The_battle_of_Neighborhood.ipynb

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  "metadata": {
    "colab": {
      "name": "PythonTutorial.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7xKOKlKkSgtr",
        "colab_type": "text"
      },
      "source": [
        "# Open a restaurant in urban district, Hanoi\n",
        "### Applied Data Science Capstone by IBM/Coursera"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Qw3vBnHcUYU_",
        "colab_type": "text"
      },
      "source": [
        "## Problem statement\n",
        "In order to answer the question, where should a client/an investor invest to open a restaurant in urban district of Hanoi with higher chance of getting more profits and reduce the risk of being losing their money in the long-term. One of the good anwsers to this question is data science and some available software tools/algorithms. By using some analytics, some solutions can give to the clients to have a better understanding about their problems.  "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "efAnvu8GVjCb",
        "colab_type": "text"
      },
      "source": [
        "## Data presentation\n",
        "1. Data about each administrative unit of Hanoi is obtained from following link. ([here](https://en.wikipedia.org/wiki/Hanoi))\n",
        "2. Housing price for each neighborhood in Ha noi can be found at [lease price in Hanoi](https://mogi.vn/gia-nha-dat).\n",
        "3. The latitute and longitude coordination for each neighborhood can be retrieved from geopy that is a open source library using Python."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K54A1P1NXPf2",
        "colab_type": "text"
      },
      "source": [
        "## Methodology\n",
        "1. To start, the first thing to mention is, both **numpy** and **pandas** are used to manipulate the data and dataframe.\n",
        "2. The next step, the administrative units of Hanoi are obtained by **scraping** the wikipedia webpage. And then, the price of housing in each district is done by scraping another website that mentioned in step 2. of Data presentation. In both cases, **Beutifulshop** from ps4 open source package are used to carried out the task.\n",
        "3. In order to explore the data more convenient, some figures have been generated using the open source package like **matplotlib.pyplot**.  \n",
        "4. An important metric like population density is computed and add to the data frame from the total population and area of each district.\n",
        "5. In order to retreive latitude and longitude from each administrative unit of Hanoi, the **geopy.geocoders.Nominatim** is used and then two columns latitude and longitude are added to the dataframe.\n",
        "6. When the collected data in data frame are fulfilled, all longitude and latitude for each district are plotted and visualized on the real map using **folium** open source package.\n",
        "7. In this project, we are interested in the venues like restaurants to see how they distributed across the map of Hanoi, so the **Foursquare API** is very useful to deploy.\n",
        "8. To extract the meaningful pattern of all restaurants in Hanoi, the **kMeans clusterers** (in the **sklearn.clusters** open source package) is used. To decide which number of clusters we should use, the classical method like **Elbow method** has been used and the graph show the Inertia depending on the number of clusters is presented.\n",
        "9. A decision has been done based on the available data obtained after process and use aforementioned method.\n",
        "10. Some notes about pros and cons that have been carried out draw a conclusion for this project"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iDRuwEVNSfgU",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Scrape the web to get the data\n",
        "from bs4 import BeautifulSoup\n",
        "import requests\n",
        "\n",
        "# processing data in frame\n",
        "import pandas as pd\n",
        "\n",
        "# remove accent from Vietnamese string or name \n",
        "!pip install unidecode\n",
        "from unidecode import unidecode\n",
        "\n",
        "# numpy to use np.nan\n",
        "import numpy as np\n",
        "\n",
        "# retrieve coordination for location name\n",
        "from geopy.geocoders import Nominatim\n",
        "import time\n",
        "\n",
        "# plot the coordination on maps\n",
        "import folium\n",
        "\n",
        "# convert JSON format file into a pandas dataframe\n",
        "from pandas.io.json import json_normalize\n",
        "\n",
        "# import k-means for clustering the district to find common pattern\n",
        "from sklearn.cluster import KMeans\n",
        "\n",
        "# Matplotlib and associated plotting modules\n",
        "import matplotlib.cm as cm\n",
        "import matplotlib.colors as colors\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Z8-qpkcg-aLh",
        "colab_type": "code",
        "outputId": "c35d32a6-879d-448e-9030-4be2825a78f0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Drive already mounted at /content/gdrive; to attempt to forcibly remount, call drive.mount(\"/content/gdrive\", force_remount=True).\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "bU3mLAvHUxt7",
        "colab_type": "text"
      },
      "source": [
        "# District data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "G-DbblaYHHag",
        "colab_type": "code",
        "outputId": "f81d45f5-5d0f-4776-92fe-61e630ad28b2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 979
        }
      },
      "source": [
        "# get data from wiki table\n",
        "data_hanoi_wiki = requests.get(\"https://en.wikipedia.org/wiki/Hanoi\").text\n",
        "soup = BeautifulSoup(data_hanoi_wiki, 'lxml')\n",
        "table_hanoi_wiki = soup.find(name = 'span', attrs={\"id\" : \"List_of_local_government_divisions\"}).parent.next_sibling.next_sibling\n",
        "table_hanoi_rows = table_hanoi_wiki.find_all('tr')\n",
        "row_items = []\n",
        "for row in table_hanoi_rows:\n",
        "  row_td = row.find_all('td')\n",
        "  row_item = [item.text for item in row_td]\n",
        "  row_items.append(row_item)\n",
        "\n",
        "# remove those rows that not having no meaningful\n",
        "row_items_new = []\n",
        "for row in row_items:\n",
        "  if len(row) == 4:\n",
        "    row_items_new.append(row)\n",
        "\n",
        "# remove two unnecessary last rows and subtotal rows\n",
        "del row_items_new[12]    \n",
        "del row_items_new[-2:]\n",
        "\n",
        "# convert to dataframe\n",
        "df_hanoi = pd.DataFrame(row_items_new, columns = ['name_of_district', 'number_of_ward', 'square_km2', 'population'])\n",
        "\n",
        "# remove HT in the end of some district name\n",
        "df_hanoi['name_of_district'] = [d.replace('HT','') if d[-2:] == 'HT' else d for d in df_hanoi['name_of_district'].values ]\n",
        "\n",
        "# remove newline characters, ',' in population and change its type to 'int'\n",
        "df_hanoi['population'] = df_hanoi['population'].apply(lambda x: x.strip()).apply(lambda x: x.replace(',', '')).astype(int)\n",
        "\n",
        "# change type column 'square_km2' to float and round off to 1 decimal\n",
        "df_hanoi['square_km2'] = df_hanoi['square_km2'].astype(float).apply(lambda x: round(x,1))\n",
        "\n",
        "# remove ward(wards) and '+' from number of wards and sum those lines if possibles\n",
        "df_hanoi['number_of_ward'] = df_hanoi['number_of_ward'].apply(lambda x: x.split()).apply(lambda x: int(x[0]) if len(x)==1 else int(x[0])+int(x[2]))\n",
        "\n",
        "# round off 0 decimal of column 'density_per_km2'\n",
        "df_hanoi['density_per_km2'] = (df_hanoi['population']/df_hanoi['square_km2']).apply(lambda x: round(x))\n",
        "df_hanoi['name_of_district'] = df_hanoi['name_of_district'].apply(unidecode)\n",
        "df_hanoi"
      ],
      "execution_count": 3,
      "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>name_of_district</th>\n",
              "      <th>number_of_ward</th>\n",
              "      <th>square_km2</th>\n",
              "      <th>population</th>\n",
              "      <th>density_per_km2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>14</td>\n",
              "      <td>9.2</td>\n",
              "      <td>247100</td>\n",
              "      <td>26859</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bac Tu Liem</td>\n",
              "      <td>13</td>\n",
              "      <td>43.4</td>\n",
              "      <td>333300</td>\n",
              "      <td>7680</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Cau Giay</td>\n",
              "      <td>8</td>\n",
              "      <td>12.0</td>\n",
              "      <td>266800</td>\n",
              "      <td>22233</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Dong Da</td>\n",
              "      <td>21</td>\n",
              "      <td>10.0</td>\n",
              "      <td>420900</td>\n",
              "      <td>42090</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hai Ba Trung</td>\n",
              "      <td>20</td>\n",
              "      <td>10.1</td>\n",
              "      <td>318000</td>\n",
              "      <td>31485</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Ha Dong</td>\n",
              "      <td>17</td>\n",
              "      <td>47.9</td>\n",
              "      <td>319800</td>\n",
              "      <td>6676</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Hoan Kiem</td>\n",
              "      <td>18</td>\n",
              "      <td>5.3</td>\n",
              "      <td>160600</td>\n",
              "      <td>30302</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Hoang Mai</td>\n",
              "      <td>14</td>\n",
              "      <td>41.0</td>\n",
              "      <td>411500</td>\n",
              "      <td>10037</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Long Bien</td>\n",
              "      <td>14</td>\n",
              "      <td>60.4</td>\n",
              "      <td>291900</td>\n",
              "      <td>4833</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Nam Tu Liem</td>\n",
              "      <td>10</td>\n",
              "      <td>32.3</td>\n",
              "      <td>236700</td>\n",
              "      <td>7328</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Tay Ho</td>\n",
              "      <td>8</td>\n",
              "      <td>24.0</td>\n",
              "      <td>168300</td>\n",
              "      <td>7012</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Thanh Xuan</td>\n",
              "      <td>11</td>\n",
              "      <td>9.1</td>\n",
              "      <td>285400</td>\n",
              "      <td>31363</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Son Tay</td>\n",
              "      <td>15</td>\n",
              "      <td>117.4</td>\n",
              "      <td>150300</td>\n",
              "      <td>1280</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Ba Vi</td>\n",
              "      <td>31</td>\n",
              "      <td>428.0</td>\n",
              "      <td>282600</td>\n",
              "      <td>660</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Chuong My</td>\n",
              "      <td>32</td>\n",
              "      <td>237.4</td>\n",
              "      <td>331100</td>\n",
              "      <td>1395</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Dan Phuong</td>\n",
              "      <td>16</td>\n",
              "      <td>78.8</td>\n",
              "      <td>162900</td>\n",
              "      <td>2067</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Dong Anh</td>\n",
              "      <td>24</td>\n",
              "      <td>185.6</td>\n",
              "      <td>381500</td>\n",
              "      <td>2055</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Gia Lam</td>\n",
              "      <td>22</td>\n",
              "      <td>116.0</td>\n",
              "      <td>276000</td>\n",
              "      <td>2379</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Hoai Duc</td>\n",
              "      <td>20</td>\n",
              "      <td>95.3</td>\n",
              "      <td>229400</td>\n",
              "      <td>2407</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Me Linh</td>\n",
              "      <td>18</td>\n",
              "      <td>142.3</td>\n",
              "      <td>226800</td>\n",
              "      <td>1594</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>My Duc</td>\n",
              "      <td>22</td>\n",
              "      <td>230.0</td>\n",
              "      <td>194400</td>\n",
              "      <td>845</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Phu Xuyen</td>\n",
              "      <td>28</td>\n",
              "      <td>171.1</td>\n",
              "      <td>211100</td>\n",
              "      <td>1234</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Phuc Tho</td>\n",
              "      <td>23</td>\n",
              "      <td>113.2</td>\n",
              "      <td>182300</td>\n",
              "      <td>1610</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Quoc Oai</td>\n",
              "      <td>21</td>\n",
              "      <td>151.1</td>\n",
              "      <td>188000</td>\n",
              "      <td>1244</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Soc Son</td>\n",
              "      <td>26</td>\n",
              "      <td>306.5</td>\n",
              "      <td>340700</td>\n",
              "      <td>1112</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>Thanh Tri</td>\n",
              "      <td>16</td>\n",
              "      <td>63.4</td>\n",
              "      <td>256800</td>\n",
              "      <td>4050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>Thanh Oai</td>\n",
              "      <td>21</td>\n",
              "      <td>129.6</td>\n",
              "      <td>205200</td>\n",
              "      <td>1583</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>Thach That</td>\n",
              "      <td>23</td>\n",
              "      <td>128.1</td>\n",
              "      <td>207500</td>\n",
              "      <td>1620</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>Thuong Tin</td>\n",
              "      <td>29</td>\n",
              "      <td>130.7</td>\n",
              "      <td>247700</td>\n",
              "      <td>1895</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>Ung Hoa</td>\n",
              "      <td>29</td>\n",
              "      <td>188.7</td>\n",
              "      <td>204800</td>\n",
              "      <td>1085</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   name_of_district  number_of_ward  square_km2  population  density_per_km2\n",
              "0           Ba Dinh              14         9.2      247100            26859\n",
              "1       Bac Tu Liem              13        43.4      333300             7680\n",
              "2          Cau Giay               8        12.0      266800            22233\n",
              "3           Dong Da              21        10.0      420900            42090\n",
              "4      Hai Ba Trung              20        10.1      318000            31485\n",
              "5           Ha Dong              17        47.9      319800             6676\n",
              "6         Hoan Kiem              18         5.3      160600            30302\n",
              "7         Hoang Mai              14        41.0      411500            10037\n",
              "8         Long Bien              14        60.4      291900             4833\n",
              "9       Nam Tu Liem              10        32.3      236700             7328\n",
              "10           Tay Ho               8        24.0      168300             7012\n",
              "11       Thanh Xuan              11         9.1      285400            31363\n",
              "12          Son Tay              15       117.4      150300             1280\n",
              "13            Ba Vi              31       428.0      282600              660\n",
              "14        Chuong My              32       237.4      331100             1395\n",
              "15       Dan Phuong              16        78.8      162900             2067\n",
              "16         Dong Anh              24       185.6      381500             2055\n",
              "17          Gia Lam              22       116.0      276000             2379\n",
