Cardio fitness Case Study (Descriptive Statistics).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "606018a3",
   "metadata": {},
   "source": [
    "## Perform descriptive analytics to create a customer profile for each CardioGood Fitness treadmill product line."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "22ff0b02",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2b6e1f8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Education</th>\n",
       "      <th>MaritalStatus</th>\n",
       "      <th>Usage</th>\n",
       "      <th>Fitness</th>\n",
       "      <th>Income</th>\n",
       "      <th>Miles</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>TM195</td>\n",
       "      <td>18</td>\n",
       "      <td>Male</td>\n",
       "      <td>14</td>\n",
       "      <td>Single</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>29562</td>\n",
       "      <td>112</td>\n",
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       "      <td>TM195</td>\n",
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       "      <td>15</td>\n",
       "      <td>Single</td>\n",
       "      <td>2</td>\n",
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       "      <td>31836</td>\n",
       "      <td>75</td>\n",
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       "      <th>2</th>\n",
       "      <td>TM195</td>\n",
       "      <td>19</td>\n",
       "      <td>Female</td>\n",
       "      <td>14</td>\n",
       "      <td>Partnered</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>30699</td>\n",
       "      <td>66</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TM195</td>\n",
       "      <td>19</td>\n",
       "      <td>Male</td>\n",
       "      <td>12</td>\n",
       "      <td>Single</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>32973</td>\n",
       "      <td>85</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>TM195</td>\n",
       "      <td>20</td>\n",
       "      <td>Male</td>\n",
       "      <td>13</td>\n",
       "      <td>Partnered</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>35247</td>\n",
       "      <td>47</td>\n",
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       "      <th>175</th>\n",
       "      <td>TM798</td>\n",
       "      <td>40</td>\n",
       "      <td>Male</td>\n",
       "      <td>21</td>\n",
       "      <td>Single</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>83416</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>TM798</td>\n",
       "      <td>42</td>\n",
       "      <td>Male</td>\n",
       "      <td>18</td>\n",
       "      <td>Single</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>89641</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>TM798</td>\n",
       "      <td>45</td>\n",
       "      <td>Male</td>\n",
       "      <td>16</td>\n",
       "      <td>Single</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>90886</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>TM798</td>\n",
       "      <td>47</td>\n",
       "      <td>Male</td>\n",
       "      <td>18</td>\n",
       "      <td>Partnered</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>104581</td>\n",
       "      <td>120</td>\n",
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       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>TM798</td>\n",
       "      <td>48</td>\n",
       "      <td>Male</td>\n",
       "      <td>18</td>\n",
       "      <td>Partnered</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>95508</td>\n",
       "      <td>180</td>\n",
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       "<p>180 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Product  Age  Gender  Education MaritalStatus  Usage  Fitness  Income  \\\n",
       "0     TM195   18    Male         14        Single      3        4   29562   \n",
       "1     TM195   19    Male         15        Single      2        3   31836   \n",
       "2     TM195   19  Female         14     Partnered      4        3   30699   \n",
       "3     TM195   19    Male         12        Single      3        3   32973   \n",
       "4     TM195   20    Male         13     Partnered      4        2   35247   \n",
       "..      ...  ...     ...        ...           ...    ...      ...     ...   \n",
       "175   TM798   40    Male         21        Single      6        5   83416   \n",
       "176   TM798   42    Male         18        Single      5        4   89641   \n",
       "177   TM798   45    Male         16        Single      5        5   90886   \n",
       "178   TM798   47    Male         18     Partnered      4        5  104581   \n",
       "179   TM798   48    Male         18     Partnered      4        5   95508   \n",
       "\n",
       "     Miles  \n",
       "0      112  \n",
       "1       75  \n",
       "2       66  \n",
       "3       85  \n",
       "4       47  \n",
       "..     ...  \n",
       "175    200  \n",
       "176    200  \n",
       "177    160  \n",
       "178    120  \n",
       "179    180  \n",
       "\n",
       "[180 rows x 9 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"CardioGoodFitness-1.csv\")\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "028dd5e9",
   "metadata": {},
   "outputs": [
    {
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       "      <th>Usage</th>\n",
       "      <th>Fitness</th>\n",
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       "      <td>180.000000</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>180.000000</td>\n",
