capstone_hotel_booking_EDA.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "capstone hotel booking EDA.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/SRIST1608/EDA-Hotel-Booking-Analysis/blob/main/capstone_hotel_booking_EDA.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**This project contains the real world data record of hotel bookings of a city and a resort hotel containing details like bookings,cancellations, guest details etc.**\n",
        "**Main aim of the project is to understand and visualize dataset from hotel and customer point of  view.**\n",
        "\n",
        "**1 Reasons for booking cancellations across various parameters**\n",
        "**2 best time to book hotel**\n",
        "**3 peak season**"
      ],
      "metadata": {
        "id": "iko5Xkzm69Gt"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Loading all important Libraries**"
      ],
      "metadata": {
        "id": "u0a48XqtBv8t"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        ""
      ],
      "metadata": {
        "id": "IcS3k6D_B-TN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "%matplotlib inline\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import numpy as np\n",
        "from scipy.stats import norm\n",
        "from sklearn.preprocessing import StandardScaler\n",
        "from scipy import stats\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ],
      "metadata": {
        "id": "8OGmoVqD6_IA"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Connecting to the google drive\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UeNfP2Fv817f",
        "outputId": "145bd890-4ceb-427a-e33e-28b21de68a20"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Reading the data from the drive\n",
        "Booking_df=pd.read_csv('/content/drive/MyDrive/AlmaBetter/capstone project 1/Copy of Hotel Bookings.csv')"
      ],
      "metadata": {
        "id": "cCoohcYO90Ft"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Data inspection**"
      ],
      "metadata": {
        "id": "mC9I1pxdDXBB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "id": "ZFHDfTdTBRaV",
        "outputId": "19306024-5acf-4c6b-a094-925bee880f75"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "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  ...  deposit_type  \\\n",
              "0                        0                     0       2  ...    No Deposit   \n",
              "1                        0                     0       2  ...    No Deposit   \n",
              "2                        0                     1       1  ...    No Deposit   \n",
              "3                        0                     1       1  ...    No Deposit   \n",
              "4                        0                     2       2  ...    No Deposit   \n",
              "\n",
              "   agent company days_in_waiting_list customer_type   adr  \\\n",
              "0    NaN     NaN                    0     Transient   0.0   \n",
              "1    NaN     NaN                    0     Transient   0.0   \n",
              "2    NaN     NaN                    0     Transient  75.0   \n",
              "3  304.0     NaN                    0     Transient  75.0   \n",
              "4  240.0     NaN                    0     Transient  98.0   \n",
              "\n",
              "   required_car_parking_spaces  total_of_special_requests  reservation_status  \\\n",
              "0                            0                          0           Check-Out   \n",
              "1                            0                          0           Check-Out   \n",
              "2                            0                          0           Check-Out   \n",
              "3                            0                          0           Check-Out   \n",
              "4                            0                          1           Check-Out   \n",
              "\n",
              "  reservation_status_date  \n",
              "0              2015-07-01  \n",
              "1              2015-07-01  \n",
              "2              2015-07-02  \n",
              "3              2015-07-02  \n",
              "4              2015-07-03  \n",
              "\n",
              "[5 rows x 32 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-f9ee2cbc-3cd2-47c3-83f0-4388b3dc8cc7\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>hotel</th>\n",
              "      <th>is_canceled</th>\n",
              "      <th>lead_time</th>\n",
              "      <th>arrival_date_year</th>\n",
              "      <th>arrival_date_month</th>\n",
              "      <th>arrival_date_week_number</th>\n",
              "      <th>arrival_date_day_of_month</th>\n",
              "      <th>stays_in_weekend_nights</th>\n",
              "      <th>stays_in_week_nights</th>\n",
              "      <th>adults</th>\n",
              "      <th>...</th>\n",
              "      <th>deposit_type</th>\n",
              "      <th>agent</th>\n",
              "      <th>company</th>\n",
              "      <th>days_in_waiting_list</th>\n",
              "      <th>customer_type</th>\n",
              "      <th>adr</th>\n",
              "      <th>required_car_parking_spaces</th>\n",
              "      <th>total_of_special_requests</th>\n",
              "      <th>reservation_status</th>\n",
              "      <th>reservation_status_date</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Resort Hotel</td>\n",
              "      <td>0</td>\n",
              "      <td>342</td>\n",
              "      <td>2015</td>\n",
              "      <td>July</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>No Deposit</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>Transient</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Check-Out</td>\n",
              "      <td>2015-07-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Resort Hotel</td>\n",
              "      <td>0</td>\n",
              "      <td>737</td>\n",
              "      <td>2015</td>\n",
              "      <td>July</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>No Deposit</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>Transient</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Check-Out</td>\n",
              "      <td>2015-07-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Resort Hotel</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>2015</td>\n",
              "      <td>July</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>No Deposit</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>Transient</td>\n",
              "      <td>75.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Check-Out</td>\n",
              "      <td>2015-07-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Resort Hotel</td>\n",
              "      <td>0</td>\n",
              "      <td>13</td>\n",
              "      <td>2015</td>\n",
              "      <td>July</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>...</td>\n",
              "      <td>No Deposit</td>\n",
              "      <td>304.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>Transient</td>\n",
              "      <td>75.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Check-Out</td>\n",
              "      <td>2015-07-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Resort Hotel</td>\n",
              "      <td>0</td>\n",
              "      <td>14</td>\n",
              "      <td>2015</td>\n",
              "      <td>July</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>...</td>\n",
              "      <td>No Deposit</td>\n",
              "      <td>240.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>Transient</td>\n",
              "      <td>98.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Check-Out</td>\n",
              "      <td>2015-07-03</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 32 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f9ee2cbc-3cd2-47c3-83f0-4388b3dc8cc7')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-f9ee2cbc-3cd2-47c3-83f0-4388b3dc8cc7 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f9ee2cbc-3cd2-47c3-83f0-4388b3dc8cc7');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df.tail()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        },
        "id": "VG0lyq_CKy1y",
        "outputId": "1691f5bc-e634-4b90-ec1a-56e9897f313c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "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  ...  deposit_type  agent company  \\\n",
              "119385                     5       2  ...    No Deposit  394.0     NaN   \n",
              "119386                     5       3  ...    No Deposit    9.0     NaN   \n",
              "119387                     5       2  ...    No Deposit    9.0     NaN   \n",
              "119388                     5       2  ...    No Deposit   89.0     NaN   \n",
              "119389                     7       2  ...    No Deposit    9.0     NaN   \n",
              "\n",
              "       days_in_waiting_list customer_type     adr  \\\n",
              "119385                    0     Transient   96.14   \n",
              "119386                    0     Transient  225.43   \n",
              "119387                    0     Transient  157.71   \n",
              "119388                    0     Transient  104.40   \n",
              "119389                    0     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  \n",
              "119385           Check-Out              2017-09-06  \n",
              "119386           Check-Out              2017-09-07  \n",
              "119387           Check-Out              2017-09-07  \n",
              "119388           Check-Out              2017-09-07  \n",
