Location and Cusine for Restaurants in Charlotte, North Carolina.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "10f9d0bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "from geopy.geocoders import Nominatim\n",
    "import pandas as pd\n",
    "import folium\n",
    "import json\n",
    "from pandas.io.json import json_normalize\n",
    "import numpy as np\n",
    "from sklearn.cluster import KMeans\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "# Get a listing of Charlotte neighborhoods from Wikipedia\n",
    "url = 'https://en.wikipedia.org/wiki/List_of_Charlotte_neighborhoods'\n",
    "html = requests.get(url).text\n",
    "soup = BeautifulSoup(html, 'html.parser')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "dc937ded",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Elizabeth',\n",
       " 'Eastland',\n",
       " 'Plaza-Midwood',\n",
       " 'Sherwood Forest',\n",
       " 'University City',\n",
       " 'University City',\n",
       " 'Derita',\n",
       " 'Highland Creek',\n",
       " 'NoDa',\n",
       " 'Mallard',\n",
       " 'University City',\n",
       " 'Ballantyne',\n",
       " 'Chantilly',\n",
       " 'Elizabeth',\n",
       " 'Cotswold',\n",
       " 'Dilworth',\n",
       " 'Myers Park',\n",
       " 'Parkdale',\n",
       " 'Quail Hollow',\n",
       " 'Sedgefield',\n",
       " 'SouthPark',\n",
       " 'Starmount',\n",
       " 'Steele Creek',\n",
       " 'Biddleville',\n",
       " 'Reid Park',\n",
       " 'Coulwood',\n",
       " 'Paw Creek',\n",
       " 'Dilworth',\n",
       " 'Plaza-Midwood',\n",
       " 'South End']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a list to hold Charlotte neighborhoods scraped from site\n",
    "neighborhoods = []\n",
    "\n",
    "# List to be ignored when scraping\n",
    "invalid = ['edit', \n",
    "           'Article', \n",
    "           'Talk', \n",
    "           'Read', \n",
    "           'Edit',\n",
    "           'View history', 'Plaza-Midwood (Charlotte neighborhood)',\n",
    "           'https://en.wikipedia.org/w/index.php?title=List_of_Charlotte_neighborhoods&oldid=1024225125',\n",
    "           'What links here', \n",
    "           'Related changes', \n",
    "           'Permanent link' ,\n",
    "           'Page information', \n",
    "           'Cite this page', \n",
    "           'Download as PDF', \n",
    "           'Printable version', \n",
    "           'Mobile view', \n",
    "           'Historic South End']\n",
    "\n",
    "# Neighborhoods to be added to list that don't match the filter\n",
    "toadd = ['Dilworth', 'Plaza-Midwood', 'South End']\n",
    "\n",
    "# Find <a href> tags that also have 'Charlotte_neighborhood' in them\n",
    "for link in soup.select(\"a[href*=Charlotte_neighborhood]\"):\n",
    "        \n",
    "        # Add the link to the list as long as it is no in the invalid list above\n",
    "        if link.text not in invalid:\n",
    "            neighborhoods.append(link.text)\n",
    "\n",
    "# Add the neighborhoods to the list that were mis-tagged on the web page\n",
    "for item in toadd:\n",
    "    neighborhoods.append(item)\n",
    "    \n",
    "\n",
    "# List the Charlotte Neighborhoods\n",
    "neighborhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9d5171ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Dilworth',\n",
       " 'Cotswold',\n",
       " 'Coulwood',\n",
       " 'Myers Park',\n",
       " 'Highland Creek',\n",
       " 'Paw Creek',\n",
       " 'Ballantyne',\n",
       " 'Mallard',\n",
       " 'Starmount',\n",
       " 'Parkdale',\n",
       " 'Sedgefield',\n",
       " 'Steele Creek',\n",
       " 'South End',\n",
       " 'Sherwood Forest',\n",
       " 'Quail Hollow',\n",
       " 'Elizabeth',\n",
       " 'Eastland',\n",
       " 'Reid Park',\n",
       " 'NoDa',\n",
       " 'University City',\n",
       " 'Biddleville',\n",
       " 'Chantilly',\n",
       " 'SouthPark',\n",
       " 'Plaza-Midwood',\n",
       " 'Derita']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Remove any duplicates from the list\n",
    "neighborhoods = list(set(neighborhoods))\n",
    "neighborhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8a79f63a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 25 neighborhoods\n"
     ]
    }
   ],
   "source": [
    "# How many neighborhoods are there\n",
    "print(f\"There are {len(neighborhoods)} neighborhoods\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "26cbe987",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dilworth 35.2066117 -80.8509137\n",
      "Cotswold 35.1759242 -80.7983301\n",
      "Coulwood 35.30420915 -80.93669320359547\n",
      "Myers Park 35.1917349 -80.8334894\n",
      "Highland Creek 35.3866225 -80.76050420405772\n",
      "Paw Creek 35.263798 -80.916153\n",
      "Ballantyne 35.0546593 -80.8502463\n",
      "Mallard 35.3409197 -80.7838899\n",
      "Starmount 35.1382582 -80.8683834\n",
      "Parkdale 35.1582874 -80.8456613\n",
      "Sedgefield 35.192921 -80.8634052\n",
      "Steele Creek 35.14409795 -80.97896658564757\n",
      "South End 35.2126229 -80.8588405\n",
      "Sherwood Forest 35.1709339 -80.7837254\n",
      "Quail Hollow 35.1186739 -80.8399701\n",
      "Elizabeth 35.2169699 -80.8275822\n",
      "Eastland 35.2088208 -80.7513256\n",
      "Reid Park 35.2109472 -80.9033051\n",
      "NoDa 35.246994 -80.8057768\n",
      "University City 35.3171141 -80.7529397\n",
      "Biddleville 35.2450426 -80.8573483\n",
      "Chantilly 35.2137544 -80.8100707\n",
      "SouthPark 35.1484341 -80.8309095\n",
      "Plaza-Midwood 35.2202706 -80.8108494\n",
      "Derita 35.2833128 -80.8192863\n"
     ]
    }
   ],
   "source": [
    "# Initialize lists to hold latitude and longitude for each neighborhood\n",
    "lat_list = []\n",
    "long_list = []\n",
    "\n",
    "# Iterate through the list and find the latitude & longitude for each neighborhood\n",
    "\n",
    "for item in neighborhoods:\n",
    "    loc = item + \", Charlotte, NC\"\n",
    "    geolocator = Nominatim(user_agent=\"my_request\")\n",
    "    location = geolocator.geocode(loc)\n",
    "    print(item, location.latitude, location.longitude)\n",
    "    lat_list.append(location.latitude)\n",
    "    long_list.append(location.longitude)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9052be76",
   "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>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dilworth</td>\n",
       "      <td>35.206612</td>\n",
       "      <td>-80.850914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>35.175924</td>\n",
       "      <td>-80.798330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Coulwood</td>\n",
       "      <td>35.304209</td>\n",
       "      <td>-80.936693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Myers Park</td>\n",
       "      <td>35.191735</td>\n",
       "      <td>-80.833489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Highland Creek</td>\n",
       "      <td>35.386623</td>\n",
       "      <td>-80.760504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Paw Creek</td>\n",
       "      <td>35.263798</td>\n",
       "      <td>-80.916153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>35.054659</td>\n",
       "      <td>-80.850246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Mallard</td>\n",
       "      <td>35.340920</td>\n",
       "      <td>-80.783890</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Starmount</td>\n",
       "      <td>35.138258</td>\n",
       "      <td>-80.868383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>35.158287</td>\n",
       "      <td>-80.845661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Sedgefield</td>\n",
       "      <td>35.192921</td>\n",
       "      <td>-80.863405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Steele Creek</td>\n",
       "      <td>35.144098</td>\n",
       "      <td>-80.978967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Sherwood Forest</td>\n",
       "      <td>35.170934</td>\n",
       "      <td>-80.783725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Quail Hollow</td>\n",
       "      <td>35.118674</td>\n",
       "      <td>-80.839970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>35.216970</td>\n",
       "      <td>-80.827582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Eastland</td>\n",
       "      <td>35.208821</td>\n",
       "      <td>-80.751326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Reid Park</td>\n",
       "      <td>35.210947</td>\n",
       "      <td>-80.903305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>35.246994</td>\n",
       "      <td>-80.805777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>University City</td>\n",
       "      <td>35.317114</td>\n",
       "      <td>-80.752940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Biddleville</td>\n",
       "      <td>35.245043</td>\n",
       "      <td>-80.857348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Chantilly</td>\n",
       "      <td>35.213754</td>\n",
       "      <td>-80.810071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>35.220271</td>\n",
       "      <td>-80.810849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Derita</td>\n",
       "      <td>35.283313</td>\n",
       "      <td>-80.819286</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Neighborhood   Latitude  Longitude\n",
       "0          Dilworth  35.206612 -80.850914\n",
       "1          Cotswold  35.175924 -80.798330\n",
       "2          Coulwood  35.304209 -80.936693\n",
       "3        Myers Park  35.191735 -80.833489\n",
       "4    Highland Creek  35.386623 -80.760504\n",
       "5         Paw Creek  35.263798 -80.916153\n",
       "6        Ballantyne  35.054659 -80.850246\n",
       "7           Mallard  35.340920 -80.783890\n",
       "8         Starmount  35.138258 -80.868383\n",
       "9          Parkdale  35.158287 -80.845661\n",
       "10       Sedgefield  35.192921 -80.863405\n",
       "11     Steele Creek  35.144098 -80.978967\n",
       "12        South End  35.212623 -80.858840\n",
       "13  Sherwood Forest  35.170934 -80.783725\n",
       "14     Quail Hollow  35.118674 -80.839970\n",
       "15        Elizabeth  35.216970 -80.827582\n",
       "16         Eastland  35.208821 -80.751326\n",
       "17        Reid Park  35.210947 -80.903305\n",
       "18             NoDa  35.246994 -80.805777\n",
       "19  University City  35.317114 -80.752940\n",
       "20      Biddleville  35.245043 -80.857348\n",
       "21        Chantilly  35.213754 -80.810071\n",
       "22        SouthPark  35.148434 -80.830910\n",
       "23    Plaza-Midwood  35.220271 -80.810849\n",
       "24           Derita  35.283313 -80.819286"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create new empty dataframe\n",
    "df = pd.DataFrame()\n",
    "\n",
    "# append columns to an empty DataFrame\n",
    "df['Neighborhood'] = neighborhoods\n",
    "df['Latitude'] = lat_list\n",
    "df['Longitude'] = long_list\n",
    "\n",
    "# Let me see all the rows of the dataframe when I display it\n",
    "# instead of the default 30\n",
    "pd.set_option('display.max_rows', 200)\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "32500a09",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinates of Charlotte are 35.2272086, -80.8430827.\n"
     ]
    }
   ],
   "source": [
    "# Get the overall location of Charlotte, NC\n",
    "address = \"Charlotte, NC\"\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"charlotte_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinates of Charlotte are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7f7a4aa3",
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f8df0f5f970>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of Charlotte\n",
    "import folium\n",
    "map_charlotte = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "map_charlotte"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "00b9102f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" 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onload=\"this.contentDocument.open();this.contentDocument.write(    decodeURIComponent(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f8df0f5f970>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add the neighborhoods to the map\n",
    "for lat, lng, neighborhood in zip(\n",
    "        df['Latitude'], \n",
    "        df['Longitude'], \n",
    "        df['Neighborhood']):\n",
    "    label = '{}'.format(neighborhood)\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_charlotte)  \n",
    "\n",
    "map_charlotte"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d8fad12d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Foursquare Credentials\n",
    "CLIENT_ID = '*** REMOVED ***' # your Foursquare ID\n",
    "CLIENT_SECRET = '*** REMOVED ***' # your Foursquare Secret\n",
    "VERSION = '20180605' # Foursquare API version\n",
    "LIMIT = 100 # A default Foursquare API limit value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "bf2075b8",
   "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>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.83091</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Neighborhood   Latitude  Longitude\n",
       "22    SouthPark  35.148434  -80.83091"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Test Foursquare access on SouthPark priot to running it against\n",
    "# all the neighborhoods\n",
    "southpark_df = df.loc[df['Neighborhood'] == 'SouthPark']\n",
    "southpark_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f8028794",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SouthPark 35.1484341 -80.8309095\n"
     ]
    }
   ],
   "source": [
    "# Create variables for use in Foursquare URL\n",
    "southpark_latitude = southpark_df['Latitude'].values[0]\n",
    "southpark_longitude = southpark_df['Longitude'].values[0]\n",
    "print(southpark_df['Neighborhood'].values[0], southpark_latitude, southpark_longitude)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "7d1753c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '60b40410c2be251eaf53a657'},\n",
       " 'response': {'suggestedFilters': {'header': 'Tap to show:',\n",
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       "         'primary': True}],\n",
       "       'delivery': {'id': '2455568',\n",
       "        'url': 'https://www.grubhub.com/restaurant/mcdonalds-6428-fairview-rd-charlotte/2455568?affiliate=1131&utm_source=foursquare-affiliate-network&utm_medium=affiliate&utm_campaign=1131&utm_content=2455568',\n",
       "        'provider': {'name': 'grubhub',\n",
       "         'icon': {'prefix': 'https://fastly.4sqi.net/img/general/cap/',\n",
       "          'sizes': [40, 50],\n",
       "          'name': '/delivery_provider_grubhub_20180129.png'}}},\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4bbf55e385fbb71310fb7167-80'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4c20fc764889a593ae432720',\n",
       "       'name': 'KAY Jewelers',\n",
       "       'location': {'lat': 35.15254765,\n",
       "        'lng': -80.832596,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 35.15254765,\n",
       "          'lng': -80.832596}],\n",
       "        'distance': 482,\n",
       "        'postalCode': '28211',\n",
       "        'cc': 'US',\n",
       "        'city': 'Charlotte',\n",
       "        'state': 'NC',\n",
       "        'country': 'United States',\n",
       "        'formattedAddress': ['Charlotte, NC 28211', 'United States']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d111951735',\n",
       "         'name': 'Jewelry Store',\n",
       "         'pluralName': 'Jewelry Stores',\n",
       "         'shortName': 'Jewelry',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/jewelry_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4c20fc764889a593ae432720-81'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4cbb2ca1adcd5481895527a2',\n",
       "       'name': 'Lids',\n",
       "       'location': {'address': '4400 Sharon Rd Ste 127',\n",
       "        'lat': 35.15271905213358,\n",
       "        'lng': -80.83253842745088,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 35.15271905213358,\n",
       "          'lng': -80.83253842745088}],\n",
       "        'distance': 499,\n",
       "        'postalCode': '28211',\n",
       "        'cc': 'US',\n",
       "        'city': 'Charlotte',\n",
       "        'state': 'NC',\n",
       "        'country': 'United States',\n",
       "        'formattedAddress': ['4400 Sharon Rd Ste 127',\n",
       "         'Charlotte, NC 28211',\n",
       "         'United States']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d102951735',\n",
       "         'name': 'Accessories Store',\n",
       "         'pluralName': 'Accessories Stores',\n",
       "         'shortName': 'Accessories',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/apparel_accessories_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4cbb2ca1adcd5481895527a2-82'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '59b8bf94cf72a04217449d52',\n",
       "       'name': 'Homewood Suites by Hilton',\n",
       "       'location': {'address': '4808 Sharon Rd',\n",
       "        'lat': 35.146436,\n",
       "        'lng': -80.832913,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 35.146436,\n",
       "          'lng': -80.832913}],\n",
       "        'distance': 287,\n",
       "        'postalCode': '28210',\n",
       "        'cc': 'US',\n",
       "        'city': 'Charlotte',\n",
       "        'state': 'NC',\n",
       "        'country': 'United States',\n",
       "        'formattedAddress': ['4808 Sharon Rd',\n",
       "         'Charlotte, NC 28210',\n",
       "         'United States']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1fa931735',\n",
       "         'name': 'Hotel',\n",
       "         'pluralName': 'Hotels',\n",
       "         'shortName': 'Hotel',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/travel/hotel_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-59b8bf94cf72a04217449d52-83'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '51b250b4498e6923e504c461',\n",
       "       'name': 'Papyrus',\n",
       "       'location': {'address': '4400 Sharon Rd',\n",
       "        'crossStreet': 'at Fairview Rd',\n",
       "        'lat': 35.15266937063265,\n",
       "        'lng': -80.83239149860225,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 35.15266937063265,\n",
       "          'lng': -80.83239149860225}],\n",
       "        'distance': 490,\n",
       "        'postalCode': '28211',\n",
       "        'cc': 'US',\n",
       "        'city': 'Charlotte',\n",
       "        'state': 'NC',\n",
       "        'country': 'United States',\n",
       "        'formattedAddress': ['4400 Sharon Rd (at Fairview Rd)',\n",
       "         'Charlotte, NC 28211',\n",
       "         'United States']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d128951735',\n",
       "         'name': 'Gift Shop',\n",
       "         'pluralName': 'Gift Shops',\n",
       "         'shortName': 'Gift Shop',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/giftshop_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []},\n",
       "       'venuePage': {'id': '560616755'}},\n",
       "      'referralId': 'e-0-51b250b4498e6923e504c461-84'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4d7125bca4ef3704c18b14b3',\n",
       "       'name': \"David's Ltd\",\n",
       "       'location': {'address': 'Village at southpark',\n",
       "        'lat': 35.15241433021261,\n",
       "        'lng': -80.82845176827864,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 35.15241433021261,\n",
       "          'lng': -80.82845176827864}],\n",
       "        'distance': 496,\n",
       "        'cc': 'US',\n",
       "        'city': 'Charlotte',\n",
       "        'state': 'NC',\n",
       "        'country': 'United States',\n",
       "        'formattedAddress': ['Village at southpark',\n",
       "         'Charlotte, NC',\n",
       "         'United States']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d111951735',\n",
       "         'name': 'Jewelry Store',\n",
       "         'pluralName': 'Jewelry Stores',\n",
       "         'shortName': 'Jewelry',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/jewelry_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4d7125bca4ef3704c18b14b3-85'}]}]}}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Prepare inputs to retrieve top 100 venues from this first neighborhood from Foursquare\n",
    "limit = 100\n",
    "radius = 500\n",
    "url = 'https://api.foursquare.com/v2/venues/explore?client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, VERSION, southpark_latitude, southpark_longitude, radius, limit)\n",
    "\n",
    "# Request URL from Foursquare\n",
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "94ba2981",
   "metadata": {},
   "outputs": [],
   "source": [
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7114687b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-15-561c05f0fdd1>:3: FutureWarning: pandas.io.json.json_normalize is deprecated, use pandas.json_normalize instead\n",
      "  nearby_venues = json_normalize(venues) # flatten JSON\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Whole Foods Market</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>35.147513</td>\n",
       "      <td>-80.830076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Original Pancake House</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>35.148328</td>\n",
       "      <td>-80.833284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HomeGoods</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>35.147320</td>\n",
       "      <td>-80.832516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Cafe Monte</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>35.147154</td>\n",
       "      <td>-80.828726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Oak Steakhouse</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>35.146634</td>\n",
