ExploratoryDataAnalysis(1).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis using mpg2 dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "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 warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* Check Missing values\n",
    "* Fill Missing values\n",
    "* Check and remove outliers\n",
    "* Compute simple statistics on single variables\n",
    "* Basic Plots\n",
    "* Investigate Categorial Variables\n",
    "* Compute simple aggregation, group by categorial variable\n",
    "* Facet Grid\n",
    "* Build simple linear regression model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model_year</th>\n",
       "      <th>origin</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>307.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>3504</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>chevrolet chevelle malibu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15.0</td>\n",
       "      <td>8</td>\n",
       "      <td>350.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>3693</td>\n",
       "      <td>11.5</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>buick skylark 320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>318.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3436</td>\n",
       "      <td>11.0</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>plymouth satellite</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16.0</td>\n",
       "      <td>8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3433</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>amc rebel sst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17.0</td>\n",
       "      <td>8</td>\n",
       "      <td>302.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>3449</td>\n",
       "      <td>10.5</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>ford torino</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    mpg  cylinders  displacement  horsepower  weight  acceleration  \\\n",
       "0  18.0          8         307.0       130.0    3504          12.0   \n",
       "1  15.0          8         350.0       165.0    3693          11.5   \n",
       "2  18.0          8         318.0       150.0    3436          11.0   \n",
       "3  16.0          8         304.0       150.0    3433          12.0   \n",
       "4  17.0          8         302.0       140.0    3449          10.5   \n",
       "\n",
       "   model_year origin                       name  \n",
       "0          70    usa  chevrolet chevelle malibu  \n",
       "1          70    usa          buick skylark 320  \n",
       "2          70    usa         plymouth satellite  \n",
       "3          70    usa              amc rebel sst  \n",
       "4          70    usa                ford torino  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"mpg2.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>399.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>394.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>23.681203</td>\n",
       "      <td>5.457500</td>\n",
       "      <td>193.868750</td>\n",
       "      <td>105.322335</td>\n",
       "      <td>2967.530000</td>\n",
       "      <td>15.545250</td>\n",
       "      <td>80.857500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.486141</td>\n",
       "      <td>1.703069</td>\n",
       "      <td>104.880853</td>\n",
       "      <td>42.158313</td>\n",
       "      <td>845.784762</td>\n",
       "      <td>2.777754</td>\n",
       "      <td>97.270402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>1613.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>70.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>17.500000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>104.750000</td>\n",
       "      <td>75.250000</td>\n",
       "      <td>2225.250000</td>\n",
       "      <td>13.800000</td>\n",
       "      <td>73.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>23.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>148.500000</td>\n",
       "      <td>94.500000</td>\n",
       "      <td>2797.500000</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>76.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>263.250000</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>3606.000000</td>\n",
       "      <td>17.125000</td>\n",
       "      <td>79.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>90.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>455.000000</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>5140.000000</td>\n",
       "      <td>24.800000</td>\n",
       "      <td>2020.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              mpg   cylinders  displacement  horsepower       weight  \\\n",
       "count  399.000000  400.000000    400.000000  394.000000   400.000000   \n",
       "mean    23.681203    5.457500    193.868750  105.322335  2967.530000   \n",
       "std      8.486141    1.703069    104.880853   42.158313   845.784762   \n",
       "min      9.000000    3.000000     68.000000   46.000000  1613.000000   \n",
       "25%     17.500000    4.000000    104.750000   75.250000  2225.250000   \n",
       "50%     23.000000    4.000000    148.500000   94.500000  2797.500000   \n",
       "75%     29.000000    8.000000    263.250000  128.000000  3606.000000   \n",
       "max     90.000000    8.000000    455.000000  450.000000  5140.000000   \n",
       "\n",
       "       acceleration   model_year  \n",
       "count    400.000000   400.000000  \n",
       "mean      15.545250    80.857500  \n",
       "std        2.777754    97.270402  \n",
       "min        8.000000    70.000000  \n",
       "25%       13.800000    73.000000  \n",
       "50%       15.500000    76.000000  \n",
       "75%       17.125000    79.000000  \n",
       "max       24.800000  2020.000000  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(400, 9)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check Missing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mpg              True\n",
       "cylinders       False\n",
       "displacement    False\n",
       "horsepower       True\n",
       "weight          False\n",
       "acceleration    False\n",
       "model_year      False\n",
       "origin          False\n",
       "name            False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     130.0\n",
       "1     165.0\n",
       "2     150.0\n",
       "3     150.0\n",
       "4     140.0\n",
       "5     198.0\n",
       "6     220.0\n",
       "7     215.0\n",
       "8     225.0\n",
       "9     450.0\n",
       "10    190.0\n",
       "11    170.0\n",
       "12    160.0\n",
       "13    150.0\n",
       "14    225.0\n",
       "15     95.0\n",
       "16     95.0\n",
       "17     97.0\n",
       "18     85.0\n",
       "19     88.0\n",
       "Name: horsepower, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['horsepower'].head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([130., 165., 150., 140., 198., 220., 215., 225., 450., 190., 170.,\n",
