hotel bookings.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 392,
   "id": "b7c82e2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 393,
   "id": "b17659a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv('hotel_booking.csv')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "01cff515",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis and Data cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 394,
   "id": "ec859ecb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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>...</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>name</th>\n",
       "      <th>email</th>\n",
       "      <th>phone-number</th>\n",
       "      <th>credit_card</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>...</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>Ernest Barnes</td>\n",
       "      <td>Ernest.Barnes31@outlook.com</td>\n",
       "      <td>669-792-1661</td>\n",
       "      <td>************4322</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>...</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>Andrea Baker</td>\n",
       "      <td>Andrea_Baker94@aol.com</td>\n",
       "      <td>858-637-6955</td>\n",
       "      <td>************9157</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>...</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>Rebecca Parker</td>\n",
       "      <td>Rebecca_Parker@comcast.net</td>\n",
       "      <td>652-885-2745</td>\n",
       "      <td>************3734</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>...</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>Laura Murray</td>\n",
       "      <td>Laura_M@gmail.com</td>\n",
       "      <td>364-656-8427</td>\n",
       "      <td>************5677</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>...</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>Linda Hines</td>\n",
       "      <td>LHines@verizon.com</td>\n",
       "      <td>713-226-5883</td>\n",
       "      <td>************5498</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 36 columns</p>\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  ...  customer_type  \\\n",
       "0                        0                     0       2  ...      Transient   \n",
       "1                        0                     0       2  ...      Transient   \n",
       "2                        0                     1       1  ...      Transient   \n",
       "3                        0                     1       1  ...      Transient   \n",
       "4                        0                     2       2  ...      Transient   \n",
       "\n",
       "    adr required_car_parking_spaces total_of_special_requests  \\\n",
       "0   0.0                           0                         0   \n",
       "1   0.0                           0                         0   \n",
       "2  75.0                           0                         0   \n",
       "3  75.0                           0                         0   \n",
       "4  98.0                           0                         1   \n",
       "\n",
       "  reservation_status reservation_status_date            name  \\\n",
       "0          Check-Out              2015-07-01   Ernest Barnes   \n",
       "1          Check-Out              2015-07-01    Andrea Baker   \n",
       "2          Check-Out              2015-07-02  Rebecca Parker   \n",
       "3          Check-Out              2015-07-02    Laura Murray   \n",
       "4          Check-Out              2015-07-03     Linda Hines   \n",
       "\n",
       "                         email  phone-number       credit_card  \n",
       "0  Ernest.Barnes31@outlook.com  669-792-1661  ************4322  \n",
       "1       Andrea_Baker94@aol.com  858-637-6955  ************9157  \n",
       "2   Rebecca_Parker@comcast.net  652-885-2745  ************3734  \n",
       "3            Laura_M@gmail.com  364-656-8427  ************5677  \n",
       "4           LHines@verizon.com  713-226-5883  ************5498  \n",
       "\n",
       "[5 rows x 36 columns]"
      ]
     },
     "execution_count": 394,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head() #starting 5 col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 395,
   "id": "b6bac86a",
   "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>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>...</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>name</th>\n",
       "      <th>email</th>\n",
       "      <th>phone-number</th>\n",
       "      <th>credit_card</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>119385</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>23</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>30</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>Transient</td>\n",
       "      <td>96.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2017-09-06</td>\n",
       "      <td>Claudia Johnson</td>\n",
       "      <td>Claudia.J@yahoo.com</td>\n",
       "      <td>403-092-5582</td>\n",