       "      <td>-80.831118</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     name              categories        lat        lng\n",
       "0      Whole Foods Market           Grocery Store  35.147513 -80.830076\n",
       "1  Original Pancake House          Breakfast Spot  35.148328 -80.833284\n",
       "2               HomeGoods  Furniture / Home Store  35.147320 -80.832516\n",
       "3              Cafe Monte       French Restaurant  35.147154 -80.828726\n",
       "4          Oak Steakhouse              Steakhouse  35.146634 -80.831118"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues = results['response']['groups'][0]['items']\n",
    "    \n",
    "nearby_venues = json_normalize(venues) # flatten JSON\n",
    "\n",
    "# filter columns\n",
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
    "\n",
    "# filter the category for each row\n",
    "nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean columns\n",
    "nearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n",
    "\n",
    "nearby_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4d9e5023",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "86 venues were returned by Foursquare.\n"
     ]
    }
   ],
   "source": [
    "print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5223adfc",
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a function to repeat the same process to all the neighborhoods in Charlotte\n",
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5d8567e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dilworth\n",
      "Cotswold\n",
      "Coulwood\n",
      "Myers Park\n",
      "Highland Creek\n",
      "Paw Creek\n",
      "Ballantyne\n",
      "Mallard\n",
      "Starmount\n",
      "Parkdale\n",
      "Sedgefield\n",
      "Steele Creek\n",
      "South End\n",
      "Sherwood Forest\n",
      "Quail Hollow\n",
      "Elizabeth\n",
      "Eastland\n",
      "Reid Park\n",
      "NoDa\n",
      "University City\n",
      "Biddleville\n",
      "Chantilly\n",
      "SouthPark\n",
      "Plaza-Midwood\n",
      "Derita\n"
     ]
    }
   ],
   "source": [
    "# Run the above function on each neighborhood and create a new dataframe called charlotte_venues\n",
    "charlotte_venues = getNearbyVenues(names=df['Neighborhood'],\n",
    "                                   latitudes=df['Latitude'],\n",
    "                                   longitudes=df['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "58dd5aef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(394, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dilworth</td>\n",
       "      <td>35.206612</td>\n",
       "      <td>-80.850914</td>\n",
       "      <td>Latta Park</td>\n",
       "      <td>35.209426</td>\n",
       "      <td>-80.850290</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Dilworth</td>\n",
       "      <td>35.206612</td>\n",
       "      <td>-80.850914</td>\n",
       "      <td>Zen Massage Charlotte</td>\n",
       "      <td>35.204548</td>\n",
       "      <td>-80.847654</td>\n",
       "      <td>Massage Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dilworth</td>\n",
       "      <td>35.206612</td>\n",
       "      <td>-80.850914</td>\n",
       "      <td>PNC Bank</td>\n",
       "      <td>35.204583</td>\n",
       "      <td>-80.848619</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>35.175924</td>\n",
       "      <td>-80.798330</td>\n",
       "      <td>Krispy Kreme Doughnuts</td>\n",
       "      <td>35.176380</td>\n",
       "      <td>-80.797583</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>35.175924</td>\n",
       "      <td>-80.798330</td>\n",
       "      <td>The Pizza Peel and Tap Room</td>\n",
       "      <td>35.176726</td>\n",
       "      <td>-80.797906</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "0     Dilworth              35.206612              -80.850914   \n",
       "1     Dilworth              35.206612              -80.850914   \n",
       "2     Dilworth              35.206612              -80.850914   \n",
       "3     Cotswold              35.175924              -80.798330   \n",
       "4     Cotswold              35.175924              -80.798330   \n",
       "\n",
       "                         Venue  Venue Latitude  Venue Longitude  \\\n",
       "0                   Latta Park       35.209426       -80.850290   \n",
       "1        Zen Massage Charlotte       35.204548       -80.847654   \n",
       "2                     PNC Bank       35.204583       -80.848619   \n",
       "3       Krispy Kreme Doughnuts       35.176380       -80.797583   \n",
       "4  The Pizza Peel and Tap Room       35.176726       -80.797906   \n",
       "\n",
       "   Venue Category  \n",
       "0            Park  \n",
       "1  Massage Studio  \n",
       "2            Bank  \n",
       "3      Donut Shop  \n",
       "4     Pizza Place  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the size of this dataframe\n",
    "print(charlotte_venues.shape)\n",
    "\n",
    "charlotte_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "9f1dc8a7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "\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>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Ballantyne</th>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Biddleville</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chantilly</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cotswold</th>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coulwood</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Derita</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dilworth</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eastland</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elizabeth</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Highland Creek</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mallard</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Myers Park</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NoDa</th>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parkdale</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plaza-Midwood</th>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Quail Hollow</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reid Park</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sedgefield</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sherwood Forest</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South End</th>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SouthPark</th>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Starmount</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steele Creek</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University City</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Neighborhood Latitude  Neighborhood Longitude  Venue  \\\n",
       "Neighborhood                                                            \n",
       "Ballantyne                          58                      58     58   \n",
       "Biddleville                          3                       3      3   \n",
       "Chantilly                            6                       6      6   \n",
       "Cotswold                            44                      44     44   \n",
       "Coulwood                             5                       5      5   \n",
       "Derita                               1                       1      1   \n",
       "Dilworth                             3                       3      3   \n",
       "Eastland                             3                       3      3   \n",
       "Elizabeth                           24                      24     24   \n",
       "Highland Creek                       1                       1      1   \n",
       "Mallard                              1                       1      1   \n",
       "Myers Park                           4                       4      4   \n",
       "NoDa                                35                      35     35   \n",
       "Parkdale                            12                      12     12   \n",
       "Plaza-Midwood                       38                      38     38   \n",
       "Quail Hollow                         4                       4      4   \n",
       "Reid Park                            3                       3      3   \n",
       "Sedgefield                           2                       2      2   \n",
       "Sherwood Forest                      2                       2      2   \n",
       "South End                           52                      52     52   \n",
       "SouthPark                           86                      86     86   \n",
       "Starmount                            1                       1      1   \n",
       "Steele Creek                         1                       1      1   \n",
       "University City                      5                       5      5   \n",
       "\n",
       "                 Venue Latitude  Venue Longitude  Venue Category  \n",
       "Neighborhood                                                      \n",
       "Ballantyne                   58               58              58  \n",
       "Biddleville                   3                3               3  \n",
       "Chantilly                     6                6               6  \n",
       "Cotswold                     44               44              44  \n",
       "Coulwood                      5                5               5  \n",
       "Derita                        1                1               1  \n",
       "Dilworth                      3                3               3  \n",
       "Eastland                      3                3               3  \n",
       "Elizabeth                    24               24              24  \n",
       "Highland Creek                1                1               1  \n",
       "Mallard                       1                1               1  \n",
       "Myers Park                    4                4               4  \n",
       "NoDa                         35               35              35  \n",
       "Parkdale                     12               12              12  \n",
       "Plaza-Midwood                38               38              38  \n",
       "Quail Hollow                  4                4               4  \n",
       "Reid Park                     3                3               3  \n",
       "Sedgefield                    2                2               2  \n",
       "Sherwood Forest               2                2               2  \n",
       "South End                    52               52              52  \n",
       "SouthPark                    86               86              86  \n",
       "Starmount                     1                1               1  \n",
       "Steele Creek                  1                1               1  \n",
       "University City               5                5               5  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# How many venues per neighborhood\n",
    "charlotte_venues.groupby('Neighborhood').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "5fad1315",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 150 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "# How many unique categories from the returned venues?\n",
    "print('There are {} uniques categories.'.format(len(charlotte_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4b1b58f3",
   "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>Neighborhood</th>\n",
       "      <th>Accessories Store</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Arcade</th>\n",
       "      <th>Arts &amp; Crafts Store</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Automotive Shop</th>\n",
       "      <th>BBQ Joint</th>\n",
       "      <th>Bagel Shop</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>...</th>\n",
       "      <th>Track</th>\n",
       "      <th>Tram Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Video Store</th>\n",
       "      <th>Warehouse Store</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dilworth</td>\n",
       "      <td>0</td>\n",
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       "      <th>1</th>\n",
       "      <td>Dilworth</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dilworth</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",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Cotswold</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",
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       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Cotswold</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 151 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighborhood  Accessories Store  American Restaurant  Arcade  \\\n",
       "0     Dilworth                  0                    0       0   \n",
       "1     Dilworth                  0                    0       0   \n",
       "2     Dilworth                  0                    0       0   \n",
       "3     Cotswold                  0                    0       0   \n",
       "4     Cotswold                  0                    0       0   \n",
       "\n",
       "   Arts & Crafts Store  Asian Restaurant  Automotive Shop  BBQ Joint  \\\n",
       "0                    0                 0                0          0   \n",
       "1                    0                 0                0          0   \n",
       "2                    0                 0                0          0   \n",
       "3                    0                 0                0          0   \n",
       "4                    0                 0                0          0   \n",
       "\n",
       "   Bagel Shop  Bakery  ...  Track  Tram Station  \\\n",
       "0           0       0  ...      0             0   \n",
       "1           0       0  ...      0             0   \n",
       "2           0       0  ...      0             0   \n",
       "3           0       0  ...      0             0   \n",
       "4           0       0  ...      0             0   \n",
       "\n",
       "   Vegetarian / Vegan Restaurant  Video Game Store  Video Store  \\\n",
       "0                              0                 0            0   \n",
       "1                              0                 0            0   \n",
       "2                              0                 0            0   \n",
       "3                              0                 0            0   \n",
       "4                              0                 0            0   \n",
       "\n",
       "   Warehouse Store  Wine Bar  Wine Shop  Women's Store  Yoga Studio  \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",
       "[5 rows x 151 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Analyze each neighborhood\n",
    "\n",
    "# one hot encoding\n",
    "charlotte_onehot = pd.get_dummies(charlotte_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighborhood column back to dataframe\n",
    "charlotte_onehot['Neighborhood'] = charlotte_venues['Neighborhood'] \n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [charlotte_onehot.columns[-1]] + list(charlotte_onehot.columns[:-1])\n",
    "charlotte_onehot = charlotte_onehot[fixed_columns]\n",
    "\n",
    "charlotte_onehot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f958fd2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(394, 151)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# New dataframe size\n",
    "charlotte_onehot.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "4b82f844",
   "metadata": {},
   "outputs": [
    {
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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>Neighborhood</th>\n",
       "      <th>Accessories Store</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Arcade</th>\n",
       "      <th>Arts &amp; Crafts Store</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Automotive Shop</th>\n",
       "      <th>BBQ Joint</th>\n",
       "      <th>Bagel Shop</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>...</th>\n",
       "      <th>Track</th>\n",
       "      <th>Tram Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Video Store</th>\n",
       "      <th>Warehouse Store</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.034483</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.051724</td>\n",
       "      <td>0.017241</td>\n",
       "      <td>0.017241</td>\n",
       "      <td>0.017241</td>\n",
       "      <td>0.034483</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.034483</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Biddleville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chantilly</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Coulwood</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Derita</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Dilworth</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Eastland</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.041667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Highland Creek</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Mallard</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Myers Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.028571</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.026316</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.026316</td>\n",
       "      <td>0.026316</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.026316</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.026316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Quail Hollow</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Reid Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Sedgefield</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Sherwood Forest</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>South End</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.057692</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.038462</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.019231</td>\n",
       "      <td>0.038462</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.019231</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.019231</td>\n",
       "      <td>0.019231</td>\n",
       "      <td>0.019231</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>0.034884</td>\n",
       "      <td>0.058140</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011628</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.069767</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Starmount</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Steele Creek</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>University City</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24 rows × 151 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Neighborhood  Accessories Store  American Restaurant    Arcade  \\\n",
       "0        Ballantyne           0.000000             0.034483  0.000000   \n",
       "1       Biddleville           0.000000             0.000000  0.000000   \n",
       "2         Chantilly           0.000000             0.000000  0.333333   \n",
       "3          Cotswold           0.000000             0.000000  0.000000   \n",
       "4          Coulwood           0.000000             0.000000  0.000000   \n",
       "5            Derita           0.000000             0.000000  0.000000   \n",
       "6          Dilworth           0.000000             0.000000  0.000000   \n",
       "7          Eastland           0.000000             0.000000  0.000000   \n",
       "8         Elizabeth           0.000000             0.000000  0.000000   \n",
       "9    Highland Creek           0.000000             0.000000  0.000000   \n",
       "10          Mallard           0.000000             0.000000  0.000000   \n",
       "11       Myers Park           0.000000             0.000000  0.000000   \n",
       "12             NoDa           0.000000             0.000000  0.000000   \n",
       "13         Parkdale           0.000000             0.083333  0.000000   \n",
       "14    Plaza-Midwood           0.000000             0.026316  0.000000   \n",
       "15     Quail Hollow           0.000000             0.000000  0.000000   \n",
       "16        Reid Park           0.000000             0.000000  0.000000   \n",
       "17       Sedgefield           0.000000             0.000000  0.000000   \n",
       "18  Sherwood Forest           0.000000             0.000000  0.000000   \n",
       "19        South End           0.000000             0.057692  0.000000   \n",
       "20        SouthPark           0.034884             0.058140  0.000000   \n",
       "21        Starmount           0.000000             0.000000  0.000000   \n",
       "22     Steele Creek           0.000000             0.000000  0.000000   \n",
       "23  University City           0.000000             0.000000  0.000000   \n",
       "\n",
       "    Arts & Crafts Store  Asian Restaurant  Automotive Shop  BBQ Joint  \\\n",
       "0              0.000000          0.051724         0.017241   0.017241   \n",
       "1              0.000000          0.000000         0.000000   0.000000   \n",
       "2              0.000000          0.000000         0.000000   0.000000   \n",
       "3              0.022727          0.000000         0.000000   0.000000   \n",
       "4              0.000000          0.000000         0.000000   0.000000   \n",
       "5              0.000000          0.000000         0.000000   0.000000   \n",
       "6              0.000000          0.000000         0.000000   0.000000   \n",
       "7              0.000000          0.000000         0.000000   0.000000   \n",
       "8              0.000000          0.000000         0.000000   0.000000   \n",
       "9              0.000000          0.000000         0.000000   0.000000   \n",
       "10             0.000000          0.000000         0.000000   0.000000   \n",
       "11             0.000000          0.000000         0.000000   0.000000   \n",
       "12             0.028571          0.000000         0.000000   0.000000   \n",
