   January         171\n",
+              "37   1952  February         180\n",
+              "38   1952     March         193\n",
+              "39   1952     April         181\n",
+              "40   1952       May         183\n",
+              "48   1953   January         196\n",
+              "49   1953  February         196\n",
+              "50   1953     March         236\n",
+              "51   1953     April         235\n",
+              "52   1953       May         229\n",
+              "60   1954   January         204\n",
+              "61   1954  February         188\n",
+              "62   1954     March         235\n",
+              "63   1954     April         227\n",
+              "64   1954       May         234\n",
+              "72   1955   January         242\n",
+              "73   1955  February         233\n",
+              "74   1955     March         267\n",
+              "75   1955     April         269\n",
+              "76   1955       May         270\n",
+              "84   1956   January         284\n",
+              "85   1956  February         277\n",
+              "86   1956     March         317\n",
+              "87   1956     April         313\n",
+              "88   1956       May         318\n",
+              "96   1957   January         315\n",
+              "97   1957  February         301\n",
+              "98   1957     March         356\n",
+              "99   1957     April         348\n",
+              "100  1957       May         355\n",
+              "108  1958   January         340\n",
+              "109  1958  February         318\n",
+              "110  1958     March         362\n",
+              "111  1958     April         348\n",
+              "112  1958       May         363\n",
+              "120  1959   January         360\n",
+              "121  1959  February         342\n",
+              "122  1959     March         406\n",
+              "123  1959     April         396\n",
+              "124  1959       May         420\n",
+              "132  1960   January         417\n",
+              "133  1960  February         391\n",
+              "134  1960     March         419\n",
+              "135  1960     April         461\n",
+              "136  1960       May         472"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 204
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "MH509nyWynKf",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 2031
+        },
+        "outputId": "3f58585b-bcf9-4fb6-fbe4-37da9ca2c6ae"
+      },
+      "cell_type": "code",
+      "source": [
+        "flight_groups_year_month = flights.groupby(['year', 'month'])\n",
+        "flight_groups_year_month.describe()"
+      ],
+      "execution_count": 205,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead tr th {\n",
+              "        text-align: left;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead tr:last-of-type th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th colspan=\"8\" halign=\"left\">passengers</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th>count</th>\n",
+              "      <th>mean</th>\n",
+              "      <th>std</th>\n",
+              "      <th>min</th>\n",
+              "      <th>25%</th>\n",
+              "      <th>50%</th>\n",
+              "      <th>75%</th>\n",
+              "      <th>max</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>year</th>\n",
+              "      <th>month</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"12\" valign=\"top\">1949</th>\n",
+              "      <th>January</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>112.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>112.0</td>\n",
+              "      <td>112.0</td>\n",
+              "      <td>112.0</td>\n",
+              "      <td>112.0</td>\n",
+              "      <td>112.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>February</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>118.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>118.0</td>\n",
+              "      <td>118.0</td>\n",
+              "      <td>118.0</td>\n",
+              "      <td>118.0</td>\n",
+              "      <td>118.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>March</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>132.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>132.0</td>\n",
+              "      <td>132.0</td>\n",
+              "      <td>132.0</td>\n",
+              "      <td>132.0</td>\n",
+              "      <td>132.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>April</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>129.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>129.0</td>\n",
+              "      <td>129.0</td>\n",
+              "      <td>129.0</td>\n",
+              "      <td>129.0</td>\n",
+              "      <td>129.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>May</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>121.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>121.0</td>\n",
+              "      <td>121.0</td>\n",
+              "      <td>121.0</td>\n",
+              "      <td>121.0</td>\n",
+              "      <td>121.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>June</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>135.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>135.0</td>\n",
+              "      <td>135.0</td>\n",
+              "      <td>135.0</td>\n",
+              "      <td>135.0</td>\n",
+              "      <td>135.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>July</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>148.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>148.0</td>\n",
+              "      <td>148.0</td>\n",
+              "      <td>148.0</td>\n",
+              "      <td>148.0</td>\n",
+              "      <td>148.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>August</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>148.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>148.0</td>\n",
+              "      <td>148.0</td>\n",
+              "      <td>148.0</td>\n",
+              "      <td>148.0</td>\n",
+              "      <td>148.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>September</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>136.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>136.0</td>\n",
+              "      <td>136.0</td>\n",
+              "      <td>136.0</td>\n",
+              "      <td>136.0</td>\n",
+              "      <td>136.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>October</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>119.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>119.0</td>\n",
+              "      <td>119.0</td>\n",
+              "      <td>119.0</td>\n",
+              "      <td>119.0</td>\n",
+              "      <td>119.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>November</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>104.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>104.0</td>\n",
+              "      <td>104.0</td>\n",
+              "      <td>104.0</td>\n",
+              "      <td>104.0</td>\n",
+              "      <td>104.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>December</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>118.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>118.0</td>\n",
+              "      <td>118.0</td>\n",
+              "      <td>118.0</td>\n",
+              "      <td>118.0</td>\n",
+              "      <td>118.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"12\" valign=\"top\">1950</th>\n",
+              "      <th>January</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>115.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>115.0</td>\n",
+              "      <td>115.0</td>\n",
+              "      <td>115.0</td>\n",
+              "      <td>115.0</td>\n",
+              "      <td>115.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>February</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>126.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>126.0</td>\n",
+              "      <td>126.0</td>\n",
+              "      <td>126.0</td>\n",
+              "      <td>126.0</td>\n",
+              "      <td>126.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>March</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>141.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>141.0</td>\n",
+              "      <td>141.0</td>\n",
+              "      <td>141.0</td>\n",
+              "      <td>141.0</td>\n",
+              "      <td>141.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>April</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>135.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>135.0</td>\n",
+              "      <td>135.0</td>\n",
+              "      <td>135.0</td>\n",
+              "      <td>135.0</td>\n",
+              "      <td>135.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>May</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>125.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>125.0</td>\n",
+              "      <td>125.0</td>\n",
+              "      <td>125.0</td>\n",
+              "      <td>125.0</td>\n",
+              "      <td>125.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>June</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>149.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>149.0</td>\n",
+              "      <td>149.0</td>\n",
+              "      <td>149.0</td>\n",
+              "      <td>149.0</td>\n",
+              "      <td>149.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>July</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>170.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>170.0</td>\n",
+              "      <td>170.0</td>\n",
+              "      <td>170.0</td>\n",
+              "      <td>170.0</td>\n",
+              "      <td>170.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>August</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>170.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>170.0</td>\n",
+              "      <td>170.0</td>\n",
+              "      <td>170.0</td>\n",
+              "      <td>170.0</td>\n",
+              "      <td>170.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>September</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>158.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>158.0</td>\n",
+              "      <td>158.0</td>\n",
+              "      <td>158.0</td>\n",
+              "      <td>158.0</td>\n",
+              "      <td>158.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>October</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>133.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>133.0</td>\n",
+              "      <td>133.0</td>\n",
+              "      <td>133.0</td>\n",
+              "      <td>133.0</td>\n",
+              "      <td>133.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>November</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>114.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>114.0</td>\n",
+              "      <td>114.0</td>\n",
+              "      <td>114.0</td>\n",
+              "      <td>114.0</td>\n",
+              "      <td>114.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>December</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>140.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>140.0</td>\n",
+              "      <td>140.0</td>\n",
+              "      <td>140.0</td>\n",
+              "      <td>140.0</td>\n",
+              "      <td>140.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"6\" valign=\"top\">1951</th>\n",
+              "      <th>January</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>145.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>145.0</td>\n",
+              "      <td>145.0</td>\n",
+              "      <td>145.0</td>\n",
+              "      <td>145.0</td>\n",
+              "      <td>145.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>February</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>150.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>150.0</td>\n",
+              "      <td>150.0</td>\n",
+              "      <td>150.0</td>\n",
+              "      <td>150.0</td>\n",
+              "      <td>150.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>March</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>178.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>178.0</td>\n",
+              "      <td>178.0</td>\n",
+              "      <td>178.0</td>\n",
+              "      <td>178.0</td>\n",
+              "      <td>178.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>April</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>163.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>163.0</td>\n",
+              "      <td>163.0</td>\n",
+              "      <td>163.0</td>\n",
+              "      <td>163.0</td>\n",
+              "      <td>163.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>May</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>172.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>172.0</td>\n",
+              "      <td>172.0</td>\n",
+              "      <td>172.0</td>\n",
+              "      <td>172.0</td>\n",
+              "      <td>172.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>June</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>178.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>178.0</td>\n",
+              "      <td>178.0</td>\n",
+              "      <td>178.0</td>\n",
+              "      <td>178.0</td>\n",
+              "      <td>178.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"6\" valign=\"top\">1958</th>\n",
+              "      <th>July</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>491.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>491.0</td>\n",
+              "      <td>491.0</td>\n",
+              "      <td>491.0</td>\n",
+              "      <td>491.0</td>\n",
+              "      <td>491.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>August</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>505.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>505.0</td>\n",
+              "      <td>505.0</td>\n",
+              "      <td>505.0</td>\n",
+              "      <td>505.0</td>\n",
+              "      <td>505.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>September</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>404.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>404.0</td>\n",
+              "      <td>404.0</td>\n",
+              "      <td>404.0</td>\n",
+              "      <td>404.0</td>\n",
+              "      <td>404.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>October</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>359.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>359.0</td>\n",
+              "      <td>359.0</td>\n",
+              "      <td>359.0</td>\n",
+              "      <td>359.0</td>\n",
+              "      <td>359.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>November</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>310.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>310.0</td>\n",
+              "      <td>310.0</td>\n",
+              "      <td>310.0</td>\n",
+              "      <td>310.0</td>\n",
+              "      <td>310.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>December</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>337.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>337.0</td>\n",
+              "      <td>337.0</td>\n",
+              "      <td>337.0</td>\n",
+              "      <td>337.0</td>\n",
+              "      <td>337.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"12\" valign=\"top\">1959</th>\n",
+              "      <th>January</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>360.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>360.0</td>\n",
+              "      <td>360.0</td>\n",
+              "      <td>360.0</td>\n",
+              "      <td>360.0</td>\n",
+              "      <td>360.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>February</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>342.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>342.0</td>\n",
+              "      <td>342.0</td>\n",
+              "      <td>342.0</td>\n",
+              "      <td>342.0</td>\n",
+              "      <td>342.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>March</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>406.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>406.0</td>\n",
+              "      <td>406.0</td>\n",
+              "      <td>406.0</td>\n",
+              "      <td>406.0</td>\n",
+              "      <td>406.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>April</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>396.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>396.0</td>\n",
+              "      <td>396.0</td>\n",
+              "      <td>396.0</td>\n",
+              "      <td>396.0</td>\n",
+              "      <td>396.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>May</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>420.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>420.0</td>\n",
+              "      <td>420.0</td>\n",
+              "      <td>420.0</td>\n",
+              "      <td>420.0</td>\n",
+              "      <td>420.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>June</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>472.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>472.0</td>\n",
+              "      <td>472.0</td>\n",
+              "      <td>472.0</td>\n",
+              "      <td>472.0</td>\n",
+              "      <td>472.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>July</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>548.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>548.0</td>\n",
+              "      <td>548.0</td>\n",
+              "      <td>548.0</td>\n",
+              "      <td>548.0</td>\n",
+              "      <td>548.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>August</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>559.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>559.0</td>\n",
+              "      <td>559.0</td>\n",
+              "      <td>559.0</td>\n",
+              "      <td>559.0</td>\n",
+              "      <td>559.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>September</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>463.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>463.0</td>\n",
+              "      <td>463.0</td>\n",
+              "      <td>463.0</td>\n",
+              "      <td>463.0</td>\n",
+              "      <td>463.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>October</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>407.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>407.0</td>\n",
+              "      <td>407.0</td>\n",
+              "      <td>407.0</td>\n",
+              "      <td>407.0</td>\n",
+              "      <td>407.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>November</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>362.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>362.0</td>\n",
+              "      <td>362.0</td>\n",
+              "      <td>362.0</td>\n",
+              "      <td>362.0</td>\n",
+              "      <td>362.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>December</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>405.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>405.0</td>\n",
+              "      <td>405.0</td>\n",
+              "      <td>405.0</td>\n",
+              "      <td>405.0</td>\n",
+              "      <td>405.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"12\" valign=\"top\">1960</th>\n",
+              "      <th>January</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>417.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>417.0</td>\n",
+              "      <td>417.0</td>\n",
+              "      <td>417.0</td>\n",
+              "      <td>417.0</td>\n",
+              "      <td>417.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>February</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>391.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>391.0</td>\n",
+              "      <td>391.0</td>\n",
+              "      <td>391.0</td>\n",
+              "      <td>391.0</td>\n",
+              "      <td>391.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>March</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>419.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>419.0</td>\n",
+              "      <td>419.0</td>\n",
+              "      <td>419.0</td>\n",
+              "      <td>419.0</td>\n",
+              "      <td>419.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>April</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>461.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>461.0</td>\n",
+              "      <td>461.0</td>\n",
+              "      <td>461.0</td>\n",
+              "      <td>461.0</td>\n",
+              "      <td>461.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>May</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>472.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>472.0</td>\n",
+              "      <td>472.0</td>\n",
+              "      <td>472.0</td>\n",
+              "      <td>472.0</td>\n",
+              "      <td>472.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>June</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>535.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>535.0</td>\n",
+              "      <td>535.0</td>\n",
+              "      <td>535.0</td>\n",
+              "      <td>535.0</td>\n",
+              "      <td>535.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>July</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>622.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>622.0</td>\n",
+              "      <td>622.0</td>\n",
+              "      <td>622.0</td>\n",
+              "      <td>622.0</td>\n",
+              "      <td>622.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>August</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>606.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>606.0</td>\n",
+              "      <td>606.0</td>\n",
+              "      <td>606.0</td>\n",
+              "      <td>606.0</td>\n",
+              "      <td>606.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>September</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>508.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>508.0</td>\n",
+              "      <td>508.0</td>\n",
+              "      <td>508.0</td>\n",
+              "      <td>508.0</td>\n",
+              "      <td>508.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>October</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>461.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>461.0</td>\n",
+              "      <td>461.0</td>\n",
+              "      <td>461.0</td>\n",
+              "      <td>461.0</td>\n",
+              "      <td>461.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>November</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>390.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>390.0</td>\n",
+              "      <td>390.0</td>\n",
+              "      <td>390.0</td>\n",
+              "      <td>390.0</td>\n",
+              "      <td>390.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>December</th>\n",
+              "      <td>1.0</td>\n",
+              "      <td>432.0</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>432.0</td>\n",
+              "      <td>432.0</td>\n",
+              "      <td>432.0</td>\n",
+              "      <td>432.0</td>\n",
+              "      <td>432.0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>144 rows × 8 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "               passengers                                              \n",
+              "                    count   mean std    min    25%    50%    75%    max\n",
+              "year month                                                             \n",
+              "1949 January          1.0  112.0 NaN  112.0  112.0  112.0  112.0  112.0\n",
+              "     February         1.0  118.0 NaN  118.0  118.0  118.0  118.0  118.0\n",
+              "     March            1.0  132.0 NaN  132.0  132.0  132.0  132.0  132.0\n",
+              "     April            1.0  129.0 NaN  129.0  129.0  129.0  129.0  129.0\n",
+              "     May              1.0  121.0 NaN  121.0  121.0  121.0  121.0  121.0\n",
+              "     June             1.0  135.0 NaN  135.0  135.0  135.0  135.0  135.0\n",
+              "     July             1.0  148.0 NaN  148.0  148.0  148.0  148.0  148.0\n",
+              "     August           1.0  148.0 NaN  148.0  148.0  148.0  148.0  148.0\n",
+              "     September        1.0  136.0 NaN  136.0  136.0  136.0  136.0  136.0\n",
+              "     October          1.0  119.0 NaN  119.0  119.0  119.0  119.0  119.0\n",
+              "     November         1.0  104.0 NaN  104.0  104.0  104.0  104.0  104.0\n",
+              "     December         1.0  118.0 NaN  118.0  118.0  118.0  118.0  118.0\n",
+              "1950 January          1.0  115.0 NaN  115.0  115.0  115.0  115.0  115.0\n",
+              "     February         1.0  126.0 NaN  126.0  126.0  126.0  126.0  126.0\n",
+              "     March            1.0  141.0 NaN  141.0  141.0  141.0  141.0  141.0\n",
+              "     April            1.0  135.0 NaN  135.0  135.0  135.0  135.0  135.0\n",
+              "     May              1.0  125.0 NaN  125.0  125.0  125.0  125.0  125.0\n",
+              "     June             1.0  149.0 NaN  149.0  149.0  149.0  149.0  149.0\n",
+              "     July             1.0  170.0 NaN  170.0  170.0  170.0  170.0  170.0\n",
+              "     August           1.0  170.0 NaN  170.0  170.0  170.0  170.0  170.0\n",
+              "     September        1.0  158.0 NaN  158.0  158.0  158.0  158.0  158.0\n",
+              "     October          1.0  133.0 NaN  133.0  133.0  133.0  133.0  133.0\n",
+              "     November         1.0  114.0 NaN  114.0  114.0  114.0  114.0  114.0\n",
+              "     December         1.0  140.0 NaN  140.0  140.0  140.0  140.0  140.0\n",
+              "1951 January          1.0  145.0 NaN  145.0  145.0  145.0  145.0  145.0\n",
+              "     February         1.0  150.0 NaN  150.0  150.0  150.0  150.0  150.0\n",
+              "     March            1.0  178.0 NaN  178.0  178.0  178.0  178.0  178.0\n",
+              "     April            1.0  163.0 NaN  163.0  163.0  163.0  163.0  163.0\n",
+              "     May              1.0  172.0 NaN  172.0  172.0  172.0  172.0  172.0\n",
+              "     June             1.0  178.0 NaN  178.0  178.0  178.0  178.0  178.0\n",
+              "...                   ...    ...  ..    ...    ...    ...    ...    ...\n",
+              "1958 July             1.0  491.0 NaN  491.0  491.0  491.0  491.0  491.0\n",
+              "     August           1.0  505.0 NaN  505.0  505.0  505.0  505.0  505.0\n",
+              "     September        1.0  404.0 NaN  404.0  404.0  404.0  404.0  404.0\n",
+              "     October          1.0  359.0 NaN  359.0  359.0  359.0  359.0  359.0\n",
+              "     November         1.0  310.0 NaN  310.0  310.0  310.0  310.0  310.0\n",
+              "     December         1.0  337.0 NaN  337.0  337.0  337.0  337.0  337.0\n",
+              "1959 January          1.0  360.0 NaN  360.0  360.0  360.0  360.0  360.0\n",
+              "     February         1.0  342.0 NaN  342.0  342.0  342.0  342.0  342.0\n",
+              "     March            1.0  406.0 NaN  406.0  406.0  406.0  406.0  406.0\n",
+              "     April            1.0  396.0 NaN  396.0  396.0  396.0  396.0  396.0\n",
+              "     May              1.0  420.0 NaN  420.0  420.0  420.0  420.0  420.0\n",
+              "     June             1.0  472.0 NaN  472.0  472.0  472.0  472.0  472.0\n",
+              "     July             1.0  548.0 NaN  548.0  548.0  548.0  548.0  548.0\n",
+              "     August           1.0  559.0 NaN  559.0  559.0  559.0  559.0  559.0\n",
+              "     September        1.0  463.0 NaN  463.0  463.0  463.0  463.0  463.0\n",
+              "     October          1.0  407.0 NaN  407.0  407.0  407.0  407.0  407.0\n",
+              "     November         1.0  362.0 NaN  362.0  362.0  362.0  362.0  362.0\n",
+              "     December         1.0  405.0 NaN  405.0  405.0  405.0  405.0  405.0\n",
+              "1960 January          1.0  417.0 NaN  417.0  417.0  417.0  417.0  417.0\n",
+              "     February         1.0  391.0 NaN  391.0  391.0  391.0  391.0  391.0\n",
+              "     March            1.0  419.0 NaN  419.0  419.0  419.0  419.0  419.0\n",
+              "     April            1.0  461.0 NaN  461.0  461.0  461.0  461.0  461.0\n",
+              "     May              1.0  472.0 NaN  472.0  472.0  472.0  472.0  472.0\n",
+              "     June             1.0  535.0 NaN  535.0  535.0  535.0  535.0  535.0\n",
+              "     July             1.0  622.0 NaN  622.0  622.0  622.0  622.0  622.0\n",
+              "     August           1.0  606.0 NaN  606.0  606.0  606.0  606.0  606.0\n",
+              "     September        1.0  508.0 NaN  508.0  508.0  508.0  508.0  508.0\n",
+              "     October          1.0  461.0 NaN  461.0  461.0  461.0  461.0  461.0\n",
+              "     November         1.0  390.0 NaN  390.0  390.0  390.0  390.0  390.0\n",
+              "     December         1.0  432.0 NaN  432.0  432.0  432.0  432.0  432.0\n",
+              "\n",
+              "[144 rows x 8 columns]"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 205
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "N_bejGr1C5-W",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Plot year & passengers"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ccHVynNZC5-Y",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1126
+        },
+        "outputId": "b421f8b7-e681-488c-e3cd-4a0ddba332de"
+      },
+      "cell_type": "code",
+      "source": [
+        "# sns.relplot(x=\"x\", y=\"y\", col='dataset', data=df);\n",
+        "\n",
+        "sns.relplot(x=\"year\", y=\"passengers\", col='month', hue='month', col_wrap=4, data=flights)"
+      ],
+      "execution_count": 206,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<seaborn.axisgrid.FacetGrid at 0x7f63e18a1828>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 206
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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SNpz9qsxt3dDvWAAA9MhwZyynPeSVGRmeuLV28Kr75fC1D1vya42NHZwzTn3t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\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63e18a17b8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "KsQoH0QMC5-d",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Plot month & passengers"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "c83lAPqyC5-f",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1162
+        },
+        "outputId": "2a7afb0f-9e1e-4dcb-cc1b-7c14a4b78fb9"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.relplot(x=\"month\", y=\"passengers\", col='year', col_wrap=4, hue='year', data=flights).set_xticklabels(rotation=45)"
+      ],
+      "execution_count": 207,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<seaborn.axisgrid.FacetGrid at 0x7f63e170c710>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 207
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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O28KDaZl3ILkGb8hXDc65klQ9zrmSVD3OuZKk8VTtkP3Z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\nRleyzBRzAAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63e145df98>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "XKp4aSwoC5-h",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Create a [pivot table](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.pivot_table.html) of passengers by month and year"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "tpC0EkbYC5-j",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 2000
+        },
+        "outputId": "297f9dd7-3ac8-4756-b607-00fd1359db56"
+      },
+      "cell_type": "code",
+      "source": [
+        "'''\n",
+        "table = pivot_table(df, values='D', index=['A', 'B'],\n",
+        "  columns=['C'], aggfunc=np.sum)\n",
+        "'''\n",
+        "# pd.pivot_table(df, index=['regiment','company'], aggfunc='mean')\n",
+        "\n",
+        "flights_pivot = pd.pivot_table(flights, index=['month', 'year'])  # aggfunc='mean'\n",
+        "flights_pivot"
+      ],
+      "execution_count": 210,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th>passengers</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>month</th>\n",
+              "      <th>year</th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"12\" valign=\"top\">January</th>\n",
+              "      <th>1949</th>\n",
+              "      <td>112</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1950</th>\n",
+              "      <td>115</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1951</th>\n",
+              "      <td>145</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1952</th>\n",
+              "      <td>171</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1953</th>\n",
+              "      <td>196</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1954</th>\n",
+              "      <td>204</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1955</th>\n",
+              "      <td>242</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1956</th>\n",
+              "      <td>284</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1957</th>\n",
+              "      <td>315</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1958</th>\n",
+              "      <td>340</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1959</th>\n",
+              "      <td>360</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1960</th>\n",
+              "      <td>417</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"12\" valign=\"top\">February</th>\n",
+              "      <th>1949</th>\n",
+              "      <td>118</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1950</th>\n",
+              "      <td>126</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1951</th>\n",
+              "      <td>150</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1952</th>\n",
+              "      <td>180</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1953</th>\n",
+              "      <td>196</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1954</th>\n",
+              "      <td>188</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1955</th>\n",
+              "      <td>233</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1956</th>\n",
+              "      <td>277</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1957</th>\n",
+              "      <td>301</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1958</th>\n",
+              "      <td>318</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1959</th>\n",
+              "      <td>342</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1960</th>\n",
+              "      <td>391</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"6\" valign=\"top\">March</th>\n",
+              "      <th>1949</th>\n",
+              "      <td>132</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1950</th>\n",
+              "      <td>141</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1951</th>\n",
+              "      <td>178</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1952</th>\n",
+              "      <td>193</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1953</th>\n",
+              "      <td>236</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1954</th>\n",
+              "      <td>235</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"6\" valign=\"top\">October</th>\n",
+              "      <th>1955</th>\n",
+              "      <td>274</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1956</th>\n",
+              "      <td>306</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1957</th>\n",
+              "      <td>347</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1958</th>\n",
+              "      <td>359</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1959</th>\n",
+              "      <td>407</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1960</th>\n",
+              "      <td>461</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"12\" valign=\"top\">November</th>\n",
+              "      <th>1949</th>\n",
+              "      <td>104</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1950</th>\n",
+              "      <td>114</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1951</th>\n",
+              "      <td>146</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1952</th>\n",
+              "      <td>172</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1953</th>\n",
+              "      <td>180</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1954</th>\n",
+              "      <td>203</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1955</th>\n",
+              "      <td>237</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1956</th>\n",
+              "      <td>271</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1957</th>\n",
+              "      <td>305</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1958</th>\n",
+              "      <td>310</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1959</th>\n",
+              "      <td>362</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1960</th>\n",
+              "      <td>390</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th rowspan=\"12\" valign=\"top\">December</th>\n",
+              "      <th>1949</th>\n",
+              "      <td>118</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1950</th>\n",
+              "      <td>140</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1951</th>\n",
+              "      <td>166</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1952</th>\n",
+              "      <td>194</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1953</th>\n",
+              "      <td>201</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1954</th>\n",
+              "      <td>229</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1955</th>\n",
+              "      <td>278</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1956</th>\n",
+              "      <td>306</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1957</th>\n",
+              "      <td>336</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1958</th>\n",
+              "      <td>337</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1959</th>\n",
+              "      <td>405</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1960</th>\n",
+              "      <td>432</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>144 rows × 1 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "               passengers\n",
+              "month    year            \n",
+              "January  1949         112\n",
+              "         1950         115\n",
+              "         1951         145\n",
+              "         1952         171\n",
+              "         1953         196\n",
+              "         1954         204\n",
+              "         1955         242\n",
+              "         1956         284\n",
+              "         1957         315\n",
+              "         1958         340\n",
+              "         1959         360\n",
+              "         1960         417\n",
+              "February 1949         118\n",
+              "         1950         126\n",
+              "         1951         150\n",
+              "         1952         180\n",
+              "         1953         196\n",
+              "         1954         188\n",
+              "         1955         233\n",
+              "         1956         277\n",
+              "         1957         301\n",
+              "         1958         318\n",
+              "         1959         342\n",
+              "         1960         391\n",
+              "March    1949         132\n",
+              "         1950         141\n",
+              "         1951         178\n",
+              "         1952         193\n",
+              "         1953         236\n",
+              "         1954         235\n",
+              "...                   ...\n",
+              "October  1955         274\n",
+              "         1956         306\n",
+              "         1957         347\n",
+              "         1958         359\n",
+              "         1959         407\n",
+              "         1960         461\n",
+              "November 1949         104\n",
+              "         1950         114\n",
+              "         1951         146\n",
+              "         1952         172\n",
+              "         1953         180\n",
+              "         1954         203\n",
+              "         1955         237\n",
+              "         1956         271\n",
+              "         1957         305\n",
+              "         1958         310\n",
+              "         1959         362\n",
+              "         1960         390\n",
+              "December 1949         118\n",
+              "         1950         140\n",
+              "         1951         166\n",
+              "         1952         194\n",
+              "         1953         201\n",
+              "         1954         229\n",
+              "         1955         278\n",
+              "         1956         306\n",
+              "         1957         336\n",
+              "         1958         337\n",
+              "         1959         405\n",
+              "         1960         432\n",
+              "\n",
+              "[144 rows x 1 columns]"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 210
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Snku7ji1-th3",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 269
+        },
+        "outputId": "ba72066c-9edd-4df9-9e9e-0308a2e249fd"
+      },
+      "cell_type": "code",
+      "source": [
+        "ax2 = sns.heatmap(flights_pivot)"
+      ],
+      "execution_count": 214,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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QBEGjaCGnKAxcJ5RVMulrVlh02b5eQhAECxMtdA+uWaMo6yLJkn5beD9I0vOSLm/Q/FMl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\nSUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63e0e4e588>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "k7BycMZPC5-r",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "### Plot the pivot table as a [heat map](https://seaborn.pydata.org/generated/seaborn.heatmap.html)"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "lVjNjKLmC5-t",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 235
+        },
+        "outputId": "b4cd5eaa-a14c-4b70-ab72-8dce7c6d705c"
+      },
+      "cell_type": "code",
+      "source": [
+        "flights_pivot2 = flights.pivot(\"month\", \"year\", \"passengers\")\n",
+        "flights_pivot2.head()"
+      ],
+      "execution_count": 209,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th>year</th>\n",
+              "      <th>1949</th>\n",
+              "      <th>1950</th>\n",
+              "      <th>1951</th>\n",
+              "      <th>1952</th>\n",
+              "      <th>1953</th>\n",
+              "      <th>1954</th>\n",
+              "      <th>1955</th>\n",
+              "      <th>1956</th>\n",
+              "      <th>1957</th>\n",
+              "      <th>1958</th>\n",
+              "      <th>1959</th>\n",
+              "      <th>1960</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>month</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>January</th>\n",
+              "      <td>112</td>\n",
+              "      <td>115</td>\n",
+              "      <td>145</td>\n",
+              "      <td>171</td>\n",
+              "      <td>196</td>\n",
+              "      <td>204</td>\n",
+              "      <td>242</td>\n",
+              "      <td>284</td>\n",
+              "      <td>315</td>\n",
+              "      <td>340</td>\n",
+              "      <td>360</td>\n",
+              "      <td>417</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>February</th>\n",
+              "      <td>118</td>\n",
+              "      <td>126</td>\n",
+              "      <td>150</td>\n",
+              "      <td>180</td>\n",
+              "      <td>196</td>\n",
+              "      <td>188</td>\n",
+              "      <td>233</td>\n",
+              "      <td>277</td>\n",
+              "      <td>301</td>\n",
+              "      <td>318</td>\n",
+              "      <td>342</td>\n",
+              "      <td>391</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>March</th>\n",
+              "      <td>132</td>\n",
+              "      <td>141</td>\n",
+              "      <td>178</td>\n",
+              "      <td>193</td>\n",
+              "      <td>236</td>\n",
+              "      <td>235</td>\n",
+              "      <td>267</td>\n",
+              "      <td>317</td>\n",
+              "      <td>356</td>\n",
+              "      <td>362</td>\n",
+              "      <td>406</td>\n",
+              "      <td>419</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>April</th>\n",
+              "      <td>129</td>\n",
+              "      <td>135</td>\n",
+              "      <td>163</td>\n",
+              "      <td>181</td>\n",
+              "      <td>235</td>\n",
+              "      <td>227</td>\n",
+              "      <td>269</td>\n",
+              "      <td>313</td>\n",
+              "      <td>348</td>\n",
+              "      <td>348</td>\n",
+              "      <td>396</td>\n",
+              "      <td>461</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>May</th>\n",
+              "      <td>121</td>\n",
+              "      <td>125</td>\n",
+              "      <td>172</td>\n",
+              "      <td>183</td>\n",
+              "      <td>229</td>\n",
+              "      <td>234</td>\n",
+              "      <td>270</td>\n",
+              "      <td>318</td>\n",
+              "      <td>355</td>\n",
+              "      <td>363</td>\n",
+              "      <td>420</td>\n",
+              "      <td>472</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "year      1949  1950  1951  1952  1953  1954  1955  1956  1957  1958  1959  \\\n",
+              "month                                                                        \n",
+              "January    112   115   145   171   196   204   242   284   315   340   360   \n",
+              "February   118   126   150   180   196   188   233   277   301   318   342   \n",
+              "March      132   141   178   193   236   235   267   317   356   362   406   \n",
+              "April      129   135   163   181   235   227   269   313   348   348   396   \n",
+              "May        121   125   172   183   229   234   270   318   355   363   420   \n",
+              "\n",
+              "year      1960  \n",
+              "month           \n",
+              "January    417  \n",
+              "February   391  \n",
+              "March      419  \n",
+              "April      461  \n",
+              "May        472  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 209
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "pMeIhAL76_Ej",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 298
+        },
+        "outputId": "7373e84d-9a5a-4c90-ae24-6a8c2b6c14de"
+      },
+      "cell_type": "code",
+      "source": [
+        "ax = sns.heatmap(flights_pivot2)"
+      ],
+      "execution_count": 213,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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NlrVSZz0kbSrpckn3Sfo/Sd+T1GvxNUknSBpTIu6ixrbUzGxwLCdKba2gJZON\niqWWfwX8OiK2AramWGvtq3287ASg32RTZ7vcEzSzlhEl/2sFLZlsKAqgLY6Ic2BFqYITgWMkjZX0\nbUl3SJon6ThJxwMbA7MkzQKQdLik+em8b9YGl3SqpDslzUwVOpG0paSrJN0i6Q+Stk3HfyrpTEk3\nAv/dvI/AzKxvnSW3VtCqyWZ74JbaAxHxD4qyzP9KUQhtakTsCFwQEacBfwP2iYh9JG0MfJMiaU0F\ndpd0UAo1FpgTEdsD1wFfSMfPAo5LFURPAs6oeftNgddGxCe7N7S2Uuey5S804Fs3MysnIkptraCK\nw0LTgDMiYjlARDzbwzm7A7Mj4ikASRdQrDT9a4pEf1E673zgV6ki52uBS2oqdY6siXdJ6l2torZS\n57gxm7fGv6qZrRGqNButVXs2dwG71h6QNB54VYb3CorP4fmImFqzvbrmHFfqNLOW06jiaZImS5ol\n6a50ieET6fgkSdemiVrXSlo7HZek0yTdny5n7NLfe7RqspkJjJF0BICkNuAU4KfA1cCHui7WS5qU\nXlNb0fMm4I2S1k2vPZxiyAyK7/m9af9fgBvSEN2Dkg5JMSVpp4zfn5lZ3TqJUlsJy4FPRcR2wF7A\nxyRtB3wGmJkmas1MjwHeDmyVtunAD/t7g5ZMNlEMMh4MHCLpPuBeYDHwWWAGxbWbeZJup0gYUAxl\nXSVpVkQ8TvGhzAJuB26JiMvTeS8Ce0i6g+KazpfS8fcDx6aYdwIHZv42zczq0qhrNhHxeETcmvZf\nAO4GNqH4PXhuOu1coOva94HAeVH4CzBR0kZ9vUfLXrOJiEeAd/by9CfTVnv+6cDpNY8vBC7sIe64\n7sfS8QeBt/Vw/KjSjTYza6KyM80kTafogXQ5K11v7uncKcDOwI3ABumPd4C/Axuk/U2AR2pe9mg6\n9ji9aNlkY2ZmfSt7D03tRKa+pMlSlwInRMQ/aiZMEREhacAzElpyGM3MzPrXwGs2SBpOkWguiIhf\npcNPdA2Ppa9PpuOPAZNrXr5pOtYrJxszs4rqiM5SW3/Sqi0/Ae6OiO/UPHUFcGTaPxK4vOb4EWky\n1V7Awprhth55GK2BFi9fmiXu8s485XRHtfe61FxdRg4bniUuwOLO5VniLm3LU2J5ZFu+v+c62kb2\nf9KA5InblvGWkGEP5wm++IWXssSFlVNn69HApWj+GfggMF/S3HTss8A3gIslHQs8BLwvPXclsD9w\nP/AScHR/b+BkY2ZWUY0qnhYRNwDq5el9ezg/gI+tzns42ZiZVVR11g9wsjEzq6wqLVfjZGNmVlFO\nNmZmll2ZmWatoilTnyWFpFNqnrjMAAANKElEQVRqHp8k6YvNeO8e2uJKnWY2JLh42qqWAO+WtG6T\n3i8LV+o0s1ZSpXo2zUo2yymWSjix+xOSpkj6fVqmeqakV0maIOkhScPSOWMlPSJpeD8VNX8o6S+S\nHpA0TdLZku6W9NNu7+lKnWZWeY1cQSC3Zq4g8APg/ZImdDt+OnBuV9VN4LSIWAjMBd6YzjkAuDoi\nltF3Rc21gb0pktoVwKkUVT9fI2lqOidbpc7OTpe9MbPmqVLPpmnDQmlRt/OA44GXa57aG3h32v8Z\nK3sPFwGHUpQJOAw4o0RFzd+kxeLmA09ExHwASXdSlJKeS8ZKne0jNmmNf1UzWyN0lF73efA1+xrE\nd4FbgXNKnHsF8LVUHG1X4PcUvZLnI2JqL69Zkr521ux3Pe7te31Fpc5eznGXxcxaTqNWEGiGpi7E\nGRHPAhcDx9Yc/hNFzwWKAmZ/SOcuAm4Gvgf8NiI6GlRR05U6zWxI8Gy0vp0C1M5KOw44WtI8ioXg\nPlHz3EXAB1g57AX1V9R0pU4zGxI6I0ptrUCtcvFoKMh1zaZ9WFuOsGwwdmKWuOuMGJ8lLsCITLPP\n18606vMmbWOzxAXYNPKszjy5o7f1GOuTc9Xn7TONdE9aO9+qz1vecXXdH/S26+9e6lO958mb8/yj\nrgbfN2JmVlGt0mspw8nGzKyiqrRcjZONmVlFtcrF/zKcbBpoZHueCpUTR+YZ958wPE/ctdvGZIkL\n0K4816/WHZbnms3mma6rAGyY6drKRsvyVEPNORtpoykLs8Qds3GeKrmNEu7ZmJlZbq2yFE0ZTjZm\nZhVVpdnETjZmZhXlno2ZmWXX0elrNmZmlplno3UjqQOYDwynqG1zHnBqDMJUCkmLImJcs9/XzKzR\nfM1mVS93ragsaX3g58B4VtaSqQRJ7RGRZ16omdlqqtI1m6YvxBkRTwLTgY+n1ZXbJH1L0s2pWueH\nus6V9GlJ8yXdLukb6ZgrdZqZ4eJp/YqIByS1AetTrK68MCJ2lzQS+KOka4Bt03N7RsRLqa4NFIXK\nPhwR90nak6Ki5pvSc12VOt9FUQ/nn4F/BW6WNDUi5rKyUueJkj5P0bv6eD9xuyp1rnKHl6TpFMmT\nEcMn0d6+VsM+JzOzvniCwOp5C7CjpK4aMxOArYA3A+dExEtQ1MJp9UqdY8dMaY0/IcxsjVClYbRB\nSTaStgA6gCcBAcdFxNXdznlrDy/tr6KmK3Wa2RqjVYbIymj6NZt0jeRM4PtRfFJXAx+RNDw9v7Wk\nscC1FEXVxqTjk1yp08xspSoVT2tWshktaW4azvpf4Brg5PTcDOAu4NZUPfNHQHtEXEVx3WWOpLnA\nSel8V+o0M6NaZaFdqbOBcl2zybXq8zoj81TUXC/jJIlcqz6vn2nV523JExe86nOtHaY8mSVuzlWf\nJ112Xd3/gKNHb1bqd87LLz/kSp1mZjYwnS4xYGZmuVVpZMrJxsysoqqUbErfgeqtsRswvUpxq9hm\nfxb+LIbKZzEUtqZPfbYVplcsbs7YVYubM3bV4uaMXbW4uWNXmpONmZll52RjZmbZOdkMnrMqFjdn\n7KrFzRm7anFzxq5a3NyxK803dZqZWXbu2ZiZWXZONmZmlp2TjZmZZedkY2Zm2TnZmJlZdk42ZmaW\nnRfibJJUCvvdwGSKktj3Aj+PokpovbHfChwEbJIOPQZcHkUBuoaT9PmI+FL/Z/b6+rcCmwIzI2JB\nzfFjIuLsOuIKOISi1PcvKYrjHQjcA5wZ0bj12CX9PiLeVGeMdSPi6ZrHHwD2AO4AfhwDvC9B0sHA\ndRHxbKqMewqwM0WRwk9FxKN1tPk7wKUR8ceBxugl7iTg48DfgJ8AnwX2Bu4GvhYRz9URex/gPbzy\nZ29GRNzfgHY39WevynyfTRNIOh44ALge2B+4DXgeOBj4aETMriP2d4GtgfOArl8imwJHAPdFxCcG\n3vJe3/PhiHjVAF/7NeB1wK3AO4HvRsTp6blbI2KXOtp1BrA+MAL4BzCSotrrO4AnBvpZSJrX/RDF\nZ/5XgIjYcYBxV3y/kj4HvB74OcX/K49GxIkDjHtXRGyX9i8C/gJcArwZeH9E7DeQuCneU8BDwHrA\nRcCFEXHbQOPVxL0SmA+MB16d9i8G9gN2iogBVc6V9HVgQ2AmRVJ4kCLZfJQiiV1SR5ub/rNXaYO9\nEuiasFH84LSl/THA7LT/KuC2OmPf28txUfwPP9C4/+hlewFYXudn0Z72JwJXAqemx/V+FvPT1+HA\nM8CI9LgdmFdH3CuA84Ftgc2AKcAjaX+zOuLeVrN/KzC2pv3z64j715r9W7o9N7fOz/i29HVr4P9R\nlFC/B/gCsHUdcefGyv9vH2tUm2s/x/T/wR/T/trAHXV+Fll+9obq5ms2zdM1ZDkSGAcQEQ9T/GKp\nx2JJu/dwfHdgcR1xnwe2iojx3ba1gMfriNseEcsBIuJ5it7NeEmXUPRI6tEVdxlwc0QsTY+XAwMe\nQouIdwGXUixFslMUQ3/LIuKhiHiojvaOlrSzpF0p/hh5sab99dQjni3pS5JGp/2DYcVw0sI64kIx\nRElE3BsRX46I7YH3AaMo/nAYqGGS1qYY6honaQqApHWo7/+LzjREB7Ax0AYQxbBcvaWSc/3sDUm+\nZtMcM4CbJd1IMVTyTYA0nv5snbGPAn4oaS1WduUnU/xSOaqOuOdR/OX+RA/P/byOuP8n6Y0RcR1A\nRHQAx0r6CsW4ej3+LmlcRCyKiLd1HZS0IbC0nsARcZmka4AvSzqW+hMjFEn7O2n/WUkbRcTj6Rfs\n8jrifhz4L9IwH3CipBeB3wAfrCMu9PALOiLmAfOA/6wj7tcpekgAxwAzJAWwHXByHXG/Btwm6V5g\nG+AjsOJn7/Y64kK+n70hyddsmkTS9hRj0XdExD39nT+A+BtSc5EyIv7e6PdohPTXNhHxcg/PbRIR\nj2V4z7EUQ1RPNijeTsDeEXFmI+L1EL8NGBkRLzUg1gSK3uQz9bcMupJ5I2L1ELuN4nfSckntwFSK\n/5fr6Ul3TT7YArg/9aYbqio/e4PNyWaQSPpoRJyRIe44ivH0Bxr5g1W1uDljO27+2FWIK2kExXBq\npMf7ALsAd4Zno63C12yaQNInu22fAr7U9bjO2GfU7L+OYnrrKcB8SfuvKXFzxnbc/LGrFje5mWKS\nC5L+HfgqMBr4VJoFZ7UGe4bCmrBRzOC6CPg8xaydLwDPde3XGfvWmv1ZwC5pfwtgzpoSt4ptrlrc\nKrY582dxR83+HGB02q9r9uNQ3dyzaY7tKXqRY4FvRcTJwHMRcXLab5TxEXErQEQ8QON6rlWLmzO2\n4+aPXZW4/5C0Q9p/mmJGHhTJxr9bu/FstCaIYorzIZIOBK6VdGoDw2+bbjoUMEXS2hHxnKRh1Ddj\nqmpxq9jmqsWtYptzfhYfBi6QdDvwJDBH0vXAayhmwVkNJ5smiojLJc2kGD4b8JIh3by62+MX09dJ\nFMN2a0rcnLEdN3/sqsUlIuZJ2gV4C8Wkg9spfq5PjAyz3qrOs9HMzCw7jys2gaRx6Y7uOyUtlPSU\npL9IOqpVY1ctbhXbXLW4VWxzFT+Loco9myaQdDlwGfC/FEt7jAV+AXyO4iawz7Za7KrFrWKbqxa3\nim2u4mcxZA32dLg1YQNu7/b45vR1GHBPK8auWtwqtrlqcavY5ip+FkN18zBac7yo4oYyJL2LtB5a\nFPVV6l0MMFfsqsXNGdtx88euWtzcsYeewc52a8IG7AjcRHEj5w2kpdgpaoIc34qxqxa3im2uWtwq\ntrmKn8VQ3Tz1uQmiWBV3jx6OPyXphVaMXbW4OWM7bv7YVYubO/ZQ5AkCg0x1VL0crNhVi5sztuPm\nj121uLljV5V7Nk2gVcsKr3gK2KAVY1ctbs7Yjps/dtXi5o49FDnZNMcGwFspxnZrCfhTi8auWtyc\nsR03f+yqxc0de8hxsmmO3wLjImJu9yckzW7R2FWLmzO24+aPXbW4uWMPOb5mY2Zm2fk+GzMzy87J\nxszMsnOyMTOz7JxszFqEpLbBboNZLk42ZgOQlpY/oebxVyV9QtK/S7pZ0jxJJ9c8/2tJt6Tl6KfX\nHF8k6RQV1R73bvK3YdY0TjZmA3M2cASAihLDhwF/B7aiWMJkKrCrpDek84+JiF2B3YDjJa2Tjo8F\nboyInSLihmZ+A2bN5PtszAYgIhZIekbSzhQ3990G7E5RIvi2dNo4iuRzPUWCOTgdn5yOPwN0AJc2\ns+1mg8HJxmzgZgBHARtS9HT2Bb4eET+qPUnSNODNwN4R8VK64W9UenpxRHQ0q8Fmg8XDaGYDdxnw\nNooezdVpO0bSOABJm0haH5gAPJcSzbbAXoPVYLPB4p6N2QBFxFJJs4DnU+/kGkmvBv4sCWAR8AHg\nKuDDku4G/gr8ZbDabDZYvFyN2QCliQG3AodExH2D3R6zVuZhNLMBkLQdcD8w04nGrH/u2ZiZWXbu\n2ZiZWXZONmZmlp2TjZmZZedkY2Zm2TnZmJlZdv8feIFhH4SGn0MAAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f63e11eeda0>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "hqWDmZqVjd-N",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "# Objective Challenge\n",
+        "\n",
+        "### For this challenge I will be plotting with seaborn using the Bostong Housing Dataset"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "LqjbwP1h-QHK",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt\n",
+        "%matplotlib inline\n",
+        "\n",
+        "import seaborn as sns"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "4hHPpblKlj_t",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 224
+        },
+        "outputId": "90baeb1d-ca8b-4c60-b6db-55a2d284bf0e"
+      },
+      "cell_type": "code",
+      "source": [
+        "housing = pd.read_csv('https://raw.githubusercontent.com/ageron/handson-ml/master/datasets/housing/housing.csv')\n",
+        "housing.head()"
+      ],
+      "execution_count": 20,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>longitude</th>\n",
+              "      <th>latitude</th>\n",
+              "      <th>housing_median_age</th>\n",
+              "      <th>total_rooms</th>\n",
+              "      <th>total_bedrooms</th>\n",
+              "      <th>population</th>\n",
+              "      <th>households</th>\n",
+              "      <th>median_income</th>\n",
+              "      <th>median_house_value</th>\n",
+              "      <th>ocean_proximity</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>-122.23</td>\n",
+              "      <td>37.88</td>\n",
+              "      <td>41.0</td>\n",
+              "      <td>880.0</td>\n",
+              "      <td>129.0</td>\n",
+              "      <td>322.0</td>\n",
+              "      <td>126.0</td>\n",
+              "      <td>8.3252</td>\n",
+              "      <td>452600.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>-122.22</td>\n",
+              "      <td>37.86</td>\n",
+              "      <td>21.0</td>\n",
+              "      <td>7099.0</td>\n",
+              "      <td>1106.0</td>\n",
+              "      <td>2401.0</td>\n",
+              "      <td>1138.0</td>\n",
+              "      <td>8.3014</td>\n",
+              "      <td>358500.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>-122.24</td>\n",
+              "      <td>37.85</td>\n",
+              "      <td>52.0</td>\n",
+              "      <td>1467.0</td>\n",
+              "      <td>190.0</td>\n",
+              "      <td>496.0</td>\n",
+              "      <td>177.0</td>\n",
+              "      <td>7.2574</td>\n",
+              "      <td>352100.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>-122.25</td>\n",
+              "      <td>37.85</td>\n",
+              "      <td>52.0</td>\n",
+              "      <td>1274.0</td>\n",
+              "      <td>235.0</td>\n",
+              "      <td>558.0</td>\n",
+              "      <td>219.0</td>\n",
+              "      <td>5.6431</td>\n",
+              "      <td>341300.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>-122.25</td>\n",
+              "      <td>37.85</td>\n",
+              "      <td>52.0</td>\n",
+              "      <td>1627.0</td>\n",
+              "      <td>280.0</td>\n",
+              "      <td>565.0</td>\n",
+              "      <td>259.0</td>\n",
+              "      <td>3.8462</td>\n",
+              "      <td>342200.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
+              "0    -122.23     37.88                41.0        880.0           129.0   \n",
+              "1    -122.22     37.86                21.0       7099.0          1106.0   \n",
+              "2    -122.24     37.85                52.0       1467.0           190.0   \n",
+              "3    -122.25     37.85                52.0       1274.0           235.0   \n",
+              "4    -122.25     37.85                52.0       1627.0           280.0   \n",
+              "\n",
+              "   population  households  median_income  median_house_value ocean_proximity  \n",
+              "0       322.0       126.0         8.3252            452600.0        NEAR BAY  \n",
+              "1      2401.0      1138.0         8.3014            358500.0        NEAR BAY  \n",
+              "2       496.0       177.0         7.2574            352100.0        NEAR BAY  \n",
+              "3       558.0       219.0         5.6431            341300.0        NEAR BAY  \n",
+              "4       565.0       259.0         3.8462            342200.0        NEAR BAY  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 20
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "JrqqZwaDlor4",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "5540f125-08f8-40ed-b5e2-02104d8e496e"
+      },
+      "cell_type": "code",
+      "source": [
+        "housing.shape"
+      ],
+      "execution_count": 21,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(20640, 10)"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 21
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "FfQUF62Zlsje",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 119
+        },
+        "outputId": "bff556cf-e1ad-4498-8c6d-595e22e04d7a"
+      },
+      "cell_type": "code",
+      "source": [
+        "housing['ocean_proximity'].value_counts()"
+      ],
+      "execution_count": 22,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<1H OCEAN     9136\n",
+              "INLAND        6551\n",
+              "NEAR OCEAN    2658\n",
+              "NEAR BAY      2290\n",
+              "ISLAND           5\n",
+              "Name: ocean_proximity, dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 22
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "eoaM4A6upr8l",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 170
+        },
+        "outputId": "f34367a3-b6d8-4b27-8f36-8a9ff2f34068"
+      },
+      "cell_type": "code",
+      "source": [
+        "housing['total_rooms'].describe()"
+      ],
+      "execution_count": 30,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "count    20640.000000\n",
+              "mean      2635.763081\n",
+              "std       2181.615252\n",
+              "min          2.000000\n",
+              "25%       1447.750000\n",
+              "50%       2127.000000\n",
+              "75%       3148.000000\n",
+              "max      39320.000000\n",
+              "Name: total_rooms, dtype: float64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 30
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "5L__OrCNoPbS",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "# df.rename({1: 2, 2: 4}, axis='index')\n",
+        "\n",
+        "housing.rename({'median_house_value': 'house_price'}, axis='columns', inplace=True)"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "6MSw3Egsolj7",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "5767b786-b9c0-4280-b8e7-d6982fa369a6"
+      },
+      "cell_type": "code",
+      "source": [
+        "housing.head()"
+      ],
+      "execution_count": 28,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>longitude</th>\n",
+              "      <th>latitude</th>\n",
+              "      <th>housing_median_age</th>\n",
+              "      <th>total_rooms</th>\n",
+              "      <th>total_bedrooms</th>\n",
+              "      <th>population</th>\n",
+              "      <th>households</th>\n",
+              "      <th>median_income</th>\n",
+              "      <th>house_price</th>\n",
+              "      <th>ocean_proximity</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>-122.23</td>\n",
+              "      <td>37.88</td>\n",
+              "      <td>41.0</td>\n",
+              "      <td>880.0</td>\n",
+              "      <td>129.0</td>\n",
+              "      <td>322.0</td>\n",
+              "      <td>126.0</td>\n",
+              "      <td>8.3252</td>\n",
+              "      <td>452600.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>-122.22</td>\n",
+              "      <td>37.86</td>\n",
+              "      <td>21.0</td>\n",
+              "      <td>7099.0</td>\n",
+              "      <td>1106.0</td>\n",
+              "      <td>2401.0</td>\n",
+              "      <td>1138.0</td>\n",
+              "      <td>8.3014</td>\n",
+              "      <td>358500.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>-122.24</td>\n",
+              "      <td>37.85</td>\n",
+              "      <td>52.0</td>\n",
+              "      <td>1467.0</td>\n",
+              "      <td>190.0</td>\n",
+              "      <td>496.0</td>\n",
+              "      <td>177.0</td>\n",
+              "      <td>7.2574</td>\n",
+              "      <td>352100.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>-122.25</td>\n",
+              "      <td>37.85</td>\n",
+              "      <td>52.0</td>\n",
+              "      <td>1274.0</td>\n",
+              "      <td>235.0</td>\n",
+              "      <td>558.0</td>\n",
+              "      <td>219.0</td>\n",
+              "      <td>5.6431</td>\n",
+              "      <td>341300.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>-122.25</td>\n",
+              "      <td>37.85</td>\n",
+              "      <td>52.0</td>\n",
+              "      <td>1627.0</td>\n",
+              "      <td>280.0</td>\n",
+              "      <td>565.0</td>\n",
+              "      <td>259.0</td>\n",
+              "      <td>3.8462</td>\n",
+              "      <td>342200.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
+              "0    -122.23     37.88                41.0        880.0           129.0   \n",
+              "1    -122.22     37.86                21.0       7099.0          1106.0   \n",
+              "2    -122.24     37.85                52.0       1467.0           190.0   \n",
+              "3    -122.25     37.85                52.0       1274.0           235.0   \n",
+              "4    -122.25     37.85                52.0       1627.0           280.0   \n",
+              "\n",
+              "   population  households  median_income  house_price ocean_proximity  \n",
+              "0       322.0       126.0         8.3252     452600.0        NEAR BAY  \n",
+              "1      2401.0      1138.0         8.3014     358500.0        NEAR BAY  \n",
+              "2       496.0       177.0         7.2574     352100.0        NEAR BAY  \n",
+              "3       558.0       219.0         5.6431     341300.0        NEAR BAY  \n",
+              "4       565.0       259.0         3.8462     342200.0        NEAR BAY  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 28
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "yv5edW10qL13",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "housing_truncated = housing.loc[:1000,:]"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "cyipQEsbqWau",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "aba6f315-7705-4688-f254-3a3788a58a69"
+      },
+      "cell_type": "code",
+      "source": [
+        "housing_truncated.head()"
+      ],
+      "execution_count": 33,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>longitude</th>\n",
+              "      <th>latitude</th>\n",
+              "      <th>housing_median_age</th>\n",
+              "      <th>total_rooms</th>\n",
+              "      <th>total_bedrooms</th>\n",
+              "      <th>population</th>\n",
+              "      <th>households</th>\n",
+              "      <th>median_income</th>\n",
+              "      <th>house_price</th>\n",
+              "      <th>ocean_proximity</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>-122.23</td>\n",
+              "      <td>37.88</td>\n",
+              "      <td>41.0</td>\n",
+              "      <td>880.0</td>\n",
+              "      <td>129.0</td>\n",
+              "      <td>322.0</td>\n",
+              "      <td>126.0</td>\n",
+              "      <td>8.3252</td>\n",
+              "      <td>452600.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>-122.22</td>\n",
+              "      <td>37.86</td>\n",
+              "      <td>21.0</td>\n",
+              "      <td>7099.0</td>\n",
+              "      <td>1106.0</td>\n",
+              "      <td>2401.0</td>\n",
+              "      <td>1138.0</td>\n",
+              "      <td>8.3014</td>\n",
+              "      <td>358500.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>-122.24</td>\n",
+              "      <td>37.85</td>\n",
+              "      <td>52.0</td>\n",
+              "      <td>1467.0</td>\n",
+              "      <td>190.0</td>\n",
+              "      <td>496.0</td>\n",
+              "      <td>177.0</td>\n",
+              "      <td>7.2574</td>\n",
+              "      <td>352100.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>-122.25</td>\n",
+              "      <td>37.85</td>\n",
+              "      <td>52.0</td>\n",
+              "      <td>1274.0</td>\n",
+              "      <td>235.0</td>\n",
+              "      <td>558.0</td>\n",
+              "      <td>219.0</td>\n",
+              "      <td>5.6431</td>\n",
+              "      <td>341300.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>-122.25</td>\n",
+              "      <td>37.85</td>\n",
+              "      <td>52.0</td>\n",
+              "      <td>1627.0</td>\n",
+              "      <td>280.0</td>\n",
+              "      <td>565.0</td>\n",
+              "      <td>259.0</td>\n",
+              "      <td>3.8462</td>\n",
+              "      <td>342200.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
+              "0    -122.23     37.88                41.0        880.0           129.0   \n",
+              "1    -122.22     37.86                21.0       7099.0          1106.0   \n",
+              "2    -122.24     37.85                52.0       1467.0           190.0   \n",
+              "3    -122.25     37.85                52.0       1274.0           235.0   \n",
+              "4    -122.25     37.85                52.0       1627.0           280.0   \n",
+              "\n",
+              "   population  households  median_income  house_price ocean_proximity  \n",
+              "0       322.0       126.0         8.3252     452600.0        NEAR BAY  \n",
+              "1      2401.0      1138.0         8.3014     358500.0        NEAR BAY  \n",
+              "2       496.0       177.0         7.2574     352100.0        NEAR BAY  \n",
+              "3       558.0       219.0         5.6431     341300.0        NEAR BAY  \n",
+              "4       565.0       259.0         3.8462     342200.0        NEAR BAY  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 33
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "dEt4tY-GqaRA",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 224
+        },
+        "outputId": "374d8239-4014-4d25-c14b-55b4b603920f"
+      },
+      "cell_type": "code",
+      "source": [
+        "housing_truncated.sample(5)"
+      ],
+      "execution_count": 34,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>longitude</th>\n",
+              "      <th>latitude</th>\n",
+              "      <th>housing_median_age</th>\n",
+              "      <th>total_rooms</th>\n",
+              "      <th>total_bedrooms</th>\n",
+              "      <th>population</th>\n",
+              "      <th>households</th>\n",
+              "      <th>median_income</th>\n",
+              "      <th>house_price</th>\n",
