Assignment_1.ipynb

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        "<a href=\"https://colab.research.google.com/github/Khushi-Pushkar/KhushiPushkar_ECEAI_Assignment1/blob/main/Assignment_1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "\n",
        "# EDA\n",
        "**Hi everyone, This is your first assignment for week 1... So in this assignment you have to perform EDA on the below dataset. The problem statements are given below. Just write a code for them...**"
      ],
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      "execution_count": 66,
      "metadata": {
        "id": "DN1-AX-pydTv"
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      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import numpy as np\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 67,
      "metadata": {
        "id": "MC89QfHwiMFp"
      },
      "outputs": [],
      "source": [
        "path=\"/content/drive/MyDrive/KhushiPushkar.Ece-ai/TABLE.zip\""
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data=pd.read_csv(path)"
      ],
      "metadata": {
        "id": "wY9O7fD6ymbn"
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      "execution_count": 68,
      "outputs": []
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      "cell_type": "code",
      "source": [
        "df=pd.DataFrame(data)"
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        "id": "a3f1_s_LzPTS"
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      "outputs": []
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      "outputs": [
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             Restaurant_Name  \\\n",
              "0                   Rustom's   \n",
              "1                  Cafe Lota   \n",
              "2     Dum-Pukht - ITC Maurya   \n",
              "3                Burma Burma   \n",
              "4              The Big Chill   \n",
              "...                      ...   \n",
              "1960          Bablu Chic-Inn   \n",
              "1961               Kovilakam   \n",
              "1962        Krips Restaurant   \n",
              "1963                Cafe 147   \n",
              "1964                Pizzasia   \n",
              "\n",
              "                                               Category  Pricing_for_2  \\\n",
              "0     Parsi, Street Food, North Indian, Desserts, Be...           2100   \n",
              "1           Cafe, South Indian, North Indian, Beverages           1200   \n",
              "2                       Mughlai, North Indian, Desserts           5000   \n",
              "3           Asian, Burmese, Bubble Tea, Desserts, Salad           1600   \n",
              "4                        Continental, American, Italian           1500   \n",
              "...                                                 ...            ...   \n",
              "1960          Mughlai, North Indian, Chinese, Fast Food            500   \n",
              "1961                                       South Indian            350   \n",
              "1962                     North Indian, Chinese, Mughlai            900   \n",
              "1963  Cafe, North Indian, Chinese, Kashmiri, Rolls, ...            800   \n",
              "1964                        Pizza, Fast Food, Beverages            500   \n",
              "\n",
              "                                         Locality  Dining_Rating  \\\n",
              "0                                  ITO, New Delhi            4.9   \n",
              "1                       Pragati Maidan, New Delhi            4.9   \n",
              "2             ITC Maurya, Chanakyapuri, New Delhi            4.9   \n",
              "3              Cyber Hub, DLF Cyber City, Gurgaon            4.9   \n",
              "4                          Khan Market, New Delhi            4.9   \n",
              "...                                           ...            ...   \n",
              "1960               Ashok Vihar Phase 3, New Delhi            3.9   \n",
              "1961                    Dilshad Garden, New Delhi            3.9   \n",
              "1962   Basant Lok Market, Vasant Vihar, New Delhi            3.9   \n",
              "1963                      Sainik Farms, New Delhi            3.9   \n",
              "1964                   Gaur City 2, Greater Noida            3.9   \n",
              "\n",
              "      Dining_Review_Count  Delivery_Rating  Delivery_Rating_Count  \\\n",
              "0                    1885              4.4                   1844   \n",
              "1                    3748              3.9                     37   \n",
              "2                    1371              NaN                      0   \n",
              "3                    2636              4.4                   1238   \n",
              "4                    6487              NaN                      0   \n",
              "...                   ...              ...                    ...   \n",
              "1960                  183              4.1                    545   \n",
              "1961                  114              NaN                      1   \n",
              "1962                  316              3.9                   2977   \n",
              "1963                  120              3.8                    196   \n",
              "1964                  165              3.9                   5196   \n",
              "\n",
              "                                                Website  \\\n",
              "0      https://www.zomato.com/ncr/rustoms-ito-new-delhi   \n",
              "1     https://www.zomato.com/ncr/cafe-lota-pragati-m...   \n",
              "2     https://www.zomato.com/ncr/dum-pukht-itc-maury...   \n",
              "3     https://www.zomato.com/ncr/burma-burma-dlf-cyb...   \n",
              "4     https://www.zomato.com/ncr/the-big-chill-khan-...   \n",
              "...                                                 ...   \n",
              "1960  https://www.zomato.com/ncr/bablu-chic-inn-asho...   \n",
              "1961  https://www.zomato.com/ncr/kovilakam-dilshad-g...   \n",
              "1962  https://www.zomato.com/ncr/krips-restaurant-va...   \n",
              "1963  https://www.zomato.com/ncr/cafe-147-sainik-far...   \n",
              "1964  https://www.zomato.com/ncr/pizzasia-gaur-city-...   \n",
              "\n",
              "                                                Address     Phone_No  \\\n",
