Linear_Regression.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Import Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import warnings\n",
    "import datetime\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>instant</th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>casual</th>\n",
       "      <th>registered</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>01-01-2018</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>14.110847</td>\n",
       "      <td>18.18125</td>\n",
       "      <td>80.5833</td>\n",
       "      <td>10.749882</td>\n",
       "      <td>331</td>\n",
       "      <td>654</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>02-01-2018</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>14.902598</td>\n",
       "      <td>17.68695</td>\n",
       "      <td>69.6087</td>\n",
       "      <td>16.652113</td>\n",
       "      <td>131</td>\n",
       "      <td>670</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>03-01-2018</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8.050924</td>\n",
       "      <td>9.47025</td>\n",
       "      <td>43.7273</td>\n",
       "      <td>16.636703</td>\n",
       "      <td>120</td>\n",
       "      <td>1229</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>04-01-2018</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>10.60610</td>\n",
       "      <td>59.0435</td>\n",
       "      <td>10.739832</td>\n",
       "      <td>108</td>\n",
       "      <td>1454</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>05-01-2018</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>9.305237</td>\n",
       "      <td>11.46350</td>\n",
       "      <td>43.6957</td>\n",
       "      <td>12.522300</td>\n",
       "      <td>82</td>\n",
       "      <td>1518</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   instant      dteday  season  yr  mnth  holiday  weekday  workingday  \\\n",
       "0        1  01-01-2018       1   0     1        0        6           0   \n",
       "1        2  02-01-2018       1   0     1        0        0           0   \n",
       "2        3  03-01-2018       1   0     1        0        1           1   \n",
       "3        4  04-01-2018       1   0     1        0        2           1   \n",
       "4        5  05-01-2018       1   0     1        0        3           1   \n",
       "\n",
       "   weathersit       temp     atemp      hum  windspeed  casual  registered  \\\n",
       "0           2  14.110847  18.18125  80.5833  10.749882     331         654   \n",
       "1           2  14.902598  17.68695  69.6087  16.652113     131         670   \n",
       "2           1   8.050924   9.47025  43.7273  16.636703     120        1229   \n",
       "3           1   8.200000  10.60610  59.0435  10.739832     108        1454   \n",
       "4           1   9.305237  11.46350  43.6957  12.522300      82        1518   \n",
       "\n",
       "    cnt  \n",
       "0   985  \n",
       "1   801  \n",
       "2  1349  \n",
       "3  1562  \n",
       "4  1600  "
      ]
     },
     "execution_count": 194,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('day.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Check For Null Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "instant       0\n",
       "dteday        0\n",
       "season        0\n",
       "yr            0\n",
       "mnth          0\n",
       "holiday       0\n",
       "weekday       0\n",
       "workingday    0\n",
       "weathersit    0\n",
       "temp          0\n",
       "atemp         0\n",
       "hum           0\n",
       "windspeed     0\n",
       "casual        0\n",
       "registered    0\n",
       "cnt           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are no null values."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Check and convert Data Type if Required"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 196,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 730 entries, 0 to 729\n",
      "Data columns (total 16 columns):\n",
      " #   Column      Non-Null Count  Dtype  \n",
      "---  ------      --------------  -----  \n",
      " 0   instant     730 non-null    int64  \n",
      " 1   dteday      730 non-null    object \n",
      " 2   season      730 non-null    int64  \n",
      " 3   yr          730 non-null    int64  \n",
      " 4   mnth        730 non-null    int64  \n",
      " 5   holiday     730 non-null    int64  \n",
      " 6   weekday     730 non-null    int64  \n",
      " 7   workingday  730 non-null    int64  \n",
      " 8   weathersit  730 non-null    int64  \n",
      " 9   temp        730 non-null    float64\n",
      " 10  atemp       730 non-null    float64\n",
      " 11  hum         730 non-null    float64\n",
      " 12  windspeed   730 non-null    float64\n",
      " 13  casual      730 non-null    int64  \n",
      " 14  registered  730 non-null    int64  \n",
      " 15  cnt         730 non-null    int64  \n",
      "dtypes: float64(4), int64(11), object(1)\n",
      "memory usage: 91.4+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count            730\n",
       "unique           730\n",
       "top       01-01-2018\n",
       "freq               1\n",
       "Name: dteday, dtype: object"
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['dteday'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Convert dteday to date time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 730 entries, 0 to 729\n",
      "Data columns (total 16 columns):\n",
      " #   Column      Non-Null Count  Dtype         \n",
      "---  ------      --------------  -----         \n",
      " 0   instant     730 non-null    int64         \n",
      " 1   dteday      730 non-null    datetime64[ns]\n",
      " 2   season      730 non-null    int64         \n",
      " 3   yr          730 non-null    int64         \n",
      " 4   mnth        730 non-null    int64         \n",
      " 5   holiday     730 non-null    int64         \n",
      " 6   weekday     730 non-null    int64         \n",
      " 7   workingday  730 non-null    int64         \n",
      " 8   weathersit  730 non-null    int64         \n",
      " 9   temp        730 non-null    float64       \n",
      " 10  atemp       730 non-null    float64       \n",
      " 11  hum         730 non-null    float64       \n",
      " 12  windspeed   730 non-null    float64       \n",
      " 13  casual      730 non-null    int64         \n",
      " 14  registered  730 non-null    int64         \n",
      " 15  cnt         730 non-null    int64         \n",
      "dtypes: datetime64[ns](1), float64(4), int64(11)\n",
      "memory usage: 91.4 KB\n"
     ]
    }
   ],
   "source": [
    "data['dteday'] = data['dteday'].apply(lambda x: datetime.datetime.strptime(x, '%d-%m-%Y'))\n",
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([6, 0, 1, 2, 3, 4, 5], dtype=int64)"
      ]
     },
     "execution_count": 199,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['weekday'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Convert weekday to categorical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       Sunday\n",
       "1       Monday\n",
       "2      Tuesday\n",
       "3    Wednesday\n",
       "4     Thursday\n",
       "Name: weekday, dtype: category\n",
       "Categories (7, object): ['Friday', 'Monday', 'Saturday', 'Sunday', 'Thursday', 'Tuesday', 'Wednesday']"
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.weekday = data.weekday.map({6: 'Sunday', 0: 'Monday', 1: 'Tuesday', 2: 'Wednesday', 3: 'Thursday', 4: 'Friday', 5: 'Saturday'})\n",
    "data.weekday = data.weekday.astype('category')\n",
    "data.weekday.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 4], dtype=int64)"
      ]
     },
     "execution_count": 201,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.season.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Convert season to categorical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "season\n",
       "autumn    188\n",
       "summer    184\n",
       "spring    180\n",
       "winter    178\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.season = data.season.map({1: 'spring', 2: 'summer', 3: 'autumn', 4: 'winter'})\n",
    "data.season = data.season.astype('category')\n",
    "data.season.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1], dtype=int64)"
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.workingday.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1], dtype=int64)"