+              "      <th>ocean_proximity</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>346</th>\n",
+              "      <td>-122.17</td>\n",
+              "      <td>37.76</td>\n",
+              "      <td>33.0</td>\n",
+              "      <td>1280.0</td>\n",
+              "      <td>307.0</td>\n",
+              "      <td>999.0</td>\n",
+              "      <td>286.0</td>\n",
+              "      <td>2.5625</td>\n",
+              "      <td>89300.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>737</th>\n",
+              "      <td>-122.13</td>\n",
+              "      <td>37.67</td>\n",
+              "      <td>38.0</td>\n",
+              "      <td>2012.0</td>\n",
+              "      <td>347.0</td>\n",
+              "      <td>880.0</td>\n",
+              "      <td>332.0</td>\n",
+              "      <td>3.1734</td>\n",
+              "      <td>181600.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>391</th>\n",
+              "      <td>-122.30</td>\n",
+              "      <td>37.90</td>\n",
+              "      <td>15.0</td>\n",
+              "      <td>5083.0</td>\n",
+              "      <td>1212.0</td>\n",
+              "      <td>2420.0</td>\n",
+              "      <td>1146.0</td>\n",
+              "      <td>4.5824</td>\n",
+              "      <td>256100.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>412</th>\n",
+              "      <td>-122.28</td>\n",
+              "      <td>37.89</td>\n",
+              "      <td>52.0</td>\n",
+              "      <td>2315.0</td>\n",
+              "      <td>408.0</td>\n",
+              "      <td>835.0</td>\n",
+              "      <td>369.0</td>\n",
+              "      <td>4.5893</td>\n",
+              "      <td>290100.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>240</th>\n",
+              "      <td>-122.21</td>\n",
+              "      <td>37.78</td>\n",
+              "      <td>46.0</td>\n",
+              "      <td>2239.0</td>\n",
+              "      <td>508.0</td>\n",
+              "      <td>1390.0</td>\n",
+              "      <td>569.0</td>\n",
+              "      <td>2.7352</td>\n",
+              "      <td>137300.0</td>\n",
+              "      <td>NEAR BAY</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "     longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
+              "346    -122.17     37.76                33.0       1280.0           307.0   \n",
+              "737    -122.13     37.67                38.0       2012.0           347.0   \n",
+              "391    -122.30     37.90                15.0       5083.0          1212.0   \n",
+              "412    -122.28     37.89                52.0       2315.0           408.0   \n",
+              "240    -122.21     37.78                46.0       2239.0           508.0   \n",
+              "\n",
+              "     population  households  median_income  house_price ocean_proximity  \n",
+              "346       999.0       286.0         2.5625      89300.0        NEAR BAY  \n",
+              "737       880.0       332.0         3.1734     181600.0        NEAR BAY  \n",
+              "391      2420.0      1146.0         4.5824     256100.0        NEAR BAY  \n",
+              "412       835.0       369.0         4.5893     290100.0        NEAR BAY  \n",
+              "240      1390.0       569.0         2.7352     137300.0        NEAR BAY  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 34
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "7EupXaQ3nc8N",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 746
+        },
+        "outputId": "332ac2e5-197a-42c1-94d4-734ab086e89e"
+      },
+      "cell_type": "code",
+      "source": [
+        "# sns.pairplot(iris, vars=[\"sepal_width\", \"sepal_length\"])\n",
+        "\n",
+        "sns.pairplot(housing_truncated, vars=['house_price', 'median_income', 'population', 'total_rooms'])"
+      ],
+      "execution_count": 41,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<seaborn.axisgrid.PairGrid at 0x7f1d967f1278>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 41
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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GONANYSXrVbfoyFinJhC2PF5nj5PNRYdZNrWAnHRXvU5b3WKmmkCYu0b1SYiw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\n0GV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l4NpVW/iflz/jrh9/h7/+7Hs8NXssALdt+BeT7v8nP7zvLX7z3Cc4bDa8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\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1d967f1ac8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "KirK-2I0rHjD",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 386
+        },
+        "outputId": "4b3573af-919d-4fd0-d48b-abaa0acdea18"
+      },
+      "cell_type": "code",
+      "source": [
+        "# sns.relplot(x=\"total_bill\", y=\"tip\", hue=\"day\", data=tips)\n",
+        "\n",
+        "sns.relplot(x=\"median_income\", y=\"house_price\", hue=\"ocean_proximity\", data=housing_truncated)"
+      ],
+      "execution_count": 42,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<seaborn.axisgrid.FacetGrid at 0x7f1d96272390>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 42
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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UegKY9BqM2lOzRq7a5cPmDuAPhUkz6+WMy/atDfXfS6eCbClKzaLSU8m0j6bh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WLnoeWH2Xq6jvgQLS9e152u8cGolVLdRYmfheR9+jvjckefbufH31RXXKS/CNz5I2N9AHxwkfZc\nznOMP6+9/mJz/BLUtTqoszhQyWWYglQBeXETe8SxdF8pU3snMLV3AnUWJ+lRBqxOtz9aUq9RoNe0\n/9N4vSJ1Fge1rQ50KgVRRjWDU8O585MDAf1eWX+ar+cO4v6RabyxuQCn28vYrGhykkMQHWZGNC1H\nue5FlIARGDP0CY71GcqivVWE69XklTdR1mglt6TJ7yLjcHt5a8sZFs7sTYRBTW2rg92F9VzbK55v\nj1WxNq8K8DnGLNpZxMjMKF7dWU/O1Pkom4uQ15TjTusXIIgAra5WPIr2oi+EpOBR6alptrH1dB0G\ntYKc5NAfTamIMmp4dWoPHG4vguAzOhAE6fNMQkLi/4Zk7XGJqW6xM2XBLr+x9rC0CF64vpt/Ky8j\n2sB7M3rRaHVx7du7cHtFlHKBN6f1Ylh6OEr5j69sShqtTH5zJ/VtZ2XX5cQzJC2CVkdgQInD7UUu\nyJjSO4FhGZE4XB4MGgWNFhezcsLQLngtoL9u57+46cZrCDcFs+JAGa9tLOCBUWnsKaxrdw9HK5pJ\nDguittVBWpSBY+Ut7Ciob9dvz9l6/vmHbMqdIo9/60WliGGu0Un3iO4cqj3k79cnug+iEAShHXzn\njwCmJOg6hfImG1e9sg1Lmw1cUlgQy+cM+FFhlNIuJCQkfi5SkeFLiNvj5cOdRQGVJjbn13Ki8lwQ\niClIRVa8ib9/fdyfUO/yiDy0/DCNlosn6gO02l3M//q4XxABPs8tQ/TCqMzAbJM+KaGIiJyobEGv\nkvPXr44x6c2dRAWrsTvd4GmbR2PC3W06TZPfQxmqoGtqLVf10PLC9RlM6hnP4NTAczqArnHBnK2z\nMCwtgphgDQu2FdIrKaRdvx4JITz//UliTVoGpUbQYnNhVJl4oPt8JnSYREpwCpM7Xcdf+87n7s+K\nyR+3nNrJX1A7aTmW6d/g1Eby1pYzfkEEKK63svdsewGWkJCQuFRIK8VLiMPt5VR1a7v20zVmBqWe\nS/fweERabIGru0ar6yeNqh0uL2frLizmDUX1Fu4c3olOkXp2FtTTM9HEVV1jmfLObjpG6PjHxCzu\nHNGRMJ0at0dkb7mdsZ3GIHpcVA5/kUMNbmqcO3n5y/GArwDw80Ne4miZlv4dwrgqO4Z1RytRK2Tc\nPSKV5HAdS27rh1Yl5y9fHmXXmXrmDOnANd1jWX24AqVcxs0DkkkJ13F9TiILthYyJSeBKztH8sL3\n+Rwrb2ZyzkSmxl9PbYuAwqMhOVTL1Qvz27Y85SycaSBeFGmytv+S0GyT0iwkJCQuH9JK8RKiUyu4\ntld8QJsg+LZQz0ejlJEdFxzQ1iPB1C45/3yCg5RM6BbbbpzUKD2hOhWDOobx7OSutNjd3PTenrYz\nvwa+OFDOmsOVvLm5AKNGSY/0ZDwTXqN27DuMff8UseEK3jj8sn9Mj+hh/t6/ERvu4ZEvjvD4uM5s\nvH8YG+YNpX/HMK56dStjXtnG6xtP+1Ml5nx8gA4RepbO7s839w5BrZBR1mhj39l6ZIJArdlBtFFD\nZZONFrubhdsrEKxeboqqJm7TPOaHrGbznAz0ajmju0RzptaM2+PlT0M6BDxfrVLO8PRfJpdUQkLi\n94kkipeYfh3CeOLqTOJDtKRHGVg0q4/fxuwHwvRq3pnei9FdogjXqxibFc2bN/X0B+Q43R5qWuxU\nNNmob8thVMpl3NQvkduHdSTKqKZ7gokFN/Vi2b5SNp+qJUit5NvjVXy+vyzAwu1YRQtdYo3MGdqR\nWrODkxUtFNu0fF9gxuxwg+DB5Q1ckTXYGzAFKXnp+u4APPD5YQrrLMxcuBeLw4vHK7LqcCXXdI9j\nREYEmbFGFmw5w/L9ZewrauC1jQXEmjTcNrgDMgH+uCiXymYbE3v4zIb6dwxlrO4UYZ9PhKMr0Ox8\ngZjPr+bLmWkEqeTMXXoIm8tDaqSeL+4YwOguUVzbK4519wwm3CCdG0pISFw+pO3TS4xJq2R81xhG\ndYlCLghEB1+8kkOMScvz13XD5vSgVcn9dQGtTjc7Cup5cPlhmqwusuOCWTC9F7EmLaE6NaMzo+gS\nY6TO4uSZb07SKUKPV4TEUC3dE0zt5unfIYyc5BBeWp/Pn4Z0JDXayOsbT5MebQCgqslDqimV002n\n/dcMjR/G5hNNHCiuIiRIxf7iRtQKecCWr0Iu0GR1csvAFM7WW3nu2q6cqTFz16cHmdE/Ca1SToRB\nzayBKf7HHSL0qOQyOgc7Me27wJ+9uRRz5WmW7nMSoVcjIKDXKOmZGMJLU7ojFwTUSjlmu4vaVicN\nFicRBjUhQUpUCintQkJC4tIgieIlxO3xcrKqlbuXHORsnYUeCSZeu7EH8SFBF+1v0CjbFcltsbm5\n45P9fqu3vPJmnlh1jBev74ZBo8SoVXLXmzsBSA4LwunxcmVmJDanl6Plzfx5bAZvbC7A5vQwsUcc\nXeKMWBxumm0uWh0utubXsnx/GcvnDCDKqOZfa8t5edqLfHL6LU42HKd3VH9md72NG946yh96xmNz\nuvlwVm/C9Cqy4owcLfcFDf1tQhYLthay84wv8EUuE1h8Sx9W3z2QDSdqsLs9HChp4tlvTmJxuJna\nJ4Hh6ZHcOrgDXksDHGwfQSrKVchw8uzkbMLOS2P5IVXF4nDzxYFynlx9DK/oS9r/9La+dE9oH+gj\nISEh8d8gieIlpMHq5OYP9vojRA+WNnHv0kO8OyOHkPM+5GtbHeSVNdFgdTGwUxjhepU/FaPO7Ajw\nPu0YoSc5LAh3m11bmF7FE1d3JilMT6vdRW2rgyiDBq1KTrPNiVoh54Obe2MKUmJzeliWW8JV2XEU\n1VlJjzKwcEcRXhEeXZnHwpm92VfUyJ7THm7v8jCF9Q1sPtnKytwmOkUZ0ChlpEWFcN+yw+jVCt64\nsQevbjzNiYpW4kO0fkEEn63ac9+cZHLPeN7bVshV2THc8O5uPG3BQ0+uOk70TRp0ajnhweFw5ZM+\ng3CxzdMhuiva8CS+uMOEUi5gc3nQXZCg32p387c1x/khHsnq9PDA50dYOrsf4ZJ7jYSExCVAEsVL\niNXhCUiZAMgtbsTlOVeTsLbVwbT3dpNf7bNhC1LJ+fruwaRE+IJWwvVqlHIBl0fksXGdiTNp+eZo\nFR/tLmZq70QijRrGZsVwz9KD7Dnrq5msVclRyWUs3FFEkErOvSNTkQkq4kxausWbSAzVEqpTUdPi\n4OpusXyyp4STVa28vqmAvilhbC+o48Xv83G4ffc5tXcCwVolOcmh3PDObhxuLw0WJ7d8mMvDY9J5\nZGwGDRdJH2mxu9GpFSyb058t+bV+QfyBZbllNFldDEoNJz6mG9y5D45/BWEd8CYOpKRVxcLtpxiW\nHkl8aBDxIdoAsbO5PO0idIvqLHgvoyuThITE7wsp0OYSolXJ0akCz7cyog3IZOecVY5VNPsFEXyr\nnZc35FPVYqOs0YpcBu9Mz2F0lyiClHLuXXqIr/MqefH708xbdpiSegtnai1+QcyOC0ajlPPg8iMU\n1/sE4pEVeTTbXFidbvqkhKFWyHh/Zg5qpYxDpU08NaELSWFBlDXayEkKYUdBnV8QBQGm9U2k0eLA\n6nD728En6E+uOo7V4SHWpCU2ODCAaOaAZAanhWPUKIkLaX+WGhusYX9JIzMX7qPOoYDwTjDkfujy\nB2q8RpbsKWVYeiT/+u4UN767m5e+y6eu9ZxZuk4tJ8oYuCIc1SU6wBxcQkJC4ucgrRQvIUq5wPPX\ndePhFUdosbuJNmr413XdMGoU1LTYqTM7qDe3r9zQbHXxye4SXttYwJC0CF68rhuZsV04U2th0S29\nUcll5Feb0ShlPPblUab3T/JfO6BjGGvzKpk5IJlxXWPYX9RIcrgOmSCgUsjZkl/L2ToLU3onsOlU\nLa9vLOCKzpHcc0UqgiBQ1WJn+ZwBvLQ+H49X5JaBKew928C0vkmkhOtQK2QBwtgz0USYXs3iXUW8\nOa0ny/eXUdpoY3SXKAZ2CifSoKGo3tJmyxZCbpFPvKOMaq7tFc9N7+/F7HAHRMgClDZamNQznusW\n7MLjFYkP0dLqcLMlv4ZrusehkMsI16lZOrs/j67MI7+qlWEZkTw8Jr3duayEhITEf4skipcQq9PD\nV4creHt6L+SCgMXpYeG2Qu6+MpVJb+6kxe5m+Zz+6NUKXzpEG9fmxPPmpjMAbM2vZWdhHTlJoTz6\nRZ7fHWdkZhSPjM3gweVH+Ocfsv3+ow0WJwM6hBGmV3P9gl38sJM4LjuG63PieXD5EQC2F9Rxy8AU\nADacqGFDm6fpBzfnYHN5uCorBgSQyQSabC7u+PQAG+YNZdVdg2i1u/CKsLuwnsGp4ZTUW9h2uo6P\nd5dwVXYMWXHBrDhQjkYpx6RVIgC3f3KAl6d0xxSkpKrZjkGj5NGVRzE73ASp5KgUgZsUcaYgNp+q\nweMVefSqzqSE69iSX0ur3U29xUmUUYNMJpASruOtaT1xur3o1Ip2544SEhISPwfpE+US4hXhm6NV\nfHO0yt9275Wp/OubfBrb3Fle+C6fD2/pw5I9xTRYXdzYN5HjFS0cP88Kzu7y8sGOswF2cU1WJ2qF\njBW3+ypTLLm1L4t2FVHb4mBklyhmfrCP84/Wvs6r5NbBKQgCiCIcKWsmOTyIvikh/q3X/h3CiDJq\nGPfa9oDnsWR2P6bkxAMC9312iOOVLagVMh4Zm8G+sw0YNArGd43h2W9OsSzXV/FDKRd4ZlI2jVYn\nRq2SjGgDMz7Yy5guUUzuFc/MhXt9nqwygfl/yCJYG7i606kVdI4xMjIzCqVc4LbF56qVrD5SyTsz\nehGm822dmiSPUwkJicuEJIqXEJ1KTvcEE4dKm/xtfZJD2Xhe5fjtBXWcrGph4cw+dIjQcabGzK3f\n5weM0y0+mNWHK/yP06MMzBuZzsQ3dlBn9onj36/pwtC0CA6XNVPVbKfF3j7wxen2IhcEooI1pEcb\niNSreWZyV3/V+lCdive2Fba7bs3hCh4Zk8FfvjrqF2uH28tTq4/zxe0+Q25BgOHpkew528B3x6qY\nPaQDKrmMeouDmGAtr97Qg82najhQ3EScScumB4ZR1+og0qjGoFG2c+8J1iqJD9Fy2+AU5i07HPC7\n/cWNtNjcflGUkJCQuFxIoniJ8HpF9GoFi2f1ZmluKQdLmpjYI46s2GCu6xXPkbJmf99Wu5sIgwqd\nWkFCqJbHx3XmtY0FANw1ohOxJi1/6BHHttO+KhU3D0hi/trj1LWdRzrcXh7/8hhLZvfj9Y0FVLfY\nua5XAm9tOeOfo0O4DrdX5O8TuxCuV3O0vIXCOguVzXae+OoYHlHkkTHpJIa2z6HsGKHD6vIEiPsP\nKOQCp2ta+cuXx6gzO7hzWEfeuKErHmSsy6siPjSIE1UtJIYGcXW3GK7sHEVhnYWHlh9Br5Zz5/BO\nGLUXPwOMMGh+1P/1ctb9lJCQkPgBSRQvAZXNNpbsLaGs0cb1OQlM7B7HzQOSUbc5rYzvGusvxBth\nUPPX8ZkYNAoKa80s2lFE9wQTa+cOQtlWf1GlkDE8PZIHR6ezeFcRHSP15FeZA+Z0erz+3MWVB8p5\n/cae/HV8JvuKGpjQLYZu8SYQYO/ZBv78xVH/dbcNTmHV3QP5eHcJ89eeYMuDI/hodwlnan3jp4Tr\nGN0lmsomG/06hAVs4SrkAmE6Nde9vYv4EC0b/5SB6dRStN8V4e01i17Rcdz86RE8XpE5wzoyOjOK\nonorMz7Y6x/j+xM1rJ83lJTwi7/1IvVq7hrRiUdW5PnbeiSa2m23SkhISFwOBOkb+DlycnLE3Nzc\nf9/xPKqa7Ux+ayflTTbAl9KwfE5/4kxBgEiQSoFRq8Tt8dJkdaJoE74zNWZGv7zVvzIKUsn5/r6h\nKOUCMkEgVKfC7RVptrmwuzw8ufqYPzgGwBSk5MNZfbjmjR3+tk9v7UPHCD1mh4cGixODRsHEN3dg\nd52LHlXKBT69tR/7ihposbu4sU8iHhEKaswo5ALJYUGUNVhRyuUEBynJr26l0epiT2EdY7NiiA8J\nYtJbO/nm1gwyvp4EjUX+sZsmLGJObjS7CxsAWDizN/uLG3h907kVLPjOWe+9Mu1HX9Mmq5PTNWZW\n7EmPtRkAACAASURBVC+jW4KJkZlRUnK+xP8vpErVvzOkleLP5GydxS+IAI+MyWDnmXre3LQXu9vD\n2Kxo/n5NFmF6NeEGX16f2+tl4Y6zAVuFVqeHlQfLOF7ZytHyZv4yvjNJoTrkMl/S++PjOuPximw7\nXUdqpJ5nJ3cl2qjmxeu7cabWzOSe8WiVMtbmVfH21jN4vCK3DenAUxO68PB5qy63V0QQ4PnvTrHq\nrkEIgsCM93djdXgQBFgwPYe/f32Ct6b1pKrFwZK9JZgdbm4ZmEKYToUpSEmkQU2osyJAEAFMua9w\nc7fXSYsykBZloM7soFtCYDUQgOgL8hsvxBSkondyKL2TQ/+bP4mEhITEf42UvP8zUcjPfZEMCVKS\nGWvkhe/ysbk8iCKszati+f4yPOe52giAUtH+pReBZpuTkgYrsz/aj1wGTVY3N/ZN5N2thcwckMy3\n9w7m9mEd+etXR/nXt/l0TzAxoVss3xytorjexlNrjlPd4qDO7OTptScJ1ipJjzL45xiVGcWhkiYm\ndItDo5Tx6Z5ialoc1Fuc1JmdCEBZow2vCDd/sJfdhQ0cLW9h3rLDONxeTle3Mm9kKvqgiwibTMGA\nThHYXV4W7SziQEkjWXEmOsecmz8pLIjh6ZGX4qWXkJCQuORIK8WfSWJoEGlRevKrzaSE6zla3tyu\nz+b8Wm7ok4hR6xNCuUzGLQNT+GxfKVbnuUjQwZ3CeXWDr1qFKILLI/LR7iJaHW56JZrQqRVc+eJW\n/7iVzXZmDEji2rd2MaJzJHVmR7u5vztezV+vzmTxriJykkLpGh+MQi5Q3erg4RV59Eg08fGtffnT\nR/sZ2DGM45UtPD0pmwMlje2CXpbsK2Vq7wSy4kzUuEWSo7Kguu28UhBwDvsLz26p8adpFNSYOVtn\n4Y0be3KquhWFTEakQc07WwuZ3i+JhBAtcrn0vUxCQuLXgySKP5Moo4bFt/RlS34NdWYHgzqF8yyn\nAvoM7BhGkDowBSE6WM36eUPZXVhPWpQBo0ZBQY2ZDuF6TlW30jU+mNM1Zr48VIFcJnD/yDT2tbnD\n/MCYrGje334Wp8dLRZON0ZlR7e6vU4SeThE6npqQxbJ9xRTWmvnueA2bTvnOJ/cXN3K62swnf+yL\nCFS32DlR2UJ2fDAvXu9z5/nBoDw2WEN6lIHvjlfz7rZCPr3hY+Ib9+CqPY0l9Rrs2mg+3bsvYP7d\nhQ2oFDK0CjlPrj7mD9xZtq+U9fcPJcr401upEhISEr8k0tf0S0B0sIYpvRO5c3gqCaFB3D8qDXXb\n9uiw9Aim9klEIQt8qZVyOVEGNWlRBuZ8vJ8h/9rM0+tO8vLU7lyVFc2UnAT2FTUQEqTE4xW5Z+mh\ndudzMkHwJ+wfKWumW4KJQZ3C/b/vmWiiV3II9RYXNS1WJvVKYECncL8g/sCW/FpUChnbTtcya9E+\nnvv2FNPf30tuUQN3DOsEQIRBzYz+yXyeW8qh0iYqm+28uLORD819uKdqLKM+qqLELGvn/apXK5AJ\nAgW15oCVZ6vDTV5Z+1W1hISExP9PpOjT8/hvok8vhtXhptXuxiuKaFXyAAeWJqsTEQgJUlHTYmfc\nq9upPW/bs3OMgTen9SRI5bOCq211EGfScqqqhXqLk7N1Ft7ddhaPV2REeiT3j0pjwhs78HhFZg1M\nZnSXaFRyGSJQ2mBlwdYzvHZDD7RKOX9bc5yZA1K4ZdG+AO9RjVLG+nlDGf3SVizOc+0yATbcP5Rj\nFS2khOnYXVjP0YoWhqVHcM/SQwxLi6B7oomX1/u2fCf3jKNLbDB/W3PcP8azk7vi8XrZeaae63MS\n+P54NR/tLgZgxe396ZUkBdNI/KqRok9/Z0jbp5eBILWCoAs8Oc12N0crmnn+21N4RV9aQmJoUIAg\ngq9Yr1wm8MnuYl5tS+gPUsl5/+YcUqMM9E4OZWRmNF5RpKzRxsqD5aydO4iPdhWjUcqJN2lZfqCM\n9cerSYnQMX9iNvsK6+mdEkaLzU1uUQNzr+jEs9+c2+K954o0lDKBCIMay3l5iV4RGi0uPth+lhev\n787wjEiy4oJJCdcxo38Sn+eWcu/INJbtK6Wi2c6KA+U+z9IHh3G2zkJKuI5l+0p5Y7MvJePrvEoW\n39KHDSeqiTZpSArTXa4/gYSEhMR/hbRSPI9LtVK8GPnVrYx+eWuAP+nWB4cx8c2dNFicxIdoeeG6\nbhTWWrC7PXRPMPHO1kLWtfmodosP5ulJ2Xi8cPXrgV6lH8zM4WhZMyeqWtl2upYhaRFMyUnA7HDz\n5KrjLJvTFwEZa45UYtQquLJzJE1WN7sK6+gcY+RwaRNfHCjnheu6MeG8vMdh6RE8Pq4zpQ02Xlqf\nj04l56Up3YkO1mJxuDE73MhlAl6vyNGKFkRRpGt8MBFtqSeLdpzlydXHA+51Us847hjWEVOQSso9\nlPgtIK0Uf2dIK8VfiOX7y7jw+8e3x6p5+6ae3PnJQZ6d3JVHVx71O8uoFTIWzepDXnkzZY02Shtt\nuD0iGpWcMVnRftNxuUxAEASGZ0TiEX15iMPSI0EQeGdrIS9P6YbZ7uXat7f7S0At3FHEq1N78MWB\nckobT9Ni81XscHi8PDMpmw0na+iVFEL/DmFcv2AX1/VK4K/jMzlTa8Hs8NBqd2HQKAMqVIy4SMDM\nhatlAKNGSXKYDoUUdSohIfErRBLFX4jksPYeo2aHm/JGK6vuGsjxyha/IILP33TRziKu7hrLW1vO\nMLpLFF8cLGfWgGRuH9qR6f2SqGq20z3BxJb8GnKLHEzqEc+YrGhsTt+Z5pMTuhBn0vK3NccDaiKe\nrbOQX92Ky+P1CyKA1enG7fUyvmsMaoWMf3x9nMGpEcSatFz79i5/v/kTsxjVJQqZIKBVyrE4fSvG\nIJUiwOh7WFoEMcEaKpvtABjUCm4dlCIJooSExK8WSRR/IUZmRvHetrM0WJ3MGpDMgE7hhOtV/GPN\ncYZnRGF3e9pdY3W6CdWrmNE/ibFZMdyyaB8jO0ey4WQN5U02qprtpEV1wWx3kxEdzNk6CxtO1rBk\nb6l/jA33D/HnQp6PRxT93qwACaFa9CoFg1Mj+Hh3EZ1jgrn3yjS8osidnxwIuHb+2hN0itTz1Orj\n/GV8Z/YXNxGsVdIz0URciNYfWBRp1PDVXQPZVVCP1eVheHok4Xqp7JOEhMSvF0kUfyEiDBo+va0v\nDreXZ9ed5NWNBcQEa3hqQhcEICcplGCtkmbbuRJQfxyUgscrcrbWwm2L9/HctdlYnB6abS76pISS\nFmXg/e3FRBnV3PvZITY/MIzbLxCwV9YXMHtIh4DyVUaNgv4dwugQrmNZbinJ4TomdIvF4nCz9kgF\nN/VLJs6kxe720mhx0mJ3B4xpdXoQBIHjlS3MWrSPT2/tx+S3dzJ7cAem9kkMiLaNNGi4pkfc5XlR\nJSQkJC4xkij+ghg1SuavPcHatvPAskYbt398gK0PDSfCoObruYN4d2shNa0Obh2cQpxJyxOrjvP9\n8SruGt6JE5WtvNkWybniQDkjMiK5PieejhF6xneNQcSXu+gzjPPxdV4l912ZytLZ/fhoVxEhQSpu\nG9KBJXuL2XyqjlemdudYRTPT3t1DcYMv8nTr6ToWTumAXnSilct5YmwHnlp3ru5iTlIIBTWtgK8g\nckWzjXCdmiV7S5jYPfYXeS0lJCQkLgeSKF4iRFGk2erC6vIgl/kC1uQyUCvkGDS+skdmp5vNp2oD\nrnN6vJQ2WlHKBZbnlmIKUtEzKYTE0CBkCDw0Oo0/j80AYMwr5yze5DKBxBAt2XEm3F5v2/mgk+n9\nknhv+1l/v0k94/jqcAVfHapgREYkU3snUN1io9HionuCCb1aQU2rg2ev7Up1i50V+8t5ZmQ4mmU3\nQPl+5CodN495lqSp/Xl2UwU9Ek1cn5PAHeetSKOMGlrsLkxBSrQq6S0lISHx20X6BLsE2F0eCmpa\naba5eXLVMQpqzQxJjeDeK1NZuq+EB0alE2HQoFXKyYw1BFTVAIg2anhi1THWHKn0t2XHBfPg6HRq\nWu10CNdj0CiQC+eiw1+8rhuFdRZGv7wVuUxgztAOjMz0iV6vpBB2FdaTkxRCTnIon+4ppl+HUCZ2\nj8Xp9qKUy5k1IBmTTonHC/vONvDMupN0izfx9pQMIrY+BuX7fRM5LchW303Onw5w2+AUuiWYuG1x\nLlUtdgQBbhmYwv7iRhxuL/ddmUaITqp7KCEh8dtFEsVLQJPVhcXh4fZP9vujObfk16KUC3RLMPHC\nd/k8cXUmBo2Sv47vwqkqMyUNvtXhw2MyUMoF1uZVBoyZV96MViXngc+P8PCYdK7MiGTWwBRe31RA\nl1gjggCvtJmHzxyQTN+UMAprraRG6dEoZdSZHbyx6QwlDXnMHJDEXcM7sfJgOR0i9FQ22+iZGMLB\nk81sL6jl+xM1jMyM4k9DOlDf2EBU2Z7AJyiKOKoLeP47OdHBGv4xMRuVQkasSYPZ7mZLfi3r7hlM\npEFNsFYKpJGQkPjtIoniJaCs0XcWd356A8C203XM6J/Mx7uLmTcyDa1KQUJoECtu74/V6WnbWlVg\ncboxBalosDj916rOS1v4dG8JOckhXN01hv4dw2iwONh40rcNOyYrmvRoA5Pf3unPg3zy6kxSwnSs\nzfOdXVa22KltdaBVyYkzaXF5vDy1+jhzhnZke0EdWqWcO4Z1ZOo7u/lj32g6JQxC1XDuDBFBhj42\nnWbbcapa7Mz+KJeP/9iXOJMWQRDIiDFejpdVQkJC4hdHEsVLQHSwhpoWB0q54K8oAdA5xkhJg5XM\nGGNA/t4Pji8/oFLIeGpCF+YuPegXtjnDOrCubfV4+9COBKkUNNlc2JxuWmxuuieYWHmwnKm9E7jv\ns0MBxgBPrzvJt/cNYUx2DG6Pl4MlTUx5ZzcOt5ersqO5Z0Qq6dEGlHKBjGjfva0/UYPD7eXj/TXc\ncMs8ElqK4OxW0IbA+JeQ60LY9MAwmm0uQoJ8xYYFQTL7kJCQ+N9CEsVLQLBWSX51K38Zn8n8r0/g\ncHuJMKh5ZGwGr288zT//0BWj9sfP2mxODzHBGtbNHUxBjZlYk5ZdhfW8trOAST3jcHq83P3pQR4b\n15lbF+9HEGDpbf0Y1CkMrUpOo9UVMJ7D7aXJ6uRQaRNPrT4eIJiZMUaUChkCsPNMPU9d04XXN55G\n2ybaLXY3kz86w5+H/5Nhow2YdBoEbSgqhYpoIDpYexleQQkJCYlfB5L36Xn8HO9Ts8ONxeHC7RGx\nu7yoFTJaHW7cHi/xIVpCdIE+n2a7m6oWG6sPV5ISriPKqOFgSSMjOkeiUyk4WdVKQU0r47vGMu7V\nbYzrGoPd5WXlwXIATEFK/jahCz2TQnh85VE255+Lau0aH8wbN/YAYNJbu6ht9ZmO69Ry1s0dzJhX\ntvkT+rvGBfPKDT1QyQUmvrHTb1BuUCtYe89gEkLbO/FISPyOkLZDfmdIK8VLhF6tQK9WUG92MOfj\nA+SVn6sVOL5rDE9PyvanZgAcKm1i+gd7/Ku4ERkRPHZVZyqbHVhUHlIj9ew6U0dlsw2by0O92Unn\nGIP/+iari7lLD/HM5Gz+OSmb1zcWsLeogW7xwdxzRSq1rU5kMlh110A2nqihotnG9P5JrD1SFeBw\nc6S8mTc3FfDQ6DTemdGLfUWNuDxeBnYMY/2Jam7ok+jf+jXbXdhcHgQEwg2SmbeEhMT/HpIoXmKs\nTk+AIAKszavkL+Mz/aLYYHby3Lcn/YKokAncOTyVOz45yKlqX1J8r6QQ7rsyjc2napnYI44vD5Zz\n+7COrDpcydk6CwBZcUZ6JoZQVGdBJsAfB6bQp0Mof/wwl9M1Ph/V7gnBvHdzb39FCu0FRYABIg1q\nztZbmfrObnomhqCUy3h5fT5RRg0jM6MwaZXYXV6eWn2Mb45VkRASxHPXdiU7Lhi5XKTR3ojdbUej\n0BCiDkEhl95WEhISv02kT69LjFIutAu4CQlScX5MioiIy3POoHt81xh2nqnzCyLA/uJGztZZ2FfU\nwL1XppEZY2TJnhLemtYTu9uDTBAwapS+frVmPt5TwqSecZysbvULIsCh0mYOlTYxLC2CeouTHokm\nIg1qatq2VINUcqb0SQR89RNzixv912ZEG1i+v4zOMQa2nKpjdVseZWGdhWnv7WHHI8OotBVw54Y7\naXQ0EqwO5rXhr5EdkY1CJr21JCQkfntI5QouMQaNknuvTPM/FgR4akIXQs7zAw3VqbhzWCcABqeG\nM/eKVM7UWNqNVdxgYUrvBLyiCKLIhO6xhOqVzPvsEDe9t4dhz2/m0ZV5XNklmgi9mlCdiqpmW7tx\niuoslDdaqWyy8cH2s3z2p/788w9ZPHZVBl/PHUxMsAaTVskjYzP8bjzxIVoeGJ3OstxSbE4vm07V\nBIzpcHuxuJuZt2UejQ6fkDY7mrlv83002hvb3YOEhITEbwHp6/wlRqdWcFPfRMZkRVNYayEj2kBI\nkArleXmHgiAwODWcNXcPRKdScM9nh5g9uANfHioPGOvKzlGY7W6mv7/X3/b6DT2QyWR+k26H28vj\nX+bx9dxBtNpdlDba+PZYtb+/XCYwoGMYKw74xr59WEee++YEDRYX0/omIROgzuzAoFZwVVY0fVNC\ncXlEWu0utp6qZVrfJMoabaRHG/wloHzPAeQyL1WWqoB7rrfX4/IGRsNKSEhI/FaQRPEyIJcJaBRy\nooxqBAFsbjdBXjky2bk9VC9gc3k4XNbMkbJm6i1OHh/XmY92F6OUy7h/ZBrxIVrmLTscMPainUX8\nZXxn/rgoF7dXJC1Kz6tTu1NndnDfZ4eZ2ieB+X/I4tM9JQSp5Nw/Kp16s5OCWjPp0UaabS4m9oin\n2ebiUGkjr2w4zbiu0YzqHM2y/aUs3lUcMN+K2wdw32eHWDSrN6er91LeZEMhE3h4bAYquYqOpo6c\naTrj759gSEAll1xtJCQkfptIKRnn8XNSMn7A7HDzeW4pf19zHK/oO7N7c1pP0qL0xJp86Q0uj5fF\nu4pYsreEh0ZnMPsjn8/oqMwoxmRFE6pTUd5oJTvexD++PsHesw0Bc3z+p/6oFDKOVzQzMDWC/KoW\n5q896Q/AGdQpnIk9YunfIYx1R6v4x9cn/Nf2SQnlucldOVnVyleHypneP4n3tp2l1e5iSu9EGq1O\n5p/X/4OZOVgcboanR2J1ebA4PGiVMvRqJXqNguKWYh7Y8gAnG06SFpLG80OfJ9mYLCX2S/yvIL2R\nf2dIK8VLjNnuZv7XJ/C2fdewOj384+sTPHZVZ/QaJUaNkkark3e2FpIVF0xymI60KD351Wa+O17N\n9oI6vrprIM99cxL5vjLmXpHKvqIGf6RqUlgQaqWMG9/dw6wByWw5VUNalMEviADbC+rYXlDHjoeH\n8+L3+QH3t/dsAyIieeVN/GlIB7/TDcC+okZendqdLrFGjlW0YFAr6BxtJNygRimXodcowRAwHEnG\nJBZcuQC36EYhKAjVhl6211ZCQkLiciOJ4iXG5vLg9gauvovrLRi1CpwuLx6lF5fby53DOxGkkvPM\nNyd5ckIXyhttNNtc5CSFUNVs4/nrujH7o/3klTWx+q5BLMstJSVcR+/kUCqabSya1Ruby8P+4kZa\nHW6ijRqqWs6d+UUbNYgiqBWygLxEAJdbZEhqBLvPNvgF8Qe+PFTB2KxoNEo58ydmEWFQo5D/dDyW\nJIQSEhL/K0jRp5eIBouT/KpWZECUMTCxfVRmNDqVArvbw+LdxcxcuI9vjlaREq6nZ2IIN767hwVb\nC1lzpJJr396FxwtL9pawaFYfsuODAZHJPeMZlRmNxeEmNEiFUaukQ5iOa7rHsXD7WZ6elE2YzneW\nF6ZT8crU7qw4WMZdIzoF3MvVXWMxahWkhAWRENLesi1Cr2Z4eiRv3NiDjBjjvxVECQkJif8lpDPF\n8/hvzxQbLA4eWn6E9Sdq6BYfzF/GZ/LC9/nkV7UyPCOCm/om8e62QrolhPDPtefO6zRKGd/fN5SJ\nb+ygvq1CxhWdI5nYPY6EEC1zPj7gX/3lJIXw9KRszA43j67MI1SnYu6IVPacrWdQpwjUCgGNSoHT\n7cWgVrCrsJ4Hlx/h0as6kxqpZ3dhPb1TQumRYCKsLZG/psXOrEX7OFbRAvis4xbO7M3y3DIeHJ2O\nSScFzEj87pHOFH9nSNunl4DSBhvrT/jy+A6XNTNv2WEevSqD7DgTucUNzPhgL3dfkcrXRwJrJtpd\nXg6VNrHm7kEcKG3CpFVS1WxnT2E9ewQhYDs0t7iRM7VmTlS0oFUqeHB0BtPf20Orw02HcD3LD5Sx\n+ZTP/1QuE1gwvRc9Ekz8c+0JooxqMmOCua5XvF8QASKNGt6/uTeHy5potrnIig1GJkBWfDCHyprI\nigv2O+GcT4vNRZ3ZwanqVjJjjITqVAEWdhISEhK/VSRRvAScn78HUNJg5Z2thbw5rSdL95XS8v/a\nu/PwqMrrgePfk9lnsu+QjVX2PayCRVEUq+C+gEuVFmvVqtX609rFpVZb21q1rhWrVatV64IrUhUX\nBARkD/ueACEr2TOTmff3x1xCEgISBCbg+TxPnsy8mbn3TDLM4d77vufUNVBa5adDnJsl25o/N87j\n4JFP1jGiSxLXvfQN5bUBrhvblVU7K5s9LkrCpzbjuyWTFOMi0evgjZ+N4oMVO+iY4GlMiADBkOGh\nWWuZMjybxdvKKayoZ1RXBy6HjbWFldhtQrzHQaLPRXqcG4ctgUVbSmkIhrj46XnUBsLXIHt1iOGF\nqcObJcYafwOvLtzWbEbrny/sz8QBGTjteqpVKXVs06R4GAzIisNlj2o2aeWi3Cyq/A2c2bcDczeU\n8MbifB6bPJi5G0sot1o9ndwzhViPg5e/DmfKf141lPKaAL07xDJ/UwmfrN5bRWbq6M58vq6I2WuK\neOTSQawtrGJjURXjeqXhaiUZVdY1MKJLEo9PGUyyz0l6nIdrXlhE3o7wqdKRXRJ5dPJgkqNdJEW7\nGN09hV++vqwxIQKs2lHJmp2VJHfbmxQraxt4cOaaZvu65908TuqeQmps8z6RSil1rNGkeBgkep28\nce0o7n0vj6JKP1NGZDOuVyo3vbKE84ZkcvuEnvx3UT5vLylgxvWjKSirIdbjIM7jYGd5HTef2p0Z\nS7ezpaSGOyb05PHP1jOsUyJ/OLcvz3+1hfQ4N1eP7sy5j33Fc1cN5a4ZeY1l12wzheeuGsrpfdKa\nVbKZPDybvO0V9OoYy2OfrCcr0duYEAHmbixl4eZSzujbAYCGoKG8xr/Pa9vdoldjQ8jsM2O1sq6B\nkF6aVkodBzQpHgYuh40+GXE8edkQGkKGBI+DmkCQaLedW19byqm90rjqxM5U+xvYsKuSNxblM21s\nV259bSlThmVz6dAshuQk4LLb8LnsXDosm6LKegINQZ65cgjBEKzZWcmDF/bHbpNmdUiDIcP976/m\n75MHkRztYmtpDeN7pzMgKw633cbqHRV4nbZm6xj3yNtR0ZgUYz0OfjKmC3PWlzT+PMZlZ0inhGbP\n8Tht5OYkNCscPq5nKh6nnjpVSh37NCkeRvFNin77a/1MHd2Z2WuKmJVXyKy8Qnqmx/CrM3vxzvKd\nlNYGGNsjlRteWcLFuVlM6JdOQXE1N7+6hMq6Bv5y0QC8LgdXP7eQQDDE5SNzcNtteBz7tn6qqAuQ\nt6OChpBhYFY8H67cwejuyeRt383ArASWbC0nt1MiM5ZuB8LXMc8bnMGlQ7MJhUxj+bnB2Qm8MHUY\n07/cREq0i+tP6UZyixmoiT4nj08ZzFOfb2T+phLGdE9h6omdifPoTFWl1LHviCZFEXkWOAvYZYzp\na40lAv8BOgGbgYuMMWUSrgv2MHAmUAP8yBjzjfWcK4FfW5v9vTHmeWt8CPAc4AHeB240xpj97eNI\nvtaWgiGY/uUmXpk2ghUFu3HabWQlerjVqmW6vGA3V47sBMDXm0v48ZjO/OifCwBIjnbittu4bPr8\nxu3d++4qHr10EFES7mCRX7a3G8YlQ7PJSvBQUlVPfSDIvRP78vD/1vLWku34nDbeuu5ESqv9/OrM\nnny5rphfn9ULY+DdZTtw2ITxfdJJi3UT63EwpnsKg7LisduiGpsLt5Qa6+a203tQ7W8gxuXAoRNs\nlFLHiSP9afYccEaLsduBj40x3YGPrfsAE4Du1tc04AloTKK/A4YDw4Dficiec3pPAD9p8rwzvmUf\nR43bYcMmwttLtnNa7zRemr+Zyf+Yz3Zrpurwzkmssq7xjT0hla827D1tOTArni/WFe2zzVl5hXy+\nrphXpo3gypE5nNgtifvO6UtOkpdbX1vGRblZTDupK3k7Krh8ZA63jD+BmkCQB2euoWeHGCYPy+aP\nF/SnPhDi0n/M5773V3HXO3lMePgLCpss/4h2O/abEPdwOWwk+lyaEJVSx5Uj+olmjPkcKG0xPAl4\n3rr9PHBOk/F/mbB5QLyIdABOB2YZY0qto71ZwBnWz2KNMfNMuALBv1psq7V9HDWxHge/m9iHKIEH\nP1zNdSd3J92anTm8cyI/G9uVF+dtJSXGxUW5WfRIDxcVTYl28bOxXendMXafbeYkhQuKr95RyU9O\n6sKfzu/P1tIabvrPEs4bnEFZjZ8zH/mC619ezPlPzMUYuGx4DoUVdezcXQcIDUHDzLxCSqv3TqrZ\nXRvgPwu27bM/pZT6vonENcU0Y8yeVew7gTTrdgbQ9JM53xo70Hh+K+MH2sc+RGQa4SNTsrOz2/pa\nqAsEKa6s56O8QlJiXIzokkRKjItgyPDesh08O2dzOIjKeu6Z1IfeHWNx2qKoqW/gicsG43PZ2FRc\nRd+MOCYO6MBVozoT43HQ2+1oNqGlW2o0Ewd0xO2wccX0+RRW1vPWdaMY2jmBU3qmEu22M/kf85vF\n9tin6/nX1GF0SvZy33ur+M1ZvYnzOqhtUQsVwt099icUMpRU+zEYYl12nPbmbbCUUup4EdGJu3FD\nHQAAFsBJREFUNtb1vyM6mf/b9mGMeRp4GsJl3tq6/c0l1Ux8dA7+YHiZQteUaF6ZNgK7TXi3SQWb\nOetLmLO+hIcvGciY7sk88sk6Lh/ZiTnri+mWEsOlT83j9gk98bnt/PCRL/C57NwzsQ+3ndGTaJcd\nMLw4bwu5nRJwOWxcMjSLyrogOYk+HvrfWq4+sTMVdc2XT9Q3hIj3OEnwOvlifTFvLi5g2pgunDso\ngxfmbmmM2WETLhuR0+rrq6wLMG9jKfe+m0dFXYBLhmYzoW86CT4n6bEunPYDn2ZVSqljSSQuCBVa\npz6xvu9ZX1AAZDV5XKY1dqDxzFbGD7SPw6qqPsBfP1rbmFwANhRVsWZnBV6Hjd4dYvZ5TrfUaACu\nHt2FG15ezOhuKbidNv5wfj+GdErk75+so74hRGm1n+tfXswVz85n7a5K5m4s4Z1lO8hJ8vHAef0o\nrw1w+3+X8daSAm47PZw4x/VMbbavwdnx5JfVcMtrSzEGcpJ8xPucdIhz8+4No7koN5MLh2TywY1j\n6BDX+sL74io/015YyNbSGsprAjz52QYWbinlt28vZ1dF/WH8bSqlVORF4khxBnAl8ID1/e0m49eL\nyCuEJ9XsNsbsEJGZwB+aTK4ZD9xhjCkVkQoRGQHMB64AHv2WfRxWoRD7tGWC8JjLYeO6U7oxZ0NJ\n4xrBycOy6RjnIcHnZOfuOl768XBue30Z860mwvdO6rPP9uoCISpqAvTPjGP6lbkUV9bzl1lrG4t4\n3zK+B3e8sZzVOyv4xxW5ZCR4WbCplNycBC7IzeSaFxZhTDgZn9IzBYAkq4rNfef2wxgOWJ7tqw3F\ntKwZ/+nqIgZlx/Pqonx+cdoJh/z7U0qp9uZIL8l4GRgLJItIPuFZpA8Ar4rIVGALcJH18PcJL8dY\nT3hJxlUAVvK7F1hgPe4eY8yeyTs/Y++SjA+sLw6wj8Mq1uPg2rFd+XJ9ceNYgtfBwKx4ADrEeXj1\nmpFU1Tfgc9pwO2zEehxsL6/l/g9WM2lgx8aECPDCvC3cd06/xuLiALFuO6O6JVPvb8BmiyI+Obox\nIabFuogSmLsxPHP1sunzmTgggxvHdWNwTgL+QIiHLxmIwxZFVoKX5Jjmxb0dB9EWqkda60e728tr\n6Zzsa8NvSyml2r8jmhSNMZfu50fjWnmsAa7bz3aeBZ5tZXwh0LeV8ZLW9nEk9MuI441rRzH9y02k\nxbr48ZguuBxRlNf4ifc6SYlxAYZl+buJ8zjITPDwl4/WEAyZZmsNAdYWVlHjb+D1n47k+a82E+N2\ncMWoHPwNQVZsD6917JcZh9MWhT8YIs7joLhq7ynMukCIVxduY0NRFfcl+ZixdDsp0U4uGZaDx3lo\n1/66pPg4Z2BH3loSXvjfLTWacwZ2ZNoLC7l1fI9D/r0ppVR7pBVtvqNYj4PBOQl0S4mmIRRiV2Ud\nT8zexuqdFfzitB50SfFx/hNf0THewy2nncB7y3awblcVm4qquenUE3jk43XN6ob6g4blG4u5fEQO\nbqeN/y7KZ1tZDb/5YW/qG0IUlNVy82nd+eOHa9hQVE3vDrF4HLZmhbwvys3ircX5nNQjlav+uYAz\n+3c85KSY6HNx18Q+/PL0HtQFQtQGgiwvKOft60eT2kpbKaWUOpZpUjwMav0NFFXV8+RnG8gvr+XM\nvh0YmBXP47PXMa5nGvWBEPef24873lxOks/JyT1SWZa/jneXbefvkwfzxOwN1PgbuGRYNsaE+MEJ\nqVz89DzGdE/m5B4pXDw0i1+9uYJ1hZVcMSqHITkJvHrNSALBEEnRLmbedBKLt5XxytfbmDSwI11S\nfDz8v7X0z0ogEAztc02wreK9zmYl7PpmxH3H35hSSrVPYr7rJ+ZxJDc31yxcuLDNz9tVWUfh7jpi\nPQ6CIcPawkqKq/yU1/qpqgsS57HTNSWaB2euYVNxNdOvzOXTNUW8vaSAMd1TuOYHXaiubyDaZWdn\nRT0p0U4SfU7eWbadITmJ3PDvxY0Nhx024Z0bRvNxXiFel52HZq2lsr6B03qlcecPe/HgzNV8uLKQ\nhy8exMtfbyUl2sU95/TRJsBKHRpdkPs9o0mxiUNNipuLq/nvN/k8/flG6htCnNg1id+e3Ztl+bvp\nmxHH7toAz365icE5CTzwwWpc9iguHJLJWQM64nXYeOh/a/n5uO5c88IidlWGrxGe1juVs/t3JC3O\nzcVPzWu2vzP7pPGL03ty6l8/azZ+3cldOblHKjFuO8bAwi1lnNkvHXtUFHWBIIFgiOUFuwmGDMM6\nJ1nXO9uusi7Arsp6Fm8to3tqDKkxLuK9DjxOPfGgjjuaFL9ntHDld1RSWc/O3XU8+sn6xj6DczaU\n8NaS7aTFukjyOUiPdbOxqJrUGBf3TOrD4OwEagJBOsS5cDmiyEny8cK8LY0JEWBW3i48Tjtep42W\nxWOCwNJt5fvEMmd9CRuKqijcXUfQGNJinTQEDbe8toQR93/MlGfmY7dFMWPpdi588iuKKtu+ztDf\nEGLmyp2M+8tn3PraMiY9NofpczaxtbSmzdtSSqn2RpPid2QwrNi+e5/xBZtK6ZEeS5REMWd9MX+6\noD+/fXsl7y/fwYndkjh3YAYvztuKABMHdGRbK0mloLyWRZvLuHZst8YxtyOKycOyybbqoDbVPzOO\nJVvL8brsbCutZWNRDQ98sJpZebsIGdhcUsMN/17MtJO6srmkhsVb2944pLzGz+/fW9Vs7Lk5m6kN\nhCg+hCSrlFLtiSbF7yhKpHFdYlNjuieT4HUyY2kBd761gopaPy9MHcYNp3TnxG7JzFpVyPQvN+F2\n2MhO8nDuoIxmz3fYhAGZcdz/wWqc9ig+uHEM/7p6GP/+8QheXrCNRZvLuOW0E3BZC++HdU7knIEZ\nuOxRZMR7eH3RNvp0jGX22ubdNmoDQSpqA3idtsZ6p/UNQQor6li8tYyC8lqqWpSLa8oAlXXN66Q2\nhAzBUIgQkT8VX1XfwK7KOmoOUMtVKaX2Ry8CfUeJ0S5q/EHumNCTRz9ZT7W/gfG905gyPIfaQJCP\n8goBeOh/67jp1BO4/uVvqK4PL5+4+dTuuBxRJHicjO+dTnGVn9cX5ZPoc/J/Z/Qg0efk7ol96Jke\ny/ayWtyOKH791nK2ldYS73Zw82kncP6QTCrrAmwrrWHVzgp+0COVn730DVNHdyYzwUvvDjF8uX5v\nW6ooCRcYsEcJo7omYYxhydZyrnj2a+obQojA3RP7cMHgTLyufd8ePqeds/t3aFy3COFycvUNIWJa\nefzRtGN3Lfe/v4pvtpYzoksSt53eg9TY1svXKaVUa3SiTROHOtEGoKSqnrpAEASinXbivE4CDSH+\n9NFqtpXWMm1MF0LGkBbrpqC8lvRYNwk+J3Ge8KzQ8ho/pdV+iirrKamup0tyNFOfX0hStJM7JvTk\nTx+uIWgMU4bnkBbrIifRS6zbQQjDXTNWkpHgZeX23cyxEuDsW8eS6HNQWh1gyjPzKSivxWmL4v8m\n9CA52sWg7AQ6xrkpq/Fz3hNfsa10byEBpy2Kz28bS3qcZ7+v9ZUF2/h09S76ZcYxZXgOST4HCb7I\nrVssqarnyn9+zYqCisaxkV2TeHzKYBKaLCdRqo10os33jB4pHiZJrSxkd9ij+MnoLqzcUcHkZ+ZR\nFwgRFQV3nd2HLsm+xoQYCIYXxT84czUxbgcX5mZx73t5FJTXUlBey/X/XszDlwzE67RTUl1P52Qf\nwZAhKcZFUWUdX28qo2j5zsb9ioRPaVbWBclJ8vLmdaOo9Qdx2W24HVF4nfbGeqfGQEGLyjr+YKhx\n0tD+Xus1J3XhotxMbCJEux0HrJ96NNQGgs0SIsDcDSXh/6gopdRB0muKR1jQGO59J4+6QDjJhEJw\nzzt5BK0j9KLKOh75eB2/eHUpvTrEMXFABgVltc1mc5ZU+7ls+teU1fp5dcE2LnxyLmsLKwFI8Dr5\nzVm9mu3z4twsPlixg4uemktRVT2pMW5yknykx7mJ9zqbJTC3w8apvZq3m8xO9OL9lgo4dlsUKTFu\nEqNdEU+IEK7j2jLmRJ8Tm+h/9JVSB0+PFNvIGENxlZ8afwNuh404jwO3Y/8JxBYl+yxXaAgZ6gIh\nSqvq+emL37DIaiQ8d0MJ5w3O4OQeqYzvnc70Lzc1PsfntBHvcTJr1S4GZceT2ykRCCenoZ0Teef6\n0SzcUkpOko+iynp+89YK/MEQ32wp44y+HfYbX6zHwe/P7Uu818Fna4vo0zGWuyf2JSXm2LoWF+dx\ncM+kvvzy9XCbLFuUcP+5/UjwadECpdTB06TYRpuKq7ni2a/JL6vF47Dxpwv6M65naquTUgA8Dhun\n90nnveV7Gw5nxHvwuWzUBIKNCXGPGUu2c9O47gztlIg9SpixdDuZCR7untgHpy2KD28aQ4rV+mkP\nW5Qwd0MxxdV+Hp+9odn6Q3/w268Zp8a4uevsPlTVNzR28jjWuB02zuiTzqiuSeSX1ZCV4CXO68Bh\n0ybISqmDp0mxDcqq/dz2+rLG7ha1gSC3vLqUz287eb9JMcbt4K6JfYh22/l09S56dYjhnkl9SYl2\nsbOiDluUEGxSEdznsuN22EiNdfOL005g6pjOOG1RzWqPtpTkczGqWzLFVfX844uNjeMJXgfDOyce\n1Gvzuuz7fQ3Himi3nWi3nY7xrU8QUkqpb3NsfwoeZYFgqLGX4R7+YIiq+gCw/9ONKTEu7jq7t7Wu\n0EacN3wkFu2y8+PRnXnq872J7M4zezUmQJfDRuoBTs3uYYsSeqRHk1Ll5J3rR/OvuVtIinZy+Ygc\nUrSThVJKHTRNim3gdtg4sVtSsybA0S47sQdRbNvjtO9TGzTG7eCnP+jK2QM6sqJgN7mdEkmNObSJ\nKw6bjbQ4D2lxHv5wXl+iEKJa1odTSil1QJoU2yDW4+D35/Sl2r+UuRtKyE708reLBxLvPfRrcAk+\nJwk+53dux1Ra7WdzcTUrt+9mZNckUmPcx+S1QaWUiiRNim2UHufhiSmDqW8IESVCcrQTifC0/921\nfh6cuYaXv97aOPbQxQM4u39H7LbIL5dQSqljhX5iHoJ4r5O0WDcpMa6IJ0SA6vogryzY2mzsvvdW\nUVaz/xqmSiml9qVJ8TjQEDK0rNYXLtqtJfyUUqotNCkeB3xOG/0zm1+TvGx4NtEuvaaolFJtodcU\njwNJ0S6euTKXF+dtYcnWcib068DpfdLxfEupNqWUUs1pUjxOpMa4+fkp3akLBPG57O3iWqdSSh1r\nNCkeR+y2KKJ1tqlSSh0y/QRVSimlLJoUlVJKKYsmRaWUUsqiSVEppZSyaFJUSimlLJoUlVJKKYsm\nRaWUUsqiSVEppZSyaFJUSimlLGJatlf4HhORImALkAwURzicljSmb9fe4gGN6WC0t3hgb0zFxpgz\nIh2MOno0KbZCRBYaY3IjHUdTGtO3a2/xgMZ0MNpbPNA+Y1JHh54+VUoppSyaFJVSSimLJsXWPR3p\nAFqhMX279hYPaEwHo73FA+0zJnUU6DVFpZRSyqJHikoppZRFk6JSSill0aTYgoicISJrRGS9iNze\nDuLJEpFPRSRPRFaKyI2RjglARGwislhE3o10LAAiEi8ir4vIahFZJSIjIxzPzdbfa4WIvCwi7gjE\n8KyI7BKRFU3GEkVkloiss74ntIOYHrT+bstE5E0RiY90TE1+douIGBFJPpoxqcjRpNiEiNiAx4AJ\nQG/gUhHpHdmoaABuMcb0BkYA17WDmABuBFZFOogmHgY+NMb0BAYQwdhEJAP4OZBrjOkL2IBLIhDK\nc0DLhee3Ax8bY7oDH1v3Ix3TLKCvMaY/sBa4ox3EhIhkAeOBrUc5HhVBmhSbGwasN8ZsNMb4gVeA\nSZEMyBizwxjzjXW7kvCHfUYkYxKRTOCHwDORjGMPEYkDTgKmAxhj/MaY8shGhR3wiIgd8ALbj3YA\nxpjPgdIWw5OA563bzwPnRDomY8xHxpgG6+48IDPSMVkeAm4DdDbi94gmxeYygG1N7ucT4QTUlIh0\nAgYB8yMbCX8j/GERinAce3QGioB/Wqd0nxERX6SCMcYUAH8mfISxA9htjPkoUvG0kGaM2WHd3gmk\nRTKYVlwNfBDpIERkElBgjFka6VjU0aVJ8RghItHAf4GbjDEVEYzjLGCXMWZRpGJohR0YDDxhjBkE\nVHP0Tws2sq7TTSKcrDsCPhG5LFLx7I8Jr8dqN0dBInIn4csFL0U4Di/wK+C3kYxDRYYmxeYKgKwm\n9zOtsYgSEQfhhPiSMeaNCIdzIjBRRDYTPr18ioi8GNmQyAfyjTF7jqBfJ5wkI+VUYJMxpsgYEwDe\nAEZFMJ6mCkWkA4D1fVeE4wFARH4EnAVMMZFfPN2V8H9ollrv80zgGxFJj2hU6qjQpNjcAqC7iHQW\nESfhyREzIhmQiAjha2WrjDF/jWQsAMaYO4wxmcaYToR/P58YYyJ6FGSM2QlsE5Ee1tA4IC+CIW0F\nRoiI1/r7jaP9TEqaAVxp3b4SeDuCsQDhGd+ET8dPNMbURDoeY8xyY0yqMaaT9T7PBwZb7zN1nNOk\n2IR1sf96YCbhD7FXjTErIxsVJwKXEz4iW2J9nRnhmNqjG4CXRGQZMBD4Q6QCsY5YXwe+AZYT/nd2\n1MuGicjLwFygh4jki8hU4AHgNBFZR/iI9oF2ENPfgRhglvX+frIdxKS+p7TMm1JKKWXRI0WllFLK\noklRKaWUsmhSVEoppSyaFJVSSimLJkWllFLKoklRKaWUsmhSVMcFEZktIrnW7fcPZ/shEfmpiFxx\nuLanlGq/7JEOQKnDzRhzWIsbGGOO6mJypVTk6JGiihgR6WQ1l31ORNaKyEsicqqIzLGa4A4TEZ/V\nBPZrqwPGJOu5HhF5xWoo/CbgabLdzXuaworIWyKyyGr4O63JY6pE5D4RWSoi80Rkv90iROQuEbnV\nuj1bRP5oxbNWRMZY4zYR+bPVVHiZiNxgjY+z4l5uvQ5Xkxjvtyq4LBSRwSIyU0Q2iMhPm+z7lyKy\nwNrm3Yf1D6CU2ocmRRVp3YC/AD2tr8nAaOBWwp0K7iRcX3UYcDLwoNUW6lqgxhjTC/gdMGQ/27/a\nGDMEyAV+LiJJ1rgPmGeMGQB8DvykDTHbrXhusvYNMA3oBAy0muW+JCJuwg1sLzbG9CN8ZubaJtvZ\naowZCHxhPe4Cwo2k7wYQkfFAd8J9PgcCQ0TkpDbEqZRqI02KKtI2WQWYQ8BKwl3hDeGaoZ0Idz6/\nXUSWALMBN5BNuKnwiwDGmGXAsv1s/+cispRw89oswkkGwA+8a91eZO3rYO3pVNL0eacCT+1plmuM\nKQV6WK9vrfWY562499hTbH45MN8YU2mMKQLqrWui462vxYTrqPZsEr9S6gjQa4oq0uqb3A41uR8i\n/P4MAucbY9Y0fVK4+cSBichYwslqpDGmRkRmE06qAIEmLYqCtO3fwp4Y2/q8/W2n6evec98OCHC/\nMeap77APpVQb6JGiau9mAjdYLZgQkUHW+OeET7UiIn2B/q08Nw4osxJiT8KnJo+UWcA1ImK3YkoE\n1gCdRKSb9ZjLgc/asM2ZwNVWg2lEJENEUg9jzEqpFjQpqvbuXsABLBORldZ9gCeAaBFZBdxD+FRm\nSx8CdusxDxA+hXqkPEO4j+Iy63TtZGNMHXAV8JqILCd8BHjQM1mNMR8B/wbmWs9/nXCLJaXUEaKt\no5RSSimLHikqpZRSFp1oo5RFRO4ELmwx/Jox5r5IxKOUOvr09KlSSill0dOnSimllEWTolJKKWXR\npKiUUkpZNCkqpZRSlv8H73wSENjHt8MAAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1d962724a8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "japwcBFpsFS7",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.set(style=\"ticks\", color_codes=True)\n"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "dQPmmxxwskp4",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 365
+        },
+        "outputId": "a05f3580-29c2-4d4c-ddf2-78881e7e7e17"
+      },
+      "cell_type": "code",
+      "source": [
+        "# sns.catplot(x=\"day\", y=\"total_bill\", data=tips);\n",
+        "\n",
+        "sns.catplot(x=\"ocean_proximity\", y=\"house_price\", data=housing_truncated);"
+      ],
+      "execution_count": 44,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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92JkQLXadFbqXVhXETWOu79pFPFtU2aN5/NDs2LFjjBw50qltxIgRHDlyxOtB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\nhHDk/wC4IVQoNFvHoQAAAABJRU5ErkJggg==\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1d96156208>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ph7aZTAZs3q0",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        ""
+      ],
+      "execution_count": 0,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file
diff --git a/LS_DS_123_Make_explanatory_visualizations.ipynb b/LS_DS_123_Make_explanatory_visualizations.ipynb
new file mode 100644
index 0000000..6c7a6dd
--- /dev/null
+++ b/LS_DS_123_Make_explanatory_visualizations.ipynb
@@ -0,0 +1,18093 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "LS_DS_123_Make_explanatory_visualizations.ipynb",
+      "version": "0.3.2",
+      "provenance": [],
+      "collapsed_sections": [],
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/Captmoonshot/DS-Sprint-02-Storytelling-With-Data/blob/master/LS_DS_123_Make_explanatory_visualizations.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "tqsSaz6-Lvbe",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "_Lambda School Data Science_\n",
+        "\n",
+        "# Choose appropriate visualizations\n",
+        "\n",
+        "\n",
+        "Recreate this [example by FiveThirtyEight:](https://fivethirtyeight.com/features/al-gores-new-movie-exposes-the-big-flaw-in-online-movie-ratings/)\n",
+        "\n",
+        "![](https://fivethirtyeight.com/wp-content/uploads/2017/09/mehtahickey-inconvenient-0830-1.png?w=575)\n",
+        "\n",
+        "Using this data:\n",
+        "\n",
+        "https://github.com/fivethirtyeight/data/tree/master/inconvenient-sequel\n",
+        "\n",
+        "### Stretch goals\n",
+        "\n",
+        "Recreate more examples from [FiveThityEight's shared data repository](https://data.fivethirtyeight.com/).\n",
+        "\n",
+        "For example:\n",
+        "- [thanksgiving-2015](https://fivethirtyeight.com/features/heres-what-your-part-of-america-eats-on-thanksgiving/) ([`altair`](https://altair-viz.github.io/gallery/index.html#maps))\n",
+        "- [candy-power-ranking](https://fivethirtyeight.com/features/the-ultimate-halloween-candy-power-ranking/) ([`statsmodels`](https://www.statsmodels.org/stable/index.html))"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "0Nd6YinnNg85",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "d939ac28-24b1-4318-dd0a-6c368438e0b5"
+      },
+      "cell_type": "code",
+      "source": [
+        "import pandas as pd\n",
+        "import matplotlib.pyplot as plt\n",
+        "import numpy as np\n",
+        "import seaborn as sns\n",
+        "%matplotlib inline\n",
+        "\n",
+        "fake = pd.Series([38, 3, 2, 1, 2, 4, 6, 5, 5, 33],\n",
+        "                index=range(1,11))\n",
+        "fake"
+      ],
+      "execution_count": 3,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "1     38\n",
+              "2      3\n",
+              "3      2\n",
+              "4      1\n",
+              "5      2\n",
+              "6      4\n",
+              "7      6\n",
+              "8      5\n",
+              "9      5\n",
+              "10    33\n",
+              "dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 3
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "NwHSzuZ9Pj76",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 442
+        },
+        "outputId": "140dbe11-bd43-414c-dc16-41be79835f27"
+      },
+      "cell_type": "code",
+      "source": [
+        "plt.style.available"
+      ],
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "['seaborn-muted',\n",
+              " 'seaborn-ticks',\n",
+              " 'seaborn-deep',\n",
+              " 'fivethirtyeight',\n",
+              " 'seaborn-paper',\n",
+              " 'seaborn-darkgrid',\n",
+              " '_classic_test',\n",
+              " 'seaborn-colorblind',\n",
+              " 'seaborn-talk',\n",
+              " 'dark_background',\n",
+              " 'seaborn-bright',\n",
+              " 'bmh',\n",
+              " 'seaborn-white',\n",
+              " 'grayscale',\n",
+              " 'fast',\n",
+              " 'seaborn-pastel',\n",
+              " 'classic',\n",
+              " 'Solarize_Light2',\n",
+              " 'seaborn-whitegrid',\n",
+              " 'seaborn',\n",
+              " 'seaborn-notebook',\n",
+              " 'seaborn-poster',\n",
+              " 'seaborn-dark',\n",
+              " 'seaborn-dark-palette',\n",
+              " 'ggplot']"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 4
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "D6H4rk5aPuZm",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "plt.style.use('fivethirtyeight')"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "pORUPLhgLvbm",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 299
+        },
+        "outputId": "fcc66405-9986-489c-b2cc-2a0c3e16a4f7"
+      },
+      "cell_type": "code",
+      "source": [
+        "fake.plot.bar()"
+      ],
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1cf5ccff98>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 6
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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VFRWltLQ0zZw5U729vRMKAgCYXMZVMMePH9frr78uServ79fg4KCSk5MDGgwAENnGtURW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\nIygYAIARFAwAwIj/BxokYh0dym7JAAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1d178daf60>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "IuZAYflmOyAr",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 282
+        },
+        "outputId": "80eeb1eb-e005-4ac6-85ee-e61dab021f77"
+      },
+      "cell_type": "code",
+      "source": [
+        "fake.plot.bar(color='C1');"
+      ],
+      "execution_count": 7,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf56b1128>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "C3t_EI0mQho7",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 282
+        },
+        "outputId": "38bba84f-5598-49e9-c937-ef460f1d404f"
+      },
+      "cell_type": "code",
+      "source": [
+        "fake.plot.bar(color='#EC713B', width=0.9);"
+      ],
+      "execution_count": 8,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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wAAAjKBgAgBEUDADACAoGAGAEs8iCiPYsIGYAAYhn7MEAAIygYAAARlAwAAAjKBgAgBEU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\nEBsoGACAERQMAMAICgYAYMT/AODrZXzeeAE9AAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf2df6240>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "vKfXwRnSQt0C",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "fake2 = pd.Series([\n",
+        "    1, 1, 1, 1, 1, 1, 1, 1 ,1,\n",
+        "    2, 2, 2,\n",
+        "    3, 3, 3,\n",
+        "    4, 4, \n",
+        "    5, 5, 5, \n",
+        "    6, 6, 6, 6, \n",
+        "    7, 7, 7, 7, 7, \n",
+        "    8, 8, 8, 8,\n",
+        "    9, 9, 9, 9,\n",
+        "    10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10,\n",
+        "])"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "Hfu1vsCjSonn",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 281
+        },
+        "outputId": "666eb55a-c619-4604-f123-5524369e7c64"
+      },
+      "cell_type": "code",
+      "source": [
+        "fake2.plot.hist();"
+      ],
+      "execution_count": 10,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf2d5f748>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "b1i1uoemStXk",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "7c9dcdd0-4e81-42bd-9410-197b7529a1a4"
+      },
+      "cell_type": "code",
+      "source": [
+        "fake2.value_counts()"
+      ],
+      "execution_count": 11,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "10    14\n",
+              "1      9\n",
+              "7      5\n",
+              "9      4\n",
+              "8      4\n",
+              "6      4\n",
+              "5      3\n",
+              "3      3\n",
+              "2      3\n",
+              "4      2\n",
+              "dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 11
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "AnlOC2ciS5dT",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "e1643593-c3af-481d-bed6-cedd976d0b84"
+      },
+      "cell_type": "code",
+      "source": [
+        "# To get it in the same representatino as fake1\n",
+        "\n",
+        "fake2.value_counts().sort_index()"
+      ],
+      "execution_count": 12,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "1      9\n",
+              "2      3\n",
+              "3      3\n",
+              "4      2\n",
+              "5      3\n",
+              "6      4\n",
+              "7      5\n",
+              "8      4\n",
+              "9      4\n",
+              "10    14\n",
+              "dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 12
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "PMLg_Q65S8-G",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 299
+        },
+        "outputId": "1306a5c1-4d8c-43c9-aa0d-77346c5d1d3d"
+      },
+      "cell_type": "code",
+      "source": [
+        "fake2.value_counts().sort_index().plot.bar()"
+      ],
+      "execution_count": 13,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1cf2db8748>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 13
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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DBgzQ3Llz3d4FAEhyjl7kBwAgEl7kBwCYIDAAABMEBgBgImkDc/r06YSePxy+9KWr48eP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\neBuBAQCYIDAAABMEBgBg4n8BahesrsDo3/sAAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf2cba2e8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ppi-RMqyTGes",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 281
+        },
+        "outputId": "5154dee5-f3c7-45b4-e955-820143a119f1"
+      },
+      "cell_type": "code",
+      "source": [
+        "fake = pd.Series([38, 3, 2, 1, 2, 4, 6, 5, 5, 33],\n",
+        "                index=range(1,11))\n",
+        "\n",
+        "plt.style.use('fivethirtyeight')\n",
+        "\n",
+        "ax = fake.plot.bar(color='#EC713B', width=0.9)\n",
+        "\n",
+        "ax.tick_params(labelrotation=0)"
+      ],
+      "execution_count": 14,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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AAEZQMAAAIziLLAS7zwLiDCAAiYw9GACAERQMAMAICgYAYAQFAwAwgoIBABjBWWQJhLPa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\nSUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf5758b00>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "fieiWnRZTkjO",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 321
+        },
+        "outputId": "b74d3162-a5cc-40ad-9270-665efaad6858"
+      },
+      "cell_type": "code",
+      "source": [
+        "# Adding a title\n",
+        "\n",
+        "fake = pd.Series([38, 3, 2, 1, 2, 4, 6, 5, 5, 33],\n",
+        "                index=range(1,11))\n",
+        "\n",
+        "plt.style.use('fivethirtyeight')\n",
+        "\n",
+        "ax = fake.plot.bar(color='#EC713B', width=0.9)\n",
+        "\n",
+        "ax.set(title=\"'An Inconvenient Sequel: Truth to Power' is divisive\",\n",
+        "       xlabel='Rating',\n",
+        "       ylabel='Percent of total votes')\n",
+        "\n",
+        "ax.tick_params(labelrotation=0)"
+      ],
+      "execution_count": 15,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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LHDlyBP7+/gBeb1Pz58+Hp6dnhccLBALs27cPX3zxhdj2bWtri3r16iE/P7/C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\nE6seK0+ZAAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf2bea3c8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "kMqroya_U2sW",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 370
+        },
+        "outputId": "06a3d504-daec-4126-c0fe-51618099654d"
+      },
+      "cell_type": "code",
+      "source": [
+        "# Trying to add subtitles\n",
+        "\n",
+        "fake = pd.Series([38, 3, 2, 1, 2, 4, 6, 5, 5, 33],\n",
+        "                index=range(1,11))\n",
+        "\n",
+        "plt.style.use('fivethirtyeight')\n",
+        "\n",
+        "ax = fake.plot.bar(color='#EC713B', width=0.9)\n",
+        "\n",
+        "# Changing y-axis scale\n",
+        "ax.set(xlabel='Rating',\n",
+        "       ylabel='Percent of total votes',\n",
+        "      yticks=range(0, 50, 10))\n",
+        "\n",
+        "ax.text(x=-2, y=50, s=\"'An Inconvenient Sequel: Truth to Power' is divisive\",\n",
+        "       fontsize=16, fontweight='bold')\n",
+        "ax.text(x=-2, y=46, s=\"IMDB ratings for the film as of Aug. 29\")\n",
+        "\n",
+        "ax.tick_params(labelrotation=0)"
+      ],
+      "execution_count": 16,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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mDBUrVqRNmzZmBTY33nnnHUqWLMlvv/3GqFGjmDVrVq4fW61aNd5++22zZZGR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\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf2bdb7f0>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "upiCLs-0XUOt",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 338
+        },
+        "outputId": "7736d976-6c75-4652-b514-1daf3467e9ef"
+      },
+      "cell_type": "code",
+      "source": [
+        "df = pd.read_csv('https://raw.githubusercontent.com/fivethirtyeight/data/master/inconvenient-sequel/ratings.csv')\n",
+        "df.head()\n"
+      ],
+      "execution_count": 17,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>timestamp</th>\n",
+              "      <th>respondents</th>\n",
+              "      <th>category</th>\n",
+              "      <th>link</th>\n",
+              "      <th>average</th>\n",
+              "      <th>mean</th>\n",
+              "      <th>median</th>\n",
+              "      <th>1_votes</th>\n",
+              "      <th>2_votes</th>\n",
+              "      <th>3_votes</th>\n",
+              "      <th>...</th>\n",
+              "      <th>1_pct</th>\n",
+              "      <th>2_pct</th>\n",
+              "      <th>3_pct</th>\n",
+              "      <th>4_pct</th>\n",
+              "      <th>5_pct</th>\n",
+              "      <th>6_pct</th>\n",
+              "      <th>7_pct</th>\n",
+              "      <th>8_pct</th>\n",
+              "      <th>9_pct</th>\n",
+              "      <th>10_pct</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>2017-07-17 12:28:32.785639</td>\n",
+              "      <td>402</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>197</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>...</td>\n",
+              "      <td>49.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>33.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>2017-07-17 12:28:33.025600</td>\n",
+              "      <td>78</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>10</td>\n",
+              "      <td>16</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>...</td>\n",
+              "      <td>20.5</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>62.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>2017-07-17 12:28:33.273919</td>\n",
+              "      <td>4</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>...</td>\n",
+              "      <td>50.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>25.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>2017-07-17 12:28:33.495325</td>\n",
+              "      <td>4</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>...</td>\n",
+              "      <td>50.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>25.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>2017-07-17 12:28:33.722849</td>\n",
+              "      <td>130</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>9</td>\n",
+              "      <td>41</td>\n",
+              "      <td>0</td>\n",
+              "      <td>3</td>\n",
+              "      <td>...</td>\n",
+              "      <td>31.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>49.2</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>5 rows × 27 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                    timestamp  respondents        category  \\\n",
+              "0  2017-07-17 12:28:32.785639          402           Males   \n",
+              "1  2017-07-17 12:28:33.025600           78         Females   \n",
+              "2  2017-07-17 12:28:33.273919            4   Aged under 18   \n",
+              "3  2017-07-17 12:28:33.495325            4  Males under 18   \n",
+              "4  2017-07-17 12:28:33.722849          130      Aged 18-29   \n",
+              "\n",
+              "                                                link  average  mean  median  \\\n",
+              "0   http://www.imdb.com/title/tt6322922/ratings-male      4.6   5.0       2   \n",
+              "1  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.7      10   \n",
+              "2  http://www.imdb.com/title/tt6322922/ratings-age_1      4.2   4.2       3   \n",
+              "3  http://www.imdb.com/title/tt6322922/ratings-ma...      4.2   4.2       3   \n",
+              "4  http://www.imdb.com/title/tt6322922/ratings-age_2      6.3   6.5       9   \n",
+              "\n",
+              "   1_votes  2_votes  3_votes   ...    1_pct  2_pct  3_pct  4_pct  5_pct  \\\n",
+              "0      197        7        7   ...     49.0    1.7    1.7    0.7    1.7   \n",
+              "1       16        1        0   ...     20.5    1.3    0.0    1.3    1.3   \n",
+              "2        2        0        0   ...     50.0    0.0    0.0    0.0   25.0   \n",
+              "3        2        0        0   ...     50.0    0.0    0.0    0.0   25.0   \n",
+              "4       41        0        3   ...     31.5    0.0    2.3    0.8    1.5   \n",
+              "\n",
+              "   6_pct  7_pct  8_pct  9_pct  10_pct  \n",
+              "0    1.7    2.7    2.0    5.0    33.6  \n",
+              "1    0.0    3.8    5.1    3.8    62.8  \n",
+              "2    0.0    0.0    0.0    0.0    25.0  \n",
+              "3    0.0    0.0    0.0    0.0    25.0  \n",
+              "4    2.3    4.6    3.1    4.6    49.2  \n",
+              "\n",
+              "[5 rows x 27 columns]"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 17
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Sza7leJcaYoI",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "88db4a84-f7b0-4563-e579-9a4d103a13b3"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.shape"
+      ],
+      "execution_count": 18,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(80053, 27)"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 18
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Eox6qYGCabqw",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "pd.set_option('display.height', 1000)\n",
+        "pd.set_option('display.max_rows', 500)\n",
+        "pd.set_option('display.max_columns', 500)\n",
+        "pd.set_option('display.width', 1000)"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "2OhSFdeNbF24",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 309
+        },
+        "outputId": "9b0ecb10-de8c-48f7-88cb-609ebe550e4f"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.head()"
+      ],
+      "execution_count": 20,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>timestamp</th>\n",
+              "      <th>respondents</th>\n",
+              "      <th>category</th>\n",
+              "      <th>link</th>\n",
+              "      <th>average</th>\n",
+              "      <th>mean</th>\n",
+              "      <th>median</th>\n",
+              "      <th>1_votes</th>\n",
+              "      <th>2_votes</th>\n",
+              "      <th>3_votes</th>\n",
+              "      <th>4_votes</th>\n",
+              "      <th>5_votes</th>\n",
+              "      <th>6_votes</th>\n",
+              "      <th>7_votes</th>\n",
+              "      <th>8_votes</th>\n",
+              "      <th>9_votes</th>\n",
+              "      <th>10_votes</th>\n",
+              "      <th>1_pct</th>\n",
+              "      <th>2_pct</th>\n",
+              "      <th>3_pct</th>\n",
+              "      <th>4_pct</th>\n",
+              "      <th>5_pct</th>\n",
+              "      <th>6_pct</th>\n",
+              "      <th>7_pct</th>\n",
+              "      <th>8_pct</th>\n",
+              "      <th>9_pct</th>\n",
+              "      <th>10_pct</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>2017-07-17 12:28:32.785639</td>\n",
+              "      <td>402</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>197</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>3</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>11</td>\n",
+              "      <td>8</td>\n",
+              "      <td>20</td>\n",
+              "      <td>135</td>\n",
+              "      <td>49.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>33.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>2017-07-17 12:28:33.025600</td>\n",
+              "      <td>78</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>10</td>\n",
+              "      <td>16</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>3</td>\n",
+              "      <td>49</td>\n",
+              "      <td>20.5</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>62.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>2017-07-17 12:28:33.273919</td>\n",
+              "      <td>4</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>50.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>25.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>2017-07-17 12:28:33.495325</td>\n",
+              "      <td>4</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>50.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>25.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>2017-07-17 12:28:33.722849</td>\n",
+              "      <td>130</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>9</td>\n",
+              "      <td>41</td>\n",
+              "      <td>0</td>\n",
+              "      <td>3</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>64</td>\n",
+              "      <td>31.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>49.2</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                    timestamp  respondents        category                                               link  average  mean  median  1_votes  2_votes  3_votes  4_votes  5_votes  6_votes  7_votes  8_votes  9_votes  10_votes  1_pct  2_pct  3_pct  4_pct  5_pct  6_pct  7_pct  8_pct  9_pct  10_pct\n",
+              "0  2017-07-17 12:28:32.785639          402           Males   http://www.imdb.com/title/tt6322922/ratings-male      4.6   5.0       2      197        7        7        3        7        7       11        8       20       135   49.0    1.7    1.7    0.7    1.7    1.7    2.7    2.0    5.0    33.6\n",
+              "1  2017-07-17 12:28:33.025600           78         Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.7      10       16        1        0        1        1        0        3        4        3        49   20.5    1.3    0.0    1.3    1.3    0.0    3.8    5.1    3.8    62.8\n",
+              "2  2017-07-17 12:28:33.273919            4   Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.2   4.2       3        2        0        0        0        1        0        0        0        0         1   50.0    0.0    0.0    0.0   25.0    0.0    0.0    0.0    0.0    25.0\n",
+              "3  2017-07-17 12:28:33.495325            4  Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      4.2   4.2       3        2        0        0        0        1        0        0        0        0         1   50.0    0.0    0.0    0.0   25.0    0.0    0.0    0.0    0.0    25.0\n",
+              "4  2017-07-17 12:28:33.722849          130      Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.3   6.5       9       41        0        3        1        2        3        6        4        6        64   31.5    0.0    2.3    0.8    1.5    2.3    4.6    3.1    4.6    49.2"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 20
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "YidxIskEbHL5",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 886
+        },
+        "outputId": "a1520ccb-c5b7-47e7-cdf3-417b7e59b67a"
+      },
+      "cell_type": "code",
+      "source": [
+        "# Another way to check all columns\n",
+        "\n",
+        "df.sample(1).T"
+      ],
+      "execution_count": 21,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>31360</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>timestamp</th>\n",
+              "      <td>2017-08-12 04:00:03.094305</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>respondents</th>\n",
+              "      <td>2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>category</th>\n",
+              "      <td>Females under 18</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>link</th>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>average</th>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>median</th>\n",
+              "      <td>1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1_votes</th>\n",
+              "      <td>2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2_votes</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3_votes</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4_votes</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5_votes</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6_votes</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7_votes</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8_votes</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>9_votes</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10_votes</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1_pct</th>\n",
+              "      <td>100</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2_pct</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3_pct</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4_pct</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5_pct</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6_pct</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7_pct</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8_pct</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>9_pct</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10_pct</th>\n",
+              "      <td>0</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                                                         31360\n",
+              "timestamp                           2017-08-12 04:00:03.094305\n",
+              "respondents                                                  2\n",
+              "category                                      Females under 18\n",
+              "link         http://www.imdb.com/title/tt6322922/ratings-fe...\n",
+              "average                                                      1\n",
+              "mean                                                         1\n",
+              "median                                                       1\n",
+              "1_votes                                                      2\n",
+              "2_votes                                                      0\n",
+              "3_votes                                                      0\n",
+              "4_votes                                                      0\n",
+              "5_votes                                                      0\n",
+              "6_votes                                                      0\n",
+              "7_votes                                                      0\n",
+              "8_votes                                                      0\n",
+              "9_votes                                                      0\n",
+              "10_votes                                                     0\n",
+              "1_pct                                                      100\n",
+              "2_pct                                                        0\n",
+              "3_pct                                                        0\n",
+              "4_pct                                                        0\n",
+              "5_pct                                                        0\n",
+              "6_pct                                                        0\n",
+              "7_pct                                                        0\n",
+              "8_pct                                                        0\n",
+              "9_pct                                                        0\n",
+              "10_pct                                                       0"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 21
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "mB81AZKjbZ5e",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 102
+        },
+        "outputId": "001d96cd-f2d2-4ebe-b8d2-26e72a95f730"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.timestamp.describe()"
+      ],
+      "execution_count": 22,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "count                          80053\n",
+              "unique                         80053\n",
+              "top       2017-08-20 18:20:02.191280\n",
+              "freq                               1\n",
+              "Name: timestamp, dtype: object"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 22
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "fSLijyLScl8f",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "df.timestamp = pd.to_datetime(df.timestamp)"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "fvWRXeZJcwE-",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 136
+        },
+        "outputId": "762cba8d-6b66-4d5d-9b6b-2ee772cf3783"
+      },
+      "cell_type": "code",
+      "source": [
+        "# To get first and last dates\n",
+        "\n",
+        "df.timestamp.describe()"
+      ],
+      "execution_count": 24,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "count                          80053\n",
+              "unique                         80053\n",
+              "top       2017-07-24 23:00:02.760781\n",
+              "freq                               1\n",
+              "first     2017-07-17 12:28:32.785639\n",
+              "last      2017-08-29 23:10:06.218251\n",
+              "Name: timestamp, dtype: object"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 24
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "l6gxXkDQcySG",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "df.set_index('timestamp', inplace=True)"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "YhROKOJedLJe",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 340
+        },
+        "outputId": "1a1eba5b-44a3-4a98-b39a-93b0336a9821"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.head()"
+      ],
+      "execution_count": 26,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>respondents</th>\n",
+              "      <th>category</th>\n",
+              "      <th>link</th>\n",
+              "      <th>average</th>\n",
+              "      <th>mean</th>\n",
+              "      <th>median</th>\n",
+              "      <th>1_votes</th>\n",
+              "      <th>2_votes</th>\n",
+              "      <th>3_votes</th>\n",
+              "      <th>4_votes</th>\n",
+              "      <th>5_votes</th>\n",
+              "      <th>6_votes</th>\n",
+              "      <th>7_votes</th>\n",
+              "      <th>8_votes</th>\n",
+              "      <th>9_votes</th>\n",
+              "      <th>10_votes</th>\n",
+              "      <th>1_pct</th>\n",
+              "      <th>2_pct</th>\n",
+              "      <th>3_pct</th>\n",
+              "      <th>4_pct</th>\n",
+              "      <th>5_pct</th>\n",
+              "      <th>6_pct</th>\n",
+              "      <th>7_pct</th>\n",
+              "      <th>8_pct</th>\n",
+              "      <th>9_pct</th>\n",
+              "      <th>10_pct</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>timestamp</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 12:28:32.785639</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>197</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>3</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>11</td>\n",
+              "      <td>8</td>\n",
+              "      <td>20</td>\n",
+              "      <td>135</td>\n",
+              "      <td>49.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>33.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 12:28:33.025600</th>\n",
+              "      <td>78</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>10</td>\n",
+              "      <td>16</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>3</td>\n",
+              "      <td>49</td>\n",
+              "      <td>20.5</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>62.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 12:28:33.273919</th>\n",
+              "      <td>4</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>50.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>25.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 12:28:33.495325</th>\n",
+              "      <td>4</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>50.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>25.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 12:28:33.722849</th>\n",
+              "      <td>130</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>9</td>\n",
+              "      <td>41</td>\n",
+              "      <td>0</td>\n",
+              "      <td>3</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>64</td>\n",
+              "      <td>31.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>2.3</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>49.2</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                            respondents        category                                               link  average  mean  median  1_votes  2_votes  3_votes  4_votes  5_votes  6_votes  7_votes  8_votes  9_votes  10_votes  1_pct  2_pct  3_pct  4_pct  5_pct  6_pct  7_pct  8_pct  9_pct  10_pct\n",
+              "timestamp                                                                                                                                                                                                                                                                                          \n",
+              "2017-07-17 12:28:32.785639          402           Males   http://www.imdb.com/title/tt6322922/ratings-male      4.6   5.0       2      197        7        7        3        7        7       11        8       20       135   49.0    1.7    1.7    0.7    1.7    1.7    2.7    2.0    5.0    33.6\n",
+              "2017-07-17 12:28:33.025600           78         Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.7      10       16        1        0        1        1        0        3        4        3        49   20.5    1.3    0.0    1.3    1.3    0.0    3.8    5.1    3.8    62.8\n",
+              "2017-07-17 12:28:33.273919            4   Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.2   4.2       3        2        0        0        0        1        0        0        0        0         1   50.0    0.0    0.0    0.0   25.0    0.0    0.0    0.0    0.0    25.0\n",
+              "2017-07-17 12:28:33.495325            4  Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      4.2   4.2       3        2        0        0        0        1        0        0        0        0         1   50.0    0.0    0.0    0.0   25.0    0.0    0.0    0.0    0.0    25.0\n",
+              "2017-07-17 12:28:33.722849          130      Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.3   6.5       9       41        0        3        1        2        3        6        4        6        64   31.5    0.0    2.3    0.8    1.5    2.3    4.6    3.1    4.6    49.2"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 26
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "CetJm81CdNYU",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 25928
+        },
+        "outputId": "a7d99169-e301-457f-cae3-bdce94606a55"
+      },
+      "cell_type": "code",
+      "source": [
+        "# To see the last date you can simply pass in a string of the index\n",
+        "\n",
+        "df['2017-08-29']"
+      ],
+      "execution_count": 27,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>respondents</th>\n",
+              "      <th>category</th>\n",
+              "      <th>link</th>\n",
+              "      <th>average</th>\n",
+              "      <th>mean</th>\n",
+              "      <th>median</th>\n",
+              "      <th>1_votes</th>\n",
+              "      <th>2_votes</th>\n",
+              "      <th>3_votes</th>\n",
+              "      <th>4_votes</th>\n",
+              "      <th>5_votes</th>\n",
+              "      <th>6_votes</th>\n",
+              "      <th>7_votes</th>\n",
+              "      <th>8_votes</th>\n",
+              "      <th>9_votes</th>\n",
+              "      <th>10_votes</th>\n",
+              "      <th>1_pct</th>\n",
+              "      <th>2_pct</th>\n",
+              "      <th>3_pct</th>\n",
+              "      <th>4_pct</th>\n",
+              "      <th>5_pct</th>\n",
+              "      <th>6_pct</th>\n",
+              "      <th>7_pct</th>\n",
+              "      <th>8_pct</th>\n",
+              "      <th>9_pct</th>\n",
+              "      <th>10_pct</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>timestamp</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:02.248882</th>\n",
+              "      <td>1682</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>50</td>\n",
+              "      <td>29</td>\n",
+              "      <td>12</td>\n",
+              "      <td>42</td>\n",
+              "      <td>79</td>\n",
+              "      <td>107</td>\n",
+              "      <td>90</td>\n",
+              "      <td>83</td>\n",
+              "      <td>519</td>\n",
+              "      <td>39.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:02.499363</th>\n",
+              "      <td>257</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>53</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>13</td>\n",