       "      <td>************8647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119386</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>102</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>Transient</td>\n",
       "      <td>225.43</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2017-09-07</td>\n",
       "      <td>Wesley Aguilar</td>\n",
       "      <td>WAguilar@xfinity.com</td>\n",
       "      <td>238-763-0612</td>\n",
       "      <td>************4333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119387</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>Transient</td>\n",
       "      <td>157.71</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2017-09-07</td>\n",
       "      <td>Mary Morales</td>\n",
       "      <td>Mary_Morales@hotmail.com</td>\n",
       "      <td>395-518-4100</td>\n",
       "      <td>************1821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119388</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>109</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>31</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>Transient</td>\n",
       "      <td>104.40</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2017-09-07</td>\n",
       "      <td>Caroline Conley MD</td>\n",
       "      <td>MD_Caroline@comcast.net</td>\n",
       "      <td>531-528-1017</td>\n",
       "      <td>************7860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119389</th>\n",
       "      <td>City Hotel</td>\n",
       "      <td>0</td>\n",
       "      <td>205</td>\n",
       "      <td>2017</td>\n",
       "      <td>August</td>\n",
       "      <td>35</td>\n",
       "      <td>29</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>Transient</td>\n",
       "      <td>151.20</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>Check-Out</td>\n",
       "      <td>2017-09-07</td>\n",
       "      <td>Ariana Michael</td>\n",
       "      <td>Ariana_M@xfinity.com</td>\n",
       "      <td>422-804-6403</td>\n",
       "      <td>************4482</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 36 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             hotel  is_canceled  lead_time  arrival_date_year  \\\n",
       "119385  City Hotel            0         23               2017   \n",
       "119386  City Hotel            0        102               2017   \n",
       "119387  City Hotel            0         34               2017   \n",
       "119388  City Hotel            0        109               2017   \n",
       "119389  City Hotel            0        205               2017   \n",
       "\n",
       "       arrival_date_month  arrival_date_week_number  \\\n",
       "119385             August                        35   \n",
       "119386             August                        35   \n",
       "119387             August                        35   \n",
       "119388             August                        35   \n",
       "119389             August                        35   \n",
       "\n",
       "        arrival_date_day_of_month  stays_in_weekend_nights  \\\n",
       "119385                         30                        2   \n",
       "119386                         31                        2   \n",
       "119387                         31                        2   \n",
       "119388                         31                        2   \n",
       "119389                         29                        2   \n",
       "\n",
       "        stays_in_week_nights  adults  ...  customer_type     adr  \\\n",
       "119385                     5       2  ...      Transient   96.14   \n",
       "119386                     5       3  ...      Transient  225.43   \n",
       "119387                     5       2  ...      Transient  157.71   \n",
       "119388                     5       2  ...      Transient  104.40   \n",
       "119389                     7       2  ...      Transient  151.20   \n",
       "\n",
       "       required_car_parking_spaces total_of_special_requests  \\\n",
       "119385                           0                         0   \n",
       "119386                           0                         2   \n",
       "119387                           0                         4   \n",
       "119388                           0                         0   \n",
       "119389                           0                         2   \n",
       "\n",
       "       reservation_status reservation_status_date                name  \\\n",
       "119385          Check-Out              2017-09-06     Claudia Johnson   \n",
       "119386          Check-Out              2017-09-07      Wesley Aguilar   \n",
       "119387          Check-Out              2017-09-07        Mary Morales   \n",
       "119388          Check-Out              2017-09-07  Caroline Conley MD   \n",
       "119389          Check-Out              2017-09-07      Ariana Michael   \n",
       "\n",
       "                           email  phone-number       credit_card  \n",
       "119385       Claudia.J@yahoo.com  403-092-5582  ************8647  \n",
