yelp_data_analysis.ipynb

{
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  "metadata": {
    "colab": {
      "name": "yelp-data-analysis.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.6.10"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/stxupengyu/Yelp-Recomendation-Algorithms/blob/master/yelp_data_analysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9leA14iGH1vT",
        "outputId": "7f933a14-c5e1-4ea4-a743-9d18045ceeef",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#link google drive\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1dE5LVJLH1_7",
        "outputId": "c55ae786-54fa-4fdc-8c41-c4807ecd432b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 218
        }
      },
      "source": [
        "#enter the folder\n",
        "!ls\n",
        "import os\n",
        "#os.environ['KAGGLE_CONFIG_DIR'] = \"/content/drive/My Drive/colab/tourism-service-rec\"\n",
        "os.chdir('/content/drive/My Drive/colab/tourism-service-rec')\n",
        "!ls\n",
        "#download kaggle dataset(10GB)\n",
        "#!kaggle datasets download -d yelp-dataset/yelp-dataset\n",
        "#!ls\n",
        "#!unzip yelp-dataset.zip"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Dataset_Agreement.pdf\t\t     yelp_academic_dataset_review.json\n",
            "kaggle.json\t\t\t     yelp_academic_dataset_tip.json\n",
            "rating.csv\t\t\t     yelp_academic_dataset_user.json\n",
            "recommender-systems-kaggle.ipynb     yelp-data-analysis.ipynb\n",
            "yelp_academic_dataset_business.json  yelp-recommendation.ipynb\n",
            "yelp_academic_dataset_checkin.json\n",
            "Dataset_Agreement.pdf\t\t     yelp_academic_dataset_review.json\n",
            "kaggle.json\t\t\t     yelp_academic_dataset_tip.json\n",
            "rating.csv\t\t\t     yelp_academic_dataset_user.json\n",
            "recommender-systems-kaggle.ipynb     yelp-data-analysis.ipynb\n",
            "yelp_academic_dataset_business.json  yelp-recommendation.ipynb\n",
            "yelp_academic_dataset_checkin.json\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SMCHKz5wykvP",
        "outputId": "3f2e6a98-3bf5-4f66-fc13-f44c4823dd50",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 123
        }
      },
      "source": [
        "#read the dataset:yelp,review&business\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import json\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "%matplotlib inline\n",
        "reviews = pd.read_json(\"yelp_academic_dataset_review.json\", lines=True, orient='columns', chunksize=1000000)\n",
        "for review in reviews:\n",
        "    subset_review = review\n",
        "    break\n",
        "print('The shape of the data:',subset_review.shape)\n",
        "display(subset_review.head(2))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The shape of the data: (1000000, 9)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>review_id</th>\n",
              "      <th>user_id</th>\n",
              "      <th>business_id</th>\n",
              "      <th>stars</th>\n",
              "      <th>useful</th>\n",
              "      <th>funny</th>\n",
              "      <th>cool</th>\n",
              "      <th>text</th>\n",
              "      <th>date</th>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>As someone who has worked with many museums, I...</td>\n",
              "      <td>2015-04-15 05:21:16</td>\n",
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              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>I am actually horrified this place is still in...</td>\n",
              "      <td>2013-12-07 03:16:52</td>\n",
              "    </tr>\n",
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            ],
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              "                review_id  ...                date\n",
              "0  xQY8N_XvtGbearJ5X4QryQ  ... 2015-04-15 05:21:16\n",
              "1  UmFMZ8PyXZTY2QcwzsfQYA  ... 2013-12-07 03:16:52\n",
              "\n",
              "[2 rows x 9 columns]"
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          },
          "metadata": {
            "tags": []
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    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r3O-KA67Cq7W",
        "outputId": "6cbdff33-321a-4eda-f400-43d3906d02a5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        }
      },
      "source": [
        "businesses = pd.read_json(\"yelp_academic_dataset_business.json\",lines=True, orient='columns', chunksize=1000000)\n",
