geolocation_for_analysis/geolocations-for-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Dnipro regions locations"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get names from wiki"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "content = requests.get('https://en.wikipedia.org/wiki/Dnipro')\n",
    "parser = BeautifulSoup(content.text, 'html.parser')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "regions_td = parser.body.find_all(\"table\", class_ = \"wikitable\")[0].select('tr')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "dnipro_regions = [element.select('td')[1].text.replace('\\n', '') for element in regions_td[1:]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Amur-Nyzhnodniprovskyi',\n",
       " 'Shevchenkivskyi',\n",
       " 'Sobornyi',\n",
       " 'Industrialnyi',\n",
       " 'Tsentralnyi',\n",
       " 'Chechelivskyi',\n",
       " 'Novokodatskyi',\n",
       " 'Samarskyi']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dnipro_regions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "dnipro_regions = pd.DataFrame({'Region' : dnipro_regions})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Shevchenkivskyi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Sobornyi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Industrialnyi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Tsentralnyi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Chechelivskyi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Novokodatskyi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>Samarskyi</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Region\n",
       "0  Amur-Nyzhnodniprovskyi\n",
       "1         Shevchenkivskyi\n",
       "2                Sobornyi\n",
       "3           Industrialnyi\n",
       "4             Tsentralnyi\n",
       "5           Chechelivskyi\n",
       "6           Novokodatskyi\n",
       "7               Samarskyi"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dnipro_regions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get city-regions locations with geopy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "from geopy.geocoders import Nominatim\n",
    "from geopy.extra.rate_limiter import RateLimiter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "geolocator = Nominatim(user_agent=\"dnipro\",timeout=10)\n",
    "geocode = RateLimiter(geolocator.geocode, min_delay_seconds=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "longitudes = []\n",
    "latitudes = []\n",
    "for region in dnipro_regions['Region']:\n",
    "    location = geocode('{}, Dnipro'.format(region))\n",
    "    longitudes.append(location.longitude)\n",
    "    latitudes.append(location.latitude)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>35.041783</td>\n",
       "      <td>48.494564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Shevchenkivskyi</td>\n",
       "      <td>35.041771</td>\n",
       "      <td>48.468022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Sobornyi</td>\n",
       "      <td>35.058700</td>\n",
       "      <td>48.463425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Industrialnyi</td>\n",
       "      <td>35.078433</td>\n",
       "      <td>48.521464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Tsentralnyi</td>\n",
       "      <td>35.024010</td>\n",
       "      <td>48.459391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Chechelivskyi</td>\n",
       "      <td>34.981957</td>\n",
       "      <td>48.438557</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Novokodatskyi</td>\n",
       "      <td>34.946035</td>\n",
       "      <td>48.485689</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>Samarskyi</td>\n",
       "      <td>35.158380</td>\n",
       "      <td>48.534687</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Region  Longitude   Latitude\n",
       "0  Amur-Nyzhnodniprovskyi  35.041783  48.494564\n",
       "1         Shevchenkivskyi  35.041771  48.468022\n",
       "2                Sobornyi  35.058700  48.463425\n",
       "3           Industrialnyi  35.078433  48.521464\n",
       "4             Tsentralnyi  35.024010  48.459391\n",
       "5           Chechelivskyi  34.981957  48.438557\n",
       "6           Novokodatskyi  34.946035  48.485689\n",
       "7               Samarskyi  35.158380  48.534687"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dnipro_regions['Longitude'] = longitudes\n",
    "dnipro_regions['Latitude'] = latitudes\n",
    "dnipro_regions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Get cafes and shops details with Foursquare"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "CLIENT_ID = 'H2SID3VSTK5L101KYA3NVCRHFESPHCYIULK5CK3PGI1GGJ1D' # your Foursquare ID\n",
    "CLIENT_SECRET = 'NKCDE13L2NX5IWWD5MSCRJH0GIFL5DJWGBUVFQFIVHDXOBF5' # your Foursquare Secret\n",
    "VERSION = '20200128' # Foursquare API version"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.1. Get venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "               CLIENT_ID, CLIENT_SECRET, VERSION, lat, lng, 3000, 200)\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        venues_list.extend([\n",
    "            [name, v['venue']['name'], v['venue']['id'],\n",
    "            v['venue']['location']['lat'], v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']]\n",
    "        for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame(venues_list)\n",
    "    nearby_venues.columns = ['Region', 'Venue', 'Venue ID', 'Venue Latitude', 'Venue Longitude', 'Venue Primary Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "dnipro_venues = getNearbyVenues(names=dnipro_regions['Region'],\n",
    "                                latitudes=dnipro_regions['Latitude'],\n",
    "                                longitudes=dnipro_regions['Longitude']\n",
    "                                )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue ID</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Primary Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Набережна на ж/м \"Сонячний\"</td>\n",
       "      <td>4ead591a490170218c3e8eac</td>\n",
       "      <td>48.482077</td>\n",
       "      <td>35.064039</td>\n",
       "      <td>Waterfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Джайпур</td>\n",
       "      <td>4e75e0861495be51714f2764</td>\n",
       "      <td>48.474490</td>\n",
       "      <td>35.028832</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Dance Republic</td>\n",
       "      <td>55a7a750498e39b5deec0a05</td>\n",
       "      <td>48.477264</td>\n",
       "      <td>35.024195</td>\n",
       "      <td>Dance Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Лазерхаус</td>\n",
       "      <td>5502f0e7498e26f68f81b356</td>\n",
       "      <td>48.470317</td>\n",
       "      <td>35.043921</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Fozzy / Фоззи</td>\n",
       "      <td>52a6c1bc11d2f10095c778b6</td>\n",
       "      <td>48.483839</td>\n",
       "      <td>35.063883</td>\n",
       "      <td>Supermarket</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Region                        Venue  \\\n",
       "0  Amur-Nyzhnodniprovskyi  Набережна на ж/м \"Сонячний\"   \n",
