Swiggy Data Analysis.ipynb

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      "source": [
        "# Swiggy Data Analysis"
      ],
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      "cell_type": "markdown",
      "source": [
        "## Importing Libraries"
      ],
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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from collections import Counter"
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      "source": [
        "## Loading & Exploring Data"
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      "source": [
        "# Loading the dataset\n",
        "df = pd.read_csv('swiggy.csv')"
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      "source": [
        "#### Data Dictionary\n",
        "*  id - Every restaurant is having a unique ID\n",
        "*  name - Name of the Restaurant\n",
        "*  city - The city where the restaurant is located\n",
        "*  rating - Rating of the Restaurant\n",
        "*  rating_count - Number of People given the Rating\n",
        "*  cost - Cost for two of eating in that restaurant\n",
        "*  cuisine - Cuisines that restaurant serves\n",
        "*  lic_no - License number of that restaurant\n",
        "*  link - Restaurant link on Swiggy website\n",
        "*  address - Full address of the restaurant\n"
      ],
      "metadata": {
        "id": "K1jbmFz345pZ"
      }
    },
    {
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      "source": [
        "#### Exploring Data"
      ],
      "metadata": {
        "id": "LkiS6SOuCNYF"
      }
    },
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      "cell_type": "code",
      "source": [
        "df.head()"
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              "       id               name    city rating     rating_count   cost  \\\n",
              "0  567335     AB FOODS POINT  Abohar     --  Too Few Ratings  ₹ 200   \n",
              "1  531342  Janta Sweet House  Abohar    4.4      50+ ratings  ₹ 200   \n",
              "2  158203  theka coffee desi  Abohar    3.8     100+ ratings  ₹ 100   \n",
              "3  187912          Singh Hut  Abohar    3.7      20+ ratings  ₹ 250   \n",
              "4  543530      GRILL MASTERS  Abohar     --  Too Few Ratings  ₹ 250   \n",
              "\n",
              "                      cuisine          lic_no  \\\n",
              "0            Beverages,Pizzas  22122652000138   \n",
              "1               Sweets,Bakery  12117201000112   \n",
              "2                   Beverages  22121652000190   \n",
              "3            Fast Food,Indian  22119652000167   \n",
              "4  Italian-American,Fast Food  12122201000053   \n",
              "\n",
              "                                                link  \\\n",
              "0  https://www.swiggy.com/restaurants/ab-foods-po...   \n",
              "1  https://www.swiggy.com/restaurants/janta-sweet...   \n",
              "2  https://www.swiggy.com/restaurants/theka-coffe...   \n",
              "3  https://www.swiggy.com/restaurants/singh-hut-n...   \n",
              "4  https://www.swiggy.com/restaurants/grill-maste...   \n",
              "\n",
              "                                             address              menu  \n",
              "0  AB FOODS POINT, NEAR RISHI NARANG DENTAL CLINI...  Menu/567335.json  \n",
              "1  Janta Sweet House, Bazar No.9, Circullar Road,...  Menu/531342.json  \n",
              "2         theka coffee desi, sahtiya sadan road city  Menu/158203.json  \n",
              "3    Singh Hut, CIRCULAR ROAD NEAR NEHRU PARK ABOHAR  Menu/187912.json  \n",
              "4  GRILL MASTERS, ADA Heights, Abohar - Hanumanga...  Menu/543530.json  "
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              "      <td>567335</td>\n",
              "      <td>AB FOODS POINT</td>\n",
              "      <td>Abohar</td>\n",
              "      <td>--</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>₹ 200</td>\n",
              "      <td>Beverages,Pizzas</td>\n",
              "      <td>22122652000138</td>\n",
              "      <td>https://www.swiggy.com/restaurants/ab-foods-po...</td>\n",
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              "      <th>1</th>\n",
              "      <td>531342</td>\n",
              "      <td>Janta Sweet House</td>\n",
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              "      <td>4.4</td>\n",
              "      <td>50+ ratings</td>\n",
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              "      <td>Sweets,Bakery</td>\n",
              "      <td>12117201000112</td>\n",
              "      <td>https://www.swiggy.com/restaurants/janta-sweet...</td>\n",
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              "      <th>2</th>\n",
              "      <td>158203</td>\n",
              "      <td>theka coffee desi</td>\n",
              "      <td>Abohar</td>\n",
              "      <td>3.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>₹ 100</td>\n",
              "      <td>Beverages</td>\n",
              "      <td>22121652000190</td>\n",
              "      <td>https://www.swiggy.com/restaurants/theka-coffe...</td>\n",
              "      <td>theka coffee desi, sahtiya sadan road city</td>\n",
              "      <td>Menu/158203.json</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>187912</td>\n",
              "      <td>Singh Hut</td>\n",
              "      <td>Abohar</td>\n",
              "      <td>3.7</td>\n",
              "      <td>20+ ratings</td>\n",
              "      <td>₹ 250</td>\n",
              "      <td>Fast Food,Indian</td>\n",
              "      <td>22119652000167</td>\n",
              "      <td>https://www.swiggy.com/restaurants/singh-hut-n...</td>\n",
              "      <td>Singh Hut, CIRCULAR ROAD NEAR NEHRU PARK ABOHAR</td>\n",
              "      <td>Menu/187912.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>543530</td>\n",
              "      <td>GRILL MASTERS</td>\n",
              "      <td>Abohar</td>\n",
              "      <td>--</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>₹ 250</td>\n",
              "      <td>Italian-American,Fast Food</td>\n",
              "      <td>12122201000053</td>\n",
              "      <td>https://www.swiggy.com/restaurants/grill-maste...</td>\n",
              "      <td>GRILL MASTERS, ADA Heights, Abohar - Hanumanga...</td>\n",
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              "            id                      name      city rating     rating_count  \\\n",
              "148536  553122          The Food Delight  Yavatmal     --  Too Few Ratings   \n",
              "148537  562647  MAITRI FOODS & BEVERAGES  Yavatmal     --  Too Few Ratings   \n",
              "148538  559435           Cafe Bella Ciao  Yavatmal     --  Too Few Ratings   \n",
              "148539  418989               GRILL ZILLA  Yavatmal     --  Too Few Ratings   \n",
              "148540  447770            Lazeez kitchen  Yavatmal     --  Too Few Ratings   \n",
              "\n",
              "         cost           cuisine          lic_no  \\\n",
              "148536  ₹ 200  Fast Food,Snacks  21522053000452   \n",
              "148537  ₹ 300            Pizzas         license   \n",
              "148538  ₹ 300  Fast Food,Snacks  21522251000378   \n",
              "148539  ₹ 250       Continental  21521251000241   \n",
              "148540  ₹ 200            Pizzas  21521251000634   \n",
              "\n",
              "                                                     link  \\\n",
              "148536  https://www.swiggy.com/restaurants/the-food-de...   \n",
              "148537  https://www.swiggy.com/restaurants/maitri-food...   \n",
              "148538  https://www.swiggy.com/restaurants/cafe-bella-...   \n",
              "148539  https://www.swiggy.com/restaurants/grill-zilla...   \n",
              "148540  https://www.swiggy.com/restaurants/lazeez-kitc...   \n",
              "\n",
              "                                                  address              menu  \n",
              "148536  The Food Delight, 94MC+X35, New Singhania Naga...  Menu/553122.json  \n",
              "148537  MAITRI FOODS & BEVERAGES, POLIC MITRYA SOCIETY...  Menu/562647.json  \n",
              "148538  Cafe Bella Ciao, SHOP NO 2 NEMANI MARKET SBI S...  Menu/559435.json  \n",
              "148539  GRILL ZILLA, SHO NO 2/6, POSTEL GROUND CHOWPAT...  Menu/418989.json  \n",
              "148540  Lazeez kitchen, 94G3+2RR, Wadgaon, Yavatmal, M...  Menu/447770.json  "
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              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>name</th>\n",
              "      <th>city</th>\n",
              "      <th>rating</th>\n",
              "      <th>rating_count</th>\n",
              "      <th>cost</th>\n",
              "      <th>cuisine</th>\n",
              "      <th>lic_no</th>\n",
              "      <th>link</th>\n",
              "      <th>address</th>\n",
              "      <th>menu</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>148536</th>\n",
              "      <td>553122</td>\n",
              "      <td>The Food Delight</td>\n",
              "      <td>Yavatmal</td>\n",
              "      <td>--</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>₹ 200</td>\n",
              "      <td>Fast Food,Snacks</td>\n",
              "      <td>21522053000452</td>\n",
              "      <td>https://www.swiggy.com/restaurants/the-food-de...</td>\n",
              "      <td>The Food Delight, 94MC+X35, New Singhania Naga...</td>\n",
              "      <td>Menu/553122.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148537</th>\n",
              "      <td>562647</td>\n",
              "      <td>MAITRI FOODS &amp; BEVERAGES</td>\n",
              "      <td>Yavatmal</td>\n",
              "      <td>--</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>₹ 300</td>\n",
              "      <td>Pizzas</td>\n",
              "      <td>license</td>\n",
              "      <td>https://www.swiggy.com/restaurants/maitri-food...</td>\n",
              "      <td>MAITRI FOODS &amp; BEVERAGES, POLIC MITRYA SOCIETY...</td>\n",
              "      <td>Menu/562647.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148538</th>\n",
              "      <td>559435</td>\n",
              "      <td>Cafe Bella Ciao</td>\n",
              "      <td>Yavatmal</td>\n",
              "      <td>--</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>₹ 300</td>\n",
              "      <td>Fast Food,Snacks</td>\n",
              "      <td>21522251000378</td>\n",
              "      <td>https://www.swiggy.com/restaurants/cafe-bella-...</td>\n",
              "      <td>Cafe Bella Ciao, SHOP NO 2 NEMANI MARKET SBI S...</td>\n",
              "      <td>Menu/559435.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148539</th>\n",
              "      <td>418989</td>\n",
              "      <td>GRILL ZILLA</td>\n",
              "      <td>Yavatmal</td>\n",
              "      <td>--</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>₹ 250</td>\n",
              "      <td>Continental</td>\n",
              "      <td>21521251000241</td>\n",
              "      <td>https://www.swiggy.com/restaurants/grill-zilla...</td>\n",
              "      <td>GRILL ZILLA, SHO NO 2/6, POSTEL GROUND CHOWPAT...</td>\n",
              "      <td>Menu/418989.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>148540</th>\n",
              "      <td>447770</td>\n",
              "      <td>Lazeez kitchen</td>\n",
              "      <td>Yavatmal</td>\n",
              "      <td>--</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>₹ 200</td>\n",
              "      <td>Pizzas</td>\n",
              "      <td>21521251000634</td>\n",
              "      <td>https://www.swiggy.com/restaurants/lazeez-kitc...</td>\n",
              "      <td>Lazeez kitchen, 94G3+2RR, Wadgaon, Yavatmal, M...</td>\n",
              "      <td>Menu/447770.json</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "\n",
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              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
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              "    border-radius: 50%;\n",
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              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
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              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
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              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    60% {\n",
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              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 69313,\n        \"min\": 418989,\n        \"max\": 562647,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          562647,\n          447770,\n          559435\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"MAITRI FOODS & BEVERAGES\",\n          \"Lazeez kitchen\",\n          \"Cafe Bella Ciao\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Yavatmal\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"--\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating_count\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Too Few Ratings\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cost\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"\\u20b9 200\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cuisine\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Fast Food,Snacks\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"lic_no\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"license\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"link\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"https://www.swiggy.com/restaurants/maitri-foods-and-beverages-yavatmal-city-yavatmal-562647\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"address\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"MAITRI FOODS & BEVERAGES, POLIC MITRYA SOCIETY LOHARA ROAD YAVATMAL YAVATMAL MAHARASHTRA\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"menu\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Menu/562647.json\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y5t7fv02YoB1",
        "outputId": "286e3e78-66c5-4b18-fcd1-a5302824d061"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 148541 entries, 0 to 148540\n",
            "Data columns (total 11 columns):\n",
            " #   Column        Non-Null Count   Dtype \n",
            "---  ------        --------------   ----- \n",
            " 0   id            148541 non-null  int64 \n",
            " 1   name          148455 non-null  object\n",
            " 2   city          148541 non-null  object\n",
            " 3   rating        148455 non-null  object\n",
            " 4   rating_count  148455 non-null  object\n",
            " 5   cost          148410 non-null  object\n",
            " 6   cuisine       148442 non-null  object\n",
            " 7   lic_no        148312 non-null  object\n",
            " 8   link          148541 non-null  object\n",
            " 9   address       148455 non-null  object\n",
            " 10  menu          148541 non-null  object\n",
            "dtypes: int64(1), object(10)\n",
            "memory usage: 12.5+ MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# df.describe()"
      ],
      "metadata": {
        "id": "T5FY2SCXGRxM"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Data Preprocessing"
      ],
      "metadata": {
        "id": "AiFkY58BwrPm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ffoXtYPMYu8B",
        "outputId": "6e127b25-26d6-4208-ba1d-8bc83cc898c3"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                0\n",
              "name             86\n",
              "city              0\n",
              "rating           86\n",
              "rating_count     86\n",
              "cost            131\n",
              "cuisine          99\n",
              "lic_no          229\n",
              "link              0\n",
              "address          86\n",
              "menu              0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Removing NULL rows"
      ],
      "metadata": {
        "id": "rlc3I9eIwo_V"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df = df.dropna()"
      ],
      "metadata": {
        "id": "D5XEvfmudHMp"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.isna().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M9OmKraUdURl",
        "outputId": "905d5478-262b-412b-914c-eb1d2131ed0a"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id              0\n",
              "name            0\n",
              "city            0\n",
              "rating          0\n",
              "rating_count    0\n",
              "cost            0\n",
              "cuisine         0\n",
              "lic_no          0\n",
              "link            0\n",
              "address         0\n",
              "menu            0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Handling NULL 'rating'"
      ],
      "metadata": {
        "id": "7oGXHSBxxHbd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df[\"rating\"].replace(\"--\", np.nan, inplace = True)\n",
        "\n",
        "# Filling NULL values with unique number '-999.0'\n",
        "df[\"rating\"].fillna(-999.0, inplace = True)\n",
        "df['rating'] = df['rating'].astype(float)\n",
        "\n",
        "# Another approach - filling NULL ratings with average ratings\n",
        "# df[\"rating\"].fillna(df[\"rating\"].median(), inplace = True)"
      ],
      "metadata": {
        "id": "bCKR774G49jJ"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Handling categorical count of 'rating_count' feature"
      ],
      "metadata": {
        "id": "TVueAUW1yhh9"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# from sklearn import preprocessing"
      ],
      "metadata": {
        "id": "klmr6OWTEzAd"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# label_encoder = preprocessing.LabelEncoder()\n",
        "# df['rating_count'] = label_encoder.fit_transform(df['rating_count'])"
      ],
      "metadata": {
        "id": "WRTPtnuXeeuC"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# df.head()"
      ],
      "metadata": {
        "id": "SnqfyiNnE36o"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Handling special symbol in 'cost' feature"
      ],
      "metadata": {
        "id": "gqManVehytxS"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sample_cost = '₹ 300'\n",
        "float(sample_cost[1:])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Elsp3ZM1OWFg",
        "outputId": "75b63ffa-da4b-487c-af41-0a629c76faa5"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "300.0"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['cost'] = df['cost'].str[1:].astype(float)\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "9oSl6F1U3BIF",
        "outputId": "51e708f8-a89f-4a70-ce43-0ec0b15a5040"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       id               name    city  rating     rating_count   cost  \\\n",
              "0  567335     AB FOODS POINT  Abohar  -999.0  Too Few Ratings  200.0   \n",
              "1  531342  Janta Sweet House  Abohar     4.4      50+ ratings  200.0   \n",
              "2  158203  theka coffee desi  Abohar     3.8     100+ ratings  100.0   \n",
              "3  187912          Singh Hut  Abohar     3.7      20+ ratings  250.0   \n",
              "4  543530      GRILL MASTERS  Abohar  -999.0  Too Few Ratings  250.0   \n",
              "\n",
              "                      cuisine          lic_no  \\\n",
              "0            Beverages,Pizzas  22122652000138   \n",
              "1               Sweets,Bakery  12117201000112   \n",
              "2                   Beverages  22121652000190   \n",
              "3            Fast Food,Indian  22119652000167   \n",
              "4  Italian-American,Fast Food  12122201000053   \n",
              "\n",
              "                                                link  \\\n",
              "0  https://www.swiggy.com/restaurants/ab-foods-po...   \n",
              "1  https://www.swiggy.com/restaurants/janta-sweet...   \n",
              "2  https://www.swiggy.com/restaurants/theka-coffe...   \n",
              "3  https://www.swiggy.com/restaurants/singh-hut-n...   \n",
              "4  https://www.swiggy.com/restaurants/grill-maste...   \n",
              "\n",
              "                                             address              menu  \n",
              "0  AB FOODS POINT, NEAR RISHI NARANG DENTAL CLINI...  Menu/567335.json  \n",
              "1  Janta Sweet House, Bazar No.9, Circullar Road,...  Menu/531342.json  \n",
              "2         theka coffee desi, sahtiya sadan road city  Menu/158203.json  \n",
              "3    Singh Hut, CIRCULAR ROAD NEAR NEHRU PARK ABOHAR  Menu/187912.json  \n",
              "4  GRILL MASTERS, ADA Heights, Abohar - Hanumanga...  Menu/543530.json  "
            ],
            "text/html": [
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              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\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>city</th>\n",
              "      <th>rating</th>\n",
              "      <th>rating_count</th>\n",
              "      <th>cost</th>\n",
              "      <th>cuisine</th>\n",
              "      <th>lic_no</th>\n",
              "      <th>link</th>\n",
              "      <th>address</th>\n",
              "      <th>menu</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>567335</td>\n",
              "      <td>AB FOODS POINT</td>\n",
              "      <td>Abohar</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>200.0</td>\n",
              "      <td>Beverages,Pizzas</td>\n",
              "      <td>22122652000138</td>\n",
              "      <td>https://www.swiggy.com/restaurants/ab-foods-po...</td>\n",
              "      <td>AB FOODS POINT, NEAR RISHI NARANG DENTAL CLINI...</td>\n",
              "      <td>Menu/567335.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>531342</td>\n",
              "      <td>Janta Sweet House</td>\n",
              "      <td>Abohar</td>\n",
              "      <td>4.4</td>\n",
              "      <td>50+ ratings</td>\n",
              "      <td>200.0</td>\n",
              "      <td>Sweets,Bakery</td>\n",
              "      <td>12117201000112</td>\n",
              "      <td>https://www.swiggy.com/restaurants/janta-sweet...</td>\n",
              "      <td>Janta Sweet House, Bazar No.9, Circullar Road,...</td>\n",
              "      <td>Menu/531342.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>158203</td>\n",
              "      <td>theka coffee desi</td>\n",
              "      <td>Abohar</td>\n",
              "      <td>3.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>100.0</td>\n",
              "      <td>Beverages</td>\n",
              "      <td>22121652000190</td>\n",
              "      <td>https://www.swiggy.com/restaurants/theka-coffe...</td>\n",
              "      <td>theka coffee desi, sahtiya sadan road city</td>\n",
              "      <td>Menu/158203.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>187912</td>\n",
              "      <td>Singh Hut</td>\n",
              "      <td>Abohar</td>\n",
              "      <td>3.7</td>\n",
              "      <td>20+ ratings</td>\n",
              "      <td>250.0</td>\n",
              "      <td>Fast Food,Indian</td>\n",
              "      <td>22119652000167</td>\n",
              "      <td>https://www.swiggy.com/restaurants/singh-hut-n...</td>\n",
              "      <td>Singh Hut, CIRCULAR ROAD NEAR NEHRU PARK ABOHAR</td>\n",
              "      <td>Menu/187912.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>543530</td>\n",
              "      <td>GRILL MASTERS</td>\n",
              "      <td>Abohar</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>250.0</td>\n",
              "      <td>Italian-American,Fast Food</td>\n",
              "      <td>12122201000053</td>\n",
              "      <td>https://www.swiggy.com/restaurants/grill-maste...</td>\n",
              "      <td>GRILL MASTERS, ADA Heights, Abohar - Hanumanga...</td>\n",
              "      <td>Menu/543530.json</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\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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              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-e935b2d8-8502-49c0-add9-f61b8c068707 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-e935b2d8-8502-49c0-add9-f61b8c068707');\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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              "\n",
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              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "\n",
              "  .colab-df-spinner {\n",
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              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
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              "    60% {\n",
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              "    80% {\n",
              "      border-color: transparent;\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-fe0b47d8-5ecd-469e-9c18-fd00d531c1d2 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df"
            }
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Exploratory Analysis"
      ],
      "metadata": {
        "id": "sUuAn6pOw68x"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### How many cities does Swiggy serve?"
      ],
      "metadata": {
        "id": "BwWJwFELwIPT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.city.nunique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Mcu6oTNWZxy8",
        "outputId": "6cde9d4e-8718-452b-c9ea-8d114da4430a"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "821"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### How many restaurants are within Swiggy's purview?"
      ],
      "metadata": {
        "id": "7gV41Wd2wMdV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.name.nunique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3wR-rZZxZ-ro",
        "outputId": "a9d01a9e-ceb0-41cb-ec8e-3bfacc294c30"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "112683"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.id.nunique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Hxd4Fr7FPRBO",
        "outputId": "22e1be9e-17c8-42dc-bb3c-a0fd70e0e9c1"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "148255"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### What are the most popular food chains?"
      ],
      "metadata": {
        "id": "-XqNv6G8wUCw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.name.value_counts().head(25)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pLBTxDQXYb6q",
        "outputId": "69bc9021-d5ac-4d05-c573-a1f9e358eb17"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "name\n",
              "Domino's Pizza                                     442\n",
              "Pizza Hut                                          319\n",
              "KFC                                                309\n",
              "Kwality Walls Frozen Dessert and Ice Cream Shop    299\n",
              "Baskin Robbins                                     274\n",
              "Subway                                             227\n",
              "Faasos - Wraps & Rolls                             197\n",
              "LunchBox - Meals and Thalis                        195\n",
              "The Biryani Life                                   195\n",
              "The Good Bowl                                      194\n",
              "Oven Story Pizza                                   191\n",
              "Firangi Bake                                       191\n",
              "McDonald's                                         187\n",
              "The Belgian Waffle Co.                             186\n",
              "Behrouz Biryani                                    185\n",
              "Faasos' Signature Wraps & Rolls                    178\n",
              "NIC Natural Ice Creams                             174\n",
              "Grameen Kulfi                                      173\n",
              "Sweet Truth - Cake and Desserts                    171\n",
              "Cafe Coffee Day                                    160\n",
              "Burger King                                        149\n",
              "Pure Veg Meals by Lunchbox                         144\n",
              "Wow! Momo                                          126\n",
              "Barbeque Nation                                    125\n",
              "The Brooklyn Creamery - Healthy Ice Cream          123\n",
              "Name: count, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### What is the rating distribution?"
