destination_recommender.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DjKOBfaM9br6",
        "outputId": "343157d1-70a2-4568-a829-48b36845b3c0"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: plotly_express in /usr/local/lib/python3.10/dist-packages (0.4.1)\n",
            "Requirement already satisfied: pandas>=0.20.0 in /usr/local/lib/python3.10/dist-packages (from plotly_express) (1.5.3)\n",
            "Requirement already satisfied: plotly>=4.1.0 in /usr/local/lib/python3.10/dist-packages (from plotly_express) (5.13.1)\n",
            "Requirement already satisfied: statsmodels>=0.9.0 in /usr/local/lib/python3.10/dist-packages (from plotly_express) (0.13.5)\n",
            "Requirement already satisfied: scipy>=0.18 in /usr/local/lib/python3.10/dist-packages (from plotly_express) (1.10.1)\n",
            "Requirement already satisfied: patsy>=0.5 in /usr/local/lib/python3.10/dist-packages (from plotly_express) (0.5.3)\n",
            "Requirement already satisfied: numpy>=1.11 in /usr/local/lib/python3.10/dist-packages (from plotly_express) (1.22.4)\n",
            "Requirement already satisfied: python-dateutil>=2.8.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.20.0->plotly_express) (2.8.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas>=0.20.0->plotly_express) (2022.7.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.10/dist-packages (from patsy>=0.5->plotly_express) (1.16.0)\n",
            "Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from plotly>=4.1.0->plotly_express) (8.2.2)\n",
            "Requirement already satisfied: packaging>=21.3 in /usr/local/lib/python3.10/dist-packages (from statsmodels>=0.9.0->plotly_express) (23.1)\n"
          ]
        }
      ],
      "source": [
        "import pandas as pd\n",
        "\n",
        "import plotly\n",
        "import plotly.offline as py\n",
        "import plotly.graph_objs as go\n",
        "!pip install plotly_express\n",
        "import plotly_express as px\n",
        "\n",
        "from sklearn.cluster import KMeans\n",
        "from sklearn.metrics import silhouette_score\n",
        "import numpy.ma as ma\n",
        "import matplotlib.pyplot as plt\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dwSfxLep01Nq",
        "outputId": "d097a2f7-becf-452f-a6d8-88028751939a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n",
            "/content/drive/Shareddrives/C23-PS139-ML\n",
            "total 6665\n",
            "-rw------- 1 root root  105986 Jun 15 08:23  content_based_data.csv\n",
            "drwx------ 2 root root    4096 May 27 14:59  \u001b[0m\u001b[01;34mcsv\u001b[0m/\n",
            "drwx------ 2 root root    4096 May 30 12:48  \u001b[01;34mdata\u001b[0m/\n",
            "-rw------- 1 root root  711896 Jun 15 14:10  DELETE_destination_recommender_model.h5\n",
            "-rw------- 1 root root  702680 Jun 15 14:27  destination_recommender_model.h5\n",
            "-rw------- 1 root root 2673790 Jun 14 14:46  dfs.csv\n",
            "-rw------- 1 root root     275 May 29 13:30  env.env\n",
            "-rw------- 1 root root   42028 Jun 15 07:54 'Hotel recommender final_v1.ipynb'\n",
            "-rw------- 1 root root    1391 Jun 14 09:34  install_chromium_driver.sh\n",
            "drwx------ 2 root root    4096 May 25 09:07  \u001b[01;34m.ipynb_checkpoints\u001b[0m/\n",
            "-rw------- 1 root root    5022 Jun  9 16:44  keyword_categories.json\n",
            "-rw------- 1 root root   10848 Jun 15 14:23  keyword_categories_v1.json\n",
            "drwx------ 2 root root    4096 May 25 08:43  \u001b[01;34mlogs\u001b[0m/\n",
            "-rw------- 1 root root  179203 Jun  3 02:13  ner.ipynb\n",
            "-rw------- 1 root root  702680 Jun 15 08:28  old_destination_recommender_model.h5\n",
            "-rw------- 1 root root  405969 Jun 15 14:02 'recommender final.ipynb'\n",
            "-rw------- 1 root root   24496 Jun 14 09:06  recommender.ipynb\n",
            "-rw------- 1 root root  459370 Jun 15 03:00 'recommender tempat makan final_v1.ipynb'\n",
            "-rw------- 1 root root  185337 Jun  9 15:23  scraper.ipynb\n",
            "-rw------- 1 root root  161913 May 25 06:18  selenium_worked_v1.1.ipynb\n",
            "drwx------ 2 root root    4096 Jun 15 12:43  \u001b[01;34msubmitted_csv\u001b[0m/\n",
            "-rw------- 1 root root  426231 Jun 15 11:12 'tempat wisata recommender final_v1.ipynb'\n"
          ]
        }
      ],
      "source": [
        "# Connect to drive\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive', force_remount=True)\n",
        "\n",
        "# Check folder files\n",
        "%cd \"/content/drive/Shareddrives/C23-PS139-ML\"\n",
        "%ls -al\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "Mr1OXBuxNc1F"
      },
      "outputs": [],
      "source": [
        "!pip install -Uq google-colab pandas supabase python-dotenv tensorflow_recommenders tensorflow-datasets"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "a-RVOburOkam"
      },
      "outputs": [],
      "source": [
        "from supabase import Client, create_client\n",
        "from dotenv import load_dotenv\n",
        "from os import environ\n",
        "\n",
        "load_dotenv(\"env.env\")\n",
        "supabase: Client = create_client(\n",
        "    supabase_url=environ.get(\"DB_URL\"),\n",
        "    supabase_key=environ.get(\"DB_KEY\")\n",
        ")\n",
        "\n",
        "response = supabase.table(\"gmap_id_2\").select(\"*\").execute()\n",
        "data = response.data\n",
        "\n",
        "\n",
        "df = pd.DataFrame(data)\n",
        "dfs = df.copy()\n",
        "dfs.drop(columns=['id', 'pricing', 'opening_hours'], inplace=True)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zI3Tq2rjQ6lM",
        "outputId": "764b83ec-66f7-452b-92d8-cf52f0f22319"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(2933, 15)"
            ]
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 635
        },
        "id": "i9Dpdc3BX7TZ",
        "outputId": "b561d3c5-9aa5-4956-a7f4-cb90db27878e"
      },
      "outputs": [
        {
          "data": {
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              "  <div id=\"df-08bdfb2a-d792-4c3f-9b86-cf4b621eb408\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
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              "    .dataframe thead th {\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>name</th>\n",
              "      <th>map_url</th>\n",
              "      <th>img_url</th>\n",
              "      <th>rating</th>\n",
              "      <th>total_review</th>\n",
              "      <th>pricing</th>\n",
              "      <th>address</th>\n",
              "      <th>city</th>\n",
              "      <th>category</th>\n",
              "      <th>about</th>\n",
              "      <th>opening_hours</th>\n",
              "      <th>keyword_category</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>fe47e87b-28a9-44e9-ac9f-df2d34136d15</td>\n",
              "      <td>Taman Kebagusan</td>\n",
              "      <td>https://www.google.com/maps/place/Taman+Kebagu...</td>\n",
              "      <td>https://lh5.googleusercontent.com/p/AF1QipOdy9...</td>\n",
              "      <td>4.5</td>\n",
              "      <td>286.0</td>\n",
              "      <td>None</td>\n",
              "      <td>MRXH+H6W, Jl. Kebagusan I, RT.9/RW.7, Kebagusa...</td>\n",
              "      <td>Kota Jakarta Selatan</td>\n",
              "      <td>{\"sampah\": \"12\", \"bermain\": \"11\", \"jogging\": \"...</td>\n",
              "      <td>{\"aksesibilitas\": \"pintu masuk khusus pengguna...</td>\n",
              "      <td>{}</td>\n",
              "      <td>['tempat wisata']</td>\n",
              "      <td>-6.30102</td>\n",
              "      <td>106.828</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2cfcfc92-990b-4b2d-a8f6-85328e9d13c6</td>\n",
              "      <td>Inspektorat Daerah Kabupaten Kulon Progo</td>\n",
              "      <td>https://www.google.com/maps/place/Inspektorat+...</td>\n",
              "      <td>https://lh5.googleusercontent.com/p/AF1QipOCL1...</td>\n",
              "      <td>4.1</td>\n",
              "      <td>8.0</td>\n",
              "      <td>None</td>\n",
              "      <td>45V7+3CW, Jl. Sugiman Gang Bispa, Kemiri, Kec....</td>\n",
              "      <td>Kabupaten Kulon Progo</td>\n",
              "      <td>{}</td>\n",
              "      <td>{}</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-7.85726</td>\n",
              "      <td>110.164</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>05a6e41a-18dc-4e0b-a154-bd0637cf8c08</td>\n",
              "      <td>Pantai Sentosa Seafood Market</td>\n",
              "      <td>https://www.google.com/maps/place/Pantai+Sento...</td>\n",
              "      <td>https://lh5.googleusercontent.com/p/AF1QipOlbJ...</td>\n",
              "      <td>4.5</td>\n",
              "      <td>2654.0</td>\n",
              "      <td>Sedang</td>\n",
              "      <td>Jl. Lkr. Luar Barat No.23, RW.1, Kembangan Sel...</td>\n",
              "      <td>Kota Jakarta Barat</td>\n",
              "      <td>{\"sambal\": \"51\", \"diskon\": \"32\", \"makanan_sega...</td>\n",
              "      <td>{\"opsi_layanan\": \"antar tanpa bertemu, pesan a...</td>\n",
              "      <td>{}</td>\n",
              "      <td>['tempat makan']</td>\n",
              "      <td>-6.18256</td>\n",
              "      <td>106.729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>45745ad0-935d-4a1a-a834-57a1c93f2b90</td>\n",
              "      <td>Taman kebagusan raya</td>\n",
              "      <td>https://www.google.com/maps/place/Taman+kebagu...</td>\n",
              "      <td>https://lh5.googleusercontent.com/p/AF1QipOlyU...</td>\n",
              "      <td>4.8</td>\n",
              "      <td>4.0</td>\n",
              "      <td>None</td>\n",
              "      <td>Jl. Kebagusan Raya No.75 H, RT.13/RW.5, Jagaka...</td>\n",
              "      <td>Kota Jakarta Selatan</td>\n",
              "      <td>{}</td>\n",
              "      <td>{\"fasilitas\": \"cocok untuk anak-anak\"}</td>\n",
              "      <td>{}</td>\n",
              "      <td>['tempat wisata']</td>\n",
              "      <td>-6.32608</td>\n",
              "      <td>106.824</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>842874e8-a83a-4402-8d0b-20c47d3243e7</td>\n",
              "      <td>Pulau Ayer</td>\n",
              "      <td>https://www.google.com/maps/place/Pulau+Ayer/d...</td>\n",
              "      <td>https://lh5.googleusercontent.com/p/AF1QipNU_y...</td>\n",
              "      <td>4.6</td>\n",
              "      <td>48.0</td>\n",
              "      <td>None</td>\n",
              "      <td>Pulau Panggang, Kepulauan Seribu Utara, Kab. A...</td>\n",
              "      <td>Kabupaten Kepulauan Seribu</td>\n",
              "      <td>{\"snorkling\": \"4\"}</td>\n",
              "      <td>{}</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-5.76361</td>\n",
              "      <td>106.583</td>\n",
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              "\n",
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            "text/plain": [
              "                                     id  \\\n",
              "0  fe47e87b-28a9-44e9-ac9f-df2d34136d15   \n",
              "1  2cfcfc92-990b-4b2d-a8f6-85328e9d13c6   \n",
              "2  05a6e41a-18dc-4e0b-a154-bd0637cf8c08   \n",
              "3  45745ad0-935d-4a1a-a834-57a1c93f2b90   \n",
              "4  842874e8-a83a-4402-8d0b-20c47d3243e7   \n",
              "\n",
              "                                       name  \\\n",
              "0                           Taman Kebagusan   \n",
              "1  Inspektorat Daerah Kabupaten Kulon Progo   \n",
              "2             Pantai Sentosa Seafood Market   \n",
              "3                      Taman kebagusan raya   \n",
              "4                                Pulau Ayer   \n",
              "\n",
              "                                             map_url  \\\n",
              "0  https://www.google.com/maps/place/Taman+Kebagu...   \n",
              "1  https://www.google.com/maps/place/Inspektorat+...   \n",
              "2  https://www.google.com/maps/place/Pantai+Sento...   \n",
              "3  https://www.google.com/maps/place/Taman+kebagu...   \n",
              "4  https://www.google.com/maps/place/Pulau+Ayer/d...   \n",
              "\n",
              "                                             img_url  rating  total_review  \\\n",
              "0  https://lh5.googleusercontent.com/p/AF1QipOdy9...     4.5         286.0   \n",
              "1  https://lh5.googleusercontent.com/p/AF1QipOCL1...     4.1           8.0   \n",
              "2  https://lh5.googleusercontent.com/p/AF1QipOlbJ...     4.5        2654.0   \n",
              "3  https://lh5.googleusercontent.com/p/AF1QipOlyU...     4.8           4.0   \n",
              "4  https://lh5.googleusercontent.com/p/AF1QipNU_y...     4.6          48.0   \n",
              "\n",
              "  pricing                                            address  \\\n",
              "0    None  MRXH+H6W, Jl. Kebagusan I, RT.9/RW.7, Kebagusa...   \n",
              "1    None  45V7+3CW, Jl. Sugiman Gang Bispa, Kemiri, Kec....   \n",
              "2  Sedang  Jl. Lkr. Luar Barat No.23, RW.1, Kembangan Sel...   \n",
              "3    None  Jl. Kebagusan Raya No.75 H, RT.13/RW.5, Jagaka...   \n",
              "4    None  Pulau Panggang, Kepulauan Seribu Utara, Kab. A...   \n",
              "\n",
              "                         city  \\\n",
              "0        Kota Jakarta Selatan   \n",
              "1       Kabupaten Kulon Progo   \n",
              "2          Kota Jakarta Barat   \n",
              "3        Kota Jakarta Selatan   \n",
              "4  Kabupaten Kepulauan Seribu   \n",
              "\n",
              "                                            category  \\\n",
              "0  {\"sampah\": \"12\", \"bermain\": \"11\", \"jogging\": \"...   \n",
              "1                                                 {}   \n",
              "2  {\"sambal\": \"51\", \"diskon\": \"32\", \"makanan_sega...   \n",
              "3                                                 {}   \n",
              "4                                 {\"snorkling\": \"4\"}   \n",
              "\n",
              "                                               about opening_hours  \\\n",
              "0  {\"aksesibilitas\": \"pintu masuk khusus pengguna...            {}   \n",
              "1                                                 {}            {}   \n",
              "2  {\"opsi_layanan\": \"antar tanpa bertemu, pesan a...            {}   \n",
              "3             {\"fasilitas\": \"cocok untuk anak-anak\"}            {}   \n",
              "4                                                 {}            {}   \n",
              "\n",
              "    keyword_category  latitude  longitude  \n",
              "0  ['tempat wisata']  -6.30102    106.828  \n",
              "1       ['kegiatan']  -7.85726    110.164  \n",
              "2   ['tempat makan']  -6.18256    106.729  \n",
              "3  ['tempat wisata']  -6.32608    106.824  \n",
              "4       ['kegiatan']  -5.76361    106.583  "
            ]
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "g7BmGQA1U0RE",
        "outputId": "9dab577a-47a5-4e65-b9ff-83a968cb6907"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 2933 entries, 0 to 2932\n",
            "Data columns (total 15 columns):\n",
            " #   Column            Non-Null Count  Dtype  \n",
            "---  ------            --------------  -----  \n",
            " 0   id                2933 non-null   object \n",
            " 1   name              2933 non-null   object \n",
            " 2   map_url           2933 non-null   object \n",
            " 3   img_url           2897 non-null   object \n",
            " 4   rating            2766 non-null   float64\n",
            " 5   total_review      2766 non-null   float64\n",
            " 6   pricing           687 non-null    object \n",
            " 7   address           2879 non-null   object \n",
            " 8   city              2933 non-null   object \n",
            " 9   category          2933 non-null   object \n",
            " 10  about             2933 non-null   object \n",
            " 11  opening_hours     2933 non-null   object \n",
            " 12  keyword_category  2932 non-null   object \n",
            " 13  latitude          2933 non-null   float64\n",
            " 14  longitude         2933 non-null   float64\n",
            "dtypes: float64(4), object(11)\n",
            "memory usage: 343.8+ KB\n",
            "None\n",
            "                  Null Count  Empty Dict Count\n",
            "img_url                   36                 0\n",
            "rating                   167                 0\n",
            "total_review             167                 0\n",
            "pricing                 2246                 0\n",
            "address                   54                 0\n",
            "category                   0               994\n",
            "about                      0               834\n",
            "opening_hours              0              2933\n",
            "keyword_category           1                 0\n",
            "Index(['name', 'rating', 'total_review', 'address', 'city', 'category',\n",
            "       'about', 'keyword_category', 'latitude', 'longitude'],\n",
            "      dtype='object')\n"
          ]
        }
      ],
      "source": [
        "df = pd.DataFrame(data)\n",
        "print(df.info())\n",
        "\n",
        "# Count how many null row per column\n",
        "null_counts = df.isnull().sum()\n",
        "empty_dict_counts = df.apply(lambda x: x == \"{}\").sum()\n",
        "\n",
        "combined_counts = pd.concat([null_counts, empty_dict_counts ], axis=1)\n",
        "combined_counts.columns = ['Null Count', 'Empty Dict Count']\n",
        "\n",
        "# Filter rows where at least one count is not zero\n",
        "combined_counts = combined_counts[(combined_counts != 0).any(axis=1)]\n",
        "\n",
        "print(combined_counts)\n",
        "\n",
        "df.drop(columns=['id', 'map_url', 'img_url', 'pricing', 'opening_hours'], inplace=True)\n",
        "\n",
        "print(df.columns)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0_YM_L0OxUpx",
        "outputId": "fac309dd-c9d6-460a-8476-a336b18456e6"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1558"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "import ast\n",
        "from collections import Counter\n",
        "\n",
        "df_2 = df.copy()\n",
        "df_2['category'] = df_2['category'].apply(ast.literal_eval)\n",
        "counter = Counter(key for row in df_2['category'] for key in row.keys())\n",
        "counter = dict(sorted(counter.items(), key=lambda item: item[1], reverse=True))\n",
        "\n",
        "\n",
        "df_category = pd.DataFrame.from_dict(counter, orient='index').reset_index()\n",
        "df_category.columns = ['kategori', 'jumlah']\n",
        "\n",
        "len(list(df_category.query('jumlah > 1').kategori.unique()))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "id": "NEYzANJ6Be9z"
      },
      "outputs": [],
      "source": [
        "import json\n",
        "\n",
        "# --- READ from file ---\n",
        "with open('keyword_categories.json') as f:\n",
        "    keyword_categories = json.load(f)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w6hTbTNQDBbb",
        "outputId": "5376a85e-392e-496d-d8a0-8b16b72eb167"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "{'aktivitas_air': ['kolam_ikan', 'lumpur', 'snorkeling', 'snorkling'], 'alam': ['alam', 'gunung', 'hutan', 'hutan_kota', 'hutan_lindung', 'kebun', 'pantai', 'taman', 'tumbuhan'], 'alam_terbuka': ['awan_panas', 'lumpur', 'snorkeling', 'snorkling'], 'bersejarah': ['gamelan', 'gedung', 'kolonial', 'lingkungan', 'masjid', 'penjajahan', 'proklamasi_kemerdekaan_indonesia', 'sejarah', 'sejarah_indonesia'], 'budaya': ['adat_istiadat', 'budaya', 'festival_film', 'keraton_yogyakarta', 'seni', 'tradisi'], 'daging': ['ayam', 'ayam_bakar', 'ayam_geprek', 'ayam_kampung', 'ayam_pop', 'daging_kambing', 'ikan', 'ikan_bakar', 'kakap', 'kelinci', 'sapi'], 'edukasi': ['auditorium', 'budaya', 'diorama', 'mahasiswa', 'perpustakaan'], 'estetik': ['aesthetic', 'alami', 'foto', 'minimalis', 'taman'], 'fasilitas': ['ac', 'fasilitas', 'layanan', 'parkir', 'pelayanan', 'sarana', 'toilet', 'wifi'], 'foto': ['foto', 'fotografi', 'photography', 'spot_foto'], 'fotogenik': ['arsitek', 'foto', 'fotogenik'], 'gunung': ['awan_panas', 'gunung_merapi', 'tebing'], 'halal': ['halal', 'syariah'], 'hemat_biaya': ['food_court', 'warung'], 'hiburan': ['konser', 'pertunjukan'], 'indoor': ['aktivitas_dalam_ruangan', 'bioskop', 'galeri_seni', 'hotel', 'indoor', 'kafe', 'karaoke', 'mall', 'museum', 'restoran', 'ruang_pameran', 'ruang_serbaguna', 'ruang_tunggu', 'studio', 'teater', 'toko_buku'], 'kebersihan': ['kebersihan'], 'kegiatan_rekreasi': ['acara', 'hiburan', 'perjalanan', 'permainan'], 'kemah': ['kemah', 'tenda'], 'kenyamanan': ['homestay', 'kamar_mandi', 'nyaman', 'sejuk'], 'kuliner': ['ayam_bakar', 'batik', 'gorengnya', 'gula_batu', 'jamur', 'kopi', 'lidah', 'makan_siang'], 'lokasi': ['desa', 'gunung', 'pantai', 'pedesaan', 'pegunungan', 'pulau', 'puncak', 'strategis'], 'makanan': ['ayam', 'ayam_bakar', 'ayam_geprek', 'ayam_kampung', 'ayam_pop', 'bacem', 'bakso', 'bambu', 'bebek', 'bubur', 'bubur_ayam', 'bumbu', 'capcay', 'cumi', 'daging_kambing', 'es_pisang_ijo', 'goreng', 'gudeg', 'gulai', 'gurame', 'iga', 'ikan', 'ikan_bakar', 'jamur', 'kakap', 'kelinci', 'kerang', 'ketupat', 'kuahnya', 'lalapan', 'lontong', 'mangut_lele', 'mendoan', 'mie_goreng', 'nasi', 'nasi_campur', 'nasi_goreng', 'nasi_kuning', 'nila', 'pangsit', 'pecel', 'pisang', 'pizza', 'rendang', 'sambal_matah', 'sambel', 'sarapan', 'sate', 'sate_klatak', 'sayur', 'seafood', 'siomay', 'sop', 'sop_buntut', 'sop_iga', 'soto', 'soto_ayam', 'tahu', 'tekwan', 'telur', 'tempe', 'tengkleng', 'tomyam'], 'makanan_chinese': ['chinese', 'dimsum', 'noodles', 'wonton', 'xiaolongbao'], 'makanan_hari': ['makan_siang', 'sarapan'], 'makanan_jepang': ['chicken_katsu', 'jepang', 'makanan_jepang', 'ramen', 'salmon', 'sushi', 'tempura', 'teriyaki'], 'makanan_tradisional': ['betawi', 'jawa', 'khas', 'nusantara', 'rendang', 'tradisional'], 'makanan_western': ['grill', 'hamburger', 'pizza', 'steak', 'steakwestern', 'western'], 'malam_hari': ['diskusi', 'hiburan', 'karaoke', 'live_music', 'malam', 'music'], 'minuman': ['es_buah', 'es_campur', 'es_kelapa', 'es_teh', 'kopi', 'minuman', 'sop'], 'musik': ['band', 'festival', 'konser', 'music', 'musik'], 'olahraga': ['aktivitas_olahraga', 'arena_olahraga', 'fitness', 'gym', 'olahraga'], 'outdoor': ['aktivitas_air', 'aktivitas_luar', 'alam', 'bersepeda', 'busway', 'danau', 'downhill', 'golf_mini', 'gunung', 'hutan', 'hutan_kota', 'jembatan', 'jogging', 'lumpur', 'mancing', 'outbound', 'outdoor', 'pantai', 'petualangan', 'picnic', 'piknik', 'pohon_beringin', 'pulau', 'sawah', 'snorkeling', 'sungai', 'sunset', 'taman_air', 'taman_bermain', 'taman_bunga', 'taman_hewan', 'taman_kota', 'taman_laut', 'taman_nasional', 'taman_rekreasi', 'taman_tema', 'tebing'], 'pagi_hari': ['pagi', 'sarapan', 'sarapan_pagi'], 'pantai': ['beach', 'ombak', 'pantai', 'pantai_pasir_putih', 'pesisir'], 'pedas': ['pedas', 'sambal', 'sambel'], 'pelayanan': ['kasir', 'pelayanan', 'pemandu'], 'pemandangan': ['panorama', 'pemandangan', 'scenery', 'view'], 'pemandangan_alam': ['alam', 'danau', 'gunung', 'hutan', 'jembatan', 'pantai', 'pemandangan', 'pulau', 'sawah', 'sungai', 'sunset', 'tebing'], 'pemandangan_indah': ['alami', 'kandang', 'patung', 'rindang', 'taman', 'teras'], 'pemandangan_luas': ['view'], 'pertemuan': ['meeting', 'rapat', 'seminar'], 'ramah_anak': ['anak', 'keluarga', 'mainan', 'playground', 'ramah_anak'], 'ramah_anak_anak': ['area_anak', 'playground', 'ramah_anak'], 'rekreasi': ['arung_jeram', 'bermain', 'jogging', 'mancing', 'olahraga', 'outbond', 'playground', 'rekreasi', 'snorkeling', 'snorkling', 'tiket'], 'relaksasi': ['ayunan', 'bangku', 'gazebo', 'kolam_renang', 'santai'], 'rumah': ['homestay', 'pengalaman', 'perumahan', 'rumah'], 'rumah_makan': ['kuliner', 'restoran', 'tempat_makan'], 'salon': ['perm', 'spa', 'waxing'], 'sepeda_motor': ['kendaraan', 'motor'], 'smoking': ['smoking', 'smoking_area'], 'tempat_bermain': ['aktivitas_air', 'alam', 'bermain', 'danau', 'gunung', 'hutan', 'jembatan', 'jogging', 'mancing', 'outbond', 'pantai', 'picnic', 'rekreasi', 'sawah', 'snorkeling', 'sungai', 'sunset', 'tebing'], 'tempat_bersejarah': ['bersejarah', 'cagar_budaya', 'sejarah'], 'tempat_ibadah': ['altar', 'doa', 'gereja', 'ibadah', 'masjid', 'pura', 'sholat', 'sunnah', 'tempat_ibadah', 'umat', 'wudhu'], 'tempat_main': ['bermain', 'hiburan', 'main', 'permainan', 'taman_bermain'], 'tempat_makan': ['all_you_can_eat', 'ayam', 'bakso', 'bubur', 'cafe', 'capcay', 'cumi', 'goreng', 'gudeg', 'gulai', 'gurame', 'hidangan', 'iga', 'ikan', 'jahe', 'jamur', 'kelinci', 'kerang', 'kuahnya', 'lalapan', 'lauk', 'lontong', 'makanan', 'masakan', 'masakannya', 'mendoan', 'mie_aceh', 'mie_ayam', 'mie_goreng', 'nasi', 'nasi_campur', 'nasi_goreng', 'nasi_mandi', 'nila', 'pangsit', 'pedas', 'pisang', 'rendang', 'resepsi', 'rica', 'sambal', 'sarapan', 'sate', 'sayur', 'siomay', 'snack', 'sop', 'soto', 'tahu', 'telur', 'tempe', 'tengkleng', 'truffle'], 'tempat_ngumpul': ['cafe', 'tempat_hangout', 'tempat_ngumpul'], 'tempat_piknik': ['picnic', 'piknik', 'rekreasi'], 'tempat_wisata': ['aktivitas_air', 'alam', 'bermain', 'bersejarah', 'fotogenik', 'gedung', 'gunung', 'hutan', 'jembatan', 'jogging', 'kandang', 'kegiatan', 'kolam_ikan', 'liburan', 'lingkungan', 'mancing', 'masjid', 'olahraga', 'outbond', 'pantai', 'patung', 'pemandangan', 'pencakar_langit', 'picnic', 'pulau', 'rekreasi', 'sejarah', 'snorkeling', 'sungai', 'sunset', 'taman', 'tebing', 'tempat_bermain', 'tempat_makan', 'teras', 'view'], 'terbit_matahari': ['sunrise'], 'tradisional': ['budaya', 'gamelan', 'kearifan_lokal', 'khas', 'kuno', 'tradisional', 'warisan'], 'transportasi': ['bus', 'kapal', 'kereta', 'pesawat', 'sepeda_motor']}\n"
          ]
        }
      ],
      "source": [
        "keyword_categories = {\n",
        "    'aktivitas_air': ['kolam_ikan', 'lumpur', 'snorkeling', 'snorkling'],\n",
        "    'alam': ['gunung', 'pantai', 'tumbuhan'],\n",
        "    'alam_terbuka': ['awan_panas', 'lumpur', 'snorkeling', 'snorkling'],\n",
        "    'bersejarah': ['gedung', 'kolonial', 'lingkungan', 'masjid', 'penjajahan', 'sejarah', 'gamelan', 'sejarah_indonesia', 'proklamasi_kemerdekaan_indonesia'],\n",
        "    'daging': ['ayam', 'ayam_bakar', 'ayam_geprek', 'ayam_kampung', 'ayam_pop', 'daging_kambing', 'kelinci', 'ikan_bakar', 'kakap', 'ikan', 'sapi'],\n",
        "    'edukasi': ['auditorium', 'budaya', 'diorama', 'mahasiswa', 'perpustakaan'],\n",
        "    'estetik': ['aesthetic', 'alami', 'foto', 'minimalis', 'taman'],\n",