              "18         Hoai Duc              20        95.3      229400             2407\n",
              "19          Me Linh              18       142.3      226800             1594\n",
              "20           My Duc              22       230.0      194400              845\n",
              "21        Phu Xuyen              28       171.1      211100             1234\n",
              "22         Phuc Tho              23       113.2      182300             1610\n",
              "23         Quoc Oai              21       151.1      188000             1244\n",
              "24          Soc Son              26       306.5      340700             1112\n",
              "25        Thanh Tri              16        63.4      256800             4050\n",
              "26        Thanh Oai              21       129.6      205200             1583\n",
              "27       Thach That              23       128.1      207500             1620\n",
              "28       Thuong Tin              29       130.7      247700             1895\n",
              "29          Ung Hoa              29       188.7      204800             1085"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1pfWdsmoUrKz",
        "colab_type": "text"
      },
      "source": [
        "# Housing price"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pJ1iT7H6Z_Vx",
        "colab_type": "code",
        "outputId": "1de62e0c-f3f4-43f9-9aad-79201696719a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 824
        }
      },
      "source": [
        "# get housing price per district\n",
        "data_hanoi_price = requests.get(\"https://mogi.vn/gia-nha-dat\").text\n",
        "soup = BeautifulSoup(data_hanoi_price, 'lxml')\n",
        "table_hanoi_price = soup.find_all(name='div', attrs={'class':'district'})[1].find_all(name='div', attrs={'class':'mt-row clearfix'}) \n",
        "hanoi_price = []\n",
        "for row in table_hanoi_price:\n",
        "  row_new = [i for i in row.text.strip().split('\\n') if i][0:2]\n",
        "  hanoi_price.append(row_new)\n",
        "# create housing price frame\n",
        "df_housing_price = pd.DataFrame(hanoi_price, columns=['name_of_district','housing_price_millions_VND_m2'])\n",
        "\n",
        "# remove the word 'Quan' and 'Huyen' before name and strip vietnamese accent \n",
        "df_housing_price['name_of_district'] =df_housing_price['name_of_district'].apply(lambda x: ' '.join(x.split()[1:])).apply(unidecode)\n",
        "\n",
        "# convert price in string to standard float value\n",
        "df_housing_price['housing_price_millions_VND_m2'] = df_housing_price['housing_price_millions_VND_m2'].apply(lambda x: float(x.split()[0].replace(',','.')))\n",
        "df_housing_price"
      ],
      "execution_count": 4,
      "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>name_of_district</th>\n",
              "      <th>housing_price_millions_VND_m2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>166.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Cau Giay</td>\n",
              "      <td>144.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Dong Da</td>\n",
              "      <td>167.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Hai Ba Trung</td>\n",
              "      <td>147.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hoan Kiem</td>\n",
              "      <td>453.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Hoang Mai</td>\n",
              "      <td>82.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Long Bien</td>\n",
              "      <td>72.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Tay Ho</td>\n",
              "      <td>131.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Thanh Xuan</td>\n",
              "      <td>108.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Ha Dong</td>\n",
              "      <td>76.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Bac Tu Liem</td>\n",
              "      <td>72.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Nam Tu Liem</td>\n",
              "      <td>76.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Me Linh</td>\n",
              "      <td>12.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Chuong My</td>\n",
              "      <td>12.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Dan Phuong</td>\n",
              "      <td>16.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>Hoai Duc</td>\n",
              "      <td>44.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>Quoc Oai</td>\n",
              "      <td>7.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>Thach That</td>\n",
              "      <td>8.9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Thanh Oai</td>\n",
              "      <td>36.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>Thuong Tin</td>\n",
              "      <td>35.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>Xa Son Tay</td>\n",
              "      <td>10.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>Dong Anh</td>\n",
              "      <td>27.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>Gia Lam</td>\n",
              "      <td>40.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>Soc Son</td>\n",
              "      <td>19.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>Thanh Tri</td>\n",
              "      <td>63.9</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   name_of_district  housing_price_millions_VND_m2\n",
              "0           Ba Dinh                          166.0\n",
              "1          Cau Giay                          144.0\n",
              "2           Dong Da                          167.0\n",
              "3      Hai Ba Trung                          147.0\n",
              "4         Hoan Kiem                          453.0\n",
              "5         Hoang Mai                           82.5\n",
              "6         Long Bien                           72.0\n",
              "7            Tay Ho                          131.0\n",
              "8        Thanh Xuan                          108.0\n",
              "9           Ha Dong                           76.7\n",
              "10      Bac Tu Liem                           72.4\n",
              "11      Nam Tu Liem                           76.8\n",
              "12          Me Linh                           12.5\n",
              "13        Chuong My                           12.0\n",
              "14       Dan Phuong                           16.5\n",
              "15         Hoai Duc                           44.5\n",
              "16         Quoc Oai                            7.5\n",
              "17       Thach That                            8.9\n",
              "18        Thanh Oai                           36.5\n",
              "19       Thuong Tin                           35.0\n",
              "20       Xa Son Tay                           10.2\n",
              "21         Dong Anh                           27.7\n",
              "22          Gia Lam                           40.4\n",
              "23          Soc Son                           19.2\n",
              "24        Thanh Tri                           63.9"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "seSib87YhDYD",
        "colab_type": "text"
      },
      "source": [
        "## Merge two table into one"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J0ZL_CsMg_X6",
        "colab_type": "code",
        "outputId": "7ea03d44-5912-4ff8-f499-8494f9701934",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        }
      },
      "source": [
        "# merge housing price for each district\n",
        "data_hanoi = pd.merge(df_hanoi, df_housing_price, how='left', on='name_of_district')\n",
        "index_nan = [x for x in range(len(data_hanoi['housing_price_millions_VND_m2'])) if np.isnan(data_hanoi.iloc[x,5])]\n",
        "data_hanoi.drop(index_nan)\n",
        "\n",
        "# remove some districts that are low density (less than 2000 person per km2) population or larger than 100 km2\n",
        "index_drop = data_hanoi[(data_hanoi['square_km2'] > 100) | (data_hanoi['density_per_km2'] < 2000)].index\n",
        "data_hanoi.drop(index_drop, inplace=True)\n",
        "data_hanoi.reset_index(drop=True, inplace=True)\n",
        "data_hanoi"
      ],
      "execution_count": 5,
      "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>name_of_district</th>\n",
              "      <th>number_of_ward</th>\n",
              "      <th>square_km2</th>\n",
              "      <th>population</th>\n",
              "      <th>density_per_km2</th>\n",
              "      <th>housing_price_millions_VND_m2</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>14</td>\n",
              "      <td>9.2</td>\n",
              "      <td>247100</td>\n",
              "      <td>26859</td>\n",
              "      <td>166.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bac Tu Liem</td>\n",
              "      <td>13</td>\n",
              "      <td>43.4</td>\n",
              "      <td>333300</td>\n",
              "      <td>7680</td>\n",
              "      <td>72.4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Cau Giay</td>\n",
              "      <td>8</td>\n",
              "      <td>12.0</td>\n",
              "      <td>266800</td>\n",
              "      <td>22233</td>\n",
              "      <td>144.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Dong Da</td>\n",
              "      <td>21</td>\n",
              "      <td>10.0</td>\n",
              "      <td>420900</td>\n",
              "      <td>42090</td>\n",
              "      <td>167.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hai Ba Trung</td>\n",
              "      <td>20</td>\n",
              "      <td>10.1</td>\n",
              "      <td>318000</td>\n",
              "      <td>31485</td>\n",
              "      <td>147.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Ha Dong</td>\n",
              "      <td>17</td>\n",
              "      <td>47.9</td>\n",
              "      <td>319800</td>\n",
              "      <td>6676</td>\n",
              "      <td>76.7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Hoan Kiem</td>\n",
              "      <td>18</td>\n",
              "      <td>5.3</td>\n",
              "      <td>160600</td>\n",
              "      <td>30302</td>\n",
              "      <td>453.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Hoang Mai</td>\n",
              "      <td>14</td>\n",
              "      <td>41.0</td>\n",
              "      <td>411500</td>\n",
              "      <td>10037</td>\n",
              "      <td>82.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Long Bien</td>\n",
              "      <td>14</td>\n",
              "      <td>60.4</td>\n",
              "      <td>291900</td>\n",
              "      <td>4833</td>\n",
              "      <td>72.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Nam Tu Liem</td>\n",
              "      <td>10</td>\n",
              "      <td>32.3</td>\n",
              "      <td>236700</td>\n",
              "      <td>7328</td>\n",
              "      <td>76.8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Tay Ho</td>\n",
              "      <td>8</td>\n",
              "      <td>24.0</td>\n",
              "      <td>168300</td>\n",
              "      <td>7012</td>\n",
              "      <td>131.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Thanh Xuan</td>\n",
              "      <td>11</td>\n",
              "      <td>9.1</td>\n",
              "      <td>285400</td>\n",
              "      <td>31363</td>\n",
              "      <td>108.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Dan Phuong</td>\n",
              "      <td>16</td>\n",
              "      <td>78.8</td>\n",
              "      <td>162900</td>\n",
              "      <td>2067</td>\n",
              "      <td>16.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Hoai Duc</td>\n",
              "      <td>20</td>\n",
              "      <td>95.3</td>\n",
              "      <td>229400</td>\n",
              "      <td>2407</td>\n",
              "      <td>44.5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Thanh Tri</td>\n",
              "      <td>16</td>\n",
              "      <td>63.4</td>\n",
              "      <td>256800</td>\n",
              "      <td>4050</td>\n",
              "      <td>63.9</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   name_of_district  ...  housing_price_millions_VND_m2\n",
              "0           Ba Dinh  ...                          166.0\n",
              "1       Bac Tu Liem  ...                           72.4\n",
              "2          Cau Giay  ...                          144.0\n",
              "3           Dong Da  ...                          167.0\n",
              "4      Hai Ba Trung  ...                          147.0\n",
              "5           Ha Dong  ...                           76.7\n",
              "6         Hoan Kiem  ...                          453.0\n",
              "7         Hoang Mai  ...                           82.5\n",
              "8         Long Bien  ...                           72.0\n",
              "9       Nam Tu Liem  ...                           76.8\n",
              "10           Tay Ho  ...                          131.0\n",
              "11       Thanh Xuan  ...                          108.0\n",
              "12       Dan Phuong  ...                           16.5\n",
              "13         Hoai Duc  ...                           44.5\n",
              "14        Thanh Tri  ...                           63.9\n",
              "\n",
              "[15 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_YGIA1W8Cl7J",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "outputId": "1513352f-f219-45ac-a53a-de30813ba073"
      },
      "source": [
        "# plot the histogram for range of price\n",
        "hist, bin_edges = np.histogram(data_hanoi['housing_price_millions_VND_m2'], bins = [30, 100, 200, 300, 500] )\n",
        "plt.hist(data_hanoi['housing_price_millions_VND_m2'], bins=bin_edges, facecolor='orange', alpha=0.5, rwidth=0.9)\n",
        "plt.show()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWsAAAD4CAYAAAAqw8chAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "28fbGQ8mE6L2",
        "colab_type": "text"
      },
      "source": [
        "### The range of price are assigned based on their values as follows:\n",
        "   - Low price (LOW): 0 <= price <= 100\n",
        "   - Medium price (MEDIUM): 100 < price <= 200\n",
        "   - High price (HIGH): 200 < price <= 300\n",
        "   - Very high price (EXTREME): price > 300\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "G34jtxpwEpqh",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        },
        "outputId": "683d031f-2dca-46ec-8ad1-af4998d7c02e"
      },
      "source": [
        "# assign label for its range of price\n",
        "def label_price(price):\n",
        "  if 0 < price <= 100:\n",
        "    return 'LOW'\n",
        "  elif  100 < price <= 200:\n",
        "    return 'MEDIUM'\n",
        "  elif  200 < price <= 300:\n",
        "    return 'HIGH'\n",
        "  elif  price > 300:\n",
        "    return 'EXTREME'\n",
        "  else:\n",
        "    return 'Your price can not be negative'\n",
        "\n",
        "# create another column in the data_hanoi\n",
        "data_hanoi['price_label'] = data_hanoi['housing_price_millions_VND_m2'].apply(label_price)\n",
        "data_hanoi"
      ],
      "execution_count": 7,
      "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>name_of_district</th>\n",
              "      <th>number_of_ward</th>\n",
              "      <th>square_km2</th>\n",
              "      <th>population</th>\n",
              "      <th>density_per_km2</th>\n",
              "      <th>housing_price_millions_VND_m2</th>\n",
              "      <th>price_label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>14</td>\n",
              "      <td>9.2</td>\n",
              "      <td>247100</td>\n",
              "      <td>26859</td>\n",
              "      <td>166.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bac Tu Liem</td>\n",
              "      <td>13</td>\n",
              "      <td>43.4</td>\n",
              "      <td>333300</td>\n",
              "      <td>7680</td>\n",
              "      <td>72.4</td>\n",
              "      <td>LOW</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Cau Giay</td>\n",
              "      <td>8</td>\n",
              "      <td>12.0</td>\n",