      ],
      "metadata": {
        "id": "tdMX792zxR4M"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.rating.value_counts()"
      ],
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        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jC2F1rpJaDf1",
        "outputId": "716f0cd2-68ff-42da-95c7-729bca588b16"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "rating\n",
              "-999.0    86912\n",
              " 4.0       6524\n",
              " 4.1       6288\n",
              " 4.2       5811\n",
              " 3.8       5728\n",
              " 3.9       5428\n",
              " 4.3       5005\n",
              " 3.7       4239\n",
              " 4.4       3145\n",
              " 3.5       2958\n",
              " 3.6       2918\n",
              " 3.4       1878\n",
              " 3.3       1796\n",
              " 4.5       1775\n",
              " 4.6       1332\n",
              " 3.2       1199\n",
              " 3.0        858\n",
              " 3.1        790\n",
              " 4.7        648\n",
              " 2.8        473\n",
              " 2.9        471\n",
              " 4.8        338\n",
              " 2.7        325\n",
              " 2.5        220\n",
              " 5.0        209\n",
              " 2.6        207\n",
              " 4.9        172\n",
              " 2.3        128\n",
              " 2.4        118\n",
              " 2.2         89\n",
              " 2.0         72\n",
              " 2.1         61\n",
              " 1.9         46\n",
              " 1.8         27\n",
              " 1.5         18\n",
              " 1.6         17\n",
              " 1.7         13\n",
              " 1.4         10\n",
              " 1.2          4\n",
              " 1.3          3\n",
              " 1.1          1\n",
              " 1.0          1\n",
              "Name: count, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.rating.value_counts().sort_index()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lySsafAGYhzU",
        "outputId": "15cabd87-c31a-49fb-c426-9102022c88a5"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "rating\n",
              "-999.0    86912\n",
              " 1.0          1\n",
              " 1.1          1\n",
              " 1.2          4\n",
              " 1.3          3\n",
              " 1.4         10\n",
              " 1.5         18\n",
              " 1.6         17\n",
              " 1.7         13\n",
              " 1.8         27\n",
              " 1.9         46\n",
              " 2.0         72\n",
              " 2.1         61\n",
              " 2.2         89\n",
              " 2.3        128\n",
              " 2.4        118\n",
              " 2.5        220\n",
              " 2.6        207\n",
              " 2.7        325\n",
              " 2.8        473\n",
              " 2.9        471\n",
              " 3.0        858\n",
              " 3.1        790\n",
              " 3.2       1199\n",
              " 3.3       1796\n",
              " 3.4       1878\n",
              " 3.5       2958\n",
              " 3.6       2918\n",
              " 3.7       4239\n",
              " 3.8       5728\n",
              " 3.9       5428\n",
              " 4.0       6524\n",
              " 4.1       6288\n",
              " 4.2       5811\n",
              " 4.3       5005\n",
              " 4.4       3145\n",
              " 4.5       1775\n",
              " 4.6       1332\n",
              " 4.7        648\n",
              " 4.8        338\n",
              " 4.9        172\n",
              " 5.0        209\n",
              "Name: count, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_df = 100 * df.rating.value_counts().sort_index()/len(df)\n",
        "ratings_df = ratings_df.reset_index()\n",
        "ratings_df.columns = ['rating', 'percentage']\n",
        "ratings_df['rating'] = ratings_df['rating'].astype(str)\n",
        "ratings_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "-mTTkxvVaO1R",
        "outputId": "a3cb0a07-0128-4418-f19b-c71755a6d8df"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   rating  percentage\n",
              "0  -999.0   58.623318\n",
              "1     1.0    0.000675\n",
              "2     1.1    0.000675\n",
              "3     1.2    0.002698\n",
              "4     1.3    0.002024"
            ],
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "ratings_df",
              "summary": "{\n  \"name\": \"ratings_df\",\n  \"rows\": 42,\n  \"fields\": [\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 42,\n        \"samples\": [\n          \"3.4\",\n          \"2.2\",\n          \"1.7\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"percentage\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 8.996953641651023,\n        \"min\": 0.0006745135071329803,\n        \"max\": 58.623317931941585,\n        \"num_unique_values\": 41,\n        \"samples\": [\n          1.2667363663957372,\n          0.08633772891302148,\n          0.01821186469259047\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_df.plot(x=\"rating\", y=\"percentage\", alpha=0.5);"
      ],
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          "height": 0
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        "id": "pfjmqVyoahSy",
        "outputId": "c953ccc0-d56e-4932-a7cf-dd162b5fb165"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_df = ratings_df.tail(-1)\n",
        "ratings_df.plot(x=\"rating\", y=\"percentage\", alpha=0.5);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "FN6MApAoyJc5",
        "outputId": "12307066-0f16-484e-9d70-36b98f8d8ecf"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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/PQ4ePDjoc3fddRdmz56N+++/HwZDcpctERFRcsX6HcpS1Lg51JKphTjT4cXhcz24YnpR0pe3kvYkFCzsdjvmzZs36HM2mw1FRUUXfZ6IiLQnHY2bA1UV5qDUYUGrK4APz3bjihlFaXldUg933iQiyhLRHTdT37g5UHSb72ivxcGzPdwwKwtMuHNnx44dSSiDiIhSra03ACHS07g5UHVJHkwGCe5AGO3uIErSNA1D6uCIBRFRlmhxpa9xcyCjQcbkglwAQGOnJ62vTenHYEFEpDPhiDKuKYV0N24ONKUoGiy4xXfmY7AgItIRlz+ELbtO4X8PnIeS4LHk6VxqOtSUwmiwONflQziipP31KX0YLIiIdORclw/BsIKGdg/eP9055ucNbNwsS1Pj5kBFNjPyLEaEFYHz3dziO5MxWBAR6UgsHADAe6c6cK7bN6bnqdW4GSNJUv90CPssMhqDBRGRjnT3bY1tNRkgBPDqwWb4QxfvejyUWo2bA01ln0VWYLAgItKR2IjFytoS5Oea0OsPY/tHLZds5mzrVa9xMybWZ9HWG4AnEFatDkotBgsiIp0QQsRHLMocVtw4vwIGWcKJVjcOnusZ9blaGLHINRvje1g0dXHUIlMxWBAR6YQ3GEEwrECSoseSlzmsuKo6ukX2zqNtaHcHhn2e2o2bA3E6JPMxWBAR6UQsHDisJhhkCQCwaEoBphXnIqwIvHKwGaFhlnKq3bg50NRCGwCgscPL7b0zFIMFEZFOxKZBCmym+OckScLqueWwWQzocAex61jbRc/TwjRITGW+FUY5ur13hyd46SeQ7jBYEBHpRGzEIj/XPOjzuWYjPjW3ApIE/P1sD4639A76eqxxs1QDZ3QYDTImFeQAABo7OR2SiRgsiIh0ois2YjEkWADRLbOXTC0EAGz/uAU9vlD8a7ERi3QdlX4psT6LRvZZZCQGCyIinejpG7EoyDUN+/UVM4tQ4bQiEFLw2qFmKIoYfFS6BkYsAGBKX5/F2S4vt/fOQAwWREQ6oCj9S03zcy4esQAAgyxhzbwKmI0yznf78d6pjkGNmzaLuo2bMcV5ZtgsBoQiAs093N470zBYEBHpQG8gjLAiYJAl2K0jBwRnrgmrLisDALx/uhP7G7sBaKNxM0aSpPhmWeyzyDwMFkREOtAdb9w0Qe5bajqS2nI75k1yQgjgRKsbgHamQWJi0yHczyLzMFgQEelArHFz6IqQkVw7qwSFtv7HaqVxMyZ2IFlrrx++4KXPOiH9YLAgItKBrks0bg5lNspYM78cRlmCUZZU33FzqDyLEcV5ZgjB6ZBMo41OHiIiGlXPJRo3h1Nqt+Jzy6YgrCiq77g5nClFNrS7g2js9KK23K52OZQkHLEgItKBrgE9FokosVtQ4cxJRUkTNrUwdm6Ih9t7ZxAGCyIijYsoAi5f9JjxAtvYRyy0blJBDgyyhF5/ON5DQvrHYEFEpHE9vhAUIWA2yrCZDWqXkzQmg4xJ+dHRlDMdHpWroWRhsCAi0riB0yCSNPpSU72JrQ5hA2fmYLAgItK4S+24qWexPouzXT5EFPZZZAIGCyIijetOcKmpnpTYLcg1GxAMK2ju8aldDiUBgwURkcYlujmWngza3pu7cGYEBgsiIo2Lj1jYMm/EAgCqeG5IRmGwICLSsFBEQa+/b6lpBo5YAMDUvgbOCy4//CFu7613DBZERBoWa9zMMRtgNWXOUtOB7FYTivq2927iqIXuMVgQEWlY/FTTnMycBomZEt+Fk8FC7xgsiIg0LJMbNweKB4tOL7f31jkGCyIiDUv0VFO9mlyQC4MsweULocfH7b31jMGCiEjD+leEZPaIhdkoo8JpBcDpEL1jsCAi0rD+qZDMHrEAgKlFNgDR6RDSLwYLIiKN8oci8AWjyy8zcTvvoWJ9Fk2dXijc3lu3GCyIiDQqttQ0z2KE2Zj5/1yX2i2wmqLbe19w+dUuh8Yp8/+kEhHp1MBTTbOBLEtcdpoBGCyIiDSqf0VI5k+DxEyNH6PuUbkSGi8GCyIijYpNhWTqGSHDiZ0bcqEnwO29dYrBgohIo2LBwpkFjZsxzhwT7FYjFCHQ4QmqXQ6NA4MFEZEGCSGyZnOsoZx925e7+w5fI31hsCAi0iBvMIJgWIEk9f+gzRZ2a/R6XX7uwKlHDBZERBoUG61wWE0wGrLrn2qH1QgA6GWw0KXs+tNKRKQT2di4GRMbsejlVIguMVgQEWlQfA+LLGrcjLH3jVi4GCx0icGCiEiDurPojJCh7JwK0TUGCyIiDerOws2xYmJTIYGQgkCYe1noDYMFEZHGCCH6eyyyMFiYjTKsJgMA9lnoEYMFEZHGuPxhhBUBgyzFpwWyTf90CIOF3jBYEBFpTPeAw8dkWVK5GnWwz0K/GCyIiDSmfyvv7GvcjHFwyaluMVgQEWlMNp5qOhRHLPSLwYKISGOyuXEzpn9bb45Y6A2DBRGRxnQN6LHIVmze1C8GCyIiDYkoAi5f9IdpgS2bRyyiwcLtD0NRhMrVUCIYLIiINKTHF4IiBMxGGTazQe1yVGMzGyFLEhQh4Aly1EJPGCyIiDQkttTUmWOCJGXnUlMAkAfs4cE+C31hsCAi0pAuNm7GcWWIPjFYEBFpSP8ZIdnbuBnD49P1icGCiEhDuuKnmnLEwsERC11isCAi0pBuLjWN44iFPjFYEBFpRCiixH+IsscCbN7UKQYLIiKNiO24aTUZkJPFS01j2LypTwwWREQawcbNwWJTIYGQgkA4onI1NFYJBYunn34adXV1cDgccDgcWLFiBV599dVU1UZElFXYuDmY2SjDaoqO3LDPQj8SChaTJ0/GI488gvr6euzbtw/XXXcdPvOZz+Dw4cOpqo+IKGt0ccTiIjwzRH8SChY333wzbrzxRtTU1GDWrFl4+OGHkZeXh/feey9V9RERZY3+FSEcsYhhn4X+GMf7xEgkgt/97nfweDxYsWLFiI8LBAIIBALxj10u13hfkogoo/Ufl84RixgHl5zqTsLNmwcPHkReXh4sFgvuuecebNu2DXPmzBnx8Zs3b4bT6Yy/VVVVTahgIqJM5A9F4A1GGxSdDBZxHLHQn4SDRW1tLQ4cOIA9e/bg61//Ou6880589NFHIz5+06ZN6Onpib81NTVNqGAiokwUG63IsxhhMXKpaUxsZQj3stCPhKdCzGYzqqurAQCLFy/G3r178ZOf/ARbtmwZ9vEWiwUWi2ViVRIRZbgu7rg5LDZv6s+E97FQFGVQDwURESWui42bw4oFC7c/DEURKldDY5HQiMWmTZuwZs0aTJkyBb29vfjNb36DHTt24PXXX09VfUREWaGHjZvDspmNkCUJihBwB8PxZk7SroSCRWtrK+644w40NzfD6XSirq4Or7/+Om644YZU1UdElBW4OdbwZFmC3WpEjy+EXj+DhR4kFCx+8YtfpKoOIqKsJYTg5lij6A8WIQA5apdDl8CzQoiIVOYNRhAMK5AkwJnDYDEUj0/XFwYLIiKVxUYr7FYTjAb+szyUg3tZ6Ar/BBMRqYw7bo6OIxb6wmBBRKSy/v4KNm4OJ7bklJtk6QODBRGRyjo90WBRaGOwGA639dYXBgsiIpV1uBksRhObCgmEFATCEZWroUthsCAiUlEoosDV9z/xojwGi+GYjTKspuj5Keyz0D4GCyIiFXV5ghACyDEbkGtO+PimrMEzQ/SDwYKISEUd7K8YE/ZZ6AeDBRGRimL9FcWcBhmVg0tOdYPBgohIRR2e6OnQhTaLypVoG0cs9IPBgohIRbGlpkWcChlVbGUI97LQPgYLIiKVhCIKenzR/4Gzx2J08U2yfByx0DoGCyIilXR5oytCrCYDcs0GtcvRtFiw8AQiUBShcjU0GgYLIiKVxBo3i/LMkCRJ5Wq0Lc9ihEGWoAgBd5DTIVrGYEFEpBL2V4ydJEnIs3AvCz1gsCAiUgn3sEgMV4boA4MFEZFKOt3RpaZFXGo6Jjw+XR8YLIiIVBCOKOiOrQjh5lhj4uCIhS4wWBARqaBzwIoQG1eEjAlHLPSBwYKISAUDGze5ImRs4ntZMFhoGoMFEZEKOt1s3EwUmzf1gcGCiEgF8RUh7K8Ys9hUSCCkwB+KqFwNjYTBgohIBR3xFSEMFmNlNsqwmqL9KO4Ap0O0isGCiCjNBq4IKcrjUtNE9E+HMFhoFYMFEVGadXlDEAKwmGSuCEkQ+yy0j8GCiCjNuCJk/Bxccqp5DBZERGnW4Yn2VxRyx82EccRC+xgsiIjSrINLTccttjLE5eOIhVYxWBARpVlsKqSYS00T1r9JFkcstIrBgogojSKKQLe374wQjlgkLBYsPIEIFEWoXA0Nh8GCiCiNurxBKELAbJSRZzGqXY7u5FmMMMgSFCHgDnI6RIsYLIiI0ogrQiZGkqR4IOPKEG1isCAiSqN2d2xFCKdBxosrQ7SNwYKIKI3iIxbccXPceHy6tjFYEBGl0cCpEBofB0csNI3BgogoTSKKQJenb0UIl5qOG0cstI3BgogoTboHrAixc0XIuPXvZcFgoUUMFkREadLBFSFJweZNbWOwICJKE27lnRyxqZBASIE/FFG5GhqKwYKIKE36V4QwWEyE2SjDaooeN+8OcDpEaxgsiIjSpJOnmiZN/3QIg4XWMFgQEaVBRBHo4hkhScM+C+1isCAiSoNubxARJboiJLYPA42fg8enaxaDBRFRGsT6Kwq5IiQpOGKhXQwWRERp0OHhipBk4iZZ2sVgQUSUBtzKO7n6N8niiIXWMFgQEaUBRyySKxYsPIEIFEWoXA0NxGBBRJRiiiLQxVNNkyrPYoRBlqAIAXeQ0yFawmBBRJRi3b4QIoqAySBxRUiSSJKEPAv3stAiBgsiohQbuDEWV4QkD1eGaBODBRFRivGMkNTgyhBtYrAgIkoxnhGSGg6OWGgSgwURUYq1c6lpSnDEQpsYLIiIUkhRBLrjwYIrQpKpfy8LBgstYbAgIkqhHl8I4diKkByuCEkmNm9qE4MFEVEKxTbGKuAZIUkXmwoJhBT4QxGVq6EYBgsiohTiVt6pYzbKsJoMAAB3gNMhWsFgQUSUQh3u6B4W3HEzNfqnQxgstILBgogohXhGSGrFGzh97LPQCgYLIqIUGXRGCINFSjhzon0W3QwWmsFgQUSUIi5/dEWIUZbg6Gs0pOSKLeGNbZtO6mOwICJKkYErQmSZK0JSocAWDWydHo5YaAWDBRFRisTOCCnmVt4pE+tdcflCCIYVlashgMGCiChlBp5qSqmRazYixxxdctrtDapcDQEMFkREKcMVIelRmBv9/Y39fpO6EgoWmzdvxtKlS2G321FaWoq1a9fi6NGjqaqNiEi3FEWg080VIekQC25dDBaakFCw2LlzJ9atW4f33nsP27dvRygUwic/+Ul4PJ5U1UdEpEu9/nB8RUhsSSSlRkFfsOjkVIgmJHQizmuvvTbo461bt6K0tBT19fW45pprhn1OIBBAINC/DMjlco2jTCIi9Z3v9sHlD6HIZkGhzQzDKCs92vv6K7giJPViI0KdHLHQhAkdtdfT0wMAKCwsHPExmzdvxkMPPTSRlyEiUp0vGMEf6s8irAgAgEGWUGgzo8RuQXGeBaV9v8YaCXlGSPrERiy6vSEoimCQU9m4g4WiKNiwYQOuuuoqzJs3b8THbdq0CRs3box/7HK5UFVVNd6XJSJSxQWXP378uSRJCIYVtPUG0NY7eGOmPIsRJXZL/ChvNm6mnsNqhMkgIRQR6PaF+HuusnEHi3Xr1uHQoUN4++23R32cxWKBxcKlVkSkby0uPwCgujQPq+eWw+ULo80dDRbt7uhbtzcEdyA86KRNHj6WepIkocBmRqsrgE5PkMFCZeMKFuvXr8ef/vQn7Nq1C5MnT052TUREmtPaNzJR6rBCkiQ4c01w5ppQXZoXf0wgHEGHOxgPG7IkYXqxTa2Ss0phbn+wIHUlFCyEEPjmN7+Jbdu2YceOHZg+fXqq6iIi0pTWvhGLMod1xMdYjAZU5uegMj8nXWVRn0I2cGpGQsFi3bp1+M1vfoP//d//hd1ux4ULFwAATqcTOTn8i0REmckdCKPXH4YkASWc2tAkBgvtSGgfi6effho9PT1YuXIlKioq4m+//e1vU1UfEZHqYqMVRTYzzEZuWKxF8U2yvEEIIVSuJrslPBVCRJRtWlz9/RWkTfm5Zsh9q3XcgTDsPKZeNYzeRESX0Np76f4KUpdBlpCfGztCndMhamKwICIahRAivtS0zMH+Ci0rYJ+FJjBYEBGNwh0IwxOIQJYkFLNxU9O4tbc2MFgQEY0i1l9RlGeGycB/MrWsIJfBQgv4t4SIaBSxFSGldo5WaF1RHoOFFjBYEBGNooWNm7oRa970BiPwhyIqV5O9GCyIiEYQbdyMToUwWGifxWiA3RrdRaGDoxaqYbAgIhqByx+GLxiBQZZQnMeDrfQgvlEWg4VqGCyIiEYQ33EzzwwjGzd1gUtO1ce/KUREI4hPg9g5DaIXXHKqPgYLIqIRtIzhRFPSFi45VR+DBRHRMIQQaO2NNW5yqalexJacuvwhhCKKytVkJwYLIqJhuHxh+EPRxs0i7ripGzkmA6wmA4SInnRK6cdgQUQ0jNj+FSV2CwyypHI1NFaSJLHPQmUMFkREw+DBY/rFlSHqYrAgIhpGbEVIKVeE6E6hjcenq4nBgohoiMFHpTNY6E2hLTrKxE2y1MFgQUQ0RLc3hGBYgVHun68n/SjsW3La5Q1BUYTK1WQfBgsioiEGNm7KbNzUHUeOESaDhIgi0OMLqV1O1mGwICIaggeP6ZskSciPbZTFJadpx2BBRDRErL+ilCtCdItLTtXDYEFENICiCLT1csRC77jkVD0MFkREA3R5gwiGFZgMUrwJkPSHIxbqYbAgIhpg4P4VbNzUr4EjFkJwZUg6MVgQEQ0QWxHC/gp9y88xQZYkBMMK3IGw2uVkFQYLIqIBWrkxVkYwGmQ4c4wAgC4Pl5ymE4MFEVEfNm5mlvh0CJecphWDBRFRnw5PEKGIgNkooyDXpHY5NEFFfVt7d3oCKleSXRgsiIj6xPevsFsgSWzc1LuC+GFknApJJwYLIqI+nAbJLByxUAeDBRFRH55omlliIxaeQAT+UETlarIHgwUREYDIoMZNLjXNBBajAXZrdGUIN8pKHwYLIiIAHZ4AwoqAxSTDmcPGzUxRkMsdONONwYKICEDrgB032biZOQrzGCzSjcGCiAgD+ys4DZJJYue9dHEvi7RhsCAiQv8ZIWzczCyFPIws7RgsiCjrhSMK2t19wcLOYJFJYsGixxdCOKKoXE12YLAgoqzX4QkioghYTQY4+s6XoMyQazbAYpIhBNDl5UZZ6cBgQURZb2B/BRs3M4skSSjidEhaMVgQUdZjf0Vm45LT9GKwIKKsxxUhma2IS07TisGCiLJaKKKgwx39gVPKEYuMFB+x4JLTtGCwIKKs1u4OQBECuWYD7BY2bmai2GFk3Z4gFEWoXE3mY7Agoqw2sL+CjZuZyW41wihLCCsCLj9XhqQagwURZbVYf0Up+ysylixLyOfKkLRhsCCirNbKo9KzApecpg+DBRFlrVBEQUffDxoGi8zGJafpw04lIspK3mAYB5q6IQRgsxiQx8bNjMYlp+nDv0lElDUiikBDuwcfNbvQ0OaBIqIrBCYX5KpcGaXawCWnQgg26qYQgwURZbzWXj8+Ou/C0Qu98AYj8c+XOayYU+nAnAqHitVROhTkmiBJQCCkwBOMcIQqhfg7S0QZyRsM48iFXnx03oW23kD88zaLAbPLHZhT6UBxHleCZAujQYYzx4RubwhdniCDRQrxd5aIMkqvP4S/Hm0bNNVhkCXMKLFhToUD04pskGUOg2ejQpsZ3d4QOjxBVBVy+itVGCyIKKO8+XErGto9APqnOmrL7MgxG1SujNRWaDPjVJsHXWzgTCkGCyLKGJ5AGKc7oqHi1qVVmJSfo3JFpCWxrb2burxs4Ewh7mNBRBnjyIVeCAFUOK0MFXSRGSU2mI0yOtxBnGxzq11OxmKwIKKM8XGzCwBwGVd50DCsJgMWVuUDAN471QkheCBZKjBYEFFGaOsNoK03AIMsobbcrnY5pFGLphbAbJTR1hvAyTaP2uVkJAYLIsoIsdGK6cU2WE1s1KThWU0GXN43arGnoYOjFinAYEFEuqcoAkcucBqExmbRlOioRasrEF9BRMnDYEFEutfY6YUnEIHVZMD0Ypva5ZDG5ZgNqJvsBMBei1RgsCAi3YtNg8wut8PAza9oDBZPLYDJIKHF5cfpDq/a5WQUBgsi0rVAOBJfOshpEBqrXLMRdZPzAQB7TrHXIpkYLIhI1060uhGKCBTazChz8OwPGrvFUwtglCU09/jR2MlRi2RhsCAiXfu4uRdAdLSCOylSImwWI+bHey04apEsDBZEpFs9vhCa+v6nObuCe1dQ4pZMK4RRlnC+24+mTp/a5WSEhIPFrl27cPPNN6OyshKSJOGll15KQVlERJd29EJ0tGJyQQ4cVpPK1ZAe5VmMmBcbtWjoULmazJBwsPB4PFiwYAGeeuqpVNRDRDQmQghu4U1JsWRqAQyyhHNdvvgIGI1fwqebrlmzBmvWrElFLUREY9biCqDTE4TJIKGmLE/tckjH7FYT5k1y4MOmHuxp6ERVYa7aJelaynssAoEAXC7XoDcioomKjVbMLMmDxcgtvGlilkwrhEGW0NTpxdkujlpMRMqDxebNm+F0OuNvVVVVqX5JIspwEUXgaEv/ahCiiXJYTZhbGf2ztOdUp8rV6FvKg8WmTZvQ09MTf2tqakr1SxJRhmto98AXjCDPYsQUDltTkiyZVghZktDY6cX5bq4QGa+UBwuLxQKHwzHojYhoImLTILXldsjcwpuSxJljwpzYqAVXiIwb97EgIl3xhyLxEyk5DULJtqxv1OJ0uxfNPRy1GI+Eg4Xb7caBAwdw4MABAEBDQwMOHDiAxsbGZNdGRHSRYy29iCgCJXYLSuzcwpuSy5lrwmV9m62x12J8Eg4W+/btw8KFC7Fw4UIAwMaNG7Fw4UJ897vfTXpxRERDce8KSrVl06OjFg3tHrS4/GqXozsJ72OxcuVK7qdORKro8gRxvtsPSYoekU6UCvm5ZtSW2/FxswvvnerAZy6fpHZJusIeCyLSjY8vREcrphXZYLMk/P8iojFbPr0QkgScavOg1x9SuxxdYbAgIl2IbuHNvSsoPQpsZlQ4rQCAk20elavRFwYLItKFc90+uHwhmI0yZpTY1C6HskB1aXSr+JOtbpUr0RcGCyLShdhoRU1pHkwG/tNFqTezJBosznb54AtGVK5GP/i3k4g0LxRRcIxbeFOa5eeaUWK3QBECp9o5ajFWDBZEpHmn2jwIhhU4ckyYXJCjdjmURWLTISc4HTJmDBZEpHnxvSvK7ZAkbuFN6RMLFo0dXgTCnA4ZCwYLItK0FpcfDe0eSBKnQSj9imxmFOSaEFYEznTwOPWxYLAgIk17+3g7gOiGWAU2s8rVULaRJAnVpdHN2DgdMjYMFkSkWY0dXjR2emGQJayYUax2OZSlYtMhDe0ehCOKytVoH4MFEWmSEAJvn4iOVsyf7IQz16RyRZStyhwW2K1GBMMKGjs5HXIpDBZEpEnHW91ocflhNspYPr1Q7XIoi0mShJlcHTJmDBZEpDkRRWB332jFoikFyDXzXBBSV3XfZlmn2j1QFB7EORoGCyLSnMPne9DtDSHXbMCiqflql0OESfk5yDEb4AtGcK7bp3Y5msZgQUSaEgwreO9UBwBg2fRCWIwGlSsiAmRZwozi6Bk1nA4ZHYMFEWnKgaZueAIROHNMqJucr3Y5RHHxQ8na3BCC0yEjYbAgIs3wBSPYe7oTALBiZhEMMnfZJO2YUpgLs1FGrz+MCy6/2uVoFoMFEWnG3tOdCIYVlNgtmF1uV7scokGMBhnTOR1ySQwWRKQJLn8IHzZ1AwCuqi7mmSCkSQMPJeN0yPAYLIhIE9472YGwIjC5IAfTinLVLodoWNOKbDDKErq9IbS7g2qXo0kMFkSkug53AB/1nWD6DzUcrSDtMhtlTOkLvpwOGR6DBRGpbvfJDggRHWaucOaoXQ7RqOLTIW0MFsNhsCAiVZ3v9uFkqxuSBFw5s0jtcoguaWZJHmRJQntvAN1eTocMxWBBREkhhEBrrx/+UCSh58QOGptb6URRniVV5REljdVkwOSC6MjaSY5aXIQb8BNRUhxo6saOo20wyBImF+RgZkkeZpTYYLeOfCppQ7sH57p8MMoSrpjBg8ZIP6pL89DY6cWJVjcWT+Wf3YEYLIhownzBCN7t24Y7ogic6fDiTIcXbx0Byp1WzCi2YWZpHops5nhjpqII7D4Zfc7lU/JHDSBEWjOzNA9vHWnF+W4/3IEw8iz8cRrD3wkimrD3TnUgEIpubLVmXjka2j042eZGc48fF/re3jnZgfxcU3wko8cXQntvABaTjKXT+D8+0pc8ixGV+Vac7/bjZKsbC6ry1S5JMxgsiGhCOtwB/P1sDwDg2lklKMqzoCjPgiXTCuEJhHGqzYNT7W40dnjR7Q2h/kwX6s90xZ+/dFohrCYeNEb6U12ah/PdfpxgsBiEwYKIJuRvx9uhCIGZpXmoKhy8sZXNYsT8yU7Mn+xEMKzgTEd0JKOh3Qt/KAK71YjL+Q8y6dTMkjzsOtaOs10++IIR5JgZkAEGCyKagDMdHjS0eyBLEq6uLh71sWajjJoyO2rK7IgoAi0uPxw5JpgMXJxG+pSfa0aJ3YK23gBOtbsxt9KpdkmawL/RRDQuiiKw61gbAGBBlRMFNvOYn2uQJVTm57DhjXRv4NkhFMVgQUTjcuh8D9rdQVhNBlwxgxtbUXaKBYvGDi8C4bHv4ZLJGCyIKGH+UATv9i0VvWIGmy8pexXZzCjINSHct8yaGCyIaBz2nu6ENxhBoc2Musn5apdDpBpJklBdagfA6ZAYBgsiSkiPN4T9jd0AgKtrimGQeRIpZbfYdEhDuwfhiKJyNepjsCCihPztRBsiisCUwlxML7apXQ6R6socFtitRgTDCj7s29MlmzFYENGYne3y4nhL9CTSa2aVxLfnJspmkiRh2fTo7rG7T7SjrTegckXqYrAgojERQmDXsehJpPMqnSix8yRSopj5k5yYUWJDRBF47VBzVk+JMFgQ0Zh83NyLFpcfZqOMFTO5vJRoIEmScMOcMuSaDWh3B/H2iXa1S1INgwURXVIwrOCdk9F/KJdNL4SNG1sRXSTXbMQn55YDAPY3duNMh0flitTBYEFEl1R/pgu9/jAcOSYs5NkeRCOaXmzDgqro1t5/OdwCXzD7Ns1isCCiUfX6Q6g/0wkgurzUyLM9iEZ1dU0JCm1muANhvPFxC4QQapeUVvwXgohG9c7JDoQiApX5VtT0rdcnopGZDDLWzCuHQZZwotWNw+ddapeUVpwoJcoy57p9aHX5IUkSJACSBEiQEFs5KkvR9yUJCIQUfNT3j+K1s0q5vJRojEodVqyYWYS3j7dj57E2TC7IQX7u2A/q0zMGC6IsEQhHsOtYOw6dS3wDn8sq7Ch3WlNQFVHmWjylAKfbPTjb5cNrhy7g1iVVkLNgp1oGC6Is0NTpxV8+aoHLFwIAzCixwSjLEBAQAlD65oCFQPxzsc9bTAZcXVOiZvlEuiTLElbPK8f/e+8Mmnv82NPQmRVLtRksiDJYMKxg94l2HGjqBgA4c0y4YU4Zqgpz1S2MKEs4rCZcN7sUrx68gD0NHZhalIvK/By1y0opNm8SZahz3T78es+ZeKiom+zE/71iKkMFUZrNLnfgsgo7hABeO3QBgXBmL0HliAVRhglFFLx7sgMfNHZBCMBuNeKGOWWYWsQDw4jUsrK2FOe6/ejxhbDzaFt8I61MxBELogxyoceP3+xpRP2ZaKiYU+nA/71iKkMFkcqsJgNWzy2DJAGHz7twvKVX7ZJShiMWRBkgHFGwp6ET+053QRECNosB119Whpkl3HeCSCsmF+Ri6bRCvN/QiTc+bkWZ0wqH1aR2WUnHYEGkc40dXuw83ob2vqOaZ5fbsbK2FDlmg8qVEdFQV8wowpkOL1pcfrzwfiPWzKvIuL4nBgsinWp1+fH2iXac6fACAHLMBlw/uxQ1ZXaVKyOikRhkCTfNr8DLH55DuzuIP3xwFlfOLMbSaQUZswEdgwWRzvR4Q3jnZDuOXIjO0RpkCXWTnVg2vRC5Zv6VJtI6Z64Jty2dgreOtOLjZhd2n2jH+W4fVs8tz4iRRv4rRKQT3mAYexo6cfBsDyJKdEOryyrsWDGjGM7czJunJcpkZqOM1XPLMLkgB3890oqGdg9+vecMbpxfoft9LhgsiDQuGFbwQWMX6s90IRhWAADTinNx1cxilDq4zTaRXkmShHmTnCh1WPDK35vR5Q3hd/vO4h9qirFoSr5up0YYLIjSpN0dwIUeP8xGGRajDIvRMOB9+aLjyCOKwKFzPdjT0AFPILqhTpnDin+oLsaUosxq9iLKZqV2Kz6/fAre+KgVx1p6setYG853+3DDnDJYTfqbGmGwIEqxc90+7DvdiVNtnlEfZ5AlWIxyX9gwwBeKxM/2yM814arqYtSU5un2fzFENDKL0YAb55djUkEOdh1rw4lWN9p6A/h0XcWoI5PeYBgd7iA6PEF0uAPo8ATR4w3hy/8wXbUDzxgsiFJACIFT7R7sO92J891+ANFjyCfl50AACIQVBEIRBCMKgmEFQkRHKLzBCLzBCIBooMg1G3DFjCLMm+SEIQtORSTKZpIk4fKqfJQ7rPjzwWb0+EJ4YW8TVtaWYFaZHe3uADo9wUFBIvrvxcW6fSEU2tQ5pl0Sou9YwzRxuVxwOp3o6emBw+FI50sTpVxEEThywYX6M13ocAcBAEZZwpxKBxZPLUB+7sV/0YUQCEaUvrChRN8PRaAIoKowBxaj/oZCiWhi/KEIXj984ZIjnUD0cMGiPDOKbJbor33vJ/s/I2P9+c0RC6IkCIYVHDzXg/2NXej1hwFEu74XTM7Hwin5sFlG/qsmSRIsRkM0QLAXk4gQ3QL8HxdU4oPGLrx9vAOKELBbjSjOi4aHQpsZxXkWFOSaYTZq63QOBgvKekII9Aai85Tt7kB8pMFslGAyyPE3s0GGySjBKPe/b5AlnGh148OmHvhD0SFJm8WARVMKMG+SU5eNV0SkDZIkYfHUQsyb5AQA3YxeMlhQVgmEI9H5yb4Q0eYOoN0dQCCkTPh7F+SasHhqIS6rsF+0woOIaLz0EihiGCwo44QiCly+EHp8Ibj8Ybh8IXT7QmjvDaCnb5XFULIkodBmQnGeBYU2MwyyhGBEQSgiEAorCCsKgn3vhyLRt2BEIBRRUJBrwqIpBZhZkqdaFzYRkVYwWFDahSIK3P4wXP4Qegf82usPQwgBs7FvqsEQXXoZ/VWC2WCAySjFv6YIAZcv+vweXygeJkbqko7JsxhRbI/OT8bnK3PNHGUgIkqCcQWLp556Cj/84Q9x4cIFLFiwAD/96U+xbNmyZNdGOqMoAr5QdLmkLxiBNxSGJxCBOxAdNYiGh0v/4E8Gi0mGw2qCI8cEZ99bUV+zUybsxU9EpFUJB4vf/va32LhxI5555hksX74cTzzxBFavXo2jR4+itLQ0FTWSCsKx5Y9hBYFwBP5Q9NdASIE/FIE31BceghH4guHor6EIxrp42WyUYbca4bCaYLcaYe/7VZakvmmG6P4OoQG/BsJ9UxN9n5MkwGGNhgZHjjH6a1+YYNMkEZE6Et7HYvny5Vi6dCl+9rOfAQAURUFVVRW++c1v4oEHHrjk81O1j0WvPwQlwR05hBBQxDC/IvqrogiIvo9jJETn0Adufhh7X5KiX1WEQEQRCCsC4YhAWFHiH0f6Phf9WOn7+pD3IwpCikAkoiCsCIQi0c+F+y5Qki6uQxpQS2xnRkmK9g4YJKn/fVmCLAGyLEGW+t6XJChCxPdR8Ici8ddKlCRFl0nlmg3INRuRazYgz2KMhwdHTjRMWIwyd5AkItKRlOxjEQwGUV9fj02bNsU/J8syVq1ahXfffXfY5wQCAQQCgUGFpcIL7zfBHQin5HtrzaCwM+zP/+TseSZJiG8vbTXJfXstRM+1sFmMyDH3BQhT//s5JgMbGImIslhCwaK9vR2RSARlZWWDPl9WVoYjR44M+5zNmzfjoYceGn+FY2SQJRgT/IEmy/3/k5f7RgEGfTzgV2DAj+u+QR7R/y7EgM/FRgaMct+vBgkGWYZpyMexr5sGfGwyyPHPGQ3Rzxnl6PsGOTpOIdD/mmJwSejPG32jLkJAUfrfj/SNwihCICJEfJRGltAfHEz9AYKjCkRElIiUrwrZtGkTNm7cGP/Y5XKhqqoq6a/zpX+YnvTvSURERIlJKFgUFxfDYDCgpaVl0OdbWlpQXl4+7HMsFgssFsv4KyQiIiLdSGjhvtlsxuLFi/Hmm2/GP6coCt58802sWLEi6cURERGRviQ8FbJx40bceeedWLJkCZYtW4YnnngCHo8Hd911VyrqIyIiIh1JOFjcdtttaGtrw3e/+11cuHABl19+OV577bWLGjqJiIgo+yS8j8VEpWofCyIiIkqdsf785uEIRERElDQMFkRERJQ0DBZERESUNAwWRERElDQMFkRERJQ0DBZERESUNAwWRERElDQMFkRERJQ0DBZERESUNCk/Nn2o2EafLpcr3S9NRERE4xT7uX2pDbvTHix6e3sBAFVVVel+aSIiIpqg3t5eOJ3OEb+e9rNCFEXB+fPnYbfbIUlS0r6vy+VCVVUVmpqaMvYMkky/Rl6f/mX6NfL69C/TrzGV1yeEQG9vLyorKyHLI3dSpH3EQpZlTJ48OWXf3+FwZOQfloEy/Rp5ffqX6dfI69O/TL/GVF3faCMVMWzeJCIioqRhsCAiIqKkyZhgYbFY8L3vfQ8Wi0XtUlIm06+R16d/mX6NvD79y/Rr1ML1pb15k4iIiDJXxoxYEBERkfoYLIiIiChpGCyIiIgoaRgsiIiIKGl0Eyx27dqFm2++GZWVlZAkCS+99NIln7Njxw4sWrQIFosF1dXV2Lp1a8rrHK9Er2/Hjh2QJOmitwsXLqSn4ARt3rwZS5cuhd1uR2lpKdauXYujR49e8nm/+93vMHv2bFitVsyfPx+vvPJKGqpN3Hiub+vWrRfdP6vVmqaKE/f000+jrq4uvvHOihUr8Oqrr476HL3cPyDx69Pb/RvqkUcegSRJ2LBhw6iP09M9HGgs16e3e/jggw9eVO/s2bNHfY4a9083wcLj8WDBggV46qmnxvT4hoYG3HTTTfjEJz6BAwcOYMOGDfjKV76C119/PcWVjk+i1xdz9OhRNDc3x99KS0tTVOHE7Ny5E+vWrcN7772H7du3IxQK4ZOf/CQ8Hs+Iz3nnnXfw+c9/Hl/+8pexf/9+rF27FmvXrsWhQ4fSWPnYjOf6gOjueAPv35kzZ9JUceImT56MRx55BPX19di3bx+uu+46fOYzn8Hhw4eHfbye7h+Q+PUB+rp/A+3duxdbtmxBXV3dqI/T2z2MGev1Afq7h3Pnzh1U79tvvz3iY1W7f0KHAIht27aN+pj77rtPzJ07d9DnbrvtNrF69eoUVpYcY7m+v/71rwKA6OrqSktNydba2ioAiJ07d474mFtvvVXcdNNNgz63fPly8bWvfS3V5U3YWK7vueeeE06nM31FpUBBQYF49tlnh/2anu9fzGjXp9f719vbK2pqasT27dvFtddeK+69994RH6vHe5jI9entHn7ve98TCxYsGPPj1bp/uhmxSNS7776LVatWDfrc6tWr8e6776pUUWpcfvnlqKiowA033IDdu3erXc6Y9fT0AAAKCwtHfIye7+FYrg8A3G43pk6diqqqqkv+71hLIpEIXnjhBXg8HqxYsWLYx+j5/o3l+gB93r9169bhpptuuujeDEeP9zCR6wP0dw+PHz+OyspKzJgxA7fffjsaGxtHfKxa9y/th5Cly4ULF1BWVjboc2VlZXC5XPD5fMjJyVGpsuSoqKjAM888gyVLliAQCODZZ5/FypUrsWfPHixatEjt8kalKAo2bNiAq666CvPmzRvxcSPdQ632kcSM9fpqa2vx3//936irq0NPTw9+9KMf4corr8Thw4dTelDfRBw8eBArVqyA3+9HXl4etm3bhjlz5gz7WD3ev0SuT4/374UXXsAHH3yAvXv3junxeruHiV6f3u7h8uXLsXXrVtTW1qK5uRkPPfQQrr76ahw6dAh2u/2ix6t1/zI2WGS62tpa1NbWxj++8sorcfLkSTz++OP41a9+pWJll7Zu3TocOnRo1LlBPRvr9a1YsWLQ/4avvPJKXHbZZdiyZQv+4z/+I9VljkttbS0OHDiAnp4e/P73v8edd96JnTt3jvjDV28SuT693b+mpibce++92L59u6YbFMdrPNent3u4Zs2a+Pt1dXVYvnw5pk6dihdffBFf/vKXVaxssIwNFuXl5WhpaRn0uZaWFjgcDt2PVoxk2bJlmv9hvX79evzpT3/Crl27Lvk/gpHuYXl5eSpLnJBErm8ok8mEhQsX4sSJEymqbuLMZjOqq6sBAIsXL8bevXvxk5/8BFu2bLnosXq8f4lc31Bav3/19fVobW0dNKIZiUSwa9cu/OxnP0MgEIDBYBj0HD3dw/Fc31Bav4dD5efnY9asWSPWq9b9y9geixUrVuDNN98c9Lnt27ePOl+qdwcOHEBFRYXaZQxLCIH169dj27ZteOuttzB9+vRLPkdP93A81zdUJBLBwYMHNXsPh6MoCgKBwLBf09P9G8lo1zeU1u/f9ddfj4MHD+LAgQPxtyVLluD222/HgQMHhv2hq6d7OJ7rG0rr93Aot9uNkydPjlivavcvpa2hSdTb2yv2798v9u/fLwCIxx57TOzfv1+cOXNGCCHEAw88IL7whS/EH3/q1CmRm5sr/vVf/1V8/PHH4qmnnhIGg0G89tpral3CqBK9vscff1y89NJL4vjx4+LgwYPi3nvvFbIsizfeeEOtSxjV17/+deF0OsWOHTtEc3Nz/M3r9cYf84UvfEE88MAD8Y93794tjEaj+NGPfiQ+/vhj8b3vfU+YTCZx8OBBNS5hVOO5voceeki8/vrr4uTJk6K+vl587nOfE1arVRw+fFiNS7ikBx54QOzcuVM0NDSIv//97+KBBx4QkiSJv/zlL0IIfd8/IRK/Pr3dv+EMXTWh93s41KWuT2/38Fvf+pbYsWOHaGhoELt37xarVq0SxcXForW1VQihnfunm2ARW1459O3OO+8UQghx5513imuvvfai51x++eXCbDaLGTNmiOeeey7tdY9Votf36KOPipkzZwqr1SoKCwvFypUrxVtvvaVO8WMw3LUBGHRPrr322vj1xrz44oti1qxZwmw2i7lz54o///nP6S18jMZzfRs2bBBTpkwRZrNZlJWViRtvvFF88MEH6S9+jL70pS+JqVOnCrPZLEpKSsT1118f/6ErhL7vnxCJX5/e7t9whv7g1fs9HOpS16e3e3jbbbeJiooKYTabxaRJk8Rtt90mTpw4Ef+6Vu4fj00nIiKipMnYHgsiIiJKPwYLIiIiShoGCyIiIkoaBgsiIiJKGgYLIiIiShoGCyIiIkoaBgsiIiJKGgYLIiIiShoGCyJKmmnTpuGJJ55QuwwiUhGDBRElbOvWrcjPz7/o83v37sXdd9+d/oKISDMy9th0IhqfYDAIs9k8rueWlJQkuRoi0huOWBBluZUrV2L9+vXYsGEDiouLsXr1ajz22GOYP38+bDYbqqqq8I1vfANutxsAsGPHDtx1113o6emBJEmQJAkPPvgggIunQiRJwrPPPotbbrkFubm5qKmpwcsvvzzo9V9++WXU1NTAarXiE5/4BJ5//nlIkoTu7u40/Q4QUTIxWBARnn/+eZjNZuzevRvPPPMMZFnGk08+icOHD+P555/HW2+9hfvuuw8AcOWVV+KJJ56Aw+FAc3Mzmpub8e1vf3vE7/3QQw/h1ltvxd///nfceOONuP3229HZ2QkAaGhowGc/+1msXbsWH374Ib72ta/hO9/5TlqumYhSg1MhRISamhr853/+Z/zj2tra+PvTpk3D97//fdxzzz34+c9/DrPZDKfTCUmSUF5efsnv/cUvfhGf//znAQA/+MEP8OSTT+L999/Hpz71KWzZsgW1tbX44Q9/GH/dQ4cO4eGHH07yFRJRujBYEBEWL1486OM33ngDmzdvxpEjR+ByuRAOh+H3++H1epGbm5vQ966rq4u/b7PZ4HA40NraCgA4evQoli5dOujxy5YtG+dVEJEWcCqEiGCz2eLvnz59Gp/+9KdRV1eHP/zhD6ivr8dTTz0FINrYmSiTyTToY0mSoCjKxAomIs3iiAURDVJfXw9FUfDjH/8Yshz9v8eLL7446DFmsxmRSGTCr1VbW4tXXnll0Of27t074e9LROrhiAURDVJdXY1QKISf/vSnOHXqFH71q1/hmWeeGfSYadOmwe12480330R7ezu8Xu+4XutrX/sajhw5gvvvvx/Hjh3Diy++iK1btwKIjmwQkf4wWBDRIAsWLMBjjz2GRx99FPPmzcOvf/1rbN68edBjrrzyStxzzz247bbbUFJSMqjxMxHTp0/H73//e/zxj39EXV0dnn766fiqEIvFMuFrIaL0k4QQQu0iiIhiHn74YTzzzDNoampSuxQiGgf2WBCRqn7+859j6dKlKCoqwu7du/HDH/4Q69evV7ssIhonBgsiUtXx48fx/e9/H52dnZgyZQq+9a1vYdOmTWqXRUTjxKkQIiIiSho2bxIREVHSMFgQERFR0jBYEBERUdIwWBAREVHSMFgQERFR0jBYEBERUdIwWBAREVHSMFgQERFR0vz/Hqw9pgCDyQMAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "ratings_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "tB3QtDCRR0WR",
        "outputId": "a9db7af6-134a-4a13-e581-74480f6592ce"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   rating  percentage\n",
              "1     1.0    0.000675\n",
              "2     1.1    0.000675\n",
              "3     1.2    0.002698\n",
              "4     1.3    0.002024\n",
              "5     1.4    0.006745\n",
              "6     1.5    0.012141\n",
              "7     1.6    0.011467\n",
              "8     1.7    0.008769\n",
              "9     1.8    0.018212\n",
              "10    1.9    0.031028\n",
              "11    2.0    0.048565\n",
              "12    2.1    0.041145\n",
              "13    2.2    0.060032\n",
              "14    2.3    0.086338\n",
              "15    2.4    0.079593\n",
              "16    2.5    0.148393\n",
              "17    2.6    0.139624\n",
              "18    2.7    0.219217\n",
              "19    2.8    0.319045\n",
              "20    2.9    0.317696\n",
              "21    3.0    0.578733\n",
              "22    3.1    0.532866\n",
              "23    3.2    0.808742\n",
              "24    3.3    1.211426\n",
              "25    3.4    1.266736\n",
              "26    3.5    1.995211\n",
              "27    3.6    1.968230\n",
              "28    3.7    2.859263\n",
              "29    3.8    3.863613\n",
              "30    3.9    3.661259\n",
              "31    4.0    4.400526\n",
              "32    4.1    4.241341\n",
              "33    4.2    3.919598\n",
              "34    4.3    3.375940\n",
              "35    4.4    2.121345\n",
              "36    4.5    1.197261\n",
              "37    4.6    0.898452\n",
              "38    4.7    0.437085\n",
              "39    4.8    0.227986\n",
              "40    4.9    0.116016\n",
              "41    5.0    0.140973"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4d45626c-3af8-4d1d-8141-e867c4a31660\" 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>rating</th>\n",
              "      <th>percentage</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1.0</td>\n",
              "      <td>0.000675</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>1.1</td>\n",
              "      <td>0.000675</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1.2</td>\n",
              "      <td>0.002698</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1.3</td>\n",
              "      <td>0.002024</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1.4</td>\n",
              "      <td>0.006745</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>1.5</td>\n",
              "      <td>0.012141</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>1.6</td>\n",
              "      <td>0.011467</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>1.7</td>\n",
              "      <td>0.008769</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>1.8</td>\n",
              "      <td>0.018212</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>1.9</td>\n",
              "      <td>0.031028</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>2.0</td>\n",
              "      <td>0.048565</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>2.1</td>\n",
              "      <td>0.041145</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>2.2</td>\n",
              "      <td>0.060032</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>2.3</td>\n",
              "      <td>0.086338</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>2.4</td>\n",
              "      <td>0.079593</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>2.5</td>\n",
              "      <td>0.148393</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>2.6</td>\n",
              "      <td>0.139624</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>2.7</td>\n",
              "      <td>0.219217</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>2.8</td>\n",
              "      <td>0.319045</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>2.9</td>\n",
              "      <td>0.317696</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>3.0</td>\n",
              "      <td>0.578733</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>3.1</td>\n",
              "      <td>0.532866</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>3.2</td>\n",
              "      <td>0.808742</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>3.3</td>\n",
              "      <td>1.211426</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>3.4</td>\n",
              "      <td>1.266736</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>3.5</td>\n",
              "      <td>1.995211</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>3.6</td>\n",
              "      <td>1.968230</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>3.7</td>\n",
              "      <td>2.859263</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>3.8</td>\n",
              "      <td>3.863613</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>3.9</td>\n",
              "      <td>3.661259</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>4.0</td>\n",
              "      <td>4.400526</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>4.1</td>\n",
              "      <td>4.241341</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>4.2</td>\n",
              "      <td>3.919598</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>4.3</td>\n",
              "      <td>3.375940</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>4.4</td>\n",
              "      <td>2.121345</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>4.5</td>\n",
              "      <td>1.197261</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>4.6</td>\n",
              "      <td>0.898452</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>4.7</td>\n",
              "      <td>0.437085</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>4.8</td>\n",
              "      <td>0.227986</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>4.9</td>\n",
              "      <td>0.116016</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>5.0</td>\n",
              "      <td>0.140973</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4d45626c-3af8-4d1d-8141-e867c4a31660')\"\n",
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              "\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",
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              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "        document.querySelector('#df-4d45626c-3af8-4d1d-8141-e867c4a31660 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "                                                    [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",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
              "\n",
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              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
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              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
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              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
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              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-7ffc6fa8-d3de-4fa0-b6fa-b0f0d147c9c6 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_f72c44c2-89b0-4de4-b93b-99dd15d006aa\">\n",
              "    <style>\n",
              "      .colab-df-generate {\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-generate: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-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('ratings_df')\"\n",
              "            title=\"Generate code using this dataframe.\"\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=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_f72c44c2-89b0-4de4-b93b-99dd15d006aa button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('ratings_df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "ratings_df",
              "summary": "{\n  \"name\": \"ratings_df\",\n  \"rows\": 41,\n  \"fields\": [\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 41,\n        \"samples\": [\n          \"3.4\",\n          \"2.3\",\n          \"1.8\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"percentage\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.3999747848063564,\n        \"min\": 0.0006745135071329803,\n        \"max\": 4.400526120535564,\n        \"num_unique_values\": 40,\n        \"samples\": [\n          0.5787325891200972,\n          0.2192168898182186,\n          0.13962429597652692\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Which city had the most restaurants?"
      ],
      "metadata": {
        "id": "xNWKNQTxyWFX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.groupby(['city'])['id'].nunique().sort_values(ascending=False).head(25)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7il-n8LpbLBg",
        "outputId": "03a826bc-6531-4fb4-f610-23b0bd07907a"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "city\n",
              "Bikaner                      1665\n",
              "Noida-1                      1424\n",
              "Indirapuram,Delhi            1279\n",
              "BTM,Bangalore                1159\n",
              "Rohini,Delhi                 1135\n",
              "Kothrud,Pune                 1086\n",
              "Indiranagar,Bangalore        1079\n",
              "Electronic City,Bangalore    1039\n",
              "Greater Kailash 2,Delhi      1037\n",
              "Vashi,Mumbai                 1021\n",
              "Kukatpally,Hyderabad         1008\n",
              "Viman Nagar,Pune             1000\n",
              "sohna road,Gurgaon            973\n",
              "Koramangala,Bangalore         953\n",
              "Laxmi Nagar,Delhi             930\n",
              "Gomti Nagar,Lucknow           915\n",
              "HSR,Bangalore                 898\n",
              "Malviya Nagar,Delhi           896\n",
              "Madhapur,Hyderabad            892\n",
              "Wakad,Pune                    868\n",
              "Raj Nagar,Noida               849\n",
              "Baner,Pune                    813\n",
              "Bandra West,Mumbai            794\n",
              "Central Kolkata,Kolkata       789\n",
              "Aliganj,Lucknow               784\n",
              "Name: id, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### Which city has the best food?"
      ],
      "metadata": {
        "id": "Sjz6mvUrb7BV"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df['rating_count'].unique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xPuP5T1tc9c5",
        "outputId": "721bbaa1-fc42-4ca1-c16d-b947eef11980"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['Too Few Ratings', '50+ ratings', '100+ ratings', '20+ ratings',\n",
              "       '500+ ratings', '1K+ ratings', '5K+ ratings', '10K+ ratings'],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# City with best restaurants\n",
        "sub1 = df[df['rating_count'].isin(['100+ ratings', '500+ ratings', '1K+ ratings', '5K+ ratings', '10K+ ratings'])]\n",
        "sub1.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "sd3vRXOFcN-C",
        "outputId": "b11300dd-7589-4746-e972-05bc76081120"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        id                    name      city  rating  rating_count   cost  \\\n",
              "2   158203       theka coffee desi    Abohar     3.8  100+ ratings  100.0   \n",
              "6   156588        shere punjab veg    Abohar     4.0  100+ ratings  150.0   \n",
              "38  351387         NIKKU VEG THALI    Abohar     4.1  100+ ratings  150.0   \n",
              "63  165533          IFC Restaurant  Adilabad     3.5  100+ ratings  400.0   \n",
              "65  242943  Hot N Chill Restaurant  Adilabad     3.5  100+ ratings  150.0   \n",
              "\n",
              "             cuisine          lic_no  \\\n",
              "2          Beverages  22121652000190   \n",
              "6       North Indian  22120652000021   \n",
              "38      North Indian  22121652000183   \n",
              "63          American  13619001000093   \n",
              "65  European,Italian  13619001000192   \n",
              "\n",
              "                                                 link  \\\n",
              "2   https://www.swiggy.com/restaurants/theka-coffe...   \n",
              "6   https://www.swiggy.com/restaurants/shere-punja...   \n",
              "38  https://www.swiggy.com/restaurants/nikku-veg-t...   \n",
              "63  https://www.swiggy.com/restaurants/ifc-restaur...   \n",
              "65  https://www.swiggy.com/restaurants/hot-n-chill...   \n",
              "\n",
              "                                              address              menu  \n",
              "2          theka coffee desi, sahtiya sadan road city  Menu/158203.json  \n",
              "6   shere punjab veg, major surinder chowk near ve...  Menu/156588.json  \n",
              "38  NIKKU VEG THALI, College Road, Near Railway Li...  Menu/351387.json  \n",
              "63  IFC Restaurant, Jagadamba Towers, Gandhi Print...  Menu/165533.json  \n",
              "65  Hot N Chill Restaurant, H NO 4 -4 -703 BHUKTHA...  Menu/242943.json  "
            ],
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              "      <th>id</th>\n",
              "      <th>name</th>\n",
              "      <th>city</th>\n",
              "      <th>rating</th>\n",
              "      <th>rating_count</th>\n",
              "      <th>cost</th>\n",
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              "      <th>2</th>\n",
              "      <td>158203</td>\n",
              "      <td>theka coffee desi</td>\n",
              "      <td>Abohar</td>\n",
              "      <td>3.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>100.0</td>\n",
              "      <td>Beverages</td>\n",
              "      <td>22121652000190</td>\n",
              "      <td>https://www.swiggy.com/restaurants/theka-coffe...</td>\n",
              "      <td>theka coffee desi, sahtiya sadan road city</td>\n",
              "      <td>Menu/158203.json</td>\n",
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              "      <th>6</th>\n",
              "      <td>156588</td>\n",
              "      <td>shere punjab veg</td>\n",
              "      <td>Abohar</td>\n",
              "      <td>4.0</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>150.0</td>\n",
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              "      <td>https://www.swiggy.com/restaurants/shere-punja...</td>\n",
              "      <td>shere punjab veg, major surinder chowk near ve...</td>\n",
              "      <td>Menu/156588.json</td>\n",
              "    </tr>\n",
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              "      <th>38</th>\n",
              "      <td>351387</td>\n",
              "      <td>NIKKU VEG THALI</td>\n",
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              "      <td>4.1</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>150.0</td>\n",
              "      <td>North Indian</td>\n",
              "      <td>22121652000183</td>\n",