        "for business in businesses:\n",
        "    subset_business = business\n",
        "    break\n",
        "print('The shape of the data:',subset_business.shape)\n",
        "display(subset_business.head(2))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The shape of the data: (209393, 14)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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              "      <th>business_id</th>\n",
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              "      <th>postal_code</th>\n",
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              "      <th>review_count</th>\n",
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              "      <td>f9NumwFMBDn751xgFiRbNA</td>\n",
              "      <td>The Range At Lake Norman</td>\n",
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              "      <td>Cornelius</td>\n",
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              "      <td>28031</td>\n",
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              "      <td>3.5</td>\n",
              "      <td>36</td>\n",
              "      <td>1</td>\n",
              "      <td>{'BusinessAcceptsCreditCards': 'True', 'BikePa...</td>\n",
              "      <td>Active Life, Gun/Rifle Ranges, Guns &amp; Ammo, Sh...</td>\n",
              "      <td>{'Monday': '10:0-18:0', 'Tuesday': '11:0-20:0'...</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Yzvjg0SayhoZgCljUJRF9Q</td>\n",
              "      <td>Carlos Santo, NMD</td>\n",
              "      <td>8880 E Via Linda, Ste 107</td>\n",
              "      <td>Scottsdale</td>\n",
              "      <td>AZ</td>\n",
              "      <td>85258</td>\n",
              "      <td>33.569404</td>\n",
              "      <td>-111.890264</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>{'GoodForKids': 'True', 'ByAppointmentOnly': '...</td>\n",
              "      <td>Health &amp; Medical, Fitness &amp; Instruction, Yoga,...</td>\n",
              "      <td>None</td>\n",
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            "text/plain": [
              "              business_id  ...                                              hours\n",
              "0  f9NumwFMBDn751xgFiRbNA  ...  {'Monday': '10:0-18:0', 'Tuesday': '11:0-20:0'...\n",
              "1  Yzvjg0SayhoZgCljUJRF9Q  ...                                               None\n",
              "\n",
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          "metadata": {
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    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iQysTapQU3J9",
        "outputId": "68e96421-977b-453c-9193-ce68342fbf54",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        }
      },
      "source": [
        "# pull out needed columns from subset_review table\n",
        "df_review = subset_review[['user_id','business_id','stars', 'date']]\n",
        "df_review"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>user_id</th>\n",
              "      <th>business_id</th>\n",
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              "      <th>date</th>\n",
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              "  <tbody>\n",
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              "      <th>0</th>\n",
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              "      <td>-MhfebM0QIsKt87iDN-FNw</td>\n",
              "      <td>2</td>\n",
              "      <td>2015-04-15 05:21:16</td>\n",
              "    </tr>\n",
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              "      <td>lbrU8StCq3yDfr-QMnGrmQ</td>\n",
              "      <td>1</td>\n",
              "      <td>2013-12-07 03:16:52</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
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              "      <td>HQl28KMwrEKHqhFrrDqVNQ</td>\n",
              "      <td>5</td>\n",
              "      <td>2015-12-05 03:18:11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ofKDkJKXSKZXu5xJNGiiBQ</td>\n",
              "      <td>5JxlZaqCnk1MnbgRirs40Q</td>\n",
              "      <td>1</td>\n",
              "      <td>2011-05-27 05:30:52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>UgMW8bLE0QMJDCkQ1Ax5Mg</td>\n",
              "      <td>IS4cv902ykd8wj1TR0N3-A</td>\n",
              "      <td>4</td>\n",
              "      <td>2017-01-14 21:56:57</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999995</th>\n",