+              "      <td>26</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.6</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>51.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:02.727204</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:03.024270</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:03.248207</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:03.441529</th>\n",
+              "      <td>450</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>17</td>\n",
+              "      <td>24</td>\n",
+              "      <td>35</td>\n",
+              "      <td>28</td>\n",
+              "      <td>23</td>\n",
+              "      <td>190</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>7.8</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:03.636825</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>163</td>\n",
+              "      <td>27.9</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>8.2</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:03.839446</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>56.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:04.030663</th>\n",
+              "      <td>771</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>36</td>\n",
+              "      <td>53</td>\n",
+              "      <td>38</td>\n",
+              "      <td>49</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.2</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>32.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:04.225962</th>\n",
+              "      <td>679</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>51</td>\n",
+              "      <td>34</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.8</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:04.539312</th>\n",
+              "      <td>76</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>9</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>11.8</td>\n",
+              "      <td>61.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:04.776104</th>\n",
+              "      <td>539</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>245</td>\n",
+              "      <td>28</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>132</td>\n",
+              "      <td>45.5</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:04.973766</th>\n",
+              "      <td>421</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>25</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>86</td>\n",
+              "      <td>49.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>20.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:05.176998</th>\n",
+              "      <td>109</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>9</td>\n",
+              "      <td>31</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.4</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>13.8</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:05.366554</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:05.556598</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:05.767397</th>\n",
+              "      <td>922</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>33</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>58</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.9</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>28.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:05.964362</th>\n",
+              "      <td>556</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>44</td>\n",
+              "      <td>50</td>\n",
+              "      <td>35</td>\n",
+              "      <td>35</td>\n",
+              "      <td>202</td>\n",
+              "      <td>23.2</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>36.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:00:06.288486</th>\n",
+              "      <td>2646</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1020</td>\n",
+              "      <td>67</td>\n",
+              "      <td>39</td>\n",
+              "      <td>24</td>\n",
+              "      <td>55</td>\n",
+              "      <td>107</td>\n",
+              "      <td>152</td>\n",
+              "      <td>145</td>\n",
+              "      <td>144</td>\n",
+              "      <td>893</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:02.437655</th>\n",
+              "      <td>1682</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>50</td>\n",
+              "      <td>29</td>\n",
+              "      <td>12</td>\n",
+              "      <td>42</td>\n",
+              "      <td>79</td>\n",
+              "      <td>107</td>\n",
+              "      <td>90</td>\n",
+              "      <td>83</td>\n",
+              "      <td>519</td>\n",
+              "      <td>39.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:02.715850</th>\n",
+              "      <td>257</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>53</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>13</td>\n",
+              "      <td>26</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.6</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>51.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:02.974317</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:03.242796</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:03.471974</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:03.701915</th>\n",
+              "      <td>450</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>17</td>\n",
+              "      <td>24</td>\n",
+              "      <td>35</td>\n",
+              "      <td>28</td>\n",
+              "      <td>23</td>\n",
+              "      <td>190</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>7.8</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:03.922894</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>163</td>\n",
+              "      <td>27.9</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>8.2</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:04.168584</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>56.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:04.391835</th>\n",
+              "      <td>771</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>36</td>\n",
+              "      <td>53</td>\n",
+              "      <td>38</td>\n",
+              "      <td>49</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.2</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>32.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:04.630956</th>\n",
+              "      <td>679</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>51</td>\n",
+              "      <td>34</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.8</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:04.819991</th>\n",
+              "      <td>76</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>9</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>11.8</td>\n",
+              "      <td>61.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:05.054859</th>\n",
+              "      <td>539</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>245</td>\n",
+              "      <td>28</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>132</td>\n",
+              "      <td>45.5</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:05.269501</th>\n",
+              "      <td>421</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>25</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>86</td>\n",
+              "      <td>49.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>20.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:05.649008</th>\n",
+              "      <td>109</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>9</td>\n",
+              "      <td>31</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.4</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>13.8</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:05.841604</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:06.023704</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:06.282038</th>\n",
+              "      <td>922</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>33</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>58</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.9</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>28.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:06.532691</th>\n",
+              "      <td>556</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>44</td>\n",
+              "      <td>50</td>\n",
+              "      <td>35</td>\n",
+              "      <td>35</td>\n",
+              "      <td>202</td>\n",
+              "      <td>23.2</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>36.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:10:06.763461</th>\n",
+              "      <td>2646</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1020</td>\n",
+              "      <td>67</td>\n",
+              "      <td>39</td>\n",
+              "      <td>24</td>\n",
+              "      <td>55</td>\n",
+              "      <td>107</td>\n",
+              "      <td>152</td>\n",
+              "      <td>145</td>\n",
+              "      <td>144</td>\n",
+              "      <td>893</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:02.034043</th>\n",
+              "      <td>1682</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>50</td>\n",
+              "      <td>29</td>\n",
+              "      <td>12</td>\n",
+              "      <td>42</td>\n",
+              "      <td>79</td>\n",
+              "      <td>107</td>\n",
+              "      <td>90</td>\n",
+              "      <td>83</td>\n",
+              "      <td>519</td>\n",
+              "      <td>39.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:02.232589</th>\n",
+              "      <td>257</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>53</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>13</td>\n",
+              "      <td>26</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.6</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>51.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:02.497579</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:02.725896</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:02.938388</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:03.127723</th>\n",
+              "      <td>450</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>17</td>\n",
+              "      <td>24</td>\n",
+              "      <td>35</td>\n",
+              "      <td>28</td>\n",
+              "      <td>23</td>\n",
+              "      <td>190</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>7.8</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:03.309894</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>163</td>\n",
+              "      <td>27.9</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>8.2</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:03.530019</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>56.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:03.736274</th>\n",
+              "      <td>771</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>36</td>\n",
+              "      <td>53</td>\n",
+              "      <td>38</td>\n",
+              "      <td>49</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.2</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>32.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:03.934993</th>\n",
+              "      <td>679</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>51</td>\n",
+              "      <td>34</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.8</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:04.140468</th>\n",
+              "      <td>76</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>9</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>11.8</td>\n",
+              "      <td>61.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:04.323908</th>\n",
+              "      <td>539</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>245</td>\n",
+              "      <td>28</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>132</td>\n",
+              "      <td>45.5</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:04.520304</th>\n",
+              "      <td>421</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>25</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>86</td>\n",
+              "      <td>49.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>20.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:04.719826</th>\n",
+              "      <td>109</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>9</td>\n",
+              "      <td>31</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.4</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>13.8</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:04.963407</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:05.153931</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:05.362446</th>\n",
+              "      <td>922</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>33</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>58</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.9</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>28.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:05.561969</th>\n",
+              "      <td>556</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>44</td>\n",
+              "      <td>50</td>\n",
+              "      <td>35</td>\n",
+              "      <td>35</td>\n",
+              "      <td>202</td>\n",
+              "      <td>23.2</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>36.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:20:05.745307</th>\n",
+              "      <td>2646</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1020</td>\n",
+              "      <td>67</td>\n",
+              "      <td>39</td>\n",
+              "      <td>24</td>\n",
+              "      <td>55</td>\n",
+              "      <td>107</td>\n",
+              "      <td>152</td>\n",
+              "      <td>145</td>\n",
+              "      <td>144</td>\n",
+              "      <td>893</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:01.871400</th>\n",
+              "      <td>1682</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>50</td>\n",
+              "      <td>29</td>\n",
+              "      <td>12</td>\n",
+              "      <td>42</td>\n",
+              "      <td>79</td>\n",
+              "      <td>107</td>\n",
+              "      <td>90</td>\n",
+              "      <td>83</td>\n",
+              "      <td>519</td>\n",
+              "      <td>39.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:02.159544</th>\n",
+              "      <td>257</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>53</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>13</td>\n",
+              "      <td>26</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.6</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>51.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:02.404083</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:02.600767</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:02.793468</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:02.988056</th>\n",
+              "      <td>450</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>17</td>\n",
+              "      <td>24</td>\n",
+              "      <td>35</td>\n",
+              "      <td>28</td>\n",
+              "      <td>23</td>\n",
+              "      <td>190</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>7.8</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:03.183027</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>163</td>\n",
+              "      <td>27.9</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>8.2</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:03.444337</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>56.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:03.646540</th>\n",
+              "      <td>771</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>36</td>\n",
+              "      <td>53</td>\n",
+              "      <td>38</td>\n",
+              "      <td>49</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.2</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>32.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:03.871460</th>\n",
+              "      <td>679</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>51</td>\n",
+              "      <td>34</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.8</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:04.094055</th>\n",
+              "      <td>76</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>9</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>11.8</td>\n",
+              "      <td>61.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:04.354898</th>\n",
+              "      <td>539</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>245</td>\n",
+              "      <td>28</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>132</td>\n",
+              "      <td>45.5</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:04.582523</th>\n",
+              "      <td>421</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>25</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>86</td>\n",
+              "      <td>49.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>20.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:04.781039</th>\n",
+              "      <td>109</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>9</td>\n",
+              "      <td>31</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.4</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>13.8</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:04.980539</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:05.175484</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:05.398486</th>\n",
+              "      <td>922</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>33</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>58</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.9</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>28.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:05.628000</th>\n",
+              "      <td>556</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>44</td>\n",
+              "      <td>50</td>\n",
+              "      <td>35</td>\n",
+              "      <td>35</td>\n",
+              "      <td>202</td>\n",
+              "      <td>23.2</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>36.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:30:05.818552</th>\n",
+              "      <td>2646</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1020</td>\n",
+              "      <td>67</td>\n",
+              "      <td>39</td>\n",
+              "      <td>24</td>\n",
+              "      <td>55</td>\n",
+              "      <td>107</td>\n",
+              "      <td>152</td>\n",
+              "      <td>145</td>\n",
+              "      <td>144</td>\n",
+              "      <td>893</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:01.777544</th>\n",
+              "      <td>1682</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>50</td>\n",
+              "      <td>29</td>\n",
+              "      <td>12</td>\n",
+              "      <td>42</td>\n",
+              "      <td>79</td>\n",
+              "      <td>107</td>\n",
+              "      <td>90</td>\n",
+              "      <td>83</td>\n",
+              "      <td>519</td>\n",
+              "      <td>39.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:02.070015</th>\n",
+              "      <td>257</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>53</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>13</td>\n",
+              "      <td>26</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.6</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>51.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:02.317815</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:02.684643</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:02.935713</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:03.175592</th>\n",
+              "      <td>450</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>17</td>\n",
+              "      <td>24</td>\n",
+              "      <td>35</td>\n",
+              "      <td>28</td>\n",
+              "      <td>23</td>\n",
+              "      <td>190</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>7.8</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:03.433296</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>163</td>\n",
+              "      <td>27.9</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>8.2</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:03.660586</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>56.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:03.843442</th>\n",
+              "      <td>771</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>36</td>\n",
+              "      <td>53</td>\n",
+              "      <td>38</td>\n",
+              "      <td>49</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.2</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>32.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:04.080495</th>\n",
+              "      <td>679</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>51</td>\n",
+              "      <td>34</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.8</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:04.319020</th>\n",
+              "      <td>76</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>9</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>11.8</td>\n",
+              "      <td>61.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:04.512127</th>\n",
+              "      <td>539</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>245</td>\n",
+              "      <td>28</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>132</td>\n",
+              "      <td>45.5</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:04.778000</th>\n",
+              "      <td>421</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>25</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>86</td>\n",
+              "      <td>49.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>20.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:04.971184</th>\n",
+              "      <td>109</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>9</td>\n",
+              "      <td>31</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.4</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>13.8</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:05.225766</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:05.465175</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:05.703539</th>\n",
+              "      <td>922</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>33</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>58</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.9</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>28.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:05.936422</th>\n",
+              "      <td>556</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>44</td>\n",
+              "      <td>50</td>\n",
+              "      <td>35</td>\n",
+              "      <td>35</td>\n",
+              "      <td>202</td>\n",
+              "      <td>23.2</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>36.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:40:06.180928</th>\n",
+              "      <td>2646</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1020</td>\n",
+              "      <td>67</td>\n",
+              "      <td>39</td>\n",
+              "      <td>24</td>\n",
+              "      <td>55</td>\n",
+              "      <td>107</td>\n",
+              "      <td>152</td>\n",
+              "      <td>145</td>\n",
+              "      <td>144</td>\n",
+              "      <td>893</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:02.024293</th>\n",
+              "      <td>1682</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>50</td>\n",
+              "      <td>29</td>\n",
+              "      <td>12</td>\n",
+              "      <td>42</td>\n",
+              "      <td>79</td>\n",
+              "      <td>107</td>\n",
+              "      <td>90</td>\n",
+              "      <td>83</td>\n",
+              "      <td>519</td>\n",
+              "      <td>39.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:02.264287</th>\n",
+              "      <td>257</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>53</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>13</td>\n",
+              "      <td>26</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.6</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>51.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:02.481213</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:02.721953</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:02.910316</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:03.114569</th>\n",
+              "      <td>450</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>17</td>\n",
+              "      <td>24</td>\n",
+              "      <td>35</td>\n",
+              "      <td>28</td>\n",
+              "      <td>23</td>\n",
+              "      <td>190</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>7.8</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:03.382092</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>163</td>\n",
+              "      <td>27.9</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>8.2</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:03.575066</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>56.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:03.762056</th>\n",
+              "      <td>771</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>36</td>\n",
+              "      <td>53</td>\n",
+              "      <td>38</td>\n",
+              "      <td>49</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.2</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>32.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:03.953844</th>\n",
+              "      <td>679</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>51</td>\n",
+              "      <td>34</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.8</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:04.144501</th>\n",
+              "      <td>76</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>9</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>11.8</td>\n",
+              "      <td>61.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:04.326927</th>\n",
+              "      <td>539</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>245</td>\n",
+              "      <td>28</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>132</td>\n",
+              "      <td>45.5</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:04.560773</th>\n",
+              "      <td>421</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>25</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>86</td>\n",
+              "      <td>49.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>20.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:04.749542</th>\n",
+              "      <td>109</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>9</td>\n",
+              "      <td>31</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.4</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>13.8</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:04.973101</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:05.163635</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:05.405105</th>\n",
+              "      <td>922</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>33</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>58</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.9</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>28.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:05.589963</th>\n",
+              "      <td>556</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>44</td>\n",
+              "      <td>50</td>\n",
+              "      <td>35</td>\n",
+              "      <td>35</td>\n",
+              "      <td>202</td>\n",
+              "      <td>23.2</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>36.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 00:50:05.826082</th>\n",
+              "      <td>2646</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1020</td>\n",
+              "      <td>67</td>\n",
+              "      <td>39</td>\n",
+              "      <td>24</td>\n",
+              "      <td>55</td>\n",
+              "      <td>107</td>\n",
+              "      <td>152</td>\n",
+              "      <td>145</td>\n",
+              "      <td>144</td>\n",
+              "      <td>893</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:01.681576</th>\n",
+              "      <td>1682</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>50</td>\n",
+              "      <td>29</td>\n",
+              "      <td>12</td>\n",
+              "      <td>42</td>\n",
+              "      <td>79</td>\n",
+              "      <td>107</td>\n",
+              "      <td>90</td>\n",
+              "      <td>83</td>\n",
+              "      <td>519</td>\n",
+              "      <td>39.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:01.880347</th>\n",
+              "      <td>257</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>53</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>13</td>\n",
+              "      <td>26</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.6</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>51.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:02.086574</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:02.349999</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:02.609609</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:02.813114</th>\n",
+              "      <td>450</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>17</td>\n",
+              "      <td>24</td>\n",
+              "      <td>35</td>\n",
+              "      <td>28</td>\n",
+              "      <td>23</td>\n",
+              "      <td>190</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>7.8</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:03.026884</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>163</td>\n",
+              "      <td>27.9</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>8.2</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:03.226882</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>56.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:03.453908</th>\n",
+              "      <td>771</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>36</td>\n",
+              "      <td>53</td>\n",
+              "      <td>38</td>\n",
+              "      <td>49</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.2</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>32.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:03.681279</th>\n",
+              "      <td>679</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>51</td>\n",
+              "      <td>34</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.8</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:03.881050</th>\n",
+              "      <td>76</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>9</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>11.8</td>\n",
+              "      <td>61.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:04.067424</th>\n",
+              "      <td>539</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>245</td>\n",
+              "      <td>28</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>132</td>\n",
+              "      <td>45.5</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:04.273558</th>\n",
+              "      <td>421</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>25</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>86</td>\n",
+              "      <td>49.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>20.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:04.472640</th>\n",
+              "      <td>109</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>9</td>\n",
+              "      <td>31</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.4</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>13.8</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:04.662203</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:04.858797</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:05.098105</th>\n",
+              "      <td>922</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>33</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>58</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.9</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>28.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:05.291988</th>\n",
+              "      <td>556</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>44</td>\n",
+              "      <td>50</td>\n",
+              "      <td>35</td>\n",
+              "      <td>35</td>\n",
+              "      <td>202</td>\n",
+              "      <td>23.2</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>36.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:00:05.483262</th>\n",
+              "      <td>2646</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1020</td>\n",
+              "      <td>67</td>\n",
+              "      <td>39</td>\n",
+              "      <td>24</td>\n",
+              "      <td>55</td>\n",
+              "      <td>107</td>\n",
+              "      <td>152</td>\n",
+              "      <td>145</td>\n",
+              "      <td>144</td>\n",
+              "      <td>893</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:01.752176</th>\n",
+              "      <td>1682</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>50</td>\n",
+              "      <td>29</td>\n",
+              "      <td>12</td>\n",
+              "      <td>42</td>\n",
+              "      <td>79</td>\n",
+              "      <td>107</td>\n",
+              "      <td>90</td>\n",
+              "      <td>83</td>\n",
+              "      <td>519</td>\n",
+              "      <td>39.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:02.002477</th>\n",
+              "      <td>257</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>53</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>13</td>\n",
+              "      <td>26</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.6</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>51.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:02.247123</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:02.457100</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:02.683877</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:02.918030</th>\n",
+              "      <td>450</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>17</td>\n",
+              "      <td>24</td>\n",
+              "      <td>35</td>\n",
+              "      <td>28</td>\n",
+              "      <td>23</td>\n",
+              "      <td>190</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>7.8</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:03.169176</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>163</td>\n",
+              "      <td>27.9</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>8.2</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:03.436911</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>56.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:03.715587</th>\n",
+              "      <td>771</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>36</td>\n",
+              "      <td>53</td>\n",
+              "      <td>38</td>\n",
+              "      <td>49</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.2</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>32.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:03.945915</th>\n",
+              "      <td>679</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>51</td>\n",
+              "      <td>34</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.8</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:04.207970</th>\n",
+              "      <td>76</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>9</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>11.8</td>\n",
+              "      <td>61.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:04.488149</th>\n",
+              "      <td>539</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>245</td>\n",
+              "      <td>28</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>132</td>\n",
+              "      <td>45.5</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:04.672181</th>\n",
+              "      <td>421</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>25</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>86</td>\n",
+              "      <td>49.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>20.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:04.950135</th>\n",
+              "      <td>109</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>9</td>\n",
+              "      <td>31</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.4</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>13.8</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:05.180546</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:05.405598</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:05.607947</th>\n",
+              "      <td>922</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>33</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>58</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.9</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>28.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:05.844494</th>\n",
+              "      <td>556</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>44</td>\n",
+              "      <td>50</td>\n",
+              "      <td>35</td>\n",
+              "      <td>35</td>\n",
+              "      <td>202</td>\n",
+              "      <td>23.2</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>36.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:10:06.038644</th>\n",
+              "      <td>2646</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1020</td>\n",
+              "      <td>67</td>\n",
+              "      <td>39</td>\n",
+              "      <td>24</td>\n",
+              "      <td>55</td>\n",
+              "      <td>107</td>\n",
+              "      <td>152</td>\n",
+              "      <td>145</td>\n",
+              "      <td>144</td>\n",
+              "      <td>893</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:02.147356</th>\n",
+              "      <td>1682</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>50</td>\n",
+              "      <td>29</td>\n",
+              "      <td>12</td>\n",
+              "      <td>42</td>\n",
+              "      <td>79</td>\n",
+              "      <td>107</td>\n",
+              "      <td>90</td>\n",
+              "      <td>83</td>\n",
+              "      <td>519</td>\n",
+              "      <td>39.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:02.369364</th>\n",
+              "      <td>257</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>53</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>13</td>\n",
+              "      <td>26</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.6</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>51.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:02.552299</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:02.757978</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:03.001924</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:03.211374</th>\n",
+              "      <td>450</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>17</td>\n",
+              "      <td>24</td>\n",
+              "      <td>35</td>\n",
+              "      <td>28</td>\n",
+              "      <td>23</td>\n",
+              "      <td>190</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>7.8</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:03.402492</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>163</td>\n",
+              "      <td>27.9</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>8.2</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:03.585217</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>56.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:03.787002</th>\n",
+              "      <td>771</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>36</td>\n",
+              "      <td>53</td>\n",
+              "      <td>38</td>\n",
+              "      <td>49</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.2</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>32.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:03.986562</th>\n",
+              "      <td>679</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>51</td>\n",
+              "      <td>34</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.8</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:04.185062</th>\n",
+              "      <td>76</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>9</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>11.8</td>\n",
+              "      <td>61.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:04.419800</th>\n",
+              "      <td>539</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>245</td>\n",
+              "      <td>28</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>132</td>\n",
+              "      <td>45.5</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:04.604515</th>\n",
+              "      <td>421</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>25</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>86</td>\n",
+              "      <td>49.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>20.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:04.822060</th>\n",
+              "      <td>109</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>9</td>\n",
+              "      <td>31</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.4</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>13.8</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:05.011733</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:05.202756</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:05.398442</th>\n",
+              "      <td>922</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>33</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>58</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.9</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>28.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:05.626917</th>\n",
+              "      <td>556</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>44</td>\n",
+              "      <td>50</td>\n",
+              "      <td>35</td>\n",
+              "      <td>35</td>\n",
+              "      <td>202</td>\n",
+              "      <td>23.2</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>36.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:20:05.807155</th>\n",
+              "      <td>2646</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1020</td>\n",
+              "      <td>67</td>\n",
+              "      <td>39</td>\n",
+              "      <td>24</td>\n",
+              "      <td>55</td>\n",
+              "      <td>107</td>\n",
+              "      <td>152</td>\n",
+              "      <td>145</td>\n",
+              "      <td>144</td>\n",
+              "      <td>893</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:01.580458</th>\n",
+              "      <td>1682</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>50</td>\n",
+              "      <td>29</td>\n",
+              "      <td>12</td>\n",
+              "      <td>42</td>\n",
+              "      <td>79</td>\n",
+              "      <td>107</td>\n",
+              "      <td>90</td>\n",
+              "      <td>83</td>\n",
+              "      <td>519</td>\n",
+              "      <td>39.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:01.788808</th>\n",
+              "      <td>257</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>53</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>13</td>\n",
+              "      <td>26</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.6</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>51.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:02.012633</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:02.207051</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:02.425601</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:02.674920</th>\n",
+              "      <td>450</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>17</td>\n",
+              "      <td>24</td>\n",
+              "      <td>35</td>\n",
+              "      <td>28</td>\n",
+              "      <td>23</td>\n",
+              "      <td>190</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>7.8</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:02.888597</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>163</td>\n",
+              "      <td>27.9</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>8.2</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:03.081142</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>56.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:03.284310</th>\n",
+              "      <td>771</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>36</td>\n",
+              "      <td>53</td>\n",
+              "      <td>38</td>\n",
+              "      <td>49</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.2</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>32.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:03.478050</th>\n",
+              "      <td>679</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>51</td>\n",
+              "      <td>34</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.8</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:03.672089</th>\n",
+              "      <td>76</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>9</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>11.8</td>\n",
+              "      <td>61.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:03.864705</th>\n",
+              "      <td>539</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>245</td>\n",
+              "      <td>28</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>132</td>\n",
+              "      <td>45.5</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:04.057669</th>\n",
+              "      <td>421</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>25</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>86</td>\n",
+              "      <td>49.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>20.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:04.250093</th>\n",
+              "      <td>109</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>9</td>\n",
+              "      <td>31</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.4</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>13.8</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:04.442731</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:04.639556</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:04.849472</th>\n",
+              "      <td>922</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>33</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>58</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.9</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>28.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:05.076116</th>\n",
+              "      <td>556</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>44</td>\n",
+              "      <td>50</td>\n",
+              "      <td>35</td>\n",
+              "      <td>35</td>\n",
+              "      <td>202</td>\n",
+              "      <td>23.2</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>36.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:30:05.317814</th>\n",
+              "      <td>2646</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1020</td>\n",
+              "      <td>67</td>\n",
+              "      <td>39</td>\n",
+              "      <td>24</td>\n",
+              "      <td>55</td>\n",
+              "      <td>107</td>\n",
+              "      <td>152</td>\n",
+              "      <td>145</td>\n",
+              "      <td>144</td>\n",
+              "      <td>893</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:02.481739</th>\n",
+              "      <td>1682</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>50</td>\n",
+              "      <td>29</td>\n",
+              "      <td>12</td>\n",
+              "      <td>42</td>\n",
+              "      <td>79</td>\n",
+              "      <td>107</td>\n",
+              "      <td>90</td>\n",
+              "      <td>83</td>\n",
+              "      <td>519</td>\n",
+              "      <td>39.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:02.673113</th>\n",
+              "      <td>257</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>53</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>13</td>\n",
+              "      <td>26</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.6</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>51.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:02.893440</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:03.130513</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:03.327975</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:03.550468</th>\n",
+              "      <td>450</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>17</td>\n",
+              "      <td>24</td>\n",
+              "      <td>35</td>\n",
+              "      <td>28</td>\n",
+              "      <td>23</td>\n",
+              "      <td>190</td>\n",
+              "      <td>26.0</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>7.8</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:03.785283</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>163</td>\n",
+              "      <td>27.9</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>8.2</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:03.977957</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>56.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:04.235228</th>\n",
+              "      <td>771</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>36</td>\n",
+              "      <td>53</td>\n",
+              "      <td>38</td>\n",
+              "      <td>49</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.2</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>32.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:04.458518</th>\n",
+              "      <td>679</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>51</td>\n",
+              "      <td>34</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.8</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:04.643971</th>\n",
+              "      <td>76</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>9</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>11.8</td>\n",
+              "      <td>61.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:04.880736</th>\n",
+              "      <td>539</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>245</td>\n",
+              "      <td>28</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>132</td>\n",
+              "      <td>45.5</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:05.126440</th>\n",
+              "      <td>421</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>25</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>86</td>\n",
+              "      <td>49.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>20.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:05.385812</th>\n",
+              "      <td>109</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>9</td>\n",
+              "      <td>31</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.4</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>13.8</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:05.616117</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:05.850911</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:06.089198</th>\n",
+              "      <td>922</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>33</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>58</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.9</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>28.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:06.355221</th>\n",
+              "      <td>556</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>44</td>\n",
+              "      <td>50</td>\n",
+              "      <td>35</td>\n",
+              "      <td>35</td>\n",
+              "      <td>202</td>\n",
+              "      <td>23.2</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>36.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:40:06.544065</th>\n",
+              "      <td>2646</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1020</td>\n",
+              "      <td>67</td>\n",
+              "      <td>39</td>\n",
+              "      <td>24</td>\n",
+              "      <td>55</td>\n",
+              "      <td>107</td>\n",
+              "      <td>152</td>\n",
+              "      <td>145</td>\n",
+              "      <td>144</td>\n",
+              "      <td>893</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:01.596059</th>\n",
+              "      <td>1682</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>50</td>\n",
+              "      <td>29</td>\n",
+              "      <td>12</td>\n",
+              "      <td>42</td>\n",
+              "      <td>79</td>\n",
+              "      <td>107</td>\n",
+              "      <td>90</td>\n",
+              "      <td>83</td>\n",
+              "      <td>519</td>\n",
+              "      <td>39.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:01.848408</th>\n",
+              "      <td>257</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>53</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>13</td>\n",
+              "      <td>26</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.6</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>51.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:02.072880</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:02.265731</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:02.484758</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:02.694541</th>\n",
+              "      <td>451</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>24</td>\n",
+              "      <td>35</td>\n",
+              "      <td>28</td>\n",
+              "      <td>23</td>\n",
+              "      <td>190</td>\n",
+              "      <td>25.9</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>7.8</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:02.936840</th>\n",
+              "      <td>403</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>163</td>\n",
+              "      <td>27.8</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>8.2</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:03.175376</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>56.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:03.373805</th>\n",
+              "      <td>771</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>36</td>\n",
+              "      <td>53</td>\n",
+              "      <td>38</td>\n",
+              "      <td>49</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.2</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>32.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:03.567977</th>\n",
+              "      <td>679</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>51</td>\n",
+              "      <td>34</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.8</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:03.759382</th>\n",
+              "      <td>76</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>9</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>11.8</td>\n",
+              "      <td>61.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:03.985957</th>\n",
+              "      <td>539</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>245</td>\n",
+              "      <td>28</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>132</td>\n",
+              "      <td>45.5</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:04.212290</th>\n",
+              "      <td>421</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>25</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>86</td>\n",
+              "      <td>49.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>20.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:04.423929</th>\n",
+              "      <td>109</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>9</td>\n",
+              "      <td>31</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.4</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>13.8</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:04.643148</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:04.836776</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:05.026740</th>\n",
+              "      <td>922</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>33</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>58</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.9</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>28.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:05.225003</th>\n",
+              "      <td>556</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>44</td>\n",
+              "      <td>50</td>\n",
+              "      <td>35</td>\n",
+              "      <td>35</td>\n",
+              "      <td>202</td>\n",
+              "      <td>23.2</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>36.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 01:50:05.458889</th>\n",
+              "      <td>2647</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1020</td>\n",
+              "      <td>67</td>\n",
+              "      <td>39</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>107</td>\n",
+              "      <td>152</td>\n",
+              "      <td>145</td>\n",
+              "      <td>144</td>\n",
+              "      <td>893</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:02.137329</th>\n",
+              "      <td>1683</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>50</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>79</td>\n",
+              "      <td>107</td>\n",
+              "      <td>90</td>\n",
+              "      <td>83</td>\n",
+              "      <td>519</td>\n",
+              "      <td>39.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:02.387456</th>\n",
+              "      <td>257</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>53</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>13</td>\n",
+              "      <td>26</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.6</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>51.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:02.585290</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:02.774946</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:02.974632</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:03.176843</th>\n",
+              "      <td>451</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>24</td>\n",
+              "      <td>35</td>\n",
+              "      <td>28</td>\n",
+              "      <td>23</td>\n",
+              "      <td>190</td>\n",
+              "      <td>25.9</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>7.8</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:03.373787</th>\n",
+              "      <td>403</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>163</td>\n",
+              "      <td>27.8</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>8.2</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:03.594029</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>56.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:03.816315</th>\n",
+              "      <td>771</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>36</td>\n",
+              "      <td>53</td>\n",
+              "      <td>38</td>\n",
+              "      <td>49</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.2</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>32.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:04.003920</th>\n",
+              "      <td>679</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>33</td>\n",
+              "      <td>51</td>\n",
+              "      <td>34</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.8</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:04.204633</th>\n",
+              "      <td>76</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>8.0</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>9</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>11.8</td>\n",
+              "      <td>61.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:04.389674</th>\n",
+              "      <td>539</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>245</td>\n",
+              "      <td>28</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>35</td>\n",
+              "      <td>132</td>\n",
+              "      <td>45.5</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:04.630598</th>\n",
+              "      <td>421</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>25</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>86</td>\n",
+              "      <td>49.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>20.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:04.817421</th>\n",
+              "      <td>109</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>9</td>\n",
+              "      <td>31</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.4</td>\n",
+              "      <td>2.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>13.8</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:05.080602</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:05.277037</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:05.489382</th>\n",
+              "      <td>922</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>33</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>58</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.9</td>\n",
+              "      <td>3.6</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>28.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:05.899988</th>\n",
+              "      <td>556</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>44</td>\n",
+              "      <td>50</td>\n",
+              "      <td>35</td>\n",
+              "      <td>35</td>\n",
+              "      <td>202</td>\n",
+              "      <td>23.2</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>9.0</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>36.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:00:06.085184</th>\n",
+              "      <td>2647</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1020</td>\n",
+              "      <td>67</td>\n",
+              "      <td>39</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>107</td>\n",
+              "      <td>152</td>\n",
+              "      <td>145</td>\n",
+              "      <td>144</td>\n",
+              "      <td>893</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:10:02.261599</th>\n",
+              "      <td>1683</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>50</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>79</td>\n",
+              "      <td>107</td>\n",
+              "      <td>90</td>\n",
+              "      <td>83</td>\n",
+              "      <td>519</td>\n",
+              "      <td>39.9</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:10:02.510074</th>\n",
+              "      <td>257</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.9</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>53</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>13</td>\n",
+              "      <td>26</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.6</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.6</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>10.1</td>\n",
+              "      <td>51.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 02:10:02.798765</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>...</th>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "      <td>...</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:00:06.591967</th>\n",
+              "      <td>925</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>34</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>60</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>28.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:00:06.832749</th>\n",
+              "      <td>563</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>47</td>\n",
+              "      <td>50</td>\n",
+              "      <td>37</td>\n",
+              "      <td>35</td>\n",
+              "      <td>204</td>\n",
+              "      <td>22.9</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>8.3</td>\n",
+              "      <td>8.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>36.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:00:07.056294</th>\n",
+              "      <td>2660</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>152</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:02.499121</th>\n",
+              "      <td>1691</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>51</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>82</td>\n",
+              "      <td>107</td>\n",
+              "      <td>91</td>\n",
+              "      <td>83</td>\n",
+              "      <td>522</td>\n",
+              "      <td>39.7</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:02.755090</th>\n",
+              "      <td>261</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>54</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>14</td>\n",
+              "      <td>28</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>10.7</td>\n",
+              "      <td>50.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:03.027454</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:03.278452</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:03.509404</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:03.764352</th>\n",
+              "      <td>454</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>35</td>\n",
+              "      <td>29</td>\n",
+              "      <td>23</td>\n",
+              "      <td>191</td>\n",
+              "      <td>25.8</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:03.999536</th>\n",
+              "      <td>405</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>21</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>164</td>\n",
+              "      <td>27.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:04.283981</th>\n",
+              "      <td>42</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>54.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:04.533865</th>\n",
+              "      <td>775</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>38</td>\n",
+              "      <td>53</td>\n",
+              "      <td>39</td>\n",
+              "      <td>50</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.0</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>32.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:04.774513</th>\n",
+              "      <td>682</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>35</td>\n",
+              "      <td>51</td>\n",
+              "      <td>35</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:05.040550</th>\n",
+              "      <td>77</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.6</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>10</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>61.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:05.244203</th>\n",
+              "      <td>543</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>246</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>36</td>\n",
+              "      <td>133</td>\n",
+              "      <td>45.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:05.476645</th>\n",
+              "      <td>423</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>26</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>87</td>\n",
+              "      <td>49.4</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>20.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:05.685096</th>\n",
+              "      <td>111</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>9</td>\n",
+              "      <td>32</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>16</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>14.4</td>\n",
+              "      <td>39.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:05.931503</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:06.116656</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:06.413707</th>\n",
