Cleaning Data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import warnings \n",
    "from sklearn.impute import SimpleImputer\n",
    "pd.set_option('display.max_columns', None)\n",
    "\n",
    "import datetime as dt\n",
    "warnings.filterwarnings('ignore')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Basic Understanding of The Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>agent</th>\n",
       "      <th>company</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>304.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>107.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>FB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>303.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>103.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>85</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>240.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>82.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>2015-05-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>1</td>\n",
       "      <td>75</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>HB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Offline TA/TO</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>D</td>\n",
       "      <td>D</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>15.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>105.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Canceled</td>\n",
       "      <td>2015-04-22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          hotel  is_canceled  lead_time  arrival_date_year arrival_date_month  \\\n",
       "0  Resort Hotel            0        342               2015               July   \n",
       "1  Resort Hotel            0        737               2015               July   \n",
       "2  Resort Hotel            0          7               2015               July   \n",
       "3  Resort Hotel            0         13               2015               July   \n",
       "4  Resort Hotel            0         14               2015               July   \n",
       "5  Resort Hotel            0         14               2015               July   \n",
       "6  Resort Hotel            0          0               2015               July   \n",
       "7  Resort Hotel            0          9               2015               July   \n",
       "8  Resort Hotel            1         85               2015               July   \n",
       "9  Resort Hotel            1         75               2015               July   \n",
       "\n",
       "   arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "0                        27                          1   \n",
       "1                        27                          1   \n",
       "2                        27                          1   \n",
       "3                        27                          1   \n",
       "4                        27                          1   \n",
       "5                        27                          1   \n",
       "6                        27                          1   \n",
       "7                        27                          1   \n",
       "8                        27                          1   \n",
       "9                        27                          1   \n",
       "\n",
       "   stays_in_weekend_nights  stays_in_week_nights  adults  children  babies  \\\n",
       "0                        0                     0       2       0.0       0   \n",
       "1                        0                     0       2       0.0       0   \n",
       "2                        0                     1       1       0.0       0   \n",
       "3                        0                     1       1       0.0       0   \n",
       "4                        0                     2       2       0.0       0   \n",
       "5                        0                     2       2       0.0       0   \n",
       "6                        0                     2       2       0.0       0   \n",
       "7                        0                     2       2       0.0       0   \n",
       "8                        0                     3       2       0.0       0   \n",
       "9                        0                     3       2       0.0       0   \n",
       "\n",
       "  meal country market_segment distribution_channel  is_repeated_guest  \\\n",
       "0   BB     PRT         Direct               Direct                  0   \n",
       "1   BB     PRT         Direct               Direct                  0   \n",
       "2   BB     GBR         Direct               Direct                  0   \n",
       "3   BB     GBR      Corporate            Corporate                  0   \n",
       "4   BB     GBR      Online TA                TA/TO                  0   \n",
       "5   BB     GBR      Online TA                TA/TO                  0   \n",
       "6   BB     PRT         Direct               Direct                  0   \n",
       "7   FB     PRT         Direct               Direct                  0   \n",
       "8   BB     PRT      Online TA                TA/TO                  0   \n",
       "9   HB     PRT  Offline TA/TO                TA/TO                  0   \n",
       "\n",
       "   previous_cancellations  previous_bookings_not_canceled reserved_room_type  \\\n",
       "0                       0                               0                  C   \n",
       "1                       0                               0                  C   \n",
       "2                       0                               0                  A   \n",
       "3                       0                               0                  A   \n",
       "4                       0                               0                  A   \n",
       "5                       0                               0                  A   \n",
       "6                       0                               0                  C   \n",
       "7                       0                               0                  C   \n",
       "8                       0                               0                  A   \n",
       "9                       0                               0                  D   \n",
       "\n",
       "  assigned_room_type  booking_changes deposit_type  agent  company  \\\n",
       "0                  C                3   No Deposit    NaN      NaN   \n",
       "1                  C                4   No Deposit    NaN      NaN   \n",
       "2                  C                0   No Deposit    NaN      NaN   \n",
       "3                  A                0   No Deposit  304.0      NaN   \n",
       "4                  A                0   No Deposit  240.0      NaN   \n",
       "5                  A                0   No Deposit  240.0      NaN   \n",
       "6                  C                0   No Deposit    NaN      NaN   \n",
       "7                  C                0   No Deposit  303.0      NaN   \n",
       "8                  A                0   No Deposit  240.0      NaN   \n",
       "9                  D                0   No Deposit   15.0      NaN   \n",
       "\n",
       "   days_in_waiting_list customer_type    adr  required_car_parking_spaces  \\\n",
       "0                     0     Transient    0.0                            0   \n",
       "1                     0     Transient    0.0                            0   \n",
       "2                     0     Transient   75.0                            0   \n",
       "3                     0     Transient   75.0                            0   \n",
       "4                     0     Transient   98.0                            0   \n",
       "5                     0     Transient   98.0                            0   \n",
       "6                     0     Transient  107.0                            0   \n",
       "7                     0     Transient  103.0                            0   \n",
       "8                     0     Transient   82.0                            0   \n",
       "9                     0     Transient  105.5                            0   \n",
       "\n",
       "   total_of_special_requests reservation_status reservation_status_date  \n",
       "0                          0          Check-Out              2015-07-01  \n",
       "1                          0          Check-Out              2015-07-01  \n",
       "2                          0          Check-Out              2015-07-02  \n",
       "3                          0          Check-Out              2015-07-02  \n",
       "4                          1          Check-Out              2015-07-03  \n",
       "5                          1          Check-Out              2015-07-03  \n",
       "6                          0          Check-Out              2015-07-03  \n",
       "7                          1          Check-Out              2015-07-03  \n",
       "8                          1           Canceled              2015-05-06  \n",
       "9                          0           Canceled              2015-04-22  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('hotel_bookings.csv')\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 119390 entries, 0 to 119389\n",
      "Data columns (total 32 columns):\n",
      " #   Column                          Non-Null Count   Dtype  \n",
      "---  ------                          --------------   -----  \n",
      " 0   hotel                           119390 non-null  object \n",
      " 1   is_canceled                     119390 non-null  int64  \n",
      " 2   lead_time                       119390 non-null  int64  \n",
      " 3   arrival_date_year               119390 non-null  int64  \n",
      " 4   arrival_date_month              119390 non-null  object \n",
      " 5   arrival_date_week_number        119390 non-null  int64  \n",
      " 6   arrival_date_day_of_month       119390 non-null  int64  \n",
      " 7   stays_in_weekend_nights         119390 non-null  int64  \n",
      " 8   stays_in_week_nights            119390 non-null  int64  \n",
      " 9   adults                          119390 non-null  int64  \n",
      " 10  children                        119386 non-null  float64\n",
      " 11  babies                          119390 non-null  int64  \n",
      " 12  meal                            119390 non-null  object \n",
      " 13  country                         118902 non-null  object \n",
      " 14  market_segment                  119390 non-null  object \n",
      " 15  distribution_channel            119390 non-null  object \n",
      " 16  is_repeated_guest               119390 non-null  int64  \n",
      " 17  previous_cancellations          119390 non-null  int64  \n",
      " 18  previous_bookings_not_canceled  119390 non-null  int64  \n",
      " 19  reserved_room_type              119390 non-null  object \n",
      " 20  assigned_room_type              119390 non-null  object \n",
      " 21  booking_changes                 119390 non-null  int64  \n",
      " 22  deposit_type                    119390 non-null  object \n",
      " 23  agent                           103050 non-null  float64\n",
      " 24  company                         6797 non-null    float64\n",
      " 25  days_in_waiting_list            119390 non-null  int64  \n",
      " 26  customer_type                   119390 non-null  object \n",
      " 27  adr                             119390 non-null  float64\n",
      " 28  required_car_parking_spaces     119390 non-null  int64  \n",
      " 29  total_of_special_requests       119390 non-null  int64  \n",
      " 30  reservation_status              119390 non-null  object \n",
      " 31  reservation_status_date         119390 non-null  object \n",
      "dtypes: float64(4), int64(16), object(12)\n",
      "memory usage: 29.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hotel                                  0\n",
       "is_canceled                            0\n",
       "lead_time                              0\n",
       "arrival_date_year                      0\n",
       "arrival_date_month                     0\n",
       "arrival_date_week_number               0\n",
       "arrival_date_day_of_month              0\n",
       "stays_in_weekend_nights                0\n",
       "stays_in_week_nights                   0\n",
       "adults                                 0\n",
       "children                               4\n",
       "babies                                 0\n",
       "meal                                   0\n",
       "country                              488\n",
       "market_segment                         0\n",
       "distribution_channel                   0\n",
       "is_repeated_guest                      0\n",
       "previous_cancellations                 0\n",
       "previous_bookings_not_canceled         0\n",
       "reserved_room_type                     0\n",
       "assigned_room_type                     0\n",
       "booking_changes                        0\n",
       "deposit_type                           0\n",
       "agent                              16340\n",
       "company                           112593\n",
       "days_in_waiting_list                   0\n",
       "customer_type                          0\n",
       "adr                                    0\n",
       "required_car_parking_spaces            0\n",
       "total_of_special_requests              0\n",
       "reservation_status                     0\n",
       "reservation_status_date                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()\n",
    "\n",
    "# there are some columns with null value in the data frame we will need to imputing, and filling some random value \n",
    "# and there's huge amount of missing value in the company column this might need to be drop, but we will discover it later on\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.629584\n",
       "1    0.370416\n",
       "Name: is_canceled, dtype: float64"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['is_canceled'].value_counts(normalize=True)\n",
    "\n",
    "# The data is not imbalance so for the accuracy score will be considered as evaluation matrix score "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Check-Out    75166\n",
       "Canceled     43017\n",
       "No-Show       1207\n",
       "Name: reservation_status, dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['reservation_status'].value_counts()\n",
    "\n",
    "# the reservation status column will need to be dropped for the machine learning since it has canceled status \n",
    "# it will somehow leak the information to the model regarding latest status of a booking and will make the model bias\n",
    "# and it wouldn't be useful for predicting for cancelllation since the status only happened after the booking was cancelled or\n",