              "      <td>D5uuGWFxVKyY7ti104yy4A</td>\n",
              "      <td>Yl05MqCs9xRzrJFkGWLpgA</td>\n",
              "      <td>2</td>\n",
              "      <td>2017-08-13 16:28:56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999996</th>\n",
              "      <td>eXhwli2CzubJ058MEXtCsg</td>\n",
              "      <td>os9fE0YwboRi9PDZZ7gf2w</td>\n",
              "      <td>5</td>\n",
              "      <td>2013-08-27 22:23:07</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999997</th>\n",
              "      <td>gAGUItPJ16hLyAln6MtkeA</td>\n",
              "      <td>Ej_TupknUGM1f3V5lDc9IA</td>\n",
              "      <td>5</td>\n",
              "      <td>2016-05-02 05:36:44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999998</th>\n",
              "      <td>WJrx5OjI8Ux2RNFDa3HKyA</td>\n",
              "      <td>IcHVYlgNGR-Zz8fnceiJ6g</td>\n",
              "      <td>4</td>\n",
              "      <td>2014-05-17 17:27:17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>999999</th>\n",
              "      <td>A_lR_ibGJtp8WwBzZrX6vQ</td>\n",
              "      <td>rtwojGcYuhbLbQ9D1Z2gSg</td>\n",
              "      <td>4</td>\n",
              "      <td>2013-09-16 01:42:01</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000000 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                       user_id  ...                date\n",
              "0       OwjRMXRC0KyPrIlcjaXeFQ  ... 2015-04-15 05:21:16\n",
              "1       nIJD_7ZXHq-FX8byPMOkMQ  ... 2013-12-07 03:16:52\n",
              "2       V34qejxNsCbcgD8C0HVk-Q  ... 2015-12-05 03:18:11\n",
              "3       ofKDkJKXSKZXu5xJNGiiBQ  ... 2011-05-27 05:30:52\n",
              "4       UgMW8bLE0QMJDCkQ1Ax5Mg  ... 2017-01-14 21:56:57\n",
              "...                        ...  ...                 ...\n",
              "999995  D5uuGWFxVKyY7ti104yy4A  ... 2017-08-13 16:28:56\n",
              "999996  eXhwli2CzubJ058MEXtCsg  ... 2013-08-27 22:23:07\n",
              "999997  gAGUItPJ16hLyAln6MtkeA  ... 2016-05-02 05:36:44\n",
              "999998  WJrx5OjI8Ux2RNFDa3HKyA  ... 2014-05-17 17:27:17\n",
              "999999  A_lR_ibGJtp8WwBzZrX6vQ  ... 2013-09-16 01:42:01\n",
              "\n",
              "[1000000 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OMUlDPqRCrys",
        "outputId": "22a241c0-3596-45cb-be7f-c37373380458",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 262
        }
      },
      "source": [
        "# Businesses in Toronto and currently open business\n",
        "city = subset_business[(subset_business['city'] == 'Toronto')] #& (subset_business['is_open'] == 1)]\n",
        "toronto = city[['business_id','name','address', 'categories', 'attributes','stars']]\n",
        "rest = toronto.reset_index()\n",
        "rest.head()   "
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>index</th>\n",
              "      <th>business_id</th>\n",
              "      <th>name</th>\n",
              "      <th>address</th>\n",
              "      <th>categories</th>\n",
              "      <th>attributes</th>\n",
              "      <th>stars</th>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>9</td>\n",
              "      <td>EosRKXIGeSWFYWwpkbhNnA</td>\n",
              "      <td>Xtreme Couture</td>\n",
              "      <td>700 Kipling Avenue Etobicoke</td>\n",
              "      <td>Martial Arts, Gyms, Fitness &amp; Instruction, Act...</td>\n",
              "      <td>{'GoodForKids': 'True', 'ByAppointmentOnly': '...</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>26</td>\n",
              "      <td>1wWneWD_E1pBIyVpdHMaQg</td>\n",
              "      <td>Air Jordan Store</td>\n",
              "      <td>306 Yonge Street</td>\n",
              "      <td>Shopping, Shoe Stores, Fashion</td>\n",
              "      <td>{'RestaurantsPriceRange2': '3', 'BikeParking':...</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>29</td>\n",
              "      <td>007Dg4ESDVacWcC4Vq704Q</td>\n",
              "      <td>Front Door Organics</td>\n",
              "      <td>415 Horner Avenue</td>\n",
              "      <td>Shopping, Food, Organic Stores, Specialty Food...</td>\n",
              "      <td>{'RestaurantsPriceRange2': '3', 'BikeParking':...</td>\n",
              "      <td>4.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>38</td>\n",
              "      <td>rVBPQdeayMYht4Uv_FOLHg</td>\n",
              "      <td>Gourmet Burger Company</td>\n",
