data_description_capstone.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### B. **DESCRIPTION OF THE DATA**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data and tools I have been and will be working with and how each of them will be used to solve the problem:\n",
    "* Data of the municipalities (or boroughs) in Milan from Wikipedia. This data includes all nine municipalities, officially numbered from 1 to 9, their names, the area they cover in kilometre squared (km2), their population as of 2014 and the population density (inhabitants/km2) and their respective districts.\n",
    "* Nominatim, which a tool to search OSM data by name and address (geocoding) and to generate synthetic addresses of OSM points (reverse geocoding), in other words, to retrieve the coordinates of each district.\n",
    "* Foursquare API to get the most common venues in the respective districts of Milan, enabling me to know what spots are most popular for our business. I will be using these popular spots to build clusters.\n",
    "* Folium for visualization of my data on an interactive leaflet map, visualization of the clusters and the popular spots.\n",
    "* Chloropleth maps and plots for visualization of data using Matplotlib, this is to have a clearer view of the data and the actual statistics based on the information gathered so far.\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is the Link to the data I scraped from Wikipedia\n",
    "https://en.wikipedia.org/wiki/Municipalities_of_Milan\n",
    " \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following sets of code are what I used to extract my data:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Importing all the necessary libraries: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np # library to handle data in a vectorized manner\n",
    "import pandas as pd # library for data analsysis\n",
    "import requests # library to handle requests\n",
    "\n",
    "!pip install beautifulsoup4\n",
    "!pip install lxml\n",
    "\n",
    "from bs4 import BeautifulSoup\n",
    "import requests\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Getting the file from the website and manipulation, scraping and display in pandas dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "!wget -O municipalities_milan.html https://en.wikipedia.org/wiki/Municipalities_of_Milan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"municipalities_milan.html\") as html_file:\n",
    "    soup = BeautifulSoup(html_file, 'lxml')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "right_table=soup.find('table', class_='wikitable sortable')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "A=[]\n",
    "B=[]\n",
    "C=[]\n",
    "D=[]\n",
    "E=[]\n",
    "F=[]\n",
    "\n",
    "for row in right_table.findAll('tr'):\n",
    "    cells=row.findAll('td')\n",
    "    if len(cells)==6:\n",
    "        A.append(cells[0].find(text=True))\n",
    "        B.append(cells[1].find(text=True))\n",
    "        C.append(cells[2].find(text=True))\n",
    "        D.append(cells[3].find(text=True))\n",
    "        E.append(cells[4].find(text=True))\n",
    "        F.append(cells[5].find(text=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Extraction of first set of data, with each borough's area covered, Total population and Population density per km2\n",
      "\n"
     ]
    },
    {
     "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>Borough</th>\n",
       "      <th>Name</th>\n",
       "      <th>Area (km2)</th>\n",
       "      <th>Population(2014)</th>\n",
       "      <th>Population Density (inhabitants/km2)</th>\n",
       "      <th>Districts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Centro storico</td>\n",
       "      <td>9.67</td>\n",
       "      <td>96,315</td>\n",
       "      <td>11,074</td>\n",
       "      <td>Brera</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Stazione Centrale</td>\n",
       "      <td>12.58</td>\n",
       "      <td>153.109</td>\n",
       "      <td>13,031</td>\n",
       "      <td>Adriano</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Città Studi</td>\n",
       "      <td>14.23</td>\n",
       "      <td>141,229</td>\n",
       "      <td>10,785</td>\n",
       "      <td>Casoretto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Porta Vittoria</td>\n",
       "      <td>20.95</td>\n",
       "      <td>156.369</td>\n",
       "      <td>8,069</td>\n",
       "      <td>Acquabella</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Vigentino</td>\n",
       "      <td>29.87</td>\n",
       "      <td>123,779</td>\n",
       "      <td>4,487</td>\n",
       "      <td>Basmetto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>Barona</td>\n",
       "      <td>18.28</td>\n",
       "      <td>149,000</td>\n",
       "      <td>8,998</td>\n",
       "      <td>Arzaga</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>Baggio</td>\n",
       "      <td>31.34</td>\n",
       "      <td>170,814</td>\n",
       "      <td>6,093</td>\n",
       "      <td>Assiano</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>Fiera</td>\n",
       "      <td>23.72</td>\n",
       "      <td>181,669</td>\n",
       "      <td>8,326</td>\n",
       "      <td>Boldinasco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>Porta Garibaldi</td>\n",