              "      <td>https://www.swiggy.com/restaurants/nikku-veg-t...</td>\n",
              "      <td>NIKKU VEG THALI, College Road, Near Railway Li...</td>\n",
              "      <td>Menu/351387.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>63</th>\n",
              "      <td>165533</td>\n",
              "      <td>IFC Restaurant</td>\n",
              "      <td>Adilabad</td>\n",
              "      <td>3.5</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>400.0</td>\n",
              "      <td>American</td>\n",
              "      <td>13619001000093</td>\n",
              "      <td>https://www.swiggy.com/restaurants/ifc-restaur...</td>\n",
              "      <td>IFC Restaurant, Jagadamba Towers, Gandhi Print...</td>\n",
              "      <td>Menu/165533.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65</th>\n",
              "      <td>242943</td>\n",
              "      <td>Hot N Chill Restaurant</td>\n",
              "      <td>Adilabad</td>\n",
              "      <td>3.5</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>150.0</td>\n",
              "      <td>European,Italian</td>\n",
              "      <td>13619001000192</td>\n",
              "      <td>https://www.swiggy.com/restaurants/hot-n-chill...</td>\n",
              "      <td>Hot N Chill Restaurant, H NO 4 -4 -703 BHUKTHA...</td>\n",
              "      <td>Menu/242943.json</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "\n",
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              "    async function quickchart(key) {\n",
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              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sub1",
              "summary": "{\n  \"name\": \"sub1\",\n  \"rows\": 27754,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 152768,\n        \"min\": 211,\n        \"max\": 575570,\n        \"num_unique_values\": 27754,\n        \"samples\": [\n          49820,\n          27551,\n          65396\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 17567,\n        \"samples\": [\n          \"RK'S Family Restro & Bar\",\n          \"Garwa Biryani\",\n          \"Planet Of Momos\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 690,\n        \"samples\": [\n          \"Haridwar\",\n          \"Namakkal\",\n          \"Gokak\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.32974374935997813,\n        \"min\": 1.6,\n        \"max\": 5.0,\n        \"num_unique_values\": 35,\n        \"samples\": [\n          2.2,\n          3.1,\n          4.8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating_count\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"500+ ratings\",\n          \"10K+ ratings\",\n          \"1K+ ratings\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cost\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 165.80279045344903,\n        \"min\": 1.0,\n        \"max\": 2509.0,\n        \"num_unique_values\": 145,\n        \"samples\": [\n          1400.0,\n          315.0,\n          1200.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cuisine\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1137,\n        \"samples\": [\n          \"Beverages,Italian\",\n          \"Lebanese,Kebabs\",\n          \"Pizzas,Burgers\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"lic_no\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 23348,\n        \"samples\": [\n          \"20421151000144\",\n          \"21320213000310\",\n          \"21421010004741\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"link\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 27754,\n        \"samples\": [\n          \"https://www.swiggy.com/restaurants/hot-breads-st-thomas-mount-guindy-chennai-49820\",\n          \"https://www.swiggy.com/restaurants/bread-story-baner-pune-27551\",\n          \"https://www.swiggy.com/restaurants/neelkanth-green-gomtinagar-gomti-nagar-lucknow-65396\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"address\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 27751,\n        \"samples\": [\n          \"Hot Breads, 1/45 - 1A, Mount Poonamalle High Road, St. Thomas Mount, Chennai\",\n          \"Copper Kitchen, No 73 100ft Road,Ellaipillai Chavadi,Puducheery Urban,Puducheery 605005\",\n          \"McDonald's, Ground Floor,Abad Nucleus Mall & Office,NH 85,Kochi-Madurai-Dhanushkodi Road,Maradu PO,Cochin\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"menu\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 27754,\n        \"samples\": [\n          \"Menu/49820.json\",\n          \"Menu/27551.json\",\n          \"Menu/65396.json\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sub2 = sub1[sub1['rating'] >= 4.8]"
      ],
      "metadata": {
        "id": "saC6GY6Ud0Wu"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "sub2"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "lX0SiElQeAZE",
        "outputId": "3a4729f4-9dbf-441b-a00f-0213729dc02e"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            id                                               name  \\\n",
              "8710    332602    Kwality Walls Frozen Dessert and Ice Cream Shop   \n",
              "10012   286156                                         SOUR HOUSE   \n",
              "10766   446568                               Dairy Day Ice Creams   \n",
              "12075   534276                                      NAALNAAD MANE   \n",
              "13491   383734          Senoritas Mexican kitchen by Little Italy   \n",
              "14164   237229                                       Omm Nom Nomm   \n",
              "17471   537526                               Brahmins Thatte idli   \n",
              "24366   161311                                      Ram Fast Food   \n",
              "35066   310943    Kwality Walls Frozen Dessert and Ice Cream Shop   \n",
              "48529   309376    Kwality Walls Frozen Dessert and Ice Cream Shop   \n",
              "51467   217386                         Blue Tokai Coffee Roasters   \n",
              "64713   509023                                          Chhaswala   \n",
              "64719   459750                                   Anmol Bhel House   \n",
              "64775   208823                                      Krishna Candy   \n",
              "67267   330540    Kwality Walls Frozen Dessert and Ice Cream Shop   \n",
              "74743   259810                               Govi's Organic Foods   \n",
              "80593   478227                                      A1 NAAN MAHAL   \n",
              "83634   509057                                        Mahi Bakery   \n",
              "83799   513786                                        Tony Bakery   \n",
              "83813   512200                        Aaradhya cafe and fast food   \n",
              "87596   526984                             SHRI KRISHNA FOOD ZONE   \n",
              "88805   124943                                  Natural Ice Cream   \n",
              "89603   120944                                             Mithai   \n",
              "89613   326540                                  Natural Ice Cream   \n",
              "93947    37107                                  Natural Ice Cream   \n",
              "94854   386631                                      Grameen Kulfi   \n",
              "95769    61773             Pabrai's Fresh and Naturelle Ice Cream   \n",
              "95973   510326    Kwality Walls Frozen Dessert and Ice Cream Shop   \n",
              "96388   320887  Pabrai's Fresh And Naturelle Ice Cream - Jodhp...   \n",
              "96786   317332                                        MOMO CIRCLE   \n",
              "102268  363536    Kwality Walls Frozen Dessert and Ice Cream Shop   \n",
              "103353  199911                                 Jain Tiffin Center   \n",
              "103833  367817                                      Grameen Kulfi   \n",
              "105275  428825                                            CAFE 99   \n",
              "107319   30897                                  Natural Ice Cream   \n",
              "107361   65688                                  Country of Origin   \n",
              "107855  351117                                      Grameen Kulfi   \n",
              "109597   57231                         Blue Tokai Coffee Roasters   \n",
              "113710  100564                                      Shrikhandwala   \n",
              "115498  355758                                      Grameen Kulfi   \n",
              "118207   84377                                     Baskin Robbins   \n",
              "128372  352810                                      Grameen Kulfi   \n",
              "135613  467010                                     SUNSHINE SHAKE   \n",
              "\n",
              "                                 city  rating  rating_count    cost  \\\n",
              "8710                        Balurghat     4.8  100+ ratings   300.0   \n",
              "10012           Koramangala,Bangalore     4.8  100+ ratings   400.0   \n",
              "10766              JP Nagar,Bangalore     4.8  100+ ratings   200.0   \n",
              "12075               Arekere,Bangalore     4.8  100+ ratings   438.0   \n",
              "13491           Indiranagar,Bangalore     4.8  100+ ratings   500.0   \n",
              "14164            Whitefield,Bangalore     4.8  100+ ratings   600.0   \n",
              "17471     Basaveshwaranagar,Bangalore     4.8  100+ ratings   150.0   \n",
              "24366                         Barnala     4.9  100+ ratings    60.0   \n",
              "35066               Annanagar,Chennai     4.8  100+ ratings   300.0   \n",
              "48529                    Jasola,Delhi     4.9  500+ ratings   300.0   \n",
              "51467         Greater Kailash 2,Delhi     4.8  100+ ratings   800.0   \n",
              "64713                          Gondal     4.9  100+ ratings   150.0   \n",
              "64719                          Gondal     4.8  100+ ratings   100.0   \n",
              "64775                          Gondal     4.8  100+ ratings    60.0   \n",
              "67267    Old Gurgaon (Zone 6),Gurgaon     4.8  100+ ratings   300.0   \n",
              "74743         Banjara Hills,Hyderabad     4.8  100+ ratings   300.0   \n",
              "80593            Tolichowki,Hyderabad     4.8  100+ ratings    50.0   \n",
              "83634              Manasarovar,Jaipur     4.9  100+ ratings   300.0   \n",
              "83799              Manasarovar,Jaipur     5.0  100+ ratings   300.0   \n",
              "83813              Manasarovar,Jaipur     4.9  100+ ratings   300.0   \n",
              "87596                           Katni     5.0  100+ ratings   200.0   \n",
              "88805                        Kolhapur     4.8  100+ ratings   150.0   \n",
              "89603           South Kolkata,Kolkata     4.8  500+ ratings   100.0   \n",
              "89613           South Kolkata,Kolkata     4.8  500+ ratings   150.0   \n",
              "93947         Central Kolkata,Kolkata     4.8  500+ ratings   150.0   \n",
              "94854                  Behala,Kolkata     4.8  100+ ratings   120.0   \n",
              "95769               Lake Town,Kolkata     4.8  100+ ratings   300.0   \n",
              "95973                  Dumdum,Kolkata     4.8  100+ ratings   200.0   \n",
              "96388                Jadavpur,Kolkata     4.8  100+ ratings   400.0   \n",
              "96786                Jadavpur,Kolkata     4.8  100+ ratings   200.0   \n",
              "102268                 Dugri,Ludhiana     4.9  500+ ratings   300.0   \n",
              "103353                       Mandsaur     4.9  100+ ratings   150.0   \n",
              "103833                          Mansa     4.8  100+ ratings   120.0   \n",
              "105275                        Muktsar     4.8  100+ ratings   150.0   \n",
              "107319  Mahalaxmi Malabar Hill,Mumbai     4.8  100+ ratings   150.0   \n",
              "107361  Mahalaxmi Malabar Hill,Mumbai     4.8  100+ ratings  1100.0   \n",
              "107855                   Vashi,Mumbai     4.8  100+ ratings   120.0   \n",
              "109597       Scruz Bandra East,Mumbai     4.9  100+ ratings   800.0   \n",
              "113710             Bajaj Nagar,Nagpur     4.8  100+ ratings   200.0   \n",
              "115498                      Nizamabad     4.8  100+ ratings   120.0   \n",
              "118207                      North-goa     4.8  100+ ratings   250.0   \n",
              "128372                 Hinjewadi,Pune     4.9  100+ ratings   120.0   \n",
              "135613                         Rohtak     4.9  500+ ratings   100.0   \n",
              "\n",
              "                       cuisine          lic_no  \\\n",
              "8710                 Ice Cream  12819005000009   \n",
              "10012                   Bakery  11220334000219   \n",
              "10766       Ice Cream,Desserts  11219334001941   \n",
              "12075      Indian,South Indian  11222334000255   \n",
              "13491         Mexican,Desserts  11216333001082   \n",
              "14164       Ice Cream,Desserts  11221333001632   \n",
              "17471      South Indian,Snacks  21222178000196   \n",
              "24366           Chinese,Snacks  22119006000030   \n",
              "35066       Ice Cream,Desserts  22418536000796   \n",
              "48529       Ice Cream,Desserts  23320010001748   \n",
              "51467      Healthy Food,Pastas  13320010000144   \n",
              "64713                Beverages  10721030000181   \n",
              "64719                   Snacks         license   \n",
              "64775       Desserts,Ice Cream  20717030000352   \n",
              "67267                Ice Cream  20820005003433   \n",
              "74743          Sweets,Desserts  23621030001176   \n",
              "80593             North Indian  23621031003717   \n",
              "83634      Ice Cream,Beverages  22222046000956   \n",
              "83799        Biryani,Fast Food         license   \n",
              "83813         Bakery,Fast Food         license   \n",
              "87596   North Indian,Beverages  21422190000503   \n",
              "88805                Ice Cream  11514042000499   \n",
              "89603                 Desserts  12812019001771   \n",
              "89613                Ice Cream  12820019002049   \n",
              "93947                Ice Cream  12818019005459   \n",
              "94854       Ice Cream,Desserts  12821019001670   \n",
              "95769                Ice Cream  22818013002089   \n",
              "95973       Ice Cream,Desserts  22822135000108   \n",
              "96388                Ice Cream  12820019001330   \n",
              "96786                  Chinese  12820019001637   \n",
              "102268               Ice Cream  22121026000229   \n",
              "103353  North Indian,Beverages  21419750000765   \n",
              "103833      Ice Cream,Desserts  12221027000424   \n",
              "105275       Fast Food,Italian  22121034000102   \n",
              "107319                Desserts  11519002000163   \n",
              "107361                Desserts  11519002000637   \n",
              "107855      Ice Cream,Desserts  11520016000363   \n",
              "109597   Healthy Food,American  11518005000881   \n",
              "113710         Desserts,Sweets  21517259001927   \n",
              "115498      Ice Cream,Desserts  13621009000307   \n",
              "118207      Ice Cream,Desserts  10614001000764   \n",
              "128372      Ice Cream,Desserts  11522083000051   \n",
              "135613        Beverages,Snacks         license   \n",
              "\n",
              "                                                     link  \\\n",
              "8710    https://www.swiggy.com/restaurants/kwality-wal...   \n",
              "10012   https://www.swiggy.com/restaurants/sour-house-...   \n",
              "10766   https://www.swiggy.com/restaurants/dairy-day-i...   \n",
              "12075   https://www.swiggy.com/restaurants/naalnaad-ma...   \n",
              "13491   https://www.swiggy.com/restaurants/senoritas-m...   \n",
              "14164   https://www.swiggy.com/restaurants/omm-nom-nom...   \n",
              "17471   https://www.swiggy.com/restaurants/brahmins-th...   \n",
              "24366   https://www.swiggy.com/restaurants/ram-fast-fo...   \n",
              "35066   https://www.swiggy.com/restaurants/kwality-wal...   \n",
              "48529   https://www.swiggy.com/restaurants/kwality-wal...   \n",
              "51467   https://www.swiggy.com/restaurants/blue-tokai-...   \n",
              "64713   https://www.swiggy.com/restaurants/chhaswala-b...   \n",
              "64719   https://www.swiggy.com/restaurants/anmol-bhel-...   \n",
              "64775   https://www.swiggy.com/restaurants/krishna-can...   \n",
              "67267   https://www.swiggy.com/restaurants/kwality-wal...   \n",
              "74743   https://www.swiggy.com/restaurants/govis-organ...   \n",
              "80593   https://www.swiggy.com/restaurants/a1-naan-mah...   \n",
              "83634   https://www.swiggy.com/restaurants/mahi-bakery...   \n",
              "83799   https://www.swiggy.com/restaurants/tony-bakery...   \n",
              "83813   https://www.swiggy.com/restaurants/aaradhya-ca...   \n",
              "87596   https://www.swiggy.com/restaurants/shri-krishn...   \n",
              "88805   https://www.swiggy.com/restaurants/natural-ice...   \n",
              "89603   https://www.swiggy.com/restaurants/mithai-road...   \n",
              "89613   https://www.swiggy.com/restaurants/natural-ice...   \n",
              "93947   https://www.swiggy.com/restaurants/natural-ice...   \n",
              "94854   https://www.swiggy.com/restaurants/grameen-kul...   \n",
              "95769   https://www.swiggy.com/restaurants/pabrais-fre...   \n",
              "95973   https://www.swiggy.com/restaurants/kwality-wal...   \n",
              "96388   https://www.swiggy.com/restaurants/pabrais-fre...   \n",
              "96786   https://www.swiggy.com/restaurants/momo-circle...   \n",
              "102268  https://www.swiggy.com/restaurants/kwality-wal...   \n",
              "103353  https://www.swiggy.com/restaurants/jain-tiffin...   \n",
              "103833  https://www.swiggy.com/restaurants/grameen-kul...   \n",
              "105275  https://www.swiggy.com/restaurants/cafe-99-muk...   \n",
              "107319  https://www.swiggy.com/restaurants/natural-ice...   \n",
              "107361  https://www.swiggy.com/restaurants/country-of-...   \n",
              "107855  https://www.swiggy.com/restaurants/grameen-kul...   \n",
              "109597  https://www.swiggy.com/restaurants/blue-tokai-...   \n",
              "113710  https://www.swiggy.com/restaurants/shrikhandwa...   \n",
              "115498  https://www.swiggy.com/restaurants/grameen-kul...   \n",
              "118207  https://www.swiggy.com/restaurants/baskin-robb...   \n",
              "128372  https://www.swiggy.com/restaurants/grameen-kul...   \n",
              "135613  https://www.swiggy.com/restaurants/sunshine-sh...   \n",
              "\n",
              "                                                  address              menu  \n",
              "8710    Kwality Walls Frozen Dessert and Ice Cream Sho...  Menu/332602.json  \n",
              "10012   SOUR HOUSE, 606, 20th main, Koramangala 8th block  Menu/286156.json  \n",
              "10766   Dairy Day Ice Creams, Crunch Time - Ashok Niva...  Menu/446568.json  \n",
              "12075   NAALNAAD MANE, 16,2ND FLOOR GOWRY'S BUILDING,A...  Menu/534276.json  \n",
              "13491   Senoritas Mexican kitchen by Little Italy, No....  Menu/383734.json  \n",
              "14164   Omm Nom Nomm, Villa A 101, Victorian View, Beh...  Menu/237229.json  \n",
