FitBit EDA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "316a59e3",
   "metadata": {},
   "source": [
    "This is a basic EDA and exploring different functions as a practice of my exploratory and visualization skills."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce1018b3",
   "metadata": {},
   "source": [
    "The main dataset is from Fitness Fitbit tracker data that I got from [Kaggle](https://www.kaggle.com/datasets/gloriarc/fitbit-fitness-tracker-data-capstone-project). "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d8c10cf",
   "metadata": {},
   "source": [
    "For the most part, I explored the activity days and duration, total distance and steps, and eventually the different intensity of active minutes against calories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "68b66ab2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import datetime as dt\n",
    "import plotly\n",
    "import cufflinks as cf\n",
    "cf.go_offline()\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "14148d4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "tracker = pd.read_csv('Daily_Activity_2022_27_02.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "e499c9ca",
   "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>Id</th>\n",
       "      <th>ActivityDate</th>\n",
       "      <th>ActivityDay</th>\n",
       "      <th>TotalSteps</th>\n",
       "      <th>TotalDistance</th>\n",
       "      <th>TrackerDistance</th>\n",
       "      <th>LoggedActivitiesDistance</th>\n",
       "      <th>VeryActiveDistance</th>\n",
       "      <th>ModeratelyActiveDistance</th>\n",
       "      <th>LightActiveDistance</th>\n",
       "      <th>SedentaryActiveDistance</th>\n",
       "      <th>VeryActiveMinutes</th>\n",
       "      <th>FairlyActiveMinutes</th>\n",
       "      <th>LightlyActiveMinutes</th>\n",
       "      <th>SedentaryMinutes</th>\n",
       "      <th>Calories</th>\n",
       "      <th>Unnamed: 16</th>\n",
       "      <th>Unnamed: 17</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/12/2016</td>\n",
       "      <td>Tue</td>\n",
       "      <td>13162</td>\n",
       "      <td>8.50</td>\n",
       "      <td>8.50</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.88</td>\n",
       "      <td>0.55</td>\n",
       "      <td>6.06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25</td>\n",
       "      <td>13</td>\n",
       "      <td>328</td>\n",
       "      <td>728</td>\n",
       "      <td>1985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Tue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/13/2016</td>\n",
       "      <td>Wed</td>\n",
       "      <td>10735</td>\n",
       "      <td>6.97</td>\n",
       "      <td>6.97</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.57</td>\n",
       "      <td>0.69</td>\n",
       "      <td>4.71</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21</td>\n",
       "      <td>19</td>\n",
       "      <td>217</td>\n",
       "      <td>776</td>\n",
       "      <td>1797</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Wed</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/14/2016</td>\n",
       "      <td>Thu</td>\n",
       "      <td>10460</td>\n",
       "      <td>6.74</td>\n",
       "      <td>6.74</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.44</td>\n",
       "      <td>0.40</td>\n",
       "      <td>3.91</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30</td>\n",
       "      <td>11</td>\n",
       "      <td>181</td>\n",
       "      <td>1218</td>\n",
       "      <td>1776</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Thu</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/15/2016</td>\n",
       "      <td>Fri</td>\n",
       "      <td>9762</td>\n",
       "      <td>6.28</td>\n",
       "      <td>6.28</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.14</td>\n",
       "      <td>1.26</td>\n",
       "      <td>2.83</td>\n",
       "      <td>0.0</td>\n",
       "      <td>29</td>\n",
       "      <td>34</td>\n",
       "      <td>209</td>\n",
       "      <td>726</td>\n",
       "      <td>1745</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Fri</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1503960366</td>\n",
       "      <td>4/16/2016</td>\n",
       "      <td>Sat</td>\n",
       "      <td>12669</td>\n",
       "      <td>8.16</td>\n",
       "      <td>8.16</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.71</td>\n",
       "      <td>0.41</td>\n",
       "      <td>5.04</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36</td>\n",
       "      <td>10</td>\n",
       "      <td>221</td>\n",
       "      <td>773</td>\n",
       "      <td>1863</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sat</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Id ActivityDate ActivityDay  TotalSteps  TotalDistance  \\\n",