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       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>28.788889</td>\n",
       "      <td>15.572222</td>\n",
       "      <td>3.455556</td>\n",
       "      <td>3.311111</td>\n",
       "      <td>53719.577778</td>\n",
       "      <td>103.194444</td>\n",
       "    </tr>\n",
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       "      <th>std</th>\n",
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       "      <td>16506.684226</td>\n",
       "      <td>51.863605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>18.000000</td>\n",
       "      <td>12.000000</td>\n",
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       "      <td>1.000000</td>\n",
       "      <td>29562.000000</td>\n",
       "      <td>21.000000</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>24.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>44058.750000</td>\n",
       "      <td>66.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>26.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>50596.500000</td>\n",
       "      <td>94.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>33.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>58668.000000</td>\n",
       "      <td>114.750000</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>50.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>104581.000000</td>\n",
       "      <td>360.000000</td>\n",
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      ],
      "text/plain": [
       "              Age   Education       Usage     Fitness         Income  \\\n",
       "count  180.000000  180.000000  180.000000  180.000000     180.000000   \n",
       "mean    28.788889   15.572222    3.455556    3.311111   53719.577778   \n",
       "std      6.943498    1.617055    1.084797    0.958869   16506.684226   \n",
       "min     18.000000   12.000000    2.000000    1.000000   29562.000000   \n",
       "25%     24.000000   14.000000    3.000000    3.000000   44058.750000   \n",
       "50%     26.000000   16.000000    3.000000    3.000000   50596.500000   \n",
       "75%     33.000000   16.000000    4.000000    4.000000   58668.000000   \n",
       "max     50.000000   21.000000    7.000000    5.000000  104581.000000   \n",
       "\n",
       "            Miles  \n",
       "count  180.000000  \n",
       "mean   103.194444  \n",
       "std     51.863605  \n",
       "min     21.000000  \n",
       "25%     66.000000  \n",
       "50%     94.000000  \n",
       "75%    114.750000  \n",
       "max    360.000000  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e741b052",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Product</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Education</th>\n",
       "      <th>MaritalStatus</th>\n",
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       "      <td>180</td>\n",
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       "      <th>unique</th>\n",
       "      <td>3</td>\n",
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       "      <th>top</th>\n",
       "      <td>TM195</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Partnered</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>freq</th>\n",
       "      <td>80</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>mean</th>\n",
       "      <td>NaN</td>\n",
       "      <td>28.788889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.572222</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.455556</td>\n",
       "      <td>3.311111</td>\n",
       "      <td>53719.577778</td>\n",
       "      <td>103.194444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>6.943498</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>1.084797</td>\n",
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       "      <th>min</th>\n",
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       "      <td>18.000000</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>29562.000000</td>\n",
       "      <td>21.000000</td>\n",
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       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>44058.750000</td>\n",
       "      <td>66.000000</td>\n",
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       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>26.000000</td>\n",
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       "      <td>16.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.000000</td>\n",
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       "      <th>75%</th>\n",
       "      <td>NaN</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>7.000000</td>\n",
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      "text/plain": [
       "       Product         Age Gender   Education MaritalStatus       Usage  \\\n",
       "count      180  180.000000    180  180.000000           180  180.000000   \n",
       "unique       3         NaN      2         NaN             2         NaN   \n",
       "top      TM195         NaN   Male         NaN     Partnered         NaN   \n",
       "freq        80         NaN    104         NaN           107         NaN   \n",
       "mean       NaN   28.788889    NaN   15.572222           NaN    3.455556   \n",
       "std        NaN    6.943498    NaN    1.617055           NaN    1.084797   \n",
       "min        NaN   18.000000    NaN   12.000000           NaN    2.000000   \n",