+              "      <td>925</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>34</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>60</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>28.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:06.679323</th>\n",
+              "      <td>563</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>47</td>\n",
+              "      <td>50</td>\n",
+              "      <td>37</td>\n",
+              "      <td>35</td>\n",
+              "      <td>204</td>\n",
+              "      <td>22.9</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>8.3</td>\n",
+              "      <td>8.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>36.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:10:06.940833</th>\n",
+              "      <td>2660</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>152</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:02.049205</th>\n",
+              "      <td>1691</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>51</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>82</td>\n",
+              "      <td>107</td>\n",
+              "      <td>91</td>\n",
+              "      <td>83</td>\n",
+              "      <td>522</td>\n",
+              "      <td>39.7</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:02.327924</th>\n",
+              "      <td>261</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>54</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>14</td>\n",
+              "      <td>28</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>10.7</td>\n",
+              "      <td>50.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:02.573445</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:02.806427</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:03.025376</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:03.222769</th>\n",
+              "      <td>454</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>35</td>\n",
+              "      <td>29</td>\n",
+              "      <td>23</td>\n",
+              "      <td>191</td>\n",
+              "      <td>25.8</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:03.423444</th>\n",
+              "      <td>405</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>21</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>164</td>\n",
+              "      <td>27.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:03.615648</th>\n",
+              "      <td>42</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>54.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:03.813243</th>\n",
+              "      <td>775</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>38</td>\n",
+              "      <td>53</td>\n",
+              "      <td>39</td>\n",
+              "      <td>50</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.0</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>32.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:04.037797</th>\n",
+              "      <td>682</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>35</td>\n",
+              "      <td>51</td>\n",
+              "      <td>35</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:04.465330</th>\n",
+              "      <td>77</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.6</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>10</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>61.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:04.655383</th>\n",
+              "      <td>543</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>246</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>36</td>\n",
+              "      <td>133</td>\n",
+              "      <td>45.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:04.851032</th>\n",
+              "      <td>423</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>26</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>87</td>\n",
+              "      <td>49.4</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>20.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:05.057859</th>\n",
+              "      <td>111</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>9</td>\n",
+              "      <td>32</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>16</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>14.4</td>\n",
+              "      <td>39.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:05.350751</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:05.584322</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:05.826992</th>\n",
+              "      <td>925</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>34</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>60</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>28.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:06.014322</th>\n",
+              "      <td>563</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>47</td>\n",
+              "      <td>50</td>\n",
+              "      <td>37</td>\n",
+              "      <td>35</td>\n",
+              "      <td>204</td>\n",
+              "      <td>22.9</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>8.3</td>\n",
+              "      <td>8.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>36.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:20:06.241187</th>\n",
+              "      <td>2660</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>152</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:02.022334</th>\n",
+              "      <td>1691</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>51</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>82</td>\n",
+              "      <td>107</td>\n",
+              "      <td>91</td>\n",
+              "      <td>83</td>\n",
+              "      <td>522</td>\n",
+              "      <td>39.7</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:02.267144</th>\n",
+              "      <td>261</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>54</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>14</td>\n",
+              "      <td>28</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>10.7</td>\n",
+              "      <td>50.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:02.497314</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:02.778430</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:02.985432</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:03.269993</th>\n",
+              "      <td>454</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>35</td>\n",
+              "      <td>29</td>\n",
+              "      <td>23</td>\n",
+              "      <td>191</td>\n",
+              "      <td>25.8</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:03.503209</th>\n",
+              "      <td>405</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>21</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>164</td>\n",
+              "      <td>27.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:03.777430</th>\n",
+              "      <td>42</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>54.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:03.988004</th>\n",
+              "      <td>775</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>38</td>\n",
+              "      <td>53</td>\n",
+              "      <td>39</td>\n",
+              "      <td>50</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.0</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>32.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:04.190149</th>\n",
+              "      <td>682</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>35</td>\n",
+              "      <td>51</td>\n",
+              "      <td>35</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:04.384178</th>\n",
+              "      <td>77</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.6</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>10</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>61.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:04.589343</th>\n",
+              "      <td>543</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>246</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>36</td>\n",
+              "      <td>133</td>\n",
+              "      <td>45.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:04.851700</th>\n",
+              "      <td>423</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>26</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>87</td>\n",
+              "      <td>49.4</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>20.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:05.046516</th>\n",
+              "      <td>111</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>9</td>\n",
+              "      <td>32</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>16</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>14.4</td>\n",
+              "      <td>39.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:05.286955</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:05.570472</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:05.820628</th>\n",
+              "      <td>925</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>34</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>60</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>28.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:06.043694</th>\n",
+              "      <td>563</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>47</td>\n",
+              "      <td>50</td>\n",
+              "      <td>37</td>\n",
+              "      <td>35</td>\n",
+              "      <td>204</td>\n",
+              "      <td>22.9</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>8.3</td>\n",
+              "      <td>8.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>36.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:30:06.277390</th>\n",
+              "      <td>2660</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>152</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:01.864356</th>\n",
+              "      <td>1691</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>51</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>82</td>\n",
+              "      <td>107</td>\n",
+              "      <td>91</td>\n",
+              "      <td>83</td>\n",
+              "      <td>522</td>\n",
+              "      <td>39.7</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:02.117392</th>\n",
+              "      <td>261</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>54</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>14</td>\n",
+              "      <td>28</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>10.7</td>\n",
+              "      <td>50.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:02.402743</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:02.621231</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:02.852517</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:03.082517</th>\n",
+              "      <td>454</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>35</td>\n",
+              "      <td>29</td>\n",
+              "      <td>23</td>\n",
+              "      <td>191</td>\n",
+              "      <td>25.8</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:03.371776</th>\n",
+              "      <td>405</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>21</td>\n",
+              "      <td>33</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>164</td>\n",
+              "      <td>27.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:03.584687</th>\n",
+              "      <td>42</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>54.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:04.103447</th>\n",
+              "      <td>775</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>38</td>\n",
+              "      <td>53</td>\n",
+              "      <td>39</td>\n",
+              "      <td>50</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.0</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>32.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:04.362714</th>\n",
+              "      <td>682</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>35</td>\n",
+              "      <td>51</td>\n",
+              "      <td>35</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:04.579670</th>\n",
+              "      <td>77</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.6</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>10</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>61.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:04.866699</th>\n",
+              "      <td>543</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>246</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>24</td>\n",
+              "      <td>32</td>\n",
+              "      <td>36</td>\n",
+              "      <td>133</td>\n",
+              "      <td>45.3</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>24.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:05.072773</th>\n",
+              "      <td>423</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>26</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>16</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>87</td>\n",
+              "      <td>49.4</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>3.8</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>20.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:05.303744</th>\n",
+              "      <td>111</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>9</td>\n",
+              "      <td>32</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>16</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>14.4</td>\n",
+              "      <td>39.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:05.535942</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:05.735088</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:05.937246</th>\n",
+              "      <td>925</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>34</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>60</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>28.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:06.134686</th>\n",
+              "      <td>563</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>47</td>\n",
+              "      <td>50</td>\n",
+              "      <td>37</td>\n",
+              "      <td>35</td>\n",
+              "      <td>204</td>\n",
+              "      <td>22.9</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>8.3</td>\n",
+              "      <td>8.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>36.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:40:06.384083</th>\n",
+              "      <td>2660</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>152</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:01.646095</th>\n",
+              "      <td>1691</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>51</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>82</td>\n",
+              "      <td>107</td>\n",
+              "      <td>91</td>\n",
+              "      <td>83</td>\n",
+              "      <td>522</td>\n",
+              "      <td>39.7</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.9</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:01.876217</th>\n",
+              "      <td>261</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>54</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>14</td>\n",
+              "      <td>28</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>10.7</td>\n",
+              "      <td>50.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:02.194977</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:02.417823</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:02.631315</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:02.908343</th>\n",
+              "      <td>454</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>35</td>\n",
+              "      <td>29</td>\n",
+              "      <td>23</td>\n",
+              "      <td>191</td>\n",
+              "      <td>25.8</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:03.244656</th>\n",
+              "      <td>406</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>21</td>\n",
+              "      <td>34</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>164</td>\n",
+              "      <td>27.6</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:03.446434</th>\n",
+              "      <td>42</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>54.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:03.681429</th>\n",
+              "      <td>775</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>38</td>\n",
+              "      <td>53</td>\n",
+              "      <td>39</td>\n",
+              "      <td>50</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.0</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>32.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:03.902466</th>\n",
+              "      <td>682</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>35</td>\n",
+              "      <td>51</td>\n",
+              "      <td>35</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:04.101996</th>\n",
+              "      <td>77</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.6</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>10</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>61.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:04.349614</th>\n",
+              "      <td>544</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>246</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>25</td>\n",
+              "      <td>32</td>\n",
+              "      <td>36</td>\n",
+              "      <td>133</td>\n",
+              "      <td>45.2</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>24.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:04.552749</th>\n",
+              "      <td>424</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>26</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>87</td>\n",
+              "      <td>49.3</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>20.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:04.748405</th>\n",
+              "      <td>111</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>9</td>\n",
+              "      <td>32</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>16</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>14.4</td>\n",
+              "      <td>39.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:04.974363</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:05.258332</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:05.476150</th>\n",
+              "      <td>925</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>34</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>60</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>28.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:05.752909</th>\n",
+              "      <td>565</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>47</td>\n",
+              "      <td>52</td>\n",
+              "      <td>37</td>\n",
+              "      <td>35</td>\n",
+              "      <td>204</td>\n",
+              "      <td>22.8</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>8.3</td>\n",
+              "      <td>9.2</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>36.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 21:50:06.071510</th>\n",
+              "      <td>2662</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>154</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:02.676243</th>\n",
+              "      <td>1693</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>51</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>82</td>\n",
+              "      <td>109</td>\n",
+              "      <td>91</td>\n",
+              "      <td>83</td>\n",
+              "      <td>522</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:02.888891</th>\n",
+              "      <td>261</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>54</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>14</td>\n",
+              "      <td>28</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>10.7</td>\n",
+              "      <td>50.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:03.117695</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:03.316191</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:03.564250</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:03.763627</th>\n",
+              "      <td>455</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>36</td>\n",
+              "      <td>29</td>\n",
+              "      <td>23</td>\n",
+              "      <td>191</td>\n",
+              "      <td>25.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:03.971895</th>\n",
+              "      <td>406</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>21</td>\n",
+              "      <td>34</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>164</td>\n",
+              "      <td>27.6</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:04.165842</th>\n",
+              "      <td>42</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>54.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:04.393179</th>\n",
+              "      <td>775</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>38</td>\n",
+              "      <td>53</td>\n",
+              "      <td>39</td>\n",
+              "      <td>50</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.0</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>32.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:04.636518</th>\n",
+              "      <td>682</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>35</td>\n",
+              "      <td>51</td>\n",
+              "      <td>35</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:04.850741</th>\n",
+              "      <td>77</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.6</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>10</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>61.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:05.051506</th>\n",
+              "      <td>544</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>246</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>25</td>\n",
+              "      <td>32</td>\n",
+              "      <td>36</td>\n",
+              "      <td>133</td>\n",
+              "      <td>45.2</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>24.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:05.257314</th>\n",
+              "      <td>424</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>26</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>87</td>\n",
+              "      <td>49.3</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>20.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:05.476343</th>\n",
+              "      <td>111</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>9</td>\n",
+              "      <td>32</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>16</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>14.4</td>\n",
+              "      <td>39.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:05.666961</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:05.870349</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:06.087855</th>\n",
+              "      <td>925</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>34</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>60</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>28.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:06.302452</th>\n",
+              "      <td>565</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>47</td>\n",
+              "      <td>52</td>\n",
+              "      <td>37</td>\n",
+              "      <td>35</td>\n",
+              "      <td>204</td>\n",
+              "      <td>22.8</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>8.3</td>\n",
+              "      <td>9.2</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>36.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:00:06.565253</th>\n",
+              "      <td>2662</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>154</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:02.592561</th>\n",
+              "      <td>1693</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>51</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>82</td>\n",
+              "      <td>109</td>\n",
+              "      <td>91</td>\n",
+              "      <td>83</td>\n",
+              "      <td>522</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:02.822072</th>\n",
+              "      <td>261</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>54</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>14</td>\n",
+              "      <td>28</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>10.7</td>\n",
+              "      <td>50.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:03.086199</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:03.333713</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:03.600150</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:04.032292</th>\n",
+              "      <td>455</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>36</td>\n",
+              "      <td>29</td>\n",
+              "      <td>23</td>\n",
+              "      <td>191</td>\n",
+              "      <td>25.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:04.234074</th>\n",
+              "      <td>406</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>21</td>\n",
+              "      <td>34</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>164</td>\n",
+              "      <td>27.6</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:04.488304</th>\n",
+              "      <td>42</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>54.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:04.767419</th>\n",
+              "      <td>775</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>38</td>\n",
+              "      <td>53</td>\n",
+              "      <td>39</td>\n",
+              "      <td>50</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.0</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>32.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:04.958493</th>\n",
+              "      <td>682</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>35</td>\n",
+              "      <td>51</td>\n",
+              "      <td>35</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:05.171676</th>\n",
+              "      <td>77</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.6</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>10</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>61.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:05.369143</th>\n",
+              "      <td>544</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>246</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>25</td>\n",
+              "      <td>32</td>\n",
+              "      <td>36</td>\n",
+              "      <td>133</td>\n",
+              "      <td>45.2</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>24.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:05.629635</th>\n",
+              "      <td>424</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>26</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>87</td>\n",
+              "      <td>49.3</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>20.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:05.834118</th>\n",
+              "      <td>111</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>9</td>\n",
+              "      <td>32</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>16</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>14.4</td>\n",
+              "      <td>39.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:06.087233</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:06.307571</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:06.562494</th>\n",
+              "      <td>925</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>34</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>60</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>28.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:06.851425</th>\n",
+              "      <td>565</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>47</td>\n",
+              "      <td>52</td>\n",
+              "      <td>37</td>\n",
+              "      <td>35</td>\n",
+              "      <td>204</td>\n",
+              "      <td>22.8</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>8.3</td>\n",
+              "      <td>9.2</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>36.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:10:07.085246</th>\n",
+              "      <td>2662</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>154</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:02.516161</th>\n",
+              "      <td>1693</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>51</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>82</td>\n",
+              "      <td>109</td>\n",
+              "      <td>91</td>\n",
+              "      <td>83</td>\n",
+              "      <td>522</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:02.715546</th>\n",
+              "      <td>261</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>54</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>14</td>\n",
+              "      <td>28</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>10.7</td>\n",
+              "      <td>50.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:02.955813</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:03.271107</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:03.459495</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:03.675107</th>\n",
+              "      <td>455</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>36</td>\n",
+              "      <td>29</td>\n",
+              "      <td>23</td>\n",
+              "      <td>191</td>\n",
+              "      <td>25.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:03.892529</th>\n",
+              "      <td>406</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>21</td>\n",
+              "      <td>34</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>164</td>\n",
+              "      <td>27.6</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:04.331815</th>\n",
+              "      <td>42</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>54.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:04.600395</th>\n",
+              "      <td>775</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>38</td>\n",
+              "      <td>53</td>\n",
+              "      <td>39</td>\n",
+              "      <td>50</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.0</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>32.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:04.809232</th>\n",
+              "      <td>682</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>35</td>\n",
+              "      <td>51</td>\n",
+              "      <td>35</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:05.016956</th>\n",
+              "      <td>77</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.6</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>10</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>61.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:05.250174</th>\n",
+              "      <td>544</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>246</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>25</td>\n",
+              "      <td>32</td>\n",
+              "      <td>36</td>\n",
+              "      <td>133</td>\n",
+              "      <td>45.2</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>24.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:05.476962</th>\n",
+              "      <td>424</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>26</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>87</td>\n",
+              "      <td>49.3</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>20.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:05.678405</th>\n",
+              "      <td>111</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>9</td>\n",
+              "      <td>32</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>16</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>14.4</td>\n",
+              "      <td>39.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:05.911489</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:06.345149</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:06.556737</th>\n",
+              "      <td>925</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>34</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>60</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>28.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:06.752716</th>\n",
+              "      <td>565</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>47</td>\n",
+              "      <td>52</td>\n",
+              "      <td>37</td>\n",
+              "      <td>35</td>\n",
+              "      <td>204</td>\n",
+              "      <td>22.8</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>8.3</td>\n",
+              "      <td>9.2</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>36.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:20:06.947696</th>\n",
+              "      <td>2662</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>154</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:02.367177</th>\n",
+              "      <td>1693</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>51</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>82</td>\n",
+              "      <td>109</td>\n",
+              "      <td>91</td>\n",
+              "      <td>83</td>\n",
+              "      <td>522</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:02.606049</th>\n",
+              "      <td>261</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>54</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>14</td>\n",
+              "      <td>28</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>10.7</td>\n",
+              "      <td>50.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:02.830934</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:03.052841</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:03.270746</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:03.493250</th>\n",
+              "      <td>455</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>36</td>\n",
+              "      <td>29</td>\n",
+              "      <td>23</td>\n",
+              "      <td>191</td>\n",
+              "      <td>25.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:03.739874</th>\n",
+              "      <td>406</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>21</td>\n",
+              "      <td>34</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>164</td>\n",
+              "      <td>27.6</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:04.004892</th>\n",
+              "      <td>42</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>54.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:04.206479</th>\n",
+              "      <td>775</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>38</td>\n",
+              "      <td>53</td>\n",
+              "      <td>39</td>\n",
+              "      <td>50</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.0</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>32.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:04.419471</th>\n",
+              "      <td>682</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>35</td>\n",
+              "      <td>51</td>\n",
+              "      <td>35</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:04.661600</th>\n",
+              "      <td>77</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.6</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>10</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>61.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:04.871148</th>\n",
+              "      <td>544</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>246</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>25</td>\n",
+              "      <td>32</td>\n",
+              "      <td>36</td>\n",
+              "      <td>133</td>\n",
+              "      <td>45.2</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>24.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:05.125560</th>\n",
+              "      <td>424</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>26</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>87</td>\n",
+              "      <td>49.3</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>20.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:05.347419</th>\n",
+              "      <td>111</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>9</td>\n",
+              "      <td>32</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>16</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>14.4</td>\n",
+              "      <td>39.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:05.539467</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:05.730946</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:05.950433</th>\n",
+              "      <td>925</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>34</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>60</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>28.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:06.150572</th>\n",
+              "      <td>565</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>47</td>\n",
+              "      <td>52</td>\n",
+              "      <td>37</td>\n",
+              "      <td>35</td>\n",
+              "      <td>204</td>\n",
+              "      <td>22.8</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>8.3</td>\n",
+              "      <td>9.2</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>36.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:30:06.423181</th>\n",
+              "      <td>2662</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>154</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:01.470119</th>\n",
+              "      <td>1693</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>51</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>82</td>\n",
+              "      <td>109</td>\n",
+              "      <td>91</td>\n",
+              "      <td>83</td>\n",
+              "      <td>522</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:01.728528</th>\n",
+              "      <td>261</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>54</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>14</td>\n",
+              "      <td>28</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>10.7</td>\n",
+              "      <td>50.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:02.056320</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:02.306295</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:02.576905</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:02.866842</th>\n",
+              "      <td>455</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>36</td>\n",
+              "      <td>29</td>\n",
+              "      <td>23</td>\n",
+              "      <td>191</td>\n",
+              "      <td>25.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:03.139336</th>\n",
+              "      <td>406</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>21</td>\n",
+              "      <td>34</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>164</td>\n",
+              "      <td>27.6</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:03.387206</th>\n",
+              "      <td>42</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>54.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:03.691075</th>\n",
+              "      <td>775</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>38</td>\n",
+              "      <td>53</td>\n",
+              "      <td>39</td>\n",
+              "      <td>50</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.0</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>32.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:03.942804</th>\n",
+              "      <td>682</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>35</td>\n",
+              "      <td>51</td>\n",
+              "      <td>35</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:04.143720</th>\n",
+              "      <td>77</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.6</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>10</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>61.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:04.620668</th>\n",
+              "      <td>544</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>246</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>25</td>\n",
+              "      <td>32</td>\n",
+              "      <td>36</td>\n",
+              "      <td>133</td>\n",
+              "      <td>45.2</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>24.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:04.907070</th>\n",
+              "      <td>424</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>26</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>87</td>\n",
+              "      <td>49.3</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>20.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:05.098799</th>\n",
+              "      <td>111</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>9</td>\n",
+              "      <td>32</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>16</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>14.4</td>\n",
+              "      <td>39.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:05.291491</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:05.477026</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:05.749618</th>\n",
+              "      <td>925</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>34</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>60</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>28.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:05.985688</th>\n",
+              "      <td>565</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>47</td>\n",
+              "      <td>52</td>\n",
+              "      <td>37</td>\n",
+              "      <td>35</td>\n",
+              "      <td>204</td>\n",
+              "      <td>22.8</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>8.3</td>\n",
+              "      <td>9.2</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>36.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:40:06.233659</th>\n",
+              "      <td>2662</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>154</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:01.658972</th>\n",
+              "      <td>1693</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>51</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>82</td>\n",
+              "      <td>109</td>\n",
+              "      <td>91</td>\n",
+              "      <td>83</td>\n",
+              "      <td>522</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:01.906878</th>\n",
+              "      <td>261</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>54</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>14</td>\n",
+              "      <td>28</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>10.7</td>\n",
+              "      <td>50.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:02.282658</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:02.925223</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:03.185512</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:03.408161</th>\n",
+              "      <td>455</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>36</td>\n",
+              "      <td>29</td>\n",
+              "      <td>23</td>\n",
+              "      <td>191</td>\n",
+              "      <td>25.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:03.646371</th>\n",
+              "      <td>406</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>21</td>\n",
+              "      <td>34</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>164</td>\n",
+              "      <td>27.6</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:03.871928</th>\n",
+              "      <td>42</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>54.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:04.065761</th>\n",
+              "      <td>775</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>38</td>\n",
+              "      <td>53</td>\n",
+              "      <td>39</td>\n",
+              "      <td>50</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.0</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>32.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:04.286891</th>\n",
+              "      <td>682</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>35</td>\n",
+              "      <td>51</td>\n",
+              "      <td>35</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:04.472598</th>\n",
+              "      <td>77</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.6</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>10</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>61.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:04.897245</th>\n",
+              "      <td>544</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>246</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>25</td>\n",
+              "      <td>32</td>\n",
+              "      <td>36</td>\n",
+              "      <td>133</td>\n",
+              "      <td>45.2</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>24.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:05.253525</th>\n",
+              "      <td>424</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>26</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>87</td>\n",
+              "      <td>49.3</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>20.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:05.540566</th>\n",
+              "      <td>111</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>9</td>\n",
+              "      <td>32</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>16</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>14.4</td>\n",
+              "      <td>39.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:05.730617</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:05.938335</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:06.192702</th>\n",
+              "      <td>925</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>34</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>60</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>28.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:06.393880</th>\n",
+              "      <td>565</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>47</td>\n",
+              "      <td>52</td>\n",
+              "      <td>37</td>\n",
+              "      <td>35</td>\n",
+              "      <td>204</td>\n",
+              "      <td>22.8</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>8.3</td>\n",
+              "      <td>9.2</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>36.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 22:50:06.592571</th>\n",
+              "      <td>2662</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>154</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:01.735379</th>\n",
+              "      <td>1693</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>51</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>82</td>\n",
+              "      <td>109</td>\n",
+              "      <td>91</td>\n",
+              "      <td>83</td>\n",
+              "      <td>522</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:02.018423</th>\n",
+              "      <td>261</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>54</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>14</td>\n",
+              "      <td>28</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>10.7</td>\n",
+              "      <td>50.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:02.334333</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:02.547912</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:02.772977</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:02.987723</th>\n",
+              "      <td>455</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>36</td>\n",
+              "      <td>29</td>\n",
+              "      <td>23</td>\n",
+              "      <td>191</td>\n",
+              "      <td>25.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:03.191009</th>\n",
+              "      <td>406</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>21</td>\n",
+              "      <td>34</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>164</td>\n",
+              "      <td>27.6</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:03.415819</th>\n",
+              "      <td>42</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>54.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:03.683160</th>\n",
+              "      <td>775</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>38</td>\n",
+              "      <td>53</td>\n",
+              "      <td>39</td>\n",
+              "      <td>50</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.0</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>32.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:03.924760</th>\n",
+              "      <td>682</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>35</td>\n",
+              "      <td>51</td>\n",
+              "      <td>35</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:04.189034</th>\n",
+              "      <td>77</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.6</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>10</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>61.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:04.381826</th>\n",
+              "      <td>544</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>246</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>25</td>\n",
+              "      <td>32</td>\n",
+              "      <td>36</td>\n",
+              "      <td>133</td>\n",
+              "      <td>45.2</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>24.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:04.619175</th>\n",
+              "      <td>424</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>26</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>87</td>\n",
+              "      <td>49.3</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>20.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:04.820031</th>\n",
+              "      <td>111</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>9</td>\n",
+              "      <td>32</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>16</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>14.4</td>\n",
+              "      <td>39.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:05.028872</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:05.231674</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:05.442596</th>\n",
+              "      <td>925</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>34</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>60</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>28.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:05.634805</th>\n",
+              "      <td>565</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>47</td>\n",
+              "      <td>52</td>\n",
+              "      <td>37</td>\n",
+              "      <td>35</td>\n",
+              "      <td>204</td>\n",
+              "      <td>22.8</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>8.3</td>\n",
+              "      <td>9.2</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>36.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:00:05.829558</th>\n",
+              "      <td>2662</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>154</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:02.207706</th>\n",
+              "      <td>1693</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>6</td>\n",
+              "      <td>671</td>\n",
+              "      <td>51</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>42</td>\n",
+              "      <td>82</td>\n",
+              "      <td>109</td>\n",
+              "      <td>91</td>\n",
+              "      <td>83</td>\n",
+              "      <td>522</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>3.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.8</td>\n",
+              "      <td>2.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>30.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:02.398710</th>\n",
+              "      <td>261</td>\n",
+              "      <td>Females</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.0</td>\n",
+              "      <td>7.3</td>\n",
+              "      <td>10</td>\n",
+              "      <td>54</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>14</td>\n",
+              "      <td>14</td>\n",
+              "      <td>28</td>\n",
+              "      <td>131</td>\n",
+              "      <td>20.7</td>\n",
+              "      <td>1.1</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>10.7</td>\n",
+              "      <td>50.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:02.622019</th>\n",
+              "      <td>15</td>\n",
+              "      <td>Aged under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_1</td>\n",
+              "      <td>4.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>46.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>6.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>40.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:02.908857</th>\n",
+              "      <td>13</td>\n",
+              "      <td>Males under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>6</td>\n",
+              "      <td>38.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>46.2</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:03.088635</th>\n",
+              "      <td>2</td>\n",
+              "      <td>Females under 18</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>100.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:03.288272</th>\n",
+              "      <td>455</td>\n",
+              "      <td>Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_2</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>117</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>8</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>36</td>\n",
+              "      <td>29</td>\n",
+              "      <td>23</td>\n",
+              "      <td>191</td>\n",
+              "      <td>25.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>42.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:03.501039</th>\n",
+              "      <td>406</td>\n",
+              "      <td>Males Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>6.3</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>8</td>\n",
+              "      <td>112</td>\n",
+              "      <td>3</td>\n",
+              "      <td>4</td>\n",
+              "      <td>7</td>\n",
+              "      <td>15</td>\n",
+              "      <td>21</td>\n",
+              "      <td>34</td>\n",
+              "      <td>25</td>\n",
+              "      <td>21</td>\n",
+              "      <td>164</td>\n",
+              "      <td>27.6</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>5.2</td>\n",
+              "      <td>40.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:03.725960</th>\n",
+              "      <td>42</td>\n",
+              "      <td>Females Aged 18-29</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.1</td>\n",
+              "      <td>7.9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>4</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>23</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>9.5</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>54.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:03.942442</th>\n",
+              "      <td>775</td>\n",
+              "      <td>Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_3</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>287</td>\n",
+              "      <td>21</td>\n",
+              "      <td>12</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>38</td>\n",
+              "      <td>53</td>\n",
+              "      <td>39</td>\n",
+              "      <td>50</td>\n",
+              "      <td>250</td>\n",
+              "      <td>37.0</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>6.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>32.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:04.147698</th>\n",
+              "      <td>682</td>\n",
+              "      <td>Males Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>270</td>\n",
+              "      <td>20</td>\n",
+              "      <td>10</td>\n",
+              "      <td>2</td>\n",
+              "      <td>20</td>\n",
+              "      <td>35</td>\n",
+              "      <td>51</td>\n",
+              "      <td>35</td>\n",
+              "      <td>39</td>\n",
+              "      <td>200</td>\n",
+              "      <td>39.6</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>0.3</td>\n",
+              "      <td>2.9</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>7.5</td>\n",
+              "      <td>5.1</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>29.3</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:04.406759</th>\n",
+              "      <td>77</td>\n",
+              "      <td>Females Aged 30-44</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>7.6</td>\n",
+              "      <td>8.1</td>\n",
+              "      <td>10</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>10</td>\n",
+              "      <td>47</td>\n",
+              "      <td>14.3</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>13.0</td>\n",
+              "      <td>61.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:04.603751</th>\n",
+              "      <td>544</td>\n",
+              "      <td>Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-age_4</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>2</td>\n",
+              "      <td>246</td>\n",
+              "      <td>29</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>8</td>\n",
+              "      <td>19</td>\n",
+              "      <td>25</td>\n",
+              "      <td>32</td>\n",
+              "      <td>36</td>\n",
+              "      <td>133</td>\n",
+              "      <td>45.2</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>0.6</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>24.4</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:04.905270</th>\n",
+              "      <td>424</td>\n",
+              "      <td>Males Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-ma...</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>4.3</td>\n",
+              "      <td>2</td>\n",
+              "      <td>209</td>\n",
+              "      <td>26</td>\n",
+              "      <td>13</td>\n",
+              "      <td>3</td>\n",
+              "      <td>6</td>\n",
+              "      <td>18</td>\n",
+              "      <td>17</td>\n",
+              "      <td>25</td>\n",
+              "      <td>20</td>\n",
+              "      <td>87</td>\n",
+              "      <td>49.3</td>\n",
+              "      <td>6.1</td>\n",
+              "      <td>3.1</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>4.2</td>\n",
+              "      <td>4.0</td>\n",
+              "      <td>5.9</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>20.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:05.172451</th>\n",
+              "      <td>111</td>\n",
+              "      <td>Females Aged 45+</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-fe...</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>6.6</td>\n",
+              "      <td>9</td>\n",
+              "      <td>32</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0</td>\n",
+              "      <td>8</td>\n",
+              "      <td>6</td>\n",
+              "      <td>16</td>\n",
+              "      <td>44</td>\n",
+              "      <td>28.8</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>14.4</td>\n",
+              "      <td>39.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:05.369510</th>\n",
+              "      <td>8</td>\n",
+              "      <td>IMDb staff</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-im...</td>\n",
+              "      <td>8.4</td>\n",
+              "      <td>7.2</td>\n",
+              "      <td>8</td>\n",
+              "      <td>1</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>0.0</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>12.5</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>25.0</td>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:05.598331</th>\n",
+              "      <td>41</td>\n",
+              "      <td>Top 1000 voters</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-to...</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.7</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>6</td>\n",
+              "      <td>26.8</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>9.8</td>\n",
+              "      <td>12.2</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>2.4</td>\n",
+              "      <td>14.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:05.794141</th>\n",
+              "      <td>925</td>\n",
+              "      <td>US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-usa</td>\n",
+              "      <td>4.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>4</td>\n",
+              "      <td>405</td>\n",
+              "      <td>34</td>\n",
+              "      <td>20</td>\n",
+              "      <td>8</td>\n",
+              "      <td>9</td>\n",
+              "      <td>30</td>\n",
+              "      <td>54</td>\n",
+              "      <td>46</td>\n",
+              "      <td>60</td>\n",
+              "      <td>259</td>\n",
+              "      <td>43.8</td>\n",
+              "      <td>3.7</td>\n",
+              "      <td>2.2</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>1.0</td>\n",
+              "      <td>3.2</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>28.0</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:06.022268</th>\n",
+              "      <td>565</td>\n",
+              "      <td>Non-US users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-in...</td>\n",
+              "      <td>6.4</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>7</td>\n",
+              "      <td>129</td>\n",
+              "      <td>11</td>\n",
+              "      <td>10</td>\n",
+              "      <td>8</td>\n",
+              "      <td>32</td>\n",
+              "      <td>47</td>\n",
+              "      <td>52</td>\n",
+              "      <td>37</td>\n",
+              "      <td>35</td>\n",
+              "      <td>204</td>\n",
+              "      <td>22.8</td>\n",
+              "      <td>1.9</td>\n",
+              "      <td>1.8</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>5.7</td>\n",
+              "      <td>8.3</td>\n",
+              "      <td>9.2</td>\n",
+              "      <td>6.5</td>\n",
+              "      <td>6.2</td>\n",
+              "      <td>36.1</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:06.218251</th>\n",
+              "      <td>2662</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>154</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>2660 rows × 26 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                            respondents            category                                               link  average  mean  median  1_votes  2_votes  3_votes  4_votes  5_votes  6_votes  7_votes  8_votes  9_votes  10_votes  1_pct  2_pct  3_pct  4_pct  5_pct  6_pct  7_pct  8_pct  9_pct  10_pct\n",
+              "timestamp                                                                                                                                                                                                                                                                                              \n",
+              "2017-08-29 00:00:02.248882         1682               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.3       6      671       50       29       12       42       79      107       90       83       519   39.9    3.0    1.7    0.7    2.5    4.7    6.4    5.4    4.9    30.9\n",
+              "2017-08-29 00:00:02.499363          257             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.3      10       53        3        4        4        4        5       14       13       26       131   20.6    1.2    1.6    1.6    1.6    1.9    5.4    5.1   10.1    51.0\n",
+              "2017-08-29 00:00:02.727204           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 00:00:03.024270           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 00:00:03.248207            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 00:00:03.441529          450          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        7       17       24       35       28       23       190   26.0    0.7    1.3    1.6    3.8    5.3    7.8    6.2    5.1    42.2\n",
+              "2017-08-29 00:00:03.636825          402    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        6       15       20       33       25       21       163   27.9    0.7    1.0    1.5    3.7    5.0    8.2    6.2    5.2    40.5\n",
+              "2017-08-29 00:00:03.839446           41  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        3        2        23    9.8    0.0    4.9    2.4    4.9    4.9    4.9    7.3    4.9    56.1\n",
+              "2017-08-29 00:00:04.030663          771          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.6   5.6       7      287       21       12        4       21       36       53       38       49       250   37.2    2.7    1.6    0.5    2.7    4.7    6.9    4.9    6.4    32.4\n",
+              "2017-08-29 00:00:04.225962          679    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       33       51       34       39       200   39.8    2.9    1.5    0.3    2.9    4.9    7.5    5.0    5.7    29.5\n",
+              "2017-08-29 00:00:04.539312           76  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.5   8.0      10       11        0        2        2        0        2        1        2        9        47   14.5    0.0    2.6    2.6    0.0    2.6    1.3    2.6   11.8    61.8\n",
+              "2017-08-29 00:00:04.776104          539            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      245       28       13        3        8       19       24       32       35       132   45.5    5.2    2.4    0.6    1.5    3.5    4.5    5.9    6.5    24.5\n",
+              "2017-08-29 00:00:04.973766          421      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       25       13        3        6       18       16       25       20        86   49.6    5.9    3.1    0.7    1.4    4.3    3.8    5.9    4.8    20.4\n",
+              "2017-08-29 00:00:05.176998          109    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.7   6.7       9       31        3        0        0        2        0        8        6       15        44   28.4    2.8    0.0    0.0    1.8    0.0    7.3    5.5   13.8    40.4\n",
+              "2017-08-29 00:00:05.366554            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 00:00:05.556598           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 00:00:05.767397          922            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       33       20        8        9       30       54       46       58       259   43.9    3.6    2.2    0.9    1.0    3.3    5.9    5.0    6.3    28.1\n",
+              "2017-08-29 00:00:05.964362          556        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       44       50       35       35       202   23.2    2.0    1.8    1.4    5.8    7.9    9.0    6.3    6.3    36.3\n",
+              "2017-08-29 00:00:06.288486         2646          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1020       67       39       24       55      107      152      145      144       893   38.5    2.5    1.5    0.9    2.1    4.0    5.7    5.5    5.4    33.7\n",
+              "2017-08-29 00:10:02.437655         1682               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.3       6      671       50       29       12       42       79      107       90       83       519   39.9    3.0    1.7    0.7    2.5    4.7    6.4    5.4    4.9    30.9\n",