       "0  1503960366    4/12/2016         Tue       13162           8.50   \n",
       "1  1503960366    4/13/2016         Wed       10735           6.97   \n",
       "2  1503960366    4/14/2016         Thu       10460           6.74   \n",
       "3  1503960366    4/15/2016         Fri        9762           6.28   \n",
       "4  1503960366    4/16/2016         Sat       12669           8.16   \n",
       "\n",
       "   TrackerDistance  LoggedActivitiesDistance  VeryActiveDistance  \\\n",
       "0             8.50                       0.0                1.88   \n",
       "1             6.97                       0.0                1.57   \n",
       "2             6.74                       0.0                2.44   \n",
       "3             6.28                       0.0                2.14   \n",
       "4             8.16                       0.0                2.71   \n",
       "\n",
       "   ModeratelyActiveDistance  LightActiveDistance  SedentaryActiveDistance  \\\n",
       "0                      0.55                 6.06                      0.0   \n",
       "1                      0.69                 4.71                      0.0   \n",
       "2                      0.40                 3.91                      0.0   \n",
       "3                      1.26                 2.83                      0.0   \n",
       "4                      0.41                 5.04                      0.0   \n",
       "\n",
       "   VeryActiveMinutes  FairlyActiveMinutes  LightlyActiveMinutes  \\\n",
       "0                 25                   13                   328   \n",
       "1                 21                   19                   217   \n",
       "2                 30                   11                   181   \n",
       "3                 29                   34                   209   \n",
       "4                 36                   10                   221   \n",
       "\n",
       "   SedentaryMinutes  Calories  Unnamed: 16 Unnamed: 17  \n",
       "0               728      1985          NaN         Tue  \n",
       "1               776      1797          NaN         Wed  \n",
       "2              1218      1776          NaN         Thu  \n",
       "3               726      1745          NaN         Fri  \n",
       "4               773      1863          NaN         Sat  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tracker.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6ce8e4e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "tracker.drop(['Unnamed: 16', 'Unnamed: 17'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2bc94d11",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 940 entries, 0 to 939\n",
      "Data columns (total 16 columns):\n",
      " #   Column                    Non-Null Count  Dtype  \n",
      "---  ------                    --------------  -----  \n",
      " 0   Id                        940 non-null    int64  \n",
      " 1   ActivityDate              940 non-null    object \n",
      " 2   ActivityDay               940 non-null    object \n",
      " 3   TotalSteps                940 non-null    int64  \n",
      " 4   TotalDistance             940 non-null    float64\n",
      " 5   TrackerDistance           940 non-null    float64\n",
      " 6   LoggedActivitiesDistance  940 non-null    float64\n",
      " 7   VeryActiveDistance        940 non-null    float64\n",
      " 8   ModeratelyActiveDistance  940 non-null    float64\n",
      " 9   LightActiveDistance       940 non-null    float64\n",
      " 10  SedentaryActiveDistance   940 non-null    float64\n",
      " 11  VeryActiveMinutes         940 non-null    int64  \n",
      " 12  FairlyActiveMinutes       940 non-null    int64  \n",
      " 13  LightlyActiveMinutes      940 non-null    int64  \n",
      " 14  SedentaryMinutes          940 non-null    int64  \n",
      " 15  Calories                  940 non-null    int64  \n",
      "dtypes: float64(7), int64(7), object(2)\n",
      "memory usage: 117.6+ KB\n"
     ]
    }
   ],
   "source": [
    "tracker.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "95f7adcf",
   "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>Id</th>\n",
       "      <th>TotalSteps</th>\n",
       "      <th>TotalDistance</th>\n",
       "      <th>TrackerDistance</th>\n",
       "      <th>LoggedActivitiesDistance</th>\n",
       "      <th>VeryActiveDistance</th>\n",
       "      <th>ModeratelyActiveDistance</th>\n",
       "      <th>LightActiveDistance</th>\n",
       "      <th>SedentaryActiveDistance</th>\n",
       "      <th>VeryActiveMinutes</th>\n",
       "      <th>FairlyActiveMinutes</th>\n",
       "      <th>LightlyActiveMinutes</th>\n",
       "      <th>SedentaryMinutes</th>\n",
       "      <th>Calories</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>9.400000e+02</td>\n",