       "119386      WAguilar@xfinity.com  238-763-0612  ************4333  \n",
       "119387  Mary_Morales@hotmail.com  395-518-4100  ************1821  \n",
       "119388   MD_Caroline@comcast.net  531-528-1017  ************7860  \n",
       "119389      Ariana_M@xfinity.com  422-804-6403  ************4482  \n",
       "\n",
       "[5 rows x 36 columns]"
      ]
     },
     "execution_count": 395,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail() #ending 5 col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 396,
   "id": "a87dc649",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(119390, 36)"
      ]
     },
     "execution_count": 396,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 397,
   "id": "0b5d7fbf",
   "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', 'name', 'email',\n",
       "       'phone-number', 'credit_card'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 397,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 398,
   "id": "d1b04194",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 119390 entries, 0 to 119389\n",
      "Data columns (total 36 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",
      " 32  name                            119390 non-null  object \n",
      " 33  email                           119390 non-null  object \n",
      " 34  phone-number                    119390 non-null  object \n",
      " 35  credit_card                     119390 non-null  object \n",
      "dtypes: float64(4), int64(16), object(16)\n",
      "memory usage: 32.8+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info() #to check the datatypes of the columns\n",
    "#object datatypes are the categorical columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 399,
   "id": "2d5b6c85",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(['name', 'email', 'phone-number', 'credit_card'],axis=1, inplace=True) #to delete the col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 400,
   "id": "57424b13",
   "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": 400,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 401,
   "id": "e03b33f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['reservation_status_date']=pd.to_datetime(df['reservation_status_date']) \n",
    "#to change the datatype of \"reservation_status_date\" from \"objects\" to \"datetime\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 402,
   "id": "004d049f",
   "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  datetime64[ns]\n",
      "dtypes: datetime64[ns](1), float64(4), int64(16), object(11)\n",
      "memory usage: 29.1+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 403,
   "id": "a0bd6a2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
       "      <td>119390.000000</td>\n",
       "      <td>119390.000000</td>\n",
       "      <td>119386.000000</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",
       "      <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",
       "    </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>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": 403,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe() #isme sirf numerical columns hi dikhate h"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 404,
   "id": "b665711d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hotel</th>\n",
       "      <th>arrival_date_month</th>\n",
       "      <th>meal</th>\n",
       "      <th>country</th>\n",
       "      <th>market_segment</th>\n",
       "      <th>distribution_channel</th>\n",
       "      <th>reserved_room_type</th>\n",
       "      <th>assigned_room_type</th>\n",
       "      <th>deposit_type</th>\n",
       "      <th>customer_type</th>\n",
       "      <th>reservation_status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>119390</td>\n",
       "      <td>119390</td>\n",
       "      <td>119390</td>\n",
       "      <td>118902</td>\n",
       "      <td>119390</td>\n",
       "      <td>119390</td>\n",
       "      <td>119390</td>\n",
       "      <td>119390</td>\n",
       "      <td>119390</td>\n",
       "      <td>119390</td>\n",
       "      <td>119390</td>\n",
       "    </tr>\n",
       "    <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",
       "    </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",
       "    </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",
       "    </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  \n",
       "count        119390        119390             119390  \n",
       "unique            3             4                  3  \n",
       "top      No Deposit     Transient          Check-Out  \n",
       "freq         104641         89613              75166  "
      ]
     },
     "execution_count": 404,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include= 'object') #isme sirf \"object\" datatype k overview miljayenge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 405,
   "id": "72ea156e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hotel\n",
      "['Resort Hotel' 'City Hotel']\n",
      "arrival_date_month\n",