+              "2017-08-29 00:10:02.715850          257             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.3      10       53        3        4        4        4        5       14       13       26       131   20.6    1.2    1.6    1.6    1.6    1.9    5.4    5.1   10.1    51.0\n",
+              "2017-08-29 00:10:02.974317           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 00:10:03.242796           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 00:10:03.471974            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 00:10:03.701915          450          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        7       17       24       35       28       23       190   26.0    0.7    1.3    1.6    3.8    5.3    7.8    6.2    5.1    42.2\n",
+              "2017-08-29 00:10:03.922894          402    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        6       15       20       33       25       21       163   27.9    0.7    1.0    1.5    3.7    5.0    8.2    6.2    5.2    40.5\n",
+              "2017-08-29 00:10:04.168584           41  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        3        2        23    9.8    0.0    4.9    2.4    4.9    4.9    4.9    7.3    4.9    56.1\n",
+              "2017-08-29 00:10:04.391835          771          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.6   5.6       7      287       21       12        4       21       36       53       38       49       250   37.2    2.7    1.6    0.5    2.7    4.7    6.9    4.9    6.4    32.4\n",
+              "2017-08-29 00:10:04.630956          679    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       33       51       34       39       200   39.8    2.9    1.5    0.3    2.9    4.9    7.5    5.0    5.7    29.5\n",
+              "2017-08-29 00:10:04.819991           76  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.5   8.0      10       11        0        2        2        0        2        1        2        9        47   14.5    0.0    2.6    2.6    0.0    2.6    1.3    2.6   11.8    61.8\n",
+              "2017-08-29 00:10:05.054859          539            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      245       28       13        3        8       19       24       32       35       132   45.5    5.2    2.4    0.6    1.5    3.5    4.5    5.9    6.5    24.5\n",
+              "2017-08-29 00:10:05.269501          421      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       25       13        3        6       18       16       25       20        86   49.6    5.9    3.1    0.7    1.4    4.3    3.8    5.9    4.8    20.4\n",
+              "2017-08-29 00:10:05.649008          109    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.7   6.7       9       31        3        0        0        2        0        8        6       15        44   28.4    2.8    0.0    0.0    1.8    0.0    7.3    5.5   13.8    40.4\n",
+              "2017-08-29 00:10:05.841604            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 00:10:06.023704           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 00:10:06.282038          922            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       33       20        8        9       30       54       46       58       259   43.9    3.6    2.2    0.9    1.0    3.3    5.9    5.0    6.3    28.1\n",
+              "2017-08-29 00:10:06.532691          556        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       44       50       35       35       202   23.2    2.0    1.8    1.4    5.8    7.9    9.0    6.3    6.3    36.3\n",
+              "2017-08-29 00:10:06.763461         2646          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1020       67       39       24       55      107      152      145      144       893   38.5    2.5    1.5    0.9    2.1    4.0    5.7    5.5    5.4    33.7\n",
+              "2017-08-29 00:20:02.034043         1682               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.3       6      671       50       29       12       42       79      107       90       83       519   39.9    3.0    1.7    0.7    2.5    4.7    6.4    5.4    4.9    30.9\n",
+              "2017-08-29 00:20:02.232589          257             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.3      10       53        3        4        4        4        5       14       13       26       131   20.6    1.2    1.6    1.6    1.6    1.9    5.4    5.1   10.1    51.0\n",
+              "2017-08-29 00:20:02.497579           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 00:20:02.725896           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 00:20:02.938388            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 00:20:03.127723          450          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        7       17       24       35       28       23       190   26.0    0.7    1.3    1.6    3.8    5.3    7.8    6.2    5.1    42.2\n",
+              "2017-08-29 00:20:03.309894          402    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        6       15       20       33       25       21       163   27.9    0.7    1.0    1.5    3.7    5.0    8.2    6.2    5.2    40.5\n",
+              "2017-08-29 00:20:03.530019           41  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        3        2        23    9.8    0.0    4.9    2.4    4.9    4.9    4.9    7.3    4.9    56.1\n",
+              "2017-08-29 00:20:03.736274          771          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.6   5.6       7      287       21       12        4       21       36       53       38       49       250   37.2    2.7    1.6    0.5    2.7    4.7    6.9    4.9    6.4    32.4\n",
+              "2017-08-29 00:20:03.934993          679    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       33       51       34       39       200   39.8    2.9    1.5    0.3    2.9    4.9    7.5    5.0    5.7    29.5\n",
+              "2017-08-29 00:20:04.140468           76  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.5   8.0      10       11        0        2        2        0        2        1        2        9        47   14.5    0.0    2.6    2.6    0.0    2.6    1.3    2.6   11.8    61.8\n",
+              "2017-08-29 00:20:04.323908          539            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      245       28       13        3        8       19       24       32       35       132   45.5    5.2    2.4    0.6    1.5    3.5    4.5    5.9    6.5    24.5\n",
+              "2017-08-29 00:20:04.520304          421      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       25       13        3        6       18       16       25       20        86   49.6    5.9    3.1    0.7    1.4    4.3    3.8    5.9    4.8    20.4\n",
+              "2017-08-29 00:20:04.719826          109    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.7   6.7       9       31        3        0        0        2        0        8        6       15        44   28.4    2.8    0.0    0.0    1.8    0.0    7.3    5.5   13.8    40.4\n",
+              "2017-08-29 00:20:04.963407            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 00:20:05.153931           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 00:20:05.362446          922            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       33       20        8        9       30       54       46       58       259   43.9    3.6    2.2    0.9    1.0    3.3    5.9    5.0    6.3    28.1\n",
+              "2017-08-29 00:20:05.561969          556        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       44       50       35       35       202   23.2    2.0    1.8    1.4    5.8    7.9    9.0    6.3    6.3    36.3\n",
+              "2017-08-29 00:20:05.745307         2646          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1020       67       39       24       55      107      152      145      144       893   38.5    2.5    1.5    0.9    2.1    4.0    5.7    5.5    5.4    33.7\n",
+              "2017-08-29 00:30:01.871400         1682               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.3       6      671       50       29       12       42       79      107       90       83       519   39.9    3.0    1.7    0.7    2.5    4.7    6.4    5.4    4.9    30.9\n",
+              "2017-08-29 00:30:02.159544          257             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.3      10       53        3        4        4        4        5       14       13       26       131   20.6    1.2    1.6    1.6    1.6    1.9    5.4    5.1   10.1    51.0\n",
+              "2017-08-29 00:30:02.404083           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 00:30:02.600767           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 00:30:02.793468            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 00:30:02.988056          450          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        7       17       24       35       28       23       190   26.0    0.7    1.3    1.6    3.8    5.3    7.8    6.2    5.1    42.2\n",
+              "2017-08-29 00:30:03.183027          402    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        6       15       20       33       25       21       163   27.9    0.7    1.0    1.5    3.7    5.0    8.2    6.2    5.2    40.5\n",
+              "2017-08-29 00:30:03.444337           41  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        3        2        23    9.8    0.0    4.9    2.4    4.9    4.9    4.9    7.3    4.9    56.1\n",
+              "2017-08-29 00:30:03.646540          771          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.6   5.6       7      287       21       12        4       21       36       53       38       49       250   37.2    2.7    1.6    0.5    2.7    4.7    6.9    4.9    6.4    32.4\n",
+              "2017-08-29 00:30:03.871460          679    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       33       51       34       39       200   39.8    2.9    1.5    0.3    2.9    4.9    7.5    5.0    5.7    29.5\n",
+              "2017-08-29 00:30:04.094055           76  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.5   8.0      10       11        0        2        2        0        2        1        2        9        47   14.5    0.0    2.6    2.6    0.0    2.6    1.3    2.6   11.8    61.8\n",
+              "2017-08-29 00:30:04.354898          539            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      245       28       13        3        8       19       24       32       35       132   45.5    5.2    2.4    0.6    1.5    3.5    4.5    5.9    6.5    24.5\n",
+              "2017-08-29 00:30:04.582523          421      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       25       13        3        6       18       16       25       20        86   49.6    5.9    3.1    0.7    1.4    4.3    3.8    5.9    4.8    20.4\n",
+              "2017-08-29 00:30:04.781039          109    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.7   6.7       9       31        3        0        0        2        0        8        6       15        44   28.4    2.8    0.0    0.0    1.8    0.0    7.3    5.5   13.8    40.4\n",
+              "2017-08-29 00:30:04.980539            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 00:30:05.175484           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 00:30:05.398486          922            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       33       20        8        9       30       54       46       58       259   43.9    3.6    2.2    0.9    1.0    3.3    5.9    5.0    6.3    28.1\n",
+              "2017-08-29 00:30:05.628000          556        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       44       50       35       35       202   23.2    2.0    1.8    1.4    5.8    7.9    9.0    6.3    6.3    36.3\n",
+              "2017-08-29 00:30:05.818552         2646          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1020       67       39       24       55      107      152      145      144       893   38.5    2.5    1.5    0.9    2.1    4.0    5.7    5.5    5.4    33.7\n",
+              "2017-08-29 00:40:01.777544         1682               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.3       6      671       50       29       12       42       79      107       90       83       519   39.9    3.0    1.7    0.7    2.5    4.7    6.4    5.4    4.9    30.9\n",
+              "2017-08-29 00:40:02.070015          257             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.3      10       53        3        4        4        4        5       14       13       26       131   20.6    1.2    1.6    1.6    1.6    1.9    5.4    5.1   10.1    51.0\n",
+              "2017-08-29 00:40:02.317815           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 00:40:02.684643           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 00:40:02.935713            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 00:40:03.175592          450          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        7       17       24       35       28       23       190   26.0    0.7    1.3    1.6    3.8    5.3    7.8    6.2    5.1    42.2\n",
+              "2017-08-29 00:40:03.433296          402    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        6       15       20       33       25       21       163   27.9    0.7    1.0    1.5    3.7    5.0    8.2    6.2    5.2    40.5\n",
+              "2017-08-29 00:40:03.660586           41  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        3        2        23    9.8    0.0    4.9    2.4    4.9    4.9    4.9    7.3    4.9    56.1\n",
+              "2017-08-29 00:40:03.843442          771          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.6   5.6       7      287       21       12        4       21       36       53       38       49       250   37.2    2.7    1.6    0.5    2.7    4.7    6.9    4.9    6.4    32.4\n",
+              "2017-08-29 00:40:04.080495          679    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       33       51       34       39       200   39.8    2.9    1.5    0.3    2.9    4.9    7.5    5.0    5.7    29.5\n",
+              "2017-08-29 00:40:04.319020           76  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.5   8.0      10       11        0        2        2        0        2        1        2        9        47   14.5    0.0    2.6    2.6    0.0    2.6    1.3    2.6   11.8    61.8\n",
+              "2017-08-29 00:40:04.512127          539            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      245       28       13        3        8       19       24       32       35       132   45.5    5.2    2.4    0.6    1.5    3.5    4.5    5.9    6.5    24.5\n",
+              "2017-08-29 00:40:04.778000          421      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       25       13        3        6       18       16       25       20        86   49.6    5.9    3.1    0.7    1.4    4.3    3.8    5.9    4.8    20.4\n",
+              "2017-08-29 00:40:04.971184          109    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.7   6.7       9       31        3        0        0        2        0        8        6       15        44   28.4    2.8    0.0    0.0    1.8    0.0    7.3    5.5   13.8    40.4\n",
+              "2017-08-29 00:40:05.225766            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 00:40:05.465175           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 00:40:05.703539          922            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       33       20        8        9       30       54       46       58       259   43.9    3.6    2.2    0.9    1.0    3.3    5.9    5.0    6.3    28.1\n",
+              "2017-08-29 00:40:05.936422          556        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       44       50       35       35       202   23.2    2.0    1.8    1.4    5.8    7.9    9.0    6.3    6.3    36.3\n",
+              "2017-08-29 00:40:06.180928         2646          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1020       67       39       24       55      107      152      145      144       893   38.5    2.5    1.5    0.9    2.1    4.0    5.7    5.5    5.4    33.7\n",
+              "2017-08-29 00:50:02.024293         1682               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.3       6      671       50       29       12       42       79      107       90       83       519   39.9    3.0    1.7    0.7    2.5    4.7    6.4    5.4    4.9    30.9\n",
+              "2017-08-29 00:50:02.264287          257             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.3      10       53        3        4        4        4        5       14       13       26       131   20.6    1.2    1.6    1.6    1.6    1.9    5.4    5.1   10.1    51.0\n",
+              "2017-08-29 00:50:02.481213           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 00:50:02.721953           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 00:50:02.910316            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 00:50:03.114569          450          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        7       17       24       35       28       23       190   26.0    0.7    1.3    1.6    3.8    5.3    7.8    6.2    5.1    42.2\n",
+              "2017-08-29 00:50:03.382092          402    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        6       15       20       33       25       21       163   27.9    0.7    1.0    1.5    3.7    5.0    8.2    6.2    5.2    40.5\n",
+              "2017-08-29 00:50:03.575066           41  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        3        2        23    9.8    0.0    4.9    2.4    4.9    4.9    4.9    7.3    4.9    56.1\n",
+              "2017-08-29 00:50:03.762056          771          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.6   5.6       7      287       21       12        4       21       36       53       38       49       250   37.2    2.7    1.6    0.5    2.7    4.7    6.9    4.9    6.4    32.4\n",
+              "2017-08-29 00:50:03.953844          679    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       33       51       34       39       200   39.8    2.9    1.5    0.3    2.9    4.9    7.5    5.0    5.7    29.5\n",
+              "2017-08-29 00:50:04.144501           76  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.5   8.0      10       11        0        2        2        0        2        1        2        9        47   14.5    0.0    2.6    2.6    0.0    2.6    1.3    2.6   11.8    61.8\n",
+              "2017-08-29 00:50:04.326927          539            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      245       28       13        3        8       19       24       32       35       132   45.5    5.2    2.4    0.6    1.5    3.5    4.5    5.9    6.5    24.5\n",
+              "2017-08-29 00:50:04.560773          421      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       25       13        3        6       18       16       25       20        86   49.6    5.9    3.1    0.7    1.4    4.3    3.8    5.9    4.8    20.4\n",
+              "2017-08-29 00:50:04.749542          109    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.7   6.7       9       31        3        0        0        2        0        8        6       15        44   28.4    2.8    0.0    0.0    1.8    0.0    7.3    5.5   13.8    40.4\n",
+              "2017-08-29 00:50:04.973101            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 00:50:05.163635           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 00:50:05.405105          922            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       33       20        8        9       30       54       46       58       259   43.9    3.6    2.2    0.9    1.0    3.3    5.9    5.0    6.3    28.1\n",
+              "2017-08-29 00:50:05.589963          556        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       44       50       35       35       202   23.2    2.0    1.8    1.4    5.8    7.9    9.0    6.3    6.3    36.3\n",
+              "2017-08-29 00:50:05.826082         2646          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1020       67       39       24       55      107      152      145      144       893   38.5    2.5    1.5    0.9    2.1    4.0    5.7    5.5    5.4    33.7\n",
+              "2017-08-29 01:00:01.681576         1682               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.3       6      671       50       29       12       42       79      107       90       83       519   39.9    3.0    1.7    0.7    2.5    4.7    6.4    5.4    4.9    30.9\n",
+              "2017-08-29 01:00:01.880347          257             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.3      10       53        3        4        4        4        5       14       13       26       131   20.6    1.2    1.6    1.6    1.6    1.9    5.4    5.1   10.1    51.0\n",
+              "2017-08-29 01:00:02.086574           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 01:00:02.349999           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 01:00:02.609609            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 01:00:02.813114          450          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        7       17       24       35       28       23       190   26.0    0.7    1.3    1.6    3.8    5.3    7.8    6.2    5.1    42.2\n",
+              "2017-08-29 01:00:03.026884          402    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        6       15       20       33       25       21       163   27.9    0.7    1.0    1.5    3.7    5.0    8.2    6.2    5.2    40.5\n",
+              "2017-08-29 01:00:03.226882           41  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        3        2        23    9.8    0.0    4.9    2.4    4.9    4.9    4.9    7.3    4.9    56.1\n",
+              "2017-08-29 01:00:03.453908          771          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.6   5.6       7      287       21       12        4       21       36       53       38       49       250   37.2    2.7    1.6    0.5    2.7    4.7    6.9    4.9    6.4    32.4\n",
+              "2017-08-29 01:00:03.681279          679    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       33       51       34       39       200   39.8    2.9    1.5    0.3    2.9    4.9    7.5    5.0    5.7    29.5\n",
+              "2017-08-29 01:00:03.881050           76  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.5   8.0      10       11        0        2        2        0        2        1        2        9        47   14.5    0.0    2.6    2.6    0.0    2.6    1.3    2.6   11.8    61.8\n",
+              "2017-08-29 01:00:04.067424          539            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      245       28       13        3        8       19       24       32       35       132   45.5    5.2    2.4    0.6    1.5    3.5    4.5    5.9    6.5    24.5\n",
+              "2017-08-29 01:00:04.273558          421      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       25       13        3        6       18       16       25       20        86   49.6    5.9    3.1    0.7    1.4    4.3    3.8    5.9    4.8    20.4\n",
+              "2017-08-29 01:00:04.472640          109    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.7   6.7       9       31        3        0        0        2        0        8        6       15        44   28.4    2.8    0.0    0.0    1.8    0.0    7.3    5.5   13.8    40.4\n",
+              "2017-08-29 01:00:04.662203            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 01:00:04.858797           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 01:00:05.098105          922            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       33       20        8        9       30       54       46       58       259   43.9    3.6    2.2    0.9    1.0    3.3    5.9    5.0    6.3    28.1\n",
+              "2017-08-29 01:00:05.291988          556        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       44       50       35       35       202   23.2    2.0    1.8    1.4    5.8    7.9    9.0    6.3    6.3    36.3\n",
+              "2017-08-29 01:00:05.483262         2646          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1020       67       39       24       55      107      152      145      144       893   38.5    2.5    1.5    0.9    2.1    4.0    5.7    5.5    5.4    33.7\n",
+              "2017-08-29 01:10:01.752176         1682               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.3       6      671       50       29       12       42       79      107       90       83       519   39.9    3.0    1.7    0.7    2.5    4.7    6.4    5.4    4.9    30.9\n",
+              "2017-08-29 01:10:02.002477          257             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.3      10       53        3        4        4        4        5       14       13       26       131   20.6    1.2    1.6    1.6    1.6    1.9    5.4    5.1   10.1    51.0\n",
+              "2017-08-29 01:10:02.247123           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 01:10:02.457100           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 01:10:02.683877            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 01:10:02.918030          450          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        7       17       24       35       28       23       190   26.0    0.7    1.3    1.6    3.8    5.3    7.8    6.2    5.1    42.2\n",
+              "2017-08-29 01:10:03.169176          402    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        6       15       20       33       25       21       163   27.9    0.7    1.0    1.5    3.7    5.0    8.2    6.2    5.2    40.5\n",
+              "2017-08-29 01:10:03.436911           41  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        3        2        23    9.8    0.0    4.9    2.4    4.9    4.9    4.9    7.3    4.9    56.1\n",
+              "2017-08-29 01:10:03.715587          771          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.6   5.6       7      287       21       12        4       21       36       53       38       49       250   37.2    2.7    1.6    0.5    2.7    4.7    6.9    4.9    6.4    32.4\n",
+              "2017-08-29 01:10:03.945915          679    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       33       51       34       39       200   39.8    2.9    1.5    0.3    2.9    4.9    7.5    5.0    5.7    29.5\n",
+              "2017-08-29 01:10:04.207970           76  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.5   8.0      10       11        0        2        2        0        2        1        2        9        47   14.5    0.0    2.6    2.6    0.0    2.6    1.3    2.6   11.8    61.8\n",
+              "2017-08-29 01:10:04.488149          539            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      245       28       13        3        8       19       24       32       35       132   45.5    5.2    2.4    0.6    1.5    3.5    4.5    5.9    6.5    24.5\n",
+              "2017-08-29 01:10:04.672181          421      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       25       13        3        6       18       16       25       20        86   49.6    5.9    3.1    0.7    1.4    4.3    3.8    5.9    4.8    20.4\n",
+              "2017-08-29 01:10:04.950135          109    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.7   6.7       9       31        3        0        0        2        0        8        6       15        44   28.4    2.8    0.0    0.0    1.8    0.0    7.3    5.5   13.8    40.4\n",
+              "2017-08-29 01:10:05.180546            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 01:10:05.405598           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 01:10:05.607947          922            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       33       20        8        9       30       54       46       58       259   43.9    3.6    2.2    0.9    1.0    3.3    5.9    5.0    6.3    28.1\n",
+              "2017-08-29 01:10:05.844494          556        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       44       50       35       35       202   23.2    2.0    1.8    1.4    5.8    7.9    9.0    6.3    6.3    36.3\n",
+              "2017-08-29 01:10:06.038644         2646          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1020       67       39       24       55      107      152      145      144       893   38.5    2.5    1.5    0.9    2.1    4.0    5.7    5.5    5.4    33.7\n",
+              "2017-08-29 01:20:02.147356         1682               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.3       6      671       50       29       12       42       79      107       90       83       519   39.9    3.0    1.7    0.7    2.5    4.7    6.4    5.4    4.9    30.9\n",
+              "2017-08-29 01:20:02.369364          257             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.3      10       53        3        4        4        4        5       14       13       26       131   20.6    1.2    1.6    1.6    1.6    1.9    5.4    5.1   10.1    51.0\n",
+              "2017-08-29 01:20:02.552299           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 01:20:02.757978           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 01:20:03.001924            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 01:20:03.211374          450          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        7       17       24       35       28       23       190   26.0    0.7    1.3    1.6    3.8    5.3    7.8    6.2    5.1    42.2\n",
+              "2017-08-29 01:20:03.402492          402    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        6       15       20       33       25       21       163   27.9    0.7    1.0    1.5    3.7    5.0    8.2    6.2    5.2    40.5\n",
+              "2017-08-29 01:20:03.585217           41  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        3        2        23    9.8    0.0    4.9    2.4    4.9    4.9    4.9    7.3    4.9    56.1\n",
+              "2017-08-29 01:20:03.787002          771          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.6   5.6       7      287       21       12        4       21       36       53       38       49       250   37.2    2.7    1.6    0.5    2.7    4.7    6.9    4.9    6.4    32.4\n",
+              "2017-08-29 01:20:03.986562          679    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       33       51       34       39       200   39.8    2.9    1.5    0.3    2.9    4.9    7.5    5.0    5.7    29.5\n",
+              "2017-08-29 01:20:04.185062           76  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.5   8.0      10       11        0        2        2        0        2        1        2        9        47   14.5    0.0    2.6    2.6    0.0    2.6    1.3    2.6   11.8    61.8\n",
+              "2017-08-29 01:20:04.419800          539            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      245       28       13        3        8       19       24       32       35       132   45.5    5.2    2.4    0.6    1.5    3.5    4.5    5.9    6.5    24.5\n",
+              "2017-08-29 01:20:04.604515          421      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       25       13        3        6       18       16       25       20        86   49.6    5.9    3.1    0.7    1.4    4.3    3.8    5.9    4.8    20.4\n",
+              "2017-08-29 01:20:04.822060          109    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.7   6.7       9       31        3        0        0        2        0        8        6       15        44   28.4    2.8    0.0    0.0    1.8    0.0    7.3    5.5   13.8    40.4\n",
+              "2017-08-29 01:20:05.011733            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 01:20:05.202756           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 01:20:05.398442          922            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       33       20        8        9       30       54       46       58       259   43.9    3.6    2.2    0.9    1.0    3.3    5.9    5.0    6.3    28.1\n",
+              "2017-08-29 01:20:05.626917          556        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       44       50       35       35       202   23.2    2.0    1.8    1.4    5.8    7.9    9.0    6.3    6.3    36.3\n",
+              "2017-08-29 01:20:05.807155         2646          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1020       67       39       24       55      107      152      145      144       893   38.5    2.5    1.5    0.9    2.1    4.0    5.7    5.5    5.4    33.7\n",
+              "2017-08-29 01:30:01.580458         1682               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.3       6      671       50       29       12       42       79      107       90       83       519   39.9    3.0    1.7    0.7    2.5    4.7    6.4    5.4    4.9    30.9\n",
+              "2017-08-29 01:30:01.788808          257             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.3      10       53        3        4        4        4        5       14       13       26       131   20.6    1.2    1.6    1.6    1.6    1.9    5.4    5.1   10.1    51.0\n",
+              "2017-08-29 01:30:02.012633           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 01:30:02.207051           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 01:30:02.425601            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 01:30:02.674920          450          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        7       17       24       35       28       23       190   26.0    0.7    1.3    1.6    3.8    5.3    7.8    6.2    5.1    42.2\n",
+              "2017-08-29 01:30:02.888597          402    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        6       15       20       33       25       21       163   27.9    0.7    1.0    1.5    3.7    5.0    8.2    6.2    5.2    40.5\n",
+              "2017-08-29 01:30:03.081142           41  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        3        2        23    9.8    0.0    4.9    2.4    4.9    4.9    4.9    7.3    4.9    56.1\n",
+              "2017-08-29 01:30:03.284310          771          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.6   5.6       7      287       21       12        4       21       36       53       38       49       250   37.2    2.7    1.6    0.5    2.7    4.7    6.9    4.9    6.4    32.4\n",
+              "2017-08-29 01:30:03.478050          679    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       33       51       34       39       200   39.8    2.9    1.5    0.3    2.9    4.9    7.5    5.0    5.7    29.5\n",
+              "2017-08-29 01:30:03.672089           76  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.5   8.0      10       11        0        2        2        0        2        1        2        9        47   14.5    0.0    2.6    2.6    0.0    2.6    1.3    2.6   11.8    61.8\n",
+              "2017-08-29 01:30:03.864705          539            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      245       28       13        3        8       19       24       32       35       132   45.5    5.2    2.4    0.6    1.5    3.5    4.5    5.9    6.5    24.5\n",
+              "2017-08-29 01:30:04.057669          421      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       25       13        3        6       18       16       25       20        86   49.6    5.9    3.1    0.7    1.4    4.3    3.8    5.9    4.8    20.4\n",
+              "2017-08-29 01:30:04.250093          109    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.7   6.7       9       31        3        0        0        2        0        8        6       15        44   28.4    2.8    0.0    0.0    1.8    0.0    7.3    5.5   13.8    40.4\n",
+              "2017-08-29 01:30:04.442731            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 01:30:04.639556           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 01:30:04.849472          922            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       33       20        8        9       30       54       46       58       259   43.9    3.6    2.2    0.9    1.0    3.3    5.9    5.0    6.3    28.1\n",
+              "2017-08-29 01:30:05.076116          556        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       44       50       35       35       202   23.2    2.0    1.8    1.4    5.8    7.9    9.0    6.3    6.3    36.3\n",
+              "2017-08-29 01:30:05.317814         2646          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1020       67       39       24       55      107      152      145      144       893   38.5    2.5    1.5    0.9    2.1    4.0    5.7    5.5    5.4    33.7\n",
+              "2017-08-29 01:40:02.481739         1682               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.3       6      671       50       29       12       42       79      107       90       83       519   39.9    3.0    1.7    0.7    2.5    4.7    6.4    5.4    4.9    30.9\n",
+              "2017-08-29 01:40:02.673113          257             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.3      10       53        3        4        4        4        5       14       13       26       131   20.6    1.2    1.6    1.6    1.6    1.9    5.4    5.1   10.1    51.0\n",
+              "2017-08-29 01:40:02.893440           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 01:40:03.130513           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 01:40:03.327975            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 01:40:03.550468          450          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        7       17       24       35       28       23       190   26.0    0.7    1.3    1.6    3.8    5.3    7.8    6.2    5.1    42.2\n",
+              "2017-08-29 01:40:03.785283          402    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        6       15       20       33       25       21       163   27.9    0.7    1.0    1.5    3.7    5.0    8.2    6.2    5.2    40.5\n",
+              "2017-08-29 01:40:03.977957           41  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        3        2        23    9.8    0.0    4.9    2.4    4.9    4.9    4.9    7.3    4.9    56.1\n",
+              "2017-08-29 01:40:04.235228          771          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.6   5.6       7      287       21       12        4       21       36       53       38       49       250   37.2    2.7    1.6    0.5    2.7    4.7    6.9    4.9    6.4    32.4\n",
+              "2017-08-29 01:40:04.458518          679    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       33       51       34       39       200   39.8    2.9    1.5    0.3    2.9    4.9    7.5    5.0    5.7    29.5\n",
+              "2017-08-29 01:40:04.643971           76  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.5   8.0      10       11        0        2        2        0        2        1        2        9        47   14.5    0.0    2.6    2.6    0.0    2.6    1.3    2.6   11.8    61.8\n",
+              "2017-08-29 01:40:04.880736          539            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      245       28       13        3        8       19       24       32       35       132   45.5    5.2    2.4    0.6    1.5    3.5    4.5    5.9    6.5    24.5\n",
+              "2017-08-29 01:40:05.126440          421      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       25       13        3        6       18       16       25       20        86   49.6    5.9    3.1    0.7    1.4    4.3    3.8    5.9    4.8    20.4\n",
+              "2017-08-29 01:40:05.385812          109    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.7   6.7       9       31        3        0        0        2        0        8        6       15        44   28.4    2.8    0.0    0.0    1.8    0.0    7.3    5.5   13.8    40.4\n",
+              "2017-08-29 01:40:05.616117            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 01:40:05.850911           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 01:40:06.089198          922            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       33       20        8        9       30       54       46       58       259   43.9    3.6    2.2    0.9    1.0    3.3    5.9    5.0    6.3    28.1\n",
+              "2017-08-29 01:40:06.355221          556        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       44       50       35       35       202   23.2    2.0    1.8    1.4    5.8    7.9    9.0    6.3    6.3    36.3\n",
+              "2017-08-29 01:40:06.544065         2646          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1020       67       39       24       55      107      152      145      144       893   38.5    2.5    1.5    0.9    2.1    4.0    5.7    5.5    5.4    33.7\n",
+              "2017-08-29 01:50:01.596059         1682               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.3       6      671       50       29       12       42       79      107       90       83       519   39.9    3.0    1.7    0.7    2.5    4.7    6.4    5.4    4.9    30.9\n",
+              "2017-08-29 01:50:01.848408          257             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.3      10       53        3        4        4        4        5       14       13       26       131   20.6    1.2    1.6    1.6    1.6    1.9    5.4    5.1   10.1    51.0\n",
+              "2017-08-29 01:50:02.072880           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 01:50:02.265731           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 01:50:02.484758            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 01:50:02.694541          451          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       24       35       28       23       190   25.9    0.7    1.3    1.8    3.8    5.3    7.8    6.2    5.1    42.1\n",
+              "2017-08-29 01:50:02.936840          403    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       20       33       25       21       163   27.8    0.7    1.0    1.7    3.7    5.0    8.2    6.2    5.2    40.4\n",
+              "2017-08-29 01:50:03.175376           41  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        3        2        23    9.8    0.0    4.9    2.4    4.9    4.9    4.9    7.3    4.9    56.1\n",
+              "2017-08-29 01:50:03.373805          771          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.6   5.6       7      287       21       12        4       21       36       53       38       49       250   37.2    2.7    1.6    0.5    2.7    4.7    6.9    4.9    6.4    32.4\n",
+              "2017-08-29 01:50:03.567977          679    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       33       51       34       39       200   39.8    2.9    1.5    0.3    2.9    4.9    7.5    5.0    5.7    29.5\n",
+              "2017-08-29 01:50:03.759382           76  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.5   8.0      10       11        0        2        2        0        2        1        2        9        47   14.5    0.0    2.6    2.6    0.0    2.6    1.3    2.6   11.8    61.8\n",
+              "2017-08-29 01:50:03.985957          539            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      245       28       13        3        8       19       24       32       35       132   45.5    5.2    2.4    0.6    1.5    3.5    4.5    5.9    6.5    24.5\n",
+              "2017-08-29 01:50:04.212290          421      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       25       13        3        6       18       16       25       20        86   49.6    5.9    3.1    0.7    1.4    4.3    3.8    5.9    4.8    20.4\n",
+              "2017-08-29 01:50:04.423929          109    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.7   6.7       9       31        3        0        0        2        0        8        6       15        44   28.4    2.8    0.0    0.0    1.8    0.0    7.3    5.5   13.8    40.4\n",
+              "2017-08-29 01:50:04.643148            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 01:50:04.836776           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 01:50:05.026740          922            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       33       20        8        9       30       54       46       58       259   43.9    3.6    2.2    0.9    1.0    3.3    5.9    5.0    6.3    28.1\n",
+              "2017-08-29 01:50:05.225003          556        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       44       50       35       35       202   23.2    2.0    1.8    1.4    5.8    7.9    9.0    6.3    6.3    36.3\n",
+              "2017-08-29 01:50:05.458889         2647          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1020       67       39       25       55      107      152      145      144       893   38.5    2.5    1.5    0.9    2.1    4.0    5.7    5.5    5.4    33.7\n",
+              "2017-08-29 02:00:02.137329         1683               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.3       6      671       50       29       13       42       79      107       90       83       519   39.9    3.0    1.7    0.8    2.5    4.7    6.4    5.3    4.9    30.8\n",
+              "2017-08-29 02:00:02.387456          257             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.3      10       53        3        4        4        4        5       14       13       26       131   20.6    1.2    1.6    1.6    1.6    1.9    5.4    5.1   10.1    51.0\n",
+              "2017-08-29 02:00:02.585290           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 02:00:02.774946           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 02:00:02.974632            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 02:00:03.176843          451          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       24       35       28       23       190   25.9    0.7    1.3    1.8    3.8    5.3    7.8    6.2    5.1    42.1\n",
+              "2017-08-29 02:00:03.373787          403    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       20       33       25       21       163   27.8    0.7    1.0    1.7    3.7    5.0    8.2    6.2    5.2    40.4\n",
+              "2017-08-29 02:00:03.594029           41  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        3        2        23    9.8    0.0    4.9    2.4    4.9    4.9    4.9    7.3    4.9    56.1\n",
+              "2017-08-29 02:00:03.816315          771          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.6   5.6       7      287       21       12        4       21       36       53       38       49       250   37.2    2.7    1.6    0.5    2.7    4.7    6.9    4.9    6.4    32.4\n",
+              "2017-08-29 02:00:04.003920          679    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       33       51       34       39       200   39.8    2.9    1.5    0.3    2.9    4.9    7.5    5.0    5.7    29.5\n",
+              "2017-08-29 02:00:04.204633           76  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.5   8.0      10       11        0        2        2        0        2        1        2        9        47   14.5    0.0    2.6    2.6    0.0    2.6    1.3    2.6   11.8    61.8\n",
+              "2017-08-29 02:00:04.389674          539            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      245       28       13        3        8       19       24       32       35       132   45.5    5.2    2.4    0.6    1.5    3.5    4.5    5.9    6.5    24.5\n",
+              "2017-08-29 02:00:04.630598          421      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       25       13        3        6       18       16       25       20        86   49.6    5.9    3.1    0.7    1.4    4.3    3.8    5.9    4.8    20.4\n",
+              "2017-08-29 02:00:04.817421          109    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.7   6.7       9       31        3        0        0        2        0        8        6       15        44   28.4    2.8    0.0    0.0    1.8    0.0    7.3    5.5   13.8    40.4\n",
+              "2017-08-29 02:00:05.080602            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 02:00:05.277037           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 02:00:05.489382          922            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       33       20        8        9       30       54       46       58       259   43.9    3.6    2.2    0.9    1.0    3.3    5.9    5.0    6.3    28.1\n",
+              "2017-08-29 02:00:05.899988          556        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       44       50       35       35       202   23.2    2.0    1.8    1.4    5.8    7.9    9.0    6.3    6.3    36.3\n",
+              "2017-08-29 02:00:06.085184         2647          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1020       67       39       25       55      107      152      145      144       893   38.5    2.5    1.5    0.9    2.1    4.0    5.7    5.5    5.4    33.7\n",
+              "2017-08-29 02:10:02.261599         1683               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.3       6      671       50       29       13       42       79      107       90       83       519   39.9    3.0    1.7    0.8    2.5    4.7    6.4    5.3    4.9    30.8\n",
+              "2017-08-29 02:10:02.510074          257             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      6.9   7.3      10       53        3        4        4        4        5       14       13       26       131   20.6    1.2    1.6    1.6    1.6    1.9    5.4    5.1   10.1    51.0\n",
+              "2017-08-29 02:10:02.798765           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "...                                 ...                 ...                                                ...      ...   ...     ...      ...      ...      ...      ...      ...      ...      ...      ...      ...       ...    ...    ...    ...    ...    ...    ...    ...    ...    ...     ...\n",
+              "2017-08-29 21:00:06.591967          925            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       34       20        8        9       30       54       46       60       259   43.8    3.7    2.2    0.9    1.0    3.2    5.8    5.0    6.5    28.0\n",
+              "2017-08-29 21:00:06.832749          563        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       47       50       37       35       204   22.9    2.0    1.8    1.4    5.7    8.3    8.9    6.6    6.2    36.2\n",
+              "2017-08-29 21:00:07.056294         2660          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      152      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.7    5.5    5.5    33.7\n",
+              "2017-08-29 21:10:02.499121         1691               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.4       6      671       51       29       13       42       82      107       91       83       522   39.7    3.0    1.7    0.8    2.5    4.8    6.3    5.4    4.9    30.9\n",
+              "2017-08-29 21:10:02.755090          261             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      7.0   7.3      10       54        3        4        4        4        5       14       14       28       131   20.7    1.1    1.5    1.5    1.5    1.9    5.4    5.4   10.7    50.2\n",
+              "2017-08-29 21:10:03.027454           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 21:10:03.278452           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 21:10:03.509404            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 21:10:03.764352          454          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       25       35       29       23       191   25.8    0.7    1.3    1.8    3.7    5.5    7.7    6.4    5.1    42.1\n",
+              "2017-08-29 21:10:03.999536          405    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       21       33       25       21       164   27.7    0.7    1.0    1.7    3.7    5.2    8.1    6.2    5.2    40.5\n",
+              "2017-08-29 21:10:04.283981           42  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        4        2        23    9.5    0.0    4.8    2.4    4.8    4.8    4.8    9.5    4.8    54.8\n",
+              "2017-08-29 21:10:04.533865          775          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.7   5.6       7      287       21       12        4       21       38       53       39       50       250   37.0    2.7    1.5    0.5    2.7    4.9    6.8    5.0    6.5    32.3\n",
+              "2017-08-29 21:10:04.774513          682    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       35       51       35       39       200   39.6    2.9    1.5    0.3    2.9    5.1    7.5    5.1    5.7    29.3\n",
+              "2017-08-29 21:10:05.040550           77  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.6   8.1      10       11        0        2        2        0        2        1        2       10        47   14.3    0.0    2.6    2.6    0.0    2.6    1.3    2.6   13.0    61.0\n",
+              "2017-08-29 21:10:05.244203          543            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      246       29       13        3        8       19       24       32       36       133   45.3    5.3    2.4    0.6    1.5    3.5    4.4    5.9    6.6    24.5\n",
+              "2017-08-29 21:10:05.476645          423      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       26       13        3        6       18       16       25       20        87   49.4    6.1    3.1    0.7    1.4    4.3    3.8    5.9    4.7    20.6\n",
+              "2017-08-29 21:10:05.685096          111    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.6   6.6       9       32        3        0        0        2        0        8        6       16        44   28.8    2.7    0.0    0.0    1.8    0.0    7.2    5.4   14.4    39.6\n",
+              "2017-08-29 21:10:05.931503            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 21:10:06.116656           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 21:10:06.413707          925            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       34       20        8        9       30       54       46       60       259   43.8    3.7    2.2    0.9    1.0    3.2    5.8    5.0    6.5    28.0\n",
+              "2017-08-29 21:10:06.679323          563        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       47       50       37       35       204   22.9    2.0    1.8    1.4    5.7    8.3    8.9    6.6    6.2    36.2\n",
+              "2017-08-29 21:10:06.940833         2660          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      152      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.7    5.5    5.5    33.7\n",
+              "2017-08-29 21:20:02.049205         1691               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.4       6      671       51       29       13       42       82      107       91       83       522   39.7    3.0    1.7    0.8    2.5    4.8    6.3    5.4    4.9    30.9\n",
+              "2017-08-29 21:20:02.327924          261             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      7.0   7.3      10       54        3        4        4        4        5       14       14       28       131   20.7    1.1    1.5    1.5    1.5    1.9    5.4    5.4   10.7    50.2\n",
+              "2017-08-29 21:20:02.573445           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 21:20:02.806427           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 21:20:03.025376            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 21:20:03.222769          454          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       25       35       29       23       191   25.8    0.7    1.3    1.8    3.7    5.5    7.7    6.4    5.1    42.1\n",
+              "2017-08-29 21:20:03.423444          405    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       21       33       25       21       164   27.7    0.7    1.0    1.7    3.7    5.2    8.1    6.2    5.2    40.5\n",
+              "2017-08-29 21:20:03.615648           42  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        4        2        23    9.5    0.0    4.8    2.4    4.8    4.8    4.8    9.5    4.8    54.8\n",
+              "2017-08-29 21:20:03.813243          775          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.7   5.6       7      287       21       12        4       21       38       53       39       50       250   37.0    2.7    1.5    0.5    2.7    4.9    6.8    5.0    6.5    32.3\n",
+              "2017-08-29 21:20:04.037797          682    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       35       51       35       39       200   39.6    2.9    1.5    0.3    2.9    5.1    7.5    5.1    5.7    29.3\n",
+              "2017-08-29 21:20:04.465330           77  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.6   8.1      10       11        0        2        2        0        2        1        2       10        47   14.3    0.0    2.6    2.6    0.0    2.6    1.3    2.6   13.0    61.0\n",
+              "2017-08-29 21:20:04.655383          543            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      246       29       13        3        8       19       24       32       36       133   45.3    5.3    2.4    0.6    1.5    3.5    4.4    5.9    6.6    24.5\n",
+              "2017-08-29 21:20:04.851032          423      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       26       13        3        6       18       16       25       20        87   49.4    6.1    3.1    0.7    1.4    4.3    3.8    5.9    4.7    20.6\n",
+              "2017-08-29 21:20:05.057859          111    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.6   6.6       9       32        3        0        0        2        0        8        6       16        44   28.8    2.7    0.0    0.0    1.8    0.0    7.2    5.4   14.4    39.6\n",
+              "2017-08-29 21:20:05.350751            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 21:20:05.584322           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 21:20:05.826992          925            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       34       20        8        9       30       54       46       60       259   43.8    3.7    2.2    0.9    1.0    3.2    5.8    5.0    6.5    28.0\n",
+              "2017-08-29 21:20:06.014322          563        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       47       50       37       35       204   22.9    2.0    1.8    1.4    5.7    8.3    8.9    6.6    6.2    36.2\n",
+              "2017-08-29 21:20:06.241187         2660          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      152      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.7    5.5    5.5    33.7\n",
+              "2017-08-29 21:30:02.022334         1691               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.4       6      671       51       29       13       42       82      107       91       83       522   39.7    3.0    1.7    0.8    2.5    4.8    6.3    5.4    4.9    30.9\n",
+              "2017-08-29 21:30:02.267144          261             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      7.0   7.3      10       54        3        4        4        4        5       14       14       28       131   20.7    1.1    1.5    1.5    1.5    1.9    5.4    5.4   10.7    50.2\n",
+              "2017-08-29 21:30:02.497314           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 21:30:02.778430           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 21:30:02.985432            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 21:30:03.269993          454          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       25       35       29       23       191   25.8    0.7    1.3    1.8    3.7    5.5    7.7    6.4    5.1    42.1\n",
+              "2017-08-29 21:30:03.503209          405    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       21       33       25       21       164   27.7    0.7    1.0    1.7    3.7    5.2    8.1    6.2    5.2    40.5\n",
+              "2017-08-29 21:30:03.777430           42  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        4        2        23    9.5    0.0    4.8    2.4    4.8    4.8    4.8    9.5    4.8    54.8\n",
+              "2017-08-29 21:30:03.988004          775          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.7   5.6       7      287       21       12        4       21       38       53       39       50       250   37.0    2.7    1.5    0.5    2.7    4.9    6.8    5.0    6.5    32.3\n",
+              "2017-08-29 21:30:04.190149          682    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       35       51       35       39       200   39.6    2.9    1.5    0.3    2.9    5.1    7.5    5.1    5.7    29.3\n",
+              "2017-08-29 21:30:04.384178           77  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.6   8.1      10       11        0        2        2        0        2        1        2       10        47   14.3    0.0    2.6    2.6    0.0    2.6    1.3    2.6   13.0    61.0\n",
+              "2017-08-29 21:30:04.589343          543            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      246       29       13        3        8       19       24       32       36       133   45.3    5.3    2.4    0.6    1.5    3.5    4.4    5.9    6.6    24.5\n",
+              "2017-08-29 21:30:04.851700          423      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       26       13        3        6       18       16       25       20        87   49.4    6.1    3.1    0.7    1.4    4.3    3.8    5.9    4.7    20.6\n",
+              "2017-08-29 21:30:05.046516          111    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.6   6.6       9       32        3        0        0        2        0        8        6       16        44   28.8    2.7    0.0    0.0    1.8    0.0    7.2    5.4   14.4    39.6\n",
+              "2017-08-29 21:30:05.286955            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 21:30:05.570472           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 21:30:05.820628          925            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       34       20        8        9       30       54       46       60       259   43.8    3.7    2.2    0.9    1.0    3.2    5.8    5.0    6.5    28.0\n",
+              "2017-08-29 21:30:06.043694          563        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       47       50       37       35       204   22.9    2.0    1.8    1.4    5.7    8.3    8.9    6.6    6.2    36.2\n",
+              "2017-08-29 21:30:06.277390         2660          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      152      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.7    5.5    5.5    33.7\n",
+              "2017-08-29 21:40:01.864356         1691               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.4       6      671       51       29       13       42       82      107       91       83       522   39.7    3.0    1.7    0.8    2.5    4.8    6.3    5.4    4.9    30.9\n",
+              "2017-08-29 21:40:02.117392          261             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      7.0   7.3      10       54        3        4        4        4        5       14       14       28       131   20.7    1.1    1.5    1.5    1.5    1.9    5.4    5.4   10.7    50.2\n",
+              "2017-08-29 21:40:02.402743           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 21:40:02.621231           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 21:40:02.852517            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 21:40:03.082517          454          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       25       35       29       23       191   25.8    0.7    1.3    1.8    3.7    5.5    7.7    6.4    5.1    42.1\n",
+              "2017-08-29 21:40:03.371776          405    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       21       33       25       21       164   27.7    0.7    1.0    1.7    3.7    5.2    8.1    6.2    5.2    40.5\n",
+              "2017-08-29 21:40:03.584687           42  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        4        2        23    9.5    0.0    4.8    2.4    4.8    4.8    4.8    9.5    4.8    54.8\n",
+              "2017-08-29 21:40:04.103447          775          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.7   5.6       7      287       21       12        4       21       38       53       39       50       250   37.0    2.7    1.5    0.5    2.7    4.9    6.8    5.0    6.5    32.3\n",
+              "2017-08-29 21:40:04.362714          682    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       35       51       35       39       200   39.6    2.9    1.5    0.3    2.9    5.1    7.5    5.1    5.7    29.3\n",
+              "2017-08-29 21:40:04.579670           77  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.6   8.1      10       11        0        2        2        0        2        1        2       10        47   14.3    0.0    2.6    2.6    0.0    2.6    1.3    2.6   13.0    61.0\n",
+              "2017-08-29 21:40:04.866699          543            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      246       29       13        3        8       19       24       32       36       133   45.3    5.3    2.4    0.6    1.5    3.5    4.4    5.9    6.6    24.5\n",
+              "2017-08-29 21:40:05.072773          423      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       26       13        3        6       18       16       25       20        87   49.4    6.1    3.1    0.7    1.4    4.3    3.8    5.9    4.7    20.6\n",
+              "2017-08-29 21:40:05.303744          111    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.6   6.6       9       32        3        0        0        2        0        8        6       16        44   28.8    2.7    0.0    0.0    1.8    0.0    7.2    5.4   14.4    39.6\n",
+              "2017-08-29 21:40:05.535942            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 21:40:05.735088           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 21:40:05.937246          925            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       34       20        8        9       30       54       46       60       259   43.8    3.7    2.2    0.9    1.0    3.2    5.8    5.0    6.5    28.0\n",
+              "2017-08-29 21:40:06.134686          563        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       47       50       37       35       204   22.9    2.0    1.8    1.4    5.7    8.3    8.9    6.6    6.2    36.2\n",
+              "2017-08-29 21:40:06.384083         2660          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      152      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.7    5.5    5.5    33.7\n",
+              "2017-08-29 21:50:01.646095         1691               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.4       6      671       51       29       13       42       82      107       91       83       522   39.7    3.0    1.7    0.8    2.5    4.8    6.3    5.4    4.9    30.9\n",
+              "2017-08-29 21:50:01.876217          261             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      7.0   7.3      10       54        3        4        4        4        5       14       14       28       131   20.7    1.1    1.5    1.5    1.5    1.9    5.4    5.4   10.7    50.2\n",
+              "2017-08-29 21:50:02.194977           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 21:50:02.417823           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 21:50:02.631315            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 21:50:02.908343          454          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       25       35       29       23       191   25.8    0.7    1.3    1.8    3.7    5.5    7.7    6.4    5.1    42.1\n",
+              "2017-08-29 21:50:03.244656          406    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       21       34       25       21       164   27.6    0.7    1.0    1.7    3.7    5.2    8.4    6.2    5.2    40.4\n",
+              "2017-08-29 21:50:03.446434           42  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        4        2        23    9.5    0.0    4.8    2.4    4.8    4.8    4.8    9.5    4.8    54.8\n",
+              "2017-08-29 21:50:03.681429          775          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.7   5.6       7      287       21       12        4       21       38       53       39       50       250   37.0    2.7    1.5    0.5    2.7    4.9    6.8    5.0    6.5    32.3\n",
+              "2017-08-29 21:50:03.902466          682    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       35       51       35       39       200   39.6    2.9    1.5    0.3    2.9    5.1    7.5    5.1    5.7    29.3\n",
+              "2017-08-29 21:50:04.101996           77  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.6   8.1      10       11        0        2        2        0        2        1        2       10        47   14.3    0.0    2.6    2.6    0.0    2.6    1.3    2.6   13.0    61.0\n",