       "      <td>940.000000</td>\n",
       "      <td>940.000000</td>\n",
       "      <td>940.000000</td>\n",
       "      <td>940.000000</td>\n",
       "      <td>940.000000</td>\n",
       "      <td>940.000000</td>\n",
       "      <td>940.000000</td>\n",
       "      <td>940.000000</td>\n",
       "      <td>940.000000</td>\n",
       "      <td>940.000000</td>\n",
       "      <td>940.000000</td>\n",
       "      <td>940.000000</td>\n",
       "      <td>940.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.855407e+09</td>\n",
       "      <td>7637.910638</td>\n",
       "      <td>5.489702</td>\n",
       "      <td>5.475351</td>\n",
       "      <td>0.108171</td>\n",
       "      <td>1.502681</td>\n",
       "      <td>0.567543</td>\n",
       "      <td>3.340819</td>\n",
       "      <td>0.001606</td>\n",
       "      <td>21.164894</td>\n",
       "      <td>13.564894</td>\n",
       "      <td>192.812766</td>\n",
       "      <td>991.210638</td>\n",
       "      <td>2303.609574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.424805e+09</td>\n",
       "      <td>5087.150742</td>\n",
       "      <td>3.924606</td>\n",
       "      <td>3.907276</td>\n",
       "      <td>0.619897</td>\n",
       "      <td>2.658941</td>\n",
       "      <td>0.883580</td>\n",
       "      <td>2.040655</td>\n",
       "      <td>0.007346</td>\n",
       "      <td>32.844803</td>\n",
       "      <td>19.987404</td>\n",
       "      <td>109.174700</td>\n",
       "      <td>301.267437</td>\n",
       "      <td>718.166862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.503960e+09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.320127e+09</td>\n",
       "      <td>3789.750000</td>\n",
       "      <td>2.620000</td>\n",
       "      <td>2.620000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.945000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>127.000000</td>\n",
       "      <td>729.750000</td>\n",
       "      <td>1828.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.445115e+09</td>\n",
       "      <td>7405.500000</td>\n",
       "      <td>5.245000</td>\n",
       "      <td>5.245000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.210000</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>3.365000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>199.000000</td>\n",
       "      <td>1057.500000</td>\n",
       "      <td>2134.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.962181e+09</td>\n",
       "      <td>10727.000000</td>\n",
       "      <td>7.712500</td>\n",
       "      <td>7.710000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.052500</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>4.782500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>264.000000</td>\n",
       "      <td>1229.500000</td>\n",
       "      <td>2793.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.877689e+09</td>\n",
       "      <td>36019.000000</td>\n",
       "      <td>28.030001</td>\n",
       "      <td>28.030001</td>\n",
       "      <td>4.942142</td>\n",
       "      <td>21.920000</td>\n",
       "      <td>6.480000</td>\n",
       "      <td>10.710000</td>\n",
       "      <td>0.110000</td>\n",
       "      <td>210.000000</td>\n",
       "      <td>143.000000</td>\n",
       "      <td>518.000000</td>\n",
       "      <td>1440.000000</td>\n",
       "      <td>4900.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Id    TotalSteps  TotalDistance  TrackerDistance  \\\n",
       "count  9.400000e+02    940.000000     940.000000       940.000000   \n",
       "mean   4.855407e+09   7637.910638       5.489702         5.475351   \n",
       "std    2.424805e+09   5087.150742       3.924606         3.907276   \n",
       "min    1.503960e+09      0.000000       0.000000         0.000000   \n",
       "25%    2.320127e+09   3789.750000       2.620000         2.620000   \n",
       "50%    4.445115e+09   7405.500000       5.245000         5.245000   \n",
       "75%    6.962181e+09  10727.000000       7.712500         7.710000   \n",
       "max    8.877689e+09  36019.000000      28.030001        28.030001   \n",
       "\n",
       "       LoggedActivitiesDistance  VeryActiveDistance  ModeratelyActiveDistance  \\\n",
       "count                940.000000          940.000000                940.000000   \n",
       "mean                   0.108171            1.502681                  0.567543   \n",
       "std                    0.619897            2.658941                  0.883580   \n",
       "min                    0.000000            0.000000                  0.000000   \n",
       "25%                    0.000000            0.000000                  0.000000   \n",
       "50%                    0.000000            0.210000                  0.240000   \n",