              "      <td>266800</td>\n",
              "      <td>22233</td>\n",
              "      <td>144.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Dong Da</td>\n",
              "      <td>21</td>\n",
              "      <td>10.0</td>\n",
              "      <td>420900</td>\n",
              "      <td>42090</td>\n",
              "      <td>167.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hai Ba Trung</td>\n",
              "      <td>20</td>\n",
              "      <td>10.1</td>\n",
              "      <td>318000</td>\n",
              "      <td>31485</td>\n",
              "      <td>147.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Ha Dong</td>\n",
              "      <td>17</td>\n",
              "      <td>47.9</td>\n",
              "      <td>319800</td>\n",
              "      <td>6676</td>\n",
              "      <td>76.7</td>\n",
              "      <td>LOW</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Hoan Kiem</td>\n",
              "      <td>18</td>\n",
              "      <td>5.3</td>\n",
              "      <td>160600</td>\n",
              "      <td>30302</td>\n",
              "      <td>453.0</td>\n",
              "      <td>EXTREME</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Hoang Mai</td>\n",
              "      <td>14</td>\n",
              "      <td>41.0</td>\n",
              "      <td>411500</td>\n",
              "      <td>10037</td>\n",
              "      <td>82.5</td>\n",
              "      <td>LOW</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Long Bien</td>\n",
              "      <td>14</td>\n",
              "      <td>60.4</td>\n",
              "      <td>291900</td>\n",
              "      <td>4833</td>\n",
              "      <td>72.0</td>\n",
              "      <td>LOW</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Nam Tu Liem</td>\n",
              "      <td>10</td>\n",
              "      <td>32.3</td>\n",
              "      <td>236700</td>\n",
              "      <td>7328</td>\n",
              "      <td>76.8</td>\n",
              "      <td>LOW</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Tay Ho</td>\n",
              "      <td>8</td>\n",
              "      <td>24.0</td>\n",
              "      <td>168300</td>\n",
              "      <td>7012</td>\n",
              "      <td>131.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Thanh Xuan</td>\n",
              "      <td>11</td>\n",
              "      <td>9.1</td>\n",
              "      <td>285400</td>\n",
              "      <td>31363</td>\n",
              "      <td>108.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Dan Phuong</td>\n",
              "      <td>16</td>\n",
              "      <td>78.8</td>\n",
              "      <td>162900</td>\n",
              "      <td>2067</td>\n",
              "      <td>16.5</td>\n",
              "      <td>LOW</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Hoai Duc</td>\n",
              "      <td>20</td>\n",
              "      <td>95.3</td>\n",
              "      <td>229400</td>\n",
              "      <td>2407</td>\n",
              "      <td>44.5</td>\n",
              "      <td>LOW</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Thanh Tri</td>\n",
              "      <td>16</td>\n",
              "      <td>63.4</td>\n",
              "      <td>256800</td>\n",
              "      <td>4050</td>\n",
              "      <td>63.9</td>\n",
              "      <td>LOW</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   name_of_district  number_of_ward  ...  housing_price_millions_VND_m2  price_label\n",
              "0           Ba Dinh              14  ...                          166.0       MEDIUM\n",
              "1       Bac Tu Liem              13  ...                           72.4          LOW\n",
              "2          Cau Giay               8  ...                          144.0       MEDIUM\n",
              "3           Dong Da              21  ...                          167.0       MEDIUM\n",
              "4      Hai Ba Trung              20  ...                          147.0       MEDIUM\n",
              "5           Ha Dong              17  ...                           76.7          LOW\n",
              "6         Hoan Kiem              18  ...                          453.0      EXTREME\n",
              "7         Hoang Mai              14  ...                           82.5          LOW\n",
              "8         Long Bien              14  ...                           72.0          LOW\n",
              "9       Nam Tu Liem              10  ...                           76.8          LOW\n",
              "10           Tay Ho               8  ...                          131.0       MEDIUM\n",
              "11       Thanh Xuan              11  ...                          108.0       MEDIUM\n",
              "12       Dan Phuong              16  ...                           16.5          LOW\n",
              "13         Hoai Duc              20  ...                           44.5          LOW\n",
              "14        Thanh Tri              16  ...                           63.9          LOW\n",
              "\n",
              "[15 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OJXyZZD6ojs5",
        "colab_type": "text"
      },
      "source": [
        "# Get coodinate for each district"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VWP06_gKk4lN",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 272
        },
        "outputId": "6a378115-3a8c-407a-e57b-d2c50a39486b"
      },
      "source": [
        "# function to retrieve coordination of each district\n",
        "def get_coordination(name_district):\n",
        "  string_search = name_district + ' Ha Noi Vietnam'\n",
        "  coorlocator = Nominatim(user_agent=\"Explore_Hanoi\")\n",
        "  coordination = coorlocator.geocode(string_search)\n",
        " \n",
        "  # prevent google fail to retrieve coordination\n",
        "  try:\n",
        "    latitude, longitude = coordination.latitude, coordination.longitude\n",
        "  except:\n",
        "    latitude, longitude = np.nan, np.nan\n",
        "\n",
        "  return latitude, longitude\n",
        "\n",
        "# call function to get coordination \n",
        "### ***method 1*** using list comprehension but sometimes fail\n",
        "#coors = [get_coordination(district_name) for district_name in data_hanoi['name_of_district'].tolist()]\n",
        "\n",
        "### ***method 2*** using normal for loop and add time delay 5 seconds to relax service geolocator\n",
        "#coors = []\n",
        "#for district_name in data_hanoi['name_of_district'].tolist():\n",
        "#  print(district_name)\n",
        "#  coor = get_coordination(district_name)\n",
        "#  time.sleep(5)\n",
        "#  coors.append(coor)\n",
        "#df_coors = pd.DataFrame(coors, columns=['latitude','longitude'])\n",
        "#data_hanoi['latitude'] = df_coors['latitude']\n",
        "#data_hanoi['longitude'] = df_coors['longitude']\n",
        "#data_hanoi.to_csv('/content/gdrive/My Drive/hanoi.csv', index=False)"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Ba Dinh\n",
            "Bac Tu Liem\n",
            "Cau Giay\n",
            "Dong Da\n",
            "Hai Ba Trung\n",
            "Ha Dong\n",
            "Hoan Kiem\n",
            "Hoang Mai\n",
            "Long Bien\n",
            "Nam Tu Liem\n",
            "Tay Ho\n",
            "Thanh Xuan\n",
            "Dan Phuong\n",
            "Hoai Duc\n",
            "Thanh Tri\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gAuaohU-AMVQ",
        "colab_type": "code",
        "outputId": "5f3a20bd-d14b-4027-f625-c61b67e69b88",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        }
      },
      "source": [
        "data_hanoi = pd.read_csv('/content/gdrive/My Drive/hanoi.csv')\n",
        "data_hanoi"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "\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",
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              "      <th></th>\n",
              "      <th>name_of_district</th>\n",
              "      <th>number_of_ward</th>\n",
              "      <th>square_km2</th>\n",
              "      <th>population</th>\n",
              "      <th>density_per_km2</th>\n",
              "      <th>housing_price_millions_VND_m2</th>\n",
              "      <th>price_label</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>14</td>\n",
              "      <td>9.2</td>\n",
              "      <td>247100</td>\n",
              "      <td>26859</td>\n",
              "      <td>166.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.036305</td>\n",
              "      <td>105.828986</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bac Tu Liem</td>\n",
              "      <td>13</td>\n",
              "      <td>43.4</td>\n",
              "      <td>333300</td>\n",
              "      <td>7680</td>\n",
              "      <td>72.4</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.069861</td>\n",
              "      <td>105.757339</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Cau Giay</td>\n",
              "      <td>8</td>\n",
              "      <td>12.0</td>\n",
              "      <td>266800</td>\n",
              "      <td>22233</td>\n",
              "      <td>144.0</td>\n",
              "      <td>MEDIUM</td>\n",
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              "      <td>105.791464</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Dong Da</td>\n",
              "      <td>21</td>\n",
              "      <td>10.0</td>\n",
              "      <td>420900</td>\n",
              "      <td>42090</td>\n",
              "      <td>167.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.012891</td>\n",
              "      <td>105.827710</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hai Ba Trung</td>\n",
              "      <td>20</td>\n",
              "      <td>10.1</td>\n",
              "      <td>318000</td>\n",
              "      <td>31485</td>\n",
              "      <td>147.0</td>\n",
              "      <td>MEDIUM</td>\n",
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              "      <td>105.857484</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Ha Dong</td>\n",
              "      <td>17</td>\n",
              "      <td>47.9</td>\n",
              "      <td>319800</td>\n",
              "      <td>6676</td>\n",
              "      <td>76.7</td>\n",
              "      <td>LOW</td>\n",
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              "      <td>105.760955</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Hoan Kiem</td>\n",
              "      <td>18</td>\n",
              "      <td>5.3</td>\n",
              "      <td>160600</td>\n",
              "      <td>30302</td>\n",
              "      <td>453.0</td>\n",
              "      <td>EXTREME</td>\n",
              "      <td>21.028934</td>\n",
              "      <td>105.852260</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Hoang Mai</td>\n",
              "      <td>14</td>\n",
              "      <td>41.0</td>\n",
              "      <td>411500</td>\n",
              "      <td>10037</td>\n",
              "      <td>82.5</td>\n",
              "      <td>LOW</td>\n",
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              "      <td>105.842097</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Long Bien</td>\n",
              "      <td>14</td>\n",
              "      <td>60.4</td>\n",
              "      <td>291900</td>\n",
              "      <td>4833</td>\n",
              "      <td>72.0</td>\n",
              "      <td>LOW</td>\n",
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              "      <td>105.892245</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Nam Tu Liem</td>\n",
              "      <td>10</td>\n",
              "      <td>32.3</td>\n",
              "      <td>236700</td>\n",
              "      <td>7328</td>\n",
              "      <td>76.8</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.012846</td>\n",
              "      <td>105.760875</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Tay Ho</td>\n",
              "      <td>8</td>\n",
              "      <td>24.0</td>\n",
              "      <td>168300</td>\n",
              "      <td>7012</td>\n",
              "      <td>131.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.070907</td>\n",
              "      <td>105.821341</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Thanh Xuan</td>\n",
              "      <td>11</td>\n",
              "      <td>9.1</td>\n",
              "      <td>285400</td>\n",
              "      <td>31363</td>\n",
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              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Dan Phuong</td>\n",
              "      <td>16</td>\n",
              "      <td>78.8</td>\n",
              "      <td>162900</td>\n",
              "      <td>2067</td>\n",
              "      <td>16.5</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.111504</td>\n",
              "      <td>105.683379</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Hoai Duc</td>\n",
              "      <td>20</td>\n",
              "      <td>95.3</td>\n",
              "      <td>229400</td>\n",
              "      <td>2407</td>\n",
              "      <td>44.5</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.011501</td>\n",
              "      <td>105.707686</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Thanh Tri</td>\n",
              "      <td>16</td>\n",
              "      <td>63.4</td>\n",
              "      <td>256800</td>\n",
              "      <td>4050</td>\n",
              "      <td>63.9</td>\n",
              "      <td>LOW</td>\n",
              "      <td>20.941462</td>\n",
              "      <td>105.836033</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   name_of_district  number_of_ward  ...   latitude   longitude\n",
              "0           Ba Dinh              14  ...  21.036305  105.828986\n",
              "1       Bac Tu Liem              13  ...  21.069861  105.757339\n",
              "2          Cau Giay               8  ...  21.027277  105.791464\n",
              "3           Dong Da              21  ...  21.012891  105.827710\n",
              "4      Hai Ba Trung              20  ...  21.005970  105.857484\n",
              "5           Ha Dong              17  ...  20.952443  105.760955\n",
              "6         Hoan Kiem              18  ...  21.028934  105.852260\n",
              "7         Hoang Mai              14  ...  20.975951  105.842097\n",
              "8         Long Bien              14  ...  21.039341  105.892245\n",
              "9       Nam Tu Liem              10  ...  21.012846  105.760875\n",
              "10           Tay Ho               8  ...  21.070907  105.821341\n",
              "11       Thanh Xuan              11  ...  20.993886  105.814671\n",
              "12       Dan Phuong              16  ...  21.111504  105.683379\n",
              "13         Hoai Duc              20  ...  21.011501  105.707686\n",
              "14        Thanh Tri              16  ...  20.941462  105.836033\n",
              "\n",
              "[15 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VKfJEWyo5Pw-",
        "colab_type": "text"
      },
      "source": [
        "## Plot coordinations on the map to verify their locations"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TPbUUj-z5WlU",
        "colab_type": "code",
        "outputId": "d75302ce-5326-4917-bbda-734e98dafda2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# get the coordination center of Hanoi city\n",
        "lat_hn, long_hn = get_coordination('Ha Noi Vietnam')\n",
        "print('The center coordination of Hanoi are: latitude_hanoi = {}, and longtitude_hanoi = {}'.format(lat_hn, long_hn))"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The center coordination of Hanoi are: latitude_hanoi = 21.007196399999998, and longtitude_hanoi = 105.53142761311506\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ImDgN_nH6WtS",
        "colab_type": "code",
        "outputId": "120bf664-3fe8-48ea-8be0-745fbe601646",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 763
        }
      },
      "source": [
        "hn_map = folium.Map(location=[lat_hn, long_hn], zoom_start=10)\n",
        "for lati, longi, dis in zip(data_hanoi['latitude'], data_hanoi['longitude'], data_hanoi['name_of_district']):\n",
        "    label = '{}'.format(dis)\n",