       "1  Amur-Nyzhnodniprovskyi                      Джайпур   \n",
       "2  Amur-Nyzhnodniprovskyi               Dance Republic   \n",
       "3  Amur-Nyzhnodniprovskyi                    Лазерхаус   \n",
       "4  Amur-Nyzhnodniprovskyi                Fozzy / Фоззи   \n",
       "\n",
       "                   Venue ID  Venue Latitude  Venue Longitude  \\\n",
       "0  4ead591a490170218c3e8eac       48.482077        35.064039   \n",
       "1  4e75e0861495be51714f2764       48.474490        35.028832   \n",
       "2  55a7a750498e39b5deec0a05       48.477264        35.024195   \n",
       "3  5502f0e7498e26f68f81b356       48.470317        35.043921   \n",
       "4  52a6c1bc11d2f10095c778b6       48.483839        35.063883   \n",
       "\n",
       "    Venue Primary Category  \n",
       "0               Waterfront  \n",
       "1     Gym / Fitness Center  \n",
       "2             Dance Studio  \n",
       "3  Health & Beauty Service  \n",
       "4              Supermarket  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dnipro_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(571, 6)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dnipro_venues.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "venues_filter_food = ['Supermarket', 'French Restaurant', 'Coffee Shop', 'Modern European Restaurant', 'Sushi Restaurant',\n",
    "                      'Fast Food Restaurant', 'Grocery Store', 'Italian Restaurant', 'Café', 'Beer Store', 'BBQ Joint',\n",
    "                      'Seafood Restaurant', 'Caucasian Restaurant', 'Restaurant', 'Bakery', 'Comfort Food Restaurant',\n",
    "                      'Pizza Place', 'Bar', 'Burger Joint', 'Dessert Shop', 'Tea Room', 'Cocktail Bar',\n",
    "                      'Vegetarian / Vegan Restaurant','Irish Pub', 'Soup Place', 'Pub', 'Eastern European Restaurant',\n",
    "                      'Gastropub', 'Ramen Restaurant', 'Food Court', 'Middle Eastern Restaurant', 'Food Truck',\n",
    "                      'Theme Restaurant', 'Juice Bar', 'Asian Restaurant', 'Ukrainian Restaurant', 'Food & Drink Shop']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "dnipro_venues_food = dnipro_venues.loc[dnipro_venues['Venue Primary Category'].isin(venues_filter_food)].drop_duplicates(subset = ['Venue ID'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue ID</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Primary Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Fozzy / Фоззи</td>\n",
       "      <td>52a6c1bc11d2f10095c778b6</td>\n",
       "      <td>48.483839</td>\n",
       "      <td>35.063883</td>\n",
       "      <td>Supermarket</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Pa-Si-Ju</td>\n",
       "      <td>558cfeb5498e6a17da7dfe6f</td>\n",
       "      <td>48.473249</td>\n",
       "      <td>35.029125</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>HAVE Coffee</td>\n",
       "      <td>5a2fa09e69e77b22f361c493</td>\n",
       "      <td>48.469386</td>\n",
       "      <td>35.038928</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Суши Набухико</td>\n",
       "      <td>5691301f498e3250c1f2ac16</td>\n",
       "      <td>48.469579</td>\n",
       "      <td>35.052557</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Confetti | Конфетти</td>\n",
       "      <td>5bbefb002aff31002b5f9d9b</td>\n",
       "      <td>48.483092</td>\n",
       "      <td>35.063147</td>\n",
       "      <td>Modern European Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Region                Venue                  Venue ID  \\\n",
       "4   Amur-Nyzhnodniprovskyi        Fozzy / Фоззи  52a6c1bc11d2f10095c778b6   \n",
       "6   Amur-Nyzhnodniprovskyi             Pa-Si-Ju  558cfeb5498e6a17da7dfe6f   \n",
       "11  Amur-Nyzhnodniprovskyi          HAVE Coffee  5a2fa09e69e77b22f361c493   \n",
       "13  Amur-Nyzhnodniprovskyi        Суши Набухико  5691301f498e3250c1f2ac16   \n",
       "14  Amur-Nyzhnodniprovskyi  Confetti | Конфетти  5bbefb002aff31002b5f9d9b   \n",
       "\n",
       "    Venue Latitude  Venue Longitude      Venue Primary Category  \n",
       "4        48.483839        35.063883                 Supermarket  \n",
       "6        48.473249        35.029125           French Restaurant  \n",
       "11       48.469386        35.038928                 Coffee Shop  \n",
       "13       48.469579        35.052557            Sushi Restaurant  \n",
       "14       48.483092        35.063147  Modern European Restaurant  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dnipro_venues_food.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(165, 6)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dnipro_venues_food.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "dnipro_venues_food = dnipro_venues_food.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.2. Get venues info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getVenuesDetails(ids):\n",
    "    venues_list=[]\n",
    "    for venue_id in ids:\n",
    "        url_venue = 'https://api.foursquare.com/v2/venues/{}?&client_id={}&client_secret={}&v={}'.format(\n",
    "                    venue_id, CLIENT_ID, CLIENT_SECRET, VERSION)\n",
    "        venue_results = requests.get(url_venue).json()[\"response\"]['venue']\n",
    "        \n",
    "        venues_list.append([\n",
    "            venue_results['location']['formattedAddress'],\n",
    "            [el['name'] for el in venue_results['categories']],\n",
    "            venue_results['likes']['count'] if 'likes' in venue_results else 0, \n",
    "            venue_results['rating'] if 'rating' in venue_results else 0,\n",
    "            venue_results['hours']['isOpen'] if 'hours' in venue_results else np.nan\n",
    "        ])\n",
    "\n",
    "    venues_table = pd.DataFrame(venues_list)\n",
    "    venues_table.columns = ['Venue Address', 'Venue Categories', 'Venue Likes', 'Venue Rating', 'Venue Is Open']\n",
    "    \n",
    "    return venues_table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "venues_table = getVenuesDetails(dnipro_venues_food['Venue ID'].values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "dnipro_venues_food = pd.concat([dnipro_venues_food, venues_table], axis=1, join='outer')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue ID</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Primary Category</th>\n",
       "      <th>Venue Address</th>\n",
       "      <th>Venue Categories</th>\n",
       "      <th>Venue Likes</th>\n",
       "      <th>Venue Rating</th>\n",
       "      <th>Venue Is Open</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Fozzy / Фоззи</td>\n",
       "      <td>52a6c1bc11d2f10095c778b6</td>\n",
       "      <td>48.483839</td>\n",
       "      <td>35.063883</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>[ТРЦ \"Вавілон\" (вул. Маршала Малиновського, 2)...</td>\n",
       "      <td>[Supermarket, Grocery Store]</td>\n",
       "      <td>374</td>\n",
       "      <td>7.9</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Pa-Si-Ju</td>\n",
       "      <td>558cfeb5498e6a17da7dfe6f</td>\n",
       "      <td>48.473249</td>\n",