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.holiday.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 1, 3], dtype=int64)"
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.weathersit.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    misty\n",
       "1    misty\n",
       "2    clear\n",
       "3    clear\n",
       "4    clear\n",
       "Name: weathersit, dtype: category\n",
       "Categories (3, object): ['clear', 'misty', 'rainy']"
      ]
     },
     "execution_count": 206,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.weathersit = data.weathersit.map({1: 'clear', 2: 'misty', 3: 'rainy'})\n",
    "data.weathersit = data.weathersit.astype('category')\n",
    "data.weathersit.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### - Drop Non Feature Columns "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dteday</th>\n",
       "      <th>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>0</td>\n",
       "      <td>misty</td>\n",
       "      <td>14.110847</td>\n",
       "      <td>18.18125</td>\n",
       "      <td>80.5833</td>\n",
       "      <td>10.749882</td>\n",
       "      <td>985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-01-02</td>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Monday</td>\n",
       "      <td>0</td>\n",
       "      <td>misty</td>\n",
       "      <td>14.902598</td>\n",
       "      <td>17.68695</td>\n",
       "      <td>69.6087</td>\n",
       "      <td>16.652113</td>\n",
       "      <td>801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-01-03</td>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>8.050924</td>\n",
       "      <td>9.47025</td>\n",
       "      <td>43.7273</td>\n",
       "      <td>16.636703</td>\n",
       "      <td>1349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-01-04</td>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>10.60610</td>\n",
       "      <td>59.0435</td>\n",
       "      <td>10.739832</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-01-05</td>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>9.305237</td>\n",
       "      <td>11.46350</td>\n",
       "      <td>43.6957</td>\n",
       "      <td>12.522300</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      dteday  season  yr  mnth  holiday    weekday  workingday weathersit  \\\n",
       "0 2018-01-01  spring   0     1        0     Sunday           0      misty   \n",
       "1 2018-01-02  spring   0     1        0     Monday           0      misty   \n",
       "2 2018-01-03  spring   0     1        0    Tuesday           1      clear   \n",
       "3 2018-01-04  spring   0     1        0  Wednesday           1      clear   \n",
       "4 2018-01-05  spring   0     1        0   Thursday           1      clear   \n",
       "\n",
       "        temp     atemp      hum  windspeed   cnt  \n",
       "0  14.110847  18.18125  80.5833  10.749882   985  \n",
       "1  14.902598  17.68695  69.6087  16.652113   801  \n",
       "2   8.050924   9.47025  43.7273  16.636703  1349  \n",
       "3   8.200000  10.60610  59.0435  10.739832  1562  \n",
       "4   9.305237  11.46350  43.6957  12.522300  1600  "
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(['casual','registered','instant'], axis=1, inplace=True)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 208,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dteday</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>cnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>730</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "      <td>730.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2018-12-31 12:00:00</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>6.526027</td>\n",
       "      <td>0.028767</td>\n",
       "      <td>0.683562</td>\n",
       "      <td>20.319259</td>\n",
       "      <td>23.726322</td>\n",
       "      <td>62.765175</td>\n",
       "      <td>12.763620</td>\n",
       "      <td>4508.006849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2018-01-01 00:00:00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.424346</td>\n",
       "      <td>3.953480</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.500244</td>\n",
       "      <td>22.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2018-07-02 06:00:00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>13.811885</td>\n",
       "      <td>16.889713</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>9.041650</td>\n",
       "      <td>3169.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2018-12-31 12:00:00</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>20.465826</td>\n",
       "      <td>24.368225</td>\n",
       "      <td>62.625000</td>\n",
       "      <td>12.125325</td>\n",
       "      <td>4548.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2019-07-01 18:00:00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>26.880615</td>\n",
       "      <td>30.445775</td>\n",
       "      <td>72.989575</td>\n",
       "      <td>15.625589</td>\n",
       "      <td>5966.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90%</th>\n",
       "      <td>2019-10-19 02:24:00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>29.998347</td>\n",
       "      <td>33.908210</td>\n",
       "      <td>81.762500</td>\n",
       "      <td>19.833997</td>\n",
       "      <td>7293.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95%</th>\n",
       "      <td>2019-11-24 13:12:00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>31.520460</td>\n",
       "      <td>35.749975</td>\n",
       "      <td>86.868735</td>\n",
       "      <td>22.999988</td>\n",
       "      <td>7576.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99%</th>\n",
       "      <td>2019-12-23 17:02:24</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>33.868050</td>\n",
       "      <td>38.941650</td>\n",
       "      <td>92.795857</td>\n",
       "      <td>27.380948</td>\n",
       "      <td>8163.810000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>2019-12-31 00:00:00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>35.328347</td>\n",
       "      <td>42.044800</td>\n",
       "      <td>97.250000</td>\n",
       "      <td>34.000021</td>\n",
       "      <td>8714.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.500343</td>\n",
       "      <td>3.450215</td>\n",
       "      <td>0.167266</td>\n",
       "      <td>0.465405</td>\n",
       "      <td>7.506729</td>\n",
       "      <td>8.150308</td>\n",
       "      <td>14.237589</td>\n",
       "      <td>5.195841</td>\n",
       "      <td>1936.011647</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    dteday          yr        mnth     holiday  workingday  \\\n",
       "count                  730  730.000000  730.000000  730.000000  730.000000   \n",
       "mean   2018-12-31 12:00:00    0.500000    6.526027    0.028767    0.683562   \n",
       "min    2018-01-01 00:00:00    0.000000    1.000000    0.000000    0.000000   \n",
       "25%    2018-07-02 06:00:00    0.000000    4.000000    0.000000    0.000000   \n",
       "50%    2018-12-31 12:00:00    0.500000    7.000000    0.000000    1.000000   \n",
       "75%    2019-07-01 18:00:00    1.000000   10.000000    0.000000    1.000000   \n",
       "90%    2019-10-19 02:24:00    1.000000   11.000000    0.000000    1.000000   \n",
       "95%    2019-11-24 13:12:00    1.000000   12.000000    0.000000    1.000000   \n",
       "99%    2019-12-23 17:02:24    1.000000   12.000000    1.000000    1.000000   \n",
       "max    2019-12-31 00:00:00    1.000000   12.000000    1.000000    1.000000   \n",
       "std                    NaN    0.500343    3.450215    0.167266    0.465405   \n",
       "\n",
       "             temp       atemp         hum   windspeed          cnt  \n",
       "count  730.000000  730.000000  730.000000  730.000000   730.000000  \n",
       "mean    20.319259   23.726322   62.765175   12.763620  4508.006849  \n",
       "min      2.424346    3.953480    0.000000    1.500244    22.000000  \n",
       "25%     13.811885   16.889713   52.000000    9.041650  3169.750000  \n",
       "50%     20.465826   24.368225   62.625000   12.125325  4548.500000  \n",
       "75%     26.880615   30.445775   72.989575   15.625589  5966.000000  \n",
       "90%     29.998347   33.908210   81.762500   19.833997  7293.800000  \n",
       "95%     31.520460   35.749975   86.868735   22.999988  7576.400000  \n",