       "13             0.000000          0.000000         0.000000   0.000000   \n",
       "14             0.026316          0.026316         0.000000   0.026316   \n",
       "15             0.000000          0.000000         0.000000   0.000000   \n",
       "16             0.000000          0.000000         0.000000   0.000000   \n",
       "17             0.000000          0.000000         0.000000   0.000000   \n",
       "18             0.000000          0.000000         0.000000   0.000000   \n",
       "19             0.000000          0.038462         0.000000   0.000000   \n",
       "20             0.011628          0.000000         0.000000   0.000000   \n",
       "21             0.000000          0.000000         0.000000   0.000000   \n",
       "22             0.000000          0.000000         0.000000   0.000000   \n",
       "23             0.000000          0.000000         0.000000   0.000000   \n",
       "\n",
       "    Bagel Shop    Bakery  ...  Track  Tram Station  \\\n",
       "0     0.017241  0.034483  ...   0.00      0.000000   \n",
       "1     0.000000  0.000000  ...   0.00      0.000000   \n",
       "2     0.000000  0.000000  ...   0.00      0.000000   \n",
       "3     0.022727  0.022727  ...   0.00      0.000000   \n",
       "4     0.000000  0.000000  ...   0.00      0.000000   \n",
       "5     0.000000  0.000000  ...   0.00      0.000000   \n",
       "6     0.000000  0.000000  ...   0.00      0.000000   \n",
       "7     0.000000  0.000000  ...   0.00      0.000000   \n",
       "8     0.000000  0.000000  ...   0.00      0.041667   \n",
       "9     0.000000  0.000000  ...   0.00      0.000000   \n",
       "10    0.000000  0.000000  ...   0.00      0.000000   \n",
       "11    0.250000  0.000000  ...   0.25      0.000000   \n",
       "12    0.000000  0.000000  ...   0.00      0.000000   \n",
       "13    0.000000  0.000000  ...   0.00      0.000000   \n",
       "14    0.000000  0.000000  ...   0.00      0.000000   \n",
       "15    0.000000  0.000000  ...   0.00      0.000000   \n",
       "16    0.000000  0.000000  ...   0.00      0.000000   \n",
       "17    0.000000  0.000000  ...   0.00      0.000000   \n",
       "18    0.000000  0.000000  ...   0.00      0.000000   \n",
       "19    0.019231  0.038462  ...   0.00      0.000000   \n",
       "20    0.000000  0.011628  ...   0.00      0.000000   \n",
       "21    0.000000  0.000000  ...   0.00      0.000000   \n",
       "22    0.000000  0.000000  ...   0.00      0.000000   \n",
       "23    0.000000  0.000000  ...   0.00      0.000000   \n",
       "\n",
       "    Vegetarian / Vegan Restaurant  Video Game Store  Video Store  \\\n",
       "0                        0.000000          0.000000     0.034483   \n",
       "1                        0.000000          0.000000     0.000000   \n",
       "2                        0.000000          0.000000     0.000000   \n",
       "3                        0.000000          0.022727     0.022727   \n",
       "4                        0.000000          0.000000     0.000000   \n",
       "5                        0.000000          0.000000     0.000000   \n",
       "6                        0.000000          0.000000     0.000000   \n",
       "7                        0.000000          0.000000     0.000000   \n",
       "8                        0.000000          0.000000     0.000000   \n",
       "9                        0.000000          0.000000     0.000000   \n",
       "10                       0.000000          0.000000     0.000000   \n",
       "11                       0.000000          0.000000     0.000000   \n",
       "12                       0.000000          0.000000     0.000000   \n",
       "13                       0.000000          0.000000     0.000000   \n",
       "14                       0.000000          0.000000     0.000000   \n",
       "15                       0.000000          0.000000     0.000000   \n",
       "16                       0.000000          0.000000     0.000000   \n",
       "17                       0.000000          0.000000     0.000000   \n",
       "18                       0.000000          0.000000     0.000000   \n",
       "19                       0.019231          0.000000     0.000000   \n",
       "20                       0.011628          0.000000     0.000000   \n",
       "21                       0.000000          0.000000     0.000000   \n",
       "22                       0.000000          0.000000     0.000000   \n",
       "23                       0.000000          0.000000     0.000000   \n",
       "\n",
       "    Warehouse Store  Wine Bar  Wine Shop  Women's Store  Yoga Studio  \n",
       "0               0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "1               0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "2               0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "3               0.0  0.000000   0.000000       0.000000     0.022727  \n",
       "4               0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "5               0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "6               0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "7               0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "8               0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "9               0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "10              0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "11              0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "12              0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "13              0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "14              0.0  0.000000   0.000000       0.000000     0.026316  \n",
       "15              0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "16              0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "17              0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "18              0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "19              0.0  0.019231   0.019231       0.019231     0.000000  \n",
       "20              0.0  0.000000   0.000000       0.069767     0.000000  \n",
       "21              0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "22              0.0  0.000000   0.000000       0.000000     0.000000  \n",
       "23              0.2  0.000000   0.000000       0.000000     0.000000  \n",
       "\n",
       "[24 rows x 151 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Group rows by neighborhood and take the mean of the frequency of occurrence of each category\n",
    "charlotte_grouped = charlotte_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "charlotte_grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bbc1e1da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(24, 151)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Confirm new size\n",
    "charlotte_grouped.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "a64e95d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Ballantyne----\n",
      "              venue  freq\n",
      "0       Pizza Place  0.07\n",
      "1  Asian Restaurant  0.05\n",
      "2       Coffee Shop  0.03\n",
      "3               Pub  0.03\n",
      "4               Spa  0.03\n",
      "\n",
      "\n",
      "----Biddleville----\n",
      "                     venue  freq\n",
      "0                     Café  0.33\n",
      "1      Fried Chicken Joint  0.33\n",
      "2                    Beach  0.33\n",
      "3        Accessories Store  0.00\n",
      "4  New American Restaurant  0.00\n",
      "\n",
      "\n",
      "----Chantilly----\n",
      "                venue  freq\n",
      "0              Arcade  0.33\n",
      "1  Light Rail Station  0.17\n",
      "2           Nightclub  0.17\n",
      "3      Nightlife Spot  0.17\n",
      "4          Food Stand  0.17\n",
      "\n",
      "\n",
      "----Cotswold----\n",
      "                    venue  freq\n",
      "0             Pizza Place  0.07\n",
      "1          Cosmetics Shop  0.07\n",
      "2  Furniture / Home Store  0.05\n",
      "3    Fast Food Restaurant  0.05\n",
      "4                    Bank  0.05\n",
      "\n",
      "\n",
      "----Coulwood----\n",
      "                             venue  freq\n",
      "0                   Baseball Field   0.2\n",
      "1                      Gas Station   0.2\n",
      "2                        Gastropub   0.2\n",
      "3                         Pharmacy   0.2\n",
      "4  Southern / Soul Food Restaurant   0.2\n",
      "\n",
      "\n",
      "----Derita----\n",
      "                     venue  freq\n",
      "0            Garden Center   1.0\n",
      "1        Accessories Store   0.0\n",
      "2    Performing Arts Venue   0.0\n",
      "3  New American Restaurant   0.0\n",
      "4                Nightclub   0.0\n",
      "\n",
      "\n",
      "----Dilworth----\n",
      "                 venue  freq\n",
      "0       Massage Studio  0.33\n",
      "1                 Park  0.33\n",
      "2                 Bank  0.33\n",
      "3    Accessories Store  0.00\n",
      "4  Peruvian Restaurant  0.00\n",
      "\n",
      "\n",
      "----Eastland----\n",
      "                  venue  freq\n",
      "0     Convenience Store  0.33\n",
      "1  Gym / Fitness Center  0.33\n",
      "2                  Bank  0.33\n",
      "3     Accessories Store  0.00\n",
      "4             Pet Store  0.00\n",
      "\n",
      "\n",
      "----Elizabeth----\n",
      "                     venue  freq\n",
      "0  New American Restaurant  0.12\n",
      "1                     Park  0.08\n",
      "2                  Stadium  0.08\n",
      "3                Bike Shop  0.04\n",
      "4                Rock Club  0.04\n",
      "\n",
      "\n",
      "----Highland Creek----\n",
      "                 venue  freq\n",
      "0     Basketball Court   1.0\n",
      "1    Accessories Store   0.0\n",
      "2  Peruvian Restaurant   0.0\n",
      "3            Nightclub   0.0\n",
      "4       Nightlife Spot   0.0\n",
      "\n",
      "\n",
      "----Mallard----\n",
      "                     venue  freq\n",
      "0                    Plaza   1.0\n",
      "1        Accessories Store   0.0\n",
      "2    Performing Arts Venue   0.0\n",
      "3  New American Restaurant   0.0\n",
      "4                Nightclub   0.0\n",
      "\n",
      "\n",
      "----Myers Park----\n",
      "                        venue  freq\n",
      "0                  Bagel Shop  0.25\n",
      "1  Financial or Legal Service  0.25\n",
      "2          College Auditorium  0.25\n",
      "3                       Track  0.25\n",
      "4           Accessories Store  0.00\n",
      "\n",
      "\n",
      "----NoDa----\n",
      "               venue  freq\n",
      "0                Bar  0.11\n",
      "1            Brewery  0.09\n",
      "2          Gastropub  0.06\n",
      "3         Sports Bar  0.06\n",
      "4  Food & Drink Shop  0.03\n",
      "\n",
      "\n",
      "----Parkdale----\n",
      "                 venue  freq\n",
      "0                  Spa  0.17\n",
      "1        Grocery Store  0.08\n",
      "2   Italian Restaurant  0.08\n",
      "3  American Restaurant  0.08\n",
      "4   Salon / Barbershop  0.08\n",
      "\n",
      "\n",
      "----Plaza-Midwood----\n",
      "         venue  freq\n",
      "0          Bar  0.11\n",
      "1  Pizza Place  0.08\n",
      "2    Gastropub  0.05\n",
      "3      Brewery  0.05\n",
      "4    Pool Hall  0.03\n",
      "\n",
      "\n",
      "----Quail Hollow----\n",
      "                     venue  freq\n",
      "0              Golf Course  0.75\n",
      "1       Golf Driving Range  0.25\n",
      "2        Accessories Store  0.00\n",
      "3              Music Store  0.00\n",
      "4  New American Restaurant  0.00\n",
      "\n",
      "\n",
      "----Reid Park----\n",
      "                 venue  freq\n",
      "0         Intersection  0.33\n",
      "1       Discount Store  0.33\n",
      "2  Fried Chicken Joint  0.33\n",
      "3    Accessories Store  0.00\n",
      "4  Peruvian Restaurant  0.00\n",
      "\n",
      "\n",
      "----Sedgefield----\n",
      "                   venue  freq\n",
      "0              Speakeasy   0.5\n",
      "1                   Food   0.5\n",
      "2      Accessories Store   0.0\n",
      "3  Performing Arts Venue   0.0\n",
      "4              Nightclub   0.0\n",
      "\n",
      "\n",
      "----Sherwood Forest----\n",
      "               venue  freq\n",
      "0   Business Service   0.5\n",
      "1  Convenience Store   0.5\n",
      "2  Accessories Store   0.0\n",
      "3          Pet Store   0.0\n",
      "4     Nightlife Spot   0.0\n",
      "\n",
      "\n",
      "----South End----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.06\n",
      "1  American Restaurant  0.06\n",
      "2               Bakery  0.04\n",
      "3      Thai Restaurant  0.04\n",
      "4                  Bar  0.04\n",
      "\n",
      "\n",
      "----SouthPark----\n",
      "                 venue  freq\n",
      "0       Clothing Store  0.08\n",
      "1        Women's Store  0.07\n",
      "2  American Restaurant  0.06\n",
      "3        Jewelry Store  0.05\n",
      "4          Coffee Shop  0.05\n",
      "\n",
      "\n",
      "----Starmount----\n",
      "                     venue  freq\n",
      "0                     Pool   1.0\n",
      "1        Accessories Store   0.0\n",
      "2    Performing Arts Venue   0.0\n",
      "3  New American Restaurant   0.0\n",
      "4                Nightclub   0.0\n",
      "\n",
      "\n",
      "----Steele Creek----\n",
      "                     venue  freq\n",
      "0         Department Store   1.0\n",
      "1      Peruvian Restaurant   0.0\n",
      "2  New American Restaurant   0.0\n",
      "3                Nightclub   0.0\n",
      "4           Nightlife Spot   0.0\n",
      "\n",
      "\n",
      "----University City----\n",
      "                    venue  freq\n",
      "0                 Brewery   0.2\n",
      "1         Warehouse Store   0.2\n",
      "2  Furniture / Home Store   0.2\n",
      "3    Gym / Fitness Center   0.2\n",
      "4             Music Store   0.2\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Print each neighborhood along with the top 5 most common venues\n",
    "num_top_venues = 5\n",
    "\n",
    "for hood in charlotte_grouped['Neighborhood']:\n",
    "    print(\"----\"+hood+\"----\")\n",
    "    temp = charlotte_grouped[charlotte_grouped['Neighborhood'] == hood].T.reset_index()\n",
    "    temp.columns = ['venue','freq']\n",
    "    temp = temp.iloc[1:]\n",
    "    temp['freq'] = temp['freq'].astype(float)\n",
    "    temp = temp.round({'freq': 2})\n",
    "    print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "917bae51",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function to sort venues into descending order\n",
    "def return_most_common_venues(row, num_top_venues):\n",
    "    row_categories = row.iloc[1:]\n",
    "    row_categories_sorted = row_categories.sort_values(ascending=False)\n",
    "    \n",
    "    return row_categories_sorted.index.values[0:num_top_venues]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "2a28ff18",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\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>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Biddleville</td>\n",
       "      <td>Café</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chantilly</td>\n",
       "      <td>Arcade</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Food Stand</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Coulwood</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Derita</td>\n",
       "      <td>Garden Center</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Dilworth</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Eastland</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Stadium</td>\n",
       "      <td>Bike Shop</td>\n",
       "      <td>Rock Club</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>College Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Highland Creek</td>\n",
       "      <td>Basketball Court</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Pet Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Mallard</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Myers Park</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Financial or Legal Service</td>\n",
       "      <td>College Auditorium</td>\n",
       "      <td>Track</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Concert Hall</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Flower Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Pool Hall</td>\n",
       "      <td>Dive Bar</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Spa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Quail Hollow</td>\n",
       "      <td>Golf Course</td>\n",
       "      <td>Golf Driving Range</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Music Store</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Reid Park</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Sedgefield</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Food</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Sherwood Forest</td>\n",
       "      <td>Business Service</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>South End</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Lingerie Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Starmount</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Steele Creek</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Accessories Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>University City</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Warehouse Store</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Music Store</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pool Hall</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Neighborhood    1st Most Common Venue       2nd Most Common Venue  \\\n",
       "0        Ballantyne              Pizza Place            Asian Restaurant   \n",
       "1       Biddleville                     Café         Fried Chicken Joint   \n",
       "2         Chantilly                   Arcade          Light Rail Station   \n",
       "3          Cotswold              Pizza Place              Cosmetics Shop   \n",
       "4          Coulwood           Baseball Field                 Gas Station   \n",
       "5            Derita            Garden Center           Accessories Store   \n",
       "6          Dilworth           Massage Studio                        Park   \n",
       "7          Eastland        Convenience Store        Gym / Fitness Center   \n",
       "8         Elizabeth  New American Restaurant                        Park   \n",
       "9    Highland Creek         Basketball Court           Accessories Store   \n",
       "10          Mallard                    Plaza           Accessories Store   \n",
       "11       Myers Park               Bagel Shop  Financial or Legal Service   \n",
       "12             NoDa                      Bar                     Brewery   \n",
       "13         Parkdale                      Spa               Grocery Store   \n",
       "14    Plaza-Midwood                      Bar                 Pizza Place   \n",
       "15     Quail Hollow              Golf Course          Golf Driving Range   \n",
       "16        Reid Park             Intersection              Discount Store   \n",
       "17       Sedgefield                Speakeasy                        Food   \n",
       "18  Sherwood Forest         Business Service           Convenience Store   \n",
       "19        South End              Coffee Shop         American Restaurant   \n",
       "20        SouthPark           Clothing Store               Women's Store   \n",
       "21        Starmount                     Pool           Accessories Store   \n",
       "22     Steele Creek         Department Store         Peruvian Restaurant   \n",
       "23  University City                  Brewery             Warehouse Store   \n",
       "\n",
       "      3rd Most Common Venue    4th Most Common Venue  \\\n",
       "0               Coffee Shop                      Pub   \n",
       "1                     Beach        Accessories Store   \n",
       "2                 Nightclub           Nightlife Spot   \n",
       "3    Furniture / Home Store     Fast Food Restaurant   \n",
       "4                 Gastropub                 Pharmacy   \n",
       "5     Performing Arts Venue  New American Restaurant   \n",
       "6                      Bank        Accessories Store   \n",
       "7                      Bank        Accessories Store   \n",
       "8                   Stadium                Bike Shop   \n",
       "9       Peruvian Restaurant                Nightclub   \n",
       "10    Performing Arts Venue  New American Restaurant   \n",
       "11       College Auditorium                    Track   \n",
       "12                Gastropub               Sports Bar   \n",
       "13       Italian Restaurant      American Restaurant   \n",
       "14                Gastropub                  Brewery   \n",
       "15        Accessories Store              Music Store   \n",
       "16      Fried Chicken Joint        Accessories Store   \n",
       "17        Accessories Store    Performing Arts Venue   \n",
       "18        Accessories Store                Pet Store   \n",
       "19                   Bakery          Thai Restaurant   \n",
       "20      American Restaurant            Jewelry Store   \n",
       "21    Performing Arts Venue  New American Restaurant   \n",
       "22  New American Restaurant                Nightclub   \n",
       "23   Furniture / Home Store     Gym / Fitness Center   \n",
       "\n",
       "              5th Most Common Venue 6th Most Common Venue  \\\n",
       "0                               Spa     Mobile Phone Shop   \n",
       "1           New American Restaurant        Nightlife Spot   \n",
       "2                        Food Stand     Accessories Store   \n",