       "      <td>35.029125</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>[просп. Дмитра Яворницького, 90, Дніпро, Україна]</td>\n",
       "      <td>[French Restaurant]</td>\n",
       "      <td>231</td>\n",
       "      <td>8.4</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>HAVE Coffee</td>\n",
       "      <td>5a2fa09e69e77b22f361c493</td>\n",
       "      <td>48.469386</td>\n",
       "      <td>35.038928</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>[просп. Дмитра Яворницького, 70а (вул. Юліуша ...</td>\n",
       "      <td>[Coffee Shop]</td>\n",
       "      <td>80</td>\n",
       "      <td>8.4</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Суши Набухико</td>\n",
       "      <td>5691301f498e3250c1f2ac16</td>\n",
       "      <td>48.469579</td>\n",
       "      <td>35.052557</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>[вул. Січеславська Набережна, 31-А, Дніпро, Ук...</td>\n",
       "      <td>[Sushi Restaurant]</td>\n",
       "      <td>42</td>\n",
       "      <td>8.2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Confetti | Конфетти</td>\n",
       "      <td>5bbefb002aff31002b5f9d9b</td>\n",
       "      <td>48.483092</td>\n",
       "      <td>35.063147</td>\n",
       "      <td>Modern European Restaurant</td>\n",
       "      <td>[ул. Малиновского, 2, Дніпро, Україна]</td>\n",
       "      <td>[Modern European Restaurant]</td>\n",
       "      <td>8</td>\n",
       "      <td>7.5</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                   Region                Venue                  Venue ID  \\\n",
       "0  Amur-Nyzhnodniprovskyi        Fozzy / Фоззи  52a6c1bc11d2f10095c778b6   \n",
       "1  Amur-Nyzhnodniprovskyi             Pa-Si-Ju  558cfeb5498e6a17da7dfe6f   \n",
       "2  Amur-Nyzhnodniprovskyi          HAVE Coffee  5a2fa09e69e77b22f361c493   \n",
       "3  Amur-Nyzhnodniprovskyi        Суши Набухико  5691301f498e3250c1f2ac16   \n",
       "4  Amur-Nyzhnodniprovskyi  Confetti | Конфетти  5bbefb002aff31002b5f9d9b   \n",
       "\n",
       "   Venue Latitude  Venue Longitude      Venue Primary Category  \\\n",
       "0       48.483839        35.063883                 Supermarket   \n",
       "1       48.473249        35.029125           French Restaurant   \n",
       "2       48.469386        35.038928                 Coffee Shop   \n",
       "3       48.469579        35.052557            Sushi Restaurant   \n",
       "4       48.483092        35.063147  Modern European Restaurant   \n",
       "\n",
       "                                       Venue Address  \\\n",
       "0  [ТРЦ \"Вавілон\" (вул. Маршала Малиновського, 2)...   \n",
       "1  [просп. Дмитра Яворницького, 90, Дніпро, Україна]   \n",
       "2  [просп. Дмитра Яворницького, 70а (вул. Юліуша ...   \n",
       "3  [вул. Січеславська Набережна, 31-А, Дніпро, Ук...   \n",
       "4             [ул. Малиновского, 2, Дніпро, Україна]   \n",
       "\n",
       "               Venue Categories  Venue Likes  Venue Rating Venue Is Open  \n",
       "0  [Supermarket, Grocery Store]          374           7.9         False  \n",
       "1           [French Restaurant]          231           8.4         False  \n",
       "2                 [Coffee Shop]           80           8.4         False  \n",
       "3            [Sushi Restaurant]           42           8.2         False  \n",
       "4  [Modern European Restaurant]            8           7.5           NaN  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dnipro_venues_food.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(165, 11)"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dnipro_venues_food.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Visualize cafes and shops with folium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "map_venues_food = folium.Map(location=[dnipro_regions.iloc[0, 2], dnipro_regions.iloc[0, 1]], zoom_start=12)\n",
    "\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, dnipro_regions.shape[0]))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "for lat, lng, name, region in zip(dnipro_venues_food['Venue Latitude'],\n",
    "                                  dnipro_venues_food['Venue Longitude'],\n",
    "                                  dnipro_venues_food['Venue'],\n",
    "                                  dnipro_venues_food['Region']):\n",
    "    label = folium.Popup('{}, {}'.format(name, region), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup= label,\n",
    "        color=rainbow[dnipro_regions.index[dnipro_regions['Region'] == region].tolist()[0]],\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_venues_food)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
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                var html_d84527d9fd034ea6a290a89811d52301 = $('<div id="html_d84527d9fd034ea6a290a89811d52301" style="width: 100.0%; height: 100.0%;">HAVE Coffee, Amur-Nyzhnodniprovskyi</div>')[0];
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      ],
      "text/plain": [
       "<folium.folium.Map at 0x1b93bab5248>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_venues_food"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Use the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Number of venues by region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Region\n",
       "Amur-Nyzhnodniprovskyi    43\n",
       "Chechelivskyi             24\n",
       "Industrialnyi             17\n",
       "Novokodatskyi             15\n",
       "Shevchenkivskyi           46\n",
       "Sobornyi                  11\n",
       "Tsentralnyi                9\n",
       "Name: Venue, dtype: int64"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grouped_venues = dnipro_venues_food.groupby('Region').count()['Venue']\n",
    "grouped_venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b93c078908>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
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5AD8PWEZbBfFV4HjaTZGRLuWZLUkX2H6IpMcA7wD+mbam/ZE9l7ZGktb4Q2r7nFHVsjYknUrbCLM+cB6wAjht1POYszUP6v+67d36rmMmptvmb/tHo6oF6k6hDNxi+6auL/K/2D68+xeyisHKjd2B/7D9BUlv7rGeYb1nDc+ZNidbwZ1sXyfpxbTWoG+SVGIE26le/3mSjgc+DdwwuOgxboEx6oCeTvUA/1O39vsFrOyNvEGP9czU/0r6IPAE4J2S/owxWJo0Hdu79F3DOrK+pC2B5wD/r+9iZqF6/ZsBv2LVf/Ar9DNH0iOAw4EH0PZuCLhx1Pd/qgf4C4G/Bt5m+8eSlgIj6wS2DjyH1sDnn21f2/1lrDYn+CBgO2CjwTXbH+uvohk5lDb1drrtsyTdm7Y9vYq3ULh+2y/su4a18O/A84BjgB1p3RTvMeoiqs+BPxP4su0bp33xGJL0floj+DOmffEYkvQm4PG0AP8ybTPS6bb37rOuYUna2fa3prs2riQttr2i7zpmS9LWtFHszrSR9+nAwZPbA4wjSWfbfrikC20/uLt2hu1Hj7KOsX+7Po2nAz+U9HFJu0uq9o7iHOANkgaN+Zf1XdAM7Q3sBlzVjaa2p1YrgMOHvDauzpB0oqQDulUo1XyEtvDg7sBWtBYYH+m1ouHdIGlD4Pyuh/krgI1HXUTpEThAtxPtKcA+tO30J9l+cb9VzUy3M/NZwL7APW1v03NJQ5F0pu0dJZ0N7ELbnXaR7Qf2XNoaSXoU8GjaVu73TXhqE+CZtrfvpbBZkLQj7edmT+D7wDG2S0wjSjrP9g7TXRtH3XTVL2hTh38P3An4N9s/HGUd1Ufg2P4T8BXaXNTZwDP6rWhW7ks7lmkJrbtZFcvVjrL7EO2//TnAmf2WNJQNaaOl9Wlb0Acf19HeVZRh+8xu2eCOwK+Bo3suaSaukfQ8SYu6j+fRbmqOtW4N+5ts/8H2tbbfaPugUYc3FB+BS3oybfSxC3AqcCxwou2b+qxrWJLeSWto9SNaF7nPVtmENJmkJcAmVTaSAEi61+Re1JWoHZ/2TNrfgfvQDnb41OQWy+NK0j1pPf0f1V36Fm0OfOz/n0g6Edi9G0D2V0fxAD+GNvL+SsUbmWonWx9n+5q+a5kJSfe3fcnqNvQU2sizGHgt8EBWXUVTYh1711Pn87TQ/nbf9Swkko4AdqB15Jy4hv1fR1lHtZt+q7C9r6QtgCeqHWh9pu2rey5rWoMApE033LMbidyqQAC+inak1FQbeipt5PkE7V3b02jLUfen7Was4t4uPALr5pHfTzsD08C3gb+zfXmvhQ1nBXAScPvuA9awxX6uVB+BP5u2/fxU2kL6PwdeY/u4PuuajqQP2X6JpFOmeNoVRoBqJ3I/qsqSu6lMWAp2waCDpaTTbD+u79rWRNK/2H6lpC8yRWjYfnoPZc2YpO/QzrL9ZHdpX+AV495KAkDSXpN3jE51bc7rKB7g5wNPHIy6u7fEX6u0iqAySd+2/ajpXzmeJH3H9k6Svgr8K21VwXG219jvom/qjhKUNOU/NLZPG3VNsyHpu5PDevD/pK+ahiXpnMmNqwYDglHWUXoKBVhv0pTJryiwsqbr3bJa49wLYpITJT2LdvO14kjgrZLuRFsGdjhtGeHf9VvS9CbcpPzd5BuWkvaY4kvGilYeaHKKpENo97FMWwp8Qm+FDUHSX9B2T28laWLf8k1YeSzc6Oqp+feukfRuWgvZwVuwfYALPOanxEha02YFu8iZkpKuB+4A3AT8gTr9wOcFSecA+3vSmbDjPgWhVQ80mcwe4wNNJD2U1vb5H2mtDAauB04e9YKE0gEOt45mH0P7YfiG7c/1XFKMOd32RJtVuM6JNvcGjqOdgzk4E/ZptqseU1aGpI3c84HGUHgKpVtM/1XbT6BA97KpdCto3g7c3fZT1E4Vf5TH5LSP6UzVz7lIj+fBiTY70/q4HNs9fjaFTrdx0TNhB7pd1H8DPLa7dCrwwb7XVg9ph64X0L1oOTp493m/URZRegTe9RJ+ftURh6Sv0Ho//D/b23e9XM4dNMcZV5I2oi2dOoXWzGrwVngT2pr8B/RU2ox0q4CeNAiMLlBOHPd2uSp+JuyApP+ktX8e7B59PnBzhVYYki6m7SE4m5V9/bH9y1HWUXYE3vkDcKGkk1h1MX2Jt8DA5rY/JekfANwOp7h5ui8aAy+l9RG5O+0HeBDg19GWhVVxd9oW+l93jzfuro270mfCTvCISSvGTu5WllVwne0v9l1E9QA/gTG/az2NGyTdhW40JWkn2khqrNl+P/B+Sa+wXal732SHAedOWI//OODN/ZUznIlbzbupxC2o+Xf5Zkn3cXfKTTenX2EAA+0fm3fQpm9v3QU+6lYSpadQALqWjvenheAPbP+x55KG1m1FPxx4EHARsBjYu0o/EU19KPNbC+wkvZWkuwGPpP38nGn7qp5LGlrXwvRNwC9ZuYTNhaZQdqNNIQ52Xi4BXmh7qg1uY0XSN6e4bNuPneL63NVROcAlPRX4IK0ZlIClwEttf6XXwmagm/fellb/D4rcwAHqHso8kaSns/Im2mnj8LZ4WJIuAx5pe+w7+E2kdhzZz21fpXaM4EtpxwpeBRxi+9dr/AZxq7Hf9DKN9wK72H58t/15F1bt71zBjrSDEB4G7CfpBT3XMxO3OZSZ1qq1BEmHAQfT+mh/Hzioe1tcxc8pMOU2hQ8Cg3fKjwQOod3I/CVwZF9FzYSkxZI+KOlL3ePtJP3VyOsoPgL/xsS3LGodrU4b9duY2ZL0cVob0PNYGYauchO2++H9X9ro6eHA72nTECVaGaid4L6D7Vu6x4toq4CqTEEcRXv3dgKrzsO+d7VfNAYknT/4GZH0AWCF7Td3j6sc6HACrRna67oVZBsA54x6BVnFGx8TfU/Sl2m9tE1bx3vWYKt6gS3py4Dtim5Dh3lwKDOwKStXodypz0Jm4Wfdx4YUeucDLJK0vlvf/t1onS0HqmTSXW3/t6TXQDtYpo8VZFX+Y63ORrS3XYOmPiuAzYA9aIE+7gF+EXA34Mq+C5mlzek2xUxoiVvpRKF3sHIVimhz4a/vt6Th2T4UQNIdbN8w3evHyCeB0yRdQ3vX9k0ASfelzpTQDV1Pl8EKskfQttOPVOkplKomtAG9I60p/Jms+ha4SjvQwYYS0f4xXUq7ETvWZ2JO1L1reATtz/DdYqtQHgUcBWxs+56StqfdxH9Zz6VNq1syuyVt49QN3bX70f4sY7+KSe0A8vfTDgM5n3Yo8962zxtpHRUDXNJrbb9rdT0txn0OeXVtQAeqtAOdrFsW+VLbL+27lmFIeovtf5zweD3g47af22NZQ5P0XdoZnsfbfmh37SLbD+q3soWhW8L8ANo//t/vYwlz1SmUi7tfl6/xVWNqENCSlgJXDpriSLodbVNGSbbP6d5KVnFPSf9g+x3dcrZP0w5mLsP2z9u9+1tV2QhTWnef7STb53ctcV8v6e0ZgS8gkpYDjx78y939i/4t2yVCUNKrJjxcj7YU8i62/6KnkmakW7X0CeBC2hLUr9guswxV0nG0pbT/RjuW7CBgme19ey1sAZiwB+LRwLtp/x9e4xEfRlF1BA7cOmf2atoOrlv/LC5wJFln/Ylvu2z/sQvxKu444fObaMvZPtNTLUPTqocxv5+2LvlbtBtrD6swB9v5a1r9WwFXACcCL++1ooVj8E7nacC/2/5Mtxt5pEqPwLvGN0dw245gJVqCdk24Drd9fPf4GcBBBdqxlqapzyIdcKEBQIzYYPljt3z5x7RltMtozfTOGvUeiOoBPvIz6NYlSfehvYXfinYz9grgBbYv67WwaWg1h+kOVFlFU53aGbAv4bbvQEuc6FSRurMwJW0MPJV2Atglku4ObD/qNh7VA/zNwNXA51h1GV6pXgrdD4Nsj3wd6WxMWEWzF20d+391j/cDfmK7xFpqtfMw38SEXijAW6r0l5d0Bm0N9eR3oGM/jVWVpHMHK37GQfUA//EUl+0xPlNvItU/kWeVVgaruzauJH2Gtplq4oEC29te46HT46LKtvP5RNIVtBuWUxp1G4PSNzFtL+27hrX0UboTebrHP6Qd71UiwIHFku5t+3K4dVnk4p5rmon72H7WhMeHShrpMrC19CVJT7X95b4LWUAW0Q7+mOpA5pErGeCDXierU6AHykDVE3kG/g44VdLEfs4lNvF0fi/pMbZPB5C0M21r91iTdD0rd8C+XtKNwJ9YeS7jJn3WN89dafst079sNEoGOK3XCbSzAB8NnNw93oV2MGqVAC95Is+A7f+RtA3tQA2AS2zfuKavGTN/AxzdzYUD/AbYv8d6hmL7jtO/KubIWIy8B6rPgX8JeIntK7vHWwIfKDSHWfpEHoBuI8MSVl0F8bHeCpoBSYts3yxpEwDb1/Vd00xIeiZw8uCmq6RNgcfb/ny/lc1fkjYbp0US1QN8lb4PXS+LCyr1glDtE3mq9zP/GfA/tPsOJ1dr6zvVTcxxWyURc6vqFMrAqZK+SmtPaWBfYOzP05tkR1aOYB8mqcwIlvr9zLelTce9HDiqe0d3zGBOvICpTtSq/nc6ZqD0CBxufRs5WLb2Dduf67OemZgHI9hP03aOVu1nfitJd6ZtS3+u7UV91zMMSR8GrgU+QBvAvAK4s+2/6rOuGJ358K/1GbQ+HKb11a6k+gh2c+D7kkr2M4dbNyXtAzwFOIt2ylAVrwDeSJsCgtYLZeT9OKI/pUfgkp5D6wR2Km0O+c9pHcGO67OuYVUfwa6ur3mVfubdRrDzaEfyHV/sVBskPdT2uX3XEf2pHuDnA0+0fXX3eDHwtVE3lJmp+XIiT3WSNqm28mSirinXlrQ+5sfY/l7PJcWIVZ9CWW8Q3p1fMfWNnXFzPO3ghm9Ouv442invY23CRpLbPEWtjSSbSDoa2Jn25zkdONj2Ff2WNRzbu0i6G23a58huOeSxtt/ac2kxItVH4O8GHkJbhQJtLvMC26/rr6rpdasdXj95vXd3zt6bbO8x9VfGutS18/1v4OPdpefRbmI+sb+qZkfSg4HXAvvYrtRTPtZC6QAHkPQs2ghKFFmFsqZzCyVdaPvBo65pIVrNOuoyDaIkPYA2aHk2cA1wDPCZSe9KYx6rPoUyaJ1ZrX3mRmt47nYjqyKukfQ8Vr6D2482DVfFR2i1P9H2L/ouJkavwnzxaknaS9Klkn4r6TpJ10uqcFPqLEkvmXxR0gG03s4xGi+izR9fBVxJO+G9zGEI3fmLR7Lq0XaxgJSeQpF0GbCH7YunffEY6fqAfw74IysDexmwIfBM21f1VVvUIWkP4J+BDW0vlbQD7UCKrGJaIKoH+Lds79x3HbMlaRdaIyuA79k+eU2vj3VD0j+u4Wnb/qeRFbMWJJ0N7AqcOuh/Mjgtvd/KYlSqz4Evl3Qs8HlWXUddop2s7VOo17tlPphqw84dgAOAuwAlAhy4yfZvpbHqcBojVD3ANwH+D3jShGumTj/w6IHt9ww+l3RH4GDghbRVHO9Z3deNoYsk/SWwqOvLfhCttUQsEKWnUCJmS9JmwKuA59LOxHy/7d/0W9XMSLo97Ti+J9GW0X4V+Cfbf+i1sBiZ0gHebZ1/Cbc9UKDMSoIYvW4D2F60FRwfsP27nkuKmJXqAX4GbTv62axsxzpYGx4xJUm30O6ZDLpY3voUhVoBSLof8GpuO4DZta+aYrSqB3iZXXMR61rXzO0IbjuAyV6CBaL6TcwvSXqq7S/3XUhED26y/R99FxH9KTkCn9ANT7TlXzcCf6LYW+CI2ehuwEJbdXI1bVPYxGW0Y3PobsytkgEesZB1B1EMBjAwqbWv7XuPvKjoRfVeKF+X9NRJ147sq56IEdkH2Nn2UttLgUOBi4Av0VoyxAJROsCBpcDrJL1pwrX8AMd8dwTdlImkxwLvoK1l/y1taWQsENUD/FpgN2ALSV+UdKe+C4oYgUUT5rn3AY60/RnbbwTu22NdMWLVA1y2b7L9MlpP8NOBu/ZcU8RcWyRpsIJsN2BiE7TqK8tiBqr/zz5i8Intj0q6EHh5j/VEjMIngdMkXQP8nu5sVUn3pU2jxAJRehWKpPcAH85p3LHQSNqJdiQ5Q+IAAATzSURBVCL9ibZv6K7dD9jY9jm9FhcjUz3AX0zrIrc+3fFStjMCiYgFoXSAD0jalhbk+wHfAj7U9dqOiJi3qt/ERNIi4P7dxzXA+cCrJB3Ta2EREXOs9Ahc0nuBpwNfB46yfeaE535ge9veiouImGPVV6FcBLzB9v9N8dyOoy4mImKUSo7AJd1zTc/b/tmoaomI6EvVAL+QVZv50D1eDNzV9qJeCouIGKGSUyi2HzzxsaQlwOuAJwBv76GkiIiRK70KRdI2kj4KfIV2Ksl2tg/vt6qIiNGoOoXyINpp3A8E3kXbwHPzmr8qImJ+qRrgNwM/B05gwlmAA7YPGnlREREjVnIOHHhR3wVERPSt5Ah8KpLuZvuqvuuIiBiV0jcxJ8nJ9BGxoMynANf0L4mImD/mU4B/qO8CIiJGqewcuKT1gAtsP6jvWiIi+lB2BG77FuD86fqiRETMV1WXEQ5sCXxP0pnADYOLtp/eX0kREaNRPcAP7buAiIi+lJ0Dj4hY6EqPwCVdT2sjC7AhsAFwg+1N+qsqImI0Sge47TtOfCxpT3IST0QsEPNuCkXSd2zv1HcdERFzrfQIXNJeEx6uByxj5ZRKRMS8VjrAgT0mfH4T8BPgGf2UEhExWvNuCiUiYqEoPQKXtBR4BbCECX+WbOSJiIWgdIADnweOAr4I3NJzLRERI1V6CkXSd20/su86IiL6UD3A/xLYBjgRuHFw3fY5vRUVETEi1adQHgw8H9iVlVMo7h5HRMxr1UfglwAPsf3HvmuJiBi1sv3AO+cDm/ZdREREH6pPoWwBXCLpLFbOgdt2NvNExLxXfQrlcRMfAo8B9rP9wJ5KiogYmdJTKLZPA34L7A58FNgNOKLPmiIiRqXkFIqk+wH7AvsBvwKOpb2b2KXXwiIiRqjkFIqkW4BvAgfYvqy7drnte/dbWUTE6FSdQnkWcBVwiqQPSdqNNgceEbFglByBD0i6A7AnbSplV+Bo4HO2T+y1sIiIESgd4BNJ2gx4NrCP7ezEjIh5b94EeETEQlN1DjwiYsFLgEdEFJUAj3lB0s2SzpN0kaQvSpp1jxxJb5H0hHVZX8RcyBx4zAuSfmd74+7zo4Ef2n5bz2VFzKmMwGM++jaw1eCBpNdIOkvSBZIOnXD9jZIukXSSpE9KenV3/aOS9u4+303SuZIulPRhSX/WXf+JpEMlndM9d/8R/xkjEuAxv0haROuJc3z3+Em0U5t2BHYAHi7psZKW0TaEPRTYC1g2xffaiNZjZx/bD6a1nvibCS+5xvbDgP8AXj1Xf6aI1UmAx3xxO0nn0XrjbAac1F1/UvdxLnAOcH9aoD8G+ILt39u+nnYw9mTbAj+2/cPu8dHAYyc8/9nu17OBJevujxIxnAR4zBe/t70DcC9gQ+Dl3XUB77C9Q/dxX9tHMVzrheleM+hBfzNFG8NFbQnwmFds/xY4CHi1pA2ArwIvkjS4wbmVpLsCpwN7SNqoe273Kb7dJcASSfftHj8fOG3O/xARQ8qoIeYd2+dKOh/Y1/bHJT0A+LYkgN8Bz7N9lqTjacfy/RRYTustP/H7/EHSC4FPS1ofOIv0m48xkmWEsWBJ2tj27yTdHvgGcKDtc/quK2JYGYHHQnakpO2AjYCjE95RTUbgERFF5SZmRERRCfCIiKIS4BERRSXAIyKKSoBHRBSVAI+IKOr/Ayp29L5wmc+bAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "grouped_venues.plot.bar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top-5 categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "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>Region</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>BBQ Joint</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Beer Store</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Café</th>\n",
       "      <th>Caucasian Restaurant</th>\n",
       "      <th>Cocktail Bar</th>\n",
       "      <th>...</th>\n",
       "      <th>Ramen Restaurant</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>Seafood Restaurant</th>\n",