              "0     Delhi Parsi Anjuman, LNJP Colony, Bahadur Shah...   9.1991E+11   \n",
              "1     National Crafts Museum, Gate 2, Bhairon Marg, ...  9.17839E+11   \n",
              "2                   ITC Maurya, Chanakyapuri, New Delhi  9.11146E+11   \n",
              "3     Shop 6, Ground Floor, Building 8, Tower C, Cyb...  9.11244E+11   \n",
              "4                          68-A, Khan Market, New Delhi  9.11142E+11   \n",
              "...                                                 ...          ...   \n",
              "1960  Shop 9, Pocket B, DDA Market, Ashok Vihar Phas...      9.2E+11   \n",
              "1961  F-1, Lower Ground 2, Mrignaini Chowk, Dilshad ...  9.19654E+11   \n",
              "1962  59, Community Centre, Basant Lok Market, Vasan...  9.11141E+11   \n",
              "1963  Shop A1/7, Ground Floor, Main IGNOU Road, Neb ...  9.19812E+11   \n",
              "1964  Shop 14, Ground Floor, Bhawishya India Tower, ...  9.18861E+11   \n",
              "\n",
              "       Latitude  Longitude                                         Known_For2  \\\n",
              "0     28.638167  77.240472                                                NaN   \n",
              "1     28.613429  77.242471  Pondicherry Fish Curry, Coconut Rabdi, Sabudan...   \n",
              "2     28.598200  77.173661  Royal ambiance and Mughlai cuisine, also recei...   \n",
              "3     28.494464  77.088532  Coconut Milk Dessert, Honey Caviar, Kaffir Lim...   \n",
              "4     28.600350  77.227493  Irish Cream Tiramisu, Penne Vodka, Mississippi...   \n",
              "...         ...        ...                                                ...   \n",
              "1960  28.692473  77.178004  Great Recommendations, Tamper Proof Packaging,...   \n",
              "1961  28.684101  77.326725  Kerala Parotta, Roasted Chicken, Chicken Curry...   \n",
              "1962  28.557310  77.163943  Excellent Food, Good Ambience, Courteous Staff...   \n",
              "1963  28.510338  77.202056  Pool, Live Music, Cafe, Environment, Good Plac...   \n",
              "1964  28.618250  77.427417  Cordial Staff, Great Recommendations, Mouth Wa...   \n",
              "\n",
              "                                            Known_For22  \n",
              "0                                                   NaN  \n",
              "1     Artistic Decor, The Service, Natural Ambience,...  \n",
              "2                                                   NaN  \n",
              "3     Knowledgeable Staff, Authentic, Soothing Ambie...  \n",
              "4     Retro Ambience, Yummy Desserts, Big Portions, ...  \n",
              "...                                                 ...  \n",
              "1960                                                NaN  \n",
              "1961  Lip Smacking Food, Amazing Food, Owner, Good P...  \n",
              "1962                                                NaN  \n",
              "1963                                                NaN  \n",
              "1964                                                NaN  \n",
              "\n",
              "[1965 rows x 15 columns]"
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Restaurant_Name</th>\n",
              "      <th>Category</th>\n",
              "      <th>Pricing_for_2</th>\n",
              "      <th>Locality</th>\n",
              "      <th>Dining_Rating</th>\n",
              "      <th>Dining_Review_Count</th>\n",
              "      <th>Delivery_Rating</th>\n",
              "      <th>Delivery_Rating_Count</th>\n",
              "      <th>Website</th>\n",
              "      <th>Address</th>\n",
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              "      <th>Known_For22</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Rustom's</td>\n",
              "      <td>Parsi, Street Food, North Indian, Desserts, Be...</td>\n",
              "      <td>2100</td>\n",
              "      <td>ITO, New Delhi</td>\n",
              "      <td>4.9</td>\n",
              "      <td>1885</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1844</td>\n",
              "      <td>https://www.zomato.com/ncr/rustoms-ito-new-delhi</td>\n",
              "      <td>Delhi Parsi Anjuman, LNJP Colony, Bahadur Shah...</td>\n",
              "      <td>9.1991E+11</td>\n",
              "      <td>28.638167</td>\n",
              "      <td>77.240472</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Cafe Lota</td>\n",
              "      <td>Cafe, South Indian, North Indian, Beverages</td>\n",
              "      <td>1200</td>\n",
              "      <td>Pragati Maidan, New Delhi</td>\n",
              "      <td>4.9</td>\n",
              "      <td>3748</td>\n",
              "      <td>3.9</td>\n",
              "      <td>37</td>\n",
              "      <td>https://www.zomato.com/ncr/cafe-lota-pragati-m...</td>\n",
              "      <td>National Crafts Museum, Gate 2, Bhairon Marg, ...</td>\n",
              "      <td>9.17839E+11</td>\n",
              "      <td>28.613429</td>\n",
              "      <td>77.242471</td>\n",
              "      <td>Pondicherry Fish Curry, Coconut Rabdi, Sabudan...</td>\n",
              "      <td>Artistic Decor, The Service, Natural Ambience,...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Dum-Pukht - ITC Maurya</td>\n",
              "      <td>Mughlai, North Indian, Desserts</td>\n",
              "      <td>5000</td>\n",
              "      <td>ITC Maurya, Chanakyapuri, New Delhi</td>\n",
              "      <td>4.9</td>\n",
              "      <td>1371</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>https://www.zomato.com/ncr/dum-pukht-itc-maury...</td>\n",
              "      <td>ITC Maurya, Chanakyapuri, New Delhi</td>\n",
              "      <td>9.11146E+11</td>\n",
              "      <td>28.598200</td>\n",
              "      <td>77.173661</td>\n",
              "      <td>Royal ambiance and Mughlai cuisine, also recei...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Burma Burma</td>\n",
              "      <td>Asian, Burmese, Bubble Tea, Desserts, Salad</td>\n",
              "      <td>1600</td>\n",
              "      <td>Cyber Hub, DLF Cyber City, Gurgaon</td>\n",
              "      <td>4.9</td>\n",
              "      <td>2636</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1238</td>\n",
              "      <td>https://www.zomato.com/ncr/burma-burma-dlf-cyb...</td>\n",