       "99%     33.868050   38.941650   92.795857   27.380948  8163.810000  \n",
       "max     35.328347   42.044800   97.250000   34.000021  8714.000000  \n",
       "std      7.506729    8.150308   14.237589    5.195841  1936.011647  "
      ]
     },
     "execution_count": 208,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe(percentiles=[0.25,0.5,0.75,0.90,0.95,0.99])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No outliers can be seen except for holiday"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Derived Metrics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- As the date column is already partially represented by yr and mnth . We add day as another column and remove dteday altogether"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 209,
   "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>season</th>\n",
       "      <th>yr</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>cnt</th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>0</td>\n",
       "      <td>misty</td>\n",
       "      <td>14.110847</td>\n",
       "      <td>18.18125</td>\n",
       "      <td>80.5833</td>\n",
       "      <td>10.749882</td>\n",
       "      <td>985</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Monday</td>\n",
       "      <td>0</td>\n",
       "      <td>misty</td>\n",
       "      <td>14.902598</td>\n",
       "      <td>17.68695</td>\n",
       "      <td>69.6087</td>\n",
       "      <td>16.652113</td>\n",
       "      <td>801</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>8.050924</td>\n",
       "      <td>9.47025</td>\n",
       "      <td>43.7273</td>\n",
       "      <td>16.636703</td>\n",
       "      <td>1349</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>10.60610</td>\n",
       "      <td>59.0435</td>\n",
       "      <td>10.739832</td>\n",
       "      <td>1562</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>9.305237</td>\n",
       "      <td>11.46350</td>\n",
       "      <td>43.6957</td>\n",
       "      <td>12.522300</td>\n",
       "      <td>1600</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   season  yr  mnth  holiday    weekday  workingday weathersit       temp  \\\n",
       "0  spring   0     1        0     Sunday           0      misty  14.110847   \n",
       "1  spring   0     1        0     Monday           0      misty  14.902598   \n",
       "2  spring   0     1        0    Tuesday           1      clear   8.050924   \n",
       "3  spring   0     1        0  Wednesday           1      clear   8.200000   \n",
       "4  spring   0     1        0   Thursday           1      clear   9.305237   \n",
       "\n",
       "      atemp      hum  windspeed   cnt  day  \n",
       "0  18.18125  80.5833  10.749882   985    1  \n",
       "1  17.68695  69.6087  16.652113   801    2  \n",
       "2   9.47025  43.7273  16.636703  1349    3  \n",
       "3  10.60610  59.0435  10.739832  1562    4  \n",
       "4  11.46350  43.6957  12.522300  1600    5  "
      ]
     },
     "execution_count": 209,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['day']= data['dteday'].dt.day\n",
    "data.drop('dteday', axis=1, inplace=True)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Rename yr to yr_2019"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 210,
   "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>season</th>\n",
       "      <th>yr_2019</th>\n",
       "      <th>mnth</th>\n",
       "      <th>holiday</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
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       "      <th>windspeed</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>0</td>\n",
       "      <td>misty</td>\n",
       "      <td>14.110847</td>\n",
       "      <td>18.18125</td>\n",
       "      <td>80.5833</td>\n",
       "      <td>10.749882</td>\n",
       "      <td>985</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Monday</td>\n",
       "      <td>0</td>\n",
       "      <td>misty</td>\n",
       "      <td>14.902598</td>\n",
       "      <td>17.68695</td>\n",
       "      <td>69.6087</td>\n",
       "      <td>16.652113</td>\n",
       "      <td>801</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>8.050924</td>\n",
       "      <td>9.47025</td>\n",
       "      <td>43.7273</td>\n",
       "      <td>16.636703</td>\n",
       "      <td>1349</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>10.60610</td>\n",
       "      <td>59.0435</td>\n",
       "      <td>10.739832</td>\n",
       "      <td>1562</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>9.305237</td>\n",
       "      <td>11.46350</td>\n",
       "      <td>43.6957</td>\n",
       "      <td>12.522300</td>\n",
       "      <td>1600</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   season  yr_2019  mnth  holiday    weekday  workingday weathersit  \\\n",
       "0  spring        0     1        0     Sunday           0      misty   \n",
       "1  spring        0     1        0     Monday           0      misty   \n",
       "2  spring        0     1        0    Tuesday           1      clear   \n",
       "3  spring        0     1        0  Wednesday           1      clear   \n",
       "4  spring        0     1        0   Thursday           1      clear   \n",
       "\n",
       "        temp     atemp      hum  windspeed   cnt  day  \n",
       "0  14.110847  18.18125  80.5833  10.749882   985    1  \n",
       "1  14.902598  17.68695  69.6087  16.652113   801    2  \n",
       "2   8.050924   9.47025  43.7273  16.636703  1349    3  \n",
       "3   8.200000  10.60610  59.0435  10.739832  1562    4  \n",
       "4   9.305237  11.46350  43.6957  12.522300  1600    5  "
      ]
     },
     "execution_count": 210,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.rename(columns={'yr': 'yr_2019'}, inplace=True)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Univariate Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 211,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "sum = data['cnt'].groupby(data['season']).sum().sort_values(ascending=False)\n",
    "sum.plot(kind='bar', figsize=(10, 5))\n",
    "plt.xlabel('Season')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Count By Season')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can conslude that the most bike rentals happens in Autumn and the least in Spring"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "sum = data['cnt'].groupby(data['weekday']).sum().sort_values(ascending=False)\n",
    "sum.plot(kind='bar', figsize=(10, 5))\n",
    "plt.xlabel('Day of Week')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Count By Day of Week')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Total Count does not vary much with the day of week."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sum = data['cnt'].groupby(data['weathersit']).sum().sort_values(ascending=False)\n",
    "sum.plot(kind='bar', figsize=(10, 5))\n",
    "plt.xlabel('Weather Situation')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Count By Weather Situation')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can conclude that the Count is the highest when the weather is Clear i.e. Clear, Few clouds, Partly cloudy, Partly cloudy and neglegible when the day is rainy i.e. Light Snow, Light Rain + Thunderstorm + Scattered clouds, Light Rain + Scattered clouds."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 214,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sum = (data['cnt'].groupby(data['workingday']).sum()/data['workingday'].value_counts()).sort_values(ascending=False)\n",
    "sum.plot(kind='bar', figsize=(10, 5))\n",