        "    'fasilitas': ['ac', 'parkir', 'toilet', 'wifi'],\n",
        "    'fotogenik': ['arsitek', 'foto', 'fotogenik'],\n",
        "    'gunung': ['awan_panas', 'gunung_merapi', 'tebing'],\n",
        "    'halal': ['halal', 'syariah'],\n",
        "    'hemat_biaya': ['food_court', 'warung'],\n",
        "    'hiburan': ['konser', 'pertunjukan'],\n",
        "    'indoor': ['bioskop', 'galeri_seni', 'hotel', 'kafe', 'karaoke', 'mall', 'museum', 'restoran', 'ruang_pameran', 'ruang_serbaguna', 'ruang_tunggu', 'studio', 'teater', 'toko_buku'],\n",
        "    'kebersihan': ['kebersihan'],\n",
        "    'kegiatan_rekreasi': ['acara', 'hiburan', 'perjalanan', 'permainan'],\n",
        "    'kemah': ['kemah', 'tenda'],\n",
        "    'kenyamanan': ['homestay', 'kamar_mandi', 'nyaman', 'sejuk'],\n",
        "    'kuliner': ['ayam_bakar', 'batik', 'gorengnya', 'gula_batu', 'jamur', 'kopi', 'lidah', 'makan_siang'],\n",
        "    'lokasi': ['desa', 'gunung', 'pantai', 'pedesaan', 'pegunungan', 'pulau', 'puncak', 'strategis'],\n",
        "    'makanan': ['sop_iga', 'ayam', 'ayam_bakar', 'ayam_geprek', 'ayam_kampung', 'ayam_pop', 'bacem', 'bakso', 'bambu', 'bebek', 'bubur', 'bubur_ayam', 'bumbu', 'capcay', 'cumi', 'daging_kambing', 'es_pisang_ijo', 'goreng', 'gudeg', 'gulai', 'gurame', 'iga', 'ikan', 'ikan_bakar', 'jamur', 'kakap', 'kelinci', 'kerang', 'ketupat', 'kuahnya', 'lalapan', 'lontong', 'mangut_lele', 'mendoan', 'mie_goreng', 'nasi', 'nasi_campur', 'nasi_goreng', 'nasi_kuning', 'nila', 'pangsit', 'pecel', 'pisang', 'pizza', 'rendang', 'sambal_matah', 'sambel', 'sarapan', 'sate', 'sate_klatak', 'sayur', 'seafood', 'soto_ayam', 'siomay', 'sop', 'sop_buntut', 'soto', 'tahu', 'tekwan', 'telur', 'tempe', 'tengkleng', 'tomyam'],\n",
        "    'makanan_chinese': [\"chinese\", \"dimsum\", \"wonton\", \"xiaolongbao\"],\n",
        "    'makanan_hari': ['makan_siang', 'sarapan'],\n",
        "    'makanan_jepang': ['chicken_katsu', 'salmon', 'sushi', 'teriyaki', 'makanan_jepang'],\n",
        "    'makanan_tradisional': [\"betawi\", \"jawa\", \"khas\", \"nusantara\", \"rendang\", \"tradisional\"],\n",
        "    'makanan_western': [\"grill\", \"hamburger\", \"pizza\", \"steak\" \"western\"],\n",
        "    'malam_hari': ['diskusi', 'hiburan', 'karaoke', 'live_music', 'malam', 'music'],\n",
        "    'minuman': ['es_teh', 'kopi', 'minuman', 'sop', 'es_buah', 'es_campur', 'es_kelapa'],\n",
        "    'outdoor': ['aktivitas_air', 'alam', 'bersepeda', 'busway', 'danau', 'downhill', 'golf_mini', 'gunung', 'hutan', 'jembatan', 'jogging', 'lumpur', 'mancing', 'outbound', 'pantai', 'picnic', 'piknik', 'pohon_beringin', 'pulau', 'sawah', 'snorkeling', 'sungai', 'sunset', 'taman_air', 'taman_bermain', 'taman_bunga', 'taman_hewan', 'taman_kota', 'taman_laut', 'taman_nasional', 'taman_rekreasi', 'taman_tema', 'tebing'],\n",
        "    'pagi_hari': ['pagi', 'sarapan', 'sarapan_pagi'],\n",
        "    'pantai': ['ombak', 'pantai'],\n",
        "    'pedas': ['pedas', 'sambal', 'sambel'],\n",
        "    'pelayanan': ['kasir', 'pelayanan', 'pemandu'],\n",
        "    'pemandangan_alam': ['alam', 'danau', 'gunung', 'hutan', 'jembatan', 'pantai', 'pemandangan', 'pulau', 'sawah', 'sungai', 'sunset', 'tebing'],\n",
        "    'pemandangan_indah': ['alami', 'kandang', 'patung', 'rindang', 'taman', 'teras'],\n",
        "    'pemandangan_luas': ['view'],\n",
        "    'pertemuan': ['meeting', 'rapat', 'seminar'],\n",
        "    'ramah_anak': ['anak', 'keluarga', 'mainan', 'playground', 'ramah_anak'],\n",
        "    'rekreasi': ['arung_jeram', 'bermain', 'jogging', 'mancing', 'olahraga', 'outbond', 'playground', 'rekreasi', 'snorkeling', 'tiket', 'snorkling'],\n",
        "    'relaksasi': ['ayunan', 'bangku', 'gazebo', 'kolam_renang', 'santai'],\n",
        "    'rumah': ['homestay', 'pengalaman', 'perumahan', 'rumah'],\n",
        "    'salon': ['perm', 'spa', 'waxing', ],\n",
        "    'sepeda_motor': ['kendaraan', 'motor'],\n",
        "    'smoking': ['smoking', 'smoking_area'],\n",
        "    'tempat_bermain': ['aktivitas_air', 'alam', 'bermain', 'danau', 'gunung', 'hutan', 'jembatan', 'jogging', 'mancing', 'outbond', 'pantai', 'picnic', 'rekreasi', 'sawah', 'snorkeling', 'sungai', 'sunset', 'tebing'],\n",
        "    'tempat_ibadah': ['altar', 'doa', 'sholat', 'sunnah', 'umat', 'wudhu', 'ibadah', 'tempat_ibadah', 'masjid', 'gereja', 'pura'],\n",
        "    'tempat_makan': ['masakannya', 'all_you_can_eat', 'ayam', 'bakso', 'bubur', 'cafe', 'capcay', 'cumi', 'goreng', 'gudeg', 'gulai', 'gurame', 'hidangan', 'iga', 'ikan', 'jahe', 'jamur', 'kelinci', 'kerang', 'kuahnya', 'lalapan', 'lauk', 'lontong', 'makanan', 'masakan', 'mendoan', 'mie_aceh', 'mie_ayam', 'mie_goreng', 'nasi', 'nasi_campur', 'nasi_goreng', 'nasi_mandi', 'nila', 'pangsit', 'pedas', 'pisang', 'rendang', 'resepsi', 'rica', 'sambal', 'sarapan', 'sate', 'sayur', 'siomay', 'snack', 'sop', 'soto', 'tahu', 'telur', 'tempe', 'tengkleng', 'truffle'],\n",
        "    'tempat_ngumpul': ['tempat_hangout', 'tempat_ngumpul', 'cafe'],\n",
        "    'tempat_piknik': ['picnic', 'piknik', 'rekreasi'],\n",
        "    'tempat_wisata': ['liburan', 'aktivitas_air', 'alam', 'bermain', 'bersejarah', 'fotogenik', 'gedung', 'gunung', 'hutan', 'jembatan', 'jogging', 'kandang', 'kegiatan', 'kolam_ikan', 'lingkungan', 'mancing', 'masjid', 'olahraga', 'outbond', 'pantai', 'patung', 'pemandangan', 'pencakar_langit', 'picnic', 'pulau', 'rekreasi', 'sejarah', 'snorkeling', 'sungai', 'sunset', 'taman', 'tebing', 'tempat_bermain', 'tempat_makan', 'teras', 'view'],\n",
        "    'terbit_matahari': ['sunrise'],\n",
        "    'tradisional': ['budaya', 'khas', 'tradisional', 'gamelan'],\n",
        "    'transportasi': ['bus', 'kapal', 'kereta', 'pesawat', 'sepeda_motor']\n",
        "}\n",
        "\n",
        "interests = {\n",
        "    'rumah_makan': ['restoran', 'kuliner', 'tempat_makan'],\n",
        "    'makanan_western': ['western', 'grill', 'steak', 'hamburger', 'pizza'],\n",
        "    'makanan_chinese': ['chinese', 'dimsum', 'noodles', 'wonton'],\n",
        "    'makanan_tradisional': ['tradisional', 'nusantara', 'khas', 'betawi', 'jawa'],\n",
        "    'makanan_jepang': ['jepang', 'sushi', 'ramen', 'tempura'],\n",
        "    'tempat_bersejarah': ['bersejarah', 'sejarah', 'cagar_budaya'],\n",
        "    'budaya': ['budaya', 'tradisi', 'seni', 'adat_istiadat', 'festival_film', 'keraton_yogyakarta'],\n",
        "    'tempat_main': ['hiburan', 'main', 'taman_bermain', 'permainan', 'bermain'],\n",
        "    'ramah_anak_anak': ['ramah_anak', 'playground', 'area_anak'],\n",
        "    'alam': ['alam', 'hutan', 'gunung', 'taman', 'kebun', 'hutan_lindung', 'hutan_kota'],\n",
        "    'outdoor': ['outdoor', 'aktivitas_luar', 'petualangan', 'hutan_kota'],\n",
        "    'indoor': ['indoor', 'aktivitas_dalam_ruangan'],\n",
        "    'pantai': ['pantai', 'pesisir', 'beach', 'pantai_pasir_putih'],\n",
        "    'olahraga': ['olahraga', 'aktivitas_olahraga', 'fitness', 'gym', 'arena_olahraga'],\n",
        "    'pemandangan': ['pemandangan', 'view', 'panorama', 'scenery'],\n",
        "    'foto': ['foto', 'photography', 'fotografi', 'spot_foto'],\n",
        "    'tradisional': ['tradisional', 'kuno', 'warisan', 'kearifan_lokal'],\n",
        "    'musik': ['musik', 'konser', 'festival', 'band', 'music'],\n",
        "    'fasilitas': ['fasilitas', 'layanan', 'pelayanan', 'sarana'],\n",
        "}\n",
        "\n",
        "for key, value in interests.items():\n",
        "    if key in keyword_categories:\n",
        "        value += keyword_categories[key]\n",
        "        value = list(set(value))\n",
        "    keyword_categories[key] = value\n",
        "\n",
        "for key, values in keyword_categories.items():\n",
        "    values = [value.replace(\" \", \"_\").lower().strip() for value in values]\n",
        "    keyword_categories[key] = values\n",
        "\n",
        "\n",
        "import collections\n",
        "\n",
        "# Sort the dictionary by keys\n",
        "keyword_categories = collections.OrderedDict(sorted(keyword_categories.items()))\n",
        "\n",
        "# Sort the values (lists) in the dictionary\n",
        "for key, value in keyword_categories.items():\n",
        "    sorted_value = sorted(value)\n",
        "    keyword_categories[key] = []\n",
        "    keyword_categories[key] = sorted_value\n",
        "\n",
        "print(dict(keyword_categories))\n",
        "\n",
        "with open('keyword_categories_v1.json', 'w+') as f:\n",
        "    f.write(json.dumps(keyword_categories, indent=4))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 572
        },
        "id": "xQDczlSNCwZT",
        "outputId": "598a2ff7-b1da-421b-a1ab-7a5bc8b26a48"
      },
      "outputs": [
        {
          "data": {
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              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
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              "\n",
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              "\n",
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              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>name</th>\n",
              "      <th>category</th>\n",
              "      <th>general_category</th>\n",
              "      <th>general_length</th>\n",
              "      <th>rating</th>\n",
              "      <th>total_review</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Pulau Ayer</td>\n",
              "      <td>[snorkling]</td>\n",
              "      <td>[aktivitas_air, alam_terbuka, rekreasi]</td>\n",
              "      <td>3</td>\n",
              "      <td>4.6</td>\n",
              "      <td>48.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Arka Coffee and Space</td>\n",
              "      <td>[toko_buku, taman, standar, kerja, strategis, ...</td>\n",
              "      <td>[alam, estetik, fasilitas, indoor, lokasi, pem...</td>\n",
              "      <td>8</td>\n",
              "      <td>4.9</td>\n",
              "      <td>361.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Pesanggrahan Rejawinangun</td>\n",
              "      <td>[parkir, foto]</td>\n",
              "      <td>[estetik, fasilitas, foto, fotogenik]</td>\n",
              "      <td>4</td>\n",
              "      <td>4.6</td>\n",
              "      <td>72.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Pantai Sunrise</td>\n",
              "      <td>[pulau]</td>\n",
              "      <td>[lokasi, outdoor, pemandangan_alam, tempat_wis...</td>\n",
              "      <td>4</td>\n",
              "      <td>4.6</td>\n",
              "      <td>19.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>HOLEO Golf &amp; Museum</td>\n",
              "      <td>[golf_mini, seru, kesenangan, bermain, tote_ba...</td>\n",
              "      <td>[outdoor, rekreasi, tempat_bermain, tempat_mai...</td>\n",
              "      <td>5</td>\n",
              "      <td>4.9</td>\n",
              "      <td>827.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2919</th>\n",
              "      <td>Lesehan Pak Bowo</td>\n",
              "      <td>[sambel, empuk, gurih, bumbunya, gorengnya, ba...</td>\n",
              "      <td>[kuliner, makanan, pedas]</td>\n",
              "      <td>3</td>\n",
              "      <td>4.6</td>\n",
              "      <td>317.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2920</th>\n",
              "      <td>Masjid Al-Ishlah</td>\n",
              "      <td>[luas, sekolah, sholat]</td>\n",
              "      <td>[tempat_ibadah]</td>\n",
              "      <td>1</td>\n",
              "      <td>4.6</td>\n",
              "      <td>70.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2921</th>\n",
              "      <td>Masjid Pangeran Diponegoro Balaikota</td>\n",
              "      <td>[ac, wudhu, ibadah, lantai, lingkungan, kantor...</td>\n",
              "      <td>[bersejarah, fasilitas, tempat_ibadah, tempat_...</td>\n",
              "      <td>4</td>\n",
              "      <td>4.8</td>\n",
              "      <td>699.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2924</th>\n",
              "      <td>Pawon Joglo</td>\n",
              "      <td>[harga, masakan]</td>\n",
              "      <td>[tempat_makan]</td>\n",
              "      <td>1</td>\n",
              "      <td>4.6</td>\n",
              "      <td>113.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2927</th>\n",
              "      <td>Sate Ayam Tukangan</td>\n",
              "      <td>[bumbu, kulit, lontong, harga]</td>\n",
              "      <td>[makanan, tempat_makan]</td>\n",
              "      <td>2</td>\n",
              "      <td>4.7</td>\n",
              "      <td>90.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>593 rows × 6 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-61cbf322-be52-4858-9336-8d3316ce44a0')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      border-radius: 50%;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
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              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-61cbf322-be52-4858-9336-8d3316ce44a0 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-61cbf322-be52-4858-9336-8d3316ce44a0');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "  "
            ],
            "text/plain": [
              "                                      name  \\\n",
              "4                               Pulau Ayer   \n",
              "6                    Arka Coffee and Space   \n",
              "18               Pesanggrahan Rejawinangun   \n",
              "22                          Pantai Sunrise   \n",
              "29                     HOLEO Golf & Museum   \n",
              "...                                    ...   \n",
              "2919                      Lesehan Pak Bowo   \n",
              "2920                      Masjid Al-Ishlah   \n",
              "2921  Masjid Pangeran Diponegoro Balaikota   \n",
              "2924                           Pawon Joglo   \n",
              "2927                    Sate Ayam Tukangan   \n",
              "\n",
              "                                               category  \\\n",
              "4                                           [snorkling]   \n",
              "6     [toko_buku, taman, standar, kerja, strategis, ...   \n",
              "18                                       [parkir, foto]   \n",
              "22                                              [pulau]   \n",
              "29    [golf_mini, seru, kesenangan, bermain, tote_ba...   \n",
              "...                                                 ...   \n",
              "2919  [sambel, empuk, gurih, bumbunya, gorengnya, ba...   \n",
              "2920                            [luas, sekolah, sholat]   \n",
              "2921  [ac, wudhu, ibadah, lantai, lingkungan, kantor...   \n",
              "2924                                   [harga, masakan]   \n",
              "2927                     [bumbu, kulit, lontong, harga]   \n",
              "\n",
              "                                       general_category  general_length  \\\n",
              "4               [aktivitas_air, alam_terbuka, rekreasi]               3   \n",
              "6     [alam, estetik, fasilitas, indoor, lokasi, pem...               8   \n",
              "18                [estetik, fasilitas, foto, fotogenik]               4   \n",
              "22    [lokasi, outdoor, pemandangan_alam, tempat_wis...               4   \n",
              "29    [outdoor, rekreasi, tempat_bermain, tempat_mai...               5   \n",
              "...                                                 ...             ...   \n",
              "2919                          [kuliner, makanan, pedas]               3   \n",
              "2920                                    [tempat_ibadah]               1   \n",
              "2921  [bersejarah, fasilitas, tempat_ibadah, tempat_...               4   \n",
              "2924                                     [tempat_makan]               1   \n",
              "2927                            [makanan, tempat_makan]               2   \n",
              "\n",
              "      rating  total_review  \n",
              "4        4.6          48.0  \n",
              "6        4.9         361.0  \n",
              "18       4.6          72.0  \n",
              "22       4.6          19.0  \n",
              "29       4.9         827.0  \n",
              "...      ...           ...  \n",
              "2919     4.6         317.0  \n",
              "2920     4.6          70.0  \n",
              "2921     4.8         699.0  \n",
              "2924     4.6         113.0  \n",
              "2927     4.7          90.0  \n",
              "\n",
              "[593 rows x 6 columns]"
            ]
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "import ast\n",
        "\n",
        "df_3 = df.copy()\n",
        "\n",
        "# Remove the \"counter\" for each categories\n",
        "df_3['category'] = df_3['category'].apply(ast.literal_eval)\n",
        "df_3['category'] = df_3['category'].apply(lambda x: list(x.keys()))\n",
        "\n",
        "# Generalize review categories based on keyword_categories above\n",
        "df_3.insert(loc=df_3.columns.get_loc('category') + 1, column='general_category', value='')\n",
        "df_3['general_category'] = df_3['category'].apply(lambda x: [key for key, values in keyword_categories.items() if any(val in values for val in x)])\n",
        "\n",
        "df_3['general_length'] = df_3['general_category'].apply(len)\n",
        "df_3[[\"name\", \"category\", \"general_category\", \"general_length\", \"rating\", \"total_review\"]].query('total_review > 0 and category.str.len() > 0 and rating > 4.5')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "metadata": {
        "id": "PgpE5IdVM8aL"
      },
      "outputs": [],
      "source": [
        "df_4 = df_3.copy()\n",
        "\n",
        "df_4['about'] = df_4['about'].apply(ast.literal_eval)\n",
        "df_about = pd.json_normalize(df_4['about'])\n",
        "df_about.columns = df_about.columns.str.lower().str.replace(' ', '_')\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bXUX-Jj_PepO",
        "outputId": "dbe801af-34ba-460b-86fa-0b4bde7fd0f5"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "NULL values in 'about' column\n",
            "fasilitas           : 1123 / 2933 (38.29%)\n",
            "opsi_layanan        : 1708 / 2933 (58.23%)\n",
            "no_aksesibilitas    : 1757 / 2933 (59.90%)\n",
            "suasana             : 1800 / 2933 (61.37%)\n",
            "pilihan_makan       : 1818 / 2933 (61.98%)\n",
            "penawaran           : 1820 / 2933 (62.05%)\n",
            "tipe_pengunjung     : 1909 / 2933 (65.09%)\n",
            "pembayaran          : 2067 / 2933 (70.47%)\n",
            "perencanaan         : 2276 / 2933 (77.60%)\n",
            "description         : 2409 / 2933 (82.13%)\n",
            "aksesibilitas       : 2471 / 2933 (84.25%)\n",
            "keunggulan          : 2727 / 2933 (92.98%)\n",
            "no_opsi_layanan     : 2887 / 2933 (98.43%)\n",
            "no_fasilitas        : 2890 / 2933 (98.53%)\n",
            "dari_bisnis         : 2898 / 2933 (98.81%)\n",
            "aktivitas           : 2918 / 2933 (99.49%)\n",
            "rute                : 2931 / 2933 (99.93%)\n",
            "pendaurulangan      : 2932 / 2933 (99.97%)\n",
            "populer_untuk       : 2932 / 2933 (99.97%)\n"
          ]
        }
      ],
      "source": [
        "total_rows = len(df_about)\n",
        "\n",
        "null_counts = df_about.isnull().sum().sort_values()\n",
        "null_percentage = (null_counts / total_rows) * 100\n",
        "\n",
        "print(\"NULL values in 'about' column\")\n",
        "for column, count in null_counts.items():\n",
        "    percentage = null_percentage[column]\n",
        "    print(f\"{column:20}: {count} / {total_rows} ({percentage:.2f}%)\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 922
        },
        "id": "obggTb92UX0m",
        "outputId": "4152add3-87b9-480e-d2a2-78c662fb0d19"
      },
      "outputs": [
        {
          "data": {
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              "      <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",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>aksesibilitas</th>\n",
              "      <th>fasilitas</th>\n",
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              "      <th>penawaran</th>\n",
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              "      <th>perencanaan</th>\n",
              "      <th>no_aksesibilitas</th>\n",
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              "      <th>description</th>\n",
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              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>[pintu masuk khusus pengguna kursi roda]</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>[kursi khusus pengguna kursi roda,  pintu masu...</td>\n",
              "      <td>[cocok untuk anak-anak,  toilet]</td>\n",
              "      <td>[antar tanpa bertemu,  pesan antar,  bawa pula...</td>\n",
              "      <td>[kopi,  makanan halal]</td>\n",
              "      <td>[sarapan,  brunch,  makan siang,  makan malam,...</td>\n",
              "      <td>[santai]</td>\n",
              "      <td>[berkelompok]</td>\n",
              "      <td>[menerima reservasi]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>NaN</td>\n",
              "      <td>[cocok untuk anak-anak]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2928</th>\n",
              "      <td>NaN</td>\n",
              "      <td>[cocok untuk anak-anak,  toilet]</td>\n",
              "      <td>[bawa pulang,  makan di tempat]</td>\n",
              "      <td>[kopi,  makanan halal,  menu untuk anak-anak]</td>\n",
              "      <td>[sarapan,  brunch,  makan siang,  katering]</td>\n",
              "      <td>[nyaman,  santai]</td>\n",
              "      <td>[berkelompok]</td>\n",
              "      <td>[menerima reservasi]</td>\n",
              "      <td>[kursi khusus pengguna kursi roda,  pintu masu...</td>\n",
              "      <td>[hanya tunai]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2929</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2930</th>\n",
              "      <td>NaN</td>\n",
              "      <td>[cocok untuk anak-anak,  toilet]</td>\n",
              "      <td>[bawa pulang,  makan di tempat]</td>\n",
              "      <td>[kopi,  makanan halal,  menu untuk anak-anak]</td>\n",
              "      <td>[makan siang,  makan malam,  hidangan penutup]</td>\n",
              "      <td>[nyaman,  santai]</td>\n",
              "      <td>[berkelompok]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2931</th>\n",
              "      <td>NaN</td>\n",
              "      <td>[cocok untuk anak-anak]</td>\n",
              "      <td>[tempat duduk di area terbuka,  bawa pulang,  ...</td>\n",
              "      <td>[hidangan larut malam,  kopi,  makanan halal]</td>\n",
              "      <td>[makan malam,  tempat duduk]</td>\n",
              "      <td>[nyaman,  santai]</td>\n",
              "      <td>[berkelompok]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>[kursi khusus pengguna kursi roda,  pintu masu...</td>\n",
              "      <td>[hanya tunai]</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2932</th>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2933 rows × 19 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e3b32258-9dcf-46ca-81b7-4d934aaf8fd2')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-e3b32258-9dcf-46ca-81b7-4d934aaf8fd2 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-e3b32258-9dcf-46ca-81b7-4d934aaf8fd2');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                          aksesibilitas  \\\n",
              "0              [pintu masuk khusus pengguna kursi roda]   \n",
              "1                                                   NaN   \n",
              "2     [kursi khusus pengguna kursi roda,  pintu masu...   \n",
              "3                                                   NaN   \n",
              "4                                                   NaN   \n",
              "...                                                 ...   \n",
              "2928                                                NaN   \n",
              "2929                                                NaN   \n",
              "2930                                                NaN   \n",
              "2931                                                NaN   \n",
              "2932                                                NaN   \n",
              "\n",
              "                                              fasilitas  \\\n",
              "0     [cocok untuk anak-anak,  perosotan,  toilet umum]   \n",
              "1                                                   NaN   \n",
              "2                      [cocok untuk anak-anak,  toilet]   \n",
              "3                               [cocok untuk anak-anak]   \n",
              "4                                                   NaN   \n",
              "...                                                 ...   \n",
              "2928                   [cocok untuk anak-anak,  toilet]   \n",
              "2929                                                NaN   \n",
              "2930                   [cocok untuk anak-anak,  toilet]   \n",
              "2931                            [cocok untuk anak-anak]   \n",
              "2932                                                NaN   \n",
              "\n",
              "                                           opsi_layanan  \\\n",
              "0                                                   NaN   \n",
              "1                                                   NaN   \n",
              "2     [antar tanpa bertemu,  pesan antar,  bawa pula...   \n",
              "3                                                   NaN   \n",
              "4                                                   NaN   \n",
              "...                                                 ...   \n",
              "2928                    [bawa pulang,  makan di tempat]   \n",
              "2929                                                NaN   \n",
              "2930                    [bawa pulang,  makan di tempat]   \n",
              "2931  [tempat duduk di area terbuka,  bawa pulang,  ...   \n",
              "2932                                                NaN   \n",
              "\n",
              "                                          penawaran  \\\n",
              "0                                               NaN   \n",
              "1                                               NaN   \n",
              "2                            [kopi,  makanan halal]   \n",
              "3                                               NaN   \n",
