Data_Gathering.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Table of contents\n",
    "* [Introduction: Business Trends of Sports Market in Istanbul and Predicting the Next Trend](#introduction)\n",
    "* [Collecting the Data](#data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Trends of Sports Market in Istanbul and Predicting the Next Trend <a name=\"introduction\"></a>\n",
    "\n",
    "Individual sports become more and more popular all over the globe due to raise of the self awareness and well-being philosophy is spreading among people.\n",
    "\n",
    "#### The Problem\n",
    "As a result, many disciplines of sports become more and more popular. However, **not all of them become more popular and almost none of them can keep itself as the most preferred one.**\n",
    "\n",
    "In this report, you will find an analysis of sports market in Istanbul, more specifically, Kadikoy and Besiktas Towns and an prediction for an upcoming trend if possible.\n",
    "\n",
    "#### The Interest\n",
    "\n",
    "The results of this report may give a deeper insight to the investors planning to found a business targeting the sports market around the Istanbul and in other regions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>1- Collecting the Data</h1> <a name=\"data\"></a>\n",
    "\n",
    "- **Kadikoy** and **Besiktas** are one of the towns in Istanbul and Turkey that is one of the highest cultural and financial levels in Turkey. This makes them a great candidate to inpect the trends as these regions are generally flag carriers for such trends. The neighborhoods of these towns will be used. The data of this collected from https://postakodu.ptt.gov.tr/ \n",
    "\n",
    "- We will also need the longitude and latitude values for these neighborhoods, This will be obtained using Google Maps API geocoding\n",
    "- We will also need the venue information and its details. This will be obtained using Foursquare Places API\n",
    "\n",
    "- The data that is obtained and processed will be saved to csv files due to limited API use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "#importing essential libraries\n",
    "\n",
    "import requests\n",
    "import pandas as pd\n",
    "import json\n",
    "import numpy as np # library to handle data in a vectorized manner\n",
    "\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "from pandas import json_normalize # tranform JSON file into a pandas dataframe\n",
    "\n",
    "# Matplotlib and associated plotting modules\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "# import k-means from clustering stage\n",
    "from sklearn.cluster import KMeans"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The neighborhood data\n",
    "\n",
    "The regional data is taken from Turkish Postal Office. [Google Geocoding API](https://developers.google.com/maps/documentation/geocoding/start?hl=tr&utm_source=google&utm_medium=cpc&utm_campaign=FY18-Q2-global-demandgen-paidsearchonnetworkhouseads-cs-maps_contactsal_saf&utm_content=text-ad-none-none-DEV_c-CRE_379539525578-ADGP_Hybrid+%7C+AW+SEM+%7C+SKWS+~+Places+%7C+EXA+%7C+Geocoding+API-KWID_43700047426639958-aud-599078372864:kwd-724659181873-userloc_1012782&utm_term=KW_geocoding%20api-ST_geocoding+API&gclid=Cj0KCQjwpNr4BRDYARIsAADIx9yNpFvxe1C-hcil81jviNGd5c8lE-jqKjrnpIiYYvG7ddGcJWxa7vYaApVYEALw_wcB) is used to get the coordinates for each borough."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "#this location data is taken from Turkish Postal Office\n",
    "\n",
    "df= pd.read_csv('bjk_kdky.csv',delimiter=\";\",encoding=\"utf-8-sig\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The data itself is missing lat, lon values\n",
    "\n",
    "Geocoding API is needed to define the coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "      <th>City</th>\n",
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       "      <td>ABBASAĞA MAH                                  ...</td>\n",
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       "      <td>CİHANNÜMA MAH                                 ...</td>\n",
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       "      <td>SİNANPAŞA MAH                                 ...</td>\n",
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       "      <td>BEŞİKTAŞ</td>\n",
       "      <td>AKATLAR</td>\n",
       "      <td>AKAT MAH                                      ...</td>\n",
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       "      <td>BEŞİKTAŞ</td>\n",
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       "      <td>ARNAVUTKÖY MAH                                ...</td>\n",
       "      <td>34345</td>\n",
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      "text/plain": [
       "                             City                            Town  \\\n",
       "0  İSTANBUL                        BEŞİKTAŞ                         \n",
       "1  İSTANBUL                        BEŞİKTAŞ                         \n",
       "2  İSTANBUL                        BEŞİKTAŞ                         \n",
       "3  İSTANBUL                        BEŞİKTAŞ                         \n",
       "4  İSTANBUL                        BEŞİKTAŞ                         \n",
       "\n",
       "                     Neighborhood  \\\n",
       "0  ABBASAĞA                         \n",
       "1  ABBASAĞA                         \n",
       "2  ABBASAĞA                         \n",
       "3  AKATLAR                          \n",
       "4  ARNAVUTKÖY                       \n",
       "\n",
       "                                             Borough  Post Code  \n",
       "0  ABBASAĞA MAH                                  ...      34022  \n",
       "1  CİHANNÜMA MAH                                 ...      34022  \n",
       "2  SİNANPAŞA MAH                                 ...      34022  \n",
       "3  AKAT MAH                                      ...      34335  \n",
       "4  ARNAVUTKÖY MAH                                ...      34345  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Google Geocode API is used to retrieve the latitude and longtitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
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       "      <td>ARNAVUTKÖY MAH                                ...</td>\n",
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       "      <td>KURUÇEŞME MAH                                 ...</td>\n",
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       "      <td>BEBEK MAH                                     ...</td>\n",
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       "      <td>İSTANBUL</td>\n",
       "      <td>BEŞİKTAŞ</td>\n",
       "      <td>ETİLER</td>\n",
       "      <td>ETİLER MAH                                    ...</td>\n",
       "      <td>34337</td>\n",
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       "      <td>BALMUMCU MAH                                  ...</td>\n",
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       "      <td>DİKİLİTAŞ MAH                                 ...</td>\n",
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       "      <td>BEŞİKTAŞ</td>\n",
       "      <td>GAYRETTEPE</td>\n",
       "      <td>GAYRETTEPE MAH                                ...</td>\n",
       "      <td>34349</td>\n",
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       "      <td>29.006711</td>\n",
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       "      <td>İSTANBUL</td>\n",
       "      <td>BEŞİKTAŞ</td>\n",
       "      <td>GAYRETTEPE</td>\n",
       "      <td>YILDIZ MAH                                    ...</td>\n",
       "      <td>34349</td>\n",
       "      <td>41.047150</td>\n",
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       "      <td>İSTANBUL</td>\n",
       "      <td>BEŞİKTAŞ</td>\n",
       "      <td>LEVAZIM</td>\n",
       "      <td>KÜLTÜR MAH                                    ...</td>\n",
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       "      <td>BEŞİKTAŞ</td>\n",
       "      <td>LEVAZIM</td>\n",
       "      <td>LEVAZIM MAH                                   ...</td>\n",
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       "      <td>İSTANBUL</td>\n",
       "      <td>BEŞİKTAŞ</td>\n",
       "      <td>LEVAZIM</td>\n",
       "      <td>NİSBETİYE MAH                                 ...</td>\n",
       "      <td>34340</td>\n",
       "      <td>41.071772</td>\n",
       "      <td>29.021261</td>\n",
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      "text/plain": [
       "                              City                            Town  \\\n",
       "0   İSTANBUL                        BEŞİKTAŞ                         \n",
       "1   İSTANBUL                        BEŞİKTAŞ                         \n",
       "2   İSTANBUL                        BEŞİKTAŞ                         \n",
       "3   İSTANBUL                        BEŞİKTAŞ                         \n",
       "4   İSTANBUL                        BEŞİKTAŞ                         \n",
       "5   İSTANBUL                        BEŞİKTAŞ                         \n",
       "6   İSTANBUL                        BEŞİKTAŞ                         \n",
       "7   İSTANBUL                        BEŞİKTAŞ                         \n",
       "8   İSTANBUL                        BEŞİKTAŞ                         \n",
       "9   İSTANBUL                        BEŞİKTAŞ                         \n",
       "10  İSTANBUL                        BEŞİKTAŞ                         \n",
       "11  İSTANBUL                        BEŞİKTAŞ                         \n",
       "12  İSTANBUL                        BEŞİKTAŞ                         \n",
       "13  İSTANBUL                        BEŞİKTAŞ                         \n",
       "14  İSTANBUL                        BEŞİKTAŞ                         \n",
       "\n",
       "                      Neighborhood  \\\n",
       "0   ABBASAĞA                         \n",
       "1   ABBASAĞA                         \n",
       "2   ABBASAĞA                         \n",
       "3   AKATLAR                          \n",
       "4   ARNAVUTKÖY                       \n",
       "5   ARNAVUTKÖY                       \n",
       "6   BEBEK                            \n",
       "7   ETİLER                           \n",
       "8   GAYRETTEPE                       \n",
       "9   GAYRETTEPE                       \n",
       "10  GAYRETTEPE                       \n",
       "11  GAYRETTEPE                       \n",
       "12  LEVAZIM                          \n",
       "13  LEVAZIM                          \n",
       "14  LEVAZIM                          \n",
       "\n",
       "                                              Borough  Post Code        lat  \\\n",
       "0   ABBASAĞA MAH                                  ...      34022  41.048010   \n",
       "1   CİHANNÜMA MAH                                 ...      34022  41.047211   \n",
       "2   SİNANPAŞA MAH                                 ...      34022  41.041866   \n",
       "3   AKAT MAH                                      ...      34335  41.085614   \n",
       "4   ARNAVUTKÖY MAH                                ...      34345  41.068488   \n",
       "5   KURUÇEŞME MAH                                 ...      34345  41.061630   \n",
       "6   BEBEK MAH                                     ...      34342  41.077744   \n",
       "7   ETİLER MAH                                    ...      34337  41.087042   \n",
       "8   BALMUMCU MAH                                  ...      34349  41.059105   \n",
       "9   DİKİLİTAŞ MAH                                 ...      34349  41.055735   \n",
       "10  GAYRETTEPE MAH                                ...      34349  41.064196   \n",
       "11  YILDIZ MAH                                    ...      34349  41.047150   \n",
       "12  KÜLTÜR MAH                                    ...      34340  41.073202   \n",
       "13  LEVAZIM MAH                                   ...      34340  41.063314   \n",
       "14  NİSBETİYE MAH                                 ...      34340  41.071772   \n",
       "\n",
       "          lng  \n",
       "0   29.004528  \n",
       "1   29.007439  \n",
       "2   29.005112  \n",
       "3   29.025626  \n",
       "4   29.041629  \n",
       "5   29.032900  \n",
       "6   29.041629  \n",
       "7   29.037264  \n",
       "8   29.014714  \n",
       "9   29.003801  \n",
       "10  29.006711  \n",
       "11  29.013986  \n",
       "12  29.032900  \n",
       "13  29.018351  \n",
       "14  29.021261  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat_l,long_l=[],[]\n",
    "for borough in df['Borough']:\n",
    "    #api key will be removed\n",
    "    url='https://maps.googleapis.com/maps/api/geocode/json?address={}, {} , Istanbul, Turkey&key=[removed]'.format(borough,df.loc[df['Borough'] == borough]['Town'])\n",
    "    api_call = requests.get(url).json()\n",
    "    lat_l.append(api_call['results'][0]['geometry'][\"location\"][\"lat\"])\n",
    "    long_l.append(api_call['results'][0]['geometry'][\"location\"][\"lng\"])\n",
    "\n",
    "df['lat']=lat_l\n",
    "df['lng']=long_l\n",
    "\n",
    "df.head(15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preprocessing the neighborhood data\n",
    "\n",
    "Turkish Characters are causing problems, therefore the following code is essential to have a better dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City</th>\n",
       "      <th>Town</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Post Code</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>İstanbul</td>\n",
       "      <td>Besi̇ktas</td>\n",
       "      <td>Abbasaga</td>\n",
       "      <td>Abbasaga mah</td>\n",
       "      <td>34022</td>\n",
       "      <td>41.048010</td>\n",
       "      <td>29.004528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>İstanbul</td>\n",
       "      <td>Besi̇ktas</td>\n",
       "      <td>Abbasaga</td>\n",
       "      <td>Ci̇hannuma mah</td>\n",
       "      <td>34022</td>\n",
       "      <td>41.047211</td>\n",
       "      <td>29.007439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>İstanbul</td>\n",
       "      <td>Besi̇ktas</td>\n",
       "      <td>Abbasaga</td>\n",
       "      <td>Si̇nanpasa mah</td>\n",
       "      <td>34022</td>\n",
       "      <td>41.041866</td>\n",
       "      <td>29.005112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>İstanbul</td>\n",
       "      <td>Besi̇ktas</td>\n",
       "      <td>Akatlar</td>\n",
       "      <td>Akat mah</td>\n",
       "      <td>34335</td>\n",
       "      <td>41.085614</td>\n",
       "      <td>29.025626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>İstanbul</td>\n",
       "      <td>Besi̇ktas</td>\n",
       "      <td>Arnavutkoy</td>\n",
       "      <td>Arnavutkoy mah</td>\n",
       "      <td>34345</td>\n",
       "      <td>41.068488</td>\n",
       "      <td>29.041629</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       City       Town Neighborhood         Borough  Post Code        lat  \\\n",
       "0  İstanbul  Besi̇ktas     Abbasaga    Abbasaga mah      34022  41.048010   \n",
       "1  İstanbul  Besi̇ktas     Abbasaga  Ci̇hannuma mah      34022  41.047211   \n",
       "2  İstanbul  Besi̇ktas     Abbasaga  Si̇nanpasa mah      34022  41.041866   \n",
       "3  İstanbul  Besi̇ktas      Akatlar        Akat mah      34335  41.085614   \n",
       "4  İstanbul  Besi̇ktas   Arnavutkoy  Arnavutkoy mah      34345  41.068488   \n",
       "\n",
       "         lng  \n",
       "0  29.004528  \n",
       "1  29.007439  \n",
       "2  29.005112  \n",
       "3  29.025626  \n",
       "4  29.041629  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Tr2Eng = str.maketrans(\"ÇĞIÖŞÜ\", \"CGIOSU\")\n",
    "for Borough in df['Borough']:\n",
    "    df.loc[df['Borough'] == Borough, 'Borough'] = Borough.translate(Tr2Eng).capitalize().strip()\n",
    "for Neighborhood in df['Neighborhood']:\n",
    "    df.loc[df['Neighborhood'] == Neighborhood, 'Neighborhood'] = Neighborhood.translate(Tr2Eng).capitalize().strip()\n",
    "for Town in df['Town']:\n",
    "    df.loc[df['Town'] == Town, 'Town'] = Town.translate(Tr2Eng).capitalize().strip()\n",
    "for City in df['City']:\n",
    "    df.loc[df['City'] == City, 'City'] = City.translate(Tr2Eng).capitalize().strip()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Saving to a csv file not to spend API calls repeatedly\n",
    "\n",
    "free API calls are limited. Therefore, the dataframe is exported to a CSV for future uses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(\"bjk_kdky_LL.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generating the map with borough centers\n",
    "\n",
    "For a simple overview"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
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                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_61d4ee30b2044283971ba8e7b929fd91 = L.popup({maxWidth: '300'});