    "plt.xlabel('Working Day')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Count By Working Day')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Not much difference in the average value count of bike rentals on working day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 215,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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jcd5553VZf+mll6Kqqiq2bdtWsAELzQXFADDwHMznd5/uc5PL5eLNN9/stt7W1hYdHR19eUoAgILoU9x8+ctfjtmzZ8dDDz0Ub7zxRrzxxhvx0EMPxZw5c+IrX/lKoWcEAOi1Pv0q+LJly2LBggXxta99LT744IO9TzRkSMyZMye+//3vF3RAAICDcUg38Xv33Xdj06ZNkc/n48wzz4xjjz22kLMdFq65AYCB54jdxO/YY4+N888//1CeAgCgoHodN1/5yldi5cqVUVpa+pHX1Tz88MOHPBgAQF/0Om7KysqiqKio888AAP1RQb44cyBxzQ0ADDyH/T43AAD9Va9PS11wwQWdp6U+ygsvvNDngQAADkWv42bGjBmHcQwAgMJwzQ0A0O8dsfvcNDQ0RFNTUxQVFcW5554bF1xwwaE8HQDAIetT3LS1tcVVV10Vjz/+eBx//PGRz+ejvb09LrroovjlL38ZJ510UqHnBADolT79ttQ3vvGNyOVy8fLLL8fbb78d//73v+Oll16KXC4Xc+fOLfSMAAC91qdrbsrKyuLRRx+Nz372s13Wn3vuuaiqqor//Oc/hZqv4FxzAwADz2G/z82ePXti6NCh3daHDh0ae/bs6ctTAgAURJ/i5uKLL45vfvObsW3bts61rVu3xvz58+OLX/xiwYYDADhYfYqbu+++Ozo6OuL000+PT3ziE3HmmWfG6aefHh0dHfHjH/+40DMCAPRan35bqqKiIl544YV49NFHo6mpKfL5fJx77rlxySWXFHo+AICD0ueb+D322GPx2GOPRVtbW7frbFasWFGQ4Q4HFxQDwMBz2G/id+edd8bixYtj4sSJMWrUqF5/5xQAwOHWp7hZtmxZrFy5Mq655ppCzwMAcEj6dEHxrl27YsqUKYWeBQDgkPUpbm644Yb4+c9/XuhZAAAOWa9PS9XU1HT+ec+ePXHvvffGo48+Gueff363G/rV1dUVbkIAgIPQ67hpbGzs8vNnPvOZiIh46aWXuqy7uBgAyFKv4+Yvf/nL4ZwDAKAg+nTNDQBAfyVuAICkZB43S5YsibFjx0ZJSUlUVlbG+vXre7Xf008/HUOGDOm89gcAICLjuFm9enXMmzcvFi1aFI2NjTF16tSYNm1aNDc3H3C/9vb2mDVrlm8gBwC66fN3SxXCpEmTYsKECbF06dLOtXHjxsWMGTOitrZ2v/tdddVVcdZZZ8XgwYPjd7/7XWzcuLHXr+m7pQBg4DmYz+/Mjtzs2rUrGhoaoqqqqst6VVVVbNiwYb/73X///bFp06a44447evU6O3fujFwu1+UBAKQrs7jZvn177N69O8rLy7usl5eXR2tra4/7/OMf/4hvfetbsWrVqhgypHe/xV5bWxtlZWWdj4qKikOeHQDovzK/oPh/b/qXz+d7vBHg7t274+qrr44777wzzj777F4//8KFC6O9vb3zsWXLlkOeGQDov/r0reCFMGLEiBg8eHC3ozRtbW3djuZERHR0dMTzzz8fjY2N8fWvfz0i9n4NRD6fjyFDhsQjjzwSF198cbf9iouLo7i4+PC8CQCg38nsyM2wYcOisrIy6uvru6zX19f3+I3jpaWl8be//S02btzY+aiuro5zzjknNm7cGJMmTTpSowMA/VhmR24i9n4Z5zXXXBMTJ06MyZMnx7333hvNzc1RXV0dEXtPKW3dujUefPDBGDRoUIwfP77L/ieffHKUlJR0WwcAjl6Zxs3MmTNjx44dsXjx4mhpaYnx48fH2rVrY8yYMRER0dLS8pH3vAEA+P9lep+bLLjPDQAMPAPiPjcAAIeDuAEAkiJuAICkiBsAICniBgBIirgBAJIibgCApIgbACAp4gYASIq4AQCSIm4AgKSIGwAgKeIGAEiKuAEAkiJuAICkiBsAICniBgBIirgBAJIibgCApIgbACAp4gYASIq4AQCSIm4AgKSIGwAgKeIGAEiKuAEAkiJuAICkiBsAICniBgBIirgBAJIibgCApIgbACAp4gYASIq4AQCSIm4AgKSIGwAgKeIGAEiKuAEAkiJuAICkiBsAICniBgBIirgBAJIibgCApIgbACAp4gYASIq4AQCSIm4AgKSIGwAgKeIGAEiKuAEAkiJuAICkiBsAICniBgBIirgBAJIibgCApIgbACApmcfNkiVLYuzYsVFSUhKVlZWxfv36/W778MMPx6WXXhonnXRSlJaWxuTJk+NPf/rTEZwWAOjvMo2b1atXx7x582LRokXR2NgYU6dOjWnTpkVzc3OP2z/55JNx6aWXxtq1a6OhoSEuuuiiuOKKK6KxsfEITw4A9FdF+Xw+n9WLT5o0KSZMmBBLly7tXBs3blzMmDEjamtre/Uc5513XsycOTNuv/32Xm2fy+WirKws2tvbo7S0tE9zAwBH1sF8fmd25GbXrl3R0NAQVVVVXdarqqpiw4YNvXqOPXv2REdHR5xwwgn73Wbnzp2Ry+W6PACAdGUWN9u3b4/du3dHeXl5l/Xy8vJobW3t1XP84Ac/iHfffTeuvPLK/W5TW1sbZWVlnY+KiopDmhsA6N8yv6C4qKioy8/5fL7bWk9+8YtfxHe+851YvXp1nHzyyfvdbuHChdHe3t752LJlyyHPDAD0X0OyeuERI0bE4MGDux2laWtr63Y053+tXr065syZE7/+9a/jkksuOeC2xcXFUVxcfMjzAgADQ2ZHboYNGxaVlZVRX1/fZb2+vj6mTJmy3/1+8YtfxHXXXRc///nP4/LLLz/cYwIAA0xmR24iImpqauKaa66JiRMnxuTJk+Pee++N5ubmqK6ujoi9p5S2bt0aDz74YETsDZtZs2bFj370o/j85z/fedRn+PDhUVZWltn7AAD6j0zjZubMmbFjx45YvHhxtLS0xPjx42Pt2rUxZsyYiIhoaWnpcs+be+65Jz788MO4+eab4+abb+5cv/baa2PlypVHenwAoB/K9D43WXCfGwAYeAbEfW4AAA4HcQMAJEXcAABJETcAQFLEDQCQFHEDACRF3AAASRE3AEBSxA0AkBRxAwAkRdwAAEkRNwBAUsQNAJAUcQMAJEXcAABJETcAQFLEDQCQFHEDACRF3AAASRE3AEBSxA0AkBRxAwAkRdwAAEkRNwBAUsQNAJAUcQMAJEXcAABJETcAQFLEDQCQFHEDACRF3AAASRE3AEBSxA0AkBRxAwAkRdwAAEkRNwBAUsQNAJAUcQMAJEXcAABJETcAQFLEDQCQFHEDACRF3AAASRE3AEBSxA0AkBRxAwAkRdwAAEkRNwBAUsQNAJAUcQMAJEXcAABJETcAQFLEDQCQFHEDACRF3AAASRE3AEBSMo+bJUuWxNixY6OkpCQqKytj/fr1B9z+iSeeiMrKyigpKYkzzjgjli1bdoQmBQAGgkzjZvXq1TFv3rxYtGhRNDY2xtSpU2PatGnR3Nzc4/abN2+O6dOnx9SpU6OxsTG+/e1vx9y5c+M3v/nNEZ4cAOivivL5fD6rF580aVJMmDAhli5d2rk2bty4mDFjRtTW1nbb/rbbbos1a9ZEU1NT51p1dXW8+OKL8cwzz/TqNXO5XJSVlUV7e3uUlpYe+pvIQD6fj/fffz/ef//9rEc56u3ZsydyuVzWY0C/VlpaGoMGZX6i4KhXUlISJSUlUVRUlPUofXIwn99DjtBM3ezatSsaGhriW9/6Vpf1qqqq2LBhQ4/7PPPMM1FVVdVl7bLLLovly5fHBx98EEOHDu22z86dO2Pnzp2dP6fwQfT+++/HtGnTsh4DgAHmj3/8YwwfPjzrMQ67zFJ6+/btsXv37igvL++yXl5eHq2trT3u09ra2uP2H374YWzfvr3HfWpra6OsrKzzUVFRUZg3AAD0S5kdudnnfw+P5fP5Ax4y62n7ntb3WbhwYdTU1HT+nMvlBnzglJSUxB//+EenpfoBp6Xgozkt1T/sOy11NMgsbkaMGBGDBw/udpSmra2t29GZfUaOHNnj9kOGDIkTTzyxx32Ki4ujuLi4MEP3E0VFRTF8+PCj4tDiQLC/f/cAyEZmKT1s2LCorKyM+vr6Luv19fUxZcqUHveZPHlyt+0feeSRmDhxYo/X2wAAR59MjxPW1NTEfffdFytWrIimpqaYP39+NDc3R3V1dUTsPaU0a9aszu2rq6vjX//6V9TU1ERTU1OsWLEili9fHgsWLMjqLQAA/Uym19zMnDkzduzYEYsXL46WlpYYP358rF27NsaMGRMRES0tLV3ueTN27NhYu3ZtzJ8/P37605/G6NGj48c//nF89atfzeotAAD9TKb3uclCCve5AYCjzcF8frt8HQBIirgBAJIibgCApIgbACAp4gYASIq4AQCSIm4AgKSIGwAgKeIGAEhKpl+/kIV9N2TO5XIZTwIA9Na+z+3efLHCURc3HR0dERFRUVGR8SQAwMHq6OiIsrKyA25z1H231J49e2Lbtm1x3HHHRVFRUdbjAAWUy+WioqIitmzZ4rvjIDH5fD46Ojpi9OjRMWjQga+qOeriBkiXL8YFIlxQDAAkRtwAAEkRN0AyiouL44477oji4uKsRwEy5JobACApjtwAAEkRNwBAUsQNAJAUcQMAJEXcAABJETcAQFLEDQCQFHEDACTl/wGkedKPNXLuAAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "count    730.000000\n",
       "mean       0.028767\n",
       "std        0.167266\n",
       "min        0.000000\n",
       "25%        0.000000\n",
       "50%        0.000000\n",
       "75%        0.000000\n",
       "max        1.000000\n",
       "Name: holiday, dtype: float64"
      ]
     },
     "execution_count": 215,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.boxplot(y=\"holiday\", data=data)\n",
    "plt.show()\n",
    "data.holiday.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The holiday column is mostly zero so not much can be inferred , lets check if there is an increase in bike rentals during holidays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 216,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sum = (data['cnt'].groupby(data['holiday']).sum()/data['holiday'].value_counts()).sort_values(ascending=False)\n",
    "sum.plot(kind='bar', figsize=(10, 5))\n",
    "plt.xlabel('Holiday')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Count By Holiday')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is not much difference between the avg of cnt with respect to holiday , so it should be safe to drop holiday "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 217,
   "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>season</th>\n",
       "      <th>yr_2019</th>\n",
       "      <th>mnth</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>cnt</th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>0</td>\n",
       "      <td>misty</td>\n",
       "      <td>14.110847</td>\n",
       "      <td>18.18125</td>\n",
       "      <td>80.5833</td>\n",
       "      <td>10.749882</td>\n",
       "      <td>985</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Monday</td>\n",
       "      <td>0</td>\n",
       "      <td>misty</td>\n",
       "      <td>14.902598</td>\n",
       "      <td>17.68695</td>\n",
       "      <td>69.6087</td>\n",
       "      <td>16.652113</td>\n",
       "      <td>801</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>8.050924</td>\n",
       "      <td>9.47025</td>\n",
       "      <td>43.7273</td>\n",
       "      <td>16.636703</td>\n",
       "      <td>1349</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>10.60610</td>\n",
       "      <td>59.0435</td>\n",
       "      <td>10.739832</td>\n",
       "      <td>1562</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>9.305237</td>\n",
       "      <td>11.46350</td>\n",
       "      <td>43.6957</td>\n",
       "      <td>12.522300</td>\n",
       "      <td>1600</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   season  yr_2019  mnth    weekday  workingday weathersit       temp  \\\n",
       "0  spring        0     1     Sunday           0      misty  14.110847   \n",
       "1  spring        0     1     Monday           0      misty  14.902598   \n",
       "2  spring        0     1    Tuesday           1      clear   8.050924   \n",
       "3  spring        0     1  Wednesday           1      clear   8.200000   \n",
       "4  spring        0     1   Thursday           1      clear   9.305237   \n",
       "\n",
       "      atemp      hum  windspeed   cnt  day  \n",
       "0  18.18125  80.5833  10.749882   985    1  \n",
       "1  17.68695  69.6087  16.652113   801    2  \n",
       "2   9.47025  43.7273  16.636703  1349    3  \n",
       "3  10.60610  59.0435  10.739832  1562    4  \n",
       "4  11.46350  43.6957  12.522300  1600    5  "
      ]
     },
     "execution_count": 217,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop('holiday', axis=1, inplace=True)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Bivariate Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 218,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "\n",
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       "        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>season</th>\n",
       "      <th>yr_2019</th>\n",
       "      <th>mnth</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>cnt</th>\n",
       "      <th>day</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>0</td>\n",
       "      <td>misty</td>\n",
       "      <td>14.110847</td>\n",
       "      <td>18.18125</td>\n",
       "      <td>80.5833</td>\n",
       "      <td>10.749882</td>\n",