       "75%                    0.000000            2.052500                  0.800000   \n",
       "max                    4.942142           21.920000                  6.480000   \n",
       "\n",
       "       LightActiveDistance  SedentaryActiveDistance  VeryActiveMinutes  \\\n",
       "count           940.000000               940.000000         940.000000   \n",
       "mean              3.340819                 0.001606          21.164894   \n",
       "std               2.040655                 0.007346          32.844803   \n",
       "min               0.000000                 0.000000           0.000000   \n",
       "25%               1.945000                 0.000000           0.000000   \n",
       "50%               3.365000                 0.000000           4.000000   \n",
       "75%               4.782500                 0.000000          32.000000   \n",
       "max              10.710000                 0.110000         210.000000   \n",
       "\n",
       "       FairlyActiveMinutes  LightlyActiveMinutes  SedentaryMinutes  \\\n",
       "count           940.000000            940.000000        940.000000   \n",
       "mean             13.564894            192.812766        991.210638   \n",
       "std              19.987404            109.174700        301.267437   \n",
       "min               0.000000              0.000000          0.000000   \n",
       "25%               0.000000            127.000000        729.750000   \n",
       "50%               6.000000            199.000000       1057.500000   \n",
       "75%              19.000000            264.000000       1229.500000   \n",
       "max             143.000000            518.000000       1440.000000   \n",
       "\n",
       "          Calories  \n",
       "count   940.000000  \n",
       "mean   2303.609574  \n",
       "std     718.166862  \n",
       "min       0.000000  \n",
       "25%    1828.500000  \n",
       "50%    2134.000000  \n",
       "75%    2793.250000  \n",
       "max    4900.000000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tracker.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "842935b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id                          0\n",
       "ActivityDate                0\n",
       "ActivityDay                 0\n",
       "TotalSteps                  0\n",
       "TotalDistance               0\n",
       "TrackerDistance             0\n",
       "LoggedActivitiesDistance    0\n",
       "VeryActiveDistance          0\n",
       "ModeratelyActiveDistance    0\n",
       "LightActiveDistance         0\n",
       "SedentaryActiveDistance     0\n",
       "VeryActiveMinutes           0\n",
       "FairlyActiveMinutes         0\n",
       "LightlyActiveMinutes        0\n",
       "SedentaryMinutes            0\n",
       "Calories                    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tracker.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca43f9c1",
   "metadata": {},
   "source": [
    "Days and dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a3f7c689",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ActivityDate\n",
       "4/12/2016    33\n",
       "4/13/2016    33\n",
       "4/14/2016    33\n",
       "4/15/2016    33\n",
       "4/16/2016    32\n",
       "4/17/2016    32\n",
       "4/18/2016    32\n",
       "4/19/2016    32\n",
       "4/20/2016    32\n",
       "4/21/2016    32\n",
       "4/22/2016    32\n",
       "4/23/2016    32\n",
       "4/24/2016    32\n",
       "4/25/2016    32\n",
       "4/26/2016    32\n",
       "4/27/2016    32\n",
       "4/28/2016    32\n",
       "4/29/2016    32\n",
       "4/30/2016    31\n",
       "5/1/2016     30\n",
       "5/10/2016    26\n",
       "5/11/2016    24\n",
       "5/12/2016    21\n",
       "5/2/2016     29\n",
       "5/3/2016     29\n",
       "5/4/2016     29\n",
       "5/5/2016     29\n",
       "5/6/2016     29\n",
       "5/7/2016     29\n",
       "5/8/2016     27\n",
       "5/9/2016     27\n",
       "Name: Id, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tracker.groupby('ActivityDate').count()['Id']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "eafa0524",
   "metadata": {},
   "outputs": [],
   "source": [
    "tracker['ActivityDate'] = pd.to_datetime(tracker['ActivityDate']).dt.date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "b3d59725",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Id\n",
       "1503960366   30 days\n",
       "1624580081   30 days\n",
       "1644430081   29 days\n",
       "1844505072   30 days\n",
       "1927972279   30 days\n",
       "2022484408   30 days\n",
       "2026352035   30 days\n",
       "2320127002   30 days\n",
       "2347167796   17 days\n",
       "2873212765   30 days\n",
       "3372868164   19 days\n",
       "3977333714   29 days\n",
       "4020332650   30 days\n",
