unit08_visualization principles.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization principles\n",
    "<a id='section0'></a>\n",
    "\n",
    "1. [Show the data - Jitter](#section1)\n",
    "2. [Consider the scale - logs](#section2)\n",
    "3. [Consider the baseline](#section3)\n",
    "4. [Ease comparisons](#section4)\n",
    "5. [Set the scale (think about 0's)](#section5)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import matplotlib as mpl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "---\n",
    "<a id='section1'></a>\n",
    "## 1. Show the data - Jitter \n",
    "\n",
    "Google it: [Jitter in python](https://www.google.com/search?q=jitter+in+python&sxsrf=ALeKk01NFy18kBeX8CmyToZAT-l4YIlJeQ%3A1621252840686&ei=6FqiYPSmKYzdkwXckaGgCw&oq=jitter&gs_lcp=Cgdnd3Mtd2l6EAMYADIECCMQJzIFCAAQkQIyBQgAEMsBMgUIABDLATICCAAyAggAMgUIABDLATICCAAyAggAMgIIADoECAAQQzoFCAAQsQM6CAgAELEDEJECOggILhCxAxCDAToFCC4QsQM6BwgAEIcCEBQ6AgguUJ8gWIcuYJg1aAFwAngAgAGdAYgB1giSAQMwLjiYAQCgAQGqAQdnd3Mtd2l6wAEB&sclient=gws-wiz)\n",
    "\n",
    "Documentation contains such a good example we'll just [follow it](https://seaborn.pydata.org/generated/seaborn.stripplot.html)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "tips = sns.load_dataset(\"tips\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>total_bill</th>\n",
       "      <th>tip</th>\n",
       "      <th>sex</th>\n",
       "      <th>smoker</th>\n",
       "      <th>day</th>\n",
       "      <th>time</th>\n",
       "      <th>size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>16.99</td>\n",
       "      <td>1.01</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.34</td>\n",
       "      <td>1.66</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.01</td>\n",
       "      <td>3.50</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23.68</td>\n",
       "      <td>3.31</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24.59</td>\n",
       "      <td>3.61</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>Sun</td>\n",
       "      <td>Dinner</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   total_bill   tip     sex smoker  day    time  size\n",
       "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
       "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
       "2       21.01  3.50    Male     No  Sun  Dinner     3\n",
       "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
       "4       24.59  3.61  Female     No  Sun  Dinner     4"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['total_bill', 'tip', 'sex', 'smoker', 'day', 'time', 'size'], dtype='object')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tips.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### <span style=\"color:blue\"> Exercise:</span>\n",
    ">\n",
    "> plot a barplot of the average bill for each day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is a countplot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='day', ylabel='count'>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4,3))\n",
    "sns.countplot(data=tips, x=\"day\")\n",
    "#sns.barplot(data=tips, x=\"day\", y = \"total_bill\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### What is the difference between a `barplot` and a `countplot`?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Now the same, but using a scatterplot for a categorical x axis\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4,3))\n",
    "sns.stripplot(x=\"day\", y=\"total_bill\", data=tips)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use a smaller amount of jitter:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='day', ylabel='total_bill'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4,3))\n",
    "sns.stripplot(x=\"day\", y=\"total_bill\", data=tips, jitter=0.3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Two axes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib.lines import Line2D"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4,3))\n",
    "ax = sns.lineplot(x=\"day\", y=\"total_bill\", legend=False,color=\"g\", data=tips,errorbar=None)\n",
    "sns.lineplot(x=\"day\", y=\"tip\",legend=False,color=\"b\", data=tips,errorbar=None, ax=ax.twinx())\n",
    "ax.figure.legend(handles=[Line2D([], [], marker='_', color=\"g\", label='total_bill'), \n",
    "                          Line2D([], [], marker='_', color=\"b\", label='tip')], \n",
    "                          bbox_to_anchor=(1.04, 0.5), \n",
    "                          loc=\"center left\")  #put the center of the left edge of the bounding box at the coordinates (1.04, 0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Some good explanations of legend positions: https://stackoverflow.com/questions/4700614/how-to-put-the-legend-outside-the-plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "---\n",
    "[(menu)](#section0)\n",
    "\n",
    "<a id='section2'></a>\n",
    "## 2. Consider the scale - logs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>carat</th>\n",
       "      <th>cut</th>\n",
       "      <th>color</th>\n",
       "      <th>clarity</th>\n",
       "      <th>depth</th>\n",
       "      <th>table</th>\n",
       "      <th>price</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.23</td>\n",