    "# after the customer checked out from the hotel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "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>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>agent</th>\n",
       "      <th>company</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>119390.000000</td>\n",
       "      <td>119390.000000</td>\n",
       "      <td>119390.000000</td>\n",
       "      <td>119390.000000</td>\n",
       "      <td>119390.000000</td>\n",
       "      <td>119390.000000</td>\n",
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       "      <td>119390.000000</td>\n",
       "      <td>119390.000000</td>\n",
       "      <td>119390.000000</td>\n",
       "      <td>119390.000000</td>\n",
       "      <td>119390.000000</td>\n",
       "      <td>103050.000000</td>\n",
       "      <td>6797.000000</td>\n",
       "      <td>119390.000000</td>\n",
       "      <td>119390.000000</td>\n",
       "      <td>119390.000000</td>\n",
       "      <td>119390.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.370416</td>\n",
       "      <td>104.011416</td>\n",
       "      <td>2016.156554</td>\n",
       "      <td>27.165173</td>\n",
       "      <td>15.798241</td>\n",
       "      <td>0.927599</td>\n",
       "      <td>2.500302</td>\n",
       "      <td>1.856403</td>\n",
       "      <td>0.103890</td>\n",
       "      <td>0.007949</td>\n",
       "      <td>0.031912</td>\n",
       "      <td>0.087118</td>\n",
       "      <td>0.137097</td>\n",
       "      <td>0.221124</td>\n",
       "      <td>86.693382</td>\n",
       "      <td>189.266735</td>\n",
       "      <td>2.321149</td>\n",
       "      <td>101.831122</td>\n",
       "      <td>0.062518</td>\n",
       "      <td>0.571363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.482918</td>\n",
       "      <td>106.863097</td>\n",
       "      <td>0.707476</td>\n",
       "      <td>13.605138</td>\n",
       "      <td>8.780829</td>\n",
       "      <td>0.998613</td>\n",
       "      <td>1.908286</td>\n",
       "      <td>0.579261</td>\n",
       "      <td>0.398561</td>\n",
       "      <td>0.097436</td>\n",
       "      <td>0.175767</td>\n",
       "      <td>0.844336</td>\n",
       "      <td>1.497437</td>\n",
       "      <td>0.652306</td>\n",
       "      <td>110.774548</td>\n",
       "      <td>131.655015</td>\n",
       "      <td>17.594721</td>\n",
       "      <td>50.535790</td>\n",
       "      <td>0.245291</td>\n",
       "      <td>0.792798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-6.380000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>62.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>69.290000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>179.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>94.575000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>160.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>229.000000</td>\n",
       "      <td>270.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>737.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>535.000000</td>\n",
       "      <td>543.000000</td>\n",
       "      <td>391.000000</td>\n",
       "      <td>5400.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         is_canceled      lead_time  arrival_date_year  \\\n",
       "count  119390.000000  119390.000000      119390.000000   \n",
       "mean        0.370416     104.011416        2016.156554   \n",
       "std         0.482918     106.863097           0.707476   \n",
       "min         0.000000       0.000000        2015.000000   \n",
       "25%         0.000000      18.000000        2016.000000   \n",
       "50%         0.000000      69.000000        2016.000000   \n",
       "75%         1.000000     160.000000        2017.000000   \n",
       "max         1.000000     737.000000        2017.000000   \n",
       "\n",
       "       arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "count             119390.000000              119390.000000   \n",
       "mean                  27.165173                  15.798241   \n",
       "std                   13.605138                   8.780829   \n",
       "min                    1.000000                   1.000000   \n",
       "25%                   16.000000                   8.000000   \n",
       "50%                   28.000000                  16.000000   \n",
       "75%                   38.000000                  23.000000   \n",
       "max                   53.000000                  31.000000   \n",
       "\n",
       "       stays_in_weekend_nights  stays_in_week_nights         adults  \\\n",
       "count            119390.000000         119390.000000  119390.000000   \n",
       "mean                  0.927599              2.500302       1.856403   \n",
       "std                   0.998613              1.908286       0.579261   \n",
       "min                   0.000000              0.000000       0.000000   \n",
       "25%                   0.000000              1.000000       2.000000   \n",
       "50%                   1.000000              2.000000       2.000000   \n",
       "75%                   2.000000              3.000000       2.000000   \n",
       "max                  19.000000             50.000000      55.000000   \n",
       "\n",
       "            children         babies  is_repeated_guest  \\\n",
       "count  119386.000000  119390.000000      119390.000000   \n",
       "mean        0.103890       0.007949           0.031912   \n",
       "std         0.398561       0.097436           0.175767   \n",
       "min         0.000000       0.000000           0.000000   \n",
       "25%         0.000000       0.000000           0.000000   \n",
       "50%         0.000000       0.000000           0.000000   \n",
       "75%         0.000000       0.000000           0.000000   \n",
       "max        10.000000      10.000000           1.000000   \n",
       "\n",
       "       previous_cancellations  previous_bookings_not_canceled  \\\n",
       "count           119390.000000                   119390.000000   \n",
       "mean                 0.087118                        0.137097   \n",
       "std                  0.844336                        1.497437   \n",
       "min                  0.000000                        0.000000   \n",
       "25%                  0.000000                        0.000000   \n",
       "50%                  0.000000                        0.000000   \n",
       "75%                  0.000000                        0.000000   \n",
       "max                 26.000000                       72.000000   \n",
       "\n",
       "       booking_changes          agent      company  days_in_waiting_list  \\\n",
       "count    119390.000000  103050.000000  6797.000000         119390.000000   \n",
       "mean          0.221124      86.693382   189.266735              2.321149   \n",
       "std           0.652306     110.774548   131.655015             17.594721   \n",
       "min           0.000000       1.000000     6.000000              0.000000   \n",
       "25%           0.000000       9.000000    62.000000              0.000000   \n",
       "50%           0.000000      14.000000   179.000000              0.000000   \n",
       "75%           0.000000     229.000000   270.000000              0.000000   \n",
       "max          21.000000     535.000000   543.000000            391.000000   \n",
       "\n",
       "                 adr  required_car_parking_spaces  total_of_special_requests  \n",
       "count  119390.000000                119390.000000              119390.000000  \n",
       "mean      101.831122                     0.062518                   0.571363  \n",
       "std        50.535790                     0.245291                   0.792798  \n",
       "min        -6.380000                     0.000000                   0.000000  \n",
       "25%        69.290000                     0.000000                   0.000000  \n",
       "50%        94.575000                     0.000000                   0.000000  \n",
       "75%       126.000000                     0.000000                   1.000000  \n",
       "max      5400.000000                     8.000000                   5.000000  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()\n",
    "\n",
    "# there's an adr that's negative, we will do a deeper analysis on this\n",
    "# because it's impossible to have a neagtive daily rate as the hotel \n",
    "# there's 0 adult in the data as well we will do a deeper analysis on this \n",
    "# because is impossible to have a booking with 0 adult \n",
    "# there's a absurdly high amount for the adr with 5400 euro (since this is portugal i'm assuming this is in euro)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>hotel</th>\n",
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       "      <th>meal</th>\n",
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       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>177</td>\n",
       "      <td>8</td>\n",
       "      <td>5</td>\n",
       "      <td>10</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>August</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>Transient</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-10-21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>79330</td>\n",
       "      <td>13877</td>\n",
       "      <td>92310</td>\n",
       "      <td>48590</td>\n",
       "      <td>56477</td>\n",
       "      <td>97870</td>\n",
       "      <td>85994</td>\n",
       "      <td>74053</td>\n",
       "      <td>104641</td>\n",
       "      <td>89613</td>\n",
       "      <td>75166</td>\n",
       "      <td>1461</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             hotel arrival_date_month    meal country market_segment  \\\n",
       "count       119390             119390  119390  118902         119390   \n",
       "unique           2                 12       5     177              8   \n",
       "top     City Hotel             August      BB     PRT      Online TA   \n",
       "freq         79330              13877   92310   48590          56477   \n",
       "\n",
       "       distribution_channel reserved_room_type assigned_room_type  \\\n",
       "count                119390             119390             119390   \n",
       "unique                    5                 10                 12   \n",
       "top                   TA/TO                  A                  A   \n",
       "freq                  97870              85994              74053   \n",
       "\n",
       "       deposit_type customer_type reservation_status reservation_status_date  \n",
       "count        119390        119390             119390                  119390  \n",
       "unique            3             4                  3                     926  \n",
       "top      No Deposit     Transient          Check-Out              2015-10-21  \n",
       "freq         104641         89613              75166                    1461  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include = 'O')\n",
    "\n",
    "# almost half of the booking were made from portugal \n",
    "# in this case city hotel is more favored (in Lisbon) compared to resort hotel (algarve region)\n",
    "# there is a discrepancy of reserved room type and assigned room type \n",
    "# hotel might have room that's not sold to the public \n",
    "# no deposit here might have a reason why cancellation is high (since customer will not have anything to lose in this no deposit case)\n",
    "# most popular room is room type A (we need to check it with the ADR which room type has the average daily rate and what it has to do with the popularity )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['hotel', 'is_canceled', 'lead_time', 'arrival_date_year',\n",
       "       'arrival_date_month', 'arrival_date_week_number',\n",
       "       'arrival_date_day_of_month', 'stays_in_weekend_nights',\n",
       "       'stays_in_week_nights', 'adults', 'children', 'babies', 'meal',\n",
       "       'country', 'market_segment', 'distribution_channel',\n",
       "       'is_repeated_guest', 'previous_cancellations',\n",
       "       'previous_bookings_not_canceled', 'reserved_room_type',\n",
       "       'assigned_room_type', 'booking_changes', 'deposit_type', 'agent',\n",
       "       'company', 'days_in_waiting_list', 'customer_type', 'adr',\n",
       "       'required_car_parking_spaces', 'total_of_special_requests',\n",
       "       'reservation_status', 'reservation_status_date'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset Cleaning, Preparation and outliers Handling\n",
    "\n",
    "\n",
    "### Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hotel                                  0\n",
       "is_canceled                            0\n",
       "lead_time                              0\n",
       "arrival_date_year                      0\n",
       "arrival_date_month                     0\n",
       "arrival_date_week_number               0\n",
       "arrival_date_day_of_month              0\n",
       "stays_in_weekend_nights                0\n",
       "stays_in_week_nights                   0\n",
       "adults                                 0\n",
       "children                               4\n",
       "babies                                 0\n",
       "meal                                   0\n",
       "country                              488\n",
       "market_segment                         0\n",
       "distribution_channel                   0\n",
       "is_repeated_guest                      0\n",
       "previous_cancellations                 0\n",
       "previous_bookings_not_canceled         0\n",
       "reserved_room_type                     0\n",
       "assigned_room_type                     0\n",
       "booking_changes                        0\n",
       "deposit_type                           0\n",
       "agent                              16340\n",
       "company                           112593\n",
       "days_in_waiting_list                   0\n",
       "customer_type                          0\n",
       "adr                                    0\n",
       "required_car_parking_spaces            0\n",
       "total_of_special_requests              0\n",
       "reservation_status                     0\n",
       "reservation_status_date                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## recheking the column that has null value in the dataframe e\n",
    "\n",
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0     110796\n",
       "1.0       4861\n",
       "2.0       3652\n",
       "3.0         76\n",
       "10.0         1\n",
       "Name: children, dtype: int64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['children'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hotel                                  0\n",
