Hotel Bookings.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "FIND IT 2020.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5tDCrcvorHPy",
        "colab_type": "text"
      },
      "source": [
        "# Analisis Data Hotel Bookings\n",
        "Data ini dipublikasikan di https://www.sciencedirect.com/science/article/pii/S2352340918315191.\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-iJCDg2w6YT7",
        "colab_type": "text"
      },
      "source": [
        "## Data Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t9ZKfuadiOBF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "from google.colab import files\n",
        "import io\n",
        "%matplotlib inline\n",
        "sns.set_style('whitegrid')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ViFrkZSEk14n",
        "colab_type": "code",
        "outputId": "933fc959-5f94-4611-94e2-18e15e762b35",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        }
      },
      "source": [
        "data = pd.read_csv('https://raw.githubusercontent.com/kevinasyraf/find-it-2020-dac/master/hotel_bookings.csv')\n",
        "data.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>hotel</th>\n",
              "      <th>is_canceled</th>\n",
              "      <th>lead_time</th>\n",
              "      <th>arrival_date_year</th>\n",
              "      <th>arrival_date_month</th>\n",
              "      <th>arrival_date_week_number</th>\n",
              "      <th>arrival_date_day_of_month</th>\n",
              "      <th>stays_in_weekend_nights</th>\n",
              "      <th>stays_in_week_nights</th>\n",
              "      <th>adults</th>\n",
              "      <th>children</th>\n",
              "      <th>babies</th>\n",
              "      <th>meal</th>\n",
              "      <th>country</th>\n",
              "      <th>market_segment</th>\n",
              "      <th>distribution_channel</th>\n",
              "      <th>is_repeated_guest</th>\n",
              "      <th>previous_cancellations</th>\n",
              "      <th>previous_bookings_not_canceled</th>\n",
              "      <th>reserved_room_type</th>\n",
              "      <th>assigned_room_type</th>\n",
              "      <th>booking_changes</th>\n",
              "      <th>deposit_type</th>\n",
              "      <th>agent</th>\n",
              "      <th>company</th>\n",
              "      <th>days_in_waiting_list</th>\n",
              "      <th>customer_type</th>\n",
              "      <th>adr</th>\n",
              "      <th>required_car_parking_spaces</th>\n",
              "      <th>total_of_special_requests</th>\n",
              "      <th>reservation_status</th>\n",
              "      <th>reservation_status_date</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Resort Hotel</td>\n",
              "      <td>0</td>\n",
              "      <td>342</td>\n",
              "      <td>2015</td>\n",
              "      <td>July</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>BB</td>\n",
              "      <td>PRT</td>\n",
              "      <td>Direct</td>\n",
              "      <td>Direct</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>C</td>\n",
              "      <td>C</td>\n",
              "      <td>3</td>\n",
              "      <td>No Deposit</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>Transient</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Check-Out</td>\n",
              "      <td>7/1/2015</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Resort Hotel</td>\n",
              "      <td>0</td>\n",
              "      <td>737</td>\n",
              "      <td>2015</td>\n",
              "      <td>July</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>BB</td>\n",
              "      <td>PRT</td>\n",
              "      <td>Direct</td>\n",
              "      <td>Direct</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>C</td>\n",
              "      <td>C</td>\n",
              "      <td>4</td>\n",
              "      <td>No Deposit</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>Transient</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Check-Out</td>\n",
              "      <td>7/1/2015</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Resort Hotel</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>2015</td>\n",
              "      <td>July</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>BB</td>\n",
              "      <td>GBR</td>\n",
              "      <td>Direct</td>\n",
              "      <td>Direct</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>A</td>\n",
              "      <td>C</td>\n",
              "      <td>0</td>\n",
              "      <td>No Deposit</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>Transient</td>\n",
              "      <td>75.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Check-Out</td>\n",
              "      <td>7/2/2015</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Resort Hotel</td>\n",
              "      <td>0</td>\n",
              "      <td>13</td>\n",
              "      <td>2015</td>\n",
              "      <td>July</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>BB</td>\n",
              "      <td>GBR</td>\n",
              "      <td>Corporate</td>\n",
              "      <td>Corporate</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>0</td>\n",
              "      <td>No Deposit</td>\n",
              "      <td>304.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>Transient</td>\n",
              "      <td>75.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>Check-Out</td>\n",
              "      <td>7/2/2015</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Resort Hotel</td>\n",
              "      <td>0</td>\n",
              "      <td>14</td>\n",
              "      <td>2015</td>\n",
              "      <td>July</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>BB</td>\n",
              "      <td>GBR</td>\n",
              "      <td>Online TA</td>\n",
              "      <td>TA/TO</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>A</td>\n",
              "      <td>A</td>\n",
              "      <td>0</td>\n",
              "      <td>No Deposit</td>\n",
              "      <td>240.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>Transient</td>\n",
              "      <td>98.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Check-Out</td>\n",
              "      <td>7/3/2015</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          hotel  is_canceled  ...  reservation_status  reservation_status_date\n",
              "0  Resort Hotel            0  ...           Check-Out                 7/1/2015\n",
              "1  Resort Hotel            0  ...           Check-Out                 7/1/2015\n",
              "2  Resort Hotel            0  ...           Check-Out                 7/2/2015\n",
              "3  Resort Hotel            0  ...           Check-Out                 7/2/2015\n",
              "4  Resort Hotel            0  ...           Check-Out                 7/3/2015\n",
              "\n",
              "[5 rows x 32 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 195
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uXd0quKLqcj_",
        "colab_type": "code",
        "outputId": "e5007553-3166-473f-bedf-c61d3c9ae462",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "data.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(119390, 32)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 196
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xul8KDTeowFf",
        "colab_type": "code",
        "outputId": "6601014a-0311-4fe2-b142-d4f928693774",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 668
        }
      },
      "source": [
        "# cek tipe data masing-masing atribut\n",
        "data.info()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 119390 entries, 0 to 119389\n",
            "Data columns (total 32 columns):\n",
            "hotel                             119390 non-null object\n",
            "is_canceled                       119390 non-null int64\n",
            "lead_time                         119390 non-null int64\n",
            "arrival_date_year                 119390 non-null int64\n",
            "arrival_date_month                119390 non-null object\n",
            "arrival_date_week_number          119390 non-null int64\n",
            "arrival_date_day_of_month         119390 non-null int64\n",
            "stays_in_weekend_nights           119390 non-null int64\n",
            "stays_in_week_nights              119390 non-null int64\n",
            "adults                            119390 non-null int64\n",
            "children                          119386 non-null float64\n",
            "babies                            119390 non-null int64\n",
            "meal                              119390 non-null object\n",
            "country                           118902 non-null object\n",
            "market_segment                    119390 non-null object\n",
            "distribution_channel              119390 non-null object\n",
            "is_repeated_guest                 119390 non-null int64\n",
            "previous_cancellations            119390 non-null int64\n",
            "previous_bookings_not_canceled    119390 non-null int64\n",
            "reserved_room_type                119390 non-null object\n",