       "3                              Bank              Pharmacy   \n",
       "4   Southern / Soul Food Restaurant     Accessories Store   \n",
       "5                         Nightclub        Nightlife Spot   \n",
       "6               Peruvian Restaurant             Nightclub   \n",
       "7                         Pet Store        Nightlife Spot   \n",
       "8                         Rock Club        Sandwich Place   \n",
       "9                    Nightlife Spot          Noodle House   \n",
       "10                        Nightclub        Nightlife Spot   \n",
       "11                Accessories Store             Pet Store   \n",
       "12                Food & Drink Shop  Gym / Fitness Center   \n",
       "13               Salon / Barbershop    Mexican Restaurant   \n",
       "14                        Pool Hall              Dive Bar   \n",
       "15          New American Restaurant             Nightclub   \n",
       "16              Peruvian Restaurant        Nightlife Spot   \n",
       "17                        Nightclub        Nightlife Spot   \n",
       "18                   Nightlife Spot          Noodle House   \n",
       "19                              Bar            Restaurant   \n",
       "20                      Coffee Shop      Department Store   \n",
       "21                        Nightclub        Nightlife Spot   \n",
       "22                   Nightlife Spot          Noodle House   \n",
       "23                      Music Store                  Pool   \n",
       "\n",
       "   7th Most Common Venue            8th Most Common Venue  \\\n",
       "0      Indian Restaurant                           Bakery   \n",
       "1           Noodle House                     Optical Shop   \n",
       "2           Noodle House                     Optical Shop   \n",
       "3            Supermarket                      Coffee Shop   \n",
       "4              Nightclub                   Nightlife Spot   \n",
       "5           Noodle House                     Optical Shop   \n",
       "6         Nightlife Spot                     Noodle House   \n",
       "7           Noodle House                     Optical Shop   \n",
       "8          Deli / Bodega                      Pizza Place   \n",
       "9           Optical Shop                             Park   \n",
       "10          Noodle House                     Optical Shop   \n",
       "11        Nightlife Spot                     Noodle House   \n",
       "12          Concert Hall            Performing Arts Venue   \n",
       "13                   Bar                              Gym   \n",
       "14            Food Truck  Southern / Soul Food Restaurant   \n",
       "15        Nightlife Spot                     Noodle House   \n",
       "16          Noodle House                     Optical Shop   \n",
       "17          Noodle House                     Optical Shop   \n",
       "18          Optical Shop                             Park   \n",
       "19           Pizza Place                 Asian Restaurant   \n",
       "20              Boutique                   Cosmetics Shop   \n",
       "21          Noodle House                     Optical Shop   \n",
       "22          Optical Shop                             Park   \n",
       "23                 Plaza                      Pizza Place   \n",
       "\n",
       "    9th Most Common Venue  10th Most Common Venue  \n",
       "0     American Restaurant            Burger Joint  \n",
       "1                    Park   Performing Arts Venue  \n",
       "2                    Park   Performing Arts Venue  \n",
       "3       Convenience Store        Department Store  \n",
       "4            Noodle House            Optical Shop  \n",
       "5                    Park     Peruvian Restaurant  \n",
       "6            Optical Shop   Performing Arts Venue  \n",
       "7                    Park   Performing Arts Venue  \n",
       "8     Peruvian Restaurant         College Theater  \n",
       "9   Performing Arts Venue               Pet Store  \n",
       "10                   Park     Peruvian Restaurant  \n",
       "11           Optical Shop                    Park  \n",
       "12              Gift Shop            Dessert Shop  \n",
       "13         Massage Studio             Flower Shop  \n",
       "14          Deli / Bodega                     Spa  \n",
       "15           Optical Shop                    Park  \n",
       "16                   Park   Performing Arts Venue  \n",
       "17                   Park     Peruvian Restaurant  \n",
       "18  Performing Arts Venue     Peruvian Restaurant  \n",
       "19      French Restaurant  Furniture / Home Store  \n",
       "20      Accessories Store          Lingerie Store  \n",
       "21                   Park     Peruvian Restaurant  \n",
       "22  Performing Arts Venue       Accessories Store  \n",
       "23              Pool Hall                Pharmacy  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create the new dataframe and display the top 10 venues for each neighborhood\n",
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['Neighborhood']\n",
    "for ind in np.arange(num_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = charlotte_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(charlotte_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(charlotte_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "1188fd3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 2, 14, 12,  2,  2,  1,  9, 11,  2,  5,  3,  0,  2,  2,  2],\n",
       "      dtype=int32)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster Neighborhoods\n",
    "\n",
    "# set number of clusters\n",
    "# Having tried kclusters at 7 and 10 which had most of the neighborhoods in one category\n",
    "# I found that 15 works well for this exercise, giving a large enough cluster to focus on \n",
    "# for further processing\n",
    "kclusters = 15\n",
    "\n",
    "charlotte_grouped_clustering = charlotte_grouped.drop('Neighborhood', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(charlotte_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:15] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "808f1538",
   "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>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dilworth</td>\n",
       "      <td>35.206612</td>\n",
       "      <td>-80.850914</td>\n",
       "      <td>9</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>35.175924</td>\n",
       "      <td>-80.798330</td>\n",
       "      <td>2</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Coulwood</td>\n",
       "      <td>35.304209</td>\n",
       "      <td>-80.936693</td>\n",
       "      <td>2</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Myers Park</td>\n",
       "      <td>35.191735</td>\n",
       "      <td>-80.833489</td>\n",
       "      <td>0</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Financial or Legal Service</td>\n",
       "      <td>College Auditorium</td>\n",
       "      <td>Track</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Highland Creek</td>\n",
       "      <td>35.386623</td>\n",
       "      <td>-80.760504</td>\n",
       "      <td>5</td>\n",
       "      <td>Basketball Court</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Pet Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>35.054659</td>\n",
       "      <td>-80.850246</td>\n",
       "      <td>2</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Mallard</td>\n",
       "      <td>35.340920</td>\n",
       "      <td>-80.783890</td>\n",
       "      <td>3</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Starmount</td>\n",
       "      <td>35.138258</td>\n",
       "      <td>-80.868383</td>\n",
       "      <td>7</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>35.158287</td>\n",
       "      <td>-80.845661</td>\n",
       "      <td>2</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Flower Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Sedgefield</td>\n",
       "      <td>35.192921</td>\n",
       "      <td>-80.863405</td>\n",
       "      <td>10</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Food</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Steele Creek</td>\n",
       "      <td>35.144098</td>\n",
       "      <td>-80.978967</td>\n",
       "      <td>4</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Accessories Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Sherwood Forest</td>\n",
       "      <td>35.170934</td>\n",
       "      <td>-80.783725</td>\n",
       "      <td>13</td>\n",
       "      <td>Business Service</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Quail Hollow</td>\n",
       "      <td>35.118674</td>\n",
       "      <td>-80.839970</td>\n",
       "      <td>6</td>\n",
       "      <td>Golf Course</td>\n",
       "      <td>Golf Driving Range</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Music Store</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>35.216970</td>\n",
       "      <td>-80.827582</td>\n",
       "      <td>2</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Stadium</td>\n",
       "      <td>Bike Shop</td>\n",
       "      <td>Rock Club</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>College Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Eastland</td>\n",
       "      <td>35.208821</td>\n",
       "      <td>-80.751326</td>\n",
       "      <td>11</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Reid Park</td>\n",
       "      <td>35.210947</td>\n",
       "      <td>-80.903305</td>\n",
       "      <td>8</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>35.246994</td>\n",
       "      <td>-80.805777</td>\n",
       "      <td>2</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Concert Hall</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>University City</td>\n",
       "      <td>35.317114</td>\n",
       "      <td>-80.752940</td>\n",
       "      <td>2</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Warehouse Store</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Music Store</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pool Hall</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Biddleville</td>\n",
       "      <td>35.245043</td>\n",
       "      <td>-80.857348</td>\n",
       "      <td>14</td>\n",
       "      <td>Café</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Chantilly</td>\n",
       "      <td>35.213754</td>\n",
       "      <td>-80.810071</td>\n",
       "      <td>12</td>\n",
       "      <td>Arcade</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Food Stand</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>2</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Lingerie Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>35.220271</td>\n",
       "      <td>-80.810849</td>\n",
       "      <td>2</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Pool Hall</td>\n",
       "      <td>Dive Bar</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Spa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Derita</td>\n",
       "      <td>35.283313</td>\n",
       "      <td>-80.819286</td>\n",
       "      <td>1</td>\n",
       "      <td>Garden Center</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Neighborhood   Latitude  Longitude  Cluster Labels  \\\n",
       "0          Dilworth  35.206612 -80.850914               9   \n",
       "1          Cotswold  35.175924 -80.798330               2   \n",
       "2          Coulwood  35.304209 -80.936693               2   \n",
       "3        Myers Park  35.191735 -80.833489               0   \n",
       "4    Highland Creek  35.386623 -80.760504               5   \n",
       "6        Ballantyne  35.054659 -80.850246               2   \n",
       "7           Mallard  35.340920 -80.783890               3   \n",
       "8         Starmount  35.138258 -80.868383               7   \n",
       "9          Parkdale  35.158287 -80.845661               2   \n",
       "10       Sedgefield  35.192921 -80.863405              10   \n",
       "11     Steele Creek  35.144098 -80.978967               4   \n",
       "12        South End  35.212623 -80.858840               2   \n",
       "13  Sherwood Forest  35.170934 -80.783725              13   \n",
       "14     Quail Hollow  35.118674 -80.839970               6   \n",
       "15        Elizabeth  35.216970 -80.827582               2   \n",
       "16         Eastland  35.208821 -80.751326              11   \n",
       "17        Reid Park  35.210947 -80.903305               8   \n",
       "18             NoDa  35.246994 -80.805777               2   \n",
       "19  University City  35.317114 -80.752940               2   \n",
       "20      Biddleville  35.245043 -80.857348              14   \n",
       "21        Chantilly  35.213754 -80.810071              12   \n",
       "22        SouthPark  35.148434 -80.830910               2   \n",
       "23    Plaza-Midwood  35.220271 -80.810849               2   \n",
       "24           Derita  35.283313 -80.819286               1   \n",
       "\n",
       "      1st Most Common Venue       2nd Most Common Venue  \\\n",
       "0            Massage Studio                        Park   \n",
       "1               Pizza Place              Cosmetics Shop   \n",
       "2            Baseball Field                 Gas Station   \n",
       "3                Bagel Shop  Financial or Legal Service   \n",
       "4          Basketball Court           Accessories Store   \n",
       "6               Pizza Place            Asian Restaurant   \n",
       "7                     Plaza           Accessories Store   \n",
       "8                      Pool           Accessories Store   \n",
       "9                       Spa               Grocery Store   \n",
       "10                Speakeasy                        Food   \n",
       "11         Department Store         Peruvian Restaurant   \n",
       "12              Coffee Shop         American Restaurant   \n",
       "13         Business Service           Convenience Store   \n",
       "14              Golf Course          Golf Driving Range   \n",
       "15  New American Restaurant                        Park   \n",
       "16        Convenience Store        Gym / Fitness Center   \n",
       "17             Intersection              Discount Store   \n",
       "18                      Bar                     Brewery   \n",
       "19                  Brewery             Warehouse Store   \n",
       "20                     Café         Fried Chicken Joint   \n",
       "21                   Arcade          Light Rail Station   \n",
       "22           Clothing Store               Women's Store   \n",
       "23                      Bar                 Pizza Place   \n",
       "24            Garden Center           Accessories Store   \n",
       "\n",
       "      3rd Most Common Venue    4th Most Common Venue  \\\n",
       "0                      Bank        Accessories Store   \n",
       "1    Furniture / Home Store     Fast Food Restaurant   \n",
       "2                 Gastropub                 Pharmacy   \n",
       "3        College Auditorium                    Track   \n",
       "4       Peruvian Restaurant                Nightclub   \n",
       "6               Coffee Shop                      Pub   \n",
       "7     Performing Arts Venue  New American Restaurant   \n",
       "8     Performing Arts Venue  New American Restaurant   \n",
       "9        Italian Restaurant      American Restaurant   \n",
       "10        Accessories Store    Performing Arts Venue   \n",
       "11  New American Restaurant                Nightclub   \n",
       "12                   Bakery          Thai Restaurant   \n",
       "13        Accessories Store                Pet Store   \n",
       "14        Accessories Store              Music Store   \n",
       "15                  Stadium                Bike Shop   \n",
       "16                     Bank        Accessories Store   \n",
       "17      Fried Chicken Joint        Accessories Store   \n",
       "18                Gastropub               Sports Bar   \n",
       "19   Furniture / Home Store     Gym / Fitness Center   \n",
       "20                    Beach        Accessories Store   \n",
       "21                Nightclub           Nightlife Spot   \n",
       "22      American Restaurant            Jewelry Store   \n",
       "23                Gastropub                  Brewery   \n",
       "24    Performing Arts Venue  New American Restaurant   \n",
       "\n",
       "              5th Most Common Venue 6th Most Common Venue  \\\n",
       "0               Peruvian Restaurant             Nightclub   \n",
       "1                              Bank              Pharmacy   \n",
       "2   Southern / Soul Food Restaurant     Accessories Store   \n",
       "3                 Accessories Store             Pet Store   \n",
       "4                    Nightlife Spot          Noodle House   \n",
       "6                               Spa     Mobile Phone Shop   \n",
       "7                         Nightclub        Nightlife Spot   \n",
       "8                         Nightclub        Nightlife Spot   \n",
       "9                Salon / Barbershop    Mexican Restaurant   \n",
       "10                        Nightclub        Nightlife Spot   \n",
       "11                   Nightlife Spot          Noodle House   \n",
       "12                              Bar            Restaurant   \n",
       "13                   Nightlife Spot          Noodle House   \n",
       "14          New American Restaurant             Nightclub   \n",
       "15                        Rock Club        Sandwich Place   \n",
       "16                        Pet Store        Nightlife Spot   \n",
       "17              Peruvian Restaurant        Nightlife Spot   \n",
       "18                Food & Drink Shop  Gym / Fitness Center   \n",
       "19                      Music Store                  Pool   \n",
       "20          New American Restaurant        Nightlife Spot   \n",
       "21                       Food Stand     Accessories Store   \n",
       "22                      Coffee Shop      Department Store   \n",
       "23                        Pool Hall              Dive Bar   \n",
       "24                        Nightclub        Nightlife Spot   \n",
       "\n",
       "   7th Most Common Venue            8th Most Common Venue  \\\n",
       "0         Nightlife Spot                     Noodle House   \n",
       "1            Supermarket                      Coffee Shop   \n",
       "2              Nightclub                   Nightlife Spot   \n",
       "3         Nightlife Spot                     Noodle House   \n",
       "4           Optical Shop                             Park   \n",
       "6      Indian Restaurant                           Bakery   \n",
       "7           Noodle House                     Optical Shop   \n",
       "8           Noodle House                     Optical Shop   \n",
       "9                    Bar                              Gym   \n",
       "10          Noodle House                     Optical Shop   \n",
       "11          Optical Shop                             Park   \n",
       "12           Pizza Place                 Asian Restaurant   \n",
       "13          Optical Shop                             Park   \n",
       "14        Nightlife Spot                     Noodle House   \n",
       "15         Deli / Bodega                      Pizza Place   \n",
       "16          Noodle House                     Optical Shop   \n",
       "17          Noodle House                     Optical Shop   \n",
       "18          Concert Hall            Performing Arts Venue   \n",
       "19                 Plaza                      Pizza Place   \n",
       "20          Noodle House                     Optical Shop   \n",
       "21          Noodle House                     Optical Shop   \n",
       "22              Boutique                   Cosmetics Shop   \n",
       "23            Food Truck  Southern / Soul Food Restaurant   \n",
       "24          Noodle House                     Optical Shop   \n",
       "\n",
       "    9th Most Common Venue  10th Most Common Venue  \n",
       "0            Optical Shop   Performing Arts Venue  \n",
       "1       Convenience Store        Department Store  \n",
       "2            Noodle House            Optical Shop  \n",
       "3            Optical Shop                    Park  \n",
       "4   Performing Arts Venue               Pet Store  \n",
       "6     American Restaurant            Burger Joint  \n",
       "7                    Park     Peruvian Restaurant  \n",
       "8                    Park     Peruvian Restaurant  \n",
       "9          Massage Studio             Flower Shop  \n",
       "10                   Park     Peruvian Restaurant  \n",
       "11  Performing Arts Venue       Accessories Store  \n",
       "12      French Restaurant  Furniture / Home Store  \n",
       "13  Performing Arts Venue     Peruvian Restaurant  \n",
       "14           Optical Shop                    Park  \n",
       "15    Peruvian Restaurant         College Theater  \n",
       "16                   Park   Performing Arts Venue  \n",
       "17                   Park   Performing Arts Venue  \n",
       "18              Gift Shop            Dessert Shop  \n",
       "19              Pool Hall                Pharmacy  \n",
       "20                   Park   Performing Arts Venue  \n",
       "21                   Park   Performing Arts Venue  \n",
       "22      Accessories Store          Lingerie Store  \n",
       "23          Deli / Bodega                     Spa  \n",
       "24                   Park     Peruvian Restaurant  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a new dataframe that includes the cluster as well as the top 10 venues for each neighborhood\n",
    "\n",
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "charlotte_merged = df\n",
    "\n",