       "is_canceled                            0\n",
       "lead_time                              0\n",
       "arrival_date_year                      0\n",
       "arrival_date_month                     0\n",
       "arrival_date_week_number               0\n",
       "arrival_date_day_of_month              0\n",
       "stays_in_weekend_nights                0\n",
       "stays_in_week_nights                   0\n",
       "adults                                 0\n",
       "children                               0\n",
       "babies                                 0\n",
       "meal                                   0\n",
       "country                              488\n",
       "market_segment                         0\n",
       "distribution_channel                   0\n",
       "is_repeated_guest                      0\n",
       "previous_cancellations                 0\n",
       "previous_bookings_not_canceled         0\n",
       "reserved_room_type                     0\n",
       "assigned_room_type                     0\n",
       "booking_changes                        0\n",
       "deposit_type                           0\n",
       "agent                              16340\n",
       "company                           112593\n",
       "days_in_waiting_list                   0\n",
       "customer_type                          0\n",
       "adr                                    0\n",
       "required_car_parking_spaces            0\n",
       "total_of_special_requests              0\n",
       "reservation_status                     0\n",
       "reservation_status_date                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# filliing in the children missing value columns \n",
    "# since the children mean and median and mode are 0 we will fill it with 0\n",
    "# we will fill it with mode since in some case median or mean of a value is a float and you can't have a float value children\n",
    "\n",
    "df['children'] = df['children'].fillna(0)\n",
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hotel                                  0\n",
       "is_canceled                            0\n",
       "lead_time                              0\n",
       "arrival_date_year                      0\n",
       "arrival_date_month                     0\n",
       "arrival_date_week_number               0\n",
       "arrival_date_day_of_month              0\n",
       "stays_in_weekend_nights                0\n",
       "stays_in_week_nights                   0\n",
       "adults                                 0\n",
       "children                               0\n",
       "babies                                 0\n",
       "meal                                   0\n",
       "country                                0\n",
       "market_segment                         0\n",
       "distribution_channel                   0\n",
       "is_repeated_guest                      0\n",
       "previous_cancellations                 0\n",
       "previous_bookings_not_canceled         0\n",
       "reserved_room_type                     0\n",
       "assigned_room_type                     0\n",
       "booking_changes                        0\n",
       "deposit_type                           0\n",
       "agent                              16340\n",
       "company                           112593\n",
       "days_in_waiting_list                   0\n",
       "customer_type                          0\n",
       "adr                                    0\n",
       "required_car_parking_spaces            0\n",
       "total_of_special_requests              0\n",
       "reservation_status                     0\n",
       "reservation_status_date                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### imputing the country columns \n",
    "# the country column we will fill it with the most frequent value of the column \n",
    "\n",
    "df['country'] = df['country'].fillna(df['country'].value_counts().index[0])\n",
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hotel                             0\n",
       "is_canceled                       0\n",
       "lead_time                         0\n",
       "arrival_date_year                 0\n",
       "arrival_date_month                0\n",
       "arrival_date_week_number          0\n",
       "arrival_date_day_of_month         0\n",
       "stays_in_weekend_nights           0\n",
       "stays_in_week_nights              0\n",
       "adults                            0\n",
       "children                          0\n",
       "babies                            0\n",
       "meal                              0\n",
       "country                           0\n",
       "market_segment                    0\n",
       "distribution_channel              0\n",
       "is_repeated_guest                 0\n",
       "previous_cancellations            0\n",
       "previous_bookings_not_canceled    0\n",
       "reserved_room_type                0\n",
       "assigned_room_type                0\n",
       "booking_changes                   0\n",
       "deposit_type                      0\n",
       "days_in_waiting_list              0\n",
       "customer_type                     0\n",
       "adr                               0\n",
       "required_car_parking_spaces       0\n",
       "total_of_special_requests         0\n",
       "reservation_status                0\n",
       "reservation_status_date           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## since there are 334 of unique value in the column agent and imputing it would be a reckless move \n",
    "# and in the description mentioned that many nan value in the agent column is booking that'made from individual \n",
    "# so we will drop the column instead\n",
    "#  we will drop the company column since it has more than 90% of null value \n",
    "\n",
    "df =df.drop(columns = ['agent', 'company'])\n",
    "df.isna().sum()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 18 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "### since the there is no null value anymore in the data now i will check the outliers \n",
    "\n",
    "plt.figure(figsize = (20, 10))\n",
    "x = 1 \n",
    "\n",
    "for column in df.describe().columns:\n",
    "    plt.subplot(6,4,x)\n",
    "    sns.boxplot(df[column])\n",
    "    x+=1\n",
    "    \n",
    "plt.tight_layout()\n",
    "\n",
    "# we can see that there are many outliers in many of the columns \n",
    "# we will handle the outliers by binning the columns that has outliers in it \n",
    "# and from the box plot there are columns that has a random value like 0 number of adults \n",
    "# and negative amount of adr \n",
    "# there's one value of adr that's above 5000 and there's only 1 data point since it so random we will drop that one outliers in\n",
    "# the adr colummn\n",
    "# according to : \n",
    "# https://www.statista.com/statistics/545281/daily-hotel-rates-lisbon/#:~:text=This%20statistic%20shows%20the%20average,again%20in%202018%20and%202019.\n",
    "\n",
    "# the average ADR for hotel in lisbon is around 91 - 114 in 2017\n",
    "# while acccording to :\n",
    "# https://es.christie.com/christieMediaLibraries/christieSpain/PDFs-Publications/Portugal-Hotel-Market-2018_VF.pdf?ext=.pdf\n",
    "\n",
    "# the algarve region ADR is 83 \n",
    "\n",
    "# since this data comes from both region and knowing the avg ADR is less than 5000 we will be dropping the row that has more than\n",
    "# 5000 euro ADR\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adult Abnormal Value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "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>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [hotel, is_canceled, lead_time, arrival_date_year, arrival_date_month, arrival_date_week_number, arrival_date_day_of_month, stays_in_weekend_nights, stays_in_week_nights, adults, children, babies, meal, country, market_segment, distribution_channel, is_repeated_guest, previous_cancellations, previous_bookings_not_canceled, reserved_room_type, assigned_room_type, booking_changes, deposit_type, days_in_waiting_list, customer_type, adr, required_car_parking_spaces, total_of_special_requests, reservation_status, reservation_status_date]\n",
       "Index: []"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# since it's impossible to have 0 adults to book a hotel room \n",
    "\n",
    "df.drop(labels = df[df['adults'] == 0].index, axis = 0, inplace = True)\n",
    "df[df['adults'] == 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### ADR Abnormal Value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "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>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14969</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>195</td>\n",
       "      <td>2017</td>\n",
       "      <td>March</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Groups</td>\n",
       "      <td>Direct</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>A</td>\n",
       "      <td>H</td>\n",
       "      <td>2</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient-Party</td>\n",
       "      <td>-6.38</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2017-03-15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              hotel  is_canceled  lead_time  arrival_date_year  \\\n",
       "14969  Resort Hotel            0        195               2017   \n",
       "\n",
       "      arrival_date_month  arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "14969              March                        10                          5   \n",
       "\n",
       "       stays_in_weekend_nights  stays_in_week_nights  adults  children  \\\n",
       "14969                        4                     6       2       0.0   \n",
       "\n",
       "       babies meal country market_segment distribution_channel  \\\n",
       "14969       0   BB     GBR         Groups               Direct   \n",
       "\n",
       "       is_repeated_guest  previous_cancellations  \\\n",
       "14969                  1                       0   \n",
       "\n",
       "       previous_bookings_not_canceled reserved_room_type assigned_room_type  \\\n",
       "14969                               2                  A                  H   \n",
       "\n",
       "       booking_changes deposit_type  days_in_waiting_list    customer_type  \\\n",
       "14969                2   No Deposit                     0  Transient-Party   \n",
       "\n",
       "        adr  required_car_parking_spaces  total_of_special_requests  \\\n",
       "14969 -6.38                            0                          0   \n",
       "\n",
       "      reservation_status reservation_status_date  \n",
       "14969          Check-Out              2017-03-15  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# there are a value of a adr columns that below 0 since it is impossible for hotel to owe money to the guest \n",
    "df[df['adr'] <0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\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>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [hotel, is_canceled, lead_time, arrival_date_year, arrival_date_month, arrival_date_week_number, arrival_date_day_of_month, stays_in_weekend_nights, stays_in_week_nights, adults, children, babies, meal, country, market_segment, distribution_channel, is_repeated_guest, previous_cancellations, previous_bookings_not_canceled, reserved_room_type, assigned_room_type, booking_changes, deposit_type, days_in_waiting_list, customer_type, adr, required_car_parking_spaces, total_of_special_requests, reservation_status, reservation_status_date]\n",
       "Index: []"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.drop(df[df.adr < 0].index)\n",
    "df[df['adr'] < 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\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>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [hotel, is_canceled, lead_time, arrival_date_year, arrival_date_month, arrival_date_week_number, arrival_date_day_of_month, stays_in_weekend_nights, stays_in_week_nights, adults, children, babies, meal, country, market_segment, distribution_channel, is_repeated_guest, previous_cancellations, previous_bookings_not_canceled, reserved_room_type, assigned_room_type, booking_changes, deposit_type, days_in_waiting_list, customer_type, adr, required_car_parking_spaces, total_of_special_requests, reservation_status, reservation_status_date]\n",
       "Index: []"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.drop(df[df.adr > 5000].index)\n",
    "df[df['adr']> 5000]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preparation \n",
    "\n",
    "\n",
    "### Arrival Columns \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "      <th>arrival_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-03</td>\n",
       "      <td>2015-07-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          hotel  is_canceled  lead_time  arrival_date_year arrival_date_month  \\\n",
       "0  Resort Hotel            0        342               2015               July   \n",
       "1  Resort Hotel            0        737               2015               July   \n",
       "2  Resort Hotel            0          7               2015               July   \n",
       "3  Resort Hotel            0         13               2015               July   \n",
       "4  Resort Hotel            0         14               2015               July   \n",
       "\n",
       "   arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "0                        27                          1   \n",
       "1                        27                          1   \n",
       "2                        27                          1   \n",
       "3                        27                          1   \n",
       "4                        27                          1   \n",
       "\n",
       "   stays_in_weekend_nights  stays_in_week_nights  adults  children  babies  \\\n",
       "0                        0                     0       2       0.0       0   \n",
       "1                        0                     0       2       0.0       0   \n",
       "2                        0                     1       1       0.0       0   \n",
       "3                        0                     1       1       0.0       0   \n",
       "4                        0                     2       2       0.0       0   \n",
       "\n",
       "  meal country market_segment distribution_channel  is_repeated_guest  \\\n",
       "0   BB     PRT         Direct               Direct                  0   \n",
       "1   BB     PRT         Direct               Direct                  0   \n",
       "2   BB     GBR         Direct               Direct                  0   \n",