      "['July' 'August' 'September' 'October' 'November' 'December' 'January'\n",
      " 'February' 'March' 'April' 'May' 'June']\n",
      "meal\n",
      "['BB' 'FB' 'HB' 'SC' 'Undefined']\n",
      "country\n",
      "['PRT' 'GBR' 'USA' 'ESP' 'IRL' 'FRA' nan 'ROU' 'NOR' 'OMN' 'ARG' 'POL'\n",
      " 'DEU' 'BEL' 'CHE' 'CN' 'GRC' 'ITA' 'NLD' 'DNK' 'RUS' 'SWE' 'AUS' 'EST'\n",
      " 'CZE' 'BRA' 'FIN' 'MOZ' 'BWA' 'LUX' 'SVN' 'ALB' 'IND' 'CHN' 'MEX' 'MAR'\n",
      " 'UKR' 'SMR' 'LVA' 'PRI' 'SRB' 'CHL' 'AUT' 'BLR' 'LTU' 'TUR' 'ZAF' 'AGO'\n",
      " 'ISR' 'CYM' 'ZMB' 'CPV' 'ZWE' 'DZA' 'KOR' 'CRI' 'HUN' 'ARE' 'TUN' 'JAM'\n",
      " 'HRV' 'HKG' 'IRN' 'GEO' 'AND' 'GIB' 'URY' 'JEY' 'CAF' 'CYP' 'COL' 'GGY'\n",
      " 'KWT' 'NGA' 'MDV' 'VEN' 'SVK' 'FJI' 'KAZ' 'PAK' 'IDN' 'LBN' 'PHL' 'SEN'\n",
      " 'SYC' 'AZE' 'BHR' 'NZL' 'THA' 'DOM' 'MKD' 'MYS' 'ARM' 'JPN' 'LKA' 'CUB'\n",
      " 'CMR' 'BIH' 'MUS' 'COM' 'SUR' 'UGA' 'BGR' 'CIV' 'JOR' 'SYR' 'SGP' 'BDI'\n",
      " 'SAU' 'VNM' 'PLW' 'QAT' 'EGY' 'PER' 'MLT' 'MWI' 'ECU' 'MDG' 'ISL' 'UZB'\n",
      " 'NPL' 'BHS' 'MAC' 'TGO' 'TWN' 'DJI' 'STP' 'KNA' 'ETH' 'IRQ' 'HND' 'RWA'\n",
      " 'KHM' 'MCO' 'BGD' 'IMN' 'TJK' 'NIC' 'BEN' 'VGB' 'TZA' 'GAB' 'GHA' 'TMP'\n",
      " 'GLP' 'KEN' 'LIE' 'GNB' 'MNE' 'UMI' 'MYT' 'FRO' 'MMR' 'PAN' 'BFA' 'LBY'\n",
      " 'MLI' 'NAM' 'BOL' 'PRY' 'BRB' 'ABW' 'AIA' 'SLV' 'DMA' 'PYF' 'GUY' 'LCA'\n",
      " 'ATA' 'GTM' 'ASM' 'MRT' 'NCL' 'KIR' 'SDN' 'ATF' 'SLE' 'LAO']\n",
      "market_segment\n",
      "['Direct' 'Corporate' 'Online TA' 'Offline TA/TO' 'Complementary' 'Groups'\n",
      " 'Undefined' 'Aviation']\n",
      "distribution_channel\n",
      "['Direct' 'Corporate' 'TA/TO' 'Undefined' 'GDS']\n",
      "reserved_room_type\n",
      "['C' 'A' 'D' 'E' 'G' 'F' 'H' 'L' 'P' 'B']\n",
      "assigned_room_type\n",
      "['C' 'A' 'D' 'E' 'G' 'F' 'I' 'B' 'H' 'P' 'L' 'K']\n",
      "deposit_type\n",
      "['No Deposit' 'Refundable' 'Non Refund']\n",
      "customer_type\n",
      "['Transient' 'Contract' 'Transient-Party' 'Group']\n",
      "reservation_status\n",
      "['Check-Out' 'Canceled' 'No-Show']\n"
     ]
    }
   ],
   "source": [
    "#to check ki un objects ke categories m kya kya values h\n",
    "for col in df.describe(include='object').columns:\n",
    "    print(col)\n",
    "    print(df[col].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 406,
   "id": "783b3c27",
   "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": 406,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.isnull(df).sum() #to check the count of all the null values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 407,
   "id": "0b361843",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(['agent','company'],axis=1,inplace=True) #remove the entire col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 408,
   "id": "b012b4fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.dropna(inplace= True) #remove the rows which have missing values in its col(country, children)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 409,
   "id": "2cde4006",
   "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": 409,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.isnull(df).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 410,
   "id": "9501d9d1",
   "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>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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "      <td>118898.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.371352</td>\n",
       "      <td>104.311435</td>\n",
       "      <td>2016.157656</td>\n",
       "      <td>27.166555</td>\n",
       "      <td>15.800880</td>\n",
       "      <td>0.928897</td>\n",
       "      <td>2.502145</td>\n",
       "      <td>1.858391</td>\n",
       "      <td>0.104207</td>\n",
       "      <td>0.007948</td>\n",
       "      <td>0.032011</td>\n",
       "      <td>0.087142</td>\n",
       "      <td>0.131634</td>\n",
       "      <td>0.221181</td>\n",
       "      <td>2.330754</td>\n",
       "      <td>102.003243</td>\n",
       "      <td>0.061885</td>\n",
       "      <td>0.571683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.483168</td>\n",
       "      <td>106.903309</td>\n",
       "      <td>0.707459</td>\n",
       "      <td>13.589971</td>\n",
       "      <td>8.780324</td>\n",
       "      <td>0.996216</td>\n",
       "      <td>1.900168</td>\n",
       "      <td>0.578576</td>\n",
       "      <td>0.399172</td>\n",
       "      <td>0.097380</td>\n",
       "      <td>0.176029</td>\n",
       "      <td>0.845869</td>\n",
       "      <td>1.484672</td>\n",
       "      <td>0.652785</td>\n",
       "      <td>17.630452</td>\n",
       "      <td>50.485862</td>\n",
       "      <td>0.244172</td>\n",
       "      <td>0.792678</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>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>0.000000</td>\n",
       "      <td>70.000000</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>0.000000</td>\n",
       "      <td>95.000000</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>161.000000</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",