+              "2017-08-29 21:50:04.349614          544            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      246       29       13        3        8       19       25       32       36       133   45.2    5.3    2.4    0.6    1.5    3.5    4.6    5.9    6.6    24.4\n",
+              "2017-08-29 21:50:04.552749          424      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       26       13        3        6       18       17       25       20        87   49.3    6.1    3.1    0.7    1.4    4.2    4.0    5.9    4.7    20.5\n",
+              "2017-08-29 21:50:04.748405          111    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.6   6.6       9       32        3        0        0        2        0        8        6       16        44   28.8    2.7    0.0    0.0    1.8    0.0    7.2    5.4   14.4    39.6\n",
+              "2017-08-29 21:50:04.974363            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 21:50:05.258332           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 21:50:05.476150          925            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       34       20        8        9       30       54       46       60       259   43.8    3.7    2.2    0.9    1.0    3.2    5.8    5.0    6.5    28.0\n",
+              "2017-08-29 21:50:05.752909          565        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       47       52       37       35       204   22.8    1.9    1.8    1.4    5.7    8.3    9.2    6.5    6.2    36.1\n",
+              "2017-08-29 21:50:06.071510         2662          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      154      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.8    5.5    5.5    33.7\n",
+              "2017-08-29 22:00:02.676243         1693               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.4       6      671       51       29       13       42       82      109       91       83       522   39.6    3.0    1.7    0.8    2.5    4.8    6.4    5.4    4.9    30.8\n",
+              "2017-08-29 22:00:02.888891          261             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      7.0   7.3      10       54        3        4        4        4        5       14       14       28       131   20.7    1.1    1.5    1.5    1.5    1.9    5.4    5.4   10.7    50.2\n",
+              "2017-08-29 22:00:03.117695           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 22:00:03.316191           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 22:00:03.564250            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 22:00:03.763627          455          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       25       36       29       23       191   25.7    0.7    1.3    1.8    3.7    5.5    7.9    6.4    5.1    42.0\n",
+              "2017-08-29 22:00:03.971895          406    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       21       34       25       21       164   27.6    0.7    1.0    1.7    3.7    5.2    8.4    6.2    5.2    40.4\n",
+              "2017-08-29 22:00:04.165842           42  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        4        2        23    9.5    0.0    4.8    2.4    4.8    4.8    4.8    9.5    4.8    54.8\n",
+              "2017-08-29 22:00:04.393179          775          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.7   5.6       7      287       21       12        4       21       38       53       39       50       250   37.0    2.7    1.5    0.5    2.7    4.9    6.8    5.0    6.5    32.3\n",
+              "2017-08-29 22:00:04.636518          682    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       35       51       35       39       200   39.6    2.9    1.5    0.3    2.9    5.1    7.5    5.1    5.7    29.3\n",
+              "2017-08-29 22:00:04.850741           77  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.6   8.1      10       11        0        2        2        0        2        1        2       10        47   14.3    0.0    2.6    2.6    0.0    2.6    1.3    2.6   13.0    61.0\n",
+              "2017-08-29 22:00:05.051506          544            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      246       29       13        3        8       19       25       32       36       133   45.2    5.3    2.4    0.6    1.5    3.5    4.6    5.9    6.6    24.4\n",
+              "2017-08-29 22:00:05.257314          424      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       26       13        3        6       18       17       25       20        87   49.3    6.1    3.1    0.7    1.4    4.2    4.0    5.9    4.7    20.5\n",
+              "2017-08-29 22:00:05.476343          111    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.6   6.6       9       32        3        0        0        2        0        8        6       16        44   28.8    2.7    0.0    0.0    1.8    0.0    7.2    5.4   14.4    39.6\n",
+              "2017-08-29 22:00:05.666961            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 22:00:05.870349           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 22:00:06.087855          925            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       34       20        8        9       30       54       46       60       259   43.8    3.7    2.2    0.9    1.0    3.2    5.8    5.0    6.5    28.0\n",
+              "2017-08-29 22:00:06.302452          565        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       47       52       37       35       204   22.8    1.9    1.8    1.4    5.7    8.3    9.2    6.5    6.2    36.1\n",
+              "2017-08-29 22:00:06.565253         2662          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      154      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.8    5.5    5.5    33.7\n",
+              "2017-08-29 22:10:02.592561         1693               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.4       6      671       51       29       13       42       82      109       91       83       522   39.6    3.0    1.7    0.8    2.5    4.8    6.4    5.4    4.9    30.8\n",
+              "2017-08-29 22:10:02.822072          261             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      7.0   7.3      10       54        3        4        4        4        5       14       14       28       131   20.7    1.1    1.5    1.5    1.5    1.9    5.4    5.4   10.7    50.2\n",
+              "2017-08-29 22:10:03.086199           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 22:10:03.333713           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 22:10:03.600150            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 22:10:04.032292          455          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       25       36       29       23       191   25.7    0.7    1.3    1.8    3.7    5.5    7.9    6.4    5.1    42.0\n",
+              "2017-08-29 22:10:04.234074          406    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       21       34       25       21       164   27.6    0.7    1.0    1.7    3.7    5.2    8.4    6.2    5.2    40.4\n",
+              "2017-08-29 22:10:04.488304           42  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        4        2        23    9.5    0.0    4.8    2.4    4.8    4.8    4.8    9.5    4.8    54.8\n",
+              "2017-08-29 22:10:04.767419          775          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.7   5.6       7      287       21       12        4       21       38       53       39       50       250   37.0    2.7    1.5    0.5    2.7    4.9    6.8    5.0    6.5    32.3\n",
+              "2017-08-29 22:10:04.958493          682    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       35       51       35       39       200   39.6    2.9    1.5    0.3    2.9    5.1    7.5    5.1    5.7    29.3\n",
+              "2017-08-29 22:10:05.171676           77  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.6   8.1      10       11        0        2        2        0        2        1        2       10        47   14.3    0.0    2.6    2.6    0.0    2.6    1.3    2.6   13.0    61.0\n",
+              "2017-08-29 22:10:05.369143          544            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      246       29       13        3        8       19       25       32       36       133   45.2    5.3    2.4    0.6    1.5    3.5    4.6    5.9    6.6    24.4\n",
+              "2017-08-29 22:10:05.629635          424      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       26       13        3        6       18       17       25       20        87   49.3    6.1    3.1    0.7    1.4    4.2    4.0    5.9    4.7    20.5\n",
+              "2017-08-29 22:10:05.834118          111    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.6   6.6       9       32        3        0        0        2        0        8        6       16        44   28.8    2.7    0.0    0.0    1.8    0.0    7.2    5.4   14.4    39.6\n",
+              "2017-08-29 22:10:06.087233            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 22:10:06.307571           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 22:10:06.562494          925            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       34       20        8        9       30       54       46       60       259   43.8    3.7    2.2    0.9    1.0    3.2    5.8    5.0    6.5    28.0\n",
+              "2017-08-29 22:10:06.851425          565        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       47       52       37       35       204   22.8    1.9    1.8    1.4    5.7    8.3    9.2    6.5    6.2    36.1\n",
+              "2017-08-29 22:10:07.085246         2662          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      154      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.8    5.5    5.5    33.7\n",
+              "2017-08-29 22:20:02.516161         1693               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.4       6      671       51       29       13       42       82      109       91       83       522   39.6    3.0    1.7    0.8    2.5    4.8    6.4    5.4    4.9    30.8\n",
+              "2017-08-29 22:20:02.715546          261             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      7.0   7.3      10       54        3        4        4        4        5       14       14       28       131   20.7    1.1    1.5    1.5    1.5    1.9    5.4    5.4   10.7    50.2\n",
+              "2017-08-29 22:20:02.955813           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 22:20:03.271107           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 22:20:03.459495            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 22:20:03.675107          455          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       25       36       29       23       191   25.7    0.7    1.3    1.8    3.7    5.5    7.9    6.4    5.1    42.0\n",
+              "2017-08-29 22:20:03.892529          406    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       21       34       25       21       164   27.6    0.7    1.0    1.7    3.7    5.2    8.4    6.2    5.2    40.4\n",
+              "2017-08-29 22:20:04.331815           42  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        4        2        23    9.5    0.0    4.8    2.4    4.8    4.8    4.8    9.5    4.8    54.8\n",
+              "2017-08-29 22:20:04.600395          775          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.7   5.6       7      287       21       12        4       21       38       53       39       50       250   37.0    2.7    1.5    0.5    2.7    4.9    6.8    5.0    6.5    32.3\n",
+              "2017-08-29 22:20:04.809232          682    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       35       51       35       39       200   39.6    2.9    1.5    0.3    2.9    5.1    7.5    5.1    5.7    29.3\n",
+              "2017-08-29 22:20:05.016956           77  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.6   8.1      10       11        0        2        2        0        2        1        2       10        47   14.3    0.0    2.6    2.6    0.0    2.6    1.3    2.6   13.0    61.0\n",
+              "2017-08-29 22:20:05.250174          544            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      246       29       13        3        8       19       25       32       36       133   45.2    5.3    2.4    0.6    1.5    3.5    4.6    5.9    6.6    24.4\n",
+              "2017-08-29 22:20:05.476962          424      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       26       13        3        6       18       17       25       20        87   49.3    6.1    3.1    0.7    1.4    4.2    4.0    5.9    4.7    20.5\n",
+              "2017-08-29 22:20:05.678405          111    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.6   6.6       9       32        3        0        0        2        0        8        6       16        44   28.8    2.7    0.0    0.0    1.8    0.0    7.2    5.4   14.4    39.6\n",
+              "2017-08-29 22:20:05.911489            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 22:20:06.345149           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 22:20:06.556737          925            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       34       20        8        9       30       54       46       60       259   43.8    3.7    2.2    0.9    1.0    3.2    5.8    5.0    6.5    28.0\n",
+              "2017-08-29 22:20:06.752716          565        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       47       52       37       35       204   22.8    1.9    1.8    1.4    5.7    8.3    9.2    6.5    6.2    36.1\n",
+              "2017-08-29 22:20:06.947696         2662          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      154      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.8    5.5    5.5    33.7\n",
+              "2017-08-29 22:30:02.367177         1693               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.4       6      671       51       29       13       42       82      109       91       83       522   39.6    3.0    1.7    0.8    2.5    4.8    6.4    5.4    4.9    30.8\n",
+              "2017-08-29 22:30:02.606049          261             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      7.0   7.3      10       54        3        4        4        4        5       14       14       28       131   20.7    1.1    1.5    1.5    1.5    1.9    5.4    5.4   10.7    50.2\n",
+              "2017-08-29 22:30:02.830934           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 22:30:03.052841           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 22:30:03.270746            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 22:30:03.493250          455          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       25       36       29       23       191   25.7    0.7    1.3    1.8    3.7    5.5    7.9    6.4    5.1    42.0\n",
+              "2017-08-29 22:30:03.739874          406    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       21       34       25       21       164   27.6    0.7    1.0    1.7    3.7    5.2    8.4    6.2    5.2    40.4\n",
+              "2017-08-29 22:30:04.004892           42  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        4        2        23    9.5    0.0    4.8    2.4    4.8    4.8    4.8    9.5    4.8    54.8\n",
+              "2017-08-29 22:30:04.206479          775          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.7   5.6       7      287       21       12        4       21       38       53       39       50       250   37.0    2.7    1.5    0.5    2.7    4.9    6.8    5.0    6.5    32.3\n",
+              "2017-08-29 22:30:04.419471          682    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       35       51       35       39       200   39.6    2.9    1.5    0.3    2.9    5.1    7.5    5.1    5.7    29.3\n",
+              "2017-08-29 22:30:04.661600           77  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.6   8.1      10       11        0        2        2        0        2        1        2       10        47   14.3    0.0    2.6    2.6    0.0    2.6    1.3    2.6   13.0    61.0\n",
+              "2017-08-29 22:30:04.871148          544            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      246       29       13        3        8       19       25       32       36       133   45.2    5.3    2.4    0.6    1.5    3.5    4.6    5.9    6.6    24.4\n",
+              "2017-08-29 22:30:05.125560          424      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       26       13        3        6       18       17       25       20        87   49.3    6.1    3.1    0.7    1.4    4.2    4.0    5.9    4.7    20.5\n",
+              "2017-08-29 22:30:05.347419          111    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.6   6.6       9       32        3        0        0        2        0        8        6       16        44   28.8    2.7    0.0    0.0    1.8    0.0    7.2    5.4   14.4    39.6\n",
+              "2017-08-29 22:30:05.539467            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 22:30:05.730946           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 22:30:05.950433          925            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       34       20        8        9       30       54       46       60       259   43.8    3.7    2.2    0.9    1.0    3.2    5.8    5.0    6.5    28.0\n",
+              "2017-08-29 22:30:06.150572          565        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       47       52       37       35       204   22.8    1.9    1.8    1.4    5.7    8.3    9.2    6.5    6.2    36.1\n",
+              "2017-08-29 22:30:06.423181         2662          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      154      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.8    5.5    5.5    33.7\n",
+              "2017-08-29 22:40:01.470119         1693               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.4       6      671       51       29       13       42       82      109       91       83       522   39.6    3.0    1.7    0.8    2.5    4.8    6.4    5.4    4.9    30.8\n",
+              "2017-08-29 22:40:01.728528          261             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      7.0   7.3      10       54        3        4        4        4        5       14       14       28       131   20.7    1.1    1.5    1.5    1.5    1.9    5.4    5.4   10.7    50.2\n",
+              "2017-08-29 22:40:02.056320           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 22:40:02.306295           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 22:40:02.576905            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 22:40:02.866842          455          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       25       36       29       23       191   25.7    0.7    1.3    1.8    3.7    5.5    7.9    6.4    5.1    42.0\n",
+              "2017-08-29 22:40:03.139336          406    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       21       34       25       21       164   27.6    0.7    1.0    1.7    3.7    5.2    8.4    6.2    5.2    40.4\n",
+              "2017-08-29 22:40:03.387206           42  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        4        2        23    9.5    0.0    4.8    2.4    4.8    4.8    4.8    9.5    4.8    54.8\n",
+              "2017-08-29 22:40:03.691075          775          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.7   5.6       7      287       21       12        4       21       38       53       39       50       250   37.0    2.7    1.5    0.5    2.7    4.9    6.8    5.0    6.5    32.3\n",
+              "2017-08-29 22:40:03.942804          682    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       35       51       35       39       200   39.6    2.9    1.5    0.3    2.9    5.1    7.5    5.1    5.7    29.3\n",
+              "2017-08-29 22:40:04.143720           77  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.6   8.1      10       11        0        2        2        0        2        1        2       10        47   14.3    0.0    2.6    2.6    0.0    2.6    1.3    2.6   13.0    61.0\n",
+              "2017-08-29 22:40:04.620668          544            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      246       29       13        3        8       19       25       32       36       133   45.2    5.3    2.4    0.6    1.5    3.5    4.6    5.9    6.6    24.4\n",
+              "2017-08-29 22:40:04.907070          424      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       26       13        3        6       18       17       25       20        87   49.3    6.1    3.1    0.7    1.4    4.2    4.0    5.9    4.7    20.5\n",
+              "2017-08-29 22:40:05.098799          111    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.6   6.6       9       32        3        0        0        2        0        8        6       16        44   28.8    2.7    0.0    0.0    1.8    0.0    7.2    5.4   14.4    39.6\n",
+              "2017-08-29 22:40:05.291491            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 22:40:05.477026           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 22:40:05.749618          925            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       34       20        8        9       30       54       46       60       259   43.8    3.7    2.2    0.9    1.0    3.2    5.8    5.0    6.5    28.0\n",
+              "2017-08-29 22:40:05.985688          565        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       47       52       37       35       204   22.8    1.9    1.8    1.4    5.7    8.3    9.2    6.5    6.2    36.1\n",
+              "2017-08-29 22:40:06.233659         2662          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      154      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.8    5.5    5.5    33.7\n",
+              "2017-08-29 22:50:01.658972         1693               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.4       6      671       51       29       13       42       82      109       91       83       522   39.6    3.0    1.7    0.8    2.5    4.8    6.4    5.4    4.9    30.8\n",
+              "2017-08-29 22:50:01.906878          261             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      7.0   7.3      10       54        3        4        4        4        5       14       14       28       131   20.7    1.1    1.5    1.5    1.5    1.9    5.4    5.4   10.7    50.2\n",
+              "2017-08-29 22:50:02.282658           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 22:50:02.925223           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 22:50:03.185512            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 22:50:03.408161          455          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       25       36       29       23       191   25.7    0.7    1.3    1.8    3.7    5.5    7.9    6.4    5.1    42.0\n",
+              "2017-08-29 22:50:03.646371          406    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       21       34       25       21       164   27.6    0.7    1.0    1.7    3.7    5.2    8.4    6.2    5.2    40.4\n",
+              "2017-08-29 22:50:03.871928           42  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        4        2        23    9.5    0.0    4.8    2.4    4.8    4.8    4.8    9.5    4.8    54.8\n",
+              "2017-08-29 22:50:04.065761          775          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.7   5.6       7      287       21       12        4       21       38       53       39       50       250   37.0    2.7    1.5    0.5    2.7    4.9    6.8    5.0    6.5    32.3\n",
+              "2017-08-29 22:50:04.286891          682    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       35       51       35       39       200   39.6    2.9    1.5    0.3    2.9    5.1    7.5    5.1    5.7    29.3\n",
+              "2017-08-29 22:50:04.472598           77  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.6   8.1      10       11        0        2        2        0        2        1        2       10        47   14.3    0.0    2.6    2.6    0.0    2.6    1.3    2.6   13.0    61.0\n",
+              "2017-08-29 22:50:04.897245          544            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      246       29       13        3        8       19       25       32       36       133   45.2    5.3    2.4    0.6    1.5    3.5    4.6    5.9    6.6    24.4\n",
+              "2017-08-29 22:50:05.253525          424      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       26       13        3        6       18       17       25       20        87   49.3    6.1    3.1    0.7    1.4    4.2    4.0    5.9    4.7    20.5\n",
+              "2017-08-29 22:50:05.540566          111    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.6   6.6       9       32        3        0        0        2        0        8        6       16        44   28.8    2.7    0.0    0.0    1.8    0.0    7.2    5.4   14.4    39.6\n",
+              "2017-08-29 22:50:05.730617            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 22:50:05.938335           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 22:50:06.192702          925            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       34       20        8        9       30       54       46       60       259   43.8    3.7    2.2    0.9    1.0    3.2    5.8    5.0    6.5    28.0\n",
+              "2017-08-29 22:50:06.393880          565        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       47       52       37       35       204   22.8    1.9    1.8    1.4    5.7    8.3    9.2    6.5    6.2    36.1\n",
+              "2017-08-29 22:50:06.592571         2662          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      154      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.8    5.5    5.5    33.7\n",
+              "2017-08-29 23:00:01.735379         1693               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.4       6      671       51       29       13       42       82      109       91       83       522   39.6    3.0    1.7    0.8    2.5    4.8    6.4    5.4    4.9    30.8\n",
+              "2017-08-29 23:00:02.018423          261             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      7.0   7.3      10       54        3        4        4        4        5       14       14       28       131   20.7    1.1    1.5    1.5    1.5    1.9    5.4    5.4   10.7    50.2\n",
+              "2017-08-29 23:00:02.334333           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 23:00:02.547912           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 23:00:02.772977            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 23:00:02.987723          455          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       25       36       29       23       191   25.7    0.7    1.3    1.8    3.7    5.5    7.9    6.4    5.1    42.0\n",
+              "2017-08-29 23:00:03.191009          406    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       21       34       25       21       164   27.6    0.7    1.0    1.7    3.7    5.2    8.4    6.2    5.2    40.4\n",
+              "2017-08-29 23:00:03.415819           42  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        4        2        23    9.5    0.0    4.8    2.4    4.8    4.8    4.8    9.5    4.8    54.8\n",
+              "2017-08-29 23:00:03.683160          775          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.7   5.6       7      287       21       12        4       21       38       53       39       50       250   37.0    2.7    1.5    0.5    2.7    4.9    6.8    5.0    6.5    32.3\n",
+              "2017-08-29 23:00:03.924760          682    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       35       51       35       39       200   39.6    2.9    1.5    0.3    2.9    5.1    7.5    5.1    5.7    29.3\n",
+              "2017-08-29 23:00:04.189034           77  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.6   8.1      10       11        0        2        2        0        2        1        2       10        47   14.3    0.0    2.6    2.6    0.0    2.6    1.3    2.6   13.0    61.0\n",
+              "2017-08-29 23:00:04.381826          544            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      246       29       13        3        8       19       25       32       36       133   45.2    5.3    2.4    0.6    1.5    3.5    4.6    5.9    6.6    24.4\n",
+              "2017-08-29 23:00:04.619175          424      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       26       13        3        6       18       17       25       20        87   49.3    6.1    3.1    0.7    1.4    4.2    4.0    5.9    4.7    20.5\n",
+              "2017-08-29 23:00:04.820031          111    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.6   6.6       9       32        3        0        0        2        0        8        6       16        44   28.8    2.7    0.0    0.0    1.8    0.0    7.2    5.4   14.4    39.6\n",
+              "2017-08-29 23:00:05.028872            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 23:00:05.231674           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 23:00:05.442596          925            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       34       20        8        9       30       54       46       60       259   43.8    3.7    2.2    0.9    1.0    3.2    5.8    5.0    6.5    28.0\n",
+              "2017-08-29 23:00:05.634805          565        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       47       52       37       35       204   22.8    1.9    1.8    1.4    5.7    8.3    9.2    6.5    6.2    36.1\n",
+              "2017-08-29 23:00:05.829558         2662          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      154      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.8    5.5    5.5    33.7\n",
+              "2017-08-29 23:10:02.207706         1693               Males   http://www.imdb.com/title/tt6322922/ratings-male      5.3   5.4       6      671       51       29       13       42       82      109       91       83       522   39.6    3.0    1.7    0.8    2.5    4.8    6.4    5.4    4.9    30.8\n",
+              "2017-08-29 23:10:02.398710          261             Females  http://www.imdb.com/title/tt6322922/ratings-fe...      7.0   7.3      10       54        3        4        4        4        5       14       14       28       131   20.7    1.1    1.5    1.5    1.5    1.9    5.4    5.4   10.7    50.2\n",
+              "2017-08-29 23:10:02.622019           15       Aged under 18  http://www.imdb.com/title/tt6322922/ratings-age_1      4.5   5.3       5        7        0        0        0        1        0        1        0        0         6   46.7    0.0    0.0    0.0    6.7    0.0    6.7    0.0    0.0    40.0\n",
+              "2017-08-29 23:10:02.908857           13      Males under 18  http://www.imdb.com/title/tt6322922/ratings-ma...      5.3   5.9       7        5        0        0        0        1        0        1        0        0         6   38.5    0.0    0.0    0.0    7.7    0.0    7.7    0.0    0.0    46.2\n",
+              "2017-08-29 23:10:03.088635            2    Females under 18  http://www.imdb.com/title/tt6322922/ratings-fe...      1.0   1.0       1        2        0        0        0        0        0        0        0        0         0  100.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0    0.0     0.0\n",
+              "2017-08-29 23:10:03.288272          455          Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-age_2      6.4   6.6       8      117        3        6        8       17       25       36       29       23       191   25.7    0.7    1.3    1.8    3.7    5.5    7.9    6.4    5.1    42.0\n",
+              "2017-08-29 23:10:03.501039          406    Males Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-ma...      6.3   6.5       8      112        3        4        7       15       21       34       25       21       164   27.6    0.7    1.0    1.7    3.7    5.2    8.4    6.2    5.2    40.4\n",
+              "2017-08-29 23:10:03.725960           42  Females Aged 18-29  http://www.imdb.com/title/tt6322922/ratings-fe...      7.1   7.9      10        4        0        2        1        2        2        2        4        2        23    9.5    0.0    4.8    2.4    4.8    4.8    4.8    9.5    4.8    54.8\n",
+              "2017-08-29 23:10:03.942442          775          Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-age_3      5.7   5.6       7      287       21       12        4       21       38       53       39       50       250   37.0    2.7    1.5    0.5    2.7    4.9    6.8    5.0    6.5    32.3\n",
+              "2017-08-29 23:10:04.147698          682    Males Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-ma...      5.5   5.3       6      270       20       10        2       20       35       51       35       39       200   39.6    2.9    1.5    0.3    2.9    5.1    7.5    5.1    5.7    29.3\n",
+              "2017-08-29 23:10:04.406759           77  Females Aged 30-44  http://www.imdb.com/title/tt6322922/ratings-fe...      7.6   8.1      10       11        0        2        2        0        2        1        2       10        47   14.3    0.0    2.6    2.6    0.0    2.6    1.3    2.6   13.0    61.0\n",
+              "2017-08-29 23:10:04.603751          544            Aged 45+  http://www.imdb.com/title/tt6322922/ratings-age_4      4.4   4.8       2      246       29       13        3        8       19       25       32       36       133   45.2    5.3    2.4    0.6    1.5    3.5    4.6    5.9    6.6    24.4\n",
+              "2017-08-29 23:10:04.905270          424      Males Aged 45+  http://www.imdb.com/title/tt6322922/ratings-ma...      4.0   4.3       2      209       26       13        3        6       18       17       25       20        87   49.3    6.1    3.1    0.7    1.4    4.2    4.0    5.9    4.7    20.5\n",
+              "2017-08-29 23:10:05.172451          111    Females Aged 45+  http://www.imdb.com/title/tt6322922/ratings-fe...      6.6   6.6       9       32        3        0        0        2        0        8        6       16        44   28.8    2.7    0.0    0.0    1.8    0.0    7.2    5.4   14.4    39.6\n",
+              "2017-08-29 23:10:05.369510            8          IMDb staff  http://www.imdb.com/title/tt6322922/ratings-im...      8.4   7.2       8        1        0        0        0        0        1        1        2        2         1   12.5    0.0    0.0    0.0    0.0   12.5   12.5   25.0   25.0    12.5\n",
+              "2017-08-29 23:10:05.598331           41     Top 1000 voters  http://www.imdb.com/title/tt6322922/ratings-to...      4.6   4.7       5       11        4        2        2        5        4        5        1        1         6   26.8    9.8    4.9    4.9   12.2    9.8   12.2    2.4    2.4    14.6\n",
+              "2017-08-29 23:10:05.794141          925            US users    http://www.imdb.com/title/tt6322922/ratings-usa      4.8   5.0       4      405       34       20        8        9       30       54       46       60       259   43.8    3.7    2.2    0.9    1.0    3.2    5.8    5.0    6.5    28.0\n",
+              "2017-08-29 23:10:06.022268          565        Non-US users  http://www.imdb.com/title/tt6322922/ratings-in...      6.4   6.5       7      129       11       10        8       32       47       52       37       35       204   22.8    1.9    1.8    1.4    5.7    8.3    9.2    6.5    6.2    36.1\n",
+              "2017-08-29 23:10:06.218251         2662          IMDb users        http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      154      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.8    5.5    5.5    33.7\n",
+              "\n",
+              "[2660 rows x 26 columns]"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 27
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Nqez__hgdWR3",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 544
+        },
+        "outputId": "3fc7d3f3-232a-4208-b4a5-1d7cd91670fe"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.info()"
+      ],
+      "execution_count": 28,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "<class 'pandas.core.frame.DataFrame'>\n",
+            "DatetimeIndex: 80053 entries, 2017-07-17 12:28:32.785639 to 2017-08-29 23:10:06.218251\n",
+            "Data columns (total 26 columns):\n",
+            "respondents    80053 non-null int64\n",
+            "category       80053 non-null object\n",
+            "link           80053 non-null object\n",
+            "average        80053 non-null float64\n",
+            "mean           80053 non-null float64\n",
+            "median         80053 non-null int64\n",
+            "1_votes        80053 non-null int64\n",
+            "2_votes        80053 non-null int64\n",
+            "3_votes        80053 non-null int64\n",
+            "4_votes        80053 non-null int64\n",
+            "5_votes        80053 non-null int64\n",
+            "6_votes        80053 non-null int64\n",
+            "7_votes        80053 non-null int64\n",
+            "8_votes        80053 non-null int64\n",
+            "9_votes        80053 non-null int64\n",
+            "10_votes       80053 non-null int64\n",
+            "1_pct          80053 non-null float64\n",
+            "2_pct          80053 non-null float64\n",
+            "3_pct          80053 non-null float64\n",
+            "4_pct          80053 non-null float64\n",
+            "5_pct          80053 non-null float64\n",
+            "6_pct          80053 non-null float64\n",
+            "7_pct          80053 non-null float64\n",
+            "8_pct          80053 non-null float64\n",
+            "9_pct          80053 non-null float64\n",
+            "10_pct         80053 non-null float64\n",
+            "dtypes: float64(12), int64(12), object(2)\n",
+            "memory usage: 16.5+ MB\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "VfCJ7wqddtQk",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 357
+        },
+        "outputId": "7a0d9481-ecc7-4f79-ae3a-497082818b14"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.category.value_counts()"
+      ],
+      "execution_count": 29,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "IMDb users            4216\n",
+              "IMDb staff            4216\n",
+              "US users              4216\n",
+              "Males Aged 18-29      4216\n",
+              "Females Aged 45+      4216\n",
+              "Males Aged 30-44      4216\n",
+              "Females Aged 18-29    4216\n",
+              "Females Aged 30-44    4216\n",
+              "Females               4216\n",
+              "Aged 18-29            4216\n",
+              "Males under 18        4216\n",
+              "Males Aged 45+        4216\n",
+              "Aged 30-44            4216\n",
+              "Non-US users          4216\n",
+              "Top 1000 voters       4216\n",
+              "Aged 45+              4216\n",
+              "Males                 4216\n",
+              "Aged under 18         4216\n",
+              "Females under 18      4165\n",
+              "Name: category, dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 29
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "7jTGIFLGdyQg",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 357
+        },
+        "outputId": "2dfd857b-8c7c-4b07-986e-39fda17fea07"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.link.value_counts()"
+      ],
+      "execution_count": 30,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "http://www.imdb.com/title/tt6322922/ratings-imdb_staff       4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-age_3            4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-age_1            4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-male_age_3       4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-international    4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-age_4            4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-male_age_2       4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-female_age_4     4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-male             4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings                  4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-female_age_3     4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-top_1000         4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-male_age_1       4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-female_age_2     4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-female           4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-male_age_4       4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-age_2            4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-usa              4216\n",
+              "http://www.imdb.com/title/tt6322922/ratings-female_age_1     4165\n",
+              "Name: link, dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 30
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "tJ0NhsM5d77X",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 340
+        },
+        "outputId": "4cbc62f8-30c7-4197-a862-e3262a297490"
+      },
+      "cell_type": "code",
+      "source": [
+        "df[df.category=='IMDb users'].head()"
+      ],
+      "execution_count": 31,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>respondents</th>\n",
+              "      <th>category</th>\n",
+              "      <th>link</th>\n",
+              "      <th>average</th>\n",
+              "      <th>mean</th>\n",
+              "      <th>median</th>\n",
+              "      <th>1_votes</th>\n",
+              "      <th>2_votes</th>\n",
+              "      <th>3_votes</th>\n",
+              "      <th>4_votes</th>\n",
+              "      <th>5_votes</th>\n",
+              "      <th>6_votes</th>\n",
+              "      <th>7_votes</th>\n",
+              "      <th>8_votes</th>\n",
+              "      <th>9_votes</th>\n",
+              "      <th>10_votes</th>\n",
+              "      <th>1_pct</th>\n",
+              "      <th>2_pct</th>\n",
+              "      <th>3_pct</th>\n",
+              "      <th>4_pct</th>\n",
+              "      <th>5_pct</th>\n",
+              "      <th>6_pct</th>\n",
+              "      <th>7_pct</th>\n",
+              "      <th>8_pct</th>\n",
+              "      <th>9_pct</th>\n",
+              "      <th>10_pct</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>timestamp</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 12:28:36.697246</th>\n",
+              "      <td>678</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>304</td>\n",
+              "      <td>14</td>\n",
+              "      <td>8</td>\n",
+              "      <td>5</td>\n",
+              "      <td>9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>18</td>\n",
+              "      <td>24</td>\n",
+              "      <td>30</td>\n",
+              "      <td>256</td>\n",
+              "      <td>44.8</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>37.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 12:34:21.250099</th>\n",
+              "      <td>678</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>304</td>\n",
+              "      <td>14</td>\n",
+              "      <td>8</td>\n",
+              "      <td>5</td>\n",
+              "      <td>9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>18</td>\n",
+              "      <td>24</td>\n",
+              "      <td>30</td>\n",
+              "      <td>256</td>\n",
+              "      <td>44.8</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>37.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 13:00:06.506688</th>\n",
+              "      <td>678</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5</td>\n",
+              "      <td>304</td>\n",
+              "      <td>14</td>\n",
+              "      <td>8</td>\n",
+              "      <td>5</td>\n",
+              "      <td>9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>18</td>\n",
+              "      <td>24</td>\n",
+              "      <td>30</td>\n",
+              "      <td>256</td>\n",
+              "      <td>44.8</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>37.8</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 14:00:06.727742</th>\n",
+              "      <td>679</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>305</td>\n",
+              "      <td>14</td>\n",
+              "      <td>8</td>\n",
+              "      <td>5</td>\n",
+              "      <td>9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>18</td>\n",
+              "      <td>24</td>\n",
+              "      <td>30</td>\n",
+              "      <td>256</td>\n",
+              "      <td>44.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>37.7</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 15:00:06.055125</th>\n",
+              "      <td>679</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>5.3</td>\n",
+              "      <td>5</td>\n",
+              "      <td>305</td>\n",
+              "      <td>14</td>\n",
+              "      <td>8</td>\n",
+              "      <td>5</td>\n",
+              "      <td>9</td>\n",
+              "      <td>10</td>\n",
+              "      <td>18</td>\n",
+              "      <td>24</td>\n",
+              "      <td>30</td>\n",
+              "      <td>256</td>\n",
+              "      <td>44.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>1.2</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.3</td>\n",
+              "      <td>1.5</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>3.5</td>\n",
+              "      <td>4.4</td>\n",
+              "      <td>37.7</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                            respondents    category                                         link  average  mean  median  1_votes  2_votes  3_votes  4_votes  5_votes  6_votes  7_votes  8_votes  9_votes  10_votes  1_pct  2_pct  3_pct  4_pct  5_pct  6_pct  7_pct  8_pct  9_pct  10_pct\n",
+              "timestamp                                                                                                                                                                                                                                                                                \n",
+              "2017-07-17 12:28:36.697246          678  IMDb users  http://www.imdb.com/title/tt6322922/ratings      4.9   5.4       5      304       14        8        5        9       10       18       24       30       256   44.8    2.1    1.2    0.7    1.3    1.5    2.7    3.5    4.4    37.8\n",
+              "2017-07-17 12:34:21.250099          678  IMDb users  http://www.imdb.com/title/tt6322922/ratings      4.9   5.4       5      304       14        8        5        9       10       18       24       30       256   44.8    2.1    1.2    0.7    1.3    1.5    2.7    3.5    4.4    37.8\n",
+              "2017-07-17 13:00:06.506688          678  IMDb users  http://www.imdb.com/title/tt6322922/ratings      4.9   5.4       5      304       14        8        5        9       10       18       24       30       256   44.8    2.1    1.2    0.7    1.3    1.5    2.7    3.5    4.4    37.8\n",
+              "2017-07-17 14:00:06.727742          679  IMDb users  http://www.imdb.com/title/tt6322922/ratings      4.9   5.3       5      305       14        8        5        9       10       18       24       30       256   44.9    2.1    1.2    0.7    1.3    1.5    2.7    3.5    4.4    37.7\n",
+              "2017-07-17 15:00:06.055125          679  IMDb users  http://www.imdb.com/title/tt6322922/ratings      4.9   5.3       5      305       14        8        5        9       10       18       24       30       256   44.9    2.1    1.2    0.7    1.3    1.5    2.7    3.5    4.4    37.7"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 31
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ruz4earneb4F",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "lastday = df['2017-08-29']"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "8m9eKjA4fQIk",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 281
+        },
+        "outputId": "73a3f98d-e154-4104-ecdb-5f82bf4ae5f0"
+      },
+      "cell_type": "code",
+      "source": [
+        "# To check if the number of respondents is cumulative or not\n",
+        "\n",
+        "lastday[lastday.category=='IMDb users'].respondents.plot();"
+      ],
+      "execution_count": 33,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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/l7KOkWhvjBajkJAQBgwYAIBaraayspL09HSio6MBGq11VFNTQ3JyMrNnz2b3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\nRU5ErkJggg==\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf2d66cc0>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "9ab3kfr5fWi-",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "# Respondents is monotoncally increasing therefore cumulative so need to add by timestamp\n",
+        "# So we can just look at the last value to get the number of respondents and other values"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "FdwhYjGKfuhm",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 148
+        },
+        "outputId": "de217b73-fa05-462c-bffb-0db67a7f7188"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.tail(1)"
+      ],
+      "execution_count": 35,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>respondents</th>\n",
+              "      <th>category</th>\n",
+              "      <th>link</th>\n",
+              "      <th>average</th>\n",
+              "      <th>mean</th>\n",
+              "      <th>median</th>\n",
+              "      <th>1_votes</th>\n",
+              "      <th>2_votes</th>\n",
+              "      <th>3_votes</th>\n",
+              "      <th>4_votes</th>\n",
+              "      <th>5_votes</th>\n",
+              "      <th>6_votes</th>\n",
+              "      <th>7_votes</th>\n",
+              "      <th>8_votes</th>\n",
+              "      <th>9_votes</th>\n",
+              "      <th>10_votes</th>\n",
+              "      <th>1_pct</th>\n",
+              "      <th>2_pct</th>\n",
+              "      <th>3_pct</th>\n",
+              "      <th>4_pct</th>\n",
+              "      <th>5_pct</th>\n",
+              "      <th>6_pct</th>\n",
+              "      <th>7_pct</th>\n",
+              "      <th>8_pct</th>\n",
+              "      <th>9_pct</th>\n",
+              "      <th>10_pct</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>timestamp</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>2017-08-29 23:10:06.218251</th>\n",
+              "      <td>2662</td>\n",
+              "      <td>IMDb users</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings</td>\n",
+              "      <td>5.4</td>\n",
+              "      <td>5.6</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1021</td>\n",
+              "      <td>69</td>\n",
+              "      <td>38</td>\n",
+              "      <td>25</td>\n",
+              "      <td>55</td>\n",
+              "      <td>110</td>\n",
+              "      <td>154</td>\n",
+              "      <td>147</td>\n",
+              "      <td>146</td>\n",
+              "      <td>897</td>\n",
+              "      <td>38.4</td>\n",
+              "      <td>2.6</td>\n",
+              "      <td>1.4</td>\n",
+              "      <td>0.9</td>\n",
+              "      <td>2.1</td>\n",
+              "      <td>4.1</td>\n",
+              "      <td>5.8</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>5.5</td>\n",
+              "      <td>33.7</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                            respondents    category                                         link  average  mean  median  1_votes  2_votes  3_votes  4_votes  5_votes  6_votes  7_votes  8_votes  9_votes  10_votes  1_pct  2_pct  3_pct  4_pct  5_pct  6_pct  7_pct  8_pct  9_pct  10_pct\n",
+              "timestamp                                                                                                                                                                                                                                                                                \n",
+              "2017-08-29 23:10:06.218251         2662  IMDb users  http://www.imdb.com/title/tt6322922/ratings      5.4   5.6       7     1021       69       38       25       55      110      154      147      146       897   38.4    2.6    1.4    0.9    2.1    4.1    5.8    5.5    5.5    33.7"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 35
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ckbjIkspfxwr",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "final = df.tail(1)"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "6_JVcQ8GgJqb",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "columns = ['1_pct', '2_pct', '3_pct', '4_pct', '5_pct',\n",
+        "          '6_pct', '7_pct', '8_pct', '9_pct', '10_pct']\n",
+        "\n",
+        "data = final[columns].T"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "1l0MizzBgkg4",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 321
+        },
+        "outputId": "5c5d24a3-4323-47da-c064-ca17aa2eded1"
+      },
+      "cell_type": "code",
+      "source": [
+        "data.plot.bar()"
+      ],
+      "execution_count": 38,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1cf2cba320>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 38
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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4eDjjxo0jMzPTvqX5r+vw1VdfLfKB9Msvv7R/IH3QOiwLM/4PgjlzmeZaZIcOHWLt2rUA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\nAAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf2d57400>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "V3xyrPO2hXdn",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "data.index = range(1, 11)"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "Lmo2bknBgmGF",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 368
+        },
+        "outputId": "9c09e0b0-360b-459a-e593-c979ec236e8d"
+      },
+      "cell_type": "code",
+      "source": [
+        "\n",
+        "# Trying to add subtitles\n",
+        "\n",
+        "# fake = pd.Series([38, 3, 2, 1, 2, 4, 6, 5, 5, 33],\n",
+        "                # index=range(1,11))\n",
+        "\n",
+        "plt.style.use('fivethirtyeight')\n",
+        "\n",
+        "# Use the data DataFrame for plot\n",
+        "ax = data.plot.bar(color='#EC713B', width=0.9, legend=False) # Remove legend\n",
+        "\n",
+        "# Changing y-axis scale\n",
+        "ax.set(xlabel='Rating',\n",
+        "       ylabel='Percent of total votes',\n",
+        "      yticks=range(0, 50, 10))\n",
+        "\n",
+        "ax.text(x=-2, y=50, s=\"'An Inconvenient Sequel: Truth to Power' is divisive\",\n",
+        "       fontsize=16, fontweight='bold')\n",
+        "ax.text(x=-2, y=46, s=\"IMDB ratings for the film as of Aug. 29\")\n",
+        "\n",
+        "ax.tick_params(labelrotation=0)\n",
+        "\n",
+        "\n"
+      ],
+      "execution_count": 40,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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rr79SqlQp0+Mz73wyREZGmrbL0dHR7Bfog05qyHg9zpw5Y9qpZI73KBUtWjTLX/B5ldVn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\nCwAAAABJRU5ErkJggg==\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf2116588>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "OuPJk7vsT5ps",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "## Custom Plot"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "s_J5ptvTg_r3",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 340
+        },
+        "outputId": "536a88b1-52ab-4668-a618-4f3f4b14d6fb"
+      },
+      "cell_type": "code",
+      "source": [
+        "males = df[df['category'].isin(['Males'])]\n",
+        "males.head()"
+      ],
+      "execution_count": 58,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>respondents</th>\n",
+              "      <th>category</th>\n",
+              "      <th>link</th>\n",
+              "      <th>average</th>\n",
+              "      <th>mean</th>\n",
+              "      <th>median</th>\n",
+              "      <th>1_votes</th>\n",
+              "      <th>2_votes</th>\n",
+              "      <th>3_votes</th>\n",
+              "      <th>4_votes</th>\n",
+              "      <th>5_votes</th>\n",
+              "      <th>6_votes</th>\n",
+              "      <th>7_votes</th>\n",
+              "      <th>8_votes</th>\n",
+              "      <th>9_votes</th>\n",
+              "      <th>10_votes</th>\n",
+              "      <th>1_pct</th>\n",
+              "      <th>2_pct</th>\n",
+              "      <th>3_pct</th>\n",
+              "      <th>4_pct</th>\n",
+              "      <th>5_pct</th>\n",
+              "      <th>6_pct</th>\n",
+              "      <th>7_pct</th>\n",
+              "      <th>8_pct</th>\n",
+              "      <th>9_pct</th>\n",
+              "      <th>10_pct</th>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>timestamp</th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "      <th></th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 12:28:32.785639</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>197</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>3</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>11</td>\n",
+              "      <td>8</td>\n",
+              "      <td>20</td>\n",
+              "      <td>135</td>\n",
+              "      <td>49.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>33.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 12:34:17.770310</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>197</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>3</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>11</td>\n",
+              "      <td>8</td>\n",
+              "      <td>20</td>\n",
+              "      <td>135</td>\n",
+              "      <td>49.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>33.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 13:00:02.497484</th>\n",
+              "      <td>402</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>197</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>3</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>11</td>\n",
+              "      <td>8</td>\n",
+              "      <td>20</td>\n",
+              "      <td>135</td>\n",
+              "      <td>49.0</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>33.6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 14:00:02.990387</th>\n",
+              "      <td>403</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2</td>\n",
+              "      <td>198</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>3</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>11</td>\n",
+              "      <td>8</td>\n",
+              "      <td>20</td>\n",
+              "      <td>135</td>\n",
+              "      <td>49.1</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>33.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2017-07-17 15:00:02.218990</th>\n",
+              "      <td>403</td>\n",
+              "      <td>Males</td>\n",
+              "      <td>http://www.imdb.com/title/tt6322922/ratings-male</td>\n",
+              "      <td>4.6</td>\n",
+              "      <td>4.9</td>\n",
+              "      <td>2</td>\n",
+              "      <td>198</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>3</td>\n",
+              "      <td>7</td>\n",
+              "      <td>7</td>\n",
+              "      <td>11</td>\n",
+              "      <td>8</td>\n",
+              "      <td>20</td>\n",
+              "      <td>135</td>\n",
+              "      <td>49.1</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>0.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>1.7</td>\n",
+              "      <td>2.7</td>\n",
+              "      <td>2.0</td>\n",
+              "      <td>5.0</td>\n",
+              "      <td>33.5</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                            respondents category                                              link  average  mean  median  1_votes  2_votes  3_votes  4_votes  5_votes  6_votes  7_votes  8_votes  9_votes  10_votes  1_pct  2_pct  3_pct  4_pct  5_pct  6_pct  7_pct  8_pct  9_pct  10_pct\n",
+              "timestamp                                                                                                                                                                                                                                                                                  \n",
+              "2017-07-17 12:28:32.785639          402    Males  http://www.imdb.com/title/tt6322922/ratings-male      4.6   5.0       2      197        7        7        3        7        7       11        8       20       135   49.0    1.7    1.7    0.7    1.7    1.7    2.7    2.0    5.0    33.6\n",
+              "2017-07-17 12:34:17.770310          402    Males  http://www.imdb.com/title/tt6322922/ratings-male      4.6   5.0       2      197        7        7        3        7        7       11        8       20       135   49.0    1.7    1.7    0.7    1.7    1.7    2.7    2.0    5.0    33.6\n",
+              "2017-07-17 13:00:02.497484          402    Males  http://www.imdb.com/title/tt6322922/ratings-male      4.6   5.0       2      197        7        7        3        7        7       11        8       20       135   49.0    1.7    1.7    0.7    1.7    1.7    2.7    2.0    5.0    33.6\n",
+              "2017-07-17 14:00:02.990387          403    Males  http://www.imdb.com/title/tt6322922/ratings-male      4.6   4.9       2      198        7        7        3        7        7       11        8       20       135   49.1    1.7    1.7    0.7    1.7    1.7    2.7    2.0    5.0    33.5\n",
+              "2017-07-17 15:00:02.218990          403    Males  http://www.imdb.com/title/tt6322922/ratings-male      4.6   4.9       2      198        7        7        3        7        7       11        8       20       135   49.1    1.7    1.7    0.7    1.7    1.7    2.7    2.0    5.0    33.5"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 58
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "3CMeAk_eMWzh",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 119
+        },
+        "outputId": "911ad66a-bf49-47b1-e966-b1e6f9ff5ab8"
+      },
+      "cell_type": "code",
+      "source": [
+        "males['respondents_pct'] = (males['respondents']/males['respondents'][-1]) * 100"
+      ],
+      "execution_count": 59,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+            "Try using .loc[row_indexer,col_indexer] = value instead\n",
+            "\n",
+            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+            "  \"\"\"Entry point for launching an IPython kernel.\n"
+          ],
+          "name": "stderr"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "7RWuRW4hTxzA",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 136
+        },
+        "outputId": "5f53da53-e167-41fd-e3ef-8cac60864bd0"
+      },
+      "cell_type": "code",
+      "source": [
+        "males['respondents_pct'].head()"
+      ],
+      "execution_count": 60,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "timestamp\n",
+              "2017-07-17 12:28:32.785639    23.744832\n",
+              "2017-07-17 12:34:17.770310    23.744832\n",
+              "2017-07-17 13:00:02.497484    23.744832\n",
+              "2017-07-17 14:00:02.990387    23.803898\n",
+              "2017-07-17 15:00:02.218990    23.803898\n",
+              "Name: respondents_pct, dtype: float64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 60
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "oyYroXb1T3QQ",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 500
+        },
+        "outputId": "1fcfd8b5-04d5-4aea-fd68-ae0d4faf87f6"
+      },
+      "cell_type": "code",
+      "source": [
+        "males['respondents_pct'].plot(figsize=(12, 8))"
+      ],
+      "execution_count": 65,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1cf0870b00>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 65
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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0ECgAAGEjVABAL1PtCeqW9TV65vPG9htLeu28HOXU7uvmqgAAvRmhAgB6CcMw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\nYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf212e438>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "OTEEft8AULMV",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 483
+        },
+        "outputId": "1f34680e-e169-45e3-cee7-5089b810789f"
+      },
+      "cell_type": "code",
+      "source": [
+        "plot = males['respondents_pct'].plot(figsize=(12, 8))\n",
+        "fig = plot.get_figure()\n"
+      ],
+      "execution_count": 66,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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0ECgAAGEjVABAL1PtCeqW9TV65vPG9htLeu28HOXU7uvmqgAAvRmhAgB6CcMw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\nYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf2bf0c18>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "y8zqOXfQUPHs",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "plot.xaxis.label.set_visible(False)"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "giE2dpzhUmyx",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 464
+        },
+        "outputId": "a1622fd2-fa59-4e5f-8c72-8482f4a510e2"
+      },
+      "cell_type": "code",
+      "source": [
+        "fig"
+      ],
+      "execution_count": 68,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "image/png": 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0ECgAAGEjVABAL1PtCeqW9TV65vPG9htLeu28HOXU7uvmqgAAvRmhAgB6CcMw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\nhBBCCCGEeCYyVAghhBBCCCGeyX8BUZ1hvjgYvb8AAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf2bf0c18>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 68
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "upz7ozvFUz7U",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 464
+        },
+        "outputId": "6f6b4928-40be-4a13-e4e9-9f85a8860006"
+      },
+      "cell_type": "code",
+      "source": [
+        "plot.set_xlim(left='2017-07-16', right='2017-08-30')\n",
+        "fig"
+      ],
+      "execution_count": 69,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "image/png": 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zBshi4fEnADA7RioAAF363foG/ffahg7PnzrkyyVjs51WfXOMW2cNcxEoACBJ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\ngg==\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf2bf0c18>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 69
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "3PozSgXxn5Xf",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "## Final Custom 538 Plot\n"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "N953zQfentmN",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 464
+        },
+        "outputId": "9d41e684-6ccc-4cb8-bfa4-8504832d7cdd"
+      },
+      "cell_type": "code",
+      "source": [
+        "plot.text(x='2017-07-16', y= 100, s=\"'An Inconvenient Sequel' was doomed before its release\",\n",
+        "          fontsize=18, fontweight='bold')\n",
+        "plot.text(x='2017-07-16', y= 95, s=\"Share of IMDB reviews posted through Aug. 27, by day\",\n",
+        "         fontsize=15)\n",
+        "\n",
+        "fig"
+      ],
+      "execution_count": 70,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "image/png": 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33lCu7++//z7bBx4pKSmsWrUKFxeXkg5ZCCFEJhHJKnz84nmUosUnOJnrManE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\ngg==\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7f1cf2bf0c18>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 70
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "o4iKdcACn0Y8",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        ""
+      ],
+      "execution_count": 0,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file
diff --git a/LS_DS_124_Sequence_your_narrative.ipynb b/LS_DS_124_Sequence_your_narrative.ipynb
new file mode 100644
index 0000000..7cf7562
--- /dev/null
+++ b/LS_DS_124_Sequence_your_narrative.ipynb
@@ -0,0 +1,6089 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "LS_DS_124_Sequence_your_narrative.ipynb",
+      "version": "0.3.2",
+      "provenance": [],
+      "collapsed_sections": [],
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/Captmoonshot/DS-Sprint-02-Storytelling-With-Data/blob/master/LS_DS_124_Sequence_your_narrative.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ztpxhHMW07DC",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "_Lambda School Data Science_\n",
+        "\n",
+        "# Sequence your narrative\n",
+        "\n",
+        "Create a sequence of visualizations inspired by [Hans Rosling's 200 Countries, 200 Years, 4 Minutes](https://www.youtube.com/watch?v=jbkSRLYSojo).\n",
+        "\n",
+        "Using this [data from Gapminder](https://github.com/open-numbers/ddf--gapminder--systema_globalis/):\n",
+        "- https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--datapoints--income_per_person_gdppercapita_ppp_inflation_adjusted--by--geo--time.csv\n",
+        "- https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--datapoints--life_expectancy_years--by--geo--time.csv\n",
+        "- https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--entities--geo--country.csv\n",
+        "- https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--concepts.csv\n",