       "      <th>Soup Place</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Tea Room</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Ukrainian Restaurant</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Region  Asian Restaurant  BBQ Joint  Bakery  Bar  \\\n",
       "0  Amur-Nyzhnodniprovskyi                 0          0       0    0   \n",
       "1  Amur-Nyzhnodniprovskyi                 0          0       0    0   \n",
       "2  Amur-Nyzhnodniprovskyi                 0          0       0    0   \n",
       "3  Amur-Nyzhnodniprovskyi                 0          0       0    0   \n",
       "4  Amur-Nyzhnodniprovskyi                 0          0       0    0   \n",
       "\n",
       "   Beer Store  Burger Joint  Café  Caucasian Restaurant  Cocktail Bar  ...  \\\n",
       "0           0             0     0                     0             0  ...   \n",
       "1           0             0     0                     0             0  ...   \n",
       "2           0             0     0                     0             0  ...   \n",
       "3           0             0     0                     0             0  ...   \n",
       "4           0             0     0                     0             0  ...   \n",
       "\n",
       "   Ramen Restaurant  Restaurant  Seafood Restaurant  Soup Place  Supermarket  \\\n",
       "0                 0           0                   0           0            1   \n",
       "1                 0           0                   0           0            0   \n",
       "2                 0           0                   0           0            0   \n",
       "3                 0           0                   0           0            0   \n",
       "4                 0           0                   0           0            0   \n",
       "\n",
       "   Sushi Restaurant  Tea Room  Theme Restaurant  Ukrainian Restaurant  \\\n",
       "0                 0         0                 0                     0   \n",
       "1                 0         0                 0                     0   \n",
       "2                 0         0                 0                     0   \n",
       "3                 1         0                 0                     0   \n",
       "4                 0         0                 0                     0   \n",
       "\n",
       "   Vegetarian / Vegan Restaurant  \n",
       "0                              0  \n",
       "1                              0  \n",
       "2                              0  \n",
       "3                              0  \n",
       "4                              0  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dnipro_onehot = pd.get_dummies(dnipro_venues_food[['Venue Primary Category']], prefix=\"\", prefix_sep=\"\")\n",
    "dnipro_onehot['Region'] = dnipro_venues_food['Region'] \n",
    "\n",
    "fixed_columns = [dnipro_onehot.columns[-1]] + list(dnipro_onehot.columns[:-1])\n",
    "dnipro_onehot = dnipro_onehot[fixed_columns]\n",
    "\n",
    "dnipro_onehot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "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>Region</th>\n",
       "      <th>#1 Most common Venue</th>\n",
       "      <th>#2 Most common Venue</th>\n",
       "      <th>#3 Most common Venue</th>\n",
       "      <th>#4 Most common Venue</th>\n",
       "      <th>#5 Most common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Beer Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Chechelivskyi</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Industrialnyi</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Novokodatskyi</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>BBQ Joint</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Shevchenkivskyi</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Modern European Restaurant</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Gastropub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Sobornyi</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Irish Pub</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Tsentralnyi</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Tea Room</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Region #1 Most common Venue        #2 Most common Venue  \\\n",
       "0  Amur-Nyzhnodniprovskyi          Coffee Shop                        Café   \n",
       "1           Chechelivskyi                 Café                 Coffee Shop   \n",
       "2           Industrialnyi               Bakery               Grocery Store   \n",
       "3           Novokodatskyi          Supermarket               Grocery Store   \n",
       "4         Shevchenkivskyi          Coffee Shop  Modern European Restaurant   \n",
       "5                Sobornyi           Restaurant                        Café   \n",
       "6             Tsentralnyi          Coffee Shop                  Restaurant   \n",
       "\n",
       "            #3 Most common Venue           #4 Most common Venue  \\\n",
       "0                    Supermarket           Fast Food Restaurant   \n",
       "1                    Supermarket                  Grocery Store   \n",
       "2    Eastern European Restaurant                     Restaurant   \n",
       "3                           Café                      BBQ Joint   \n",
       "4                       Tea Room                         Bakery   \n",
       "5  Vegetarian / Vegan Restaurant                      Irish Pub   \n",
       "6                           Café  Vegetarian / Vegan Restaurant   \n",
       "\n",
       "      #5 Most common Venue  \n",
       "0               Beer Store  \n",
       "1               Restaurant  \n",
       "2                Gastropub  \n",
       "3                   Bakery  \n",
       "4                Gastropub  \n",
       "5  Comfort Food Restaurant  \n",
       "6                 Tea Room  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def return_most_common_venues(row, num_top_venues):\n",
    "    return row.iloc[1:].sort_values(ascending=False).index.values[0:num_top_venues]\n",
    "\n",
    "dnipro_grouped_top_5 = dnipro_onehot.groupby('Region').sum().reset_index()\n",
    "\n",
    "columns = ['Region']\n",
    "columns.extend(['#{} Most common Venue'.format(i) for i in range(1,6)])\n",
    "\n",
    "dnipro_grouped_top_5_sorted = pd.DataFrame(columns=columns)\n",
    "dnipro_grouped_top_5_sorted['Region'] = dnipro_grouped_top_5['Region']\n",
    "\n",
    "for ind in np.arange(dnipro_grouped_top_5.shape[0]):\n",
    "    dnipro_grouped_top_5_sorted.iloc[ind, 1:] = return_most_common_venues(dnipro_grouped_top_5.iloc[ind, :], 5)\n",
    "    \n",
    "dnipro_grouped_top_5_sorted"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prepare data for the recommendation system"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "k_prepared_venues = dnipro_venues_food.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "k_prepared_venues = pd.concat([k_prepared_venues, dnipro_onehot.drop(columns=['Region'])], axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "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>Region</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue ID</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Primary Category</th>\n",