       "    </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>16.000000</td>\n",
       "      <td>41.000000</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>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  118898.000000  118898.000000      118898.000000   \n",
       "mean        0.371352     104.311435        2016.157656   \n",
       "std         0.483168     106.903309           0.707459   \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     161.000000        2017.000000   \n",
       "max         1.000000     737.000000        2017.000000   \n",
       "\n",
       "       arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "count             118898.000000              118898.000000   \n",
       "mean                  27.166555                  15.800880   \n",
       "std                   13.589971                   8.780324   \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            118898.000000         118898.000000  118898.000000   \n",
       "mean                  0.928897              2.502145       1.858391   \n",
       "std                   0.996216              1.900168       0.578576   \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                  16.000000             41.000000      55.000000   \n",
       "\n",
       "            children         babies  is_repeated_guest  \\\n",
       "count  118898.000000  118898.000000      118898.000000   \n",
       "mean        0.104207       0.007948           0.032011   \n",
       "std         0.399172       0.097380           0.176029   \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           118898.000000                   118898.000000   \n",
       "mean                 0.087142                        0.131634   \n",
       "std                  0.845869                        1.484672   \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    118898.000000         118898.000000  118898.000000   \n",
       "mean          0.221181              2.330754     102.003243   \n",
       "std           0.652785             17.630452      50.485862   \n",
       "min           0.000000              0.000000      -6.380000   \n",
       "25%           0.000000              0.000000      70.000000   \n",
       "50%           0.000000              0.000000      95.000000   \n",
       "75%           0.000000              0.000000     126.000000   \n",
       "max          21.000000            391.000000    5400.000000   \n",
       "\n",
       "       required_car_parking_spaces  total_of_special_requests  \n",
       "count                118898.000000              118898.000000  \n",
       "mean                      0.061885                   0.571683  \n",
       "std                       0.244172                   0.792678  \n",
       "min                       0.000000                   0.000000  \n",
       "25%                       0.000000                   0.000000  \n",
       "50%                       0.000000                   0.000000  \n",
       "75%                       0.000000                   1.000000  \n",
       "max                       8.000000                   5.000000  "
      ]
     },
     "execution_count": 410,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "f538e04a",
   "metadata": {},
   "source": [
    "# removing the outliers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 411,
   "id": "f9b7e04b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 411,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['children'].plot(kind='box') #outliers in children col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 412,
   "id": "5538f1d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=df[df['children']<6] #removing the outlier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 413,
   "id": "d7ab5374",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 413,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['children'].plot(kind='box') #checking after removing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 414,
   "id": "79f43d66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 414,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['babies'].plot(kind='box') #outliers in babies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 415,
   "id": "fe7e0a02",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=df[df['babies']<8] #removing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 416,
   "id": "aa793204",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 416,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['babies'].plot(kind='box') #checking after removing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 417,
   "id": "74b324bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 417,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['adr'].plot(kind='box') #outliers in adr(avg daily rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 418,
   "id": "af2d2741",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=df[df['adr']<5000] #removing value above 5000\n",