            
                var html_0463d8214ad84509b4f4bdaf90d5561b = $('<div id="html_0463d8214ad84509b4f4bdaf90d5561b" style="width: 100.0%; height: 100.0%;">Istanbul, Yildiz mah</div>')[0];
                popup_61d4ee30b2044283971ba8e7b929fd91.setContent(html_0463d8214ad84509b4f4bdaf90d5561b);
            

            circle_marker_ed064a5dd9a24a0c8aade21e3062f577.bindPopup(popup_61d4ee30b2044283971ba8e7b929fd91);

            
        
    
            var circle_marker_2af09a6bc20a49caaab9f7b7f647ca8b = L.circleMarker(
                [41.0732019,29.0329],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_6c10fabac36c48dfa21dfdba804f5773 = L.popup({maxWidth: '300'});

            
                var html_08415b5222fe4e50a740d5b5e7f3265d = $('<div id="html_08415b5222fe4e50a740d5b5e7f3265d" style="width: 100.0%; height: 100.0%;">Istanbul, Kultur mah</div>')[0];
                popup_6c10fabac36c48dfa21dfdba804f5773.setContent(html_08415b5222fe4e50a740d5b5e7f3265d);
            

            circle_marker_2af09a6bc20a49caaab9f7b7f647ca8b.bindPopup(popup_6c10fabac36c48dfa21dfdba804f5773);

            
        
    
            var circle_marker_d3c771b9c8f34ccb8dee2f4950408cf3 = L.circleMarker(
                [41.06331369999999,29.0183512],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_0bb113f4240c4526a76281f8887725f9 = L.popup({maxWidth: '300'});

            
                var html_4c59df587af84656bafa21e6c66f483b = $('<div id="html_4c59df587af84656bafa21e6c66f483b" style="width: 100.0%; height: 100.0%;">Istanbul, Levazim mah</div>')[0];
                popup_0bb113f4240c4526a76281f8887725f9.setContent(html_4c59df587af84656bafa21e6c66f483b);
            

            circle_marker_d3c771b9c8f34ccb8dee2f4950408cf3.bindPopup(popup_0bb113f4240c4526a76281f8887725f9);

            
        
    
            var circle_marker_c6675708a724490e8c96c05af5d30b26 = L.circleMarker(
                [41.0717724,29.021261],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_f30db7637fd649f2a5933280aadf00a6 = L.popup({maxWidth: '300'});

            
                var html_ef430d01ee324db495b9660da980bf07 = $('<div id="html_ef430d01ee324db495b9660da980bf07" style="width: 100.0%; height: 100.0%;">Istanbul, Ni̇sbeti̇ye mah</div>')[0];
                popup_f30db7637fd649f2a5933280aadf00a6.setContent(html_ef430d01ee324db495b9660da980bf07);
            

            circle_marker_c6675708a724490e8c96c05af5d30b26.bindPopup(popup_f30db7637fd649f2a5933280aadf00a6);

            
        
    
            var circle_marker_231450c9a5614d57b8f771846ab45444 = L.circleMarker(
                [41.0632296,29.0270806],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_b7ff598650ad4b9890e580b867b42e68 = L.popup({maxWidth: '300'});

            
                var html_61879f2deaae48f98cda6186552c9e2d = $('<div id="html_61879f2deaae48f98cda6186552c9e2d" style="width: 100.0%; height: 100.0%;">Istanbul, Ulus mah</div>')[0];
                popup_b7ff598650ad4b9890e580b867b42e68.setContent(html_61879f2deaae48f98cda6186552c9e2d);
            

            circle_marker_231450c9a5614d57b8f771846ab45444.bindPopup(popup_b7ff598650ad4b9890e580b867b42e68);

            
        
    
            var circle_marker_acb3dc2b753f4db0a63f876e9d69f094 = L.circleMarker(
                [41.0934402,29.0139863],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_2347f807c069439e8e25bec338e951ee = L.popup({maxWidth: '300'});

            
                var html_e76fd153c5a148de93eaa3969c8bdc83 = $('<div id="html_e76fd153c5a148de93eaa3969c8bdc83" style="width: 100.0%; height: 100.0%;">Istanbul, Konaklar mah</div>')[0];
                popup_2347f807c069439e8e25bec338e951ee.setContent(html_e76fd153c5a148de93eaa3969c8bdc83);
            

            circle_marker_acb3dc2b753f4db0a63f876e9d69f094.bindPopup(popup_2347f807c069439e8e25bec338e951ee);

            
        
    
            var circle_marker_612c10e6908c4f98aaa9a8af52610299 = L.circleMarker(
                [41.0818288,29.0183512],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_a07c6bfdedf24654b063069a38cbc525 = L.popup({maxWidth: '300'});

            
                var html_35a5d717a8044006a69fe95afd00dddd = $('<div id="html_35a5d717a8044006a69fe95afd00dddd" style="width: 100.0%; height: 100.0%;">Istanbul, Levent mah</div>')[0];
                popup_a07c6bfdedf24654b063069a38cbc525.setContent(html_35a5d717a8044006a69fe95afd00dddd);
            

            circle_marker_612c10e6908c4f98aaa9a8af52610299.bindPopup(popup_a07c6bfdedf24654b063069a38cbc525);

            
        
    
            var circle_marker_4336acf40c9049c8940123177a7fd433 = L.circleMarker(
                [41.0509393,29.021261],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_963162ce2b484929bdd957749d41b42f = L.popup({maxWidth: '300'});

            
                var html_c733a964567b40a18dc0943a3c65a8dd = $('<div id="html_c733a964567b40a18dc0943a3c65a8dd" style="width: 100.0%; height: 100.0%;">Istanbul, Meci̇di̇ye mah</div>')[0];
                popup_963162ce2b484929bdd957749d41b42f.setContent(html_c733a964567b40a18dc0943a3c65a8dd);
            

            circle_marker_4336acf40c9049c8940123177a7fd433.bindPopup(popup_963162ce2b484929bdd957749d41b42f);

            
        
    
            var circle_marker_34ceee8ca574415291e0bdbc11c68ce7 = L.circleMarker(
                [41.0539703,29.0270806],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_feb4074555c04e9c9c5cda0d55e9546c = L.popup({maxWidth: '300'});

            
                var html_8386d2aa37c14305ab5b0af9e92f4940 = $('<div id="html_8386d2aa37c14305ab5b0af9e92f4940" style="width: 100.0%; height: 100.0%;">Istanbul, Ortakoy mah</div>')[0];
                popup_feb4074555c04e9c9c5cda0d55e9546c.setContent(html_8386d2aa37c14305ab5b0af9e92f4940);
            

            circle_marker_34ceee8ca574415291e0bdbc11c68ce7.bindPopup(popup_feb4074555c04e9c9c5cda0d55e9546c);

            
        
    
            var circle_marker_50c0b9e5638a4ff6b3ee136b9cb98406 = L.circleMarker(
                [41.0484504,28.9987081],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_32b0c5c893b44a368f480e482ae29250 = L.popup({maxWidth: '300'});

            
                var html_4026afacd0d94d81918fc34c9a058d35 = $('<div id="html_4026afacd0d94d81918fc34c9a058d35" style="width: 100.0%; height: 100.0%;">Istanbul, Muradi̇ye mah</div>')[0];
                popup_32b0c5c893b44a368f480e482ae29250.setContent(html_4026afacd0d94d81918fc34c9a058d35);
            

            circle_marker_50c0b9e5638a4ff6b3ee136b9cb98406.bindPopup(popup_32b0c5c893b44a368f480e482ae29250);

            
        
    
            var circle_marker_0676a8aa9b08406c9f815310c230fc14 = L.circleMarker(
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                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_48df6f1d86614fc3a04d98e23d261d9e = L.popup({maxWidth: '300'});

            
                var html_cbd4137cfd074cfdb79a9f0f822e62e4 = $('<div id="html_cbd4137cfd074cfdb79a9f0f822e62e4" style="width: 100.0%; height: 100.0%;">Istanbul, Turkali̇ mah</div>')[0];
                popup_48df6f1d86614fc3a04d98e23d261d9e.setContent(html_cbd4137cfd074cfdb79a9f0f822e62e4);
            

            circle_marker_0676a8aa9b08406c9f815310c230fc14.bindPopup(popup_48df6f1d86614fc3a04d98e23d261d9e);

            
        
    
            var circle_marker_ace35fdb3644466aa675b65fc6eeb69f = L.circleMarker(
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                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_e5da644b77814ea4a4424485cc20fd06 = L.popup({maxWidth: '300'});

            
                var html_4458e4efa65c4aa582163ec23ea39040 = $('<div id="html_4458e4efa65c4aa582163ec23ea39040" style="width: 100.0%; height: 100.0%;">Istanbul, Vi̇snezade mah</div>')[0];
                popup_e5da644b77814ea4a4424485cc20fd06.setContent(html_4458e4efa65c4aa582163ec23ea39040);
            

            circle_marker_ace35fdb3644466aa675b65fc6eeb69f.bindPopup(popup_e5da644b77814ea4a4424485cc20fd06);

