Investigate_a_Dataset.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Project: Investigate the TMDB Movies Dataset\n",
    "\n",
    "## Table of Contents\n",
    "<ul>\n",
    "<li><a href=\"#intro\">Introduction</a></li>\n",
    "<li><a href=\"#wrangling\">Data Wrangling</a></li>\n",
    "<li><a href=\"#eda\">Exploratory Data Analysis</a></li>\n",
    "<li><a href=\"#conclusions\">Conclusions</a></li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='intro'></a>\n",
    "## Introduction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import all the libraries\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='wrangling'></a>\n",
    "## Data Wrangling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# load the data\n",
    "\n",
    "df = pd.read_csv('tmdb-movies.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "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>id</th>\n",
       "      <th>imdb_id</th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>cast</th>\n",
       "      <th>homepage</th>\n",
       "      <th>director</th>\n",
       "      <th>tagline</th>\n",
       "      <th>...</th>\n",
       "      <th>overview</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>135397</td>\n",
       "      <td>tt0369610</td>\n",
       "      <td>32.985763</td>\n",
       "      <td>150000000</td>\n",
       "      <td>1513528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...</td>\n",
       "      <td>http://www.jurassicworld.com/</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>The park is open.</td>\n",
       "      <td>...</td>\n",
       "      <td>Twenty-two years after the events of Jurassic ...</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>1.392446e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>76341</td>\n",
       "      <td>tt1392190</td>\n",
       "      <td>28.419936</td>\n",
       "      <td>150000000</td>\n",
       "      <td>378436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...</td>\n",
       "      <td>http://www.madmaxmovie.com/</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>What a Lovely Day.</td>\n",
       "      <td>...</td>\n",
       "      <td>An apocalyptic story set in the furthest reach...</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Village Roadshow Pictures|Kennedy Miller Produ...</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>1.379999e+08</td>\n",
       "      <td>3.481613e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       id    imdb_id  popularity     budget     revenue      original_title  \\\n",
       "0  135397  tt0369610   32.985763  150000000  1513528810      Jurassic World   \n",
       "1   76341  tt1392190   28.419936  150000000   378436354  Mad Max: Fury Road   \n",
       "\n",
       "                                                cast  \\\n",
       "0  Chris Pratt|Bryce Dallas Howard|Irrfan Khan|Vi...   \n",
       "1  Tom Hardy|Charlize Theron|Hugh Keays-Byrne|Nic...   \n",
       "\n",
       "                        homepage         director             tagline  \\\n",
       "0  http://www.jurassicworld.com/  Colin Trevorrow   The park is open.   \n",
       "1    http://www.madmaxmovie.com/    George Miller  What a Lovely Day.   \n",
       "\n",
       "       ...                                                overview runtime  \\\n",
       "0      ...       Twenty-two years after the events of Jurassic ...     124   \n",
       "1      ...       An apocalyptic story set in the furthest reach...     120   \n",
       "\n",
       "                                      genres  \\\n",
       "0  Action|Adventure|Science Fiction|Thriller   \n",
       "1  Action|Adventure|Science Fiction|Thriller   \n",
       "\n",
       "                                production_companies release_date vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15       5562   \n",
       "1  Village Roadshow Pictures|Kennedy Miller Produ...      5/13/15       6185   \n",
       "\n",
       "   vote_average  release_year    budget_adj   revenue_adj  \n",
       "0           6.5          2015  1.379999e+08  1.392446e+09  \n",
       "1           7.1          2015  1.379999e+08  3.481613e+08  \n",
       "\n",
       "[2 rows x 21 columns]"
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f769922cfd0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# check the histogram for all columns to get an overview of the entire dataframe\n",
    "\n",
    "df.hist(figsize=(12,12));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10866 entries, 0 to 10865\n",
      "Data columns (total 21 columns):\n",
      "id                      10866 non-null int64\n",
      "imdb_id                 10856 non-null object\n",
      "popularity              10866 non-null float64\n",
      "budget                  10866 non-null int64\n",
      "revenue                 10866 non-null int64\n",
      "original_title          10866 non-null object\n",
      "cast                    10790 non-null object\n",
      "homepage                2936 non-null object\n",
      "director                10822 non-null object\n",
      "tagline                 8042 non-null object\n",
      "keywords                9373 non-null object\n",
      "overview                10862 non-null object\n",
      "runtime                 10866 non-null int64\n",
      "genres                  10843 non-null object\n",
      "production_companies    9836 non-null object\n",
      "release_date            10866 non-null object\n",
      "vote_count              10866 non-null int64\n",
      "vote_average            10866 non-null float64\n",
      "release_year            10866 non-null int64\n",
      "budget_adj              10866 non-null float64\n",
      "revenue_adj             10866 non-null float64\n",
      "dtypes: float64(4), int64(6), object(11)\n",
      "memory usage: 1.7+ MB\n"
     ]
    }
   ],
   "source": [
    "# Get an overview of the columns missing the values and also check the shape of the dataframe\n",
    "\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop columns which are not used for further analysis\n",
    "\n",
    "df.drop(['id','imdb_id','homepage','tagline','keywords','overview','cast'],axis=1,inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "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>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>director</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2090</th>\n",
       "      <td>0.59643</td>\n",
       "      <td>30000000</td>\n",
       "      <td>967000</td>\n",
       "      <td>TEKKEN</td>\n",
       "      <td>Dwight H. Little</td>\n",
       "      <td>92</td>\n",
       "      <td>Crime|Drama|Action|Thriller|Science Fiction</td>\n",
       "      <td>Namco|Light Song Films</td>\n",
       "      <td>3/20/10</td>\n",
       "      <td>110</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2010</td>\n",
       "      <td>30000000.0</td>\n",
       "      <td>967000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      popularity    budget  revenue original_title          director  runtime  \\\n",
       "2090     0.59643  30000000   967000         TEKKEN  Dwight H. Little       92   \n",
       "\n",
       "                                           genres    production_companies  \\\n",
       "2090  Crime|Drama|Action|Thriller|Science Fiction  Namco|Light Song Films   \n",
       "\n",
       "     release_date  vote_count  vote_average  release_year  budget_adj  \\\n",
       "2090      3/20/10         110           5.0          2010  30000000.0   \n",
       "\n",
       "      revenue_adj  \n",
       "2090     967000.0  "
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check for duplicates\n",
    "\n",
    "df[df.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop duplicates\n",
    "\n",
    "df.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 10865 entries, 0 to 10865\n",
      "Data columns (total 14 columns):\n",
      "popularity              10865 non-null float64\n",
      "budget                  10865 non-null int64\n",
      "revenue                 10865 non-null int64\n",
      "original_title          10865 non-null object\n",
      "director                10821 non-null object\n",
      "runtime                 10865 non-null int64\n",
      "genres                  10842 non-null object\n",
      "production_companies    9835 non-null object\n",
      "release_date            10865 non-null object\n",
      "vote_count              10865 non-null int64\n",
      "vote_average            10865 non-null float64\n",
      "release_year            10865 non-null int64\n",
      "budget_adj              10865 non-null float64\n",
      "revenue_adj             10865 non-null float64\n",
      "dtypes: float64(4), int64(5), object(5)\n",
      "memory usage: 1.2+ MB\n"
     ]
    }
   ],
   "source": [
    "# Check the data again\n",
    "\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "# divide the revenue, budget columns by 1000000\n",
    "# its easier to read million dollar values\n",
    "\n",
    "df.revenue = df.revenue/1000000\n",
    "df.budget = df.budget/1000000\n",
    "df.revenue_adj = df.revenue_adj/1000000\n",
    "df.budget_adj = df.budget_adj/1000000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='eda'></a>\n",
    "## Exploratory Data Analysis\n",
    "\n",
    "### Research Question 1. Top 5 Movies with the Highest Budget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "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>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>director</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32.985763</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1513.528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>1392.445893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28.419936</td>\n",
       "      <td>150.0</td>\n",
       "      <td>378.436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Village Roadshow Pictures|Kennedy Miller Produ...</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>348.161292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13.112507</td>\n",
       "      <td>110.0</td>\n",
       "      <td>295.238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Robert Schwentke</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Summit Entertainment|Mandeville Films|Red Wago...</td>\n",
       "      <td>3/18/15</td>\n",
       "      <td>2480</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>101.199955</td>\n",
       "      <td>271.619025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.173104</td>\n",
       "      <td>200.0</td>\n",
       "      <td>2068.178225</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>J.J. Abrams</td>\n",
       "      <td>136</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>Lucasfilm|Truenorth Productions|Bad Robot</td>\n",
       "      <td>12/15/15</td>\n",
       "      <td>5292</td>\n",
       "      <td>7.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>183.999919</td>\n",
       "      <td>1902.723130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9.335014</td>\n",
       "      <td>190.0</td>\n",
       "      <td>1506.249360</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>James Wan</td>\n",
       "      <td>137</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>Universal Pictures|Original Film|Media Rights ...</td>\n",
       "      <td>4/1/15</td>\n",
       "      <td>2947</td>\n",
       "      <td>7.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>174.799923</td>\n",
       "      <td>1385.748801</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   popularity  budget      revenue                original_title  \\\n",
       "0   32.985763   150.0  1513.528810                Jurassic World   \n",
       "1   28.419936   150.0   378.436354            Mad Max: Fury Road   \n",
       "2   13.112507   110.0   295.238201                     Insurgent   \n",
       "3   11.173104   200.0  2068.178225  Star Wars: The Force Awakens   \n",
       "4    9.335014   190.0  1506.249360                     Furious 7   \n",
       "\n",
       "           director  runtime                                     genres  \\\n",
       "0   Colin Trevorrow      124  Action|Adventure|Science Fiction|Thriller   \n",
       "1     George Miller      120  Action|Adventure|Science Fiction|Thriller   \n",
       "2  Robert Schwentke      119         Adventure|Science Fiction|Thriller   \n",
       "3       J.J. Abrams      136   Action|Adventure|Science Fiction|Fantasy   \n",
       "4         James Wan      137                      Action|Crime|Thriller   \n",
       "\n",
       "                                production_companies release_date  vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15        5562   \n",
       "1  Village Roadshow Pictures|Kennedy Miller Produ...      5/13/15        6185   \n",
       "2  Summit Entertainment|Mandeville Films|Red Wago...      3/18/15        2480   \n",
       "3          Lucasfilm|Truenorth Productions|Bad Robot     12/15/15        5292   \n",
       "4  Universal Pictures|Original Film|Media Rights ...       4/1/15        2947   \n",
       "\n",
       "   vote_average  release_year  budget_adj  revenue_adj  \n",
       "0           6.5          2015  137.999939  1392.445893  \n",
       "1           7.1          2015  137.999939   348.161292  \n",
       "2           6.3          2015  101.199955   271.619025  \n",
       "3           7.5          2015  183.999919  1902.723130  \n",
       "4           7.3          2015  174.799923  1385.748801  "
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show first 2 rows of the dataframe\n",
    "\n",
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "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>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>director</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2244</th>\n",
       "      <td>0.250540</td>\n",
       "      <td>425.0</td>\n",
       "      <td>11.087569</td>\n",
       "      <td>The Warrior's Way</td>\n",
       "      <td>Sngmoo Lee</td>\n",
       "      <td>100</td>\n",
       "      <td>Adventure|Fantasy|Action|Western|Thriller</td>\n",
       "      <td>Boram Entertainment Inc.</td>\n",
       "      <td>12/2/10</td>\n",
       "      <td>74</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2010</td>\n",
       "      <td>425.000000</td>\n",
       "      <td>11.087569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3375</th>\n",
       "      <td>4.955130</td>\n",
       "      <td>380.0</td>\n",
       "      <td>1021.683000</td>\n",
       "      <td>Pirates of the Caribbean: On Stranger Tides</td>\n",
       "      <td>Rob Marshall</td>\n",
       "      <td>136</td>\n",
       "      <td>Adventure|Action|Fantasy</td>\n",
       "      <td>Walt Disney Pictures|Jerry Bruckheimer Films|M...</td>\n",
       "      <td>5/11/11</td>\n",
       "      <td>3180</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2011</td>\n",
       "      <td>368.371256</td>\n",
       "      <td>990.417500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7387</th>\n",
       "      <td>4.965391</td>\n",
       "      <td>300.0</td>\n",
       "      <td>961.000000</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Gore Verbinski</td>\n",
       "      <td>169</td>\n",
       "      <td>Adventure|Fantasy|Action</td>\n",
       "      <td>Walt Disney Pictures|Jerry Bruckheimer Films|S...</td>\n",
       "      <td>5/19/07</td>\n",
       "      <td>2626</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2007</td>\n",