       "25%        NaN   24.000000    NaN   14.000000           NaN    3.000000   \n",
       "50%        NaN   26.000000    NaN   16.000000           NaN    3.000000   \n",
       "75%        NaN   33.000000    NaN   16.000000           NaN    4.000000   \n",
       "max        NaN   50.000000    NaN   21.000000           NaN    7.000000   \n",
       "\n",
       "           Fitness         Income       Miles  \n",
       "count   180.000000     180.000000  180.000000  \n",
       "unique         NaN            NaN         NaN  \n",
       "top            NaN            NaN         NaN  \n",
       "freq           NaN            NaN         NaN  \n",
       "mean      3.311111   53719.577778  103.194444  \n",
       "std       0.958869   16506.684226   51.863605  \n",
       "min       1.000000   29562.000000   21.000000  \n",
       "25%       3.000000   44058.750000   66.000000  \n",
       "50%       3.000000   50596.500000   94.000000  \n",
       "75%       4.000000   58668.000000  114.750000  \n",
       "max       5.000000  104581.000000  360.000000  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include=\"all\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fa1f03c0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Product          0\n",
       "Age              0\n",
       "Gender           0\n",
       "Education        0\n",
       "MaritalStatus    0\n",
       "Usage            0\n",
       "Fitness          0\n",
       "Income           0\n",
       "Miles            0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f6d8d3d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e59ff186",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'Age'}>,\n",
       "        <AxesSubplot:title={'center':'Education'}>],\n",
       "       [<AxesSubplot:title={'center':'Usage'}>,\n",
       "        <AxesSubplot:title={'center':'Fitness'}>],\n",
       "       [<AxesSubplot:title={'center':'Income'}>,\n",
       "        <AxesSubplot:title={'center':'Miles'}>]], dtype=object)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1440 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist(figsize=(15,20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e2cf9ba9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Product', ylabel='Age'>"
      ]
     },
     "execution_count": 8,
     "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": [
    "import seaborn as sns\n",
    "sns.boxplot(x=\"Product\",y=\"Age\",data=df)   ### One should be numerical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "44cf5abf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='MaritalStatus', ylabel='Age'>"
      ]
     },
     "execution_count": 9,
     "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=\"MaritalStatus\", y=\"Age\", data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5ef63694",
   "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>Gender</th>\n",
       "      <th>Female</th>\n",
       "      <th>Male</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>TM195</th>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TM498</th>\n",
       "      <td>29</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TM798</th>\n",
       "      <td>7</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Gender   Female  Male\n",
       "Product              \n",
       "TM195        40    40\n",
       "TM498        29    31\n",
       "TM798         7    33"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.crosstab(df[\"Product\"],df[\"Gender\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "318b656b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Product', ylabel='count'>"
      ]
     },
     "execution_count": 11,
     "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.countplot(x=\"Product\",hue=\"MaritalStatus\",data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "eaebed1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Product', ylabel='count'>"
      ]
     },
     "execution_count": 12,
     "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.countplot(x=\"Product\",hue=\"Gender\",data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e54719e3",
   "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></th>\n",
       "      <th colspan=\"2\" halign=\"left\">Age</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Education</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Fitness</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Income</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Miles</th>\n",
       "      <th colspan=\"2\" halign=\"left\">Usage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>MaritalStatus</th>\n",
       "      <th>Partnered</th>\n",
       "      <th>Single</th>\n",
       "      <th>Partnered</th>\n",
       "      <th>Single</th>\n",
       "      <th>Partnered</th>\n",
       "      <th>Single</th>\n",
       "      <th>Partnered</th>\n",
       "      <th>Single</th>\n",
       "      <th>Partnered</th>\n",
       "      <th>Single</th>\n",
       "      <th>Partnered</th>\n",
       "      <th>Single</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product</th>\n",
       "      <th>Gender</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 rowspan=\"2\" valign=\"top\">TM195</th>\n",
       "      <th>Female</th>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>21</td>\n",
       "      <td>19</td>\n",
       "      <td>21</td>\n",
       "      <td>19</td>\n",