              "      <td>Shop 6, Ground Floor, Building 8, Tower C, Cyb...</td>\n",
              "      <td>9.11244E+11</td>\n",
              "      <td>28.494464</td>\n",
              "      <td>77.088532</td>\n",
              "      <td>Coconut Milk Dessert, Honey Caviar, Kaffir Lim...</td>\n",
              "      <td>Knowledgeable Staff, Authentic, Soothing Ambie...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>The Big Chill</td>\n",
              "      <td>Continental, American, Italian</td>\n",
              "      <td>1500</td>\n",
              "      <td>Khan Market, New Delhi</td>\n",
              "      <td>4.9</td>\n",
              "      <td>6487</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>https://www.zomato.com/ncr/the-big-chill-khan-...</td>\n",
              "      <td>68-A, Khan Market, New Delhi</td>\n",
              "      <td>9.11142E+11</td>\n",
              "      <td>28.600350</td>\n",
              "      <td>77.227493</td>\n",
              "      <td>Irish Cream Tiramisu, Penne Vodka, Mississippi...</td>\n",
              "      <td>Retro Ambience, Yummy Desserts, Big Portions, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1960</th>\n",
              "      <td>Bablu Chic-Inn</td>\n",
              "      <td>Mughlai, North Indian, Chinese, Fast Food</td>\n",
              "      <td>500</td>\n",
              "      <td>Ashok Vihar Phase 3, New Delhi</td>\n",
              "      <td>3.9</td>\n",
              "      <td>183</td>\n",
              "      <td>4.1</td>\n",
              "      <td>545</td>\n",
              "      <td>https://www.zomato.com/ncr/bablu-chic-inn-asho...</td>\n",
              "      <td>Shop 9, Pocket B, DDA Market, Ashok Vihar Phas...</td>\n",
              "      <td>9.2E+11</td>\n",
              "      <td>28.692473</td>\n",
              "      <td>77.178004</td>\n",
              "      <td>Great Recommendations, Tamper Proof Packaging,...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1961</th>\n",
              "      <td>Kovilakam</td>\n",
              "      <td>South Indian</td>\n",
              "      <td>350</td>\n",
              "      <td>Dilshad Garden, New Delhi</td>\n",
              "      <td>3.9</td>\n",
              "      <td>114</td>\n",
              "      <td>NaN</td>\n",
              "      <td>1</td>\n",
              "      <td>https://www.zomato.com/ncr/kovilakam-dilshad-g...</td>\n",
              "      <td>F-1, Lower Ground 2, Mrignaini Chowk, Dilshad ...</td>\n",
              "      <td>9.19654E+11</td>\n",
              "      <td>28.684101</td>\n",
              "      <td>77.326725</td>\n",
              "      <td>Kerala Parotta, Roasted Chicken, Chicken Curry...</td>\n",
              "      <td>Lip Smacking Food, Amazing Food, Owner, Good P...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1962</th>\n",
              "      <td>Krips Restaurant</td>\n",
              "      <td>North Indian, Chinese, Mughlai</td>\n",
              "      <td>900</td>\n",
              "      <td>Basant Lok Market, Vasant Vihar, New Delhi</td>\n",
              "      <td>3.9</td>\n",
              "      <td>316</td>\n",
              "      <td>3.9</td>\n",
              "      <td>2977</td>\n",
              "      <td>https://www.zomato.com/ncr/krips-restaurant-va...</td>\n",
              "      <td>59, Community Centre, Basant Lok Market, Vasan...</td>\n",
              "      <td>9.11141E+11</td>\n",
              "      <td>28.557310</td>\n",
              "      <td>77.163943</td>\n",
              "      <td>Excellent Food, Good Ambience, Courteous Staff...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1963</th>\n",
              "      <td>Cafe 147</td>\n",
              "      <td>Cafe, North Indian, Chinese, Kashmiri, Rolls, ...</td>\n",
              "      <td>800</td>\n",
              "      <td>Sainik Farms, New Delhi</td>\n",
              "      <td>3.9</td>\n",
              "      <td>120</td>\n",
              "      <td>3.8</td>\n",
              "      <td>196</td>\n",
              "      <td>https://www.zomato.com/ncr/cafe-147-sainik-far...</td>\n",
              "      <td>Shop A1/7, Ground Floor, Main IGNOU Road, Neb ...</td>\n",
              "      <td>9.19812E+11</td>\n",
              "      <td>28.510338</td>\n",
              "      <td>77.202056</td>\n",
              "      <td>Pool, Live Music, Cafe, Environment, Good Plac...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1964</th>\n",
              "      <td>Pizzasia</td>\n",
              "      <td>Pizza, Fast Food, Beverages</td>\n",
              "      <td>500</td>\n",
              "      <td>Gaur City 2, Greater Noida</td>\n",
              "      <td>3.9</td>\n",
              "      <td>165</td>\n",
              "      <td>3.9</td>\n",
              "      <td>5196</td>\n",
              "      <td>https://www.zomato.com/ncr/pizzasia-gaur-city-...</td>\n",
              "      <td>Shop 14, Ground Floor, Bhawishya India Tower, ...</td>\n",
              "      <td>9.18861E+11</td>\n",
              "      <td>28.618250</td>\n",
              "      <td>77.427417</td>\n",
              "      <td>Cordial Staff, Great Recommendations, Mouth Wa...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
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              "<p>1965 rows × 15 columns</p>\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "    </div>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "***Ques 1 . Are they any null value in the dataset? If yes then fill them***"
      ],
      "metadata": {
        "id": "YjBu2upw0SFT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "LGSvbJaIzjr3",
        "outputId": "dee9be5f-e1c7-4962-bd01-90266da267ad"
      },
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Restaurant_Name            0\n",
              "Category                   0\n",
              "Pricing_for_2              0\n",
              "Locality                   0\n",
              "Dining_Rating              0\n",
              "Dining_Review_Count        0\n",
              "Delivery_Rating          402\n",
              "Delivery_Rating_Count      0\n",
              "Website                    0\n",
              "Address                    0\n",
              "Phone_No                   0\n",
              "Latitude                   0\n",
              "Longitude                  0\n",
              "Known_For2               405\n",