              "119389           Check-Out              2017-09-07  \n",
              "\n",
              "[5 rows x 32 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-2b870099-4be2-4425-89ec-ccbf8996fb92\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>hotel</th>\n",
              "      <th>is_canceled</th>\n",
              "      <th>lead_time</th>\n",
              "      <th>arrival_date_year</th>\n",
              "      <th>arrival_date_month</th>\n",
              "      <th>arrival_date_week_number</th>\n",
              "      <th>arrival_date_day_of_month</th>\n",
              "      <th>stays_in_weekend_nights</th>\n",
              "      <th>stays_in_week_nights</th>\n",
              "      <th>adults</th>\n",
              "      <th>...</th>\n",
              "      <th>deposit_type</th>\n",
              "      <th>agent</th>\n",
              "      <th>company</th>\n",
              "      <th>days_in_waiting_list</th>\n",
              "      <th>customer_type</th>\n",
              "      <th>adr</th>\n",
              "      <th>required_car_parking_spaces</th>\n",
              "      <th>total_of_special_requests</th>\n",
              "      <th>reservation_status</th>\n",
              "      <th>reservation_status_date</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>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>No Deposit</td>\n",
              "      <td>394.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</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",
              "    </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>No Deposit</td>\n",
              "      <td>9.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</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",
              "    </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>No Deposit</td>\n",
              "      <td>9.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</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",
              "    </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>No Deposit</td>\n",
              "      <td>89.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</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",
              "    </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>No Deposit</td>\n",
              "      <td>9.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</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",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 32 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-2b870099-4be2-4425-89ec-ccbf8996fb92')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-2b870099-4be2-4425-89ec-ccbf8996fb92 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-2b870099-4be2-4425-89ec-ccbf8996fb92');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hULSwtuHBX4h",
        "outputId": "a3038353-2b1c-4dbf-c385-19848fdcbde0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(119390, 32)"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DcD-feSfDwbz",
        "outputId": "b470374f-fc4c-450d-c037-f98abcc0923b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 119390 entries, 0 to 119389\n",
            "Data columns (total 32 columns):\n",
            " #   Column                          Non-Null Count   Dtype  \n",
            "---  ------                          --------------   -----  \n",
            " 0   hotel                           119390 non-null  object \n",
            " 1   is_canceled                     119390 non-null  int64  \n",
            " 2   lead_time                       119390 non-null  int64  \n",
            " 3   arrival_date_year               119390 non-null  int64  \n",
            " 4   arrival_date_month              119390 non-null  object \n",
            " 5   arrival_date_week_number        119390 non-null  int64  \n",
            " 6   arrival_date_day_of_month       119390 non-null  int64  \n",
            " 7   stays_in_weekend_nights         119390 non-null  int64  \n",
            " 8   stays_in_week_nights            119390 non-null  int64  \n",
            " 9   adults                          119390 non-null  int64  \n",
            " 10  children                        119386 non-null  float64\n",
            " 11  babies                          119390 non-null  int64  \n",
            " 12  meal                            119390 non-null  object \n",
            " 13  country                         118902 non-null  object \n",
            " 14  market_segment                  119390 non-null  object \n",
            " 15  distribution_channel            119390 non-null  object \n",
            " 16  is_repeated_guest               119390 non-null  int64  \n",
            " 17  previous_cancellations          119390 non-null  int64  \n",
            " 18  previous_bookings_not_canceled  119390 non-null  int64  \n",
            " 19  reserved_room_type              119390 non-null  object \n",
            " 20  assigned_room_type              119390 non-null  object \n",
            " 21  booking_changes                 119390 non-null  int64  \n",
            " 22  deposit_type                    119390 non-null  object \n",
            " 23  agent                           103050 non-null  float64\n",
            " 24  company                         6797 non-null    float64\n",
            " 25  days_in_waiting_list            119390 non-null  int64  \n",
            " 26  customer_type                   119390 non-null  object \n",
            " 27  adr                             119390 non-null  float64\n",
            " 28  required_car_parking_spaces     119390 non-null  int64  \n",
            " 29  total_of_special_requests       119390 non-null  int64  \n",
            " 30  reservation_status              119390 non-null  object \n",
            " 31  reservation_status_date         119390 non-null  object \n",
            "dtypes: float64(4), int64(16), object(12)\n",
            "memory usage: 29.1+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df.describe(include='all')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 505
        },
        "id": "WU6GR7psD7TK",
        "outputId": "ca42d8ac-f49a-4de4-ad55-bb268ce79b7b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             hotel    is_canceled      lead_time  arrival_date_year  \\\n",
              "count       119390  119390.000000  119390.000000      119390.000000   \n",
              "unique           2            NaN            NaN                NaN   \n",
              "top     City Hotel            NaN            NaN                NaN   \n",
              "freq         79330            NaN            NaN                NaN   \n",
              "mean           NaN       0.370416     104.011416        2016.156554   \n",
              "std            NaN       0.482918     106.863097           0.707476   \n",
              "min            NaN       0.000000       0.000000        2015.000000   \n",
              "25%            NaN       0.000000      18.000000        2016.000000   \n",
              "50%            NaN       0.000000      69.000000        2016.000000   \n",
              "75%            NaN       1.000000     160.000000        2017.000000   \n",
              "max            NaN       1.000000     737.000000        2017.000000   \n",
              "\n",
              "       arrival_date_month  arrival_date_week_number  \\\n",
              "count              119390             119390.000000   \n",
              "unique                 12                       NaN   \n",
              "top                August                       NaN   \n",
              "freq                13877                       NaN   \n",
              "mean                  NaN                 27.165173   \n",
              "std                   NaN                 13.605138   \n",
              "min                   NaN                  1.000000   \n",
              "25%                   NaN                 16.000000   \n",
              "50%                   NaN                 28.000000   \n",
              "75%                   NaN                 38.000000   \n",
              "max                   NaN                 53.000000   \n",
              "\n",
              "        arrival_date_day_of_month  stays_in_weekend_nights  \\\n",
              "count               119390.000000            119390.000000   \n",
              "unique                        NaN                      NaN   \n",
              "top                           NaN                      NaN   \n",
              "freq                          NaN                      NaN   \n",
              "mean                    15.798241                 0.927599   \n",
              "std                      8.780829                 0.998613   \n",
              "min                      1.000000                 0.000000   \n",
              "25%                      8.000000                 0.000000   \n",
              "50%                     16.000000                 1.000000   \n",
              "75%                     23.000000                 2.000000   \n",
              "max                     31.000000                19.000000   \n",
              "\n",
              "        stays_in_week_nights         adults  ...  deposit_type          agent  \\\n",
              "count          119390.000000  119390.000000  ...        119390  103050.000000   \n",
              "unique                   NaN            NaN  ...             3            NaN   \n",
              "top                      NaN            NaN  ...    No Deposit            NaN   \n",
              "freq                     NaN            NaN  ...        104641            NaN   \n",
              "mean                2.500302       1.856403  ...           NaN      86.693382   \n",