              "      <td>843 Kipling Avenue</td>\n",
              "      <td>Restaurants, Burgers, Food</td>\n",
              "      <td>{'RestaurantsPriceRange2': '2', 'RestaurantsAt...</td>\n",
              "      <td>3.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>52</td>\n",
              "      <td>9JCjKd6eFXsAMVwouTh_4Q</td>\n",
              "      <td>Bath and Body Works</td>\n",
              "      <td>1900 Eglintion Ave E</td>\n",
              "      <td>Cosmetics &amp; Beauty Supply, Shopping, Beauty &amp; ...</td>\n",
              "      <td>{'RestaurantsPriceRange2': '2', 'ByAppointment...</td>\n",
              "      <td>3.5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   index  ... stars\n",
              "0      9  ...   3.0\n",
              "1     26  ...   4.0\n",
              "2     29  ...   4.0\n",
              "3     38  ...   3.0\n",
              "4     52  ...   3.5\n",
              "\n",
              "[5 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 74
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tm-wvEdL-V8H",
        "outputId": "c3ce6ae4-7b0b-45c5-c62f-7d4fcecdb2cb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        }
      },
      "source": [
        "# pull out names and addresses of the restaurants from rest table\n",
        "restaurant = rest[['business_id', 'name', 'address','categories']]\n",
        "restaurant"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>business_id</th>\n",
              "      <th>name</th>\n",
              "      <th>address</th>\n",
              "      <th>categories</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>EosRKXIGeSWFYWwpkbhNnA</td>\n",
              "      <td>Xtreme Couture</td>\n",
              "      <td>700 Kipling Avenue Etobicoke</td>\n",
              "      <td>Martial Arts, Gyms, Fitness &amp; Instruction, Act...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1wWneWD_E1pBIyVpdHMaQg</td>\n",
              "      <td>Air Jordan Store</td>\n",
              "      <td>306 Yonge Street</td>\n",
              "      <td>Shopping, Shoe Stores, Fashion</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>007Dg4ESDVacWcC4Vq704Q</td>\n",
              "      <td>Front Door Organics</td>\n",
              "      <td>415 Horner Avenue</td>\n",
              "      <td>Shopping, Food, Organic Stores, Specialty Food...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>rVBPQdeayMYht4Uv_FOLHg</td>\n",
              "      <td>Gourmet Burger Company</td>\n",
              "      <td>843 Kipling Avenue</td>\n",
              "      <td>Restaurants, Burgers, Food</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>9JCjKd6eFXsAMVwouTh_4Q</td>\n",
              "      <td>Bath and Body Works</td>\n",
              "      <td>1900 Eglintion Ave E</td>\n",
              "      <td>Cosmetics &amp; Beauty Supply, Shopping, Beauty &amp; ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20361</th>\n",
              "      <td>GAgEoHcf4PSuZRS5Zd3ltA</td>\n",
              "      <td>Q's Shawarma</td>\n",
              "      <td>1075 Martin Grove Road</td>\n",
              "      <td>Restaurants, Mediterranean</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20362</th>\n",
              "      <td>8Oe-fb9nSE_dumMzl0B5Eg</td>\n",
              "      <td>Toronto Hippo Tours</td>\n",
              "      <td>151 Front Street W</td>\n",
              "      <td>Tours, Hotels &amp; Travel</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20363</th>\n",
              "      <td>BtTCTHwoIfr3fBQjaOkpIw</td>\n",
              "      <td>Starbucks</td>\n",
              "      <td>81 Front Street E</td>\n",
              "      <td>Coffee &amp; Tea, Food</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20364</th>\n",
              "      <td>n2BKYb8aw4AhRKLkdUjQRg</td>\n",
              "      <td>Steak &amp; Cheese &amp; Quick Pita Restaurant</td>\n",
              "      <td>199 College St</td>\n",
              "      <td>Sandwiches, Restaurants</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20365</th>\n",
              "      <td>tOcYmewXFhQeZh3V42ymwg</td>\n",
              "      <td>Kudlow Ye</td>\n",
              "      <td>21 St Clair Avenue E, Suite 401</td>\n",
              "      <td>Tax Services, Professional Services, Accountan...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>20366 rows × 4 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                  business_id  ...                                         categories\n",