       "4057192912    3 days\n",
       "4319703577   30 days\n",
       "4388161847   30 days\n",
       "4445114986   30 days\n",
       "4558609924   30 days\n",
       "4702921684   30 days\n",
       "5553957443   30 days\n",
       "5577150313   29 days\n",
       "6117666160   27 days\n",
       "6290855005   28 days\n",
       "6775888955   25 days\n",
       "6962181067   30 days\n",
       "7007744171   25 days\n",
       "7086361926   30 days\n",
       "8053475328   30 days\n",
       "8253242879   18 days\n",
       "8378563200   30 days\n",
       "8583815059   30 days\n",
       "8792009665   28 days\n",
       "8877689391   30 days\n",
       "dtype: timedelta64[ns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#To see how many days each individual was active in the given period\n",
    "duration = tracker.groupby('Id').apply(lambda x: x.ActivityDate.max() - x.ActivityDate.min())\n",
    "duration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2bd28b03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Id',\n",
       " 'TotalSteps',\n",
       " 'TotalDistance',\n",
       " 'TrackerDistance',\n",
       " 'LoggedActivitiesDistance',\n",
       " 'VeryActiveDistance',\n",
       " 'ModeratelyActiveDistance',\n",
       " 'LightActiveDistance',\n",
       " 'SedentaryActiveDistance',\n",
       " 'VeryActiveMinutes',\n",
       " 'FairlyActiveMinutes',\n",
       " 'LightlyActiveMinutes',\n",
       " 'SedentaryMinutes',\n",
       " 'Calories']"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "numeric_cols =  [value for value in tracker.columns if (tracker[value].values.dtype == 'int64') | (tracker[value].values.dtype == 'float')]\n",
    "numeric_cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6f47a704",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ActivityDay', ylabel='count'>"
      ]
     },
     "execution_count": 14,
     "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='ActivityDay', data=tracker, palette='Set1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e0d804c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ActivityDay', ylabel='TotalSteps'>"
      ]
     },
     "execution_count": 15,
     "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.barplot(x='ActivityDay', y='TotalSteps', data=tracker)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d1c3792b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.countplot(x='ActivityDate', data=tracker, palette='light:b')\n",
    "plt.xticks(rotation=90)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "292add7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": true
       },
       "data": [
        {
         "histfunc": "count",
         "histnorm": "",
         "marker": {
          "color": "rgba(255, 153, 51, 1.0)",
          "line": {
           "color": "#4D5663",
           "width": 1.3
          }
         },
         "name": "ActivityDate",
         "opacity": 0.8,
         "orientation": "v",
         "type": "histogram",
         "x": [
          "2016-04-12",
          "2016-04-13",
          "2016-04-14",
          "2016-04-15",
          "2016-04-16",
          "2016-04-17",
          "2016-04-18",
          "2016-04-19",
          "2016-04-20",
          "2016-04-21",
          "2016-04-22",
          "2016-04-23",
          "2016-04-24",
          "2016-04-25",
          "2016-04-26",
          "2016-04-27",
          "2016-04-28",
          "2016-04-29",
          "2016-04-30",
          "2016-05-01",
          "2016-05-02",
          "2016-05-03",
          "2016-05-04",
          "2016-05-05",
          "2016-05-06",
          "2016-05-07",
          "2016-05-08",
          "2016-05-09",
          "2016-05-10",
          "2016-05-11",
          "2016-05-12",
          "2016-04-12",
          "2016-04-13",
          "2016-04-14",
          "2016-04-15",
          "2016-04-16",
          "2016-04-17",
          "2016-04-18",
          "2016-04-19",
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          "2016-04-21",
          "2016-04-22",
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          "2016-05-07",
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          "2016-05-09",
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          "2016-05-12",
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          "2016-04-14",
          "2016-04-15",
          "2016-04-16",
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   "source": [
    "tracker['ActivityDate'].iplot(kind='hist')"
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  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "af1a9b99",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ActivityDay', ylabel='Calories'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