            "assigned_room_type                119390 non-null object\n",
            "booking_changes                   119390 non-null int64\n",
            "deposit_type                      119390 non-null object\n",
            "agent                             103050 non-null float64\n",
            "company                           6797 non-null float64\n",
            "days_in_waiting_list              119390 non-null int64\n",
            "customer_type                     119390 non-null object\n",
            "adr                               119390 non-null float64\n",
            "required_car_parking_spaces       119390 non-null int64\n",
            "total_of_special_requests         119390 non-null int64\n",
            "reservation_status                119390 non-null object\n",
            "reservation_status_date           119390 non-null object\n",
            "dtypes: float64(4), int64(16), object(12)\n",
            "memory usage: 29.1+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O_KHDVLNqB4c",
        "colab_type": "code",
        "outputId": "97ad0674-c7ef-4388-9a6e-5385705bdb53",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 598
        }
      },
      "source": [
        "# cek data yang hilang\n",
        "data.isnull().sum()"
      ],
      "execution_count": 0,
      "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                               4\n",
              "babies                                 0\n",
              "meal                                   0\n",
              "country                              488\n",
              "market_segment                         0\n",
              "distribution_channel                   0\n",
              "is_repeated_guest                      0\n",
              "previous_cancellations                 0\n",
              "previous_bookings_not_canceled         0\n",
              "reserved_room_type                     0\n",
              "assigned_room_type                     0\n",
              "booking_changes                        0\n",
              "deposit_type                           0\n",
              "agent                              16340\n",
              "company                           112593\n",
              "days_in_waiting_list                   0\n",
              "customer_type                          0\n",
              "adr                                    0\n",
              "required_car_parking_spaces            0\n",
              "total_of_special_requests              0\n",
              "reservation_status                     0\n",
              "reservation_status_date                0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 198
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ACmrS_ShtRSU",
        "colab_type": "text"
      },
      "source": [
        "Dari data-data yang hilang, perlu dilakukan observasi untuk mengisi data-data nya. <br>\n",
        "Pada atribut *agent*, bisa diisi dengan 0. <br>\n",
        "Pada atribut *company* begitu banyak data yang hilang, sehingga kolom ini tidak apa-apa untuk dihapus. <br>\n",
        "Pada atribut *country* bisa diisi dengan *Unknown* karena asal negara yang tidak diketahui. <br>\n",
        "Pada atribut *children* kita bisa mengisi data children yang null dengan angka 0."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9g58qrTTqCKL",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data = data.drop('company', axis = 1)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "drzHKd_-qC1t",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data = data.fillna({\n",
        "    'children' : 0,\n",
        "    'agent' : 0,\n",
        "    'country': 'Unknown',\n",
        "})"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LdnkdLiJyD_M",
        "colab_type": "code",
        "outputId": "6cec8246-f47c-4a3e-cac2-4fd07764f38a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# Memastikan tidak ada data yang hilang\n",
        "any(data.isna().sum())"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 201
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QumDR-_kySQD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Selama observasi data, kami menemukan beberapa baris yang mana\n",
        "# adult = 0, children = 0, dan babies = 0. Maka baris yang mengandung data\n",
        "# sepert ini sebaiknya di drop dikarenakan tidak mungkin ada hotel dibooking\n",
        "# dengan tamu berjumlah nol\n",
        "\n",
        "zero_guests = list(data.loc[data[\"adults\"]\n",
        "                   + data[\"children\"]\n",
        "                   + data[\"babies\"]==0].index)\n",
        "data.drop(data.index[zero_guests], inplace=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "25WRjXDHyTDb",
        "colab_type": "code",
        "outputId": "761525ba-b3de-41f0-a84a-47ac1e8e1a1c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "data.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(119210, 31)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 203
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Uv0M6vEL6sOe",
        "colab_type": "text"
      },
      "source": [
        "## EDA"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hnnkMhvRB--B",
        "colab_type": "text"
      },
      "source": [
        "Akan ada beberapa pertanyaan yang akan dijawab dalam EDA ini"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HPaOtoEc--JK",
        "colab_type": "text"
      },
      "source": [
        "### **1. Mendeteksi Outlier**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MgHFPRDP--3m",
        "colab_type": "code",
        "outputId": "c6ab2779-5334-474e-9999-648670515c62",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        }
      },
      "source": [
        "sns.boxplot(data=data, x = 'lead_time')\n",
        "plt.show()\n",
        "\n",
        "sns.boxplot(data=data, x = 'adr')\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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iosJlZWW5rKwsl56eHvj6iLTn2znnTp065SZOnOgyMzPd3Llz3eXLlyNuzmvXrrlhw4a5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\nAENEFwAMEV0AMPR/mUfkHSw/mX8AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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/vdiyZYsefvjhrjc7KS4uVmNjY9fXT548meAiqXFPF0nr4MGD2r9/vzZs2KCvv/5ao0aN\n+tNb/P1R7969nVYH/DNEF0nr/Pnz6t+/v3r37q1ffvlFdXV1amtr0+HDh9XS0qJLly5px44diV4m\ncEO4vYCk9dhjj2n9+vV64okndOeddyovL0+DBg3Siy++qKeeekqZmZkaOXJkopcJ3BDeZQwAHHF7\nAQAcEV0AcER0AcAR0QUAR0QXABwRXQBwRHQBwNH/AnD7NVs2/nHwAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WomCjjS__hfy",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "IQR_lt = data['lead_time'].quantile(0.75) -  data['lead_time'].quantile(0.25)\n",
        "RUB = data['lead_time'].quantile(0.75) + 1.5*IQR_lt\n",
        "\n",
        "data_no_outlier = data[data['lead_time'] <= RUB]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OSblZJ8T_hZ6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "IQR_adr = data['adr'].quantile(0.75) -  data['adr'].quantile(0.25)\n",
        "RUB = data['adr'].quantile(0.75) + 1.5*IQR_adr\n",
        "\n",
        "data_no_outlier = data_no_outlier[data_no_outlier['adr'] <= RUB]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4By6ZIG1CHmE",
        "colab_type": "text"
      },
      "source": [
        "### **2. Dari negara mana saja para tamu berasal?** "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0wOe7a4z4mtO",
        "colab_type": "code",
        "outputId": "cfc9d98e-14a4-4269-b8fc-86ebc5748141",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 373
        }
      },
      "source": [
        "data_country = pd.DataFrame(data.loc[data['is_canceled'] != 1]['country'].value_counts())\n",
        "data_country.index.name = 'country'\n",
        "data_country.rename(columns={\"country\": \"Number of Guests\"}, inplace=True)\n",
        "total_guests = data_country[\"Number of Guests\"].sum()\n",
        "data_country[\"Guests in %\"] = round(data_country[\"Number of Guests\"] / total_guests * 100, 2)\n",
        "data_country.head(10) # 10 negara dengan banyak tamu terbanyak"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Number of Guests</th>\n",
              "      <th>Guests in %</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>country</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>PRT</th>\n",
              "      <td>20977</td>\n",
              "      <td>27.97</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>GBR</th>\n",
              "      <td>9668</td>\n",
              "      <td>12.89</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>FRA</th>\n",
              "      <td>8468</td>\n",
              "      <td>11.29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ESP</th>\n",
              "      <td>6383</td>\n",
              "      <td>8.51</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DEU</th>\n",
              "      <td>6067</td>\n",
              "      <td>8.09</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>IRL</th>\n",
              "      <td>2542</td>\n",
              "      <td>3.39</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>ITA</th>\n",
              "      <td>2428</td>\n",
              "      <td>3.24</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>BEL</th>\n",
              "      <td>1868</td>\n",