       "3   BB     GBR      Corporate            Corporate                  0   \n",
       "4   BB     GBR      Online TA                TA/TO                  0   \n",
       "\n",
       "   previous_cancellations  previous_bookings_not_canceled reserved_room_type  \\\n",
       "0                       0                               0                  C   \n",
       "1                       0                               0                  C   \n",
       "2                       0                               0                  A   \n",
       "3                       0                               0                  A   \n",
       "4                       0                               0                  A   \n",
       "\n",
       "  assigned_room_type  booking_changes deposit_type  days_in_waiting_list  \\\n",
       "0                  C                3   No Deposit                     0   \n",
       "1                  C                4   No Deposit                     0   \n",
       "2                  C                0   No Deposit                     0   \n",
       "3                  A                0   No Deposit                     0   \n",
       "4                  A                0   No Deposit                     0   \n",
       "\n",
       "  customer_type   adr  required_car_parking_spaces  total_of_special_requests  \\\n",
       "0     Transient   0.0                            0                          0   \n",
       "1     Transient   0.0                            0                          0   \n",
       "2     Transient  75.0                            0                          0   \n",
       "3     Transient  75.0                            0                          0   \n",
       "4     Transient  98.0                            0                          1   \n",
       "\n",
       "  reservation_status reservation_status_date arrival_date  \n",
       "0          Check-Out              2015-07-01   2015-07-01  \n",
       "1          Check-Out              2015-07-01   2015-07-01  \n",
       "2          Check-Out              2015-07-02   2015-07-01  \n",
       "3          Check-Out              2015-07-02   2015-07-01  \n",
       "4          Check-Out              2015-07-03   2015-07-01  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## getting bookin  Arrival date as Date time object \n",
    "\n",
    "df['arrival_date'] = df['arrival_date_year'].astype(str) + '-' + df['arrival_date_month'] + '-' + df['arrival_date_day_of_month'].astype(str)\n",
    "df['arrival_date'] = pd.to_datetime(df['arrival_date'])\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "      <th>arrival_date</th>\n",
       "      <th>arrival_month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-03</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          hotel  is_canceled  lead_time  arrival_date_year arrival_date_month  \\\n",
       "0  Resort Hotel            0        342               2015               July   \n",
       "1  Resort Hotel            0        737               2015               July   \n",
       "2  Resort Hotel            0          7               2015               July   \n",
       "3  Resort Hotel            0         13               2015               July   \n",
       "4  Resort Hotel            0         14               2015               July   \n",
       "\n",
       "   arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "0                        27                          1   \n",
       "1                        27                          1   \n",
       "2                        27                          1   \n",
       "3                        27                          1   \n",
       "4                        27                          1   \n",
       "\n",
       "   stays_in_weekend_nights  stays_in_week_nights  adults  children  babies  \\\n",
       "0                        0                     0       2       0.0       0   \n",
       "1                        0                     0       2       0.0       0   \n",
       "2                        0                     1       1       0.0       0   \n",
       "3                        0                     1       1       0.0       0   \n",
       "4                        0                     2       2       0.0       0   \n",
       "\n",
       "  meal country market_segment distribution_channel  is_repeated_guest  \\\n",
       "0   BB     PRT         Direct               Direct                  0   \n",
       "1   BB     PRT         Direct               Direct                  0   \n",
       "2   BB     GBR         Direct               Direct                  0   \n",
       "3   BB     GBR      Corporate            Corporate                  0   \n",
       "4   BB     GBR      Online TA                TA/TO                  0   \n",
       "\n",
       "   previous_cancellations  previous_bookings_not_canceled reserved_room_type  \\\n",
       "0                       0                               0                  C   \n",
       "1                       0                               0                  C   \n",
       "2                       0                               0                  A   \n",
       "3                       0                               0                  A   \n",
       "4                       0                               0                  A   \n",
       "\n",
       "  assigned_room_type  booking_changes deposit_type  days_in_waiting_list  \\\n",
       "0                  C                3   No Deposit                     0   \n",
       "1                  C                4   No Deposit                     0   \n",
       "2                  C                0   No Deposit                     0   \n",
       "3                  A                0   No Deposit                     0   \n",
       "4                  A                0   No Deposit                     0   \n",
       "\n",
       "  customer_type   adr  required_car_parking_spaces  total_of_special_requests  \\\n",
       "0     Transient   0.0                            0                          0   \n",
       "1     Transient   0.0                            0                          0   \n",
       "2     Transient  75.0                            0                          0   \n",
       "3     Transient  75.0                            0                          0   \n",
       "4     Transient  98.0                            0                          1   \n",
       "\n",
       "  reservation_status reservation_status_date arrival_date  arrival_month  \n",
       "0          Check-Out              2015-07-01   2015-07-01              7  \n",
       "1          Check-Out              2015-07-01   2015-07-01              7  \n",
       "2          Check-Out              2015-07-02   2015-07-01              7  \n",
       "3          Check-Out              2015-07-02   2015-07-01              7  \n",
       "4          Check-Out              2015-07-03   2015-07-01              7  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## getting arrival month \n",
    "\n",
    "df['arrival_month'] = df['arrival_date'].dt.month\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
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       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
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       "      <th>reserved_room_type</th>\n",
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       "      <th>reservation_status_date</th>\n",
       "      <th>arrival_date</th>\n",
       "      <th>arrival_month</th>\n",
       "      <th>arrival_day</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>July</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-03</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          hotel  is_canceled  lead_time  arrival_date_year arrival_date_month  \\\n",
       "0  Resort Hotel            0        342               2015               July   \n",
       "1  Resort Hotel            0        737               2015               July   \n",
       "2  Resort Hotel            0          7               2015               July   \n",
       "3  Resort Hotel            0         13               2015               July   \n",
       "4  Resort Hotel            0         14               2015               July   \n",
       "\n",
       "   arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "0                        27                          1   \n",
       "1                        27                          1   \n",
       "2                        27                          1   \n",
       "3                        27                          1   \n",
       "4                        27                          1   \n",
       "\n",
       "   stays_in_weekend_nights  stays_in_week_nights  adults  children  babies  \\\n",
       "0                        0                     0       2       0.0       0   \n",
       "1                        0                     0       2       0.0       0   \n",
       "2                        0                     1       1       0.0       0   \n",
       "3                        0                     1       1       0.0       0   \n",
       "4                        0                     2       2       0.0       0   \n",
       "\n",
       "  meal country market_segment distribution_channel  is_repeated_guest  \\\n",
       "0   BB     PRT         Direct               Direct                  0   \n",
       "1   BB     PRT         Direct               Direct                  0   \n",
       "2   BB     GBR         Direct               Direct                  0   \n",
       "3   BB     GBR      Corporate            Corporate                  0   \n",
       "4   BB     GBR      Online TA                TA/TO                  0   \n",
       "\n",
       "   previous_cancellations  previous_bookings_not_canceled reserved_room_type  \\\n",
       "0                       0                               0                  C   \n",
       "1                       0                               0                  C   \n",
       "2                       0                               0                  A   \n",
       "3                       0                               0                  A   \n",
       "4                       0                               0                  A   \n",
       "\n",
       "  assigned_room_type  booking_changes deposit_type  days_in_waiting_list  \\\n",
       "0                  C                3   No Deposit                     0   \n",
       "1                  C                4   No Deposit                     0   \n",
       "2                  C                0   No Deposit                     0   \n",
       "3                  A                0   No Deposit                     0   \n",
       "4                  A                0   No Deposit                     0   \n",
       "\n",
       "  customer_type   adr  required_car_parking_spaces  total_of_special_requests  \\\n",
       "0     Transient   0.0                            0                          0   \n",
       "1     Transient   0.0                            0                          0   \n",
       "2     Transient  75.0                            0                          0   \n",
       "3     Transient  75.0                            0                          0   \n",
       "4     Transient  98.0                            0                          1   \n",
       "\n",
       "  reservation_status reservation_status_date arrival_date  arrival_month  \\\n",
       "0          Check-Out              2015-07-01   2015-07-01              7   \n",
       "1          Check-Out              2015-07-01   2015-07-01              7   \n",
       "2          Check-Out              2015-07-02   2015-07-01              7   \n",
       "3          Check-Out              2015-07-02   2015-07-01              7   \n",
       "4          Check-Out              2015-07-03   2015-07-01              7   \n",
       "\n",
       "  arrival_day  \n",
       "0   Wednesday  \n",
       "1   Wednesday  \n",
       "2   Wednesday  \n",
       "3   Wednesday  \n",
       "4   Wednesday  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### getting arrival day\n",
    "\n",
    "df['arrival_day'] = df['arrival_date'].dt.day_name()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "      <th>arrival_date</th>\n",
       "      <th>arrival_month</th>\n",
       "      <th>arrival_day</th>\n",
       "      <th>month_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-03</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          hotel  is_canceled  lead_time  arrival_date_year arrival_date_month  \\\n",
       "0  Resort Hotel            0        342               2015               July   \n",
       "1  Resort Hotel            0        737               2015               July   \n",
       "2  Resort Hotel            0          7               2015               July   \n",
       "3  Resort Hotel            0         13               2015               July   \n",
       "4  Resort Hotel            0         14               2015               July   \n",
       "\n",
       "   arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "0                        27                          1   \n",
       "1                        27                          1   \n",
       "2                        27                          1   \n",
       "3                        27                          1   \n",
       "4                        27                          1   \n",
       "\n",
       "   stays_in_weekend_nights  stays_in_week_nights  adults  children  babies  \\\n",
       "0                        0                     0       2       0.0       0   \n",
       "1                        0                     0       2       0.0       0   \n",
       "2                        0                     1       1       0.0       0   \n",
       "3                        0                     1       1       0.0       0   \n",
       "4                        0                     2       2       0.0       0   \n",
       "\n",
       "  meal country market_segment distribution_channel  is_repeated_guest  \\\n",
       "0   BB     PRT         Direct               Direct                  0   \n",
       "1   BB     PRT         Direct               Direct                  0   \n",
       "2   BB     GBR         Direct               Direct                  0   \n",
       "3   BB     GBR      Corporate            Corporate                  0   \n",
       "4   BB     GBR      Online TA                TA/TO                  0   \n",
       "\n",
       "   previous_cancellations  previous_bookings_not_canceled reserved_room_type  \\\n",
       "0                       0                               0                  C   \n",