       "      <td>Ideal</td>\n",
       "      <td>E</td>\n",
       "      <td>SI2</td>\n",
       "      <td>61.5</td>\n",
       "      <td>55.0</td>\n",
       "      <td>326</td>\n",
       "      <td>3.95</td>\n",
       "      <td>3.98</td>\n",
       "      <td>2.43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.21</td>\n",
       "      <td>Premium</td>\n",
       "      <td>E</td>\n",
       "      <td>SI1</td>\n",
       "      <td>59.8</td>\n",
       "      <td>61.0</td>\n",
       "      <td>326</td>\n",
       "      <td>3.89</td>\n",
       "      <td>3.84</td>\n",
       "      <td>2.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.23</td>\n",
       "      <td>Good</td>\n",
       "      <td>E</td>\n",
       "      <td>VS1</td>\n",
       "      <td>56.9</td>\n",
       "      <td>65.0</td>\n",
       "      <td>327</td>\n",
       "      <td>4.05</td>\n",
       "      <td>4.07</td>\n",
       "      <td>2.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.29</td>\n",
       "      <td>Premium</td>\n",
       "      <td>I</td>\n",
       "      <td>VS2</td>\n",
       "      <td>62.4</td>\n",
       "      <td>58.0</td>\n",
       "      <td>334</td>\n",
       "      <td>4.20</td>\n",
       "      <td>4.23</td>\n",
       "      <td>2.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.31</td>\n",
       "      <td>Good</td>\n",
       "      <td>J</td>\n",
       "      <td>SI2</td>\n",
       "      <td>63.3</td>\n",
       "      <td>58.0</td>\n",
       "      <td>335</td>\n",
       "      <td>4.34</td>\n",
       "      <td>4.35</td>\n",
       "      <td>2.75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   carat      cut color clarity  depth  table  price     x     y     z\n",
       "0   0.23    Ideal     E     SI2   61.5   55.0    326  3.95  3.98  2.43\n",
       "1   0.21  Premium     E     SI1   59.8   61.0    326  3.89  3.84  2.31\n",
       "2   0.23     Good     E     VS1   56.9   65.0    327  4.05  4.07  2.31\n",
       "3   0.29  Premium     I     VS2   62.4   58.0    334  4.20  4.23  2.63\n",
       "4   0.31     Good     J     SI2   63.3   58.0    335  4.34  4.35  2.75"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "diamonds = sns.load_dataset(\"diamonds\")\n",
    "diamonds.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "scaling th y-axis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,4))\n",
    "diamonds_i = diamonds.loc[(diamonds.cut == 'Ideal')&(diamonds.color == 'E')]\n",
    "ax = sns.boxplot(x=\"clarity\", y = diamonds_i.price, data=diamonds_i)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,4))\n",
    "diamonds_i = diamonds.loc[(diamonds.cut == 'Ideal')&(diamonds.color == 'E')]\n",
    "ax = sns.boxplot(x=\"clarity\", y = diamonds_i.price, data=diamonds_i)\n",
    "ax.set_yscale(\"log\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "scaling the x-axis:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='price', ylabel='Count'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(figsize=(15, 5), ncols=2)\n",
    "sns.histplot(diamonds.price[diamonds.cut == 'Ideal'], ax = axes[0],bins = 25)\n",
    "sns.histplot(diamonds.price[diamonds.cut == 'Ideal'], log_scale = True, ax = axes[1], bins=25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "[(menu)](#section0)\n",
    "\n",
    "---\n",
    "<a id='section3'></a>\n",
    "## 3. Consider the baseline\n",
    "\n",
    "Let look at a case were we have 2 binary variables: 'sex' and 'survived'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>sibsp</th>\n",
       "      <th>parch</th>\n",
       "      <th>fare</th>\n",
       "      <th>embarked</th>\n",
       "      <th>class</th>\n",
       "      <th>who</th>\n",
       "      <th>adult_male</th>\n",
       "      <th>deck</th>\n",
       "      <th>embark_town</th>\n",
       "      <th>alive</th>\n",
       "      <th>alone</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>S</td>\n",
       "      <td>Third</td>\n",
       "      <td>man</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C</td>\n",
       "      <td>First</td>\n",
       "      <td>woman</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>Cherbourg</td>\n",
       "      <td>yes</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>S</td>\n",
       "      <td>Third</td>\n",
       "      <td>woman</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>S</td>\n",
       "      <td>First</td>\n",
       "      <td>woman</td>\n",
       "      <td>False</td>\n",
       "      <td>C</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>yes</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>S</td>\n",
       "      <td>Third</td>\n",
       "      <td>man</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>no</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   survived  pclass     sex   age  sibsp  parch     fare embarked  class  \\\n",
       "0         0       3    male  22.0      1      0   7.2500        S  Third   \n",
       "1         1       1  female  38.0      1      0  71.2833        C  First   \n",
       "2         1       3  female  26.0      0      0   7.9250        S  Third   \n",
       "3         1       1  female  35.0      1      0  53.1000        S  First   \n",