              "      <td>2.49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>NLD</th>\n",
              "      <td>1716</td>\n",
              "      <td>2.29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>USA</th>\n",
              "      <td>1592</td>\n",
              "      <td>2.12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "         Number of Guests  Guests in %\n",
              "country                               \n",
              "PRT                 20977        27.97\n",
              "GBR                  9668        12.89\n",
              "FRA                  8468        11.29\n",
              "ESP                  6383         8.51\n",
              "DEU                  6067         8.09\n",
              "IRL                  2542         3.39\n",
              "ITA                  2428         3.24\n",
              "BEL                  1868         2.49\n",
              "NLD                  1716         2.29\n",
              "USA                  1592         2.12"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 207
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tghq7WzakDR2",
        "colab_type": "text"
      },
      "source": [
        "Dari data negara di atas, negara Portugal mendominasi untuk negara asal tamu di hotel."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bsn5cRQU4niJ",
        "colab_type": "code",
        "outputId": "893c18e8-54fb-42c0-ea1c-50218689a83b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        }
      },
      "source": [
        "import plotly.express as px\n",
        "guest_map = px.choropleth(data_country,\n",
        "                    locations=data_country.index,\n",
        "                    color=data_country[\"Guests in %\"], \n",
        "                    hover_name=data_country.index, \n",
        "                    color_continuous_scale=px.colors.sequential.Viridis,\n",
        "                    title=\"Negara asal para tamu hotel\")\n",
        "guest_map.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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              "                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n",
              "        <script src=\"https://cdn.plot.ly/plotly-latest.min.js\"></script>    \n",
              "            <div id=\"3a16545a-4281-4258-85fd-7a21a237f461\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>\n",
              "            <script type=\"text/javascript\">\n",
              "                \n",
              "                    window.PLOTLYENV=window.PLOTLYENV || {};\n",
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              "                    Plotly.newPlot(\n",
              "                        '3a16545a-4281-4258-85fd-7a21a237f461',\n",
              "                        [{\"coloraxis\": \"coloraxis\", \"geo\": \"geo\", \"hoverlabel\": {\"namelength\": 0}, \"hovertemplate\": \"<b>%{hovertext}</b><br><br>locations=%{location}<br>Guests in %=%{z}\", \"hovertext\": [\"PRT\", \"GBR\", \"FRA\", \"ESP\", \"DEU\", \"IRL\", \"ITA\", \"BEL\", \"NLD\", \"USA\", \"BRA\", \"CHE\", \"AUT\", \"CN\", \"SWE\", \"POL\", \"CHN\", \"ISR\", \"NOR\", \"Unknown\", \"RUS\", \"FIN\", \"ROU\", \"DNK\", \"AUS\", \"LUX\", \"JPN\", \"ARG\", \"AGO\", \"HUN\", \"MAR\", \"TUR\", \"CZE\", \"IND\", \"SRB\", \"GRC\", \"DZA\", \"KOR\", \"MEX\", \"HRV\", \"LTU\", \"NZL\", \"EST\", \"BGR\", \"IRN\", \"ISL\", \"CHL\", \"ZAF\", \"UKR\", \"MOZ\", \"COL\", \"LVA\", \"SVN\", \"THA\", \"SVK\", \"CYP\", \"TWN\", \"MYS\", \"PER\", \"URY\", \"LBN\", \"SGP\", \"EGY\", \"TUN\", \"ECU\", \"JOR\", \"CRI\", \"BLR\", \"SAU\", \"PHL\", \"IRQ\", \"VEN\", \"KAZ\", \"OMN\", \"NGA\", \"MLT\", \"CPV\", \"IDN\", \"ALB\", \"KWT\", \"BIH\", \"PRI\", \"CMR\", \"BOL\", \"PAN\", \"LBY\", \"CUB\", \"AZE\", \"ARE\", \"GNB\", \"MKD\", \"GIB\", \"LKA\", \"GEO\", \"MUS\", \"ARM\", \"DOM\", \"VNM\", \"JAM\", \"CAF\", \"SUR\", \"PAK\", \"PRY\", \"CIV\", \"GTM\", \"KEN\", \"QAT\", \"BRB\", \"SEN\", \"MCO\", \"SYR\", \"BGD\", \"MNE\", \"MDV\", \"HKG\", \"ABW\", \"LAO\", \"ZWE\", \"ETH\", \"STP\", \"TGO\", \"GAB\", \"SLV\", \"RWA\", \"GHA\", \"TZA\", \"UGA\", \"KNA\", \"UZB\", \"LIE\", \"AND\", \"ATA\", \"MWI\", \"COM\", \"TMP\", \"BDI\", \"BHR\", \"ZMB\", \"MAC\", \"AIA\", \"BHS\", \"NPL\", \"GUY\", \"FRO\", \"BWA\", \"ASM\", \"MMR\", \"NCL\", \"MRT\", \"DMA\", \"TJK\", \"ATF\", \"NAM\", \"BFA\", \"SLE\", \"MLI\", \"KIR\", \"PYF\", \"SMR\", \"MDG\", \"CYM\", \"DJI\", \"SDN\", \"LCA\", \"SYC\", \"PLW\"], \"locations\": [\"PRT\", \"GBR\", \"FRA\", \"ESP\", \"DEU\", \"IRL\", \"ITA\", \"BEL\", \"NLD\", \"USA\", \"BRA\", \"CHE\", \"AUT\", \"CN\", \"SWE\", \"POL\", \"CHN\", \"ISR\", \"NOR\", \"Unknown\", \"RUS\", \"FIN\", \"ROU\", \"DNK\", \"AUS\", \"LUX\", \"JPN\", \"ARG\", \"AGO\", \"HUN\", \"MAR\", \"TUR\", \"CZE\", \"IND\", \"SRB\", \"GRC\", \"DZA\", \"KOR\", \"MEX\", \"HRV\", \"LTU\", \"NZL\", \"EST\", \"BGR\", \"IRN\", \"ISL\", \"CHL\", \"ZAF\", \"UKR\", \"MOZ\", \"COL\", \"LVA\", \"SVN\", \"THA\", \"SVK\", \"CYP\", \"TWN\", \"MYS\", \"PER\", \"URY\", \"LBN\", \"SGP\", \"EGY\", \"TUN\", \"ECU\", \"JOR\", \"CRI\", \"BLR\", \"SAU\", \"PHL\", \"IRQ\", \"VEN\", \"KAZ\", \"OMN\", \"NGA\", \"MLT\", \"CPV\", \"IDN\", \"ALB\", \"KWT\", \"BIH\", \"PRI\", \"CMR\", \"BOL\", \"PAN\", \"LBY\", \"CUB\", \"AZE\", \"ARE\", \"GNB\", \"MKD\", \"GIB\", \"LKA\", \"GEO\", \"MUS\", \"ARM\", \"DOM\", \"VNM\", \"JAM\", \"CAF\", \"SUR\", \"PAK\", \"PRY\", \"CIV\", \"GTM\", \"KEN\", \"QAT\", \"BRB\", \"SEN\", \"MCO\", \"SYR\", \"BGD\", \"MNE\", \"MDV\", \"HKG\", \"ABW\", \"LAO\", \"ZWE\", \"ETH\", \"STP\", \"TGO\", \"GAB\", \"SLV\", \"RWA\", \"GHA\", \"TZA\", \"UGA\", \"KNA\", \"UZB\", \"LIE\", \"AND\", \"ATA\", \"MWI\", \"COM\", \"TMP\", \"BDI\", \"BHR\", \"ZMB\", \"MAC\", \"AIA\", \"BHS\", \"NPL\", \"GUY\", \"FRO\", \"BWA\", \"ASM\", \"MMR\", \"NCL\", \"MRT\", \"DMA\", \"TJK\", \"ATF\", \"NAM\", \"BFA\", \"SLE\", \"MLI\", \"KIR\", \"PYF\", \"SMR\", \"MDG\", \"CYM\", \"DJI\", \"SDN\", \"LCA\", \"SYC\", \"PLW\"], \"name\": \"\", \"type\": \"choropleth\", \"z\": [27.97, 12.89, 11.29, 8.51, 8.09, 3.39, 3.24, 2.49, 2.29, 2.12, 1.86, 1.73, 1.38, 1.37, 1.06, 0.94, 0.72, 0.67, 0.57, 0.56, 0.52, 0.5, 0.49, 0.43, 0.43, 0.24, 0.23, 0.21, 0.21, 0.2, 0.2, 0.19, 0.18, 0.15, 0.13, 0.12, 0.11, 0.1, 0.1, 0.1, 0.1, 0.09, 0.09, 0.08, 0.08, 0.07, 0.07, 0.07, 0.06, 0.06, 0.06, 0.06, 0.05, 0.05, 0.05, 0.05, 0.05, 0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.03, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]}],\n",
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asal para tamu hotel\"}},\n",
              "                        {\"responsive\": true}\n",
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              "                            \n",
              "var gd = document.getElementById('3a16545a-4281-4258-85fd-7a21a237f461');\n",
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              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
              "        }}\n",
              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
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              "\n",
              "// Listen for the clearing of the current output cell\n",
              "var outputEl = gd.closest('.output');\n",
              "if (outputEl) {{\n",
              "    x.observe(outputEl, {childList: true});\n",
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              "\n",
              "                        })\n",
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              "        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "eb9BSMpwnryV",
        "colab_type": "text"
      },
      "source": [
        "Berdasarkan visualisasi data di atas. Hotel ini sudah dikunjungi oleh turis dari hampir seluruh negara. Negara yang diwarnai putih artinya belum pernah ada turis dari negara tersebut yang mengunjungi hotel.<br>\n",
        "Negara-negara di Eropa yang banyak mengunjungi hotel ini."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K9wvavwI0G-8",
        "colab_type": "text"
      },
      "source": [
        "### **3. Banyak tamu perbulan berdasarkan hotel setiap tahunnya** "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PfdHYZK-oBsz",
        "colab_type": "code",
        "outputId": "be916f3c-47cb-4983-8dce-7afdf4c8edf2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 195
        }
      },
      "source": [
        "months = [\"January\", \"February\", \"March\", \"April\", \"May\", \"June\", \"July\", \"August\", \"September\", \"October\", \"November\", \"December\"]\n",
        "guest_data = data[data['is_canceled'] == 0].copy()\n",
        "guests_monthly = guest_data[['hotel', 'arrival_date_year', 'arrival_date_month', 'adults', 'children', 'babies']].sort_values('arrival_date_year')\n",
        "guests_monthly['total visitors'] = guests_monthly['adults'] + guests_monthly['children'] + guests_monthly['babies']\n",
        "guests_monthly = guests_monthly.astype({'total visitors' : int})\n",
        "guests_monthly = guests_monthly.drop(['adults', 'children', 'babies'], axis=1)\n",
        "guests_monthly.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>hotel</th>\n",
              "      <th>arrival_date_year</th>\n",
              "      <th>arrival_date_month</th>\n",
              "      <th>total visitors</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Resort Hotel</td>\n",