              "Known_For22              841\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Delivery_Rating'].mean()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "szqA5dVvzwtu",
        "outputId": "de40cf01-ad74-4122-8cfe-65fab1d19cea"
      },
      "execution_count": 72,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.964299424184261"
            ]
          },
          "metadata": {},
          "execution_count": 72
        }
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      "cell_type": "code",
      "source": [
        "df[\"Known_For22\"].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_zE5qOLL9y60",
        "outputId": "4adce659-af2c-4c99-fe58-e5580afb0799"
      },
      "execution_count": 73,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Pretty Decor, Perfect Presentation, Tamper Proof Packaging, Worth the Money, Packing, Food Quality                     2\n",
              "Artistic Decor, The Service, Natural Ambience, Fusion Menu, Serene Ambience, Fusion Food                               1\n",
              "Excellent Place, Great Value, Nice Service, Recommended Place, Good Quality Food, Amazing Taste                        1\n",
              "Amazing Food and Experience, Delivery Instructions, Genuine Price, Faster Delivery, Worth the Price, Food Packaging    1\n",
              "Budget Food, Good for Large Groups, Packed on Weekends, Portions, Good Taste, Main Course                              1\n",
              "                                                                                                                      ..\n",
              "Classy Decor, Wonderful Service, Chinese, Server, Excellent Food, Hospitality                                          1\n",
              "Pocket Friendly, Nice Crowd, Great Ambiance, Polite Staff, Prompt Service, Worth the Money                             1\n",
              "Happy Hour Menu, Balcony Area, Affordable Food, Outdoor Sitting, Good Vibe, Helpful Staff                              1\n",
              "Surrounding, Calm, Beautiful Place, Cafe, Owner, Decor                                                                 1\n",
              "Lip Smacking Food, Amazing Food, Owner, Good Place, Good Food, Quality                                                 1\n",
              "Name: Known_For22, Length: 1123, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df[\"Known_For2\"].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UgApTkED1l8D",
        "outputId": "a1cfa296-2781-4249-816a-f45293f92fb4"
      },
      "execution_count": 74,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Get a complimentary night, earn up to 50% of spends as points at 250+ restaurants & much more. Know more    15\n",
              "Finger Food, Continental, Mediterranean, Italian, Asian                                                      9\n",
              "Continental, Italian, Fast Food, North Indian, Beverages, Coffee                                             7\n",
              "Chinese, Asian, Continental, North Indian, Beverages                                                         2\n",
              "Butterscotch Pastry, Truffle Pastry, Chocolate Truffle Cake, Pastries, Waffle, Cakes                         2\n",
              "                                                                                                            ..\n",
              "Passion Fruit Ice Tea, Cardamom Tea, Bun Tikki, Earl Grey Tea, Rose Tea, Smoked Chicken Pasta                1\n",
              "Chicken Crostini, Blackberry Mojito, Butter Maggi, Peri Fries, Masala Tea, Hot Coffee                        1\n",
              "Chicken Thai Curry, Iced Lemon Tea, Pizza Alle Verdure, Veggie Delight, Stroganoff, Chicken Shawarama        1\n",
              "Paneer Birbali, Tomato Soup, Butter Chicken, Dal Makhani, Kadhai Paneer, Shahi Paneer                        1\n",
              "Cordial Staff, Great Recommendations, Mouth Watering Food, Reasonable Prices, Quantity, Ambience             1\n",
              "Name: Known_For2, Length: 1530, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Known_For2']=df['Known_For2'].fillna(value=\"Get a complimentary night, earn up to 50% of spends as points at 250+ restaurants & much more. Know more\")"
      ],
      "metadata": {
        "id": "8STcC865QTDp"
      },
      "execution_count": 75,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df['Known_For22']=df['Known_For22'].fillna(value=\"Pretty Decor, Perfect Presentation, Tamper Proof Packaging, Worth the Money, Packing, Food Quality \")"
      ],
      "metadata": {
        "id": "URzu_w0ZRPan"
      },
      "execution_count": 76,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df['Delivery_Rating']=df['Delivery_Rating'].fillna(value=3.1)"
      ],
      "metadata": {
        "id": "eHU88PIxsY7A"
      },
      "execution_count": 77,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f8fvOZrnE5js",
        "outputId": "f449d346-e07e-4ed6-f57f-73cfea2b9ac2"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Restaurant_Name          0\n",
              "Category                 0\n",
              "Pricing_for_2            0\n",
              "Locality                 0\n",
              "Dining_Rating            0\n",
              "Dining_Review_Count      0\n",
              "Delivery_Rating          0\n",
              "Delivery_Rating_Count    0\n",
              "Website                  0\n",
              "Address                  0\n",
              "Phone_No                 0\n",
              "Latitude                 0\n",
              "Longitude                0\n",
              "Known_For2               0\n",
              "Known_For22              0\n",
              "dtype: int64"
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          "metadata": {},
          "execution_count": 78
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        "id": "AP_h_SZLIDyw",
        "outputId": "13dbd71c-5ed5-4b81-9ce9-e70b2b5dd419"
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      "execution_count": 79,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             Restaurant_Name  \\\n",
              "0                   Rustom's   \n",
              "1                  Cafe Lota   \n",
              "2     Dum-Pukht - ITC Maurya   \n",
              "3                Burma Burma   \n",
              "4              The Big Chill   \n",
              "...                      ...   \n",
              "1960          Bablu Chic-Inn   \n",