              "17471   Brahmins Thatte idli, 2G28+675, Doddanna Indus...  Menu/537526.json  \n",
              "24366   Ram Fast Food, Handaya bazar, ram bagh de back...  Menu/161311.json  \n",
              "35066   Kwality Walls Frozen Dessert and Ice Cream Sho...  Menu/310943.json  \n",
              "48529   Kwality Walls Frozen Dessert and Ice Cream Sho...  Menu/309376.json  \n",
              "51467   Blue Tokai Coffee Roasters, M-71, Ground Floor...  Menu/217386.json  \n",
              "64713   Chhaswala, Shop no 18, Real prime, Bapa sitara...  Menu/509023.json  \n",
              "64719   Anmol Bhel House, NEW NEHRU NAGAR, 80 FT MAIN ...  Menu/459750.json  \n",
              "64775   Krishna Candy, 3-4, Silver Complex, Opp.Big Ba...  Menu/208823.json  \n",
              "67267   Kwality Walls Frozen Dessert and Ice Cream Sho...  Menu/330540.json  \n",
              "74743   Govi's Organic Foods, H.no. 6-3-609/170, anand...  Menu/259810.json  \n",
              "80593   A1 NAAN MAHAL, 8-1-31,VIRAT NAGAR,TOLICHOWKI,H...  Menu/478227.json  \n",
              "83634   Mahi Bakery, 77/98 MANSAROVAR JAIPUR , Jaipur-...  Menu/509057.json  \n",
              "83799   Tony Bakery, 33b kharbas path shiv Vatika maga...  Menu/513786.json  \n",
              "83813   Aaradhya cafe and fast food, 51,luv kush nagar...  Menu/512200.json  \n",
              "87596   SHRI KRISHNA FOOD ZONE, VIVEKANAND CHOAK LAKHE...  Menu/526984.json  \n",
              "88805   Natural Ice Cream, Atharva, 4th dimention , ne...  Menu/124943.json  \n",
              "89603        Mithai, 18, Gariahat Road, Gariahat, Kolkata  Menu/120944.json  \n",
              "89613   Natural Ice Cream, P-563, LAKE ROAD(HEMANTA MU...  Menu/326540.json  \n",
              "93947   Natural Ice Cream, Shop No 77/1A, Park Street,...   Menu/37107.json  \n",
              "94854   Grameen Kulfi, NIC NATURAL SHOP NO: 25/A, RAJA...  Menu/386631.json  \n",
              "95769   Pabrai's Fresh and Naturelle Ice Cream, Shop 2...   Menu/61773.json  \n",
              "95973   Kwality Walls Frozen Dessert and Ice Cream Sho...  Menu/510326.json  \n",
              "96388   Pabrai's Fresh And Naturelle Ice Cream - Jodhp...  Menu/320887.json  \n",
              "96786   MOMO CIRCLE, 15,N.S.C. BOSE ROAD,GROUND FLOOR,...  Menu/317332.json  \n",
              "102268  Kwality Walls Frozen Dessert and Ice Cream Sho...  Menu/363536.json  \n",
              "103353    Jain Tiffin Center, Abhinandan colony, Mandsaur  Menu/199911.json  \n",
              "103833  Grameen Kulfi, NIC NATURAL ICECREAMS -PLOT NO ...  Menu/367817.json  \n",
              "105275  CAFE 99, MALL GODAM ROAD, NEAR PUNJAB AND SIND...  Menu/428825.json  \n",
              "107319  Natural Ice Cream, 28/A, Happy Home CHS, Opp. ...   Menu/30897.json  \n",
              "107361  Country of Origin, 69 A, Nepean Sea Road, Mani...   Menu/65688.json  \n",
              "107855  Grameen Kulfi, Shop No-01, Room No-201, Ground...  Menu/351117.json  \n",
              "109597  Blue Tokai Coffee Roasters, Ground Floor, Bloc...   Menu/57231.json  \n",
              "113710  Shrikhandwala, Vitthal Rukhmini Complex, Upper...  Menu/100564.json  \n",
              "115498  Grameen Kulfi, H No. 11-1-1769/1 Maruti Nagar ...  Menu/355758.json  \n",
              "118207  Baskin Robbins, Baskin Robbins, 1, Bharadwaj H...   Menu/84377.json  \n",
              "128372  Grameen Kulfi, Nic Natural Ice Creams, Shop No...  Menu/352810.json  \n",
              "135613  SUNSHINE SHAKE, WH4X+PMX, Azad Garh, Rajendra ...  Menu/467010.json  "
            ],
            "text/html": [
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              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>name</th>\n",
              "      <th>city</th>\n",
              "      <th>rating</th>\n",
              "      <th>rating_count</th>\n",
              "      <th>cost</th>\n",
              "      <th>cuisine</th>\n",
              "      <th>lic_no</th>\n",
              "      <th>link</th>\n",
              "      <th>address</th>\n",
              "      <th>menu</th>\n",
              "    </tr>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>8710</th>\n",
              "      <td>332602</td>\n",
              "      <td>Kwality Walls Frozen Dessert and Ice Cream Shop</td>\n",
              "      <td>Balurghat</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>300.0</td>\n",
              "      <td>Ice Cream</td>\n",
              "      <td>12819005000009</td>\n",
              "      <td>https://www.swiggy.com/restaurants/kwality-wal...</td>\n",
              "      <td>Kwality Walls Frozen Dessert and Ice Cream Sho...</td>\n",
              "      <td>Menu/332602.json</td>\n",
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              "    <tr>\n",
              "      <th>10012</th>\n",
              "      <td>286156</td>\n",
              "      <td>SOUR HOUSE</td>\n",
              "      <td>Koramangala,Bangalore</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>400.0</td>\n",
              "      <td>Bakery</td>\n",
              "      <td>11220334000219</td>\n",
              "      <td>https://www.swiggy.com/restaurants/sour-house-...</td>\n",
              "      <td>SOUR HOUSE, 606, 20th main, Koramangala 8th block</td>\n",
              "      <td>Menu/286156.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10766</th>\n",
              "      <td>446568</td>\n",
              "      <td>Dairy Day Ice Creams</td>\n",
              "      <td>JP Nagar,Bangalore</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>200.0</td>\n",
              "      <td>Ice Cream,Desserts</td>\n",
              "      <td>11219334001941</td>\n",
              "      <td>https://www.swiggy.com/restaurants/dairy-day-i...</td>\n",
              "      <td>Dairy Day Ice Creams, Crunch Time - Ashok Niva...</td>\n",
              "      <td>Menu/446568.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12075</th>\n",
              "      <td>534276</td>\n",
              "      <td>NAALNAAD MANE</td>\n",
              "      <td>Arekere,Bangalore</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>438.0</td>\n",
              "      <td>Indian,South Indian</td>\n",
              "      <td>11222334000255</td>\n",
              "      <td>https://www.swiggy.com/restaurants/naalnaad-ma...</td>\n",
              "      <td>NAALNAAD MANE, 16,2ND FLOOR GOWRY'S BUILDING,A...</td>\n",
              "      <td>Menu/534276.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13491</th>\n",
              "      <td>383734</td>\n",
              "      <td>Senoritas Mexican kitchen by Little Italy</td>\n",
              "      <td>Indiranagar,Bangalore</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>500.0</td>\n",
              "      <td>Mexican,Desserts</td>\n",
              "      <td>11216333001082</td>\n",
              "      <td>https://www.swiggy.com/restaurants/senoritas-m...</td>\n",
              "      <td>Senoritas Mexican kitchen by Little Italy, No....</td>\n",
              "      <td>Menu/383734.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14164</th>\n",
              "      <td>237229</td>\n",
              "      <td>Omm Nom Nomm</td>\n",
              "      <td>Whitefield,Bangalore</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>600.0</td>\n",
              "      <td>Ice Cream,Desserts</td>\n",
              "      <td>11221333001632</td>\n",
              "      <td>https://www.swiggy.com/restaurants/omm-nom-nom...</td>\n",
              "      <td>Omm Nom Nomm, Villa A 101, Victorian View, Beh...</td>\n",
              "      <td>Menu/237229.json</td>\n",
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              "    <tr>\n",
              "      <th>17471</th>\n",
              "      <td>537526</td>\n",
              "      <td>Brahmins Thatte idli</td>\n",
              "      <td>Basaveshwaranagar,Bangalore</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>150.0</td>\n",
              "      <td>South Indian,Snacks</td>\n",
              "      <td>21222178000196</td>\n",
              "      <td>https://www.swiggy.com/restaurants/brahmins-th...</td>\n",
              "      <td>Brahmins Thatte idli, 2G28+675, Doddanna Indus...</td>\n",
              "      <td>Menu/537526.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24366</th>\n",
              "      <td>161311</td>\n",
              "      <td>Ram Fast Food</td>\n",
              "      <td>Barnala</td>\n",
              "      <td>4.9</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>60.0</td>\n",
              "      <td>Chinese,Snacks</td>\n",
              "      <td>22119006000030</td>\n",
              "      <td>https://www.swiggy.com/restaurants/ram-fast-fo...</td>\n",
              "      <td>Ram Fast Food, Handaya bazar, ram bagh de back...</td>\n",
              "      <td>Menu/161311.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35066</th>\n",
              "      <td>310943</td>\n",
              "      <td>Kwality Walls Frozen Dessert and Ice Cream Shop</td>\n",
              "      <td>Annanagar,Chennai</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>300.0</td>\n",
              "      <td>Ice Cream,Desserts</td>\n",
              "      <td>22418536000796</td>\n",
              "      <td>https://www.swiggy.com/restaurants/kwality-wal...</td>\n",
              "      <td>Kwality Walls Frozen Dessert and Ice Cream Sho...</td>\n",
              "      <td>Menu/310943.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>48529</th>\n",
              "      <td>309376</td>\n",
              "      <td>Kwality Walls Frozen Dessert and Ice Cream Shop</td>\n",
              "      <td>Jasola,Delhi</td>\n",
              "      <td>4.9</td>\n",
              "      <td>500+ ratings</td>\n",
              "      <td>300.0</td>\n",
              "      <td>Ice Cream,Desserts</td>\n",
              "      <td>23320010001748</td>\n",
              "      <td>https://www.swiggy.com/restaurants/kwality-wal...</td>\n",
              "      <td>Kwality Walls Frozen Dessert and Ice Cream Sho...</td>\n",
              "      <td>Menu/309376.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>51467</th>\n",
              "      <td>217386</td>\n",
              "      <td>Blue Tokai Coffee Roasters</td>\n",
              "      <td>Greater Kailash 2,Delhi</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>800.0</td>\n",
              "      <td>Healthy Food,Pastas</td>\n",
              "      <td>13320010000144</td>\n",
              "      <td>https://www.swiggy.com/restaurants/blue-tokai-...</td>\n",
              "      <td>Blue Tokai Coffee Roasters, M-71, Ground Floor...</td>\n",
              "      <td>Menu/217386.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>64713</th>\n",
              "      <td>509023</td>\n",
              "      <td>Chhaswala</td>\n",
              "      <td>Gondal</td>\n",
              "      <td>4.9</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>150.0</td>\n",
              "      <td>Beverages</td>\n",
              "      <td>10721030000181</td>\n",
              "      <td>https://www.swiggy.com/restaurants/chhaswala-b...</td>\n",
              "      <td>Chhaswala, Shop no 18, Real prime, Bapa sitara...</td>\n",
              "      <td>Menu/509023.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>64719</th>\n",
              "      <td>459750</td>\n",
              "      <td>Anmol Bhel House</td>\n",
              "      <td>Gondal</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>100.0</td>\n",
              "      <td>Snacks</td>\n",
              "      <td>license</td>\n",
              "      <td>https://www.swiggy.com/restaurants/anmol-bhel-...</td>\n",
              "      <td>Anmol Bhel House, NEW NEHRU NAGAR, 80 FT MAIN ...</td>\n",
              "      <td>Menu/459750.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>64775</th>\n",
              "      <td>208823</td>\n",
              "      <td>Krishna Candy</td>\n",
              "      <td>Gondal</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>60.0</td>\n",
              "      <td>Desserts,Ice Cream</td>\n",
              "      <td>20717030000352</td>\n",
              "      <td>https://www.swiggy.com/restaurants/krishna-can...</td>\n",
              "      <td>Krishna Candy, 3-4, Silver Complex, Opp.Big Ba...</td>\n",
              "      <td>Menu/208823.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>67267</th>\n",
              "      <td>330540</td>\n",
              "      <td>Kwality Walls Frozen Dessert and Ice Cream Shop</td>\n",
              "      <td>Old Gurgaon (Zone 6),Gurgaon</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>300.0</td>\n",
              "      <td>Ice Cream</td>\n",
              "      <td>20820005003433</td>\n",
              "      <td>https://www.swiggy.com/restaurants/kwality-wal...</td>\n",
              "      <td>Kwality Walls Frozen Dessert and Ice Cream Sho...</td>\n",
              "      <td>Menu/330540.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>74743</th>\n",
              "      <td>259810</td>\n",
              "      <td>Govi's Organic Foods</td>\n",
              "      <td>Banjara Hills,Hyderabad</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>300.0</td>\n",
              "      <td>Sweets,Desserts</td>\n",
              "      <td>23621030001176</td>\n",
              "      <td>https://www.swiggy.com/restaurants/govis-organ...</td>\n",
              "      <td>Govi's Organic Foods, H.no. 6-3-609/170, anand...</td>\n",
              "      <td>Menu/259810.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80593</th>\n",
              "      <td>478227</td>\n",
              "      <td>A1 NAAN MAHAL</td>\n",
              "      <td>Tolichowki,Hyderabad</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>50.0</td>\n",
              "      <td>North Indian</td>\n",
              "      <td>23621031003717</td>\n",
              "      <td>https://www.swiggy.com/restaurants/a1-naan-mah...</td>\n",
              "      <td>A1 NAAN MAHAL, 8-1-31,VIRAT NAGAR,TOLICHOWKI,H...</td>\n",
              "      <td>Menu/478227.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83634</th>\n",
              "      <td>509057</td>\n",
              "      <td>Mahi Bakery</td>\n",
              "      <td>Manasarovar,Jaipur</td>\n",
              "      <td>4.9</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>300.0</td>\n",
              "      <td>Ice Cream,Beverages</td>\n",
              "      <td>22222046000956</td>\n",
              "      <td>https://www.swiggy.com/restaurants/mahi-bakery...</td>\n",
              "      <td>Mahi Bakery, 77/98 MANSAROVAR JAIPUR , Jaipur-...</td>\n",
              "      <td>Menu/509057.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83799</th>\n",
              "      <td>513786</td>\n",
              "      <td>Tony Bakery</td>\n",
              "      <td>Manasarovar,Jaipur</td>\n",
              "      <td>5.0</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>300.0</td>\n",
              "      <td>Biryani,Fast Food</td>\n",
              "      <td>license</td>\n",
              "      <td>https://www.swiggy.com/restaurants/tony-bakery...</td>\n",
              "      <td>Tony Bakery, 33b kharbas path shiv Vatika maga...</td>\n",
              "      <td>Menu/513786.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83813</th>\n",
              "      <td>512200</td>\n",
              "      <td>Aaradhya cafe and fast food</td>\n",
              "      <td>Manasarovar,Jaipur</td>\n",
              "      <td>4.9</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>300.0</td>\n",
              "      <td>Bakery,Fast Food</td>\n",
              "      <td>license</td>\n",
              "      <td>https://www.swiggy.com/restaurants/aaradhya-ca...</td>\n",
              "      <td>Aaradhya cafe and fast food, 51,luv kush nagar...</td>\n",
              "      <td>Menu/512200.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>87596</th>\n",
              "      <td>526984</td>\n",
              "      <td>SHRI KRISHNA FOOD ZONE</td>\n",
              "      <td>Katni</td>\n",
              "      <td>5.0</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>200.0</td>\n",
              "      <td>North Indian,Beverages</td>\n",
              "      <td>21422190000503</td>\n",
              "      <td>https://www.swiggy.com/restaurants/shri-krishn...</td>\n",
              "      <td>SHRI KRISHNA FOOD ZONE, VIVEKANAND CHOAK LAKHE...</td>\n",
              "      <td>Menu/526984.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88805</th>\n",
              "      <td>124943</td>\n",
              "      <td>Natural Ice Cream</td>\n",
              "      <td>Kolhapur</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>150.0</td>\n",
              "      <td>Ice Cream</td>\n",
              "      <td>11514042000499</td>\n",
              "      <td>https://www.swiggy.com/restaurants/natural-ice...</td>\n",
              "      <td>Natural Ice Cream, Atharva, 4th dimention , ne...</td>\n",
              "      <td>Menu/124943.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89603</th>\n",
              "      <td>120944</td>\n",
              "      <td>Mithai</td>\n",
              "      <td>South Kolkata,Kolkata</td>\n",
              "      <td>4.8</td>\n",
              "      <td>500+ ratings</td>\n",
              "      <td>100.0</td>\n",
              "      <td>Desserts</td>\n",
              "      <td>12812019001771</td>\n",
              "      <td>https://www.swiggy.com/restaurants/mithai-road...</td>\n",
              "      <td>Mithai, 18, Gariahat Road, Gariahat, Kolkata</td>\n",
              "      <td>Menu/120944.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89613</th>\n",
              "      <td>326540</td>\n",
              "      <td>Natural Ice Cream</td>\n",
              "      <td>South Kolkata,Kolkata</td>\n",
              "      <td>4.8</td>\n",
              "      <td>500+ ratings</td>\n",
              "      <td>150.0</td>\n",
              "      <td>Ice Cream</td>\n",
              "      <td>12820019002049</td>\n",
              "      <td>https://www.swiggy.com/restaurants/natural-ice...</td>\n",
              "      <td>Natural Ice Cream, P-563, LAKE ROAD(HEMANTA MU...</td>\n",
              "      <td>Menu/326540.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93947</th>\n",
              "      <td>37107</td>\n",
              "      <td>Natural Ice Cream</td>\n",
              "      <td>Central Kolkata,Kolkata</td>\n",
              "      <td>4.8</td>\n",
              "      <td>500+ ratings</td>\n",
              "      <td>150.0</td>\n",
              "      <td>Ice Cream</td>\n",
              "      <td>12818019005459</td>\n",
              "      <td>https://www.swiggy.com/restaurants/natural-ice...</td>\n",
              "      <td>Natural Ice Cream, Shop No 77/1A, Park Street,...</td>\n",
              "      <td>Menu/37107.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94854</th>\n",
              "      <td>386631</td>\n",
              "      <td>Grameen Kulfi</td>\n",
              "      <td>Behala,Kolkata</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>120.0</td>\n",
              "      <td>Ice Cream,Desserts</td>\n",
              "      <td>12821019001670</td>\n",
              "      <td>https://www.swiggy.com/restaurants/grameen-kul...</td>\n",
              "      <td>Grameen Kulfi, NIC NATURAL SHOP NO: 25/A, RAJA...</td>\n",
              "      <td>Menu/386631.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95769</th>\n",
              "      <td>61773</td>\n",
              "      <td>Pabrai's Fresh and Naturelle Ice Cream</td>\n",