            
        
    
            var circle_marker_541e54d9b7d8412db5ab07d46bb427db = L.circleMarker(
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  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_53f3e6ae604849898ed9ba098b69fd2f = L.popup({maxWidth: '300'});

            
                var html_13b1a433b783474cba6bda084bb5aa89 = $('<div id="html_13b1a433b783474cba6bda084bb5aa89" style="width: 100.0%; height: 100.0%;">Istanbul, Bostanci mah</div>')[0];
                popup_53f3e6ae604849898ed9ba098b69fd2f.setContent(html_13b1a433b783474cba6bda084bb5aa89);
            

            circle_marker_541e54d9b7d8412db5ab07d46bb427db.bindPopup(popup_53f3e6ae604849898ed9ba098b69fd2f);

            
        
    
            var circle_marker_14db880b7c294287a7b76807493360b5 = L.circleMarker(
                [40.9679267,29.0619934],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_ca3f0593b3264a8a8367176325a3936b = L.popup({maxWidth: '300'});

            
                var html_ba7fb300b8ca4a6b9138012b0be41da3 = $('<div id="html_ba7fb300b8ca4a6b9138012b0be41da3" style="width: 100.0%; height: 100.0%;">Istanbul, Caddebostan mah</div>')[0];
                popup_ca3f0593b3264a8a8367176325a3936b.setContent(html_ba7fb300b8ca4a6b9138012b0be41da3);
            

            circle_marker_14db880b7c294287a7b76807493360b5.bindPopup(popup_ca3f0593b3264a8a8367176325a3936b);

            
        
    
            var circle_marker_cb69bd1e26004646a588c6f924685522 = L.circleMarker(
                [40.9837196,29.0256257],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_8ea1ae1333b842dab6e85a3c1b099fe9 = L.popup({maxWidth: '300'});

            
                var html_32fbbdcf5c294f9a81a01240fc964cb1 = $('<div id="html_32fbbdcf5c294f9a81a01240fc964cb1" style="width: 100.0%; height: 100.0%;">Istanbul, Caferaga mah</div>')[0];
                popup_8ea1ae1333b842dab6e85a3c1b099fe9.setContent(html_32fbbdcf5c294f9a81a01240fc964cb1);
            

            circle_marker_cb69bd1e26004646a588c6f924685522.bindPopup(popup_8ea1ae1333b842dab6e85a3c1b099fe9);

            
        
    
            var circle_marker_dd59c790be6a4408a5db0bf76c621047 = L.circleMarker(
                [40.9896682,29.0503567],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_f843d4c0376e40e081fef7bcab433eca = L.popup({maxWidth: '300'});

            
                var html_07c1fc983aa641eb938cec9e7ad373c8 = $('<div id="html_07c1fc983aa641eb938cec9e7ad373c8" style="width: 100.0%; height: 100.0%;">Istanbul, Egi̇ti̇m mah</div>')[0];
                popup_f843d4c0376e40e081fef7bcab433eca.setContent(html_07c1fc983aa641eb938cec9e7ad373c8);
            

            circle_marker_dd59c790be6a4408a5db0bf76c621047.bindPopup(popup_f843d4c0376e40e081fef7bcab433eca);

            
        
    
            var circle_marker_63284672fd764d5f97dfd76c2438bb09 = L.circleMarker(
                [40.9966818,29.0438107],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_235e1226faf0490da22a46cdb571b304 = L.popup({maxWidth: '300'});

            
                var html_37b42e8e2abc4c048049ed1586506ec7 = $('<div id="html_37b42e8e2abc4c048049ed1586506ec7" style="width: 100.0%; height: 100.0%;">Istanbul, Hasanpasa mah</div>')[0];
                popup_235e1226faf0490da22a46cdb571b304.setContent(html_37b42e8e2abc4c048049ed1586506ec7);
            

            circle_marker_63284672fd764d5f97dfd76c2438bb09.bindPopup(popup_235e1226faf0490da22a46cdb571b304);

            
        
    
            var circle_marker_6a12a9b397a64569a3083746a3073e0b = L.circleMarker(
                [40.9731949,29.0765381],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_159ac842486e4e8ca73161f6ae400d2d = L.popup({maxWidth: '300'});

            
                var html_1afcdc0bf2f64cf6b9fe59d36180eee2 = $('<div id="html_1afcdc0bf2f64cf6b9fe59d36180eee2" style="width: 100.0%; height: 100.0%;">Istanbul, Erenkoy mah</div>')[0];
                popup_159ac842486e4e8ca73161f6ae400d2d.setContent(html_1afcdc0bf2f64cf6b9fe59d36180eee2);
            

            circle_marker_6a12a9b397a64569a3083746a3073e0b.bindPopup(popup_159ac842486e4e8ca73161f6ae400d2d);

            
        
    
            var circle_marker_2544a211c4c543689c2aa63c3d7634ec = L.circleMarker(
                [40.97428620000001,29.0430833],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
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            var popup_63cffd55b6404dd89de2ee5fffd9c640 = L.popup({maxWidth: '300'});

            
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                popup_c4c2e0e54d2e42ebb76a3ac14400453b.setContent(html_d7b4c243e15846a0897fcea2ba74b895);
            

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                popup_061d9d4d2b7b40ae88bbd7a8aa51488e.setContent(html_36904ddcfe1a4cab9c256508a7c5c295);
            

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                popup_c44f2f46f92543579604585a20cd8c46.setContent(html_8dea1777767c4449a680b13589e5f7af);
            

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                var html_422072688b864618821182811a363c47 = $('<div id="html_422072688b864618821182811a363c47" style="width: 100.0%; height: 100.0%;">Istanbul, Fi̇ki̇rtepe mah</div>')[0];
                popup_abbeca2298c64095b1e623fb38a5ef29.setContent(html_422072688b864618821182811a363c47);
            

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            var popup_390318a5c82d4825b06f969f507cd51e = L.popup({maxWidth: '300'});

            
                var html_394eb373574d498fb2146fa9eeb85016 = $('<div id="html_394eb373574d498fb2146fa9eeb85016" style="width: 100.0%; height: 100.0%;">Istanbul, Goztepe mah</div>')[0];
                popup_390318a5c82d4825b06f969f507cd51e.setContent(html_394eb373574d498fb2146fa9eeb85016);
            

            circle_marker_514a90aea1ec46e1b4a0e562a7073951.bindPopup(popup_390318a5c82d4825b06f969f507cd51e);

            
        
    
            var circle_marker_4822438f087547b8bfcd4ca5f08d0dea = L.circleMarker(
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}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
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                var html_8f4d9e9f6cde4344a15b9ec94036d295 = $('<div id="html_8f4d9e9f6cde4344a15b9ec94036d295" style="width: 100.0%; height: 100.0%;">Istanbul, Acibadem mah</div>')[0];
                popup_5e66f4b53f0d4e85ba37da32650459b5.setContent(html_8f4d9e9f6cde4344a15b9ec94036d295);
            

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            var circle_marker_b62eee26709a458d8e99c061efc0750f = L.circleMarker(
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                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_71d0d3300e1847c5bd6d7f65e14cf789 = L.popup({maxWidth: '300'});

            
                var html_88039f4c3c7d42959a10ed03b9f78572 = $('<div id="html_88039f4c3c7d42959a10ed03b9f78572" style="width: 100.0%; height: 100.0%;">Istanbul, Kosuyolu mah</div>')[0];
                popup_71d0d3300e1847c5bd6d7f65e14cf789.setContent(html_88039f4c3c7d42959a10ed03b9f78572);
            

            circle_marker_b62eee26709a458d8e99c061efc0750f.bindPopup(popup_71d0d3300e1847c5bd6d7f65e14cf789);

            
        
    
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}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_a52c21bf33584929aa9d6391efb1bd0c = L.popup({maxWidth: '300'});

            
                var html_5ec376d72fe54a34b434b7d847c3690b = $('<div id="html_5ec376d72fe54a34b434b7d847c3690b" style="width: 100.0%; height: 100.0%;">Istanbul, Kozyatagi mah</div>')[0];
                popup_a52c21bf33584929aa9d6391efb1bd0c.setContent(html_5ec376d72fe54a34b434b7d847c3690b);
            

            circle_marker_6e858b22621545baa486654c3aa5e945.bindPopup(popup_a52c21bf33584929aa9d6391efb1bd0c);

            
        
    
            var circle_marker_62b880b8cb7c4f608a21df2be5baab04 = L.circleMarker(
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                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_b171fd54fbc443e6a2dfe9028c1774a0 = L.popup({maxWidth: '300'});

            
                var html_f310cf4928004d10b96cdcf98b9cf7e1 = $('<div id="html_f310cf4928004d10b96cdcf98b9cf7e1" style="width: 100.0%; height: 100.0%;">Istanbul, Merdi̇venkoy mah</div>')[0];
                popup_b171fd54fbc443e6a2dfe9028c1774a0.setContent(html_f310cf4928004d10b96cdcf98b9cf7e1);
            

            circle_marker_62b880b8cb7c4f608a21df2be5baab04.bindPopup(popup_b171fd54fbc443e6a2dfe9028c1774a0);

            
        
    
            var circle_marker_dab5e2f2e60e4471907c281ad7bd37a0 = L.circleMarker(
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                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_2d1e33be4d5040a8a0fbd93d36cb9fc1 = L.popup({maxWidth: '300'});

            
                var html_854e618d0bfd453b9caa2ac42ea93f60 = $('<div id="html_854e618d0bfd453b9caa2ac42ea93f60" style="width: 100.0%; height: 100.0%;">Istanbul, 19 mayis mah</div>')[0];
                popup_2d1e33be4d5040a8a0fbd93d36cb9fc1.setContent(html_854e618d0bfd453b9caa2ac42ea93f60);
            

            circle_marker_dab5e2f2e60e4471907c281ad7bd37a0.bindPopup(popup_2d1e33be4d5040a8a0fbd93d36cb9fc1);

            
        
    
            var circle_marker_e82d296f1a384cab92aea6265ad14fbb = L.circleMarker(
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  "bubblingMouseEvents": true,
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  "radius": 5,
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}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_918a49937f88486dae0361805cb9ea73 = L.popup({maxWidth: '300'});

            
                var html_28987866d64c467fad2f2db34d938e72 = $('<div id="html_28987866d64c467fad2f2db34d938e72" style="width: 100.0%; height: 100.0%;">Istanbul, Osmanaga mah</div>')[0];
                popup_918a49937f88486dae0361805cb9ea73.setContent(html_28987866d64c467fad2f2db34d938e72);
            

            circle_marker_e82d296f1a384cab92aea6265ad14fbb.bindPopup(popup_918a49937f88486dae0361805cb9ea73);

            
        
    
            var circle_marker_74cde9af93454a3fbc243ebc4d325a24 = L.circleMarker(
                [40.9960665,29.0270806],
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  "bubblingMouseEvents": true,
  "color": "blue",
  "dashArray": null,
  "dashOffset": null,
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  "fillColor": "#3186cc",
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}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_fc5387414288464babceb113d926c688 = L.popup({maxWidth: '300'});

            
                var html_3297a86b57da4c299f3350098fb17c68 = $('<div id="html_3297a86b57da4c299f3350098fb17c68" style="width: 100.0%; height: 100.0%;">Istanbul, Rasi̇mpasa mah</div>')[0];
                popup_fc5387414288464babceb113d926c688.setContent(html_3297a86b57da4c299f3350098fb17c68);
            

            circle_marker_74cde9af93454a3fbc243ebc4d325a24.bindPopup(popup_fc5387414288464babceb113d926c688);

            
        
    
            var circle_marker_caab75a060d7484ea0be13b629d1dc3e = L.circleMarker(
                [40.9894,29.0798],
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  "color": "blue",
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  "dashOffset": null,
  "fill": true,
  "fillColor": "#3186cc",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_38c0037c18ad4642bf70785d3ad88144 = L.popup({maxWidth: '300'});