              "1961               Kovilakam   \n",
              "1962        Krips Restaurant   \n",
              "1963                Cafe 147   \n",
              "1964                Pizzasia   \n",
              "\n",
              "                                               Category  Pricing_for_2  \\\n",
              "0     Parsi, Street Food, North Indian, Desserts, Be...           2100   \n",
              "1           Cafe, South Indian, North Indian, Beverages           1200   \n",
              "2                       Mughlai, North Indian, Desserts           5000   \n",
              "3           Asian, Burmese, Bubble Tea, Desserts, Salad           1600   \n",
              "4                        Continental, American, Italian           1500   \n",
              "...                                                 ...            ...   \n",
              "1960          Mughlai, North Indian, Chinese, Fast Food            500   \n",
              "1961                                       South Indian            350   \n",
              "1962                     North Indian, Chinese, Mughlai            900   \n",
              "1963  Cafe, North Indian, Chinese, Kashmiri, Rolls, ...            800   \n",
              "1964                        Pizza, Fast Food, Beverages            500   \n",
              "\n",
              "                                         Locality  Dining_Rating  \\\n",
              "0                                  ITO, New Delhi            4.9   \n",
              "1                       Pragati Maidan, New Delhi            4.9   \n",
              "2             ITC Maurya, Chanakyapuri, New Delhi            4.9   \n",
              "3              Cyber Hub, DLF Cyber City, Gurgaon            4.9   \n",
              "4                          Khan Market, New Delhi            4.9   \n",
              "...                                           ...            ...   \n",
              "1960               Ashok Vihar Phase 3, New Delhi            3.9   \n",
              "1961                    Dilshad Garden, New Delhi            3.9   \n",
              "1962   Basant Lok Market, Vasant Vihar, New Delhi            3.9   \n",
              "1963                      Sainik Farms, New Delhi            3.9   \n",
              "1964                   Gaur City 2, Greater Noida            3.9   \n",
              "\n",
              "      Dining_Review_Count  Delivery_Rating  Delivery_Rating_Count  \\\n",
              "0                    1885              4.4                   1844   \n",
              "1                    3748              3.9                     37   \n",
              "2                    1371              3.1                      0   \n",
              "3                    2636              4.4                   1238   \n",
              "4                    6487              3.1                      0   \n",
              "...                   ...              ...                    ...   \n",
              "1960                  183              4.1                    545   \n",
              "1961                  114              3.1                      1   \n",
              "1962                  316              3.9                   2977   \n",
              "1963                  120              3.8                    196   \n",
              "1964                  165              3.9                   5196   \n",
              "\n",
              "                                                Website  \\\n",
              "0      https://www.zomato.com/ncr/rustoms-ito-new-delhi   \n",
              "1     https://www.zomato.com/ncr/cafe-lota-pragati-m...   \n",
              "2     https://www.zomato.com/ncr/dum-pukht-itc-maury...   \n",
              "3     https://www.zomato.com/ncr/burma-burma-dlf-cyb...   \n",
              "4     https://www.zomato.com/ncr/the-big-chill-khan-...   \n",
              "...                                                 ...   \n",
              "1960  https://www.zomato.com/ncr/bablu-chic-inn-asho...   \n",
              "1961  https://www.zomato.com/ncr/kovilakam-dilshad-g...   \n",
              "1962  https://www.zomato.com/ncr/krips-restaurant-va...   \n",
              "1963  https://www.zomato.com/ncr/cafe-147-sainik-far...   \n",
              "1964  https://www.zomato.com/ncr/pizzasia-gaur-city-...   \n",
              "\n",
              "                                                Address     Phone_No  \\\n",
              "0     Delhi Parsi Anjuman, LNJP Colony, Bahadur Shah...   9.1991E+11   \n",
              "1     National Crafts Museum, Gate 2, Bhairon Marg, ...  9.17839E+11   \n",
              "2                   ITC Maurya, Chanakyapuri, New Delhi  9.11146E+11   \n",
              "3     Shop 6, Ground Floor, Building 8, Tower C, Cyb...  9.11244E+11   \n",
              "4                          68-A, Khan Market, New Delhi  9.11142E+11   \n",
              "...                                                 ...          ...   \n",
              "1960  Shop 9, Pocket B, DDA Market, Ashok Vihar Phas...      9.2E+11   \n",
              "1961  F-1, Lower Ground 2, Mrignaini Chowk, Dilshad ...  9.19654E+11   \n",
              "1962  59, Community Centre, Basant Lok Market, Vasan...  9.11141E+11   \n",
              "1963  Shop A1/7, Ground Floor, Main IGNOU Road, Neb ...  9.19812E+11   \n",
              "1964  Shop 14, Ground Floor, Bhawishya India Tower, ...  9.18861E+11   \n",
              "\n",
              "       Latitude  Longitude                                         Known_For2  \\\n",
              "0     28.638167  77.240472  Get a complimentary night, earn up to 50% of s...   \n",
              "1     28.613429  77.242471  Pondicherry Fish Curry, Coconut Rabdi, Sabudan...   \n",
              "2     28.598200  77.173661  Royal ambiance and Mughlai cuisine, also recei...   \n",
              "3     28.494464  77.088532  Coconut Milk Dessert, Honey Caviar, Kaffir Lim...   \n",
              "4     28.600350  77.227493  Irish Cream Tiramisu, Penne Vodka, Mississippi...   \n",
              "...         ...        ...                                                ...   \n",
              "1960  28.692473  77.178004  Great Recommendations, Tamper Proof Packaging,...   \n",
              "1961  28.684101  77.326725  Kerala Parotta, Roasted Chicken, Chicken Curry...   \n",
              "1962  28.557310  77.163943  Excellent Food, Good Ambience, Courteous Staff...   \n",