    "# merge charlotte_grouped with charlotte_data to add latitude/longitude for each neighborhood\n",
    "charlotte_merged = charlotte_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n",
    "\n",
    "# Paw Creek has NaN entries so drop it from the dataframe\n",
    "charlotte_merged.dropna(inplace=True)\n",
    "\n",
    "# convert the 'Cluster Labels' column to integer otherwise mapping colors don't work\n",
    "charlotte_merged['Cluster Labels'] = charlotte_merged['Cluster Labels'].astype(int)\n",
    "\n",
    "charlotte_merged # check the last columns!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "0a0a2d17",
   "metadata": {},
   "outputs": [
    {
     "data": {
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onload=\"this.contentDocument.open();this.contentDocument.write(    decodeURIComponent(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f8df1415af0>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualize the resulting clusters\n",
    "\n",
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(charlotte_merged['Latitude'], charlotte_merged['Longitude'], charlotte_merged['Neighborhood'], charlotte_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "942223f5",
   "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>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Myers Park</td>\n",
       "      <td>0</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Financial or Legal Service</td>\n",
       "      <td>College Auditorium</td>\n",
       "      <td>Track</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighborhood  Cluster Labels 1st Most Common Venue  \\\n",
       "3   Myers Park               0            Bagel Shop   \n",
       "\n",
       "        2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "3  Financial or Legal Service    College Auditorium                 Track   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "3     Accessories Store             Pet Store        Nightlife Spot   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "3          Noodle House          Optical Shop                   Park  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Examine Clusters\n",
    "\n",
    "# Cluster 1\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 0, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "ecbd2d1b",
   "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>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Derita</td>\n",
       "      <td>1</td>\n",
       "      <td>Garden Center</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Neighborhood  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "24       Derita               1         Garden Center     Accessories Store   \n",
       "\n",
       "    3rd Most Common Venue    4th Most Common Venue 5th Most Common Venue  \\\n",
       "24  Performing Arts Venue  New American Restaurant             Nightclub   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "24        Nightlife Spot          Noodle House          Optical Shop   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "24                  Park    Peruvian Restaurant  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 2\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 1, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "b42db62e",
   "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>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>2</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Coulwood</td>\n",
       "      <td>2</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>2</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>2</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Flower Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>South End</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>2</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Stadium</td>\n",
       "      <td>Bike Shop</td>\n",
       "      <td>Rock Club</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>College Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>2</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Concert Hall</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>University City</td>\n",
       "      <td>2</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Warehouse Store</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Music Store</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pool Hall</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>2</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Lingerie Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>2</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Pool Hall</td>\n",
       "      <td>Dive Bar</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Spa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Neighborhood  Cluster Labels    1st Most Common Venue  \\\n",
       "1          Cotswold               2              Pizza Place   \n",
       "2          Coulwood               2           Baseball Field   \n",
       "6        Ballantyne               2              Pizza Place   \n",
       "9          Parkdale               2                      Spa   \n",
       "12        South End               2              Coffee Shop   \n",
       "15        Elizabeth               2  New American Restaurant   \n",
       "18             NoDa               2                      Bar   \n",
       "19  University City               2                  Brewery   \n",
       "22        SouthPark               2           Clothing Store   \n",
       "23    Plaza-Midwood               2                      Bar   \n",
       "\n",
       "   2nd Most Common Venue   3rd Most Common Venue 4th Most Common Venue  \\\n",
       "1         Cosmetics Shop  Furniture / Home Store  Fast Food Restaurant   \n",
       "2            Gas Station               Gastropub              Pharmacy   \n",
       "6       Asian Restaurant             Coffee Shop                   Pub   \n",
       "9          Grocery Store      Italian Restaurant   American Restaurant   \n",
       "12   American Restaurant                  Bakery       Thai Restaurant   \n",
       "15                  Park                 Stadium             Bike Shop   \n",
       "18               Brewery               Gastropub            Sports Bar   \n",
       "19       Warehouse Store  Furniture / Home Store  Gym / Fitness Center   \n",
       "22         Women's Store     American Restaurant         Jewelry Store   \n",
       "23           Pizza Place               Gastropub               Brewery   \n",
       "\n",
       "              5th Most Common Venue 6th Most Common Venue  \\\n",
       "1                              Bank              Pharmacy   \n",
       "2   Southern / Soul Food Restaurant     Accessories Store   \n",
       "6                               Spa     Mobile Phone Shop   \n",
       "9                Salon / Barbershop    Mexican Restaurant   \n",
       "12                              Bar            Restaurant   \n",
       "15                        Rock Club        Sandwich Place   \n",
       "18                Food & Drink Shop  Gym / Fitness Center   \n",
       "19                      Music Store                  Pool   \n",
       "22                      Coffee Shop      Department Store   \n",
       "23                        Pool Hall              Dive Bar   \n",
       "\n",
       "   7th Most Common Venue            8th Most Common Venue  \\\n",
       "1            Supermarket                      Coffee Shop   \n",
       "2              Nightclub                   Nightlife Spot   \n",
       "6      Indian Restaurant                           Bakery   \n",
       "9                    Bar                              Gym   \n",
       "12           Pizza Place                 Asian Restaurant   \n",
       "15         Deli / Bodega                      Pizza Place   \n",
       "18          Concert Hall            Performing Arts Venue   \n",
       "19                 Plaza                      Pizza Place   \n",
       "22              Boutique                   Cosmetics Shop   \n",
       "23            Food Truck  Southern / Soul Food Restaurant   \n",
       "\n",
       "   9th Most Common Venue  10th Most Common Venue  \n",
       "1      Convenience Store        Department Store  \n",
       "2           Noodle House            Optical Shop  \n",
       "6    American Restaurant            Burger Joint  \n",
       "9         Massage Studio             Flower Shop  \n",
       "12     French Restaurant  Furniture / Home Store  \n",
       "15   Peruvian Restaurant         College Theater  \n",
       "18             Gift Shop            Dessert Shop  \n",
       "19             Pool Hall                Pharmacy  \n",
       "22     Accessories Store          Lingerie Store  \n",
       "23         Deli / Bodega                     Spa  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 3\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 2, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "1cb5c9df",
   "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>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Mallard</td>\n",
       "      <td>3</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighborhood  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "7      Mallard               3                 Plaza     Accessories Store   \n",
       "\n",
       "   3rd Most Common Venue    4th Most Common Venue 5th Most Common Venue  \\\n",
       "7  Performing Arts Venue  New American Restaurant             Nightclub   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "7        Nightlife Spot          Noodle House          Optical Shop   \n",
       "\n",
       "  9th Most Common Venue 10th Most Common Venue  \n",
       "7                  Park    Peruvian Restaurant  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 4\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 3, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "942ae201",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .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>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Steele Creek</td>\n",
       "      <td>4</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Accessories Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Neighborhood  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "11  Steele Creek               4      Department Store   Peruvian Restaurant   \n",
       "\n",
       "      3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "11  New American Restaurant             Nightclub        Nightlife Spot   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "11          Noodle House          Optical Shop                  Park   \n",
       "\n",
       "    9th Most Common Venue 10th Most Common Venue  \n",
       "11  Performing Arts Venue      Accessories Store  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 5\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 4, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "2a09738f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\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>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Highland Creek</td>\n",
       "      <td>5</td>\n",
       "      <td>Basketball Court</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Pet Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Neighborhood  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "4  Highland Creek               5      Basketball Court     Accessories Store   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "4   Peruvian Restaurant             Nightclub        Nightlife Spot   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "4          Noodle House          Optical Shop                  Park   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "4  Performing Arts Venue              Pet Store  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 6\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 5, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "edd25333",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Quail Hollow</td>\n",
       "      <td>6</td>\n",
       "      <td>Golf Course</td>\n",
       "      <td>Golf Driving Range</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Music Store</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Neighborhood  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "14  Quail Hollow               6           Golf Course    Golf Driving Range   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue    5th Most Common Venue  \\\n",
       "14     Accessories Store           Music Store  New American Restaurant   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "14             Nightclub        Nightlife Spot          Noodle House   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "14          Optical Shop                   Park  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 7\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 6, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "89aaba2e",
   "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>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Starmount</td>\n",
       "      <td>7</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighborhood  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "8    Starmount               7                  Pool     Accessories Store   \n",
       "\n",
       "   3rd Most Common Venue    4th Most Common Venue 5th Most Common Venue  \\\n",
       "8  Performing Arts Venue  New American Restaurant             Nightclub   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "8        Nightlife Spot          Noodle House          Optical Shop   \n",
       "\n",
       "  9th Most Common Venue 10th Most Common Venue  \n",
       "8                  Park    Peruvian Restaurant  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 8\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 7, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "e1a3fe0a",
   "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>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Reid Park</td>\n",
       "      <td>8</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Neighborhood  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "17    Reid Park               8          Intersection        Discount Store   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "17   Fried Chicken Joint     Accessories Store   Peruvian Restaurant   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "17        Nightlife Spot          Noodle House          Optical Shop   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "17                  Park  Performing Arts Venue  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 9\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 8, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "2f7f1f27",
   "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>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dilworth</td>\n",
       "      <td>9</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighborhood  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0     Dilworth               9        Massage Studio                  Park   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "0                  Bank     Accessories Store   Peruvian Restaurant   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "0             Nightclub        Nightlife Spot          Noodle House   \n",
       "\n",
       "  9th Most Common Venue 10th Most Common Venue  \n",
       "0          Optical Shop  Performing Arts Venue  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 10\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 9, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "7e8772de",
   "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>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Sedgefield</td>\n",
       "      <td>10</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Food</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Neighborhood  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "10   Sedgefield              10             Speakeasy                  Food   \n",
       "\n",
       "   3rd Most Common Venue  4th Most Common Venue 5th Most Common Venue  \\\n",
       "10     Accessories Store  Performing Arts Venue             Nightclub   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "10        Nightlife Spot          Noodle House          Optical Shop   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "10                  Park    Peruvian Restaurant  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 11\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 10, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "c790dc56",
   "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>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Eastland</td>\n",
       "      <td>11</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Neighborhood  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "16     Eastland              11     Convenience Store  Gym / Fitness Center   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "16                  Bank     Accessories Store             Pet Store   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "16        Nightlife Spot          Noodle House          Optical Shop   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "16                  Park  Performing Arts Venue  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 12\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 11, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "6f4dfc1d",
   "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>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Chantilly</td>\n",
       "      <td>12</td>\n",
       "      <td>Arcade</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Food Stand</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Neighborhood  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "21    Chantilly              12                Arcade    Light Rail Station   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "21             Nightclub        Nightlife Spot            Food Stand   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "21     Accessories Store          Noodle House          Optical Shop   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "21                  Park  Performing Arts Venue  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 13\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 12, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "80e97ab4",
   "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>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Sherwood Forest</td>\n",
       "      <td>13</td>\n",
       "      <td>Business Service</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Neighborhood  Cluster Labels 1st Most Common Venue  \\\n",
       "13  Sherwood Forest              13      Business Service   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "13     Convenience Store     Accessories Store             Pet Store   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "13        Nightlife Spot          Noodle House          Optical Shop   \n",
       "\n",
       "   8th Most Common Venue  9th Most Common Venue 10th Most Common Venue  \n",
       "13                  Park  Performing Arts Venue    Peruvian Restaurant  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 14\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 13, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "54ec0de5",
   "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>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Biddleville</td>\n",
       "      <td>14</td>\n",
       "      <td>Café</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Neighborhood  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "20  Biddleville              14                  Café   Fried Chicken Joint   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue    5th Most Common Venue  \\\n",
       "20                 Beach     Accessories Store  New American Restaurant   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "20        Nightlife Spot          Noodle House          Optical Shop   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "20                  Park  Performing Arts Venue  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster 15\n",
    "charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 14, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "24d52a9d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>2</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Coulwood</td>\n",
       "      <td>2</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Nightlife Spot</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Optical Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>2</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>2</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Flower Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>South End</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>2</td>\n",
       "      <td>New American Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Stadium</td>\n",
       "      <td>Bike Shop</td>\n",
       "      <td>Rock Club</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "      <td>College Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>2</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Concert Hall</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>University City</td>\n",
       "      <td>2</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Warehouse Store</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Music Store</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pool Hall</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>2</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Lingerie Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>2</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Pool Hall</td>\n",