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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='ActivityDay', y='Calories', data=tracker)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "0a6ed28f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = tracker.pivot_table(values='Calories', index='Id', columns='ActivityDay')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "326e1e9e",
   "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>ActivityDay</th>\n",
       "      <th>Fri</th>\n",
       "      <th>Mon</th>\n",
       "      <th>Sat</th>\n",
       "      <th>Sun</th>\n",
       "      <th>Thu</th>\n",
       "      <th>Tue</th>\n",
       "      <th>Wed</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ActivityDay</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>Fri</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.917491</td>\n",
       "      <td>0.819456</td>\n",
       "      <td>0.873223</td>\n",
       "      <td>0.914913</td>\n",
       "      <td>0.886351</td>\n",
       "      <td>0.887824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mon</th>\n",
       "      <td>0.917491</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.743026</td>\n",
       "      <td>0.843192</td>\n",
       "      <td>0.859099</td>\n",
       "      <td>0.941663</td>\n",
       "      <td>0.921067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sat</th>\n",
       "      <td>0.819456</td>\n",
       "      <td>0.743026</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.849745</td>\n",
       "      <td>0.773781</td>\n",
       "      <td>0.773385</td>\n",
       "      <td>0.802773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sun</th>\n",
       "      <td>0.873223</td>\n",
       "      <td>0.843192</td>\n",
       "      <td>0.849745</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.894070</td>\n",
       "      <td>0.836095</td>\n",
       "      <td>0.822712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thu</th>\n",
       "      <td>0.914913</td>\n",
       "      <td>0.859099</td>\n",
       "      <td>0.773781</td>\n",
       "      <td>0.894070</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.864629</td>\n",
       "      <td>0.825431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tue</th>\n",
       "      <td>0.886351</td>\n",
       "      <td>0.941663</td>\n",
       "      <td>0.773385</td>\n",
       "      <td>0.836095</td>\n",
       "      <td>0.864629</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.858472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wed</th>\n",
       "      <td>0.887824</td>\n",
       "      <td>0.921067</td>\n",
       "      <td>0.802773</td>\n",
       "      <td>0.822712</td>\n",
       "      <td>0.825431</td>\n",
       "      <td>0.858472</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "ActivityDay       Fri       Mon       Sat       Sun       Thu       Tue  \\\n",
       "ActivityDay                                                               \n",
       "Fri          1.000000  0.917491  0.819456  0.873223  0.914913  0.886351   \n",
       "Mon          0.917491  1.000000  0.743026  0.843192  0.859099  0.941663   \n",
       "Sat          0.819456  0.743026  1.000000  0.849745  0.773781  0.773385   \n",
       "Sun          0.873223  0.843192  0.849745  1.000000  0.894070  0.836095   \n",
       "Thu          0.914913  0.859099  0.773781  0.894070  1.000000  0.864629   \n",
       "Tue          0.886351  0.941663  0.773385  0.836095  0.864629  1.000000   \n",
       "Wed          0.887824  0.921067  0.802773  0.822712  0.825431  0.858472   \n",
       "\n",
       "ActivityDay       Wed  \n",
       "ActivityDay            \n",
       "Fri          0.887824  \n",
       "Mon          0.921067  \n",
       "Sat          0.802773  \n",
       "Sun          0.822712  \n",
       "Thu          0.825431  \n",
       "Tue          0.858472  \n",
       "Wed          1.000000  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "correlation = df.corr()\n",
    "correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "eb2a3b8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ActivityDay', ylabel='ActivityDay'>"
      ]
     },
     "execution_count": 35,
     "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(correlation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5cbfc5a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.barplot(x='ActivityDate', y='TotalSteps', data=tracker, palette='dark:salmon_r')\n",
    "plt.xticks(rotation=90)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5a308aad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.barplot(x='ActivityDate', y='TotalDistance', data=tracker, palette='dark:salmon_r', ci=None)\n",
    "plt.xticks(rotation=90)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "cc77d68b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Calories', ylabel='TotalDistance'>"
      ]
     },