              "1963  28.510338  77.202056  Pool, Live Music, Cafe, Environment, Good Plac...   \n",
              "1964  28.618250  77.427417  Cordial Staff, Great Recommendations, Mouth Wa...   \n",
              "\n",
              "                                            Known_For22  \n",
              "0     Pretty Decor, Perfect Presentation, Tamper Pro...  \n",
              "1     Artistic Decor, The Service, Natural Ambience,...  \n",
              "2     Pretty Decor, Perfect Presentation, Tamper Pro...  \n",
              "3     Knowledgeable Staff, Authentic, Soothing Ambie...  \n",
              "4     Retro Ambience, Yummy Desserts, Big Portions, ...  \n",
              "...                                                 ...  \n",
              "1960  Pretty Decor, Perfect Presentation, Tamper Pro...  \n",
              "1961  Lip Smacking Food, Amazing Food, Owner, Good P...  \n",
              "1962  Pretty Decor, Perfect Presentation, Tamper Pro...  \n",
              "1963  Pretty Decor, Perfect Presentation, Tamper Pro...  \n",
              "1964  Pretty Decor, Perfect Presentation, Tamper Pro...  \n",
              "\n",
              "[1965 rows x 15 columns]"
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              "    .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>Restaurant_Name</th>\n",
              "      <th>Category</th>\n",
              "      <th>Pricing_for_2</th>\n",
              "      <th>Locality</th>\n",
              "      <th>Dining_Rating</th>\n",
              "      <th>Dining_Review_Count</th>\n",
              "      <th>Delivery_Rating</th>\n",
              "      <th>Delivery_Rating_Count</th>\n",
              "      <th>Website</th>\n",
              "      <th>Address</th>\n",
              "      <th>Phone_No</th>\n",
              "      <th>Latitude</th>\n",
              "      <th>Longitude</th>\n",
              "      <th>Known_For2</th>\n",
              "      <th>Known_For22</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Rustom's</td>\n",
              "      <td>Parsi, Street Food, North Indian, Desserts, Be...</td>\n",
              "      <td>2100</td>\n",
              "      <td>ITO, New Delhi</td>\n",
              "      <td>4.9</td>\n",
              "      <td>1885</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1844</td>\n",
              "      <td>https://www.zomato.com/ncr/rustoms-ito-new-delhi</td>\n",
              "      <td>Delhi Parsi Anjuman, LNJP Colony, Bahadur Shah...</td>\n",
              "      <td>9.1991E+11</td>\n",
              "      <td>28.638167</td>\n",
              "      <td>77.240472</td>\n",
              "      <td>Get a complimentary night, earn up to 50% of s...</td>\n",
              "      <td>Pretty Decor, Perfect Presentation, Tamper Pro...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Cafe Lota</td>\n",
              "      <td>Cafe, South Indian, North Indian, Beverages</td>\n",
              "      <td>1200</td>\n",
              "      <td>Pragati Maidan, New Delhi</td>\n",
              "      <td>4.9</td>\n",
              "      <td>3748</td>\n",
              "      <td>3.9</td>\n",
              "      <td>37</td>\n",
              "      <td>https://www.zomato.com/ncr/cafe-lota-pragati-m...</td>\n",
              "      <td>National Crafts Museum, Gate 2, Bhairon Marg, ...</td>\n",
              "      <td>9.17839E+11</td>\n",
              "      <td>28.613429</td>\n",
              "      <td>77.242471</td>\n",
              "      <td>Pondicherry Fish Curry, Coconut Rabdi, Sabudan...</td>\n",
              "      <td>Artistic Decor, The Service, Natural Ambience,...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Dum-Pukht - ITC Maurya</td>\n",
              "      <td>Mughlai, North Indian, Desserts</td>\n",
              "      <td>5000</td>\n",
              "      <td>ITC Maurya, Chanakyapuri, New Delhi</td>\n",
              "      <td>4.9</td>\n",
              "      <td>1371</td>\n",
              "      <td>3.1</td>\n",
              "      <td>0</td>\n",
              "      <td>https://www.zomato.com/ncr/dum-pukht-itc-maury...</td>\n",
              "      <td>ITC Maurya, Chanakyapuri, New Delhi</td>\n",
              "      <td>9.11146E+11</td>\n",
              "      <td>28.598200</td>\n",
              "      <td>77.173661</td>\n",
              "      <td>Royal ambiance and Mughlai cuisine, also recei...</td>\n",
              "      <td>Pretty Decor, Perfect Presentation, Tamper Pro...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Burma Burma</td>\n",
              "      <td>Asian, Burmese, Bubble Tea, Desserts, Salad</td>\n",
              "      <td>1600</td>\n",
              "      <td>Cyber Hub, DLF Cyber City, Gurgaon</td>\n",
              "      <td>4.9</td>\n",
              "      <td>2636</td>\n",
              "      <td>4.4</td>\n",
              "      <td>1238</td>\n",
              "      <td>https://www.zomato.com/ncr/burma-burma-dlf-cyb...</td>\n",
              "      <td>Shop 6, Ground Floor, Building 8, Tower C, Cyb...</td>\n",
              "      <td>9.11244E+11</td>\n",
              "      <td>28.494464</td>\n",
              "      <td>77.088532</td>\n",
              "      <td>Coconut Milk Dessert, Honey Caviar, Kaffir Lim...</td>\n",
              "      <td>Knowledgeable Staff, Authentic, Soothing Ambie...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>The Big Chill</td>\n",
              "      <td>Continental, American, Italian</td>\n",
              "      <td>1500</td>\n",
              "      <td>Khan Market, New Delhi</td>\n",
              "      <td>4.9</td>\n",
              "      <td>6487</td>\n",
              "      <td>3.1</td>\n",
              "      <td>0</td>\n",
              "      <td>https://www.zomato.com/ncr/the-big-chill-khan-...</td>\n",
              "      <td>68-A, Khan Market, New Delhi</td>\n",
              "      <td>9.11142E+11</td>\n",
              "      <td>28.600350</td>\n",
              "      <td>77.227493</td>\n",
              "      <td>Irish Cream Tiramisu, Penne Vodka, Mississippi...</td>\n",
              "      <td>Retro Ambience, Yummy Desserts, Big Portions, ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1960</th>\n",
              "      <td>Bablu Chic-Inn</td>\n",
              "      <td>Mughlai, North Indian, Chinese, Fast Food</td>\n",
              "      <td>500</td>\n",
              "      <td>Ashok Vihar Phase 3, New Delhi</td>\n",
              "      <td>3.9</td>\n",