       "      <td>21</td>\n",
       "      <td>19</td>\n",
       "      <td>21</td>\n",
       "      <td>19</td>\n",
       "      <td>21</td>\n",
       "      <td>19</td>\n",
       "      <td>21</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">TM498</th>\n",
       "      <th>Female</th>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">TM798</th>\n",
       "      <th>Female</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>19</td>\n",
       "      <td>14</td>\n",
       "      <td>19</td>\n",
       "      <td>14</td>\n",
       "      <td>19</td>\n",
       "      <td>14</td>\n",
       "      <td>19</td>\n",
       "      <td>14</td>\n",
       "      <td>19</td>\n",
       "      <td>14</td>\n",
       "      <td>19</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Age        Education          Fitness           Income  \\\n",
       "MaritalStatus  Partnered Single Partnered Single Partnered Single Partnered   \n",
       "Product Gender                                                                \n",
       "TM195   Female        27     13        27     13        27     13        27   \n",
       "        Male          21     19        21     19        21     19        21   \n",
       "TM498   Female        15     14        15     14        15     14        15   \n",
       "        Male          21     10        21     10        21     10        21   \n",
       "TM798   Female         4      3         4      3         4      3         4   \n",
       "        Male          19     14        19     14        19     14        19   \n",
       "\n",
       "                          Miles            Usage         \n",
       "MaritalStatus  Single Partnered Single Partnered Single  \n",
       "Product Gender                                           \n",
       "TM195   Female     13        27     13        27     13  \n",
       "        Male       19        21     19        21     19  \n",
       "TM498   Female     14        15     14        15     14  \n",
       "        Male       10        21     10        21     10  \n",
       "TM798   Female      3         4      3         4      3  \n",
       "        Male       14        19     14        19     14  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " pd.pivot_table(df,index=[\"Product\",\"Gender\"],columns=[\"MaritalStatus\"],aggfunc=len)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a16e05ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>MaritalStatus</th>\n",
       "      <th>Partnered</th>\n",
       "      <th>Single</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product</th>\n",
       "      <th>Gender</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">TM195</th>\n",
       "      <th>Female</th>\n",
       "      <td>27</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>21</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">TM498</th>\n",
       "      <th>Female</th>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">TM798</th>\n",
       "      <th>Female</th>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>19</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "MaritalStatus   Partnered  Single\n",
       "Product Gender                   \n",
       "TM195   Female         27      13\n",
       "        Male           21      19\n",
       "TM498   Female         15      14\n",
       "        Male           21      10\n",
       "TM798   Female          4       3\n",
       "        Male           19      14"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " pd.pivot_table(df,'Income',index=[\"Product\",\"Gender\"],columns=[\"MaritalStatus\"],aggfunc=len)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b69d8118",
   "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>MaritalStatus</th>\n",
       "      <th>Partnered</th>\n",
       "      <th>Single</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Product</th>\n",
       "      <th>Gender</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">TM195</th>\n",
       "      <th>Female</th>\n",
       "      <td>74.925926</td>\n",
       "      <td>78.846154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>80.190476</td>\n",
       "      <td>99.526316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">TM498</th>\n",
       "      <th>Female</th>\n",
       "      <td>94.000000</td>\n",
       "      <td>80.214286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>87.238095</td>\n",
       "      <td>91.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">TM798</th>\n",
       "      <th>Female</th>\n",
       "      <td>215.000000</td>\n",
       "      <td>133.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Male</th>\n",
       "      <td>176.315789</td>\n",
       "      <td>147.571429</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "MaritalStatus    Partnered      Single\n",
       "Product Gender                        \n",
       "TM195   Female   74.925926   78.846154\n",
       "        Male     80.190476   99.526316\n",
       "TM498   Female   94.000000   80.214286\n",
       "        Male     87.238095   91.100000\n",
       "TM798   Female  215.000000  133.333333\n",