              "4                                               NaN   \n",
              "...                                             ...   \n",
              "2928  [kopi,  makanan halal,  menu untuk anak-anak]   \n",
              "2929                                            NaN   \n",
              "2930  [kopi,  makanan halal,  menu untuk anak-anak]   \n",
              "2931  [hidangan larut malam,  kopi,  makanan halal]   \n",
              "2932                                            NaN   \n",
              "\n",
              "                                          pilihan_makan            suasana  \\\n",
              "0                                                   NaN                NaN   \n",
              "1                                                   NaN                NaN   \n",
              "2     [sarapan,  brunch,  makan siang,  makan malam,...           [santai]   \n",
              "3                                                   NaN                NaN   \n",
              "4                                                   NaN                NaN   \n",
              "...                                                 ...                ...   \n",
              "2928        [sarapan,  brunch,  makan siang,  katering]  [nyaman,  santai]   \n",
              "2929                                                NaN                NaN   \n",
              "2930     [makan siang,  makan malam,  hidangan penutup]  [nyaman,  santai]   \n",
              "2931                       [makan malam,  tempat duduk]  [nyaman,  santai]   \n",
              "2932                                                NaN                NaN   \n",
              "\n",
              "     tipe_pengunjung           perencanaan  \\\n",
              "0                NaN                   NaN   \n",
              "1                NaN                   NaN   \n",
              "2      [berkelompok]  [menerima reservasi]   \n",
              "3                NaN                   NaN   \n",
              "4                NaN                   NaN   \n",
              "...              ...                   ...   \n",
              "2928   [berkelompok]  [menerima reservasi]   \n",
              "2929             NaN                   NaN   \n",
              "2930   [berkelompok]                   NaN   \n",
              "2931   [berkelompok]                   NaN   \n",
              "2932             NaN                   NaN   \n",
              "\n",
              "                                       no_aksesibilitas     pembayaran  \\\n",
              "0                                                   NaN            NaN   \n",
              "1                                                   NaN            NaN   \n",
              "2                                                   NaN            NaN   \n",
              "3                                                   NaN            NaN   \n",
              "4                                                   NaN            NaN   \n",
              "...                                                 ...            ...   \n",
              "2928  [kursi khusus pengguna kursi roda,  pintu masu...  [hanya tunai]   \n",
              "2929                                                NaN            NaN   \n",
              "2930                                                NaN            NaN   \n",
              "2931  [kursi khusus pengguna kursi roda,  pintu masu...  [hanya tunai]   \n",
              "2932                                                NaN            NaN   \n",
              "\n",
              "     description no_opsi_layanan keunggulan no_fasilitas dari_bisnis rute  \\\n",
              "0            NaN             NaN        NaN          NaN         NaN  NaN   \n",
              "1            NaN             NaN        NaN          NaN         NaN  NaN   \n",
              "2            NaN             NaN        NaN          NaN         NaN  NaN   \n",
              "3            NaN             NaN        NaN          NaN         NaN  NaN   \n",
              "4            NaN             NaN        NaN          NaN         NaN  NaN   \n",
              "...          ...             ...        ...          ...         ...  ...   \n",
              "2928         NaN             NaN        NaN          NaN         NaN  NaN   \n",
              "2929         NaN             NaN        NaN          NaN         NaN  NaN   \n",
              "2930         NaN             NaN        NaN          NaN         NaN  NaN   \n",
              "2931         NaN             NaN        NaN          NaN         NaN  NaN   \n",
              "2932         NaN             NaN        NaN          NaN         NaN  NaN   \n",
              "\n",
              "     aktivitas pendaurulangan populer_untuk  \n",
              "0          NaN            NaN           NaN  \n",
              "1          NaN            NaN           NaN  \n",
              "2          NaN            NaN           NaN  \n",
              "3          NaN            NaN           NaN  \n",
              "4          NaN            NaN           NaN  \n",
              "...        ...            ...           ...  \n",
              "2928       NaN            NaN           NaN  \n",
              "2929       NaN            NaN           NaN  \n",
              "2930       NaN            NaN           NaN  \n",
              "2931       NaN            NaN           NaN  \n",
              "2932       NaN            NaN           NaN  \n",
              "\n",
              "[2933 rows x 19 columns]"
            ]
          },
          "execution_count": 14,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_about_split = df_about.applymap(lambda x: x.split(',') if isinstance(x, str) else x)\n",
        "df_about_split"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 645
        },
        "id": "1_XaR5uXQmnO",
        "outputId": "2b78e8d2-e44a-4f8d-dadb-fc13dc884378"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "  <div id=\"df-25b6edf1-d0e3-473a-aae5-53f5116cb679\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>count</th>\n",
              "      <th>unique</th>\n",
              "      <th>top</th>\n",
              "      <th>freq</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>aksesibilitas</th>\n",
              "      <td>462</td>\n",
              "      <td>27</td>\n",
              "      <td>pintu masuk khusus pengguna kursi roda, tempat...</td>\n",
              "      <td>168</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>fasilitas</th>\n",
              "      <td>1810</td>\n",
              "      <td>85</td>\n",
              "      <td>cocok untuk anak-anak</td>\n",
              "      <td>668</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>opsi_layanan</th>\n",
              "      <td>1225</td>\n",
              "      <td>43</td>\n",
              "      <td>bawa pulang, makan di tempat</td>\n",
              "      <td>310</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>penawaran</th>\n",
              "      <td>1113</td>\n",
              "      <td>189</td>\n",
              "      <td>kopi, makanan halal</td>\n",
              "      <td>264</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>pilihan_makan</th>\n",
              "      <td>1115</td>\n",
              "      <td>75</td>\n",
              "      <td>makan siang, makan malam</td>\n",
              "      <td>148</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>suasana</th>\n",
              "      <td>1133</td>\n",
              "      <td>7</td>\n",
              "      <td>nyaman, santai</td>\n",
              "      <td>904</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>tipe_pengunjung</th>\n",
              "      <td>1024</td>\n",
              "      <td>3</td>\n",
              "      <td>berkelompok</td>\n",
              "      <td>770</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>perencanaan</th>\n",
              "      <td>657</td>\n",
              "      <td>7</td>\n",
              "      <td>menerima reservasi</td>\n",
              "      <td>609</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>no_aksesibilitas</th>\n",
              "      <td>1176</td>\n",
              "      <td>24</td>\n",
              "      <td>pintu masuk khusus pengguna kursi roda, tempat...</td>\n",
              "      <td>321</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>pembayaran</th>\n",
              "      <td>866</td>\n",
              "      <td>24</td>\n",
              "      <td>hanya tunai</td>\n",
              "      <td>482</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>description</th>\n",
              "      <td>524</td>\n",
              "      <td>522</td>\n",
              "      <td>jembatan kolonial belanda yang dibangun pada 1...</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>no_opsi_layanan</th>\n",
              "      <td>46</td>\n",
              "      <td>6</td>\n",
              "      <td>pesan antar</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>keunggulan</th>\n",
              "      <td>206</td>\n",
              "      <td>30</td>\n",
              "      <td>pelayanan cepat</td>\n",
              "      <td>86</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>no_fasilitas</th>\n",
              "      <td>43</td>\n",
              "      <td>1</td>\n",
              "      <td>restoran</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>dari_bisnis</th>\n",
              "      <td>35</td>\n",
              "      <td>1</td>\n",
              "      <td>mengidentifikasi diri sebagai milik perempuan</td>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>rute</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>transportasi umum tersedia 24 jam</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>aktivitas</th>\n",
              "      <td>15</td>\n",
              "      <td>1</td>\n",
              "      <td>mendaki</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>pendaurulangan</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>pakaian</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>populer_untuk</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>makan malam</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-25b6edf1-d0e3-473a-aae5-53f5116cb679')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-25b6edf1-d0e3-473a-aae5-53f5116cb679 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-25b6edf1-d0e3-473a-aae5-53f5116cb679');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                 count unique  \\\n",
              "aksesibilitas      462     27   \n",
              "fasilitas         1810     85   \n",
              "opsi_layanan      1225     43   \n",
              "penawaran         1113    189   \n",
              "pilihan_makan     1115     75   \n",
              "suasana           1133      7   \n",
              "tipe_pengunjung   1024      3   \n",
              "perencanaan        657      7   \n",
              "no_aksesibilitas  1176     24   \n",
              "pembayaran         866     24   \n",
              "description        524    522   \n",
              "no_opsi_layanan     46      6   \n",
              "keunggulan         206     30   \n",
              "no_fasilitas        43      1   \n",
              "dari_bisnis         35      1   \n",
              "rute                 2      1   \n",
              "aktivitas           15      1   \n",
              "pendaurulangan       1      1   \n",
              "populer_untuk        1      1   \n",
              "\n",
              "                                                                top freq  \n",
              "aksesibilitas     pintu masuk khusus pengguna kursi roda, tempat...  168  \n",
              "fasilitas                                     cocok untuk anak-anak  668  \n",
              "opsi_layanan                           bawa pulang, makan di tempat  310  \n",
              "penawaran                                       kopi, makanan halal  264  \n",
              "pilihan_makan                              makan siang, makan malam  148  \n",
              "suasana                                              nyaman, santai  904  \n",
              "tipe_pengunjung                                         berkelompok  770  \n",
              "perencanaan                                      menerima reservasi  609  \n",
              "no_aksesibilitas  pintu masuk khusus pengguna kursi roda, tempat...  321  \n",
              "pembayaran                                              hanya tunai  482  \n",
              "description       jembatan kolonial belanda yang dibangun pada 1...    2  \n",
              "no_opsi_layanan                                         pesan antar   40  \n",
              "keunggulan                                          pelayanan cepat   86  \n",
              "no_fasilitas                                               restoran   43  \n",
              "dari_bisnis           mengidentifikasi diri sebagai milik perempuan   35  \n",
              "rute                              transportasi umum tersedia 24 jam    2  \n",
              "aktivitas                                                   mendaki   15  \n",
              "pendaurulangan                                              pakaian    1  \n",
              "populer_untuk                                           makan malam    1  "
            ]
          },
          "execution_count": 15,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "column_stats = df_about.describe(include='all').transpose()\n",
        "column_stats"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 16,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 645
        },
        "id": "PMZy95HrT5kf",
        "outputId": "ecf7c780-71cf-4f14-a6c2-894c3f1f4ad0"
      },
      "outputs": [
        {
          "data": {
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              "      <th>3</th>\n",
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              "      <th>9</th>\n",
              "      <td>no_aksesibilitas</td>\n",
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              "      <th>10</th>\n",
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              "      <th>11</th>\n",
              "      <td>suasana</td>\n",
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              "      <td>4</td>\n",
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              "      <th>12</th>\n",
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              "      <td>2</td>\n",
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              "      <th>14</th>\n",
              "      <td>dari_bisnis</td>\n",
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              "      <td>1</td>\n",
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              "          const element = document.querySelector('#df-48b650a6-70e2-49ed-866f-e1197c74f2dd');\n",
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              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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            "text/plain": [
              "              Column                                      Unique Values Length\n",
              "0        description  [pakaian & aksesori olahraga untuk pria, peral...   1017\n",
              "1          penawaran  [makanan, layanan perbaikan, makanan halal, va...     24\n",
              "2          fasilitas  [toilet umum, restoran, lapangan voli, toilet,...     16\n",
              "3       opsi_layanan  [antar tanpa bertemu, belanja di toko, ambil d...     13\n",
              "4         keunggulan  [musik live, pertunjukan live, perapian, tempa...      9\n",
              "5      aksesibilitas  [tempat parkir khusus pengguna kursi roda, pin...      8\n",
              "6      pilihan_makan  [katering, brunch, makan malam, hidangan penut...      8\n",
              "7         pembayaran  [pembayaran nfc dengan ponsel, kartu debit, ha...      7\n",
              "8        perencanaan  [janji temu diperlukan untuk tes covid, diperl...      6\n",
              "9   no_aksesibilitas  [tempat parkir khusus pengguna kursi roda, pin...      5\n",
              "10   no_opsi_layanan  [pesan antar, makan di tempat, layanan di temp...      5\n",
              "11           suasana         [kelas atas, nyaman, santai, lagi ngetren]      4\n",
              "12   tipe_pengunjung                      [ramah keluarga, berkelompok]      2\n",
              "13      no_fasilitas                                         [restoran]      1\n",
              "14       dari_bisnis    [mengidentifikasi diri sebagai milik perempuan]      1\n",
              "15              rute                [transportasi umum tersedia 24 jam]      1\n",
              "16         aktivitas                                          [mendaki]      1\n",
              "17    pendaurulangan                                          [pakaian]      1\n",
              "18     populer_untuk                                      [makan malam]      1"
            ]
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "info_dict = {}\n",
        "for col in df_about_split.columns:\n",
        "    val_set = set()\n",
        "    values = df_about[col].unique()\n",
        "    for val in values:\n",
        "        if isinstance(val, float):\n",
        "            continue\n",
        "        for v in val.split(','):\n",
        "            val_set.add(v.strip())\n",
        "    info_dict[col] = {\"Unique values\": list(val_set), \"Length\": len(val_set)}\n",
        "\n",
        "df_column_info = pd.DataFrame(info_dict).T.reset_index()\n",
        "df_column_info.sort_values(by='Length', inplace=True, ascending=False, ignore_index=True)\n",
        "df_column_info.columns = ['Column', 'Unique Values', 'Length']\n",
        "\n",
        "df_column_info"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 580
        },
        "id": "67kVv3IB1-Xx",
        "outputId": "a7be3a5d-f86b-436e-d8ef-af16ad14f0d8"
      },
      "outputs": [
        {
          "data": {
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              "\n",
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              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Taman Kebagusan</td>\n",
              "      <td>4.5</td>\n",
              "      <td>286.0</td>\n",
              "      <td>MRXH+H6W, Jl. Kebagusan I, RT.9/RW.7, Kebagusa...</td>\n",
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              "      <th>2</th>\n",
              "      <td>Pantai Sentosa Seafood Market</td>\n",
              "      <td>4.5</td>\n",
              "      <td>2654.0</td>\n",
              "      <td>Jl. Lkr. Luar Barat No.23, RW.1, Kembangan Sel...</td>\n",
              "      <td>Kota Jakarta Barat</td>\n",
              "      <td>{\"sambal\": \"51\", \"diskon\": \"32\", \"makanan_sega...</td>\n",
              "      <td>{\"opsi_layanan\": \"antar tanpa bertemu, pesan a...</td>\n",
              "      <td>['tempat makan']</td>\n",
              "      <td>-6.18256</td>\n",
              "      <td>106.729</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Taman kebagusan raya</td>\n",
              "      <td>4.8</td>\n",
              "      <td>4.0</td>\n",
              "      <td>Jl. Kebagusan Raya No.75 H, RT.13/RW.5, Jagaka...</td>\n",
              "      <td>Kota Jakarta Selatan</td>\n",
              "      <td>{}</td>\n",
              "      <td>{\"fasilitas\": \"cocok untuk anak-anak\"}</td>\n",
              "      <td>['tempat wisata']</td>\n",
              "      <td>-6.32608</td>\n",
              "      <td>106.824</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Pulau Ayer</td>\n",
              "      <td>4.6</td>\n",
              "      <td>48.0</td>\n",
              "      <td>Pulau Panggang, Kepulauan Seribu Utara, Kab. A...</td>\n",
              "      <td>Kabupaten Kepulauan Seribu</td>\n",
              "      <td>{\"snorkling\": \"4\"}</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-5.76361</td>\n",
              "      <td>106.583</td>\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
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              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
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              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "  "
            ],
            "text/plain": [
              "                                       name  rating  total_review  \\\n",
              "0                           Taman Kebagusan     4.5         286.0   \n",
              "1  Inspektorat Daerah Kabupaten Kulon Progo     4.1           8.0   \n",
              "2             Pantai Sentosa Seafood Market     4.5        2654.0   \n",
              "3                      Taman kebagusan raya     4.8           4.0   \n",
              "4                                Pulau Ayer     4.6          48.0   \n",
              "\n",
              "                                             address  \\\n",
              "0  MRXH+H6W, Jl. Kebagusan I, RT.9/RW.7, Kebagusa...   \n",
              "1  45V7+3CW, Jl. Sugiman Gang Bispa, Kemiri, Kec....   \n",
              "2  Jl. Lkr. Luar Barat No.23, RW.1, Kembangan Sel...   \n",
              "3  Jl. Kebagusan Raya No.75 H, RT.13/RW.5, Jagaka...   \n",
              "4  Pulau Panggang, Kepulauan Seribu Utara, Kab. A...   \n",
              "\n",
              "                         city  \\\n",
              "0        Kota Jakarta Selatan   \n",
              "1       Kabupaten Kulon Progo   \n",
              "2          Kota Jakarta Barat   \n",
              "3        Kota Jakarta Selatan   \n",
              "4  Kabupaten Kepulauan Seribu   \n",
              "\n",
              "                                            category  \\\n",
              "0  {\"sampah\": \"12\", \"bermain\": \"11\", \"jogging\": \"...   \n",
              "1                                                 {}   \n",
              "2  {\"sambal\": \"51\", \"diskon\": \"32\", \"makanan_sega...   \n",
              "3                                                 {}   \n",
              "4                                 {\"snorkling\": \"4\"}   \n",
              "\n",
              "                                               about   keyword_category  \\\n",
              "0  {\"aksesibilitas\": \"pintu masuk khusus pengguna...  ['tempat wisata']   \n",
              "1                                                 {}       ['kegiatan']   \n",
              "2  {\"opsi_layanan\": \"antar tanpa bertemu, pesan a...   ['tempat makan']   \n",
              "3             {\"fasilitas\": \"cocok untuk anak-anak\"}  ['tempat wisata']   \n",
              "4                                                 {}       ['kegiatan']   \n",
              "\n",
              "   latitude  longitude  \n",
              "0  -6.30102    106.828  \n",
              "1  -7.85726    110.164  \n",
              "2  -6.18256    106.729  \n",
              "3  -6.32608    106.824  \n",
              "4  -5.76361    106.583  "
            ]
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "colab": {
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        },
        "id": "CSMReYpx1_g6",
        "outputId": "61a87c0e-07bc-4aa6-bb64-ff356c525005"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 2933 entries, 0 to 2932\n",
            "Data columns (total 10 columns):\n",
            " #   Column            Non-Null Count  Dtype  \n",
            "---  ------            --------------  -----  \n",
            " 0   name              2933 non-null   object \n",
            " 1   rating            2766 non-null   float64\n",
            " 2   total_review      2766 non-null   float64\n",
            " 3   address           2879 non-null   object \n",
            " 4   city              2933 non-null   object \n",
            " 5   category          2933 non-null   object \n",
            " 6   about             2933 non-null   object \n",
            " 7   keyword_category  2932 non-null   object \n",
            " 8   latitude          2933 non-null   float64\n",
            " 9   longitude         2933 non-null   float64\n",
            "dtypes: float64(4), object(6)\n",
            "memory usage: 229.3+ KB\n"
          ]
        }
      ],
      "source": [
        "df.info()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
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          "height": 300
        },
        "id": "lmVmbTte2ALc",
        "outputId": "06d287a9-2dbf-420f-9194-b0fcf52c157f"
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        {
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              "      <th>mean</th>\n",
              "      <td>4.451193</td>\n",
              "      <td>1832.410340</td>\n",
              "      <td>-7.098326</td>\n",
              "      <td>108.790634</td>\n",
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              "      <th>std</th>\n",
              "      <td>0.348477</td>\n",
              "      <td>6274.961001</td>\n",
              "      <td>0.848380</td>\n",
              "      <td>1.802430</td>\n",
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              "      <th>min</th>\n",
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              "      <th>25%</th>\n",
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              "      <td>61.000000</td>\n",
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              "      <td>147572.000000</td>\n",
              "      <td>-2.445650</td>\n",
              "      <td>117.889000</td>\n",
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              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-ee2f8c4a-da0e-487a-b095-80e437794ca6 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-ee2f8c4a-da0e-487a-b095-80e437794ca6');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "            rating   total_review     latitude    longitude\n",
              "count  2766.000000    2766.000000  2933.000000  2933.000000\n",
              "mean      4.451193    1832.410340    -7.098326   108.790634\n",
              "std       0.348477    6274.961001     0.848380     1.802430\n",
              "min       1.000000       1.000000    -8.199570   106.441000\n",
              "25%       4.300000      61.000000    -7.836030   106.824000\n",
              "50%       4.500000     343.500000    -7.714400   110.217000\n",
              "75%       4.600000    1300.500000    -6.191010   110.387000\n",
              "max       5.000000  147572.000000    -2.445650   117.889000"
            ]
          },
          "execution_count": 19,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.describe()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 20,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 175
        },
        "id": "8ym7wKFS2BEO",
        "outputId": "24c7a4ef-a8c3-4e4f-c1f9-30c8bf3d28bf"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