       "       160.,  95.,  97.,  85.,  88.,  46.,  87.,  90., 113., 200., 210.,\n",
       "       193.,  nan, 100., 105., 175., 153., 180., 110.,  72.,  86.,  70.,\n",
       "        76.,  65.,  69.,  60.,  80.,  54., 208., 155., 112.,  92., 145.,\n",
       "       137., 158., 167.,  94., 107., 230.,  49.,  75.,  91., 122.,  67.,\n",
       "        83.,  78.,  52.,  61.,  93., 148., 129.,  96.,  71.,  98., 115.,\n",
       "        53.,  81.,  79., 120., 152., 102., 108.,  68.,  58., 149.,  89.,\n",
       "        63.,  48.,  66., 139., 103., 125., 133., 138., 135., 142.,  77.,\n",
       "        62., 132.,  84.,  64.,  74., 116.,  82.])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.horsepower.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      False\n",
       "1      False\n",
       "2      False\n",
       "3      False\n",
       "4      False\n",
       "5      False\n",
       "6      False\n",
       "7      False\n",
       "8      False\n",
       "9      False\n",
       "10     False\n",
       "11     False\n",
       "12     False\n",
       "13     False\n",
       "14     False\n",
       "15     False\n",
       "16     False\n",
       "17     False\n",
       "18     False\n",
       "19     False\n",
       "20     False\n",
       "21     False\n",
       "22     False\n",
       "23     False\n",
       "24     False\n",
       "25     False\n",
       "26     False\n",
       "27     False\n",
       "28     False\n",
       "29     False\n",
       "       ...  \n",
       "370    False\n",
       "371    False\n",
       "372    False\n",
       "373    False\n",
       "374    False\n",
       "375    False\n",
       "376     True\n",
       "377    False\n",
       "378    False\n",
       "379    False\n",
       "380    False\n",
       "381    False\n",
       "382    False\n",
       "383    False\n",
       "384    False\n",
       "385    False\n",
       "386    False\n",
       "387    False\n",
       "388    False\n",
       "389    False\n",
       "390    False\n",
       "391    False\n",
       "392    False\n",
       "393    False\n",
       "394    False\n",
       "395    False\n",
       "396    False\n",
       "397    False\n",
       "398    False\n",
       "399    False\n",
       "Name: horsepower, Length: 400, dtype: bool"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.isnan(df.horsepower)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "bad_data = df [ np.isnan(df.horsepower) ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(6, 9)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bad_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model_year</th>\n",
       "      <th>origin</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>25.0</td>\n",
       "      <td>4</td>\n",
       "      <td>98.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2046</td>\n",
       "      <td>19.0</td>\n",
       "      <td>71</td>\n",
       "      <td>usa</td>\n",
       "      <td>ford pinto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>21.0</td>\n",
       "      <td>6</td>\n",
       "      <td>200.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2875</td>\n",
       "      <td>17.0</td>\n",
       "      <td>74</td>\n",
       "      <td>usa</td>\n",
       "      <td>ford maverick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>40.9</td>\n",
       "      <td>4</td>\n",
       "      <td>85.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1835</td>\n",
       "      <td>17.3</td>\n",
       "      <td>80</td>\n",
       "      <td>europe</td>\n",
       "      <td>renault lecar deluxe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>23.6</td>\n",
       "      <td>4</td>\n",
       "      <td>140.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2905</td>\n",
       "      <td>14.3</td>\n",
       "      <td>80</td>\n",
       "      <td>usa</td>\n",
       "      <td>ford mustang cobra</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>34.5</td>\n",
       "      <td>4</td>\n",
       "      <td>100.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2320</td>\n",
       "      <td>15.8</td>\n",
       "      <td>81</td>\n",
       "      <td>europe</td>\n",
       "      <td>renault 18i</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>23.0</td>\n",
       "      <td>4</td>\n",
       "      <td>151.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3035</td>\n",
       "      <td>20.5</td>\n",
       "      <td>82</td>\n",
       "      <td>usa</td>\n",
       "      <td>amc concord dl</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      mpg  cylinders  displacement  horsepower  weight  acceleration  \\\n",
       "34   25.0          4          98.0         NaN    2046          19.0   \n",
       "128  21.0          6         200.0         NaN    2875          17.0   \n",
       "332  40.9          4          85.0         NaN    1835          17.3   \n",
       "338  23.6          4         140.0         NaN    2905          14.3   \n",
       "356  34.5          4         100.0         NaN    2320          15.8   \n",
       "376  23.0          4         151.0         NaN    3035          20.5   \n",
       "\n",
       "     model_year  origin                  name  \n",
       "34           71     usa            ford pinto  \n",
       "128          74     usa         ford maverick  \n",
       "332          80  europe  renault lecar deluxe  \n",
       "338          80     usa    ford mustang cobra  \n",
       "356          81  europe           renault 18i  \n",
       "376          82     usa        amc concord dl  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bad_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Remove missing data rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(394, 9)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df[ ~np.isnan(df.horsepower)]\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mpg              True\n",
       "cylinders       False\n",
       "displacement    False\n",
       "horsepower      False\n",
       "weight          False\n",
       "acceleration    False\n",
       "model_year      False\n",
       "origin          False\n",
       "name            False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().any()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Or we can impute missing value for filling in null**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "105.32233502538071\n",
      "94.5\n"
     ]
    }
   ],
   "source": [
    "var = 'horsepower'\n",
    "print(df[var].mean())\n",