              "std                 1.908286       0.579261  ...           NaN     110.774548   \n",
              "min                 0.000000       0.000000  ...           NaN       1.000000   \n",
              "25%                 1.000000       2.000000  ...           NaN       9.000000   \n",
              "50%                 2.000000       2.000000  ...           NaN      14.000000   \n",
              "75%                 3.000000       2.000000  ...           NaN     229.000000   \n",
              "max                50.000000      55.000000  ...           NaN     535.000000   \n",
              "\n",
              "            company days_in_waiting_list customer_type            adr  \\\n",
              "count   6797.000000        119390.000000        119390  119390.000000   \n",
              "unique          NaN                  NaN             4            NaN   \n",
              "top             NaN                  NaN     Transient            NaN   \n",
              "freq            NaN                  NaN         89613            NaN   \n",
              "mean     189.266735             2.321149           NaN     101.831122   \n",
              "std      131.655015            17.594721           NaN      50.535790   \n",
              "min        6.000000             0.000000           NaN      -6.380000   \n",
              "25%       62.000000             0.000000           NaN      69.290000   \n",
              "50%      179.000000             0.000000           NaN      94.575000   \n",
              "75%      270.000000             0.000000           NaN     126.000000   \n",
              "max      543.000000           391.000000           NaN    5400.000000   \n",
              "\n",
              "        required_car_parking_spaces  total_of_special_requests  \\\n",
              "count                 119390.000000              119390.000000   \n",
              "unique                          NaN                        NaN   \n",
              "top                             NaN                        NaN   \n",
              "freq                            NaN                        NaN   \n",
              "mean                       0.062518                   0.571363   \n",
              "std                        0.245291                   0.792798   \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   \n",
              "\n",
              "        reservation_status reservation_status_date  \n",
              "count               119390                  119390  \n",
              "unique                   3                     926  \n",
              "top              Check-Out              2015-10-21  \n",
              "freq                 75166                    1461  \n",
              "mean                   NaN                     NaN  \n",
              "std                    NaN                     NaN  \n",
              "min                    NaN                     NaN  \n",
              "25%                    NaN                     NaN  \n",
              "50%                    NaN                     NaN  \n",
              "75%                    NaN                     NaN  \n",
              "max                    NaN                     NaN  \n",
              "\n",
              "[11 rows x 32 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8f7574b1-39dd-4a9c-acf2-a98b8627c8e6\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>hotel</th>\n",
              "      <th>is_canceled</th>\n",
              "      <th>lead_time</th>\n",
              "      <th>arrival_date_year</th>\n",
              "      <th>arrival_date_month</th>\n",
              "      <th>arrival_date_week_number</th>\n",
              "      <th>arrival_date_day_of_month</th>\n",
              "      <th>stays_in_weekend_nights</th>\n",
              "      <th>stays_in_week_nights</th>\n",
              "      <th>adults</th>\n",
              "      <th>...</th>\n",
              "      <th>deposit_type</th>\n",
              "      <th>agent</th>\n",
              "      <th>company</th>\n",
              "      <th>days_in_waiting_list</th>\n",
              "      <th>customer_type</th>\n",
              "      <th>adr</th>\n",
              "      <th>required_car_parking_spaces</th>\n",
              "      <th>total_of_special_requests</th>\n",
              "      <th>reservation_status</th>\n",
              "      <th>reservation_status_date</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>119390</td>\n",
              "      <td>119390.000000</td>\n",
              "      <td>119390.000000</td>\n",
              "      <td>119390.000000</td>\n",
              "      <td>119390</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>...</td>\n",
              "      <td>119390</td>\n",
              "      <td>103050.000000</td>\n",
              "      <td>6797.000000</td>\n",
              "      <td>119390.000000</td>\n",
              "      <td>119390</td>\n",
              "      <td>119390.000000</td>\n",
              "      <td>119390.000000</td>\n",
              "      <td>119390.000000</td>\n",
              "      <td>119390</td>\n",
              "      <td>119390</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>unique</th>\n",
              "      <td>2</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>12</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>3</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>4</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>3</td>\n",
              "      <td>926</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>top</th>\n",
              "      <td>City Hotel</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>August</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>No Deposit</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Transient</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Check-Out</td>\n",
              "      <td>2015-10-21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freq</th>\n",
              "      <td>79330</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>13877</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>104641</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>89613</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>75166</td>\n",
              "      <td>1461</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>NaN</td>\n",
              "      <td>0.370416</td>\n",
              "      <td>104.011416</td>\n",
              "      <td>2016.156554</td>\n",
              "      <td>NaN</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>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>86.693382</td>\n",
              "      <td>189.266735</td>\n",
              "      <td>2.321149</td>\n",
              "      <td>NaN</td>\n",
              "      <td>101.831122</td>\n",
              "      <td>0.062518</td>\n",
              "      <td>0.571363</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>NaN</td>\n",
              "      <td>0.482918</td>\n",
              "      <td>106.863097</td>\n",
              "      <td>0.707476</td>\n",
              "      <td>NaN</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>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>110.774548</td>\n",
              "      <td>131.655015</td>\n",
              "      <td>17.594721</td>\n",
              "      <td>NaN</td>\n",
              "      <td>50.535790</td>\n",
              "      <td>0.245291</td>\n",
              "      <td>0.792798</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>2015.000000</td>\n",
              "      <td>NaN</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>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>6.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>-6.380000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>2016.000000</td>\n",
              "      <td>NaN</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>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>62.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>69.290000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>NaN</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>69.000000</td>\n",
              "      <td>2016.000000</td>\n",
              "      <td>NaN</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>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>14.000000</td>\n",
              "      <td>179.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>94.575000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>160.000000</td>\n",
              "      <td>2017.000000</td>\n",
              "      <td>NaN</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>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>229.000000</td>\n",
              "      <td>270.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>126.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>NaN</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>737.000000</td>\n",
              "      <td>2017.000000</td>\n",
              "      <td>NaN</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>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>535.000000</td>\n",
              "      <td>543.000000</td>\n",
              "      <td>391.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>5400.000000</td>\n",
              "      <td>8.000000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>11 rows × 32 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-8f7574b1-39dd-4a9c-acf2-a98b8627c8e6')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-8f7574b1-39dd-4a9c-acf2-a98b8627c8e6 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-8f7574b1-39dd-4a9c-acf2-a98b8627c8e6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Thought Processing of Problem**\n"