        "    label = folium.Popup(label, parse_html=True)\n",
        "    folium.CircleMarker(\n",
        "        [lati, longi],\n",
        "        radius=5,\n",
        "        popup=label,\n",
        "        color='blue',\n",
        "        fill=True,\n",
        "        fill_color='#3186cc',\n",
        "        fill_opacity=0.7,\n",
        "        parse_html=False).add_to(hn_map)  \n",
        "\n",
        "hn_map"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
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          "metadata": {
            "tags": []
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      "cell_type": "markdown",
      "metadata": {
        "id": "Z0ww0mRZDxhJ",
        "colab_type": "text"
      },
      "source": [
        "#Some pre-defined functions for extract venues"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4laZYBtlDsaW",
        "colab_type": "code",
        "outputId": "01cbcd87-3157-4911-90f0-158a462afb5b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "# Define foursquare API credential to use API\n",
        "CLIENT_ID = 'MC2SRBWTQ4OJXCCA1KUMROH2SOVUVP103QMRIRDMPJHEPGNK' # Foursquare ID\n",
        "CLIENT_SECRET = 'IFMJISV3YMKFQI1WTGAUAKTKPQ3EUPBOO4J2BQ55Z1M1WRQY' # Foursquare Secret\n",
        "VERSION = '20180605' # Foursquare API version\n",
        "\n",
        "print('Your credentails:')\n",
        "print('CLIENT_ID: ' + CLIENT_ID)\n",
        "print('CLIENT_SECRET:' + CLIENT_SECRET)\n",
        "\n",
        "# define function to get all venues nearby \n",
        "def getNearbyVenues(names, latitudes, longitudes, radius=1600, LIMIT=200):\n",
        "    \n",
        "    venues_list=[]\n",
        "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
        "        print(name)\n",
        "            \n",
        "        # create the API request URL\n",
        "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
        "            CLIENT_ID, \n",
        "            CLIENT_SECRET, \n",
        "            VERSION, \n",
        "            lat, \n",
        "            lng, \n",
        "            radius, \n",
        "            LIMIT)\n",
        "            \n",
        "        # make the GET request\n",
        "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
        "        \n",
        "        # return only relevant information for each nearby venue\n",
        "        venues_list.append([(\n",
        "            name, \n",
        "            lat, \n",
        "            lng, \n",
        "            v['venue']['name'], \n",
        "            v['venue']['location']['lat'], \n",
        "            v['venue']['location']['lng'],  \n",
        "            v['venue']['categories'][0]['name']) for v in results])\n",
        "\n",
        "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
        "    nearby_venues.columns = ['district', \n",
        "                  'district Latitude', \n",
        "                  'district Longitude', \n",
        "                  'Venue', \n",
        "                  'Venue Latitude', \n",
        "                  'Venue Longitude', \n",
        "                  'Venue Category']\n",
        "    \n",
        "    return(nearby_venues)"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Your credentails:\n",
            "CLIENT_ID: MC2SRBWTQ4OJXCCA1KUMROH2SOVUVP103QMRIRDMPJHEPGNK\n",
            "CLIENT_SECRET:IFMJISV3YMKFQI1WTGAUAKTKPQ3EUPBOO4J2BQ55Z1M1WRQY\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Uio5tW32GQIB",
        "colab_type": "text"
      },
      "source": [
        "### Call getnearby functions to get all venues in the range of 1500 meters from the center"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6zwO_6RbGFb8",
        "colab_type": "code",
        "outputId": "010b3147-3511-4b1e-c33b-75769ae257e8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 272
        }
      },
      "source": [
        "# get venues from center of each district\n",
        "hanoi_venues = getNearbyVenues(names=data_hanoi['name_of_district'],\n",
        "                             latitudes=data_hanoi['latitude'],\n",
        "                             longitudes=data_hanoi['longitude']\n",
        "                            )"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Ba Dinh\n",
            "Bac Tu Liem\n",
            "Cau Giay\n",
            "Dong Da\n",
            "Hai Ba Trung\n",
            "Ha Dong\n",
            "Hoan Kiem\n",
            "Hoang Mai\n",
            "Long Bien\n",
            "Nam Tu Liem\n",
            "Tay Ho\n",
            "Thanh Xuan\n",
            "Dan Phuong\n",
            "Hoai Duc\n",
            "Thanh Tri\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i8n_B8c2Gqg8",
        "colab_type": "code",
        "outputId": "ecf572b2-cbe8-4589-c3ad-e4d7faacce7d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        }
      },
      "source": [
        "print(hanoi_venues.shape)\n",
        "hanoi_venues.head()"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(618, 7)\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
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              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
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              "\n",
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              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>district</th>\n",
              "      <th>district Latitude</th>\n",
              "      <th>district Longitude</th>\n",
              "      <th>Venue</th>\n",
              "      <th>Venue Latitude</th>\n",
              "      <th>Venue Longitude</th>\n",
              "      <th>Venue Category</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>21.036305</td>\n",
              "      <td>105.828986</td>\n",
              "      <td>Bia Hơi 19C Ngọc Hà</td>\n",
              "      <td>21.037280</td>\n",
              "      <td>105.831327</td>\n",
              "      <td>Beer Garden</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>21.036305</td>\n",
              "      <td>105.828986</td>\n",
              "      <td>Bình Minh</td>\n",
              "      <td>21.031457</td>\n",
              "      <td>105.832087</td>\n",
              "      <td>Fried Chicken Joint</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>21.036305</td>\n",
              "      <td>105.828986</td>\n",
              "      <td>Lý Văn Phúc (Chicken Street)</td>\n",
              "      <td>21.031233</td>\n",
              "      <td>105.832014</td>\n",
              "      <td>Wings Joint</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>21.036305</td>\n",
              "      <td>105.828986</td>\n",
              "      <td>Zennova Massage</td>\n",
              "      <td>21.029979</td>\n",
              "      <td>105.825851</td>\n",
              "      <td>Massage Studio</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>21.036305</td>\n",
              "      <td>105.828986</td>\n",
              "      <td>Văn Miếu Quốc Tử Giám (Temple of Literature) (...</td>\n",
              "      <td>21.028707</td>\n",
              "      <td>105.836005</td>\n",
              "      <td>Confucian Temple</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  district  district Latitude  ...  Venue Longitude       Venue Category\n",
              "0  Ba Dinh          21.036305  ...       105.831327          Beer Garden\n",
              "1  Ba Dinh          21.036305  ...       105.832087  Fried Chicken Joint\n",
              "2  Ba Dinh          21.036305  ...       105.832014          Wings Joint\n",
              "3  Ba Dinh          21.036305  ...       105.825851       Massage Studio\n",
              "4  Ba Dinh          21.036305  ...       105.836005     Confucian Temple\n",
              "\n",
              "[5 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MJy4z5JcRYT6",
        "colab_type": "text"
      },
      "source": [
        "## Number of venues in each district\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-C8CgXh2HVq5",
        "colab_type": "code",
        "outputId": "7d323fbd-ce65-431f-bf75-2791efab3180",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 500
        }
      },
      "source": [
        "# group district to and count total number of venues in each district and comparision\n",
        "total_venue_district = hanoi_venues.groupby('district').count().reset_index()\n",
        "print('There are total: {} venues in all districts'.format(total_venue_district['Venue Category'].sum()))\n",
        "total_venue_district"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "There are total: 618 venues in all districts\n"
          ],
          "name": "stdout"
        },
        {
          "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>district</th>\n",
              "      <th>district Latitude</th>\n",
              "      <th>district Longitude</th>\n",
              "      <th>Venue</th>\n",
              "      <th>Venue Latitude</th>\n",
              "      <th>Venue Longitude</th>\n",
              "      <th>Venue Category</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bac Tu Liem</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Cau Giay</td>\n",
              "      <td>73</td>\n",
              "      <td>73</td>\n",
              "      <td>73</td>\n",
              "      <td>73</td>\n",
              "      <td>73</td>\n",
              "      <td>73</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Dong Da</td>\n",
              "      <td>95</td>\n",
              "      <td>95</td>\n",
              "      <td>95</td>\n",
              "      <td>95</td>\n",
              "      <td>95</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Ha Dong</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Hai Ba Trung</td>\n",
              "      <td>93</td>\n",
              "      <td>93</td>\n",
              "      <td>93</td>\n",
              "      <td>93</td>\n",
              "      <td>93</td>\n",
              "      <td>93</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Hoai Duc</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Hoan Kiem</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "      <td>100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Hoang Mai</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Long Bien</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Nam Tu Liem</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Tay Ho</td>\n",
              "      <td>74</td>\n",
              "      <td>74</td>\n",
              "      <td>74</td>\n",
              "      <td>74</td>\n",
              "      <td>74</td>\n",
              "      <td>74</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Thanh Tri</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Thanh Xuan</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        district  district Latitude  ...  Venue Longitude  Venue Category\n",
              "0        Ba Dinh                100  ...              100             100\n",
              "1    Bac Tu Liem                  3  ...                3               3\n",
              "2       Cau Giay                 73  ...               73              73\n",
              "3        Dong Da                 95  ...               95              95\n",
              "4        Ha Dong                  7  ...                7               7\n",
              "5   Hai Ba Trung                 93  ...               93              93\n",
              "6       Hoai Duc                  6  ...                6               6\n",
              "7      Hoan Kiem                100  ...              100             100\n",
              "8      Hoang Mai                  7  ...                7               7\n",
              "9      Long Bien                 15  ...               15              15\n",
              "10   Nam Tu Liem                 10  ...               10              10\n",
              "11        Tay Ho                 74  ...               74              74\n",
              "12     Thanh Tri                  6  ...                6               6\n",
              "13    Thanh Xuan                 29  ...               29              29\n",
              "\n",
              "[14 rows x 7 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4d6DzmrtN0di",
        "colab_type": "code",
        "outputId": "89ca74b9-1ef5-4bb4-828e-e6594fd371cf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 351
        }
      },
      "source": [
        "# plot number of venues in each district\n",
        "total_venue_district.sort_values('Venue', ascending = False, inplace = True)\n",
        "plt.bar(total_venue_district['district'], total_venue_district['Venue'])\n",
        "plt.title('Number of venues in each district')\n",
        "plt.xticks(rotation=90)\n",
        "plt.xlabel('District')\n",
        "plt.ylabel('Number of venues')\n",
        "plt.show()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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pXAb+3nreJdV3CgWS7gLeERGvDPvikcXdr932iPhOl/HOAw6OiEtbtn8Q2Cci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\nrkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VLa17YgFRdxm",
        "colab_type": "text"
      },
      "source": [
        "## list of unique venues in all districts"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7Lw3Ho4ZLvpq",
        "colab_type": "code",
        "outputId": "cd2e92a6-55cf-4bcc-b5b3-7eeb9d3e55c3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 629
        }
      },
      "source": [
        "# Count the unique number of venue categories in all districts\n",
        "num_unique_venue = hanoi_venues['Venue Category'].unique()\n",
        "print(num_unique_venue)\n",
        "print('There are: {} unique venues in all districts'.format(len(num_unique_venue)))"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['Beer Garden' 'Fried Chicken Joint' 'Wings Joint' 'Massage Studio'\n",
            " 'Confucian Temple' 'BBQ Joint' 'Coffee Shop' 'Temple'\n",
            " 'Monument / Landmark' 'Hotel' 'Rock Club' 'Vietnamese Restaurant'\n",
            " 'Historic Site' 'Steakhouse' 'Hotpot Restaurant' 'Bar' 'Noodle House'\n",
            " 'Palace' 'Vegetarian / Vegan Restaurant' 'Café' 'Lounge' 'Lake'\n",
            " 'Buddhist Temple' 'Church' 'Sushi Restaurant' 'Wine Bar' 'Wedding Hall'\n",
            " 'Art Museum' 'Ice Cream Shop' 'Food Court' 'Japanese Restaurant' 'Plaza'\n",
            " 'Chinese Restaurant' 'Park' 'Satay Restaurant' 'Supermarket'\n",
            " 'Himalayan Restaurant' 'History Museum' 'Castle'\n",
            " 'Latin American Restaurant' 'Mongolian Restaurant' 'Bistro' 'Bakery'\n",
            " 'Botanical Garden' 'Soccer Stadium' 'Pizza Place' 'Beer Bar' 'Restaurant'\n",
            " 'Italian Restaurant' 'Paintball Field' 'Business Service'\n",
            " 'Mobile Phone Shop' 'Shopping Mall' 'Fish & Chips Shop' 'Multiplex'\n",
            " 'Malay Restaurant' 'Arepa Restaurant' 'Scenic Lookout'\n",
            " 'Gym / Fitness Center' 'Korean Restaurant' 'Fast Food Restaurant'\n",
            " 'Thai Restaurant' 'Tea Room' 'Cocktail Bar' 'Seafood Restaurant'\n",
            " 'Australian Restaurant' 'Snack Place' 'Buffet' 'Halal Restaurant' 'Gym'\n",
            " 'Music Venue' 'Dessert Shop' 'Movie Theater' 'Tiki Bar' 'Bookstore'\n",
            " 'Ramen Restaurant' 'Garden' 'Sandwich Place' 'Market' 'Spa' 'Karaoke Bar'\n",
            " 'Comic Shop' 'Asian Restaurant' 'Bulgarian Restaurant' 'Building'\n",
            " 'Bubble Tea Shop' 'Convention Center' 'Electronics Store' 'Food Truck'\n",
            " 'Salad Place' 'Frozen Yogurt Shop' 'French Restaurant' 'Theater'\n",
            " 'Furniture / Home Store' 'Hainan Restaurant' 'Thrift / Vintage Store'\n",
            " 'Belgian Restaurant' 'Flower Shop' 'Housing Development' 'Brewery'\n",
            " 'Bath House' 'Gift Shop' 'IT Services' 'Bus Station' 'Hostel' 'Pub'\n",
            " 'Arts & Crafts Store' 'Hotel Bar' 'Cultural Center' 'Cafeteria'\n",
            " 'Dim Sum Restaurant' 'Burger Joint' 'Chocolate Shop' 'Juice Bar'\n",
            " 'Golf Course' 'New American Restaurant' 'Grocery Store' 'Stadium'\n",
            " 'Athletics & Sports' 'Gym Pool' 'Tourist Information Center'\n",
            " 'Modern European Restaurant' 'Pastry Shop' 'Mexican Restaurant'\n",
            " 'Ukrainian Restaurant' 'Sports Bar' 'Middle Eastern Restaurant'\n",
            " 'Water Park' 'Indian Restaurant' 'Pakistani Restaurant'\n",