       "        Male    176.315789  147.571429"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.pivot_table(df,\"Miles\",index=[\"Product\",\"Gender\"],columns=[\"MaritalStatus\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9a04e61f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x26a8b7cb3a0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 42 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df,diag_kind='kde')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "34ed0eaf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.943498135399795"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Age\"].std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "4110b5e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "28.788888888888888"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Age\"].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "42242b62",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<AxesSubplot:title={'center':'Female'}>,\n",
       "       <AxesSubplot:title={'center':'Male'}>], dtype=object)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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nq295p62P70cfM0N/c69pXsr+FcBxwPVJ7k1yD/BZ4Fjg5bMMtoq+572XxbzH0Y+88/7+Tlsf348+Zob+jZWhzcVmHIAkv8jimQK/WFUPLJt+ZlV9cnbJBkuyDaiq+nKSXwLOBPZ0h8zPvSSXV9UrZ51jGEl+i8WLg9xSVZ+edZ5Z6Nv4gP6PkSV9GiuHMhdln+TPgNcBe4AtwBuq6spu3k1V9aszjPcISd7G4uXnHgVcy2IRXQ/8DvCpqvrrGcZ7hCSDzr74QuDfAarq9zc20aEl+Y+q2tbdfg2Ln41/AV4M/GtV7ZphvA3Xt/EB/RsjS/o2VtZjXsr+FuA3quqBJAvAR4HLq+pvk3ylqk6dbcKf1eXdAjwW+AHw1Kq6L8njgC9V1S/PMt9KSW4Cvg78A4sX1AjwIRZPw0tVXT+7dI+0/P95ki8DZ1fVgSSPZ3HN9rmzTbix+jY+oH9jZEnfxsp6zMs2+yOX/mlaVXuB04GzkrybwVcAmrWDVfVQVf038O2qug+gqh4EHp5ttIG2AjcCbwX+q6o+CzxYVdfP6Yf3iCTHJDmOxRWSAwBV9WPg4GyjzUTfxgf0b4ws6dtYGdq8lP0PkmxZutN9sF/C4uXA5nEt7qdJfq67/WtLE5MczRx+kKvq4aq6EPhj4K1J3suYp7eesqNZHHC7gWOTPBkgyVHMb7lNU9/GB/RsjCzp4VgZ2rxsxnkqi2sCPxgw77Sq+vwMYq0qyWOr6icDpm8CTqyqW2YQa2hJzgFOq6q3zDrLenTlcUJV3T7rLBupb+MD+j9GlvR1rAwyF2UvSZquedmMI0maIstekhpg2UtSAyx7SWqAZS9JDfg/kDVrYBhazTAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist(by=\"Gender\",column=\"Age\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1f0fd8eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<AxesSubplot:title={'center':'Female'}>,\n",
       "       <AxesSubplot:title={'center':'Male'}>], dtype=object)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist(by=\"Gender\",column=\"Income\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "97cd9966",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([<AxesSubplot:title={'center':'Female'}>,\n",
       "       <AxesSubplot:title={'center':'Male'}>], dtype=object)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist(by=\"Gender\",column=\"Miles\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "1345ae7b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'TM195'}>,\n",
       "        <AxesSubplot:title={'center':'TM498'}>],\n",
       "       [<AxesSubplot:title={'center':'TM798'}>, <AxesSubplot:>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist(by=\"Product\",column=\"Miles\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2031844b",
   "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>Age</th>\n",
       "      <th>Education</th>\n",
       "      <th>Usage</th>\n",
       "      <th>Fitness</th>\n",
       "      <th>Income</th>\n",
       "      <th>Miles</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.280496</td>\n",
       "      <td>0.015064</td>\n",
       "      <td>0.061105</td>\n",
       "      <td>0.513414</td>\n",
       "      <td>0.036618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Education</th>\n",
       "      <td>0.280496</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.395155</td>\n",
       "      <td>0.410581</td>\n",
       "      <td>0.625827</td>\n",
       "      <td>0.307284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Usage</th>\n",
       "      <td>0.015064</td>\n",
       "      <td>0.395155</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.668606</td>\n",
       "      <td>0.519537</td>\n",
       "      <td>0.759130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fitness</th>\n",
       "      <td>0.061105</td>\n",
       "      <td>0.410581</td>\n",
       "      <td>0.668606</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.535005</td>\n",
       "      <td>0.785702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Income</th>\n",
       "      <td>0.513414</td>\n",
       "      <td>0.625827</td>\n",
       "      <td>0.519537</td>\n",
       "      <td>0.535005</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.543473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Miles</th>\n",
       "      <td>0.036618</td>\n",
       "      <td>0.307284</td>\n",
       "      <td>0.759130</td>\n",
       "      <td>0.785702</td>\n",
       "      <td>0.543473</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Age  Education     Usage   Fitness    Income     Miles\n",
       "Age        1.000000   0.280496  0.015064  0.061105  0.513414  0.036618\n",
       "Education  0.280496   1.000000  0.395155  0.410581  0.625827  0.307284\n",
       "Usage      0.015064   0.395155  1.000000  0.668606  0.519537  0.759130\n",
       "Fitness    0.061105   0.410581  0.668606  1.000000  0.535005  0.785702\n",
       "Income     0.513414   0.625827  0.519537  0.535005  1.000000  0.543473\n",
       "Miles      0.036618   0.307284  0.759130  0.785702  0.543473  1.000000"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr = df.corr()\n",
    "corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "56b2fb92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(corr,annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7ccd6041",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}