    "print(df[var].median())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x23495c973c8>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYgAAADuCAYAAAAjmZDVAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAFRlJREFUeJzt3X+QXeV93/H3RyuClboGI9aMKqmVg9Q6TloEXVMa0hgDbmTsGtIED542aBimsjsElNqTYNxOYjPDxMnUJkAapnIwiIljQ5ykUIaoFb/s2AlgyRYSRKZsMDZCCtoIjLFly5H07R/3LCzSQXsldPbuSu/XzJ17n+c+5+xXjNiPnvPjOakqJEna16xBFyBJmp4MCElSKwNCktTKgJAktTIgJEmtDAhJUisDQpLUyoCQJLUyICRJrWYPuoDX4sQTT6xFixYNugxJmlHWr1//d1U1PNm4GR0QixYtYt26dYMuQ5JmlCTf6mech5gkSa0MCElSKwNCktTKgJAktTIgpA7s2LGDK664gh07dgy6FOmQdR4QSYaSfD3JXU37liTfTLKheS1t+pPk+iSjSTYmOa3r2qSurF69mk2bNnHrrbcOuhTpkE3FDGIlsHmfvl+rqqXNa0PT9y5gSfNaAdw4BbVJh92OHTtYs2YNVcWaNWucRWjG6jQgkiwA3g38QR/DzwdurZ4HgeOTzOuyPqkLq1evZu/evQDs2bPHWYRmrK5nEL8L/Dqwd5/+a5rDSNcmObbpmw88PWHMlqbvFZKsSLIuybqxsbFOipZei3vuuYfdu3cDsHv3btauXTvgiqRD01lAJHkPsL2q1u/z1VXAW4C3AScAV45v0rKb2q+jalVVjVTVyPDwpHeKS1Pu3HPPZfbs3iIFs2fP5p3vfOeAK5IOTZcziDOB9yZ5Cvg8cHaSP6yqbc1hpF3AzcDpzfgtwMIJ2y8AtnZYn9SJ5cuXM2tW73+toaEhLr744gFXJB2azgKiqq6qqgVVtQi4CLivqv7j+HmFJAEuAB5tNrkTuLi5mukM4IWq2tZVfVJX5s6dy7Jly0jCsmXLmDt37qBLkg7JIBbr+2ySYXqHlDYAH2z67wbOA0aBncAlA6hNOiyWL1/OU0895exBM1qq9jvMP2OMjIyUq7lK0sFJsr6qRiYb553UkqRWBoQkqZUBIUlqZUBIkloZEJKkVgaEJKmVASFJamVASJJaGRCSpFYGhCSplQEhSWplQEiSWhkQkqRWBoQkqZUBIUlq1XlAJBlK8vUkdzXtNyd5KMkTSW5L8mNN/7FNe7T5flHXtUmSXt1UzCBWApsntH8buLaqlgDPA5c2/ZcCz1fVYuDaZpwkaUA6DYgkC4B3A3/QtAOcDXyhGbKa3nOpAc5v2jTfn9OMlyQNQNcziN8Ffh3Y27TnAt+pqt1Newswv/k8H3gaoPn+hWb8KyRZkWRdknVjY2Nd1i5JR7XOAiLJe4DtVbV+YnfL0Orju5c7qlZV1UhVjQwPDx+GSiVJbWZ3uO8zgfcmOQ94HfAGejOK45PMbmYJC4CtzfgtwEJgS5LZwHHAcx3WJ0k6gM5mEFV1VVUtqKpFwEXAfVX1H4D7gV9qhi0H7mg+39m0ab6/r6r2m0FIkqbGIO6DuBL4UJJReucYbmr6bwLmNv0fAj4ygNokSY0uDzG9pKoeAB5oPj8JnN4y5ofAhVNRjyRpct5JLUlqZUBIkloZEJKkVgaEJKmVASFJamVASJJaGRCSpFYGhCSplQEhSWplQEiSWhkQkqRWBoQkqZUBIUlqZUBIkloZEJKkVgaEJKlVZwGR5HVJHk7ySJLHkny86b8lyTeTbGheS5v+JLk+yWiSjUlO66o2SdLkunyi3C7g7Kr6XpJjgC8n+fPmu1+rqi/sM/5dwJLm9a+AG5t3SdIAdDaDqJ7vNc1jmlcdYJPzgVub7R4Ejk8yr6v6JEkH1uk5iCRDSTYA24G1VfVQ89U1zWGka5Mc2/TNB56esPmWpm/ffa5Isi7JurGxsS7Ll6SjWqcBUVV7qmopsAA4PclPA1cBbwHeBpwAXNkMT9suWva5qqpGqmpkeHi4o8olSVNyFVNVfQd4AFhWVduaw0i7gJuB05thW4CFEzZbAGydivokSfvr8iqm4STHN5/nAOcC3xg/r5AkwAXAo80mdwIXN1cznQG8UFXbuqpPknRgXV7FNA9YnWSIXhDdXlV3JbkvyTC9Q0obgA824+8GzgNGgZ3AJR3WJkmaRGcBUVUbgVNb+s9+lfEFXNZVPZKkg+Od1JKkVgaEJKmVASFJamVASJJaGRCSpFYGhCSplQEhSWplQEiSWhkQkqRWBoQkqZUBIUlqZUBIkloZEJKkVgaEJKmVASFJatXlE+Vel+ThJI8keSzJx5v+Nyd5KMkTSW5L8mNN/7FNe7T5flFXtUmSJtflDGIXcHZVnQIsBZY1jxL9beDaqloCPA9c2oy/FHi+qhYD1zbjJEkDMmlAJBlK8l8OdsfV872meUzzKuBs4AtN/2p6z6UGOL9p03x/TvPcaknSAEwaEFW1h94v74PWhMsGYDuwFvgb4DtVtbsZsgWY33yeDzzd/MzdwAvA3JZ9rkiyLsm6sbGxQylLktSHfg8xfSXJ7yX5N0lOG39NtlFV7amqpcAC4HTgJ9uGNe9ts4Xar6NqVVWNVNXI8PBwn+VLkg7W7D7H/UzzfvWEvvHDRZOqqu8keQA4Azg+yexmlrAA2NoM2wIsBLYkmQ0cBzzXZ32SpMOsr4Coqncc7I6TDAN/34TDHOBceiee7wd+Cfg8sBy4o9nkzqb9V83391XVfjMISdLU6OsQU5KTktyU5M+b9luTXDrJZvOA+5NsBL4KrK2qu4ArgQ8lGaV3juGmZvxNwNym/0PARw7+jyNJOlz6PcR0C3Az8F+b9v8DbuPlX+77qaqNwKkt/U/SOx+xb/8PgQv7rEeS1LF+T1KfWFW3A3vhpauM9nRWlSRp4PoNiO8nmUtzVVFzw9sLnVUlSRq4fg8xfZjeSeSTk3wFGKZ3IlmSdITq9yqm9UneDvwzevcrPF5Vf99pZZKkgeorIJL8BfAl4C+ArxgOknTk6/ccxHLgceAXgb9slrq4truyJEmD1u8hpieT/AD4UfN6B+3LZkiSjhD93ij3N8D/Ak6id+/DT1fVsi4LkyQNVr+HmK4Hvg28H7gCWJ7k5M6qkiQNXF8BUVXXVdWF9NZTWg98jN7d1JKkI1S/VzF9EvhZ4PXAg8Bv0LuiSZJ0hOr3RrkHgd+pqme7LEaSNH30exXTHyd5b5Kfa7q+WFX/u8O6JEkD1u9VTL8FrAT+unld0fRJko5Q/R5iejewtKr2AiRZDXwduKqrwiRJg9XvZa4Ax0/4fNxkg5MsTHJ/ks1JHkuysun/WJJnkmxoXudN2OaqJKNJHk/y8wdRmyTpMOt3BvFbwNeT3E9vsb6fY/LZw27gw1X1tST/EFifZG3z3bVV9d8nDk7yVuAi4KeAfwTck+SfVpXPnZCkAej3JPXnkjwAvK3purKq/naSbbYB25rPLybZDMw/wCbnA5+vql3AN5tHj55O7xnVkqQpdjCHmP41cBbw9uZz35Isovf40Yearl9JsjHJZ5K8sembDzw9YbMtHDhQJEkd6vcqpt8HPghsAh4FPpDkf/S57euBPwF+taq+C9wInAwspTfD+OT40JbNq2V/K5rVZNeNjY31U4Ik6RD0ew7i7fQW6Bt/5OhqemFxQEmOoRcOn62qPwWYeLNdkk8DdzXNLcDCCZsvALbuu8+qWgWsAhgZGdkvQCRJh0e/h5geB/7xhPZCYOOBNkgSeiu/bq6qT03onzdh2C/Qm5FA75GmFyU5NsmbgSXAw33WJ0k6zPqdQcwFNicZ/4X9NuCvktwJUFXvbdnmTOCXgU1JNjR9HwXen2QpvcNHTwEfaPbxWJLb6d2Itxu4zCuYJGlw+g2I3zjYHVfVl2k/r3D3Aba5BrjmYH+WJOnw63e57y/S+9f+Mc3nh4GvVdUXm7akCXbs2MEVV1zBjh07Bl2KdMj6vYrpPwFfAP5n07WA3hPmJLVYvXo1mzZt4tZbbx10KdIh6/ck9WX0zil8F6CqngDe1FVR0ky2Y8cO1qxZQ1WxZs0aZxGasfoNiF1V9aPxRpLZtNyjIKk3e9izp3d9xe7du51FaMbqNyC+mOSjwJwk7wT+GPB5EFKLe+6556WA2LNnD2vXrp1kC2l66jcgPgKM0bs57gP0rkT6b10VJc1kp5xyyivaS5cuHVAl0mvT72J9e4FPA59OcgKwYPyuakmv9Mgjj7yivWHDhlcZKU1v/V7F9ECSNzThsAG4OcmnJttOOhrt3LnzgG1ppuj3ENNxzUJ7/x64uar+JXBud2VJM9fs2bMP2JZmin4DYnazhtL7eHlxPUkthoaGDtiWZop+A+LjwP8BRqvqq0l+Aniiu7KkmevUU099Rfu0004bUCXSazPp3DfJELCwqv7FeF9VPQn8YpeFSTPVpk2vXAl/48YDLnwsTVuTziCaFVXbVmuV1OL73//+AdvSTNHv2bO/TPJ7wG3AS3/bq+prnVQlzWBDQ0Mv3Sg33pZmon4D4mea96sn9BVw9uEtR5r59r1FyFuGNFP1e6PcO7ouRDpSzJo1i717976iLc1E/d4od1ySTyVZ17w+meS4SbZZmOT+JJuTPJZkZdN/QpK1SZ5o3t/Y9CfJ9UlGk2xM4qUfmpHOOeecA7almaLff9p8BniR3n0Q76O37PfNk2yzG/hwVf0kcAZwWZK30lvX6d6qWgLc27QB3kXvOdRLgBXAjQfx55CmjRUrVrw0a5g1axYrVqwYcEXSoen3HMTJVTXxstaPT3jOdKuq2gZsaz6/mGQzMB84HzirGbYaeAC4sum/tVnj6cEkxyeZ1+xHM8ANN9zA6OjooMuYFo455hh27drFcccdx9VXXz35Bke4xYsXc/nllw+6DB2kfmcQP0jys+ONJGcCP+j3hyRZBJwKPAScNP5Lv3kff/DQfODpCZttafr23deK8UNdY2Nj/ZYgTalZs2Yxa9Ys5s2bN+hSpEPW7wziPwOrJ5x3eB5Y3s+GSV4P/Anwq1X13SSvOrSlb7/LP6pqFbAKYGRkxMtDphH/hfiylStXAnDdddcNuBLp0PUbEJuB3wFOBo4HXgAuAA54i2iSY+iFw2er6k+b7mfHDx016zttb/q3AAsnbL4A2NpnfZKkw6zfQ0x3AP8O+CHwDPA9Jtww1ya9qcJNwOaqmrg0+J28PPtY3ux7vP/i5mqmM4AXPP8gSYPT7wxiQVUtO8h9nwn8MrBpwgntjwKfAG5PcinwbeDC5ru7gfOAUWAncMlB/jxJ0mF0MEtt/POq2jT50J6q+jLt5xUA9rswvLl66bJ+9y9J6tYBAyLJJnonimcDlyR5EthF7xd/TVzhVZJ0ZJlsBvGeKalCkjTtHDAgqupbU1WIJGl6cRUxSVIrA0KS1MqAkCS1MiAkSa0MCElSKwNCktTKgJAktTIgJEmtDAhJUisDQpLUyoCQJLUyICRJrToLiCSfSbI9yaMT+j6W5JkkG5rXeRO+uyrJaJLHk/x8V3VJkvrT5QziFqDtKXTXVtXS5nU3QJK3AhcBP9Vs8/tJhjqsTZI0ic4Coqq+BDzX5/Dzgc9X1a6q+ia9x46e3lVtkqTJDeIcxK8k2dgcgnpj0zcfeHrCmC1NnyRpQKY6IG4ETgaWAtuATzb9bc+urrYdJFmRZF2SdWNjY91UKUma2oCoqmerak9V7QU+zcuHkbYACycMXQBsfZV9rKqqkaoaGR4e7rZgSTqKTWlAJJk3ofkLwPgVTncCFyU5NsmbgSXAw1NZmyTplQ74TOrXIsnngLOAE5NsAX4TOCvJUnqHj54CPgBQVY8luR34a2A3cFlV7emqNknS5DoLiKp6f0v3TQcYfw1wTVf1SJIOjndSS5JaGRCSpFYGhCSplQEhSWrV2Unqo8UNN9zA6OjooMvQNDP+d2LlypUDrkTTzeLFi7n88ssHXUZfDIjXaHR0lA2PbmbPj58w6FI0jcz6UW8hgPVPPjvgSjSdDO3sd3m66cGAOAz2/PgJ/OAt500+UNJRbc437h50CQfFcxCSpFYGhCSplQEhSWplQEiSWhkQkqRWBoQkqZUBIUlqZUBIkloZEJKkVp0FRJLPJNme5NEJfSckWZvkieb9jU1/klyfZDTJxiSndVWXJKk/Xc4gbgGW7dP3EeDeqloC3Nu0Ad5F7znUS4AVwI0d1iVJ6kNnAVFVXwL2XZnqfGB183k1cMGE/lur50Hg+CTzuqpNkjS5qT4HcVJVbQNo3t/U9M8Hnp4wbkvTt58kK5KsS7JubGys02Il6Wg2XU5Sp6Wv2gZW1aqqGqmqkeHh4Y7LkqSj11Qv9/1sknlVta05hLS96d8CLJwwbgGwdYprOyTPPPMMQztfmHHL+EqaekM7d/DMM7sHXUbfpnoGcSewvPm8HLhjQv/FzdVMZwAvjB+KkiQNRmcziCSfA84CTkyyBfhN4BPA7UkuBb4NXNgMvxs4DxgFdgKXdFXX4TZ//nz+dtdsHxgkaVJzvnE38+efNOgy+tZZQFTV+1/lq3NaxhZwWVe1SJIO3nQ5SS1JmmYMCElSKwNCktTKgJAktTIgJEmtpvpGuSPS0M7nvFFOrzDrh98FYO/r3jDgSjSdDO18DvAy16PG4sWLB12CpqHR0RcBWPwTM+eXgabCSTPqd4YB8Rpdfvnlgy5B09DKlSsBuO666wZciXToPAchSWplQEiSWhkQkqRWBoQkqZUBIUlqZUBIkloZEJKkVgO5DyLJU8CLwB5gd1WNJDkBuA1YBDwFvK+qnh9EfZKkwc4g3lFVS6tqpGl/BLi3qpYA9zZtSdKATKdDTOcDq5vPq4ELBliLJB31BhUQBfzfJOuTrGj6TqqqbQDN+5vaNkyyIsm6JOvGxsamqFxJOvoMai2mM6tqa5I3AWuTfKPfDatqFbAKYGRkpLoqUAfvhhtuYHR0dNBlTAvj/x3G12Q62i1evNh1y2aggcwgqmpr874d+DPgdODZJPMAmvftg6hNOhzmzJnDnDlzBl2G9JpM+QwiyT8AZlXVi83nfwtcDdwJLAc+0bzfMdW16bXxX4jSkWUQh5hOAv4syfjP/6OqWpPkq8DtSS4Fvg1cOIDaJEmNKQ+IqnoSOKWlfwdwzlTXI0lqN50uc5UkTSMGhCSplQEhSWplQEiSWhkQkqRWBoQkqVWqZu5qFUnGgG8Nug7pVZwI/N2gi5Ba/JOqGp5s0IwOCGk6S7JuwnL20ozjISZJUisDQpLUyoCQurNq0AVIr4XnICRJrZxBSJJaGRCSpFYGhCSplQEhSWplQEiSWv1/ncTwk8No6VYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(y=df[var])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(394,)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[var].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    394.000000\n",