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              "\n",
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              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>name</th>\n",
              "      <th>address</th>\n",
              "      <th>city</th>\n",
              "      <th>category</th>\n",
              "      <th>about</th>\n",
              "      <th>keyword_category</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>2933</td>\n",
              "      <td>2879</td>\n",
              "      <td>2933</td>\n",
              "      <td>2933</td>\n",
              "      <td>2933</td>\n",
              "      <td>2932</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>unique</th>\n",
              "      <td>2895</td>\n",
              "      <td>2825</td>\n",
              "      <td>11</td>\n",
              "      <td>1879</td>\n",
              "      <td>1536</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>top</th>\n",
              "      <td>Warung Makan</td>\n",
              "      <td>Jl. Pantai Sel. Jawa, Pantai, Tepus, Kec. Tepu...</td>\n",
              "      <td>Kabupaten Gunung Kidul</td>\n",
              "      <td>{}</td>\n",
              "      <td>{}</td>\n",
              "      <td>['tempat makan']</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>freq</th>\n",
              "      <td>8</td>\n",
              "      <td>5</td>\n",
              "      <td>386</td>\n",
              "      <td>994</td>\n",
              "      <td>834</td>\n",
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              "\n",
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              "\n",
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              "          const element = document.querySelector('#df-462840de-6b7e-4499-a434-d5d20a0e80c7');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ],
            "text/plain": [
              "                name                                            address  \\\n",
              "count           2933                                               2879   \n",
              "unique          2895                                               2825   \n",
              "top     Warung Makan  Jl. Pantai Sel. Jawa, Pantai, Tepus, Kec. Tepu...   \n",
              "freq               8                                                  5   \n",
              "\n",
              "                          city category about  keyword_category  \n",
              "count                     2933     2933  2933              2932  \n",
              "unique                      11     1879  1536                13  \n",
              "top     Kabupaten Gunung Kidul       {}    {}  ['tempat makan']  \n",
              "freq                       386      994   834              1131  "
            ]
          },
          "execution_count": 20,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df.describe(include=['object'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "_chJhJaS4HSG"
      },
      "outputs": [],
      "source": [
        "# mengecek nilai null\n",
        "def cek_null(df):\n",
        "    col_na = df.isnull().sum().sort_values(ascending=True)\n",
        "    percent = col_na / len(df)\n",
        "\n",
        "    missing_data = pd.concat([col_na, percent], axis=1, keys=['Total', 'Percent'])\n",
        "\n",
        "    if (missing_data[missing_data['Total'] > 0].shape[0] == 0):\n",
        "        print(\"Tidak ditemukan missing value pada dataset\")\n",
        "\n",
        "    else:\n",
        "        print(missing_data[missing_data['Total'] > 0])"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "sAghfAlGlMlI"
      },
      "source": [
        "# Content based user's preference destination recommendation"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 635
        },
        "id": "CYwI5qowlL1R",
        "outputId": "14675a7d-350d-4cfa-f3bd-8ea943d65aeb"
      },
      "outputs": [
        {
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
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              "      <th></th>\n",
              "      <th>name</th>\n",
              "      <th>rating</th>\n",
              "      <th>total_review</th>\n",
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              "      <th>city</th>\n",
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              "      <th>keyword_category</th>\n",
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              "      <th>longitude</th>\n",
              "      <th>general_length</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Taman Kebagusan</td>\n",
              "      <td>4.5</td>\n",
              "      <td>286.0</td>\n",
              "      <td>MRXH+H6W, Jl. Kebagusan I, RT.9/RW.7, Kebagusa...</td>\n",
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              "      <td>[sampah, bermain, jogging, olahraga, warga, so...</td>\n",
              "      <td>[fasilitas, kenyamanan, olahraga, outdoor, pag...</td>\n",
              "      <td>{\"aksesibilitas\": \"pintu masuk khusus pengguna...</td>\n",
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              "      <td>106.828</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Inspektorat Daerah Kabupaten Kulon Progo</td>\n",
              "      <td>4.1</td>\n",
              "      <td>8.0</td>\n",
              "      <td>45V7+3CW, Jl. Sugiman Gang Bispa, Kemiri, Kec....</td>\n",
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              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-7.85726</td>\n",
              "      <td>110.164</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Pantai Sentosa Seafood Market</td>\n",
              "      <td>4.5</td>\n",
              "      <td>2654.0</td>\n",
              "      <td>Jl. Lkr. Luar Barat No.23, RW.1, Kembangan Sel...</td>\n",
              "      <td>Kota Jakarta Barat</td>\n",
              "      <td>[sambal, diskon, makanan_segar, udang_goreng, ...</td>\n",
              "      <td>[makanan, pedas, tempat_makan]</td>\n",
              "      <td>{\"opsi_layanan\": \"antar tanpa bertemu, pesan a...</td>\n",
              "      <td>['tempat makan']</td>\n",
              "      <td>-6.18256</td>\n",
              "      <td>106.729</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Taman kebagusan raya</td>\n",
              "      <td>4.8</td>\n",
              "      <td>4.0</td>\n",
              "      <td>Jl. Kebagusan Raya No.75 H, RT.13/RW.5, Jagaka...</td>\n",
              "      <td>Kota Jakarta Selatan</td>\n",
              "      <td>[]</td>\n",
              "      <td>[]</td>\n",
              "      <td>{\"fasilitas\": \"cocok untuk anak-anak\"}</td>\n",
              "      <td>['tempat wisata']</td>\n",
              "      <td>-6.32608</td>\n",
              "      <td>106.824</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Pulau Ayer</td>\n",
              "      <td>4.6</td>\n",
              "      <td>48.0</td>\n",
              "      <td>Pulau Panggang, Kepulauan Seribu Utara, Kab. A...</td>\n",
              "      <td>Kabupaten Kepulauan Seribu</td>\n",
              "      <td>[snorkling]</td>\n",
              "      <td>[aktivitas_air, alam_terbuka, rekreasi]</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-5.76361</td>\n",
              "      <td>106.583</td>\n",
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              "\n",
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              "\n",
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              "\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-84afa4bc-8cd2-4f74-b549-c4a4fc74104f');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                       name  rating  total_review  \\\n",
              "0                           Taman Kebagusan     4.5         286.0   \n",
              "1  Inspektorat Daerah Kabupaten Kulon Progo     4.1           8.0   \n",
              "2             Pantai Sentosa Seafood Market     4.5        2654.0   \n",
              "3                      Taman kebagusan raya     4.8           4.0   \n",
              "4                                Pulau Ayer     4.6          48.0   \n",
              "\n",
              "                                             address  \\\n",
              "0  MRXH+H6W, Jl. Kebagusan I, RT.9/RW.7, Kebagusa...   \n",
              "1  45V7+3CW, Jl. Sugiman Gang Bispa, Kemiri, Kec....   \n",
              "2  Jl. Lkr. Luar Barat No.23, RW.1, Kembangan Sel...   \n",
              "3  Jl. Kebagusan Raya No.75 H, RT.13/RW.5, Jagaka...   \n",
              "4  Pulau Panggang, Kepulauan Seribu Utara, Kab. A...   \n",
              "\n",
              "                         city  \\\n",
              "0        Kota Jakarta Selatan   \n",
              "1       Kabupaten Kulon Progo   \n",
              "2          Kota Jakarta Barat   \n",
              "3        Kota Jakarta Selatan   \n",
              "4  Kabupaten Kepulauan Seribu   \n",
              "\n",
              "                                            category  \\\n",
              "0  [sampah, bermain, jogging, olahraga, warga, so...   \n",
              "1                                                 []   \n",
              "2  [sambal, diskon, makanan_segar, udang_goreng, ...   \n",
              "3                                                 []   \n",
              "4                                        [snorkling]   \n",
              "\n",
              "                                    general_category  \\\n",
              "0  [fasilitas, kenyamanan, olahraga, outdoor, pag...   \n",
              "1                                                 []   \n",
              "2                     [makanan, pedas, tempat_makan]   \n",
              "3                                                 []   \n",
              "4            [aktivitas_air, alam_terbuka, rekreasi]   \n",
              "\n",
              "                                               about   keyword_category  \\\n",
              "0  {\"aksesibilitas\": \"pintu masuk khusus pengguna...  ['tempat wisata']   \n",
              "1                                                 {}       ['kegiatan']   \n",
              "2  {\"opsi_layanan\": \"antar tanpa bertemu, pesan a...   ['tempat makan']   \n",
              "3             {\"fasilitas\": \"cocok untuk anak-anak\"}  ['tempat wisata']   \n",
              "4                                                 {}       ['kegiatan']   \n",
              "\n",
              "   latitude  longitude  general_length  \n",
              "0  -6.30102    106.828               9  \n",
              "1  -7.85726    110.164               0  \n",
              "2  -6.18256    106.729               3  \n",
              "3  -6.32608    106.824               0  \n",
              "4  -5.76361    106.583               3  "
            ]
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_coba_3 = df_3.copy()\n",
        "df_coba_3.head()"
      ]
    },
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              "                                       name  rating  total_review  \\\n",
              "0                           Taman Kebagusan     4.5         286.0   \n",
              "1  Inspektorat Daerah Kabupaten Kulon Progo     4.1           8.0   \n",
              "2             Pantai Sentosa Seafood Market     4.5        2654.0   \n",
              "3                      Taman kebagusan raya     4.8           4.0   \n",
              "4                                Pulau Ayer     4.6          48.0   \n",
              "\n",
              "                                             address  \\\n",
              "0  MRXH+H6W, Jl. Kebagusan I, RT.9/RW.7, Kebagusa...   \n",
              "1  45V7+3CW, Jl. Sugiman Gang Bispa, Kemiri, Kec....   \n",
              "2  Jl. Lkr. Luar Barat No.23, RW.1, Kembangan Sel...   \n",
              "3  Jl. Kebagusan Raya No.75 H, RT.13/RW.5, Jagaka...   \n",
              "4  Pulau Panggang, Kepulauan Seribu Utara, Kab. A...   \n",
              "\n",
              "                         city  \\\n",
              "0        Kota Jakarta Selatan   \n",
              "1       Kabupaten Kulon Progo   \n",
              "2          Kota Jakarta Barat   \n",
              "3        Kota Jakarta Selatan   \n",
              "4  Kabupaten Kepulauan Seribu   \n",
              "\n",
              "                                            category  \\\n",
              "0  [sampah, bermain, jogging, olahraga, warga, so...   \n",
              "1                                                 []   \n",
              "2  [sambal, diskon, makanan_segar, udang_goreng, ...   \n",
              "3                                                 []   \n",
              "4                                        [snorkling]   \n",
              "\n",
              "                                    general_category  \\\n",
              "0  [fasilitas, kenyamanan, olahraga, outdoor, pag...   \n",
              "1                                                 []   \n",
              "2                     [makanan, pedas, tempat_makan]   \n",
              "3                                                 []   \n",
              "4            [aktivitas_air, alam_terbuka, rekreasi]   \n",
              "\n",
              "                                               about   keyword_category  \\\n",
              "0  {\"aksesibilitas\": \"pintu masuk khusus pengguna...  ['tempat wisata']   \n",
              "1                                                 {}       ['kegiatan']   \n",
              "2  {\"opsi_layanan\": \"antar tanpa bertemu, pesan a...   ['tempat makan']   \n",
              "3             {\"fasilitas\": \"cocok untuk anak-anak\"}  ['tempat wisata']   \n",
              "4                                                 {}       ['kegiatan']   \n",
              "\n",
              "   latitude  longitude  general_length  \n",
              "0  -6.30102    106.828               9  \n",
              "1  -7.85726    110.164               0  \n",
              "2  -6.18256    106.729               3  \n",
              "3  -6.32608    106.824               0  \n",
              "4  -5.76361    106.583               3  "
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              "      <td>[toko_buku, taman, standar, kerja, strategis, ...</td>\n",
              "      <td>[alam, estetik, fasilitas, indoor, lokasi, pem...</td>\n",
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              "                                                     [key], {});\n",
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              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ],
            "text/plain": [
              "                             name  rating  total_review  \\\n",
              "0                 Taman Kebagusan     4.5         286.0   \n",
              "2   Pantai Sentosa Seafood Market     4.5        2654.0   \n",
              "4                      Pulau Ayer     4.6          48.0   \n",
              "6           Arka Coffee and Space     4.9         361.0   \n",
              "11             Pluit Junction XXI     4.2       11192.0   \n",
              "\n",
              "                                              address  \\\n",
              "0   MRXH+H6W, Jl. Kebagusan I, RT.9/RW.7, Kebagusa...   \n",
              "2   Jl. Lkr. Luar Barat No.23, RW.1, Kembangan Sel...   \n",
              "4   Pulau Panggang, Kepulauan Seribu Utara, Kab. A...   \n",
              "6   Jl. Taman Sari No.1/310, Patehan, Kecamatan Kr...   \n",
              "11  Pluit Junction Mall, Jl. Pluit Raya No.1, Penj...   \n",
              "\n",
              "                          city  \\\n",
              "0         Kota Jakarta Selatan   \n",
              "2           Kota Jakarta Barat   \n",
              "4   Kabupaten Kepulauan Seribu   \n",
              "6              Kota Yogyakarta   \n",
              "11  Kabupaten Kepulauan Seribu   \n",
              "\n",
              "                                             category  \\\n",
              "0   [sampah, bermain, jogging, olahraga, warga, so...   \n",
              "2   [sambal, diskon, makanan_segar, udang_goreng, ...   \n",
              "4                                         [snorkling]   \n",
              "6   [toko_buku, taman, standar, kerja, strategis, ...   \n",
              "11  [gym, karaoke, starbucks, nyaman, all_you_can_...   \n",
              "\n",
              "                                     general_category  \\\n",
              "0   [fasilitas, kenyamanan, olahraga, outdoor, pag...   \n",
              "2                      [makanan, pedas, tempat_makan]   \n",
              "4             [aktivitas_air, alam_terbuka, rekreasi]   \n",
              "6   [alam, estetik, fasilitas, indoor, lokasi, pem...   \n",
              "11  [indoor, kenyamanan, malam_hari, olahraga, out...   \n",
              "\n",
              "                                                about   keyword_category  \\\n",
              "0   {\"aksesibilitas\": \"pintu masuk khusus pengguna...  ['tempat wisata']   \n",
              "2   {\"opsi_layanan\": \"antar tanpa bertemu, pesan a...   ['tempat makan']   \n",
              "4                                                  {}       ['kegiatan']   \n",
              "6   {\"opsi_layanan\": \"tempat duduk di area terbuka...       ['kegiatan']   \n",
              "11  {\"aksesibilitas\": \"pintu masuk khusus pengguna...       ['kegiatan']   \n",
              "\n",
              "    latitude  longitude  general_length  \n",
              "0   -6.30102    106.828               9  \n",
              "2   -6.18256    106.729               3  \n",
              "4   -5.76361    106.583               3  \n",
              "6   -7.81017    110.360               8  \n",
              "11  -6.12621    106.791               6  "
            ]
          },
          "execution_count": 24,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_cleaned = df_coba_3[df_coba_3['general_category'].apply(lambda x: len(x) != 0)]\n",
        "df_cleaned.head()"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "rEsygrtxrLu_"
      },
      "source": [
        "## Filter dataset to display only non restaurant and hotel data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 600
        },
        "id": "Ne18mtiSrPmW",
        "outputId": "aa5b86ed-0e39-4c7b-e389-46555b4ab154"
      },
      "outputs": [
        {
          "data": {
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              "      <th>name</th>\n",
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              "      <th>keyword_category</th>\n",
              "      <th>latitude</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Taman Kebagusan</td>\n",
              "      <td>4.5</td>\n",
              "      <td>286.0</td>\n",
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              "      <td>9</td>\n",
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              "      <th>4</th>\n",
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              "      <td>48.0</td>\n",
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              "      <td>3</td>\n",
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              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Arka Coffee and Space</td>\n",
              "      <td>4.9</td>\n",
              "      <td>361.0</td>\n",
              "      <td>Jl. Taman Sari No.1/310, Patehan, Kecamatan Kr...</td>\n",
              "      <td>Kota Yogyakarta</td>\n",
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              "      <td>[alam, estetik, fasilitas, indoor, lokasi, pem...</td>\n",
              "      <td>{\"opsi_layanan\": \"tempat duduk di area terbuka...</td>\n",
              "      <td>['kegiatan']</td>\n",
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              "      <td>110.360</td>\n",
              "      <td>8</td>\n",
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              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Pluit Junction XXI</td>\n",
              "      <td>4.2</td>\n",
              "      <td>11192.0</td>\n",
              "      <td>Pluit Junction Mall, Jl. Pluit Raya No.1, Penj...</td>\n",
              "      <td>Kabupaten Kepulauan Seribu</td>\n",
              "      <td>[gym, karaoke, starbucks, nyaman, all_you_can_...</td>\n",
              "      <td>[indoor, kenyamanan, malam_hari, olahraga, out...</td>\n",
              "      <td>{\"aksesibilitas\": \"pintu masuk khusus pengguna...</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-6.12621</td>\n",
              "      <td>106.791</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Pucanganom</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kabupaten Gunung Kidul</td>\n",
              "      <td>[foto, sejuk, pemandangan, tiket, selfie, lamp...</td>\n",
              "      <td>[estetik, foto, fotogenik, kenyamanan, pemanda...</td>\n",
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            "text/plain": [
              "                     name  rating  total_review  \\\n",
              "0         Taman Kebagusan     4.5         286.0   \n",
              "4              Pulau Ayer     4.6          48.0   \n",
              "6   Arka Coffee and Space     4.9         361.0   \n",
              "11     Pluit Junction XXI     4.2       11192.0   \n",
              "16             Pucanganom     NaN           NaN   \n",
              "\n",
              "                                              address  \\\n",
              "0   MRXH+H6W, Jl. Kebagusan I, RT.9/RW.7, Kebagusa...   \n",
              "4   Pulau Panggang, Kepulauan Seribu Utara, Kab. A...   \n",
              "6   Jl. Taman Sari No.1/310, Patehan, Kecamatan Kr...   \n",
              "11  Pluit Junction Mall, Jl. Pluit Raya No.1, Penj...   \n",
              "16                                               None   \n",
              "\n",
              "                          city  \\\n",
              "0         Kota Jakarta Selatan   \n",
              "4   Kabupaten Kepulauan Seribu   \n",
              "6              Kota Yogyakarta   \n",
              "11  Kabupaten Kepulauan Seribu   \n",
              "16      Kabupaten Gunung Kidul   \n",
              "\n",
              "                                             category  \\\n",
              "0   [sampah, bermain, jogging, olahraga, warga, so...   \n",
              "4                                         [snorkling]   \n",
              "6   [toko_buku, taman, standar, kerja, strategis, ...   \n",
              "11  [gym, karaoke, starbucks, nyaman, all_you_can_...   \n",
              "16  [foto, sejuk, pemandangan, tiket, selfie, lamp...   \n",
              "\n",
              "                                     general_category  \\\n",
              "0   [fasilitas, kenyamanan, olahraga, outdoor, pag...   \n",
              "4             [aktivitas_air, alam_terbuka, rekreasi]   \n",
              "6   [alam, estetik, fasilitas, indoor, lokasi, pem...   \n",
              "11  [indoor, kenyamanan, malam_hari, olahraga, out...   \n",
              "16  [estetik, foto, fotogenik, kenyamanan, pemanda...   \n",
              "\n",
              "                                                about   keyword_category  \\\n",
              "0   {\"aksesibilitas\": \"pintu masuk khusus pengguna...  ['tempat wisata']   \n",
              "4                                                  {}       ['kegiatan']   \n",
              "6   {\"opsi_layanan\": \"tempat duduk di area terbuka...       ['kegiatan']   \n",
              "11  {\"aksesibilitas\": \"pintu masuk khusus pengguna...       ['kegiatan']   \n",
              "16                                                 {}       ['kegiatan']   \n",
              "\n",
              "    latitude  longitude  general_length  \n",
              "0   -6.30102    106.828               9  \n",
              "4   -5.76361    106.583               3  \n",
              "6   -7.81017    110.360               8  \n",
              "11  -6.12621    106.791               6  \n",
              "16  -8.04279    110.727               8  "
            ]
          },
          "execution_count": 25,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_cleaned = df_cleaned[df_cleaned.keyword_category.apply(lambda x: x is not None and 'tempat makan' not in x and 'penginapan' not in x)]\n",
        "\n",
        "df_cleaned.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VPYy38jfsydZ",
        "outputId": "e400bbba-d9f4-4a0d-b072-4ee24c9f2452"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "['tempat wisata']                444\n",
              "['kegiatan']                     314\n",
              "[\"kegiatan\", \"tempat wisata\"]    129\n",
              "[\"tempat wisata\", \"kegiatan\"]     81\n",
              "Name: keyword_category, dtype: int64"
            ]
          },
          "execution_count": 26,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_cleaned.keyword_category.value_counts()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LbBHAFw8rYTP",
        "outputId": "451f60a3-91dc-4df0-f2b5-6692168d1f30"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "968"
            ]
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_cleaned.shape[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "k35hlRswpjyh",
        "outputId": "b06da238-1fa1-423a-fa9c-e2cecbe5a39e"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Kota Yogyakarta               158\n",
              "Kabupaten Gunung Kidul        134\n",
              "Kabupaten Sleman              124\n",
              "Kabupaten Bantul               92\n",
              "Kota Jakarta Timur             85\n",
              "Kota Jakarta Barat             84\n",
              "Kabupaten Kulon Progo          79\n",
              "Kota Jakarta Pusat             66\n",
              "Kota Jakarta Selatan           61\n",
              "Kabupaten Kepulauan Seribu     46\n",
              "Kota Jakarta Utara             39\n",
              "Name: city, dtype: int64"
            ]
          },
          "execution_count": 28,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "df_cleaned.city.value_counts()"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "BPjmh5dzp3-w"
      },
      "source": [
        "## Modelling"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 29,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6p7Ck-cxp6Ag",
        "outputId": "c9760a9d-a20e-4d9a-ebb6-8b9c8c76ba5a"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: Sastrawi in /usr/local/lib/python3.10/dist-packages (1.0.1)\n"
          ]
        }
      ],
      "source": [
        "!pip install Sastrawi\n",
        "\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "from Sastrawi.Stemmer.StemmerFactory import StemmerFactory\n",
        "from Sastrawi.StopWordRemover.StopWordRemoverFactory import StopWordRemoverFactory\n",