            " 'Tapas Restaurant' 'Nightclub' 'Indonesian Restaurant' 'Soccer Field'\n",
            " 'Pedestrian Plaza' 'Moving Target' 'Roof Deck' 'Campground'\n",
            " 'Rental Car Location' 'Betting Shop' 'Spiritual Center' 'Beach']\n",
            "There are: 142 unique venues in all districts\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IGxH4JqTSOnG",
        "colab_type": "text"
      },
      "source": [
        "## number of venue categories in each district"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kA6QEkOkHTiv",
        "colab_type": "code",
        "outputId": "ef2d4ae2-5afa-4b4e-841c-5ac88a48661e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 483
        }
      },
      "source": [
        "# find the unique venue categories in each district\n",
        "num_venue_category = (hanoi_venues.groupby(['district','Venue Category'])\n",
        "                              .count().reset_index()[['district','Venue Category']].groupby('district')\n",
        "                                  .count().reset_index() )\n",
        "num_venue_category"
      ],
      "execution_count": 18,
      "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>district</th>\n",
              "      <th>Venue Category</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bac Tu Liem</td>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Cau Giay</td>\n",
              "      <td>32</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Dong Da</td>\n",
              "      <td>51</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Ha Dong</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Hai Ba Trung</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Hoai Duc</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Hoan Kiem</td>\n",
              "      <td>34</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Hoang Mai</td>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Long Bien</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Nam Tu Liem</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Tay Ho</td>\n",
              "      <td>44</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Thanh Tri</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Thanh Xuan</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        district  Venue Category\n",
              "0        Ba Dinh              49\n",
              "1    Bac Tu Liem               3\n",
              "2       Cau Giay              32\n",
              "3        Dong Da              51\n",
              "4        Ha Dong               7\n",
              "5   Hai Ba Trung              37\n",
              "6       Hoai Duc               5\n",
              "7      Hoan Kiem              34\n",
              "8      Hoang Mai               7\n",
              "9      Long Bien              12\n",
              "10   Nam Tu Liem               9\n",
              "11        Tay Ho              44\n",
              "12     Thanh Tri               6\n",
              "13    Thanh Xuan              20"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZuP6dUNIVC5U",
        "colab_type": "code",
        "outputId": "6415a504-8632-4620-ab71-f5ded33a4af6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 351
        }
      },
      "source": [
        "# plot the number of venue category in each district\n",
        "num_venue_category.sort_values('Venue Category', ascending = False, inplace = True)\n",
        "plt.bar(num_venue_category['district'], num_venue_category['Venue Category'])\n",
        "plt.title('Number of venue category in each district')\n",
        "plt.xticks(rotation=90)\n",
        "plt.xlabel('District')\n",
        "plt.ylabel('Number of venue category')\n",
        "plt.show()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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mkra5QPfF1UdIg7L2zInczMwmiTI1/u+Qul0eBYjUXr8O8GfgEGCLpgpnZmb1K3Nx9x0R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\nSUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Bwq_ID5_WPC3",
        "colab_type": "text"
      },
      "source": [
        "## Find the most commone venues in each district "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tgU3utA-WY6b",
        "colab_type": "code",
        "outputId": "e5603a12-1a8e-490e-ec8e-7a757a51cbe8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 702
        }
      },
      "source": [
        "# one hot encoding using pandas dummies\n",
        "hanoi_onehot = pd.get_dummies(hanoi_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
        "\n",
        "# add name of district column to dataframe\n",
        "hanoi_onehot['district'] = hanoi_venues['district'] \n",
        "\n",
        "# move name district column to the first column for easy view\n",
        "tmp_columns = [hanoi_onehot.columns[-1]] + list(hanoi_onehot.columns[:-1])\n",
        "hanoi_onehot = hanoi_onehot[tmp_columns]\n",
        "\n",
        "# group according to district and then mean() according to features (each category) to find the frequency of each category in each district\n",
        "hanoi_grouped = hanoi_onehot.groupby('district').mean().reset_index()\n",
        "hanoi_grouped "
      ],
      "execution_count": 20,
      "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>district</th>\n",
              "      <th>Arepa Restaurant</th>\n",
              "      <th>Art Museum</th>\n",
              "      <th>Arts &amp; Crafts Store</th>\n",
              "      <th>Asian Restaurant</th>\n",
              "      <th>Athletics &amp; Sports</th>\n",
              "      <th>Australian Restaurant</th>\n",
              "      <th>BBQ Joint</th>\n",
              "      <th>Bakery</th>\n",
              "      <th>Bar</th>\n",
              "      <th>Bath House</th>\n",
              "      <th>Beach</th>\n",
              "      <th>Beer Bar</th>\n",
              "      <th>Beer Garden</th>\n",
              "      <th>Belgian Restaurant</th>\n",
              "      <th>Betting Shop</th>\n",
              "      <th>Bistro</th>\n",
              "      <th>Bookstore</th>\n",
              "      <th>Botanical Garden</th>\n",
              "      <th>Brewery</th>\n",
              "      <th>Bubble Tea Shop</th>\n",
              "      <th>Buddhist Temple</th>\n",
              "      <th>Buffet</th>\n",
              "      <th>Building</th>\n",
              "      <th>Bulgarian Restaurant</th>\n",
              "      <th>Burger Joint</th>\n",
              "      <th>Bus Station</th>\n",
              "      <th>Business Service</th>\n",
              "      <th>Cafeteria</th>\n",
              "      <th>Café</th>\n",
              "      <th>Campground</th>\n",
              "      <th>Castle</th>\n",
              "      <th>Chinese Restaurant</th>\n",
              "      <th>Chocolate Shop</th>\n",
              "      <th>Church</th>\n",
              "      <th>Cocktail Bar</th>\n",
              "      <th>Coffee Shop</th>\n",
              "      <th>Comic Shop</th>\n",
              "      <th>Confucian Temple</th>\n",
              "      <th>Convention Center</th>\n",
              "      <th>...</th>\n",
              "      <th>Pedestrian Plaza</th>\n",
              "      <th>Pizza Place</th>\n",
              "      <th>Plaza</th>\n",
              "      <th>Pub</th>\n",
              "      <th>Ramen Restaurant</th>\n",
              "      <th>Rental Car Location</th>\n",
              "      <th>Restaurant</th>\n",
              "      <th>Rock Club</th>\n",
              "      <th>Roof Deck</th>\n",
              "      <th>Salad Place</th>\n",
              "      <th>Sandwich Place</th>\n",
              "      <th>Satay Restaurant</th>\n",
              "      <th>Scenic Lookout</th>\n",
              "      <th>Seafood Restaurant</th>\n",
              "      <th>Shopping Mall</th>\n",
              "      <th>Snack Place</th>\n",
              "      <th>Soccer Field</th>\n",
              "      <th>Soccer Stadium</th>\n",
              "      <th>Spa</th>\n",
              "      <th>Spiritual Center</th>\n",
              "      <th>Sports Bar</th>\n",
              "      <th>Stadium</th>\n",
              "      <th>Steakhouse</th>\n",
              "      <th>Supermarket</th>\n",
              "      <th>Sushi Restaurant</th>\n",
              "      <th>Tapas Restaurant</th>\n",
              "      <th>Tea Room</th>\n",
              "      <th>Temple</th>\n",
              "      <th>Thai Restaurant</th>\n",
              "      <th>Theater</th>\n",
              "      <th>Thrift / Vintage Store</th>\n",
              "      <th>Tiki Bar</th>\n",
              "      <th>Tourist Information Center</th>\n",
              "      <th>Ukrainian Restaurant</th>\n",
              "      <th>Vegetarian / Vegan Restaurant</th>\n",
              "      <th>Vietnamese Restaurant</th>\n",
              "      <th>Water Park</th>\n",
              "      <th>Wedding Hall</th>\n",
              "      <th>Wine Bar</th>\n",
              "      <th>Wings Joint</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.020000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.020000</td>\n",
              "      <td>0.020000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.090000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.130000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.020000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.020000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.020000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.090000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bac Tu Liem</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Cau Giay</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.027397</td>\n",
              "      <td>0.027397</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.136986</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.095890</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.041096</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.027397</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.123288</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Dong Da</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.021053</td>\n",
              "      <td>0.021053</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.063158</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.105263</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.042105</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.042105</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.042105</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.063158</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Ha Dong</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.142857</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.142857</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.142857</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Hai Ba Trung</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.032258</td>\n",
              "      <td>0.021505</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.086022</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.075269</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.032258</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.021505</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.204301</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Hoai Duc</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.333333</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.166667</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.166667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.166667</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Hoan Kiem</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.080000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.140000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.020000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.020000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.030000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.180000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Hoang Mai</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.142857</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.142857</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.142857</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.142857</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Long Bien</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>0.133333</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Nam Tu Liem</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.1</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.1</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.1</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Tay Ho</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.040541</td>\n",
              "      <td>0.027027</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.094595</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.040541</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.027027</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.027027</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.040541</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.027027</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.081081</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.040541</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Thanh Tri</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.166667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.166667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.166667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.166667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Thanh Xuan</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.068966</td>\n",
              "      <td>0.034483</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.034483</td>\n",
              "      <td>0.034483</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.103448</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.137931</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>0.034483</td>\n",
              "      <td>0.068966</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.034483</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.034483</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.034483</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.034483</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.034483</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>14 rows × 143 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        district  Arepa Restaurant  ...  Wine Bar  Wings Joint\n",
              "0        Ba Dinh          0.000000  ...  0.010000         0.01\n",
              "1    Bac Tu Liem          0.000000  ...  0.000000         0.00\n",
              "2       Cau Giay          0.013699  ...  0.000000         0.00\n",
              "3        Dong Da          0.010526  ...  0.000000         0.00\n",
              "4        Ha Dong          0.000000  ...  0.000000         0.00\n",
              "5   Hai Ba Trung          0.010753  ...  0.000000         0.00\n",
              "6       Hoai Duc          0.000000  ...  0.000000         0.00\n",
              "7      Hoan Kiem          0.000000  ...  0.000000         0.00\n",
              "8      Hoang Mai          0.000000  ...  0.000000         0.00\n",
              "9      Long Bien          0.000000  ...  0.000000         0.00\n",
              "10   Nam Tu Liem          0.000000  ...  0.000000         0.00\n",
              "11        Tay Ho          0.000000  ...  0.040541         0.00\n",
              "12     Thanh Tri          0.000000  ...  0.000000         0.00\n",
              "13    Thanh Xuan          0.000000  ...  0.000000         0.00\n",
              "\n",
              "[14 rows x 143 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "h5ELxcaLev7D",
        "colab_type": "code",
        "outputId": "229e993f-c6ee-47fd-b612-9c6079f5adab",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 483
        }
      },
      "source": [
        "# return most common venues in each district\n",
        "def most_common_venues(row, num_top_venues):\n",
        "    row_categories = row.iloc[1:]\n",
        "    row_categories_sorted = row_categories.sort_values(ascending=False)\n",
        "    \n",
        "    return row_categories_sorted.index.values[0:num_top_venues]\n",
        "\n",
        "# show (say: 5 most common venues in each district)\n",
        "num_top_venues = 5\n",
        "indicators = ['st', 'nd', 'rd']\n",