              "      <td>Lake Town,Kolkata</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>300.0</td>\n",
              "      <td>Ice Cream</td>\n",
              "      <td>22818013002089</td>\n",
              "      <td>https://www.swiggy.com/restaurants/pabrais-fre...</td>\n",
              "      <td>Pabrai's Fresh and Naturelle Ice Cream, Shop 2...</td>\n",
              "      <td>Menu/61773.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>95973</th>\n",
              "      <td>510326</td>\n",
              "      <td>Kwality Walls Frozen Dessert and Ice Cream Shop</td>\n",
              "      <td>Dumdum,Kolkata</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>200.0</td>\n",
              "      <td>Ice Cream,Desserts</td>\n",
              "      <td>22822135000108</td>\n",
              "      <td>https://www.swiggy.com/restaurants/kwality-wal...</td>\n",
              "      <td>Kwality Walls Frozen Dessert and Ice Cream Sho...</td>\n",
              "      <td>Menu/510326.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96388</th>\n",
              "      <td>320887</td>\n",
              "      <td>Pabrai's Fresh And Naturelle Ice Cream - Jodhp...</td>\n",
              "      <td>Jadavpur,Kolkata</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>400.0</td>\n",
              "      <td>Ice Cream</td>\n",
              "      <td>12820019001330</td>\n",
              "      <td>https://www.swiggy.com/restaurants/pabrais-fre...</td>\n",
              "      <td>Pabrai's Fresh And Naturelle Ice Cream - Jodhp...</td>\n",
              "      <td>Menu/320887.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>96786</th>\n",
              "      <td>317332</td>\n",
              "      <td>MOMO CIRCLE</td>\n",
              "      <td>Jadavpur,Kolkata</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>200.0</td>\n",
              "      <td>Chinese</td>\n",
              "      <td>12820019001637</td>\n",
              "      <td>https://www.swiggy.com/restaurants/momo-circle...</td>\n",
              "      <td>MOMO CIRCLE, 15,N.S.C. BOSE ROAD,GROUND FLOOR,...</td>\n",
              "      <td>Menu/317332.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>102268</th>\n",
              "      <td>363536</td>\n",
              "      <td>Kwality Walls Frozen Dessert and Ice Cream Shop</td>\n",
              "      <td>Dugri,Ludhiana</td>\n",
              "      <td>4.9</td>\n",
              "      <td>500+ ratings</td>\n",
              "      <td>300.0</td>\n",
              "      <td>Ice Cream</td>\n",
              "      <td>22121026000229</td>\n",
              "      <td>https://www.swiggy.com/restaurants/kwality-wal...</td>\n",
              "      <td>Kwality Walls Frozen Dessert and Ice Cream Sho...</td>\n",
              "      <td>Menu/363536.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>103353</th>\n",
              "      <td>199911</td>\n",
              "      <td>Jain Tiffin Center</td>\n",
              "      <td>Mandsaur</td>\n",
              "      <td>4.9</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>150.0</td>\n",
              "      <td>North Indian,Beverages</td>\n",
              "      <td>21419750000765</td>\n",
              "      <td>https://www.swiggy.com/restaurants/jain-tiffin...</td>\n",
              "      <td>Jain Tiffin Center, Abhinandan colony, Mandsaur</td>\n",
              "      <td>Menu/199911.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>103833</th>\n",
              "      <td>367817</td>\n",
              "      <td>Grameen Kulfi</td>\n",
              "      <td>Mansa</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>120.0</td>\n",
              "      <td>Ice Cream,Desserts</td>\n",
              "      <td>12221027000424</td>\n",
              "      <td>https://www.swiggy.com/restaurants/grameen-kul...</td>\n",
              "      <td>Grameen Kulfi, NIC NATURAL ICECREAMS -PLOT NO ...</td>\n",
              "      <td>Menu/367817.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>105275</th>\n",
              "      <td>428825</td>\n",
              "      <td>CAFE 99</td>\n",
              "      <td>Muktsar</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>150.0</td>\n",
              "      <td>Fast Food,Italian</td>\n",
              "      <td>22121034000102</td>\n",
              "      <td>https://www.swiggy.com/restaurants/cafe-99-muk...</td>\n",
              "      <td>CAFE 99, MALL GODAM ROAD, NEAR PUNJAB AND SIND...</td>\n",
              "      <td>Menu/428825.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>107319</th>\n",
              "      <td>30897</td>\n",
              "      <td>Natural Ice Cream</td>\n",
              "      <td>Mahalaxmi Malabar Hill,Mumbai</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>150.0</td>\n",
              "      <td>Desserts</td>\n",
              "      <td>11519002000163</td>\n",
              "      <td>https://www.swiggy.com/restaurants/natural-ice...</td>\n",
              "      <td>Natural Ice Cream, 28/A, Happy Home CHS, Opp. ...</td>\n",
              "      <td>Menu/30897.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>107361</th>\n",
              "      <td>65688</td>\n",
              "      <td>Country of Origin</td>\n",
              "      <td>Mahalaxmi Malabar Hill,Mumbai</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>1100.0</td>\n",
              "      <td>Desserts</td>\n",
              "      <td>11519002000637</td>\n",
              "      <td>https://www.swiggy.com/restaurants/country-of-...</td>\n",
              "      <td>Country of Origin, 69 A, Nepean Sea Road, Mani...</td>\n",
              "      <td>Menu/65688.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>107855</th>\n",
              "      <td>351117</td>\n",
              "      <td>Grameen Kulfi</td>\n",
              "      <td>Vashi,Mumbai</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>120.0</td>\n",
              "      <td>Ice Cream,Desserts</td>\n",
              "      <td>11520016000363</td>\n",
              "      <td>https://www.swiggy.com/restaurants/grameen-kul...</td>\n",
              "      <td>Grameen Kulfi, Shop No-01, Room No-201, Ground...</td>\n",
              "      <td>Menu/351117.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>109597</th>\n",
              "      <td>57231</td>\n",
              "      <td>Blue Tokai Coffee Roasters</td>\n",
              "      <td>Scruz Bandra East,Mumbai</td>\n",
              "      <td>4.9</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>800.0</td>\n",
              "      <td>Healthy Food,American</td>\n",
              "      <td>11518005000881</td>\n",
              "      <td>https://www.swiggy.com/restaurants/blue-tokai-...</td>\n",
              "      <td>Blue Tokai Coffee Roasters, Ground Floor, Bloc...</td>\n",
              "      <td>Menu/57231.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>113710</th>\n",
              "      <td>100564</td>\n",
              "      <td>Shrikhandwala</td>\n",
              "      <td>Bajaj Nagar,Nagpur</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>200.0</td>\n",
              "      <td>Desserts,Sweets</td>\n",
              "      <td>21517259001927</td>\n",
              "      <td>https://www.swiggy.com/restaurants/shrikhandwa...</td>\n",
              "      <td>Shrikhandwala, Vitthal Rukhmini Complex, Upper...</td>\n",
              "      <td>Menu/100564.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>115498</th>\n",
              "      <td>355758</td>\n",
              "      <td>Grameen Kulfi</td>\n",
              "      <td>Nizamabad</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>120.0</td>\n",
              "      <td>Ice Cream,Desserts</td>\n",
              "      <td>13621009000307</td>\n",
              "      <td>https://www.swiggy.com/restaurants/grameen-kul...</td>\n",
              "      <td>Grameen Kulfi, H No. 11-1-1769/1 Maruti Nagar ...</td>\n",
              "      <td>Menu/355758.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>118207</th>\n",
              "      <td>84377</td>\n",
              "      <td>Baskin Robbins</td>\n",
              "      <td>North-goa</td>\n",
              "      <td>4.8</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>250.0</td>\n",
              "      <td>Ice Cream,Desserts</td>\n",
              "      <td>10614001000764</td>\n",
              "      <td>https://www.swiggy.com/restaurants/baskin-robb...</td>\n",
              "      <td>Baskin Robbins, Baskin Robbins, 1, Bharadwaj H...</td>\n",
              "      <td>Menu/84377.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>128372</th>\n",
              "      <td>352810</td>\n",
              "      <td>Grameen Kulfi</td>\n",
              "      <td>Hinjewadi,Pune</td>\n",
              "      <td>4.9</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>120.0</td>\n",
              "      <td>Ice Cream,Desserts</td>\n",
              "      <td>11522083000051</td>\n",
              "      <td>https://www.swiggy.com/restaurants/grameen-kul...</td>\n",
              "      <td>Grameen Kulfi, Nic Natural Ice Creams, Shop No...</td>\n",
              "      <td>Menu/352810.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>135613</th>\n",
              "      <td>467010</td>\n",
              "      <td>SUNSHINE SHAKE</td>\n",
              "      <td>Rohtak</td>\n",
              "      <td>4.9</td>\n",
              "      <td>500+ ratings</td>\n",
              "      <td>100.0</td>\n",
              "      <td>Beverages,Snacks</td>\n",
              "      <td>license</td>\n",
              "      <td>https://www.swiggy.com/restaurants/sunshine-sh...</td>\n",
              "      <td>SUNSHINE SHAKE, WH4X+PMX, Azad Garh, Rajendra ...</td>\n",
              "      <td>Menu/467010.json</td>\n",
              "    </tr>\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
              "  <div id=\"id_1062a779-f97d-42d5-9058-a08f927fcd7c\">\n",
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              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate: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-generate {\n",
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              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate: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",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('sub2')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('sub2');\n",
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              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "sub2",
              "summary": "{\n  \"name\": \"sub2\",\n  \"rows\": 43,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 157864,\n        \"min\": 30897,\n        \"max\": 537526,\n        \"num_unique_values\": 43,\n        \"samples\": [\n          57231,\n          37107,\n          386631\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 30,\n        \"samples\": [\n          \"Shrikhandwala\",\n          \"Tony Bakery\",\n          \"MOMO CIRCLE\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 36,\n        \"samples\": [\n          \"Rohtak\",\n          \"Banjara Hills,Hyderabad\",\n          \"Mansa\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.056572457679376534,\n        \"min\": 4.8,\n        \"max\": 5.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          4.8,\n          4.9,\n          5.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating_count\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"500+ ratings\",\n          \"100+ ratings\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cost\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 215.98947925651763,\n        \"min\": 50.0,\n        \"max\": 1100.0,\n        \"num_unique_values\": 14,\n        \"samples\": [\n          100.0,\n          120.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cuisine\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 23,\n        \"samples\": [\n          \"Bakery,Fast Food\",\n          \"Snacks\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"lic_no\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 40,\n        \"samples\": [\n          \"11514042000499\",\n          \"23621031003717\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"link\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 43,\n        \"samples\": [\n          \"https://www.swiggy.com/restaurants/blue-tokai-coffee-roasters-bandra-area-scruz-bandra-east-mumbai-57231\",\n          \"https://www.swiggy.com/restaurants/natural-ice-cream-park-street-taltala-kolkata-37107\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"address\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 43,\n        \"samples\": [\n          \"Blue Tokai Coffee Roasters, Ground Floor, Block G, Plot No. 30, Standard Chartered Building, Parinee Credenzo, Bandra Kurla Complex\",\n          \"Natural Ice Cream, Shop No 77/1A, Park Street,Kolkata\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"menu\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 43,\n        \"samples\": [\n          \"Menu/57231.json\",\n          \"Menu/37107.json\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sub2.city.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "D8AoxJhveB0V",
        "outputId": "199e07d8-3b7d-4b84-85d8-8f3d88988788"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "city\n",
              "Manasarovar,Jaipur               3\n",
              "Gondal                           3\n",
              "South Kolkata,Kolkata            2\n",
              "Jadavpur,Kolkata                 2\n",
              "Mahalaxmi Malabar Hill,Mumbai    2\n",
              "Mansa                            1\n",
              "Lake Town,Kolkata                1\n",
              "Dumdum,Kolkata                   1\n",
              "Dugri,Ludhiana                   1\n",
              "Mandsaur                         1\n",
              "Muktsar                          1\n",
              "Central Kolkata,Kolkata          1\n",
              "Vashi,Mumbai                     1\n",
              "Scruz Bandra East,Mumbai         1\n",
              "Bajaj Nagar,Nagpur               1\n",
              "Nizamabad                        1\n",
              "North-goa                        1\n",
              "Hinjewadi,Pune                   1\n",
              "Behala,Kolkata                   1\n",
              "Balurghat                        1\n",
              "Koramangala,Bangalore            1\n",
              "Kolhapur                         1\n",
              "Katni                            1\n",
              "Tolichowki,Hyderabad             1\n",
              "Banjara Hills,Hyderabad          1\n",
              "Old Gurgaon (Zone 6),Gurgaon     1\n",
              "Greater Kailash 2,Delhi          1\n",
              "Jasola,Delhi                     1\n",
              "Annanagar,Chennai                1\n",
              "Barnala                          1\n",
              "Basaveshwaranagar,Bangalore      1\n",
              "Whitefield,Bangalore             1\n",
              "Indiranagar,Bangalore            1\n",
              "Arekere,Bangalore                1\n",
              "JP Nagar,Bangalore               1\n",
              "Rohtak                           1\n",
              "Name: count, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### What is the cost distribution?"
      ],
      "metadata": {
        "id": "qyTqgO3By8Bv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.cost.sort_values(ascending = False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Up28uOqV3Tin",
        "outputId": "226da998-6c1d-4933-dc4a-8139be89f3e2"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "70762     300350.0\n",
              "21626       8000.0\n",
              "47552       6000.0\n",
              "47817       5023.0\n",
              "107779      5000.0\n",
              "            ...   \n",
              "94098          1.0\n",
              "109636         1.0\n",
              "121078         1.0\n",
              "148236         1.0\n",
              "43814          1.0\n",
              "Name: cost, Length: 148255, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.cost.plot();"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "KWp-K89-3fCq",
        "outputId": "f502eba4-e30b-48e6-b753-df5810fd2e6f"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "np.argmax(df['cost'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jCo8F_Mk3uWC",
        "outputId": "ea7e60df-82f5-4b48-8724-01de220ff580"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "70642"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.iloc[70642]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x9G3EheW3muB",
        "outputId": "bc8c4cf3-74f1-4e75-ca0d-31304432b8b9"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                                                         477718\n",
              "name                                               KOHINOOR HOTEL\n",
              "city                                                   Hinganghat\n",
              "rating                                                     -999.0\n",
              "rating_count                                      Too Few Ratings\n",
              "cost                                                     300350.0\n",
              "cuisine                                      North Indian,Chinese\n",
              "lic_no                                             21521269001428\n",
              "link            https://www.swiggy.com/restaurants/kohinoor-ho...\n",
              "address         KOHINOOR HOTEL, LIBOURY CHOWK TAKA GROUND NR-B...\n",
              "menu                                             Menu/477718.json\n",
              "Name: 70762, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.set_option('display.max_colwidth', None)\n",
        "df.iloc[70642]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IJrYpP7R37_q",
        "outputId": "26380440-dd25-40db-a4bc-53c2f887346e"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                                                                                           477718\n",
              "name                                                                                 KOHINOOR HOTEL\n",
              "city                                                                                     Hinganghat\n",
              "rating                                                                                       -999.0\n",
              "rating_count                                                                        Too Few Ratings\n",
              "cost                                                                                       300350.0\n",
              "cuisine                                                                        North Indian,Chinese\n",
              "lic_no                                                                               21521269001428\n",
              "link            https://www.swiggy.com/restaurants/kohinoor-hotel-hinganghat-city-hinganghat-477718\n",
              "address                            KOHINOOR HOTEL, LIBOURY CHOWK TAKA GROUND NR-BUS STOP HINGANGHAT\n",
              "menu                                                                               Menu/477718.json\n",
              "Name: 70762, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = df[df['id'] != 477718]"
      ],
      "metadata": {
        "id": "3qOuRRnr4uDW"
      },
      "execution_count": 37,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df['cost'].plot(kind='box');"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "L9mR3m4z4W4E",
        "outputId": "11eb786a-1dce-46e9-fcab-9dd74b11d1ff"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### What are the most expensive places?"