     "execution_count": 22,
     "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": [
    "# Exploring the relationship between burnt calories and the total distance and then total steps taken\n",
    "sns.scatterplot(x='Calories', y='TotalDistance', data=tracker)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2ac9f8d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Calories', ylabel='TotalSteps'>"
      ]
     },
     "execution_count": 23,
     "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.regplot(x='Calories', y='TotalSteps', data=tracker)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce61fc35",
   "metadata": {},
   "source": [
    "Active minutes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ffba5ff6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x19b855c7610>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Trying to explore the relationship between burnt calories and the most intense active minutes\n",
    "sns.relplot(x=\"VeryActiveMinutes\", y=\"Calories\", kind=\"line\", data=tracker)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "96f4d835",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x864 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.PairGrid(tracker, x_vars='Calories', y_vars=['VeryActiveMinutes', 'FairlyActiveMinutes','LightlyActiveMinutes'], height=4)    \n",
    "g = g.map(plt.scatter, s=30, edgecolor='black')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "8be026e2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 216x648 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Checking the association between calories burnt and the tensity (and duration) of active mivutes\n",
    "g = sns.PairGrid(tracker, x_vars='Calories', y_vars=['VeryActiveMinutes', 'FairlyActiveMinutes','LightlyActiveMinutes'], height=3)    \n",
    "g = g.map(sns.regplot)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "de14e1ae",
   "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>Calories</th>\n",
       "      <th>VeryActiveMinutes</th>\n",
       "      <th>FairlyActiveMinutes</th>\n",
       "      <th>LightlyActiveMinutes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Calories</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.615838</td>\n",
       "      <td>0.297623</td>\n",
       "      <td>0.286718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VeryActiveMinutes</th>\n",
       "      <td>0.615838</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.312420</td>\n",
       "      <td>0.051926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FairlyActiveMinutes</th>\n",
       "      <td>0.297623</td>\n",
       "      <td>0.312420</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.148820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LightlyActiveMinutes</th>\n",
       "      <td>0.286718</td>\n",
       "      <td>0.051926</td>\n",
       "      <td>0.148820</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Calories  VeryActiveMinutes  FairlyActiveMinutes  \\\n",
       "Calories              1.000000           0.615838             0.297623   \n",
       "VeryActiveMinutes     0.615838           1.000000             0.312420   \n",
       "FairlyActiveMinutes   0.297623           0.312420             1.000000   \n",
       "LightlyActiveMinutes  0.286718           0.051926             0.148820   \n",
       "\n",
       "                      LightlyActiveMinutes  \n",
       "Calories                          0.286718  \n",
       "VeryActiveMinutes                 0.051926  \n",
       "FairlyActiveMinutes               0.148820  \n",
       "LightlyActiveMinutes              1.000000  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matrix = tracker.corr()[['Calories', 'VeryActiveMinutes', 'FairlyActiveMinutes', 'LightlyActiveMinutes']].loc[['Calories', 'VeryActiveMinutes', 'FairlyActiveMinutes', 'LightlyActiveMinutes']]\n",
    "matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "8b09b81b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 26,
     "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": [
    "# Heat map of calroies against different intensity of active minutes spent\n",
    "sns.heatmap(matrix, cmap='coolwarm')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "1f26d5c4",
   "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": [
    "sns.barplot(x='ActivityDay', y='FairlyActiveMinutes', data=tracker, ci=None)\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "8584817f",
   "metadata": {},
   "outputs": [],
   "source": [
    "corr = tracker.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "c0bcde1e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 32,
     "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)"
   ]
  }
 ],
 "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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}