       "      <td>Dive Bar</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Spa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Neighborhood  Cluster Labels    1st Most Common Venue  \\\n",
       "1          Cotswold               2              Pizza Place   \n",
       "2          Coulwood               2           Baseball Field   \n",
       "6        Ballantyne               2              Pizza Place   \n",
       "9          Parkdale               2                      Spa   \n",
       "12        South End               2              Coffee Shop   \n",
       "15        Elizabeth               2  New American Restaurant   \n",
       "18             NoDa               2                      Bar   \n",
       "19  University City               2                  Brewery   \n",
       "22        SouthPark               2           Clothing Store   \n",
       "23    Plaza-Midwood               2                      Bar   \n",
       "\n",
       "   2nd Most Common Venue   3rd Most Common Venue 4th Most Common Venue  \\\n",
       "1         Cosmetics Shop  Furniture / Home Store  Fast Food Restaurant   \n",
       "2            Gas Station               Gastropub              Pharmacy   \n",
       "6       Asian Restaurant             Coffee Shop                   Pub   \n",
       "9          Grocery Store      Italian Restaurant   American Restaurant   \n",
       "12   American Restaurant                  Bakery       Thai Restaurant   \n",
       "15                  Park                 Stadium             Bike Shop   \n",
       "18               Brewery               Gastropub            Sports Bar   \n",
       "19       Warehouse Store  Furniture / Home Store  Gym / Fitness Center   \n",
       "22         Women's Store     American Restaurant         Jewelry Store   \n",
       "23           Pizza Place               Gastropub               Brewery   \n",
       "\n",
       "              5th Most Common Venue 6th Most Common Venue  \\\n",
       "1                              Bank              Pharmacy   \n",
       "2   Southern / Soul Food Restaurant     Accessories Store   \n",
       "6                               Spa     Mobile Phone Shop   \n",
       "9                Salon / Barbershop    Mexican Restaurant   \n",
       "12                              Bar            Restaurant   \n",
       "15                        Rock Club        Sandwich Place   \n",
       "18                Food & Drink Shop  Gym / Fitness Center   \n",
       "19                      Music Store                  Pool   \n",
       "22                      Coffee Shop      Department Store   \n",
       "23                        Pool Hall              Dive Bar   \n",
       "\n",
       "   7th Most Common Venue            8th Most Common Venue  \\\n",
       "1            Supermarket                      Coffee Shop   \n",
       "2              Nightclub                   Nightlife Spot   \n",
       "6      Indian Restaurant                           Bakery   \n",
       "9                    Bar                              Gym   \n",
       "12           Pizza Place                 Asian Restaurant   \n",
       "15         Deli / Bodega                      Pizza Place   \n",
       "18          Concert Hall            Performing Arts Venue   \n",
       "19                 Plaza                      Pizza Place   \n",
       "22              Boutique                   Cosmetics Shop   \n",
       "23            Food Truck  Southern / Soul Food Restaurant   \n",
       "\n",
       "   9th Most Common Venue  10th Most Common Venue  \n",
       "1      Convenience Store        Department Store  \n",
       "2           Noodle House            Optical Shop  \n",
       "6    American Restaurant            Burger Joint  \n",
       "9         Massage Studio             Flower Shop  \n",
       "12     French Restaurant  Furniture / Home Store  \n",
       "15   Peruvian Restaurant         College Theater  \n",
       "18             Gift Shop            Dessert Shop  \n",
       "19             Pool Hall                Pharmacy  \n",
       "22     Accessories Store          Lingerie Store  \n",
       "23         Deli / Bodega                     Spa  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This appears to be the best cluster for our purposes\n",
    "charlotte_cluster_venues = charlotte_merged.loc[charlotte_merged['Cluster Labels'] == 2, charlotte_merged.columns[[0] + list(range(3, charlotte_merged.shape[1]))]]\n",
    "charlotte_cluster_venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "90d5dbea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Cotswold', 'Coulwood', 'Ballantyne', 'Parkdale', 'South End', 'Elizabeth', 'NoDa', 'University City', 'SouthPark', 'Plaza-Midwood']\n",
      "Number of Neighborhoods in the cluster: 10\n"
     ]
    }
   ],
   "source": [
    "# List of the neighborhoods in the preferred cluster\n",
    "cluster_list = []\n",
    "cluster_list = list(charlotte_cluster_venues['Neighborhood'])\n",
    "print(cluster_list)\n",
    "print(f\"Number of Neighborhoods in the cluster: {len(cluster_list)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "d40063d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      False\n",
       "1      False\n",
       "2      False\n",
       "3      False\n",
       "4      False\n",
       "       ...  \n",
       "389    False\n",
       "390    False\n",
       "391     True\n",
       "392    False\n",
       "393    False\n",
       "Name: Venue Category, Length: 394, dtype: bool"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a filter so that only venues containing 'Restaurant' will be utilized\n",
    "restaurants_mask = charlotte_venues['Venue Category'].str.contains(\"Restaurant\")\n",
    "restaurants_mask"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "790bd15c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(71, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>35.175924</td>\n",
       "      <td>-80.798330</td>\n",
       "      <td>Chick-fil-A</td>\n",
       "      <td>35.177170</td>\n",
       "      <td>-80.799032</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>35.175924</td>\n",
       "      <td>-80.798330</td>\n",
       "      <td>Koishi Sushi Bar And Fine Chinese</td>\n",
       "      <td>35.176099</td>\n",
       "      <td>-80.797043</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>35.175924</td>\n",
       "      <td>-80.798330</td>\n",
       "      <td>Shun Lee Palace</td>\n",
       "      <td>35.177464</td>\n",
       "      <td>-80.798581</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>35.175924</td>\n",
       "      <td>-80.798330</td>\n",
       "      <td>Salsarita's Fresh Mexican Grill</td>\n",
       "      <td>35.175956</td>\n",
       "      <td>-80.802217</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>35.175924</td>\n",
       "      <td>-80.798330</td>\n",
       "      <td>Bojangles' Famous Chicken 'n Biscuits</td>\n",
       "      <td>35.176792</td>\n",
       "      <td>-80.798618</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Coulwood</td>\n",
       "      <td>35.304209</td>\n",
       "      <td>-80.936693</td>\n",
       "      <td>Heirloom</td>\n",
       "      <td>35.305047</td>\n",
       "      <td>-80.937486</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>35.054659</td>\n",
       "      <td>-80.850246</td>\n",
       "      <td>The Blue Taj</td>\n",
       "      <td>35.053394</td>\n",
       "      <td>-80.851724</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>35.054659</td>\n",
       "      <td>-80.850246</td>\n",
       "      <td>Jade Asian Fusion</td>\n",
       "      <td>35.053580</td>\n",
       "      <td>-80.851483</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>35.054659</td>\n",
       "      <td>-80.850246</td>\n",
       "      <td>Gallery Restaurant</td>\n",
       "      <td>35.056759</td>\n",
       "      <td>-80.848272</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>35.054659</td>\n",
       "      <td>-80.850246</td>\n",
       "      <td>Sheng Ramen</td>\n",
       "      <td>35.053668</td>\n",
       "      <td>-80.846876</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>35.054659</td>\n",
       "      <td>-80.850246</td>\n",
       "      <td>Akropolis Kafe</td>\n",
       "      <td>35.056155</td>\n",
       "      <td>-80.853928</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>35.054659</td>\n",
       "      <td>-80.850246</td>\n",
       "      <td>Tijuana Flats</td>\n",
       "      <td>35.055809</td>\n",
       "      <td>-80.853408</td>\n",
       "      <td>Tex-Mex Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>35.054659</td>\n",
       "      <td>-80.850246</td>\n",
       "      <td>Villa Antonio Italian Restaurant</td>\n",
       "      <td>35.053868</td>\n",
       "      <td>-80.851398</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>35.054659</td>\n",
       "      <td>-80.850246</td>\n",
       "      <td>Chef Kwo</td>\n",
       "      <td>35.053471</td>\n",
       "      <td>-80.847138</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>35.054659</td>\n",
       "      <td>-80.850246</td>\n",
       "      <td>Pei Wei</td>\n",
       "      <td>35.055558</td>\n",
       "      <td>-80.851545</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>35.054659</td>\n",
       "      <td>-80.850246</td>\n",
       "      <td>Persis Biryani Indian Grill</td>\n",
       "      <td>35.056135</td>\n",
       "      <td>-80.853974</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>35.054659</td>\n",
       "      <td>-80.850246</td>\n",
       "      <td>Stone Mountain Grill</td>\n",
       "      <td>35.057848</td>\n",
       "      <td>-80.851354</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>35.054659</td>\n",
       "      <td>-80.850246</td>\n",
       "      <td>Moe's Southwest Grill</td>\n",
       "      <td>35.054292</td>\n",
       "      <td>-80.852319</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>35.158287</td>\n",
       "      <td>-80.845661</td>\n",
       "      <td>Portofino's Park Road</td>\n",
       "      <td>35.160622</td>\n",
       "      <td>-80.849769</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>35.158287</td>\n",
       "      <td>-80.845661</td>\n",
       "      <td>1900 Mexican Grill &amp; Tequila Bar</td>\n",
       "      <td>35.160934</td>\n",
       "      <td>-80.849299</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>35.158287</td>\n",
       "      <td>-80.845661</td>\n",
       "      <td>Groucho's Deli (Park Rd)</td>\n",
       "      <td>35.161133</td>\n",
       "      <td>-80.849282</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Superica</td>\n",
       "      <td>35.211736</td>\n",
       "      <td>-80.860303</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Barcelona Wine Bar Charlotte</td>\n",
       "      <td>35.211690</td>\n",
       "      <td>-80.860077</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Hawker’s Asian Street Fare</td>\n",
       "      <td>35.210895</td>\n",
       "      <td>-80.860527</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>300 East</td>\n",
       "      <td>35.210571</td>\n",
       "      <td>-80.856556</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Copper</td>\n",
       "      <td>35.210641</td>\n",
       "      <td>-80.855804</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Leroy Fox Kitchen &amp; Cocktails</td>\n",
       "      <td>35.213801</td>\n",
       "      <td>-80.857970</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>O-Ku</td>\n",
       "      <td>35.209676</td>\n",
       "      <td>-80.860283</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Rai Lay</td>\n",
       "      <td>35.214149</td>\n",
       "      <td>-80.855165</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Bonterra Dining &amp; Wine Room</td>\n",
       "      <td>35.209869</td>\n",
       "      <td>-80.857247</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Flower Child</td>\n",
       "      <td>35.215507</td>\n",
       "      <td>-80.856875</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Thai Taste</td>\n",
       "      <td>35.210070</td>\n",
       "      <td>-80.855892</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Luna's Living Kitchen</td>\n",
       "      <td>35.208940</td>\n",
       "      <td>-80.860906</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Luciano's Ristorante</td>\n",
       "      <td>35.210199</td>\n",
       "      <td>-80.859477</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Bang Bang Burgers Southend</td>\n",
       "      <td>35.210642</td>\n",
       "      <td>-80.863450</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Bei Jing Chinese Cuisine</td>\n",
       "      <td>35.213422</td>\n",
       "      <td>-80.855607</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Crispy Crepe (Hookah Mokah by Crispy Crepe)</td>\n",
       "      <td>35.214736</td>\n",
       "      <td>-80.854669</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>South End</td>\n",
       "      <td>35.212623</td>\n",
       "      <td>-80.858840</td>\n",
       "      <td>Silverlake Ramen</td>\n",
       "      <td>35.208266</td>\n",
       "      <td>-80.859764</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>35.216970</td>\n",
       "      <td>-80.827582</td>\n",
       "      <td>Customshop</td>\n",
       "      <td>35.213828</td>\n",
       "      <td>-80.826544</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>35.216970</td>\n",
       "      <td>-80.827582</td>\n",
       "      <td>Carpe Diem Restaurant &amp; Caterers</td>\n",
       "      <td>35.213918</td>\n",
       "      <td>-80.826523</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>35.216970</td>\n",
       "      <td>-80.827582</td>\n",
       "      <td>Viva Chicken Elizabeth Avenue</td>\n",
       "      <td>35.213407</td>\n",
       "      <td>-80.825966</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>35.216970</td>\n",
       "      <td>-80.827582</td>\n",
       "      <td>The Fig Tree</td>\n",
       "      <td>35.216494</td>\n",
       "      <td>-80.822610</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>35.216970</td>\n",
       "      <td>-80.827582</td>\n",
       "      <td>1900 Mexican Grill &amp; Tequila Bar</td>\n",
       "      <td>35.214218</td>\n",
       "      <td>-80.826909</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>35.216970</td>\n",
       "      <td>-80.827582</td>\n",
       "      <td>88 China Bistro</td>\n",
       "      <td>35.212499</td>\n",
       "      <td>-80.827497</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>35.216970</td>\n",
       "      <td>-80.827582</td>\n",
       "      <td>Shiraz Grill</td>\n",
       "      <td>35.215750</td>\n",
       "      <td>-80.828480</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>35.216970</td>\n",
       "      <td>-80.827582</td>\n",
       "      <td>Bojangles' Famous Chicken 'n Biscuits</td>\n",
       "      <td>35.213472</td>\n",
       "      <td>-80.829969</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>35.246994</td>\n",
       "      <td>-80.805777</td>\n",
       "      <td>Haberdish</td>\n",
       "      <td>35.246632</td>\n",
       "      <td>-80.806223</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>35.246994</td>\n",
       "      <td>-80.805777</td>\n",
       "      <td>Crêpe Cellar Kitchen &amp; Pub</td>\n",
       "      <td>35.246886</td>\n",
       "      <td>-80.805889</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>35.246994</td>\n",
       "      <td>-80.805777</td>\n",
       "      <td>Boudreaux's Louisiana Kitchen</td>\n",
       "      <td>35.247649</td>\n",
       "      <td>-80.804514</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>Cafe Monte</td>\n",
       "      <td>35.147154</td>\n",
       "      <td>-80.828726</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>Dogwood Southern Table &amp; Bar</td>\n",
       "      <td>35.146111</td>\n",
       "      <td>-80.830373</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>Baoding</td>\n",
       "      <td>35.147420</td>\n",
       "      <td>-80.832939</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>The Cheesecake Factory</td>\n",
       "      <td>35.151631</td>\n",
       "      <td>-80.830352</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>Harper's Restaurant</td>\n",
       "      <td>35.147894</td>\n",
       "      <td>-80.831927</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>Arthur's</td>\n",
       "      <td>35.151296</td>\n",
       "      <td>-80.831439</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>Maggiano's Little Italy</td>\n",
       "      <td>35.151968</td>\n",
       "      <td>-80.832011</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>Rusty Bucket</td>\n",
       "      <td>35.146183</td>\n",
       "      <td>-80.830283</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>P.F. Chang's</td>\n",
       "      <td>35.146566</td>\n",
       "      <td>-80.826737</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>Corkbuzz Restaurant - Charlotte</td>\n",
       "      <td>35.146027</td>\n",
       "      <td>-80.830363</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>Chick-fil-A</td>\n",
       "      <td>35.152231</td>\n",
       "      <td>-80.831897</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>Baku Restaurant</td>\n",
       "      <td>35.151425</td>\n",
       "      <td>-80.828150</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>Luna's Living Kitchen</td>\n",
       "      <td>35.150383</td>\n",
       "      <td>-80.828278</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>Moe's Southwest Grill</td>\n",
       "      <td>35.147638</td>\n",
       "      <td>-80.833077</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>Showmars</td>\n",
       "      <td>35.152130</td>\n",
       "      <td>-80.832268</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>35.148434</td>\n",
       "      <td>-80.830910</td>\n",
       "      <td>McDonald's</td>\n",
       "      <td>35.148680</td>\n",
       "      <td>-80.833024</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>35.220271</td>\n",
       "      <td>-80.810849</td>\n",
       "      <td>Dish</td>\n",
       "      <td>35.219782</td>\n",
       "      <td>-80.812100</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>35.220271</td>\n",
       "      <td>-80.810849</td>\n",
       "      <td>Diamond Restaurant</td>\n",
       "      <td>35.218961</td>\n",
       "      <td>-80.813254</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>35.220271</td>\n",
       "      <td>-80.810849</td>\n",
       "      <td>Akahana Asian Bistro</td>\n",
       "      <td>35.220924</td>\n",
       "      <td>-80.810246</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>35.220271</td>\n",
       "      <td>-80.810849</td>\n",
       "      <td>Mama's Carribean Grill</td>\n",
       "      <td>35.220231</td>\n",
       "      <td>-80.813188</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>35.220271</td>\n",
       "      <td>-80.810849</td>\n",
       "      <td>Bistro La Bon</td>\n",
       "      <td>35.220671</td>\n",
       "      <td>-80.815800</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>35.220271</td>\n",
       "      <td>-80.810849</td>\n",
       "      <td>Hong Kong</td>\n",
       "      <td>35.220497</td>\n",
       "      <td>-80.809910</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "5         Cotswold              35.175924              -80.798330   \n",
       "9         Cotswold              35.175924              -80.798330   \n",
       "12        Cotswold              35.175924              -80.798330   \n",
       "37        Cotswold              35.175924              -80.798330   \n",
       "41        Cotswold              35.175924              -80.798330   \n",
       "47        Coulwood              35.304209              -80.936693   \n",
       "60      Ballantyne              35.054659              -80.850246   \n",
       "63      Ballantyne              35.054659              -80.850246   \n",
       "67      Ballantyne              35.054659              -80.850246   \n",
       "70      Ballantyne              35.054659              -80.850246   \n",
       "78      Ballantyne              35.054659              -80.850246   \n",
       "81      Ballantyne              35.054659              -80.850246   \n",
       "83      Ballantyne              35.054659              -80.850246   \n",
       "85      Ballantyne              35.054659              -80.850246   \n",
       "89      Ballantyne              35.054659              -80.850246   \n",
       "91      Ballantyne              35.054659              -80.850246   \n",
       "98      Ballantyne              35.054659              -80.850246   \n",
       "103     Ballantyne              35.054659              -80.850246   \n",
       "117       Parkdale              35.158287              -80.845661   \n",
       "118       Parkdale              35.158287              -80.845661   \n",
       "125       Parkdale              35.158287              -80.845661   \n",
       "132      South End              35.212623              -80.858840   \n",
       "134      South End              35.212623              -80.858840   \n",
       "137      South End              35.212623              -80.858840   \n",
       "142      South End              35.212623              -80.858840   \n",
       "146      South End              35.212623              -80.858840   \n",
       "148      South End              35.212623              -80.858840   \n",
       "150      South End              35.212623              -80.858840   \n",
       "151      South End              35.212623              -80.858840   \n",
       "152      South End              35.212623              -80.858840   \n",
       "153      South End              35.212623              -80.858840   \n",
       "155      South End              35.212623              -80.858840   \n",
       "158      South End              35.212623              -80.858840   \n",