       "1                       0                               0                  C   \n",
       "2                       0                               0                  A   \n",
       "3                       0                               0                  A   \n",
       "4                       0                               0                  A   \n",
       "\n",
       "  assigned_room_type  booking_changes deposit_type  days_in_waiting_list  \\\n",
       "0                  C                3   No Deposit                     0   \n",
       "1                  C                4   No Deposit                     0   \n",
       "2                  C                0   No Deposit                     0   \n",
       "3                  A                0   No Deposit                     0   \n",
       "4                  A                0   No Deposit                     0   \n",
       "\n",
       "  customer_type   adr  required_car_parking_spaces  total_of_special_requests  \\\n",
       "0     Transient   0.0                            0                          0   \n",
       "1     Transient   0.0                            0                          0   \n",
       "2     Transient  75.0                            0                          0   \n",
       "3     Transient  75.0                            0                          0   \n",
       "4     Transient  98.0                            0                          1   \n",
       "\n",
       "  reservation_status reservation_status_date arrival_date  arrival_month  \\\n",
       "0          Check-Out              2015-07-01   2015-07-01              7   \n",
       "1          Check-Out              2015-07-01   2015-07-01              7   \n",
       "2          Check-Out              2015-07-02   2015-07-01              7   \n",
       "3          Check-Out              2015-07-02   2015-07-01              7   \n",
       "4          Check-Out              2015-07-03   2015-07-01              7   \n",
       "\n",
       "  arrival_day month_year  \n",
       "0   Wednesday    2015-07  \n",
       "1   Wednesday    2015-07  \n",
       "2   Wednesday    2015-07  \n",
       "3   Wednesday    2015-07  \n",
       "4   Wednesday    2015-07  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['month_year'] = pd.to_datetime(df['arrival_date']).dt.to_period('M')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Total Stays Column\n",
    "\n",
    "getting the total stays column by adding the weekday stays and the weekend stays "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "      <th>arrival_date</th>\n",
       "      <th>arrival_month</th>\n",
       "      <th>arrival_day</th>\n",
       "      <th>month_year</th>\n",
       "      <th>total_stays</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-03</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          hotel  is_canceled  lead_time  arrival_date_year arrival_date_month  \\\n",
       "0  Resort Hotel            0        342               2015               July   \n",
       "1  Resort Hotel            0        737               2015               July   \n",
       "2  Resort Hotel            0          7               2015               July   \n",
       "3  Resort Hotel            0         13               2015               July   \n",
       "4  Resort Hotel            0         14               2015               July   \n",
       "\n",
       "   arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "0                        27                          1   \n",
       "1                        27                          1   \n",
       "2                        27                          1   \n",
       "3                        27                          1   \n",
       "4                        27                          1   \n",
       "\n",
       "   stays_in_weekend_nights  stays_in_week_nights  adults  children  babies  \\\n",
       "0                        0                     0       2       0.0       0   \n",
       "1                        0                     0       2       0.0       0   \n",
       "2                        0                     1       1       0.0       0   \n",
       "3                        0                     1       1       0.0       0   \n",
       "4                        0                     2       2       0.0       0   \n",
       "\n",
       "  meal country market_segment distribution_channel  is_repeated_guest  \\\n",
       "0   BB     PRT         Direct               Direct                  0   \n",
       "1   BB     PRT         Direct               Direct                  0   \n",
       "2   BB     GBR         Direct               Direct                  0   \n",
       "3   BB     GBR      Corporate            Corporate                  0   \n",
       "4   BB     GBR      Online TA                TA/TO                  0   \n",
       "\n",
       "   previous_cancellations  previous_bookings_not_canceled reserved_room_type  \\\n",
       "0                       0                               0                  C   \n",
       "1                       0                               0                  C   \n",
       "2                       0                               0                  A   \n",
       "3                       0                               0                  A   \n",
       "4                       0                               0                  A   \n",
       "\n",
       "  assigned_room_type  booking_changes deposit_type  days_in_waiting_list  \\\n",
       "0                  C                3   No Deposit                     0   \n",
       "1                  C                4   No Deposit                     0   \n",
       "2                  C                0   No Deposit                     0   \n",
       "3                  A                0   No Deposit                     0   \n",
       "4                  A                0   No Deposit                     0   \n",
       "\n",
       "  customer_type   adr  required_car_parking_spaces  total_of_special_requests  \\\n",
       "0     Transient   0.0                            0                          0   \n",
       "1     Transient   0.0                            0                          0   \n",
       "2     Transient  75.0                            0                          0   \n",
       "3     Transient  75.0                            0                          0   \n",
       "4     Transient  98.0                            0                          1   \n",
       "\n",
       "  reservation_status reservation_status_date arrival_date  arrival_month  \\\n",
       "0          Check-Out              2015-07-01   2015-07-01              7   \n",
       "1          Check-Out              2015-07-01   2015-07-01              7   \n",
       "2          Check-Out              2015-07-02   2015-07-01              7   \n",
       "3          Check-Out              2015-07-02   2015-07-01              7   \n",
       "4          Check-Out              2015-07-03   2015-07-01              7   \n",
       "\n",
       "  arrival_day month_year  total_stays  \n",
       "0   Wednesday    2015-07            0  \n",
       "1   Wednesday    2015-07            0  \n",
       "2   Wednesday    2015-07            1  \n",
       "3   Wednesday    2015-07            1  \n",
       "4   Wednesday    2015-07            2  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['total_stays'] = df['stays_in_weekend_nights'] + df['stays_in_week_nights']\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "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>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "      <th>arrival_date</th>\n",
       "      <th>arrival_month</th>\n",
       "      <th>arrival_day</th>\n",
       "      <th>month_year</th>\n",
       "      <th>total_stays</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>111</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>H</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-06</td>\n",
       "      <td>2015-07-06</td>\n",
       "      <td>7</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>28</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>E</td>\n",
       "      <td>H</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-06</td>\n",
       "      <td>2015-07-06</td>\n",
       "      <td>7</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>28</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-07</td>\n",
       "      <td>2015-07-07</td>\n",
       "      <td>7</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115483</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>2017</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>SC</td>\n",
       "      <td>FRA</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient-Party</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2017-07-06</td>\n",
       "      <td>2017-07-06</td>\n",
       "      <td>7</td>\n",
       "      <td>Thursday</td>\n",
       "      <td>2017-07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117701</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>32</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Offline TA/TO</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2017-08-08</td>\n",
       "      <td>2017-08-08</td>\n",
       "      <td>8</td>\n",
       "      <td>Tuesday</td>\n",
       "      <td>2017-08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118029</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>33</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2017-08-14</td>\n",
       "      <td>2017-08-14</td>\n",
       "      <td>8</td>\n",
       "      <td>Monday</td>\n",
       "      <td>2017-08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118631</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>78</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>34</td>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Offline TA/TO</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>K</td>\n",
       "      <td>7</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient-Party</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2017-08-23</td>\n",
       "      <td>2017-08-23</td>\n",
       "      <td>8</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2017-08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118963</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2017-08-27</td>\n",
       "      <td>2017-08-27</td>\n",
       "      <td>8</td>\n",
       "      <td>Sunday</td>\n",
       "      <td>2017-08</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>645 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               hotel  is_canceled  lead_time  arrival_date_year  \\\n",
       "0       Resort Hotel            0        342               2015   \n",
       "1       Resort Hotel            0        737               2015   \n",
       "167     Resort Hotel            0        111               2015   \n",
       "168     Resort Hotel            0          0               2015   \n",
       "196     Resort Hotel            0          8               2015   \n",
       "...              ...          ...        ...                ...   \n",
       "115483    City Hotel            0         15               2017   \n",
       "117701    City Hotel            0          0               2017   \n",
       "118029    City Hotel            0          0               2017   \n",
       "118631    City Hotel            0         78               2017   \n",
       "118963    City Hotel            0          1               2017   \n",
       "\n",
       "       arrival_date_month  arrival_date_week_number  \\\n",
       "0                    July                        27   \n",
       "1                    July                        27   \n",
       "167                  July                        28   \n",
       "168                  July                        28   \n",
       "196                  July                        28   \n",
       "...                   ...                       ...   \n",
       "115483               July                        27   \n",
       "117701             August                        32   \n",
       "118029             August                        33   \n",
       "118631             August                        34   \n",
       "118963             August                        35   \n",
       "\n",
       "        arrival_date_day_of_month  stays_in_weekend_nights  \\\n",
       "0                               1                        0   \n",
       "1                               1                        0   \n",
       "167                             6                        0   \n",
       "168                             6                        0   \n",
       "196                             7                        0   \n",
       "...                           ...                      ...   \n",
       "115483                          6                        0   \n",
       "117701                          8                        0   \n",
       "118029                         14                        0   \n",
       "118631                         23                        0   \n",
       "118963                         27                        0   \n",
       "\n",
       "        stays_in_week_nights  adults  children  babies meal country  \\\n",
       "0                          0       2       0.0       0   BB     PRT   \n",
       "1                          0       2       0.0       0   BB     PRT   \n",
       "167                        0       2       0.0       0   BB     PRT   \n",
       "168                        0       1       0.0       0   BB     PRT   \n",
       "196                        0       2       0.0       0   BB     PRT   \n",
       "...                      ...     ...       ...     ...  ...     ...   \n",
       "115483                     0       1       0.0       0   SC     FRA   \n",
       "117701                     0       2       0.0       0   BB     PRT   \n",
       "118029                     0       2       0.0       0   BB     PRT   \n",
       "118631                     0       1       0.0       0   BB     PRT   \n",
       "118963                     0       2       0.0       0   BB     PRT   \n",
       "\n",
       "       market_segment distribution_channel  is_repeated_guest  \\\n",
       "0              Direct               Direct                  0   \n",
       "1              Direct               Direct                  0   \n",
       "167         Online TA                TA/TO                  0   \n",
       "168            Direct               Direct                  0   \n",
       "196            Direct               Direct                  0   \n",
       "...               ...                  ...                ...   \n",