       "      <td>315.500575</td>\n",
       "      <td>1010.653508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6570</th>\n",
       "      <td>1.957331</td>\n",
       "      <td>270.0</td>\n",
       "      <td>391.081192</td>\n",
       "      <td>Superman Returns</td>\n",
       "      <td>Bryan Singer</td>\n",
       "      <td>154</td>\n",
       "      <td>Adventure|Fantasy|Action|Science Fiction</td>\n",
       "      <td>DC Comics|Legendary Pictures|Warner Bros.|Bad ...</td>\n",
       "      <td>6/28/06</td>\n",
       "      <td>834</td>\n",
       "      <td>5.3</td>\n",
       "      <td>2006</td>\n",
       "      <td>292.050673</td>\n",
       "      <td>423.020464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5231</th>\n",
       "      <td>4.355219</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1845.034188</td>\n",
       "      <td>Titanic</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>194</td>\n",
       "      <td>Drama|Romance|Thriller</td>\n",
       "      <td>Paramount Pictures|Twentieth Century Fox Film ...</td>\n",
       "      <td>11/18/97</td>\n",
       "      <td>4654</td>\n",
       "      <td>7.3</td>\n",
       "      <td>1997</td>\n",
       "      <td>271.692064</td>\n",
       "      <td>2506.405735</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      popularity  budget      revenue  \\\n",
       "2244    0.250540   425.0    11.087569   \n",
       "3375    4.955130   380.0  1021.683000   \n",
       "7387    4.965391   300.0   961.000000   \n",
       "6570    1.957331   270.0   391.081192   \n",
       "5231    4.355219   200.0  1845.034188   \n",
       "\n",
       "                                   original_title        director  runtime  \\\n",
       "2244                            The Warrior's Way      Sngmoo Lee      100   \n",
       "3375  Pirates of the Caribbean: On Stranger Tides    Rob Marshall      136   \n",
       "7387     Pirates of the Caribbean: At World's End  Gore Verbinski      169   \n",
       "6570                             Superman Returns    Bryan Singer      154   \n",
       "5231                                      Titanic   James Cameron      194   \n",
       "\n",
       "                                         genres  \\\n",
       "2244  Adventure|Fantasy|Action|Western|Thriller   \n",
       "3375                   Adventure|Action|Fantasy   \n",
       "7387                   Adventure|Fantasy|Action   \n",
       "6570   Adventure|Fantasy|Action|Science Fiction   \n",
       "5231                     Drama|Romance|Thriller   \n",
       "\n",
       "                                   production_companies release_date  \\\n",
       "2244                           Boram Entertainment Inc.      12/2/10   \n",
       "3375  Walt Disney Pictures|Jerry Bruckheimer Films|M...      5/11/11   \n",
       "7387  Walt Disney Pictures|Jerry Bruckheimer Films|S...      5/19/07   \n",
       "6570  DC Comics|Legendary Pictures|Warner Bros.|Bad ...      6/28/06   \n",
       "5231  Paramount Pictures|Twentieth Century Fox Film ...     11/18/97   \n",
       "\n",
       "      vote_count  vote_average  release_year  budget_adj  revenue_adj  \n",
       "2244          74           6.4          2010  425.000000    11.087569  \n",
       "3375        3180           6.3          2011  368.371256   990.417500  \n",
       "7387        2626           6.8          2007  315.500575  1010.653508  \n",
       "6570         834           5.3          2006  292.050673   423.020464  \n",
       "5231        4654           7.3          1997  271.692064  2506.405735  "
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort the dataframe in the descending order of budget\n",
    "# read out first 5 rows and store it in top_5b variable\n",
    "\n",
    "top_5b = df.sort_values(['budget_adj'],ascending=False).head(5)\n",
    "top_5b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7699f93898>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting\n",
    "\n",
    "plt.subplots(figsize=(8,5))\n",
    "\n",
    "plt.bar(top_5b.original_title, top_5b.budget_adj)\n",
    "plt.ylabel('Adjusted Budget (Million $)', fontsize=12)\n",
    "plt.title('Top 5 Movies with Highest Adjusted Budget',fontsize=14)\n",
    "plt.xticks(rotation=25, ha=\"right\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 2: Top 5 Movies with Highest Profits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "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>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>director</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32.985763</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1513.528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>1392.445893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28.419936</td>\n",
       "      <td>150.0</td>\n",
       "      <td>378.436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Village Roadshow Pictures|Kennedy Miller Produ...</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>348.161292</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   popularity  budget      revenue      original_title         director  \\\n",
       "0   32.985763   150.0  1513.528810      Jurassic World  Colin Trevorrow   \n",
       "1   28.419936   150.0   378.436354  Mad Max: Fury Road    George Miller   \n",
       "\n",
       "   runtime                                     genres  \\\n",
       "0      124  Action|Adventure|Science Fiction|Thriller   \n",
       "1      120  Action|Adventure|Science Fiction|Thriller   \n",
       "\n",
       "                                production_companies release_date  vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15        5562   \n",
       "1  Village Roadshow Pictures|Kennedy Miller Produ...      5/13/15        6185   \n",
       "\n",
       "   vote_average  release_year  budget_adj  revenue_adj  \n",
       "0           6.5          2015  137.999939  1392.445893  \n",
       "1           7.1          2015  137.999939   348.161292  "
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show first 2 rows of df\n",
    "\n",
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "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>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>director</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32.985763</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1513.528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>1392.445893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28.419936</td>\n",
       "      <td>150.0</td>\n",
       "      <td>378.436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Village Roadshow Pictures|Kennedy Miller Produ...</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>348.161292</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   popularity  budget      revenue      original_title         director  \\\n",
       "0   32.985763   150.0  1513.528810      Jurassic World  Colin Trevorrow   \n",
       "1   28.419936   150.0   378.436354  Mad Max: Fury Road    George Miller   \n",
       "\n",
       "   runtime                                     genres  \\\n",
       "0      124  Action|Adventure|Science Fiction|Thriller   \n",
       "1      120  Action|Adventure|Science Fiction|Thriller   \n",
       "\n",
       "                                production_companies release_date  vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15        5562   \n",
       "1  Village Roadshow Pictures|Kennedy Miller Produ...      5/13/15        6185   \n",
       "\n",
       "   vote_average  release_year  budget_adj  revenue_adj  \n",
       "0           6.5          2015  137.999939  1392.445893  \n",
       "1           7.1          2015  137.999939   348.161292  "
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# extract the non zero budget adj and revenue adj rows\n",
    "\n",
    "df_nzrb = df[(df.budget_adj!=0) & (df.revenue_adj!=0)]\n",
    "df_nzrb.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [],
   "source": [
    "# calculate profits earned by revenue adj - budget adj\n",
    "\n",
    "profits = pd.DataFrame(df_nzrb.revenue_adj - df_nzrb.budget_adj)\n",
    "\n",
    "# rename the columns in profits dataframe\n",
    "\n",
    "profits.columns = ['profits']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "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>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>director</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "      <th>profits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32.985763</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>1513.528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>1392.445893</td>\n",
       "      <td>1254.445953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28.419936</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>378.436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Village Roadshow Pictures|Kennedy Miller Produ...</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>348.161292</td>\n",
       "      <td>210.161353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13.112507</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>295.238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Robert Schwentke</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Summit Entertainment|Mandeville Films|Red Wago...</td>\n",
       "      <td>3/18/15</td>\n",
       "      <td>2480</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>101.199955</td>\n",
       "      <td>271.619025</td>\n",
       "      <td>170.419070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.173104</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>2068.178225</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>J.J. Abrams</td>\n",
       "      <td>136</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>Lucasfilm|Truenorth Productions|Bad Robot</td>\n",
       "      <td>12/15/15</td>\n",
       "      <td>5292</td>\n",
       "      <td>7.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>183.999919</td>\n",
       "      <td>1902.723130</td>\n",
       "      <td>1718.723211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9.335014</td>\n",
       "      <td>190.000000</td>\n",
       "      <td>1506.249360</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>James Wan</td>\n",
       "      <td>137</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>Universal Pictures|Original Film|Media Rights ...</td>\n",
       "      <td>4/1/15</td>\n",
       "      <td>2947</td>\n",
       "      <td>7.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>174.799923</td>\n",
       "      <td>1385.748801</td>\n",
       "      <td>1210.948878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9.110700</td>\n",
       "      <td>135.000000</td>\n",
       "      <td>532.950503</td>\n",
       "      <td>The Revenant</td>\n",
       "      <td>Alejandro GonzÃ¡lez IÃ±Ã¡rritu</td>\n",
       "      <td>156</td>\n",
       "      <td>Western|Drama|Adventure|Thriller</td>\n",
       "      <td>Regency Enterprises|Appian Way|CatchPlay|Anony...</td>\n",
       "      <td>12/25/15</td>\n",
       "      <td>3929</td>\n",
       "      <td>7.2</td>\n",
       "      <td>2015</td>\n",
       "      <td>124.199945</td>\n",
       "      <td>490.314247</td>\n",
       "      <td>366.114302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>8.654359</td>\n",
       "      <td>155.000000</td>\n",
       "      <td>440.603537</td>\n",
       "      <td>Terminator Genisys</td>\n",
       "      <td>Alan Taylor</td>\n",
       "      <td>125</td>\n",
       "      <td>Science Fiction|Action|Thriller|Adventure</td>\n",
       "      <td>Paramount Pictures|Skydance Productions</td>\n",
       "      <td>6/23/15</td>\n",
       "      <td>2598</td>\n",
       "      <td>5.8</td>\n",
       "      <td>2015</td>\n",
       "      <td>142.599937</td>\n",
       "      <td>405.355076</td>\n",
       "      <td>262.755138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.667400</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>595.380321</td>\n",
       "      <td>The Martian</td>\n",
       "      <td>Ridley Scott</td>\n",
       "      <td>141</td>\n",
       "      <td>Drama|Adventure|Science Fiction</td>\n",
       "      <td>Twentieth Century Fox Film Corporation|Scott F...</td>\n",
       "      <td>9/30/15</td>\n",
       "      <td>4572</td>\n",
       "      <td>7.6</td>\n",
       "      <td>2015</td>\n",
       "      <td>99.359956</td>\n",
       "      <td>547.749654</td>\n",
       "      <td>448.389698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7.404165</td>\n",
       "      <td>74.000000</td>\n",
       "      <td>1156.730962</td>\n",
       "      <td>Minions</td>\n",
       "      <td>Kyle Balda|Pierre Coffin</td>\n",
       "      <td>91</td>\n",
       "      <td>Family|Animation|Adventure|Comedy</td>\n",
       "      <td>Universal Pictures|Illumination Entertainment</td>\n",
       "      <td>6/17/15</td>\n",
       "      <td>2893</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>68.079970</td>\n",
       "      <td>1064.192017</td>\n",
       "      <td>996.112047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>6.326804</td>\n",
       "      <td>175.000000</td>\n",
       "      <td>853.708609</td>\n",
       "      <td>Inside Out</td>\n",
       "      <td>Pete Docter</td>\n",
       "      <td>94</td>\n",
       "      <td>Comedy|Animation|Family</td>\n",
       "      <td>Walt Disney Pictures|Pixar Animation Studios|W...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>3935</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2015</td>\n",
       "      <td>160.999929</td>\n",
       "      <td>785.411575</td>\n",
       "      <td>624.411646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>6.200282</td>\n",
       "      <td>245.000000</td>\n",
       "      <td>880.674609</td>\n",
       "      <td>Spectre</td>\n",
       "      <td>Sam Mendes</td>\n",
       "      <td>148</td>\n",
       "      <td>Action|Adventure|Crime</td>\n",
       "      <td>Columbia Pictures|Danjaq|B24</td>\n",
       "      <td>10/26/15</td>\n",
       "      <td>3254</td>\n",
       "      <td>6.2</td>\n",
       "      <td>2015</td>\n",
       "      <td>225.399901</td>\n",
       "      <td>810.220284</td>\n",
       "      <td>584.820383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>6.189369</td>\n",
       "      <td>176.000003</td>\n",
       "      <td>183.987723</td>\n",
       "      <td>Jupiter Ascending</td>\n",
       "      <td>Lana Wachowski|Lilly Wachowski</td>\n",
       "      <td>124</td>\n",
       "      <td>Science Fiction|Fantasy|Action|Adventure</td>\n",
       "      <td>Village Roadshow Pictures|Dune Entertainment|A...</td>\n",
       "      <td>2/4/15</td>\n",
       "      <td>1937</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2015</td>\n",
       "      <td>161.919932</td>\n",
       "      <td>169.268631</td>\n",
       "      <td>7.348699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>6.118847</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>36.869414</td>\n",
       "      <td>Ex Machina</td>\n",
       "      <td>Alex Garland</td>\n",
       "      <td>108</td>\n",
       "      <td>Drama|Science Fiction</td>\n",
       "      <td>DNA Films|Universal Pictures International (UP...</td>\n",
       "      <td>1/21/15</td>\n",
       "      <td>2854</td>\n",
       "      <td>7.6</td>\n",
       "      <td>2015</td>\n",
       "      <td>13.799994</td>\n",