    "df=df[df['adr']>0] #removing value below 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 419,
   "id": "e3736f82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 419,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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7RNSAvwWeAFYCvRGxshnPJUm6XrOO3FcDJzPzh5n5M+BlYF2TnkuSdI17mvS4HcBbk66PAr81eYeI2AhsBHjooYeaNIZ0tYi4tfvtvLn9M/OWnkeaLc06cq/3G3TVf+2ZuTszuzOzu729vUljSFfLzNvyI7Vas+I+CiybdL0TON2k55IkXaNZcf8msCIiHo6Ie4H1wIEmPZck6RpNOeeemZcj4k+AfwNqwGBmHm3Gc0mSrtesP6iSmV8CvtSsx5ckTc13qEpSgYy7JBXIuEtSgYy7JBUo7oQ3XETEOeCNVs8hTeF+4MetHkKq48OZWfddoHdE3KU7WUSMZGZ3q+eQboanZSSpQMZdkgpk3KXp7W71ANLN8py7JBXII3dJKpBxl6QCGXepARHxhxHxN62eQ2qUcZdmICKa9smq0kwYdwmIiH+NiCMRcbT6fl8i4o8i4r8j4j+Axybt+7mI+GxEDAM3+e2q0u3hUYc0oT8zz0fEfcA3I+KLwA7gN4GfAMPAtyft/6vAJzLzyu0fVZqeR+7ShD+NiO8CX2fi+38/DXw1M89l5s+Afdfs/4+GXXcy4667XkQ8DnwC+O3MfJSJI/QfADd6E8hY8yeTbp1xl+BDwDuZ+X8R8WvAR4H7gMcj4pcjYj7wVEsnlG6S59wl+DLwxxHxX8AJJk7NnAH+CvhadflbTHzZuzQn+PEDklQgT8tIUoGMuyQVyLhLUoGMuyQVyLhLUoGMuyQVyLhLUoH+HxGs2OYhyKZwAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['adr'].plot(kind='box') #checking after removing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 420,
   "id": "b080825e",
   "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>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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "      <td>116955.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.375768</td>\n",
       "      <td>105.378701</td>\n",
       "      <td>2016.161464</td>\n",
       "      <td>27.138173</td>\n",
       "      <td>15.805156</td>\n",
       "      <td>0.937660</td>\n",
       "      <td>2.522928</td>\n",
       "      <td>1.862443</td>\n",
       "      <td>0.104741</td>\n",
       "      <td>0.007704</td>\n",
       "      <td>0.027959</td>\n",
       "      <td>0.086965</td>\n",
       "      <td>0.119798</td>\n",
       "      <td>0.216476</td>\n",
       "      <td>2.347433</td>\n",
       "      <td>103.649056</td>\n",
       "      <td>0.061998</td>\n",
       "      <td>0.571271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.484323</td>\n",
       "      <td>106.945084</td>\n",
       "      <td>0.706501</td>\n",
       "      <td>13.561081</td>\n",
       "      <td>8.783137</td>\n",
       "      <td>0.993293</td>\n",
       "      <td>1.885466</td>\n",
       "      <td>0.481128</td>\n",
       "      <td>0.399254</td>\n",
       "      <td>0.088792</td>\n",
       "      <td>0.164857</td>\n",
       "      <td>0.850197</td>\n",
       "      <td>1.432453</td>\n",
       "      <td>0.633547</td>\n",
       "      <td>17.712285</td>\n",
       "      <td>46.646932</td>\n",
       "      <td>0.244429</td>\n",
       "      <td>0.791501</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>0.000000</td>\n",
       "      <td>0.260000</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>19.000000</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>71.000000</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>71.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "      <td>27.000000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>162.000000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>709.000000</td>\n",
       "      <td>2017.000000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         is_canceled      lead_time  arrival_date_year  \\\n",
       "count  116955.000000  116955.000000      116955.000000   \n",
       "mean        0.375768     105.378701        2016.161464   \n",
       "std         0.484323     106.945084           0.706501   \n",
       "min         0.000000       0.000000        2015.000000   \n",
       "25%         0.000000      19.000000        2016.000000   \n",
       "50%         0.000000      71.000000        2016.000000   \n",
       "75%         1.000000     162.000000        2017.000000   \n",
       "max         1.000000     709.000000        2017.000000   \n",
       "\n",
       "       arrival_date_week_number  arrival_date_day_of_month  \\\n",
       "count             116955.000000              116955.000000   \n",
       "mean                  27.138173                  15.805156   \n",
       "std                   13.561081                   8.783137   \n",
       "min                    1.000000                   1.000000   \n",
       "25%                   16.000000                   8.000000   \n",
       "50%                   27.000000                  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            116955.000000         116955.000000  116955.000000   \n",
       "mean                  0.937660              2.522928       1.862443   \n",
       "std                   0.993293              1.885466       0.481128   \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                  16.000000             41.000000       4.000000   \n",
       "\n",
       "            children         babies  is_repeated_guest  \\\n",
       "count  116955.000000  116955.000000      116955.000000   \n",
       "mean        0.104741       0.007704           0.027959   \n",