        "\n",
        "# create columns according to number of top venues\n",
        "columns = ['district']\n",
        "for ind in np.arange(num_top_venues):\n",
        "    try:\n",
        "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
        "    except:\n",
        "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
        "\n",
        "# create a new dataframe\n",
        "district_venues_sorted = pd.DataFrame(columns=columns)\n",
        "district_venues_sorted['district'] = hanoi_grouped['district']\n",
        "\n",
        "for ind in np.arange(hanoi_grouped.shape[0]):\n",
        "    district_venues_sorted.iloc[ind, 1:] = most_common_venues(hanoi_grouped.iloc[ind, :], num_top_venues)\n",
        "\n",
        "district_venues_sorted"
      ],
      "execution_count": 21,
      "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>district</th>\n",
              "      <th>1st Most Common Venue</th>\n",
              "      <th>2nd Most Common Venue</th>\n",
              "      <th>3rd Most Common Venue</th>\n",
              "      <th>4th Most Common Venue</th>\n",
              "      <th>5th Most Common Venue</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>Coffee Shop</td>\n",
              "      <td>Café</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Hotel</td>\n",
              "      <td>Japanese Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bac Tu Liem</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Paintball Field</td>\n",
              "      <td>Business Service</td>\n",
              "      <td>Wings Joint</td>\n",
              "      <td>Fast Food Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Cau Giay</td>\n",
              "      <td>Café</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Coffee Shop</td>\n",
              "      <td>Fast Food Restaurant</td>\n",
              "      <td>Japanese Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Dong Da</td>\n",
              "      <td>Coffee Shop</td>\n",
              "      <td>Café</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Pizza Place</td>\n",
              "      <td>Seafood Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Ha Dong</td>\n",
              "      <td>IT Services</td>\n",
              "      <td>History Museum</td>\n",
              "      <td>Bus Station</td>\n",
              "      <td>Furniture / Home Store</td>\n",
              "      <td>Bakery</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Hai Ba Trung</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Café</td>\n",
              "      <td>Coffee Shop</td>\n",
              "      <td>Hotel</td>\n",
              "      <td>Japanese Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Hoai Duc</td>\n",
              "      <td>Betting Shop</td>\n",
              "      <td>Soccer Field</td>\n",
              "      <td>Rental Car Location</td>\n",
              "      <td>Campground</td>\n",
              "      <td>Lake</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Hoan Kiem</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Hotel</td>\n",
              "      <td>Coffee Shop</td>\n",
              "      <td>Café</td>\n",
              "      <td>Noodle House</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Hoang Mai</td>\n",
              "      <td>Coffee Shop</td>\n",
              "      <td>Electronics Store</td>\n",
              "      <td>Bus Station</td>\n",
              "      <td>Café</td>\n",
              "      <td>Fast Food Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Long Bien</td>\n",
              "      <td>Fast Food Restaurant</td>\n",
              "      <td>Shopping Mall</td>\n",
              "      <td>Ice Cream Shop</td>\n",
              "      <td>Grocery Store</td>\n",
              "      <td>Electronics Store</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Nam Tu Liem</td>\n",
              "      <td>Café</td>\n",
              "      <td>Korean Restaurant</td>\n",
              "      <td>Gym Pool</td>\n",
              "      <td>Stadium</td>\n",
              "      <td>Athletics &amp; Sports</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Tay Ho</td>\n",
              "      <td>Café</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Sports Bar</td>\n",
              "      <td>Coffee Shop</td>\n",
              "      <td>Noodle House</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Thanh Tri</td>\n",
              "      <td>Fast Food Restaurant</td>\n",
              "      <td>Shopping Mall</td>\n",
              "      <td>Historic Site</td>\n",
              "      <td>Café</td>\n",
              "      <td>Spiritual Center</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Thanh Xuan</td>\n",
              "      <td>Coffee Shop</td>\n",
              "      <td>Café</td>\n",
              "      <td>Ice Cream Shop</td>\n",
              "      <td>Bakery</td>\n",
              "      <td>Multiplex</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        district  ... 5th Most Common Venue\n",
              "0        Ba Dinh  ...   Japanese Restaurant\n",
              "1    Bac Tu Liem  ...  Fast Food Restaurant\n",
              "2       Cau Giay  ...   Japanese Restaurant\n",
              "3        Dong Da  ...    Seafood Restaurant\n",
              "4        Ha Dong  ...                Bakery\n",
              "5   Hai Ba Trung  ...   Japanese Restaurant\n",
              "6       Hoai Duc  ...                  Lake\n",
              "7      Hoan Kiem  ...          Noodle House\n",
              "8      Hoang Mai  ...  Fast Food Restaurant\n",
              "9      Long Bien  ...     Electronics Store\n",
              "10   Nam Tu Liem  ...    Athletics & Sports\n",
              "11        Tay Ho  ...          Noodle House\n",
              "12     Thanh Tri  ...      Spiritual Center\n",
              "13    Thanh Xuan  ...             Multiplex\n",
              "\n",
              "[14 rows x 6 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kgxUhes8hikF",
        "colab_type": "text"
      },
      "source": [
        "# Choose only columns having name 'Restaurant'\n",
        "#### Because our client is interested in open an restaurant"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZOQOGAJyhzUe",
        "colab_type": "code",
        "outputId": "851462a1-3772-4fd8-c9b3-233c777977d8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 656
        }
      },
      "source": [
        "column_named_restaurant = hanoi_grouped.columns\n",
        "column_name = [venue_category for venue_category in column_named_restaurant if 'Restaurant' in venue_category]\n",
        "data_restaurant = hanoi_grouped[['district']+column_name]\n",
        "data_restaurant"
      ],
      "execution_count": 22,
      "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>district</th>\n",
              "      <th>Arepa Restaurant</th>\n",
              "      <th>Asian Restaurant</th>\n",
              "      <th>Australian Restaurant</th>\n",
              "      <th>Belgian Restaurant</th>\n",
              "      <th>Bulgarian Restaurant</th>\n",
              "      <th>Chinese Restaurant</th>\n",
              "      <th>Dim Sum Restaurant</th>\n",
              "      <th>Fast Food Restaurant</th>\n",
              "      <th>French Restaurant</th>\n",
              "      <th>Hainan Restaurant</th>\n",
              "      <th>Halal Restaurant</th>\n",
              "      <th>Himalayan Restaurant</th>\n",
              "      <th>Hotpot Restaurant</th>\n",
              "      <th>Indian Restaurant</th>\n",
              "      <th>Indonesian Restaurant</th>\n",
              "      <th>Italian Restaurant</th>\n",
              "      <th>Japanese Restaurant</th>\n",
              "      <th>Korean Restaurant</th>\n",
              "      <th>Latin American Restaurant</th>\n",
              "      <th>Malay Restaurant</th>\n",
              "      <th>Mexican Restaurant</th>\n",
              "      <th>Middle Eastern Restaurant</th>\n",
              "      <th>Modern European Restaurant</th>\n",
              "      <th>Mongolian Restaurant</th>\n",
              "      <th>New American Restaurant</th>\n",
              "      <th>Pakistani Restaurant</th>\n",
              "      <th>Ramen Restaurant</th>\n",
              "      <th>Restaurant</th>\n",
              "      <th>Satay Restaurant</th>\n",
              "      <th>Seafood Restaurant</th>\n",
              "      <th>Sushi Restaurant</th>\n",
              "      <th>Tapas Restaurant</th>\n",
              "      <th>Thai Restaurant</th>\n",
              "      <th>Ukrainian Restaurant</th>\n",
              "      <th>Vegetarian / Vegan Restaurant</th>\n",
              "      <th>Vietnamese Restaurant</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.030000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.030000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.090000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bac Tu Liem</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Cau Giay</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.068493</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.054795</td>\n",
              "      <td>0.041096</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013699</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.123288</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Dong Da</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.042105</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.042105</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010526</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.063158</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Ha Dong</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Hai Ba Trung</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.021505</td>\n",
              "      <td>0.021505</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.021505</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.064516</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.032258</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010753</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.204301</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Hoai Duc</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Hoan Kiem</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.01</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.020000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.02</td>\n",
              "      <td>0.180000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Hoang Mai</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.142857</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Long Bien</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.200000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.066667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Nam Tu Liem</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.100000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Tay Ho</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.027027</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.027027</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.027027</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.013514</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.081081</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Thanh Tri</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.166667</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Thanh Xuan</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.034483</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.034483</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.034483</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        district  ...  Vietnamese Restaurant\n",
              "0        Ba Dinh  ...               0.090000\n",
              "1    Bac Tu Liem  ...               0.333333\n",
              "2       Cau Giay  ...               0.123288\n",
              "3        Dong Da  ...               0.063158\n",
              "4        Ha Dong  ...               0.000000\n",
              "5   Hai Ba Trung  ...               0.204301\n",
              "6       Hoai Duc  ...               0.000000\n",
              "7      Hoan Kiem  ...               0.180000\n",
              "8      Hoang Mai  ...               0.000000\n",
              "9      Long Bien  ...               0.000000\n",
              "10   Nam Tu Liem  ...               0.000000\n",
              "11        Tay Ho  ...               0.081081\n",
              "12     Thanh Tri  ...               0.000000\n",
              "13    Thanh Xuan  ...               0.034483\n",
              "\n",
              "[14 rows x 37 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "K4bWp1HOkl8s",
        "colab_type": "text"
      },
      "source": [
        "### show top 10 restaurants in each district"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tcUzZ7Vej5H0",
        "colab_type": "code",
        "outputId": "163e9727-fc0c-4785-92ab-12732174245e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 738
        }
      },
      "source": [
        "# show (say: 10 most common restaurant in each district)\n",
        "num_top_venues = 10\n",
        "indicators = ['st', 'nd', 'rd']\n",
        "\n",
        "# create column according to number of top venues\n",
        "column = ['district']\n",
        "for ind in np.arange(num_top_venues):\n",
        "    try:\n",
        "        column.append('{}{} Most restaurant'.format(ind+1, indicators[ind]))\n",
        "    except:\n",
        "        column.append('{}th Most restaurant'.format(ind+1))\n",
        "\n",
        "# create a new dataframe\n",
        "restaurant_sorted = pd.DataFrame(columns=column)\n",
        "restaurant_sorted['district'] = data_restaurant['district']\n",
        "\n",
        "for ind in np.arange(data_restaurant.shape[0]):\n",
        "    restaurant_sorted.iloc[ind, 1:] = most_common_venues(data_restaurant.iloc[ind, :], num_top_venues)\n",
        "\n",
        "restaurant_sorted"
      ],
      "execution_count": 23,
      "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>district</th>\n",
              "      <th>1st Most restaurant</th>\n",
              "      <th>2nd Most restaurant</th>\n",
              "      <th>3rd Most restaurant</th>\n",
              "      <th>4th Most restaurant</th>\n",
              "      <th>5th Most restaurant</th>\n",
              "      <th>6th Most restaurant</th>\n",
              "      <th>7th Most restaurant</th>\n",
              "      <th>8th Most restaurant</th>\n",
              "      <th>9th Most restaurant</th>\n",
              "      <th>10th Most restaurant</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Japanese Restaurant</td>\n",
              "      <td>Hotpot Restaurant</td>\n",
              "      <td>Chinese Restaurant</td>\n",
              "      <td>Mongolian Restaurant</td>\n",
              "      <td>Sushi Restaurant</td>\n",
              "      <td>Italian Restaurant</td>\n",
              "      <td>Satay Restaurant</td>\n",
              "      <td>Restaurant</td>\n",
              "      <td>Vegetarian / Vegan Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bac Tu Liem</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Vegetarian / Vegan Restaurant</td>\n",
              "      <td>Italian Restaurant</td>\n",
              "      <td>Indonesian Restaurant</td>\n",
              "      <td>Indian Restaurant</td>\n",
              "      <td>Hotpot Restaurant</td>\n",
              "      <td>Himalayan Restaurant</td>\n",
              "      <td>Halal Restaurant</td>\n",
              "      <td>Hainan Restaurant</td>\n",
              "      <td>French Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Cau Giay</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Fast Food Restaurant</td>\n",
              "      <td>Japanese Restaurant</td>\n",
              "      <td>Korean Restaurant</td>\n",
              "      <td>Arepa Restaurant</td>\n",
              "      <td>Seafood Restaurant</td>\n",
              "      <td>Sushi Restaurant</td>\n",
              "      <td>Australian Restaurant</td>\n",
              "      <td>Thai Restaurant</td>\n",
              "      <td>Halal Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Dong Da</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Fast Food Restaurant</td>\n",
              "      <td>Seafood Restaurant</td>\n",
              "      <td>Ramen Restaurant</td>\n",