       "      <th>Venue Address</th>\n",
       "      <th>Venue Categories</th>\n",
       "      <th>Venue Likes</th>\n",
       "      <th>Venue Rating</th>\n",
       "      <th>...</th>\n",
       "      <th>Ramen Restaurant</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>Seafood Restaurant</th>\n",
       "      <th>Soup Place</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Tea Room</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Ukrainian Restaurant</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Fozzy / Фоззи</td>\n",
       "      <td>52a6c1bc11d2f10095c778b6</td>\n",
       "      <td>48.483839</td>\n",
       "      <td>35.063883</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>[ТРЦ \"Вавілон\" (вул. Маршала Малиновського, 2)...</td>\n",
       "      <td>[Supermarket, Grocery Store]</td>\n",
       "      <td>374</td>\n",
       "      <td>7.9</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Pa-Si-Ju</td>\n",
       "      <td>558cfeb5498e6a17da7dfe6f</td>\n",
       "      <td>48.473249</td>\n",
       "      <td>35.029125</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>[просп. Дмитра Яворницького, 90, Дніпро, Україна]</td>\n",
       "      <td>[French Restaurant]</td>\n",
       "      <td>231</td>\n",
       "      <td>8.4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>HAVE Coffee</td>\n",
       "      <td>5a2fa09e69e77b22f361c493</td>\n",
       "      <td>48.469386</td>\n",
       "      <td>35.038928</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>[просп. Дмитра Яворницького, 70а (вул. Юліуша ...</td>\n",
       "      <td>[Coffee Shop]</td>\n",
       "      <td>80</td>\n",
       "      <td>8.4</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Суши Набухико</td>\n",
       "      <td>5691301f498e3250c1f2ac16</td>\n",
       "      <td>48.469579</td>\n",
       "      <td>35.052557</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>[вул. Січеславська Набережна, 31-А, Дніпро, Ук...</td>\n",
       "      <td>[Sushi Restaurant]</td>\n",
       "      <td>42</td>\n",
       "      <td>8.2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Confetti | Конфетти</td>\n",
       "      <td>5bbefb002aff31002b5f9d9b</td>\n",
       "      <td>48.483092</td>\n",
       "      <td>35.063147</td>\n",
       "      <td>Modern European Restaurant</td>\n",
       "      <td>[ул. Малиновского, 2, Дніпро, Україна]</td>\n",
       "      <td>[Modern European Restaurant]</td>\n",
       "      <td>8</td>\n",
       "      <td>7.5</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Region                Venue                  Venue ID  \\\n",
       "0  Amur-Nyzhnodniprovskyi        Fozzy / Фоззи  52a6c1bc11d2f10095c778b6   \n",
       "1  Amur-Nyzhnodniprovskyi             Pa-Si-Ju  558cfeb5498e6a17da7dfe6f   \n",
       "2  Amur-Nyzhnodniprovskyi          HAVE Coffee  5a2fa09e69e77b22f361c493   \n",
       "3  Amur-Nyzhnodniprovskyi        Суши Набухико  5691301f498e3250c1f2ac16   \n",
       "4  Amur-Nyzhnodniprovskyi  Confetti | Конфетти  5bbefb002aff31002b5f9d9b   \n",
       "\n",
       "   Venue Latitude  Venue Longitude      Venue Primary Category  \\\n",
       "0       48.483839        35.063883                 Supermarket   \n",
       "1       48.473249        35.029125           French Restaurant   \n",
       "2       48.469386        35.038928                 Coffee Shop   \n",
       "3       48.469579        35.052557            Sushi Restaurant   \n",
       "4       48.483092        35.063147  Modern European Restaurant   \n",
       "\n",
       "                                       Venue Address  \\\n",
       "0  [ТРЦ \"Вавілон\" (вул. Маршала Малиновського, 2)...   \n",
       "1  [просп. Дмитра Яворницького, 90, Дніпро, Україна]   \n",
       "2  [просп. Дмитра Яворницького, 70а (вул. Юліуша ...   \n",
       "3  [вул. Січеславська Набережна, 31-А, Дніпро, Ук...   \n",
       "4             [ул. Малиновского, 2, Дніпро, Україна]   \n",
       "\n",
       "               Venue Categories  Venue Likes  Venue Rating  ...  \\\n",
       "0  [Supermarket, Grocery Store]          374           7.9  ...   \n",
       "1           [French Restaurant]          231           8.4  ...   \n",
       "2                 [Coffee Shop]           80           8.4  ...   \n",
       "3            [Sushi Restaurant]           42           8.2  ...   \n",
       "4  [Modern European Restaurant]            8           7.5  ...   \n",
       "\n",
       "  Ramen Restaurant  Restaurant  Seafood Restaurant  Soup Place  Supermarket  \\\n",
       "0                0           0                   0           0            1   \n",
       "1                0           0                   0           0            0   \n",
       "2                0           0                   0           0            0   \n",
       "3                0           0                   0           0            0   \n",
       "4                0           0                   0           0            0   \n",
       "\n",
       "   Sushi Restaurant  Tea Room  Theme Restaurant  Ukrainian Restaurant  \\\n",
       "0                 0         0                 0                     0   \n",
       "1                 0         0                 0                     0   \n",
       "2                 0         0                 0                     0   \n",
       "3                 1         0                 0                     0   \n",
       "4                 0         0                 0                     0   \n",
       "\n",
       "   Vegetarian / Vegan Restaurant  \n",
       "0                              0  \n",
       "1                              0  \n",
       "2                              0  \n",
       "3                              0  \n",
       "4                              0  \n",
       "\n",
       "[5 rows x 48 columns]"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k_prepared_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(165, 48)"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k_prepared_venues.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### turn geolocation into the distance to my current location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geocoder\n",
    "g = geocoder.ip('me')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "from geopy import distance\n",
    "def calc_distance(row):\n",
    "    return distance.distance(g.latlng, (row['Venue Latitude'], row['Venue Longitude'])).km"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "k_prepared_venues['Distance'] = k_prepared_venues.apply(calc_distance, axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "k_prepared_venues.drop(columns=['Venue Latitude', 'Venue Longitude'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "new_columns = list(k_prepared_venues.columns[:8].values)\n",
    "new_columns.extend(['Distance'])\n",
    "new_columns.extend(k_prepared_venues.columns[8:-1].values)\n",
    "k_prepared_venues = k_prepared_venues[new_columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Region</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue ID</th>\n",