       "std         0.399254       0.088792           0.164857   \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         3.000000       2.000000           1.000000   \n",
       "\n",
       "       previous_cancellations  previous_bookings_not_canceled  \\\n",
       "count           116955.000000                   116955.000000   \n",
       "mean                 0.086965                        0.119798   \n",
       "std                  0.850197                        1.432453   \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    116955.000000         116955.000000  116955.000000   \n",
       "mean          0.216476              2.347433     103.649056   \n",
       "std           0.633547             17.712285      46.646932   \n",
       "min           0.000000              0.000000       0.260000   \n",
       "25%           0.000000              0.000000      71.000000   \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  \n",
       "count                116955.000000              116955.000000  \n",
       "mean                      0.061998                   0.571271  \n",
       "std                       0.244429                   0.791501  \n",
       "min                       0.000000                   0.000000  \n",
       "25%                       0.000000                   0.000000  \n",
       "50%                       0.000000                   0.000000  \n",
       "75%                       0.000000                   1.000000  \n",
       "max                       8.000000                   5.000000  "
      ]
     },
     "execution_count": 420,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "4eba77d1",
   "metadata": {},
   "source": [
    "# Data Analysis and Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 421,
   "id": "4f175313",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    73007\n",
      "1    43948\n",
      "Name: is_canceled, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "count_canceled= df['is_canceled'].value_counts() #to count the total number of not canceled n canceled\n",
    "print(count_canceled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 422,
   "id": "738ac6e6",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    0.624232\n",
      "1    0.375768\n",
      "Name: is_canceled, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "perc_canceled=df['is_canceled'].value_counts(normalize=True) #to find the percentage of cacelation\n",
    "print(perc_canceled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 423,
   "id": "066dff8c",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,4))\n",
    "plt.title(\"Reservation Status Count\")\n",
    "plt.bar(['Not Canceled', 'Canceled'],count_canceled)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 424,
   "id": "07462d71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,4))\n",
    "ax1= sns.countplot(x='hotel',hue='is_canceled',data=df, palette='Blues')\n",
    "ax1.legend(bbox_to_anchor=(1,1))\n",
    "plt.title('Reservation status in different hotels')\n",
    "plt.xlabel('hotel')\n",
    "plt.ylabel('number of reservation')\n",
    "ax1.legend(['Not Canceled', 'Canceled'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 425,
   "id": "e2f41319",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.717058\n",
       "1    0.282942\n",
       "Name: is_canceled, dtype: float64"
      ]
     },
     "execution_count": 425,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to find the % count of tickets canceled in Resort hotels\n",
    "resort_hotel= df[df['hotel']=='Resort Hotel']\n",
    "resort_hotel['is_canceled'].value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 426,
   "id": "0fce5162",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.578048\n",
       "1    0.421952\n",
       "Name: is_canceled, dtype: float64"
      ]
     },
     "execution_count": 426,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to find the % count of tickets canceled in City hotels\n",
    "city_hotel= df[df['hotel']=='City Hotel']\n",
    "city_hotel['is_canceled'].value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 427,
   "id": "2ba03bfa",
   "metadata": {},
   "outputs": [],
   "source": [
    "#to check if there is any affect of price(adr) on the hotels(resort n city)\n",
    "resort_hotel=resort_hotel.groupby('reservation_status_date')['adr'].mean().reset_index()\n",
    "city_hotel= city_hotel.groupby('reservation_status_date')['adr'].mean().reset_index()\n",
    "\n",
    "#you use reset_index() when you want to reset the index of a DataFrame after performing a groupby operation\n",
    "#that introduces a new index. If the groupby operation doesn't introduce a new index or if you're fine with the index\n",
    "#being the result of the aggregation, then you may not need to use reset_index()."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 442,
   "id": "17b5ba83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,8))\n",
    "plt.title('Average Daily Rate in City and Resort hotel', fontsize=25)\n",
    "plt.plot(resort_hotel.index, resort_hotel['adr'], label='Resort Hotel')\n",