              "      <td>Asian Restaurant</td>\n",
              "      <td>Australian Restaurant</td>\n",
              "      <td>Bulgarian Restaurant</td>\n",
              "      <td>Hotpot Restaurant</td>\n",
              "      <td>Japanese Restaurant</td>\n",
              "      <td>Korean Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Ha Dong</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Vegetarian / Vegan Restaurant</td>\n",
              "      <td>Italian Restaurant</td>\n",
              "      <td>Indonesian Restaurant</td>\n",
              "      <td>Indian Restaurant</td>\n",
              "      <td>Hotpot Restaurant</td>\n",
              "      <td>Himalayan Restaurant</td>\n",
              "      <td>Halal Restaurant</td>\n",
              "      <td>Hainan Restaurant</td>\n",
              "      <td>French Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Hai Ba Trung</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Japanese Restaurant</td>\n",
              "      <td>Sushi Restaurant</td>\n",
              "      <td>Fast Food Restaurant</td>\n",
              "      <td>French Restaurant</td>\n",
              "      <td>Hotpot Restaurant</td>\n",
              "      <td>Belgian Restaurant</td>\n",
              "      <td>Hainan Restaurant</td>\n",
              "      <td>Halal Restaurant</td>\n",
              "      <td>Italian Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Hoai Duc</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Vegetarian / Vegan Restaurant</td>\n",
              "      <td>Italian Restaurant</td>\n",
              "      <td>Indonesian Restaurant</td>\n",
              "      <td>Indian Restaurant</td>\n",
              "      <td>Hotpot Restaurant</td>\n",
              "      <td>Himalayan Restaurant</td>\n",
              "      <td>Halal Restaurant</td>\n",
              "      <td>Hainan Restaurant</td>\n",
              "      <td>French Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Hoan Kiem</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Vegetarian / Vegan Restaurant</td>\n",
              "      <td>French Restaurant</td>\n",
              "      <td>Dim Sum Restaurant</td>\n",
              "      <td>Fast Food Restaurant</td>\n",
              "      <td>Asian Restaurant</td>\n",
              "      <td>Italian Restaurant</td>\n",
              "      <td>Australian Restaurant</td>\n",
              "      <td>Belgian Restaurant</td>\n",
              "      <td>Bulgarian Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Hoang Mai</td>\n",
              "      <td>Fast Food Restaurant</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Hainan Restaurant</td>\n",
              "      <td>Italian Restaurant</td>\n",
              "      <td>Indonesian Restaurant</td>\n",
              "      <td>Indian Restaurant</td>\n",
              "      <td>Hotpot Restaurant</td>\n",
              "      <td>Himalayan Restaurant</td>\n",
              "      <td>Halal Restaurant</td>\n",
              "      <td>French Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Long Bien</td>\n",
              "      <td>Fast Food Restaurant</td>\n",
              "      <td>Seafood Restaurant</td>\n",
              "      <td>New American Restaurant</td>\n",
              "      <td>French Restaurant</td>\n",
              "      <td>Indonesian Restaurant</td>\n",
              "      <td>Indian Restaurant</td>\n",
              "      <td>Hotpot Restaurant</td>\n",
              "      <td>Himalayan Restaurant</td>\n",
              "      <td>Halal Restaurant</td>\n",
              "      <td>Hainan Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Nam Tu Liem</td>\n",
              "      <td>Korean Restaurant</td>\n",
              "      <td>Restaurant</td>\n",
              "      <td>Fast Food Restaurant</td>\n",
              "      <td>Australian Restaurant</td>\n",
              "      <td>Belgian Restaurant</td>\n",
              "      <td>Bulgarian Restaurant</td>\n",
              "      <td>Chinese Restaurant</td>\n",
              "      <td>Dim Sum Restaurant</td>\n",
              "      <td>Asian Restaurant</td>\n",
              "      <td>Japanese Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Tay Ho</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Indian Restaurant</td>\n",
              "      <td>Sushi Restaurant</td>\n",
              "      <td>Italian Restaurant</td>\n",
              "      <td>French Restaurant</td>\n",
              "      <td>Ukrainian Restaurant</td>\n",
              "      <td>Tapas Restaurant</td>\n",
              "      <td>Australian Restaurant</td>\n",
              "      <td>Indonesian Restaurant</td>\n",
              "      <td>Ramen Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Thanh Tri</td>\n",
              "      <td>Fast Food Restaurant</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Hainan Restaurant</td>\n",
              "      <td>Italian Restaurant</td>\n",
              "      <td>Indonesian Restaurant</td>\n",
              "      <td>Indian Restaurant</td>\n",
              "      <td>Hotpot Restaurant</td>\n",
              "      <td>Himalayan Restaurant</td>\n",
              "      <td>Halal Restaurant</td>\n",
              "      <td>French Restaurant</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Thanh Xuan</td>\n",
              "      <td>Vietnamese Restaurant</td>\n",
              "      <td>Thai Restaurant</td>\n",
              "      <td>Korean Restaurant</td>\n",
              "      <td>Ukrainian Restaurant</td>\n",
              "      <td>Italian Restaurant</td>\n",
              "      <td>Asian Restaurant</td>\n",
              "      <td>Australian Restaurant</td>\n",
              "      <td>Belgian Restaurant</td>\n",
              "      <td>Bulgarian Restaurant</td>\n",
              "      <td>Chinese Restaurant</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        district  ...           10th Most restaurant\n",
              "0        Ba Dinh  ...  Vegetarian / Vegan Restaurant\n",
              "1    Bac Tu Liem  ...              French Restaurant\n",
              "2       Cau Giay  ...               Halal Restaurant\n",
              "3        Dong Da  ...              Korean Restaurant\n",
              "4        Ha Dong  ...              French Restaurant\n",
              "5   Hai Ba Trung  ...             Italian Restaurant\n",
              "6       Hoai Duc  ...              French Restaurant\n",
              "7      Hoan Kiem  ...           Bulgarian Restaurant\n",
              "8      Hoang Mai  ...              French Restaurant\n",
              "9      Long Bien  ...              Hainan Restaurant\n",
              "10   Nam Tu Liem  ...            Japanese Restaurant\n",
              "11        Tay Ho  ...               Ramen Restaurant\n",
              "12     Thanh Tri  ...              French Restaurant\n",
              "13    Thanh Xuan  ...             Chinese Restaurant\n",
              "\n",
              "[14 rows x 11 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "z8PdZ6PPk95h",
        "colab_type": "text"
      },
      "source": [
        "# Use K-means to recognize how similar and dissimilar between each district "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xJ1_KUyjk7Cp",
        "colab_type": "code",
        "outputId": "f4d4e62c-e7a7-41d1-fbec-32b849337126",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 295
        }
      },
      "source": [
        "# try with 10 different values of k to find the best one\n",
        "number_clustering = 10\n",
        "Inertia = []\n",
        "\n",
        "hanoi_restaurant = data_restaurant.drop('district', axis = 1)\n",
        "\n",
        "for idx in range(1, number_clustering):\n",
        "\n",
        "    # run k-means clustering\n",
        "    kmeans = KMeans(n_clusters=idx, random_state=0).fit(hanoi_restaurant)\n",
        "\n",
        "    # find the distortion w.r.t each k\n",
        "    Inertia.append(kmeans.inertia_)\n",
        "\n",
        "plt.plot(range(1, number_clustering), Inertia, 'bx-')\n",
        "plt.xlabel('Number of Clusters')\n",
        "plt.ylabel('Inertia')\n",
        "plt.title('Inertial vs the number of clusters: the Elbow method usage')\n",
        "plt.show()"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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lzQL2By6XNCXb9w3gZ6SkNAEYmS2zKpLgqqvSFMIHHgiuhjKzJdHqGRvrnWds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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EIqb3rRuH59i",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 514
        },
        "outputId": "c0bcb580-83cb-43b9-e8ad-b36a71c52b39"
      },
      "source": [
        "data_hanoi"
      ],
      "execution_count": 25,
      "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>name_of_district</th>\n",
              "      <th>number_of_ward</th>\n",
              "      <th>square_km2</th>\n",
              "      <th>population</th>\n",
              "      <th>density_per_km2</th>\n",
              "      <th>housing_price_millions_VND_m2</th>\n",
              "      <th>price_label</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>14</td>\n",
              "      <td>9.2</td>\n",
              "      <td>247100</td>\n",
              "      <td>26859</td>\n",
              "      <td>166.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.036305</td>\n",
              "      <td>105.828986</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bac Tu Liem</td>\n",
              "      <td>13</td>\n",
              "      <td>43.4</td>\n",
              "      <td>333300</td>\n",
              "      <td>7680</td>\n",
              "      <td>72.4</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.069861</td>\n",
              "      <td>105.757339</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Cau Giay</td>\n",
              "      <td>8</td>\n",
              "      <td>12.0</td>\n",
              "      <td>266800</td>\n",
              "      <td>22233</td>\n",
              "      <td>144.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.027277</td>\n",
              "      <td>105.791464</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Dong Da</td>\n",
              "      <td>21</td>\n",
              "      <td>10.0</td>\n",
              "      <td>420900</td>\n",
              "      <td>42090</td>\n",
              "      <td>167.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.012891</td>\n",
              "      <td>105.827710</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Hai Ba Trung</td>\n",
              "      <td>20</td>\n",
              "      <td>10.1</td>\n",
              "      <td>318000</td>\n",
              "      <td>31485</td>\n",
              "      <td>147.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.005970</td>\n",
              "      <td>105.857484</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Ha Dong</td>\n",
              "      <td>17</td>\n",
              "      <td>47.9</td>\n",
              "      <td>319800</td>\n",
              "      <td>6676</td>\n",
              "      <td>76.7</td>\n",
              "      <td>LOW</td>\n",
              "      <td>20.952443</td>\n",
              "      <td>105.760955</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Hoan Kiem</td>\n",
              "      <td>18</td>\n",
              "      <td>5.3</td>\n",
              "      <td>160600</td>\n",
              "      <td>30302</td>\n",
              "      <td>453.0</td>\n",
              "      <td>EXTREME</td>\n",
              "      <td>21.028934</td>\n",
              "      <td>105.852260</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Hoang Mai</td>\n",
              "      <td>14</td>\n",
              "      <td>41.0</td>\n",
              "      <td>411500</td>\n",
              "      <td>10037</td>\n",
              "      <td>82.5</td>\n",
              "      <td>LOW</td>\n",
              "      <td>20.975951</td>\n",
              "      <td>105.842097</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Long Bien</td>\n",
              "      <td>14</td>\n",
              "      <td>60.4</td>\n",
              "      <td>291900</td>\n",
              "      <td>4833</td>\n",
              "      <td>72.0</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.039341</td>\n",
              "      <td>105.892245</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Nam Tu Liem</td>\n",
              "      <td>10</td>\n",
              "      <td>32.3</td>\n",
              "      <td>236700</td>\n",
              "      <td>7328</td>\n",
              "      <td>76.8</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.012846</td>\n",
              "      <td>105.760875</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Tay Ho</td>\n",
              "      <td>8</td>\n",
              "      <td>24.0</td>\n",
              "      <td>168300</td>\n",
              "      <td>7012</td>\n",
              "      <td>131.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.070907</td>\n",
              "      <td>105.821341</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Thanh Xuan</td>\n",
              "      <td>11</td>\n",
              "      <td>9.1</td>\n",
              "      <td>285400</td>\n",
              "      <td>31363</td>\n",
              "      <td>108.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>20.993886</td>\n",
              "      <td>105.814671</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Dan Phuong</td>\n",
              "      <td>16</td>\n",
              "      <td>78.8</td>\n",
              "      <td>162900</td>\n",
              "      <td>2067</td>\n",
              "      <td>16.5</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.111504</td>\n",
              "      <td>105.683379</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Hoai Duc</td>\n",
              "      <td>20</td>\n",
              "      <td>95.3</td>\n",
              "      <td>229400</td>\n",
              "      <td>2407</td>\n",
              "      <td>44.5</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.011501</td>\n",
              "      <td>105.707686</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>Thanh Tri</td>\n",
              "      <td>16</td>\n",
              "      <td>63.4</td>\n",
              "      <td>256800</td>\n",
              "      <td>4050</td>\n",
              "      <td>63.9</td>\n",
              "      <td>LOW</td>\n",
              "      <td>20.941462</td>\n",
              "      <td>105.836033</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   name_of_district  number_of_ward  ...   latitude   longitude\n",
              "0           Ba Dinh              14  ...  21.036305  105.828986\n",
              "1       Bac Tu Liem              13  ...  21.069861  105.757339\n",
              "2          Cau Giay               8  ...  21.027277  105.791464\n",
              "3           Dong Da              21  ...  21.012891  105.827710\n",
              "4      Hai Ba Trung              20  ...  21.005970  105.857484\n",
              "5           Ha Dong              17  ...  20.952443  105.760955\n",
              "6         Hoan Kiem              18  ...  21.028934  105.852260\n",
              "7         Hoang Mai              14  ...  20.975951  105.842097\n",
              "8         Long Bien              14  ...  21.039341  105.892245\n",
              "9       Nam Tu Liem              10  ...  21.012846  105.760875\n",
              "10           Tay Ho               8  ...  21.070907  105.821341\n",
              "11       Thanh Xuan              11  ...  20.993886  105.814671\n",
              "12       Dan Phuong              16  ...  21.111504  105.683379\n",
              "13         Hoai Duc              20  ...  21.011501  105.707686\n",
              "14        Thanh Tri              16  ...  20.941462  105.836033\n",
              "\n",
              "[15 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Z5HfgLz-vwAe",
        "colab_type": "text"
      },
      "source": [
        "#### Some comments about optimum number of clusters\n",
        "  - The elbow method saying that, the optimum number of cluster when the objective values is suddently changing its value.\n",
        "  - Then here the optimum number of cluster is chosen 3"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7n-i9eH3rJmH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "num_clusters = 3\n",
        "kmeans = KMeans(n_clusters=num_clusters).fit(hanoi_restaurant)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gQpDSFrpxYWm",