       "      <th>Venue Primary Category</th>\n",
       "      <th>Venue Address</th>\n",
       "      <th>Venue Categories</th>\n",
       "      <th>Venue Likes</th>\n",
       "      <th>Venue Rating</th>\n",
       "      <th>Distance</th>\n",
       "      <th>Venue Is Open</th>\n",
       "      <th>...</th>\n",
       "      <th>Ramen Restaurant</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>Seafood Restaurant</th>\n",
       "      <th>Soup Place</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Tea Room</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Ukrainian Restaurant</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Fozzy / Фоззи</td>\n",
       "      <td>52a6c1bc11d2f10095c778b6</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>[ТРЦ \"Вавілон\" (вул. Маршала Малиновського, 2)...</td>\n",
       "      <td>[Supermarket, Grocery Store]</td>\n",
       "      <td>374</td>\n",
       "      <td>7.9</td>\n",
       "      <td>3.307693</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Pa-Si-Ju</td>\n",
       "      <td>558cfeb5498e6a17da7dfe6f</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>[просп. Дмитра Яворницького, 90, Дніпро, Україна]</td>\n",
       "      <td>[French Restaurant]</td>\n",
       "      <td>231</td>\n",
       "      <td>8.4</td>\n",
       "      <td>1.702071</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>HAVE Coffee</td>\n",
       "      <td>5a2fa09e69e77b22f361c493</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>[просп. Дмитра Яворницького, 70а (вул. Юліуша ...</td>\n",
       "      <td>[Coffee Shop]</td>\n",
       "      <td>80</td>\n",
       "      <td>8.4</td>\n",
       "      <td>1.121841</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Суши Набухико</td>\n",
       "      <td>5691301f498e3250c1f2ac16</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>[вул. Січеславська Набережна, 31-А, Дніпро, Ук...</td>\n",
       "      <td>[Sushi Restaurant]</td>\n",
       "      <td>42</td>\n",
       "      <td>8.2</td>\n",
       "      <td>1.540025</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Confetti | Конфетти</td>\n",
       "      <td>5bbefb002aff31002b5f9d9b</td>\n",
       "      <td>Modern European Restaurant</td>\n",
       "      <td>[ул. Малиновского, 2, Дніпро, Україна]</td>\n",
       "      <td>[Modern European Restaurant]</td>\n",
       "      <td>8</td>\n",
       "      <td>7.5</td>\n",
       "      <td>3.208433</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Region                Venue                  Venue ID  \\\n",
       "0  Amur-Nyzhnodniprovskyi        Fozzy / Фоззи  52a6c1bc11d2f10095c778b6   \n",
       "1  Amur-Nyzhnodniprovskyi             Pa-Si-Ju  558cfeb5498e6a17da7dfe6f   \n",
       "2  Amur-Nyzhnodniprovskyi          HAVE Coffee  5a2fa09e69e77b22f361c493   \n",
       "3  Amur-Nyzhnodniprovskyi        Суши Набухико  5691301f498e3250c1f2ac16   \n",
       "4  Amur-Nyzhnodniprovskyi  Confetti | Конфетти  5bbefb002aff31002b5f9d9b   \n",
       "\n",
       "       Venue Primary Category  \\\n",
       "0                 Supermarket   \n",
       "1           French Restaurant   \n",
       "2                 Coffee Shop   \n",
       "3            Sushi Restaurant   \n",
       "4  Modern European Restaurant   \n",
       "\n",
       "                                       Venue Address  \\\n",
       "0  [ТРЦ \"Вавілон\" (вул. Маршала Малиновського, 2)...   \n",
       "1  [просп. Дмитра Яворницького, 90, Дніпро, Україна]   \n",
       "2  [просп. Дмитра Яворницького, 70а (вул. Юліуша ...   \n",
       "3  [вул. Січеславська Набережна, 31-А, Дніпро, Ук...   \n",
       "4             [ул. Малиновского, 2, Дніпро, Україна]   \n",
       "\n",
       "               Venue Categories  Venue Likes  Venue Rating  Distance  \\\n",
       "0  [Supermarket, Grocery Store]          374           7.9  3.307693   \n",
       "1           [French Restaurant]          231           8.4  1.702071   \n",
       "2                 [Coffee Shop]           80           8.4  1.121841   \n",
       "3            [Sushi Restaurant]           42           8.2  1.540025   \n",
       "4  [Modern European Restaurant]            8           7.5  3.208433   \n",
       "\n",
       "  Venue Is Open  ...  Ramen Restaurant  Restaurant  Seafood Restaurant  \\\n",
       "0         False  ...                 0           0                   0   \n",
       "1         False  ...                 0           0                   0   \n",
       "2         False  ...                 0           0                   0   \n",
       "3         False  ...                 0           0                   0   \n",
       "4           NaN  ...                 0           0                   0   \n",
       "\n",
       "   Soup Place  Supermarket  Sushi Restaurant  Tea Room  Theme Restaurant  \\\n",
       "0           0            1                 0         0                 0   \n",
       "1           0            0                 0         0                 0   \n",
       "2           0            0                 0         0                 0   \n",
       "3           0            0                 1         0                 0   \n",
       "4           0            0                 0         0                 0   \n",
       "\n",
       "   Ukrainian Restaurant  Vegetarian / Vegan Restaurant  \n",
       "0                     0                              0  \n",
       "1                     0                              0  \n",
       "2                     0                              0  \n",
       "3                     0                              0  \n",
       "4                     0                              0  \n",
       "\n",
       "[5 rows x 47 columns]"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k_prepared_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "for index, row in k_prepared_venues.iterrows():\n",
    "    for cat in row['Venue Categories']:\n",
    "        if not cat in k_prepared_venues.columns:\n",
    "            k_prepared_venues[cat] = 0\n",
    "    k_prepared_venues.loc[index, row['Venue Categories']] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "k_prepared_venues.drop(columns=['Venue Categories'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "k_prepared_venues.drop(columns=['Venue Primary Category'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "k_prepared_venues['Venue Is Open'] = k_prepared_venues['Venue Is Open'].apply(lambda x: 1 if x else 0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Normalize data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = preprocessing.StandardScaler().fit(k_prepared_venues.iloc[:, 4:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "k_prepared_venues_norm = k_prepared_venues.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "k_prepared_venues_norm.iloc[:, 4:] = scaler.transform(k_prepared_venues.iloc[:, 4:].astype(float))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Venue</th>\n",
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       "      <th>Asian Restaurant</th>\n",
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       "      <td>HAVE Coffee</td>\n",