       "      <td>985</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Monday</td>\n",
       "      <td>0</td>\n",
       "      <td>misty</td>\n",
       "      <td>14.902598</td>\n",
       "      <td>17.68695</td>\n",
       "      <td>69.6087</td>\n",
       "      <td>16.652113</td>\n",
       "      <td>801</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>8.050924</td>\n",
       "      <td>9.47025</td>\n",
       "      <td>43.7273</td>\n",
       "      <td>16.636703</td>\n",
       "      <td>1349</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>10.60610</td>\n",
       "      <td>59.0435</td>\n",
       "      <td>10.739832</td>\n",
       "      <td>1562</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>9.305237</td>\n",
       "      <td>11.46350</td>\n",
       "      <td>43.6957</td>\n",
       "      <td>12.522300</td>\n",
       "      <td>1600</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   season  yr_2019  mnth    weekday  workingday weathersit       temp  \\\n",
       "0  spring        0     1     Sunday           0      misty  14.110847   \n",
       "1  spring        0     1     Monday           0      misty  14.902598   \n",
       "2  spring        0     1    Tuesday           1      clear   8.050924   \n",
       "3  spring        0     1  Wednesday           1      clear   8.200000   \n",
       "4  spring        0     1   Thursday           1      clear   9.305237   \n",
       "\n",
       "      atemp      hum  windspeed   cnt  day  \n",
       "0  18.18125  80.5833  10.749882   985    1  \n",
       "1  17.68695  69.6087  16.652113   801    2  \n",
       "2   9.47025  43.7273  16.636703  1349    3  \n",
       "3  10.60610  59.0435  10.739832  1562    4  \n",
       "4  11.46350  43.6957  12.522300  1600    5  "
      ]
     },
     "execution_count": 218,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 219,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mnth\n",
       "1     58.582827\n",
       "2     56.322686\n",
       "3     58.847503\n",
       "4     58.806312\n",
       "5     68.895831\n",
       "6     57.580552\n",
       "7     59.787632\n",
       "8     63.773010\n",
       "9     71.471437\n",
       "10    69.376087\n",
       "11    62.487648\n",
       "12    66.604052\n",
       "Name: hum, dtype: float64"
      ]
     },
     "execution_count": 219,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby([\"mnth\"])['hum'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "9th Month is the most humid and 6th the least"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "mnth\n",
       "1      9.694201\n",
       "2     12.235249\n",
       "3     16.012089\n",
       "4     19.269952\n",
       "5     24.386735\n",
       "6     28.047985\n",
       "7     30.974287\n",
       "8     29.051844\n",
       "9     25.275884\n",
       "10    19.885500\n",
       "11    15.138010\n",
       "12    13.285270\n",
       "Name: temp, dtype: float64"
      ]
     },
     "execution_count": 220,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby([\"mnth\"])['temp'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The mean tempetrature is least in the 1st month abd most in the 7th"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "season\n",
       "autumn    63.348206\n",
       "spring    58.167024\n",
       "summer    62.694833\n",
       "winter    66.871917\n",
       "Name: hum, dtype: float64"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.groupby([\"season\"])['hum'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is not much change in the humidity for different seasons"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. Creating Dummy Variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 222,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>weekday_Monday</th>\n",
       "      <th>weekday_Saturday</th>\n",
       "      <th>weekday_Sunday</th>\n",
       "      <th>weekday_Thursday</th>\n",
       "      <th>weekday_Tuesday</th>\n",
       "      <th>weekday_Wednesday</th>\n",
       "      <th>weathersit_misty</th>\n",
       "      <th>weathersit_rainy</th>\n",
       "      <th>season_spring</th>\n",
       "      <th>season_summer</th>\n",
       "      <th>season_winter</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
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       "      <td>0</td>\n",
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       "      <th>2</th>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <th>4</th>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>725</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>726</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>727</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>728</th>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>729</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>730 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     weekday_Monday  weekday_Saturday  weekday_Sunday  weekday_Thursday  \\\n",
       "0                 0                 0               1                 0   \n",
       "1                 1                 0               0                 0   \n",
       "2                 0                 0               0                 0   \n",
       "3                 0                 0               0                 0   \n",
       "4                 0                 0               0                 1   \n",
       "..              ...               ...             ...               ...   \n",
       "725               0                 0               0                 0   \n",
       "726               0                 1               0                 0   \n",
       "727               0                 0               1                 0   \n",
       "728               1                 0               0                 0   \n",
       "729               0                 0               0                 0   \n",
       "\n",
       "     weekday_Tuesday  weekday_Wednesday  weathersit_misty  weathersit_rainy  \\\n",
       "0                  0                  0                 1                 0   \n",
       "1                  0                  0                 1                 0   \n",
       "2                  1                  0                 0                 0   \n",
       "3                  0                  1                 0                 0   \n",
       "4                  0                  0                 0                 0   \n",
       "..               ...                ...               ...               ...   \n",
       "725                0                  0                 1                 0   \n",
       "726                0                  0                 1                 0   \n",
       "727                0                  0                 1                 0   \n",
       "728                0                  0                 0                 0   \n",
       "729                1                  0                 1                 0   \n",
       "\n",
       "     season_spring  season_summer  season_winter  \n",
       "0                1              0              0  \n",
       "1                1              0              0  \n",
       "2                1              0              0  \n",
       "3                1              0              0  \n",
       "4                1              0              0  \n",
       "..             ...            ...            ...  \n",
       "725              1              0              0  \n",
       "726              1              0              0  \n",
       "727              1              0              0  \n",
       "728              1              0              0  \n",
       "729              1              0              0  \n",
       "\n",
       "[730 rows x 11 columns]"
      ]
     },
     "execution_count": 222,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dummies = pd.get_dummies(data[['weekday','weathersit','season']], drop_first=True, dtype=int)\n",
    "dummies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>season</th>\n",
       "      <th>yr_2019</th>\n",
       "      <th>mnth</th>\n",
       "      <th>weekday</th>\n",
       "      <th>workingday</th>\n",
       "      <th>weathersit</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>...</th>\n",
       "      <th>weekday_Saturday</th>\n",
       "      <th>weekday_Sunday</th>\n",