+        "\n",
+        "### Stretch goals\n",
+        "- [ipywidgets](https://github.com/jupyter-widgets/ipywidgets)\n",
+        "- [Matplotlib animation](https://matplotlib.org/examples/animation/index.html)\n",
+        "- [Connected scatter plots](http://www.thefunctionalart.com/2012/09/in-praise-of-connected-scatter-plots.html)\n",
+        "- [Idyll markup language](https://idyll-lang.org/) for \"scrollytelling\""
+      ]
+    },
+    {
+      "metadata": {
+        "id": "79iyZ1LIXEDQ",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "Variables --> Visual Encodings\n",
+        "- Income --> X\n",
+        "- Lifespan --> y\n",
+        "- Population -->Size\n",
+        "- Region --> Color\n",
+        "- Year --> time / animation frame (alternative: small multiples)\n",
+        "- Country --> annotation\n",
+        "\n",
+        "Qualitative --> Verbal\n",
+        "- Editorial / Contextual explanation --> audio narration (alternative: text)\n",
+        "\n",
+        "columns   = [ Year, Country, Region, Income, Lifespan, Population]"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "KNujfwv307DI",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 207
+        },
+        "outputId": "61b13a11-4683-40bc-d2d4-ca2ccb7298bb"
+      },
+      "cell_type": "code",
+      "source": [
+        "!pip install --upgrade seaborn"
+      ],
+      "execution_count": 42,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "Requirement already up-to-date: seaborn in /usr/local/lib/python3.6/dist-packages (0.9.0)\n",
+            "Requirement already satisfied, skipping upgrade: numpy>=1.9.3 in /usr/local/lib/python3.6/dist-packages (from seaborn) (1.14.6)\n",
+            "Requirement already satisfied, skipping upgrade: pandas>=0.15.2 in /usr/local/lib/python3.6/dist-packages (from seaborn) (0.22.0)\n",
+            "Requirement already satisfied, skipping upgrade: matplotlib>=1.4.3 in /usr/local/lib/python3.6/dist-packages (from seaborn) (2.1.2)\n",
+            "Requirement already satisfied, skipping upgrade: scipy>=0.14.0 in /usr/local/lib/python3.6/dist-packages (from seaborn) (1.1.0)\n",
+            "Requirement already satisfied, skipping upgrade: pytz>=2011k in /usr/local/lib/python3.6/dist-packages (from pandas>=0.15.2->seaborn) (2018.7)\n",
+            "Requirement already satisfied, skipping upgrade: python-dateutil>=2 in /usr/local/lib/python3.6/dist-packages (from pandas>=0.15.2->seaborn) (2.5.3)\n",
+            "Requirement already satisfied, skipping upgrade: six>=1.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn) (1.11.0)\n",
+            "Requirement already satisfied, skipping upgrade: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn) (0.10.0)\n",
+            "Requirement already satisfied, skipping upgrade: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib>=1.4.3->seaborn) (2.3.0)\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "X0TXmLOnW3-k",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "3a3188cc-d058-4b4b-934d-9ce2e29f2b08"
+      },
+      "cell_type": "code",
+      "source": [
+        "# Restart runtime\n",
+        "\n",
+        "import seaborn as sns\n",
+        "sns.__version__"
+      ],
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "'0.9.0'"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 2
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "b9imb0FUYjpD",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt\n",
+        "%matplotlib inline"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "8pnICGbPYsUU",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "income = pd.read_csv('https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--datapoints--income_per_person_gdppercapita_ppp_inflation_adjusted--by--geo--time.csv')\n",
+        "\n"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "4krxffITY9a4",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "life_span = pd.read_csv('https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--datapoints--life_expectancy_years--by--geo--time.csv')"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "bGwXH1HLZHKf",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "population = pd.read_csv('https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--datapoints--population_total--by--geo--time.csv')"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "3N_NQyglZ7dN",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "entities = pd.read_csv('https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--entities--geo--country.csv')"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "CsBDNu-baEEj",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "concepts = pd.read_csv('https://raw.githubusercontent.com/open-numbers/ddf--gapminder--systema_globalis/master/ddf--concepts.csv')"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "SqZvPNkcaOB0",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "b718c8bd-de93-4ff1-8191-2647ad5ac213"
+      },
+      "cell_type": "code",
+      "source": [
+        "income.shape, life_span.shape, population.shape, entities.shape, concepts.shape"
+      ],
+      "execution_count": 9,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "((44268, 3), (44370, 3), (51939, 3), (273, 33), (590, 16))"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 9
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "hiX8y74kaIvE",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "3edc4c64-bdfe-40b4-f8c4-8f66f0b4aeed"
+      },
+      "cell_type": "code",
+      "source": [
+        "income.head()"
+      ],
+      "execution_count": 10,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>geo</th>\n",
+              "      <th>time</th>\n",
+              "      <th>income_per_person_gdppercapita_ppp_inflation_adjusted</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1800</td>\n",
+              "      <td>833</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1801</td>\n",
+              "      <td>833</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1802</td>\n",
+              "      <td>833</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1803</td>\n",
+              "      <td>833</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1804</td>\n",
+              "      <td>833</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   geo  time  income_per_person_gdppercapita_ppp_inflation_adjusted\n",
+              "0  abw  1800                                                833    \n",
+              "1  abw  1801                                                833    \n",
+              "2  abw  1802                                                833    \n",
+              "3  abw  1803                                                833    \n",
+              "4  abw  1804                                                833    "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 10
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "8rtH_MLbaMF8",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "601ac31b-1be0-4c5d-e206-4e0f72d70ce1"
+      },
+      "cell_type": "code",
+      "source": [
+        "life_span.head()"
+      ],
+      "execution_count": 11,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>geo</th>\n",
+              "      <th>time</th>\n",
+              "      <th>life_expectancy_years</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1800</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1801</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1802</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1803</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1804</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   geo  time  life_expectancy_years\n",
+              "0  abw  1800                  34.42\n",
+              "1  abw  1801                  34.42\n",
+              "2  abw  1802                  34.42\n",
+              "3  abw  1803                  34.42\n",
+              "4  abw  1804                  34.42"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 11
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "cPRzrUiEabGU",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "e4b8a3b0-536d-4805-fb07-6e27e5944452"
+      },
+      "cell_type": "code",
+      "source": [
+        "population.head()"
+      ],
+      "execution_count": 12,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>geo</th>\n",
+              "      <th>time</th>\n",
+              "      <th>population_total</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1800</td>\n",
+              "      <td>19286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1801</td>\n",
+              "      <td>19286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1802</td>\n",
+              "      <td>19286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1803</td>\n",
+              "      <td>19286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1804</td>\n",
+              "      <td>19286</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   geo  time  population_total\n",
+              "0  abw  1800             19286\n",
+              "1  abw  1801             19286\n",
+              "2  abw  1802             19286\n",
+              "3  abw  1803             19286\n",
+              "4  abw  1804             19286"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 12
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "fnSYHcCbad0n",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 270
+        },
+        "outputId": "40792b50-3dab-4eca-bbf4-306cb35d3273"
+      },
+      "cell_type": "code",
+      "source": [
+        "entities.head()"
+      ],
+      "execution_count": 13,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>country</th>\n",
+              "      <th>alt_5</th>\n",
+              "      <th>alternative_1</th>\n",
+              "      <th>alternative_2</th>\n",
+              "      <th>alternative_3</th>\n",
+              "      <th>alternative_4_cdiac</th>\n",
+              "      <th>arb1</th>\n",
+              "      <th>arb2</th>\n",
+              "      <th>arb3</th>\n",
+              "      <th>arb4</th>\n",
+              "      <th>...</th>\n",
+              "      <th>latitude</th>\n",
+              "      <th>longitude</th>\n",
+              "      <th>main_religion_2008</th>\n",
+              "      <th>name</th>\n",
+              "      <th>pandg</th>\n",
+              "      <th>un_state</th>\n",
+              "      <th>unicode_region_subtag</th>\n",
+              "      <th>upper_case_name</th>\n",
+              "      <th>world_4region</th>\n",
+              "      <th>world_6region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>abkh</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>...</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Abkhazia</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>False</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>europe</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>...</td>\n",
+              "      <td>12.50000</td>\n",
+              "      <td>-69.96667</td>\n",
+              "      <td>christian</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>False</td>\n",
+              "      <td>AW</td>\n",
+              "      <td>ARUBA</td>\n",
+              "      <td>americas</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>afg</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Islamic Republic of Afghanistan</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Afghanistan</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>...</td>\n",
+              "      <td>33.00000</td>\n",
+              "      <td>66.00000</td>\n",
+              "      <td>muslim</td>\n",
+              "      <td>Afghanistan</td>\n",
+              "      <td>AFGHANISTAN</td>\n",
+              "      <td>True</td>\n",
+              "      <td>AF</td>\n",
+              "      <td>AFGHANISTAN</td>\n",
+              "      <td>asia</td>\n",
+              "      <td>south_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>ago</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Angola</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>...</td>\n",
+              "      <td>-12.50000</td>\n",
+              "      <td>18.50000</td>\n",
+              "      <td>christian</td>\n",
+              "      <td>Angola</td>\n",
+              "      <td>ANGOLA</td>\n",
+              "      <td>True</td>\n",
+              "      <td>AO</td>\n",
+              "      <td>ANGOLA</td>\n",
+              "      <td>africa</td>\n",
+              "      <td>sub_saharan_africa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>aia</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>...</td>\n",
+              "      <td>18.21667</td>\n",
+              "      <td>-63.05000</td>\n",
+              "      <td>christian</td>\n",
+              "      <td>Anguilla</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>False</td>\n",
+              "      <td>AI</td>\n",
+              "      <td>ANGUILLA</td>\n",
+              "      <td>americas</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>5 rows × 33 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "  country alt_5                    alternative_1 alternative_2 alternative_3  \\\n",
+              "0    abkh   NaN                              NaN           NaN           NaN   \n",
+              "1     abw   NaN                              NaN           NaN           NaN   \n",
+              "2     afg   NaN  Islamic Republic of Afghanistan           NaN           NaN   \n",
+              "3     ago   NaN                              NaN           NaN           NaN   \n",
+              "4     aia   NaN                              NaN           NaN           NaN   \n",
+              "\n",
+              "  alternative_4_cdiac arb1 arb2 arb3 arb4         ...           latitude  \\\n",
+              "0                 NaN  NaN  NaN  NaN  NaN         ...                NaN   \n",
+              "1               Aruba  NaN  NaN  NaN  NaN         ...           12.50000   \n",
+              "2         Afghanistan  NaN  NaN  NaN  NaN         ...           33.00000   \n",
+              "3              Angola  NaN  NaN  NaN  NaN         ...          -12.50000   \n",
+              "4                 NaN  NaN  NaN  NaN  NaN         ...           18.21667   \n",
+              "\n",
+              "  longitude main_religion_2008         name        pandg un_state  \\\n",
+              "0       NaN                NaN     Abkhazia          NaN    False   \n",
+              "1 -69.96667          christian        Aruba          NaN    False   \n",
+              "2  66.00000             muslim  Afghanistan  AFGHANISTAN     True   \n",
+              "3  18.50000          christian       Angola       ANGOLA     True   \n",
+              "4 -63.05000          christian     Anguilla          NaN    False   \n",
+              "\n",
+              "  unicode_region_subtag  upper_case_name world_4region        world_6region  \n",
+              "0                   NaN              NaN        europe  europe_central_asia  \n",
+              "1                    AW            ARUBA      americas              america  \n",
+              "2                    AF      AFGHANISTAN          asia           south_asia  \n",
+              "3                    AO           ANGOLA        africa   sub_saharan_africa  \n",
+              "4                    AI         ANGUILLA      americas              america  \n",
+              "\n",
+              "[5 rows x 33 columns]"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 13
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ZX3RsE_MaikS",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 513
+        },
+        "outputId": "3f6c9246-28fa-4e22-84df-6771d8c91c87"
+      },
+      "cell_type": "code",
+      "source": [
+        "# Data Dictionary\n",
+        "\n",
+        "concepts.head()"
+      ],
+      "execution_count": 14,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>concept</th>\n",
+              "      <th>color</th>\n",
+              "      <th>concept_type</th>\n",
+              "      <th>description</th>\n",
+              "      <th>description_long</th>\n",
+              "      <th>domain</th>\n",
+              "      <th>drill_up</th>\n",
+              "      <th>indicator_url</th>\n",
+              "      <th>name</th>\n",
+              "      <th>name_catalog</th>\n",
+              "      <th>name_short</th>\n",
+              "      <th>scales</th>\n",
+              "      <th>source</th>\n",
+              "      <th>source_long</th>\n",
+              "      <th>source_url</th>\n",
+              "      <th>tags</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>adults_with_hiv_percent_age_15_49</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>measure</td>\n",
+              "      <td>The estimated percentage of adults aged 15 to ...</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Adults with HIV (%, age 15-49)</td>\n",
+              "      <td>Adults with HIV (%, age 15-49)</td>\n",
+              "      <td>Adults with HIV</td>\n",
+              "      <td>[\"log\", \"linear\"]</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>http://www.gapminder.org/gapminder-world/docum...</td>\n",
+              "      <td>hiv</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>age_at_1st_marriage_women</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>measure</td>\n",
+              "      <td>The mean age, in years, of first marriage for ...</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Age at 1st marriage (women)</td>\n",
+              "      <td>Age at 1st marriage (women)</td>\n",
+              "      <td>Age at 1st marriage</td>\n",
+              "      <td>[\"linear\", \"log\"]</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>http://spreadsheets.google.com/pub?key=t4eF8H_...</td>\n",
+              "      <td>population</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>aged_15_24_employment_rate_percent</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>measure</td>\n",
+              "      <td>Percentage of total population, age group 15-2...</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Aged 15-24 employment rate (%)</td>\n",
+              "      <td>Aged 15-24</td>\n",
+              "      <td>Employment rate (%)</td>\n",
+              "      <td>[\"linear\", \"log\"]</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>http://ilo.org/legacy/english/global-reports/k...</td>\n",
+              "      <td>employment_rate</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>aged_15_24_unemployment_rate_percent</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>measure</td>\n",
+              "      <td>Percentage of total population, age group 15-2...</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Aged 15-24 unemployment rate (%)</td>\n",
+              "      <td>Aged 15-24</td>\n",
+              "      <td>Unemployment rate (%)</td>\n",
+              "      <td>[\"linear\", \"log\"]</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>http://ilo.org/legacy/english/global-reports/k...</td>\n",
+              "      <td>unemployment</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>aged_15_64_labour_force_participation_rate_per...</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>measure</td>\n",
+              "      <td>For age group 15-64, percentage of all labour ...</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Aged 15-64 labour force participation rate (%)</td>\n",
+              "      <td>Aged 15-64</td>\n",
+              "      <td>Labour force participation rate (%)</td>\n",
+              "      <td>[\"linear\", \"log\"]</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>http://ilo.org/legacy/english/global-reports/k...</td>\n",
+              "      <td>labour_force_participation</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                                             concept color concept_type  \\\n",
+              "0                  adults_with_hiv_percent_age_15_49   NaN      measure   \n",
+              "1                          age_at_1st_marriage_women   NaN      measure   \n",
+              "2                 aged_15_24_employment_rate_percent   NaN      measure   \n",
+              "3               aged_15_24_unemployment_rate_percent   NaN      measure   \n",
+              "4  aged_15_64_labour_force_participation_rate_per...   NaN      measure   \n",
+              "\n",
+              "                                         description description_long domain  \\\n",
+              "0  The estimated percentage of adults aged 15 to ...              NaN    NaN   \n",
+              "1  The mean age, in years, of first marriage for ...              NaN    NaN   \n",
+              "2  Percentage of total population, age group 15-2...              NaN    NaN   \n",
+              "3  Percentage of total population, age group 15-2...              NaN    NaN   \n",
+              "4  For age group 15-64, percentage of all labour ...              NaN    NaN   \n",
+              "\n",
+              "  drill_up indicator_url                                            name  \\\n",
+              "0      NaN           NaN                  Adults with HIV (%, age 15-49)   \n",
+              "1      NaN           NaN                     Age at 1st marriage (women)   \n",
+              "2      NaN           NaN                  Aged 15-24 employment rate (%)   \n",
+              "3      NaN           NaN                Aged 15-24 unemployment rate (%)   \n",
+              "4      NaN           NaN  Aged 15-64 labour force participation rate (%)   \n",
+              "\n",
+              "                     name_catalog                           name_short  \\\n",
+              "0  Adults with HIV (%, age 15-49)                      Adults with HIV   \n",
+              "1     Age at 1st marriage (women)                  Age at 1st marriage   \n",
+              "2                      Aged 15-24                  Employment rate (%)   \n",
+              "3                      Aged 15-24                Unemployment rate (%)   \n",
+              "4                      Aged 15-64  Labour force participation rate (%)   \n",
+              "\n",
+              "              scales source source_long  \\\n",
+              "0  [\"log\", \"linear\"]    NaN         NaN   \n",
+              "1  [\"linear\", \"log\"]    NaN         NaN   \n",
+              "2  [\"linear\", \"log\"]    NaN         NaN   \n",
+              "3  [\"linear\", \"log\"]    NaN         NaN   \n",
+              "4  [\"linear\", \"log\"]    NaN         NaN   \n",
+              "\n",
+              "                                          source_url  \\\n",
+              "0  http://www.gapminder.org/gapminder-world/docum...   \n",
+              "1  http://spreadsheets.google.com/pub?key=t4eF8H_...   \n",
+              "2  http://ilo.org/legacy/english/global-reports/k...   \n",
+              "3  http://ilo.org/legacy/english/global-reports/k...   \n",
+              "4  http://ilo.org/legacy/english/global-reports/k...   \n",
+              "\n",
+              "                         tags  \n",
+              "0                         hiv  \n",
+              "1                  population  \n",
+              "2             employment_rate  \n",
+              "3                unemployment  \n",
+              "4  labour_force_participation  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 14
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "jbLZL-Hwalml",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "77ffdea6-51a6-4841-8693-f996035e3a49"
+      },
+      "cell_type": "code",
+      "source": [
+        "income.shape, life_span.shape, population.shape, entities.shape, concepts.shape"
+      ],
+      "execution_count": 15,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "((44268, 3), (44370, 3), (51939, 3), (273, 33), (590, 16))"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 15
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "0TzGDGrbbPIv",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Merge DATA**"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Y5ZQe3WoaueO",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1805
+        },
+        "outputId": "92ceb833-17af-4447-b5bd-95d748eda623"
+      },
+      "cell_type": "code",
+      "source": [
+        "# Merge the Data\n",
+        "\n",
+        "help(pd.merge)"
+      ],
+      "execution_count": 16,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "Help on function merge in module pandas.core.reshape.merge:\n",
+            "\n",
+            "merge(left, right, how='inner', on=None, left_on=None, right_on=None, left_index=False, right_index=False, sort=False, suffixes=('_x', '_y'), copy=True, indicator=False, validate=None)\n",
+            "    Merge DataFrame objects by performing a database-style join operation by\n",
+            "    columns or indexes.\n",
+            "    \n",
+            "    If joining columns on columns, the DataFrame indexes *will be\n",
+            "    ignored*. Otherwise if joining indexes on indexes or indexes on a column or\n",
+            "    columns, the index will be passed on.\n",
+            "    \n",
+            "    Parameters\n",
+            "    ----------\n",
+            "    left : DataFrame\n",
+            "    right : DataFrame\n",
+            "    how : {'left', 'right', 'outer', 'inner'}, default 'inner'\n",
+            "        * left: use only keys from left frame, similar to a SQL left outer join;\n",
+            "          preserve key order\n",
+            "        * right: use only keys from right frame, similar to a SQL right outer join;\n",
+            "          preserve key order\n",
+            "        * outer: use union of keys from both frames, similar to a SQL full outer\n",
+            "          join; sort keys lexicographically\n",
+            "        * inner: use intersection of keys from both frames, similar to a SQL inner\n",
+            "          join; preserve the order of the left keys\n",
+            "    on : label or list\n",
+            "        Field names to join on. Must be found in both DataFrames. If on is\n",
+            "        None and not merging on indexes, then it merges on the intersection of\n",
+            "        the columns by default.\n",
+            "    left_on : label or list, or array-like\n",
+            "        Field names to join on in left DataFrame. Can be a vector or list of\n",
+            "        vectors of the length of the DataFrame to use a particular vector as\n",
+            "        the join key instead of columns\n",
+            "    right_on : label or list, or array-like\n",
+            "        Field names to join on in right DataFrame or vector/list of vectors per\n",
+            "        left_on docs\n",
+            "    left_index : boolean, default False\n",
+            "        Use the index from the left DataFrame as the join key(s). If it is a\n",
+            "        MultiIndex, the number of keys in the other DataFrame (either the index\n",
+            "        or a number of columns) must match the number of levels\n",
+            "    right_index : boolean, default False\n",
+            "        Use the index from the right DataFrame as the join key. Same caveats as\n",
+            "        left_index\n",
+            "    sort : boolean, default False\n",
+            "        Sort the join keys lexicographically in the result DataFrame. If False,\n",
+            "        the order of the join keys depends on the join type (how keyword)\n",
+            "    suffixes : 2-length sequence (tuple, list, ...)\n",
+            "        Suffix to apply to overlapping column names in the left and right\n",
+            "        side, respectively\n",
+            "    copy : boolean, default True\n",
+            "        If False, do not copy data unnecessarily\n",
+            "    indicator : boolean or string, default False\n",
+            "        If True, adds a column to output DataFrame called \"_merge\" with\n",
+            "        information on the source of each row.\n",
+            "        If string, column with information on source of each row will be added to\n",
+            "        output DataFrame, and column will be named value of string.\n",
+            "        Information column is Categorical-type and takes on a value of \"left_only\"\n",
+            "        for observations whose merge key only appears in 'left' DataFrame,\n",
+            "        \"right_only\" for observations whose merge key only appears in 'right'\n",
+            "        DataFrame, and \"both\" if the observation's merge key is found in both.\n",
+            "    \n",
+            "        .. versionadded:: 0.17.0\n",
+            "    \n",
+            "    validate : string, default None\n",
+            "        If specified, checks if merge is of specified type.\n",
+            "    \n",
+            "        * \"one_to_one\" or \"1:1\": check if merge keys are unique in both\n",
+            "          left and right datasets.\n",
+            "        * \"one_to_many\" or \"1:m\": check if merge keys are unique in left\n",
+            "          dataset.\n",
+            "        * \"many_to_one\" or \"m:1\": check if merge keys are unique in right\n",
+            "          dataset.\n",
+            "        * \"many_to_many\" or \"m:m\": allowed, but does not result in checks.\n",
+            "    \n",
+            "        .. versionadded:: 0.21.0\n",
+            "    \n",
+            "    Examples\n",
+            "    --------\n",
+            "    \n",
+            "    >>> A              >>> B\n",
+            "        lkey value         rkey value\n",
+            "    0   foo  1         0   foo  5\n",
+            "    1   bar  2         1   bar  6\n",
+            "    2   baz  3         2   qux  7\n",
+            "    3   foo  4         3   bar  8\n",
+            "    \n",
+            "    >>> A.merge(B, left_on='lkey', right_on='rkey', how='outer')\n",
+            "       lkey  value_x  rkey  value_y\n",
+            "    0  foo   1        foo   5\n",
+            "    1  foo   4        foo   5\n",
+            "    2  bar   2        bar   6\n",
+            "    3  bar   2        bar   8\n",
+            "    4  baz   3        NaN   NaN\n",
+            "    5  NaN   NaN      qux   7\n",
+            "    \n",
+            "    Returns\n",
+            "    -------\n",
+            "    merged : DataFrame\n",
+            "        The output type will the be same as 'left', if it is a subclass\n",
+            "        of DataFrame.\n",
+            "    \n",
+            "    See also\n",
+            "    --------\n",
+            "    merge_ordered\n",
+            "    merge_asof\n",
+            "\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "auDdWrjUbJiB",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "df = pd.merge(income, life_span)"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "zdiZWzXabhUQ",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "ccda4823-7ca1-4042-a874-2d4fca25ba8c"
+      },
+      "cell_type": "code",
+      "source": [
+        "income.shape, life_span.shape, df.shape"
+      ],
+      "execution_count": 18,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "((44268, 3), (44370, 3), (41790, 4))"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 18
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "PU3xi_sFbvjb",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "209a74c5-daed-41f9-949d-a94aab0e9b8a"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.head()\n",
+        "\n",
+        "# InnerJoin: Only keeping rows with same keys, hence different number of rows"
+      ],
+      "execution_count": 19,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>geo</th>\n",
+              "      <th>time</th>\n",
+              "      <th>income_per_person_gdppercapita_ppp_inflation_adjusted</th>\n",
+              "      <th>life_expectancy_years</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1800</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1801</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1802</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1803</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1804</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   geo  time  income_per_person_gdppercapita_ppp_inflation_adjusted  \\\n",
+              "0  abw  1800                                                833       \n",
+              "1  abw  1801                                                833       \n",
+              "2  abw  1802                                                833       \n",
+              "3  abw  1803                                                833       \n",
+              "4  abw  1804                                                833       \n",
+              "\n",
+              "   life_expectancy_years  \n",
+              "0                  34.42  \n",
+              "1                  34.42  \n",
+              "2                  34.42  \n",
+              "3                  34.42  \n",
+              "4                  34.42  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 19
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "MjsJQf30bxwk",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 270
+        },
+        "outputId": "63465754-c4e7-4f6f-cc27-0502c05048cb"
+      },
+      "cell_type": "code",
+      "source": [
+        "entities.head()"
+      ],
+      "execution_count": 20,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>country</th>\n",
+              "      <th>alt_5</th>\n",
+              "      <th>alternative_1</th>\n",
+              "      <th>alternative_2</th>\n",
+              "      <th>alternative_3</th>\n",
+              "      <th>alternative_4_cdiac</th>\n",
+              "      <th>arb1</th>\n",
+              "      <th>arb2</th>\n",
+              "      <th>arb3</th>\n",
+              "      <th>arb4</th>\n",
+              "      <th>...</th>\n",
+              "      <th>latitude</th>\n",
+              "      <th>longitude</th>\n",
+              "      <th>main_religion_2008</th>\n",
+              "      <th>name</th>\n",
+              "      <th>pandg</th>\n",
+              "      <th>un_state</th>\n",
+              "      <th>unicode_region_subtag</th>\n",
+              "      <th>upper_case_name</th>\n",
+              "      <th>world_4region</th>\n",
+              "      <th>world_6region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>abkh</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>...</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Abkhazia</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>False</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>europe</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>...</td>\n",
+              "      <td>12.50000</td>\n",
+              "      <td>-69.96667</td>\n",
+              "      <td>christian</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>False</td>\n",
+              "      <td>AW</td>\n",
+              "      <td>ARUBA</td>\n",
+              "      <td>americas</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>afg</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Islamic Republic of Afghanistan</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Afghanistan</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>...</td>\n",
+              "      <td>33.00000</td>\n",
+              "      <td>66.00000</td>\n",
+              "      <td>muslim</td>\n",
+              "      <td>Afghanistan</td>\n",
+              "      <td>AFGHANISTAN</td>\n",
+              "      <td>True</td>\n",
+              "      <td>AF</td>\n",
+              "      <td>AFGHANISTAN</td>\n",
+              "      <td>asia</td>\n",
+              "      <td>south_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>ago</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>Angola</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>...</td>\n",
+              "      <td>-12.50000</td>\n",
+              "      <td>18.50000</td>\n",
+              "      <td>christian</td>\n",
+              "      <td>Angola</td>\n",
+              "      <td>ANGOLA</td>\n",
+              "      <td>True</td>\n",
+              "      <td>AO</td>\n",
+              "      <td>ANGOLA</td>\n",
+              "      <td>africa</td>\n",
+              "      <td>sub_saharan_africa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>aia</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>...</td>\n",
+              "      <td>18.21667</td>\n",
+              "      <td>-63.05000</td>\n",
+              "      <td>christian</td>\n",
+              "      <td>Anguilla</td>\n",
+              "      <td>NaN</td>\n",
+              "      <td>False</td>\n",
+              "      <td>AI</td>\n",
+              "      <td>ANGUILLA</td>\n",
+              "      <td>americas</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "<p>5 rows × 33 columns</p>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "  country alt_5                    alternative_1 alternative_2 alternative_3  \\\n",
+              "0    abkh   NaN                              NaN           NaN           NaN   \n",
+              "1     abw   NaN                              NaN           NaN           NaN   \n",
+              "2     afg   NaN  Islamic Republic of Afghanistan           NaN           NaN   \n",
+              "3     ago   NaN                              NaN           NaN           NaN   \n",
+              "4     aia   NaN                              NaN           NaN           NaN   \n",
+              "\n",
+              "  alternative_4_cdiac arb1 arb2 arb3 arb4         ...           latitude  \\\n",
+              "0                 NaN  NaN  NaN  NaN  NaN         ...                NaN   \n",
+              "1               Aruba  NaN  NaN  NaN  NaN         ...           12.50000   \n",
+              "2         Afghanistan  NaN  NaN  NaN  NaN         ...           33.00000   \n",
+              "3              Angola  NaN  NaN  NaN  NaN         ...          -12.50000   \n",
+              "4                 NaN  NaN  NaN  NaN  NaN         ...           18.21667   \n",
+              "\n",
+              "  longitude main_religion_2008         name        pandg un_state  \\\n",
+              "0       NaN                NaN     Abkhazia          NaN    False   \n",
+              "1 -69.96667          christian        Aruba          NaN    False   \n",
+              "2  66.00000             muslim  Afghanistan  AFGHANISTAN     True   \n",
+              "3  18.50000          christian       Angola       ANGOLA     True   \n",
+              "4 -63.05000          christian     Anguilla          NaN    False   \n",
+              "\n",
+              "  unicode_region_subtag  upper_case_name world_4region        world_6region  \n",
+              "0                   NaN              NaN        europe  europe_central_asia  \n",
+              "1                    AW            ARUBA      americas              america  \n",
+              "2                    AF      AFGHANISTAN          asia           south_asia  \n",
+              "3                    AO           ANGOLA        africa   sub_saharan_africa  \n",
+              "4                    AI         ANGUILLA      americas              america  \n",
+              "\n",
+              "[5 rows x 33 columns]"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 20
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "WWBeDY20cVSd",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1072
+        },
+        "outputId": "52e357a7-9703-4096-dd12-7bf3ec52f2b4"
+      },
+      "cell_type": "code",
+      "source": [
+        "entities[entities.country=='abw'].T"
+      ],
+      "execution_count": 21,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>1</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>country</th>\n",
+              "      <td>abw</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>alt_5</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>alternative_1</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>alternative_2</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>alternative_3</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>alternative_4_cdiac</th>\n",
+              "      <td>Aruba</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>arb1</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>arb2</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>arb3</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>arb4</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>arb5</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>arb6</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>g77_and_oecd_countries</th>\n",
+              "      <td>others</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>gapminder_list</th>\n",
+              "      <td>Aruba</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>god_id</th>\n",
+              "      <td>AW</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>gwid</th>\n",
+              "      <td>i12</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>income_groups</th>\n",
+              "      <td>high_income</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>is--country</th>\n",
+              "      <td>True</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>iso3166_1_alpha2</th>\n",
+              "      <td>AW</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>iso3166_1_alpha3</th>\n",
+              "      <td>ABW</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>iso3166_1_numeric</th>\n",
+              "      <td>533</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>iso3166_2</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>landlocked</th>\n",
+              "      <td>coastline</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>latitude</th>\n",
+              "      <td>12.5</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>longitude</th>\n",
+              "      <td>-69.9667</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>main_religion_2008</th>\n",
+              "      <td>christian</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>name</th>\n",
+              "      <td>Aruba</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>pandg</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>un_state</th>\n",
+              "      <td>False</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>unicode_region_subtag</th>\n",
+              "      <td>AW</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>upper_case_name</th>\n",
+              "      <td>ARUBA</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>world_4region</th>\n",
+              "      <td>americas</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>world_6region</th>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                                  1\n",
+              "country                         abw\n",
+              "alt_5                           NaN\n",
+              "alternative_1                   NaN\n",
+              "alternative_2                   NaN\n",
+              "alternative_3                   NaN\n",
+              "alternative_4_cdiac           Aruba\n",
+              "arb1                            NaN\n",
+              "arb2                            NaN\n",
+              "arb3                            NaN\n",
+              "arb4                            NaN\n",
+              "arb5                            NaN\n",
+              "arb6                            NaN\n",
+              "g77_and_oecd_countries       others\n",
+              "gapminder_list                Aruba\n",
+              "god_id                           AW\n",
+              "gwid                            i12\n",
+              "income_groups           high_income\n",
+              "is--country                    True\n",
+              "iso3166_1_alpha2                 AW\n",
+              "iso3166_1_alpha3                ABW\n",
+              "iso3166_1_numeric               533\n",
+              "iso3166_2                       NaN\n",
+              "landlocked                coastline\n",
+              "latitude                       12.5\n",
+              "longitude                  -69.9667\n",
+              "main_religion_2008        christian\n",
+              "name                          Aruba\n",
+              "pandg                           NaN\n",
+              "un_state                      False\n",
+              "unicode_region_subtag            AW\n",
+              "upper_case_name               ARUBA\n",
+              "world_4region              americas\n",
+              "world_6region               america"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 21
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "TTp84vNecfw6",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 102
+        },
+        "outputId": "1cf21786-20fc-46ab-a05a-c4f51badb2a5"
+      },
+      "cell_type": "code",
+      "source": [
+        "entities.world_4region.value_counts()"
+      ],
+      "execution_count": 22,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "asia        80\n",
+              "europe      73\n",
+              "africa      61\n",
+              "americas    57\n",
+              "Name: world_4region, dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 22
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ttoXoo_7cr8d",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 136
+        },
+        "outputId": "62c488ec-9925-4dae-fc48-c729a5eb3740"
+      },
+      "cell_type": "code",
+      "source": [
+        "entities.world_6region.value_counts()"
+      ],
+      "execution_count": 23,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "europe_central_asia         77\n",
+              "america                     53\n",
+              "sub_saharan_africa          53\n",
+              "east_asia_pacific           46\n",
+              "middle_east_north_africa    23\n",
+              "south_asia                   8\n",
+              "Name: world_6region, dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 23
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "oPld5mNrcusu",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "8c1d2b62-0da6-475d-f263-893ffe5ff764"
+      },
+      "cell_type": "code",
+      "source": [
+        "variables = ['country', 'name', 'world_6region']\n",
+        "\n",
+        "entities[variables].head()"
+      ],
+      "execution_count": 24,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>country</th>\n",
+              "      <th>name</th>\n",
+              "      <th>world_6region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>abkh</td>\n",
+              "      <td>Abkhazia</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>afg</td>\n",
+              "      <td>Afghanistan</td>\n",
+              "      <td>south_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>ago</td>\n",
+              "      <td>Angola</td>\n",
+              "      <td>sub_saharan_africa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>aia</td>\n",
+              "      <td>Anguilla</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "  country         name        world_6region\n",
+              "0    abkh     Abkhazia  europe_central_asia\n",
+              "1     abw        Aruba              america\n",
+              "2     afg  Afghanistan           south_asia\n",
+              "3     ago       Angola   sub_saharan_africa\n",
+              "4     aia     Anguilla              america"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 24
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "7gevmAhIdCQL",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "eb1bfacc-990b-433e-bc0e-ba3aa18cb239"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.head()"
+      ],
+      "execution_count": 25,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>geo</th>\n",
+              "      <th>time</th>\n",
+              "      <th>income_per_person_gdppercapita_ppp_inflation_adjusted</th>\n",
+              "      <th>life_expectancy_years</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1800</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1801</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1802</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1803</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1804</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   geo  time  income_per_person_gdppercapita_ppp_inflation_adjusted  \\\n",
+              "0  abw  1800                                                833       \n",
+              "1  abw  1801                                                833       \n",
+              "2  abw  1802                                                833       \n",
+              "3  abw  1803                                                833       \n",
+              "4  abw  1804                                                833       \n",
+              "\n",
+              "   life_expectancy_years  \n",
+              "0                  34.42  \n",
+              "1                  34.42  \n",
+              "2                  34.42  \n",
+              "3                  34.42  \n",
+              "4                  34.42  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 25
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "2A2IOIvadJ2i",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "0897190f-678d-4ff9-f63e-1c7e4b46d2a2"
+      },
+      "cell_type": "code",
+      "source": [
+        "# Preview\n",
+        "\n",
+        "pd.merge(df, entities[variables],\n",
+        "        how='inner', left_on='geo', right_on='country').head()"
+      ],
+      "execution_count": 26,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>geo</th>\n",
+              "      <th>time</th>\n",
+              "      <th>income_per_person_gdppercapita_ppp_inflation_adjusted</th>\n",
+              "      <th>life_expectancy_years</th>\n",
+              "      <th>country</th>\n",
+              "      <th>name</th>\n",
+              "      <th>world_6region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1800</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>abw</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1801</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>abw</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1802</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>abw</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1803</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>abw</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1804</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>abw</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   geo  time  income_per_person_gdppercapita_ppp_inflation_adjusted  \\\n",
+              "0  abw  1800                                                833       \n",
+              "1  abw  1801                                                833       \n",
+              "2  abw  1802                                                833       \n",
+              "3  abw  1803                                                833       \n",
+              "4  abw  1804                                                833       \n",
+              "\n",
+              "   life_expectancy_years country   name world_6region  \n",
+              "0                  34.42     abw  Aruba       america  \n",
+              "1                  34.42     abw  Aruba       america  \n",
+              "2                  34.42     abw  Aruba       america  \n",
+              "3                  34.42     abw  Aruba       america  \n",
+              "4                  34.42     abw  Aruba       america  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 26
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Wl-7vmUkeRKS",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "# Forgot to merge df and population earlier so\n",
+        "\n",
+        "df = pd.merge(df, population)"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "CT37XmQL4nad",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "13246519-493f-4ac6-b533-910ca37b2ade"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.head()"
+      ],
+      "execution_count": 28,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>geo</th>\n",
+              "      <th>time</th>\n",
+              "      <th>income_per_person_gdppercapita_ppp_inflation_adjusted</th>\n",
+              "      <th>life_expectancy_years</th>\n",
+              "      <th>population_total</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1800</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1801</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1802</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1803</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>abw</td>\n",
+              "      <td>1804</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   geo  time  income_per_person_gdppercapita_ppp_inflation_adjusted  \\\n",
+              "0  abw  1800                                                833       \n",
+              "1  abw  1801                                                833       \n",
+              "2  abw  1802                                                833       \n",
+              "3  abw  1803                                                833       \n",
+              "4  abw  1804                                                833       \n",
+              "\n",
+              "   life_expectancy_years  population_total  \n",
+              "0                  34.42             19286  \n",
+              "1                  34.42             19286  \n",
+              "2                  34.42             19286  \n",
+              "3                  34.42             19286  \n",
+              "4                  34.42             19286  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 28
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "YmNZUVXVdjYI",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "39810331-5803-486b-8bd7-9d659c2bb8a6"
+      },
+      "cell_type": "code",
+      "source": [
+        "df = pd.merge(df, entities[variables],\n",
+        "             how='inner', left_on='geo', right_on='country')\n",
+        "\n",
+        "df.drop(columns=['geo', 'country'], inplace=True)\n",
+        "\n",
+        "# pandas rename function\n",
+        "df.rename(columns={\n",
+        "    'time': 'year',\n",
+        "    'income_per_person_gdppercapita_ppp_inflation_adjusted': 'income',\n",
+        "    'life_expectancy_years': 'lifespan',\n",
+        "    'populaton_total': 'population',\n",
+        "    'name': 'country',\n",
+        "    'world_6region': 'region'\n",
+        "}, inplace=True)\n",
+        "\n",
+        "df.shape"
+      ],
+      "execution_count": 29,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(41790, 6)"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 29
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "T7nE0-T8eoMv",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "63194275-dd69-419f-8964-aa3316274472"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.head()"
+      ],
+      "execution_count": 30,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1800</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>1801</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>1802</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>1803</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>1804</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   year  income  lifespan  population_total country   region\n",
+              "0  1800     833     34.42             19286   Aruba  america\n",
+              "1  1801     833     34.42             19286   Aruba  america\n",
+              "2  1802     833     34.42             19286   Aruba  america\n",
+              "3  1803     833     34.42             19286   Aruba  america\n",
+              "4  1804     833     34.42             19286   Aruba  america"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 30
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "faRpduCnfISG",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Explore Data\n",
+        "**"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "eSCdDhgQepn1",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 297
+        },
+        "outputId": "7858029f-28c7-4848-9f14-5161454f1ce8"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.describe()"
+      ],
+      "execution_count": 31,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>41790.000000</td>\n",
+              "      <td>41790.000000</td>\n",
+              "      <td>41790.000000</td>\n",
+              "      <td>4.179000e+04</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>1909.357406</td>\n",
+              "      <td>4778.593683</td>\n",
+              "      <td>43.267181</td>\n",
+              "      <td>1.332550e+07</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>63.322969</td>\n",
+              "      <td>10502.602580</td>\n",
+              "      <td>16.394240</td>\n",
+              "      <td>6.502349e+07</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>1800.000000</td>\n",
+              "      <td>247.000000</td>\n",
+              "      <td>1.000000</td>\n",
+              "      <td>2.128000e+03</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>1854.000000</td>\n",
+              "      <td>884.000000</td>\n",
+              "      <td>31.200000</td>\n",
+              "      <td>3.760282e+05</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>1909.000000</td>\n",
+              "      <td>1449.000000</td>\n",
+              "      <td>35.500000</td>\n",
+              "      <td>1.915244e+06</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>1964.000000</td>\n",
+              "      <td>3536.750000</td>\n",
+              "      <td>56.340000</td>\n",
+              "      <td>6.260147e+06</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>2018.000000</td>\n",
+              "      <td>177522.000000</td>\n",
+              "      <td>84.170000</td>\n",
+              "      <td>1.415046e+09</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "               year         income      lifespan  population_total\n",
+              "count  41790.000000   41790.000000  41790.000000      4.179000e+04\n",
+              "mean    1909.357406    4778.593683     43.267181      1.332550e+07\n",
+              "std       63.322969   10502.602580     16.394240      6.502349e+07\n",
+              "min     1800.000000     247.000000      1.000000      2.128000e+03\n",
+              "25%     1854.000000     884.000000     31.200000      3.760282e+05\n",
+              "50%     1909.000000    1449.000000     35.500000      1.915244e+06\n",
+              "75%     1964.000000    3536.750000     56.340000      6.260147e+06\n",
+              "max     2018.000000  177522.000000     84.170000      1.415046e+09"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 31
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "z5v_UJWBfL4c",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 173
+        },
+        "outputId": "37651345-fb27-44dd-8bf3-0b3f8144e2d6"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.describe(exclude=[np.number])"
+      ],
+      "execution_count": 32,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>41790</td>\n",
+              "      <td>41790</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>unique</th>\n",
+              "      <td>194</td>\n",
+              "      <td>6</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>top</th>\n",
+              "      <td>United Arab Emirates</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>freq</th>\n",
+              "      <td>219</td>\n",
+              "      <td>10991</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                     country               region\n",
+              "count                  41790                41790\n",
+              "unique                   194                    6\n",
+              "top     United Arab Emirates  europe_central_asia\n",
+              "freq                     219                10991"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 32
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "TupbGAdyfUg8",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 697
+        },
+        "outputId": "9d74213f-7df1-492c-887a-e9ca7e250a4c"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.country.unique()"
+      ],
+      "execution_count": 33,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "array(['Aruba', 'Afghanistan', 'Angola', 'Albania', 'Andorra',\n",
+              "       'United Arab Emirates', 'Argentina', 'Armenia',\n",
+              "       'Antigua and Barbuda', 'Australia', 'Austria', 'Azerbaijan',\n",
+              "       'Burundi', 'Belgium', 'Benin', 'Burkina Faso', 'Bangladesh',\n",
+              "       'Bulgaria', 'Bahrain', 'Bahamas', 'Bosnia and Herzegovina',\n",
+              "       'Belarus', 'Belize', 'Bermuda', 'Bolivia', 'Brazil', 'Barbados',\n",
+              "       'Brunei', 'Bhutan', 'Botswana', 'Central African Republic',\n",
+              "       'Canada', 'Switzerland', 'Chile', 'China', \"Cote d'Ivoire\",\n",
+              "       'Cameroon', 'Congo, Dem. Rep.', 'Congo, Rep.', 'Colombia',\n",
+              "       'Comoros', 'Cape Verde', 'Costa Rica', 'Cuba', 'Cyprus',\n",
+              "       'Czech Republic', 'Germany', 'Djibouti', 'Dominica', 'Denmark',\n",
+              "       'Dominican Republic', 'Algeria', 'Ecuador', 'Egypt', 'Eritrea',\n",
+              "       'Spain', 'Estonia', 'Ethiopia', 'Finland', 'Fiji', 'France',\n",
+              "       'Micronesia, Fed. Sts.', 'Gabon', 'United Kingdom', 'Georgia',\n",
+              "       'Ghana', 'Guinea', 'Gambia', 'Guinea-Bissau', 'Equatorial Guinea',\n",
+              "       'Greece', 'Grenada', 'Greenland', 'Guatemala', 'Guyana',\n",
+              "       'Hong Kong, China', 'Honduras', 'Croatia', 'Haiti', 'Hungary',\n",
+              "       'Indonesia', 'India', 'Ireland', 'Iran', 'Iraq', 'Iceland',\n",
+              "       'Israel', 'Italy', 'Jamaica', 'Jordan', 'Japan', 'Kazakhstan',\n",
+              "       'Kenya', 'Kyrgyz Republic', 'Cambodia', 'Kiribati', 'South Korea',\n",
+              "       'Kuwait', 'Lao', 'Lebanon', 'Liberia', 'Libya', 'St. Lucia',\n",
+              "       'Sri Lanka', 'Lesotho', 'Lithuania', 'Luxembourg', 'Latvia',\n",
+              "       'Macao, China', 'Morocco', 'Moldova', 'Madagascar', 'Maldives',\n",
+              "       'Mexico', 'Marshall Islands', 'Macedonia, FYR', 'Mali', 'Malta',\n",
+              "       'Myanmar', 'Montenegro', 'Mongolia', 'Mozambique', 'Mauritania',\n",
+              "       'Mauritius', 'Malawi', 'Malaysia', 'Namibia', 'Niger', 'Nigeria',\n",
+              "       'Nicaragua', 'Netherlands', 'Norway', 'Nepal', 'New Zealand',\n",
+              "       'Oman', 'Pakistan', 'Panama', 'Peru', 'Philippines',\n",
+              "       'Papua New Guinea', 'Poland', 'Puerto Rico', 'North Korea',\n",
+              "       'Portugal', 'Paraguay', 'Palestine', 'Qatar', 'Romania', 'Russia',\n",
+              "       'Rwanda', 'Saudi Arabia', 'Sudan', 'Senegal', 'Singapore',\n",
+              "       'Solomon Islands', 'Sierra Leone', 'El Salvador', 'Somalia',\n",
+              "       'Serbia', 'South Sudan', 'Sao Tome and Principe', 'Suriname',\n",
+              "       'Slovak Republic', 'Slovenia', 'Sweden', 'Swaziland', 'Seychelles',\n",
+              "       'Syria', 'Chad', 'Togo', 'Thailand', 'Tajikistan', 'Turkmenistan',\n",
+              "       'Timor-Leste', 'Tonga', 'Trinidad and Tobago', 'Tunisia', 'Turkey',\n",
+              "       'Taiwan', 'Tanzania', 'Uganda', 'Ukraine', 'Uruguay',\n",
+              "       'United States', 'Uzbekistan', 'St. Vincent and the Grenadines',\n",
+              "       'Venezuela', 'Vietnam', 'Vanuatu', 'Samoa', 'Yemen',\n",
+              "       'South Africa', 'Zambia', 'Zimbabwe'], dtype=object)"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 33
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "wt9ZgNxlfWUC",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "usa = df[df.country=='United States']"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "cQkZ2Lvdfi_Y",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 142
+        },
+        "outputId": "1461f394-2fbc-4fe3-ad60-d9f255d43808"
+      },
+      "cell_type": "code",
+      "source": [
+        "usa[usa.year.isin([1818, 1918, 2018])]"
+      ],
+      "execution_count": 35,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>39399</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>2258</td>\n",
+              "      <td>39.41</td>\n",
+              "      <td>9879049</td>\n",
+              "      <td>United States</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>39499</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>9371</td>\n",
+              "      <td>47.18</td>\n",
+              "      <td>106721812</td>\n",
+              "      <td>United States</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>39599</th>\n",
+              "      <td>2018</td>\n",
+              "      <td>54898</td>\n",
+              "      <td>79.14</td>\n",
+              "      <td>326766748</td>\n",
+              "      <td>United States</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "       year  income  lifespan  population_total        country   region\n",
+              "39399  1818    2258     39.41           9879049  United States  america\n",
+              "39499  1918    9371     47.18         106721812  United States  america\n",
+              "39599  2018   54898     79.14         326766748  United States  america"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 35
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ILlFQ4y3f8Bj",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "china = df[df.country=='China']"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "6D6EopMvgAbw",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 142
+        },
+        "outputId": "5d592c9e-4445-465e-d1a3-79a3d38f9412"
+      },
+      "cell_type": "code",
+      "source": [
+        "china[china.year.isin([1818, 1918, 2018])]"
+      ],
+      "execution_count": 37,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>7120</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>985</td>\n",
+              "      <td>32.00</td>\n",
+              "      <td>374161494</td>\n",
+              "      <td>China</td>\n",
+              "      <td>east_asia_pacific</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7220</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>989</td>\n",
+              "      <td>22.13</td>\n",
+              "      <td>462444535</td>\n",
+              "      <td>China</td>\n",
+              "      <td>east_asia_pacific</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7320</th>\n",
+              "      <td>2018</td>\n",
+              "      <td>16018</td>\n",
+              "      <td>76.92</td>\n",
+              "      <td>1415045928</td>\n",
+              "      <td>China</td>\n",
+              "      <td>east_asia_pacific</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "      year  income  lifespan  population_total country             region\n",
+              "7120  1818     985     32.00         374161494   China  east_asia_pacific\n",
+              "7220  1918     989     22.13         462444535   China  east_asia_pacific\n",
+              "7320  2018   16018     76.92        1415045928   China  east_asia_pacific"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 37
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "JBo7UIkqgFiu",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        ""
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "UHPiyHXegGyL",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Plot Visualization**"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "U3v6gZ5wgJp5",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "now = df[df.year==2018]"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "34aQK-RugS29",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "a7b2cbac-677d-496d-fc7b-7eab88ca8b41"
+      },
+      "cell_type": "code",
+      "source": [
+        "now.head()"
+      ],
+      "execution_count": 39,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>218</th>\n",
+              "      <td>2018</td>\n",
+              "      <td>39219</td>\n",
+              "      <td>76.14</td>\n",
+              "      <td>105670</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>437</th>\n",
+              "      <td>2018</td>\n",
+              "      <td>1867</td>\n",
+              "      <td>58.69</td>\n",
+              "      <td>36373176</td>\n",
+              "      <td>Afghanistan</td>\n",
+              "      <td>south_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>656</th>\n",
+              "      <td>2018</td>\n",
+              "      <td>5846</td>\n",
+              "      <td>65.19</td>\n",
+              "      <td>30774205</td>\n",
+              "      <td>Angola</td>\n",
+              "      <td>sub_saharan_africa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>875</th>\n",
+              "      <td>2018</td>\n",
+              "      <td>12424</td>\n",
+              "      <td>78.01</td>\n",
+              "      <td>2934363</td>\n",
+              "      <td>Albania</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1141</th>\n",
+              "      <td>2018</td>\n",
+              "      <td>68231</td>\n",