              "      <td>2015</td>\n",
              "      <td>July</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43256</th>\n",
              "      <td>City Hotel</td>\n",
              "      <td>2015</td>\n",
              "      <td>September</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43257</th>\n",
              "      <td>City Hotel</td>\n",
              "      <td>2015</td>\n",
              "      <td>September</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43258</th>\n",
              "      <td>City Hotel</td>\n",
              "      <td>2015</td>\n",
              "      <td>September</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43259</th>\n",
              "      <td>City Hotel</td>\n",
              "      <td>2015</td>\n",
              "      <td>September</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "              hotel  arrival_date_year arrival_date_month  total visitors\n",
              "0      Resort Hotel               2015               July               2\n",
              "43256    City Hotel               2015          September               2\n",
              "43257    City Hotel               2015          September               2\n",
              "43258    City Hotel               2015          September               2\n",
              "43259    City Hotel               2015          September               2"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 209
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XgOBwuFKoCOt",
        "colab_type": "code",
        "outputId": "e0f26b50-0477-4dc4-f1bc-cafe1c9783ad",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 893
        }
      },
      "source": [
        "guests_monthly['arrival_date_month'] = pd.Categorical(guests_monthly['arrival_date_month'], categories=months, ordered=True)\n",
        "guests_monthly = guests_monthly.groupby(['hotel', 'arrival_date_year', 'arrival_date_month'], as_index = False).sum()\n",
        "\n",
        "f, ax = plt.subplots(3,1,figsize=(15,15))\n",
        "sns.lineplot(x = 'arrival_date_month', y=\"total visitors\", hue=\"hotel\", data=guests_monthly[guests_monthly['arrival_date_year'] == 2015],  ci=\"sd\", ax=ax[0])\n",
        "sns.lineplot(x = 'arrival_date_month', y=\"total visitors\", hue=\"hotel\", data=guests_monthly[guests_monthly['arrival_date_year'] == 2016],  ci=\"sd\", ax=ax[1])\n",
        "sns.lineplot(x = 'arrival_date_month', y=\"total visitors\", hue=\"hotel\", data=guests_monthly[guests_monthly['arrival_date_year'] == 2017],  ci=\"sd\", ax=ax[2])\n",
        "\n",
        "ax[0].set(title=\"Jumlah Tamu Setiap Bulan Sepanjang 2015\")\n",
        "ax[0].set(xlabel=\"Month\", ylabel=\"Total Visitor\")\n",
        "ax[0].set(ylim = (0,5000))\n",
        "\n",
        "ax[1].set(title=\"Jumlah Tamu Setiap Bulan Sepanjang 2016\")\n",
        "ax[1].set(xlabel=\"Month\", ylabel=\"Total Visitor\")\n",
        "ax[1].set(ylim = (0,5000))\n",
        "\n",
        "ax[2].set(title=\"Jumlah Tamu Setiap Bulan Sepanjang 2017\")\n",
        "ax[2].set(xlabel=\"Month\", ylabel=\"Total Visitor\")\n",
        "ax[2].set(ylim = (0,5000))\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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ilVdeYfLkyQQEBGAwGHjzzTd59913adiwIXPnzrWu8279k/318/PjvffeY+LEiTRr1ozo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yQECiGEEBdxPq+Yb/ecZtmOJHadVOWeQ9p78/xIf4aESbmnEA2RlZUOb2dbvJ1tL3m7EqPJHBbN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\n",
            "text/plain": [
              "<Figure size 1080x1080 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MbFdn7Cug_R1",
        "colab_type": "text"
      },
      "source": [
        "Dapat kita lihat bahwa dari grafik yang terlampir diatas bahwa "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MrmqSlsjhHw0",
        "colab_type": "text"
      },
      "source": [
        "### **4. Jumlah harga yang dibayarkan berdasarkan tipe kamar per malamnya**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2pnt8QlxoCXi",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Membagi data berdasarkan hotel (Resort Hotel dan City Hotel) yang tidak di cancel\n",
        "rh = data_no_outlier[(data_no_outlier['hotel'] == 'Resort Hotel') & (data_no_outlier['is_canceled'] == 0)]\n",
        "ch = data_no_outlier[(data_no_outlier['hotel'] != 'Resort Hotel') & (data_no_outlier['is_canceled'] == 0)]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YLSa7VPjoCft",
        "colab_type": "code",
        "outputId": "44e527df-7601-4185-be0c-9393d5f95405",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        }
      },
      "source": [
        "# menghitung ADR (Average Daily Rate) untuk perorangan (pengecualian untuk bayi)\n",
        "rh['adr_pp'] = rh['adr'] / (rh['adults'] + rh['children'])\n",
        "ch['adr_pp'] = ch['adr'] / (ch['adults'] + ch['children'])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning:\n",
            "\n",
            "\n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "\n",
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:2: SettingWithCopyWarning:\n",
            "\n",
            "\n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "N7AVLmw_vI7K",
        "colab_type": "text"
      },
      "source": [
        "Dikarenakan hotel ini memiliki banyak pengunjung yang berasal dari Portugal, maka kemungkinan besar mata uang yang digunakan adalah Euro €. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y_R1txhFu9nf",
        "colab_type": "code",
        "outputId": "95154318-96e8-4334-ea60-5818cbd759be",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 87
        }
      },
      "source": [
        "print(f\"\"\"\n",
        "    Rata-rata harga yang dibayarkan oleh per orang per malam adalah:\n",
        "    Resort Hotel: {rh['adr_pp'].mean():.2f} €\n",
        "    City Hotel: {ch['adr_pp'].mean():.2f} €\"\"\" \n",
        "    )"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\n",
            "    Rata-rata harga yang dibayarkan oleh per orang per malam adalah:\n",
            "    Resort Hotel: 44.50 €\n",
            "    City Hotel: 58.82 €\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_qWEw9QKu9jd",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "full_data_guests = data.copy()\n",
        "full_data_guests = full_data_guests.loc[full_data_guests['is_canceled'] == 0]\n",
        "full_data_guests['adr_pp'] = full_data_guests['adr'] / (full_data_guests['adults'] + full_data_guests['children'])\n",
        "room_prices = full_data_guests[['hotel', 'reserved_room_type', 'adr_pp']].sort_values(\"reserved_room_type\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZSAcFCl7u9eQ",
        "colab_type": "code",
        "outputId": "08971cd5-6a15-4309-ec5e-f7afb8a1a1fc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 357
        }
      },
      "source": [
        "plt.figure(figsize=(10,5))\n",
        "sns.barplot(x='reserved_room_type', y='adr_pp', hue='hotel', data=room_prices, hue_order=['City Hotel', 'Resort Hotel'], palette='pastel')\n",
        "plt.title('Harga tipe kamar setiap malam per orangan berdasarkan hotel', fontsize=16)\n",
        "plt.xlabel('Tipe Kamar', fontsize = 16)\n",
        "plt.ylabel('Harga (€)', fontsize = 16)\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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A2rZtCz09PcTGxmLLli3Q0dFhIktUAkzSKoCqVavi8uXLCA4Oxtu3b6Gvrw8X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\nrkJggg==\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g36NsTBE0yMF",
        "colab_type": "text"
      },
      "source": [
        "BACOT SINI"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YLEN7Fjagm_3",
        "colab_type": "text"
      },
      "source": [
        "### **5. Tipe Kamar Yang Paling Banyak dipesan**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "shoXu12-jPiV",
        "colab_type": "code",
        "outputId": "5470b2ea-f3c6-45fd-a6a7-40c0bff6ec08",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 386
        }
      },
      "source": [
        "print('Frekuensi pemesanan tiap-tiap tipe kamar pada CITY HOTEL')\n",
        "print(data[(data['hotel'] == 'City Hotel')]['reserved_room_type'].value_counts())\n",
        "print()\n",
        "print('Frekuensi pemesanan tiap-tiap tipe kamar pada RESORT HOTEL')\n",
        "print(data[data['hotel'] != 'City Hotel']['reserved_room_type'].value_counts())"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Frekuensi pemesanan tiap-tiap tipe kamar pada CITY HOTEL\n",
            "A    62484\n",
            "D    11747\n",
            "F     1788\n",
            "E     1537\n",
            "B     1112\n",
            "G      482\n",
            "C       13\n",
            "Name: reserved_room_type, dtype: int64\n",
            "\n",
            "Frekuensi pemesanan tiap-tiap tipe kamar pada RESORT HOTEL\n",
            "A    23389\n",
            "D     7432\n",
            "E     4982\n",
            "G     1610\n",
            "F     1106\n",
            "C      918\n",
            "H      601\n",
            "L        6\n",
            "B        3\n",
            "Name: reserved_room_type, dtype: int64\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fi1_92CtiZ9U",
        "colab_type": "code",
        "outputId": "54a0e760-545b-455c-e54c-fe8b72a576b7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        }
      },
      "source": [