       "159      South End              35.212623              -80.858840   \n",
       "161      South End              35.212623              -80.858840   \n",
       "163      South End              35.212623              -80.858840   \n",
       "172      South End              35.212623              -80.858840   \n",
       "183      South End              35.212623              -80.858840   \n",
       "191      Elizabeth              35.216970              -80.827582   \n",
       "192      Elizabeth              35.216970              -80.827582   \n",
       "193      Elizabeth              35.216970              -80.827582   \n",
       "197      Elizabeth              35.216970              -80.827582   \n",
       "198      Elizabeth              35.216970              -80.827582   \n",
       "202      Elizabeth              35.216970              -80.827582   \n",
       "203      Elizabeth              35.216970              -80.827582   \n",
       "205      Elizabeth              35.216970              -80.827582   \n",
       "223           NoDa              35.246994              -80.805777   \n",
       "227           NoDa              35.246994              -80.805777   \n",
       "228           NoDa              35.246994              -80.805777   \n",
       "272      SouthPark              35.148434              -80.830910   \n",
       "274      SouthPark              35.148434              -80.830910   \n",
       "276      SouthPark              35.148434              -80.830910   \n",
       "279      SouthPark              35.148434              -80.830910   \n",
       "282      SouthPark              35.148434              -80.830910   \n",
       "284      SouthPark              35.148434              -80.830910   \n",
       "285      SouthPark              35.148434              -80.830910   \n",
       "290      SouthPark              35.148434              -80.830910   \n",
       "293      SouthPark              35.148434              -80.830910   \n",
       "296      SouthPark              35.148434              -80.830910   \n",
       "297      SouthPark              35.148434              -80.830910   \n",
       "308      SouthPark              35.148434              -80.830910   \n",
       "319      SouthPark              35.148434              -80.830910   \n",
       "328      SouthPark              35.148434              -80.830910   \n",
       "343      SouthPark              35.148434              -80.830910   \n",
       "349      SouthPark              35.148434              -80.830910   \n",
       "355  Plaza-Midwood              35.220271              -80.810849   \n",
       "365  Plaza-Midwood              35.220271              -80.810849   \n",
       "370  Plaza-Midwood              35.220271              -80.810849   \n",
       "375  Plaza-Midwood              35.220271              -80.810849   \n",
       "382  Plaza-Midwood              35.220271              -80.810849   \n",
       "391  Plaza-Midwood              35.220271              -80.810849   \n",
       "\n",
       "                                           Venue  Venue Latitude  \\\n",
       "5                                    Chick-fil-A       35.177170   \n",
       "9              Koishi Sushi Bar And Fine Chinese       35.176099   \n",
       "12                               Shun Lee Palace       35.177464   \n",
       "37               Salsarita's Fresh Mexican Grill       35.175956   \n",
       "41         Bojangles' Famous Chicken 'n Biscuits       35.176792   \n",
       "47                                      Heirloom       35.305047   \n",
       "60                                  The Blue Taj       35.053394   \n",
       "63                             Jade Asian Fusion       35.053580   \n",
       "67                            Gallery Restaurant       35.056759   \n",
       "70                                   Sheng Ramen       35.053668   \n",
       "78                                Akropolis Kafe       35.056155   \n",
       "81                                 Tijuana Flats       35.055809   \n",
       "83              Villa Antonio Italian Restaurant       35.053868   \n",
       "85                                      Chef Kwo       35.053471   \n",
       "89                                       Pei Wei       35.055558   \n",
       "91                   Persis Biryani Indian Grill       35.056135   \n",
       "98                          Stone Mountain Grill       35.057848   \n",
       "103                        Moe's Southwest Grill       35.054292   \n",
       "117                        Portofino's Park Road       35.160622   \n",
       "118             1900 Mexican Grill & Tequila Bar       35.160934   \n",
       "125                     Groucho's Deli (Park Rd)       35.161133   \n",
       "132                                     Superica       35.211736   \n",
       "134                 Barcelona Wine Bar Charlotte       35.211690   \n",
       "137                   Hawker’s Asian Street Fare       35.210895   \n",
       "142                                     300 East       35.210571   \n",
       "146                                       Copper       35.210641   \n",
       "148                Leroy Fox Kitchen & Cocktails       35.213801   \n",
       "150                                         O-Ku       35.209676   \n",
       "151                                      Rai Lay       35.214149   \n",
       "152                  Bonterra Dining & Wine Room       35.209869   \n",
       "153                                 Flower Child       35.215507   \n",
       "155                                   Thai Taste       35.210070   \n",
       "158                        Luna's Living Kitchen       35.208940   \n",
       "159                         Luciano's Ristorante       35.210199   \n",
       "161                   Bang Bang Burgers Southend       35.210642   \n",
       "163                     Bei Jing Chinese Cuisine       35.213422   \n",
       "172  Crispy Crepe (Hookah Mokah by Crispy Crepe)       35.214736   \n",
       "183                             Silverlake Ramen       35.208266   \n",
       "191                                   Customshop       35.213828   \n",
       "192             Carpe Diem Restaurant & Caterers       35.213918   \n",
       "193                Viva Chicken Elizabeth Avenue       35.213407   \n",
       "197                                 The Fig Tree       35.216494   \n",
       "198             1900 Mexican Grill & Tequila Bar       35.214218   \n",
       "202                              88 China Bistro       35.212499   \n",
       "203                                 Shiraz Grill       35.215750   \n",
       "205        Bojangles' Famous Chicken 'n Biscuits       35.213472   \n",
       "223                                    Haberdish       35.246632   \n",
       "227                   Crêpe Cellar Kitchen & Pub       35.246886   \n",
       "228                Boudreaux's Louisiana Kitchen       35.247649   \n",
       "272                                   Cafe Monte       35.147154   \n",
       "274                 Dogwood Southern Table & Bar       35.146111   \n",
       "276                                      Baoding       35.147420   \n",
       "279                       The Cheesecake Factory       35.151631   \n",
       "282                          Harper's Restaurant       35.147894   \n",
       "284                                     Arthur's       35.151296   \n",
       "285                      Maggiano's Little Italy       35.151968   \n",
       "290                                 Rusty Bucket       35.146183   \n",
       "293                                 P.F. Chang's       35.146566   \n",
       "296              Corkbuzz Restaurant - Charlotte       35.146027   \n",
       "297                                  Chick-fil-A       35.152231   \n",
       "308                              Baku Restaurant       35.151425   \n",
       "319                        Luna's Living Kitchen       35.150383   \n",
       "328                        Moe's Southwest Grill       35.147638   \n",
       "343                                     Showmars       35.152130   \n",
       "349                                   McDonald's       35.148680   \n",
       "355                                         Dish       35.219782   \n",
       "365                           Diamond Restaurant       35.218961   \n",
       "370                         Akahana Asian Bistro       35.220924   \n",
       "375                       Mama's Carribean Grill       35.220231   \n",
       "382                                Bistro La Bon       35.220671   \n",
       "391                                    Hong Kong       35.220497   \n",
       "\n",
       "     Venue Longitude                   Venue Category  \n",
       "5         -80.799032             Fast Food Restaurant  \n",
       "9         -80.797043                 Sushi Restaurant  \n",
       "12        -80.798581               Chinese Restaurant  \n",
       "37        -80.802217               Mexican Restaurant  \n",
       "41        -80.798618             Fast Food Restaurant  \n",
       "47        -80.937486  Southern / Soul Food Restaurant  \n",
       "60        -80.851724                Indian Restaurant  \n",
       "63        -80.851483                 Asian Restaurant  \n",
       "67        -80.848272              American Restaurant  \n",
       "70        -80.846876                 Asian Restaurant  \n",
       "78        -80.853928                 Greek Restaurant  \n",
       "81        -80.853408               Tex-Mex Restaurant  \n",
       "83        -80.851398               Italian Restaurant  \n",
       "85        -80.847138               Chinese Restaurant  \n",
       "89        -80.851545                 Asian Restaurant  \n",
       "91        -80.853974                Indian Restaurant  \n",
       "98        -80.851354              American Restaurant  \n",
       "103       -80.852319               Mexican Restaurant  \n",
       "117       -80.849769               Italian Restaurant  \n",
       "118       -80.849299               Mexican Restaurant  \n",
       "125       -80.849282              American Restaurant  \n",
       "132       -80.860303               Mexican Restaurant  \n",
       "134       -80.860077                 Tapas Restaurant  \n",
       "137       -80.860527                 Asian Restaurant  \n",
       "142       -80.856556              American Restaurant  \n",
       "146       -80.855804                Indian Restaurant  \n",
       "148       -80.857970              American Restaurant  \n",
       "150       -80.860283                 Asian Restaurant  \n",
       "151       -80.855165                  Thai Restaurant  \n",
       "152       -80.857247              American Restaurant  \n",
       "153       -80.856875                       Restaurant  \n",
       "155       -80.855892                  Thai Restaurant  \n",
       "158       -80.860906    Vegetarian / Vegan Restaurant  \n",
       "159       -80.859477               Italian Restaurant  \n",
       "161       -80.863450                       Restaurant  \n",
       "163       -80.855607               Chinese Restaurant  \n",
       "172       -80.854669                French Restaurant  \n",
       "183       -80.859764                 Ramen Restaurant  \n",
       "191       -80.826544          New American Restaurant  \n",
       "192       -80.826523          New American Restaurant  \n",
       "193       -80.825966              Peruvian Restaurant  \n",
       "197       -80.822610          New American Restaurant  \n",
       "198       -80.826909               Mexican Restaurant  \n",
       "202       -80.827497               Chinese Restaurant  \n",
       "203       -80.828480                 Greek Restaurant  \n",
       "205       -80.829969             Fast Food Restaurant  \n",
       "223       -80.806223  Southern / Soul Food Restaurant  \n",
       "227       -80.805889      Eastern European Restaurant  \n",
       "228       -80.804514               Seafood Restaurant  \n",
       "272       -80.828726                French Restaurant  \n",
       "274       -80.830373          New American Restaurant  \n",
       "276       -80.832939               Chinese Restaurant  \n",
       "279       -80.830352              American Restaurant  \n",
       "282       -80.831927              American Restaurant  \n",
       "284       -80.831439              American Restaurant  \n",
       "285       -80.832011               Italian Restaurant  \n",
       "290       -80.830283              American Restaurant  \n",
       "293       -80.826737               Chinese Restaurant  \n",
       "296       -80.830363              American Restaurant  \n",
       "297       -80.831897             Fast Food Restaurant  \n",
       "308       -80.828150              Japanese Restaurant  \n",
       "319       -80.828278    Vegetarian / Vegan Restaurant  \n",
       "328       -80.833077               Mexican Restaurant  \n",
       "343       -80.832268                 Greek Restaurant  \n",
       "349       -80.833024             Fast Food Restaurant  \n",
       "355       -80.812100  Southern / Soul Food Restaurant  \n",
       "365       -80.813254              American Restaurant  \n",
       "370       -80.810246                 Asian Restaurant  \n",
       "375       -80.813188             Caribbean Restaurant  \n",
       "382       -80.815800                       Restaurant  \n",
       "391       -80.809910               Chinese Restaurant  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Apply the mask and create a new dataframe\n",
    "charlotte_restaurants = charlotte_venues[restaurants_mask]\n",
    "print(charlotte_restaurants.shape)\n",
    "charlotte_restaurants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "c4cfdb95",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Applications/anaconda3/lib/python3.8/site-packages/pandas/core/frame.py:4308: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().drop(\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Coulwood</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Tex-Mex Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>South End</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>South End</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>South End</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>South End</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>South End</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>South End</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>South End</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>South End</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>South End</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>South End</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>South End</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>South End</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>South End</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>South End</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Neighborhood                   Venue Category\n",
       "5         Cotswold             Fast Food Restaurant\n",
       "9         Cotswold                 Sushi Restaurant\n",
       "12        Cotswold               Chinese Restaurant\n",
       "37        Cotswold               Mexican Restaurant\n",
       "41        Cotswold             Fast Food Restaurant\n",
       "47        Coulwood  Southern / Soul Food Restaurant\n",
       "60      Ballantyne                Indian Restaurant\n",
       "63      Ballantyne                 Asian Restaurant\n",
       "67      Ballantyne              American Restaurant\n",
       "70      Ballantyne                 Asian Restaurant\n",
       "78      Ballantyne                 Greek Restaurant\n",
       "81      Ballantyne               Tex-Mex Restaurant\n",
       "83      Ballantyne               Italian Restaurant\n",
       "85      Ballantyne               Chinese Restaurant\n",
       "89      Ballantyne                 Asian Restaurant\n",
       "91      Ballantyne                Indian Restaurant\n",
       "98      Ballantyne              American Restaurant\n",
       "103     Ballantyne               Mexican Restaurant\n",
       "117       Parkdale               Italian Restaurant\n",
       "118       Parkdale               Mexican Restaurant\n",
       "125       Parkdale              American Restaurant\n",
       "132      South End               Mexican Restaurant\n",
       "134      South End                 Tapas Restaurant\n",
       "137      South End                 Asian Restaurant\n",
       "142      South End              American Restaurant\n",
       "146      South End                Indian Restaurant\n",
       "148      South End              American Restaurant\n",
       "150      South End                 Asian Restaurant\n",
       "151      South End                  Thai Restaurant\n",
       "152      South End              American Restaurant\n",
       "153      South End                       Restaurant\n",
       "155      South End                  Thai Restaurant\n",
       "158      South End    Vegetarian / Vegan Restaurant\n",
       "159      South End               Italian Restaurant\n",
       "161      South End                       Restaurant\n",
       "163      South End               Chinese Restaurant\n",
       "172      South End                French Restaurant\n",
       "183      South End                 Ramen Restaurant\n",
       "191      Elizabeth          New American Restaurant\n",
       "192      Elizabeth          New American Restaurant\n",
       "193      Elizabeth              Peruvian Restaurant\n",
       "197      Elizabeth          New American Restaurant\n",
       "198      Elizabeth               Mexican Restaurant\n",
       "202      Elizabeth               Chinese Restaurant\n",
       "203      Elizabeth                 Greek Restaurant\n",
       "205      Elizabeth             Fast Food Restaurant\n",
       "223           NoDa  Southern / Soul Food Restaurant\n",
       "227           NoDa      Eastern European Restaurant\n",
       "228           NoDa               Seafood Restaurant\n",
       "272      SouthPark                French Restaurant\n",
       "274      SouthPark          New American Restaurant\n",
       "276      SouthPark               Chinese Restaurant\n",
       "279      SouthPark              American Restaurant\n",
       "282      SouthPark              American Restaurant\n",
       "284      SouthPark              American Restaurant\n",
       "285      SouthPark               Italian Restaurant\n",
       "290      SouthPark              American Restaurant\n",
       "293      SouthPark               Chinese Restaurant\n",
       "296      SouthPark              American Restaurant\n",
       "297      SouthPark             Fast Food Restaurant\n",
       "308      SouthPark              Japanese Restaurant\n",
       "319      SouthPark    Vegetarian / Vegan Restaurant\n",
       "328      SouthPark               Mexican Restaurant\n",
       "343      SouthPark                 Greek Restaurant\n",
       "349      SouthPark             Fast Food Restaurant\n",
       "355  Plaza-Midwood  Southern / Soul Food Restaurant\n",
       "365  Plaza-Midwood              American Restaurant\n",
       "370  Plaza-Midwood                 Asian Restaurant\n",
       "375  Plaza-Midwood             Caribbean Restaurant\n",
       "382  Plaza-Midwood                       Restaurant\n",
       "391  Plaza-Midwood               Chinese Restaurant"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We can drop columns we don't need\n",
    "charlotte_restaurants.drop(['Neighborhood Latitude', 'Neighborhood Longitude', 'Venue', 'Venue Latitude', 'Venue Longitude'], axis=1, inplace=True)\n",
    "charlotte_restaurants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "701bf4f2",
   "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>Neighborhood</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Coulwood</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Tex-Mex Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>South End</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>South End</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>South End</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>South End</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>South End</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>South End</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>South End</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>South End</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>South End</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>South End</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>South End</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>South End</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>South End</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>South End</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Neighborhood                   Venue Category\n",
       "5         Cotswold             Fast Food Restaurant\n",
       "9         Cotswold                 Sushi Restaurant\n",
       "12        Cotswold               Chinese Restaurant\n",
       "37        Cotswold               Mexican Restaurant\n",
       "41        Cotswold             Fast Food Restaurant\n",
       "47        Coulwood  Southern / Soul Food Restaurant\n",
       "60      Ballantyne                Indian Restaurant\n",
       "63      Ballantyne                 Asian Restaurant\n",
       "67      Ballantyne              American Restaurant\n",
       "70      Ballantyne                 Asian Restaurant\n",
       "78      Ballantyne                 Greek Restaurant\n",
       "81      Ballantyne               Tex-Mex Restaurant\n",
       "83      Ballantyne               Italian Restaurant\n",
       "85      Ballantyne               Chinese Restaurant\n",