      ],
      "metadata": {
        "id": "LI_NIF7nz6Cp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.sort_values(by='cost', ascending = False).head(25)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "yp8nTFXP4Zij",
        "outputId": "bad25aa7-90b8-4967-f900-e5fee60e2897"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            id                            name  \\\n",
              "21626   456114                Oasis restaurant   \n",
              "47552   565958          VENOM CLUB AND KITCHEN   \n",
              "47817   524995            Aggarwal sweet india   \n",
              "107779  564511                SHAAN RESTAURANT   \n",
              "4930    579304       Rock N Shawarma Take Away   \n",
              "109414  369682        Ministry of Crab, Mumbai   \n",
              "23334   477654                     Olive Beach   \n",
              "76454   469411                      SRS HAVMOR   \n",
              "75847   471229                Sofra food court   \n",
              "93507   312816                            SKAI   \n",
              "74961   577851         THE KING STREET  BAKERS   \n",
              "70387   521165                   Shree Rathnam   \n",
              "43861   293932      KooX - Rooftop Asian Grill   \n",
              "145836  550751                   CHIKN N GRILL   \n",
              "53026   475991           Dilli Kanteen Kitchen   \n",
              "106368  294454    Gourmet Couch By ITC Maratha   \n",
              "13626   439995                     DFC KITCHEN   \n",
              "53027   472240  Cascades - The Grand New Delhi   \n",
              "108400  565948                  Mynt - Vivanta   \n",
              "93509   312817                        Serafina   \n",
              "46392   295876                          PICNIC   \n",
              "109914  479159                           WAKAI   \n",
              "108643  346365                          ZENMAI   \n",
              "107871  554963                     Shaba Cakes   \n",
              "117812   34873      United Coffee House Rewind   \n",
              "\n",
              "                                         city  rating     rating_count  \\\n",
              "21626               Electronic City,Bangalore  -999.0  Too Few Ratings   \n",
              "47552                   Hathibarkala,Dehradun  -999.0  Too Few Ratings   \n",
              "47817                         GTB Nagar,Delhi  -999.0  Too Few Ratings   \n",
              "107779                           Vashi,Mumbai  -999.0  Too Few Ratings   \n",
              "4930                                    Ajmer  -999.0  Too Few Ratings   \n",
              "109414               Scruz Bandra East,Mumbai  -999.0  Too Few Ratings   \n",
              "23334             Central Bangalore,Bangalore  -999.0  Too Few Ratings   \n",
              "76454                     Manikonda,Hyderabad  -999.0  Too Few Ratings   \n",
              "75847               Vanasthalipuram,Hyderabad  -999.0  Too Few Ratings   \n",
              "93507                 Central Kolkata,Kolkata  -999.0  Too Few Ratings   \n",
              "74961                 Banjara Hills,Hyderabad  -999.0  Too Few Ratings   \n",
              "70387                                   Hapur  -999.0  Too Few Ratings   \n",
              "43861                         T Nagar,Chennai     3.7      20+ ratings   \n",
              "145836  Benz Circle and Auto Nagar,Vijayawada  -999.0  Too Few Ratings   \n",
              "53026                       Vasant Kunj,Delhi  -999.0  Too Few Ratings   \n",
              "106368                           Powai,Mumbai     4.4      20+ ratings   \n",
              "13626                   Indiranagar,Bangalore  -999.0  Too Few Ratings   \n",
              "53027                       Vasant Kunj,Delhi  -999.0  Too Few Ratings   \n",
              "108400                           Vashi,Mumbai  -999.0  Too Few Ratings   \n",
              "93509                 Central Kolkata,Kolkata     4.3      20+ ratings   \n",
              "46392                                 Cuttack     4.0     100+ ratings   \n",
              "109914                     Fort Colaba,Mumbai  -999.0  Too Few Ratings   \n",
              "108643                     Bandra West,Mumbai  -999.0  Too Few Ratings   \n",
              "107871                           Vashi,Mumbai  -999.0  Too Few Ratings   \n",
              "117812                                Noida-1     4.1      20+ ratings   \n",
              "\n",
              "          cost                    cuisine          lic_no  \\\n",
              "21626   8000.0       Biryani,North Indian  21221010000753   \n",
              "47552   6000.0             Italian,Indian  12621005000488   \n",
              "47817   5023.0                    Chinese  23320002000105   \n",
              "107779  5000.0             Chinese,Indian  11522016000100   \n",
              "4930    3999.0                    Arabian  22221056000763   \n",
              "109414  3500.0         Sri Lankan,Seafood  11518006000877   \n",
              "23334   3500.0      Italian,Mediterranean  11218333000076   \n",
              "76454   3360.0           Ice Cream,Bakery  23621028003146   \n",
              "75847   3200.0            Arabian,Afghani  13621012001099   \n",
              "93507   3100.0             Asian,European  12818019006281   \n",
              "74961   3000.0              Bakery,Snacks  23622030001280   \n",
              "70387   3000.0  South Indian,North Indian  12718073000174   \n",
              "43861   3000.0              Pizzas,Pastas  12417002004275   \n",
              "145836  3000.0                      Grill  20122006001273   \n",
              "53026   3000.0      North Indian,European  10013011001265   \n",
              "106368  3000.0           Japanese,Mughlai  10012022000427   \n",
              "13626   3000.0                     Indian  21221190001305   \n",
              "53027   3000.0      North Indian,European  10013011001265   \n",
              "108400  2800.0               Indian,Asian  11522016000033   \n",
              "93509   2700.0             Italian,Pizzas  12816019000499   \n",
              "46392   2509.0        Indian,North Indian  22019034000834   \n",
              "109914  2500.0             Asian,Japanese  21521001000453   \n",
              "108643  2500.0         Pan-Asian,Japanese  21520025000082   \n",
              "107871  2500.0                     Bakery  21521074000675   \n",
              "117812  2500.0         Continental,Indian  12716055000363   \n",
              "\n",
              "                                                                                                           link  \\\n",
              "21626                      https://www.swiggy.com/restaurants/oasis-restaurant-electronic-city-bangalore-456114   \n",
              "47552            https://www.swiggy.com/restaurants/venom-club-and-kitchen-jakhan-hathi-barkala-dehradun-565958   \n",
              "47817                            https://www.swiggy.com/restaurants/aggarwal-sweet-india-gtb-nagar-delhi-524995   \n",
              "107779                                  https://www.swiggy.com/restaurants/shaan-restaurant-vashi-mumbai-564511   \n",
              "4930                      https://www.swiggy.com/restaurants/rock-n-shawarma-take-away-north-ajmer-ajmer-579304   \n",
              "109414           https://www.swiggy.com/restaurants/ministry-of-crab-mumbai-bkc-scruz-bandra-east-mumbai-369682   \n",
              "23334                    https://www.swiggy.com/restaurants/olive-beach-union-park-ashok-nagar-bangalore-477654   \n",
              "76454                               https://www.swiggy.com/restaurants/srs-havmor-nanakramguda-hyderabad-469411   \n",
              "75847                      https://www.swiggy.com/restaurants/sofra-food-court-vanasthalipuram-hyderabad-471229   \n",
              "93507                                    https://www.swiggy.com/restaurants/skai-central-kolkata-kolkata-312816   \n",
              "74961                  https://www.swiggy.com/restaurants/the-king-street-bakers-banjara-hills-hyderabad-577851   \n",
              "70387                                       https://www.swiggy.com/restaurants/shree-rathnam-hapur-hapur-521165   \n",
              "43861           https://www.swiggy.com/restaurants/koox-rooftop-asian-grill-city-centre-alwarpet-chennai-293932   \n",
              "145836            https://www.swiggy.com/restaurants/chikn-n-grill-benz-circle-and-auto-nagar-vijayawada-550751   \n",
              "53026                         https://www.swiggy.com/restaurants/dilli-kanteen-kitchen-vasant-kunj-delhi-475991   \n",
              "106368                 https://www.swiggy.com/restaurants/gourmet-couch-by-itc-maratha-area-powai-mumbai-294454   \n",
              "13626                               https://www.swiggy.com/restaurants/dfc-kitchen-indiranagar-bangalore-439995   \n",
              "53027                  https://www.swiggy.com/restaurants/cascades-the-grand-new-delhi-vasant-kunj-delhi-472240   \n",
              "108400                                      https://www.swiggy.com/restaurants/mynt-vivanta-vashi-mumbai-565948   \n",
              "93509                             https://www.swiggy.com/restaurants/serafina-central-ballygunge-kolkata-312817   \n",
              "46392                                 https://www.swiggy.com/restaurants/picnic-cda-cda-sector-8-cuttack-295876   \n",
              "109914                                       https://www.swiggy.com/restaurants/wakai-fort-colaba-mumbai-479159   \n",
              "108643                       https://www.swiggy.com/restaurants/zenmai-santacruz-west-bandra-west-mumbai-346365   \n",
              "107871                                       https://www.swiggy.com/restaurants/shaba-cakes-vashi-mumbai-554963   \n",
              "117812  https://www.swiggy.com/restaurants/united-coffee-house-rewind-dlf-mall-of-india-sector-18-noida-1-34873   \n",
              "\n",
              "                                                                                                                                                                                                         address  \\\n",
              "21626                                          Oasis restaurant, Neeladri Road, Karuna Nagar, Electronics City Phase 1, Karuna Nagar, Electronics City Phase 1, Doddathoguru, Bengaluru, Karnataka 560100, India   \n",
              "47552                                                   VENOM CLUB AND KITCHEN, 1st & 2nd Floor , 76/52 , Canal Road , Lane No : 3 , Dehradun , Uttarakhand , Dehradun Nagar Nigam, Dehradun, Uttarakhand-248001   \n",
              "47817                                                                                                                      Aggarwal sweet india, 199, Stadium Rd, Block A, Gujranwala Town, Delhi, 110009, India   \n",
              "107779                SHAAN RESTAURANT, SHOP NO. 1, G SQUARE BUSINESS PARK, PLOT NO. 25 & 26, SECTOR - 30, SANPADA, NAVI MUMBAI ,Turbhe Zone,Navi Mumbai Municipal Corporation (Thane Zone-3),Maharashtra-400705   \n",
              "4930                                                                 Rock N Shawarma Take Away, NEAR HINDUSTAN MACHINE TOOLS,  HANDI RESTURANT OPPT.HMT  OFFICE ,AJMER , Ajmer , Ajmer, Ajmer,  Rajasthan-305003   \n",
              "109414                                                                                                   Ministry of Crab, Mumbai, 442, Chitrakar Dhurandar Marg, 14th Rd, Khar West, Mumbai, Maharashtra 400052   \n",
              "23334                                                                                                                    Olive Beach, 16, Wood St, near Karnataka Bank, Ashok Nagar, Bengaluru, Karnataka 560025   \n",
              "76454                                                       SRS HAVMOR, H No: 9-5-1/B/2, Near Bhashyam Blooms School, One More Nagar, Ibrahimbagh, Narsingi, Hyderabad, Gandipet, Rangareddi, Telangana - 500031   \n",
              "75847                                                          Sofra food court, 5-5-708/8, Udayanandan Heights, Abhyudaya Nagar, Vanasthalipuram, L B NAGAR Circle No 4, Hyderabad  East Zone, Telangana-500070   \n",
              "93507                                                                                                                                      SKAI, 33, Syed Amir Ali Avenue, Quest Mall, 4th Floor, Kolkata-700017   \n",
              "74961                                                               THE KING STREET  BAKERS, 8-2-293/44, s.v nagar, banjara hills,  Hyderabad-500034, Jubilee Hills Circle No  18, Hyderabad, Telangana - 500034   \n",
              "70387                                                                                                              Shree Rathnam, ARJUN NAGAR GATE, OPP SSV INTER COLLEGE DELHI ROAD, NAGAR PALIKA ZONE 1, HAPUR   \n",
              "43861                                                         KooX - Rooftop Asian Grill, Novotel Chennai Chamiers Road, City Centre, Near Boat Club, &, Anna Salai, Nandanam, Chennai, Tamil Nadu 600035, India   \n",
              "145836                                                                                                                            CHIKN N GRILL, 56-2-14/1 , Vijayawada (Urban), Krishna,  Andhra Pradesh-520007   \n",
              "53026                                                                                                                      Dilli Kanteen Kitchen, Nelson Mandela Road,  Vasant Kunj Phase  II,  New Delhi 110070   \n",
              "106368                                                                       Gourmet Couch By ITC Maratha, ITC Maratha, Sahar Airport Road, Near International Airport, Andheri East, Mumbai, Maharashtra 400099   \n",
              "13626                                                                                                                                                           DFC KITCHEN, Domlur, Bengaluru, Karnataka, India   \n",
              "53027                                                                                                               Cascades - The Grand New Delhi, Nelson Mandela Road  Vasant Kunj Phase  II New Delhi  110070   \n",
              "108400                                            Mynt - Vivanta, VIVANTA - NAVI MUMBAI PLOT NO D-40/01, TTC INDUSTRIAL AREA , Turbhe Zone, Navi Mumbai Municipal Corporation (Thane Zone-3), Maharashtra-400705   \n",
              "93509                                                                                                                                   Serafina, 33, Syed Amir Ali Avenue, 5th Floor,Quest Mall, Kolkata-700017   \n",
              "46392                                                                                                                                                              PICNIC, PLOT NO-8-1GH-6C/03 SECTOR -8 CUTTACK   \n",
              "109914                          WAKAI, 3B, GRD FL,RAJA BAHADUR MANSION,PLOT NO 22 MUMBAI SAMACHAR MARG,STOCK EXCHANGE,FORT, MUMBAI, Colaba Market, Greater Mumbai Ward - A, Greater Mumbai, Maharashtra - 400001   \n",
              "108643                                                                                                                                             ZENMAI, Ground floor, Savoy Chambers,Next to ducati Showroom.   \n",
              "107871  Shaba Cakes, Shop No.3, Ganesh Tower, Shree Ramtanu Corporation, Plot No.98, Sector 21, Ghansoli, Navi Mumbai 400701, Ghansoli Zone, Navi Mumbai Muncipal Corporation(Thane Zone-2), Maharashtra-400701.   \n",
              "117812                                                                                                                                United Coffee House Rewind, 3rd Floor, DLF Mall of India, Sector 18, Noida   \n",
              "\n",
              "                    menu  \n",
              "21626   Menu/456114.json  \n",
              "47552   Menu/565958.json  \n",
              "47817   Menu/524995.json  \n",
              "107779  Menu/564511.json  \n",
              "4930    Menu/579304.json  \n",
              "109414  Menu/369682.json  \n",
              "23334   Menu/477654.json  \n",
              "76454   Menu/469411.json  \n",
              "75847   Menu/471229.json  \n",
              "93507   Menu/312816.json  \n",
              "74961   Menu/577851.json  \n",
              "70387   Menu/521165.json  \n",
              "43861   Menu/293932.json  \n",
              "145836  Menu/550751.json  \n",
              "53026   Menu/475991.json  \n",
              "106368  Menu/294454.json  \n",
              "13626   Menu/439995.json  \n",
              "53027   Menu/472240.json  \n",
              "108400  Menu/565948.json  \n",
              "93509   Menu/312817.json  \n",
              "46392   Menu/295876.json  \n",
              "109914  Menu/479159.json  \n",
              "108643  Menu/346365.json  \n",
              "107871  Menu/554963.json  \n",
              "117812   Menu/34873.json  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-16aee91e-d013-4de3-9959-c7564af885f6\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
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              "        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>id</th>\n",
              "      <th>name</th>\n",
              "      <th>city</th>\n",
              "      <th>rating</th>\n",
              "      <th>rating_count</th>\n",
              "      <th>cost</th>\n",
              "      <th>cuisine</th>\n",
              "      <th>lic_no</th>\n",
              "      <th>link</th>\n",
              "      <th>address</th>\n",
              "      <th>menu</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>21626</th>\n",
              "      <td>456114</td>\n",
              "      <td>Oasis restaurant</td>\n",
              "      <td>Electronic City,Bangalore</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>8000.0</td>\n",
              "      <td>Biryani,North Indian</td>\n",
              "      <td>21221010000753</td>\n",
              "      <td>https://www.swiggy.com/restaurants/oasis-restaurant-electronic-city-bangalore-456114</td>\n",
              "      <td>Oasis restaurant, Neeladri Road, Karuna Nagar, Electronics City Phase 1, Karuna Nagar, Electronics City Phase 1, Doddathoguru, Bengaluru, Karnataka 560100, India</td>\n",
              "      <td>Menu/456114.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47552</th>\n",
              "      <td>565958</td>\n",
              "      <td>VENOM CLUB AND KITCHEN</td>\n",
              "      <td>Hathibarkala,Dehradun</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>6000.0</td>\n",
              "      <td>Italian,Indian</td>\n",
              "      <td>12621005000488</td>\n",
              "      <td>https://www.swiggy.com/restaurants/venom-club-and-kitchen-jakhan-hathi-barkala-dehradun-565958</td>\n",
              "      <td>VENOM CLUB AND KITCHEN, 1st &amp; 2nd Floor , 76/52 , Canal Road , Lane No : 3 , Dehradun , Uttarakhand , Dehradun Nagar Nigam, Dehradun, Uttarakhand-248001</td>\n",
              "      <td>Menu/565958.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47817</th>\n",
              "      <td>524995</td>\n",
              "      <td>Aggarwal sweet india</td>\n",
              "      <td>GTB Nagar,Delhi</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>5023.0</td>\n",
              "      <td>Chinese</td>\n",
              "      <td>23320002000105</td>\n",
              "      <td>https://www.swiggy.com/restaurants/aggarwal-sweet-india-gtb-nagar-delhi-524995</td>\n",
              "      <td>Aggarwal sweet india, 199, Stadium Rd, Block A, Gujranwala Town, Delhi, 110009, India</td>\n",
              "      <td>Menu/524995.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>107779</th>\n",
              "      <td>564511</td>\n",
              "      <td>SHAAN RESTAURANT</td>\n",
              "      <td>Vashi,Mumbai</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>5000.0</td>\n",
              "      <td>Chinese,Indian</td>\n",
              "      <td>11522016000100</td>\n",
              "      <td>https://www.swiggy.com/restaurants/shaan-restaurant-vashi-mumbai-564511</td>\n",
              "      <td>SHAAN RESTAURANT, SHOP NO. 1, G SQUARE BUSINESS PARK, PLOT NO. 25 &amp; 26, SECTOR - 30, SANPADA, NAVI MUMBAI ,Turbhe Zone,Navi Mumbai Municipal Corporation (Thane Zone-3),Maharashtra-400705</td>\n",
              "      <td>Menu/564511.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4930</th>\n",
              "      <td>579304</td>\n",
              "      <td>Rock N Shawarma Take Away</td>\n",
              "      <td>Ajmer</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>3999.0</td>\n",
              "      <td>Arabian</td>\n",
              "      <td>22221056000763</td>\n",
              "      <td>https://www.swiggy.com/restaurants/rock-n-shawarma-take-away-north-ajmer-ajmer-579304</td>\n",
              "      <td>Rock N Shawarma Take Away, NEAR HINDUSTAN MACHINE TOOLS,  HANDI RESTURANT OPPT.HMT  OFFICE ,AJMER , Ajmer , Ajmer, Ajmer,  Rajasthan-305003</td>\n",
              "      <td>Menu/579304.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>109414</th>\n",
              "      <td>369682</td>\n",
              "      <td>Ministry of Crab, Mumbai</td>\n",
              "      <td>Scruz Bandra East,Mumbai</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>3500.0</td>\n",
              "      <td>Sri Lankan,Seafood</td>\n",
              "      <td>11518006000877</td>\n",
              "      <td>https://www.swiggy.com/restaurants/ministry-of-crab-mumbai-bkc-scruz-bandra-east-mumbai-369682</td>\n",
              "      <td>Ministry of Crab, Mumbai, 442, Chitrakar Dhurandar Marg, 14th Rd, Khar West, Mumbai, Maharashtra 400052</td>\n",
              "      <td>Menu/369682.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23334</th>\n",
              "      <td>477654</td>\n",
              "      <td>Olive Beach</td>\n",
              "      <td>Central Bangalore,Bangalore</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>3500.0</td>\n",
              "      <td>Italian,Mediterranean</td>\n",
              "      <td>11218333000076</td>\n",
              "      <td>https://www.swiggy.com/restaurants/olive-beach-union-park-ashok-nagar-bangalore-477654</td>\n",
              "      <td>Olive Beach, 16, Wood St, near Karnataka Bank, Ashok Nagar, Bengaluru, Karnataka 560025</td>\n",
              "      <td>Menu/477654.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76454</th>\n",
              "      <td>469411</td>\n",
              "      <td>SRS HAVMOR</td>\n",
              "      <td>Manikonda,Hyderabad</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>3360.0</td>\n",
              "      <td>Ice Cream,Bakery</td>\n",
              "      <td>23621028003146</td>\n",
              "      <td>https://www.swiggy.com/restaurants/srs-havmor-nanakramguda-hyderabad-469411</td>\n",
              "      <td>SRS HAVMOR, H No: 9-5-1/B/2, Near Bhashyam Blooms School, One More Nagar, Ibrahimbagh, Narsingi, Hyderabad, Gandipet, Rangareddi, Telangana - 500031</td>\n",
              "      <td>Menu/469411.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75847</th>\n",
              "      <td>471229</td>\n",
              "      <td>Sofra food court</td>\n",
              "      <td>Vanasthalipuram,Hyderabad</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>3200.0</td>\n",
              "      <td>Arabian,Afghani</td>\n",
              "      <td>13621012001099</td>\n",
              "      <td>https://www.swiggy.com/restaurants/sofra-food-court-vanasthalipuram-hyderabad-471229</td>\n",
              "      <td>Sofra food court, 5-5-708/8, Udayanandan Heights, Abhyudaya Nagar, Vanasthalipuram, L B NAGAR Circle No 4, Hyderabad  East Zone, Telangana-500070</td>\n",
              "      <td>Menu/471229.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93507</th>\n",
              "      <td>312816</td>\n",
              "      <td>SKAI</td>\n",
              "      <td>Central Kolkata,Kolkata</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>3100.0</td>\n",
              "      <td>Asian,European</td>\n",
              "      <td>12818019006281</td>\n",
              "      <td>https://www.swiggy.com/restaurants/skai-central-kolkata-kolkata-312816</td>\n",
              "      <td>SKAI, 33, Syed Amir Ali Avenue, Quest Mall, 4th Floor, Kolkata-700017</td>\n",
              "      <td>Menu/312816.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>74961</th>\n",
              "      <td>577851</td>\n",
              "      <td>THE KING STREET  BAKERS</td>\n",
              "      <td>Banjara Hills,Hyderabad</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>3000.0</td>\n",
              "      <td>Bakery,Snacks</td>\n",
              "      <td>23622030001280</td>\n",
              "      <td>https://www.swiggy.com/restaurants/the-king-street-bakers-banjara-hills-hyderabad-577851</td>\n",
              "      <td>THE KING STREET  BAKERS, 8-2-293/44, s.v nagar, banjara hills,  Hyderabad-500034, Jubilee Hills Circle No  18, Hyderabad, Telangana - 500034</td>\n",
              "      <td>Menu/577851.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>70387</th>\n",
              "      <td>521165</td>\n",
              "      <td>Shree Rathnam</td>\n",
              "      <td>Hapur</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>3000.0</td>\n",