       "      <td>21.12</td>\n",
       "      <td>181,598</td>\n",
       "      <td>9,204</td>\n",
       "      <td>Affori</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Borough               Name Area (km2) Population(2014)  \\\n",
       "0       1     Centro storico       9.67           96,315   \n",
       "1       2  Stazione Centrale      12.58          153.109   \n",
       "2       3        Città Studi      14.23          141,229   \n",
       "3       4     Porta Vittoria      20.95          156.369   \n",
       "4       5          Vigentino      29.87          123,779   \n",
       "5       6             Barona      18.28          149,000   \n",
       "6       7             Baggio      31.34          170,814   \n",
       "7       8              Fiera      23.72          181,669   \n",
       "8       9    Porta Garibaldi      21.12          181,598   \n",
       "\n",
       "  Population Density (inhabitants/km2)   Districts  \n",
       "0                               11,074       Brera  \n",
       "1                               13,031     Adriano  \n",
       "2                               10,785   Casoretto  \n",
       "3                                8,069  Acquabella  \n",
       "4                                4,487    Basmetto  \n",
       "5                                8,998      Arzaga  \n",
       "6                                6,093     Assiano  \n",
       "7                                8,326  Boldinasco  \n",
       "8                                9,204      Affori  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_milan=pd.DataFrame(A,columns=['Borough'])\n",
    "data_milan['Name']=B\n",
    "data_milan['Area (km2)']=C\n",
    "data_milan['Population(2014)']=D\n",
    "data_milan['Population Density (inhabitants/km2)']=E\n",
    "data_milan['Districts']=F\n",
    "print(\"\\nExtraction of first set of data, with each borough's area covered, Total population and Population density per km2\\n\")\n",
    "data_milan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "A=[]\n",
    "B=[]\n",
    "C=[]\n",
    "D=[]\n",
    "E=[]\n",
    "F=[]\n",
    "G=[]\n",
    "for row in right_table.findAll('tr'):\n",
    "    cells=row.findAll('td')\n",
    "    if len(row.findAll('td'))==6:\n",
    "        G=cells[0].find(text=True)\n",
    "        for titres in row.findAll('td'):\n",
    "            for link in titres.findAll('a'):\n",
    "                if len(titres.findAll('a'))>5:                \n",
    "                    district= link.get('title')\n",
    "                    \n",
    "                    A.append(cells[0].find(text=True))\n",
    "                    C.append(cells[2].find(text=True))\n",
    "                    D.append(cells[3].find(text=True))\n",
    "                    E.append(cells[4].find(text=True))\n",
    "                    F.append(district)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.DataFrame(A,columns=['Borough No.'])\n",
    "#df['Name']=B\n",
    "df['Area (km2)']=C\n",
    "df['Population(2014)']=D\n",
    "df['Population Density (inhabitants/km2)']=E\n",
    "df['Districts']=F"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 4, 5, 6, 7, 8, 9])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "A=[]\n",
    "H=[]\n",
    "I=[]\n",
    "for row in right_table.findAll('tr'):\n",
    "    cells=row.findAll('td')\n",
    "    if len(row.findAll('td'))==6:\n",
    "        H=cells[0].find(text=True)\n",
    "        for titres in row.findAll('td'):\n",
    "            for link in titres.findAll('a'):\n",
    "                if len(titres.findAll('a'))<=5:                \n",
    "                    A.append(cells[0].find(text=True))\n",
    "                    name= link.get('title')\n",
    "                    I.append(name)\n",
    "df1=pd.DataFrame(A,columns=['Borough No.'])\n",
    "df1['Name']=I\n",
    "df1['Name']= df1.Name.str.replace('(\\(district of Milan\\))', '')\n",
    "df1['Name']= df1.Name.str.replace('(\\(\\))', '')\n",
    "df1['Name']= df1.Name.str.replace('(\\(page does not exist\\))', '')\n",
    "df1['Name']= df1.Name.str.replace('(\\(district\\))', '')\n",
    "df1['Name']= df1.Name.str.replace('(\\(Milan\\))', '')\n",
    "df1['Name']= df1['Name'].apply(lambda x: x.strip())\n",
    "df1.head()\n",
    "df1['Borough No.']= list(map(int, df1['Borough No.']))\n",
    "unique_set=[]\n",
    "unique_set=df1['Borough No.'].unique()\n",
    "unique_set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert(list): \n",
    "    return tuple(list)\n",
    "\n",
    "df2=pd.DataFrame()\n",
    "\n",
    "for i in range(1, len(unique_set)+1):\n",
    "    liste=[]\n",
    "    liste = df1[ (df1['Borough No.']== i)]\n",
    "    pc = pd.DataFrame(liste)\n",
    "    see=pc[pc['Name'].str.contains(\"Zone\")].index\n",
    "    pc.drop(see, inplace=True)\n",
    "    setting=[]\n",
    "    setting=pc['Name'].unique()\n",
    "    pc.reset_index(inplace=True)\n",
    "    pc.drop(\"index\", inplace=True, axis=1)     \n",
    "    fr=pd.Series([str(i), convert(setting)])\n",
    "    df2=df2.append(fr, ignore_index=True)\n",
    "df2.rename(columns={0:'Borough No.',1:'Name'}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Districts']= df.Districts.str.replace('(\\(district of Milan\\))', '')\n",