       "mean     105.322335\n",
       "std       42.158313\n",
       "min       46.000000\n",
       "25%       75.250000\n",
       "50%       94.500000\n",
       "75%      128.000000\n",
       "max      450.000000\n",
       "Name: horsepower, dtype: float64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "oldval = df[var]\n",
    "oldval.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x23495cf44a8>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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G/umC1duBvdX1vcCOPueSJHVptcfQG5l5AqC6vK5/kSRJqxGZ2XlQxCbgicx8U7V8JjPXL7n9dGa2PY4eEdPANECj0dg2Ozu7qqALx8++cr1xBZx8eVUPM1DjmGuQmbZuXLfq+y4uLjIxMdHHNP0xjrnGMROYqxu9ZpqamprPzGancat96//JiNiQmSciYgNwarmBmTkDzAA0m82cnJxc1QZ3XXC2xQcWxu+sBeOYa5CZjt07uer7zs3NsdqfhUEax1zjmAnM1Y1hZVrtIZfHgZ3V9Z3Avv7EkSStVp2XLX4U+Fvgxoh4MSLuA/YAb4uIo8DbqmVJ0gh1/Fs8M398mZvu6HMWSVIPfKeoJBXCQpekQljoklQIC12SCmGhS1IhxutdMPqGV/fzVo/tuWvASaSLj3voklQIC12SCmGhS1IhLHRJKoRPimrV6j6BCf1/EtMnT6XXcg9dkgphoUtSITzkoqG48BDJ/VvP/bsPLZHUO/fQJakQFrokFcJCl6RC9FToEXFnRDwbEc9FxO5+hZIkdW/VT4pGxBrgt2l9puiLwGci4vHM/EK/wknSOKv7foiH7lw74CQtveyh3wI8l5nPZ+a/ALPA9v7EkiR1q5dC3wj83ZLlF6t1kqQRiMxc3R0j3gn8YGb+dLX8E8AtmfmuC8ZNA9PV4o3As6uP+4prgX/ow+P02zjmGsdMYK5ujGMmMFc3es30LZn5hk6Denlj0YvADUuWrwdeunBQZs4AMz1s5zUi4nBmNvv5mP0wjrnGMROYqxvjmAnM1Y1hZerlkMtngC0RsTkiLgPuAR7vTyxJUrdWvYeemeci4ueAvwTWAB/KzGf6lkyS1JWezuWSmZ8APtGnLN3o6yGcPhrHXOOYCczVjXHMBObqxlAyrfpJUUnSePGt/5JUiIui0CPiWEQsRMRTEXG4Wnd1ROyPiKPV5VUDzvChiDgVEU8vWdc2Q7T8VnVKhM9HxM1DzvXLEXG8mq+nIuIdS257X5Xr2Yj4wQFluiEiDkbEkYh4JiLeXa0f6XytkGvU83V5RHw6Ij5X5fqVav3miDhUzdfD1YsPiIjXVcvPVbdvGmKmhyLiy0vm6qZq/dB+5qvtrYmIz0bEE9XyyOZqhUzDn6vMHPsv4Bhw7QXr/gewu7q+G/jAgDO8BbgZeLpTBuAdwJ8DAdwKHBpyrl8GfqHN2O8EPge8DtgMfAlYM4BMG4Cbq+tXAv+72vZI52uFXKOerwAmquuXAoeqeXgEuKda/7vAz1TXfxb43er6PcDDQ8z0EHB3m/FD+5mvtvce4E+AJ6rlkc3VCpmGPlcXxR76MrYDe6vre4Edg9xYZv418E81M2wH/ihbPgWsj4gNQ8y1nO3AbGZ+PTO/DDxH6xQO/c50IjOfrK5/FThC613EI52vFXItZ1jzlZm5WC1eWn0lcDvwaLX+wvk6P4+PAndERAwp03KG9jMfEdcDdwF/UC0HI5yrdpk6GNhcXSyFnsBfRcR8tN55CtDIzBPQ+o8KXDeCXMtlGIfTIvxc9efch+LVw1FDz1X9ifs9tPbwxma+LsgFI56v6s/1p4BTwH5afw2cycxzbbb9Sq7q9rPANYPOlJnn5+pXq7n6YES87sJMbfL2228A/xX4t2r5GkY8V20ynTfUubpYCv22zLwZeDvwnyLiLaMO1EG7PYBhvpzod4BvA24CTgAPVOuHmisiJoA/A34+M7+y0tA264aZa+TzlZn/mpk30XrH9S3Ad6yw7aHkujBTRLwJeB/w7cD3AlcD7x1mpoj4IeBUZs4vXb3Ctgeea5lMMIK5uigKPTNfqi5PAY/R+oE/ef7PlOry1AiiLZeh1mkRBiUzT1b/Gf8N+H1ePUwwtFwRcSmt0vxIZn6sWj3y+WqXaxzm67zMPAPM0Tq2uj4izr9XZOm2X8lV3b6O+ofdesl0Z3XYKjPz68AfMvy5ug344Yg4RusMr7fT2jse5Vy9JlNEfHgUczX2hR4RayPiyvPXgR8AnqZ1moGd1bCdwL4RxFsuw+PAT1bPZt8KnD1/qGEYLjge9yO05ut8rnuqZ/43A1uATw9g+wE8CBzJzF9fctNI52u5XGMwX2+IiPXV9SuAt9I6vn8QuLsaduF8nZ/Hu4FPZvVs24AzfXHJL+SgdZx66VwN/N8wM9+Xmddn5iZaT3J+MjPvZYRztUym/ziSuerXs6uD+gK+ldYrDT4HPAP8YrX+GuAAcLS6vHrAOT5K68/x/0frN+x9y2Wg9SfVb9M6DroANIec64+r7X6++uHZsGT8L1a5ngXePqBM/4HWn5CfB56qvt4x6vlaIdeo5+u7gc9W238a+KUlP/ufpvVk7J8Cr6vWX14tP1fd/q1DzPTJaq6eBj7Mq6+EGdrP/JKMk7z6ipKRzdUKmYY+V75TVJIKMfaHXCRJ9VjoklQIC12SCmGhS1IhLHRJKoSFLkmFsNAlqRAWuiQV4v8DMDmw5hY3AWwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# change the number of bins to see how the histogram changes\n",
    "oldval.hist(bins=30)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Since there is a 450 outliers, it may be better to use median to fill the missing value**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    394.000000\n",
       "mean     105.322335\n",
       "std       42.158313\n",
       "min       46.000000\n",
       "25%       75.250000\n",
       "50%       94.500000\n",
       "75%      128.000000\n",
       "max      450.000000\n",
       "Name: horsepower, dtype: float64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newval = df[var].fillna(df[var].mean())\n",
    "#newval = df[var].fillna(df[var].median())\n",
    "newval.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now overwrite the horsepower column of the original dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              mpg   cylinders  displacement  horsepower       weight  \\\n",
      "count  393.000000  394.000000    394.000000  394.000000   394.000000   \n",
      "mean    23.615267    5.474619    194.856599  105.322335  2974.609137   \n",
      "std      8.487261    1.707822    105.256033   42.158313   848.344425   \n",
      "min      9.000000    3.000000     68.000000   46.000000  1613.000000   \n",
      "25%     17.000000    4.000000    105.000000   75.250000  2226.500000   \n",
      "50%     23.000000    4.000000    151.000000   94.500000  2797.500000   \n",
      "75%     29.000000    8.000000    293.250000  128.000000  3612.000000   \n",
      "max     90.000000    8.000000    455.000000  450.000000  5140.000000   \n",
      "\n",
      "       acceleration   model_year  \n",
      "count    394.000000   394.000000  \n",
      "mean      15.518274    80.901015  \n",
      "std        2.778996    98.008193  \n",
      "min        8.000000    70.000000  \n",
      "25%       13.725000    73.000000  \n",
      "50%       15.500000    76.000000  \n",
      "75%       17.000000    79.000000  \n",
      "max       24.800000  2020.000000  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "mpg              True\n",
       "cylinders       False\n",
       "displacement    False\n",
       "horsepower      False\n",
       "weight          False\n",
       "acceleration    False\n",
       "model_year      False\n",
       "origin          False\n",
       "name            False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# update the series with the newval\n",
    "df[var] = newval\n",
    "print(df.describe())\n",
    "df.isnull().any()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Horsepower has been \"fixed\", but there is still missing value in the mpg column, let's fix it as well"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(394, 9)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "mpg             False\n",
       "cylinders       False\n",
       "displacement    False\n",
       "horsepower      False\n",
       "weight          False\n",
       "acceleration    False\n",
       "model_year      False\n",
       "origin          False\n",
       "name            False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['mpg'] = df['mpg'].fillna(df['mpg'].mean())\n",
    "print(df.shape)\n",
    "df.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x23495dce630>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='horsepower', y = 'mpg', data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Remove outliers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x23495d7c4e0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = df[ df['mpg'] <= 80]\n",
    "sns.scatterplot(x='horsepower', y = 'mpg', data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now, we have all good data points. Let's check on simple Statistics on a Single Variate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Pick horsepower as the variable that we are interested\n",