       "      <td>33.919846</td>\n",
       "      <td>20.119852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5.984995</td>\n",
       "      <td>88.000000</td>\n",
       "      <td>243.637091</td>\n",
       "      <td>Pixels</td>\n",
       "      <td>Chris Columbus</td>\n",
       "      <td>105</td>\n",
       "      <td>Action|Comedy|Science Fiction</td>\n",
       "      <td>Columbia Pictures|Happy Madison Productions</td>\n",
       "      <td>7/16/15</td>\n",
       "      <td>1575</td>\n",
       "      <td>5.8</td>\n",
       "      <td>2015</td>\n",
       "      <td>80.959964</td>\n",
       "      <td>224.146025</td>\n",
       "      <td>143.186061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5.944927</td>\n",
       "      <td>280.000000</td>\n",
       "      <td>1405.035767</td>\n",
       "      <td>Avengers: Age of Ultron</td>\n",
       "      <td>Joss Whedon</td>\n",
       "      <td>141</td>\n",
       "      <td>Action|Adventure|Science Fiction</td>\n",
       "      <td>Marvel Studios|Prime Focus|Revolution Sun Studios</td>\n",
       "      <td>4/22/15</td>\n",
       "      <td>4304</td>\n",
       "      <td>7.4</td>\n",
       "      <td>2015</td>\n",
       "      <td>257.599887</td>\n",
       "      <td>1292.632337</td>\n",
       "      <td>1035.032450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5.898400</td>\n",
       "      <td>44.000000</td>\n",
       "      <td>155.760117</td>\n",
       "      <td>The Hateful Eight</td>\n",
       "      <td>Quentin Tarantino</td>\n",
       "      <td>167</td>\n",
       "      <td>Crime|Drama|Mystery|Western</td>\n",
       "      <td>Double Feature Films|The Weinstein Company|Fil...</td>\n",
       "      <td>12/25/15</td>\n",
       "      <td>2389</td>\n",
       "      <td>7.4</td>\n",
       "      <td>2015</td>\n",
       "      <td>40.479982</td>\n",
       "      <td>143.299245</td>\n",
       "      <td>102.819262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.749758</td>\n",
       "      <td>48.000000</td>\n",
       "      <td>325.771424</td>\n",
       "      <td>Taken 3</td>\n",
       "      <td>Olivier Megaton</td>\n",
       "      <td>109</td>\n",
       "      <td>Crime|Action|Thriller</td>\n",
       "      <td>Twentieth Century Fox Film Corporation|M6 Film...</td>\n",
       "      <td>1/1/15</td>\n",
       "      <td>1578</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>44.159981</td>\n",
       "      <td>299.709578</td>\n",
       "      <td>255.549598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5.573184</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>518.602163</td>\n",
       "      <td>Ant-Man</td>\n",
       "      <td>Peyton Reed</td>\n",
       "      <td>115</td>\n",
       "      <td>Science Fiction|Action|Adventure</td>\n",
       "      <td>Marvel Studios</td>\n",
       "      <td>7/14/15</td>\n",
       "      <td>3779</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2015</td>\n",
       "      <td>119.599947</td>\n",
       "      <td>477.113780</td>\n",
       "      <td>357.513833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5.556818</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>542.351353</td>\n",
       "      <td>Cinderella</td>\n",
       "      <td>Kenneth Branagh</td>\n",
       "      <td>112</td>\n",
       "      <td>Romance|Fantasy|Family|Drama</td>\n",
       "      <td>Walt Disney Pictures|Genre Films|Beagle Pug Fi...</td>\n",
       "      <td>3/12/15</td>\n",
       "      <td>1495</td>\n",
       "      <td>6.8</td>\n",
       "      <td>2015</td>\n",
       "      <td>87.399962</td>\n",
       "      <td>498.963025</td>\n",
       "      <td>411.563064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5.476958</td>\n",
       "      <td>160.000000</td>\n",
       "      <td>650.523427</td>\n",
       "      <td>The Hunger Games: Mockingjay - Part 2</td>\n",
       "      <td>Francis Lawrence</td>\n",
       "      <td>136</td>\n",
       "      <td>War|Adventure|Science Fiction</td>\n",
       "      <td>Studio Babelsberg|StudioCanal|Lionsgate|Walt D...</td>\n",
       "      <td>11/18/15</td>\n",
       "      <td>2380</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>147.199935</td>\n",
       "      <td>598.481290</td>\n",
       "      <td>451.281354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5.462138</td>\n",
       "      <td>190.000000</td>\n",
       "      <td>209.035668</td>\n",
       "      <td>Tomorrowland</td>\n",
       "      <td>Brad Bird</td>\n",
       "      <td>130</td>\n",
       "      <td>Action|Family|Science Fiction|Adventure|Mystery</td>\n",
       "      <td>Walt Disney Pictures|Babieka|A113</td>\n",
       "      <td>5/19/15</td>\n",
       "      <td>1899</td>\n",
       "      <td>6.2</td>\n",
       "      <td>2015</td>\n",
       "      <td>174.799923</td>\n",
       "      <td>192.312730</td>\n",
       "      <td>17.512807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5.337064</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>91.709827</td>\n",
       "      <td>Southpaw</td>\n",
       "      <td>Antoine Fuqua</td>\n",
       "      <td>123</td>\n",
       "      <td>Action|Drama</td>\n",
       "      <td>Escape Artists|Riche-Ludwig Productions</td>\n",
       "      <td>6/15/15</td>\n",
       "      <td>1386</td>\n",
       "      <td>7.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>27.599988</td>\n",
       "      <td>84.373004</td>\n",
       "      <td>56.773016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4.907832</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>470.490832</td>\n",
       "      <td>San Andreas</td>\n",
       "      <td>Brad Peyton</td>\n",
       "      <td>114</td>\n",
       "      <td>Action|Drama|Thriller</td>\n",
       "      <td>New Line Cinema|Village Roadshow Pictures|Warn...</td>\n",
       "      <td>5/27/15</td>\n",
       "      <td>2060</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>101.199955</td>\n",
       "      <td>432.851375</td>\n",
       "      <td>331.651420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>4.710402</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>569.651467</td>\n",
       "      <td>Fifty Shades of Grey</td>\n",
       "      <td>Sam Taylor-Johnson</td>\n",
       "      <td>125</td>\n",
       "      <td>Drama|Romance</td>\n",
       "      <td>Focus Features|Trigger Street Productions|Mich...</td>\n",
       "      <td>2/11/15</td>\n",
       "      <td>1865</td>\n",
       "      <td>5.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>36.799984</td>\n",
       "      <td>524.079119</td>\n",
       "      <td>487.279135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4.648046</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>133.346506</td>\n",
       "      <td>The Big Short</td>\n",
       "      <td>Adam McKay</td>\n",
       "      <td>130</td>\n",
       "      <td>Comedy|Drama</td>\n",
       "      <td>Paramount Pictures|Plan B Entertainment|Regenc...</td>\n",
       "      <td>12/11/15</td>\n",
       "      <td>1545</td>\n",
       "      <td>7.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>25.759989</td>\n",
       "      <td>122.678732</td>\n",
       "      <td>96.918743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>4.566713</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>682.330139</td>\n",
       "      <td>Mission: Impossible - Rogue Nation</td>\n",
       "      <td>Christopher McQuarrie</td>\n",
       "      <td>131</td>\n",
       "      <td>Action</td>\n",
       "      <td>Paramount Pictures|Skydance Productions|China ...</td>\n",
       "      <td>7/23/15</td>\n",
       "      <td>2349</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>627.743452</td>\n",
       "      <td>489.743512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>4.564549</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>215.863606</td>\n",
       "      <td>Ted 2</td>\n",
       "      <td>Seth MacFarlane</td>\n",
       "      <td>115</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Universal Pictures|Media Rights Capital|Fuzzy ...</td>\n",
       "      <td>6/25/15</td>\n",
       "      <td>1666</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>62.559972</td>\n",
       "      <td>198.594430</td>\n",
       "      <td>136.034458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>4.503789</td>\n",
       "      <td>81.000000</td>\n",
       "      <td>403.802136</td>\n",
       "      <td>Kingsman: The Secret Service</td>\n",
       "      <td>Matthew Vaughn</td>\n",
       "      <td>130</td>\n",
       "      <td>Crime|Comedy|Action|Adventure</td>\n",
       "      <td>Twentieth Century Fox Film Corporation|Marv Fi...</td>\n",
       "      <td>1/24/15</td>\n",
       "      <td>3833</td>\n",
       "      <td>7.6</td>\n",
       "      <td>2015</td>\n",
       "      <td>74.519967</td>\n",
       "      <td>371.497802</td>\n",
       "      <td>296.977834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>4.062293</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>88.346473</td>\n",
       "      <td>Spotlight</td>\n",
       "      <td>Tom McCarthy</td>\n",
       "      <td>128</td>\n",
       "      <td>Drama|Thriller|History</td>\n",
       "      <td>Participant Media|Open Road Films|Anonymous Co...</td>\n",
       "      <td>11/6/15</td>\n",
       "      <td>1559</td>\n",
       "      <td>7.8</td>\n",
       "      <td>2015</td>\n",
       "      <td>18.399992</td>\n",
       "      <td>81.278719</td>\n",
       "      <td>62.878727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>3.968891</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>311.256926</td>\n",
       "      <td>Maze Runner: The Scorch Trials</td>\n",
       "      <td>Wes Ball</td>\n",
       "      <td>132</td>\n",
       "      <td>Action|Science Fiction|Thriller</td>\n",
       "      <td>Gotham Group|Temple Hill Entertainment|TSG Ent...</td>\n",
       "      <td>9/9/15</td>\n",
       "      <td>1849</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2015</td>\n",
       "      <td>56.119975</td>\n",
       "      <td>286.356246</td>\n",
       "      <td>230.236271</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10690</th>\n",
       "      <td>1.313676</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>163.214286</td>\n",
       "      <td>The Sound of Music</td>\n",
       "      <td>Robert Wise</td>\n",
       "      <td>174</td>\n",
       "      <td>Drama|Family|Music|Romance</td>\n",
       "      <td>Robert Wise Productions|Argyle Enterprises</td>\n",
       "      <td>3/2/65</td>\n",
       "      <td>620</td>\n",
       "      <td>7.2</td>\n",
       "      <td>1965</td>\n",
       "      <td>56.748622</td>\n",
       "      <td>1129.534862</td>\n",
       "      <td>1072.786240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10691</th>\n",
       "      <td>1.282053</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>111.721910</td>\n",
       "      <td>Doctor Zhivago</td>\n",
       "      <td>David Lean</td>\n",
       "      <td>197</td>\n",
       "      <td>Drama|Romance|War</td>\n",
       "      <td>Metro-Goldwyn-Mayer (MGM)</td>\n",
       "      <td>12/22/65</td>\n",
       "      <td>126</td>\n",
       "      <td>6.9</td>\n",
       "      <td>1965</td>\n",
       "      <td>96.887892</td>\n",
       "      <td>773.178594</td>\n",
       "      <td>676.290702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10692</th>\n",
       "      <td>0.622157</td>\n",
       "      <td>5.600000</td>\n",
       "      <td>29.950000</td>\n",
       "      <td>Those Magnificent Men in Their Flying Machines...</td>\n",
       "      <td>Ken Annakin</td>\n",
       "      <td>138</td>\n",
       "      <td>Action|Adventure|Comedy</td>\n",
       "      <td>Twentieth Century-Fox Productions</td>\n",
       "      <td>6/3/65</td>\n",
       "      <td>19</td>\n",
       "      <td>6.6</td>\n",
       "      <td>1965</td>\n",
       "      <td>38.755157</td>\n",
       "      <td>207.270883</td>\n",
       "      <td>168.515726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10716</th>\n",
       "      <td>0.146033</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>The Greatest Story Ever Told</td>\n",
       "      <td>George Stevens</td>\n",
       "      <td>199</td>\n",
       "      <td>Drama|History</td>\n",
       "      <td>George Stevens Productions</td>\n",
       "      <td>2/15/65</td>\n",
       "      <td>13</td>\n",
       "      <td>5.7</td>\n",
       "      <td>1965</td>\n",
       "      <td>138.411274</td>\n",
       "      <td>83.046764</td>\n",
       "      <td>-55.364510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10724</th>\n",
       "      <td>1.778746</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>81.974493</td>\n",
       "      <td>On Her Majesty's Secret Service</td>\n",
       "      <td>Peter R. Hunt</td>\n",
       "      <td>142</td>\n",
       "      <td>Adventure|Action|Thriller</td>\n",
       "      <td>Eon Productions|Metro-Goldwyn-Mayer (MGM)|Danjaq</td>\n",
       "      <td>12/12/69</td>\n",
       "      <td>258</td>\n",
       "      <td>6.4</td>\n",
       "      <td>1969</td>\n",
       "      <td>41.609849</td>\n",
       "      <td>487.278044</td>\n",
       "      <td>445.668195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10725</th>\n",
       "      <td>1.357317</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>102.308889</td>\n",
       "      <td>Butch Cassidy and the Sundance Kid</td>\n",
       "      <td>George Roy Hill</td>\n",
       "      <td>110</td>\n",
       "      <td>History|Drama|Western|Crime</td>\n",
       "      <td>Twentieth Century Fox Film Corporation|Campani...</td>\n",
       "      <td>9/23/69</td>\n",
       "      <td>379</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1969</td>\n",
       "      <td>35.665585</td>\n",
       "      <td>608.151066</td>\n",
       "      <td>572.485481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10727</th>\n",
       "      <td>0.859806</td>\n",
       "      <td>3.600000</td>\n",
       "      <td>44.785053</td>\n",
       "      <td>Midnight Cowboy</td>\n",
       "      <td>John Schlesinger</td>\n",
       "      <td>113</td>\n",
       "      <td>Drama</td>\n",
       "      <td>United Artists|Florin Productions|Jerome Hellm...</td>\n",
       "      <td>5/25/69</td>\n",
       "      <td>124</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1969</td>\n",
       "      <td>21.399351</td>\n",
       "      <td>266.214187</td>\n",
       "      <td>244.814836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10728</th>\n",
       "      <td>0.615889</td>\n",
       "      <td>6.244087</td>\n",
       "      <td>0.638641</td>\n",
       "      <td>The Wild Bunch</td>\n",
       "      <td>Sam Peckinpah</td>\n",
       "      <td>145</td>\n",
       "      <td>Adventure|Western</td>\n",
       "      <td>Warner Brothers/Seven Arts</td>\n",
       "      <td>6/17/69</td>\n",
       "      <td>121</td>\n",
       "      <td>7.2</td>\n",
       "      <td>1969</td>\n",
       "      <td>37.116503</td>\n",
       "      <td>3.796251</td>\n",
       "      <td>-33.320252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10755</th>\n",
       "      <td>1.697618</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>181.813770</td>\n",
       "      <td>Grease</td>\n",
       "      <td>Randal Kleiser</td>\n",
       "      <td>110</td>\n",
       "      <td>Music</td>\n",
       "      <td>Paramount Pictures|Robert Stigwood Organizatio...</td>\n",