              "0      EosRKXIGeSWFYWwpkbhNnA  ...  Martial Arts, Gyms, Fitness & Instruction, Act...\n",
              "1      1wWneWD_E1pBIyVpdHMaQg  ...                     Shopping, Shoe Stores, Fashion\n",
              "2      007Dg4ESDVacWcC4Vq704Q  ...  Shopping, Food, Organic Stores, Specialty Food...\n",
              "3      rVBPQdeayMYht4Uv_FOLHg  ...                         Restaurants, Burgers, Food\n",
              "4      9JCjKd6eFXsAMVwouTh_4Q  ...  Cosmetics & Beauty Supply, Shopping, Beauty & ...\n",
              "...                       ...  ...                                                ...\n",
              "20361  GAgEoHcf4PSuZRS5Zd3ltA  ...                         Restaurants, Mediterranean\n",
              "20362  8Oe-fb9nSE_dumMzl0B5Eg  ...                             Tours, Hotels & Travel\n",
              "20363  BtTCTHwoIfr3fBQjaOkpIw  ...                                 Coffee & Tea, Food\n",
              "20364  n2BKYb8aw4AhRKLkdUjQRg  ...                            Sandwiches, Restaurants\n",
              "20365  tOcYmewXFhQeZh3V42ymwg  ...  Tax Services, Professional Services, Accountan...\n",
              "\n",
              "[20366 rows x 4 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 75
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xmZezR9wuD_p",
        "outputId": "328e4ef1-8637-447b-88df-abcc8dd7d1b3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 570
        }
      },
      "source": [
        "# combine df_review and restaurant table\n",
        "combined_business_data = pd.merge(df_review, restaurant, on='business_id')\n",
        "combined_business_data"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>user_id</th>\n",
              "      <th>business_id</th>\n",
              "      <th>stars</th>\n",
              "      <th>date</th>\n",
              "      <th>name</th>\n",
              "      <th>address</th>\n",
              "      <th>categories</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>TZQSUDDcA4ek5gBd6BzcjA</td>\n",
              "      <td>qUWqjjjfpB2-4P3He5rsKw</td>\n",
              "      <td>4</td>\n",
              "      <td>2017-06-06 19:04:10</td>\n",
              "      <td>Levetto</td>\n",
              "      <td>382 Spadina Avenue, Main Floor</td>\n",
              "      <td>Pizza, Italian, Salad, Restaurants</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Nq6e5N8bjgD9B46O4va_zA</td>\n",
              "      <td>qUWqjjjfpB2-4P3He5rsKw</td>\n",
              "      <td>4</td>\n",
              "      <td>2017-10-24 23:16:12</td>\n",
              "      <td>Levetto</td>\n",
              "      <td>382 Spadina Avenue, Main Floor</td>\n",
              "      <td>Pizza, Italian, Salad, Restaurants</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>wPLEzIlIUnTgc0lkJL_TmQ</td>\n",
              "      <td>qUWqjjjfpB2-4P3He5rsKw</td>\n",
              "      <td>4</td>\n",
              "      <td>2017-02-19 20:12:25</td>\n",
              "      <td>Levetto</td>\n",
              "      <td>382 Spadina Avenue, Main Floor</td>\n",
              "      <td>Pizza, Italian, Salad, Restaurants</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>TX5kwQLpKUDvNf4mfdaH3Q</td>\n",
              "      <td>qUWqjjjfpB2-4P3He5rsKw</td>\n",
              "      <td>5</td>\n",
              "      <td>2016-06-22 22:57:44</td>\n",
              "      <td>Levetto</td>\n",
              "      <td>382 Spadina Avenue, Main Floor</td>\n",
              "      <td>Pizza, Italian, Salad, Restaurants</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>fSYQ_oQ0wNGk2nMJLvNZJA</td>\n",
              "      <td>qUWqjjjfpB2-4P3He5rsKw</td>\n",
              "      <td>5</td>\n",
              "      <td>2016-12-19 22:45:59</td>\n",
              "      <td>Levetto</td>\n",
              "      <td>382 Spadina Avenue, Main Floor</td>\n",
              "      <td>Pizza, Italian, Salad, Restaurants</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71005</th>\n",
              "      <td>ZSRZX2f5gthi9e2TwSBKZA</td>\n",
              "      <td>zY9VIy1JlLsOpBgKeMbXQQ</td>\n",
              "      <td>5</td>\n",
              "      <td>2016-08-10 17:40:03</td>\n",
              "      <td>Cellicon</td>\n",
              "      <td>CF Toronto Eaton Centre, 220 Yonge Street , Su...</td>\n",
              "      <td>Mobile Phone Repair, Electronics Repair, Local...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71006</th>\n",
              "      <td>p8Pjhqm4dopSUdnMN5_6Uw</td>\n",