    "df['Districts']= df.Districts.str.replace('(\\(\\))', '')\n",
    "df['Districts']= df.Districts.str.replace('(\\(page does not exist\\))', '')\n",
    "df['Districts']= df.Districts.str.replace('(\\(Milan\\))', '')\n",
    "df['Districts']= df.Districts.str.replace('(\\(district\\))', '')\n",
    "df['Districts']= df['Districts'].apply(lambda x: x.strip())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "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>Borough No.</th>\n",
       "      <th>Name</th>\n",
       "      <th>Area (km2)</th>\n",
       "      <th>Population(2014)</th>\n",
       "      <th>Population Density (inhabitants/km2)</th>\n",
       "      <th>Districts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>9.67</td>\n",
       "      <td>96,315</td>\n",
       "      <td>11,074</td>\n",
       "      <td>Brera</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>9.67</td>\n",
       "      <td>96,315</td>\n",
       "      <td>11,074</td>\n",
       "      <td>Centro Storico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>9.67</td>\n",
       "      <td>96,315</td>\n",
       "      <td>11,074</td>\n",
       "      <td>Conca del Naviglio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>9.67</td>\n",
       "      <td>96,315</td>\n",
       "      <td>11,074</td>\n",
       "      <td>Guastalla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>9.67</td>\n",
       "      <td>96,315</td>\n",
       "      <td>11,074</td>\n",
       "      <td>Porta Sempione</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>9.67</td>\n",
       "      <td>96,315</td>\n",
       "      <td>11,074</td>\n",
       "      <td>Porta Tenaglia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2</td>\n",
       "      <td>(Stazione di Milano Centrale, Gorla, Turro, Gr...</td>\n",
       "      <td>12.58</td>\n",
       "      <td>153.109</td>\n",
       "      <td>13,031</td>\n",
       "      <td>Adriano</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2</td>\n",
       "      <td>(Stazione di Milano Centrale, Gorla, Turro, Gr...</td>\n",
       "      <td>12.58</td>\n",
       "      <td>153.109</td>\n",
       "      <td>13,031</td>\n",
       "      <td>Crescenzago</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2</td>\n",
       "      <td>(Stazione di Milano Centrale, Gorla, Turro, Gr...</td>\n",
       "      <td>12.58</td>\n",
       "      <td>153.109</td>\n",
       "      <td>13,031</td>\n",
       "      <td>Gorla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2</td>\n",
       "      <td>(Stazione di Milano Centrale, Gorla, Turro, Gr...</td>\n",
       "      <td>12.58</td>\n",
       "      <td>153.109</td>\n",
       "      <td>13,031</td>\n",
       "      <td>Greco</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Borough No.                                               Name Area (km2)  \\\n",
       "0           1                                  (Centro storico,)       9.67   \n",
       "1           1                                  (Centro storico,)       9.67   \n",
       "2           1                                  (Centro storico,)       9.67   \n",
       "3           1                                  (Centro storico,)       9.67   \n",
       "4           1                                  (Centro storico,)       9.67   \n",
       "5           1                                  (Centro storico,)       9.67   \n",
       "6           2  (Stazione di Milano Centrale, Gorla, Turro, Gr...      12.58   \n",
       "7           2  (Stazione di Milano Centrale, Gorla, Turro, Gr...      12.58   \n",
       "8           2  (Stazione di Milano Centrale, Gorla, Turro, Gr...      12.58   \n",
       "9           2  (Stazione di Milano Centrale, Gorla, Turro, Gr...      12.58   \n",
       "\n",
       "  Population(2014) Population Density (inhabitants/km2)           Districts  \n",
       "0           96,315                               11,074               Brera  \n",
       "1           96,315                               11,074      Centro Storico  \n",
       "2           96,315                               11,074  Conca del Naviglio  \n",
       "3           96,315                               11,074           Guastalla  \n",
       "4           96,315                               11,074      Porta Sempione  \n",
       "5           96,315                               11,074      Porta Tenaglia  \n",
       "6          153.109                               13,031             Adriano  \n",
       "7          153.109                               13,031         Crescenzago  \n",
       "8          153.109                               13,031               Gorla  \n",
       "9          153.109                               13,031               Greco  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_milan=df2.merge(df, on='Borough No.')\n",
    "district_milan=df2.merge(df, on='Borough No.')\n",
    "df_milan.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Districts according to their boroughs\n",
      "\n"
     ]
    },
    {
     "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>Borough No.</th>\n",
       "      <th>Name</th>\n",