              "      <td>183</td>\n",
              "      <td>4.1</td>\n",
              "      <td>545</td>\n",
              "      <td>https://www.zomato.com/ncr/bablu-chic-inn-asho...</td>\n",
              "      <td>Shop 9, Pocket B, DDA Market, Ashok Vihar Phas...</td>\n",
              "      <td>9.2E+11</td>\n",
              "      <td>28.692473</td>\n",
              "      <td>77.178004</td>\n",
              "      <td>Great Recommendations, Tamper Proof Packaging,...</td>\n",
              "      <td>Pretty Decor, Perfect Presentation, Tamper Pro...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1961</th>\n",
              "      <td>Kovilakam</td>\n",
              "      <td>South Indian</td>\n",
              "      <td>350</td>\n",
              "      <td>Dilshad Garden, New Delhi</td>\n",
              "      <td>3.9</td>\n",
              "      <td>114</td>\n",
              "      <td>3.1</td>\n",
              "      <td>1</td>\n",
              "      <td>https://www.zomato.com/ncr/kovilakam-dilshad-g...</td>\n",
              "      <td>F-1, Lower Ground 2, Mrignaini Chowk, Dilshad ...</td>\n",
              "      <td>9.19654E+11</td>\n",
              "      <td>28.684101</td>\n",
              "      <td>77.326725</td>\n",
              "      <td>Kerala Parotta, Roasted Chicken, Chicken Curry...</td>\n",
              "      <td>Lip Smacking Food, Amazing Food, Owner, Good P...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1962</th>\n",
              "      <td>Krips Restaurant</td>\n",
              "      <td>North Indian, Chinese, Mughlai</td>\n",
              "      <td>900</td>\n",
              "      <td>Basant Lok Market, Vasant Vihar, New Delhi</td>\n",
              "      <td>3.9</td>\n",
              "      <td>316</td>\n",
              "      <td>3.9</td>\n",
              "      <td>2977</td>\n",
              "      <td>https://www.zomato.com/ncr/krips-restaurant-va...</td>\n",
              "      <td>59, Community Centre, Basant Lok Market, Vasan...</td>\n",
              "      <td>9.11141E+11</td>\n",
              "      <td>28.557310</td>\n",
              "      <td>77.163943</td>\n",
              "      <td>Excellent Food, Good Ambience, Courteous Staff...</td>\n",
              "      <td>Pretty Decor, Perfect Presentation, Tamper Pro...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1963</th>\n",
              "      <td>Cafe 147</td>\n",
              "      <td>Cafe, North Indian, Chinese, Kashmiri, Rolls, ...</td>\n",
              "      <td>800</td>\n",
              "      <td>Sainik Farms, New Delhi</td>\n",
              "      <td>3.9</td>\n",
              "      <td>120</td>\n",
              "      <td>3.8</td>\n",
              "      <td>196</td>\n",
              "      <td>https://www.zomato.com/ncr/cafe-147-sainik-far...</td>\n",
              "      <td>Shop A1/7, Ground Floor, Main IGNOU Road, Neb ...</td>\n",
              "      <td>9.19812E+11</td>\n",
              "      <td>28.510338</td>\n",
              "      <td>77.202056</td>\n",
              "      <td>Pool, Live Music, Cafe, Environment, Good Plac...</td>\n",
              "      <td>Pretty Decor, Perfect Presentation, Tamper Pro...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1964</th>\n",
              "      <td>Pizzasia</td>\n",
              "      <td>Pizza, Fast Food, Beverages</td>\n",
              "      <td>500</td>\n",
              "      <td>Gaur City 2, Greater Noida</td>\n",
              "      <td>3.9</td>\n",
              "      <td>165</td>\n",
              "      <td>3.9</td>\n",
              "      <td>5196</td>\n",
              "      <td>https://www.zomato.com/ncr/pizzasia-gaur-city-...</td>\n",
              "      <td>Shop 14, Ground Floor, Bhawishya India Tower, ...</td>\n",
              "      <td>9.18861E+11</td>\n",
              "      <td>28.618250</td>\n",
              "      <td>77.427417</td>\n",
              "      <td>Cordial Staff, Great Recommendations, Mouth Wa...</td>\n",
              "      <td>Pretty Decor, Perfect Presentation, Tamper Pro...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1965 rows × 15 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
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              "                                                    [key], {});\n",
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              "  .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
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              "\n",
              "  <script>\n",
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              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\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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              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "***Ques 2.Which restaurant is the best one having ratings more than 4.5 for delivery***"
      ],
      "metadata": {
        "id": "LSog6HPRERRz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "a=df['Restaurant_Name'][(df['Delivery_Rating']>=4.5)]\n",
        "a\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "e4EVLYvpE4SR",
        "outputId": "dbcd5f12-fa6b-4794-f6ee-b8fe96e2a1c5"
      },
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "7                          Natural Ice Cream\n",
              "152     The Haven International Coffee House\n",
              "249                            Sibang Bakery\n",
              "269                                BreadTalk\n",
              "829                                Krua Thai\n",
              "1342                 KAP's Restro Bar & Cafe\n",
              "1445                                Choko La\n",
              "1505                          Twist of Italy\n",
              "Name: Restaurant_Name, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.barplot(x='Delivery_Rating',y=a,data=data)"
      ],
      "metadata": {
        "id": "LJQWGM2JNZE5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "outputId": "b3fa3d21-2066-4c0f-e7f2-92142f6cb3e4"
      },
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: xlabel='Delivery_Rating', ylabel='Restaurant_Name'>"
            ]
          },
          "metadata": {},
          "execution_count": 81
        },
        {
          "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": [
        " Best Restaurant Rating more than 4.5 is Natural Ice Cream"
      ],
      "metadata": {