+              "      <td>76.89</td>\n",
+              "      <td>9541615</td>\n",
+              "      <td>United Arab Emirates</td>\n",
+              "      <td>middle_east_north_africa</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "      year  income  lifespan  population_total               country  \\\n",
+              "218   2018   39219     76.14            105670                 Aruba   \n",
+              "437   2018    1867     58.69          36373176           Afghanistan   \n",
+              "656   2018    5846     65.19          30774205                Angola   \n",
+              "875   2018   12424     78.01           2934363               Albania   \n",
+              "1141  2018   68231     76.89           9541615  United Arab Emirates   \n",
+              "\n",
+              "                        region  \n",
+              "218                    america  \n",
+              "437                 south_asia  \n",
+              "656         sub_saharan_africa  \n",
+              "875        europe_central_asia  \n",
+              "1141  middle_east_north_africa  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 39
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "OPkWyu3Yga1o",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "d2054821-9b68-4cd0-cfbf-80614b4d122b"
+      },
+      "cell_type": "code",
+      "source": [
+        "now.shape"
+      ],
+      "execution_count": 40,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(188, 6)"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 40
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "wJ5zCyqXgbzj",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 369
+        },
+        "outputId": "f61b5b07-9f84-463c-8a65-c2cee4edf80c"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.relplot(x='income', y='lifespan', hue='region', size='population_total', data=now);"
+      ],
+      "execution_count": 41,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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oJEagKkLAH8aX6yYt3Yk/EOHvH6/lzx+u4tAhudx/+rhd0qWaWIxoaSkmEsG4\nXARNDMvyMfvBpaRnu6mpDOPLcXHCT8bi9rZfkpZUC0fjVAbCuOw2Mjxdp95KtbNOM94iIoXAW8AC\n4ADgfuCngAtYBVxkjKkWkROBh4Aa4CNgiDHmJBG5EJhojPlZsqyngTygOHntehGZAfiBiUAf4JfG\nmJf20iOqVtBZ7o2wO2yk57jpVZhBWnJjlAyPgwsOK+TDGybz+zP22yWYA0Q2bWLNyaewauo0SmY+\nA+LEk+7mqLNHULqpmngszlFnj+hSwTwQifLfb7dx+uMfc8sryymtDnV0lZRSCfsAfwaOAi4Bphlj\nJgALgetFxA08AZxgjDkAaGoTij8AM40x44BZwKMNPisAjgBOArR7vpPTft8mRIuLqZk/H+eQITgL\nC7Glp5PudpDubjwYByMxysWF59HHiD76INXPPUvNiaeR7/HSf0Q2P/7NIQDtthNaPBIhUFmBEcHm\ndOJJT802r1WBKFfNWkI4FmddaS2n7N+PaaN6p+ReSqkWWWeM+URETgJGAx8ll4k6gY+BkcBqY8ya\n5PnPA5c3Us6hwA+Sr58h0dqv82qyK/9LEdH/8Ts5baE3IlpWTtlzz1H1wYesO+dcwmvX7vb8cDTG\nx6tKmfzEYk59q5jgLXfhO+VU1lSEicUNdqcNb6YLb6arXdZlx8NhakuK+c/jj/DElRfy7l/+RK2/\nss3lNkZEyG+w13zv9O4zg12pLq4m+bcA7xhjxif/jDbGXNJO92jYJddphhxU4zSgN6LMcvHEoCm8\nMO1iMmbMIrR69W7PrwxEuH3OF4SicUprwjy6qARz6ZUMGVJAbgpmRcf8fio2rGft8qUAfPvJRwSq\n/O1+H4D8dBf//MkhXDN1H2ZefBADc7tv8hSluqhPgMNFZBiAiHhFZDjwDTAkOUYOcGYT188Hzkq+\nPgeYm7qqqlTSLvedVAcj3Pb6l7y1ogiA8OEDuWHKlD1eV5jrZUNZYmvVYb18uNO99PO1rUUeq6zE\nGIM9a8ctQkUEb04OYlmYeBybw4HTs+uM+/bSPzuN644ZnrLylVKtZ4wpTk5ye15E6rrQbjXGfCsi\nVwL/EZEa4LMmivg58DcRuZHkpLiUV1qlhAb0nQSDMSoD27f3LAvFwbvnLVOvmzac8QOyyPA4KMz1\nsqq4hrz0HZc6BarC1PjDuNPsuL0O7E5bk+VFtmxl8803YyIR+t5zN84BA+o/s+fm4onFOOuWO1n7\nxefsc8gReHyahlOpnsIYsxYY0+D9+8CBjZz6gTFmZHJp259ITJjDGDMDmJF8vQ44upF7XLjT+9Tu\nHa3aTAN6A7VVYZa8sorbjxn47YeKAAAgAElEQVTJrW9+icdp4/pjRmC37X5kwmm3eHLuKgLhOOFo\nnKUbynn/hsk7nBOsifC/f37LyoXbsOzCj341kex8Z6PpUeOBAEX33kPtxx8DsOXW2+j/6CPYMjPr\nz3H36kXfXr3oO2a/RusULa/ARCPYfD4sj6eFPwmlVDdxmYhcQGKi3BISs95VN6UBvYFYOM63C4oo\n2VDNjYcPoM/gDLK9e/4RZXqc3H/yKFauL2FBUZDfnLwvOWk7jp3HonHWJtOKxqOGjUs2kDbE4B4x\nAtk5jaZlYaVtH6u20jxga7o1v7NoaSmbbryR4Iov6f3LG0k//nhsXh37VqqnMcY8DDzc0fVQe0fK\nJsWJyAgRWdrgj19ErhWR6SKyqcHxE1NVh5ayOSzyBvgo21zD56+sxgCvf76FquDuM2xFy8sJznya\nnHtu4TxvOcOyHLgcOwZgu8Ni30n9AHCl2ek/1Me2Bx8iVlW1S3mWy0WvX1xP5umnk3HyyfSZ/hts\nPh/R4mL8/36T4HffEaup2eW6OoGln1M7/2PilZVsue12TG1ty38YSimlupSUtdCNMd8A4wFExAZs\nAl4hMeHiYWPM71N179ZKy3Dy/Z+Pp7y4lrBDuP/D73jzyyIOHZLX5PpzgPCaNZT+6c8AbLz8Jwx9\n9x0s947j5640BxNPLGTMITmYinIq7r0d9z7DkEa63AHseXn0ueN2MAbL6SRaWsq6iy4mvHIlWBZD\nXp+DbejQRq919O+3/XW/fmDpYgallOru9laX+1RglTFmXWfMj13rr2TVogUE/H5GHzkFW14ax97/\nAdG44dChuXgcAlVbwZEG7l03cBHn9qAsDgdNLdd0ex3YIzZCW8vJu/giPPuNw5aWRmmglCXbltDP\n14/+6f1JdyYmuFmO7V8iTCxGeNWqxJt4nPDadbiaCuh9+zHo+ecJrlhB+rSp2HNzW/mTUUop1VXs\nlb3cReRpYLEx5o8iMh24kMQewQuBXxhjyhu55nKSuxoNHDjwgHXr1qWkbpFQiHnPz2Txm4k8Bbn9\nB/LDW3/Hl+VxHDZhfVkAf00tJw6IkPfNP+CIayBtxwAZq6yk6p13qP5oPnmXXYprn32SgX3PKoIV\n/HLuL/l4c2IC3N9P+Dv799p/l/Ni1dVUvPAi2x58EPeokQx4/HHseXltfHqlVAt0vtaIUg2kvC9W\nRJzAycCLyUOPAUNJdMdvAR5s7DpjzJPGmInGmIn5+U1tQdx20VCwPn85QOnG9QiGg4fksnRjJdf+\ncym3/+tbps+tpsqRA4Fdvntgy8wk6/TT6Xv/fbhHj252MAeIxCN8Xbr9/l+VftXoeTafj6wfncGw\nDz9gwJNPajBXSqWciMzv6Dqo5tsbg6snkGidFwEYY4qMMbHk/sBPAQfthTo0yelJY/xxJ9W/H3n4\nUdjsduJxw7dbt09YW1MWIpzWGxxNzxa3WhDI6/icPn550C+xW3YKMwqZOnBqk+fafD4c+fnYc3Ja\nfB+llGouEbEDGGMO6+i6qOZLeZe7iPwDeMsY87fk+wJjzJbk6+uAg40xZ+2ujFSnTw3V1hCo8hMJ\nhfBmZZOWkVjvvbGslotmfIY/GOHJH49jTHYcmzcb7O27n3kgEqA6Wo2FRa5Hx7uV6qRa3eVe+Ks3\nfgzcDQwE1gM3r733e8+1qTIirwIDADfwiDHmSRGpJtELeiKJHtCbSSRbGQhca4yZk5ykfC8wmUS6\n1T8ZY54QkcnAnUA5MNIYM1xEqus2lBGRm4BzgTjwpjHmVyJyGYmhUSewEjjPGKPLajpISgO6iHhJ\n/OMdYoypTB57hkR3uwHWAj+pC/BN2dv50BsqqQoRC4exf/A2NkvwTTkae3bWni/cS8qCZcRNnGxX\nNjar+WvVlVIt1qqAngzmTwEN92euBS5rS1AXkRxjTJmIeEhs63oUUAKcaIx5U0ReAbzA90hkY5tp\njBmfnJ/UyxhzV3Kr2I+AM4BBwBvAmLoMbXUBXUROAG4jkaK1tsG9c40xpclz7wKKjDF/aO0zqbZJ\n6Sx3Y0wNkLvTsfNSec/2lhWpYcNPf0pw+XIA+j30EBknnpCSe8XihoraME67tdtlcnWKaoq49sNr\nqQhW8MBRDzAqZ5QGdaU6n7vZMZiTfH830JZW+tUiclry9QAS+dHDwH+Sx5YDIWNMRESWA4XJ48cC\n40Tk9OT7zAbXftog3WpD04C/1bW+jTFlyeNjkoE8C/ABb7XheVQb6QJloDRQyuzvZjN/08eU1u40\n6S0WI1paWv82sq0oJXWIxeKs2FzJhX/7jJtnL6ekOrTHa5796lm+KPmCjdUbmT5/OpXh1KRQVUq1\nycAWHt+jZPf4NOBQY8x+JLZ1dQMRs73bNU4y/WlyzlJdA06AnzdItzrYGPN28rOmd6xq3AzgZ8aY\nscBvknVQHaTHB/SKUAW3fnQrd8y/g5+8ezkfb1pIcVWw/nNbdjb9HnoQ59CheI+aROZJJ+2mtNYr\nrQ1zxbOLWb6pkteXbeGtFVv3eM3gzMH1rwekD8BhtXxSnlIq5da38HhzZALlye7vkcAhLbj2LeAK\nEXEAiMjw5PDo7rwDXCQiaclr6mbmpgNbkmWd06InUO2ux+/lHo1HWVu5tv79dxUr+Xr1AC6fNJQM\njwOx2/GMGcOgmTMQh2OHBCnNvkdZGSYWw3K7saU3nhXNEiErzcGmikQK1p33gm/M0QOOxneUj5JA\nCccVHle/IY1SqlO5mcbH0G9uQ5n/AX4qIl+RyHv+SQuu/QuJ7vfFySxsxcCpu7vAGPMfERkPLBSR\nMPBvEvW/DViQLGMBiQCvOshe2VimrVI5KS4Si7CoaBE3zb2J3mm9ufmAB3jqgxLu/eG4Zo1j70m0\ntJSNV19DYOlSci+/nNwLL2jyS8HmigBP/W81+/T2ccKYArK9ew7qSqm9plPNcldqZz0+oAOEY2FK\nastZUxLg7WXVXDF5KH0y2yflaPX8j9lw8cX174d98D6OgoJ2KVsptVfpTnGqU+tZXe7VxbBtRWJP\n9pwh4E3stua0Oemb3ptcT4wJ/cHjaL+Z4s5+fRPJUeJx7L1775oqNUUi0TjhWByvq2f9J1ZKqZ6q\n2/62r63ys+mrFZh4nP6jx5Bmi8A/z4UNyaGmAy+FadPBtX3Ix2Vv/yVf9vx8Br8ym8Dy5fgOPxx7\nCrexrVNWE+apuav5ZmsVvz5hJEPzfViWNi6UUqo765YBPR6Ps+ztf/PRC88CcODJP+Sw75+IfUOD\neSOLZ8KkX+4Q0APhKKU1YYr8IQblppHna/uOcFZaGu4RI3CPGNHmsprro5UlPPZhIjPbt0VVvHLl\nYeSn62oSpZTqzrpnQI9GKFq7qv79tnVriMUt7Gk5EKjAf/R9VBUeiz3mIzcWx25LrN5bXxbge4/O\nJRo3HDw4h8fOPYAcnZimlFKqC+iWAd3udHHEWedTtOo74vE4R51zEU5fNlz8FjVrFzOrchz3/WkF\nPpedV686jGG9Eq30z9aWEY0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6X9TR9eos9kYL/QRgsTGmbv/SIhEpaNDlvm0317aZZQn9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\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7ff2084df3c8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "7Fna-Eynhu0l",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "** Analyze Outliers **"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "BRnpx4orh61h",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "# sns.relplot(x='income', y='lifespan', hue='region', sizes='population_total', data=now);"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "FPkRr-BrleCr",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 173
+        },
+        "outputId": "32f205cb-62e5-4da4-909a-a461739e5b06"
+      },
+      "cell_type": "code",
+      "source": [
+        "now[now['income'] > 80000]"
+      ],
+      "execution_count": 57,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>22910</th>\n",
+              "      <td>2018</td>\n",
+              "      <td>99034</td>\n",
+              "      <td>82.39</td>\n",
+              "      <td>590321</td>\n",
+              "      <td>Luxembourg</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>23348</th>\n",
+              "      <td>2018</td>\n",
+              "      <td>97057</td>\n",
+              "      <td>83.24</td>\n",
+              "      <td>632418</td>\n",
+              "      <td>Macao, China</td>\n",
+              "      <td>east_asia_pacific</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>31498</th>\n",
+              "      <td>2018</td>\n",
+              "      <td>121033</td>\n",
+              "      <td>80.71</td>\n",
+              "      <td>2694849</td>\n",
+              "      <td>Qatar</td>\n",
+              "      <td>middle_east_north_africa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>33031</th>\n",
+              "      <td>2018</td>\n",
+              "      <td>83888</td>\n",
+              "      <td>84.03</td>\n",
+              "      <td>5791901</td>\n",
+              "      <td>Singapore</td>\n",
+              "      <td>east_asia_pacific</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "       year  income  lifespan  population_total       country  \\\n",
+              "22910  2018   99034     82.39            590321    Luxembourg   \n",
+              "23348  2018   97057     83.24            632418  Macao, China   \n",
+              "31498  2018  121033     80.71           2694849         Qatar   \n",
+              "33031  2018   83888     84.03           5791901     Singapore   \n",
+              "\n",
+              "                         region  \n",
+              "22910       europe_central_asia  \n",
+              "23348         east_asia_pacific  \n",
+              "31498  middle_east_north_africa  \n",
+              "33031         east_asia_pacific  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 57
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "u5iwUip3nE1v",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1072
+        },
+        "outputId": "00cdaba1-2a49-4975-da2d-010bedd9f3b9"
+      },
+      "cell_type": "code",
+      "source": [
+        "# Macao is considered a country\n",
+        "\n",
+        "entities[entities.name=='Macao, China'].T"
+      ],
+      "execution_count": 59,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>145</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>country</th>\n",
+              "      <td>mac</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>alt_5</th>\n",
+              "      <td>MACAU SPECIAL ADMINISTRATIVE REGION OF CHINA</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>alternative_1</th>\n",
+              "      <td>Macau</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>alternative_2</th>\n",
+              "      <td>Macao</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>alternative_3</th>\n",
+              "      <td>China, Macao SAR</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>alternative_4_cdiac</th>\n",
+              "      <td>Macau</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>arb1</th>\n",
+              "      <td>Macao SAR, China</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>arb2</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>arb3</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>arb4</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>arb5</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>arb6</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>g77_and_oecd_countries</th>\n",
+              "      <td>others</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>gapminder_list</th>\n",
+              "      <td>Macao, China</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>god_id</th>\n",
+              "      <td>MO</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>gwid</th>\n",
+              "      <td>i130</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>income_groups</th>\n",
+              "      <td>high_income</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>is--country</th>\n",
+              "      <td>True</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>iso3166_1_alpha2</th>\n",
+              "      <td>MO</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>iso3166_1_alpha3</th>\n",
+              "      <td>MAC</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>iso3166_1_numeric</th>\n",
+              "      <td>446</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>iso3166_2</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>landlocked</th>\n",
+              "      <td>coastline</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>latitude</th>\n",
+              "      <td>22.2006</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>longitude</th>\n",
+              "      <td>113.546</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>main_religion_2008</th>\n",
+              "      <td>eastern_religions</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>name</th>\n",
+              "      <td>Macao, China</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>pandg</th>\n",
+              "      <td>NaN</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>un_state</th>\n",
+              "      <td>False</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>unicode_region_subtag</th>\n",
+              "      <td>MO</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>upper_case_name</th>\n",
+              "      <td>MACAU</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>world_4region</th>\n",
+              "      <td>asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>world_6region</th>\n",
+              "      <td>east_asia_pacific</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "                                                                 145\n",
+              "country                                                          mac\n",
+              "alt_5                   MACAU SPECIAL ADMINISTRATIVE REGION OF CHINA\n",
+              "alternative_1                                                  Macau\n",
+              "alternative_2                                                  Macao\n",
+              "alternative_3                                       China, Macao SAR\n",
+              "alternative_4_cdiac                                            Macau\n",
+              "arb1                                                Macao SAR, China\n",
+              "arb2                                                             NaN\n",
+              "arb3                                                             NaN\n",
+              "arb4                                                             NaN\n",
+              "arb5                                                             NaN\n",
+              "arb6                                                             NaN\n",
+              "g77_and_oecd_countries                                        others\n",
+              "gapminder_list                                          Macao, China\n",
+              "god_id                                                            MO\n",
+              "gwid                                                            i130\n",
+              "income_groups                                            high_income\n",
+              "is--country                                                     True\n",
+              "iso3166_1_alpha2                                                  MO\n",
+              "iso3166_1_alpha3                                                 MAC\n",
+              "iso3166_1_numeric                                                446\n",
+              "iso3166_2                                                        NaN\n",
+              "landlocked                                                 coastline\n",
+              "latitude                                                     22.2006\n",
+              "longitude                                                    113.546\n",
+              "main_religion_2008                                 eastern_religions\n",
+              "name                                                    Macao, China\n",
+              "pandg                                                            NaN\n",
+              "un_state                                                       False\n",
+              "unicode_region_subtag                                             MO\n",
+              "upper_case_name                                                MACAU\n",
+              "world_4region                                                   asia\n",
+              "world_6region                                      east_asia_pacific"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 59
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "AEVEtTa9nKxS",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 51
+        },
+        "outputId": "12a9bd6c-e7d3-4ba4-fc0e-ed4c60fd7403"
+      },
+      "cell_type": "code",
+      "source": [
+        "qatar = now[now['country']=='Qatar']\n",
+        "qatar.income"
+      ],
+      "execution_count": 60,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "31498    121033\n",
+              "Name: income, dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 60
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "rvy9W0hDn47v",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "635fbae4-82c7-4c83-cdb4-ebe73ed24d45"
+      },
+      "cell_type": "code",
+      "source": [
+        "qatar.income.values"
+      ],
+      "execution_count": 61,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "array([121033])"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 61
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "3oGHpVoGn9tI",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "3ca97df1-1e4a-44ea-ebf5-c502b0dc6478"
+      },
+      "cell_type": "code",
+      "source": [
+        "qatar.income.values[0]"
+      ],
+      "execution_count": 62,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "121033"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 62
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "Qnt-ikfIoEwI",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "qatar_income = qatar.income.values[0]\n",
+        "qatar_lifespan = qatar.lifespan.values[0]"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "Dlq--hyPoPu0",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 382
+        },
+        "outputId": "76c9f84b-63e9-4998-f9c8-c1eb8ff2661c"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.relplot(x=\"income\", y=\"lifespan\", hue='region', size='population_total', data=now)\n",
+        "\n",
+        "plt.text(x=qatar_income, y=qatar_lifespan, s='Qatar')\n",
+        "plt.title('Qatar has the highest incomes in 2018');"
+      ],
+      "execution_count": 66,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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8wF0fLcXStWv1NnE4EHvDSomRsjKKp0xl/VlnU/C/fyVSUtJs19FRNNfjiJqm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\nRK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7fce9da45f60>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "939njU00hqKC",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Plot Multiple Years**"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "oAOR05BRpUBj",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "7c6191ca-b918-42a7-eab4-489c349532fa"
+      },
+      "cell_type": "code",
+      "source": [
+        "years = [1818, 1918, 2018]\n",
+        "\n",
+        "centuries = df[df.year.isin(years)]\n",
+        "\n",
+        "centuries.sample(5)"
+      ],
+      "execution_count": 69,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>26480</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>351</td>\n",
+              "      <td>30.30</td>\n",
+              "      <td>737000</td>\n",
+              "      <td>Malawi</td>\n",
+              "      <td>sub_saharan_africa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>11966</th>\n",
+              "      <td>2018</td>\n",
+              "      <td>29457</td>\n",
+              "      <td>77.66</td>\n",
+              "      <td>1306788</td>\n",
+              "      <td>Estonia</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25147</th>\n",
+              "      <td>2018</td>\n",
+              "      <td>37938</td>\n",
+              "      <td>81.75</td>\n",
+              "      <td>432089</td>\n",
+              "      <td>Malta</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>31517</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>817</td>\n",
+              "      <td>35.70</td>\n",
+              "      <td>6293216</td>\n",
+              "      <td>Romania</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>38306</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>998</td>\n",
+              "      <td>28.30</td>\n",
+              "      <td>2010991</td>\n",
+              "      <td>Taiwan</td>\n",
+              "      <td>east_asia_pacific</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "       year  income  lifespan  population_total  country               region\n",
+              "26480  1818     351     30.30            737000   Malawi   sub_saharan_africa\n",
+              "11966  2018   29457     77.66           1306788  Estonia  europe_central_asia\n",
+              "25147  2018   37938     81.75            432089    Malta  europe_central_asia\n",
+              "31517  1818     817     35.70           6293216  Romania  europe_central_asia\n",
+              "38306  1818     998     28.30           2010991   Taiwan    east_asia_pacific"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 69
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "HAVTSzB4pnCj",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 373
+        },
+        "outputId": "9d4e6245-d944-47c7-aaf0-8af94d6dc77e"
+      },
+      "cell_type": "code",
+      "source": [
+        "sns.relplot(x=\"income\", y=\"lifespan\", hue='region', size='population_total',\n",
+        "            col='year', data=centuries)\n",
+        "\n",
+        "plt.xscale('log');"
+      ],
+      "execution_count": 71,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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9gvTetRdH3vomOQt/n7GQZ8/ehZqDjiV059/WGUTbvl8Rr12wN9FUlopCH0Ff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\nIiKSls4H2ptUNiOx/9RevN4Q5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5REExERERERERER6YCSaCIiIiIiIiIiIh1Q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\nERERERER6cD/B5ywcfLkEn4AAAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7fce9d7c6748>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "W73yvTLerXbF",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 102
+        },
+        "outputId": "978120a4-eec6-4620-9a40-b848d99eb503"
+      },
+      "cell_type": "code",
+      "source": [
+        "# Consistent number of countries per year?\n",
+        "\n",
+        "centuries.groupby('year').country.count()"
+      ],
+      "execution_count": 72,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "year\n",
+              "1818    190\n",
+              "1918    190\n",
+              "2018    188\n",
+              "Name: country, dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 72
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "u_OoJwRUrnK4",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 85
+        },
+        "outputId": "94e2348a-6ce7-4ef2-a56b-13f872a9e449"
+      },
+      "cell_type": "code",
+      "source": [
+        "years_per_country = centuries.groupby('country').year.count()\n",
+        "years_per_country[years_per_country < 3]"
+      ],
+      "execution_count": 73,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "country\n",
+              "Greenland    2\n",
+              "Taiwan       2\n",
+              "Name: year, dtype: int64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 73
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "YfhrtknQh3bp",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Point Out Story**"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "mJIBB2U9sIg-",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 2173
+        },
+        "outputId": "8f57b2cb-5c23-453b-85b3-9cd67550b404"
+      },
+      "cell_type": "code",
+      "source": [
+        "years = [1918, 1938, 1958, 1978, 1988, 2018]\n",
+        "\n",
+        "subset = df[df.year.isin(years)]\n",
+        "\n",
+        "sns.relplot(x='income', y='lifespan', hue='region', size='population_total',\n",
+        "           row='year', data=subset)\n",
+        "\n",
+        "plt.xscale('log')\n",
+        "plt.xlim((150, 150000));"
+      ],
+      "execution_count": 75,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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t9vPhcprO7ZrWGNFk+zrn0WQaZ9Vwnv3cNQzK91HgyWNfrqnmczuZOqyQqcM0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GSX1q6Bboxxkw7zf1prX2jeXGaM6da8vxtQ3p51EBER2R205yh3AzwKfG2tvWO9Xa8A5zV/fx7w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Kr9KLdeQIAAxpaZj792/xNYxmM/1HjeGix55j5iNPk9F/IOGAn6qyUkL+KoQm6iT4sDqMaM3s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GDknhNY862TGTD9WAYPH0ewehBh3MTCcW579VOW1Ib48ddH07fUh2u9oWUuh4FUBlwuvCNH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\ngP8POY9w9nkCsB4AAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7fce9bbb4f60>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "l4jH8zWmtEi1",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "7bcf9c03-eaad-4b3a-bc44-ef72f52d93ce"
+      },
+      "cell_type": "code",
+      "source": [
+        "years"
+      ],
+      "execution_count": 76,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "[1918, 1938, 1958, 1978, 1988, 2018]"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 76
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ScmaCq5hh2Nq",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 2231
+        },
+        "outputId": "4a1a6b2c-2741-43e6-acad-d317425d6cf9"
+      },
+      "cell_type": "code",
+      "source": [
+        "for year in years:\n",
+        "  \n",
+        "\n",
+        "  sns.relplot(x='income', y='lifespan', hue='region', size='population_total',\n",
+        "            data=df[df.year==year])\n",
+        "\n",
+        "  plt.xscale('log')\n",
+        "  plt.xlim((150, 150000));\n",
+        "  plt.ylim((20, 90))\n",
+        "  plt.title(year)\n",
+        "  plt.axhline(y=50, color='grey');"
+      ],
+      "execution_count": 77,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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Sxkt6MGWh27eD7SWVp92z3M3MrM9JqoiI5iKfZgowo6N87JLKSy1Pu3voZmZFtuu0XT+2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\nj9lt3dvS1NXBPpgGTARuBb6rlJLfw07QkT7QWp9IdlUD2Lu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+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7fce9d66b550>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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vmxyH1wM9xuWXb+/y7+wfqvobt/9B4Djg/8VxvQERb0B/TkSOUdXnk1obk5Ik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\nwRsXcPnsyykNlXZIPUmTpDRUSkmslsShVxDPzufJpU9RHa0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+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7fce9d651a58>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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15WUsmz2DnJ69KOg/gGCChDW+vFzqIzFWr65iYI8MyC/AH66k6Mor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\nUkolAQ3oSimlVBLQgK6UUkolgf8PHEaY1mGVeccAAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7fce9bd08588>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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G1TnFwmFqZsxg802/A6uV3k88jmXsQcz8sYS7/7uMkT3T+dPJw0mtraX2668B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\nY4xJAlbQjTHGmCTw/0aaUJ/zY31PAAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7fce9bd66eb8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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+sg/9O2XwzbJS4glDhtPOsk1+DhuWi81hobo0SO38cr68YSzBaJx8n4Mzb72d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\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7fce9b9744a8>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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A1WFw4AnF/PB5GQOGezGXl2IqKKQmXMufZv+J/234H6cOOpVrx15L/p9vxOTx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\niTGeqdw9daQAAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7fce9b8ebc88>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "m1tRaL9gtUS6",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 173
+        },
+        "outputId": "7d2f1e5a-42fa-4316-dd0c-489313d33e38"
+      },
+      "cell_type": "code",
+      "source": [
+        "df[(df.year==1918) & (df.lifespan >= 50)]"
+      ],
+      "execution_count": 78,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>1917</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>7610</td>\n",
+              "      <td>54.95</td>\n",
+              "      <td>5066003</td>\n",
+              "      <td>Australia</td>\n",
+              "      <td>east_asia_pacific</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10333</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>6393</td>\n",
+              "      <td>56.24</td>\n",
+              "      <td>3165276</td>\n",
+              "      <td>Denmark</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>18211</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>2576</td>\n",
+              "      <td>51.11</td>\n",
+              "      <td>115504</td>\n",
+              "      <td>Iceland</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>28113</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>4479</td>\n",
+              "      <td>50.28</td>\n",
+              "      <td>2576646</td>\n",
+              "      <td>Norway</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "       year  income  lifespan  population_total    country  \\\n",
+              "1917   1918    7610     54.95           5066003  Australia   \n",
+              "10333  1918    6393     56.24           3165276    Denmark   \n",
+              "18211  1918    2576     51.11            115504    Iceland   \n",
+              "28113  1918    4479     50.28           2576646     Norway   \n",
+              "\n",
+              "                    region  \n",
+              "1917     east_asia_pacific  \n",
+              "10333  europe_central_asia  \n",
+              "18211  europe_central_asia  \n",
+              "28113  europe_central_asia  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 78
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "fphorKrhuCo2",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 49
+        },
+        "outputId": "d879ddda-81b2-4bfd-e564-301d056fb1be"
+      },
+      "cell_type": "code",
+      "source": [
+        "df[(df.year==2018) & (df.lifespan <= 50)]"
+      ],
+      "execution_count": 79,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "Empty DataFrame\n",
+              "Columns: [year, income, lifespan, population_total, country, region]\n",
+              "Index: []"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 79
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "cHE3QBDMtsmj",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Today no countries with lifespans below 50 years**"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "JlhqaFmFujOE",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Interactivity**"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "UXpiVhBduOlm",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        ""
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "Sj1nWNZZFuqq",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "# Assignment Exploring Gapminder\n"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "dZqyIk1daA7b",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "**Please skip to the bottom for the plots and rationale for my plots.**"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "0TNLBT1QH8Pq",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "5b8914b3-b9be-498c-d7c2-98dfb41117ff"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.head()"
+      ],
+      "execution_count": 42,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>1800</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>1801</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>1802</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>1803</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>1804</td>\n",
+              "      <td>833</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19286</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "   year  income  lifespan  population_total country   region\n",
+              "0  1800     833     34.42             19286   Aruba  america\n",
+              "1  1801     833     34.42             19286   Aruba  america\n",
+              "2  1802     833     34.42             19286   Aruba  america\n",
+              "3  1803     833     34.42             19286   Aruba  america\n",
+              "4  1804     833     34.42             19286   Aruba  america"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 42
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "uvU0jA_TH-e7",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "d137fd4b-c9b8-4356-bc19-a6013206fab2"
+      },
+      "cell_type": "code",
+      "source": [
+        "df.shape"
+      ],
+      "execution_count": 43,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(41790, 6)"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 43
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "u4cn44CeIJ11",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "b7eda20f-baac-4d2c-9c3d-b410574aa8a8"
+      },
+      "cell_type": "code",
+      "source": [
+        "years = [1818, 1918, 2018]\n",
+        "\n",
+        "centuries_1 = df[df['year'].isin(years)]\n",
+        "\n",
+        "centuries_1.head()"
+      ],
+      "execution_count": 44,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>18</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>835</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19462</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>118</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>1765</td>\n",
+              "      <td>22.32</td>\n",
+              "      <td>32202</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>218</th>\n",
+              "      <td>2018</td>\n",
+              "      <td>39219</td>\n",
+              "      <td>76.14</td>\n",
+              "      <td>105670</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>237</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>604</td>\n",
+              "      <td>28.03</td>\n",
+              "      <td>3308390</td>\n",
+              "      <td>Afghanistan</td>\n",
+              "      <td>south_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>337</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>849</td>\n",
+              "      <td>7.89</td>\n",
+              "      <td>5704092</td>\n",
+              "      <td>Afghanistan</td>\n",
+              "      <td>south_asia</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "     year  income  lifespan  population_total      country      region\n",
+              "18   1818     835     34.42             19462        Aruba     america\n",
+              "118  1918    1765     22.32             32202        Aruba     america\n",
+              "218  2018   39219     76.14            105670        Aruba     america\n",
+              "237  1818     604     28.03           3308390  Afghanistan  south_asia\n",
+              "337  1918     849      7.89           5704092  Afghanistan  south_asia"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 44
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ng28duZHJcNZ",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "856594b3-2df5-4630-8e65-ea403a0512c7"
+      },
+      "cell_type": "code",
+      "source": [
+        "print(\"Number of unique countries:\", len(centuries_1['country'].unique()))"
+      ],
+      "execution_count": 56,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "Number of unique countries: 190\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "2XHaE89MJV8c",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 34
+        },
+        "outputId": "c8a20469-200e-4a07-ccd6-6ed1e09e054d"
+      },
+      "cell_type": "code",
+      "source": [
+        "centuries_1.shape"
+      ],
+      "execution_count": 50,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(568, 6)"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 50
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "IQEyC35hJN_w",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "pd.options.display.float_format = '{:.2f}'.format"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "DVEevNSAIiG2",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 170
+        },
+        "outputId": "db5c7790-f2d7-4902-ef4b-0d1dcf1bf506"
+      },
+      "cell_type": "code",
+      "source": [
+        "centuries_1['population_total'].describe()"
+      ],
+      "execution_count": 58,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "count          568.00\n",
+              "mean      18456229.98\n",
+              "std       90761207.36\n",
+              "min           2207.00\n",
+              "25%         431849.25\n",
+              "50%        2125373.00\n",
+              "75%        8835956.00\n",
+              "max     1415045928.00\n",
+              "Name: population_total, dtype: float64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 58
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "hTqPONxNLSc3",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 170
+        },
+        "outputId": "e2c78397-ee50-4bd6-81f9-3d5ac934df44"
+      },
+      "cell_type": "code",
+      "source": [
+        "df['population_total'].describe()"
+      ],
+      "execution_count": 61,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "count        41790.00\n",
+              "mean      13325504.93\n",
+              "std       65023488.34\n",
+              "min           2128.00\n",
+              "25%         376028.25\n",
+              "50%        1915244.00\n",
+              "75%        6260146.75\n",
+              "max     1415045928.00\n",
+              "Name: population_total, dtype: float64"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 61
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "MUdYeelQOBGe",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 297
+        },
+        "outputId": "73b6af2f-30c5-4cfd-fe0b-0c489b4ca310"
+      },
+      "cell_type": "code",
+      "source": [
+        "# The mean population totals for the year 1918 = 9709630.25\n",
+        "\n",
+        "df[df['year']==1818].describe()"
+      ],
+      "execution_count": 81,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>190.00</td>\n",
+              "      <td>190.00</td>\n",
+              "      <td>190.00</td>\n",
+              "      <td>190.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>958.64</td>\n",
+              "      <td>31.64</td>\n",
+              "      <td>5443461.50</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>0.00</td>\n",
+              "      <td>501.87</td>\n",
+              "      <td>4.60</td>\n",
+              "      <td>30133081.50</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>351.00</td>\n",
+              "      <td>5.50</td>\n",
+              "      <td>2207.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>616.25</td>\n",
+              "      <td>29.12</td>\n",
+              "      <td>140473.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>857.50</td>\n",
+              "      <td>31.80</td>\n",
+              "      <td>755085.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>1107.50</td>\n",
+              "      <td>34.05</td>\n",
+              "      <td>2176978.25</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>3829.00</td>\n",
+              "      <td>46.75</td>\n",
+              "      <td>374161494.00</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "         year  income  lifespan  population_total\n",
+              "count  190.00  190.00    190.00            190.00\n",
+              "mean  1818.00  958.64     31.64        5443461.50\n",
+              "std      0.00  501.87      4.60       30133081.50\n",
+              "min   1818.00  351.00      5.50           2207.00\n",
+              "25%   1818.00  616.25     29.12         140473.00\n",
+              "50%   1818.00  857.50     31.80         755085.00\n",
+              "75%   1818.00 1107.50     34.05        2176978.25\n",
+              "max   1818.00 3829.00     46.75      374161494.00"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 81
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "xkFAblVmKgCS",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "# df[(df.year==1918) & (df.lifespan >= 50)]"
+      ],
+      "execution_count": 0,
+      "outputs": []
+    },
+    {
+      "metadata": {
+        "id": "z5qoDfgfLej8",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "8a6ec9be-285e-49fc-94da-64fb0174df78"
+      },
+      "cell_type": "code",
+      "source": [
+        "pop_above_mean_1818 = df[(df['year']==1818) & (df['population_total'] > 755085.00)]\n",
+        "pop_above_mean_1818.head()"
+      ],
+      "execution_count": 102,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>237</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>604</td>\n",
+              "      <td>28.03</td>\n",
+              "      <td>3308390</td>\n",
+              "      <td>Afghanistan</td>\n",
+              "      <td>south_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>456</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>668</td>\n",
+              "      <td>26.98</td>\n",
+              "      <td>1586896</td>\n",
+              "      <td>Angola</td>\n",
+              "      <td>sub_saharan_africa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2036</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>1986</td>\n",
+              "      <td>34.40</td>\n",
+              "      <td>3366878</td>\n",
+              "      <td>Austria</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2255</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>778</td>\n",
+              "      <td>29.17</td>\n",
+              "      <td>894149</td>\n",
+              "      <td>Azerbaijan</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2474</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>425</td>\n",
+              "      <td>31.50</td>\n",
+              "      <td>911278</td>\n",
+              "      <td>Burundi</td>\n",
+              "      <td>sub_saharan_africa</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "      year  income  lifespan  population_total      country  \\\n",
+              "237   1818     604     28.03           3308390  Afghanistan   \n",
+              "456   1818     668     26.98           1586896       Angola   \n",
+              "2036  1818    1986     34.40           3366878      Austria   \n",
+              "2255  1818     778     29.17            894149   Azerbaijan   \n",
+              "2474  1818     425     31.50            911278      Burundi   \n",
+              "\n",
+              "                   region  \n",
+              "237            south_asia  \n",
+              "456    sub_saharan_africa  \n",
+              "2036  europe_central_asia  \n",
+              "2255  europe_central_asia  \n",
+              "2474   sub_saharan_africa  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 102
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "etIyfOewMy1R",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 297
+        },
+        "outputId": "0a070b1e-004d-4c66-c60e-93c255116af8"
+      },
+      "cell_type": "code",
+      "source": [
+        "pop_above_mean_1818.describe()"
+      ],
+      "execution_count": 100,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>95.00</td>\n",
+              "      <td>95.00</td>\n",
+              "      <td>95.00</td>\n",
+              "      <td>95.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>1072.63</td>\n",
+              "      <td>31.90</td>\n",
+              "      <td>10657742.86</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>0.00</td>\n",
+              "      <td>618.69</td>\n",
+              "      <td>5.41</td>\n",
+              "      <td>42079231.20</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>395.00</td>\n",
+              "      <td>5.50</td>\n",
+              "      <td>763170.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>642.00</td>\n",
+              "      <td>29.04</td>\n",
+              "      <td>1251541.50</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>906.00</td>\n",
+              "      <td>31.60</td>\n",
+              "      <td>2180375.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>1306.50</td>\n",
+              "      <td>35.65</td>\n",
+              "      <td>5086240.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>3829.00</td>\n",
+              "      <td>46.75</td>\n",
+              "      <td>374161494.00</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "         year  income  lifespan  population_total\n",
+              "count   95.00   95.00     95.00             95.00\n",
+              "mean  1818.00 1072.63     31.90       10657742.86\n",
+              "std      0.00  618.69      5.41       42079231.20\n",
+              "min   1818.00  395.00      5.50         763170.00\n",
+              "25%   1818.00  642.00     29.04        1251541.50\n",
+              "50%   1818.00  906.00     31.60        2180375.00\n",
+              "75%   1818.00 1306.50     35.65        5086240.00\n",
+              "max   1818.00 3829.00     46.75      374161494.00"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 100
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "e6qjc9KvM5sM",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "733332e8-5725-4bac-d0b4-e8bf563eb45a"
+      },
+      "cell_type": "code",
+      "source": [
+        "pop_below_mean_1818 = df[(df['year']==1818) & (df['population_total'] < 755085.00)]\n",
+        "pop_below_mean_1818.head()"
+      ],
+      "execution_count": 101,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>18</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>835</td>\n",
+              "      <td>34.42</td>\n",
+              "      <td>19462</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>675</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>669</td>\n",
+              "      <td>35.40</td>\n",
+              "      <td>435384</td>\n",
+              "      <td>Albania</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>941</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>1067</td>\n",
+              "      <td>30.70</td>\n",
+              "      <td>40153</td>\n",
+              "      <td>United Arab Emirates</td>\n",
+              "      <td>middle_east_north_africa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1160</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>1511</td>\n",
+              "      <td>33.20</td>\n",
+              "      <td>557637</td>\n",
+              "      <td>Argentina</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1379</th>\n",
+              "      <td>1818</td>\n",
+              "      <td>515</td>\n",
+              "      <td>34.00</td>\n",
+              "      <td>419962</td>\n",
+              "      <td>Armenia</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "      year  income  lifespan  population_total               country  \\\n",
+              "18    1818     835     34.42             19462                 Aruba   \n",
+              "675   1818     669     35.40            435384               Albania   \n",
+              "941   1818    1067     30.70             40153  United Arab Emirates   \n",
+              "1160  1818    1511     33.20            557637             Argentina   \n",
+              "1379  1818     515     34.00            419962               Armenia   \n",
+              "\n",
+              "                        region  \n",
+              "18                     america  \n",
+              "675        europe_central_asia  \n",
+              "941   middle_east_north_africa  \n",
+              "1160                   america  \n",
+              "1379       europe_central_asia  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 101
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "rUO1f2HuNXK_",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 297
+        },
+        "outputId": "26dabbbc-30cc-4e4f-b71a-1da96755494e"
+      },
+      "cell_type": "code",
+      "source": [
+        "pop_below_mean_1818.describe()"
+      ],
+      "execution_count": 103,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>95.00</td>\n",
+              "      <td>95.00</td>\n",
+              "      <td>95.00</td>\n",
+              "      <td>95.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>844.64</td>\n",
+              "      <td>31.37</td>\n",
+              "      <td>229180.14</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>0.00</td>\n",
+              "      <td>312.06</td>\n",
+              "      <td>3.62</td>\n",
+              "      <td>217164.42</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>351.00</td>\n",
+              "      <td>23.94</td>\n",
+              "      <td>2207.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>601.50</td>\n",
+              "      <td>29.15</td>\n",
+              "      <td>56856.50</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>835.00</td>\n",
+              "      <td>31.90</td>\n",
+              "      <td>139941.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>997.00</td>\n",
+              "      <td>33.37</td>\n",
+              "      <td>379301.50</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>1818.00</td>\n",
+              "      <td>1762.00</td>\n",
+              "      <td>43.48</td>\n",
+              "      <td>747000.00</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "         year  income  lifespan  population_total\n",
+              "count   95.00   95.00     95.00             95.00\n",
+              "mean  1818.00  844.64     31.37         229180.14\n",
+              "std      0.00  312.06      3.62         217164.42\n",
+              "min   1818.00  351.00     23.94           2207.00\n",
+              "25%   1818.00  601.50     29.15          56856.50\n",
+              "50%   1818.00  835.00     31.90         139941.00\n",
+              "75%   1818.00  997.00     33.37         379301.50\n",
+              "max   1818.00 1762.00     43.48         747000.00"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 103
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "lY_9lbriQLS9",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 297
+        },
+        "outputId": "2d4c8dd2-c084-4efb-a1ca-3333a32843ba"
+      },
+      "cell_type": "code",
+      "source": [
+        "df[df['year']==1918].describe()"
+      ],
+      "execution_count": 90,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>190.00</td>\n",
+              "      <td>190.00</td>\n",
+              "      <td>190.00</td>\n",
+              "      <td>190.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>2033.64</td>\n",
+              "      <td>23.00</td>\n",
+              "      <td>9709630.25</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>0.00</td>\n",
+              "      <td>1767.78</td>\n",
+              "      <td>10.84</td>\n",
+              "      <td>40183168.69</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>356.00</td>\n",
+              "      <td>1.09</td>\n",
+              "      <td>18185.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>893.50</td>\n",
+              "      <td>13.21</td>\n",
+              "      <td>403682.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>1433.00</td>\n",
+              "      <td>22.18</td>\n",
+              "      <td>1880693.50</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>2408.00</td>\n",
+              "      <td>28.98</td>\n",
+              "      <td>5076364.25</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>9434.00</td>\n",
+              "      <td>56.24</td>\n",
+              "      <td>462444535.00</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "         year  income  lifespan  population_total\n",
+              "count  190.00  190.00    190.00            190.00\n",
+              "mean  1918.00 2033.64     23.00        9709630.25\n",
+              "std      0.00 1767.78     10.84       40183168.69\n",
+              "min   1918.00  356.00      1.09          18185.00\n",
+              "25%   1918.00  893.50     13.21         403682.00\n",
+              "50%   1918.00 1433.00     22.18        1880693.50\n",
+              "75%   1918.00 2408.00     28.98        5076364.25\n",
+              "max   1918.00 9434.00     56.24      462444535.00"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 90
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ZzX8r3wlQUnk",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "c0adec5b-8e4e-46c1-d931-7b0874e7aaf1"
+      },
+      "cell_type": "code",
+      "source": [
+        "pop_above_mean_1918 = df[(df['year']==1918) & (df['population_total'] > 1880693.50)]\n",
+        "pop_above_mean_1918.head()"
+      ],
+      "execution_count": 93,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>337</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>849</td>\n",
+              "      <td>7.89</td>\n",
+              "      <td>5704092</td>\n",
+              "      <td>Afghanistan</td>\n",
+              "      <td>south_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>556</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>1174</td>\n",
+              "      <td>12.01</td>\n",
+              "      <td>3487015</td>\n",
+              "      <td>Angola</td>\n",
+              "      <td>sub_saharan_africa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1260</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>6595</td>\n",
+              "      <td>41.43</td>\n",
+              "      <td>8530833</td>\n",
+              "      <td>Argentina</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1917</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>7610</td>\n",
+              "      <td>54.95</td>\n",
+              "      <td>5066003</td>\n",
+              "      <td>Australia</td>\n",
+              "      <td>east_asia_pacific</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2136</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>5103</td>\n",
+              "      <td>32.41</td>\n",
+              "      <td>6643721</td>\n",
+              "      <td>Austria</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "      year  income  lifespan  population_total      country  \\\n",
+              "337   1918     849      7.89           5704092  Afghanistan   \n",
+              "556   1918    1174     12.01           3487015       Angola   \n",
+              "1260  1918    6595     41.43           8530833    Argentina   \n",
+              "1917  1918    7610     54.95           5066003    Australia   \n",
+              "2136  1918    5103     32.41           6643721      Austria   \n",
+              "\n",
+              "                   region  \n",
+              "337            south_asia  \n",
+              "556    sub_saharan_africa  \n",
+              "1260              america  \n",
+              "1917    east_asia_pacific  \n",
+              "2136  europe_central_asia  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 93
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "yYsHPOLQQuUE",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 297
+        },
+        "outputId": "8af129de-897d-40f1-b00e-bef6af084912"
+      },
+      "cell_type": "code",
+      "source": [
+        "pop_above_mean_1918.describe()"
+      ],
+      "execution_count": 94,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>95.00</td>\n",
+              "      <td>95.00</td>\n",
+              "      <td>95.00</td>\n",
+              "      <td>95.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>2428.23</td>\n",
+              "      <td>24.35</td>\n",
+              "      <td>18831279.03</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>0.00</td>\n",
+              "      <td>2102.24</td>\n",
+              "      <td>11.81</td>\n",
+              "      <td>55480371.30</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>418.00</td>\n",
+              "      <td>5.99</td>\n",
+              "      <td>1919380.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>997.50</td>\n",
+              "      <td>13.75</td>\n",
+              "      <td>3039878.50</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>1556.00</td>\n",
+              "      <td>23.21</td>\n",
+              "      <td>5078655.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>3259.50</td>\n",
+              "      <td>30.37</td>\n",
+              "      <td>11498267.50</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>9434.00</td>\n",
+              "      <td>56.24</td>\n",
+              "      <td>462444535.00</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "         year  income  lifespan  population_total\n",
+              "count   95.00   95.00     95.00             95.00\n",
+              "mean  1918.00 2428.23     24.35       18831279.03\n",
+              "std      0.00 2102.24     11.81       55480371.30\n",
+              "min   1918.00  418.00      5.99        1919380.00\n",
+              "25%   1918.00  997.50     13.75        3039878.50\n",
+              "50%   1918.00 1556.00     23.21        5078655.00\n",
+              "75%   1918.00 3259.50     30.37       11498267.50\n",
+              "max   1918.00 9434.00     56.24      462444535.00"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 94
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "RxC-IXupQ8n_",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 204
+        },
+        "outputId": "8b4cfef2-34c5-4fbe-e00a-57545013239f"
+      },
+      "cell_type": "code",
+      "source": [
+        "pop_below_mean_1918 = df[(df['year']==1918) & (df['population_total'] < 1880693.50)]\n",
+        "pop_below_mean_1918.head()"
+      ],
+      "execution_count": 95,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "      <th>country</th>\n",
+              "      <th>region</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>118</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>1765</td>\n",
+              "      <td>22.32</td>\n",
+              "      <td>32202</td>\n",
+              "      <td>Aruba</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>775</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>1478</td>\n",
+              "      <td>19.49</td>\n",
+              "      <td>953764</td>\n",
+              "      <td>Albania</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1041</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>1885</td>\n",
+              "      <td>26.17</td>\n",
+              "      <td>53790</td>\n",
+              "      <td>United Arab Emirates</td>\n",
+              "      <td>middle_east_north_africa</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1479</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>671</td>\n",
+              "      <td>26.14</td>\n",
+              "      <td>1006536</td>\n",
+              "      <td>Armenia</td>\n",
+              "      <td>europe_central_asia</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1698</th>\n",
+              "      <td>1918</td>\n",
+              "      <td>1604</td>\n",
+              "      <td>21.90</td>\n",
+              "      <td>30391</td>\n",
+              "      <td>Antigua and Barbuda</td>\n",
+              "      <td>america</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "      year  income  lifespan  population_total               country  \\\n",
+              "118   1918    1765     22.32             32202                 Aruba   \n",
+              "775   1918    1478     19.49            953764               Albania   \n",
+              "1041  1918    1885     26.17             53790  United Arab Emirates   \n",
+              "1479  1918     671     26.14           1006536               Armenia   \n",
+              "1698  1918    1604     21.90             30391   Antigua and Barbuda   \n",
+              "\n",
+              "                        region  \n",
+              "118                    america  \n",
+              "775        europe_central_asia  \n",
+              "1041  middle_east_north_africa  \n",
+              "1479       europe_central_asia  \n",
+              "1698                   america  "
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 95
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "ZpdEF5kpREmd",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 297
+        },
+        "outputId": "53fb1757-9e4a-4b2d-93d9-54cbce2e7877"
+      },
+      "cell_type": "code",
+      "source": [
+        "pop_below_mean_1918.describe()"
+      ],
+      "execution_count": 97,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/html": [
+              "<div>\n",
+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe tbody tr th {\n",
+              "        vertical-align: top;\n",
+              "    }\n",
+              "\n",
+              "    .dataframe thead th {\n",
+              "        text-align: right;\n",
+              "    }\n",
+              "</style>\n",
+              "<table border=\"1\" class=\"dataframe\">\n",
+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>year</th>\n",
+              "      <th>income</th>\n",
+              "      <th>lifespan</th>\n",
+              "      <th>population_total</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>count</th>\n",
+              "      <td>95.00</td>\n",
+              "      <td>95.00</td>\n",
+              "      <td>95.00</td>\n",
+              "      <td>95.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>mean</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>1639.04</td>\n",
+              "      <td>21.65</td>\n",
+              "      <td>587981.47</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>std</th>\n",
+              "      <td>0.00</td>\n",
+              "      <td>1244.66</td>\n",
+              "      <td>9.66</td>\n",
+              "      <td>548408.80</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>min</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>356.00</td>\n",
+              "      <td>1.09</td>\n",
+              "      <td>18185.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25%</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>832.50</td>\n",
+              "      <td>13.09</td>\n",
+              "      <td>109398.50</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>50%</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>1222.00</td>\n",
+              "      <td>21.88</td>\n",
+              "      <td>402582.00</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>75%</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>2218.00</td>\n",
+              "      <td>26.79</td>\n",
+              "      <td>946874.50</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>max</th>\n",
+              "      <td>1918.00</td>\n",
+              "      <td>8223.00</td>\n",
+              "      <td>51.11</td>\n",
+              "      <td>1842007.00</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>"
+            ],
+            "text/plain": [
+              "         year  income  lifespan  population_total\n",
+              "count   95.00   95.00     95.00             95.00\n",
+              "mean  1918.00 1639.04     21.65         587981.47\n",
+              "std      0.00 1244.66      9.66         548408.80\n",
+              "min   1918.00  356.00      1.09          18185.00\n",
+              "25%   1918.00  832.50     13.09         109398.50\n",
+              "50%   1918.00 1222.00     21.88         402582.00\n",
+              "75%   1918.00 2218.00     26.79         946874.50\n",
+              "max   1918.00 8223.00     51.11        1842007.00"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          },
+          "execution_count": 97
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "oeItYe5OVnf-",
+        "colab_type": "text"
+      },
+      "cell_type": "markdown",
+      "source": [
+        "# **The following plots show an interesting anomaly  where  it seems larger populations tend to cluster lifespans for many regions. **\n",
+        "\n",
+        "The first two plots are for the year 1818, where the first plot represents regions with populations below the 1818 median, and the second plot represents regions with populations above the 1818 median.  \n",
+        "\n",
+        "The third and fourth plots are for the year 1918, where the first plot again represents populatoiins below the 1918 median, and the second plot represents populations above the 1919 median.\n",
+        "\n",
+        "### Taken together, these plots lend support to the idea that larger populations require greater resources for sustainability and that might in turn affect life spans.  Hence, we see greater variability for those countries under the median for 1818.\n",
+        "\n",
+        "### Population seems to matter less in 1919, where it seems there's little difference between high-population countries and low population countries perhaps due to the effects of Influenza Epidemic, and WWI.\n"
+      ]
+    },
+    {
+      "metadata": {
+        "id": "0INck-H8NpEW",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 369
+        },
+        "outputId": "d4e3c7f9-3a9c-4e23-ef8a-23105e10d42e"
+      },
+      "cell_type": "code",
+      "source": [
+        "# population below mean for 1818\n",
+        "\n",
+        "sns.relplot(x='income', y='lifespan', hue='region', data=pop_below_mean_1818)\n",
+        "\n",
+        "plt.axhline(y=35, color='grey');"
+      ],
+      "execution_count": 116,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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TNunZnZ/FnZ7tZ8LJg1g0eyMaVHoOymTcCQPxJUU2H3e638e4gT348wXjEJws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\npSFN4EoppVQa0gSulFJKpaH/B/vb3PMtECgvAAAAAElFTkSuQmCC\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7ff20547c4e0>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "hq3QSdzlTtMT",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 369
+        },
+        "outputId": "24431128-1b7e-43e5-84c4-2ba1a1a638e9"
+      },
+      "cell_type": "code",
+      "source": [
+        "# population above mean for 1818\n",
+        "\n",
+        "sns.relplot(x='income', y='lifespan', hue='region', data=pop_above_mean_1818);\n",
+        "\n",
+        "plt.axhline(y=35, color='grey');"
+      ],
+      "execution_count": 117,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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zXqRltn2RWSwaZ/sPlbz/+GIqS4J06duTky98jazXJ0LZOghVYoxh44pKZjy3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\n6JIk9YAJXZKkHvg/XeTdm7y4LkQAAAAASUVORK5CYII=\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7ff20532fa58>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "nknSunWgSkqh",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 369
+        },
+        "outputId": "279085fa-26a7-4603-ecd6-438820f69a8f"
+      },
+      "cell_type": "code",
+      "source": [
+        "# population below the mean in 1918\n",
+        "\n",
+        "sns.relplot(x='income', y='lifespan', hue='region', data=pop_below_mean_1918);\n",
+        "\n",
+        "plt.axhline(y=35, color='grey');"
+      ],
+      "execution_count": 118,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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qsYjsDxwPXI4zvPD9Buel4YznT1TVb9yhgj3erzPFGtBLgWUi8ibOX+5xwMci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\nEYmA/wdmb8FWuMg7iwAAAABJRU5ErkJggg==\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7ff2052db780>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "t9ydtgWaUvRj",
+        "colab_type": "code",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 369
+        },
+        "outputId": "dbbdaf23-4235-4f6a-8fd8-44451930ab03"
+      },
+      "cell_type": "code",
+      "source": [
+        "# population above the mean in 1918\n",
+        "\n",
+        "sns.relplot(x='income', y='lifespan', hue='region', data=pop_above_mean_1918);\n",
+        "\n",
+        "plt.axhline(y=35, color='grey');"
+      ],
+      "execution_count": 119,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "image/png": 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fOIyCwX16CMkYYwasdCOaT0RGAJfi7LqTjhhwsrsEYDpwpojMAn4M/EJVJwJV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\n",
+            "text/plain": [
+              "<matplotlib.figure.Figure at 0x7ff2054f1b70>"
+            ]
+          },
+          "metadata": {
+            "tags": []
+          }
+        }
+      ]
+    },
+    {
+      "metadata": {
+        "id": "DlYJKsPvF0o6",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "cell_type": "code",
+      "source": [
+        "\"\"\"\n",
+        "sns.relplot(x='income', y='lifespan', hue='region', size='population_total', data=now);\n",
+        "\n",
+        "years = [1818, 1918, 2018]\n",
+        "\n",
+        "centuries = df[df.year.isin(years)]\n",
+        "\n",
+        "centuries.sample(5)\n",
+        "\"\"\""
+      ],
+      "execution_count": 0,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file