        "sns.countplot(x = 'reserved_room_type', data = data.sort_values('reserved_room_type'), hue='hotel') "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f97a799d9b0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 217
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Zs4Ha0ElKSmLNmjWsXbuWpKQke/DMnj2bhIQE0tPTyc/PJzMz09m7IyIi52jyE+sZGRn2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\nHKYQERERhylERETEYQoRERFx2P8BgqUdMsxfzIkAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Zx0sz2wV2DM6",
        "colab_type": "text"
      },
      "source": [
        "### **6. Perbandingan `market_segment` berdasarkan hotel**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0xKzSlWSu9Zz",
        "colab_type": "code",
        "outputId": "c72019be-94a8-487d-bc8e-8b329bc8d4ce",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 351
        }
      },
      "source": [
        "data_canceled = data[data['is_canceled'] == 1].sort_values('market_segment')\n",
        "data_not_canceled = data[data['is_canceled'] == 0].sort_values('market_segment')\n",
        "f, ax = plt.subplots(1,2,figsize=(20,5))\n",
        "sns.countplot(data=data_canceled, x= 'market_segment', hue='hotel', ax =ax[0])\n",
        "sns.countplot(data=data_not_canceled, x= 'market_segment', hue='hotel', ax =ax[1])\n",
        "ax[0].set(title='Market Segment untuk booking yang dibatalkan berdasarkan hotel')\n",
        "ax[1].set(title='Market Segment untuk booking yang berhasil berdasarkan hotel')\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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+E5EbpUftRERERERERETELvSonYiIiIiIiIiI2IUSTyIiIiIiIiIiYhe33Tue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\nc2eCgoJYuXKlrfz48eP07duXoKAgxow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79+51/GNz/djr7++v7du3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\nAJcg8QQAAAAAAACX+H8ZFbLBWWQc4wAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 1440x360 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tBqpbwWxQxUG",
        "colab_type": "text"
      },
      "source": [
        "BACOT DI SINI"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZWeHJOGwWJJP",
        "colab_type": "text"
      },
      "source": [
        "### **7. Korelasi setiap feature yang ada**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OkKhF6QUOSlf",
        "colab_type": "code",
        "outputId": "0214a0a5-6abc-4389-8a99-f083c4c65fd5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "plt.figure(figsize=(20, 20))\n",
        "sns.heatmap(data.corr(), annot=True)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f97a77dde48>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 219
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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U3n33XaKiolAoFOToTaC0aNECGxvt/lnu7u7cunWL5OTkIh/n8OHD7Nu3j++/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39e58DklQSHjQaLhai1e4n6ZY/92KWDGxDeI+ceX7akmFk/YjodbfX20LwNxB49S0NbvT0RvouD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VHDgXj4FqX+pJ5c2nyQ5PhElrf9mJhr4bgUcKfFwv8RfvYKVx9wSdx/wfPvtCIlKZkjy9Nf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\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N7Y2Dp/EWZwsLnnynMwd/3nDfMRfEZ9XO1THr4Ra1ezbn/K5jpCYksXXCr0xu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\n4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gYGjBw5kr59+2JjY0OVKv90UN9//z2zZs1i5cqVpKam0rVrV+zs7Pjuu+949OgRKpWK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\nyYE8VQlIAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 1440x1440 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "al7J3hOQkWMX",
        "colab_type": "text"
      },
      "source": [
        "Dapat kita lihat disini bahwa terdapat korelasi yang kuat antara beberapa hal:\n",
        "1. lead_time dengan is_cancelled\n",
        "\n",
        "Peluang pembatalan pemesanan akan jauh lebih tinggi terjadi pada pelanggan yang melakukan pemesanan dari jauh hari karena rencana yang sudah direncanakan dari jauh hari lebih mungkin untuk berubah karena peristiwa yang tidak terduga. Faktor lain yang mungkin menjadi alasan mengapa pelanggan membatalkan pemesanan yang dilakukan dari jauh hari (yang seringkali dipermudah dengan opsi untuk melakukannya secara gratis) adalah karena perubahan rencana, bencana alam, atau penyakit yang datang secara mendadak.\n",
        "2. previous_bookings_not_cancelled dengan is_repeated\n",
        "\n",
        "Dapat kita simpulkan dari data yang terdapat disini bahwa sebagian besar dari pelanggan yang melakukan pemesanan order secara berulang tidak membatalkan pemesanan di pemesanan mereka sebelumnya dikarenakan mereka puas dengan pelayanan yang ada di hotel. Dari sini kita dapat mengetahui bahwa jika kita dapat mengurangi tingkat pembatalan pada pemesananan hotel, kita akan mempunyai peluang lebih tinggi untuk meningkatkan jumlah pelanggan yang akan melakukan pemesananan secara berulang \n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7-wP5bLCebJ-",
        "colab_type": "text"
      },
      "source": [
        "### **8. Persentase Orang dewasa yang membawa anak dengan yang tidak**\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BlEltupk1Dtx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "adult_only = data[(data['adults'] != 0) & (data['children'] == 0) & (data['babies'] == 0)].sort_values('reserved_room_type')\n",
        "adult_child = data[(data['adults'] != 0) & (data['children'] != 0) | (data['babies'] != 0)].sort_values('reserved_room_type')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UVzB7irf1Dq2",
        "colab_type": "code",
        "outputId": "09c2f93f-1b99-4a73-c5e9-42038f71bf08",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 429
        }
      },
      "source": [
        "percentage = [(len(adult_only)/(len(adult_only) + len(adult_child)))*100, (len(adult_child)/(len(adult_only) + len(adult_child)))*100]\n",
        "labels = 'Tidak Membawa Anak', 'Membawa Anak'\n",
        "\n",
        "f, ax = plt.subplots(figsize=(7,7))\n",
        "ax.pie(percentage, labels = labels, autopct='%1.1f%%' , startangle = 180)\n",
        "ax.axis('equal')\n",
        "\n",
        "ax.set_title('Persentase orang dewasa yang membawa anak dan tidak', fontsize=16)\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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TQlSCkehEI1EJRqISjdxJNqOqT68uF51CoTxu+Hi7UziPG0W83SmS153i+Two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\njwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 504x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ofrNdg30wchu",
        "colab_type": "text"
      },
      "source": [
        "### **9. Berapa banyak booking yang di cancel?**\n",
        "\n",
        "Dari sini kita dapat melihat bahwa lebih banyak cancellation yang terjadi saat proses booking terjadi di city hotel daripada resort hotel. Ini dapat terjadi mungkin karena orang yang memesan di resort hotel yang terletak di daerah yang cenderung lebih sunyi dan jauh dari perkotaan , memang sudah jelas ingin liburan. Hal ini berbanding terbalik dengan proses booking yang terjadi di city hotel.  "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WdLzGv9a9N_C",
        "colab_type": "code",
        "outputId": "65e332a0-8a07-468c-dd4f-d832b5a7ddb1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        }
      },
      "source": [
        "total_cancelations = data['is_canceled'].sum()\n",
        "rh_cancelations = data.loc[data[\"hotel\"] == \"Resort Hotel\"][\"is_canceled\"].sum()\n",
        "ch_cancelations = data.loc[data[\"hotel\"] == \"City Hotel\"][\"is_canceled\"].sum()\n",
        "\n",
        "# mencari persentase\n",
        "rel_cancel = (total_cancelations / data.shape[0]) * 100\n",
        "rh_rel_cancel = (rh_cancelations / data.loc[data[\"hotel\"] == \"Resort Hotel\"].shape[0]) * 100\n",
        "ch_rel_cancel = (ch_cancelations / data.loc[data[\"hotel\"] == \"City Hotel\"].shape[0]) * 100\n",
        "\n",
        "print(f\"Banyak Booking yang dicancel: {total_cancelations:} ({rel_cancel:.0f} %)\")\n",
        "print(f\"Banyak booking Resort hotel yang dicancel: {rh_cancelations:} ({rh_rel_cancel:.0f} %)\")\n",
        "print(f\"Banyak booking City hotel yang dicancel: {ch_cancelations:} ({ch_rel_cancel:.0f} %)\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Banyak Booking yang dicancel: 44199 (37 %)\n",
            "Banyak booking Resort hotel yang dicancel: 11120 (28 %)\n",
            "Banyak booking City hotel yang dicancel: 33079 (42 %)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "PivMSwWpNK1D",
        "colab_type": "text"
      },
      "source": [
        "### **10. Berapa banyak total cancel setiap bulannya?**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NBlx_kjv9N8k",
        "colab_type": "code",
        "outputId": "c297fd90-742d-49bb-93a2-73d1e2e91317",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 556
        }
      },
      "source": [
        "res_book_per_month = data.loc[(data[\"hotel\"] == \"Resort Hotel\")].groupby(\"arrival_date_month\")[\"hotel\"].count()\n",
        "res_cancel_per_month = data.loc[(data[\"hotel\"] == \"Resort Hotel\")].groupby(\"arrival_date_month\")[\"is_canceled\"].sum()\n",
        "\n",
        "cty_book_per_month = data.loc[(data[\"hotel\"] == \"City Hotel\")].groupby(\"arrival_date_month\")[\"hotel\"].count()\n",