    "var = 'horsepower'\n",
    "series = df[var]\n",
    "type(series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean: 104.44529262086515\n",
      "Stdev: 38.445000265133196\n",
      "Min: 46.0\n",
      "Max: 230.0\n",
      "Median: 94.0\n",
      "Mode: 0    150.0\n",
      "dtype: float64\n",
      "Skew: 1.0903010725545008\n",
      "Kurtosis: 0.7079919134146047\n"
     ]
    }
   ],
   "source": [
    "print(\"Mean: {}\".format(series.mean()))\n",
    "print(\"Stdev: {}\".format(series.std()))\n",
    "print(\"Min: {}\".format(series.min()))\n",
    "print(\"Max: {}\".format(series.max()))\n",
    "print(\"Median: {}\".format(series.median()))\n",
    "print(\"Mode: {}\".format(series.mode()))\n",
    "print(\"Skew: {}\".format(series.skew()))\n",
    "print(\"Kurtosis: {}\".format(series.kurtosis()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Simple plots using Seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x23495ea12e8>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(series)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Pick other variables**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x23495f67c88>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(df['mpg'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1fff8dbca20>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x='origin', y = var, data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mpg</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.776927</td>\n",
       "      <td>-0.804549</td>\n",
       "      <td>-0.778380</td>\n",
       "      <td>-0.831467</td>\n",
       "      <td>0.423129</td>\n",
       "      <td>0.579118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cylinders</th>\n",
       "      <td>-0.776927</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.950899</td>\n",
       "      <td>0.842660</td>\n",
       "      <td>0.897726</td>\n",
       "      <td>-0.502776</td>\n",
       "      <td>-0.341552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>displacement</th>\n",
       "      <td>-0.804549</td>\n",
       "      <td>0.950899</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.896984</td>\n",
       "      <td>0.933099</td>\n",
       "      <td>-0.542057</td>\n",
       "      <td>-0.366037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>horsepower</th>\n",
       "      <td>-0.778380</td>\n",
       "      <td>0.842660</td>\n",
       "      <td>0.896984</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.864167</td>\n",
       "      <td>-0.688518</td>\n",
       "      <td>-0.414516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>weight</th>\n",
       "      <td>-0.831467</td>\n",
       "      <td>0.897726</td>\n",
       "      <td>0.933099</td>\n",
       "      <td>0.864167</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.415004</td>\n",
       "      <td>-0.305063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>acceleration</th>\n",
       "      <td>0.423129</td>\n",
       "      <td>-0.502776</td>\n",
       "      <td>-0.542057</td>\n",
       "      <td>-0.688518</td>\n",
       "      <td>-0.415004</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.291448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>model_year</th>\n",
       "      <td>0.579118</td>\n",
       "      <td>-0.341552</td>\n",
       "      <td>-0.366037</td>\n",
       "      <td>-0.414516</td>\n",
       "      <td>-0.305063</td>\n",
       "      <td>0.291448</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   mpg  cylinders  displacement  horsepower    weight  \\\n",
       "mpg           1.000000  -0.776927     -0.804549   -0.778380 -0.831467   \n",
       "cylinders    -0.776927   1.000000      0.950899    0.842660  0.897726   \n",
       "displacement -0.804549   0.950899      1.000000    0.896984  0.933099   \n",
       "horsepower   -0.778380   0.842660      0.896984    1.000000  0.864167   \n",
       "weight       -0.831467   0.897726      0.933099    0.864167  1.000000   \n",
       "acceleration  0.423129  -0.502776     -0.542057   -0.688518 -0.415004   \n",
       "model_year    0.579118  -0.341552     -0.366037   -0.414516 -0.305063   \n",
       "\n",
       "              acceleration  model_year  \n",
       "mpg               0.423129    0.579118  \n",
       "cylinders        -0.502776   -0.341552  \n",
       "displacement     -0.542057   -0.366037  \n",
       "horsepower       -0.688518   -0.414516  \n",
       "weight           -0.415004   -0.305063  \n",
       "acceleration      1.000000    0.291448  \n",
       "model_year        0.291448    1.000000  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# So weight has the highest correlation with mpg based on correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x23495f9a4e0>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='weight', y = 'mpg', data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# See something is wrong with the 90 mpg. It is an outlier, let's remove it"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before removal  (393, 9)\n",
      "After removal  (393, 9)\n"
     ]
    }
   ],
   "source": [
    "print(\"Before removal \", df.shape)\n",
    "df = df[ df['mpg'] < 80]\n",
    "print(\"After removal \", df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x22df450b940>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='weight', y = 'mpg', data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# other high correlation variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x22df456f278>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='weight', y ='displacement', data =df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# In fact, one can do a \"Pair Plot\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x22df4500eb8>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1260x1260 with 56 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now focus on the relationship between horsepower and weight. Horsepower can pretty much \"determine\" the weight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x22df69510f0>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='horsepower', y = 'weight', data = df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fit a linear Regression model (will spend more time in a separate notebook on regression)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x22df7269f98>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Extract a numpy array from the dataframe\n",
    "X = df['horsepower'].values\n",
    "Y = df['weight'].values\n",
    "sns.scatterplot(x=X, y=Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a model\n",
    "from sklearn.linear_model import LinearRegression\n",
    "model = LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Nee a 2D numpy array, so call reshape(-1, 1)\n",
    "X = df['horsepower'].values.reshape(-1,1)\n",
    "Y = df['weight'].values.reshape(-1,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None,\n",