       "115483         Direct               Direct                  0   \n",
       "117701  Offline TA/TO                TA/TO                  1   \n",
       "118029         Direct               Direct                  1   \n",
       "118631  Offline TA/TO                TA/TO                  0   \n",
       "118963         Direct               Direct                  0   \n",
       "\n",
       "        previous_cancellations  previous_bookings_not_canceled  \\\n",
       "0                            0                               0   \n",
       "1                            0                               0   \n",
       "167                          0                               0   \n",
       "168                          0                               0   \n",
       "196                          0                               0   \n",
       "...                        ...                             ...   \n",
       "115483                       0                               0   \n",
       "117701                       0                               0   \n",
       "118029                       0                               0   \n",
       "118631                       0                               0   \n",
       "118963                       0                               0   \n",
       "\n",
       "       reserved_room_type assigned_room_type  booking_changes deposit_type  \\\n",
       "0                       C                  C                3   No Deposit   \n",
       "1                       C                  C                4   No Deposit   \n",
       "167                     A                  H                0   No Deposit   \n",
       "168                     E                  H                0   No Deposit   \n",
       "196                     A                  A                0   No Deposit   \n",
       "...                   ...                ...              ...          ...   \n",
       "115483                  A                  A                0   No Deposit   \n",
       "117701                  A                  A                0   No Deposit   \n",
       "118029                  A                  A                0   No Deposit   \n",
       "118631                  A                  K                7   No Deposit   \n",
       "118963                  A                  A                0   No Deposit   \n",
       "\n",
       "        days_in_waiting_list    customer_type  adr  \\\n",
       "0                          0        Transient  0.0   \n",
       "1                          0        Transient  0.0   \n",
       "167                        0        Transient  0.0   \n",
       "168                        0        Transient  0.0   \n",
       "196                        0        Transient  0.0   \n",
       "...                      ...              ...  ...   \n",
       "115483                     0  Transient-Party  0.0   \n",
       "117701                     0        Transient  0.0   \n",
       "118029                     0        Transient  0.0   \n",
       "118631                     0  Transient-Party  0.0   \n",
       "118963                     0        Transient  0.0   \n",
       "\n",
       "        required_car_parking_spaces  total_of_special_requests  \\\n",
       "0                                 0                          0   \n",
       "1                                 0                          0   \n",
       "167                               0                          2   \n",
       "168                               0                          0   \n",
       "196                               0                          1   \n",
       "...                             ...                        ...   \n",
       "115483                            0                          0   \n",
       "117701                            0                          0   \n",
       "118029                            0                          0   \n",
       "118631                            0                          0   \n",
       "118963                            0                          0   \n",
       "\n",
       "       reservation_status reservation_status_date arrival_date  arrival_month  \\\n",
       "0               Check-Out              2015-07-01   2015-07-01              7   \n",
       "1               Check-Out              2015-07-01   2015-07-01              7   \n",
       "167             Check-Out              2015-07-06   2015-07-06              7   \n",
       "168             Check-Out              2015-07-06   2015-07-06              7   \n",
       "196             Check-Out              2015-07-07   2015-07-07              7   \n",
       "...                   ...                     ...          ...            ...   \n",
       "115483          Check-Out              2017-07-06   2017-07-06              7   \n",
       "117701          Check-Out              2017-08-08   2017-08-08              8   \n",
       "118029          Check-Out              2017-08-14   2017-08-14              8   \n",
       "118631          Check-Out              2017-08-23   2017-08-23              8   \n",
       "118963          Check-Out              2017-08-27   2017-08-27              8   \n",
       "\n",
       "       arrival_day month_year  total_stays  \n",
       "0        Wednesday    2015-07            0  \n",
       "1        Wednesday    2015-07            0  \n",
       "167         Monday    2015-07            0  \n",
       "168         Monday    2015-07            0  \n",
       "196        Tuesday    2015-07            0  \n",
       "...            ...        ...          ...  \n",
       "115483    Thursday    2017-07            0  \n",
       "117701     Tuesday    2017-08            0  \n",
       "118029      Monday    2017-08            0  \n",
       "118631   Wednesday    2017-08            0  \n",
       "118963      Sunday    2017-08            0  \n",
       "\n",
       "[645 rows x 35 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['total_stays'] == 0]\n",
    "\n",
    "# this is a little randomness of the data as well since you won't be able to make a booking at the arrival date and checkout on \n",
    "# the same day\n",
    "\n",
    "# many OTA (booking.com, traveloka won't allow you to do this however hilton hotel allow you to do this )\n",
    "# so we will keep the data instead of dropping it "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Guest,  Kids & and Children \n",
    "\n",
    "\n",
    "we want to see the total guest of the booking by combining the value of adults children and babies and adding the kids in the booking by combiing the children and the babies, because majority of the bookings sites there's no babies option as well"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "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>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "      <th>arrival_date</th>\n",
       "      <th>arrival_month</th>\n",
       "      <th>arrival_day</th>\n",
       "      <th>month_year</th>\n",
       "      <th>total_stays</th>\n",
       "      <th>guests</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-03</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          hotel  is_canceled  lead_time  arrival_date_year arrival_date_month  \\\n",
       "0  Resort Hotel            0        342               2015               July   \n",
       "1  Resort Hotel            0        737               2015               July   \n",
       "2  Resort Hotel            0          7               2015               July   \n",
       "3  Resort Hotel            0         13               2015               July   \n",
       "4  Resort Hotel            0         14               2015               July   \n",
       "\n",
       "   arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "0                        27                          1   \n",
       "1                        27                          1   \n",
       "2                        27                          1   \n",
       "3                        27                          1   \n",
       "4                        27                          1   \n",
       "\n",
       "   stays_in_weekend_nights  stays_in_week_nights  adults  children  babies  \\\n",
       "0                        0                     0       2       0.0       0   \n",
       "1                        0                     0       2       0.0       0   \n",
       "2                        0                     1       1       0.0       0   \n",
       "3                        0                     1       1       0.0       0   \n",
       "4                        0                     2       2       0.0       0   \n",
       "\n",
       "  meal country market_segment distribution_channel  is_repeated_guest  \\\n",
       "0   BB     PRT         Direct               Direct                  0   \n",
       "1   BB     PRT         Direct               Direct                  0   \n",
       "2   BB     GBR         Direct               Direct                  0   \n",
       "3   BB     GBR      Corporate            Corporate                  0   \n",
       "4   BB     GBR      Online TA                TA/TO                  0   \n",
       "\n",
       "   previous_cancellations  previous_bookings_not_canceled reserved_room_type  \\\n",
       "0                       0                               0                  C   \n",
       "1                       0                               0                  C   \n",
       "2                       0                               0                  A   \n",
       "3                       0                               0                  A   \n",
       "4                       0                               0                  A   \n",
       "\n",
       "  assigned_room_type  booking_changes deposit_type  days_in_waiting_list  \\\n",
       "0                  C                3   No Deposit                     0   \n",
       "1                  C                4   No Deposit                     0   \n",
       "2                  C                0   No Deposit                     0   \n",
       "3                  A                0   No Deposit                     0   \n",
       "4                  A                0   No Deposit                     0   \n",
       "\n",
       "  customer_type   adr  required_car_parking_spaces  total_of_special_requests  \\\n",
       "0     Transient   0.0                            0                          0   \n",
       "1     Transient   0.0                            0                          0   \n",
       "2     Transient  75.0                            0                          0   \n",
       "3     Transient  75.0                            0                          0   \n",
       "4     Transient  98.0                            0                          1   \n",
       "\n",
       "  reservation_status reservation_status_date arrival_date  arrival_month  \\\n",
       "0          Check-Out              2015-07-01   2015-07-01              7   \n",
       "1          Check-Out              2015-07-01   2015-07-01              7   \n",
       "2          Check-Out              2015-07-02   2015-07-01              7   \n",
       "3          Check-Out              2015-07-02   2015-07-01              7   \n",
       "4          Check-Out              2015-07-03   2015-07-01              7   \n",
       "\n",
       "  arrival_day month_year  total_stays  guests  \n",
       "0   Wednesday    2015-07            0     2.0  \n",
       "1   Wednesday    2015-07            0     2.0  \n",
       "2   Wednesday    2015-07            1     1.0  \n",
       "3   Wednesday    2015-07            1     1.0  \n",
       "4   Wednesday    2015-07            2     2.0  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['guests'] = df['adults'] + df['children'] + df['babies']\n",
    "df.head()\n",
    "\n",
    "# total guest of the hotel booking by adding the babies children and babies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "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>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "      <th>arrival_date</th>\n",
       "      <th>arrival_month</th>\n",
       "      <th>arrival_day</th>\n",
       "      <th>month_year</th>\n",
       "      <th>total_stays</th>\n",
       "      <th>guests</th>\n",
       "      <th>kids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-03</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          hotel  is_canceled  lead_time  arrival_date_year arrival_date_month  \\\n",
       "0  Resort Hotel            0        342               2015               July   \n",
       "1  Resort Hotel            0        737               2015               July   \n",
       "2  Resort Hotel            0          7               2015               July   \n",
       "3  Resort Hotel            0         13               2015               July   \n",
       "4  Resort Hotel            0         14               2015               July   \n",
       "\n",
       "   arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "0                        27                          1   \n",
       "1                        27                          1   \n",
       "2                        27                          1   \n",
       "3                        27                          1   \n",
       "4                        27                          1   \n",
       "\n",
       "   stays_in_weekend_nights  stays_in_week_nights  adults  children  babies  \\\n",
       "0                        0                     0       2       0.0       0   \n",
       "1                        0                     0       2       0.0       0   \n",
       "2                        0                     1       1       0.0       0   \n",
       "3                        0                     1       1       0.0       0   \n",
       "4                        0                     2       2       0.0       0   \n",
       "\n",
       "  meal country market_segment distribution_channel  is_repeated_guest  \\\n",
       "0   BB     PRT         Direct               Direct                  0   \n",
       "1   BB     PRT         Direct               Direct                  0   \n",
       "2   BB     GBR         Direct               Direct                  0   \n",
       "3   BB     GBR      Corporate            Corporate                  0   \n",
       "4   BB     GBR      Online TA                TA/TO                  0   \n",
       "\n",
       "   previous_cancellations  previous_bookings_not_canceled reserved_room_type  \\\n",
       "0                       0                               0                  C   \n",
       "1                       0                               0                  C   \n",