    "plt.plot(city_hotel.index, city_hotel['adr'], label='City Hotel')\n",
    "plt.legend(fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 447,
   "id": "c9a7a05a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['month']=df['reservation_status_date'].dt.month\n",
    "plt.figure(figsize=(16,8))\n",
    "ax1=sns.countplot(x='month', hue='is_canceled', data=df)\n",
    "ax1.legend(bbox_to_anchor=(1,1))\n",
    "plt.legend(['Not canceled', 'Canceled'], fontsize= 20)\n",
    "plt.title('Reservation Status per Month', fontsize=25)\n",
    "plt.xlabel('month', fontsize= 15)\n",
    "plt.ylabel('number of reservations', fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 454,
   "id": "877c8783",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,8))\n",
    "plt.title('ADR per Month', fontsize=25)\n",
    "sns.barplot(x='month', y='adr', data=df[df['is_canceled']==1].groupby('month')['adr'].sum().reset_index())\n",
    "plt.xlabel('month', fontsize=15)\n",
    "plt.ylabel('adr', fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 457,
   "id": "85ded1c9",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 396x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "canceled_data= df[df['is_canceled']==1]\n",
    "top_10_countries=canceled_data['country'].value_counts()[:10]\n",
    "plt.figure(figsize=(5.5,5.5))\n",
    "plt.title('Top 10 countries with Reservation Canceled', fontsize=20)\n",
    "plt.pie(top_10_countries, autopct='%.2f', labels=top_10_countries.index)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 432,
   "id": "6d2c8435",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Online TA        56035\n",
       "Offline TA/TO    23828\n",
       "Groups           19554\n",
       "Direct           12210\n",
       "Corporate         5034\n",
       "Aviation           231\n",
       "Complementary       63\n",
       "Name: market_segment, dtype: int64"
      ]
     },
     "execution_count": 432,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['market_segment'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 433,
   "id": "182974fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Online TA        0.479116\n",
       "Offline TA/TO    0.203736\n",
       "Groups           0.167193\n",
       "Direct           0.104399\n",
       "Corporate        0.043042\n",
       "Aviation         0.001975\n",
       "Complementary    0.000539\n",
       "Name: market_segment, dtype: float64"
      ]
     },
     "execution_count": 433,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['market_segment'].value_counts(normalize= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 434,
   "id": "12af43f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Online TA        0.471421\n",
       "Groups           0.274711\n",
       "Offline TA/TO    0.187449\n",
       "Direct           0.042983\n",
       "Corporate        0.022163\n",
       "Aviation         0.001160\n",
       "Complementary    0.000114\n",
       "Name: market_segment, dtype: float64"
      ]
     },
     "execution_count": 434,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "canceled_data['market_segment'].value_counts(normalize= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 459,
   "id": "0d9217fa",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1008x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "canceled_data_adr= canceled_data.groupby('reservation_status_date')[['adr']].mean()\n",
    "canceled_data_adr.reset_index(inplace= True)\n",
    "canceled_data_adr.sort_values('reservation_status_date', inplace= True)\n",
    "\n",
    "not_canceled_data= df[df['is_canceled']==0]\n",
    "not_canceled_data_adr= not_canceled_data.groupby('reservation_status_date')[['adr']].mean()\n",
    "not_canceled_data_adr.reset_index(inplace= True)\n",
    "not_canceled_data_adr.sort_values('reservation_status_date', inplace= True)\n",
    "\n",
    "plt.figure(figsize=(14,6))\n",
    "plt.title('Average Daily Rate', fontsize=25)\n",
    "plt.plot(not_canceled_data_adr['reservation_status_date'], not_canceled_data_adr['adr'], label= 'not canceled')\n",
    "plt.plot(canceled_data_adr['reservation_status_date'], canceled_data_adr['adr'], label='canceled')\n",
    "plt.legend(fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 463,
   "id": "74de802b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "canceled_data_adr= canceled_data_adr[(canceled_data_adr['reservation_status_date']>'2015-09') & (canceled_data_adr['reservation_status_date']<'2017-09')]\n",
    "not_canceled_data_adr= not_canceled_data_adr[(not_canceled_data_adr['reservation_status_date']>'2015-09') & (not_canceled_data_adr['reservation_status_date']<'2017-09')]\n",
    "\n",
    "plt.figure(figsize=(16,5))\n",
    "plt.title('Average Daily Rate', fontsize= 20)\n",
    "plt.plot(not_canceled_data_adr['reservation_status_date'], not_canceled_data_adr['adr'], label= 'not canceled')\n",
    "plt.plot(canceled_data_adr['reservation_status_date'], canceled_data_adr['adr'], label='canceled')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}