       "         normalize=False)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Fit the model\n",
    "model.fit(X, Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# now make the prediction\n",
    "Y_pred = model.predict(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(X, Y,  color='gray')\n",
    "plt.plot(X, Y_pred, color='red', linewidth=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[982.08396822]\n",
      "[[19.08743637]]\n"
     ]
    }
   ],
   "source": [
    "print(model.intercept_)\n",
    "print(model.coef_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now investigate categorical variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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>mpg</th>\n",
       "      <th>cylinders</th>\n",
       "      <th>displacement</th>\n",
       "      <th>horsepower</th>\n",
       "      <th>weight</th>\n",
       "      <th>acceleration</th>\n",
       "      <th>model_year</th>\n",
       "      <th>origin</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>307.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>3504</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>chevrolet chevelle malibu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15.0</td>\n",
       "      <td>8</td>\n",
       "      <td>350.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>3693</td>\n",
       "      <td>11.5</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>buick skylark 320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.0</td>\n",
       "      <td>8</td>\n",
       "      <td>318.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3436</td>\n",
       "      <td>11.0</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>plymouth satellite</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>16.0</td>\n",
       "      <td>8</td>\n",
       "      <td>304.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>3433</td>\n",
       "      <td>12.0</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>amc rebel sst</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>17.0</td>\n",
       "      <td>8</td>\n",
       "      <td>302.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>3449</td>\n",
       "      <td>10.5</td>\n",
       "      <td>70</td>\n",
       "      <td>usa</td>\n",
       "      <td>ford torino</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    mpg  cylinders  displacement  horsepower  weight  acceleration  \\\n",
       "0  18.0          8         307.0       130.0    3504          12.0   \n",
       "1  15.0          8         350.0       165.0    3693          11.5   \n",
       "2  18.0          8         318.0       150.0    3436          11.0   \n",
       "3  16.0          8         304.0       150.0    3433          12.0   \n",
       "4  17.0          8         302.0       140.0    3449          10.5   \n",
       "\n",
       "   model_year origin                       name  \n",
       "0          70    usa  chevrolet chevelle malibu  \n",
       "1          70    usa          buick skylark 320  \n",
       "2          70    usa         plymouth satellite  \n",
       "3          70    usa              amc rebel sst  \n",
       "4          70    usa                ford torino  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# count\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['usa', 'japan', 'europe'], dtype=object)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['origin'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['chevrolet chevelle malibu', 'buick skylark 320',\n",
       "       'plymouth satellite', 'amc rebel sst', 'ford torino',\n",
       "       'ford galaxie 500', 'chevrolet impala', 'plymouth fury iii',\n",
       "       'pontiac catalina', 'amc ambassador dpl', 'dodge challenger se',\n",
       "       \"plymouth 'cuda 340\", 'chevrolet monte carlo',\n",
       "       'buick estate wagon (sw)', 'toyota corona mark ii',\n",
       "       'plymouth duster', 'amc hornet', 'ford maverick', 'datsun pl510',\n",
       "       'volkswagen 1131 deluxe sedan', 'peugeot 504', 'audi 100 ls',\n",
       "       'saab 99e', 'bmw 2002', 'amc gremlin', 'ford f250', 'chevy c20',\n",
       "       'dodge d200', 'hi 1200d', 'chevrolet vega 2300', 'toyota corona',\n",
       "       'plymouth satellite custom', 'ford torino 500', 'amc matador',\n",
       "       'pontiac catalina brougham', 'dodge monaco (sw)',\n",
       "       'ford country squire (sw)', 'pontiac safari (sw)',\n",
       "       'amc hornet sportabout (sw)', 'chevrolet vega (sw)',\n",
       "       'pontiac firebird', 'ford mustang', 'mercury capri 2000',\n",
       "       'opel 1900', 'peugeot 304', 'fiat 124b', 'toyota corolla 1200',\n",
       "       'datsun 1200', 'volkswagen model 111', 'plymouth cricket',\n",
       "       'toyota corona hardtop', 'dodge colt hardtop', 'volkswagen type 3',\n",
       "       'chevrolet vega', 'ford pinto runabout', 'amc ambassador sst',\n",
       "       'mercury marquis', 'buick lesabre custom',\n",
       "       'oldsmobile delta 88 royale', 'chrysler newport royal',\n",
       "       'mazda rx2 coupe', 'amc matador (sw)',\n",
       "       'chevrolet chevelle concours (sw)', 'ford gran torino (sw)',\n",
       "       'plymouth satellite custom (sw)', 'volvo 145e (sw)',\n",
       "       'volkswagen 411 (sw)', 'peugeot 504 (sw)', 'renault 12 (sw)',\n",
       "       'ford pinto (sw)', 'datsun 510 (sw)',\n",
       "       'toyouta corona mark ii (sw)', 'dodge colt (sw)',\n",
       "       'toyota corolla 1600 (sw)', 'buick century 350',\n",
       "       'chevrolet malibu', 'ford gran torino', 'dodge coronet custom',\n",
       "       'mercury marquis brougham', 'chevrolet caprice classic',\n",
       "       'ford ltd', 'plymouth fury gran sedan',\n",
       "       'chrysler new yorker brougham', 'buick electra 225 custom',\n",
       "       'amc ambassador brougham', 'plymouth valiant',\n",
       "       'chevrolet nova custom', 'volkswagen super beetle', 'ford country',\n",
       "       'plymouth custom suburb', 'oldsmobile vista cruiser',\n",
       "       'toyota carina', 'datsun 610', 'maxda rx3', 'ford pinto',\n",
       "       'mercury capri v6', 'fiat 124 sport coupe',\n",
       "       'chevrolet monte carlo s', 'pontiac grand prix', 'fiat 128',\n",
       "       'opel manta', 'audi 100ls', 'volvo 144ea', 'dodge dart custom',\n",
       "       'saab 99le', 'toyota mark ii', 'oldsmobile omega',\n",
       "       'chevrolet nova', 'datsun b210',\n",
       "       'chevrolet chevelle malibu classic', 'plymouth satellite sebring',\n",
       "       'buick century luxus (sw)', 'dodge coronet custom (sw)',\n",
       "       'audi fox', 'volkswagen dasher', 'datsun 710', 'dodge colt',\n",
       "       'fiat 124 tc', 'honda civic', 'subaru', 'fiat x1.9',\n",
       "       'plymouth valiant custom', 'mercury monarch', 'chevrolet bel air',\n",
       "       'plymouth grand fury', 'buick century',\n",