       "2                       0                               0                  A   \n",
       "3                       0                               0                  A   \n",
       "4                       0                               0                  A   \n",
       "\n",
       "  assigned_room_type  booking_changes deposit_type  days_in_waiting_list  \\\n",
       "0                  C                3   No Deposit                     0   \n",
       "1                  C                4   No Deposit                     0   \n",
       "2                  C                0   No Deposit                     0   \n",
       "3                  A                0   No Deposit                     0   \n",
       "4                  A                0   No Deposit                     0   \n",
       "\n",
       "  customer_type   adr  required_car_parking_spaces  total_of_special_requests  \\\n",
       "0     Transient   0.0                            0                          0   \n",
       "1     Transient   0.0                            0                          0   \n",
       "2     Transient  75.0                            0                          0   \n",
       "3     Transient  75.0                            0                          0   \n",
       "4     Transient  98.0                            0                          1   \n",
       "\n",
       "  reservation_status reservation_status_date arrival_date  arrival_month  \\\n",
       "0          Check-Out              2015-07-01   2015-07-01              7   \n",
       "1          Check-Out              2015-07-01   2015-07-01              7   \n",
       "2          Check-Out              2015-07-02   2015-07-01              7   \n",
       "3          Check-Out              2015-07-02   2015-07-01              7   \n",
       "4          Check-Out              2015-07-03   2015-07-01              7   \n",
       "\n",
       "  arrival_day month_year  total_stays  guests  kids  \n",
       "0   Wednesday    2015-07            0     2.0   0.0  \n",
       "1   Wednesday    2015-07            0     2.0   0.0  \n",
       "2   Wednesday    2015-07            1     1.0   0.0  \n",
       "3   Wednesday    2015-07            1     1.0   0.0  \n",
       "4   Wednesday    2015-07            2     2.0   0.0  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['kids'] = df['children'] + df['babies']\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Meal Columnn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['BB', 'FB', 'HB', 'SC', 'Undefined'], dtype=object)"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['meal'].unique()\n",
    "\n",
    "# we can see from here that there's an undefined value from the dataset \n",
    "# however from the explanation from the source of the dataset that undifed meal package is same as SC (No Meal Package)\n",
    "# so we will replcae the undefined to SC "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['BB', 'FB', 'HB', 'SC'], dtype=object)"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['meal'] = df['meal'].str.replace('Undefined', 'SC')\n",
    "df['meal'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>stays_in_weekend_nights</th>\n",
       "      <th>stays_in_week_nights</th>\n",
       "      <th>adults</th>\n",
       "      <th>children</th>\n",
       "      <th>babies</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>arrival_month</th>\n",
       "      <th>total_stays</th>\n",
       "      <th>guests</th>\n",
       "      <th>kids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.370753</td>\n",
       "      <td>104.070353</td>\n",
       "      <td>2016.156356</td>\n",
       "      <td>27.164407</td>\n",
       "      <td>15.796781</td>\n",
       "      <td>0.926932</td>\n",
       "      <td>2.499029</td>\n",
       "      <td>1.862689</td>\n",
       "      <td>0.100433</td>\n",
       "      <td>0.007951</td>\n",
       "      <td>0.031542</td>\n",
       "      <td>0.087339</td>\n",
       "      <td>0.137328</td>\n",
       "      <td>0.218507</td>\n",
       "      <td>2.325604</td>\n",
       "      <td>101.964460</td>\n",
       "      <td>0.062655</td>\n",
       "      <td>0.570652</td>\n",
       "      <td>6.552381</td>\n",
       "      <td>3.425961</td>\n",
       "      <td>1.971072</td>\n",
       "      <td>0.108383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.483008</td>\n",
       "      <td>106.891161</td>\n",
       "      <td>0.707743</td>\n",
       "      <td>13.598771</td>\n",
       "      <td>8.781164</td>\n",
       "      <td>0.995235</td>\n",
       "      <td>1.897747</td>\n",
       "      <td>0.570064</td>\n",
       "      <td>0.390219</td>\n",
       "      <td>0.097474</td>\n",
       "      <td>0.174777</td>\n",
       "      <td>0.845700</td>\n",
       "      <td>1.499529</td>\n",
       "      <td>0.638068</td>\n",
       "      <td>17.614343</td>\n",
       "      <td>48.053329</td>\n",
       "      <td>0.245546</td>\n",
       "      <td>0.792403</td>\n",
       "      <td>3.089348</td>\n",
       "      <td>2.541649</td>\n",
       "      <td>0.719446</td>\n",
       "      <td>0.404480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>69.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>160.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>737.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>391.000000</td>\n",
       "      <td>510.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         is_canceled      lead_time  arrival_date_year  \\\n",
       "count  118985.000000  118985.000000      118985.000000   \n",
       "mean        0.370753     104.070353        2016.156356   \n",
       "std         0.483008     106.891161           0.707743   \n",
       "min         0.000000       0.000000        2015.000000   \n",
       "25%         0.000000      18.000000        2016.000000   \n",
       "50%         0.000000      69.000000        2016.000000   \n",
       "75%         1.000000     160.000000        2017.000000   \n",
       "max         1.000000     737.000000        2017.000000   \n",
       "\n",
       "       arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "count             118985.000000              118985.000000   \n",
       "mean                  27.164407                  15.796781   \n",
       "std                   13.598771                   8.781164   \n",
       "min                    1.000000                   1.000000   \n",
       "25%                   16.000000                   8.000000   \n",
       "50%                   28.000000                  16.000000   \n",
       "75%                   38.000000                  23.000000   \n",
       "max                   53.000000                  31.000000   \n",
       "\n",
       "       stays_in_weekend_nights  stays_in_week_nights         adults  \\\n",
       "count            118985.000000         118985.000000  118985.000000   \n",
       "mean                  0.926932              2.499029       1.862689   \n",
       "std                   0.995235              1.897747       0.570064   \n",
       "min                   0.000000              0.000000       1.000000   \n",
       "25%                   0.000000              1.000000       2.000000   \n",
       "50%                   1.000000              2.000000       2.000000   \n",
       "75%                   2.000000              3.000000       2.000000   \n",
       "max                  19.000000             50.000000      55.000000   \n",
       "\n",
       "            children         babies  is_repeated_guest  \\\n",
       "count  118985.000000  118985.000000      118985.000000   \n",
       "mean        0.100433       0.007951           0.031542   \n",
       "std         0.390219       0.097474           0.174777   \n",
       "min         0.000000       0.000000           0.000000   \n",
       "25%         0.000000       0.000000           0.000000   \n",
       "50%         0.000000       0.000000           0.000000   \n",
       "75%         0.000000       0.000000           0.000000   \n",
       "max        10.000000      10.000000           1.000000   \n",
       "\n",
       "       previous_cancellations  previous_bookings_not_canceled  \\\n",
       "count           118985.000000                   118985.000000   \n",
       "mean                 0.087339                        0.137328   \n",
       "std                  0.845700                        1.499529   \n",
       "min                  0.000000                        0.000000   \n",
       "25%                  0.000000                        0.000000   \n",
       "50%                  0.000000                        0.000000   \n",
       "75%                  0.000000                        0.000000   \n",
       "max                 26.000000                       72.000000   \n",
       "\n",
       "       booking_changes  days_in_waiting_list            adr  \\\n",
       "count    118985.000000         118985.000000  118985.000000   \n",
       "mean          0.218507              2.325604     101.964460   \n",
       "std           0.638068             17.614343      48.053329   \n",
       "min           0.000000              0.000000       0.000000   \n",
       "25%           0.000000              0.000000      69.500000   \n",
       "50%           0.000000              0.000000      95.000000   \n",
       "75%           0.000000              0.000000     126.000000   \n",
       "max          18.000000            391.000000     510.000000   \n",
       "\n",
       "       required_car_parking_spaces  total_of_special_requests  arrival_month  \\\n",
       "count                118985.000000              118985.000000  118985.000000   \n",
       "mean                      0.062655                   0.570652       6.552381   \n",
       "std                       0.245546                   0.792403       3.089348   \n",
       "min                       0.000000                   0.000000       1.000000   \n",
       "25%                       0.000000                   0.000000       4.000000   \n",
       "50%                       0.000000                   0.000000       7.000000   \n",
       "75%                       0.000000                   1.000000       9.000000   \n",
       "max                       8.000000                   5.000000      12.000000   \n",
       "\n",
       "         total_stays         guests           kids  \n",
       "count  118985.000000  118985.000000  118985.000000  \n",
       "mean        3.425961       1.971072       0.108383  \n",
       "std         2.541649       0.719446       0.404480  \n",
       "min         0.000000       1.000000       0.000000  \n",
       "25%         2.000000       2.000000       0.000000  \n",
       "50%         3.000000       2.000000       0.000000  \n",
       "75%         4.000000       2.000000       0.000000  \n",
       "max        69.000000      55.000000      10.000000  "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# now lets check all the columns description and all the columns boxplot before we moving on to the exploratory data analysis\n",
    "\n",
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dropping Redundant Column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hotel</th>\n",
       "      <th>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>arrival_date_week_number</th>\n",
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       "      <th>adults</th>\n",
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       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>reservation_status</th>\n",
       "      <th>reservation_status_date</th>\n",
       "      <th>arrival_date</th>\n",
       "      <th>arrival_month</th>\n",
       "      <th>arrival_day</th>\n",
       "      <th>month_year</th>\n",
       "      <th>total_stays</th>\n",
       "      <th>guests</th>\n",
       "      <th>kids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>342</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>737</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>BB</td>\n",
       "      <td>PRT</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Direct</td>\n",
       "      <td>Direct</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>C</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>Corporate</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-02</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Resort Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2015</td>\n",
       "      <td>July</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>BB</td>\n",
       "      <td>GBR</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A</td>\n",
       "      <td>A</td>\n",
       "      <td>0</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>0</td>\n",
       "      <td>Transient</td>\n",
       "      <td>98.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2015-07-03</td>\n",
       "      <td>2015-07-01</td>\n",
       "      <td>7</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>2015-07</td>\n",
       "      <td>2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          hotel  is_canceled  lead_time  arrival_date_year arrival_date_month  \\\n",
       "0  Resort Hotel            0        342               2015               July   \n",
       "1  Resort Hotel            0        737               2015               July   \n",
       "2  Resort Hotel            0          7               2015               July   \n",
       "3  Resort Hotel            0         13               2015               July   \n",
       "4  Resort Hotel            0         14               2015               July   \n",
       "\n",
       "   arrival_date_week_number  arrival_date_day_of_month  adults meal country  \\\n",
       "0                        27                          1       2   BB     PRT   \n",
       "1                        27                          1       2   BB     PRT   \n",
       "2                        27                          1       1   BB     GBR   \n",
       "3                        27                          1       1   BB     GBR   \n",
       "4                        27                          1       2   BB     GBR   \n",
       "\n",
       "  market_segment distribution_channel  is_repeated_guest  \\\n",
       "0         Direct               Direct                  0   \n",
       "1         Direct               Direct                  0   \n",
       "2         Direct               Direct                  0   \n",
       "3      Corporate            Corporate                  0   \n",
       "4      Online TA                TA/TO                  0   \n",
       "\n",
       "   previous_cancellations  previous_bookings_not_canceled reserved_room_type  \\\n",
       "0                       0                               0                  C   \n",