       "      <td>7/7/78</td>\n",
       "      <td>786</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1978</td>\n",
       "      <td>20.056204</td>\n",
       "      <td>607.749015</td>\n",
       "      <td>587.692811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10756</th>\n",
       "      <td>1.562700</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>187.884007</td>\n",
       "      <td>Jaws 2</td>\n",
       "      <td>Jeannot Szwarc</td>\n",
       "      <td>116</td>\n",
       "      <td>Horror|Thriller</td>\n",
       "      <td>Universal Pictures</td>\n",
       "      <td>6/16/78</td>\n",
       "      <td>179</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1978</td>\n",
       "      <td>66.854014</td>\n",
       "      <td>628.040001</td>\n",
       "      <td>561.185987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10757</th>\n",
       "      <td>1.210531</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>Dawn of the Dead</td>\n",
       "      <td>George A. Romero</td>\n",
       "      <td>127</td>\n",
       "      <td>Horror</td>\n",
       "      <td>Laurel Group|Dawn Associates</td>\n",
       "      <td>9/2/78</td>\n",
       "      <td>306</td>\n",
       "      <td>7.2</td>\n",
       "      <td>1978</td>\n",
       "      <td>2.172755</td>\n",
       "      <td>183.848538</td>\n",
       "      <td>181.675783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10758</th>\n",
       "      <td>1.210324</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>300.218018</td>\n",
       "      <td>Superman</td>\n",
       "      <td>Richard Donner</td>\n",
       "      <td>143</td>\n",
       "      <td>Adventure|Fantasy|Action|Science Fiction</td>\n",
       "      <td>Warner Bros.|Dovemead Films|Film Export A.G.</td>\n",
       "      <td>12/14/78</td>\n",
       "      <td>518</td>\n",
       "      <td>6.7</td>\n",
       "      <td>1978</td>\n",
       "      <td>183.848538</td>\n",
       "      <td>1003.538977</td>\n",
       "      <td>819.690439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10759</th>\n",
       "      <td>1.198849</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>Halloween</td>\n",
       "      <td>John Carpenter</td>\n",
       "      <td>91</td>\n",
       "      <td>Horror|Thriller</td>\n",
       "      <td>Compass International Pictures|Falcon Internat...</td>\n",
       "      <td>10/25/78</td>\n",
       "      <td>522</td>\n",
       "      <td>7.3</td>\n",
       "      <td>1978</td>\n",
       "      <td>1.002810</td>\n",
       "      <td>233.989049</td>\n",
       "      <td>232.986238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10760</th>\n",
       "      <td>1.157930</td>\n",
       "      <td>2.700000</td>\n",
       "      <td>141.000000</td>\n",
       "      <td>Animal House</td>\n",
       "      <td>John Landis</td>\n",
       "      <td>109</td>\n",
       "      <td>Comedy</td>\n",
       "      <td>Universal Pictures|Oregon Film Factory|Stage I...</td>\n",
       "      <td>7/27/78</td>\n",
       "      <td>230</td>\n",
       "      <td>6.7</td>\n",
       "      <td>1978</td>\n",
       "      <td>9.025292</td>\n",
       "      <td>471.320798</td>\n",
       "      <td>462.295506</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10762</th>\n",
       "      <td>0.959754</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>The Deer Hunter</td>\n",
       "      <td>Michael Cimino</td>\n",
       "      <td>183</td>\n",
       "      <td>Drama|War</td>\n",
       "      <td>Universal Pictures|EMI Films Ltd.</td>\n",
       "      <td>12/8/78</td>\n",
       "      <td>464</td>\n",
       "      <td>7.4</td>\n",
       "      <td>1978</td>\n",
       "      <td>50.140510</td>\n",
       "      <td>167.135035</td>\n",
       "      <td>116.994524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10770</th>\n",
       "      <td>0.512719</td>\n",
       "      <td>2.300000</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>Midnight Express</td>\n",
       "      <td>Alan Parker</td>\n",
       "      <td>121</td>\n",
       "      <td>Drama|Crime</td>\n",
       "      <td>Columbia Pictures|Casablanca Filmworks</td>\n",
       "      <td>10/6/78</td>\n",
       "      <td>141</td>\n",
       "      <td>7.5</td>\n",
       "      <td>1978</td>\n",
       "      <td>7.688212</td>\n",
       "      <td>116.994524</td>\n",
       "      <td>109.306313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10771</th>\n",
       "      <td>0.496029</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>30.471420</td>\n",
       "      <td>The Lord of the Rings</td>\n",
       "      <td>Ralph Bakshi</td>\n",
       "      <td>132</td>\n",
       "      <td>Drama|Animation|Adventure</td>\n",
       "      <td>Fantasy Films</td>\n",
       "      <td>11/15/78</td>\n",
       "      <td>91</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1978</td>\n",
       "      <td>13.370803</td>\n",
       "      <td>101.856837</td>\n",
       "      <td>88.486034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10775</th>\n",
       "      <td>0.468871</td>\n",
       "      <td>7.920000</td>\n",
       "      <td>14.560084</td>\n",
       "      <td>Death on the Nile</td>\n",
       "      <td>John Guillermin</td>\n",
       "      <td>140</td>\n",
       "      <td>Mystery</td>\n",
       "      <td>EMI Films Ltd.|Mersham Productions</td>\n",
       "      <td>10/6/78</td>\n",
       "      <td>51</td>\n",
       "      <td>6.2</td>\n",
       "      <td>1978</td>\n",
       "      <td>26.474190</td>\n",
       "      <td>48.670003</td>\n",
       "      <td>22.195813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10777</th>\n",
       "      <td>0.439210</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>0.000011</td>\n",
       "      <td>F.I.S.T.</td>\n",
       "      <td>Norman Jewison</td>\n",
       "      <td>145</td>\n",
       "      <td>Drama|Action</td>\n",
       "      <td>chateau productions</td>\n",
       "      <td>4/26/78</td>\n",
       "      <td>13</td>\n",
       "      <td>6.7</td>\n",
       "      <td>1978</td>\n",
       "      <td>0.000037</td>\n",
       "      <td>0.000037</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10778</th>\n",
       "      <td>0.435312</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>7.230000</td>\n",
       "      <td>Force 10 from Navarone</td>\n",
       "      <td>Guy Hamilton</td>\n",
       "      <td>118</td>\n",
       "      <td>Action|Adventure|War|Thriller</td>\n",
       "      <td>Columbia Pictures Corporation</td>\n",
       "      <td>11/1/78</td>\n",
       "      <td>39</td>\n",
       "      <td>6.6</td>\n",
       "      <td>1978</td>\n",
       "      <td>16.713503</td>\n",
       "      <td>24.167726</td>\n",
       "      <td>7.454223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10779</th>\n",
       "      <td>0.411826</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>22.765081</td>\n",
       "      <td>Convoy</td>\n",
       "      <td>Sam Peckinpah</td>\n",
       "      <td>110</td>\n",
       "      <td>Action|Comedy|Drama</td>\n",
       "      <td>EMI Films Ltd.</td>\n",
       "      <td>6/27/78</td>\n",
       "      <td>31</td>\n",
       "      <td>6.2</td>\n",
       "      <td>1978</td>\n",
       "      <td>40.112408</td>\n",
       "      <td>76.096852</td>\n",
       "      <td>35.984444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10780</th>\n",
       "      <td>0.409377</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>24.046533</td>\n",
       "      <td>Invasion of the Body Snatchers</td>\n",
       "      <td>Philip Kaufman</td>\n",
       "      <td>115</td>\n",
       "      <td>Horror|Thriller|Science Fiction|Mystery</td>\n",
       "      <td>United Artists|Solofilm</td>\n",
       "      <td>12/19/78</td>\n",
       "      <td>87</td>\n",
       "      <td>6.5</td>\n",
       "      <td>1978</td>\n",
       "      <td>11.699452</td>\n",
       "      <td>80.380363</td>\n",
       "      <td>68.680910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10788</th>\n",
       "      <td>0.277769</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>21.049053</td>\n",
       "      <td>The Wiz</td>\n",
       "      <td>Sidney Lumet</td>\n",
       "      <td>134</td>\n",
       "      <td>Adventure|Family|Fantasy|Music|Science Fiction</td>\n",
       "      <td>Universal Pictures|Motown Productions</td>\n",
       "      <td>10/24/78</td>\n",
       "      <td>30</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1978</td>\n",
       "      <td>80.224817</td>\n",
       "      <td>70.360684</td>\n",
       "      <td>-9.864133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10791</th>\n",
       "      <td>0.236193</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>26.518355</td>\n",
       "      <td>Damien: Omen II</td>\n",
       "      <td>Don Taylor|Mike Hodges</td>\n",
       "      <td>107</td>\n",
       "      <td>Action|Drama|Horror|Thriller</td>\n",
       "      <td>Twentieth Century Fox Film Corporation|Mace Ne...</td>\n",
       "      <td>6/9/78</td>\n",
       "      <td>71</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1978</td>\n",
       "      <td>22.730365</td>\n",
       "      <td>88.642924</td>\n",
       "      <td>65.912559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10793</th>\n",
       "      <td>0.226002</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.713768</td>\n",
       "      <td>Watership Down</td>\n",
       "      <td>Martin Rosen</td>\n",
       "      <td>88</td>\n",
       "      <td>Adventure|Animation|Drama</td>\n",
       "      <td>Nepenthe Productions|Watership Productions</td>\n",
       "      <td>10/14/78</td>\n",
       "      <td>67</td>\n",
       "      <td>6.8</td>\n",
       "      <td>1978</td>\n",
       "      <td>3.342701</td>\n",
       "      <td>12.414015</td>\n",
       "      <td>9.071314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10822</th>\n",
       "      <td>0.670274</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>33.736689</td>\n",
       "      <td>Who's Afraid of Virginia Woolf?</td>\n",
       "      <td>Mike Nichols</td>\n",
       "      <td>131</td>\n",
       "      <td>Drama</td>\n",
       "      <td>Chenault Productions</td>\n",
       "      <td>6/21/66</td>\n",
       "      <td>74</td>\n",
       "      <td>7.5</td>\n",
       "      <td>1966</td>\n",
       "      <td>50.385110</td>\n",
       "      <td>226.643572</td>\n",
       "      <td>176.258462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10828</th>\n",
       "      <td>0.402730</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>Torn Curtain</td>\n",
       "      <td>Alfred Hitchcock</td>\n",
       "      <td>128</td>\n",
       "      <td>Mystery|Thriller</td>\n",
       "      <td>Universal Pictures</td>\n",
       "      <td>7/13/66</td>\n",
       "      <td>46</td>\n",
       "      <td>6.3</td>\n",
       "      <td>1966</td>\n",
       "      <td>20.154044</td>\n",
       "      <td>87.334191</td>\n",
       "      <td>67.180147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10829</th>\n",
       "      <td>0.395668</td>\n",
       "      <td>4.653000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>El Dorado</td>\n",
       "      <td>Howard Hawks</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Western</td>\n",
       "      <td>Paramount Pictures|Laurel Productions</td>\n",
       "      <td>12/17/66</td>\n",
       "      <td>36</td>\n",
       "      <td>6.9</td>\n",
       "      <td>1966</td>\n",
       "      <td>31.258922</td>\n",
       "      <td>40.308088</td>\n",
       "      <td>9.049166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10835</th>\n",
       "      <td>0.299911</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>The Sand Pebbles</td>\n",
       "      <td>Robert Wise</td>\n",
       "      <td>182</td>\n",
       "      <td>Action|Adventure|Drama|War|Romance</td>\n",
       "      <td>Twentieth Century Fox Film Corporation|Solar P...</td>\n",
       "      <td>12/20/66</td>\n",
       "      <td>28</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1966</td>\n",
       "      <td>80.616176</td>\n",
       "      <td>134.360294</td>\n",
       "      <td>53.744118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10848</th>\n",
       "      <td>0.207257</td>\n",
       "      <td>5.115000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>Fantastic Voyage</td>\n",
       "      <td>Richard Fleischer</td>\n",
       "      <td>100</td>\n",
       "      <td>Adventure|Science Fiction</td>\n",
       "      <td>Twentieth Century Fox Film Corporation</td>\n",
       "      <td>8/24/66</td>\n",
       "      <td>42</td>\n",
       "      <td>6.7</td>\n",
       "      <td>1966</td>\n",
       "      <td>34.362645</td>\n",
       "      <td>80.616176</td>\n",
       "      <td>46.253531</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3854 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       popularity      budget      revenue  \\\n",
       "0       32.985763  150.000000  1513.528810   \n",
       "1       28.419936  150.000000   378.436354   \n",
       "2       13.112507  110.000000   295.238201   \n",
       "3       11.173104  200.000000  2068.178225   \n",
       "4        9.335014  190.000000  1506.249360   \n",
       "5        9.110700  135.000000   532.950503   \n",
       "6        8.654359  155.000000   440.603537   \n",
       "7        7.667400  108.000000   595.380321   \n",
       "8        7.404165   74.000000  1156.730962   \n",
       "9        6.326804  175.000000   853.708609   \n",
       "10       6.200282  245.000000   880.674609   \n",
       "11       6.189369  176.000003   183.987723   \n",
       "12       6.118847   15.000000    36.869414   \n",
       "13       5.984995   88.000000   243.637091   \n",
       "14       5.944927  280.000000  1405.035767   \n",
       "15       5.898400   44.000000   155.760117   \n",
       "16       5.749758   48.000000   325.771424   \n",
       "17       5.573184  130.000000   518.602163   \n",
       "18       5.556818   95.000000   542.351353   \n",
       "19       5.476958  160.000000   650.523427   \n",
       "20       5.462138  190.000000   209.035668   \n",
       "21       5.337064   30.000000    91.709827   \n",
       "22       4.907832  110.000000   470.490832   \n",
       "23       4.710402   40.000000   569.651467   \n",
       "24       4.648046   28.000000   133.346506   \n",
       "25       4.566713  150.000000   682.330139   \n",
       "26       4.564549   68.000000   215.863606   \n",
       "27       4.503789   81.000000   403.802136   \n",
       "28       4.062293   20.000000    88.346473   \n",
       "29       3.968891   61.000000   311.256926   \n",
       "...           ...         ...          ...   \n",
       "10690    1.313676    8.200000   163.214286   \n",
       "10691    1.282053   14.000000   111.721910   \n",
       "10692    0.622157    5.600000    29.950000   \n",
       "10716    0.146033   20.000000    12.000000   \n",
       "10724    1.778746    7.000000    81.974493   \n",
       "10725    1.357317    6.000000   102.308889   \n",
       "10727    0.859806    3.600000    44.785053   \n",
       "10728    0.615889    6.244087     0.638641   \n",
       "10755    1.697618    6.000000   181.813770   \n",
       "10756    1.562700   20.000000   187.884007   \n",
       "10757    1.210531    0.650000    55.000000   \n",