        "colab_type": "code",
        "outputId": "b022bc3f-823b-40f1-8656-91efbeb3691c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 483
        }
      },
      "source": [
        "# merge the data_hanoi with the cluster we obtained\n",
        "data_summary = pd.DataFrame(list(zip(data_restaurant['district'], kmeans.labels_)), columns=['district','label'])\n",
        "data_combined_summary = pd.merge(data_summary, data_hanoi, left_on = 'district', right_on = 'name_of_district', how='left')\n",
        "data_combined_summary.drop(['name_of_district', 'square_km2', 'number_of_ward'], axis = 1, inplace=True)\n",
        "data_combined_summary\n"
      ],
      "execution_count": 27,
      "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",
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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>district</th>\n",
              "      <th>label</th>\n",
              "      <th>population</th>\n",
              "      <th>density_per_km2</th>\n",
              "      <th>housing_price_millions_VND_m2</th>\n",
              "      <th>price_label</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>2</td>\n",
              "      <td>247100</td>\n",
              "      <td>26859</td>\n",
              "      <td>166.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.036305</td>\n",
              "      <td>105.828986</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Bac Tu Liem</td>\n",
              "      <td>0</td>\n",
              "      <td>333300</td>\n",
              "      <td>7680</td>\n",
              "      <td>72.4</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.069861</td>\n",
              "      <td>105.757339</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Cau Giay</td>\n",
              "      <td>2</td>\n",
              "      <td>266800</td>\n",
              "      <td>22233</td>\n",
              "      <td>144.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.027277</td>\n",
              "      <td>105.791464</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Dong Da</td>\n",
              "      <td>2</td>\n",
              "      <td>420900</td>\n",
              "      <td>42090</td>\n",
              "      <td>167.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.012891</td>\n",
              "      <td>105.827710</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Ha Dong</td>\n",
              "      <td>2</td>\n",
              "      <td>319800</td>\n",
              "      <td>6676</td>\n",
              "      <td>76.7</td>\n",
              "      <td>LOW</td>\n",
              "      <td>20.952443</td>\n",
              "      <td>105.760955</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Hai Ba Trung</td>\n",
              "      <td>0</td>\n",
              "      <td>318000</td>\n",
              "      <td>31485</td>\n",
              "      <td>147.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.005970</td>\n",
              "      <td>105.857484</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Hoai Duc</td>\n",
              "      <td>2</td>\n",
              "      <td>229400</td>\n",
              "      <td>2407</td>\n",
              "      <td>44.5</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.011501</td>\n",
              "      <td>105.707686</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Hoan Kiem</td>\n",
              "      <td>0</td>\n",
              "      <td>160600</td>\n",
              "      <td>30302</td>\n",
              "      <td>453.0</td>\n",
              "      <td>EXTREME</td>\n",
              "      <td>21.028934</td>\n",
              "      <td>105.852260</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Hoang Mai</td>\n",
              "      <td>1</td>\n",
              "      <td>411500</td>\n",
              "      <td>10037</td>\n",
              "      <td>82.5</td>\n",
              "      <td>LOW</td>\n",
              "      <td>20.975951</td>\n",
              "      <td>105.842097</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Long Bien</td>\n",
              "      <td>1</td>\n",
              "      <td>291900</td>\n",
              "      <td>4833</td>\n",
              "      <td>72.0</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.039341</td>\n",
              "      <td>105.892245</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Nam Tu Liem</td>\n",
              "      <td>1</td>\n",
              "      <td>236700</td>\n",
              "      <td>7328</td>\n",
              "      <td>76.8</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.012846</td>\n",
              "      <td>105.760875</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Tay Ho</td>\n",
              "      <td>2</td>\n",
              "      <td>168300</td>\n",
              "      <td>7012</td>\n",
              "      <td>131.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.070907</td>\n",
              "      <td>105.821341</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Thanh Tri</td>\n",
              "      <td>1</td>\n",
              "      <td>256800</td>\n",
              "      <td>4050</td>\n",
              "      <td>63.9</td>\n",
              "      <td>LOW</td>\n",
              "      <td>20.941462</td>\n",
              "      <td>105.836033</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Thanh Xuan</td>\n",
              "      <td>2</td>\n",
              "      <td>285400</td>\n",
              "      <td>31363</td>\n",
              "      <td>108.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>20.993886</td>\n",
              "      <td>105.814671</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        district  label  population  ...  price_label   latitude   longitude\n",
              "0        Ba Dinh      2      247100  ...       MEDIUM  21.036305  105.828986\n",
              "1    Bac Tu Liem      0      333300  ...          LOW  21.069861  105.757339\n",
              "2       Cau Giay      2      266800  ...       MEDIUM  21.027277  105.791464\n",
              "3        Dong Da      2      420900  ...       MEDIUM  21.012891  105.827710\n",
              "4        Ha Dong      2      319800  ...          LOW  20.952443  105.760955\n",
              "5   Hai Ba Trung      0      318000  ...       MEDIUM  21.005970  105.857484\n",
              "6       Hoai Duc      2      229400  ...          LOW  21.011501  105.707686\n",
              "7      Hoan Kiem      0      160600  ...      EXTREME  21.028934  105.852260\n",
              "8      Hoang Mai      1      411500  ...          LOW  20.975951  105.842097\n",
              "9      Long Bien      1      291900  ...          LOW  21.039341  105.892245\n",
              "10   Nam Tu Liem      1      236700  ...          LOW  21.012846  105.760875\n",
              "11        Tay Ho      2      168300  ...       MEDIUM  21.070907  105.821341\n",
              "12     Thanh Tri      1      256800  ...          LOW  20.941462  105.836033\n",
              "13    Thanh Xuan      2      285400  ...       MEDIUM  20.993886  105.814671\n",
              "\n",
              "[14 rows x 8 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "L2w3U0mFJpeZ",
        "colab_type": "text"
      },
      "source": [
        "#### At this stage we do not know what cluster name (0, 1, and 2) mean?\n",
        "  - Because we have nearly 24 types of restaurant. (according to 24 features)\n",
        "  - There are so many features, then it is difficult to regconize.\n",
        "  - Then, to know this district has more restaurants than the others. One simple way that can be done, we will sum all the frequent in each district."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vX9t8LTevuTw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 483
        },
        "outputId": "d7ea38f7-8a55-445b-d2ae-0d813bd47b8e"
      },
      "source": [
        "# sum the data_restaurant along the row\n",
        "data_combined_summary['restaurant_frequency'] = data_restaurant.sum(axis=1)\n",
        "data_combined_summary.sort_values('label').reset_index(drop=True)"
      ],
      "execution_count": 34,
      "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",
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              "\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>district</th>\n",
              "      <th>label</th>\n",
              "      <th>population</th>\n",
              "      <th>density_per_km2</th>\n",
              "      <th>housing_price_millions_VND_m2</th>\n",
              "      <th>price_label</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>restaurant_frequency</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Bac Tu Liem</td>\n",
              "      <td>0</td>\n",
              "      <td>333300</td>\n",
              "      <td>7680</td>\n",
              "      <td>72.4</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.069861</td>\n",
              "      <td>105.757339</td>\n",
              "      <td>0.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Hai Ba Trung</td>\n",
              "      <td>0</td>\n",
              "      <td>318000</td>\n",
              "      <td>31485</td>\n",
              "      <td>147.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.005970</td>\n",
              "      <td>105.857484</td>\n",
              "      <td>0.440860</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Hoan Kiem</td>\n",
              "      <td>0</td>\n",
              "      <td>160600</td>\n",
              "      <td>30302</td>\n",
              "      <td>453.0</td>\n",
              "      <td>EXTREME</td>\n",
              "      <td>21.028934</td>\n",
              "      <td>105.852260</td>\n",
              "      <td>0.260000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Hoang Mai</td>\n",
              "      <td>1</td>\n",
              "      <td>411500</td>\n",
              "      <td>10037</td>\n",
              "      <td>82.5</td>\n",
              "      <td>LOW</td>\n",
              "      <td>20.975951</td>\n",
              "      <td>105.842097</td>\n",
              "      <td>0.142857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Long Bien</td>\n",
              "      <td>1</td>\n",
              "      <td>291900</td>\n",
              "      <td>4833</td>\n",
              "      <td>72.0</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.039341</td>\n",
              "      <td>105.892245</td>\n",
              "      <td>0.333333</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Nam Tu Liem</td>\n",
              "      <td>1</td>\n",
              "      <td>236700</td>\n",
              "      <td>7328</td>\n",
              "      <td>76.8</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.012846</td>\n",
              "      <td>105.760875</td>\n",
              "      <td>0.300000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Thanh Tri</td>\n",
              "      <td>1</td>\n",
              "      <td>256800</td>\n",
              "      <td>4050</td>\n",
              "      <td>63.9</td>\n",
              "      <td>LOW</td>\n",
              "      <td>20.941462</td>\n",
              "      <td>105.836033</td>\n",
              "      <td>0.166667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Ba Dinh</td>\n",
              "      <td>2</td>\n",
              "      <td>247100</td>\n",
              "      <td>26859</td>\n",
              "      <td>166.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.036305</td>\n",
              "      <td>105.828986</td>\n",
              "      <td>0.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Cau Giay</td>\n",
              "      <td>2</td>\n",
              "      <td>266800</td>\n",
              "      <td>22233</td>\n",
              "      <td>144.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.027277</td>\n",
              "      <td>105.791464</td>\n",
              "      <td>0.383562</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Dong Da</td>\n",
              "      <td>2</td>\n",
              "      <td>420900</td>\n",
              "      <td>42090</td>\n",
              "      <td>167.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.012891</td>\n",
              "      <td>105.827710</td>\n",
              "      <td>0.263158</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Ha Dong</td>\n",
              "      <td>2</td>\n",
              "      <td>319800</td>\n",
              "      <td>6676</td>\n",
              "      <td>76.7</td>\n",
              "      <td>LOW</td>\n",
              "      <td>20.952443</td>\n",
              "      <td>105.760955</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Hoai Duc</td>\n",
              "      <td>2</td>\n",
              "      <td>229400</td>\n",
              "      <td>2407</td>\n",
              "      <td>44.5</td>\n",
              "      <td>LOW</td>\n",
              "      <td>21.011501</td>\n",
              "      <td>105.707686</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Tay Ho</td>\n",
              "      <td>2</td>\n",
              "      <td>168300</td>\n",
              "      <td>7012</td>\n",
              "      <td>131.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>21.070907</td>\n",
              "      <td>105.821341</td>\n",
              "      <td>0.310811</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Thanh Xuan</td>\n",
              "      <td>2</td>\n",
              "      <td>285400</td>\n",
              "      <td>31363</td>\n",
              "      <td>108.0</td>\n",
              "      <td>MEDIUM</td>\n",
              "      <td>20.993886</td>\n",
              "      <td>105.814671</td>\n",
              "      <td>0.103448</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        district  label  ...   longitude  restaurant_frequency\n",
              "0    Bac Tu Liem      0  ...  105.757339              0.333333\n",
              "1   Hai Ba Trung      0  ...  105.857484              0.440860\n",
              "2      Hoan Kiem      0  ...  105.852260              0.260000\n",
              "3      Hoang Mai      1  ...  105.842097              0.142857\n",
              "4      Long Bien      1  ...  105.892245              0.333333\n",
              "5    Nam Tu Liem      1  ...  105.760875              0.300000\n",
              "6      Thanh Tri      1  ...  105.836033              0.166667\n",
              "7        Ba Dinh      2  ...  105.828986              0.250000\n",
              "8       Cau Giay      2  ...  105.791464              0.383562\n",
              "9        Dong Da      2  ...  105.827710              0.263158\n",
              "10       Ha Dong      2  ...  105.760955              0.000000\n",
              "11      Hoai Duc      2  ...  105.707686              0.000000\n",
              "12        Tay Ho      2  ...  105.821341              0.310811\n",
              "13    Thanh Xuan      2  ...  105.814671              0.103448\n",
              "\n",
              "[14 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a5ofrQFBMt1I",
        "colab_type": "text"
      },
      "source": [
        "##### From the above table, what we can draw to conclusion is:\n",
        "  - cluster 0: Those districts have so many restaurants \n",
        "  - cluster 1: Those areas have less restarants than cluster 0.\n",
        "  - cluster 2: Those neighborhoods have fewer restaurants"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ejo2hy_qQFxi",
        "colab_type": "text"
      },
      "source": [
        "#### The dicision can be chosen based on the data above:\n",
        "  - The client can invest in Hoang Mai, or Nam Tu Liem with the price for rent is low and the population density is pretty high."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ictEmOvIQn8E",
        "colab_type": "text"
      },
      "source": [
        "#### Notes:\n",
        "  - Actually, the decision and the data is highly depending on the API foursquare API, therefore, it is not accurate 100%.\n",
        "  - For example, Hoai Duc and Ha Dong districts have not any restaurants, which are a bit strange. \n",
        "  - The geographical location of Hanoi is a bit not highly dense population. Indeed, the neighborhoods are distributed in many locations for some sub-urban districts. Then, to improve the sampling locations, latitude and longitude of each ward in district is needed.\n"
      ]
    }
  ]
}