        "cty_cancel_per_month = data.loc[(data[\"hotel\"] == \"City Hotel\")].groupby(\"arrival_date_month\")[\"is_canceled\"].sum()\n",
        "\n",
        "res_cancel_data = pd.DataFrame({\"Hotel\": \"Resort Hotel\",\n",
        "                                \"Month\": list(res_book_per_month.index),\n",
        "                                \"Bookings\": list(res_book_per_month.values),\n",
        "                                \"Cancelations\": list(res_cancel_per_month.values)})\n",
        "\n",
        "cty_cancel_data = pd.DataFrame({\"Hotel\": \"City Hotel\",\n",
        "                                \"Month\": list(cty_book_per_month.index),\n",
        "                                \"Bookings\": list(cty_book_per_month.values),\n",
        "                                \"Cancelations\": list(cty_cancel_per_month.values)})\n",
        "\n",
        "full_cancel_data = pd.concat([res_cancel_data, cty_cancel_data], ignore_index=True)\n",
        "full_cancel_data[\"cancel_percent\"] = full_cancel_data[\"Cancelations\"] / full_cancel_data[\"Bookings\"] * 100\n",
        "\n",
        "ordered_months = [\"January\", \"February\", \"March\", \"April\", \"May\", \"June\", \n",
        "          \"July\", \"August\", \"September\", \"October\", \"November\", \"December\"]\n",
        "full_cancel_data[\"Month\"] = pd.Categorical(full_cancel_data[\"Month\"], categories=ordered_months, ordered=True)\n",
        "\n",
        "plt.figure(figsize=(12, 8))\n",
        "sns.barplot(x = \"Month\", y = \"cancel_percent\" , hue=\"Hotel\",\n",
        "            hue_order = [\"City Hotel\", \"Resort Hotel\"], data=full_cancel_data, palette = 'pastel')\n",
        "plt.title(\"Cancelations setiap bulan\", fontsize=16)\n",
        "plt.xlabel(\"Bulan\", fontsize=16)\n",
        "plt.xticks(rotation=45)\n",
        "plt.ylabel(\"Cancelations [%]\", fontsize=16)\n",
        "plt.legend(loc=\"upper right\")\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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AAFAwa74hby9LiWsb/0OQBgAAcAMGyEo+pnYAAAAAJhCkAQAAABMI0gAAAIAJ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\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "01tdStuxNtSl",
        "colab_type": "text"
      },
      "source": [
        "BACOT DI SINI"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FWwPs8XmQSxf",
        "colab_type": "text"
      },
      "source": [
        "### **11. Banyak Pembatalan berdasarkan `market_segment`**\n",
        "\n",
        "Dapat dilihat dari grafik bahwa pembatalan pemesanan paling banyak terjadi di online travel agent karena kemudahan dalam memesan dan membatalkan yang ditawarkan oleh pihak online travel agent. Hal ini membuat calon pelangga jadi tidak berpikir 2 kali untuk memesan hotel karena kemudahan yang ditawarkan serta biaya pembatalan yang sering gratis. Kombinasi dari beberapa hal ini menyebabkan tingginya pembatalan ada pemesananan tiket lewat online travel agent. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b6ucGeqq9N51",
        "colab_type": "code",
        "outputId": "cc7634eb-afe5-4d43-8d00-4d28fcdfb84a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 353
        }
      },
      "source": [
        "plt.figure(figsize=(15,5))\n",
        "sns.countplot(x='market_segment', data=data.sort_values('market_segment'), hue = 'is_canceled')\n",
        "\n",
        "plt.legend(title='Dibatalkan?', loc='best', labels=['Tidak', 'Ya'])\n",
        "plt.title('Total Pembatalan Berdasarkan Market Segment', size = 16)\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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fFB4errfffltms1mSdOHCBb3yyiv69ddfZTKZlJ2dbe3foUMHVa1aVZJ03333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\nQmCC\n",
            "text/plain": [
              "<Figure size 1080x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "koK793xteOd-",
        "colab_type": "text"
      },
      "source": [
        "### **12. Distribusi ADR**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "v-WdRxPKeTPy",
        "colab_type": "code",
        "outputId": "c3d17de4-3789-4567-b4d0-41d784faec50",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 297
        }
      },
      "source": [
        "sns.distplot(data[data['adr'] > 0]['adr'])"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f97a82f80b8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 225
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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vVwOAxLMAK3Jcs34sQggxlzKqAVRUVEw6OW/fvj35s8vlYu/evVNu29DQQEND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\nQlMSAEIIoan/Dw+hbYuIYp5aAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "t9FsRo8_2OgH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EvmLjLaB8hAo",
        "colab_type": "text"
      },
      "source": [
        "## Machine Learning Modelling"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mvSpIvlra8nB",
        "colab_type": "text"
      },
      "source": [
        "Setelah melakukan observasi, maka didapati ada beberapa fitur yang dianggap tidak perlu. Oleh karena itu pemilihan ini dilakukan secara manual."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "677SzxIlgKLl",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import train_test_split, KFold, cross_validate, cross_val_score\n",
        "from sklearn.pipeline import Pipeline\n",
        "from sklearn.compose import ColumnTransformer\n",
        "from sklearn.preprocessing import LabelEncoder, OneHotEncoder, StandardScaler\n",
        "from sklearn.impute import SimpleImputer\n",
        "from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier, GradientBoostingClassifier, ExtraTreesClassifier\n",
        "from xgboost import XGBClassifier, plot_importance, DMatrix, train\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.metrics import make_scorer, accuracy_score, precision_score, recall_score, f1_score"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cQN1DZN0TxUV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "dtrain = pd.read_csv('https://raw.githubusercontent.com/kevinasyraf/find-it-2020-dac/master/hotel_bookings.csv')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OdFK9Og5xa09",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "nan_replacements = {\"children:\": 0.0,\"country\": \"Unknown\", \"agent\": 0, \"company\": 0}\n",
        "dtrain = dtrain.fillna(nan_replacements)\n",
        "\n",
        "# \"meal\" contains values \"Undefined\", which is equal to SC.\n",
        "dtrain[\"meal\"].replace(\"Undefined\", \"SC\", inplace=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xiNy8T73VzOQ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "dtrain=dtrain.drop(['company'],axis=1)\n",
        "dtrain=dtrain.dropna(axis=0)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_ThFmoyFVzLV",
        "colab_type": "code",
        "outputId": "b83b9f14-6409-49bf-a9d0-0c579fdd635f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 580
        }
      },
      "source": [
        "dtrain.isna().sum()"
      ],
      "execution_count": 0,
      "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": {
            "tags": []
          },
          "execution_count": 230
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D20A55ErWEyS",
        "colab_type": "text"
      },
      "source": [
        "### Label Encoding"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FTH4iXfZWN24",
        "colab_type": "text"
      },
      "source": [
        "Setiap data categorical akan kita encode menjadi sebuah angka. ini bertujuan agar memudahkan melakukan train pada machine learning karena mesin lebih mudah menerima data berupa angka dibanding string."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sb_LyAtjVzIK",
        "colab_type": "code",
        "outputId": "f98154a5-b8b6-4fb2-a672-102ae3ca377a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# hotel\n",
        "dtrain['hotel']=dtrain['hotel'].map({'Resort Hotel':0,'City Hotel':1})\n",
        "dtrain['hotel'].unique()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 231
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "X5L0ecFTVzGR",
        "colab_type": "code",
        "outputId": "3b002174-0b3d-41fe-d934-912bf5fe6dbc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# arrival_date_month\n",
        "dtrain['arrival_date_month'] = dtrain['arrival_date_month'].map({'July':7,'August':8,'September':9,'October':10\n",
        "                                                                ,'November':11,'December':12,'January':1,'February':2,'March':3,\n",
        "                                                                'April':4,'May':5,'June':6})\n",
        "dtrain['arrival_date_month'].unique()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 7,  8,  9, 10, 11, 12,  1,  2,  3,  4,  5,  6])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 232
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tsqB_gGUX20-",
        "colab_type": "text"
      },
      "source": [
        "Sekarang kita akan memanfaatkan library LabelEncoder. Jauh lebih cepat dan efisien ketimbang mendefinisikan value dari data categoricalnya satu-satu."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mOfidpgzVzDS",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "label_encoder = LabelEncoder()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Tln0yCUOVzCR",
        "colab_type": "code",