       "      <th>weekday_Thursday</th>\n",
       "      <th>weekday_Tuesday</th>\n",
       "      <th>weekday_Wednesday</th>\n",
       "      <th>weathersit_misty</th>\n",
       "      <th>weathersit_rainy</th>\n",
       "      <th>season_spring</th>\n",
       "      <th>season_summer</th>\n",
       "      <th>season_winter</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>0</td>\n",
       "      <td>misty</td>\n",
       "      <td>14.110847</td>\n",
       "      <td>18.18125</td>\n",
       "      <td>80.5833</td>\n",
       "      <td>10.749882</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Monday</td>\n",
       "      <td>0</td>\n",
       "      <td>misty</td>\n",
       "      <td>14.902598</td>\n",
       "      <td>17.68695</td>\n",
       "      <td>69.6087</td>\n",
       "      <td>16.652113</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>8.050924</td>\n",
       "      <td>9.47025</td>\n",
       "      <td>43.7273</td>\n",
       "      <td>16.636703</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>8.200000</td>\n",
       "      <td>10.60610</td>\n",
       "      <td>59.0435</td>\n",
       "      <td>10.739832</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>spring</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>1</td>\n",
       "      <td>clear</td>\n",
       "      <td>9.305237</td>\n",
       "      <td>11.46350</td>\n",
       "      <td>43.6957</td>\n",
       "      <td>12.522300</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   season  yr_2019  mnth    weekday  workingday weathersit       temp  \\\n",
       "0  spring        0     1     Sunday           0      misty  14.110847   \n",
       "1  spring        0     1     Monday           0      misty  14.902598   \n",
       "2  spring        0     1    Tuesday           1      clear   8.050924   \n",
       "3  spring        0     1  Wednesday           1      clear   8.200000   \n",
       "4  spring        0     1   Thursday           1      clear   9.305237   \n",
       "\n",
       "      atemp      hum  windspeed  ...  weekday_Saturday  weekday_Sunday  \\\n",
       "0  18.18125  80.5833  10.749882  ...                 0               1   \n",
       "1  17.68695  69.6087  16.652113  ...                 0               0   \n",
       "2   9.47025  43.7273  16.636703  ...                 0               0   \n",
       "3  10.60610  59.0435  10.739832  ...                 0               0   \n",
       "4  11.46350  43.6957  12.522300  ...                 0               0   \n",
       "\n",
       "   weekday_Thursday  weekday_Tuesday  weekday_Wednesday  weathersit_misty  \\\n",
       "0                 0                0                  0                 1   \n",
       "1                 0                0                  0                 1   \n",
       "2                 0                1                  0                 0   \n",
       "3                 0                0                  1                 0   \n",
       "4                 1                0                  0                 0   \n",
       "\n",
       "   weathersit_rainy  season_spring  season_summer  season_winter  \n",
       "0                 0              1              0              0  \n",
       "1                 0              1              0              0  \n",
       "2                 0              1              0              0  \n",
       "3                 0              1              0              0  \n",
       "4                 0              1              0              0  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 223,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.concat([data, dummies], axis=1)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Drop The original columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "   yr_2019  mnth  workingday       temp     atemp      hum  windspeed   cnt  \\\n",
       "0        0     1           0  14.110847  18.18125  80.5833  10.749882   985   \n",
       "1        0     1           0  14.902598  17.68695  69.6087  16.652113   801   \n",
       "2        0     1           1   8.050924   9.47025  43.7273  16.636703  1349   \n",
       "3        0     1           1   8.200000  10.60610  59.0435  10.739832  1562   \n",
       "4        0     1           1   9.305237  11.46350  43.6957  12.522300  1600   \n",
       "\n",
       "   day  weekday_Monday  weekday_Saturday  weekday_Sunday  weekday_Thursday  \\\n",
       "0    1               0                 0               1                 0   \n",
       "1    2               1                 0               0                 0   \n",
       "2    3               0                 0               0                 0   \n",
       "3    4               0                 0               0                 0   \n",
       "4    5               0                 0               0                 1   \n",
       "\n",
       "   weekday_Tuesday  weekday_Wednesday  weathersit_misty  weathersit_rainy  \\\n",
       "0                0                  0                 1                 0   \n",
       "1                0                  0                 1                 0   \n",
       "2                1                  0                 0                 0   \n",
       "3                0                  1                 0                 0   \n",
       "4                0                  0                 0                 0   \n",
       "\n",
       "   season_spring  season_summer  season_winter  \n",
       "0              1              0              0  \n",
       "1              1              0              0  \n",
       "2              1              0              0  \n",
       "3              1              0              0  \n",
       "4              1              0              0  "
      ]
     },
     "execution_count": 224,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.drop(['weekday','weathersit','season'], axis=1, inplace=True)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7. Train Test Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
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       "</div>"
      ],
      "text/plain": [
       "   yr_2019  mnth  workingday       temp     atemp      hum  windspeed  day  \\\n",
       "0        0     1           0  14.110847  18.18125  80.5833  10.749882    1   \n",
       "1        0     1           0  14.902598  17.68695  69.6087  16.652113    2   \n",
       "2        0     1           1   8.050924   9.47025  43.7273  16.636703    3   \n",
       "3        0     1           1   8.200000  10.60610  59.0435  10.739832    4   \n",
       "4        0     1           1   9.305237  11.46350  43.6957  12.522300    5   \n",
       "\n",
       "   weekday_Monday  weekday_Saturday  weekday_Sunday  weekday_Thursday  \\\n",
       "0               0                 0               1                 0   \n",
       "1               1                 0               0                 0   \n",
       "2               0                 0               0                 0   \n",
       "3               0                 0               0                 0   \n",
       "4               0                 0               0                 1   \n",
       "\n",
       "   weekday_Tuesday  weekday_Wednesday  weathersit_misty  weathersit_rainy  \\\n",
       "0                0                  0                 1                 0   \n",
       "1                0                  0                 1                 0   \n",
       "2                1                  0                 0                 0   \n",
       "3                0                  1                 0                 0   \n",
       "4                0                  0                 0                 0   \n",
       "\n",
       "   season_spring  season_summer  season_winter  \n",
       "0              1              0              0  \n",
       "1              1              0              0  \n",
       "2              1              0              0  \n",
       "3              1              0              0  \n",
       "4              1              0              0  "
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = data.drop(['cnt'], axis=1)\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     985\n",
       "1     801\n",
       "2    1349\n",
       "3    1562\n",
       "4    1600\n",
       "Name: cnt, dtype: int64"
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = data['cnt']\n",