      ],
      "metadata": {
        "id": "D6IhFmoXE0aM"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Which are the variable which plays important role"
      ],
      "metadata": {
        "id": "meN4PC0mE-Cl"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Analyse different dataset to get a brief of hotel booking"
      ],
      "metadata": {
        "id": "3IqUDJ4VFFRJ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Handling Missing Data**"
      ],
      "metadata": {
        "id": "twHSx8BdGfiB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Missing Value Count Function\n",
        "def show_missing():\n",
        "    missing = Booking_df.columns[Booking_df.isnull().any()].tolist()\n",
        "    return missing\n",
        "\n",
        "# Missing data counts and percentage\n",
        "print('Missing Data Count')\n",
        "print(Booking_df[show_missing()].isnull().sum().sort_values(ascending = False))\n",
        "print('--'*50)\n",
        "print('Missing Data Percentage')\n",
        "print(round(Booking_df[show_missing()].isnull().sum().sort_values(ascending = False)/len(Booking_df)*100,2))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ydv_d3DTELFM",
        "outputId": "eec49383-fcf9-4f4d-c4a0-274f0cf45ae6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Missing Data Count\n",
            "company     112593\n",
            "agent        16340\n",
            "country        488\n",
            "children         4\n",
            "dtype: int64\n",
            "----------------------------------------------------------------------------------------------------\n",
            "Missing Data Percentage\n",
            "company     94.31\n",
            "agent       13.69\n",
            "country      0.41\n",
            "children     0.00\n",
            "dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# plotting the data with respect to analyse null values in the data\n",
        "fig, ax = plt.subplots(figsize=(12,5))\n",
        "sns.heatmap(Booking_df.isnull(), cbar=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 496
        },
        "id": "cVUZeltOHiYS",
        "outputId": "36f10eec-54a1-4159-e0be-a5ec5fa308fa"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f3bf3ad0910>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**We will remove the column which have more than 50% missing data**"
      ],
      "metadata": {
        "id": "9eMcT0-gHSiV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df.drop(['company'],inplace=True ,axis=1)"
      ],
      "metadata": {
        "id": "KQCKMsReGDi9"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# plot of the null values afer removal of the null values \n",
        "fig, ax = plt.subplots(figsize=(10,5))\n",
        "sns.heatmap(Booking_df.isnull(), cbar=False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 496
        },
        "id": "Ob11CwxTH4K-",
        "outputId": "6f5484d4-49f4-4754-e858-85d4029f94e7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f3bf1179e50>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df['agent'].fillna(0.0, inplace=True)"
      ],
      "metadata": {
        "id": "p7lj2j6NM1F9"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Filling the null values with '0' as the respective columns only contains the id of the agent and company\n",
        "Booking_df['country'].fillna(Booking_df.country.mode().to_string(), inplace=True)"
      ],
      "metadata": {
        "id": "0krFK2VhInr2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df['children'].fillna(round(Booking_df.children.mean()), inplace=True)"
      ],
      "metadata": {
        "id": "VyGYUun5MMrW"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "opv3jStPJ0sq",
        "outputId": "18160f86-8924-49c2-8d2d-28544d1d5f1c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "hotel                             0\n",
              "is_canceled                       0\n",
              "lead_time                         0\n",
              "arrival_date_year                 0\n",
              "arrival_date_month                0\n",
              "arrival_date_week_number          0\n",
              "arrival_date_day_of_month         0\n",
              "stays_in_weekend_nights           0\n",
              "stays_in_week_nights              0\n",
              "adults                            0\n",
              "children                          0\n",
              "babies                            0\n",
              "meal                              0\n",
              "country                           0\n",
              "market_segment                    0\n",
              "distribution_channel              0\n",
              "is_repeated_guest                 0\n",
              "previous_cancellations            0\n",
              "previous_bookings_not_canceled    0\n",
              "reserved_room_type                0\n",
              "assigned_room_type                0\n",
              "booking_changes                   0\n",
              "deposit_type                      0\n",
              "agent                             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"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "Booking_df['country'].fillna(Booking_df.country.mode().to_string(), inplace=True)"
      ],
      "metadata": {
        "id": "dYCMA3JTJ6Kh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df['country'].isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "y4e59fCPKNYh",
        "outputId": "d4fc7b30-f3d3-4c20-ea23-a780942935d9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Missing Value Count Function\n",
        "def show_missing():\n",
        "    missing = Booking_df.columns[Booking_df.isnull().any()].tolist()\n",
        "    return missing\n",
        "\n",
        "# Missing data counts and percentage\n",
        "print('Missing Data Count')\n",
        "print(Booking_df[show_missing()].isnull().sum().sort_values(ascending = False))\n",
        "print('--'*50)\n",
        "print('Missing Data Percentage')\n",
        "print(round(Booking_df[show_missing()].isnull().sum().sort_values(ascending = False)/len(Booking_df)*100,2))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qvIJ9nDYKUxu",
        "outputId": "236315af-4f48-433a-eb14-15d8eea9ac8d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Missing Data Count\n",
            "Series([], dtype: float64)\n",
            "----------------------------------------------------------------------------------------------------\n",
            "Missing Data Percentage\n",
            "Series([], dtype: float64)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MjvIFlCtOpSU",
        "outputId": "e174afbc-dfa1-4c88-bdef-1042c44e340a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "hotel                             0\n",
              "is_canceled                       0\n",
              "lead_time                         0\n",
              "arrival_date_year                 0\n",
              "arrival_date_month                0\n",
              "arrival_date_week_number          0\n",
              "arrival_date_day_of_month         0\n",
              "stays_in_weekend_nights           0\n",
              "stays_in_week_nights              0\n",
              "adults                            0\n",
              "children                          0\n",
              "babies                            0\n",
              "meal                              0\n",
              "country                           0\n",
              "market_segment                    0\n",
              "distribution_channel              0\n",
              "is_repeated_guest                 0\n",
              "previous_cancellations            0\n",
              "previous_bookings_not_canceled    0\n",
              "reserved_room_type                0\n",
              "assigned_room_type                0\n",
              "booking_changes                   0\n",
              "deposit_type                      0\n",
              "agent                             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"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Checking if any row have 0 guests ,it means hotel is not booked"
      ],
      "metadata": {
        "id": "f0mMC59fPTtM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df[(Booking_df['adults']==0) & (Booking_df['children']==0) & (Booking_df['babies']== 0)].shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nmwaT-84PEWh",
        "outputId": "7cfb0b34-6479-4e2a-c496-ab459e0064b8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(180, 31)"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df = Booking_df.drop(Booking_df[(Booking_df['adults']==0) & (Booking_df['children']==0) & (Booking_df['babies']== 0)].index)"
      ],
      "metadata": {
        "id": "3NFF98EDNY8g"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-U1mxHXMP1mY",
        "outputId": "77f92902-a9c4-4279-c02b-4e37c6187ea1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(119210, 31)"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Outlier Tretment**"
      ],
      "metadata": {
        "id": "ahRy3esRdvFq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 364
        },
        "id": "HlSD3zLid7xW",
        "outputId": "b7a9b610-9b42-4820-d84c-3c15291f2ed1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         is_canceled      lead_time  arrival_date_year  \\\n",
              "count  119210.000000  119210.000000      119210.000000   \n",
              "mean        0.370766     104.109227        2016.156472   \n",
              "std         0.483012     106.875450           0.707485   \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             119210.000000              119210.000000   \n",