            
                var html_2d1f95db77e54cd186176b3fcbdde6c8 = $('<div id="html_2d1f95db77e54cd186176b3fcbdde6c8" style="width: 100.0%; height: 100.0%;">Istanbul, Sahrayicedi̇t mah</div>')[0];
                popup_38c0037c18ad4642bf70785d3ad88144.setContent(html_2d1f95db77e54cd186176b3fcbdde6c8);
            

            circle_marker_caab75a060d7484ea0be13b629d1dc3e.bindPopup(popup_38c0037c18ad4642bf70785d3ad88144);

            
        
    
            var circle_marker_138f097eeb284667b7f177a5cdf263a6 = L.circleMarker(
                [40.963081,29.0838099],
                {
  "bubblingMouseEvents": true,
  "color": "blue",
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}
                ).addTo(map_9b42495ed0a54e5d886039394d4c934d);
            
    
            var popup_530389b4d1864f76a99e97971d33e0cc = L.popup({maxWidth: '300'});

            
                var html_40f4296c1b7f454bb230b83a86d2605f = $('<div id="html_40f4296c1b7f454bb230b83a86d2605f" style="width: 100.0%; height: 100.0%;">Istanbul, Suadi̇ye mah</div>')[0];
                popup_530389b4d1864f76a99e97971d33e0cc.setContent(html_40f4296c1b7f454bb230b83a86d2605f);
            

            circle_marker_138f097eeb284667b7f177a5cdf263a6.bindPopup(popup_530389b4d1864f76a99e97971d33e0cc);