       "4         0       3    male  35.0      0      0   8.0500        S  Third   \n",
       "\n",
       "     who  adult_male deck  embark_town alive  alone  \n",
       "0    man        True  NaN  Southampton    no  False  \n",
       "1  woman       False    C    Cherbourg   yes  False  \n",
       "2  woman       False  NaN  Southampton   yes   True  \n",
       "3  woman       False    C  Southampton   yes  False  \n",
       "4    man        True  NaN  Southampton    no   True  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "titanic = sns.load_dataset(\"titanic\")\n",
    "titanic.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plotting one categorical variable using countplot:\n",
    "> ### <span style=\"color:blue\"> Exercise:</span>\n",
    ">\n",
    "> plot two graphs, one for the passenger sex, one for the passenger class\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### <span style=\"color:blue\"> Exercise:</span>\n",
    ">\n",
    ">advanced: plot them side by side"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(figsize=(10,4), ncols=2)\n",
    "# add your code here:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Add `hue` to plot a countplot that compares two variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4,3))\n",
    "myorder = [\"female\",\"male\",]\n",
    "sns.countplot(x = \"sex\", hue=\"class\",  data=titanic.loc[titanic[\"survived\"] ==1], order = myorder)\n",
    "#sns.countplot(x=\"sex\", hue=\"class\",  data=titanic.loc[titanic[\"survived\"] ==1], order = myorder)\n",
    "plt.title(\"Titanic survivors by gender and class\")\n",
    "plt.ylabel(\"Number of survivors\")\n",
    "plt.xlabel(\"\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use barplot to plot percentages for two variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(4,3))\n",
    "sns.barplot(x=\"sex\", y=\"survived\", hue=\"class\",  errorbar=None, data=titanic)\n",
    "plt.xlabel(\"\")\n",
    "plt.ylabel(\"Percentage of survivors\")\n",
    "plt.title(\"Titanic survivors by gender and class\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That was easy since `survived` is binary. \n",
    "How do we plot percentages for non-binary data?\n",
    "\n",
    "For example: let's plot the fare percentage\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### <span style=\"color:blue\"> Exercise:</span>\n",
    ">\n",
    "> what is the fare's sum?\n",
    ">\n",
    "> How do you suggest to compute percentage?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#sum:\n",
    "total =  0# insert your code insead of the \"0\" \n",
    "total"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "#percentage:\n",
    "titanic[\"fare_percent\"] = titanic[\"fare\"]/total # insert your code insead of the \"0\" "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(figsize=(15, 5), ncols=3)\n",
    "plt.subplots_adjust(wspace = 0.3)\n",
    "sns.barplot(x=\"class\", y=\"fare\",  errorbar=None, estimator = sum, data=titanic,ax=axes[0] )\n",
    "sns.barplot(x=\"class\", y=\"fare_percent\",   errorbar=None, estimator = sum, data=titanic, ax = axes[1])\n",
    "sns.countplot(x=\"class\",   data=titanic, ax = axes[2])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "[(menu)](#section0)\n",
    "\n",
    "---\n",
    "<a id='section4'></a>\n",
    "## 4. Ease comparisons"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note what happens when we swap the hue and the x-axis. You can also remove the hue altogether (check what happens)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(hue=\"class\", y=\"survived\", x=\"sex\",  data=titanic)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Change the order of the x-axis:\n",
    "By hand:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='class', ylabel='survived'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=\"class\", y=\"survived\", hue=\"sex\",  data=titanic, order=[\"Third\", \"Second\", \"First\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Add labels to the plot\n",
    "\n",
    "Google it: [add text to plot seaborn](https://www.google.com/search?q=add+text+to+plot+seaborn&sxsrf=ALeKk01vym2w-SfYoAOBXBgUbDCr0I04Uw%3A1621255993821&ei=OWeiYObWMdCTkwXRoIngCw&oq=add+text+to+plot+seaborn&gs_lcp=Cgdnd3Mtd2l6EAMyAggAMgYIABAWEB4yBggAEBYQHjoHCCMQsAMQJzoHCAAQRxCwAzoECAAQQzoGCAAQBxAeUJAcWKgzYJs1aAFwAngAgAGeAYgBmgqSAQQwLjEwmAEAoAEBqgEHZ3dzLXdpesgBCcABAQ&sclient=gws-wiz&ved=0ahUKEwim1-ec4dDwAhXQyaQKHVFQArwQ4dUDCA4&uact=5_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>species</th>\n",
       "      <th>island</th>\n",
       "      <th>bill_length_mm</th>\n",
       "      <th>bill_depth_mm</th>\n",
       "      <th>flipper_length_mm</th>\n",
       "      <th>body_mass_g</th>\n",
       "      <th>sex</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelie</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>39.1</td>\n",
       "      <td>18.7</td>\n",
       "      <td>181.0</td>\n",
       "      <td>3750.0</td>\n",
       "      <td>Male</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adelie</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>39.5</td>\n",
       "      <td>17.4</td>\n",
       "      <td>186.0</td>\n",