        "outputId": "3aa2df8d-bbb3-41c3-80b5-48c0e897cf65",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "dtrain['meal']=label_encoder.fit_transform(dtrain['meal'])\n",
        "dtrain['meal'].unique()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1, 2, 3])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 234
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XTRiUOOqVzAS",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "dtrain['country']=label_encoder.fit_transform(dtrain['country'])\n",
        "dtrain['market_segment']=label_encoder.fit_transform(dtrain['market_segment'])\n",
        "dtrain['distribution_channel']=label_encoder.fit_transform(dtrain['distribution_channel'])\n",
        "dtrain['reserved_room_type']=label_encoder.fit_transform(dtrain['reserved_room_type'])\n",
        "dtrain['assigned_room_type']=label_encoder.fit_transform(dtrain['assigned_room_type'])\n",
        "dtrain['deposit_type']=label_encoder.fit_transform(dtrain['deposit_type'])\n",
        "dtrain['customer_type']=label_encoder.fit_transform(dtrain['customer_type'])\n",
        "dtrain['reservation_status']=label_encoder.fit_transform(dtrain['reservation_status'])\n",
        "dtrain['reservation_status_date']=label_encoder.fit_transform(dtrain['reservation_status_date'])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OMQMiOHFVy9E",
        "colab_type": "code",
        "outputId": "5d13bca7-bad3-451d-c043-03978afc8c90",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 215
        }
      },
      "source": [
        "dtrain.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>hotel</th>\n",
              "      <th>is_canceled</th>\n",
              "      <th>lead_time</th>\n",
              "      <th>arrival_date_year</th>\n",
              "      <th>arrival_date_month</th>\n",
              "      <th>arrival_date_week_number</th>\n",
              "      <th>arrival_date_day_of_month</th>\n",
              "      <th>stays_in_weekend_nights</th>\n",
              "      <th>stays_in_week_nights</th>\n",
              "      <th>adults</th>\n",
              "      <th>children</th>\n",
              "      <th>babies</th>\n",
              "      <th>meal</th>\n",
              "      <th>country</th>\n",
              "      <th>market_segment</th>\n",
              "      <th>distribution_channel</th>\n",
              "      <th>is_repeated_guest</th>\n",
              "      <th>previous_cancellations</th>\n",
              "      <th>previous_bookings_not_canceled</th>\n",
              "      <th>reserved_room_type</th>\n",
              "      <th>assigned_room_type</th>\n",
              "      <th>booking_changes</th>\n",
              "      <th>deposit_type</th>\n",
              "      <th>agent</th>\n",
              "      <th>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>0</td>\n",
              "      <td>0</td>\n",
              "      <td>342</td>\n",
              "      <td>2015</td>\n",
              "      <td>7</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>135</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>668</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>737</td>\n",
              "      <td>2015</td>\n",
              "      <td>7</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>135</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>668</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>2015</td>\n",
              "      <td>7</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>59</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>75.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>701</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>13</td>\n",
              "      <td>2015</td>\n",
              "      <td>7</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>59</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>304.0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>75.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>701</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>14</td>\n",
              "      <td>2015</td>\n",
              "      <td>7</td>\n",
              "      <td>27</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>59</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>240.0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>98.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>734</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   hotel  is_canceled  ...  reservation_status  reservation_status_date\n",
              "0      0            0  ...                   1                      668\n",
              "1      0            0  ...                   1                      668\n",
              "2      0            0  ...                   1                      701\n",
              "3      0            0  ...                   1                      701\n",
              "4      0            0  ...                   1                      734\n",
              "\n",
              "[5 rows x 31 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 236
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4iq7fCvtaeJA",
        "colab_type": "text"
      },
      "source": [
        "### Feature Extraction"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ivDY4ZwbVy5o",
        "colab_type": "code",
        "outputId": "a451d9b2-c521-42dd-84ed-ace02620b983",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 580
        }
      },
      "source": [
        "# Gathering which feature is more important.....using corr() function\n",
        "correlation=dtrain.corr()['is_canceled']\n",
        "correlation.abs().sort_values(ascending=False)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "is_canceled                       1.000000\n",
              "reservation_status                0.917191\n",
              "deposit_type                      0.468665\n",
              "lead_time                         0.293177\n",
              "country                           0.264709\n",
              "total_of_special_requests         0.234706\n",
              "required_car_parking_spaces       0.195492\n",
              "assigned_room_type                0.176025\n",
              "distribution_channel              0.167544\n",
              "booking_changes                   0.144371\n",
              "reservation_status_date           0.143258\n",
              "hotel                             0.136505\n",
              "previous_cancellations            0.110140\n",
              "is_repeated_guest                 0.084788\n",
              "customer_type                     0.068210\n",
              "reserved_room_type                0.061284\n",
              "adults                            0.059990\n",
              "market_segment                    0.059314\n",
              "previous_bookings_not_canceled    0.057355\n",
              "days_in_waiting_list              0.054193\n",
              "adr                               0.047622\n",
              "agent                             0.046503\n",
              "babies                            0.032488\n",
              "stays_in_week_nights              0.024771\n",
              "arrival_date_year                 0.016732\n",
              "meal                              0.015671\n",
              "arrival_date_month                0.011002\n",
              "arrival_date_week_number          0.008132\n",
              "arrival_date_day_of_month         0.006084\n",
              "children                          0.005048\n",
              "stays_in_weekend_nights           0.001783\n",
              "Name: is_canceled, dtype: float64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 237
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-PlPM_-hWK6E",
        "colab_type": "code",
        "outputId": "4fe1db70-5bcc-4199-d194-95f6a356c9af",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 215
        }
      },
      "source": [
        "cols=['arrival_date_day_of_month','children',\n",
        "     'arrival_date_week_number','stays_in_week_nights','reservation_status']\n",
        "dtrain=dtrain.drop(cols,axis=1)\n",
        "dtrain.head(5)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>hotel</th>\n",
              "      <th>is_canceled</th>\n",
              "      <th>lead_time</th>\n",
              "      <th>arrival_date_year</th>\n",
              "      <th>arrival_date_month</th>\n",
              "      <th>stays_in_weekend_nights</th>\n",
              "      <th>adults</th>\n",
              "      <th>babies</th>\n",
              "      <th>meal</th>\n",
              "      <th>country</th>\n",
              "      <th>market_segment</th>\n",
              "      <th>distribution_channel</th>\n",
              "      <th>is_repeated_guest</th>\n",
              "      <th>previous_cancellations</th>\n",
              "      <th>previous_bookings_not_canceled</th>\n",
              "      <th>reserved_room_type</th>\n",
              "      <th>assigned_room_type</th>\n",
              "      <th>booking_changes</th>\n",
              "      <th>deposit_type</th>\n",
              "      <th>agent</th>\n",
              "      <th>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_date</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>342</td>\n",
              "      <td>2015</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>135</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>668</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>737</td>\n",