            
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f7932000f28>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import folium\n",
    "\n",
    "#Show an initial map of the neighborhoods in Kadıköy and Beşiktaş\n",
    "# create map of Kadıköy and Beşiktaş using first entries latitude and longitude values\n",
    "map_ist = folium.Map(location=[df[\"lat\"][0], df[\"lng\"][0]], zoom_start=12)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough in zip(df['lat'], df['lng'], df['Borough']):\n",
    "    label = 'Istanbul, {}'.format(borough)\n",
    "\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_ist)  \n",
    "    \n",
    "map_ist"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Getting more information about Neighborhoods</h1>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Splitting Kadıköy and Beşiktaş\n",
    "\n",
    "We need to split the data to find out the pioneer town for the purpose. We will check the creation dates of the venues to find out which has the venues first"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(21, 7)\n",
      "(23, 7)\n"
     ]
    }
   ],
   "source": [
    "#Filter Kadikoy data to only use boroughs in Kadikoy\n",
    "kadikoy_df = df[df['Town'].str.contains('Kadikoy')]\n",
    "print(kadikoy_df.shape)\n",
    "#Filter Kadikoy data to only use boroughs in Kadikoy\n",
    "besiktas_df = df[df['Town'].str.contains('Besi̇ktas')]\n",
    "print(besiktas_df.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>Use Four Square API to Explore</h3>\n",
    "Using the Foursquare API to explore the neighborhoods and segment them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "CLIENT_ID = '[RESETTED]' \n",
    "CLIENT_SECRET = '[RESETTED]' # WILL BE RESETTED AFTER RUN\n",
    "VERSION = '20180605' # Foursquare API version"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Foursquare API call\n",
    "\n",
    "First endpoint will be the Venue - Search of Foursquare\n",
    "\n",
    "We will use :\n",
    "\n",
    "- **100 Venues limit**\n",
    "- **500 m radius around the coordinates of neighborhood**\n",
    "- **_Gym / Fitness Center_ category on Foursquare**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's create a function to find venue information around the given coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    LIMIT = 100 #max numbers of venues\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/search?client_id={}&client_secret={}&ll={},{}&v={}&radius={}&limit={}&categoryId=4bf58dd8d48988d175941735'.format(\n",
    "            CLIENT_ID,\n",
    "            CLIENT_SECRET,\n",
    "            lat,\n",
    "            lng,\n",
    "            VERSION,\n",
    "            radius,\n",
    "            LIMIT\n",
    "        )\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()['response']['venues']\n",
    "\n",
    "        # return only relevant information for each nearby venue\n",
    "        for v in results:\n",
    "            venues_list.append([(\n",
    "                name, \n",
    "                lat, \n",
    "                lng,\n",
    "                v['id'],\n",
    "                v['name'], \n",
    "                v['location']['lat'], \n",
    "                v['location']['lng'],\n",
    "                v['location']['distance'],\n",
    "                v['categories'][0]['name'])])\n",
    "\n",
    "        nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "        nearby_venues.columns = ['Neighborhood', \n",
    "                                  'Neighborhood Latitude', \n",
    "                                  'Neighborhood Longitude', \n",
    "                                  'Venue ID',\n",
    "                                  'Venue', \n",
    "                                  'Venue Latitude', \n",
    "                                  'Venue Longitude',\n",
    "                                  'Venue Distance',\n",
    "                                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now write the code to run the above function on each neighborhood and create 2 new dataframse called *kadikoy_venues_df* and *besiktas_venues_df*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bostanci mah\n",
      "Caddebostan mah\n",
      "Caferaga mah\n",
      "Egi̇ti̇m mah\n",
      "Hasanpasa mah\n",
      "Erenkoy mah\n",
      "Fenerbahce mah\n",
      "Feneryolu mah\n",
      "Zuhtupasa mah\n",
      "Dumlupinar mah\n",
      "Fi̇ki̇rtepe mah\n",
      "Goztepe mah\n",
      "Acibadem mah\n",
      "Kosuyolu mah\n",
      "Kozyatagi mah\n",
      "Merdi̇venkoy mah\n",
      "19 mayis mah\n",
      "Osmanaga mah\n",
      "Rasi̇mpasa mah\n",
      "Sahrayicedi̇t mah\n",
      "Suadi̇ye mah\n"
     ]
    }
   ],
   "source": [
    "#Get all kadikoy gym/studio venues\n",
    "kadikoy_venues_df = getNearbyVenues(names=kadikoy_df['Borough'],\n",
    "                                   latitudes=kadikoy_df['lat'],\n",
    "                                   longitudes=kadikoy_df['lng']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Abbasaga mah\n",
      "Ci̇hannuma mah\n",
      "Si̇nanpasa mah\n",
      "Akat mah\n",
      "Arnavutkoy mah\n",
      "Kurucesme mah\n",
      "Bebek mah\n",
      "Eti̇ler mah\n",
      "Balmumcu mah\n",
      "Di̇ki̇li̇tas mah\n",
      "Gayrettepe mah\n",
      "Yildiz mah\n",
      "Kultur mah\n",
      "Levazim mah\n",
      "Ni̇sbeti̇ye mah\n",
      "Ulus mah\n",
      "Konaklar mah\n",
      "Levent mah\n",
      "Meci̇di̇ye mah\n",
      "Ortakoy mah\n",
      "Muradi̇ye mah\n",
      "Turkali̇ mah\n",
      "Vi̇snezade mah\n"
     ]
    }
   ],
   "source": [
    "#Get all besiktas gym/studio venues\n",
    "besiktas_venues_df = getNearbyVenues(names=besiktas_df['Borough'],\n",
    "                                   latitudes=besiktas_df['lat'],\n",
    "                                   longitudes=besiktas_df['lng']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's check the size of the resulting dataframes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "758 venues are returned from API call\n",
      "658 venues are returned from API call\n",
      "504 unique venues are returned from API call\n",
      "572 unique venues are returned from API call\n"
     ]
    }
   ],
   "source": [
    "print('{} venues are returned from API call'.format(len(besiktas_venues_df.index)))\n",
    "print('{} venues are returned from API call'.format(len(kadikoy_venues_df.index)))\n",
    "print('{} unique venues are returned from API call'.format(len(besiktas_venues_df['Venue ID'].unique())))\n",
    "print('{} unique venues are returned from API call'.format(len(kadikoy_venues_df['Venue ID'].unique())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### As it can be seen above, there are duplicate venues for different neighborhoods \n",
    "\n",
    "With the following preprocessing, the duplicate venues will be dropped according to venue distance to the borough center. Only the closest one will be kept."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "besiktas_venues_df=besiktas_venues_df.loc[besiktas_venues_df.groupby('Venue ID')['Venue Distance'].idxmin()]\n",
    "kadikoy_venues_df=kadikoy_venues_df.loc[kadikoy_venues_df.groupby('Venue ID')['Venue Distance'].idxmin()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "504 venues listed in the besiktas_venues_df after the process\n",
      "572 venues listed in the kadikoy_venues_df after the process\n"
     ]
    }
   ],
   "source": [
    "print('{} venues listed in the besiktas_venues_df after the process'.format(len(besiktas_venues_df.index)))\n",
    "print('{} venues listed in the kadikoy_venues_df after the process'.format(len(kadikoy_venues_df.index)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Perfect, this matches with the unique venue check above"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's check the category accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Basketball Court' 'Gym' 'Gym / Fitness Center' 'Hotel' 'Track'\n",
      " 'Sports Club' 'Yoga Studio' 'Daycare' 'Martial Arts Dojo' 'Gym Pool'\n",
      " 'General Entertainment' 'College Gym' 'Mobile Phone Shop'\n",
      " 'Athletics & Sports' 'Animal Shelter' 'Track Stadium' \"Doctor's Office\"\n",
      " 'Pilates Studio' 'Gymnastics Gym' 'Cycle Studio' 'Housing Development'\n",
      " 'Boxing Gym' 'Sporting Goods Shop' 'Social Club' 'Outdoor Gym'\n",
      " 'Concert Hall' 'Restaurant' 'Weight Loss Center']\n",
      "['Gym' 'Gym / Fitness Center' 'Gym Pool' 'Spa' 'Yoga Studio' 'Pool'\n",
      " 'Martial Arts Dojo' 'Shopping Mall' 'Track' 'Climbing Gym' 'Building'\n",
      " 'Athletics & Sports' 'Gymnastics Gym' 'Cycle Studio' 'Boxing Gym'\n",
      " 'Pilates Studio' 'Social Club' 'Miscellaneous Shop' 'Weight Loss Center'\n",
      " 'Event Service']\n"
     ]
    }
   ],
   "source": [
    "print(kadikoy_venues_df['Venue Category'].unique())\n",
    "print(besiktas_venues_df['Venue Category'].unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Unfortunately, we do have unwanted categories\n",
    "\n",
    "[According to the documentation of Foursquare](https://developer.foursquare.com/docs/build-with-foursquare/categories/), the category ID for **Gym / Fitness Center** is  _4bf58dd8d48988d175941735_ and it should return \n",
    "\n",
    "- Gym / Fitness Center\n",
    "- Boxing Gym\n",
    "- Climbing Gym\n",
    "- Cycle Studio\n",
    "- Gym Pool\n",
    "- Gymnastics Gym\n",
    "- Gym\n",
    "- Martial Arts Dojo\n",
    "- Outdoor Gym\n",
    "- Pilates Studio\n",
    "- Track\n",
    "- Weight Loss Center\n",
    "- Yoga Studio\n",
    "\n",
    "We will remove the redundant categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Gym' 'Gym / Fitness Center' 'Track' 'Yoga Studio' 'Martial Arts Dojo'\n",
      " 'Gym Pool' 'Pilates Studio' 'Gymnastics Gym' 'Cycle Studio' 'Boxing Gym'\n",
      " 'Outdoor Gym' 'Weight Loss Center']\n",
      "['Gym' 'Gym / Fitness Center' 'Gym Pool' 'Yoga Studio' 'Martial Arts Dojo'\n",
      " 'Track' 'Climbing Gym' 'Gymnastics Gym' 'Cycle Studio' 'Boxing Gym'\n",
      " 'Pilates Studio' 'Weight Loss Center']\n"
     ]
    }
   ],
   "source": [
    "Category_list=['Gym / Fitness Center','Boxing Gym','Climbing Gym','Cycle Studio','Gym Pool','Gymnastics Gym','Gym','Martial Arts Dojo','Outdoor Gym','Pilates Studio','Track','Weight Loss Center','Yoga Studio']\n",
    "kadikoy_venues_df=kadikoy_venues_df[kadikoy_venues_df['Venue Category'].isin(Category_list)]\n",
    "besiktas_venues_df=besiktas_venues_df[besiktas_venues_df['Venue Category'].isin(Category_list)]\n",
    "print(kadikoy_venues_df['Venue Category'].unique())\n",
    "print(besiktas_venues_df['Venue Category'].unique())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's check how many venues were returned for each neighborhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>Venue</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Abbasaga mah</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Akat mah</th>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arnavutkoy mah</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Balmumcu mah</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bebek mah</th>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ci̇hannuma mah</th>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Di̇ki̇li̇tas mah</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eti̇ler mah</th>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gayrettepe mah</th>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Konaklar mah</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kultur mah</th>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kurucesme mah</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Levazim mah</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Levent mah</th>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Meci̇di̇ye mah</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Muradi̇ye mah</th>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ni̇sbeti̇ye mah</th>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ortakoy mah</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Si̇nanpasa mah</th>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Turkali̇ mah</th>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ulus mah</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vi̇snezade mah</th>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yildiz mah</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Venue\n",
       "Neighborhood           \n",
       "Abbasaga mah          4\n",
       "Akat mah             28\n",
       "Arnavutkoy mah        5\n",
       "Balmumcu mah         16\n",
       "Bebek mah            25\n",
       "Ci̇hannuma mah       17\n",
       "Di̇ki̇li̇tas mah     42\n",
       "Eti̇ler mah          24\n",
       "Gayrettepe mah       43\n",
       "Konaklar mah         10\n",
       "Kultur mah           33\n",
       "Kurucesme mah        14\n",
       "Levazim mah          14\n",
       "Levent mah           34\n",
       "Meci̇di̇ye mah       16\n",
       "Muradi̇ye mah        35\n",
       "Ni̇sbeti̇ye mah      39\n",
       "Ortakoy mah           8\n",
       "Si̇nanpasa mah       20\n",
       "Turkali̇ mah         21\n",
       "Ulus mah             16\n",
       "Vi̇snezade mah       18\n",
       "Yildiz mah           10"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "besiktas_venues_df.groupby('Neighborhood').count().loc[:,['Venue']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>Venue</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19 mayis mah</th>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Acibadem mah</th>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bostanci mah</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caddebostan mah</th>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caferaga mah</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dumlupinar mah</th>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Egi̇ti̇m mah</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Erenkoy mah</th>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fenerbahce mah</th>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Feneryolu mah</th>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fi̇ki̇rtepe mah</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Goztepe mah</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hasanpasa mah</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kosuyolu mah</th>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kozyatagi mah</th>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Merdi̇venkoy mah</th>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Osmanaga mah</th>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rasi̇mpasa mah</th>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sahrayicedi̇t mah</th>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Suadi̇ye mah</th>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zuhtupasa mah</th>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Venue\n",
       "Neighborhood            \n",
       "19 mayis mah          36\n",
       "Acibadem mah          20\n",
       "Bostanci mah          30\n",
       "Caddebostan mah       47\n",
       "Caferaga mah          42\n",
       "Dumlupinar mah        21\n",
       "Egi̇ti̇m mah           7\n",
       "Erenkoy mah           27\n",
       "Fenerbahce mah        31\n",
       "Feneryolu mah         24\n",
       "Fi̇ki̇rtepe mah        1\n",
       "Goztepe mah           15\n",
       "Hasanpasa mah         16\n",
       "Kosuyolu mah          38\n",
       "Kozyatagi mah         28\n",
       "Merdi̇venkoy mah      18\n",
       "Osmanaga mah          30\n",
       "Rasi̇mpasa mah        26\n",
       "Sahrayicedi̇t mah     18\n",
       "Suadi̇ye mah          44\n",
       "Zuhtupasa mah         34"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kadikoy_venues_df.groupby('Neighborhood').count().loc[:,['Venue']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's store the information and use it from CSV from now on\n",
    "\n",
    "- besiktas_venues_df will be stored as *\"besiktas_venues_df.csv\"*\n",
    "- kadikoy_venues_df will be stored as *\"kadikoy_venues_df.csv\"*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "besiktas_venues_df.to_csv(\"besiktas_venues_df.csv\")\n",
    "kadikoy_venues_df.to_csv(\"kadikoy_venues_df.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# to read the csv again\n",
    "# besiktas_venues_df= pd.read_csv(\"besiktas_venues_df.csv\")\n",
    "# kadikoy_venues_df= pd.read_csv(\"kadikoy_venues_df.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now it is time to get details for each venue\n",
    "\n",
    "We need to define a function to run the API for each venue and get the details."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "492 venues exist in Besiktas\n",