       "10758    1.210324   55.000000   300.218018   \n",
       "10759    1.198849    0.300000    70.000000   \n",
       "10760    1.157930    2.700000   141.000000   \n",
       "10762    0.959754   15.000000    50.000000   \n",
       "10770    0.512719    2.300000    35.000000   \n",
       "10771    0.496029    4.000000    30.471420   \n",
       "10775    0.468871    7.920000    14.560084   \n",
       "10777    0.439210    0.000011     0.000011   \n",
       "10778    0.435312    5.000000     7.230000   \n",
       "10779    0.411826   12.000000    22.765081   \n",
       "10780    0.409377    3.500000    24.046533   \n",
       "10788    0.277769   24.000000    21.049053   \n",
       "10791    0.236193    6.800000    26.518355   \n",
       "10793    0.226002    1.000000     3.713768   \n",
       "10822    0.670274    7.500000    33.736689   \n",
       "10828    0.402730    3.000000    13.000000   \n",
       "10829    0.395668    4.653000     6.000000   \n",
       "10835    0.299911   12.000000    20.000000   \n",
       "10848    0.207257    5.115000    12.000000   \n",
       "\n",
       "                                          original_title  \\\n",
       "0                                         Jurassic World   \n",
       "1                                     Mad Max: Fury Road   \n",
       "2                                              Insurgent   \n",
       "3                           Star Wars: The Force Awakens   \n",
       "4                                              Furious 7   \n",
       "5                                           The Revenant   \n",
       "6                                     Terminator Genisys   \n",
       "7                                            The Martian   \n",
       "8                                                Minions   \n",
       "9                                             Inside Out   \n",
       "10                                               Spectre   \n",
       "11                                     Jupiter Ascending   \n",
       "12                                            Ex Machina   \n",
       "13                                                Pixels   \n",
       "14                               Avengers: Age of Ultron   \n",
       "15                                     The Hateful Eight   \n",
       "16                                               Taken 3   \n",
       "17                                               Ant-Man   \n",
       "18                                            Cinderella   \n",
       "19                 The Hunger Games: Mockingjay - Part 2   \n",
       "20                                          Tomorrowland   \n",
       "21                                              Southpaw   \n",
       "22                                           San Andreas   \n",
       "23                                  Fifty Shades of Grey   \n",
       "24                                         The Big Short   \n",
       "25                    Mission: Impossible - Rogue Nation   \n",
       "26                                                 Ted 2   \n",
       "27                          Kingsman: The Secret Service   \n",
       "28                                             Spotlight   \n",
       "29                        Maze Runner: The Scorch Trials   \n",
       "...                                                  ...   \n",
       "10690                                 The Sound of Music   \n",
       "10691                                     Doctor Zhivago   \n",
       "10692  Those Magnificent Men in Their Flying Machines...   \n",
       "10716                       The Greatest Story Ever Told   \n",
       "10724                    On Her Majesty's Secret Service   \n",
       "10725                 Butch Cassidy and the Sundance Kid   \n",
       "10727                                    Midnight Cowboy   \n",
       "10728                                     The Wild Bunch   \n",
       "10755                                             Grease   \n",
       "10756                                             Jaws 2   \n",
       "10757                                   Dawn of the Dead   \n",
       "10758                                           Superman   \n",
       "10759                                          Halloween   \n",
       "10760                                       Animal House   \n",
       "10762                                    The Deer Hunter   \n",
       "10770                                   Midnight Express   \n",
       "10771                              The Lord of the Rings   \n",
       "10775                                  Death on the Nile   \n",
       "10777                                           F.I.S.T.   \n",
       "10778                             Force 10 from Navarone   \n",
       "10779                                             Convoy   \n",
       "10780                     Invasion of the Body Snatchers   \n",
       "10788                                            The Wiz   \n",
       "10791                                    Damien: Omen II   \n",
       "10793                                     Watership Down   \n",
       "10822                    Who's Afraid of Virginia Woolf?   \n",
       "10828                                       Torn Curtain   \n",
       "10829                                          El Dorado   \n",
       "10835                                   The Sand Pebbles   \n",
       "10848                                   Fantastic Voyage   \n",
       "\n",
       "                             director  runtime  \\\n",
       "0                     Colin Trevorrow      124   \n",
       "1                       George Miller      120   \n",
       "2                    Robert Schwentke      119   \n",
       "3                         J.J. Abrams      136   \n",
       "4                           James Wan      137   \n",
       "5      Alejandro GonzÃ¡lez IÃ±Ã¡rritu      156   \n",
       "6                         Alan Taylor      125   \n",
       "7                        Ridley Scott      141   \n",
       "8            Kyle Balda|Pierre Coffin       91   \n",
       "9                         Pete Docter       94   \n",
       "10                         Sam Mendes      148   \n",
       "11     Lana Wachowski|Lilly Wachowski      124   \n",
       "12                       Alex Garland      108   \n",
       "13                     Chris Columbus      105   \n",
       "14                        Joss Whedon      141   \n",
       "15                  Quentin Tarantino      167   \n",
       "16                    Olivier Megaton      109   \n",
       "17                        Peyton Reed      115   \n",
       "18                    Kenneth Branagh      112   \n",
       "19                   Francis Lawrence      136   \n",
       "20                          Brad Bird      130   \n",
       "21                      Antoine Fuqua      123   \n",
       "22                        Brad Peyton      114   \n",
       "23                 Sam Taylor-Johnson      125   \n",
       "24                         Adam McKay      130   \n",
       "25              Christopher McQuarrie      131   \n",
       "26                    Seth MacFarlane      115   \n",
       "27                     Matthew Vaughn      130   \n",
       "28                       Tom McCarthy      128   \n",
       "29                           Wes Ball      132   \n",
       "...                               ...      ...   \n",
       "10690                     Robert Wise      174   \n",
       "10691                      David Lean      197   \n",
       "10692                     Ken Annakin      138   \n",
       "10716                  George Stevens      199   \n",
       "10724                   Peter R. Hunt      142   \n",
       "10725                 George Roy Hill      110   \n",
       "10727                John Schlesinger      113   \n",
       "10728                   Sam Peckinpah      145   \n",
       "10755                  Randal Kleiser      110   \n",
       "10756                  Jeannot Szwarc      116   \n",
       "10757                George A. Romero      127   \n",
       "10758                  Richard Donner      143   \n",
       "10759                  John Carpenter       91   \n",
       "10760                     John Landis      109   \n",
       "10762                  Michael Cimino      183   \n",
       "10770                     Alan Parker      121   \n",
       "10771                    Ralph Bakshi      132   \n",
       "10775                 John Guillermin      140   \n",
       "10777                  Norman Jewison      145   \n",
       "10778                    Guy Hamilton      118   \n",
       "10779                   Sam Peckinpah      110   \n",
       "10780                  Philip Kaufman      115   \n",
       "10788                    Sidney Lumet      134   \n",
       "10791          Don Taylor|Mike Hodges      107   \n",
       "10793                    Martin Rosen       88   \n",
       "10822                    Mike Nichols      131   \n",
       "10828                Alfred Hitchcock      128   \n",
       "10829                    Howard Hawks      120   \n",
       "10835                     Robert Wise      182   \n",
       "10848               Richard Fleischer      100   \n",
       "\n",
       "                                                genres  \\\n",
       "0            Action|Adventure|Science Fiction|Thriller   \n",
       "1            Action|Adventure|Science Fiction|Thriller   \n",
       "2                   Adventure|Science Fiction|Thriller   \n",
       "3             Action|Adventure|Science Fiction|Fantasy   \n",
       "4                                Action|Crime|Thriller   \n",
       "5                     Western|Drama|Adventure|Thriller   \n",
       "6            Science Fiction|Action|Thriller|Adventure   \n",
       "7                      Drama|Adventure|Science Fiction   \n",
       "8                    Family|Animation|Adventure|Comedy   \n",
       "9                              Comedy|Animation|Family   \n",
       "10                              Action|Adventure|Crime   \n",
       "11            Science Fiction|Fantasy|Action|Adventure   \n",
       "12                               Drama|Science Fiction   \n",
       "13                       Action|Comedy|Science Fiction   \n",
       "14                    Action|Adventure|Science Fiction   \n",
       "15                         Crime|Drama|Mystery|Western   \n",
       "16                               Crime|Action|Thriller   \n",
       "17                    Science Fiction|Action|Adventure   \n",
       "18                        Romance|Fantasy|Family|Drama   \n",
       "19                       War|Adventure|Science Fiction   \n",
       "20     Action|Family|Science Fiction|Adventure|Mystery   \n",
       "21                                        Action|Drama   \n",
       "22                               Action|Drama|Thriller   \n",
       "23                                       Drama|Romance   \n",
       "24                                        Comedy|Drama   \n",
       "25                                              Action   \n",
       "26                                              Comedy   \n",
       "27                       Crime|Comedy|Action|Adventure   \n",
       "28                              Drama|Thriller|History   \n",
       "29                     Action|Science Fiction|Thriller   \n",
       "...                                                ...   \n",
       "10690                       Drama|Family|Music|Romance   \n",
       "10691                                Drama|Romance|War   \n",
       "10692                          Action|Adventure|Comedy   \n",
       "10716                                    Drama|History   \n",
       "10724                        Adventure|Action|Thriller   \n",
       "10725                      History|Drama|Western|Crime   \n",
       "10727                                            Drama   \n",
       "10728                                Adventure|Western   \n",
       "10755                                            Music   \n",
       "10756                                  Horror|Thriller   \n",
       "10757                                           Horror   \n",
       "10758         Adventure|Fantasy|Action|Science Fiction   \n",
       "10759                                  Horror|Thriller   \n",
       "10760                                           Comedy   \n",
       "10762                                        Drama|War   \n",
       "10770                                      Drama|Crime   \n",
       "10771                        Drama|Animation|Adventure   \n",
       "10775                                          Mystery   \n",
       "10777                                     Drama|Action   \n",
       "10778                    Action|Adventure|War|Thriller   \n",
       "10779                              Action|Comedy|Drama   \n",
       "10780          Horror|Thriller|Science Fiction|Mystery   \n",
       "10788   Adventure|Family|Fantasy|Music|Science Fiction   \n",
       "10791                     Action|Drama|Horror|Thriller   \n",
       "10793                        Adventure|Animation|Drama   \n",
       "10822                                            Drama   \n",
       "10828                                 Mystery|Thriller   \n",
       "10829                                   Action|Western   \n",
       "10835               Action|Adventure|Drama|War|Romance   \n",
       "10848                        Adventure|Science Fiction   \n",
       "\n",
       "                                    production_companies release_date  \\\n",
       "0      Universal Studios|Amblin Entertainment|Legenda...       6/9/15   \n",
       "1      Village Roadshow Pictures|Kennedy Miller Produ...      5/13/15   \n",
       "2      Summit Entertainment|Mandeville Films|Red Wago...      3/18/15   \n",
       "3              Lucasfilm|Truenorth Productions|Bad Robot     12/15/15   \n",
       "4      Universal Pictures|Original Film|Media Rights ...       4/1/15   \n",
       "5      Regency Enterprises|Appian Way|CatchPlay|Anony...     12/25/15   \n",
       "6                Paramount Pictures|Skydance Productions      6/23/15   \n",
       "7      Twentieth Century Fox Film Corporation|Scott F...      9/30/15   \n",
       "8          Universal Pictures|Illumination Entertainment      6/17/15   \n",
       "9      Walt Disney Pictures|Pixar Animation Studios|W...       6/9/15   \n",
       "10                          Columbia Pictures|Danjaq|B24     10/26/15   \n",
       "11     Village Roadshow Pictures|Dune Entertainment|A...       2/4/15   \n",
       "12     DNA Films|Universal Pictures International (UP...      1/21/15   \n",
       "13           Columbia Pictures|Happy Madison Productions      7/16/15   \n",
       "14     Marvel Studios|Prime Focus|Revolution Sun Studios      4/22/15   \n",
       "15     Double Feature Films|The Weinstein Company|Fil...     12/25/15   \n",
       "16     Twentieth Century Fox Film Corporation|M6 Film...       1/1/15   \n",
       "17                                        Marvel Studios      7/14/15   \n",
       "18     Walt Disney Pictures|Genre Films|Beagle Pug Fi...      3/12/15   \n",
       "19     Studio Babelsberg|StudioCanal|Lionsgate|Walt D...     11/18/15   \n",
       "20                     Walt Disney Pictures|Babieka|A113      5/19/15   \n",
       "21               Escape Artists|Riche-Ludwig Productions      6/15/15   \n",