        "from sklearn.metrics.pairwise import cosine_similarity\n",
        "\n",
        "from zipfile import ZipFile\n",
        "import tensorflow as tf\n",
        "from tensorflow import keras\n",
        "from tensorflow.keras import layers\n",
        "from pathlib import Path\n",
        "\n",
        "tv = TfidfVectorizer(max_features=5000)\n",
        "stem = StemmerFactory().create_stemmer()\n",
        "stopword = StopWordRemoverFactory().create_stop_word_remover()"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "Dd7y2kj5qHK_"
      },
      "source": [
        "## Content based filtering"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 30,
      "metadata": {
        "id": "jUtbFdRQqJ0n"
      },
      "outputs": [],
      "source": [
        "def preprocessing(data):\n",
        "    data = data.lower()\n",
        "    data = stopword.remove(data)\n",
        "    return data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 31,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 635
        },
        "id": "_6FK4-LmqOBo",
        "outputId": "c81ab84d-7a48-4672-8b29-867bf63cfd04"
      },
      "outputs": [
        {
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              "      <th>6</th>\n",
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              "      <td>4.9</td>\n",
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              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Pluit Junction XXI</td>\n",
              "      <td>4.2</td>\n",
              "      <td>11192.0</td>\n",
              "      <td>Pluit Junction Mall, Jl. Pluit Raya No.1, Penj...</td>\n",
              "      <td>Kabupaten Kepulauan Seribu</td>\n",
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            "text/plain": [
              "                     name  rating  total_review  \\\n",
              "0         Taman Kebagusan     4.5         286.0   \n",
              "4              Pulau Ayer     4.6          48.0   \n",
              "6   Arka Coffee and Space     4.9         361.0   \n",
              "11     Pluit Junction XXI     4.2       11192.0   \n",
              "16             Pucanganom     NaN           NaN   \n",
              "\n",
              "                                              address  \\\n",
              "0   MRXH+H6W, Jl. Kebagusan I, RT.9/RW.7, Kebagusa...   \n",
              "4   Pulau Panggang, Kepulauan Seribu Utara, Kab. A...   \n",
              "6   Jl. Taman Sari No.1/310, Patehan, Kecamatan Kr...   \n",
              "11  Pluit Junction Mall, Jl. Pluit Raya No.1, Penj...   \n",
              "16                                               None   \n",
              "\n",
              "                          city  \\\n",
              "0         Kota Jakarta Selatan   \n",
              "4   Kabupaten Kepulauan Seribu   \n",
              "6              Kota Yogyakarta   \n",
              "11  Kabupaten Kepulauan Seribu   \n",
              "16      Kabupaten Gunung Kidul   \n",
              "\n",
              "                                             category  \\\n",
              "0   [sampah, bermain, jogging, olahraga, warga, so...   \n",
              "4                                         [snorkling]   \n",
              "6   [toko_buku, taman, standar, kerja, strategis, ...   \n",
              "11  [gym, karaoke, starbucks, nyaman, all_you_can_...   \n",
              "16  [foto, sejuk, pemandangan, tiket, selfie, lamp...   \n",
              "\n",
              "                                     general_category  \\\n",
              "0   [fasilitas, kenyamanan, olahraga, outdoor, pag...   \n",
              "4             [aktivitas_air, alam_terbuka, rekreasi]   \n",
              "6   [alam, estetik, fasilitas, indoor, lokasi, pem...   \n",
              "11  [indoor, kenyamanan, malam_hari, olahraga, out...   \n",
              "16  [estetik, foto, fotogenik, kenyamanan, pemanda...   \n",
              "\n",
              "                                                about   keyword_category  \\\n",
              "0   {\"aksesibilitas\": \"pintu masuk khusus pengguna...  ['tempat wisata']   \n",
              "4                                                  {}       ['kegiatan']   \n",
              "6   {\"opsi_layanan\": \"tempat duduk di area terbuka...       ['kegiatan']   \n",
              "11  {\"aksesibilitas\": \"pintu masuk khusus pengguna...       ['kegiatan']   \n",
              "16                                                 {}       ['kegiatan']   \n",
              "\n",
              "    latitude  longitude  general_length  \\\n",
              "0   -6.30102    106.828               9   \n",
              "4   -5.76361    106.583               3   \n",
              "6   -7.81017    110.360               8   \n",
              "11  -6.12621    106.791               6   \n",
              "16  -8.04279    110.727               8   \n",
              "\n",
              "                                          preferences  \n",
              "0   fasilitas kenyamanan olahraga outdoor pagi_har...  \n",
              "4                 aktivitas_air alam_terbuka rekreasi  \n",
              "6   alam estetik fasilitas indoor lokasi pemandang...  \n",
              "11  indoor kenyamanan malam_hari olahraga outdoor ...  \n",
              "16  estetik foto fotogenik kenyamanan pemandangan ...  "
            ]
          },
          "execution_count": 31,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "content_based_data = df_cleaned.copy()\n",
        "content_based_data.head()\n",
        "content_based_data['preferences'] = content_based_data['general_category'].apply(lambda x: ' '.join(x))\n",
        "content_based_data.head()"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "WfGzFYHAwOHr"
      },
      "source": [
        "### Data Preprocessing"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "l1liycmJyTpZ"
      },
      "source": [
        "#### Missing Values"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 32,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "ZjYI6ekswQdd",
        "outputId": "fb73f346-538b-4100-bccc-155dc443e3b3"
      },
      "outputs": [
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              "      <td>Kota Yogyakarta</td>\n",
              "      <td>[pelatihan, belajar, tim, pengalaman, skill, b...</td>\n",
              "      <td>[rumah]</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-7.79746</td>\n",
              "      <td>110.371</td>\n",
              "      <td>1</td>\n",
              "      <td>rumah</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>167</th>\n",
              "      <td>Yogyakarta</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kota Yogyakarta</td>\n",
              "      <td>[perusahaan_rintisan, wifi, pemrogram, orang, ...</td>\n",
              "      <td>[fasilitas, malam_hari, pertemuan, ramah_anak]</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-7.79558</td>\n",
              "      <td>110.369</td>\n",
              "      <td>4</td>\n",
              "      <td>fasilitas malam_hari pertemuan ramah_anak</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>229</th>\n",
              "      <td>Purwokinanti</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kota Yogyakarta</td>\n",
              "      <td>[luas, keluarga, sayur_asem, iga, sop_buntut, ...</td>\n",
              "      <td>[kenyamanan, makanan, ramah_anak, tempat_makan]</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-7.79950</td>\n",
              "      <td>110.374</td>\n",
              "      <td>4</td>\n",
              "      <td>kenyamanan makanan ramah_anak tempat_makan</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>295</th>\n",
              "      <td>Bobung</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kabupaten Gunung Kidul</td>\n",
              "      <td>[pemandangan, gunung_merapi, area, rekreasi, t...</td>\n",
              "      <td>[gunung, pemandangan, pemandangan_alam, rekrea...</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-7.86268</td>\n",
              "      <td>110.550</td>\n",
              "      <td>7</td>\n",
              "      <td>gunung pemandangan pemandangan_alam rekreasi t...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>339</th>\n",
              "      <td>Bleberan</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kabupaten Gunung Kidul</td>\n",
              "      <td>[luas, sholat, strategis, tempat_parkir, wudhu...</td>\n",
              "      <td>[fasilitas, kenyamanan, lokasi, pagi_hari, tem...</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-7.95903</td>\n",
              "      <td>110.504</td>\n",
              "      <td>5</td>\n",
              "      <td>fasilitas kenyamanan lokasi pagi_hari tempat_i...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>404</th>\n",
              "      <td>Sleman</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kabupaten Sleman</td>\n",
              "      <td>[outbond, keluarga, pedesaan, sungai, sawah, p...</td>\n",
              "      <td>[budaya, edukasi, kegiatan_rekreasi, kenyamana...</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-7.71617</td>\n",
              "      <td>110.335</td>\n",
              "      <td>13</td>\n",
              "      <td>budaya edukasi kegiatan_rekreasi kenyamanan lo...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>464</th>\n",
              "      <td>Trihanggo</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kabupaten Sleman</td>\n",
              "      <td>[tradisional, pedesaan, joglo, pisang, konsep,...</td>\n",
              "      <td>[gunung, lokasi, makanan, makanan_tradisional,...</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-7.75332</td>\n",
              "      <td>110.346</td>\n",
              "      <td>6</td>\n",
              "      <td>gunung lokasi makanan makanan_tradisional temp...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>473</th>\n",
              "      <td>Kabupaten Sleman</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kabupaten Sleman</td>\n",
              "      <td>[pelayanan, liburan, outbond, outing, profesio...</td>\n",
              "      <td>[fasilitas, pelayanan, rekreasi, tempat_bermai...</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-7.73252</td>\n",
              "      <td>110.402</td>\n",
              "      <td>5</td>\n",
              "      <td>fasilitas pelayanan rekreasi tempat_bermain te...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>493</th>\n",
              "      <td>Kec. Sleman</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kabupaten Sleman</td>\n",
              "      <td>[sayur, bibit, kebun, tanaman_hias, pelatihan,...</td>\n",
              "      <td>[alam, makanan, tempat_makan]</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-7.68960</td>\n",
              "      <td>110.345</td>\n",
              "      <td>3</td>\n",
              "      <td>alam makanan tempat_makan</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>541</th>\n",
              "      <td>Kota Jakarta Barat</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kota Jakarta Barat</td>\n",
              "      <td>[ice_skating, central_park, ikea, matahari, un...</td>\n",
              "      <td>[outdoor]</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-6.16833</td>\n",
              "      <td>106.759</td>\n",
              "      <td>1</td>\n",
              "      <td>outdoor</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>579</th>\n",
              "      <td>Jakarta Barat</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kota Jakarta Barat</td>\n",
              "      <td>[hotel, arsitektur, cafe, cagar_budaya, aparte...</td>\n",
              "      <td>[indoor, tempat_bersejarah, tempat_makan, temp...</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-6.16743</td>\n",
              "      <td>106.764</td>\n",
              "      <td>4</td>\n",
              "      <td>indoor tempat_bersejarah tempat_makan tempat_n...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>585</th>\n",
              "      <td>Melikan</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kabupaten Gunung Kidul</td>\n",
              "      <td>[foto, sejuk, pemandangan, tiket, selfie, lamp...</td>\n",
              "      <td>[estetik, foto, fotogenik, kenyamanan, pemanda...</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-8.10973</td>\n",
              "      <td>110.778</td>\n",
              "      <td>8</td>\n",
              "      <td>estetik foto fotogenik kenyamanan pemandangan ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>633</th>\n",
              "      <td>Umbulrejo</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kabupaten Gunung Kidul</td>\n",
              "      <td>[foto, sejuk, pemandangan, tiket, selfie, lamp...</td>\n",
              "      <td>[estetik, foto, fotogenik, kenyamanan, pemanda...</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-7.92738</td>\n",
              "      <td>110.718</td>\n",
              "      <td>8</td>\n",
              "      <td>estetik foto fotogenik kenyamanan pemandangan ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>635</th>\n",
              "      <td>Kota Jakarta Timur</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kota Jakarta Timur</td>\n",
              "      <td>[luas, ibadah, sholat, motor, sejuk, alhamduli...</td>\n",
              "      <td>[fasilitas, kenyamanan, sepeda_motor, tempat_i...</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-6.24545</td>\n",
              "      <td>106.900</td>\n",
              "      <td>4</td>\n",
              "      <td>fasilitas kenyamanan sepeda_motor tempat_ibadah</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>710</th>\n",
              "      <td>Kabupaten Gunung Kidul</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kabupaten Gunung Kidul</td>\n",
              "      <td>[sunset, selfie, pinus, rindang, penjual, roma...</td>\n",
              "      <td>[gunung, outdoor, pemandangan_alam, pemandanga...</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-8.03051</td>\n",
              "      <td>110.617</td>\n",
              "      <td>6</td>\n",
              "      <td>gunung outdoor pemandangan_alam pemandangan_in...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>768</th>\n",
              "      <td>Jepitu</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kabupaten Gunung Kidul</td>\n",
              "      <td>[foto, sejuk, pemandangan, tiket, selfie, lamp...</td>\n",
              "      <td>[estetik, foto, fotogenik, kenyamanan, pemanda...</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-8.16450</td>\n",
              "      <td>110.718</td>\n",
              "      <td>8</td>\n",
              "      <td>estetik foto fotogenik kenyamanan pemandangan ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>821</th>\n",
              "      <td>Kota Tua</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kota Jakarta Barat</td>\n",
              "      <td>[perpustakaan, membaca, busway, terminal, blok...</td>\n",
              "      <td>[edukasi, outdoor]</td>\n",
              "      <td>{}</td>\n",
              "      <td>['tempat wisata']</td>\n",
              "      <td>-6.13769</td>\n",
              "      <td>106.817</td>\n",
              "      <td>2</td>\n",
              "      <td>edukasi outdoor</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>971</th>\n",
              "      <td>Jakarta Utara</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kota Jakarta Utara</td>\n",
              "      <td>[sejarah_indonesia, monas, benda, budaya_indon...</td>\n",
              "      <td>[bersejarah, outdoor]</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-6.15541</td>\n",
              "      <td>106.893</td>\n",
              "      <td>2</td>\n",
              "      <td>bersejarah outdoor</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1240</th>\n",
              "      <td>Kota Jakarta Pusat</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kota Jakarta Pusat</td>\n",
              "      <td>[lantai, billiard, pesan, sambal_matah, nasi_l...</td>\n",
              "      <td>[makanan, smoking, tempat_makan]</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-6.18647</td>\n",
              "      <td>106.830</td>\n",
              "      <td>3</td>\n",
              "      <td>makanan smoking tempat_makan</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1315</th>\n",
              "      <td>Jakarta Selatan</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kota Jakarta Selatan</td>\n",
              "      <td>[sekolah, masjid, pendidikan]</td>\n",
              "      <td>[bersejarah, tempat_ibadah, tempat_wisata]</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-6.26149</td>\n",
              "      <td>106.811</td>\n",
              "      <td>3</td>\n",
              "      <td>bersejarah tempat_ibadah tempat_wisata</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2581</th>\n",
              "      <td>Jkt Utara</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>None</td>\n",
              "      <td>Kota Jakarta Utara</td>\n",
              "      <td>[planetarium, perpustakaan, renovasi, bioskop,...</td>\n",
              "      <td>[edukasi, hemat_biaya, indoor]</td>\n",
              "      <td>{}</td>\n",
              "      <td>['kegiatan']</td>\n",
              "      <td>-6.12146</td>\n",
              "      <td>106.774</td>\n",
              "      <td>3</td>\n",
              "      <td>edukasi hemat_biaya indoor</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-f84ea78e-b8d5-441d-9ab8-9be93e877622')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-f84ea78e-b8d5-441d-9ab8-9be93e877622 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-f84ea78e-b8d5-441d-9ab8-9be93e877622');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "                                    name  rating  total_review address  \\\n",
              "16                            Pucanganom     NaN           NaN    None   \n",
              "54                            Kec. Patuk     NaN           NaN    None   \n",
              "63    Kab. Administrasi Kepulauan Seribu     NaN           NaN    None   \n",
              "161                      Kota Yogyakarta     NaN           NaN    None   \n",
              "167                           Yogyakarta     NaN           NaN    None   \n",
              "229                         Purwokinanti     NaN           NaN    None   \n",
              "295                               Bobung     NaN           NaN    None   \n",
              "339                             Bleberan     NaN           NaN    None   \n",
              "404                               Sleman     NaN           NaN    None   \n",
              "464                            Trihanggo     NaN           NaN    None   \n",
              "473                     Kabupaten Sleman     NaN           NaN    None   \n",
              "493                          Kec. Sleman     NaN           NaN    None   \n",
              "541                   Kota Jakarta Barat     NaN           NaN    None   \n",
              "579                        Jakarta Barat     NaN           NaN    None   \n",
              "585                              Melikan     NaN           NaN    None   \n",
              "633                            Umbulrejo     NaN           NaN    None   \n",
              "635                   Kota Jakarta Timur     NaN           NaN    None   \n",
              "710               Kabupaten Gunung Kidul     NaN           NaN    None   \n",
              "768                               Jepitu     NaN           NaN    None   \n",
              "821                             Kota Tua     NaN           NaN    None   \n",
              "971                        Jakarta Utara     NaN           NaN    None   \n",
              "1240                  Kota Jakarta Pusat     NaN           NaN    None   \n",
              "1315                     Jakarta Selatan     NaN           NaN    None   \n",
              "2581                           Jkt Utara     NaN           NaN    None   \n",
              "\n",
              "                            city  \\\n",
              "16        Kabupaten Gunung Kidul   \n",
              "54        Kabupaten Gunung Kidul   \n",
              "63    Kabupaten Kepulauan Seribu   \n",
              "161              Kota Yogyakarta   \n",
              "167              Kota Yogyakarta   \n",
              "229              Kota Yogyakarta   \n",
              "295       Kabupaten Gunung Kidul   \n",
              "339       Kabupaten Gunung Kidul   \n",
              "404             Kabupaten Sleman   \n",
              "464             Kabupaten Sleman   \n",
              "473             Kabupaten Sleman   \n",
              "493             Kabupaten Sleman   \n",
              "541           Kota Jakarta Barat   \n",
              "579           Kota Jakarta Barat   \n",
              "585       Kabupaten Gunung Kidul   \n",
              "633       Kabupaten Gunung Kidul   \n",
              "635           Kota Jakarta Timur   \n",
              "710       Kabupaten Gunung Kidul   \n",
              "768       Kabupaten Gunung Kidul   \n",
              "821           Kota Jakarta Barat   \n",
              "971           Kota Jakarta Utara   \n",
              "1240          Kota Jakarta Pusat   \n",
              "1315        Kota Jakarta Selatan   \n",
              "2581          Kota Jakarta Utara   \n",
              "\n",
              "                                               category  \\\n",
              "16    [foto, sejuk, pemandangan, tiket, selfie, lamp...   \n",
              "54    [pemandangan, gunung_merapi, area, rekreasi, t...   \n",
              "63    [mangrove, wisata, pemandangan, homestay, kapa...   \n",
              "161   [pelatihan, belajar, tim, pengalaman, skill, b...   \n",
              "167   [perusahaan_rintisan, wifi, pemrogram, orang, ...   \n",
              "229   [luas, keluarga, sayur_asem, iga, sop_buntut, ...   \n",
              "295   [pemandangan, gunung_merapi, area, rekreasi, t...   \n",
              "339   [luas, sholat, strategis, tempat_parkir, wudhu...   \n",
              "404   [outbond, keluarga, pedesaan, sungai, sawah, p...   \n",
              "464   [tradisional, pedesaan, joglo, pisang, konsep,...   \n",
              "473   [pelayanan, liburan, outbond, outing, profesio...   \n",
              "493   [sayur, bibit, kebun, tanaman_hias, pelatihan,...   \n",
              "541   [ice_skating, central_park, ikea, matahari, un...   \n",
              "579   [hotel, arsitektur, cafe, cagar_budaya, aparte...   \n",
              "585   [foto, sejuk, pemandangan, tiket, selfie, lamp...   \n",
              "633   [foto, sejuk, pemandangan, tiket, selfie, lamp...   \n",
              "635   [luas, ibadah, sholat, motor, sejuk, alhamduli...   \n",
              "710   [sunset, selfie, pinus, rindang, penjual, roma...   \n",
              "768   [foto, sejuk, pemandangan, tiket, selfie, lamp...   \n",
              "821   [perpustakaan, membaca, busway, terminal, blok...   \n",
              "971   [sejarah_indonesia, monas, benda, budaya_indon...   \n",
              "1240  [lantai, billiard, pesan, sambal_matah, nasi_l...   \n",
              "1315                      [sekolah, masjid, pendidikan]   \n",
              "2581  [planetarium, perpustakaan, renovasi, bioskop,...   \n",
              "\n",
              "                                       general_category about  \\\n",
              "16    [estetik, foto, fotogenik, kenyamanan, pemanda...    {}   \n",
              "54    [gunung, pemandangan, pemandangan_alam, rekrea...    {}   \n",
              "63    [kenyamanan, pemandangan, pemandangan_alam, re...    {}   \n",
              "161                                             [rumah]    {}   \n",
              "167      [fasilitas, malam_hari, pertemuan, ramah_anak]    {}   \n",
              "229     [kenyamanan, makanan, ramah_anak, tempat_makan]    {}   \n",
              "295   [gunung, pemandangan, pemandangan_alam, rekrea...    {}   \n",
              "339   [fasilitas, kenyamanan, lokasi, pagi_hari, tem...    {}   \n",
              "404   [budaya, edukasi, kegiatan_rekreasi, kenyamana...    {}   \n",
              "464   [gunung, lokasi, makanan, makanan_tradisional,...    {}   \n",
              "473   [fasilitas, pelayanan, rekreasi, tempat_bermai...    {}   \n",
              "493                       [alam, makanan, tempat_makan]    {}   \n",
              "541                                           [outdoor]    {}   \n",
              "579   [indoor, tempat_bersejarah, tempat_makan, temp...    {}   \n",
              "585   [estetik, foto, fotogenik, kenyamanan, pemanda...    {}   \n",
              "633   [estetik, foto, fotogenik, kenyamanan, pemanda...    {}   \n",
              "635   [fasilitas, kenyamanan, sepeda_motor, tempat_i...    {}   \n",
              "710   [gunung, outdoor, pemandangan_alam, pemandanga...    {}   \n",
              "768   [estetik, foto, fotogenik, kenyamanan, pemanda...    {}   \n",
              "821                                  [edukasi, outdoor]    {}   \n",
              "971                               [bersejarah, outdoor]    {}   \n",
              "1240                   [makanan, smoking, tempat_makan]    {}   \n",
              "1315         [bersejarah, tempat_ibadah, tempat_wisata]    {}   \n",
              "2581                     [edukasi, hemat_biaya, indoor]    {}   \n",
              "\n",
              "       keyword_category  latitude  longitude  general_length  \\\n",
              "16         ['kegiatan']  -8.04279    110.727               8   \n",
              "54         ['kegiatan']  -7.86945    110.520               7   \n",
              "63         ['kegiatan']  -5.73920    106.600               7   \n",
              "161        ['kegiatan']  -7.79746    110.371               1   \n",
              "167        ['kegiatan']  -7.79558    110.369               4   \n",
              "229        ['kegiatan']  -7.79950    110.374               4   \n",
              "295        ['kegiatan']  -7.86268    110.550               7   \n",
              "339        ['kegiatan']  -7.95903    110.504               5   \n",
              "404        ['kegiatan']  -7.71617    110.335              13   \n",
              "464        ['kegiatan']  -7.75332    110.346               6   \n",
              "473        ['kegiatan']  -7.73252    110.402               5   \n",
              "493        ['kegiatan']  -7.68960    110.345               3   \n",
              "541        ['kegiatan']  -6.16833    106.759               1   \n",
              "579        ['kegiatan']  -6.16743    106.764               4   \n",
              "585        ['kegiatan']  -8.10973    110.778               8   \n",
              "633        ['kegiatan']  -7.92738    110.718               8   \n",