    "y.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import StandardScaler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 229,
   "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>yr_2019</th>\n",
       "      <th>mnth</th>\n",
       "      <th>workingday</th>\n",
       "      <th>temp</th>\n",
       "      <th>atemp</th>\n",
       "      <th>hum</th>\n",
       "      <th>windspeed</th>\n",
       "      <th>day</th>\n",
       "      <th>weekday_Monday</th>\n",
       "      <th>weekday_Saturday</th>\n",
       "      <th>weekday_Sunday</th>\n",
       "      <th>weekday_Thursday</th>\n",
       "      <th>weekday_Tuesday</th>\n",
       "      <th>weekday_Wednesday</th>\n",
       "      <th>weathersit_misty</th>\n",
       "      <th>weathersit_rainy</th>\n",
       "      <th>season_spring</th>\n",
       "      <th>season_summer</th>\n",
       "      <th>season_winter</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>1</td>\n",
       "      <td>1.292164</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.985606</td>\n",
       "      <td>-0.960523</td>\n",
       "      <td>-0.103434</td>\n",
       "      <td>-0.473324</td>\n",
       "      <td>-0.044695</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>645</th>\n",
       "      <td>1</td>\n",
       "      <td>0.999350</td>\n",
       "      <td>0</td>\n",
       "      <td>-0.647121</td>\n",
       "      <td>-0.571139</td>\n",
       "      <td>0.536841</td>\n",
       "      <td>0.022275</td>\n",
       "      <td>-0.844059</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>0</td>\n",
       "      <td>-0.171906</td>\n",
       "      <td>1</td>\n",
       "      <td>0.734280</td>\n",
       "      <td>0.749386</td>\n",
       "      <td>-1.007011</td>\n",
       "      <td>1.584643</td>\n",
       "      <td>-0.273084</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>0</td>\n",
       "      <td>1.584978</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.967311</td>\n",
       "      <td>-0.941145</td>\n",
       "      <td>0.916822</td>\n",
       "      <td>0.005675</td>\n",
       "      <td>1.325644</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>640</th>\n",
       "      <td>1</td>\n",
       "      <td>0.999350</td>\n",
       "      <td>1</td>\n",
       "      <td>0.857783</td>\n",
       "      <td>0.733833</td>\n",
       "      <td>1.141219</td>\n",
       "      <td>-1.640885</td>\n",
       "      <td>-1.415033</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     yr_2019      mnth  workingday      temp     atemp       hum  windspeed  \\\n",
       "683        1  1.292164           1 -0.985606 -0.960523 -0.103434  -0.473324   \n",
       "645        1  0.999350           0 -0.647121 -0.571139  0.536841   0.022275   \n",
       "163        0 -0.171906           1  0.734280  0.749386 -1.007011   1.584643   \n",
       "360        0  1.584978           1 -0.967311 -0.941145  0.916822   0.005675   \n",
       "640        1  0.999350           1  0.857783  0.733833  1.141219  -1.640885   \n",
       "\n",
       "          day  weekday_Monday  weekday_Saturday  weekday_Sunday  \\\n",
       "683 -0.044695               0                 0               0   \n",
       "645 -0.844059               0                 0               0   \n",
       "163 -0.273084               0                 0               0   \n",
       "360  1.325644               0                 0               0   \n",
       "640 -1.415033               0                 0               0   \n",
       "\n",
       "     weekday_Thursday  weekday_Tuesday  weekday_Wednesday  weathersit_misty  \\\n",
       "683                 0                0                  0                 1   \n",
       "645                 0                1                  0                 1   \n",
       "163                 0                1                  0                 0   \n",
       "360                 0                0                  1                 1   \n",
       "640                 1                0                  0                 1   \n",
       "\n",
       "     weathersit_rainy  season_spring  season_summer  season_winter  \n",
       "683                 0              0              0              1  \n",
       "645                 0              0              0              1  \n",
       "163                 0              0              1              0  \n",
       "360                 0              1              0              0  \n",
       "640                 0              0              0              1  "
      ]
     },
     "execution_count": 229,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scaler = StandardScaler()\n",
    "X_train[['temp','atemp','hum','windspeed','day','mnth']] = scaler.fit_transform(X_train[['temp','atemp','hum','windspeed','day','mnth']])\n",
    "X_train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "sns.heatmap(X.corr(), annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "-------------------------------------------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 232,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['atemp', 'weekday_Monday', 'weekday_Sunday', 'season_spring', 'season_winter']\n"
     ]
    }
   ],
   "source": [
    "corr_matrix = X.corr()\n",
    "\n",
    "# Select upper triangle of correlation matrix\n",
    "upper = corr_matrix.where(np.triu(np.ones(corr_matrix.shape), k=1).astype(bool))\n",
    "\n",
    "# Find features with correlation greater than 0.95\n",
    "to_drop = [column for column in upper.columns if any(abs(upper[column]) > 0.5)]\n",
    "print(to_drop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = X_train.drop(to_drop, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "sns.heatmap(X_train.corr(), annot=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('yr_2019', True, 1),\n",
       " ('mnth', True, 1),\n",
       " ('workingday', True, 1),\n",
       " ('temp', True, 1),\n",
       " ('hum', False, 2),\n",
       " ('windspeed', True, 1),\n",
       " ('day', False, 4),\n",
       " ('weekday_Saturday', False, 5),\n",
       " ('weekday_Thursday', False, 3),\n",
       " ('weekday_Tuesday', True, 1),\n",
       " ('weekday_Wednesday', True, 1),\n",
       " ('weathersit_misty', True, 1),\n",
       " ('weathersit_rainy', True, 1),\n",
       " ('season_summer', True, 1)]"
      ]
     },
     "execution_count": 235,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Importing RFE and LinearRegression\n",
    "from sklearn.feature_selection import RFE\n",
    "from sklearn.linear_model import LinearRegression\n",
    "# Running RFE with the output number of the variable equal to 10\n",
    "lm = LinearRegression()\n",
    "lm.fit(X_train, y_train)\n",
    "\n",
    "rfe = RFE(lm,n_features_to_select= 10)             # running RFE\n",
    "rfe = rfe.fit(X_train, y_train)\n",
    "list(zip(X_train.columns,rfe.support_,rfe.ranking_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['hum', 'day', 'weekday_Saturday', 'weekday_Thursday'], dtype='object')"
      ]
     },
     "execution_count": 236,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col = X_train.columns[rfe.support_]\n",
    "X_train.columns[~rfe.support_]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                    cnt   R-squared:                       0.779\n",
      "Model:                            OLS   Adj. R-squared:                  0.775\n",
      "Method:                 Least Squares   F-statistic:                     176.5\n",
      "Date:                Wed, 21 Feb 2024   Prob (F-statistic):          5.93e-157\n",
      "Time:                        23:54:29   Log-Likelihood:                -4206.7\n",
      "No. Observations:                 511   AIC:                             8435.\n",
      "Df Residuals:                     500   BIC:                             8482.\n",
      "Df Model:                          10                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=====================================================================================\n",
      "                        coef    std err          t      P>|t|      [0.025      0.975]\n",
      "-------------------------------------------------------------------------------------\n",
      "const              3489.6781     91.701     38.055      0.000    3309.511    3669.846\n",
      "yr_2019            2004.5571     81.832     24.496      0.000    1843.780    2165.335\n",