       "22     New Line Cinema|Village Roadshow Pictures|Warn...      5/27/15   \n",
       "23     Focus Features|Trigger Street Productions|Mich...      2/11/15   \n",
       "24     Paramount Pictures|Plan B Entertainment|Regenc...     12/11/15   \n",
       "25     Paramount Pictures|Skydance Productions|China ...      7/23/15   \n",
       "26     Universal Pictures|Media Rights Capital|Fuzzy ...      6/25/15   \n",
       "27     Twentieth Century Fox Film Corporation|Marv Fi...      1/24/15   \n",
       "28     Participant Media|Open Road Films|Anonymous Co...      11/6/15   \n",
       "29     Gotham Group|Temple Hill Entertainment|TSG Ent...       9/9/15   \n",
       "...                                                  ...          ...   \n",
       "10690         Robert Wise Productions|Argyle Enterprises       3/2/65   \n",
       "10691                          Metro-Goldwyn-Mayer (MGM)     12/22/65   \n",
       "10692                  Twentieth Century-Fox Productions       6/3/65   \n",
       "10716                         George Stevens Productions      2/15/65   \n",
       "10724   Eon Productions|Metro-Goldwyn-Mayer (MGM)|Danjaq     12/12/69   \n",
       "10725  Twentieth Century Fox Film Corporation|Campani...      9/23/69   \n",
       "10727  United Artists|Florin Productions|Jerome Hellm...      5/25/69   \n",
       "10728                         Warner Brothers/Seven Arts      6/17/69   \n",
       "10755  Paramount Pictures|Robert Stigwood Organizatio...       7/7/78   \n",
       "10756                                 Universal Pictures      6/16/78   \n",
       "10757                       Laurel Group|Dawn Associates       9/2/78   \n",
       "10758       Warner Bros.|Dovemead Films|Film Export A.G.     12/14/78   \n",
       "10759  Compass International Pictures|Falcon Internat...     10/25/78   \n",
       "10760  Universal Pictures|Oregon Film Factory|Stage I...      7/27/78   \n",
       "10762                  Universal Pictures|EMI Films Ltd.      12/8/78   \n",
       "10770             Columbia Pictures|Casablanca Filmworks      10/6/78   \n",
       "10771                                      Fantasy Films     11/15/78   \n",
       "10775                 EMI Films Ltd.|Mersham Productions      10/6/78   \n",
       "10777                                chateau productions      4/26/78   \n",
       "10778                      Columbia Pictures Corporation      11/1/78   \n",
       "10779                                     EMI Films Ltd.      6/27/78   \n",
       "10780                            United Artists|Solofilm     12/19/78   \n",
       "10788              Universal Pictures|Motown Productions     10/24/78   \n",
       "10791  Twentieth Century Fox Film Corporation|Mace Ne...       6/9/78   \n",
       "10793         Nepenthe Productions|Watership Productions     10/14/78   \n",
       "10822                               Chenault Productions      6/21/66   \n",
       "10828                                 Universal Pictures      7/13/66   \n",
       "10829              Paramount Pictures|Laurel Productions     12/17/66   \n",
       "10835  Twentieth Century Fox Film Corporation|Solar P...     12/20/66   \n",
       "10848             Twentieth Century Fox Film Corporation      8/24/66   \n",
       "\n",
       "       vote_count  vote_average  release_year  budget_adj  revenue_adj  \\\n",
       "0            5562           6.5          2015  137.999939  1392.445893   \n",
       "1            6185           7.1          2015  137.999939   348.161292   \n",
       "2            2480           6.3          2015  101.199955   271.619025   \n",
       "3            5292           7.5          2015  183.999919  1902.723130   \n",
       "4            2947           7.3          2015  174.799923  1385.748801   \n",
       "5            3929           7.2          2015  124.199945   490.314247   \n",
       "6            2598           5.8          2015  142.599937   405.355076   \n",
       "7            4572           7.6          2015   99.359956   547.749654   \n",
       "8            2893           6.5          2015   68.079970  1064.192017   \n",
       "9            3935           8.0          2015  160.999929   785.411575   \n",
       "10           3254           6.2          2015  225.399901   810.220284   \n",
       "11           1937           5.2          2015  161.919932   169.268631   \n",
       "12           2854           7.6          2015   13.799994    33.919846   \n",
       "13           1575           5.8          2015   80.959964   224.146025   \n",
       "14           4304           7.4          2015  257.599887  1292.632337   \n",
       "15           2389           7.4          2015   40.479982   143.299245   \n",
       "16           1578           6.1          2015   44.159981   299.709578   \n",
       "17           3779           7.0          2015  119.599947   477.113780   \n",
       "18           1495           6.8          2015   87.399962   498.963025   \n",
       "19           2380           6.5          2015  147.199935   598.481290   \n",
       "20           1899           6.2          2015  174.799923   192.312730   \n",
       "21           1386           7.3          2015   27.599988    84.373004   \n",
       "22           2060           6.1          2015  101.199955   432.851375   \n",
       "23           1865           5.3          2015   36.799984   524.079119   \n",
       "24           1545           7.3          2015   25.759989   122.678732   \n",
       "25           2349           7.1          2015  137.999939   627.743452   \n",
       "26           1666           6.3          2015   62.559972   198.594430   \n",
       "27           3833           7.6          2015   74.519967   371.497802   \n",
       "28           1559           7.8          2015   18.399992    81.278719   \n",
       "29           1849           6.4          2015   56.119975   286.356246   \n",
       "...           ...           ...           ...         ...          ...   \n",
       "10690         620           7.2          1965   56.748622  1129.534862   \n",
       "10691         126           6.9          1965   96.887892   773.178594   \n",
       "10692          19           6.6          1965   38.755157   207.270883   \n",
       "10716          13           5.7          1965  138.411274    83.046764   \n",
       "10724         258           6.4          1969   41.609849   487.278044   \n",
       "10725         379           7.0          1969   35.665585   608.151066   \n",
       "10727         124           7.0          1969   21.399351   266.214187   \n",
       "10728         121           7.2          1969   37.116503     3.796251   \n",
       "10755         786           7.0          1978   20.056204   607.749015   \n",
       "10756         179           5.5          1978   66.854014   628.040001   \n",
       "10757         306           7.2          1978    2.172755   183.848538   \n",
       "10758         518           6.7          1978  183.848538  1003.538977   \n",
       "10759         522           7.3          1978    1.002810   233.989049   \n",
       "10760         230           6.7          1978    9.025292   471.320798   \n",
       "10762         464           7.4          1978   50.140510   167.135035   \n",
       "10770         141           7.5          1978    7.688212   116.994524   \n",
       "10771          91           6.0          1978   13.370803   101.856837   \n",
       "10775          51           6.2          1978   26.474190    48.670003   \n",
       "10777          13           6.7          1978    0.000037     0.000037   \n",
       "10778          39           6.6          1978   16.713503    24.167726   \n",
       "10779          31           6.2          1978   40.112408    76.096852   \n",
       "10780          87           6.5          1978   11.699452    80.380363   \n",
       "10788          30           6.1          1978   80.224817    70.360684   \n",
       "10791          71           6.1          1978   22.730365    88.642924   \n",
       "10793          67           6.8          1978    3.342701    12.414015   \n",
       "10822          74           7.5          1966   50.385110   226.643572   \n",
       "10828          46           6.3          1966   20.154044    87.334191   \n",
       "10829          36           6.9          1966   31.258922    40.308088   \n",
       "10835          28           7.0          1966   80.616176   134.360294   \n",
       "10848          42           6.7          1966   34.362645    80.616176   \n",
       "\n",
       "           profits  \n",
       "0      1254.445953  \n",
       "1       210.161353  \n",
       "2       170.419070  \n",
       "3      1718.723211  \n",
       "4      1210.948878  \n",
       "5       366.114302  \n",
       "6       262.755138  \n",
       "7       448.389698  \n",
       "8       996.112047  \n",
       "9       624.411646  \n",
       "10      584.820383  \n",
       "11        7.348699  \n",
       "12       20.119852  \n",
       "13      143.186061  \n",
       "14     1035.032450  \n",
       "15      102.819262  \n",
       "16      255.549598  \n",
       "17      357.513833  \n",
       "18      411.563064  \n",
       "19      451.281354  \n",
       "20       17.512807  \n",
       "21       56.773016  \n",
       "22      331.651420  \n",
       "23      487.279135  \n",
       "24       96.918743  \n",
       "25      489.743512  \n",
       "26      136.034458  \n",
       "27      296.977834  \n",
       "28       62.878727  \n",
       "29      230.236271  \n",
       "...            ...  \n",
       "10690  1072.786240  \n",
       "10691   676.290702  \n",
       "10692   168.515726  \n",
       "10716   -55.364510  \n",
       "10724   445.668195  \n",
       "10725   572.485481  \n",
       "10727   244.814836  \n",
       "10728   -33.320252  \n",
       "10755   587.692811  \n",
       "10756   561.185987  \n",
       "10757   181.675783  \n",
       "10758   819.690439  \n",
       "10759   232.986238  \n",
       "10760   462.295506  \n",
       "10762   116.994524  \n",
       "10770   109.306313  \n",
       "10771    88.486034  \n",
       "10775    22.195813  \n",
       "10777     0.000000  \n",
       "10778     7.454223  \n",
       "10779    35.984444  \n",
       "10780    68.680910  \n",
       "10788    -9.864133  \n",
       "10791    65.912559  \n",
       "10793     9.071314  \n",
       "10822   176.258462  \n",
       "10828    67.180147  \n",
       "10829     9.049166  \n",
       "10835    53.744118  \n",
       "10848    46.253531  \n",
       "\n",
       "[3854 rows x 15 columns]"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# concatanate the profits columns to the non zero revenue budget dataframe --> df_nzrb\n",
    "\n",
    "df_nzrb = pd.concat([df_nzrb, profits],axis=1)\n",
    "df_nzrb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>director</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "      <th>profits</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1329</th>\n",
       "      <td>12.037933</td>\n",
       "      <td>11.0</td>\n",
       "      <td>775.398007</td>\n",
       "      <td>Star Wars</td>\n",
       "      <td>George Lucas</td>\n",
       "      <td>121</td>\n",
       "      <td>Adventure|Action|Science Fiction</td>\n",
       "      <td>Lucasfilm|Twentieth Century Fox Film Corporation</td>\n",
       "      <td>3/20/77</td>\n",
       "      <td>4428</td>\n",
       "      <td>7.9</td>\n",
       "      <td>1977</td>\n",
       "      <td>39.575591</td>\n",
       "      <td>2789.712242</td>\n",
       "      <td>2750.136651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1386</th>\n",
       "      <td>9.432768</td>\n",
       "      <td>237.0</td>\n",
       "      <td>2781.505847</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>162</td>\n",
       "      <td>Action|Adventure|Fantasy|Science Fiction</td>\n",
       "      <td>Ingenious Film Partners|Twentieth Century Fox ...</td>\n",
       "      <td>12/10/09</td>\n",
       "      <td>8458</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2009</td>\n",
       "      <td>240.886903</td>\n",
       "      <td>2827.123750</td>\n",
       "      <td>2586.236848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5231</th>\n",
       "      <td>4.355219</td>\n",
       "      <td>200.0</td>\n",
       "      <td>1845.034188</td>\n",
       "      <td>Titanic</td>\n",
       "      <td>James Cameron</td>\n",
       "      <td>194</td>\n",
       "      <td>Drama|Romance|Thriller</td>\n",
       "      <td>Paramount Pictures|Twentieth Century Fox Film ...</td>\n",
       "      <td>11/18/97</td>\n",
       "      <td>4654</td>\n",
       "      <td>7.3</td>\n",
       "      <td>1997</td>\n",
       "      <td>271.692064</td>\n",
       "      <td>2506.405735</td>\n",
       "      <td>2234.713671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10594</th>\n",
       "      <td>2.010733</td>\n",
       "      <td>8.0</td>\n",
       "      <td>441.306145</td>\n",
       "      <td>The Exorcist</td>\n",
       "      <td>William Friedkin</td>\n",
       "      <td>122</td>\n",
       "      <td>Drama|Horror|Thriller</td>\n",
       "      <td>Warner Bros.|Hoya Productions</td>\n",
       "      <td>12/26/73</td>\n",
       "      <td>1113</td>\n",
       "      <td>7.2</td>\n",
       "      <td>1973</td>\n",
       "      <td>39.289277</td>\n",
       "      <td>2167.324901</td>\n",
       "      <td>2128.035625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9806</th>\n",
       "      <td>2.563191</td>\n",
       "      <td>7.0</td>\n",
       "      <td>470.654000</td>\n",
       "      <td>Jaws</td>\n",
       "      <td>Steven Spielberg</td>\n",
       "      <td>124</td>\n",
       "      <td>Horror|Thriller|Adventure</td>\n",
       "      <td>Universal Pictures|Zanuck/Brown Productions</td>\n",
       "      <td>6/18/75</td>\n",
       "      <td>1415</td>\n",
       "      <td>7.3</td>\n",
       "      <td>1975</td>\n",
       "      <td>28.362748</td>\n",
       "      <td>1907.005842</td>\n",
       "      <td>1878.643094</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       popularity  budget      revenue original_title          director  \\\n",
       "1329    12.037933    11.0   775.398007      Star Wars      George Lucas   \n",
       "1386     9.432768   237.0  2781.505847         Avatar     James Cameron   \n",
       "5231     4.355219   200.0  1845.034188        Titanic     James Cameron   \n",
       "10594    2.010733     8.0   441.306145   The Exorcist  William Friedkin   \n",
       "9806     2.563191     7.0   470.654000           Jaws  Steven Spielberg   \n",
       "\n",
       "       runtime                                    genres  \\\n",
       "1329       121          Adventure|Action|Science Fiction   \n",
       "1386       162  Action|Adventure|Fantasy|Science Fiction   \n",
       "5231       194                    Drama|Romance|Thriller   \n",
       "10594      122                     Drama|Horror|Thriller   \n",
       "9806       124                 Horror|Thriller|Adventure   \n",
       "\n",
       "                                    production_companies release_date  \\\n",
       "1329    Lucasfilm|Twentieth Century Fox Film Corporation      3/20/77   \n",
       "1386   Ingenious Film Partners|Twentieth Century Fox ...     12/10/09   \n",
       "5231   Paramount Pictures|Twentieth Century Fox Film ...     11/18/97   \n",