              "635        ['kegiatan']  -6.24545    106.900               4   \n",
              "710        ['kegiatan']  -8.03051    110.617               6   \n",
              "768        ['kegiatan']  -8.16450    110.718               8   \n",
              "821   ['tempat wisata']  -6.13769    106.817               2   \n",
              "971        ['kegiatan']  -6.15541    106.893               2   \n",
              "1240       ['kegiatan']  -6.18647    106.830               3   \n",
              "1315       ['kegiatan']  -6.26149    106.811               3   \n",
              "2581       ['kegiatan']  -6.12146    106.774               3   \n",
              "\n",
              "                                            preferences  \n",
              "16    estetik foto fotogenik kenyamanan pemandangan ...  \n",
              "54    gunung pemandangan pemandangan_alam rekreasi t...  \n",
              "63    kenyamanan pemandangan pemandangan_alam relaks...  \n",
              "161                                               rumah  \n",
              "167           fasilitas malam_hari pertemuan ramah_anak  \n",
              "229          kenyamanan makanan ramah_anak tempat_makan  \n",
              "295   gunung pemandangan pemandangan_alam rekreasi t...  \n",
              "339   fasilitas kenyamanan lokasi pagi_hari tempat_i...  \n",
              "404   budaya edukasi kegiatan_rekreasi kenyamanan lo...  \n",
              "464   gunung lokasi makanan makanan_tradisional temp...  \n",
              "473   fasilitas pelayanan rekreasi tempat_bermain te...  \n",
              "493                           alam makanan tempat_makan  \n",
              "541                                             outdoor  \n",
              "579   indoor tempat_bersejarah tempat_makan tempat_n...  \n",
              "585   estetik foto fotogenik kenyamanan pemandangan ...  \n",
              "633   estetik foto fotogenik kenyamanan pemandangan ...  \n",
              "635     fasilitas kenyamanan sepeda_motor tempat_ibadah  \n",
              "710   gunung outdoor pemandangan_alam pemandangan_in...  \n",
              "768   estetik foto fotogenik kenyamanan pemandangan ...  \n",
              "821                                     edukasi outdoor  \n",
              "971                                  bersejarah outdoor  \n",
              "1240                       makanan smoking tempat_makan  \n",
              "1315             bersejarah tempat_ibadah tempat_wisata  \n",
              "2581                         edukasi hemat_biaya indoor  "
            ]
          },
          "execution_count": 32,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "content_based_data[content_based_data.address.isna()]"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "8FFLLa2Hxvhu"
      },
      "source": [
        "Data yang tidak memiliki address kebanyakan hanyalah berupa nama kecamatan, kelurahan, kota, dan sejenisnya. Jadi, tidak berguna untuk proses selanjutnya. Maka, data-data tersebut akan di-drop"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 33,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ApDtmNLZwTse",
        "outputId": "26487de6-4148-422e-861d-603f00c487d4"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "935"
            ]
          },
          "execution_count": 33,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "content_based_data.dropna(axis=0, inplace=True)\n",
        "content_based_data.shape[0]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 34,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Tolj5P1pyPZR",
        "outputId": "cff9b25a-4830-48a8-a913-6c5d2255e101"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Tidak ditemukan missing value pada dataset\n"
          ]
        }
      ],
      "source": [
        "cek_null(content_based_data)"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "LVhBp1e2zch6"
      },
      "source": [
        "### Choose Features"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 35,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "4MKStry4zcRj",
        "outputId": "93f6defd-c615-4682-b043-8621024aee83"
      },
      "outputs": [
        {
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              "      <th>name</th>\n",
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              "      <th>preferences</th>\n",
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              "                         name  rating                        city  \\\n",
              "0             Taman Kebagusan     4.5        Kota Jakarta Selatan   \n",
              "4                  Pulau Ayer     4.6  Kabupaten Kepulauan Seribu   \n",
              "6       Arka Coffee and Space     4.9             Kota Yogyakarta   \n",
              "11         Pluit Junction XXI     4.2  Kabupaten Kepulauan Seribu   \n",
              "18  Pesanggrahan Rejawinangun     4.6             Kota Yogyakarta   \n",
              "\n",
              "                                          preferences  \n",
              "0   fasilitas kenyamanan olahraga outdoor pagi_har...  \n",
              "4                 aktivitas_air alam_terbuka rekreasi  \n",
              "6   alam estetik fasilitas indoor lokasi pemandang...  \n",
              "11  indoor kenyamanan malam_hari olahraga outdoor ...  \n",
              "18                   estetik fasilitas foto fotogenik  "
            ]
          },
          "execution_count": 35,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "content_based_data.drop(['total_review','address','category','general_category','about','keyword_category','latitude','longitude','general_length'],axis=1, inplace=True)\n",
        "content_based_data.head()"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "XyXu4dRuyYAK"
      },
      "source": [
        "#### Duplicates Data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Zn_rsx6ayRHG",
        "outputId": "4fe871de-074d-4592-8d88-4937605a2256"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "1"
            ]
          },
          "execution_count": 36,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "content_based_data.duplicated().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 81
        },
        "id": "EdVjMScC0HnL",
        "outputId": "ed5a42fc-19df-4ddd-a068-7df2a8ad5ff1"
      },
      "outputs": [
        {
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              "                                           preferences  \n",
              "369  gunung outdoor pemandangan pemandangan_alam te...  \n",
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              "369  gunung outdoor pemandangan pemandangan_alam te...  "
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        "id": "oO93OyTT6hd9",
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              "      <td>Kota Yogyakarta</td>\n",
              "      <td>Pesanggrahan Rejawinangun</td>\n",
              "      <td>estetik fasilitas foto fotogenik</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-62269168-dc3e-4fd6-ab73-6b5fe562ea29')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
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              "    .colab-df-container {\n",
              "      display:flex;\n",
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              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-62269168-dc3e-4fd6-ab73-6b5fe562ea29 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-62269168-dc3e-4fd6-ab73-6b5fe562ea29');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "    id  rating                        city                       name  \\\n",
              "0    0     4.5        Kota Jakarta Selatan            Taman Kebagusan   \n",
              "4    4     4.6  Kabupaten Kepulauan Seribu                 Pulau Ayer   \n",
              "6    6     4.9             Kota Yogyakarta      Arka Coffee and Space   \n",
              "11  11     4.2  Kabupaten Kepulauan Seribu         Pluit Junction XXI   \n",
              "18  18     4.6             Kota Yogyakarta  Pesanggrahan Rejawinangun   \n",
              "\n",
              "                                          preferences  \n",
              "0   fasilitas kenyamanan olahraga outdoor pagi_har...  \n",
              "4                 aktivitas_air alam_terbuka rekreasi  \n",
              "6   alam estetik fasilitas indoor lokasi pemandang...  \n",
              "11  indoor kenyamanan malam_hari olahraga outdoor ...  \n",
              "18                   estetik fasilitas foto fotogenik  "
            ]
          },
          "execution_count": 41,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "content_based_data['id'] = content_based_data.index\n",
        "content_based_data = content_based_data[['id','rating','city','name','preferences']]\n",
        "content_based_data.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 42,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "lcgnXtHB0yw2",
        "outputId": "26e965ee-d9c2-44cb-a637-fb36852d9559"
      },
      "outputs": [
        {
          "data": {
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              "      <th>11</th>\n",
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              "      <th>18</th>\n",
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              "      <th>2917</th>\n",
              "      <td>2917</td>\n",
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              "      <th>2920</th>\n",
              "      <td>2920</td>\n",
              "      <td>4.6</td>\n",
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              "      <td>2921</td>\n",
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              "      <td>4.1</td>\n",
              "      <td>Kabupaten Kulon Progo</td>\n",
              "      <td>Pantai Congot</td>\n",
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              "    </tr>\n",
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              "<p>934 rows × 5 columns</p>\n",
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              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-9d37ae89-875a-4128-b32b-88d91e6140be');\n",
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              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "        }\n",
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              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "        id  rating                        city  \\\n",
              "0        0     4.5        Kota Jakarta Selatan   \n",
              "4        4     4.6  Kabupaten Kepulauan Seribu   \n",
              "6        6     4.9             Kota Yogyakarta   \n",
              "11      11     4.2  Kabupaten Kepulauan Seribu   \n",
              "18      18     4.6             Kota Yogyakarta   \n",
              "...    ...     ...                         ...   \n",
              "2917  2917     4.0             Kota Yogyakarta   \n",
              "2920  2920     4.6             Kota Yogyakarta   \n",
              "2921  2921     4.8             Kota Yogyakarta   \n",
              "2922  2922     4.5             Kota Yogyakarta   \n",
              "2923  2923     4.1       Kabupaten Kulon Progo   \n",
              "\n",
              "                                      name  \\\n",
              "0                          Taman Kebagusan   \n",
              "4                               Pulau Ayer   \n",
              "6                    Arka Coffee and Space   \n",
              "11                      Pluit Junction XXI   \n",
              "18               Pesanggrahan Rejawinangun   \n",
              "...                                    ...   \n",
              "2917                       Kedung Pengilon   \n",
              "2920                      Masjid Al-Ishlah   \n",
              "2921  Masjid Pangeran Diponegoro Balaikota   \n",
              "2922              Monumen Batik Yogyakarta   \n",
              "2923                         Pantai Congot   \n",
              "\n",
              "                                            preferences  \n",
              "0     fasilitas kenyamanan olahraga outdoor pagi_har...  \n",
              "4                   aktivitas_air alam_terbuka rekreasi  \n",
              "6     alam estetik fasilitas indoor lokasi pemandang...  \n",
              "11    indoor kenyamanan malam_hari olahraga outdoor ...  \n",
              "18                     estetik fasilitas foto fotogenik  \n",
              "...                                                 ...  \n",
              "2917                                fasilitas relaksasi  \n",
              "2920                                      tempat_ibadah  \n",
              "2921   bersejarah fasilitas tempat_ibadah tempat_wisata  \n",
              "2922        estetik foto fotogenik malam_hari relaksasi  \n",
              "2923                        kebersihan pantai relaksasi  \n",
              "\n",
              "[934 rows x 5 columns]"
            ]
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "content_based_data.preferences = content_based_data.preferences.apply(preprocessing)\n",
        "content_based_data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 43,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sPQYFrlw1fKk",
        "outputId": "82a16cf2-c7dc-4bcd-80ba-387f9bcb9421"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([[0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
              "        0.        ],\n",
              "       [0.64888113, 0.        , 0.68771786, ..., 0.        , 0.        ,\n",
              "        0.        ],\n",
              "       [0.        , 0.38916518, 0.        , ..., 0.        , 0.        ,\n",
              "        0.        ],\n",
              "       ...,\n",
              "       [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
              "        0.        ],\n",
              "       [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
              "        0.        ],\n",
              "       [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
              "        0.        ]])"
            ]
          },
          "execution_count": 43,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "vectors = tv.fit_transform(content_based_data.preferences).toarray()\n",
        "vectors"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pUa-bwAa4_s2",
        "outputId": "97dd9ed1-22bb-4e77-ae39-684be237c427"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Kota Yogyakarta               155\n",
              "Kabupaten Gunung Kidul        124\n",
              "Kabupaten Sleman              120\n",
              "Kabupaten Bantul               91\n",
              "Kota Jakarta Timur             83\n",
              "Kota Jakarta Barat             80\n",
              "Kabupaten Kulon Progo          79\n",
              "Kota Jakarta Pusat             62\n",
              "Kota Jakarta Selatan           59\n",
              "Kabupaten Kepulauan Seribu     45\n",
              "Kota Jakarta Utara             36\n",
              "Name: city, dtype: int64"
            ]
          },
          "execution_count": 44,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "content_based_data.city.value_counts()"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "Iaw3pJVPJ08P"
      },
      "source": [
        "# Modelling"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0d9ULHA_mJWe",
        "outputId": "fae62855-8a21-4235-e4ba-aa1317cf82cd"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "Index(['id', 'rating', 'city', 'name', 'preferences'], dtype='object')"
            ]
          },
          "execution_count": 45,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "content_based_data.columns"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 46,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "9XFi-LNhmQ6v",
        "outputId": "6a34f25b-ba94-4828-f5ab-ff9f0c101280"
      },
      "outputs": [
        {
          "data": {
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>rating</th>\n",
              "      <th>city</th>\n",
              "      <th>name</th>\n",
              "      <th>preferences</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>4.5</td>\n",
              "      <td>Kota Jakarta Selatan</td>\n",
              "      <td>Taman Kebagusan</td>\n",
              "      <td>fasilitas kenyamanan olahraga outdoor pagi_har...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4.6</td>\n",
              "      <td>Kabupaten Kepulauan Seribu</td>\n",
              "      <td>Pulau Ayer</td>\n",
              "      <td>aktivitas_air alam_terbuka rekreasi</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>4.9</td>\n",
              "      <td>Kota Yogyakarta</td>\n",
              "      <td>Arka Coffee and Space</td>\n",
              "      <td>alam estetik fasilitas indoor lokasi pemandang...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>4.2</td>\n",
              "      <td>Kabupaten Kepulauan Seribu</td>\n",
              "      <td>Pluit Junction XXI</td>\n",
              "      <td>indoor kenyamanan malam_hari olahraga outdoor ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>4.6</td>\n",
              "      <td>Kota Yogyakarta</td>\n",
              "      <td>Pesanggrahan Rejawinangun</td>\n",
              "      <td>estetik fasilitas foto fotogenik</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e02148b8-aa87-4ea8-a0de-a91275cbd9df')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-e02148b8-aa87-4ea8-a0de-a91275cbd9df button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-e02148b8-aa87-4ea8-a0de-a91275cbd9df');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ],
            "text/plain": [
              "    rating                        city                       name  \\\n",
              "0      4.5        Kota Jakarta Selatan            Taman Kebagusan   \n",
              "4      4.6  Kabupaten Kepulauan Seribu                 Pulau Ayer   \n",
              "6      4.9             Kota Yogyakarta      Arka Coffee and Space   \n",
              "11     4.2  Kabupaten Kepulauan Seribu         Pluit Junction XXI   \n",
              "18     4.6             Kota Yogyakarta  Pesanggrahan Rejawinangun   \n",
              "\n",
              "                                          preferences  \n",
              "0   fasilitas kenyamanan olahraga outdoor pagi_har...  \n",
              "4                 aktivitas_air alam_terbuka rekreasi  \n",
              "6   alam estetik fasilitas indoor lokasi pemandang...  \n",
              "11  indoor kenyamanan malam_hari olahraga outdoor ...  \n",
              "18                   estetik fasilitas foto fotogenik  "
            ]
          },
          "execution_count": 46,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "temp = content_based_data.copy()\n",
        "temp.drop(['id'],axis=1,inplace=True)\n",
        "temp.head()"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "qg4SsrDgn4SB"
      },
      "source": [
        "### Split X y"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 47,
      "metadata": {
        "id": "668Es1oqptz4"
      },
      "outputs": [],
      "source": [
        "x = temp.drop(['rating'],axis=1)\n",
        "y = temp['rating']"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 48,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "epdFkZYKsCqK",
        "outputId": "cf59ba9a-9d57-4bf6-cade-2cdb619c7532"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array([[0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
              "        0.        ],\n",
              "       [0.64888113, 0.        , 0.68771786, ..., 0.        , 0.        ,\n",
              "        0.        ],\n",
              "       [0.        , 0.38916518, 0.        , ..., 0.        , 0.        ,\n",
              "        0.        ],\n",
              "       ...,\n",
              "       [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
              "        0.        ],\n",
              "       [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
              "        0.        ],\n",
              "       [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
              "        0.        ]])"
            ]
          },
          "execution_count": 48,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "x = tv.fit_transform(x.preferences).toarray()\n",
        "x"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "nCkNOO1EqWx4"
      },
      "source": [
        "### Preprocessing Data"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 49,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WOyvlCFKmZ-w",
        "outputId": "d6127e10-abb3-42e1-f01e-6f568e2241db"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "61"
            ]
          },
          "execution_count": 49,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "num_item_features = x.shape[1]\n",
        "num_item_features"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "cYNXfh20qTCo"
      },
      "source": [
        "## Split train test"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 50,
      "metadata": {
        "id": "wPRuYJRvnmjf"
      },
      "outputs": [],
      "source": [
        "train_indices = int(0.9 * temp.shape[0])\n",
        "x_train, x_val, y_train, y_val = (\n",
        "    x[:train_indices],\n",
        "    x[train_indices:],\n",
        "    y[:train_indices],\n",
        "    y[train_indices:],\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 51,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hNOOIFE6m2z6",
        "outputId": "e44553f2-1bc3-4196-ca22-ef544d2d967e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Model: \"model\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " input_1 (InputLayer)        [(None, 61)]              0         \n",
            "                                                                 \n",
            " sequential (Sequential)     (None, 61)                56637     \n",
            "                                                                 \n",
            " tf.math.l2_normalize (TFOpL  (None, 61)               0         \n",
            " ambda)                                                          \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 56,637\n",
            "Trainable params: 56,637\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "num_outputs = x.shape[1]\n",
        "tf.random.set_seed(1)\n",
        "item_NN = tf.keras.models.Sequential([\n",
        "    tf.keras.layers.Dense(units=256, activation='relu'),\n",
        "    tf.keras.layers.Dense(units=128, activation='relu'),\n",
        "    tf.keras.layers.Dense(units=num_outputs, activation='linear')\n",
        "])\n",
        "\n",
        "# create the item input and point to the base network\n",
        "input_item = tf.keras.layers.Input(shape=(num_item_features))\n",
        "vm = item_NN(input_item)\n",
        "vm = tf.linalg.l2_normalize(vm, axis=1)\n",
        "\n",
        "# compute the dot product of the two vectors vm\n",
        "output = vm\n",
        "\n",
        "# specify the inputs and output of the model\n",
        "model = tf.keras.Model([input_item], output)\n",
        "\n",
        "model.summary()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "metadata": {
        "id": "waX-0gly9uIH"
      },
      "outputs": [],
      "source": [
        "tf.random.set_seed(1)\n",
        "cost_fn = tf.keras.losses.MeanSquaredError()\n",
        "opt = keras.optimizers.Adam(learning_rate=0.01)\n",
        "model.compile(optimizer=opt,\n",
        "              loss=cost_fn)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 53,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "O9NVZruV9x8G",
        "outputId": "2bf525cb-f39f-4df7-9b19-30ab8a307cb9"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/30\n",
            "27/27 [==============================] - 1s 5ms/step - loss: 19.2697\n",
            "Epoch 2/30\n",
            "27/27 [==============================] - 0s 5ms/step - loss: 19.2120\n",
            "Epoch 3/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 4/30\n",
            "27/27 [==============================] - 0s 5ms/step - loss: 19.2118\n",
            "Epoch 5/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 6/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 7/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 8/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 9/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 10/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 11/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 12/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 13/30\n",
            "27/27 [==============================] - 0s 5ms/step - loss: 19.2118\n",
            "Epoch 14/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 15/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 16/30\n",
            "27/27 [==============================] - 0s 5ms/step - loss: 19.2118\n",
            "Epoch 17/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 18/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 19/30\n",
            "27/27 [==============================] - 0s 5ms/step - loss: 19.2118\n",
            "Epoch 20/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 21/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 22/30\n",
            "27/27 [==============================] - 0s 5ms/step - loss: 19.2118\n",
            "Epoch 23/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 24/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 25/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 26/30\n",
            "27/27 [==============================] - 0s 5ms/step - loss: 19.2118\n",
            "Epoch 27/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 28/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 29/30\n",
            "27/27 [==============================] - 0s 4ms/step - loss: 19.2118\n",
            "Epoch 30/30\n",
            "27/27 [==============================] - 0s 5ms/step - loss: 19.2118\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "<keras.callbacks.History at 0x7fc29c697c70>"
            ]
          },
          "execution_count": 53,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "tf.random.set_seed(1)\n",
        "model.fit([x_train], y_train, epochs=30)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 54,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XQkEOiNV99G9",
        "outputId": "5f888022-677b-4b7f-ad2b-df0e6de16291"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "3/3 [==============================] - 0s 5ms/step - loss: 18.5839\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "18.583932876586914"
            ]
          },
          "execution_count": 54,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "model.evaluate([x_val], y_val)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 55,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ayNeeYjcl-eg",