       "1                       0                               0                  C   \n",
       "2                       0                               0                  A   \n",
       "3                       0                               0                  A   \n",
       "4                       0                               0                  A   \n",
       "\n",
       "  assigned_room_type  booking_changes deposit_type  days_in_waiting_list  \\\n",
       "0                  C                3   No Deposit                     0   \n",
       "1                  C                4   No Deposit                     0   \n",
       "2                  C                0   No Deposit                     0   \n",
       "3                  A                0   No Deposit                     0   \n",
       "4                  A                0   No Deposit                     0   \n",
       "\n",
       "  customer_type   adr  required_car_parking_spaces  total_of_special_requests  \\\n",
       "0     Transient   0.0                            0                          0   \n",
       "1     Transient   0.0                            0                          0   \n",
       "2     Transient  75.0                            0                          0   \n",
       "3     Transient  75.0                            0                          0   \n",
       "4     Transient  98.0                            0                          1   \n",
       "\n",
       "  reservation_status reservation_status_date arrival_date  arrival_month  \\\n",
       "0          Check-Out              2015-07-01   2015-07-01              7   \n",
       "1          Check-Out              2015-07-01   2015-07-01              7   \n",
       "2          Check-Out              2015-07-02   2015-07-01              7   \n",
       "3          Check-Out              2015-07-02   2015-07-01              7   \n",
       "4          Check-Out              2015-07-03   2015-07-01              7   \n",
       "\n",
       "  arrival_day month_year  total_stays  guests  kids  \n",
       "0   Wednesday    2015-07            0     2.0   0.0  \n",
       "1   Wednesday    2015-07            0     2.0   0.0  \n",
       "2   Wednesday    2015-07            1     1.0   0.0  \n",
       "3   Wednesday    2015-07            1     1.0   0.0  \n",
       "4   Wednesday    2015-07            2     2.0   0.0  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# since we have columns that that's have almost similar value like children babies, now is combined into kids\n",
    "# stays in weekend nights and stays in week nights now combined into total stays\n",
    "\n",
    "# we will be dropping both columns \n",
    "\n",
    "df = df.drop(columns = ['stays_in_weekend_nights', 'stays_in_week_nights', 'babies', 'children'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Outliers Detection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 18 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (20, 20))\n",
    "x = 1 \n",
    "\n",
    "for column in df.describe().columns:\n",
    "    plt.subplot(8,3,x)\n",
    "    sns.boxplot(df[column])\n",
    "    x+=1\n",
    "    \n",
    "plt.tight_layout()\n",
    "\n",
    "# as we can see that there are still many outliers in many of the columns \n",
    "# we are not going to drop the outliers here as outliers could provide many useful information \n",
    "# we will bin in but and create new column and hopefully we will be able to extract some more information by doing that "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "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>is_canceled</th>\n",
       "      <th>lead_time</th>\n",
       "      <th>arrival_date_year</th>\n",
       "      <th>arrival_date_week_number</th>\n",
       "      <th>arrival_date_day_of_month</th>\n",
       "      <th>adults</th>\n",
       "      <th>is_repeated_guest</th>\n",
       "      <th>previous_cancellations</th>\n",
       "      <th>previous_bookings_not_canceled</th>\n",
       "      <th>booking_changes</th>\n",
       "      <th>days_in_waiting_list</th>\n",
       "      <th>adr</th>\n",
       "      <th>required_car_parking_spaces</th>\n",
       "      <th>total_of_special_requests</th>\n",
       "      <th>arrival_month</th>\n",
       "      <th>total_stays</th>\n",
       "      <th>guests</th>\n",
       "      <th>kids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "      <td>118985.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.370753</td>\n",
       "      <td>104.070353</td>\n",
       "      <td>2016.156356</td>\n",
       "      <td>27.164407</td>\n",
       "      <td>15.796781</td>\n",
       "      <td>1.862689</td>\n",
       "      <td>0.031542</td>\n",
       "      <td>0.087339</td>\n",
       "      <td>0.137328</td>\n",
       "      <td>0.218507</td>\n",
       "      <td>2.325604</td>\n",
       "      <td>101.964460</td>\n",
       "      <td>0.062655</td>\n",
       "      <td>0.570652</td>\n",
       "      <td>6.552381</td>\n",
       "      <td>3.425961</td>\n",
       "      <td>1.971072</td>\n",
       "      <td>0.108383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.483008</td>\n",
       "      <td>106.891161</td>\n",
       "      <td>0.707743</td>\n",
       "      <td>13.598771</td>\n",
       "      <td>8.781164</td>\n",
       "      <td>0.570064</td>\n",
       "      <td>0.174777</td>\n",
       "      <td>0.845700</td>\n",
       "      <td>1.499529</td>\n",
       "      <td>0.638068</td>\n",
       "      <td>17.614343</td>\n",
       "      <td>48.053329</td>\n",
       "      <td>0.245546</td>\n",
       "      <td>0.792403</td>\n",
       "      <td>3.089348</td>\n",
       "      <td>2.541649</td>\n",
       "      <td>0.719446</td>\n",
       "      <td>0.404480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>69.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>160.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>23.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>737.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>72.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>391.000000</td>\n",
       "      <td>510.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>55.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         is_canceled      lead_time  arrival_date_year  \\\n",
       "count  118985.000000  118985.000000      118985.000000   \n",
       "mean        0.370753     104.070353        2016.156356   \n",
       "std         0.483008     106.891161           0.707743   \n",
       "min         0.000000       0.000000        2015.000000   \n",
       "25%         0.000000      18.000000        2016.000000   \n",
       "50%         0.000000      69.000000        2016.000000   \n",
       "75%         1.000000     160.000000        2017.000000   \n",
       "max         1.000000     737.000000        2017.000000   \n",
       "\n",
       "       arrival_date_week_number  arrival_date_day_of_month         adults  \\\n",
       "count             118985.000000              118985.000000  118985.000000   \n",
       "mean                  27.164407                  15.796781       1.862689   \n",
       "std                   13.598771                   8.781164       0.570064   \n",
       "min                    1.000000                   1.000000       1.000000   \n",
       "25%                   16.000000                   8.000000       2.000000   \n",
       "50%                   28.000000                  16.000000       2.000000   \n",
       "75%                   38.000000                  23.000000       2.000000   \n",
       "max                   53.000000                  31.000000      55.000000   \n",
       "\n",
       "       is_repeated_guest  previous_cancellations  \\\n",
       "count      118985.000000           118985.000000   \n",
       "mean            0.031542                0.087339   \n",
       "std             0.174777                0.845700   \n",
       "min             0.000000                0.000000   \n",
       "25%             0.000000                0.000000   \n",
       "50%             0.000000                0.000000   \n",
       "75%             0.000000                0.000000   \n",
       "max             1.000000               26.000000   \n",
       "\n",
       "       previous_bookings_not_canceled  booking_changes  days_in_waiting_list  \\\n",
       "count                   118985.000000    118985.000000         118985.000000   \n",
       "mean                         0.137328         0.218507              2.325604   \n",
       "std                          1.499529         0.638068             17.614343   \n",
       "min                          0.000000         0.000000              0.000000   \n",
       "25%                          0.000000         0.000000              0.000000   \n",
       "50%                          0.000000         0.000000              0.000000   \n",
       "75%                          0.000000         0.000000              0.000000   \n",
       "max                         72.000000        18.000000            391.000000   \n",
       "\n",
       "                 adr  required_car_parking_spaces  total_of_special_requests  \\\n",
       "count  118985.000000                118985.000000              118985.000000   \n",
       "mean      101.964460                     0.062655                   0.570652   \n",
       "std        48.053329                     0.245546                   0.792403   \n",
       "min         0.000000                     0.000000                   0.000000   \n",
       "25%        69.500000                     0.000000                   0.000000   \n",
       "50%        95.000000                     0.000000                   0.000000   \n",
       "75%       126.000000                     0.000000                   1.000000   \n",
       "max       510.000000                     8.000000                   5.000000   \n",
       "\n",
       "       arrival_month    total_stays         guests           kids  \n",
       "count  118985.000000  118985.000000  118985.000000  118985.000000  \n",
       "mean        6.552381       3.425961       1.971072       0.108383  \n",
       "std         3.089348       2.541649       0.719446       0.404480  \n",
       "min         1.000000       0.000000       1.000000       0.000000  \n",
       "25%         4.000000       2.000000       2.000000       0.000000  \n",
       "50%         7.000000       3.000000       2.000000       0.000000  \n",
       "75%         9.000000       4.000000       2.000000       0.000000  \n",
       "max        12.000000      69.000000      55.000000      10.000000  "
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>unique</th>\n",
       "      <th>top</th>\n",
       "      <th>freq</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>hotel</th>\n",
       "      <td>118985</td>\n",
       "      <td>2</td>\n",
       "      <td>City Hotel</td>\n",
       "      <td>78939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arrival_date_month</th>\n",
       "      <td>118985</td>\n",
       "      <td>12</td>\n",
       "      <td>August</td>\n",
       "      <td>13829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>meal</th>\n",
       "      <td>118985</td>\n",
       "      <td>4</td>\n",
       "      <td>BB</td>\n",
       "      <td>92018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>country</th>\n",
       "      <td>118985</td>\n",
       "      <td>177</td>\n",
       "      <td>PRT</td>\n",
       "      <td>48917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>market_segment</th>\n",
       "      <td>118985</td>\n",
       "      <td>8</td>\n",
       "      <td>Online TA</td>\n",
       "      <td>56221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>distribution_channel</th>\n",
       "      <td>118985</td>\n",
       "      <td>5</td>\n",
       "      <td>TA/TO</td>\n",
       "      <td>97559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reserved_room_type</th>\n",
       "      <td>118985</td>\n",
       "      <td>9</td>\n",
       "      <td>A</td>\n",
       "      <td>85861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>assigned_room_type</th>\n",
       "      <td>118985</td>\n",
       "      <td>11</td>\n",
       "      <td>A</td>\n",
       "      <td>73982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>deposit_type</th>\n",
       "      <td>118985</td>\n",
       "      <td>3</td>\n",
       "      <td>No Deposit</td>\n",
       "      <td>104237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customer_type</th>\n",
       "      <td>118985</td>\n",
       "      <td>4</td>\n",
       "      <td>Transient</td>\n",
       "      <td>89336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reservation_status</th>\n",
       "      <td>118985</td>\n",
       "      <td>3</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>74871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reservation_status_date</th>\n",
       "      <td>118985</td>\n",
       "      <td>926</td>\n",
       "      <td>2015-10-21</td>\n",
       "      <td>1460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>arrival_day</th>\n",
       "      <td>118985</td>\n",
       "      <td>7</td>\n",
       "      <td>Friday</td>\n",
       "      <td>19556</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          count unique         top    freq\n",
       "hotel                    118985      2  City Hotel   78939\n",
       "arrival_date_month       118985     12      August   13829\n",
       "meal                     118985      4          BB   92018\n",
       "country                  118985    177         PRT   48917\n",
       "market_segment           118985      8   Online TA   56221\n",
       "distribution_channel     118985      5       TA/TO   97559\n",
       "reserved_room_type       118985      9           A   85861\n",
       "assigned_room_type       118985     11           A   73982\n",
       "deposit_type             118985      3  No Deposit  104237\n",
       "customer_type            118985      4   Transient   89336\n",
       "reservation_status       118985      3   Check-Out   74871\n",
       "reservation_status_date  118985    926  2015-10-21    1460\n",
       "arrival_day              118985      7      Friday   19556"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include = 'O').T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "#since the data has been cleaned it has no more missing value and some randomness to the data we will export this data \n",
    "# and do an exploratory data analysis \n",
    "# towards the data \n",
    "\n",
    "df.to_csv('hotel_cleaned.csv' ,index= False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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