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       "      <td>Суши Набухико</td>\n",
       "      <td>5691301f498e3250c1f2ac16</td>\n",
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       "      <td>-0.078087</td>\n",
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       "      <td>-0.078087</td>\n",
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       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Amur-Nyzhnodniprovskyi</td>\n",
       "      <td>Confetti | Конфетти</td>\n",
       "      <td>5bbefb002aff31002b5f9d9b</td>\n",
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       "      <td>-0.078087</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Region                Venue                  Venue ID  \\\n",
       "0  Amur-Nyzhnodniprovskyi        Fozzy / Фоззи  52a6c1bc11d2f10095c778b6   \n",
       "1  Amur-Nyzhnodniprovskyi             Pa-Si-Ju  558cfeb5498e6a17da7dfe6f   \n",
       "2  Amur-Nyzhnodniprovskyi          HAVE Coffee  5a2fa09e69e77b22f361c493   \n",
       "3  Amur-Nyzhnodniprovskyi        Суши Набухико  5691301f498e3250c1f2ac16   \n",
       "4  Amur-Nyzhnodniprovskyi  Confetti | Конфетти  5bbefb002aff31002b5f9d9b   \n",
       "\n",
       "                                       Venue Address  Venue Likes  \\\n",
       "0  [ТРЦ \"Вавілон\" (вул. Маршала Малиновського, 2)...     1.030082   \n",
       "1  [просп. Дмитра Яворницького, 90, Дніпро, Україна]     0.449239   \n",
       "2  [просп. Дмитра Яворницького, 70а (вул. Юліуша ...    -0.164098   \n",
       "3  [вул. Січеславська Набережна, 31-А, Дніпро, Ук...    -0.318448   \n",
       "4             [ул. Малиновского, 2, Дніпро, Україна]    -0.456550   \n",
       "\n",
       "   Venue Rating  Distance  Venue Is Open  Asian Restaurant  BBQ Joint  ...  \\\n",
       "0      0.513881 -0.055152      -1.122619         -0.078087  -0.210485  ...   \n",
       "1      0.802283 -0.663946      -1.122619         -0.078087  -0.210485  ...   \n",
       "2      0.802283 -0.883948      -1.122619         -0.078087  -0.210485  ...   \n",
       "3      0.686922 -0.725388      -1.122619         -0.078087  -0.210485  ...   \n",
       "4      0.283159 -0.092788       0.890774         -0.078087  -0.210485  ...   \n",
       "\n",
       "     Bistro  Miscellaneous Shop  Breakfast Spot  Tailor Shop  Steakhouse  \\\n",
       "0 -0.078087            -0.11077       -0.136083    -0.078087   -0.078087   \n",
       "1 -0.078087            -0.11077       -0.136083    -0.078087   -0.078087   \n",
       "2 -0.078087            -0.11077       -0.136083    -0.078087   -0.078087   \n",
       "3 -0.078087            -0.11077       -0.136083    -0.078087   -0.078087   \n",
       "4 -0.078087            -0.11077       -0.136083    -0.078087   -0.078087   \n",
       "\n",
       "   Noodle House  Wine Bar     Hotel  Shopping Mall  Convenience Store  \n",
       "0     -0.078087 -0.078087 -0.078087      -0.078087          -0.078087  \n",
       "1     -0.078087 -0.078087 -0.078087      -0.078087          -0.078087  \n",
       "2     -0.078087 -0.078087 -0.078087      -0.078087          -0.078087  \n",
       "3     -0.078087 -0.078087 -0.078087      -0.078087          -0.078087  \n",
       "4     -0.078087 -0.078087 -0.078087      -0.078087          -0.078087  \n",
       "\n",
       "[5 rows x 59 columns]"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k_prepared_venues_norm.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get most preferrable venue by Euclidian distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "#the most number of likes, the highest rating, opened, nearest, any location\n",
    "user_data = [k_prepared_venues['Venue Likes'].max(), 10, 1, 0]\n",
    "user_data.extend([0 for el in k_prepared_venues.columns[8:]])\n",
    "user_data = pd.DataFrame([user_data])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>7</th>\n",
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       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>45</th>\n",
       "      <th>46</th>\n",
       "      <th>47</th>\n",
       "      <th>48</th>\n",
       "      <th>49</th>\n",
       "      <th>50</th>\n",
       "      <th>51</th>\n",
       "      <th>52</th>\n",
       "      <th>53</th>\n",
       "      <th>54</th>\n",
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       "      <td>0</td>\n",
       "      <td>1742</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "</table>\n",
       "<p>1 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     0   1   2   3   4   5   6   7   8   9   ...  45  46  47  48  49  50  51  \\\n",
       "0  1742  10   1   0   0   0   0   0   0   0  ...   0   0   0   0   0   0   0   \n",
       "\n",
       "   52  53  54  \n",
       "0   0   0   0  \n",
       "\n",
       "[1 rows x 55 columns]"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "user_data_normalized = scaler.transform(user_data.astype(float))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 6.58667408,  1.72517124, -0.93014548, -1.12261925, -0.07808688,\n",
       "        -0.21048467, -0.26726124, -0.15762208, -0.13608276, -0.11076976,\n",
       "        -0.44232587, -0.1767767 , -0.15762208, -0.49051147, -0.13608276,\n",
       "        -0.1767767 , -0.1767767 , -0.21048467, -0.11076976, -0.11076976,\n",
       "        -0.07808688, -0.07808688, -0.15762208, -0.29244883, -0.07808688,\n",
       "        -0.13608276, -0.07808688, -0.13608276, -0.19425717, -0.13608276,\n",
       "        -0.15762208, -0.07808688, -0.30449176, -0.07808688, -0.07808688,\n",
       "        -0.29244883, -0.11076976, -0.19425717, -0.11076976, -0.07808688,\n",
       "        -0.11076976, -0.07808688, -0.07808688, -0.07808688, -0.07808688,\n",
       "        -0.07808688, -0.11076976, -0.13608276, -0.07808688, -0.07808688,\n",
       "        -0.07808688, -0.07808688, -0.07808688, -0.07808688, -0.07808688]])"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_data_normalized"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics.pairwise import euclidean_distances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [],
   "source": [
    "k_prepared_venues['Euclidian'] = euclidean_distances(k_prepared_venues.iloc[:, 4:], user_data_normalized)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [],
   "source": [
    "fitting_venue = k_prepared_venues.loc[k_prepared_venues['Euclidian'] == k_prepared_venues['Euclidian'].min(), 'Venue ID'].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        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",
       "      <th>Venue Address</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>41</td>\n",
       "      <td>Море Пива</td>\n",
       "      <td>[Малиновского, 48, Дніпро, Україна]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Venue                        Venue Address\n",
       "41  Море Пива  [Малиновского, 48, Дніпро, Україна]"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "k_prepared_venues.loc[k_prepared_venues['Venue ID'] == fitting_venue[0], ['Venue', 'Venue Address']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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