              "      <td>kQOG4qVQCNiUXFfMGpI0Rw</td>\n",
              "      <td>5</td>\n",
              "      <td>2017-05-21 21:06:36</td>\n",
              "      <td>Origin Wellness</td>\n",
              "      <td>2017 Danforth Avenue, Suite 100B</td>\n",
              "      <td>Health &amp; Medical, Beauty &amp; Spas, Massage</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71007</th>\n",
              "      <td>vJGLEHyhCs9V-5fAe-xx3w</td>\n",
              "      <td>E9K1wSwr-3y7TIaVaoa-9g</td>\n",
              "      <td>2</td>\n",
              "      <td>2011-06-08 17:40:53</td>\n",
              "      <td>Irish Potato Nachos</td>\n",
              "      <td>213 Church St</td>\n",
              "      <td>Food, Specialty Food, Irish, Restaurants</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71008</th>\n",
              "      <td>4yQtGuSUtHhQTcWFrD2Lnw</td>\n",
              "      <td>fFKbj19pBWMQosCn9qsTdw</td>\n",
              "      <td>5</td>\n",
              "      <td>2018-02-10 02:03:07</td>\n",
              "      <td>Lebel &amp; Crowe</td>\n",
              "      <td>1491 Dundas Street W</td>\n",
              "      <td>Beauty &amp; Spas, Hair Salons</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71009</th>\n",
              "      <td>eXhwli2CzubJ058MEXtCsg</td>\n",
              "      <td>os9fE0YwboRi9PDZZ7gf2w</td>\n",
              "      <td>5</td>\n",
              "      <td>2013-08-27 22:23:07</td>\n",
              "      <td>EweKnit</td>\n",
              "      <td>585 Markham Street</td>\n",
              "      <td>Shopping, Knitting Supplies</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>71010 rows × 7 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                      user_id  ...                                         categories\n",
              "0      TZQSUDDcA4ek5gBd6BzcjA  ...                 Pizza, Italian, Salad, Restaurants\n",
              "1      Nq6e5N8bjgD9B46O4va_zA  ...                 Pizza, Italian, Salad, Restaurants\n",
              "2      wPLEzIlIUnTgc0lkJL_TmQ  ...                 Pizza, Italian, Salad, Restaurants\n",
              "3      TX5kwQLpKUDvNf4mfdaH3Q  ...                 Pizza, Italian, Salad, Restaurants\n",
              "4      fSYQ_oQ0wNGk2nMJLvNZJA  ...                 Pizza, Italian, Salad, Restaurants\n",
              "...                       ...  ...                                                ...\n",
              "71005  ZSRZX2f5gthi9e2TwSBKZA  ...  Mobile Phone Repair, Electronics Repair, Local...\n",
              "71006  p8Pjhqm4dopSUdnMN5_6Uw  ...           Health & Medical, Beauty & Spas, Massage\n",
              "71007  vJGLEHyhCs9V-5fAe-xx3w  ...           Food, Specialty Food, Irish, Restaurants\n",
              "71008  4yQtGuSUtHhQTcWFrD2Lnw  ...                         Beauty & Spas, Hair Salons\n",
              "71009  eXhwli2CzubJ058MEXtCsg  ...                        Shopping, Knitting Supplies\n",
              "\n",
              "[71010 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_YmYrlbyE0st",
        "outputId": "a83d814b-c9dc-42d2-acef-9991912b72fb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        }
      },
      "source": [
        "print('how many users?：',len(combined_business_data['user_id'].drop_duplicates()))\n",
        "print('how many locations?：',len(combined_business_data['business_id'].drop_duplicates()))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "how many users?： 35090\n",
            "how many locations?： 3527\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tF7uWmz3Fx31",
        "outputId": "6fffedf7-9c15-4878-ac9e-53ca5a9cc553",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 679
        }
      },
      "source": [
        "#data display\n",
        "x=combined_business_data['stars'].value_counts()\n",
        "x=x.sort_index()\n",
        "#plot\n",
        "plt.figure(figsize=(8,4))\n",
        "ax= sns.barplot(x.index, x.values, alpha=0.8)\n",
        "\n",
        "business_cats = ''.join(combined_business_data['categories'].astype('str'))\n",
        "cats=pd.DataFrame(business_cats.split(','),columns=['categories'])\n",
        "#prep for chart\n",
        "x=cats.categories.value_counts()\n",
        "\n",
        "x=x.sort_values(ascending=False)\n",
        "x=x.iloc[0:20]\n",
        "#chart\n",
        "plt.figure(figsize=(16,4))\n",
        "ax = sns.barplot(x.index, x.values, alpha=0.8)#,color=color[5])\n",
        "plt.title(\"What are the top categories?\",fontsize=25)\n",