        "outputId": "655b040a-d72b-46a4-90eb-93844b12c3c4"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Model: \"model_1\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " input_preferences (InputLay  [(None, 61)]             0         \n",
            " er)                                                             \n",
            "                                                                 \n",
            " sequential (Sequential)     (None, 61)                56637     \n",
            "                                                                 \n",
            " tf.math.l2_normalize_1 (TFO  (None, 61)               0         \n",
            " pLambda)                                                        \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 56,637\n",
            "Trainable params: 56,637\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "input_preferences = tf.keras.layers.Input(shape=(num_item_features),name='input_preferences')\n",
        "\n",
        "vm_m = item_NN(input_preferences)\n",
        "vm_m = tf.linalg.l2_normalize(vm_m, axis=1)\n",
        "\n",
        "model_m = tf.keras.Model(input_preferences,vm_m)\n",
        "model_m.summary()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 56,
      "metadata": {
        "id": "bs78fLxTFbYG"
      },
      "outputs": [],
      "source": [
        "model_m.compile(\n",
        "    loss=tf.keras.losses.BinaryCrossentropy(),\n",
        "    optimizer=keras.optimizers.Adam(learning_rate=0.001),\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 57,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rT9AfD04Pgez",
        "outputId": "d95864c9-5568-46bf-ba6e-f2546eddcee3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/30\n",
            "14/14 [==============================] - 1s 21ms/step - loss: 8.7819 - val_loss: 8.6435\n",
            "Epoch 2/30\n",
            "14/14 [==============================] - 0s 7ms/step - loss: 8.7819 - val_loss: 8.6434\n",
            "Epoch 3/30\n",
            "14/14 [==============================] - 0s 7ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 4/30\n",
            "14/14 [==============================] - 0s 6ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 5/30\n",
            "14/14 [==============================] - 0s 8ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 6/30\n",
            "14/14 [==============================] - 0s 7ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 7/30\n",
            "14/14 [==============================] - 0s 6ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 8/30\n",
            "14/14 [==============================] - 0s 7ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 9/30\n",
            "14/14 [==============================] - 0s 6ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 10/30\n",
            "14/14 [==============================] - 0s 7ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 11/30\n",
            "14/14 [==============================] - 0s 8ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 12/30\n",
            "14/14 [==============================] - 0s 6ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 13/30\n",
            "14/14 [==============================] - 0s 7ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 14/30\n",
            "14/14 [==============================] - 0s 8ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 15/30\n",
            "14/14 [==============================] - 0s 6ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 16/30\n",
            "14/14 [==============================] - 0s 8ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 17/30\n",
            "14/14 [==============================] - 0s 12ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 18/30\n",
            "14/14 [==============================] - 0s 10ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 19/30\n",
            "14/14 [==============================] - 0s 7ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 20/30\n",
            "14/14 [==============================] - 0s 8ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 21/30\n",
            "14/14 [==============================] - 0s 6ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 22/30\n",
            "14/14 [==============================] - 0s 7ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 23/30\n",
            "14/14 [==============================] - 0s 6ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 24/30\n",
            "14/14 [==============================] - 0s 6ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 25/30\n",
            "14/14 [==============================] - 0s 7ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 26/30\n",
            "14/14 [==============================] - 0s 7ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 27/30\n",
            "14/14 [==============================] - 0s 7ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 28/30\n",
            "14/14 [==============================] - 0s 6ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 29/30\n",
            "14/14 [==============================] - 0s 8ms/step - loss: 8.7818 - val_loss: 8.6434\n",
            "Epoch 30/30\n",
            "14/14 [==============================] - 0s 6ms/step - loss: 8.7818 - val_loss: 8.6434\n"
          ]
        }
      ],
      "source": [
        "history = model_m.fit(\n",
        "    x=x_train,\n",
        "    y=y_train,\n",
        "    batch_size=64,\n",
        "    epochs=30,\n",
        "    verbose=1,\n",
        "    validation_data=(x_val,y_val),\n",
        ")"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "8zB3nI2qFnMy"
      },
      "source": [
        "## Plot training and validation loss"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 58,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "-zzwPEEzFor2",
        "outputId": "8e6f350c-b5a6-42ce-ec11-6c3a4d439f43"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "plt.plot(history.history[\"loss\"])\n",
        "plt.plot(history.history[\"val_loss\"])\n",
        "plt.title(\"model loss\")\n",
        "plt.ylabel(\"loss\")\n",
        "plt.xlabel(\"epoch\")\n",
        "plt.legend([\"train\", \"test\"], loc=\"upper left\")\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 59,
      "metadata": {
        "id": "XNinr5Yjp_5M"
      },
      "outputs": [],
      "source": [
        "from sklearn.preprocessing import StandardScaler\n",
        "scaler = StandardScaler()\n",
        "x_train = scaler.fit_transform(x_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 60,
      "metadata": {
        "id": "nWBY-uGStAUv"
      },
      "outputs": [],
      "source": [
        "user_preferences = ['estetik', 'outdoor']\n",
        "str_user_preferences = ' '.join(user_preferences)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 61,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z_H_ZpG5tIvQ",
        "outputId": "02ad9059-aabb-4897-ac72-4f957951eced"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "(1, 61)"
            ]
          },
          "execution_count": 61,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "user_vector = tv.transform([str_user_preferences]).toarray()\n",
        "user_vector.shape"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 62,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cQsbvYKIl_3g",
        "outputId": "27cf45cb-f5d5-416a-a2a2-09102f50889f"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1/1 [==============================] - 0s 101ms/step\n"
          ]
        }
      ],
      "source": [
        "import numpy as np\n",
        "\n",
        "city = 'Kota Yogyakarta'\n",
        "scaled_item_vecs = scaler.transform(user_vector)\n",
        "\n",
        "input_data = {\n",
        "    \"city\": np.array([city]),\n",
        "    \"input_preferences\": scaled_item_vecs\n",
        "}\n",
        "vms = model_m.predict(scaled_item_vecs)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 63,
      "metadata": {
        "id": "oU-fLmm602pJ"
      },
      "outputs": [],
      "source": [
        "similarities = cosine_similarity(x_train, vms)\n",
        "sorted_indices = np.argsort(similarities,axis=0)[::-1]\n",
        "\n",
        "# Retrieve top-k similar places\n",
        "top_k = 10\n",
        "top_similar_places = []\n",
        "cnt = 0\n",
        "\n",
        "for index in sorted_indices:\n",
        "  if cnt > top_k:\n",
        "    break\n",
        "\n",
        "  place = content_based_data.iloc[index]\n",
        "  if place.city.values == city:\n",
        "    top_similar_places.append(place)\n",
        "    cnt+=1\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 64,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8E-Y8L-30-iU",
        "outputId": "d251aefd-b784-43b3-f93d-5375fc78adb4"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "[        id  rating             city                name  \\\n",
              " 2051  2051     4.3  Kota Yogyakarta  Desa Wisata Grogol   \n",
              " \n",
              "                                             preferences  \n",
              " 2051  budaya edukasi kegiatan_rekreasi kenyamanan lo...  ,\n",
              "         id  rating             city                name  \\\n",
              " 2466  2466     4.5  Kota Yogyakarta  Menoreh Sky Bridge   \n",
              " \n",
              "                                             preferences  \n",
              " 2466  alam estetik fasilitas foto fotogenik outdoor ...  ,\n",
              "         id  rating             city          name  \\\n",
              " 1557  1557     4.5  Kota Yogyakarta  Bukit Tompak   \n",
              " \n",
              "                                             preferences  \n",
              " 1557  estetik fasilitas foto fotogenik outdoor pagi_...  ,\n",
              "       id  rating             city         name  \\\n",
              " 174  174     4.1  Kota Yogyakarta  Puncak Bucu   \n",
              " \n",
              "                                            preferences  \n",
              " 174  estetik fasilitas foto fotogenik gunung outdoo...  ,\n",
              "         id  rating             city          name  \\\n",
              " 1600  1600     4.5  Kota Yogyakarta  Pasar Ngasem   \n",
              " \n",
              "                                             preferences  \n",
              " 1600  alam budaya estetik kuliner makanan pemandanga...  ,\n",
              "       id  rating             city                name  \\\n",
              " 613  613     4.3  Kota Yogyakarta  Bukit Mojo Gumelem   \n",
              " \n",
              "                                            preferences  \n",
              " 613  estetik fasilitas foto fotogenik pagi_hari pem...  ,\n",
              "       id  rating             city  \\\n",
              " 715  715     4.4  Kota Yogyakarta   \n",
              " \n",
              "                                                name  \\\n",
              " 715  Taman Puspa Gading Tegaldowo Bantul Yogyakarta   \n",
              " \n",
              "                                            preferences  \n",
              " 715  estetik foto fotogenik kegiatan_rekreasi outdo...  ,\n",
              "         id  rating             city         name  \\\n",
              " 2339  2339     4.4  Kota Yogyakarta  Lava Bantal   \n",
              " \n",
              "                                             preferences  \n",
              " 2339  estetik foto fotogenik kebersihan outdoor pema...  ,\n",
              "         id  rating             city                name  \\\n",
              " 2468  2468     4.6  Kota Yogyakarta  Taman Kearifan UGM   \n",
              " \n",
              "                                             preferences  \n",
              " 2468  bersejarah kenyamanan malam_hari olahraga outd...  ,\n",
              "         id  rating             city           name  \\\n",
              " 1955  1955     4.4  Kota Yogyakarta  Puncak Gebang   \n",
              " \n",
              "                                             preferences  \n",
              " 1955  estetik foto fotogenik hemat_biaya malam_hari ...  ,\n",
              "       id  rating             city                     name  \\\n",
              " 296  296     4.4  Kota Yogyakarta  Skybar Ibis Style Hotel   \n",
              " \n",
              "                                            preferences  \n",
              " 296  hiburan malam_hari musik outdoor pemandangan_a...  ]"
            ]
          },
          "execution_count": 64,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "top_similar_places"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 65,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hY5tednH1OJo",
        "outputId": "f865819a-4280-47dc-9275-07c0b8a8e99d"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "array(['estetik fasilitas foto fotogenik outdoor pagi_hari pemandangan pemandangan_alam relaksasi tempat_bermain tempat_wisata'],\n",
              "      dtype=object)"
            ]
          },
          "execution_count": 65,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "top_similar_places[2].preferences.values"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "FIFSTNDF-7Uc"
      },
      "source": [
        "## Save model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 66,
      "metadata": {
        "id": "woRBytsa-8dk"
      },
      "outputs": [],
      "source": [
        "model_m.save('destination_recommender_model.h5')"
      ]
    },
    {
      "attachments": {},
      "cell_type": "markdown",
      "metadata": {
        "id": "kuShFAJQAPpb"
      },
      "source": [
        "## Test Model"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 67,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "VRxd9XFnuV-C",
        "outputId": "152220c4-fd11-4c2e-c3e9-ba5f8b27ef3e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Model: \"model_1\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " input_preferences (InputLay  [(None, 61)]             0         \n",
            " er)                                                             \n",
            "                                                                 \n",
            " sequential (Sequential)     (None, 61)                56637     \n",
            "                                                                 \n",
            " tf.math.l2_normalize_1 (TFO  (None, 61)               0         \n",
            " pLambda)                                                        \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 56,637\n",
            "Trainable params: 56,637\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "# load model\n",
        "model = tf.keras.models.load_model('destination_recommender_model.h5')\n",
        "model.summary()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 68,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-sVb-rPljvVi",
        "outputId": "0638e1fc-7b9e-42f0-b00f-39f1a2e4af37"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "1/1 [==============================] - 0s 32ms/step\n"
          ]
        }
      ],
      "source": [
        "user_preferences = ['pantai']\n",
        "str_user_preferences = ' '.join(user_preferences)\n",
        "\n",
        "user_vector = tv.transform([str_user_preferences]).toarray()\n",
        "user_vector.shape\n",
        "\n",
        "city = 'Kota Jakarta Utara'\n",
        "scaled_item_vecs = scaler.transform(user_vector)\n",
        "\n",
        "input_data = {\n",
        "    \"city\": np.array([city]),\n",
        "    \"input_preferences\": scaled_item_vecs\n",
        "}\n",
        "vms = model_m.predict(scaled_item_vecs)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 70,
      "metadata": {
        "id": "RoFPxJN1Js6R"
      },
      "outputs": [],
      "source": [
        "dfs['id'] = dfs.index"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 71,
      "metadata": {
        "id": "WzkBbyDComws"
      },
      "outputs": [],
      "source": [
        "similarities = cosine_similarity(vectors, vms)\n",
        "sorted_indices = np.argsort(similarities,axis=0)[::-1]\n",
        "\n",
        "# Retrieve top-k similar places\n",
        "top_k = 10\n",
        "top_similar_places = []\n",
        "cnt = 0\n",
        "\n",
        "for index in sorted_indices:\n",
        "  if cnt > top_k:\n",
        "    break\n",
        "\n",
        "  place_id = content_based_data.iloc[index].id.values\n",
        "  place = dfs[dfs['id']==place_id[0]]\n",
        "  if place.city.values == city:\n",
        "    top_similar_places.append(place)\n",
        "    cnt+=1"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 72,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mwcetbuzHLQx",
        "outputId": "cb3b77e0-7487-4320-aacd-d2f635247ad5"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "                    name                                            map_url  \\\n",
            "2461  Alive Museum Ancol  https://www.google.com/maps/place/Alive+Museum...   \n",
            "\n",
            "                                                img_url  rating  total_review  \\\n",
            "2461  https://lh5.googleusercontent.com/p/AF1QipOtTn...     4.3        1191.0   \n",
            "\n",
            "                                                address                city  \\\n",
            "2461  Ancol Beach City Mall, 3rd Floor Jalan Ancol B...  Kota Jakarta Utara   \n",
            "\n",
            "                                               category  \\\n",
            "2461  {\"foto\": \"43\", \"mall\": \"27\", \"tiket\": \"22\", \"3...   \n",
            "\n",
            "                                                  about  \\\n",
            "2461  {\"description\": \"patung lilin & beberapa tempa...   \n",
            "\n",
            "                   keyword_category  latitude  longitude    id  \n",
            "2461  [\"tempat wisata\", \"kegiatan\"]  -6.11753    106.857  2461  \n",
            "                                          name  \\\n",
            "975  Beach City Jakarta (Entertainment Center)   \n",
            "\n",
            "                                               map_url  \\\n",
            "975  https://www.google.com/maps/place/Beach+City+J...   \n",
            "\n",
            "                                               img_url  rating  total_review  \\\n",
            "975  https://lh5.googleusercontent.com/p/AF1QipNaVg...     4.4       13597.0   \n",
            "\n",
            "                                               address                city  \\\n",
            "975  Jl. Pantai Karnaval Ancol Jl. Kw. Wisata Ancol...  Kota Jakarta Utara   \n",
            "\n",
            "                                              category  \\\n",
            "975  {\"pantai\": \"939\", \"mall\": \"629\", \"rekreasi\": \"...   \n",
            "\n",
            "                                                 about keyword_category  \\\n",
            "975  {\"description\": \"mal di tepi laut yang santai ...     ['kegiatan']   \n",
            "\n",
            "     latitude  longitude   id  \n",
            "975  -6.11758    106.858  975  \n",
            "                   name                                            map_url  \\\n",
            "2351  Taman Dr. Wahidin  https://www.google.com/maps/place/Taman+Dr.+Wa...   \n",
            "\n",
            "                                                img_url  rating  total_review  \\\n",
            "2351  https://lh5.googleusercontent.com/p/AF1QipNf_S...     4.4         286.0   \n",
            "\n",
            "                                                address                city  \\\n",
            "2351  RRMQ+3M3, Jl. Dr. Wahidin I, Ps. Baru, Kecamat...  Kota Jakarta Utara   \n",
            "\n",
            "                                               category  \\\n",
            "2351  {\"santai\": \"6\", \"duduk\": \"4\", \"olahraga\": \"4\",...   \n",
            "\n",
            "                                                  about   keyword_category  \\\n",
            "2351  {\"fasilitas\": \"ayunan, cocok untuk anak-anak, ...  ['tempat wisata']   \n",
            "\n",
            "      latitude  longitude    id  \n",
            "2351  -6.16736    106.839  2351  \n",
            "                     name                                            map_url  \\\n",
            "1879  Sophilia Art Center  https://www.google.com/maps/place/Sophilia+Art...   \n",
            "\n",
            "                                                img_url  rating  total_review  \\\n",
            "1879  https://lh5.googleusercontent.com/p/AF1QipP4GW...     5.0          76.0   \n",
            "\n",
            "                                                address                city  \\\n",
            "1879  Calvin Tower Lt.6-7, Jl. Industri Raya Blok B1...  Kota Jakarta Utara   \n",
            "\n",
            "                                               category  \\\n",
            "1879  {\"tiket\": \"8\", \"museum\": \"7\", \"lantai\": \"5\", \"...   \n",
            "\n",
            "                                                  about   keyword_category  \\\n",
            "1879  {\"aksesibilitas\": \"pintu masuk khusus pengguna...  ['tempat wisata']   \n",
            "\n",
            "      latitude  longitude    id  \n",
            "1879  -6.15271    106.843  1879  \n",
            "                         name  \\\n",
            "2407  Gondola Ancol Stasiun C   \n",
            "\n",
            "                                                map_url  \\\n",
            "2407  https://www.google.com/maps/place/Gondola+Anco...   \n",
            "\n",
            "                                                img_url  rating  total_review  \\\n",
            "2407  https://lh5.googleusercontent.com/p/AF1QipMx6v...     4.6        2428.0   \n",
            "\n",
            "                                                address                city  \\\n",
            "2407  No. 7, Taman Impian Jaya, Jl. Lodan Raya, RT.1...  Kota Jakarta Utara   \n",
            "\n",
            "                                               category  \\\n",
            "2407  {\"pemandangan\": \"84\", \"pantai\": \"35\", \"3d\": \"3...   \n",
            "\n",
            "                                                  about  \\\n",
            "2407  {\"aksesibilitas\": \"toilet khusus pengguna kurs...   \n",
            "\n",
            "                   keyword_category  latitude  longitude    id  \n",
            "2407  [\"tempat wisata\", \"kegiatan\"]  -6.12554    106.841  2407  \n",
            "                                      name  \\\n",
            "2519  UnionSPACE.com - Jakarta Utara (PIK)   \n",
            "\n",
            "                                                map_url  \\\n",
            "2519  https://www.google.com/maps/place/UnionSPACE.c...   \n",
            "\n",
            "                                                img_url  rating  total_review  \\\n",
            "2519  https://lh5.googleusercontent.com/p/AF1QipNhvo...     4.3        7519.0   \n",
            "\n",
            "                                                address                city  \\\n",
            "2519  PIK Avenue, Level 6, Jl. Pantai Indah Kapuk, R...  Kota Jakarta Utara   \n",
            "\n",
            "                                               category  \\\n",
            "2519  {\"mall\": \"584\", \"makanan_jepang\": \"69\", \"parki...   \n",
            "\n",
            "                                                  about keyword_category  \\\n",
            "2519  {\"aksesibilitas\": \"pintu masuk khusus pengguna...     ['kegiatan']   \n",
            "\n",
            "      latitude  longitude    id  \n",
            "2519  -6.10972     106.74  2519  \n",
            "                       name  \\\n",
            "984  Hutan Kota by Plataran   \n",
            "\n",
            "                                               map_url  \\\n",
            "984  https://www.google.com/maps/place/Hutan+Kota+b...   \n",
            "\n",
            "                                               img_url  rating  total_review  \\\n",
            "984  https://lh5.googleusercontent.com/p/AF1QipOqv9...     4.6        3856.0   \n",
            "\n",
            "                                               address                city  \\\n",
            "984  Jl. Jenderal Sudirman No.54-55, RT.1/RW.3, Gel...  Kota Jakarta Utara   \n",
            "\n",
            "                                              category  \\\n",
            "984  {\"menu\": \"127\", \"dinner\": \"79\", \"makanan_indon...   \n",
            "\n",
            "                                                 about keyword_category  \\\n",
            "984  {\"description\": \"lounge kontemporer yang menya...     ['kegiatan']   \n",
            "\n",
            "     latitude  longitude   id  \n",
            "984  -6.22232    106.807  984  \n",
            "                    name                                            map_url  \\\n",
            "2001  Taman Impian Ancol  https://www.google.com/maps/place/Taman+Impian...   \n",
            "\n",
            "                                                img_url  rating  total_review  \\\n",
            "2001  https://lh5.googleusercontent.com/p/AF1QipMXvd...     4.6        3062.0   \n",
            "\n",
            "                                                address                city  \\\n",
            "2001  VRGV+WGR, 10, RW.10, Ancol, Kec. Pademangan, J...  Kota Jakarta Utara   \n",
            "\n",
            "                                               category  \\\n",
            "2001  {\"keluarga\": \"184\", \"rekreasi\": \"93\", \"liburan...   \n",
            "\n",
            "                                                  about   keyword_category  \\\n",
            "2001  {\"description\": \"resor tepi laut dengan lapang...  ['tempat wisata']   \n",
            "\n",
            "      latitude  longitude    id  \n",
            "2001  -6.12516    106.845  2001  \n",
            "              name                                            map_url  \\\n",
            "2566  Baywalk Mall  https://www.google.com/maps/place/Baywalk+Mall...   \n",
            "\n",
            "                                                img_url  rating  total_review  \\\n",
            "2566  https://lh5.googleusercontent.com/p/AF1QipPR9U...     4.4       22474.0   \n",
            "\n",
            "                                                address                city  \\\n",
            "2566  Jl. Pluit Karang Ayu 1 No.B1, Pluit, Kec. Penj...  Kota Jakarta Utara   \n",
            "\n",
            "                                               category  \\\n",
            "2566  {\"pantai\": \"412\", \"apartemen\": \"301\", \"sinyal\"...   \n",
            "\n",
            "                                                  about keyword_category  \\\n",