       "      <th>Districts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Brera</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Centro Storico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Conca del Naviglio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Guastalla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Porta Sempione</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>9</td>\n",
       "      <td>(Porta Garibaldi, Niguarda)</td>\n",
       "      <td>Niguarda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>9</td>\n",
       "      <td>(Porta Garibaldi, Niguarda)</td>\n",
       "      <td>Porta Garibaldi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>9</td>\n",
       "      <td>(Porta Garibaldi, Niguarda)</td>\n",
       "      <td>Porta Nuova</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>9</td>\n",
       "      <td>(Porta Garibaldi, Niguarda)</td>\n",
       "      <td>Prato Centenaro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>9</td>\n",
       "      <td>(Porta Garibaldi, Niguarda)</td>\n",
       "      <td>Segnano</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>145 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Borough No.                         Name           Districts\n",
       "0             1            (Centro storico,)               Brera\n",
       "1             1            (Centro storico,)      Centro Storico\n",
       "2             1            (Centro storico,)  Conca del Naviglio\n",
       "3             1            (Centro storico,)           Guastalla\n",
       "4             1            (Centro storico,)      Porta Sempione\n",
       "..          ...                          ...                 ...\n",
       "140           9  (Porta Garibaldi, Niguarda)            Niguarda\n",
       "141           9  (Porta Garibaldi, Niguarda)     Porta Garibaldi\n",
       "142           9  (Porta Garibaldi, Niguarda)         Porta Nuova\n",
       "143           9  (Porta Garibaldi, Niguarda)     Prato Centenaro\n",
       "144           9  (Porta Garibaldi, Niguarda)             Segnano\n",
       "\n",
       "[145 rows x 3 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "district_milan.drop([\"Area (km2)\", \"Population(2014)\", \"Population Density (inhabitants/km2)\"], axis=1, inplace=True)\n",
    "print(\"\\nDistricts according to their boroughs\\n\")\n",
    "district_milan\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will be exploiting  145 districts.\n"
     ]
    }
   ],
   "source": [
    "print(\"We will be exploiting \",df_milan.shape[0],\"districts.\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Number of districts for each Borough\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Districts</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Borough No.</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Name  Districts\n",
       "Borough No.                 \n",
       "1               6          6\n",
       "2              14         14\n",
       "3              10         10\n",
       "4              19         19\n",
       "5              22         22\n",
       "6              18         18\n",
       "7              15         15\n",
       "8              23         23\n",
       "9              18         18"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"\\nNumber of districts for each Borough\\n\")\n",
    "district_milan.groupby(\"Borough No.\").count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dropping unnecessary columns:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "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>Borough No.</th>\n",
       "      <th>Name</th>\n",
       "      <th>Districts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Brera</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Centro Storico</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Conca del Naviglio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Guastalla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Porta Sempione</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>9</td>\n",
       "      <td>(Porta Garibaldi, Niguarda)</td>\n",
       "      <td>Niguarda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>9</td>\n",
       "      <td>(Porta Garibaldi, Niguarda)</td>\n",
       "      <td>Porta Garibaldi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>9</td>\n",
       "      <td>(Porta Garibaldi, Niguarda)</td>\n",
       "      <td>Porta Nuova</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>9</td>\n",
       "      <td>(Porta Garibaldi, Niguarda)</td>\n",
       "      <td>Prato Centenaro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>9</td>\n",
       "      <td>(Porta Garibaldi, Niguarda)</td>\n",
       "      <td>Segnano</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>145 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Borough No.                         Name           Districts\n",
       "0             1            (Centro storico,)               Brera\n",
       "1             1            (Centro storico,)      Centro Storico\n",
       "2             1            (Centro storico,)  Conca del Naviglio\n",
       "3             1            (Centro storico,)           Guastalla\n",
       "4             1            (Centro storico,)      Porta Sempione\n",
       "..          ...                          ...                 ...\n",