       "       'chevroelt chevelle malibu', 'plymouth fury', 'buick skyhawk',\n",
       "       'chevrolet monza 2+2', 'ford mustang ii', 'toyota corolla',\n",
       "       'pontiac astro', 'volkswagen rabbit', 'amc pacer', 'volvo 244dl',\n",
       "       'honda civic cvcc', 'fiat 131', 'capri ii', 'renault 12tl',\n",
       "       'dodge coronet brougham', 'chevrolet chevette', 'chevrolet woody',\n",
       "       'vw rabbit', 'dodge aspen se', 'ford granada ghia',\n",
       "       'pontiac ventura sj', 'amc pacer d/l', 'datsun b-210', 'volvo 245',\n",
       "       'plymouth volare premier v8', 'mercedes-benz 280s',\n",
       "       'cadillac seville', 'chevy c10', 'ford f108', 'dodge d100',\n",
       "       'honda accord cvcc', 'buick opel isuzu deluxe', 'renault 5 gtl',\n",
       "       'plymouth arrow gs', 'datsun f-10 hatchback',\n",
       "       'oldsmobile cutlass supreme', 'dodge monaco brougham',\n",
       "       'mercury cougar brougham', 'chevrolet concours', 'buick skylark',\n",
       "       'plymouth volare custom', 'ford granada', 'pontiac grand prix lj',\n",
       "       'chevrolet monte carlo landau', 'chrysler cordoba',\n",
       "       'ford thunderbird', 'volkswagen rabbit custom',\n",
       "       'pontiac sunbird coupe', 'toyota corolla liftback',\n",
       "       'ford mustang ii 2+2', 'dodge colt m/m', 'subaru dl', 'datsun 810',\n",
       "       'bmw 320i', 'mazda rx-4', 'volkswagen rabbit custom diesel',\n",
       "       'ford fiesta', 'mazda glc deluxe', 'datsun b210 gx',\n",
       "       'oldsmobile cutlass salon brougham', 'dodge diplomat',\n",
       "       'mercury monarch ghia', 'pontiac phoenix lj',\n",
       "       'ford fairmont (auto)', 'ford fairmont (man)', 'plymouth volare',\n",
       "       'amc concord', 'buick century special', 'mercury zephyr',\n",
       "       'dodge aspen', 'amc concord d/l',\n",
       "       'buick regal sport coupe (turbo)', 'ford futura',\n",
       "       'dodge magnum xe', 'datsun 510', 'dodge omni',\n",
       "       'toyota celica gt liftback', 'plymouth sapporo',\n",
       "       'oldsmobile starfire sx', 'datsun 200-sx', 'audi 5000',\n",
       "       'volvo 264gl', 'saab 99gle', 'peugeot 604sl',\n",
       "       'volkswagen scirocco', 'honda accord lx', 'pontiac lemans v6',\n",
       "       'mercury zephyr 6', 'ford fairmont 4', 'amc concord dl 6',\n",
       "       'dodge aspen 6', 'ford ltd landau', 'mercury grand marquis',\n",
       "       'dodge st. regis', 'chevrolet malibu classic (sw)',\n",
       "       'chrysler lebaron town @ country (sw)', 'vw rabbit custom',\n",
       "       'maxda glc deluxe', 'dodge colt hatchback custom', 'amc spirit dl',\n",
       "       'mercedes benz 300d', 'cadillac eldorado', 'plymouth horizon',\n",
       "       'plymouth horizon tc3', 'datsun 210', 'fiat strada custom',\n",
       "       'buick skylark limited', 'chevrolet citation',\n",
       "       'oldsmobile omega brougham', 'pontiac phoenix',\n",
       "       'toyota corolla tercel', 'datsun 310', 'ford fairmont',\n",
       "       'audi 4000', 'toyota corona liftback', 'mazda 626',\n",
       "       'datsun 510 hatchback', 'mazda glc', 'vw rabbit c (diesel)',\n",
       "       'vw dasher (diesel)', 'audi 5000s (diesel)', 'mercedes-benz 240d',\n",
       "       'honda civic 1500 gl', 'vokswagen rabbit', 'datsun 280-zx',\n",
       "       'mazda rx-7 gs', 'triumph tr7 coupe', 'honda accord',\n",
       "       'plymouth reliant', 'dodge aries wagon (sw)', 'toyota starlet',\n",
       "       'plymouth champ', 'honda civic 1300', 'datsun 210 mpg',\n",
       "       'toyota tercel', 'mazda glc 4', 'plymouth horizon 4',\n",
       "       'ford escort 4w', 'ford escort 2h', 'volkswagen jetta',\n",
       "       'honda prelude', 'datsun 200sx', 'peugeot 505s turbo diesel',\n",
       "       'volvo diesel', 'toyota cressida', 'datsun 810 maxima',\n",
       "       'oldsmobile cutlass ls', 'ford granada gl',\n",
       "       'chrysler lebaron salon', 'chevrolet cavalier',\n",
       "       'chevrolet cavalier wagon', 'chevrolet cavalier 2-door',\n",
       "       'pontiac j2000 se hatchback', 'dodge aries se',\n",
       "       'ford fairmont futura', 'volkswagen rabbit l',\n",
       "       'mazda glc custom l', 'mazda glc custom', 'plymouth horizon miser',\n",
       "       'mercury lynx l', 'nissan stanza xe', 'honda civic (auto)',\n",
       "       'datsun 310 gx', 'buick century limited',\n",
       "       'oldsmobile cutlass ciera (diesel)', 'chrysler lebaron medallion',\n",
       "       'ford granada l', 'toyota celica gt', 'dodge charger 2.2',\n",
       "       'chevrolet camaro', 'ford mustang gl', 'vw pickup',\n",
       "       'dodge rampage', 'ford ranger', 'chevy s-10'], dtype=object)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['name'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "usa       246\n",
       "japan      80\n",
       "europe     68\n",
       "Name: origin, dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['origin'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Group By functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">acceleration</th>\n",
       "      <th colspan=\"2\" halign=\"left\">cylinders</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"2\" halign=\"left\">mpg</th>\n",
       "      <th colspan=\"8\" halign=\"left\">weight</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>...</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>origin</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>europe</th>\n",
       "      <td>68.0</td>\n",
       "      <td>16.794118</td>\n",
       "      <td>3.087813</td>\n",
       "      <td>12.2</td>\n",
       "      <td>14.5</td>\n",
       "      <td>15.6</td>\n",
       "      <td>19.125</td>\n",
       "      <td>24.8</td>\n",
       "      <td>68.0</td>\n",
       "      <td>4.161765</td>\n",
       "      <td>...</td>\n",
       "      <td>30.125</td>\n",
       "      <td>44.3</td>\n",
       "      <td>68.0</td>\n",
       "      <td>2433.470588</td>\n",
       "      <td>491.813867</td>\n",
       "      <td>1825.0</td>\n",
       "      <td>2071.75</td>\n",
       "      <td>2240.0</td>\n",
       "      <td>2803.75</td>\n",
       "      <td>3820.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>japan</th>\n",
       "      <td>80.0</td>\n",
       "      <td>16.145000</td>\n",
       "      <td>1.957646</td>\n",
       "      <td>11.4</td>\n",
       "      <td>14.5</td>\n",
       "      <td>16.3</td>\n",
       "      <td>17.525</td>\n",
       "      <td>21.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>4.100000</td>\n",
       "      <td>...</td>\n",
       "      <td>34.025</td>\n",
       "      <td>46.6</td>\n",
       "      <td>80.0</td>\n",
       "      <td>2221.312500</td>\n",
       "      <td>318.463224</td>\n",
       "      <td>1613.0</td>\n",
       "      <td>1985.00</td>\n",
       "      <td>2157.5</td>\n",
       "      <td>2408.75</td>\n",