        "locs, labels = plt.xticks()\n",
        "plt.setp(labels, rotation=80)\n",
        "plt.ylabel('# businesses', fontsize=12)\n",
        "plt.xlabel('Category', fontsize=12)\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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8yfg+90bgbUk+N92RZlNVHRrnh4EvM/8/d7ZmzNXeODDrM8DDVfWJac8zq5JsSHLauPwK4I+A7013qtlRVR+uqs1VtYX5n7T+r6p675THmjlJTh0HypLkVGA70P6vjYz5KkvyBeC/gdclOZjk8mnPNIPeBLyP+T2Ze8fpomkPNYM2AXcmuY/5/09hX1X551PqZiPwjSTfBb4FfKWqvjblmVbMP02TJKk598wlSWrOmEuS1JwxlySpOWMuSVJzxlySpOaMuSRJzRlzSZKa+z/lmpmEL4rPPAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 576x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Zplg2DKMEeTl",
        "outputId": "30c90fce-b321-4868-87e4-895767ea453c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        }
      },
      "source": [
        "#final necessary data\n",
        "dataset=combined_business_data[['user_id', 'business_id', 'stars']]\n",
        "dataset"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>user_id</th>\n",
              "      <th>business_id</th>\n",
              "      <th>stars</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>TZQSUDDcA4ek5gBd6BzcjA</td>\n",
              "      <td>qUWqjjjfpB2-4P3He5rsKw</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Nq6e5N8bjgD9B46O4va_zA</td>\n",
              "      <td>qUWqjjjfpB2-4P3He5rsKw</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>wPLEzIlIUnTgc0lkJL_TmQ</td>\n",
              "      <td>qUWqjjjfpB2-4P3He5rsKw</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>TX5kwQLpKUDvNf4mfdaH3Q</td>\n",
              "      <td>qUWqjjjfpB2-4P3He5rsKw</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>fSYQ_oQ0wNGk2nMJLvNZJA</td>\n",
              "      <td>qUWqjjjfpB2-4P3He5rsKw</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71005</th>\n",
              "      <td>ZSRZX2f5gthi9e2TwSBKZA</td>\n",
              "      <td>zY9VIy1JlLsOpBgKeMbXQQ</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71006</th>\n",
              "      <td>p8Pjhqm4dopSUdnMN5_6Uw</td>\n",
              "      <td>kQOG4qVQCNiUXFfMGpI0Rw</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71007</th>\n",
              "      <td>vJGLEHyhCs9V-5fAe-xx3w</td>\n",
              "      <td>E9K1wSwr-3y7TIaVaoa-9g</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71008</th>\n",
              "      <td>4yQtGuSUtHhQTcWFrD2Lnw</td>\n",
              "      <td>fFKbj19pBWMQosCn9qsTdw</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71009</th>\n",
              "      <td>eXhwli2CzubJ058MEXtCsg</td>\n",
              "      <td>os9fE0YwboRi9PDZZ7gf2w</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>71010 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                      user_id             business_id  stars\n",
              "0      TZQSUDDcA4ek5gBd6BzcjA  qUWqjjjfpB2-4P3He5rsKw      4\n",
              "1      Nq6e5N8bjgD9B46O4va_zA  qUWqjjjfpB2-4P3He5rsKw      4\n",
              "2      wPLEzIlIUnTgc0lkJL_TmQ  qUWqjjjfpB2-4P3He5rsKw      4\n",
              "3      TX5kwQLpKUDvNf4mfdaH3Q  qUWqjjjfpB2-4P3He5rsKw      5\n",
              "4      fSYQ_oQ0wNGk2nMJLvNZJA  qUWqjjjfpB2-4P3He5rsKw      5\n",
              "...                       ...                     ...    ...\n",
              "71005  ZSRZX2f5gthi9e2TwSBKZA  zY9VIy1JlLsOpBgKeMbXQQ      5\n",
              "71006  p8Pjhqm4dopSUdnMN5_6Uw  kQOG4qVQCNiUXFfMGpI0Rw      5\n",
              "71007  vJGLEHyhCs9V-5fAe-xx3w  E9K1wSwr-3y7TIaVaoa-9g      2\n",
              "71008  4yQtGuSUtHhQTcWFrD2Lnw  fFKbj19pBWMQosCn9qsTdw      5\n",
              "71009  eXhwli2CzubJ058MEXtCsg  os9fE0YwboRi9PDZZ7gf2w      5\n",
              "\n",
              "[71010 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_UKJjbgQEehd",
        "outputId": "bd062acd-3e4a-491a-e41c-be65b7f4edbc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 603
        }
      },
      "source": [
        "#convert id to number\n",
        "dictionary_user=dict(zip(list(dataset['user_id'].drop_duplicates().values), range(len(dataset['user_id'].drop_duplicates().values))))\n",
        "dictionary_business=dict(zip(list(dataset['business_id'].drop_duplicates().values), range(len(dataset['business_id'].drop_duplicates().values))))\n",
        "user_set=[]\n",
        "for user in dataset['user_id']:\n",
        "  user_set.append(dictionary_user[user]+1)\n",
        "business_set=[]\n",
        "for business in dataset['business_id']:\n",