              "      <td>South Indian,North Indian</td>\n",
              "      <td>12718073000174</td>\n",
              "      <td>https://www.swiggy.com/restaurants/shree-rathnam-hapur-hapur-521165</td>\n",
              "      <td>Shree Rathnam, ARJUN NAGAR GATE, OPP SSV INTER COLLEGE DELHI ROAD, NAGAR PALIKA ZONE 1, HAPUR</td>\n",
              "      <td>Menu/521165.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43861</th>\n",
              "      <td>293932</td>\n",
              "      <td>KooX - Rooftop Asian Grill</td>\n",
              "      <td>T Nagar,Chennai</td>\n",
              "      <td>3.7</td>\n",
              "      <td>20+ ratings</td>\n",
              "      <td>3000.0</td>\n",
              "      <td>Pizzas,Pastas</td>\n",
              "      <td>12417002004275</td>\n",
              "      <td>https://www.swiggy.com/restaurants/koox-rooftop-asian-grill-city-centre-alwarpet-chennai-293932</td>\n",
              "      <td>KooX - Rooftop Asian Grill, Novotel Chennai Chamiers Road, City Centre, Near Boat Club, &amp;, Anna Salai, Nandanam, Chennai, Tamil Nadu 600035, India</td>\n",
              "      <td>Menu/293932.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>145836</th>\n",
              "      <td>550751</td>\n",
              "      <td>CHIKN N GRILL</td>\n",
              "      <td>Benz Circle and Auto Nagar,Vijayawada</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>3000.0</td>\n",
              "      <td>Grill</td>\n",
              "      <td>20122006001273</td>\n",
              "      <td>https://www.swiggy.com/restaurants/chikn-n-grill-benz-circle-and-auto-nagar-vijayawada-550751</td>\n",
              "      <td>CHIKN N GRILL, 56-2-14/1 , Vijayawada (Urban), Krishna,  Andhra Pradesh-520007</td>\n",
              "      <td>Menu/550751.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53026</th>\n",
              "      <td>475991</td>\n",
              "      <td>Dilli Kanteen Kitchen</td>\n",
              "      <td>Vasant Kunj,Delhi</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>3000.0</td>\n",
              "      <td>North Indian,European</td>\n",
              "      <td>10013011001265</td>\n",
              "      <td>https://www.swiggy.com/restaurants/dilli-kanteen-kitchen-vasant-kunj-delhi-475991</td>\n",
              "      <td>Dilli Kanteen Kitchen, Nelson Mandela Road,  Vasant Kunj Phase  II,  New Delhi 110070</td>\n",
              "      <td>Menu/475991.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>106368</th>\n",
              "      <td>294454</td>\n",
              "      <td>Gourmet Couch By ITC Maratha</td>\n",
              "      <td>Powai,Mumbai</td>\n",
              "      <td>4.4</td>\n",
              "      <td>20+ ratings</td>\n",
              "      <td>3000.0</td>\n",
              "      <td>Japanese,Mughlai</td>\n",
              "      <td>10012022000427</td>\n",
              "      <td>https://www.swiggy.com/restaurants/gourmet-couch-by-itc-maratha-area-powai-mumbai-294454</td>\n",
              "      <td>Gourmet Couch By ITC Maratha, ITC Maratha, Sahar Airport Road, Near International Airport, Andheri East, Mumbai, Maharashtra 400099</td>\n",
              "      <td>Menu/294454.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13626</th>\n",
              "      <td>439995</td>\n",
              "      <td>DFC KITCHEN</td>\n",
              "      <td>Indiranagar,Bangalore</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>3000.0</td>\n",
              "      <td>Indian</td>\n",
              "      <td>21221190001305</td>\n",
              "      <td>https://www.swiggy.com/restaurants/dfc-kitchen-indiranagar-bangalore-439995</td>\n",
              "      <td>DFC KITCHEN, Domlur, Bengaluru, Karnataka, India</td>\n",
              "      <td>Menu/439995.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>53027</th>\n",
              "      <td>472240</td>\n",
              "      <td>Cascades - The Grand New Delhi</td>\n",
              "      <td>Vasant Kunj,Delhi</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>3000.0</td>\n",
              "      <td>North Indian,European</td>\n",
              "      <td>10013011001265</td>\n",
              "      <td>https://www.swiggy.com/restaurants/cascades-the-grand-new-delhi-vasant-kunj-delhi-472240</td>\n",
              "      <td>Cascades - The Grand New Delhi, Nelson Mandela Road  Vasant Kunj Phase  II New Delhi  110070</td>\n",
              "      <td>Menu/472240.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>108400</th>\n",
              "      <td>565948</td>\n",
              "      <td>Mynt - Vivanta</td>\n",
              "      <td>Vashi,Mumbai</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>2800.0</td>\n",
              "      <td>Indian,Asian</td>\n",
              "      <td>11522016000033</td>\n",
              "      <td>https://www.swiggy.com/restaurants/mynt-vivanta-vashi-mumbai-565948</td>\n",
              "      <td>Mynt - Vivanta, VIVANTA - NAVI MUMBAI PLOT NO D-40/01, TTC INDUSTRIAL AREA , Turbhe Zone, Navi Mumbai Municipal Corporation (Thane Zone-3), Maharashtra-400705</td>\n",
              "      <td>Menu/565948.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93509</th>\n",
              "      <td>312817</td>\n",
              "      <td>Serafina</td>\n",
              "      <td>Central Kolkata,Kolkata</td>\n",
              "      <td>4.3</td>\n",
              "      <td>20+ ratings</td>\n",
              "      <td>2700.0</td>\n",
              "      <td>Italian,Pizzas</td>\n",
              "      <td>12816019000499</td>\n",
              "      <td>https://www.swiggy.com/restaurants/serafina-central-ballygunge-kolkata-312817</td>\n",
              "      <td>Serafina, 33, Syed Amir Ali Avenue, 5th Floor,Quest Mall, Kolkata-700017</td>\n",
              "      <td>Menu/312817.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46392</th>\n",
              "      <td>295876</td>\n",
              "      <td>PICNIC</td>\n",
              "      <td>Cuttack</td>\n",
              "      <td>4.0</td>\n",
              "      <td>100+ ratings</td>\n",
              "      <td>2509.0</td>\n",
              "      <td>Indian,North Indian</td>\n",
              "      <td>22019034000834</td>\n",
              "      <td>https://www.swiggy.com/restaurants/picnic-cda-cda-sector-8-cuttack-295876</td>\n",
              "      <td>PICNIC, PLOT NO-8-1GH-6C/03 SECTOR -8 CUTTACK</td>\n",
              "      <td>Menu/295876.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>109914</th>\n",
              "      <td>479159</td>\n",
              "      <td>WAKAI</td>\n",
              "      <td>Fort Colaba,Mumbai</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>2500.0</td>\n",
              "      <td>Asian,Japanese</td>\n",
              "      <td>21521001000453</td>\n",
              "      <td>https://www.swiggy.com/restaurants/wakai-fort-colaba-mumbai-479159</td>\n",
              "      <td>WAKAI, 3B, GRD FL,RAJA BAHADUR MANSION,PLOT NO 22 MUMBAI SAMACHAR MARG,STOCK EXCHANGE,FORT, MUMBAI, Colaba Market, Greater Mumbai Ward - A, Greater Mumbai, Maharashtra - 400001</td>\n",
              "      <td>Menu/479159.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>108643</th>\n",
              "      <td>346365</td>\n",
              "      <td>ZENMAI</td>\n",
              "      <td>Bandra West,Mumbai</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>2500.0</td>\n",
              "      <td>Pan-Asian,Japanese</td>\n",
              "      <td>21520025000082</td>\n",
              "      <td>https://www.swiggy.com/restaurants/zenmai-santacruz-west-bandra-west-mumbai-346365</td>\n",
              "      <td>ZENMAI, Ground floor, Savoy Chambers,Next to ducati Showroom.</td>\n",
              "      <td>Menu/346365.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>107871</th>\n",
              "      <td>554963</td>\n",
              "      <td>Shaba Cakes</td>\n",
              "      <td>Vashi,Mumbai</td>\n",
              "      <td>-999.0</td>\n",
              "      <td>Too Few Ratings</td>\n",
              "      <td>2500.0</td>\n",
              "      <td>Bakery</td>\n",
              "      <td>21521074000675</td>\n",
              "      <td>https://www.swiggy.com/restaurants/shaba-cakes-vashi-mumbai-554963</td>\n",
              "      <td>Shaba Cakes, Shop No.3, Ganesh Tower, Shree Ramtanu Corporation, Plot No.98, Sector 21, Ghansoli, Navi Mumbai 400701, Ghansoli Zone, Navi Mumbai Muncipal Corporation(Thane Zone-2), Maharashtra-400701.</td>\n",
              "      <td>Menu/554963.json</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>117812</th>\n",
              "      <td>34873</td>\n",
              "      <td>United Coffee House Rewind</td>\n",
              "      <td>Noida-1</td>\n",
              "      <td>4.1</td>\n",
              "      <td>20+ ratings</td>\n",
              "      <td>2500.0</td>\n",
              "      <td>Continental,Indian</td>\n",
              "      <td>12716055000363</td>\n",
              "      <td>https://www.swiggy.com/restaurants/united-coffee-house-rewind-dlf-mall-of-india-sector-18-noida-1-34873</td>\n",
              "      <td>United Coffee House Rewind, 3rd Floor, DLF Mall of India, Sector 18, Noida</td>\n",
              "      <td>Menu/34873.json</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
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              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 25,\n  \"fields\": [\n    {\n      \"column\": \"id\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 130032,\n        \"min\": 34873,\n        \"max\": 579304,\n        \"num_unique_values\": 25,\n        \"samples\": [\n          471229,\n          439995,\n          456114\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"name\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 25,\n        \"samples\": [\n          \"Sofra food court\",\n          \"DFC KITCHEN\",\n          \"Oasis restaurant\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 21,\n        \"samples\": [\n          \"Electronic City,Bangalore\",\n          \"Cuttack\",\n          \"Powai,Mumbai\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 409.5138754262994,\n        \"min\": -999.0,\n        \"max\": 4.4,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          -999.0,\n          3.7,\n          4.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rating_count\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Too Few Ratings\",\n          \"20+ ratings\",\n          \"100+ ratings\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cost\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1285.723398195221,\n        \"min\": 2500.0,\n        \"max\": 8000.0,\n        \"num_unique_values\": 14,\n        \"samples\": [\n          3000.0,\n          2700.0,\n          8000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cuisine\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 24,\n        \"samples\": [\n          \"Arabian,Afghani\",\n          \"Indian\",\n          \"Biryani,North Indian\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"lic_no\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 24,\n        \"samples\": [\n          \"13621012001099\",\n          \"21221190001305\",\n          \"21221010000753\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"link\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 25,\n        \"samples\": [\n          \"https://www.swiggy.com/restaurants/sofra-food-court-vanasthalipuram-hyderabad-471229\",\n          \"https://www.swiggy.com/restaurants/dfc-kitchen-indiranagar-bangalore-439995\",\n          \"https://www.swiggy.com/restaurants/oasis-restaurant-electronic-city-bangalore-456114\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"address\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 25,\n        \"samples\": [\n          \"Sofra food court, 5-5-708/8, Udayanandan Heights, Abhyudaya Nagar, Vanasthalipuram, L B NAGAR Circle No 4, Hyderabad  East Zone, Telangana-500070\",\n          \"DFC KITCHEN, Domlur, Bengaluru, Karnataka, India\",\n          \"Oasis restaurant, Neeladri Road, Karuna Nagar, Electronics City Phase 1, Karuna Nagar, Electronics City Phase 1, Doddathoguru, Bengaluru, Karnataka 560100, India\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"menu\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 25,\n        \"samples\": [\n          \"Menu/471229.json\",\n          \"Menu/439995.json\",\n          \"Menu/456114.json\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#### What are the most cuisine types?"
      ],
      "metadata": {
        "id": "7_oJ5gTK0FOH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sub3 = df[df['rating'] > 3.5]\n",
        "len(sub3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jXVK2UWm0IaD",
        "outputId": "1c0b31d0-5776-4fb4-d143-5080f9e052df"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "49560"
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sub3.cuisine.nunique()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-jsdbet10VsN",
        "outputId": "5b73a22c-3ad4-40be-d8b7-c20d452b6294"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1530"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sub3.cuisine.value_counts(ascending = False)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yLMw4MBf0eJ2",
        "outputId": "ea4a34a6-28f4-4c77-f49f-745d86fcac4b"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "cuisine\n",
              "North Indian,Chinese     2191\n",
              "South Indian             1439\n",
              "Indian                   1412\n",
              "Indian,Chinese           1389\n",
              "North Indian             1372\n",
              "                         ... \n",
              "Awadhi,Lucknowi             1\n",
              "Thalis,Tandoor              1\n",
              "Persian,Arabian             1\n",
              "Indian,Kashmiri             1\n",
              "South American,Andhra       1\n",
              "Name: count, Length: 1530, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Another way of doing the same thing\n",
        "cuisine_list = sub3.cuisine.tolist()\n",
        "len(cuisine_list)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jfJCLxk-0jdW",
        "outputId": "a51cdb5b-33ad-489f-9f45-97574f6d1a0d"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "49560"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "split_cuisine_list = [y.lower() for x in cuisine_list for y in x.split(',')]\n",
        "len(split_cuisine_list)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LQVMJiSQ0xCw",
        "outputId": "25298715-a50e-451c-ea25-8221f4229817"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "87645"
            ]
          },
          "metadata": {},
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sample_cuisine_list = cuisine_list[:10]\n",
        "sample_cuisine_list"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Z7twZOiqbyYB",
        "outputId": "315f5b92-7521-4ac4-fcc5-1d3c9668629b"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Sweets,Bakery',\n",
              " 'Beverages',\n",
              " 'Fast Food,Indian',\n",
              " 'Continental',\n",
              " 'North Indian',\n",
              " 'Snacks,Chaat',\n",
              " 'Sweets,Desserts',\n",
              " 'Indian',\n",
              " 'Fast Food',\n",
              " 'Fast Food,Chinese']"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cuisine_frequency = Counter(split_cuisine_list)"
      ],
      "metadata": {
        "id": "JtvSPSb41YNy"
      },
      "execution_count": 46,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cuisine_frequency"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "P2dHsoUcbAvC",
        "outputId": "2dd028a0-25b7-4a7b-8142-db91f1091eb3"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Counter({'sweets': 1420,\n",
              "         'bakery': 2887,\n",
              "         'beverages': 4500,\n",
              "         'fast food': 3094,\n",
              "         'indian': 6427,\n",
              "         'continental': 1610,\n",
              "         'north indian': 11584,\n",
              "         'snacks': 4108,\n",
              "         'chaat': 521,\n",
              "         'desserts': 5555,\n",
              "         'chinese': 10680,\n",
              "         'mughlai': 1391,\n",
              "         'pizzas': 3067,\n",
              "         'biryani': 4771,\n",
              "         'south indian': 5357,\n",
              "         'american': 1839,\n",
              "         'street food': 594,\n",
              "         'tandoor': 729,\n",
              "         'nepalese': 23,\n",
              "         'ice cream': 2783,\n",
              "         'bengali': 464,\n",
              "         'italian': 1912,\n",
              "         'pastas': 372,\n",
              "         'hyderabadi': 333,\n",
              "         'waffle': 75,\n",
              "         'burgers': 348,\n",
              "         'tibetan': 408,\n",
              "         'lucknowi': 19,\n",
              "         'thalis': 477,\n",
              "         'kebabs': 327,\n",
              "         'asian': 717,\n",
              "         'thai': 399,\n",
              "         'north eastern': 16,\n",
              "         'seafood': 308,\n",
              "         'punjabi': 1044,\n",
              "         'barbecue': 316,\n",
              "         'mexican': 391,\n",
              "         'healthy food': 1035,\n",
              "         'salads': 535,\n",
              "         'maharashtrian': 329,\n",
              "         'gujarati': 167,\n",
              "         'ice cream cakes': 37,\n",
              "         'juices': 524,\n",
              "         'combo': 212,\n",
              "         'pan-asian': 245,\n",
              "         'cafe': 55,\n",
              "         'middle eastern': 41,\n",
              "         'mediterranean': 47,\n",
              "         'japanese': 110,\n",
              "         'burmese': 32,\n",
              "         'oriental': 60,\n",
              "         'grill': 121,\n",
              "         'rajasthani': 91,\n",
              "         'italian-american': 109,\n",
              "         'kerala': 307,\n",
              "         'sushi': 48,\n",
              "         'lebanese': 265,\n",
              "         'jain': 42,\n",
              "         'arabian': 880,\n",
              "         'greek': 4,\n",
              "         'afghani': 46,\n",
              "         'home food': 243,\n",
              "         'andhra': 352,\n",
              "         'chettinad': 187,\n",
              "         'coastal': 43,\n",
              "         'turkish': 25,\n",
              "         'portuguese': 12,\n",
              "         'african': 11,\n",
              "         'mangalorean': 33,\n",
              "         'paan': 39,\n",
              "         'british': 9,\n",
              "         'keto': 57,\n",
              "         'naga': 18,\n",
              "         'oriya': 17,\n",
              "         'assamese': 17,\n",
              "         'european': 95,\n",
              "         'french': 20,\n",
              "         'malaysian': 10,\n",
              "         'korean': 22,\n",
              "         'bihari': 23,\n",
              "         'steakhouse': 7,\n",
              "         'indonesian': 6,\n",
              "         'vietnamese': 6,\n",
              "         'kashmiri': 7,\n",
              "         'singaporean': 8,\n",
              "         'attractive combos available': 1,\n",
              "         'haleem': 8,\n",
              "         'persian': 3,\n",
              "         'konkan': 3,\n",
              "         'tex-mex': 3,\n",
              "         'bangladeshi': 16,\n",
              "         'german': 5,\n",
              "         'parsi': 10,\n",
              "         'goan': 55,\n",
              "         'spanish': 5,\n",
              "         'awadhi': 14,\n",
              "         'sindhi': 5,\n",
              "         'code valid on bill over rs.99': 1,\n",
              "         'svanidhi street food vendor': 1,\n",
              "         'australian': 1,\n",
              "         'navratri special': 1,\n",
              "         'tribal': 2,\n",
              "         'rayalaseema': 6,\n",
              "         'telangana': 2,\n",
              "         'south american': 3,\n",
              "         'bhutanese': 1,\n",
              "         'malwani': 19,\n",
              "         'discount offer from garden cafe express kankurgachi': 1,\n",
              "         'use code xpress121 to avail.': 1,\n",
              "         'special discount from (hotel swagath)': 1,\n",
              "         'tandoor ': 1,\n",
              "         'khasi': 1})"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cuisine_frequency.most_common()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5kGD4ji52UYl",
        "outputId": "340d7430-1a99-42e3-a2c5-185b10121cf3"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('north indian', 11584),\n",
              " ('chinese', 10680),\n",
              " ('indian', 6427),\n",
              " ('desserts', 5555),\n",
              " ('south indian', 5357),\n",
              " ('biryani', 4771),\n",
              " ('beverages', 4500),\n",
              " ('snacks', 4108),\n",
              " ('fast food', 3094),\n",
              " ('pizzas', 3067),\n",
              " ('bakery', 2887),\n",
              " ('ice cream', 2783),\n",
              " ('italian', 1912),\n",
              " ('american', 1839),\n",
              " ('continental', 1610),\n",
              " ('sweets', 1420),\n",
              " ('mughlai', 1391),\n",
              " ('punjabi', 1044),\n",
              " ('healthy food', 1035),\n",
              " ('arabian', 880),\n",
              " ('tandoor', 729),\n",
              " ('asian', 717),\n",
              " ('street food', 594),\n",
              " ('salads', 535),\n",
              " ('juices', 524),\n",
              " ('chaat', 521),\n",
              " ('thalis', 477),\n",
              " ('bengali', 464),\n",
              " ('tibetan', 408),\n",
              " ('thai', 399),\n",
              " ('mexican', 391),\n",
              " ('pastas', 372),\n",
              " ('andhra', 352),\n",
              " ('burgers', 348),\n",
              " ('hyderabadi', 333),\n",
              " ('maharashtrian', 329),\n",
              " ('kebabs', 327),\n",
              " ('barbecue', 316),\n",
              " ('seafood', 308),\n",
              " ('kerala', 307),\n",
              " ('lebanese', 265),\n",
              " ('pan-asian', 245),\n",
              " ('home food', 243),\n",
              " ('combo', 212),\n",
              " ('chettinad', 187),\n",
              " ('gujarati', 167),\n",
              " ('grill', 121),\n",
              " ('japanese', 110),\n",
              " ('italian-american', 109),\n",
              " ('european', 95),\n",
              " ('rajasthani', 91),\n",
              " ('waffle', 75),\n",
              " ('oriental', 60),\n",
              " ('keto', 57),\n",
              " ('cafe', 55),\n",
              " ('goan', 55),\n",
              " ('sushi', 48),\n",
              " ('mediterranean', 47),\n",
              " ('afghani', 46),\n",
              " ('coastal', 43),\n",
              " ('jain', 42),\n",
              " ('middle eastern', 41),\n",
              " ('paan', 39),\n",
              " ('ice cream cakes', 37),\n",
              " ('mangalorean', 33),\n",
              " ('burmese', 32),\n",
              " ('turkish', 25),\n",
              " ('nepalese', 23),\n",
              " ('bihari', 23),\n",
              " ('korean', 22),\n",
              " ('french', 20),\n",
              " ('lucknowi', 19),\n",
              " ('malwani', 19),\n",
              " ('naga', 18),\n",
              " ('oriya', 17),\n",
              " ('assamese', 17),\n",
              " ('north eastern', 16),\n",
              " ('bangladeshi', 16),\n",
              " ('awadhi', 14),\n",
              " ('portuguese', 12),\n",
              " ('african', 11),\n",
              " ('malaysian', 10),\n",
              " ('parsi', 10),\n",
              " ('british', 9),\n",
              " ('singaporean', 8),\n",
              " ('haleem', 8),\n",
              " ('steakhouse', 7),\n",
              " ('kashmiri', 7),\n",
              " ('indonesian', 6),\n",
              " ('vietnamese', 6),\n",
              " ('rayalaseema', 6),\n",
              " ('german', 5),\n",
              " ('spanish', 5),\n",
              " ('sindhi', 5),\n",
              " ('greek', 4),\n",
              " ('persian', 3),\n",
              " ('konkan', 3),\n",
              " ('tex-mex', 3),\n",
              " ('south american', 3),\n",
              " ('tribal', 2),\n",
              " ('telangana', 2),\n",
              " ('attractive combos available', 1),\n",
              " ('code valid on bill over rs.99', 1),\n",
              " ('svanidhi street food vendor', 1),\n",
              " ('australian', 1),\n",
              " ('navratri special', 1),\n",
              " ('bhutanese', 1),\n",
              " ('discount offer from garden cafe express kankurgachi', 1),\n",
              " ('use code xpress121 to avail.', 1),\n",
              " ('special discount from (hotel swagath)', 1),\n",
              " ('tandoor ', 1),\n",
              " ('khasi', 1)]"
            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "dtMWap4QBSDf"
      },
      "execution_count": 48,
      "outputs": []
    }
  ]
}