       "10594                      Warner Bros.|Hoya Productions     12/26/73   \n",
       "9806         Universal Pictures|Zanuck/Brown Productions      6/18/75   \n",
       "\n",
       "       vote_count  vote_average  release_year  budget_adj  revenue_adj  \\\n",
       "1329         4428           7.9          1977   39.575591  2789.712242   \n",
       "1386         8458           7.1          2009  240.886903  2827.123750   \n",
       "5231         4654           7.3          1997  271.692064  2506.405735   \n",
       "10594        1113           7.2          1973   39.289277  2167.324901   \n",
       "9806         1415           7.3          1975   28.362748  1907.005842   \n",
       "\n",
       "           profits  \n",
       "1329   2750.136651  \n",
       "1386   2586.236848  \n",
       "5231   2234.713671  \n",
       "10594  2128.035625  \n",
       "9806   1878.643094  "
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort the dataframe in the descending order of profits\n",
    "# store the first 5 rows in top_5p\n",
    "\n",
    "top_5p = df_nzrb.sort_values(['profits'], ascending=False).head(5)\n",
    "top_5p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7699f6ab00>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting\n",
    "\n",
    "plt.subplots(figsize=(8,5))\n",
    "\n",
    "plt.bar(top_5p.original_title, top_5p.profits,color='orange')\n",
    "plt.ylabel('Profits (Million $)', fontsize=12)\n",
    "plt.title('Top 5 Most Profitable Movies',fontsize=14)\n",
    "plt.xticks(rotation=25, ha=\"right\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Result (from first 2 graphs): Most profitable movies do not always have the highest budgets. However this analysis was done by considering non zero budget and revenue adj columns. Hence, the result is only valid for the data which is available."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 3. Most popular Genre Year on Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>director</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32.985763</td>\n",
       "      <td>0.00015</td>\n",
       "      <td>0.001514</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>1392.445893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28.419936</td>\n",
       "      <td>0.00015</td>\n",
       "      <td>0.000378</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Village Roadshow Pictures|Kennedy Miller Produ...</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>348.161292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13.112507</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.000295</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Robert Schwentke</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Summit Entertainment|Mandeville Films|Red Wago...</td>\n",
       "      <td>3/18/15</td>\n",
       "      <td>2480</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>101.199955</td>\n",
       "      <td>271.619025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.173104</td>\n",
       "      <td>0.00020</td>\n",
       "      <td>0.002068</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>J.J. Abrams</td>\n",
       "      <td>136</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>Lucasfilm|Truenorth Productions|Bad Robot</td>\n",
       "      <td>12/15/15</td>\n",
       "      <td>5292</td>\n",
       "      <td>7.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>183.999919</td>\n",
       "      <td>1902.723130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9.335014</td>\n",
       "      <td>0.00019</td>\n",
       "      <td>0.001506</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>James Wan</td>\n",
       "      <td>137</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>Universal Pictures|Original Film|Media Rights ...</td>\n",
       "      <td>4/1/15</td>\n",
       "      <td>2947</td>\n",
       "      <td>7.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>174.799923</td>\n",
       "      <td>1385.748801</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   popularity   budget   revenue                original_title  \\\n",
       "0   32.985763  0.00015  0.001514                Jurassic World   \n",
       "1   28.419936  0.00015  0.000378            Mad Max: Fury Road   \n",
       "2   13.112507  0.00011  0.000295                     Insurgent   \n",
       "3   11.173104  0.00020  0.002068  Star Wars: The Force Awakens   \n",
       "4    9.335014  0.00019  0.001506                     Furious 7   \n",
       "\n",
       "           director  runtime                                     genres  \\\n",
       "0   Colin Trevorrow      124  Action|Adventure|Science Fiction|Thriller   \n",
       "1     George Miller      120  Action|Adventure|Science Fiction|Thriller   \n",
       "2  Robert Schwentke      119         Adventure|Science Fiction|Thriller   \n",
       "3       J.J. Abrams      136   Action|Adventure|Science Fiction|Fantasy   \n",
       "4         James Wan      137                      Action|Crime|Thriller   \n",
       "\n",
       "                                production_companies release_date  vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15        5562   \n",
       "1  Village Roadshow Pictures|Kennedy Miller Produ...      5/13/15        6185   \n",
       "2  Summit Entertainment|Mandeville Films|Red Wago...      3/18/15        2480   \n",
       "3          Lucasfilm|Truenorth Productions|Bad Robot     12/15/15        5292   \n",
       "4  Universal Pictures|Original Film|Media Rights ...       4/1/15        2947   \n",
       "\n",
       "   vote_average  release_year  budget_adj  revenue_adj  \n",
       "0           6.5          2015  137.999939  1392.445893  \n",
       "1           7.1          2015  137.999939   348.161292  \n",
       "2           6.3          2015  101.199955   271.619025  \n",
       "3           7.5          2015  183.999919  1902.723130  \n",
       "4           7.3          2015  174.799923  1385.748801  "
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "# split the values in the genre column into different individual columns\n",
    "\n",
    "genre = df.genres.str.split('|',expand=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>genre_4</th>\n",
       "      <th>genre_5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  genre_1    genre_2          genre_3   genre_4 genre_5\n",
       "0  Action  Adventure  Science Fiction  Thriller    None\n",
       "1  Action  Adventure  Science Fiction  Thriller    None"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# confirm the operation\n",
    "\n",
    "genre.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>genre_4</th>\n",
       "      <th>genre_5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  genre_1    genre_2          genre_3   genre_4 genre_5\n",
       "0  Action  Adventure  Science Fiction  Thriller    None\n",
       "1  Action  Adventure  Science Fiction  Thriller    None"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# rename the columns in the genre dataframe \n",
    "\n",
    "genre.columns = ['genre_1','genre_2','genre_3','genre_4','genre_5']\n",
    "genre.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>director</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "      <th>genre_1</th>\n",
       "      <th>genre_2</th>\n",
       "      <th>genre_3</th>\n",
       "      <th>genre_4</th>\n",
       "      <th>genre_5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32.985763</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1513.528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>1392.445893</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28.419936</td>\n",
       "      <td>150.0</td>\n",
       "      <td>378.436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Village Roadshow Pictures|Kennedy Miller Produ...</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>348.161292</td>\n",
       "      <td>Action</td>\n",
       "      <td>Adventure</td>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>Thriller</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   popularity  budget      revenue      original_title         director  \\\n",
       "0   32.985763   150.0  1513.528810      Jurassic World  Colin Trevorrow   \n",
       "1   28.419936   150.0   378.436354  Mad Max: Fury Road    George Miller   \n",
       "\n",
       "   runtime                                     genres  \\\n",
       "0      124  Action|Adventure|Science Fiction|Thriller   \n",
       "1      120  Action|Adventure|Science Fiction|Thriller   \n",
       "\n",
       "                                production_companies release_date  vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15        5562   \n",
       "1  Village Roadshow Pictures|Kennedy Miller Produ...      5/13/15        6185   \n",
       "\n",
       "   vote_average  release_year  budget_adj  revenue_adj genre_1    genre_2  \\\n",
       "0           6.5          2015  137.999939  1392.445893  Action  Adventure   \n",
       "1           7.1          2015  137.999939   348.161292  Action  Adventure   \n",
       "\n",
       "           genre_3   genre_4 genre_5  \n",
       "0  Science Fiction  Thriller    None  \n",
       "1  Science Fiction  Thriller    None  "
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# concatanate the genre dataframe with original dataframe (df)\n",
    "\n",
    "df1 = pd.concat([df,genre],axis=1)\n",
    "df1.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "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",
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       "    }\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>popularity</th>\n",
       "      <th>release_year</th>\n",
       "      <th>genre_1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32.985763</td>\n",
       "      <td>2015</td>\n",
       "      <td>Action</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28.419936</td>\n",
       "      <td>2015</td>\n",
       "      <td>Action</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   popularity  release_year genre_1\n",
       "0   32.985763          2015  Action\n",
       "1   28.419936          2015  Action"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# extract the relevant columns for further analysis\n",
    "# here only the first value in genre is considered for all rows and further analysis is carried on \n",
    "\n",
    "df2 = df1[['popularity','release_year','genre_1']]\n",
    "df2.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "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",
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       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>popularity</th>\n",
       "      <th>genre_1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>max</th>\n",
       "      <th>first</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>release_year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1960</th>\n",
       "      <td>2.610362</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1961</th>\n",
       "      <td>2.631987</td>\n",
       "      <td>Adventure</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             popularity    genre_1\n",
       "                    max      first\n",
       "release_year                      \n",
       "1960           2.610362      Drama\n",
       "1961           2.631987  Adventure"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# group the dataframe by release\n",
    "# use agg function to find the max. value of popularity and the corresponding genre\n",
    "\n",
    "df3 = pd.DataFrame(df2.groupby(['release_year']).agg({'popularity':[max],'genre_1':['first']}))\n",
    "df3.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "# select the first index in the multilevel indexing\n",
    "\n",
    "df3.columns = df3.columns.get_level_values(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "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>release_year</th>\n",
       "      <th>popularity</th>\n",
       "      <th>genre_1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1960</td>\n",
       "      <td>2.610362</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1961</td>\n",
       "      <td>2.631987</td>\n",
       "      <td>Adventure</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1962</td>\n",
       "      <td>3.170651</td>\n",
       "      <td>Adventure</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1963</td>\n",
       "      <td>2.508235</td>\n",
       "      <td>Action</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1964</td>\n",
       "      <td>3.153791</td>\n",
       "      <td>Adventure</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   release_year  popularity    genre_1\n",
       "0          1960    2.610362      Drama\n",
       "1          1961    2.631987  Adventure\n",
       "2          1962    3.170651  Adventure\n",
       "3          1963    2.508235     Action\n",
       "4          1964    3.153791  Adventure"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# reset the index of the dataframe \n",
    "\n",
    "df3 = df3.reset_index()\n",
    "df3.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f769a120550>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(15,7))\n",
    "\n",
    "bar_plot = plt.bar(df3.release_year,df3.popularity)\n",
    "plt.ylabel('Popularity', fontsize=12)\n",
    "\n",
    "# adding text/labels on top of the bar graphs\n",
    "\n",
    "def autolabel(rects):\n",
    "    for idx,rect in enumerate(bar_plot):\n",
    "        height = rect.get_height()\n",
    "        ax.text(rect.get_x() + rect.get_width()/2., 1.05*height,\n",
    "            df3.genre_1[idx],\n",
    "            ha='center', va='bottom', rotation=90)\n",
    "\n",
    "autolabel(bar_plot)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Result: Graph is difficult to read and further filtering is carried out in next question"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 4. Most Popular Genres of All Time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "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>release_year</th>\n",
       "      <th>popularity</th>\n",
       "      <th>genre_1</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1960</td>\n",
       "      <td>2.610362</td>\n",
       "      <td>Drama</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1961</td>\n",
       "      <td>2.631987</td>\n",
       "      <td>Adventure</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1962</td>\n",
       "      <td>3.170651</td>\n",
       "      <td>Adventure</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1963</td>\n",
       "      <td>2.508235</td>\n",
       "      <td>Action</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1964</td>\n",
       "      <td>3.153791</td>\n",
       "      <td>Adventure</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   release_year  popularity    genre_1\n",
       "0          1960    2.610362      Drama\n",
       "1          1961    2.631987  Adventure\n",
       "2          1962    3.170651  Adventure\n",
       "3          1963    2.508235     Action\n",
       "4          1964    3.153791  Adventure"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [],
   "source": [
    "# count the number of times a genre value appears\n",
    "\n",
    "top_gen = pd.DataFrame(df3.genre_1.value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [],
   "source": [
    "# calulate the instances of each genre values and find its portion of total values\n",