       "      <td>3800.0</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Adelie</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>40.3</td>\n",
       "      <td>18.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>3250.0</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Adelie</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Adelie</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>36.7</td>\n",
       "      <td>19.3</td>\n",
       "      <td>193.0</td>\n",
       "      <td>3450.0</td>\n",
       "      <td>Female</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  species     island  bill_length_mm  bill_depth_mm  flipper_length_mm  \\\n",
       "0  Adelie  Torgersen            39.1           18.7              181.0   \n",
       "1  Adelie  Torgersen            39.5           17.4              186.0   \n",
       "2  Adelie  Torgersen            40.3           18.0              195.0   \n",
       "3  Adelie  Torgersen             NaN            NaN                NaN   \n",
       "4  Adelie  Torgersen            36.7           19.3              193.0   \n",
       "\n",
       "   body_mass_g     sex  \n",
       "0       3750.0    Male  \n",
       "1       3800.0  Female  \n",
       "2       3250.0  Female  \n",
       "3          NaN     NaN  \n",
       "4       3450.0  Female  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "penguins = sns.load_dataset(\"penguins\")\n",
    "penguins.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### <span style=\"color:blue\"> Exercise:</span>\n",
    ">\n",
    "> plot the relationship between `bill_length_mm` and `bill_depth_mm`\n",
    ">\n",
    "> advanced: color the different species. use: palette = 'colorblind'\n",
    ">\n",
    ">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='bill_length_mm', ylabel='bill_depth_mm'>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data = penguins, x = \"bill_length_mm\", y = \"bill_depth_mm\",  hue = \"species\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Without a legend but with text:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax =  sns.scatterplot(data = penguins, x = \"bill_length_mm\", y = \"bill_depth_mm\", hue = \"species\", palette = 'colorblind')\n",
    "style = dict(size=12, color='black')\n",
    "ax.text(35, 15, \"Adelie\",  **style)\n",
    "ax.text(55, 20, \"Chinstrap\",  **style)\n",
    "ax.text(52, 14, \"Gentoo\",  **style)\n",
    "ax.get_legend().remove()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compare only between the two islands with the most penguins:\n",
    "This means, don't present data of the third island\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Biscoe       168\n",
       "Dream        124\n",
       "Torgersen     52\n",
       "Name: island, dtype: int64"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pen_order = penguins[\"island\"].value_counts()\n",
    "pen_order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "myorder = [\"Biscoe\", \"Dream\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='island', ylabel='body_mass_g'>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(penguins, x = \"island\", y = \"body_mass_g\", order = pen_order.index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get the index:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Biscoe', 'Dream'], dtype='object')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "myorder = penguins[\"island\"].value_counts().index[0:2]\n",
    "myorder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: xlabel='island', ylabel='body_mass_g'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(penguins, x = \"island\", y = \"body_mass_g\",  order=myorder)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> ### <span style=\"color:blue\"> Exercise:</span>\n",
    ">\n",
    "> Order the x-axis according to `body_mass_g` median and then display a boxplot\n",
    ">\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#myorder2 =  \n",
    "#myorder2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "#sns.boxplot(penguins, x = \"island\", y = \"body_mass_g\",  order=myorder2.index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "[(menu)](#section0)\n",
    "\n",
    "---\n",
    "<a id='section5'></a>\n",
    "## 5. Set the scale\n",
    "\n",
    "Google it: [set scale seaborn](https://www.google.com/search?q=set+scale+seaborn&sxsrf=ALeKk02NiH79RWrRRXIqusuG-vHfuyIm2A%3A1621254123926&ei=61-iYOiGOMyxkwWAiZjICQ&oq=set+scale+sea&gs_lcp=Cgdnd3Mtd2l6EAMYADIECCMQJzIGCAAQFhAeMgYIABAWEB4yBggAEBYQHjoHCCMQsAMQJzoHCAAQRxCwAzoCCAA6BQghEKABOggIABAIEA0QHlC8EVjyJmCULGgEcAJ4AIABogGIAbgHkgEDMC43mAEAoAEBqgEHZ3dzLXdpesgBCcABAQ&sclient=gws-wiz)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### One option:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(0.0, 80.0)]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.stripplot(x=\"day\", y=\"total_bill\", data=tips, jitter=0.05)\n",
    "ax.set(ylim=(0, 80))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Another option:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.ylim(0, 400)\n",
    "ax = sns.stripplot(x=\"day\", y=\"total_bill\", data=tips, jitter=0.05)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}