      "553 venues exist in Kadıkoy\n"
     ]
    }
   ],
   "source": [
    "print('{} venues exist in Besiktas'.format(len(besiktas_venues_df.index)))\n",
    "print('{} venues exist in Kadıkoy'.format(len(kadikoy_venues_df.index)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a Premium call, which is limited to 500 per day, therefore we will split the data collection into three days as there are *1045 Unique Venues* listed.\n",
    "\n",
    "The function below needs to be run as long as the venue details are done. The results will be recorded to CSVs merged afterwards."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getVenueDetails(venueId,start_index=0):\n",
    "    \n",
    "    venue_details=[]\n",
    "    #needed for tracking purposes\n",
    "    iter_number=start_index\n",
    "    \n",
    "    for vid in venueId[start_index:]:\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/{}?client_id={}&client_secret={}&v={}'.format(\n",
    "            vid,\n",
    "            CLIENT_ID,\n",
    "            CLIENT_SECRET,\n",
    "            VERSION\n",
    "        )\n",
    "            \n",
    "        # make the GET request\n",
    "        v = requests.get(url).json()\n",
    "        \n",
    "        # if the quote is reached return the dataframe and give the information\n",
    "        if (v['meta']['code'] != 200):\n",
    "            print('error occured on index {}. Use this number as start index for next batch'.format(iter_number))\n",
    "            print(v['meta']['errorDetail']) if 'errorDetail' in v['meta'] else print('no error details')\n",
    "            print('{} number of venues returned. The start index is {}'.format(start_index,iter_number))\n",
    "            return(venue_details_df)\n",
    "        \n",
    "        # retur venue details\n",
    "        venue_details.append([(\n",
    "            vid, \n",
    "            v['response']['venue']['stats']['checkinsCount'] if ('checkinsCount' in v['response']['venue']['stats'] and 'stats' in v['response']['venue']) else 0,\n",
    "            v['response']['venue']['stats']['usersCount'] if 'usersCount' in v['response']['venue']['stats'] and 'stats' in v['response']['venue'] else 0, #total users checked in\n",
    "            v['response']['venue']['url'] if 'url' in v['response']['venue'] else \"\",\n",
    "            v['response']['venue']['contact']['twitter'] if 'twitter' in v['response']['venue']['contact'] else \"\",\n",
    "            v['response']['venue']['contact']['instagram'] if 'url' in v['response']['venue']['contact'] else \"\",\n",
    "            v['response']['venue']['contact']['phone'] if 'phone' in v['response']['venue']['contact'] else \"\",\n",
    "            v['response']['venue']['contact']['formattedPhone'] if 'formattedPhone' in v['response']['venue']['contact'] else \"\",\n",
    "            v['response']['venue']['rating'] if 'rating' in v['response']['venue'] else 0,\n",
    "            v['response']['venue']['description']if 'description' in v['response']['venue'] else \"\",\n",
    "            v['response']['venue']['createdAt'],\n",
    "            v['response']['venue']['tips']['count'] if 'count' in v['response']['venue']['tips'] and 'tips' in v['response']['venue'] else 0,\n",
    "            v['response']['venue']['likes']['count'] if 'count' in v['response']['venue']['likes'] and 'likes' in v['response']['venue'] else 0)])\n",
    "\n",
    "        venue_details_df = pd.DataFrame([item for venue_details in venue_details for item in venue_details])\n",
    "        venue_details_df.columns = ['Venue Id',\n",
    "                                 'Venue Checkins Count',\n",
    "                                 'Venue Checkin User Count',\n",
    "                                 'Venue Url',\n",
    "                                 'Venue Twitter',\n",
    "                                 'Venue Instagram',\n",
    "                                 'Venue Phone',\n",
    "                                 'Venue Formatted Phone',\n",
    "                                 'Venue Rating',\n",
    "                                 'Venue Description',\n",
    "                                 'Venue Created',\n",
    "                                 'Venue Tips Count',\n",
    "                                 'Venue Likes Count'\n",
    "                                 ]\n",
    "        iter_number=iter_number+1\n",
    "    \n",
    "    print('last index {}'.format(iter_number))\n",
    "    return(venue_details_df)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "last index 553\n"
     ]
    }
   ],
   "source": [
    "kadikoy_venue_details = getVenueDetails(kadikoy_venues_df['Venue ID'],start_index=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Recording the details to temporary dbase\n",
    "\n",
    "These will be run as long as it is necessary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "besiktas_venue_details.to_csv(\"besiktas_venue_details.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "kadikoy_venue_details.to_csv(\"kadikoy_venue_details.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Merging all the Venue details into kadikoy_venues_df and besiktas_venues_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>Unnamed: 0</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue ID</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Distance</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>36</td>\n",
       "      <td>Caddebostan mah</td>\n",
       "      <td>40.967927</td>\n",
       "      <td>29.061993</td>\n",
       "      <td>4bdfd536be5120a15ec2fe70</td>\n",
       "      <td>Powerfull Atlethic Club</td>\n",
       "      <td>40.967527</td>\n",
       "      <td>29.064940</td>\n",
       "      <td>251</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>588</td>\n",
       "      <td>Rasi̇mpasa mah</td>\n",
       "      <td>40.996066</td>\n",
       "      <td>29.027081</td>\n",
       "      <td>4be31013660ec9287609cb3b</td>\n",
       "      <td>Sports</td>\n",
       "      <td>41.000300</td>\n",
       "      <td>29.031012</td>\n",
       "      <td>575</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>254</td>\n",
       "      <td>Feneryolu mah</td>\n",
       "      <td>40.981957</td>\n",
       "      <td>29.048902</td>\n",
       "      <td>4be4544d2468c928419dfe42</td>\n",
       "      <td>Eaglestar Fitness and Body Form Club</td>\n",
       "      <td>40.978751</td>\n",
       "      <td>29.047985</td>\n",
       "      <td>365</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>504</td>\n",
       "      <td>Osmanaga mah</td>\n",
       "      <td>40.991432</td>\n",
       "      <td>29.027081</td>\n",
       "      <td>4bf78371bb5176b0c3385bb2</td>\n",
       "      <td>Sports Universe</td>\n",
       "      <td>40.988533</td>\n",
       "      <td>29.024474</td>\n",
       "      <td>390</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>89</td>\n",
       "      <td>Caferaga mah</td>\n",
       "      <td>40.983720</td>\n",
       "      <td>29.025626</td>\n",
       "      <td>4c62e4dbfa7bc928cc380f27</td>\n",
       "      <td>Airport Form Center</td>\n",
       "      <td>40.985363</td>\n",
       "      <td>29.021208</td>\n",
       "      <td>413</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0     Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "0          36  Caddebostan mah              40.967927               29.061993   \n",
       "1         588   Rasi̇mpasa mah              40.996066               29.027081   \n",
       "2         254    Feneryolu mah              40.981957               29.048902   \n",
       "3         504     Osmanaga mah              40.991432               29.027081   \n",
       "4          89     Caferaga mah              40.983720               29.025626   \n",
       "\n",
       "                   Venue ID                                 Venue  \\\n",
       "0  4bdfd536be5120a15ec2fe70               Powerfull Atlethic Club   \n",
       "1  4be31013660ec9287609cb3b                                Sports   \n",
       "2  4be4544d2468c928419dfe42  Eaglestar Fitness and Body Form Club   \n",
       "3  4bf78371bb5176b0c3385bb2                       Sports Universe   \n",
       "4  4c62e4dbfa7bc928cc380f27                   Airport Form Center   \n",
       "\n",
       "   Venue Latitude  Venue Longitude  Venue Distance        Venue Category  \n",
       "0       40.967527        29.064940             251                   Gym  \n",
       "1       41.000300        29.031012             575                   Gym  \n",
       "2       40.978751        29.047985             365                   Gym  \n",
       "3       40.988533        29.024474             390                   Gym  \n",
       "4       40.985363        29.021208             413  Gym / Fitness Center  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kadikoy_venues_df.rename(columns={'Venue ID':'Venue Id'})\n",
    "kadikoy_venues_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "kadikoy_venue_details = pd.concat([pd.read_csv(\"kadikoy_venue_details_v1.csv\"),pd.read_csv(\"kadikoy_venue_details_v2.csv\"),pd.read_csv(\"kadikoy_venue_details_v3.csv\")],  ignore_index=True)\n",
    "kadikoy_venue_details.set_index('Venue Id')\n",
    "kadikoy_venues_df.rename(columns={'Venue ID':'Venue Id'},inplace=True)\n",
    "kadikoy_venues_df = pd.merge(kadikoy_venues_df, kadikoy_venue_details, on='Venue Id')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "besiktas_venue_details = pd.concat([pd.read_csv(\"besiktas_venue_details_v1.csv\"),pd.read_csv(\"besiktas_venue_details_v2.csv\")],  ignore_index=True)\n",
    "besiktas_venue_details.set_index('Venue Id')\n",
    "besiktas_venues_df.rename(columns={'Venue ID':'Venue Id'},inplace=True)\n",
    "besiktas_venues_df = pd.merge(besiktas_venues_df, besiktas_venue_details, on='Venue Id')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's check the shape and content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(492, 23)\n",
      "(553, 23)\n"
     ]
    }
   ],
   "source": [
    "print(besiktas_venues_df.shape)\n",
    "print(kadikoy_venues_df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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>Unnamed: 0_x</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue Id</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Distance</th>\n",
       "      <th>Venue Category</th>\n",
       "      <th>Unnamed: 0_y</th>\n",
       "      <th>Venue Checkins Count</th>\n",
       "      <th>Venue Checkin User Count</th>\n",
       "      <th>Venue Url</th>\n",
       "      <th>Venue Twitter</th>\n",
       "      <th>Venue Instagram</th>\n",
       "      <th>Venue Phone</th>\n",
       "      <th>Venue Formatted Phone</th>\n",
       "      <th>Venue Rating</th>\n",
       "      <th>Venue Description</th>\n",
       "      <th>Venue Created</th>\n",
       "      <th>Venue Tips Count</th>\n",
       "      <th>Venue Likes Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>64</td>\n",
       "      <td>Ci̇hannuma mah</td>\n",
       "      <td>41.047211</td>\n",
       "      <td>29.007439</td>\n",
       "      <td>4b66f145f964a52075312be3</td>\n",
       "      <td>Turkcell Plaza Fitness Center</td>\n",
       "      <td>41.048224</td>\n",
       "      <td>29.008715</td>\n",
       "      <td>155</td>\n",
       "      <td>Gym</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1265037637</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>197</td>\n",
       "      <td>Bebek mah</td>\n",
       "      <td>41.077744</td>\n",
       "      <td>29.041629</td>\n",
       "      <td>4b703459f964a520830b2de3</td>\n",
       "      <td>Mars Athletic Club</td>\n",
       "      <td>41.075919</td>\n",
       "      <td>29.038232</td>\n",
       "      <td>350</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>http://www.marsathletic.com</td>\n",
       "      <td>mars_athletic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.021226e+11</td>\n",
       "      <td>+90 212 263 86 96</td>\n",
       "      <td>8.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1265644633</td>\n",
       "      <td>52</td>\n",
       "      <td>317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>223</td>\n",
       "      <td>Eti̇ler mah</td>\n",
       "      <td>41.087042</td>\n",
       "      <td>29.037264</td>\n",
       "      <td>4b7aed0ef964a52089462fe3</td>\n",
       "      <td>Hillside City Club</td>\n",
       "      <td>41.087993</td>\n",
       "      <td>29.031091</td>\n",
       "      <td>528</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>https://www.hillside.com.tr</td>\n",
       "      <td>hillsideleisure</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.021235e+11</td>\n",
       "      <td>+90 212 352 23 33</td>\n",
       "      <td>8.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1266347278</td>\n",
       "      <td>129</td>\n",
       "      <td>1088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>200</td>\n",
       "      <td>Bebek mah</td>\n",
       "      <td>41.077744</td>\n",
       "      <td>29.041629</td>\n",
       "      <td>4ba67962f964a520265639e3</td>\n",
       "      <td>Celebrity Fitness</td>\n",
       "      <td>41.081342</td>\n",
       "      <td>29.035980</td>\n",
       "      <td>620</td>\n",
       "      <td>Gym</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1269201250</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>413</td>\n",
       "      <td>Kultur mah</td>\n",
       "      <td>41.073202</td>\n",
       "      <td>29.032900</td>\n",
       "      <td>4bc89f2192b376b0bdcb513a</td>\n",
       "      <td>Maya sports center</td>\n",
       "      <td>41.076425</td>\n",
       "      <td>29.029158</td>\n",
       "      <td>476</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1271439137</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>137</td>\n",
       "      <td>Akat mah</td>\n",
       "      <td>41.085614</td>\n",
       "      <td>29.025626</td>\n",
       "      <td>4be97d20c5220f478ee2aaca</td>\n",
       "      <td>Club Sporium</td>\n",
       "      <td>41.086891</td>\n",
       "      <td>29.024003</td>\n",
       "      <td>196</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>http://akatlar.clubsporium.com.tr</td>\n",
       "      <td>clubsporium</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.021239e+11</td>\n",
       "      <td>+90 212 385 49 10</td>\n",
       "      <td>8.4</td>\n",
       "      <td>Sporla dolu yaşam merkezi</td>\n",
       "      <td>1273593120</td>\n",
       "      <td>236</td>\n",
       "      <td>1135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>401</td>\n",
       "      <td>Kultur mah</td>\n",
       "      <td>41.073202</td>\n",
       "      <td>29.032900</td>\n",
       "      <td>4c14c74682a3c9b66bbcfdf8</td>\n",
       "      <td>Mayadrom Sports Center(MSC)</td>\n",
       "      <td>41.077281</td>\n",
       "      <td>29.032698</td>\n",
       "      <td>454</td>\n",
       "      <td>Gym</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1276430150</td>\n",
       "      <td>24</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>739</td>\n",
       "      <td>Vi̇snezade mah</td>\n",
       "      <td>41.041503</td>\n",
       "      <td>28.998708</td>\n",
       "      <td>4c37666c93db0f4737b51f92</td>\n",
       "      <td>Mars Athletic Club</td>\n",
       "      <td>41.043765</td>\n",
       "      <td>28.992381</td>\n",
       "      <td>587</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>http://www.marsathletic.com</td>\n",
       "      <td>mars_athletic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.021223e+11</td>\n",
       "      <td>+90 212 232 44 40</td>\n",
       "      <td>8.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1278699116</td>\n",
       "      <td>151</td>\n",
       "      <td>786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>628</td>\n",
       "      <td>Muradi̇ye mah</td>\n",
       "      <td>41.048450</td>\n",
       "      <td>28.998708</td>\n",
       "      <td>4c4ae6c79c8d2d7fe10e316a</td>\n",
       "      <td>İTÜ Havuz</td>\n",
       "      <td>41.046354</td>\n",
       "      <td>28.995922</td>\n",
       "      <td>330</td>\n",
       "      <td>Gym Pool</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>http://www.itu.edu.tr</td>\n",
       "      <td>itu1773</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1279977159</td>\n",
       "      <td>6</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>48</td>\n",
       "      <td>Ci̇hannuma mah</td>\n",
       "      <td>41.047211</td>\n",
       "      <td>29.007439</td>\n",
       "      <td>4c51ab6b1c67ef3be50f1bb9</td>\n",