              "      <td>2015</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>135</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>668</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>7</td>\n",
              "      <td>2015</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>59</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>75.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>701</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>13</td>\n",
              "      <td>2015</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>59</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>304.0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>75.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>701</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>14</td>\n",
              "      <td>2015</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>59</td>\n",
              "      <td>6</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>240.0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>98.0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>734</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   hotel  is_canceled  ...  total_of_special_requests  reservation_status_date\n",
              "0      0            0  ...                          0                      668\n",
              "1      0            0  ...                          0                      668\n",
              "2      0            0  ...                          0                      701\n",
              "3      0            0  ...                          0                      701\n",
              "4      0            0  ...                          1                      734\n",
              "\n",
              "[5 rows x 26 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 238
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dbGWZ1ZFWK5K",
        "colab_type": "code",
        "outputId": "c576e190-2f34-4968-b904-40e1890127aa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "dtrain.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(119386, 26)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 239
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ddMbQqmmi1Xe",
        "colab_type": "text"
      },
      "source": [
        "### Membangun Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xU19O0I9WK17",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "y=dtrain['is_canceled'].values\n",
        "x=dtrain.drop(['is_canceled'],axis=1).values"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_QZIaGR0bOnp",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# dataset split.\n",
        "train_size=0.80\n",
        "test_size=0.20\n",
        "seed=5\n",
        "\n",
        "x_train,x_test,y_train,y_test=train_test_split(x,y,train_size=train_size,test_size=test_size,random_state=seed)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "I2XWp-jZbOme",
        "colab_type": "code",
        "outputId": "8d4489ed-38c6-47d1-c093-8c4787eebba4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        }
      },
      "source": [
        "ensembles=[]\n",
        "ensembles.append(('scaledRFC',Pipeline([('scale',StandardScaler()),('rf',RandomForestClassifier(n_estimators=10))])))\n",
        "\n",
        "results=[]\n",
        "names=[]\n",
        "for name,model in ensembles:\n",
        "    fold = KFold(n_splits=10,random_state=5)\n",
        "    result = cross_val_score(model,x_train,y_train,cv=fold,scoring='accuracy')\n",
        "    results.append(result)\n",
        "    names.append(name)\n",
        "    msg=\"%s : %f (%f)\"%(name,result.mean(),result.std())\n",
        "    print(msg)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/sklearn/model_selection/_split.py:296: FutureWarning:\n",
            "\n",
            "Setting a random_state has no effect since shuffle is False. This will raise an error in 0.24. You should leave random_state to its default (None), or set shuffle=True.\n",
            "\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "scaledRFC : 0.931576 (0.002612)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sMJTKkLWdd9B",
        "colab_type": "text"
      },
      "source": [
        "Berdasarkan training model di atas menggunakan RFC dan standardscaler, maka di dapatkan hasil akurasinya Random Forest Classifier **0.931576 (0.002612)**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "65OVPbHwbOkw",
        "colab_type": "code",
        "outputId": "d58e670f-5b4d-462f-f3be-d5d15ab6870f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        }
      },
      "source": [
        "# Random Forest Classifier Tuning\n",
        "from sklearn.model_selection import GridSearchCV\n",
        "\n",
        "scaler=StandardScaler().fit(x_train)\n",
        "rescaledx=scaler.transform(x_train)\n",
        "\n",
        "n_estimators=[10,20,30,40,50]\n",
        "\n",
        "param_grid=dict(n_estimators=n_estimators)\n",
        "\n",
        "model=RandomForestClassifier()\n",
        "\n",
        "fold=KFold(n_splits=10,random_state=0)\n",
        "\n",
        "grid=GridSearchCV(estimator=model,param_grid=param_grid,scoring='accuracy',cv=fold)\n",
        "grid_result=grid.fit(rescaledx,y_train)\n",
        "\n",
        "print(\"Best: %f using %s \"%(grid_result.best_score_,grid_result.best_params_))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/sklearn/model_selection/_split.py:296: FutureWarning:\n",
            "\n",
            "Setting a random_state has no effect since shuffle is False. This will raise an error in 0.24. You should leave random_state to its default (None), or set shuffle=True.\n",
            "\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Best: 0.940309 using {'n_estimators': 40} \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "14b-0nV2VhYt",
        "colab_type": "text"
      },
      "source": [
        "#### Random Forest"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1gCaXUJIiKTO",
        "colab_type": "text"
      },
      "source": [
        "Berdasarkan hasil kedua tuning di atas. Maka Random Forest akan digunakan untuk melakukan prdiksi dari data kita. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LyfSv9-lbOdb",
        "colab_type": "code",
        "outputId": "1949b676-0278-46d9-cc6f-2442a4f21958",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        }
      },
      "source": [
        "from sklearn.metrics import confusion_matrix\n",
        "\n",
        "scaler=StandardScaler().fit(x_train)\n",
        "scaler_x=scaler.transform(x_train)\n",
        "model=RandomForestClassifier(n_estimators=40)\n",
        "model.fit(scaler_x,y_train)\n",
        "\n",
        "#Transform the validation test set data\n",
        "scaledx_test=scaler.transform(x_test)\n",
        "y_pred=model.predict(scaledx_test)\n",
        "\n",
        "accuracy_mean=accuracy_score(y_test,y_pred)\n",
        "accuracy_matric=confusion_matrix(y_test,y_pred)\n",
        "print(accuracy_mean)\n",
        "print(accuracy_matric)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.944132674428344\n",
            "[[14698   304]\n",
            " [ 1030  7846]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e_AR8CwbbOY6",
        "colab_type": "code",
        "outputId": "2ac0da02-cbb5-48e4-d677-c56e575c5159",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# prediksi keseluruhan data dengan mentransform datanya terlebih dahulu\n",
        "y_pred = model.predict(scaler.transform(x))\n",
        "print(accuracy_score(y, y_pred))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0.9886418843080428\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "w3asMGhSlYzo",
        "colab_type": "text"
      },
      "source": [
        "Dan kita berhasil mendapatkan akurasi sebesar 98,86 % :D\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Vul_9CuOWK0Q",
        "colab_type": "code",
        "outputId": "372ea449-a457-45c1-b289-f923aee4d458",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 343
        }
      },
      "source": [
        "predicted_data = pd.DataFrame({'is_canceled' : pd.Series(y_pred)})\n",
        "predicted_data.head(10)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>is_canceled</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   is_canceled\n",
              "0            0\n",
              "1            0\n",
              "2            0\n",
              "3            0\n",
              "4            0\n",
              "5            0\n",
              "6            0\n",
              "7            0\n",
              "8            1\n",
              "9            1"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZhlRXX7xWKus",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# saatnya untuk mengexport hasil prediksi ke dalam file excel\n",
        "predicted_data.to_excel('ORANG_TUA_UNIVERSITAS_INDONESIA_IQRAR_AGALOSI_NUREYZA.xlsx', index=False)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "O0Pvg77n1ik6",
        "colab_type": "code",
        "outputId": "e200aa8b-32af-4c21-bc52-9796c4711e6c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "predicted_data.shape"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(119386, 1)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 82
        }
      ]
    }
  ]
}