       "      <td>2930.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usa</th>\n",
       "      <td>245.0</td>\n",
       "      <td>14.990204</td>\n",
       "      <td>2.736020</td>\n",
       "      <td>8.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>16.700</td>\n",
       "      <td>22.2</td>\n",
       "      <td>245.0</td>\n",
       "      <td>6.277551</td>\n",
       "      <td>...</td>\n",
       "      <td>24.000</td>\n",
       "      <td>39.0</td>\n",
       "      <td>245.0</td>\n",
       "      <td>3372.489796</td>\n",
       "      <td>795.346690</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>2720.00</td>\n",
       "      <td>3381.0</td>\n",
       "      <td>4055.00</td>\n",
       "      <td>5140.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 56 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       acceleration                                                       \\\n",
       "              count       mean       std   min   25%   50%     75%   max   \n",
       "origin                                                                     \n",
       "europe         68.0  16.794118  3.087813  12.2  14.5  15.6  19.125  24.8   \n",
       "japan          80.0  16.145000  1.957646  11.4  14.5  16.3  17.525  21.0   \n",
       "usa           245.0  14.990204  2.736020   8.0  13.0  15.0  16.700  22.2   \n",
       "\n",
       "       cylinders             ...       mpg       weight               \\\n",
       "           count      mean   ...       75%   max  count         mean   \n",
       "origin                       ...                                       \n",
       "europe      68.0  4.161765   ...    30.125  44.3   68.0  2433.470588   \n",
       "japan       80.0  4.100000   ...    34.025  46.6   80.0  2221.312500   \n",
       "usa        245.0  6.277551   ...    24.000  39.0  245.0  3372.489796   \n",
       "\n",
       "                                                              \n",
       "               std     min      25%     50%      75%     max  \n",
       "origin                                                        \n",
       "europe  491.813867  1825.0  2071.75  2240.0  2803.75  3820.0  \n",
       "japan   318.463224  1613.0  1985.00  2157.5  2408.75  2930.0  \n",
       "usa     795.346690  1800.0  2720.00  3381.0  4055.00  5140.0  \n",
       "\n",
       "[3 rows x 56 columns]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['origin']).describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>origin</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>europe</th>\n",
       "      <td>68.0</td>\n",
       "      <td>2433.470588</td>\n",
       "      <td>491.813867</td>\n",
       "      <td>1825.0</td>\n",
       "      <td>2071.75</td>\n",
       "      <td>2240.0</td>\n",
       "      <td>2803.75</td>\n",
       "      <td>3820.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>japan</th>\n",
       "      <td>80.0</td>\n",
       "      <td>2221.312500</td>\n",
       "      <td>318.463224</td>\n",
       "      <td>1613.0</td>\n",
       "      <td>1985.00</td>\n",
       "      <td>2157.5</td>\n",
       "      <td>2408.75</td>\n",
       "      <td>2930.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usa</th>\n",
       "      <td>245.0</td>\n",
       "      <td>3372.489796</td>\n",
       "      <td>795.346690</td>\n",
       "      <td>1800.0</td>\n",
       "      <td>2720.00</td>\n",
       "      <td>3381.0</td>\n",
       "      <td>4055.00</td>\n",
       "      <td>5140.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        count         mean         std     min      25%     50%      75%  \\\n",
       "origin                                                                     \n",
       "europe   68.0  2433.470588  491.813867  1825.0  2071.75  2240.0  2803.75   \n",
       "japan    80.0  2221.312500  318.463224  1613.0  1985.00  2157.5  2408.75   \n",
       "usa     245.0  3372.489796  795.346690  1800.0  2720.00  3381.0  4055.00   \n",
       "\n",
       "           max  \n",
       "origin          \n",
       "europe  3820.0  \n",
       "japan   2930.0  \n",
       "usa     5140.0  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['origin'])['weight'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "origin\n",
       "europe    491.813867\n",
       "japan     318.463224\n",
       "usa       795.346690\n",
       "Name: weight, dtype: float64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['origin'])['weight'].std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "origin\n",
       "europe    2433.470588\n",
       "japan     2221.312500\n",
       "usa       3372.489796\n",
       "Name: weight, dtype: float64"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['origin'])['weight'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "origin\n",
       "europe    0.812081\n",
       "japan     0.500697\n",
       "usa       0.067009\n",
       "Name: weight, dtype: float64"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['origin'])['weight'].skew()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for kurtosis, df.groupby(['origin'])['weight'].kurtosis() will NOT work"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "origin\n",
       "europe   -0.249813\n",
       "japan    -0.347260\n",
       "usa      -0.969051\n",
       "Name: weight, dtype: float64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['origin'])['weight'].apply(pd.DataFrame.kurtosis)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "USA kurtosis  -0.9654941402866393\n",
      "Europe kurtosis  -0.24981293941037874\n",
      "Europe kurtosis  -0.34725957538370134\n"
     ]
    }
   ],
   "source": [
    "print(\"USA kurtosis \", df[df['origin'] == 'usa']['weight'].kurtosis())\n",
    "print(\"Europe kurtosis \", df[df['origin'] == 'europe']['weight'].kurtosis())\n",
    "print(\"Europe kurtosis \", df[df['origin'] == 'japan']['weight'].kurtosis())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# FacetGrid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1fff948cfd0>"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['mpg'].hist(bins=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 648x216 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(df, col = 'origin')\n",
    "g = g.map(plt.hist, 'mpg', bins=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1fff92c2518>"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['weight'].hist(bins=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 648x216 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(df, col = 'origin')\n",
    "g = g.map(plt.hist, 'weight', bins=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1fffa6fda20>"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='horsepower', y = 'mpg', data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 656x216 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(df, col = 'origin')\n",
    "g = (g.map(plt.scatter, \"horsepower\", \"mpg\").add_legend())"
   ]
  },
  {
   "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}