              "mean                  27.163376                  15.798717   \n",
              "std                   13.601107                   8.781070   \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            119210.000000         119210.000000  119210.000000   \n",
              "mean                  0.927053              2.499195       1.859206   \n",
              "std                   0.995117              1.897106       0.575186   \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  119210.000000  119210.000000      119210.000000   \n",
              "mean        0.104043       0.007961           0.031499   \n",
              "std         0.398836       0.097509           0.174663   \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           119210.000000                   119210.000000   \n",
              "mean                 0.087191                        0.137094   \n",
              "std                  0.844918                        1.498137   \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  days_in_waiting_list            adr  \\\n",
              "count    119210.000000  119210.000000         119210.000000  119210.000000   \n",
              "mean          0.218799      74.889078              2.321215     101.969092   \n",
              "std           0.638504     107.168884             17.598002      50.434007   \n",
              "min           0.000000       0.000000              0.000000      -6.380000   \n",
              "25%           0.000000       7.000000              0.000000      69.500000   \n",
              "50%           0.000000       9.000000              0.000000      94.950000   \n",
              "75%           0.000000     152.000000              0.000000     126.000000   \n",
              "max          18.000000     535.000000            391.000000    5400.000000   \n",
              "\n",
              "       required_car_parking_spaces  total_of_special_requests  \n",
              "count                119210.000000              119210.000000  \n",
              "mean                      0.062553                   0.571504  \n",
              "std                       0.245360                   0.792876  \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  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-92921837-b685-48b9-9548-9da85d86ac6d\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <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>agent</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>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "      <td>119210.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>0.370766</td>\n",
              "      <td>104.109227</td>\n",
              "      <td>2016.156472</td>\n",
              "      <td>27.163376</td>\n",
              "      <td>15.798717</td>\n",
              "      <td>0.927053</td>\n",
              "      <td>2.499195</td>\n",
              "      <td>1.859206</td>\n",
              "      <td>0.104043</td>\n",
              "      <td>0.007961</td>\n",
              "      <td>0.031499</td>\n",
              "      <td>0.087191</td>\n",
              "      <td>0.137094</td>\n",
              "      <td>0.218799</td>\n",
              "      <td>74.889078</td>\n",
              "      <td>2.321215</td>\n",
              "      <td>101.969092</td>\n",
              "      <td>0.062553</td>\n",
              "      <td>0.571504</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.483012</td>\n",
              "      <td>106.875450</td>\n",
              "      <td>0.707485</td>\n",
              "      <td>13.601107</td>\n",
              "      <td>8.781070</td>\n",
              "      <td>0.995117</td>\n",
              "      <td>1.897106</td>\n",
              "      <td>0.575186</td>\n",
              "      <td>0.398836</td>\n",
              "      <td>0.097509</td>\n",
              "      <td>0.174663</td>\n",
              "      <td>0.844918</td>\n",
              "      <td>1.498137</td>\n",
              "      <td>0.638504</td>\n",
              "      <td>107.168884</td>\n",
              "      <td>17.598002</td>\n",
              "      <td>50.434007</td>\n",
              "      <td>0.245360</td>\n",
              "      <td>0.792876</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>0.000000</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>7.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>69.500000</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>9.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>94.950000</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>152.000000</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>18.000000</td>\n",
              "      <td>535.000000</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>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-92921837-b685-48b9-9548-9da85d86ac6d')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-92921837-b685-48b9-9548-9da85d86ac6d button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-92921837-b685-48b9-9548-9da85d86ac6d');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We can see that there are some outlier values in our dataset"
      ],
      "metadata": {
        "id": "-GbHzqH8eapo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "columns = ['lead_time', 'stays_in_weekend_nights', 'stays_in_week_nights', 'adults', 'children', 'babies', 'required_car_parking_spaces', 'adr', 'previous_cancellations', 'previous_bookings_not_canceled', 'booking_changes']\n",
        "n = 1\n",
        "plt.figure(figsize=(20,15))\n",
        "\n",
        "for column in columns:\n",
        "  plt.subplot(4,4,n)\n",
        "  n = n+1\n",
        "  sns.boxplot(Booking_df[column])\n",
        "  plt.tight_layout()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 836
        },
        "id": "CsxFso8RejLK",
        "outputId": "ebb4781d-de3d-4def-f477-82412c0cec3e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x1080 with 11 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "We remove the outliers by using conditionals to get and update these values"
      ],
      "metadata": {
        "id": "EZZ_1VDte_Aw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Booking_df.loc[Booking_df.lead_time > 500, 'lead_time'] = 500\n",
        "Booking_df.loc[Booking_df.stays_in_weekend_nights >=  5, 'stays_in_weekend_nights'] = 5\n",
        "Booking_df.loc[Booking_df.adults > 4, 'adults'] = 4\n",
        "Booking_df.loc[Booking_df.previous_bookings_not_canceled > 0, 'previous_bookings_not_canceled'] = 1\n",
        "Booking_df.loc[Booking_df.previous_cancellations > 0, 'previous_cancellations'] = 1\n",
        "Booking_df.loc[Booking_df.stays_in_week_nights > 10, 'stays_in_week_nights'] = 10\n",
        "Booking_df.loc[Booking_df.booking_changes > 5, 'booking_changes'] = 5\n",
        "Booking_df.loc[Booking_df.babies > 8, 'babies'] = 0\n",
        "Booking_df.loc[Booking_df.required_car_parking_spaces > 5, 'required_car_parking_spaces'] = 0\n",
        "Booking_df.loc[Booking_df.children > 8, 'children'] = 0\n",
        "Booking_df.loc[Booking_df.adr > 1000, 'adr'] = 1000"
      ],
      "metadata": {
        "id": "TkbidCvre5DT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Here we have done with data pre-processing and cleaning.**"
      ],
      "metadata": {
        "id": "LLnH_38oPupv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# correlation graph of the data\n",
        "fig, ax = plt.subplots(figsize=(15,5))\n",
        "dataplot = sns.heatmap(Booking_df.corr(), cmap=\"YlGnBu\", annot=True, linewidths=.5)\n",
        "\n",
        "  \n",
        "# displaying heatmap\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 477
        },
        "id": "Rth7bvvyPpal",
        "outputId": "d5a588b5-b677-487a-ab83-2ac067d4a614"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x360 with 2 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**groupby on countries to count top tourist origin**"
      ],
      "metadata": {
        "id": "v0W_VBkagIBC"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df=Booking_df['country'].value_counts().head(25)\n",
        "\n",
        " \n",
        "# creating the bar plot\n",
        "df.plot(kind='bar',width=.8 ,color=['green'],figsize=(11, 5))\n",
        "\n",
        "# kegends of the plot\n",
        "plt.xlabel(\"country\")\n",
        "plt.ylabel(\"No. of bookings\")\n",
        "plt.title(\"top countries with tourist Booking\")\n",
        "\n",
        "# display of the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 377
        },
        "id": "g19EHV50V3jL",
        "outputId": "ec720c9d-eb75-4018-ceb4-c3b5eb41bd39"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 792x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        " \n"
      ],
      "metadata": {
        "id": "bOogMxEtbN39"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**most popular type of hotel**"
      ],
      "metadata": {
        "id": "qf2x3ihef5Fq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        " \n",
        "\n",
        "df=Booking_df['hotel'].value_counts()\n",
        "\n",
        " \n",
        "# creating the bar plot\n",
        "df.plot(kind='bar',width=.8 ,color=['blue'],figsize = (11, 5))\n",
        "\n",
        "# legends for the plot\n",
        "\n",
        "plt.xlabel(\"type of hotel\")\n",
        "plt.ylabel(\"No. of bookings\")\n",
        "plt.title(\"Popular type of hotel\")\n",
        "\n",
        "# Displaying the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 401
        },
        "id": "82P5zRwabbY9",