      "mnth                423.7550     45.692      9.274      0.000     333.984     513.526\n",
      "workingday          314.8606     92.632      3.399      0.001     132.865     496.856\n",
      "temp                953.6530     44.384     21.486      0.000     866.450    1040.856\n",
      "windspeed          -162.2971     42.658     -3.805      0.000    -246.108     -78.486\n",
      "weekday_Tuesday    -272.5666    119.155     -2.287      0.023    -506.673     -38.460\n",
      "weekday_Wednesday  -289.3090    128.106     -2.258      0.024    -541.001     -37.617\n",
      "weathersit_misty   -643.6765     86.942     -7.404      0.000    -814.492    -472.861\n",
      "weathersit_rainy  -2140.9478    248.315     -8.622      0.000   -2628.818   -1653.078\n",
      "season_summer       671.0737    102.781      6.529      0.000     469.138     873.010\n",
      "==============================================================================\n",
      "Omnibus:                       59.190   Durbin-Watson:                   2.109\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              103.911\n",
      "Skew:                          -0.717   Prob(JB):                     2.73e-23\n",
      "Kurtosis:                       4.681   Cond. No.                         8.83\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "X_train_rfe = X_train[col]\n",
    "# Adding a constant variable \n",
    "import statsmodels.api as sm  \n",
    "X_train_lm  = sm.add_constant(X_train_rfe)\n",
    "lm = sm.OLS(y_train,X_train_lm ).fit()   # Running the linear model\n",
    "#Let's see the summary of our linear model\n",
    "print(lm.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 238,
   "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>Features</th>\n",
       "      <th>VIF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>workingday</td>\n",
       "      <td>2.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>yr_2019</td>\n",
       "      <td>1.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>season_summer</td>\n",
       "      <td>1.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>weathersit_misty</td>\n",
       "      <td>1.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>weekday_Wednesday</td>\n",
       "      <td>1.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>weekday_Tuesday</td>\n",
       "      <td>1.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>mnth</td>\n",
       "      <td>1.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>temp</td>\n",
       "      <td>1.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>windspeed</td>\n",
       "      <td>1.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>weathersit_rainy</td>\n",
       "      <td>1.07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Features   VIF\n",
       "2         workingday  2.32\n",
       "0            yr_2019  1.63\n",
       "9      season_summer  1.53\n",
       "7   weathersit_misty  1.46\n",
       "6  weekday_Wednesday  1.30\n",
       "5    weekday_Tuesday  1.27\n",
       "1               mnth  1.25\n",
       "3               temp  1.17\n",
       "4          windspeed  1.10\n",
       "8   weathersit_rainy  1.07"
      ]
     },
     "execution_count": 238,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from statsmodels.stats.outliers_influence import variance_inflation_factor\n",
    "\n",
    "vif = pd.DataFrame()\n",
    "X = X_train_rfe\n",
    "vif['Features'] = X.columns\n",
    "vif['VIF'] = [variance_inflation_factor(X.values, i) for i in range(X.shape[1])]\n",
    "vif['VIF'] = round(vif['VIF'], 2)\n",
    "vif = vif.sort_values(by = \"VIF\", ascending = False)\n",
    "vif\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Residual Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 239,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Errors')"
      ]
     },
     "execution_count": 239,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_train_cnt = lm.predict(X_train_lm)\n",
    "# Importing the required libraries for plots.\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "# Plot the histogram of the error terms\n",
    "fig = plt.figure()\n",
    "sns.distplot((y_train - y_train_cnt), bins = 20)\n",
    "fig.suptitle('Error Terms', fontsize = 20)                  # Plot heading \n",
    "plt.xlabel('Errors', fontsize = 18)    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Making Predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_test[['temp','atemp','hum','windspeed','day','mnth']] = scaler.transform(X_test[['temp','atemp','hum','windspeed','day','mnth']])\n",
    "# Now let's use our model to make predictions.\n",
    "\n",
    "# Creating X_test_new dataframe by dropping variables from X_test\n",
    "X_test_new = X_test[X_train_rfe.columns]\n",
    "\n",
    "# Adding a constant variable \n",
    "X_test_new = sm.add_constant(X_test_new)\n",
    "# Making predictions\n",
    "y_pred = lm.predict(X_test_new)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 241,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'y_pred')"
      ]
     },
     "execution_count": 241,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting y_test and y_pred to understand the spread.\n",
    "fig = plt.figure()\n",
    "plt.scatter(y_test,y_pred)\n",
    "fig.suptitle('y_test vs y_pred', fontsize=20)              # Plot heading \n",
    "plt.xlabel('y_test', fontsize=18)                          # X-label\n",
    "plt.ylabel('y_pred', fontsize=16)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:                    cnt   R-squared:                       0.779\n",
      "Model:                            OLS   Adj. R-squared:                  0.775\n",
      "Method:                 Least Squares   F-statistic:                     176.5\n",
      "Date:                Wed, 21 Feb 2024   Prob (F-statistic):          5.93e-157\n",
      "Time:                        23:56:28   Log-Likelihood:                -4206.7\n",
      "No. Observations:                 511   AIC:                             8435.\n",
      "Df Residuals:                     500   BIC:                             8482.\n",
      "Df Model:                          10                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "=====================================================================================\n",
      "                        coef    std err          t      P>|t|      [0.025      0.975]\n",
      "-------------------------------------------------------------------------------------\n",
      "const              3489.6781     91.701     38.055      0.000    3309.511    3669.846\n",
      "yr_2019            2004.5571     81.832     24.496      0.000    1843.780    2165.335\n",
      "mnth                423.7550     45.692      9.274      0.000     333.984     513.526\n",
      "workingday          314.8606     92.632      3.399      0.001     132.865     496.856\n",
      "temp                953.6530     44.384     21.486      0.000     866.450    1040.856\n",
      "windspeed          -162.2971     42.658     -3.805      0.000    -246.108     -78.486\n",
      "weekday_Tuesday    -272.5666    119.155     -2.287      0.023    -506.673     -38.460\n",
      "weekday_Wednesday  -289.3090    128.106     -2.258      0.024    -541.001     -37.617\n",
      "weathersit_misty   -643.6765     86.942     -7.404      0.000    -814.492    -472.861\n",
      "weathersit_rainy  -2140.9478    248.315     -8.622      0.000   -2628.818   -1653.078\n",
      "season_summer       671.0737    102.781      6.529      0.000     469.138     873.010\n",
      "==============================================================================\n",
      "Omnibus:                       59.190   Durbin-Watson:                   2.109\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              103.911\n",
      "Skew:                          -0.717   Prob(JB):                     2.73e-23\n",
      "Kurtosis:                       4.681   Cond. No.                         8.83\n",
      "==============================================================================\n",
      "\n",
      "Notes:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "print(lm.summary())"
   ]
  },
  {
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    "R-squared:                       0.779\n",
    "Adj. R-squared:                  0.775"
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