       "140           9  (Porta Garibaldi, Niguarda)            Niguarda\n",
       "141           9  (Porta Garibaldi, Niguarda)     Porta Garibaldi\n",
       "142           9  (Porta Garibaldi, Niguarda)         Porta Nuova\n",
       "143           9  (Porta Garibaldi, Niguarda)     Prato Centenaro\n",
       "144           9  (Porta Garibaldi, Niguarda)             Segnano\n",
       "\n",
       "[145 rows x 3 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_milan.drop(['Area (km2)','Population(2014)', 'Population Density (inhabitants/km2)'], inplace=True, axis=1)\n",
    "df_milan['Districts']= df_milan.Districts.str.replace('Vercellese', 'Vercelli')\n",
    "df_milan['Districts']= df_milan.Districts.str.replace('Stazione Centrale di Milano', 'Fs Stazione Centrale di Milano')\n",
    "\n",
    "df_milan"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Installation of geopy and folium to retrieve coordinates for each district and display maps respectively:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "!conda install -c conda-forge geopy --yes \n",
    "from geopy.geocoders import Nominatim \n",
    "\n",
    "!conda install -c conda-forge folium=0.5.0 --yes \n",
    "import folium "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Getting the coordinates of Milan:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Milan are 45.4668, 9.1905.\n"
     ]
    }
   ],
   "source": [
    "address = 'Milan, Italy'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"ny_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Milan are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I will now access Foursquare API, but will first of all put in my credentials:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "My credentials:\n",
      "CLIENT_ID: W3C5SHO5BTWD4P2LH1OIAOIQI450LITWR0PYLNP3MOEYGTTD\n",
      "CLIENT_SECRET:0Q5BV1A4JR1T5IG1YP0XTBQYBB23KPLVKDCSLPXN1IW25WVM\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'W3C5SHO5BTWD4P2LH1OIAOIQI450LITWR0PYLNP3MOEYGTTD' # my Foursquare ID\n",
    "CLIENT_SECRET = '0Q5BV1A4JR1T5IG1YP0XTBQYBB23KPLVKDCSLPXN1IW25WVM' # my Foursquare Secret\n",
    "VERSION = '20180605' # Foursquare API version\n",
    "\n",
    "print('My credentials:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create my URL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.foursquare.com/v2/venues/explore?client_id=W3C5SHO5BTWD4P2LH1OIAOIQI450LITWR0PYLNP3MOEYGTTD&client_secret=0Q5BV1A4JR1T5IG1YP0XTBQYBB23KPLVKDCSLPXN1IW25WVM&ll=45.4668,9.1905&v=20180605&radius=500&limit=145'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "limit = 145\n",
    "radius = 500\n",
    "url = 'https://api.foursquare.com/v2/venues/explore?client_id={}&client_secret={}&ll={},{}&v={}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, latitude, longitude, VERSION, radius, limit)\n",
    "url"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Getting coordinates for each district:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Retrieving coordinates...\n",
      "Cannot get coordinates of  Stazione di Milano Centrale, Milan\n",
      "Stazione di Milano Centrale, Milan  is found on position  17 \n",
      "\n"
     ]
    },
    {
     "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>Borough No.</th>\n",
       "      <th>Name</th>\n",
       "      <th>Districts</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Brera</td>\n",
       "      <td>45.471519</td>\n",
       "      <td>9.187735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Centro Storico</td>\n",
       "      <td>45.444613</td>\n",
       "      <td>9.096351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Conca del Naviglio</td>\n",
       "      <td>45.458560</td>\n",
       "      <td>9.177745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Guastalla</td>\n",
       "      <td>45.458252</td>\n",
       "      <td>9.200023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>(Centro storico,)</td>\n",
       "      <td>Porta Sempione</td>\n",
       "      <td>45.477128</td>\n",
       "      <td>9.170598</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Borough No.               Name           Districts   Latitude  Longitude\n",
       "0           1  (Centro storico,)               Brera  45.471519   9.187735\n",
       "1           1  (Centro storico,)      Centro Storico  45.444613   9.096351\n",
       "2           1  (Centro storico,)  Conca del Naviglio  45.458560   9.177745\n",
       "3           1  (Centro storico,)           Guastalla  45.458252   9.200023\n",
       "4           1  (Centro storico,)      Porta Sempione  45.477128   9.170598"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "column_names = ['Latitude', 'Longitude'] \n",
    "\n",
    "coordinates = pd.DataFrame(columns = column_names)\n",
    "\n",
    "print(\"Retrieving coordinates...\")\n",
    "\n",
    "for value in range(len(df_milan[\"Districts\"])):\n",
    "    try:\n",
    "        address = df_milan.iloc[value, 2] + ', Milan'\n",
    "        geolocator = Nominatim(user_agent=\"ny_explorer\")\n",
    "        location = geolocator.geocode(address)\n",
    "        lat = location.latitude\n",
    "        long = location.longitude\n",
    "        coordinates = coordinates.append({'Latitude': lat,'Longitude': long}, ignore_index=True)\n",