        "  business_set.append(dictionary_business[business]+1)\n",
        "dataset['user_id']=user_set\n",
        "dataset['business_id']=business_set\n",
        "dataset"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:10: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  # Remove the CWD from sys.path while we load stuff.\n",
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:11: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  # This is added back by InteractiveShellApp.init_path()\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\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>user_id</th>\n",
              "      <th>business_id</th>\n",
              "      <th>stars</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
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              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71005</th>\n",
              "      <td>35090</td>\n",
              "      <td>3523</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71006</th>\n",
              "      <td>17647</td>\n",
              "      <td>3524</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71007</th>\n",
              "      <td>6290</td>\n",
              "      <td>3525</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71008</th>\n",
              "      <td>24585</td>\n",
              "      <td>3526</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71009</th>\n",
              "      <td>10713</td>\n",
              "      <td>3527</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>71010 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       user_id  business_id  stars\n",
              "0            1            1      4\n",
              "1            2            1      4\n",
              "2            3            1      4\n",
              "3            4            1      5\n",
              "4            5            1      5\n",
              "...        ...          ...    ...\n",
              "71005    35090         3523      5\n",
              "71006    17647         3524      5\n",
              "71007     6290         3525      2\n",
              "71008    24585         3526      5\n",
              "71009    10713         3527      5\n",
              "\n",
              "[71010 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "z6lTda69Xmbj",
        "outputId": "1971e606-51ae-4792-ddfd-1c2c011f10f7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 402
        }
      },
      "source": [
        "#store the dataset and then read it \n",
        "dataset.to_csv('rating.csv',header=0,index=0)\n",
        "pd.read_csv('rating.csv')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>1</th>\n",
              "      <th>1.1</th>\n",
              "      <th>4</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>5</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>6</td>\n",
              "      <td>1</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71004</th>\n",
              "      <td>35090</td>\n",
              "      <td>3523</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71005</th>\n",
              "      <td>17647</td>\n",
              "      <td>3524</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71006</th>\n",
              "      <td>6290</td>\n",
              "      <td>3525</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71007</th>\n",
              "      <td>24585</td>\n",
              "      <td>3526</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71008</th>\n",
              "      <td>10713</td>\n",
              "      <td>3527</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>71009 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "           1   1.1  4\n",
              "0          2     1  4\n",
              "1          3     1  4\n",
              "2          4     1  5\n",
              "3          5     1  5\n",
              "4          6     1  5\n",
              "...      ...   ... ..\n",
              "71004  35090  3523  5\n",
              "71005  17647  3524  5\n",
              "71006   6290  3525  2\n",
              "71007  24585  3526  5\n",
              "71008  10713  3527  5\n",
              "\n",
              "[71009 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oI-I1pklY3wT"
      },
      "source": [
        "#!git clone https://github.com/Zinc-30/social-recommendation-using-matrix-factorization.git"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_YYiiAKOEeLm"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}