       "      <td>The Alaaddin Club</td>\n",
       "      <td>41.047260</td>\n",
       "      <td>29.007811</td>\n",
       "      <td>31</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.021233e+11</td>\n",
       "      <td>+90 212 327 63 93</td>\n",
       "      <td>7.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1280420715</td>\n",
       "      <td>6</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>161</td>\n",
       "      <td>Akat mah</td>\n",
       "      <td>41.085614</td>\n",
       "      <td>29.025626</td>\n",
       "      <td>4c585cd0d12a20a1a2d768bd</td>\n",
       "      <td>Şişli Terakki Spor Salonu</td>\n",
       "      <td>41.081946</td>\n",
       "      <td>29.024032</td>\n",
       "      <td>429</td>\n",
       "      <td>Gym</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1280859344</td>\n",
       "      <td>6</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>352</td>\n",
       "      <td>Gayrettepe mah</td>\n",
       "      <td>41.064196</td>\n",
       "      <td>29.006711</td>\n",
       "      <td>4c6667d6e75ac9280676f7da</td>\n",
       "      <td>Essporto Health &amp; Fitness Club</td>\n",
       "      <td>41.065585</td>\n",
       "      <td>29.010558</td>\n",
       "      <td>357</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>http://www.essporto.com</td>\n",
       "      <td>essporto</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.021234e+11</td>\n",
       "      <td>+90 212 344 06 66</td>\n",
       "      <td>6.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1281779670</td>\n",
       "      <td>344</td>\n",
       "      <td>941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>434</td>\n",
       "      <td>Levazim mah</td>\n",
       "      <td>41.063314</td>\n",
       "      <td>29.018351</td>\n",
       "      <td>4c6fc3e79c6d6dcba464d07a</td>\n",
       "      <td>Korukent Gym</td>\n",
       "      <td>41.060259</td>\n",
       "      <td>29.020800</td>\n",
       "      <td>397</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1282393063</td>\n",
       "      <td>23</td>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>719</td>\n",
       "      <td>Vi̇snezade mah</td>\n",
       "      <td>41.041503</td>\n",
       "      <td>28.998708</td>\n",
       "      <td>4c96571203413704ac9483ef</td>\n",
       "      <td>Swiss Otel Gym</td>\n",
       "      <td>41.040821</td>\n",
       "      <td>28.997064</td>\n",
       "      <td>157</td>\n",
       "      <td>Gym</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1284921106</td>\n",
       "      <td>7</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>659</td>\n",
       "      <td>Muradi̇ye mah</td>\n",
       "      <td>41.048450</td>\n",
       "      <td>28.998708</td>\n",
       "      <td>4c990c719c663704c5bf4cfd</td>\n",
       "      <td>Action gym</td>\n",
       "      <td>41.052083</td>\n",
       "      <td>28.995858</td>\n",
       "      <td>469</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1285098609</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0_x    Neighborhood  Neighborhood Latitude  \\\n",
       "0             64  Ci̇hannuma mah              41.047211   \n",
       "1            197       Bebek mah              41.077744   \n",
       "2            223     Eti̇ler mah              41.087042   \n",
       "3            200       Bebek mah              41.077744   \n",
       "4            413      Kultur mah              41.073202   \n",
       "5            137        Akat mah              41.085614   \n",
       "6            401      Kultur mah              41.073202   \n",
       "7            739  Vi̇snezade mah              41.041503   \n",
       "8            628   Muradi̇ye mah              41.048450   \n",
       "9             48  Ci̇hannuma mah              41.047211   \n",
       "10           161        Akat mah              41.085614   \n",
       "11           352  Gayrettepe mah              41.064196   \n",
       "12           434     Levazim mah              41.063314   \n",
       "13           719  Vi̇snezade mah              41.041503   \n",
       "14           659   Muradi̇ye mah              41.048450   \n",
       "\n",
       "    Neighborhood Longitude                  Venue Id  \\\n",
       "0                29.007439  4b66f145f964a52075312be3   \n",
       "1                29.041629  4b703459f964a520830b2de3   \n",
       "2                29.037264  4b7aed0ef964a52089462fe3   \n",
       "3                29.041629  4ba67962f964a520265639e3   \n",
       "4                29.032900  4bc89f2192b376b0bdcb513a   \n",
       "5                29.025626  4be97d20c5220f478ee2aaca   \n",
       "6                29.032900  4c14c74682a3c9b66bbcfdf8   \n",
       "7                28.998708  4c37666c93db0f4737b51f92   \n",
       "8                28.998708  4c4ae6c79c8d2d7fe10e316a   \n",
       "9                29.007439  4c51ab6b1c67ef3be50f1bb9   \n",
       "10               29.025626  4c585cd0d12a20a1a2d768bd   \n",
       "11               29.006711  4c6667d6e75ac9280676f7da   \n",
       "12               29.018351  4c6fc3e79c6d6dcba464d07a   \n",
       "13               28.998708  4c96571203413704ac9483ef   \n",
       "14               28.998708  4c990c719c663704c5bf4cfd   \n",
       "\n",
       "                             Venue  Venue Latitude  Venue Longitude  \\\n",
       "0    Turkcell Plaza Fitness Center       41.048224        29.008715   \n",
       "1               Mars Athletic Club       41.075919        29.038232   \n",
       "2               Hillside City Club       41.087993        29.031091   \n",
       "3                Celebrity Fitness       41.081342        29.035980   \n",
       "4               Maya sports center       41.076425        29.029158   \n",
       "5                     Club Sporium       41.086891        29.024003   \n",
       "6      Mayadrom Sports Center(MSC)       41.077281        29.032698   \n",
       "7               Mars Athletic Club       41.043765        28.992381   \n",
       "8                        İTÜ Havuz       41.046354        28.995922   \n",
       "9                The Alaaddin Club       41.047260        29.007811   \n",
       "10       Şişli Terakki Spor Salonu       41.081946        29.024032   \n",
       "11  Essporto Health & Fitness Club       41.065585        29.010558   \n",
       "12                    Korukent Gym       41.060259        29.020800   \n",
       "13                  Swiss Otel Gym       41.040821        28.997064   \n",
       "14                      Action gym       41.052083        28.995858   \n",
       "\n",
       "    Venue Distance        Venue Category  Unnamed: 0_y  Venue Checkins Count  \\\n",
       "0              155                   Gym             0                     0   \n",
       "1              350  Gym / Fitness Center             1                     0   \n",
       "2              528  Gym / Fitness Center             2                     0   \n",
       "3              620                   Gym             3                     0   \n",
       "4              476  Gym / Fitness Center             4                     0   \n",
       "5              196  Gym / Fitness Center             5                     0   \n",
       "6              454                   Gym             6                     0   \n",
       "7              587  Gym / Fitness Center             7                     0   \n",
       "8              330              Gym Pool             8                     0   \n",
       "9               31  Gym / Fitness Center             9                     0   \n",
       "10             429                   Gym            10                     0   \n",
       "11             357  Gym / Fitness Center            11                     0   \n",
       "12             397  Gym / Fitness Center            12                     0   \n",
       "13             157                   Gym            13                     0   \n",
       "14             469  Gym / Fitness Center            14                     0   \n",
       "\n",
       "    Venue Checkin User Count                          Venue Url  \\\n",
       "0                          0                                NaN   \n",
       "1                          0        http://www.marsathletic.com   \n",
       "2                          0        https://www.hillside.com.tr   \n",
       "3                          0                                NaN   \n",
       "4                          0                                NaN   \n",
       "5                          0  http://akatlar.clubsporium.com.tr   \n",
       "6                          0                                NaN   \n",
       "7                          0        http://www.marsathletic.com   \n",
       "8                          0              http://www.itu.edu.tr   \n",
       "9                          0                                NaN   \n",
       "10                         0                                NaN   \n",
       "11                         0            http://www.essporto.com   \n",
       "12                         0                                NaN   \n",
       "13                         0                                NaN   \n",
       "14                         0                                NaN   \n",
       "\n",
       "      Venue Twitter  Venue Instagram   Venue Phone Venue Formatted Phone  \\\n",
       "0               NaN              NaN           NaN                   NaN   \n",
       "1     mars_athletic              NaN  9.021226e+11     +90 212 263 86 96   \n",
       "2   hillsideleisure              NaN  9.021235e+11     +90 212 352 23 33   \n",
       "3               NaN              NaN           NaN                   NaN   \n",
       "4               NaN              NaN           NaN                   NaN   \n",
       "5       clubsporium              NaN  9.021239e+11     +90 212 385 49 10   \n",
       "6               NaN              NaN           NaN                   NaN   \n",
       "7     mars_athletic              NaN  9.021223e+11     +90 212 232 44 40   \n",
       "8           itu1773              NaN           NaN                   NaN   \n",
       "9               NaN              NaN  9.021233e+11     +90 212 327 63 93   \n",
       "10              NaN              NaN           NaN                   NaN   \n",
       "11         essporto              NaN  9.021234e+11     +90 212 344 06 66   \n",
       "12              NaN              NaN           NaN                   NaN   \n",
       "13              NaN              NaN           NaN                   NaN   \n",
       "14              NaN              NaN           NaN                   NaN   \n",
       "\n",
       "    Venue Rating          Venue Description  Venue Created  Venue Tips Count  \\\n",
       "0            0.0                        NaN     1265037637                 0   \n",
       "1            8.8                        NaN     1265644633                52   \n",
       "2            8.9                        NaN     1266347278               129   \n",
       "3            0.0                        NaN     1269201250                 0   \n",
       "4            0.0                        NaN     1271439137                 1   \n",
       "5            8.4  Sporla dolu yaşam merkezi     1273593120               236   \n",
       "6            6.3                        NaN     1276430150                24   \n",
       "7            8.6                        NaN     1278699116               151   \n",
       "8            7.9                        NaN     1279977159                 6   \n",
       "9            7.3                        NaN     1280420715                 6   \n",
       "10           7.1                        NaN     1280859344                 6   \n",
       "11           6.8                        NaN     1281779670               344   \n",
       "12           7.5                        NaN     1282393063                23   \n",
       "13           7.5                        NaN     1284921106                 7   \n",
       "14           0.0                        NaN     1285098609                 1   \n",
       "\n",
       "    Venue Likes Count  \n",
       "0                   0  \n",
       "1                 317  \n",
       "2                1088  \n",
       "3                   0  \n",
       "4                   0  \n",
       "5                1135  \n",
       "6                  12  \n",
       "7                 786  \n",
       "8                  37  \n",
       "9                  44  \n",
       "10                 57  \n",
       "11                941  \n",
       "12                103  \n",
       "13                 35  \n",
       "14                  1  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "besiktas_venues_df.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "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>Unnamed: 0_x</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue Id</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Distance</th>\n",
       "      <th>Venue Category</th>\n",
       "      <th>Unnamed: 0_y</th>\n",
       "      <th>Venue Checkins Count</th>\n",
       "      <th>Venue Checkin User Count</th>\n",
       "      <th>Venue Url</th>\n",
       "      <th>Venue Twitter</th>\n",
       "      <th>Venue Instagram</th>\n",
       "      <th>Venue Phone</th>\n",
       "      <th>Venue Formatted Phone</th>\n",
       "      <th>Venue Rating</th>\n",
       "      <th>Venue Description</th>\n",
       "      <th>Venue Created</th>\n",
       "      <th>Venue Tips Count</th>\n",
       "      <th>Venue Likes Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>36</td>\n",
       "      <td>Caddebostan mah</td>\n",
       "      <td>40.967927</td>\n",
       "      <td>29.061993</td>\n",
       "      <td>4bdfd536be5120a15ec2fe70</td>\n",
       "      <td>Powerfull Atlethic Club</td>\n",
       "      <td>40.967527</td>\n",
       "      <td>29.064940</td>\n",
       "      <td>251</td>\n",
       "      <td>Gym</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>http://caddebostan.powerfullclub.com</td>\n",
       "      <td>powerfullclub</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.021636e+11</td>\n",
       "      <td>+90 216 356 71 71</td>\n",
       "      <td>7.8</td>\n",
       "      <td>Caddebostan Kültür Merkezi’nde hizmet veren te...</td>\n",
       "      <td>1272960310</td>\n",
       "      <td>52</td>\n",
       "      <td>209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>588</td>\n",
       "      <td>Rasi̇mpasa mah</td>\n",
       "      <td>40.996066</td>\n",
       "      <td>29.027081</td>\n",
       "      <td>4be31013660ec9287609cb3b</td>\n",
       "      <td>Sports</td>\n",
       "      <td>41.000300</td>\n",
       "      <td>29.031012</td>\n",
       "      <td>575</td>\n",
       "      <td>Gym</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1273171987</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>254</td>\n",
       "      <td>Feneryolu mah</td>\n",
       "      <td>40.981957</td>\n",
       "      <td>29.048902</td>\n",
       "      <td>4be4544d2468c928419dfe42</td>\n",
       "      <td>Eaglestar Fitness and Body Form Club</td>\n",
       "      <td>40.978751</td>\n",
       "      <td>29.047985</td>\n",
       "      <td>365</td>\n",
       "      <td>Gym</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1273254989</td>\n",
       "      <td>11</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>504</td>\n",
       "      <td>Osmanaga mah</td>\n",
       "      <td>40.991432</td>\n",
       "      <td>29.027081</td>\n",
       "      <td>4bf78371bb5176b0c3385bb2</td>\n",
       "      <td>Sports Universe</td>\n",
       "      <td>40.988533</td>\n",
       "      <td>29.024474</td>\n",
       "      <td>390</td>\n",
       "      <td>Gym</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1274512241</td>\n",
       "      <td>62</td>\n",
       "      <td>264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>89</td>\n",
       "      <td>Caferaga mah</td>\n",
       "      <td>40.983720</td>\n",
       "      <td>29.025626</td>\n",
       "      <td>4c62e4dbfa7bc928cc380f27</td>\n",
       "      <td>Airport Form Center</td>\n",
       "      <td>40.985363</td>\n",
       "      <td>29.021208</td>\n",
       "      <td>413</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>http://www.airportmoda.com</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.021635e+11</td>\n",
       "      <td>+90 216 345 58 46</td>\n",
       "      <td>8.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1281549531</td>\n",
       "      <td>22</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>67</td>\n",