    "    except AttributeError:\n",
    "        print (\"Cannot get coordinates of \", address)\n",
    "        print(address, \" is found on position \", value,'\\n')\n",
    "        lat = None\n",
    "        Long = None\n",
    "        coordinates = coordinates.append({'Latitude': lat,'Longitude': long}, ignore_index=True)\n",
    "\n",
    "df_milan[\"Latitude\" ] = coordinates[\"Latitude\"]\n",
    "df_milan[\"Longitude\"] = coordinates[\"Longitude\"]\n",
    "\n",
    "df_milan.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Drop empty rows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
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       "      <td>(Centro storico,)</td>\n",
       "      <td>Porta Sempione</td>\n",
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       "  Borough No.                                               Name  \\\n",
       "0           1                                  (Centro storico,)   \n",
       "1           1                                  (Centro storico,)   \n",
       "2           1                                  (Centro storico,)   \n",
       "3           1                                  (Centro storico,)   \n",
       "4           1                                  (Centro storico,)   \n",
       "5           1                                  (Centro storico,)   \n",
       "6           2  (Stazione di Milano Centrale, Gorla, Turro, Gr...   \n",
       "7           2  (Stazione di Milano Centrale, Gorla, Turro, Gr...   \n",
       "8           2  (Stazione di Milano Centrale, Gorla, Turro, Gr...   \n",
       "9           2  (Stazione di Milano Centrale, Gorla, Turro, Gr...   \n",
       "\n",
       "            Districts   Latitude  Longitude  \n",
       "0               Brera  45.471519   9.187735  \n",
       "1      Centro Storico  45.444613   9.096351  \n",
       "2  Conca del Naviglio  45.458560   9.177745  \n",
       "3           Guastalla  45.458252   9.200023  \n",
       "4      Porta Sempione  45.477128   9.170598  \n",
       "5      Porta Tenaglia  45.477821   9.181593  \n",
       "6             Adriano  45.513572   9.251202  \n",
       "7         Crescenzago  45.509219   9.247484  \n",
       "8               Gorla  45.504945   9.224539  \n",
       "9               Greco  45.502184   9.211233  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_milan = df_milan.dropna(how='any',axis=0)\n",
    "df_milan.reset_index(inplace=True)\n",
    "df_milan.drop(\"index\", inplace=True, axis=1)\n",
    "df_milan.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create map of Milan using latitude and longitude values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.core.display import HTML\n",
    "\n",
    "map_milan = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, label in zip(df_milan['Latitude'], df_milan['Longitude'], df_milan['Districts']+', Borough '+df_milan['Borough No.']):\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\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(map_milan) \n",
    "    \n",
    "map_milan\n",
    "HTML(map_milan._repr_html_())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I define now a function that will utilize Foursquare API to retrieve common venues in each district"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\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 = ['Districts', \n",
    "                  'District Latitude', \n",
    "                  'District Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating a dataframe *milan_venues* to store all the venues called by the function *getNearbyVenues* "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "LIMIT = 145\n",
    "milan_venues = getNearbyVenues(names=df_milan['Districts'],\n",
    "                                   latitudes=df_milan['Latitude'],\n",
    "                                   longitudes=df_milan['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "There are : 3583 venues retrieved\n",
      "\n",
      "\n"
     ]
    },
    {
     "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>Districts</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>Brera</td>\n",
       "      <td>45.471519</td>\n",
       "      <td>9.187735</td>\n",
       "      <td>BVLGARI Hotel Milano</td>\n",
       "      <td>45.470621</td>\n",
       "      <td>9.189779</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brera</td>\n",
       "      <td>45.471519</td>\n",
       "      <td>9.187735</td>\n",
       "      <td>Bulgari Lounge Bar</td>\n",
       "      <td>45.470014</td>\n",
       "      <td>9.188943</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brera</td>\n",
       "      <td>45.471519</td>\n",
       "      <td>9.187735</td>\n",
       "      <td>Di Viole Di Liquirizia</td>\n",
       "      <td>45.471460</td>\n",
       "      <td>9.185336</td>\n",
       "      <td>Cupcake Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Brera</td>\n",
       "      <td>45.471519</td>\n",
       "      <td>9.187735</td>\n",
       "      <td>Pinacoteca di Brera</td>\n",
       "      <td>45.471979</td>\n",
       "      <td>9.188128</td>\n",
       "      <td>Art Museum</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Brera</td>\n",
       "      <td>45.471519</td>\n",
       "      <td>9.187735</td>\n",