            "2566  {\"description\": \"mal tepi laut dengan kebun ra...     ['kegiatan']   \n",
            "\n",
            "      latitude  longitude    id  \n",
            "2566   -6.1077    106.779  2566  \n",
            "                    name                                            map_url  \\\n",
            "2393  Ecopark Club House  https://www.google.com/maps/place/Ecopark+Club...   \n",
            "\n",
            "                                                img_url  rating  total_review  \\\n",
            "2393  https://lh5.googleusercontent.com/p/AF1QipMJh5...     4.5         208.0   \n",
            "\n",
            "                                                address                city  \\\n",
            "2393  VRGM+JV2, RW.10, Ancol, Kec. Pademangan, Jkt U...  Kota Jakarta Utara   \n",
            "\n",
            "                                               category  \\\n",
            "2393  {\"keluarga\": \"15\", \"jogging\": \"12\", \"pagi\": \"1...   \n",
            "\n",
            "                                                  about  \\\n",
            "2393  {\"aksesibilitas\": \"pintu masuk khusus pengguna...   \n",
            "\n",
            "                   keyword_category  latitude  longitude    id  \n",
            "2393  [\"tempat wisata\", \"kegiatan\"]  -6.12349    106.835  2393  \n",
            "                    name                                            map_url  \\\n",
            "950  HUTAN KOTA SUKAPURA  https://www.google.com/maps/place/HUTAN+KOTA+S...   \n",
            "\n",
            "                                               img_url  rating  total_review  \\\n",
            "950  https://lh5.googleusercontent.com/p/AF1QipOYaO...     4.3         293.0   \n",
            "\n",
            "                                               address                city  \\\n",
            "950  Gg. Masjid Al - Fajar No.32, Sukapura, Kec. Ci...  Kota Jakarta Utara   \n",
            "\n",
            "                                              category  \\\n",
            "950  {\"sejuk\": \"11\", \"jogging\": \"8\", \"sore\": \"7\", \"...   \n",
            "\n",
            "                                                 about   keyword_category  \\\n",
            "950  {\"No aksesibilitas\": \"pintu masuk khusus pengg...  ['tempat wisata']   \n",
            "\n",
            "     latitude  longitude   id  \n",
            "950  -6.15882    106.928  950  \n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "[[{'name': 'Alive Museum Ancol',\n",
              "   'map_url': 'https://www.google.com/maps/place/Alive+Museum+Ancol/data=!4m7!3m6!1s0x2e6a1e36949400b5:0xbe33342605e95e06!8m2!3d-6.1175344!4d106.857313!16s%2Fg%2F11ddykqtpd!19sChIJtQCUlDYeai4RBl7pBSY0M74?authuser=0&hl=id&rclk=1',\n",
              "   'img_url': 'https://lh5.googleusercontent.com/p/AF1QipOtTnkvyyCd-pNcztDCOfavuReD9O-JB0xCIO4e=w408-h544-k-no',\n",
              "   'rating': 4.3,\n",
              "   'total_review': 1191.0,\n",
              "   'address': 'Ancol Beach City Mall, 3rd Floor Jalan Ancol Beach City Pademangan, Ancol, Kec. Pademangan, Jkt Utara, Daerah Khusus Ibukota Jakarta 14430',\n",
              "   'city': 'Kota Jakarta Utara',\n",
              "   'category': '{\"foto\": \"43\", \"mall\": \"27\", \"tiket\": \"22\", \"3d\": \"20\", \"lilin\": \"9\", \"pantai\": \"9\", \"koleksinya\": \"8\", \"selfi\": \"7\", \"seru\": \"5\", \"hiburan\": \"5\"}',\n",
              "   'about': '{\"description\": \"patung lilin & beberapa tempat berfoto yang memberikan ilusi kepada pengunjung adalah bagian pemandangan unik.\", \"aksesibilitas\": \"pintu masuk khusus pengguna kursi roda, toilet khusus pengguna kursi roda\", \"fasilitas\": \"cocok untuk anak-anak, restoran, toilet, toilet netral gender\"}',\n",
              "   'keyword_category': '[\"tempat wisata\", \"kegiatan\"]',\n",
              "   'latitude': -6.11753,\n",
              "   'longitude': 106.857,\n",
              "   'id': 2461}],\n",
              " [{'name': 'Beach City Jakarta (Entertainment Center)',\n",
              "   'map_url': 'https://www.google.com/maps/place/Beach+City+Jakarta+%28Entertainment+Center%29/data=!4m7!3m6!1s0x2e6a1e36628db08d:0xba7edb0e26a76a16!8m2!3d-6.1175838!4d106.8577533!16s%2Fg%2F1pt_3hlwr!19sChIJjbCNYjYeai4RFmqnJg7bfro?authuser=0&hl=id&rclk=1',\n",
              "   'img_url': 'https://lh5.googleusercontent.com/p/AF1QipNaVgBzkNeG_XyrFnv9Z0EmdG2caprqWcOfesov=w408-h306-k-no',\n",
              "   'rating': 4.4,\n",
              "   'total_review': 13597.0,\n",
              "   'address': 'Jl. Pantai Karnaval Ancol Jl. Kw. Wisata Ancol, Ancol, Kec. Pademangan, Jkt Utara, Daerah Khusus Ibukota Jakarta 14430',\n",
              "   'city': 'Kota Jakarta Utara',\n",
              "   'category': '{\"pantai\": \"939\", \"mall\": \"629\", \"rekreasi\": \"199\", \"bermain\": \"96\", \"sunset\": \"84\", \"weekend\": \"64\", \"pemandangan\": \"55\", \"sampah\": \"46\", \"olahraga\": \"32\", \"romantis\": \"27\"}',\n",
              "   'about': '{\"description\": \"mal di tepi laut yang santai dengan restoran dan kafe kasual, serta museum lilin.\", \"aksesibilitas\": \"pintu masuk khusus pengguna kursi roda, tempat parkir khusus pengguna kursi roda, toilet khusus pengguna kursi roda\", \"fasilitas\": \"memiliki bar, restoran, toilet\"}',\n",
              "   'keyword_category': \"['kegiatan']\",\n",
              "   'latitude': -6.11758,\n",
              "   'longitude': 106.858,\n",
              "   'id': 975}],\n",
              " [{'name': 'Taman Dr. Wahidin',\n",
              "   'map_url': 'https://www.google.com/maps/place/Taman+Dr.+Wahidin/data=!4m7!3m6!1s0x2e69f5c85b508c1d:0xa57e5a774824889a!8m2!3d-6.1673626!4d106.8391831!16s%2Fg%2F11bc7n76cq!19sChIJHYxQW8j1aS4RmogkSHdafqU?authuser=0&hl=id&rclk=1',\n",
              "   'img_url': 'https://lh5.googleusercontent.com/p/AF1QipNf_SyLhUjnYdc_MpuqTJ7LQmd9XFuhft6kEDAi=w408-h306-k-no',\n",
              "   'rating': 4.4,\n",
              "   'total_review': 286.0,\n",
              "   'address': 'RRMQ+3M3, Jl. Dr. Wahidin I, Ps. Baru, Kecamatan Sawah Besar, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta 10710',\n",
              "   'city': 'Kota Jakarta Utara',\n",
              "   'category': '{\"santai\": \"6\", \"duduk\": \"4\", \"olahraga\": \"4\", \"pohon\": \"4\", \"pagi\": \"4\", \"soto_ayam\": \"3\", \"jogging\": \"3\", \"bermain\": \"3\", \"keluarga\": \"3\"}',\n",
              "   'about': '{\"fasilitas\": \"ayunan, cocok untuk anak-anak, perosotan\"}',\n",
              "   'keyword_category': \"['tempat wisata']\",\n",
              "   'latitude': -6.16736,\n",
              "   'longitude': 106.839,\n",
              "   'id': 2351}],\n",
              " [{'name': 'Sophilia Art Center',\n",
              "   'map_url': 'https://www.google.com/maps/place/Sophilia+Art+Center/data=!4m7!3m6!1s0x2e69f595057d68a5:0x269fe012393d4516!8m2!3d-6.152708!4d106.843026!16s%2Fg%2F1q66z_zsx!19sChIJpWh9BZX1aS4RFkU9ORLgnyY?authuser=0&hl=id&rclk=1',\n",
              "   'img_url': 'https://lh5.googleusercontent.com/p/AF1QipP4GWR5ObKlGqNhiRk7H7G3ho-M1efZ8Hu65ZCO=w408-h544-k-no',\n",
              "   'rating': 5.0,\n",
              "   'total_review': 76.0,\n",
              "   'address': 'Calvin Tower Lt.6-7, Jl. Industri Raya Blok B14 Kav.1, Kemayoran, RW.10, East Pademangan, Pademangan, North Jakarta City, Jakarta 10720',\n",
              "   'city': 'Kota Jakarta Utara',\n",
              "   'category': '{\"tiket\": \"8\", \"museum\": \"7\", \"lantai\": \"5\", \"sejarah\": \"5\", \"replika\": \"4\", \"minggu\": \"4\", \"foto\": \"4\", \"pengantar\": \"3\", \"zaman\": \"3\"}',\n",
              "   'about': '{\"aksesibilitas\": \"pintu masuk khusus pengguna kursi roda, tempat parkir khusus pengguna kursi roda\"}',\n",
              "   'keyword_category': \"['tempat wisata']\",\n",
              "   'latitude': -6.15271,\n",
              "   'longitude': 106.843,\n",
              "   'id': 1879}],\n",
              " [{'name': 'Gondola Ancol Stasiun C',\n",
              "   'map_url': 'https://www.google.com/maps/place/Gondola+Ancol+Stasiun+C/data=!4m7!3m6!1s0x2e6a1e180888459f:0x89ede5a66264ef41!8m2!3d-6.125541!4d106.8412451!16s%2Fg%2F11bzz_ryz0!19sChIJn0WICBgeai4RQe9kYqbl7Yk?authuser=0&hl=id&rclk=1',\n",
              "   'img_url': 'https://lh5.googleusercontent.com/p/AF1QipMx6vmDhjtzVAcHFD5x_frfVbhOWjzVlVXPLBCa=w408-h306-k-no',\n",
              "   'rating': 4.6,\n",
              "   'total_review': 2428.0,\n",
              "   'address': 'No. 7, Taman Impian Jaya, Jl. Lodan Raya, RT.1/RW.10, Pademangan Tim., Kec. Pademangan, Jkt Utara, Daerah Khusus Ibukota Jakarta 14430',\n",
              "   'city': 'Kota Jakarta Utara',\n",
              "   'category': '{\"pemandangan\": \"84\", \"pantai\": \"35\", \"3d\": \"31\", \"panas\": \"24\", \"seru\": \"20\", \"kereta_gantung\": \"17\", \"dufan\": \"14\", \"ketinggian\": \"14\", \"dr\": \"12\", \"keliling\": \"10\"}',\n",
              "   'about': '{\"aksesibilitas\": \"toilet khusus pengguna kursi roda\", \"fasilitas\": \"cocok untuk anak-anak, restoran, toilet\"}',\n",
              "   'keyword_category': '[\"tempat wisata\", \"kegiatan\"]',\n",
              "   'latitude': -6.12554,\n",
              "   'longitude': 106.841,\n",
              "   'id': 2407}],\n",
              " [{'name': 'UnionSPACE.com - Jakarta Utara (PIK)',\n",
              "   'map_url': 'https://www.google.com/maps/place/UnionSPACE.com+-+Jakarta+Utara+%28PIK%29/data=!4m7!3m6!1s0x2e6a1d3b39ff5f6d:0xb01ba24ba11cb7ef!8m2!3d-6.1097177!4d106.7403778!16s%2Fg%2F11byxfh8gd!19sChIJbV__OTsdai4R77ccoUuiG7A?authuser=0&hl=id&rclk=1',\n",
              "   'img_url': 'https://lh5.googleusercontent.com/p/AF1QipNhvoakiXCHFjtIkGkB9w2wYDbsb6AI7FllJ0Yz=w408-h612-k-no',\n",
              "   'rating': 4.3,\n",
              "   'total_review': 7519.0,\n",
              "   'address': 'PIK Avenue, Level 6, Jl. Pantai Indah Kapuk, RT.6/RW.2, Kamal Muara, Kec. Penjaringan, Jkt Utara, Daerah Khusus Ibukota Jakarta 14470, Indonesia',\n",
              "   'city': 'Kota Jakarta Utara',\n",
              "   'category': '{\"mall\": \"584\", \"makanan_jepang\": \"69\", \"parkiran\": \"67\", \"foodcourt\": \"64\", \"brand\": \"31\", \"cinema\": \"21\", \"makeup\": \"21\", \"supermarket\": \"11\", \"busway\": \"8\"}',\n",
              "   'about': '{\"aksesibilitas\": \"pintu masuk khusus pengguna kursi roda, tempat parkir khusus pengguna kursi roda\", \"No aksesibilitas\": \"kursi khusus pengguna kursi roda, toilet khusus pengguna kursi roda\"}',\n",
              "   'keyword_category': \"['kegiatan']\",\n",
              "   'latitude': -6.10972,\n",
              "   'longitude': 106.74,\n",
              "   'id': 2519}],\n",
              " [{'name': 'Hutan Kota by Plataran',\n",
              "   'map_url': 'https://www.google.com/maps/place/Hutan+Kota+by+Plataran/data=!4m7!3m6!1s0x2e69f1b4cbc5eab5:0x1484fba81f47e6d!8m2!3d-6.2223165!4d106.8065261!16s%2Fg%2F11j7yfpv3z!19sChIJterFy7TxaS4RbX70gbpPSAE?authuser=0&hl=id&rclk=1',\n",
              "   'img_url': 'https://lh5.googleusercontent.com/p/AF1QipOqv9pqZwCj2wvo7lIQ3iVm6jtf0AV1OK3PtY9N=w408-h272-k-no',\n",
              "   'rating': 4.6,\n",
              "   'total_review': 3856.0,\n",
              "   'address': 'Jl. Jenderal Sudirman No.54-55, RT.1/RW.3, Gelora, Kecamatan Tanah Abang, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta 10270',\n",
              "   'city': 'Kota Jakarta Utara',\n",
              "   'category': '{\"menu\": \"127\", \"dinner\": \"79\", \"makanan_indonesia\": \"69\", \"foto\": \"64\", \"pelayan\": \"64\", \"fine_dining\": \"21\", \"gbk\": \"17\", \"pencakar_langit\": \"10\", \"sop_buntut\": \"10\", \"kolam_ikan\": \"9\"}',\n",
              "   'about': '{\"description\": \"lounge kontemporer yang menyajikan masakan indonesia dan barat, espreso, dan minuman lainnya di ruang kasual.\", \"aksesibilitas\": \"kursi khusus pengguna kursi roda, pintu masuk khusus pengguna kursi roda, tempat parkir khusus pengguna kursi roda\", \"pembayaran\": \"kartu debit, kartu kredit\"}',\n",
              "   'keyword_category': \"['kegiatan']\",\n",
              "   'latitude': -6.22232,\n",
              "   'longitude': 106.807,\n",
              "   'id': 984}],\n",
              " [{'name': 'Taman Impian Ancol',\n",
              "   'map_url': 'https://www.google.com/maps/place/Taman+Impian+Ancol/data=!4m7!3m6!1s0x2e6a1e3c5483ced3:0x7374f8aeaee75bc0!8m2!3d-6.1251607!4d106.8446592!16s%2Fg%2F11c1wk3sw_!19sChIJ086DVDweai4RwFvnrq74dHM?authuser=0&hl=id&rclk=1',\n",
              "   'img_url': 'https://lh5.googleusercontent.com/p/AF1QipMXvd3xDZD5UYixclHGgM2jmiAL3EghRM730SS6=w408-h544-k-no',\n",
              "   'rating': 4.6,\n",
              "   'total_review': 3062.0,\n",
              "   'address': 'VRGV+WGR, 10, RW.10, Ancol, Kec. Pademangan, Jkt Utara, Daerah Khusus Ibukota Jakarta 14430',\n",
              "   'city': 'Kota Jakarta Utara',\n",
              "   'category': '{\"keluarga\": \"184\", \"rekreasi\": \"93\", \"liburan\": \"81\", \"tiket\": \"39\", \"bermain\": \"17\", \"dufan\": \"16\", \"sea_world\": \"12\", \"seru\": \"10\", \"edukasi\": \"10\", \"nyaman\": \"9\"}',\n",
              "   'about': '{\"description\": \"resor tepi laut dengan lapangan golf & taman hiburan, serta hotel, pertokoan & tempat makan.\", \"aksesibilitas\": \"pintu masuk khusus pengguna kursi roda, tempat parkir khusus pengguna kursi roda\", \"fasilitas\": \"cocok untuk anak-anak\"}',\n",
              "   'keyword_category': \"['tempat wisata']\",\n",
              "   'latitude': -6.12516,\n",
              "   'longitude': 106.845,\n",
              "   'id': 2001}],\n",
              " [{'name': 'Baywalk Mall',\n",
              "   'map_url': 'https://www.google.com/maps/place/Baywalk+Mall/data=!4m7!3m6!1s0x2e6a1da4559545a7:0xba8f1565cc043679!8m2!3d-6.1077048!4d106.7792065!16s%2Fg%2F1ywpnvqjq!19sChIJp0WVVaQdai4ReTYEzGUVj7o?authuser=0&hl=id&rclk=1',\n",
              "   'img_url': 'https://lh5.googleusercontent.com/p/AF1QipPR9UFZrdB43lND9ZswDwwRvKEB7qIWwWn1LNXm=w426-h240-k-no',\n",
              "   'rating': 4.4,\n",
              "   'total_review': 22474.0,\n",
              "   'address': 'Jl. Pluit Karang Ayu 1 No.B1, Pluit, Kec. Penjaringan, Jkt Utara, Daerah Khusus Ibukota Jakarta 14450, Indonesia',\n",
              "   'city': 'Kota Jakarta Utara',\n",
              "   'category': '{\"pantai\": \"412\", \"apartemen\": \"301\", \"sinyal\": \"38\", \"busway\": \"30\", \"ace_hardware\": \"24\", \"jco\": \"14\", \"romantis\": \"11\", \"kendaraan_air_pribadi\": \"9\", \"agung_podomoro_land\": \"8\", \"muara\": \"6\"}',\n",
              "   'about': '{\"description\": \"mal tepi laut dengan kebun raya, pemandangan perairan, toko waralaba, dan food court internasional.\", \"opsi_layanan\": \"belanja di toko\", \"aksesibilitas\": \"lift khusus pengguna kursi roda, pintu masuk khusus pengguna kursi roda, tempat parkir khusus pengguna kursi roda\", \"pembayaran\": \"kartu debit, pembayaran nfc dengan ponsel, kartu kredit\"}',\n",
              "   'keyword_category': \"['kegiatan']\",\n",
              "   'latitude': -6.1077,\n",
              "   'longitude': 106.779,\n",
              "   'id': 2566}],\n",
              " [{'name': 'Ecopark Club House',\n",
              "   'map_url': 'https://www.google.com/maps/place/Ecopark+Club+House/data=!4m7!3m6!1s0x2e6a1e10c67957f3:0xd89a3cf4777666b3!8m2!3d-6.1234942!4d106.8346411!16s%2Fg%2F11c72pvkkp!19sChIJ81d5xhAeai4Rs2Z2d_Q8mtg?authuser=0&hl=id&rclk=1',\n",
              "   'img_url': 'https://lh5.googleusercontent.com/p/AF1QipMJh5KieSh_J0OBuKyn13MLs5M6tlcsgNUnEIIe=w408-h306-k-no',\n",
              "   'rating': 4.5,\n",
              "   'total_review': 208.0,\n",
              "   'address': 'VRGM+JV2, RW.10, Ancol, Kec. Pademangan, Jkt Utara, Daerah Khusus Ibukota Jakarta 14430',\n",
              "   'city': 'Kota Jakarta Utara',\n",
              "   'category': '{\"keluarga\": \"15\", \"jogging\": \"12\", \"pagi\": \"10\", \"olahraga\": \"9\", \"sepeda\": \"7\", \"listrik\": \"4\", \"rental\": \"4\", \"luas\": \"4\", \"mobil_golf\": \"3\", \"lari\": \"3\"}',\n",
              "   'about': '{\"aksesibilitas\": \"pintu masuk khusus pengguna kursi roda, tempat parkir khusus pengguna kursi roda\", \"fasilitas\": \"cocok untuk anak-anak, toilet umum\"}',\n",
              "   'keyword_category': '[\"tempat wisata\", \"kegiatan\"]',\n",
              "   'latitude': -6.12349,\n",
              "   'longitude': 106.835,\n",
              "   'id': 2393}],\n",
              " [{'name': 'HUTAN KOTA SUKAPURA',\n",
              "   'map_url': 'https://www.google.com/maps/place/HUTAN+KOTA+SUKAPURA/data=!4m7!3m6!1s0x2e698ac41ce1a401:0x1175f45041615450!8m2!3d-6.1588157!4d106.9282647!16s%2Fg%2F11cn6hd0kn!19sChIJAaThHMSKaS4RUFRhQVD0dRE?authuser=0&hl=id&rclk=1',\n",
              "   'img_url': 'https://lh5.googleusercontent.com/p/AF1QipOYaO9cNuaO3I1Dc-jTsKGG1bvTzz9FSZMnrJ5q=w408-h306-k-no',\n",
              "   'rating': 4.3,\n",
              "   'total_review': 293.0,\n",
              "   'address': 'Gg. Masjid Al - Fajar No.32, Sukapura, Kec. Cilincing, Jkt Utara, Daerah Khusus Ibukota Jakarta 14140',\n",
              "   'city': 'Kota Jakarta Utara',\n",
              "   'category': '{\"sejuk\": \"11\", \"jogging\": \"8\", \"sore\": \"7\", \"bermain\": \"6\", \"olahraga\": \"6\", \"badminton\": \"5\"}',\n",
              "   'about': '{\"No aksesibilitas\": \"pintu masuk khusus pengguna kursi roda, tempat parkir khusus pengguna kursi roda\", \"fasilitas\": \"ayunan, cocok untuk anak-anak\"}',\n",
              "   'keyword_category': \"['tempat wisata']\",\n",
              "   'latitude': -6.15882,\n",
              "   'longitude': 106.928,\n",
              "   'id': 950}]]"
            ]
          },
          "execution_count": 72,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "json_list = []\n",
        "for df in top_similar_places:\n",
        "    print(df)\n",
        "    json_list.append(df.to_dict(orient='records'))\n",
        "\n",
        "json_list"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 73,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 157
        },
        "id": "N_LbJMKWHY41",
        "outputId": "efa07587-5a95-45c6-e139-c37029171937"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'[[{\"name\": \"Alive Museum Ancol\", \"map_url\": \"https://www.google.com/maps/place/Alive+Museum+Ancol/data=!4m7!3m6!1s0x2e6a1e36949400b5:0xbe33342605e95e06!8m2!3d-6.1175344!4d106.857313!16s%2Fg%2F11ddykqtpd!19sChIJtQCUlDYeai4RBl7pBSY0M74?authuser=0&hl=id&rclk=1\", \"img_url\": \"https://lh5.googleusercontent.com/p/AF1QipOtTnkvyyCd-pNcztDCOfavuReD9O-JB0xCIO4e=w408-h544-k-no\", \"rating\": 4.3, \"total_review\": 1191.0, \"address\": \"Ancol Beach City Mall, 3rd Floor Jalan Ancol Beach City Pademangan, Ancol, Kec. Pademangan, Jkt Utara, Daerah Khusus Ibukota Jakarta 14430\", \"city\": \"Kota Jakarta Utara\", \"category\": \"{\\\\\"foto\\\\\": \\\\\"43\\\\\", \\\\\"mall\\\\\": \\\\\"27\\\\\", \\\\\"tiket\\\\\": \\\\\"22\\\\\", \\\\\"3d\\\\\": \\\\\"20\\\\\", \\\\\"lilin\\\\\": \\\\\"9\\\\\", \\\\\"pantai\\\\\": \\\\\"9\\\\\", \\\\\"koleksinya\\\\\": \\\\\"8\\\\\", \\\\\"selfi\\\\\": \\\\\"7\\\\\", \\\\\"seru\\\\\": \\\\\"5\\\\\", \\\\\"hiburan\\\\\": \\\\\"5\\\\\"}\", \"about\": \"{\\\\\"description\\\\\": \\\\\"patung lilin & beberapa tempat berfoto yang memberikan ilusi kepada pengunjung adalah bagian pemandangan unik.\\\\\", \\\\\"aksesibilitas\\\\\": \\\\\"pintu masuk khusus pengguna kursi roda, toilet khusus pengguna kursi roda\\\\\", \\\\\"fasilitas\\\\\": \\\\\"cocok untuk anak-anak, restoran, toilet, toilet netral gender\\\\\"}\", \"keyword_category\": \"[\\\\\"tempat wisata\\\\\", \\\\\"kegiatan\\\\\"]\", \"latitude\": -6.11753, \"longitude\": 106.857, \"id\": 2461}], [{\"name\": \"Beach City Jakarta (Entertainment Center)\", \"map_url\": \"https://www.google.com/maps/place/Beach+City+Jakarta+%28Entertainment+Center%29/data=!4m7!3m6!1s0x2e6a1e36628db08d:0xba7edb0e26a76a16!8m2!3d-6.1175838!4d106.8577533!16s%2Fg%2F1pt_3hlwr!19sChIJjbCNYjYeai4RFmqnJg7bfro?authuser=0&hl=id&rclk=1\", \"img_url\": \"https://lh5.googleusercontent.com/p/AF1QipNaVgBzkNeG_XyrFnv9Z0EmdG2caprqWcOfesov=w408-h306-k-no\", \"rating\": 4.4, \"total_review\": 13597.0, \"address\": \"Jl. Pantai Karnaval Ancol Jl. Kw. Wisata Ancol, Ancol, Kec. Pademangan, Jkt Utara, Daerah Khusus Ibukota Jakarta 14430\", \"city\": \"Kota Jakarta Utara\", \"category\": \"{\\\\\"pantai\\\\\": \\\\\"939\\\\\", \\\\\"mall\\\\\": \\\\\"629\\\\\", \\\\\"rekreasi\\\\\": \\\\\"199\\\\\", \\\\\"bermain\\\\\": \\\\\"96\\\\\", \\\\\"sunset\\\\\": \\\\\"84\\\\\", \\\\\"weekend\\\\\": \\\\\"64\\\\\", \\\\\"pemandangan\\\\\": \\\\\"55\\\\\", \\\\\"sampah\\\\\": \\\\\"46\\\\\", \\\\\"olahraga\\\\\": \\\\\"32\\\\\", \\\\\"romantis\\\\\": \\\\\"27\\\\\"}\", \"about\": \"{\\\\\"description\\\\\": \\\\\"mal di tepi laut yang santai dengan restoran dan kafe kasual, serta museum lilin.\\\\\", \\\\\"aksesibilitas\\\\\": \\\\\"pintu masuk khusus pengguna kursi roda, tempat parkir khusus pengguna kursi roda, toilet khusus pengguna kursi roda\\\\\", \\\\\"fasilitas\\\\\": \\\\\"memiliki bar, restoran, toilet\\\\\"}\", \"keyword_category\": \"[\\'kegiatan\\']\", \"latitude\": -6.11758, \"longitude\": 106.858, \"id\": 975}], [{\"name\": \"Taman Dr. Wahidin\", \"map_url\": \"https://www.google.com/maps/place/Taman+Dr.+Wahidin/data=!4m7!3m6!1s0x2e69f5c85b508c1d:0xa57e5a774824889a!8m2!3d-6.1673626!4d106.8391831!16s%2Fg%2F11bc7n76cq!19sChIJHYxQW8j1aS4RmogkSHdafqU?authuser=0&hl=id&rclk=1\", \"img_url\": \"https://lh5.googleusercontent.com/p/AF1QipNf_SyLhUjnYdc_MpuqTJ7LQmd9XFuhft6kEDAi=w408-h306-k-no\", \"rating\": 4.4, \"total_review\": 286.0, \"address\": \"RRMQ+3M3, Jl. Dr. Wahidin I, Ps. Baru, Kecamatan Sawah Besar, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta 10710\", \"city\": \"Kota Jakarta Utara\", \"category\": \"{\\\\\"santai\\\\\": \\\\\"6\\\\\", \\\\\"duduk\\\\\": \\\\\"4\\\\\", \\\\\"olahraga\\\\\": \\\\\"4\\\\\", \\\\\"pohon\\\\\": \\\\\"4\\\\\", \\\\\"pagi\\\\\": \\\\\"4\\\\\", \\\\\"soto_ayam\\\\\": \\\\\"3\\\\\", \\\\\"jogging\\\\\": \\\\\"3\\\\\", \\\\\"bermain\\\\\": \\\\\"3\\\\\", \\\\\"keluarga\\\\\": \\\\\"3\\\\\"}\", \"about\": \"{\\\\\"fasilitas\\\\\": \\\\\"ayunan, cocok untuk anak-anak, perosotan\\\\\"}\", \"keyword_category\": \"[\\'tempat wisata\\']\", \"latitude\": -6.16736, \"longitude\": 106.839, \"id\": 2351}], [{\"name\": \"Sophilia Art Center\", \"map_url\": \"https://www.google.com/maps/place/Sophilia+Art+Center/data=!4m7!3m6!1s0x2e69f595057d68a5:0x269fe012393d4516!8m2!3d-6.152708!4d106.843026!16s%2Fg%2F1q66z_zsx!19sChIJpWh9BZX1aS4RFkU9ORLgnyY?authuser=0&hl=id&rclk=1\", \"img_url\": \"https://lh5.googleusercontent.com/p/AF1QipP4GWR5ObKlGqNhiRk7H7G3ho-M1efZ8Hu65ZCO=w408-h544-k-no\", \"rating\": 5.0, \"total_review\": 76.0, \"address\": \"Calvin Tower Lt.6-7, Jl. Industri Raya Blok B14 Kav.1, Kemayoran, RW.10, East Pademangan, Pademangan, North Jakarta City, Jakarta 10720\", \"city\": \"Kota Jakarta Utara\", \"category\": \"{\\\\\"tiket\\\\\": \\\\\"8\\\\\", \\\\\"museum\\\\\": \\\\\"7\\\\\", \\\\\"lantai\\\\\": \\\\\"5\\\\\", \\\\\"sejarah\\\\\": \\\\\"5\\\\\", \\\\\"replika\\\\\": \\\\\"4\\\\\", \\\\\"minggu\\\\\": \\\\\"4\\\\\", \\\\\"foto\\\\\": \\\\\"4\\\\\", \\\\\"pengantar\\\\\": \\\\\"3\\\\\", \\\\\"zaman\\\\\": \\\\\"3\\\\\"}\", \"about\": \"{\\\\\"aksesibilitas\\\\\": \\\\\"pintu masuk khusus pengguna kursi roda, tempat parkir khusus pengguna kursi roda\\\\\"}\", \"keyword_category\": \"[\\'tempat wisata\\']\", \"latitude\": -6.15271, \"longitude\": 106.843, \"id\": 1879}], [{\"name\": \"Gondola Ancol Stasiun C\", \"map_url\": \"https://www.google.com/maps/place/Gondola+Ancol+Stasiun+C/data=!4m7!3m6!1s0x2e6a1e180888459f:0x89ede5a66264ef41!8m2!3d-6.125541!4d106.8412451!16s%2Fg%2F11bzz_ryz0!19sChIJn0WICBgeai4RQe9kYqbl7Yk?authuser=0&hl=id&rclk=1\", \"img_url\": \"https://lh5.googleusercontent.com/p/AF1QipMx6vmDhjtzVAcHFD5x_frfVbhOWjzVlVXPLBCa=w408-h306-k-no\", \"rating\": 4.6, \"total_review\": 2428.0, \"address\": \"No. 7, Taman Impian Jaya, Jl. Lodan Raya, RT.1/RW.10, Pademangan Tim., Kec. Pademangan, Jkt Utara, Daerah Khusus Ibukota Jakarta 14430\", \"city\": \"Kota Jakarta Utara\", \"category\": \"{\\\\\"pemandangan\\\\\": \\\\\"84\\\\\", \\\\\"pantai\\\\\": \\\\\"35\\\\\", \\\\\"3d\\\\\": \\\\\"31\\\\\", \\\\\"panas\\\\\": \\\\\"24\\\\\", \\\\\"seru\\\\\": \\\\\"20\\\\\", \\\\\"kereta_gantung\\\\\": \\\\\"17\\\\\", \\\\\"dufan\\\\\": \\\\\"14\\\\\", \\\\\"ketinggian\\\\\": \\\\\"14\\\\\", \\\\\"dr\\\\\": \\\\\"12\\\\\", \\\\\"keliling\\\\\": \\\\\"10\\\\\"}\", \"about\": \"{\\\\\"aksesibilitas\\\\\": \\\\\"toilet khusus pengguna kursi roda\\\\\", \\\\\"fasilitas\\\\\": \\\\\"cocok untuk anak-anak, restoran, toilet\\\\\"}\", \"keyword_category\": \"[\\\\\"tempat wisata\\\\\", \\\\\"kegiatan\\\\\"]\", \"latitude\": -6.12554, \"longitude\": 106.841, \"id\": 2407}], [{\"name\": \"UnionSPACE.com - Jakarta Utara (PIK)\", \"map_url\": \"https://www.google.com/maps/place/UnionSPACE.com+-+Jakarta+Utara+%28PIK%29/data=!4m7!3m6!1s0x2e6a1d3b39ff5f6d:0xb01ba24ba11cb7ef!8m2!3d-6.1097177!4d106.7403778!16s%2Fg%2F11byxfh8gd!19sChIJbV__OTsdai4R77ccoUuiG7A?authuser=0&hl=id&rclk=1\", \"img_url\": \"https://lh5.googleusercontent.com/p/AF1QipNhvoakiXCHFjtIkGkB9w2wYDbsb6AI7FllJ0Yz=w408-h612-k-no\", \"rating\": 4.3, \"total_review\": 7519.0, \"address\": \"PIK Avenue, Level 6, Jl. Pantai Indah Kapuk, RT.6/RW.2, Kamal Muara, Kec. Penjaringan, Jkt Utara, Daerah Khusus Ibukota Jakarta 14470, Indonesia\", \"city\": \"Kota Jakarta Utara\", \"category\": \"{\\\\\"mall\\\\\": \\\\\"584\\\\\", \\\\\"makanan_jepang\\\\\": \\\\\"69\\\\\", \\\\\"parkiran\\\\\": \\\\\"67\\\\\", \\\\\"foodcourt\\\\\": \\\\\"64\\\\\", \\\\\"brand\\\\\": \\\\\"31\\\\\", \\\\\"cinema\\\\\": \\\\\"21\\\\\", \\\\\"makeup\\\\\": \\\\\"21\\\\\", \\\\\"supermarket\\\\\": \\\\\"11\\\\\", \\\\\"busway\\\\\": \\\\\"8\\\\\"}\", \"about\": \"{\\\\\"aksesibilitas\\\\\": \\\\\"pintu masuk khusus pengguna kursi roda, tempat parkir khusus pengguna kursi roda\\\\\", \\\\\"No aksesibilitas\\\\\": \\\\\"kursi khusus pengguna kursi roda, toilet khusus pengguna kursi roda\\\\\"}\", \"keyword_category\": \"[\\'kegiatan\\']\", \"latitude\": -6.10972, \"longitude\": 106.74, \"id\": 2519}], [{\"name\": \"Hutan Kota by Plataran\", \"map_url\": \"https://www.google.com/maps/place/Hutan+Kota+by+Plataran/data=!4m7!3m6!1s0x2e69f1b4cbc5eab5:0x1484fba81f47e6d!8m2!3d-6.2223165!4d106.8065261!16s%2Fg%2F11j7yfpv3z!19sChIJterFy7TxaS4RbX70gbpPSAE?authuser=0&hl=id&rclk=1\", \"img_url\": \"https://lh5.googleusercontent.com/p/AF1QipOqv9pqZwCj2wvo7lIQ3iVm6jtf0AV1OK3PtY9N=w408-h272-k-no\", \"rating\": 4.6, \"total_review\": 3856.0, \"address\": \"Jl. 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            ]
          },
          "execution_count": 73,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "json_data = json.dumps(json_list)\n",
        "json_data"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
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  "nbformat": 4,
  "nbformat_minor": 0
}