        "outputId": "fa0973c2-71a8-4f21-9891-bdda36c79dad"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 792x360 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqgAAAGACAYAAABhr5CaAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nO3de5gldX3n8fdHBhSJMKAjQQYB42CCxiD0AkYTL0QYyCokqwQUGZE42YAr5mIC2eySVRN1s2qCipGIMqAR8bZMFIMTvGVdUXqEgAMLjChhJlxGh1vEIAPf/eP8Wo5NT3cz06dP9fT79TznOVW/+lWdb/XDU/Ohqn5VqSokSZKkrnjMsAuQJEmS+hlQJUmS1CkGVEmSJHWKAVWSJEmdYkCVJElSpxhQJUmS1CkGVEl6lJKcl+Stw65j0JI8I8lVSe5N8oYJln85yW/PUi2z9luShs+AKmlOS/K9JD9K8m9Jbm/h8WeGXdej0fbh14ZdxwT+CPhSVT2hqs6ayQ13eJ8ldYABVdK24KVV9TPAgcAI8KdDrmdC6ZlLx929gTXDLkLS/DOXDpSSNKmqWg98HngWQJKXJVmT5K52ifgXxvq2M3hnJLk2yZ1JPpzkcW3Za5L8n/5tJ6kkTx//m0l2TfLZJBvadj6bZHHf8i8n+fMkXwPuA542bv0LgKcCf9/OAv9Rks8l+S/j+l2d5Df6anlDkpuSfD/JX/YH3ySvTXJdq+fSJHtv7m+2ub9Rki8CLwLe2+rabzOb2DvJ19ptAF9I8qRpbPsR+9zaD03yf1v/f07yws3VLWnbZkCVtM1IshdwFHBlC1QfA94ILAIuoReIduhb5VXAEcDPAfuxZWdeHwN8mN7ZxqcCPwLeO67Pq4HlwBOAm/sXVNWrgX+hnQWuqv8JrABO6NuvXwL2BD7Xt+pv0DtbfCBwNPDa1vdo4E+A32z7/U/0/g6PMNnfqKpe3NZ9favrhs3s/yuBk4AnAzsAfziNbT9in5OM7d9bgd3adj6VZNFmflfSNsyAKmlb8L+T3AX8H+ArwF8AvwV8rqpWVdUDwP8CdgR+uW+991bVLVW1Efhz4PhH+8NV9YOq+lRV3VdV97btvGBct/Oqak1VbWq1TGUlsF+SJW3+1cDHq+rHfX3eUVUbq+pfgL/qq/0/A2+rquuqahO9v8UBmzmLOp2/0VQ+XFU3VNWPgIuAA7Zw2ycAl1TVJVX1UFWtAkbp/Q+HpHnGgCppW3BMVS2sqr2r6pQWlp5C39nKqnoIuIXemcgxt/RN39zWeVSSPD7JB5LcnOQe4KvAwiTbbeZ3plRV/w58HDihXbo/HrhgXLfN1b438NftMvldwEYg/PR+j5nO32gqt/VN3weMDVB7tNveG3jFWN2t9ucDezyKWiRtIwyokrZV/0ov9AC9AUrAXsD6vj579U0/ta0D8EPg8X3r/uwkv/MHwDOAQ6pqZ+BXx1br61NT1DrR8hX0bkE4DLivqr4+bvnmar8F+J0W2Mc+O1bV/53gN6bzN9pSU217/D7fAlwwru6dqurtM1CLpDnGgCppW3UR8OtJDkuyPb0geT/QH9ROTbI4yW7Af6V31hLgn4FnJjmgDZz6s0l+5wn07ju9q23nzC2o9XbGDZ5qgfQh4J088uwpwJvaAK29gNP6av8b4IwkzwRIskuSV2zmd6fzN9pSU217/D5/BHhpkiOSbJfkcUle2D/gTNL8YUCVtE2qquvp3df4HuD7wEvpDcrpv4/z74AvADcB36E3QIc2IOjNwD8CN9K7t3Vz/orevZXfBy4H/mELyn0b8Kft0vYf9rWfD/wivfA23sXAauAqeoOLzm21fwZ4B3Bhu+Xg28CRE/3oNP9GW2Qa2/6pfa6qW+gN9voTYAO9M6pvwn+npHkpVVNdeZKkbU+S7wG/XVX/OOxaNifJicDyqnr+uPYCllTV2uFUJkmD5f+ZSlIHJXk8cApwzrBrkaTZZkCVpI5JcgS9y9y307sNQZLmFS/xS5IkqVM8gypJkqROMaBKkiSpUxYMu4DZ9qQnPan22WefYZchSZI0r61evfr7VbVoomXzLqDus88+jI6ODrsMSZKkeS3JzZtb5iV+SZIkdYoBVZIkSZ1iQJUkSVKnGFAlSZLUKQMNqEl+L8maJN9O8rEkj0uyb5JvJFmb5ONJdmh9H9vm17bl+/Rt54zWfn17w8pY+9LWtjbJ6YPcF0mSJM2OgQXUJHsCbwBGqupZwHbAccA7gHdX1dOBO4GT2yonA3e29ne3fiTZv633TGApcHaS7ZJsB7wPOBLYHzi+9ZUkSdIcNuhL/AuAHZMsAB4P3Aq8GPhkW74COKZNH93macsPS5LWfmFV3V9V3wXWAge3z9qquqmqfgxc2PpKkiRpDhtYQK2q9cD/Av6FXjC9G1gN3FVVm1q3dcCebXpP4Ja27qbW/4n97ePW2Vy7JEmS5rBBXuLfld4ZzX2BpwA70btEP+uSLE8ymmR0w4YNwyhBkiRJ0zTIS/y/Bny3qjZU1QPAp4HnAQvbJX+AxcD6Nr0e2AugLd8F+EF/+7h1Ntf+CFV1TlWNVNXIokUTvlFLkiRJHTHIgPovwKFJHt/uJT0MuBb4EvDy1mcZcHGbXtnmacu/WFXV2o9ro/z3BZYA3wSuAJa0pwLsQG8g1coB7o8kSZJmwYKpu2yZqvpGkk8C3wI2AVcC5wCfAy5M8tbWdm5b5VzggiRrgY30AidVtSbJRfTC7Sbg1Kp6ECDJ64FL6T0h4ENVtWZQ+7OtSYZdgbTtqRp2BZK0bUjNsyPqyMhIjY6ODruMoTOgSjNvnh1OJWmrJFldVSMTLfNNUpIkSeoUA6okSZI6xYAqSZKkTjGgSpIkqVMMqJIkSeoUA6okSZI6xYAqSZKkTjGgSpIkqVMMqJIkSeoUA6okSZI6xYAqSZKkTjGgSpIkqVMMqJIkSeoUA6okSZI6xYAqSZKkTjGgSpIkqVMMqJIkSeoUA6okSZI6xYAqSZKkTjGgSpIkqVMMqJIkSeoUA6okSZI6xYAqSZKkTjGgSpIkqVMGFlCTPCPJVX2fe5K8McluSVYlubF979r6J8lZSdYmuTrJgX3bWtb635hkWV/7QUmuaeuclSSD2h9JkiTNjoEF1Kq6vqoOqKoDgIOA+4DPAKcDl1XVEuCyNg9wJLCkfZYD7wdIshtwJnAIcDBw5liobX1e17fe0kHtjyRJkmbHbF3iPwz4TlXdDBwNrGjtK4Bj2vTRwPnVczmwMMkewBHAqqraWFV3AquApW3ZzlV1eVUVcH7ftiRJkjRHzVZAPQ74WJvevapubdO3Abu36T2BW/rWWdfaJmtfN0G7JEmS5rCBB9QkOwAvAz4xflk781mzUMPyJKNJRjds2DDon5MkSdJWmI0zqEcC36qq29v87e3yPO37jta+Htirb73FrW2y9sUTtD9CVZ1TVSNVNbJo0aKt3B1JkiQN0mwE1ON5+PI+wEpgbCT+MuDivvYT22j+Q4G7260AlwKHJ9m1DY46HLi0LbsnyaFt9P6JfduSJEnSHLVgkBtPshPwEuB3+prfDlyU5GTgZuDY1n4JcBSwlt6I/5MAqmpjkrcAV7R+b66qjW36FOA8YEfg8+0jSZKkOSy920Dnj5GRkRodHR12GUPnE2OlmTfPDqeStFWSrK6qkYmW+SYpSZIkdYoBVZIkSZ1iQJUkSVKnGFAlSZLUKQZUSZIkdYoBVZIkSZ1iQJUkSVKnGFAlSZLUKQZUSZIkdYoBVZIkSZ1iQJUkSVKnGFAlSZLUKQZUSZIkdYoBVZIkSZ1iQJUkSVKnGFAlSZLUKQZUSZIkdYoBVZIkSZ1iQJUkSVKnGFAlSZLUKQZUSZIkdYoBVZIkSZ1iQJUkSVKnGFAlSZLUKQMNqEkWJvlkkv+X5Lokz02yW5JVSW5s37u2vklyVpK1Sa5OcmDfdpa1/jcmWdbXflCSa9o6ZyXJIPdHkiRJgzfoM6h/DfxDVf088EvAdcDpwGVVtQS4rM0DHAksaZ/lwPsBkuwGnAkcAhwMnDkWaluf1/Wtt3TA+yNJkqQBG1hATbIL8KvAuQBV9eOqugs4GljRuq0AjmnTRwPnV8/lwMIkewBHAKuqamNV3QmsApa2ZTtX1eVVVcD5fduSJEnSHDXIM6j7AhuADye5MskHk+wE7F5Vt7Y+twG7t+k9gVv61l/X2iZrXzdB+yMkWZ5kNMnohg0btnK3JEmSNEiDDKgLgAOB91fVc4Af8vDlfADamc8aYA1jv3NOVY1U1ciiRYsG/XOSJEnaCoMMqOuAdVX1jTb/SXqB9fZ2eZ72fUdbvh7Yq2/9xa1tsvbFE7RLkiRpDhtYQK2q24BbkjyjNR0GXAusBMZG4i8DLm7TK4ET22j+Q4G7260AlwKHJ9m1DY46HLi0LbsnyaFt9P6JfduSJEnSHLVgwNv/L8BHk+wA3AScRC8UX5TkZOBm4NjW9xLgKGAtcF/rS1VtTPIW4IrW781VtbFNnwKcB+wIfL59JEmSNIeldxvo/DEyMlKjo6PDLmPofGKsNPPm2eFUkrZKktVVNTLRMt8kJUmSpE4xoEqSJKlTDKiSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlTDKiSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlTDKiSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlTDKiSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlTpgyoSU5LsnN6zk3yrSSHz0ZxkiRJmn+mcwb1tVV1D3A4sCvwauDtA61KkiRJ89Z0Amra91HABVW1pq9NkiRJmlHTCairk3yBXkC9NMkTgIcGW5YkSZLmqwXT6HMycABwU1Xdl+SJwEmDLUuSJEnz1XQC6gHt+2nJT67s351kQVVtGkxZkiRJmq+mc4n/bOBy4Bzgb4GvA58Arp9qNH+S7yW5JslVSUZb225JViW5sX3v2tqT5Kwka5NcneTAvu0sa/1vTLKsr/2gtv21bV3vjZUkSZrjphNQ/xV4TlWNVNVBwHOAm4CXAP9zGuu/qKoOqKqRNn86cFlVLQEua/MARwJL2mc58H7oBVrgTOAQ4GDgzLFQ2/q8rm+9pdOoR5IkSR02nYC6Xxu5D0BVXQv8fFXdtIW/eTSwok2vAI7paz+/ei4HFibZAzgCWFVVG6vqTmAVsLQt27mqLq+qAs7v25YkSZLmqOkE1DVJ3p/kBe1zNnBtkscCD0yxbgFfSLI6yfLWtntV3dqmbwN2b9N7Arf0rbuutU3Wvm6C9kdIsjzJaJLRDRs2TFGyJEmShmk6g6ReA5wCvLHNfw34Q3rh9EVTrPv8qlqf5MnAqiT/r39hVVWSenQlP3pVdQ69e2gZGRkZ+O9JkiRpy00ZUKvqR8A722e8f5ti3fXt+44kn6F3D+ntSfaoqlvbZfo7Wvf1wF59qy9ubeuBF45r/3JrXzxBf0mSJM1hU17iT/K8Ntr+hiQ3jX2msd5O7aH+JNmJ3qtSvw2sBMZG4i8DLm7TK4ET22j+Q4G7260AlwKHJ9m1DY46HLi0LbsnyaFt9P6JfduSJEnSHDWdS/znAr8HrAYefBTb3h34THvy0wLg76rqH5JcAVyU5GTgZuDY1v8Sem+rWgvcR3sZQFVtTPIW4IrW781VtbFNnwKcB+wIfL59JEmSNIelNwB+kg7JN6rqkFmqZ+BGRkZqdHR02GUMnU+MlWbeFIdTSVKfJKv7HkP6U6ZzBvVLSf4S+DRw/1hjVX1rhuqTJEmSfmI6AXXs7Gl/wi3gxTNfjiRJkua76Yzin+pRUpIkSdKM2WxATXJCVX0kye9PtLyq3jW4siRJkjRfTXYGdaf2/YTZKESSJEmCSQJqVX2gTb6n77FOACTZd6BVSZIkad6a8kH9wN8n2XlsJskvAH8/uJIkSZI0n00noP4FvZD6M0kOAj4JnDDYsiRJkjRfTWcU/+eSbA98gd79qL9RVTcMvDJJkiTNS5ON4n8PveedjtkF+A7w+iRU1RsGXZwkSZLmn8nOoI5/H+jqQRYiSZIkweSj+FeMTSfZAdivzV5fVQ8MujBJkiTNT1Peg5rkhcAK4HtAgL2SLKuqrw62NEmSJM1HUwZU4J3A4VV1PUCS/YCPAQcNsjBJkiTNT9N5zNT2Y+EUoI3g335wJUmSJGk+m84Z1NEkHwQ+0uZfxSMHUEmSJEkzYjoB9XeBU4Gxx0r9E3D2wCqSJEnSvDadB/Xfn+S9wCp6z0V1FL8kSZIGxlH8kiRJ6hRH8UuSJKlTHMUvSZKkTnEUvyRJkjrFUfySJEnqlCkv8VfV/cB7gf8BnAm8r7VNS5LtklyZ5LNtft8k30iyNsnHk+zQ2h/b5te25fv0beOM1n59kiP62pe2trVJTp9uTZIkSequKQNqkl8HvgP8Nb2gujbJkY/iN04Druubfwfw7qp6OnAncHJrPxm4s7W/u/Ujyf7AccAzgaXA2S30bge8DzgS2B84vvWVJEnSHDadQVLvBF5UVS+sqhcAL6IXIKeUZDHw68AH23yAFwOfbF1WAMe06aPbPG35Ya3/0cCFVXV/VX0XWAsc3D5rq+qmqvoxcGHrK0mSpDlsOgH13qpa2zd/E3DvNLf/V8AfAQ+1+ScCd1XVpja/DtizTe8J3ALQlt/d+v+kfdw6m2uXJEnSHLbZQVJJfrNNjia5BLiI3pukXgFcMdWGk/xH4I6qWt0e9j80SZYDywGe+tSnDrMUSZpTkmFXIG17qoZdQfdNNor/pX3TtwMvaNMbgMdNY9vPA16W5KjWf2d697EuTLKgnSVdDKxv/dcDewHrkiwAdgF+0Nc+pn+dzbX/lKo6BzgHYGRkxP8sJEmSOmyzAbWqTtqaDVfVGcAZ8JPXpf5hVb0qySeAl9O7Z3QZcHFbZWWb/3pb/sWqqiQrgb9L8i7gKcAS4Jv0Xru6JMm+9ILpccArt6ZmSZIkDd90noM60/4YuDDJW4ErgXNb+7nABUnWAhvpBU6qak2Si4BrgU3AqVX1IECS1wOXAtsBH6qqNbO6J5IkSZpxqXl2I8TIyEiNjvoiLO8rk2betng49Vghzbxt8VixJZKsrqqRiZZtdhR/ktPa9/MGVZgkSZI03mSPmRq7B/U9s1GIJEmSBJPfg3pdkhuBpyS5uq89QFXVswdbmiRJkuajyUbxH5/kZ+kNQnrZ7JUkSZKk+WzSUfxVdRvwS0l2APZrzddX1QMDr0ySJEnz0pSPmUryAuB84Hv0Lu/vlWRZVX11wLVJkiRpHprOc1DfBRxeVdcDJNkP+Bhw0CALkyRJ0vw02Sj+MduPhVOAqroB2H5wJUmSJGk+m84Z1NEkHwQ+0uZfBfike0mSJA3EdALq7wKnAm9o8/8EnD2wiiRJkjSvTRlQq+p+evehvmvw5UiSJGm+m849qJIkSdKsMaBKkiSpUwyokiRJ6pQtCqhJls90IZIkSRJs+RnUzGgVkiRJUrNFAbWqPjDThUiSJEkwjYCaZHGSzyTZkOSOJJ9Ksng2ipMkSdL8M50zqB8GVgJ7AE8B/r61SZIkSTNuOgF1UVV9uKo2tc95wKIB1yVJkqR5ajoB9QdJTkiyXfucAPxg0IVJkiRpfppOQH0tcCxwG3Ar8HLgpEEWJUmSpPlrwVQdqupm4GWzUIskSZK0+YCa5L9Psl5V1VsGUI8kSZLmucku8f9wgg/AycAfT7XhJI9L8s0k/5xkTZL/0dr3TfKNJGuTfDzJDq39sW1+bVu+T9+2zmjt1yc5oq99aWtbm+T0R7nvkiRJ6qDNBtSqeufYBzgH2JHevacXAk+bxrbvB15cVb8EHAAsTXIo8A7g3VX1dOBOeoGX9n1na39360eS/YHjgGcCS4GzxwZsAe8DjgT2B45vfSVJkjSHTTpIKsluSd4KXE3vdoADq+qPq+qOqTZcPf/WZrdvnwJeDHyyta8AjmnTR7d52vLDkqS1X1hV91fVd4G1wMHts7aqbqqqH9MLzkdPZ6clSZLUXZsNqEn+ErgCuBf4xar6s6q689FsvJ3pvAq4A1gFfAe4q6o2tS7rgD3b9J7ALQBt+d3AE/vbx62zufaJ6lieZDTJ6IYNGx7NLkiSJGmWTXYG9Q/ovTnqT4F/TXJP+9yb5J7pbLyqHqyqA4DF9M54/vxWV7wFquqcqhqpqpFFi3zHgCRJUpdtdhR/VU3nGanTUlV3JfkS8FxgYZIF7SzpYmB967Ye2AtYl2QBsAu9FwKMtY/pX2dz7ZIkSZqjZiyEjpdkUZKFbXpH4CXAdcCX6D3sH2AZcHGbXtnmacu/WFXV2o9ro/z3BZYA36R3+8GS9lSAHegNpFo5qP2RJEnS7JjyQf1bYQ9gRRtt/xjgoqr6bJJrgQvb4KsrgXNb/3OBC5KsBTbSC5xU1ZokFwHXApuAU6vqQYAkrwcuBbYDPlRVawa4P5IkSZoF6Z2knD9GRkZqdHR02GUMXTLsCqRtz7Z4OPVYIc28bfFYsSWSrK6qkYmWDewSvyRJkrQlDKiSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlTDKiSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlTDKiSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlTDKiSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlTDKiSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlTDKiSJEnqFAOqJEmSOsWAKkmSpE4ZWEBNsleSLyW5NsmaJKe19t2SrEpyY/vetbUnyVlJ1ia5OsmBfdta1vrfmGRZX/tBSa5p65yVJIPaH0mSJM2OQZ5B3QT8QVXtDxwKnJpkf+B04LKqWgJc1uYBjgSWtM9y4P3QC7TAmcAhwMHAmWOhtvV5Xd96Swe4P5IkSZoFAwuoVXVrVX2rTd8LXAfsCRwNrGjdVgDHtOmjgfOr53JgYZI9gCOAVVW1saruBFYBS9uynavq8qoq4Py+bUmSJGmOmpV7UJPsAzwH+Aawe1Xd2hbdBuzepvcEbulbbV1rm6x93QTtE/3+8iSjSUY3bNiwVfsiSZKkwRp4QE3yM8CngDdW1T39y9qZzxp0DVV1TlWNVNXIokWLBv1zkiRJ2goDDahJtqcXTj9aVZ9uzbe3y/O07zta+3pgr77VF7e2ydoXT9AuSZKkOWyQo/gDnAtcV1Xv6lu0Ehgbib8MuLiv/cQ2mv9Q4O52K8ClwOFJdm2Dow4HLm3L7klyaPutE/u2JUmSpDlqwQC3/Tzg1cA1Sa5qbX8CvB24KMnJwM3AsW3ZJcBRwFrgPuAkgKramOQtwBWt35uramObPgU4D9gR+Hz7SJIkaQ5L7zbQ+WNkZKRGR0eHXcbQ+cRYaeZti4dTjxXSzNsWjxVbIsnqqhqZaJlvkpIkSVKnGFAlSZLUKQZUSZIkdYoBVZIkSZ1iQJUkSVKnGFAlSZLUKQZUSZIkdYoBVZIkSZ1iQJUkSVKnGFAlSZLUKQZUSZIkdYoBVZIkSZ1iQJUkSVKnGFAlSZLUKQZUSZIkdYoBVZIkSZ1iQJUkSVKnGFAlSZLUKQZUSZIkdYoBVZIkSZ1iQJUkSVKnGFAlSZLUKQZUSZIkdcrAAmqSDyW5I8m3+9p2S7IqyY3te9fWniRnJVmb5OokB/ats6z1vzHJsr72g5Jc09Y5K0kGtS+SJEmaPYM8g3oesHRc2+nAZVW1BLiszQMcCSxpn+XA+6EXaIEzgUOAg4Ezx0Jt6/O6vvXG/5YkSZLmoIEF1Kr6KrBxXPPRwIo2vQI4pq/9/Oq5HFiYZA/gCGBVVW2sqjuBVcDStmznqrq8qgo4v29bkiRJmsNm+x7U3avq1jZ9G7B7m94TuKWv37rWNln7ugnaJUmSNMcNbZBUO/NZs/FbSZYnGU0yumHDhtn4SUmSJG2h2Q6ot7fL87TvO1r7emCvvn6LW9tk7YsnaJ9QVZ1TVSNVNbJo0aKt3glJkiQNzmwH1JXA2Ej8ZcDFfe0nttH8hwJ3t1sBLgUOT7JrGxx1OHBpW3ZPkkPb6P0T+7YlSZKkOWzBoDac5GPAC4EnJVlHbzT+24GLkpwM3Awc27pfAhwFrAXuA04CqKqNSd4CXNH6vbmqxgZenULvSQE7Ap9vH0mSJM1x6d0KOn+MjIzU6OjosMsYOp8aK828bfFw6rFCmnnb4rFiSyRZXVUjEy3zTVKSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlTDKiSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlTDKiSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlTDKiSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlTDKiSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlTDKiSJEnqFAOqJEmSOsWAKkmSpE4xoEqSJKlT5nxATbI0yfVJ1iY5fdj1SJIkaevM6YCaZDvgfcCRwP7A8Un2H25VkiRJ2hpzOqACBwNrq+qmqvoxcCFw9JBrkiRJ0laY6wF1T+CWvvl1rU2SJElz1IJhFzAbkiwHlrfZf0ty/TDrkR6lJwHfH3YRmloy7Ao0z3msmCM8VvzE3ptbMNcD6npgr775xa3tp1TVOcA5s1WUNJOSjFbVyLDrkNRtHiu0LZnrl/ivAJYk2TfJDsBxwMoh1yRJkqStMKfPoFbVpiSvBy4FtgM+VFVrhlyWJEmStsKcDqgAVXUJcMmw65AGyNtTJE2HxwptM1JVw65BkiRJ+om5fg+qJEmStjEGVEmSJHXKnL8HVdpWJNltsuVVtXG2apHUXUl+c7LlVfXp2apFGhQDqtQdq4ECJnqEcwFPm91yJHXUSydZVoABVXOeg6QkSZLUKd6DKnVMek5I8t/a/FOTHDzsuiR1S5Ldk5yb5PNtfv8kJw+7LmkmGFCl7jkbeC7wyjZ/L/C+4ZUjqaPOo/eimqe0+RuANw6tGmkGGVCl7jmkqk4F/h2gqu4EdhhuSZI66ElVdRHwEPTergg8ONySpJlhQJW654Ek29Eb7ECSRbR/gCSpzw+TPJGHjxWHAncPtyRpZjiKX+qes4DPAE9O8ufAy4H/NtySJHXQ7wMrgZ9L8jVgEfCK4ZYkzQxH8UsdlOTngcPoPXLqsqq6bsglSaxcfIwAAAkmSURBVOqYJI+ld0n/GfSOFdcDj6mq+4damDQDDKhSxyS5oKpePVWbpPktybeq6sCp2qS5yEv8Uvc8s3+m3Y960JBqkdQxSX4W2BPYMclzePjlHjsDjx9aYdIMMqBKHZHkDOBP6P2jcw8P/6PzY+CcoRUmqWuOAF4DLAbe1dd+L71jiDTneYlf6pgkb6uqM4Zdh6RuS/KfqupTw65DGgQDqtRBSV4G/Gqb/XJVfXaY9UjqniQLgf/Ow8eKrwBvriofNaU5z+egSh2T5G3AacC17XNakr8YblWSOuhcepf1j22fe4APD7UiaYZ4BlXqmCRXAwdU1UNtfjvgyqp69nArk9QlSa6qqgOmapPmIs+gSt20sG96l6FVIanLfpTk+WMzSZ4H/GiI9UgzxlH8Uve8DbgyyZfojeT/VeD04ZYkqYN+F1iRZBd6x4qN9Eb3S3Oel/ilDkqyB/Af2uw3q+q2YdYjqbuS7AxQVfcMuxZpphhQpY5IMunbX6rqW7NVi6TuSvL7ky2vqndNtlyaC7zEL3XHO/umDwJGefhh/QW8eNYrktRFT+ib/h3gA8MqRBoUz6BKHZTkyqp6zrDrkNRtHiu0rXIUv9RN/p+jpOnwWKFtkgFVkiRJneI9qFJHJHkPD58NWZzkrP7lVfWG2a9KUtckuYaHjxVPby/3gN496+VLPbQtMKBK3THaN716aFVI6rr/OOwCpEFzkJQkSZI6xXtQJUmS1CkGVEmSJHWKAVXqmCRPHHYNkrovyWnTaZPmIgOq1D2XJ/lEkqOSZOrukuapZRO0vWa2i5AGwUFSUse0UPprwGuB/wBcBJxXVTcMtTBJnZDkeOCVwK8AX+1b9ATgoao6bCiFSTPIgCp1WJIXAR8BdgL+GTi9qr4+3KokDVOSvYF9gbcBp/ctuhe4uqo2DaUwaQYZUKWOafegngC8GrgdOBdYCRwAfKKq9h1ieZI6IMl2wD9W1YuGXYs0CD6oX+qerwMXAMdU1bq+9tEkfzOkmiR1SFU9mOShJLtU1d3DrkeaaZ5BlTomybFVddG4tldU1SeGVZOk7klyMfAcYBXww7F2X4usbYEBVeqYJN+qqgOnapM0vyWZaBQ/VbVitmuRZpqX+KWOSHIkcBSwZ5Kz+hbtDDjoQdJPqaoVSXYA9mtN11fVA8OsSZopBlSpO/4VGAVeBqzua78X+L2hVCSps5K8EFgBfA8IsFeSZVX11cnWk+YCL/FLHZNkgY+JkTSVJKuBV1bV9W1+P+BjVXXQcCuTtp5nUKWOSHJRVR0LXJmk//8cA1RVPXtIpUnqpu3HwilAVd2QZPthFiTNFM+gSh2RZI+qurU9hPsRqurm2a5JUncl+RDwEL2XeUDv+cmPqarXDq8qaWYYUKWOSPJ0YPeq+tq49ucBt1XVd4ZTmaQuSvJY4FTg+a3pn4Czq+r+4VUlzQwDqtQRST4LnFFV14xr/0XgL6rqpcOpTFLXJdkNWFxVVw+7FmkmPGbYBUj6id3Hh1OA1rbP7JcjqcuSfDnJzi2crgb+Nsm7h12XNBMMqFJ3LJxk2Y6zVoWkuWKXqroH+E3g/Ko6BDhsyDVJM8KAKnXHaJLXjW9M8tv89HNRJQlgQZI9gGOBzw67GGkm+ZgpqTveCHwmyat4OJCOADsAvzG0qiR11ZuBS4GvVdUVSZ4G3DjkmqQZ4SApqWOSvAh4VptdU1VfHGY9kiTNNgOqJElzUHtz1PvpDbB8VpJnAy+rqrcOuTRpq3kPqiRJc9PfAmcADwC0R0wdN9SKpBliQJUkaW56fFV9c1zbpqFUIs0wA6okSXPT95P8HFAASV4O3DrckqSZ4T2okiTNQW3U/jnALwN3At8FXlVVNw+1MGkGGFAlSZrDkuxE74rofcBxVfXRIZckbTUv8UuSNIe015uekeS9SV5CL5guA9bSe2i/NOd5BlWSpDkkycX0Lul/nd6rTZ8MBDitqq4aZm3STDGgSpI0hyS5pqp+sU1vR29g1FOr6t+HW5k0c7zEL0nS3PLA2ERVPQisM5xqW+MZVEmS5pAkDwI/HJsFdqR3H2qAqqqdh1WbNFMMqJIkSeoUL/FLkiSpUwyokiRJ6hQDqiRJkjrFgCpJWyDJwiSnDPH3fyXJmiRXJdmxr32fJN9+lNt6TZKnTKPfee1975I0UAZUSdoyC4GhBVTgVcDbquqAqvrRVm7rNcCUAVWSZosBVZK2zNuBn2tnMP8yyflJjhlbmOSjSY5uZycvTvLlJDcmObOvzwlJvtm28YH20PWfkuSwJFcmuSbJh5I8Nslv03ul5VuSTPTe9e2S/G07w/qFsTOsSQ5IcnmSq5N8Jsmu7YzoCPDRsbOxSQ5K8pUkq5NcmmSPmf7jSdJkDKiStGVOB77TzmC+CTiX3plIkuwC/DLwudb3YOA/Ac8GXpFkJMkvAL8FPK+qDgAepHdW9CeSPA44D/it9uagBcDvVtUHgZXAm6rqp9ZplgDvq6pnAne13wY4H/jjqno2cA1wZlV9EhgFXtXq2AS8B3h5VR0EfAj48y3/M0nSo7dg2AVI0ragqr6S5Owki+gFwk9V1aYkAKuq6gcAST4NPJ9eEDwIuKL12RG4Y9xmnwF8t6puaPMrgFOBv5qinO/2vZN9NbBPC80Lq+orfdv6xATrPgN4FrCq1TX2Kk1JmjUGVEmaOecDJwDHASf1tY9/I0rRe+vPiqo6YwB13N83/SC98DtdAdZU1XNntiRJmj4v8UvSlrkXeMK4tvOANwJU1bV97S9Jslu7F/QY4GvAZcDLkzwZoC3fe9z2rqd39vPpbf7VwFfYAlV1N3Bnkl+ZYFv9+3I9sCjJc1td2yd55pb8piRtKc+gStIWqKofJPlae6TT56vqTVV1e5LrgP89rvs3gU8Bi4GPVNUoQJI/Bb6Q5DHAA/Qu39/c9xv/nuQk4BNJFgBXAH+zFWUvA/4myeOBm3j4LO95rf1HwHOBlwNntdsCFtC7pWDNVvyuJD0qqRp/5UmStCVa8LsGOLCdsSTJa4CRqnr9MGuTpLnES/ySNAOS/BpwHfCesXAqSdoynkGVJElSp3gGVZIkSZ1iQJUkSVKnGFAlSZLUKQZUSZIkdYoBVZIkSZ1iQJUkSVKn/H9gT+ujYMT4sQAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Booking from the different segment types**"
      ],
      "metadata": {
        "id": "5bEQtzlwfyOu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df=Booking_df.groupby(['hotel','market_segment']).agg(count=('hotel','size'))\n",
        "\n",
        "# reset index\n",
        "df=df.reset_index()\n",
        "df=df.sort_values(by=['market_segment'], inplace=False, ascending=True)\n",
        "\n",
        "# pivoting the table \n",
        "df=df.pivot(index='market_segment',columns='hotel',values='count')\n",
        "\n",
        "# filling the some na values with 0\n",
        "df=df.fillna(0)\n",
        "\n",
        "# plotting the bar graph\n",
        "df.plot(kind='bar',width=.8 ,color=['green','blue'],figsize = (11, 5))\n",
        "\n",
        "# legends of the plot\n",
        "plt.xlabel(\"Market Segment\")\n",
        "plt.ylabel(\"No. of Bookings\")\n",
        "plt.title(\"Arrival of bookings from different segment\")\n",
        "\n",
        "# Displaying the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 420
        },
        "id": "g3FqZhAvbug-",
        "outputId": "be6c17ae-ee39-408b-e7b1-2313e06bf595"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 792x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**counting the number of customers who canceled with type of deposit**"
      ],
      "metadata": {
        "id": "NMSGu605fs9i"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df=Booking_df.groupby(['is_canceled','deposit_type']).agg(count=('is_canceled','size'))\n",
        "df=df.reset_index()\n",
        "\n",
        "# pivoting the table\n",
        "df=df.pivot(index='deposit_type',columns='is_canceled',values='count')\n",
        "\n",
        "# ploting the bar graph\n",
        "df.plot(kind='bar',width=.5 ,color=['green','blue'],figsize = (11,5))\n",
        "\n",
        "# legends of the plot\n",
        "plt.xlabel(\"Type of deposit\")\n",
        "plt.ylabel(\"No. of Bookings\")\n",
        "plt.title(\"Relationship of deposit type with cancelation\")\n",
        "\n",
        "# dsiplaying the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 398
        },
        "id": "Eus1H4NWdqNM",
        "outputId": "a7b89ec6-dae0-426e-ffd8-6f357c3f04e9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 792x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**percentage of each type of deposit**"
      ],
      "metadata": {
        "id": "J_2tcZDYfm-G"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df=Booking_df.groupby(['deposit_type']).size()\n",
        "\n",
        "# plotting the bar graph \n",
        "plot = df.plot.pie(y='deposit_type', title=\"Deposit Type\", legend=False, autopct='%1.1f%%', explode=(0.18, 0.22, 0.11), shadow=True, startangle=0)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 264
        },
        "id": "4OyOZBbpeB5t",
        "outputId": "72795e53-18ed-487b-f807-bc371044121a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**comparing the month with respect to bookings**"
      ],
      "metadata": {
        "id": "xwcq7rMmfZ0p"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df=Booking_df.groupby(['arrival_date_month']).agg(count=('hotel','count')).sort_values(by='arrival_date_month',ascending=False)\n",
        "df=df.reset_index()\n",
        "\n",
        "# sorting the dataframe from random month to calender wise month\n",
        "months=['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December']\n",
        "\n",
        "df.index=pd.CategoricalIndex( df['arrival_date_month'],categories=months,ordered=True )\n",
        "\n",
        "df=df.sort_index().reset_index(drop=True)\n",
        "\n",
        "df.set_index('arrival_date_month',inplace=True)\n",
        "\n",
        "# ploting the bar graph\n",
        "df.plot(kind='bar',width=.5 ,color=['blue'],figsize = (11, 5))\n",
        "\n",
        "# legends of the plot\n",
        "plt.xlabel(\"Month\")\n",
        "plt.ylabel(\"No. of bookings\")\n",
        "plt.title(\"Arrival of bookings from different month\")\n",
        "\n",
        "#displaying the plot\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "H3KOS5lFeNwW",
        "outputId": "f3401565-0be5-4482-bf24-e45b07609a86"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 792x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**slicing the bookings which are canceled for analysis**"
      ],
      "metadata": {
        "id": "hcyllvlykGb2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "new_df=Booking_df[Booking_df['is_canceled']==1]\n",
        "df=new_df.groupby('arrival_date_month').agg(count=('is_canceled','count'))\n",
        "\n",
        "# reseting the index\n",
        "df=df.reset_index()\n",
        "\n",
        "# sorting out the data month wise\n",
        "months=['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December']\n",
        "df.index=pd.CategoricalIndex( df['arrival_date_month'],categories=months,ordered=True )\n",
        "df=df.sort_index()\n",
        "df.set_index('arrival_date_month',inplace=True)\n",
        "\n",
        "# ploting the grapg\n",
        "df.plot(kind='line',color=['green'],figsize = (10, 5))\n",
        "\n",
        "# legends of the plot\n",
        "plt.xlabel(\"month\")\n",
        "plt.ylabel(\"No. of cancelation\")\n",