        "id": "jSl599DieACj"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "***Ques 3.What type of food is most preffered by the customers?***"
      ],
      "metadata": {
        "id": "tvo7bP0jb2gG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "t=data['Category'].value_counts()\n",
        "t"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bWCzgfhgb7A3",
        "outputId": "3fc63420-5a08-4436-fa65-cfab4ed6e0bb"
      },
      "execution_count": 82,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "North Indian                                                      88\n",
              "North Indian, Chinese                                             39\n",
              "North Indian, Mughlai                                             37\n",
              "Pizza, Fast Food                                                  19\n",
              "North Indian, Chinese, Mughlai                                    17\n",
              "                                                                  ..\n",
              "North Indian, Kebab, Mughlai, Biryani, Beverages                   1\n",
              "North Indian, Continental, Italian, Chinese                        1\n",
              "North Indian, Continental, Asian, Chinese                          1\n",
              "Afghan, Iranian, Awadhi, Beverages                                 1\n",
              "Cafe, North Indian, Chinese, Kashmiri, Rolls, Pizza, Beverages     1\n",
              "Name: Category, Length: 1355, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.hist(t,bins=100,width=1)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "id": "RPhlWawKcHJl",
        "outputId": "5d5fe2e7-a1c8-4dc9-8c85-1d760062299c"
      },
      "execution_count": 83,
      "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": [
        " *Most Preffered food by Customer is North Indian*"
      ],
      "metadata": {
        "id": "uww-p7F6dszi"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "***Ques 4.How many people prefer delivery rather than dining ?***"
      ],
      "metadata": {
        "id": "fCII-oyYerSE"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df['Dining_Review_Count'].value_counts()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FiNuGAdRd6AB",
        "outputId": "3efa1e98-0118-4feb-9a31-4cd9f546488a"
      },
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "180     9\n",
              "330     8\n",
              "216     8\n",
              "272     7\n",
              "257     7\n",
              "       ..\n",
              "1359    1\n",
              "876     1\n",
              "655     1\n",
              "537     1\n",
              "312     1\n",
              "Name: Dining_Review_Count, Length: 1056, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "st=(df[\"Delivery_Rating_Count\"]-df['Dining_Review_Count']).sum()\n",
        "st"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sJRifYVVlm8k",
        "outputId": "3ff941b2-5159-4859-f6c3-5753379c82b8"
      },
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "4534427"
            ]
          },
          "metadata": {},
          "execution_count": 85
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "xa=data['Delivery_Rating']\n",
        "ya=data['Delivery_Rating_Count']\n",
        "x2=data['Dining_Rating']\n",
        "y2=data['Dining_Review_Count']\n",
        "plt.scatter(xa,ya,c='g')\n",
        "plt.scatter(x2,y2,c='b')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "id": "lr9R8rCa1z4O",
        "outputId": "1878590b-b145-4b2d-a4ed-6d05636b2c69"
      },
      "execution_count": 86,
      "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": [
        "*4534427  People prefer Delivery rather than Dining*"
      ],
      "metadata": {
        "id": "8b9GTssZ50pG"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Ques 5.Which restaurant is the best one having ratings more than 4.5 for dining?"
      ],
      "metadata": {
        "id": "hwYUTvj9f_R_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "maxValues = df['Dining_Rating'].max()\n",
        "maxValues"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OREWKKHdvX6_",
        "outputId": "276cb81c-044f-4d10-a735-89d574988169"
      },
      "execution_count": 87,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "4.9"
            ]
          },
          "metadata": {},
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Dining_Rating'].value_counts().plot(kind='bar')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 456
        },
        "id": "AoyDwOtSfTz0",
        "outputId": "0d8aa217-d452-424a-f3ee-fc3cdf14ad0e"
      },
      "execution_count": 88,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 88
        },
        {
          "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": [
        "p=df['Dining_Rating']*df[\"Dining_Review_Count\"]\n",
        "order = df['Restaurant_Name'].value_counts().index\n",
        "ax=sns.barplot(x=p,y=df[\"Restaurant_Name\"] ,order=order[:28])"
      ],
      "metadata": {
        "id": "vVlUDCtzgEmv",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "outputId": "f42b2506-86a0-4a0e-9fa2-711c1134847b"
      },
      "execution_count": 89,
      "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": [
        "*Best Restaurant Rating more than 4.5 is \"The Big Chill*\""
      ],
      "metadata": {
        "id": "_nUkX70ryOJk"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "***Q6.Compare different delivery rating counts of different restaurants. Also tell that which restaurants has got the highest rating counts. Do this by creating a barplot***"
      ],
      "metadata": {
        "id": "AvChjGeu6pKl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data.sort_values('Delivery_Rating_Count', ascending=False, inplace=True)"
      ],
      "metadata": {
        "id": "mTTzjHOM7hrs"
      },
      "execution_count": 90,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "M=data['Restaurant_Name'].head()\n",
        "plt.figure(figsize=(13,3))\n",
        "sns.barplot(x=M, y='Delivery_Rating_Count', data=data)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 311
        },
        "id": "PLT6YEdH7kGu",
        "outputId": "63554db7-17d8-43db-e4ff-0ad289171172"
      },
      "execution_count": 103,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1300x300 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*Punjabi Angithi got the highest rating counts*"
      ],
      "metadata": {
        "id": "qzYdOfQAHLEl"
      }
    }
  ]
}