    "\n",
    "popularity_prop = top_gen.genre_1/top_gen.genre_1.sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f7699f6a9b0>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(15,7))\n",
    "\n",
    "bar_plot = plt.bar(top_gen.index,popularity_prop)\n",
    "plt.ylabel('Popularity Proportional (%)', fontsize=12)\n",
    "plt.title('Most Popular Genres of All Time',fontsize=14);\n",
    "plt.xticks(rotation=25, ha=\"right\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Result: Action and Aventure appears to be the most popular genre. However, this analysis is carried out by considering only the first value in the genre column."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Research Question 5. Number of Movies Released in Different Quaters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "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>m</th>\n",
       "      <th>d</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>13</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>18</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    m   d   y\n",
       "0   6   9  15\n",
       "1   5  13  15\n",
       "2   3  18  15\n",
       "3  12  15  15\n",
       "4   4   1  15"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# extract the months from the release data column and store it has an integer\n",
    "\n",
    "months = pd.DataFrame(df.release_date.str.split('/',expand=True)).astype(int)\n",
    "\n",
    "# rename the columns\n",
    "\n",
    "months.columns = ['m','d','y']\n",
    "months.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "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>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>director</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "      <th>m</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32.985763</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1513.528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>1392.445893</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28.419936</td>\n",
       "      <td>150.0</td>\n",
       "      <td>378.436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Village Roadshow Pictures|Kennedy Miller Produ...</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>348.161292</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13.112507</td>\n",
       "      <td>110.0</td>\n",
       "      <td>295.238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Robert Schwentke</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Summit Entertainment|Mandeville Films|Red Wago...</td>\n",
       "      <td>3/18/15</td>\n",
       "      <td>2480</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>101.199955</td>\n",
       "      <td>271.619025</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.173104</td>\n",
       "      <td>200.0</td>\n",
       "      <td>2068.178225</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>J.J. Abrams</td>\n",
       "      <td>136</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>Lucasfilm|Truenorth Productions|Bad Robot</td>\n",
       "      <td>12/15/15</td>\n",
       "      <td>5292</td>\n",
       "      <td>7.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>183.999919</td>\n",
       "      <td>1902.723130</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9.335014</td>\n",
       "      <td>190.0</td>\n",
       "      <td>1506.249360</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>James Wan</td>\n",
       "      <td>137</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>Universal Pictures|Original Film|Media Rights ...</td>\n",
       "      <td>4/1/15</td>\n",
       "      <td>2947</td>\n",
       "      <td>7.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>174.799923</td>\n",
       "      <td>1385.748801</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   popularity  budget      revenue                original_title  \\\n",
       "0   32.985763   150.0  1513.528810                Jurassic World   \n",
       "1   28.419936   150.0   378.436354            Mad Max: Fury Road   \n",
       "2   13.112507   110.0   295.238201                     Insurgent   \n",
       "3   11.173104   200.0  2068.178225  Star Wars: The Force Awakens   \n",
       "4    9.335014   190.0  1506.249360                     Furious 7   \n",
       "\n",
       "           director  runtime                                     genres  \\\n",
       "0   Colin Trevorrow      124  Action|Adventure|Science Fiction|Thriller   \n",
       "1     George Miller      120  Action|Adventure|Science Fiction|Thriller   \n",
       "2  Robert Schwentke      119         Adventure|Science Fiction|Thriller   \n",
       "3       J.J. Abrams      136   Action|Adventure|Science Fiction|Fantasy   \n",
       "4         James Wan      137                      Action|Crime|Thriller   \n",
       "\n",
       "                                production_companies release_date  vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15        5562   \n",
       "1  Village Roadshow Pictures|Kennedy Miller Produ...      5/13/15        6185   \n",
       "2  Summit Entertainment|Mandeville Films|Red Wago...      3/18/15        2480   \n",
       "3          Lucasfilm|Truenorth Productions|Bad Robot     12/15/15        5292   \n",
       "4  Universal Pictures|Original Film|Media Rights ...       4/1/15        2947   \n",
       "\n",
       "   vote_average  release_year  budget_adj  revenue_adj   m  \n",
       "0           6.5          2015  137.999939  1392.445893   6  \n",
       "1           7.1          2015  137.999939   348.161292   5  \n",
       "2           6.3          2015  101.199955   271.619025   3  \n",
       "3           7.5          2015  183.999919  1902.723130  12  \n",
       "4           7.3          2015  174.799923  1385.748801   4  "
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# concatanate the months column to the original dataframe (df)\n",
    "\n",
    "df4 = pd.concat([df,months.m], axis=1)\n",
    "df4.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [],
   "source": [
    "# divide the year into different quaters\n",
    "\n",
    "\n",
    "bin_edges = [1,3,6,9,12]\n",
    "bin_names = ['Q1','Q2','Q3','Q4']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>popularity</th>\n",
       "      <th>budget</th>\n",
       "      <th>revenue</th>\n",
       "      <th>original_title</th>\n",
       "      <th>director</th>\n",
       "      <th>runtime</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>release_year</th>\n",
       "      <th>budget_adj</th>\n",
       "      <th>revenue_adj</th>\n",
       "      <th>m</th>\n",
       "      <th>quater</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>32.985763</td>\n",
       "      <td>150.0</td>\n",
       "      <td>1513.528810</td>\n",
       "      <td>Jurassic World</td>\n",
       "      <td>Colin Trevorrow</td>\n",
       "      <td>124</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Universal Studios|Amblin Entertainment|Legenda...</td>\n",
       "      <td>6/9/15</td>\n",
       "      <td>5562</td>\n",
       "      <td>6.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>1392.445893</td>\n",
       "      <td>6</td>\n",
       "      <td>Q2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28.419936</td>\n",
       "      <td>150.0</td>\n",
       "      <td>378.436354</td>\n",
       "      <td>Mad Max: Fury Road</td>\n",
       "      <td>George Miller</td>\n",
       "      <td>120</td>\n",
       "      <td>Action|Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Village Roadshow Pictures|Kennedy Miller Produ...</td>\n",
       "      <td>5/13/15</td>\n",
       "      <td>6185</td>\n",
       "      <td>7.1</td>\n",
       "      <td>2015</td>\n",
       "      <td>137.999939</td>\n",
       "      <td>348.161292</td>\n",
       "      <td>5</td>\n",
       "      <td>Q2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13.112507</td>\n",
       "      <td>110.0</td>\n",
       "      <td>295.238201</td>\n",
       "      <td>Insurgent</td>\n",
       "      <td>Robert Schwentke</td>\n",
       "      <td>119</td>\n",
       "      <td>Adventure|Science Fiction|Thriller</td>\n",
       "      <td>Summit Entertainment|Mandeville Films|Red Wago...</td>\n",
       "      <td>3/18/15</td>\n",
       "      <td>2480</td>\n",
       "      <td>6.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>101.199955</td>\n",
       "      <td>271.619025</td>\n",
       "      <td>3</td>\n",
       "      <td>Q1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.173104</td>\n",
       "      <td>200.0</td>\n",
       "      <td>2068.178225</td>\n",
       "      <td>Star Wars: The Force Awakens</td>\n",
       "      <td>J.J. Abrams</td>\n",
       "      <td>136</td>\n",
       "      <td>Action|Adventure|Science Fiction|Fantasy</td>\n",
       "      <td>Lucasfilm|Truenorth Productions|Bad Robot</td>\n",
       "      <td>12/15/15</td>\n",
       "      <td>5292</td>\n",
       "      <td>7.5</td>\n",
       "      <td>2015</td>\n",
       "      <td>183.999919</td>\n",
       "      <td>1902.723130</td>\n",
       "      <td>12</td>\n",
       "      <td>Q4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9.335014</td>\n",
       "      <td>190.0</td>\n",
       "      <td>1506.249360</td>\n",
       "      <td>Furious 7</td>\n",
       "      <td>James Wan</td>\n",
       "      <td>137</td>\n",
       "      <td>Action|Crime|Thriller</td>\n",
       "      <td>Universal Pictures|Original Film|Media Rights ...</td>\n",
       "      <td>4/1/15</td>\n",
       "      <td>2947</td>\n",
       "      <td>7.3</td>\n",
       "      <td>2015</td>\n",
       "      <td>174.799923</td>\n",
       "      <td>1385.748801</td>\n",
       "      <td>4</td>\n",
       "      <td>Q2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   popularity  budget      revenue                original_title  \\\n",
       "0   32.985763   150.0  1513.528810                Jurassic World   \n",
       "1   28.419936   150.0   378.436354            Mad Max: Fury Road   \n",
       "2   13.112507   110.0   295.238201                     Insurgent   \n",
       "3   11.173104   200.0  2068.178225  Star Wars: The Force Awakens   \n",
       "4    9.335014   190.0  1506.249360                     Furious 7   \n",
       "\n",
       "           director  runtime                                     genres  \\\n",
       "0   Colin Trevorrow      124  Action|Adventure|Science Fiction|Thriller   \n",
       "1     George Miller      120  Action|Adventure|Science Fiction|Thriller   \n",
       "2  Robert Schwentke      119         Adventure|Science Fiction|Thriller   \n",
       "3       J.J. Abrams      136   Action|Adventure|Science Fiction|Fantasy   \n",
       "4         James Wan      137                      Action|Crime|Thriller   \n",
       "\n",
       "                                production_companies release_date  vote_count  \\\n",
       "0  Universal Studios|Amblin Entertainment|Legenda...       6/9/15        5562   \n",
       "1  Village Roadshow Pictures|Kennedy Miller Produ...      5/13/15        6185   \n",
       "2  Summit Entertainment|Mandeville Films|Red Wago...      3/18/15        2480   \n",
       "3          Lucasfilm|Truenorth Productions|Bad Robot     12/15/15        5292   \n",
       "4  Universal Pictures|Original Film|Media Rights ...       4/1/15        2947   \n",
       "\n",
       "   vote_average  release_year  budget_adj  revenue_adj   m quater  \n",
       "0           6.5          2015  137.999939  1392.445893   6     Q2  \n",
       "1           7.1          2015  137.999939   348.161292   5     Q2  \n",
       "2           6.3          2015  101.199955   271.619025   3     Q1  \n",
       "3           7.5          2015  183.999919  1902.723130  12     Q4  \n",
       "4           7.3          2015  174.799923  1385.748801   4     Q2  "
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a new column quater which contains the Q1, Q2, Q3, Q4 values corresponding to the different months \n",
    "\n",
    "df4[\"quater\"] = pd.cut(df4.m,bin_edges,labels=bin_names).astype(str)\n",
    "df4.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# extract the Q1, Q2, Q3, Q4 and store it in different dataframes\n",
    "\n",
    "df_q1 = df4.query('quater==\"Q1\"')\n",
    "df_q2 = df4.query('quater==\"Q2\"')\n",
    "df_q3 = df4.query('quater==\"Q3\"')\n",
    "df_q4 = df4.query('quater==\"Q4\"')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {},
   "outputs": [
    {
     "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>index</th>\n",
       "      <th>release_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2009</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index  release_year\n",
       "0   2014           100\n",
       "1   2015            96\n",
       "2   2009            85\n",
       "3   2011            83\n",
       "4   2013            80"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# count how many movies are released in each quater for every single year\n",
    "\n",
    "Q1_mov = pd.DataFrame(df_q1.release_year.value_counts()).reset_index()\n",
    "Q2_mov = pd.DataFrame(df_q2.release_year.value_counts()).reset_index()\n",
    "Q3_mov = pd.DataFrame(df_q3.release_year.value_counts()).reset_index()\n",
    "Q4_mov = pd.DataFrame(df_q4.release_year.value_counts()).reset_index()\n",
    "Q1_mov.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [],
   "source": [
    "# rename columns\n",
    "\n",
    "Q1_mov.columns=['year','number_of_movies']\n",
    "Q2_mov.columns=['year','number_of_movies']\n",
    "Q3_mov.columns=['year','number_of_movies']\n",
    "Q4_mov.columns=['year','number_of_movies']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "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>number_of_movies</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2015</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2012</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  number_of_movies\n",
       "1  2015                96\n",
       "0  2014               100\n",
       "4  2013                80\n",
       "6  2012                76\n",
       "3  2011                83"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort year columns in descending order\n",
    "\n",
    "Q1_mov = Q1_mov.sort_values('year', ascending=False)\n",
    "Q2_mov = Q2_mov.sort_values('year', ascending=False)\n",
    "Q3_mov = Q3_mov.sort_values('year', ascending=False)\n",
    "Q4_mov = Q4_mov.sort_values('year', ascending=False)\n",
    "Q1_mov.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f769e2a8128>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotting\n",
    "\n",
    "plt.subplots(figsize=(10,5))\n",
    "\n",
    "plt.plot(Q1_mov.year,Q1_mov.number_of_movies,label='Q1')\n",
    "plt.plot(Q2_mov.year,Q2_mov.number_of_movies,label='Q2')\n",
    "plt.plot(Q3_mov.year,Q3_mov.number_of_movies,label='Q3')\n",
    "plt.plot(Q4_mov.year,Q4_mov.number_of_movies,label='Q4')\n",
    "plt.legend(loc=\"upper left\")\n",
    "plt.ylabel('Number of Movies', fontsize=12)\n",
    "plt.title('Quaterally Movie Releases Year on Year',fontsize=14);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Result: Q3 and Q4 are the strongest quaters for movie releases. Q1 has the least number of movies releases consistently."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from subprocess import call\n",
    "call(['python', '-m', 'nbconvert', 'Investigate_a_Dataset.ipynb'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}