       "      <td>Palazzo di Brera</td>\n",
       "      <td>45.472019</td>\n",
       "      <td>9.188043</td>\n",
       "      <td>College Arts Building</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Districts  District Latitude  District Longitude                   Venue  \\\n",
       "0     Brera          45.471519            9.187735    BVLGARI Hotel Milano   \n",
       "1     Brera          45.471519            9.187735      Bulgari Lounge Bar   \n",
       "2     Brera          45.471519            9.187735  Di Viole Di Liquirizia   \n",
       "3     Brera          45.471519            9.187735     Pinacoteca di Brera   \n",
       "4     Brera          45.471519            9.187735        Palazzo di Brera   \n",
       "\n",
       "   Venue Latitude  Venue Longitude         Venue Category  \n",
       "0       45.470621         9.189779                  Hotel  \n",
       "1       45.470014         9.188943           Cocktail Bar  \n",
       "2       45.471460         9.185336           Cupcake Shop  \n",
       "3       45.471979         9.188128             Art Museum  \n",
       "4       45.472019         9.188043  College Arts Building  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"\\nThere are :\", milan_venues.shape[0], \"venues retrieved\\n\\n\")\n",
    "milan_venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Number of venues retrieved for each district:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "        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 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",
       "    <tr>\n",
       "      <th>Districts</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Acquabella</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adriano</th>\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>Affori</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arzaga</th>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Assiano</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vigentino</th>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Villa Magentino</th>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Villaggio dei Fiori</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Villaggio dei Giornalisti</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Villapizzone</th>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>141 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           District Latitude  District Longitude  Venue  \\\n",
       "Districts                                                                 \n",
       "Acquabella                                33                  33     33   \n",
       "Adriano                                    6                   6      6   \n",
       "Affori                                    16                  16     16   \n",
       "Arzaga                                    14                  14     14   \n",
       "Assiano                                    2                   2      2   \n",
       "...                                      ...                 ...    ...   \n",
       "Vigentino                                 31                  31     31   \n",
       "Villa Magentino                           55                  55     55   \n",
       "Villaggio dei Fiori                        4                   4      4   \n",
       "Villaggio dei Giornalisti                 12                  12     12   \n",
       "Villapizzone                              11                  11     11   \n",
       "\n",
       "                           Venue Latitude  Venue Longitude  Venue Category  \n",
       "Districts                                                                   \n",
       "Acquabella                             33               33              33  \n",
       "Adriano                                 6                6               6  \n",
       "Affori                                 16               16              16  \n",
       "Arzaga                                 14               14              14  \n",
       "Assiano                                 2                2               2  \n",
       "...                                   ...              ...             ...  \n",
       "Vigentino                              31               31              31  \n",
       "Villa Magentino                        55               55              55  \n",
       "Villaggio dei Fiori                     4                4               4  \n",
       "Villaggio dei Giornalisti              12               12              12  \n",
       "Villapizzone                           11               11              11  \n",
       "\n",
       "[141 rows x 6 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "milan_venues.groupby('Districts').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 285 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(milan_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***This is just an example amongst other operations I will be performing on my dataset. There is still a lot to exploit before coming up with my final work.***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Thanks for viewing*** :)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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