        "plt.title(\"cancelation per month\")\n",
        "\n",
        "# display of the plot\n",
        "plt.show()\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "XDHTT43le53e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 350
        },
        "outputId": "804e1b4d-3de4-4fa9-cf3b-fb86bd69f31e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**checking for type of hotel getting most number of cancelation**"
      ],
      "metadata": {
        "id": "ZT56tyxij7-_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df=Booking_df.groupby(['is_canceled','hotel']).agg(count=('is_canceled','count'))\n",
        "df=df.reset_index()\n",
        "\n",
        "# pivoting of the table\n",
        "df=df.pivot(index='hotel',columns='is_canceled',values='count')\n",
        "\n",
        "# ploting the bar graph\n",
        "df.plot(kind='bar',width=.5 ,color=['green','blue'],figsize = (10, 5))\n",
        "\n",
        "# legends of the plot\n",
        "plt.xlabel(\"type of hotel\")\n",
        "plt.ylabel(\"No. of passengers\")\n",
        "plt.title(\"cancelation by the type of hotel\")\n",
        "\n",
        "# display of the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 401
        },
        "id": "VY2L543tjvfU",
        "outputId": "982a9c6e-aebc-43da-9c91-857e5909a349"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**slicing out repeated guest column to check their count of cancelation**"
      ],
      "metadata": {
        "id": "ByTIlnDSkUNb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df=Booking_df[Booking_df['is_repeated_guest']==1]\n",
        "df=df.groupby(['is_canceled','is_repeated_guest']).agg(repeated_guest=('is_canceled','count'))\n",
        "\n",
        "# reseting the inde\n",
        "df=df.reset_index()\n",
        "\n",
        "# pivoting the table\n",
        "df=df.pivot(index='is_canceled',columns='is_repeated_guest',values='repeated_guest')\n",
        "\n",
        "# ploting the graph\n",
        "df.plot(kind='bar',width=.5 ,color=['green','blue'],figsize = (10, 5))\n",
        "\n",
        "# legends of the plot\n",
        "plt.xlabel(\"Cancelation type\")\n",
        "plt.ylabel(\"No. of customers\")\n",
        "plt.title(\"Number of customers repeated customers cancelled the bookings\")\n",
        "\n",
        "# display of the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 346
        },
        "id": "rp6q0OAskRHo",
        "outputId": "993c2704-1f63-4da6-d0e0-fcba57ac693e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**calculating lead time for various segment**"
      ],
      "metadata": {
        "id": "88WFUg8IknMK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "df=Booking_df.groupby(['hotel','market_segment']).agg(lead_time=('lead_time','mean'))\n",
        "\n",
        "# reseting the index\n",
        "df=df.reset_index()\n",
        "\n",
        "# pivoting the dataframe\n",
        "df=df.pivot(index='market_segment',columns='hotel',values='lead_time')\n",
        "\n",
        "# ploting the table\n",
        "df.plot(kind='bar',width=.5 ,color=['green','blue'],figsize = (10, 5))\n",
        "\n",
        "# legends of the plot\n",
        "plt.xlabel(\"market segment\")\n",
        "plt.ylabel(\"Mean lead time \")\n",
        "plt.title(\" mean lead time for varius market segment \")\n",
        "\n",
        "# display of the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 420
        },
        "id": "FsTsOR6dkYuU",
        "outputId": "c2070470-a23a-4338-cba6-0a53f5f95815"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**calculating the days in waiting list for various market segment**"
      ],
      "metadata": {
        "id": "w2ttA_YH7mDq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "\n",
        "df=Booking_df.groupby(['market_segment']).agg(waittime=('days_in_waiting_list','value_counts'))\n",
        "df=df.reset_index()\n",
        "\n",
        "# To show the plot\n",
        "df.plot.scatter(x = 'market_segment', y = 'days_in_waiting_list',figsize = (10, 5))\n"
      ],
      "metadata": {
        "id": "2kqpHGAfkogX",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 353
        },
        "outputId": "e5b38d19-3fbe-45a2-e25b-0e1d8f364924"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f3bee959d90>"
            ]
          },
          "metadata": {},
          "execution_count": 38
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**calculating the earning per room **"
      ],
      "metadata": {
        "id": "T1GAsCq37tOq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# total earning per room in adr\n",
        "df=Booking_df.groupby(['reserved_room_type']).agg(Aus_dollar_paid=('adr','sum')).sort_values(by='Aus_dollar_paid',ascending=False)\n",
        "\n",
        "# dividing by lakh to reduce dimension \n",
        "df['Aus_dollar_paid']=df['Aus_dollar_paid']/100000\n",
        "\n",
        "# reseting the index\n",
        "df.reset_index().set_index('reserved_room_type',inplace=True)\n",
        "\n",
        "# ploting the bar graph\n",
        "df.plot(kind='bar',width=.5 ,color=['green','blue'],figsize = (10, 5))\n",
        "\n",
        "# legends of the plot\n",
        "plt.xlabel(\"Room Type\")\n",
        "plt.ylabel(\"total revenue generated in lakhs\")\n",
        "plt.title(\"total Earning by room type in lakhs\")\n",
        "\n",
        "# display of the chart\n",
        "plt.show()\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 347
        },
        "id": "6YFN1Rcf7sNo",
        "outputId": "80306221-486d-4f2b-d76f-a669da419af0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**calculating per capita income by country**"
      ],
      "metadata": {
        "id": "v3V29U5O8PPz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# revenue generated by country\n",
        "df=Booking_df.groupby(['country']).agg(revenue=('adr','sum')).reset_index().sort_values(by='revenue',ascending=False)\n",
        "\n",
        "# number of tourist per country\n",
        "df2=Booking_df.groupby(['country']).agg(tourist_by_country=('country','size')).reset_index()\n",
        "\n",
        "\n",
        "# merging of two data frames\n",
        "merged_df = pd.merge(df, df2, how='inner',left_on='country',right_on='country')\n",
        "\n",
        "# dividing two coumns to get per capita spend\n",
        "merged_df['per_capita_spend']=merged_df['revenue']/merged_df['tourist_by_country']\n",
        "\n",
        "# sorting the values\n",
        "merged_df=merged_df.sort_values(by='per_capita_spend',ascending=False)\n",
        "\n",
        "# taking tourist with min 1000 vists \n",
        "new_df=merged_df[merged_df['tourist_by_country']>=1000].drop(['revenue','tourist_by_country'], axis = 1)\n",
        "\n",
        "new_df.set_index('country',inplace=True)\n",
        "\n",
        "# ploting the bar chart\n",
        "new_df.plot(kind='bar',width=.5 ,color=['green'],figsize = (10, 5))\n",
        "\n",
        "# legends of the plot\n",
        "plt.xlabel(\"country\")\n",
        "plt.ylabel(\"Adr spent \")\n",
        "plt.title(\"people of country with highest per capita spending while on tour\")\n",
        "\n",
        "# display of the chart\n",
        "plt.show()\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 362
        },
        "id": "qexgCx-A8QCn",
        "outputId": "3fa24f81-d89e-4da3-d33b-126a5cced7f3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**What people prefered in the meal**"
      ],
      "metadata": {
        "id": "Sqm6Bqrada_s"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df=Booking_df.groupby(['hotel','meal']).agg(count=('meal','count')).reset_index()\n",
        "df=df.pivot_table(index='meal',columns='hotel',values='count').reset_index().fillna(0)\n",
        "df.set_index('meal',inplace=True)\n",
        "df\n",
        "                                                                      \n",
        "df.plot(kind='bar',width=.3 ,color=['green','red'],figsize = (10, 5))\n",
        "\n",
        "# legends of the plot\n",
        "plt.xlabel(\"meal type\")\n",
        "plt.ylabel(\"Number of passengers\")\n",
        "plt.title(\"Meal type prefered \")\n",
        "\n",
        "# display of the chart\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 391
        },
        "id": "PnA-Jftj9SnH",
        "outputId": "708f468b-8419-4a26-a0a1-d07ca85248b0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        ""
      ],
      "metadata": {
        "id": "UYAO_RyYPn5S"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Now We have done with EDA of this data**"
      ],
      "metadata": {
        "id": "2awuIERsd095"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Conclusion**"
      ],
      "metadata": {
        "id": "-PRLC2U5BdeL"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "1.We have seen that most of the guests were from western Europe countries\n",
        "\n",
        "2.Portugal is the country from where almost 50k bookings were being done.\n",
        "\n",
        "3.Mostly the city hotels are reserved.\n",
        "\n",
        "4.Repeated customers are very less.\n",
        "\n",
        "5.Mostly the rooms which are reserved converted to successful transaction.\n",
        "\n",
        "6.Guests from USA, Switzerland and France spend more on rooms While guest\n",
        "from Portugal and great Britain prefer economical rooms.\n",
        "\n",
        "7.Month of august has the highest number of cancelation.\n",
        "\n",
        "8.Mostly preferred the BB type of meal."
      ],
      "metadata": {
        "id": "iqyhAvrYAz6q"
      }
    },
    {
      "cell_type": "code",
      "source": [
        ""
      ],
      "metadata": {
        "id": "sFZoFK_WfEh1"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}