       "      <td>Caddebostan mah</td>\n",
       "      <td>40.967927</td>\n",
       "      <td>29.061993</td>\n",
       "      <td>4caf3964562d224b092c0c88</td>\n",
       "      <td>Sports Time</td>\n",
       "      <td>40.964574</td>\n",
       "      <td>29.065999</td>\n",
       "      <td>502</td>\n",
       "      <td>Gym</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1286551908</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>462</td>\n",
       "      <td>19 mayis mah</td>\n",
       "      <td>40.974626</td>\n",
       "      <td>29.088173</td>\n",
       "      <td>4cc444b382388cfae5b46d35</td>\n",
       "      <td>Gengym Health &amp; Fitness</td>\n",
       "      <td>40.974221</td>\n",
       "      <td>29.090556</td>\n",
       "      <td>205</td>\n",
       "      <td>Gym</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>http://www.gengym.com</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.021645e+11</td>\n",
       "      <td>+90 216 445 19 00</td>\n",
       "      <td>8.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1287931059</td>\n",
       "      <td>21</td>\n",
       "      <td>147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>407</td>\n",
       "      <td>Kozyatagi mah</td>\n",
       "      <td>40.969147</td>\n",
       "      <td>29.095444</td>\n",
       "      <td>4cd7fdd2a99d370447c402ce</td>\n",
       "      <td>Max Gym Fitness Studio</td>\n",
       "      <td>40.971370</td>\n",
       "      <td>29.094729</td>\n",
       "      <td>254</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1289223634</td>\n",
       "      <td>27</td>\n",
       "      <td>149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>215</td>\n",
       "      <td>Fenerbahce mah</td>\n",
       "      <td>40.974286</td>\n",
       "      <td>29.043083</td>\n",
       "      <td>4cdad42f6ad1a0931883e856</td>\n",
       "      <td>Anantara Spa</td>\n",
       "      <td>40.972723</td>\n",
       "      <td>29.043529</td>\n",
       "      <td>178</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1289409583</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>369</td>\n",
       "      <td>Kosuyolu mah</td>\n",
       "      <td>41.009087</td>\n",
       "      <td>29.038719</td>\n",
       "      <td>4ceeaeff13aea14357206f9f</td>\n",
       "      <td>Fashion Sports Club</td>\n",
       "      <td>41.010069</td>\n",
       "      <td>29.042069</td>\n",
       "      <td>301</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>http://www.fashionsports.com.tr</td>\n",
       "      <td>sportsfashionn</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.021634e+11</td>\n",
       "      <td>+90 216 340 71 71</td>\n",
       "      <td>8.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1290710783</td>\n",
       "      <td>151</td>\n",
       "      <td>617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>648</td>\n",
       "      <td>Suadi̇ye mah</td>\n",
       "      <td>40.963081</td>\n",
       "      <td>29.083810</td>\n",
       "      <td>4cfbbfacdccef04dd5d2bc9c</td>\n",
       "      <td>Büyükhanli GYM</td>\n",
       "      <td>40.959488</td>\n",
       "      <td>29.085418</td>\n",
       "      <td>422</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1291567020</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>642</td>\n",
       "      <td>Suadi̇ye mah</td>\n",
       "      <td>40.963081</td>\n",
       "      <td>29.083810</td>\n",
       "      <td>4d09086c43b36ea8260e30ef</td>\n",
       "      <td>Miltaş Spor Külübü</td>\n",
       "      <td>40.959466</td>\n",
       "      <td>29.087121</td>\n",
       "      <td>489</td>\n",
       "      <td>Gym</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1292437612</td>\n",
       "      <td>13</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>232</td>\n",
       "      <td>Feneryolu mah</td>\n",
       "      <td>40.981957</td>\n",
       "      <td>29.048902</td>\n",
       "      <td>4d0c8f483bbaa14369d336da</td>\n",
       "      <td>Power Fitness Center</td>\n",
       "      <td>40.978389</td>\n",
       "      <td>29.051757</td>\n",
       "      <td>464</td>\n",
       "      <td>Gym</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1292668744</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>245</td>\n",
       "      <td>Feneryolu mah</td>\n",
       "      <td>40.981957</td>\n",
       "      <td>29.048902</td>\n",
       "      <td>4d0f90e3d467236a82ddbe4a</td>\n",
       "      <td>Kempinski Spa Cadde</td>\n",
       "      <td>40.982818</td>\n",
       "      <td>29.045389</td>\n",
       "      <td>310</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1292865763</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>3</td>\n",
       "      <td>Bostanci mah</td>\n",
       "      <td>40.958317</td>\n",
       "      <td>29.096898</td>\n",
       "      <td>4d12179db64da090e96634e7</td>\n",
       "      <td>Champion Gym Health &amp; Fitness Club</td>\n",
       "      <td>40.959768</td>\n",
       "      <td>29.092140</td>\n",
       "      <td>431</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>http://www.championgym.net</td>\n",
       "      <td>champion_gym</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.021645e+11</td>\n",
       "      <td>+90 216 445 45 43</td>\n",
       "      <td>7.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1293031325</td>\n",
       "      <td>36</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Unnamed: 0_x     Neighborhood  Neighborhood Latitude  \\\n",
       "0             36  Caddebostan mah              40.967927   \n",
       "1            588   Rasi̇mpasa mah              40.996066   \n",
       "2            254    Feneryolu mah              40.981957   \n",
       "3            504     Osmanaga mah              40.991432   \n",
       "4             89     Caferaga mah              40.983720   \n",
       "5             67  Caddebostan mah              40.967927   \n",
       "6            462     19 mayis mah              40.974626   \n",
       "7            407    Kozyatagi mah              40.969147   \n",
       "8            215   Fenerbahce mah              40.974286   \n",
       "9            369     Kosuyolu mah              41.009087   \n",
       "10           648     Suadi̇ye mah              40.963081   \n",
       "11           642     Suadi̇ye mah              40.963081   \n",
       "12           232    Feneryolu mah              40.981957   \n",
       "13           245    Feneryolu mah              40.981957   \n",
       "14             3     Bostanci mah              40.958317   \n",
       "\n",
       "    Neighborhood Longitude                  Venue Id  \\\n",
       "0                29.061993  4bdfd536be5120a15ec2fe70   \n",
       "1                29.027081  4be31013660ec9287609cb3b   \n",
       "2                29.048902  4be4544d2468c928419dfe42   \n",
       "3                29.027081  4bf78371bb5176b0c3385bb2   \n",
       "4                29.025626  4c62e4dbfa7bc928cc380f27   \n",
       "5                29.061993  4caf3964562d224b092c0c88   \n",
       "6                29.088173  4cc444b382388cfae5b46d35   \n",
       "7                29.095444  4cd7fdd2a99d370447c402ce   \n",
       "8                29.043083  4cdad42f6ad1a0931883e856   \n",
       "9                29.038719  4ceeaeff13aea14357206f9f   \n",
       "10               29.083810  4cfbbfacdccef04dd5d2bc9c   \n",
       "11               29.083810  4d09086c43b36ea8260e30ef   \n",
       "12               29.048902  4d0c8f483bbaa14369d336da   \n",
       "13               29.048902  4d0f90e3d467236a82ddbe4a   \n",
       "14               29.096898  4d12179db64da090e96634e7   \n",
       "\n",
       "                                   Venue  Venue Latitude  Venue Longitude  \\\n",
       "0                Powerfull Atlethic Club       40.967527        29.064940   \n",
       "1                                 Sports       41.000300        29.031012   \n",
       "2   Eaglestar Fitness and Body Form Club       40.978751        29.047985   \n",
       "3                        Sports Universe       40.988533        29.024474   \n",
       "4                    Airport Form Center       40.985363        29.021208   \n",
       "5                            Sports Time       40.964574        29.065999   \n",
       "6                Gengym Health & Fitness       40.974221        29.090556   \n",
       "7                 Max Gym Fitness Studio       40.971370        29.094729   \n",
       "8                           Anantara Spa       40.972723        29.043529   \n",
       "9                    Fashion Sports Club       41.010069        29.042069   \n",
       "10                        Büyükhanli GYM       40.959488        29.085418   \n",
       "11                    Miltaş Spor Külübü       40.959466        29.087121   \n",
       "12                  Power Fitness Center       40.978389        29.051757   \n",
       "13                   Kempinski Spa Cadde       40.982818        29.045389   \n",
       "14    Champion Gym Health & Fitness Club       40.959768        29.092140   \n",
       "\n",
       "    Venue Distance        Venue Category  Unnamed: 0_y  Venue Checkins Count  \\\n",
       "0              251                   Gym             0                     0   \n",
       "1              575                   Gym             1                     0   \n",
       "2              365                   Gym             2                     0   \n",
       "3              390                   Gym             3                     0   \n",
       "4              413  Gym / Fitness Center             4                     0   \n",
       "5              502                   Gym             5                     0   \n",
       "6              205                   Gym             6                     0   \n",
       "7              254  Gym / Fitness Center             7                     0   \n",
       "8              178  Gym / Fitness Center             8                     0   \n",
       "9              301  Gym / Fitness Center             9                     0   \n",
       "10             422  Gym / Fitness Center            10                     0   \n",
       "11             489                   Gym            11                     0   \n",
       "12             464                   Gym            12                     0   \n",
       "13             310  Gym / Fitness Center            13                     0   \n",
       "14             431  Gym / Fitness Center            14                     0   \n",
       "\n",
       "    Venue Checkin User Count                             Venue Url  \\\n",
       "0                          0  http://caddebostan.powerfullclub.com   \n",
       "1                          0                                   NaN   \n",
       "2                          0                                   NaN   \n",
       "3                          0                                   NaN   \n",
       "4                          0            http://www.airportmoda.com   \n",
       "5                          0                                   NaN   \n",
       "6                          0                 http://www.gengym.com   \n",
       "7                          0                                   NaN   \n",
       "8                          0                                   NaN   \n",
       "9                          0       http://www.fashionsports.com.tr   \n",
       "10                         0                                   NaN   \n",
       "11                         0                                   NaN   \n",
       "12                         0                                   NaN   \n",
       "13                         0                                   NaN   \n",
       "14                         0            http://www.championgym.net   \n",
       "\n",
       "     Venue Twitter  Venue Instagram   Venue Phone Venue Formatted Phone  \\\n",
       "0    powerfullclub              NaN  9.021636e+11     +90 216 356 71 71   \n",
       "1              NaN              NaN           NaN                   NaN   \n",
       "2              NaN              NaN           NaN                   NaN   \n",
       "3              NaN              NaN           NaN                   NaN   \n",
       "4              NaN              NaN  9.021635e+11     +90 216 345 58 46   \n",
       "5              NaN              NaN           NaN                   NaN   \n",
       "6              NaN              NaN  9.021645e+11     +90 216 445 19 00   \n",
       "7              NaN              NaN           NaN                   NaN   \n",
       "8              NaN              NaN           NaN                   NaN   \n",
       "9   sportsfashionn              NaN  9.021634e+11     +90 216 340 71 71   \n",
       "10             NaN              NaN           NaN                   NaN   \n",
       "11             NaN              NaN           NaN                   NaN   \n",
       "12             NaN              NaN           NaN                   NaN   \n",
       "13             NaN              NaN           NaN                   NaN   \n",
       "14    champion_gym              NaN  9.021645e+11     +90 216 445 45 43   \n",
       "\n",
       "    Venue Rating                                  Venue Description  \\\n",
       "0            7.8  Caddebostan Kültür Merkezi’nde hizmet veren te...   \n",
       "1            0.0                                                NaN   \n",
       "2            8.1                                                NaN   \n",
       "3            8.7                                                NaN   \n",
       "4            8.1                                                NaN   \n",
       "5            0.0                                                NaN   \n",
       "6            8.6                                                NaN   \n",
       "7            8.4                                                NaN   \n",
       "8            0.0                                                NaN   \n",
       "9            8.6                                                NaN   \n",
       "10           0.0                                                NaN   \n",
       "11           6.9                                                NaN   \n",
       "12           0.0                                                NaN   \n",
       "13           0.0                                                NaN   \n",
       "14           7.9                                                NaN   \n",
       "\n",
       "    Venue Created  Venue Tips Count  Venue Likes Count  \n",
       "0      1272960310                52                209  \n",
       "1      1273171987                 0                  0  \n",
       "2      1273254989                11                 57  \n",
       "3      1274512241                62                264  \n",
       "4      1281549531                22                 78  \n",
       "5      1286551908                 3                  3  \n",
       "6      1287931059                21                147  \n",
       "7      1289223634                27                149  \n",
       "8      1289409583                 1                  0  \n",
       "9      1290710783               151                617  \n",
       "10     1291567020                 3                  0  \n",
       "11     1292437612                13                 79  \n",
       "12     1292668744                 0                  0  \n",
       "13     1292865763                 0                  0  \n",
       "14     1293031325                36                126  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kadikoy_venues_df.head(15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's drop the unnecessary columns and set the index as *Venue Id*\n",
    "\n",
    "**Unnamed: 0_x, Venue Checkins Count, Venue Checkin User Count, Venue Phone** are redundant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "kadikoy_venues_df.drop(['Unnamed: 0_x', 'Venue Checkins Count', 'Venue Checkin User Count', 'Venue Phone'], axis=1, inplace=True)\n",
    "besiktas_venues_df.drop(['Unnamed: 0_x', 'Venue Checkins Count', 'Venue Checkin User Count', 'Venue Phone'], axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "kadikoy_venues_df.set_index('Venue Id', inplace=True)\n",
    "besiktas_venues_df.set_index('Venue Id', inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's record the last version for the data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "kadikoy_venues_df.to_csv('kadikoy_venues.csv')\n",
    "besiktas_venues_df.to_csv('besiktas_venues.csv')"
   ]
  }
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