       "89      Ballantyne                 Asian Restaurant\n",
       "91      Ballantyne                Indian Restaurant\n",
       "98      Ballantyne              American Restaurant\n",
       "103     Ballantyne               Mexican Restaurant\n",
       "117       Parkdale               Italian Restaurant\n",
       "118       Parkdale               Mexican Restaurant\n",
       "125       Parkdale              American Restaurant\n",
       "132      South End               Mexican Restaurant\n",
       "134      South End                 Tapas Restaurant\n",
       "137      South End                 Asian Restaurant\n",
       "142      South End              American Restaurant\n",
       "146      South End                Indian Restaurant\n",
       "148      South End              American Restaurant\n",
       "150      South End                 Asian Restaurant\n",
       "151      South End                  Thai Restaurant\n",
       "152      South End              American Restaurant\n",
       "153      South End                       Restaurant\n",
       "155      South End                  Thai Restaurant\n",
       "158      South End    Vegetarian / Vegan Restaurant\n",
       "159      South End               Italian Restaurant\n",
       "161      South End                       Restaurant\n",
       "163      South End               Chinese Restaurant\n",
       "172      South End                French Restaurant\n",
       "183      South End                 Ramen Restaurant\n",
       "191      Elizabeth          New American Restaurant\n",
       "192      Elizabeth          New American Restaurant\n",
       "193      Elizabeth              Peruvian Restaurant\n",
       "197      Elizabeth          New American Restaurant\n",
       "198      Elizabeth               Mexican Restaurant\n",
       "202      Elizabeth               Chinese Restaurant\n",
       "203      Elizabeth                 Greek Restaurant\n",
       "205      Elizabeth             Fast Food Restaurant\n",
       "223           NoDa  Southern / Soul Food Restaurant\n",
       "227           NoDa      Eastern European Restaurant\n",
       "228           NoDa               Seafood Restaurant\n",
       "272      SouthPark                French Restaurant\n",
       "274      SouthPark          New American Restaurant\n",
       "276      SouthPark               Chinese Restaurant\n",
       "279      SouthPark              American Restaurant\n",
       "282      SouthPark              American Restaurant\n",
       "284      SouthPark              American Restaurant\n",
       "285      SouthPark               Italian Restaurant\n",
       "290      SouthPark              American Restaurant\n",
       "293      SouthPark               Chinese Restaurant\n",
       "296      SouthPark              American Restaurant\n",
       "297      SouthPark             Fast Food Restaurant\n",
       "308      SouthPark              Japanese Restaurant\n",
       "319      SouthPark    Vegetarian / Vegan Restaurant\n",
       "328      SouthPark               Mexican Restaurant\n",
       "343      SouthPark                 Greek Restaurant\n",
       "349      SouthPark             Fast Food Restaurant\n",
       "355  Plaza-Midwood  Southern / Soul Food Restaurant\n",
       "365  Plaza-Midwood              American Restaurant\n",
       "370  Plaza-Midwood                 Asian Restaurant\n",
       "375  Plaza-Midwood             Caribbean Restaurant\n",
       "382  Plaza-Midwood                       Restaurant\n",
       "391  Plaza-Midwood               Chinese Restaurant"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "charlotte_cluster_restaurants = charlotte_restaurants.loc[charlotte_restaurants['Neighborhood'].isin(cluster_list)]\n",
    "charlotte_cluster_restaurants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "7ca61800",
   "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>Neighborhood</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Coulwood</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Tex-Mex Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>South End</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>South End</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>South End</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>South End</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>South End</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>South End</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>South End</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>South End</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>South End</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>South End</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>South End</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>South End</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>South End</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>South End</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Neighborhood                   Venue Category\n",
       "9         Cotswold                 Sushi Restaurant\n",
       "12        Cotswold               Chinese Restaurant\n",
       "37        Cotswold               Mexican Restaurant\n",
       "47        Coulwood  Southern / Soul Food Restaurant\n",
       "60      Ballantyne                Indian Restaurant\n",
       "63      Ballantyne                 Asian Restaurant\n",
       "67      Ballantyne              American Restaurant\n",
       "70      Ballantyne                 Asian Restaurant\n",
       "78      Ballantyne                 Greek Restaurant\n",
       "81      Ballantyne               Tex-Mex Restaurant\n",
       "83      Ballantyne               Italian Restaurant\n",
       "85      Ballantyne               Chinese Restaurant\n",
       "89      Ballantyne                 Asian Restaurant\n",
       "91      Ballantyne                Indian Restaurant\n",
       "98      Ballantyne              American Restaurant\n",
       "103     Ballantyne               Mexican Restaurant\n",
       "117       Parkdale               Italian Restaurant\n",
       "118       Parkdale               Mexican Restaurant\n",
       "125       Parkdale              American Restaurant\n",
       "132      South End               Mexican Restaurant\n",
       "134      South End                 Tapas Restaurant\n",
       "137      South End                 Asian Restaurant\n",
       "142      South End              American Restaurant\n",
       "146      South End                Indian Restaurant\n",
       "148      South End              American Restaurant\n",
       "150      South End                 Asian Restaurant\n",
       "151      South End                  Thai Restaurant\n",
       "152      South End              American Restaurant\n",
       "153      South End                       Restaurant\n",
       "155      South End                  Thai Restaurant\n",
       "158      South End    Vegetarian / Vegan Restaurant\n",
       "159      South End               Italian Restaurant\n",
       "161      South End                       Restaurant\n",
       "163      South End               Chinese Restaurant\n",
       "172      South End                French Restaurant\n",
       "183      South End                 Ramen Restaurant\n",
       "191      Elizabeth          New American Restaurant\n",
       "192      Elizabeth          New American Restaurant\n",
       "193      Elizabeth              Peruvian Restaurant\n",
       "197      Elizabeth          New American Restaurant\n",
       "198      Elizabeth               Mexican Restaurant\n",
       "202      Elizabeth               Chinese Restaurant\n",
       "203      Elizabeth                 Greek Restaurant\n",
       "223           NoDa  Southern / Soul Food Restaurant\n",
       "227           NoDa      Eastern European Restaurant\n",
       "228           NoDa               Seafood Restaurant\n",
       "272      SouthPark                French Restaurant\n",
       "274      SouthPark          New American Restaurant\n",
       "276      SouthPark               Chinese Restaurant\n",
       "279      SouthPark              American Restaurant\n",
       "282      SouthPark              American Restaurant\n",
       "284      SouthPark              American Restaurant\n",
       "285      SouthPark               Italian Restaurant\n",
       "290      SouthPark              American Restaurant\n",
       "293      SouthPark               Chinese Restaurant\n",
       "296      SouthPark              American Restaurant\n",
       "308      SouthPark              Japanese Restaurant\n",
       "319      SouthPark    Vegetarian / Vegan Restaurant\n",
       "328      SouthPark               Mexican Restaurant\n",
       "343      SouthPark                 Greek Restaurant\n",
       "355  Plaza-Midwood  Southern / Soul Food Restaurant\n",
       "365  Plaza-Midwood              American Restaurant\n",
       "370  Plaza-Midwood                 Asian Restaurant\n",
       "375  Plaza-Midwood             Caribbean Restaurant\n",
       "382  Plaza-Midwood                       Restaurant\n",
       "391  Plaza-Midwood               Chinese Restaurant"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We discover that 'Fast Food Restaurant' is popular, but we don't\n",
    "# want to condifer that cuisine, so rmove it from the Dataframe\n",
    "charlotte_cluster_restaurants = charlotte_cluster_restaurants[charlotte_cluster_restaurants['Venue Category'] != \"Fast Food Restaurant\"]\n",
    "charlotte_cluster_restaurants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "f9cae028",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "132"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "charlotte_cluster_restaurants.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "e9e5dfbb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Ramen Restaurant',\n",
       " 'Greek Restaurant',\n",
       " 'New American Restaurant',\n",
       " 'Vegetarian / Vegan Restaurant',\n",
       " 'Mexican Restaurant',\n",
       " 'Japanese Restaurant',\n",
       " 'Peruvian Restaurant',\n",
       " 'Thai Restaurant',\n",
       " 'Indian Restaurant',\n",
       " 'Italian Restaurant',\n",
       " 'Asian Restaurant',\n",
       " 'Chinese Restaurant',\n",
       " 'Seafood Restaurant',\n",
       " 'Eastern European Restaurant',\n",
       " 'Sushi Restaurant',\n",
       " 'French Restaurant',\n",
       " 'Southern / Soul Food Restaurant',\n",
       " 'Tapas Restaurant',\n",
       " 'Restaurant',\n",
       " 'Caribbean Restaurant',\n",
       " 'Tex-Mex Restaurant',\n",
       " 'American Restaurant']"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get a unique list of Restaurant Types/Cuisines\n",
    "rest_list = list(set(charlotte_cluster_restaurants[\"Venue Category\"]))\n",
    "rest_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "9083e886",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Applications/anaconda3/lib/python3.8/site-packages/pandas/core/frame.py:4441: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  return super().rename(\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Cuisine</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Coulwood</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Tex-Mex Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>South End</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>South End</td>\n",
       "      <td>Tapas Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>South End</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>South End</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>South End</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>South End</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>South End</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>South End</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>South End</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>South End</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>South End</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>South End</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>South End</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>South End</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Peruvian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>NoDa</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>New American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Neighborhood                          Cuisine\n",
       "9         Cotswold                 Sushi Restaurant\n",
       "12        Cotswold               Chinese Restaurant\n",
       "37        Cotswold               Mexican Restaurant\n",
       "47        Coulwood  Southern / Soul Food Restaurant\n",
       "60      Ballantyne                Indian Restaurant\n",
       "63      Ballantyne                 Asian Restaurant\n",
       "67      Ballantyne              American Restaurant\n",
       "70      Ballantyne                 Asian Restaurant\n",
       "78      Ballantyne                 Greek Restaurant\n",
       "81      Ballantyne               Tex-Mex Restaurant\n",
       "83      Ballantyne               Italian Restaurant\n",
       "85      Ballantyne               Chinese Restaurant\n",
       "89      Ballantyne                 Asian Restaurant\n",
       "91      Ballantyne                Indian Restaurant\n",
       "98      Ballantyne              American Restaurant\n",
       "103     Ballantyne               Mexican Restaurant\n",
       "117       Parkdale               Italian Restaurant\n",
       "118       Parkdale               Mexican Restaurant\n",
       "125       Parkdale              American Restaurant\n",
       "132      South End               Mexican Restaurant\n",
       "134      South End                 Tapas Restaurant\n",
       "137      South End                 Asian Restaurant\n",
       "142      South End              American Restaurant\n",
       "146      South End                Indian Restaurant\n",
       "148      South End              American Restaurant\n",
       "150      South End                 Asian Restaurant\n",
       "151      South End                  Thai Restaurant\n",
       "152      South End              American Restaurant\n",
       "153      South End                       Restaurant\n",
       "155      South End                  Thai Restaurant\n",
       "158      South End    Vegetarian / Vegan Restaurant\n",
       "159      South End               Italian Restaurant\n",
       "161      South End                       Restaurant\n",
       "163      South End               Chinese Restaurant\n",
       "172      South End                French Restaurant\n",
       "183      South End                 Ramen Restaurant\n",
       "191      Elizabeth          New American Restaurant\n",
       "192      Elizabeth          New American Restaurant\n",
       "193      Elizabeth              Peruvian Restaurant\n",
       "197      Elizabeth          New American Restaurant\n",
       "198      Elizabeth               Mexican Restaurant\n",
       "202      Elizabeth               Chinese Restaurant\n",
       "203      Elizabeth                 Greek Restaurant\n",
       "223           NoDa  Southern / Soul Food Restaurant\n",
       "227           NoDa      Eastern European Restaurant\n",
       "228           NoDa               Seafood Restaurant\n",
       "272      SouthPark                French Restaurant\n",
       "274      SouthPark          New American Restaurant\n",
       "276      SouthPark               Chinese Restaurant\n",
       "279      SouthPark              American Restaurant\n",
       "282      SouthPark              American Restaurant\n",
       "284      SouthPark              American Restaurant\n",
       "285      SouthPark               Italian Restaurant\n",
       "290      SouthPark              American Restaurant\n",
       "293      SouthPark               Chinese Restaurant\n",
       "296      SouthPark              American Restaurant\n",
       "308      SouthPark              Japanese Restaurant\n",
       "319      SouthPark    Vegetarian / Vegan Restaurant\n",
       "328      SouthPark               Mexican Restaurant\n",
       "343      SouthPark                 Greek Restaurant\n",
       "355  Plaza-Midwood  Southern / Soul Food Restaurant\n",
       "365  Plaza-Midwood              American Restaurant\n",
       "370  Plaza-Midwood                 Asian Restaurant\n",
       "375  Plaza-Midwood             Caribbean Restaurant\n",
       "382  Plaza-Midwood                       Restaurant\n",
       "391  Plaza-Midwood               Chinese Restaurant"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# As we are focusing only on restaurants let's change the name of the 'Venue Category' column\n",
    "# to 'Restaurant'\n",
    "charlotte_cluster_restaurants.rename(columns={\"Venue Category\": \"Cuisine\"}, inplace=True)\n",
    "charlotte_cluster_restaurants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "556c2c73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "132"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "charlotte_cluster_restaurants.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "4973e867",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Ballantyne</th>\n",
       "      <th>Cotswold</th>\n",
       "      <th>Coulwood</th>\n",
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       "      <th>Parkdale</th>\n",
       "      <th>Plaza-Midwood</th>\n",
       "      <th>South End</th>\n",
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       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cuisine</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>American Restaurant</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <td>3</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>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean Restaurant</th>\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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eastern European Restaurant</th>\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>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>French Restaurant</th>\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>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <td>1</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>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <td>2</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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <td>1</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>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japanese Restaurant</th>\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>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New American Restaurant</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Peruvian Restaurant</th>\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",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ramen Restaurant</th>\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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Restaurant</th>\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>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seafood Restaurant</th>\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>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sushi Restaurant</th>\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",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tapas Restaurant</th>\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>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tex-Mex Restaurant</th>\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",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thai Restaurant</th>\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>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\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>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>17</td>\n",
       "      <td>14</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Neighborhood                     Ballantyne  Cotswold  Coulwood  Elizabeth  \\\n",
       "Cuisine                                                                      \n",
       "American Restaurant                       2         0         0          0   \n",
       "Asian Restaurant                          3         0         0          0   \n",
       "Caribbean Restaurant                      0         0         0          0   \n",
       "Chinese Restaurant                        1         1         0          1   \n",
       "Eastern European Restaurant               0         0         0          0   \n",
       "French Restaurant                         0         0         0          0   \n",
       "Greek Restaurant                          1         0         0          1   \n",
       "Indian Restaurant                         2         0         0          0   \n",
       "Italian Restaurant                        1         0         0          0   \n",
       "Japanese Restaurant                       0         0         0          0   \n",
       "Mexican Restaurant                        1         1         0          1   \n",
       "New American Restaurant                   0         0         0          3   \n",
       "Peruvian Restaurant                       0         0         0          1   \n",
       "Ramen Restaurant                          0         0         0          0   \n",
       "Restaurant                                0         0         0          0   \n",
       "Seafood Restaurant                        0         0         0          0   \n",
       "Southern / Soul Food Restaurant           0         0         1          0   \n",
       "Sushi Restaurant                          0         1         0          0   \n",
       "Tapas Restaurant                          0         0         0          0   \n",
       "Tex-Mex Restaurant                        1         0         0          0   \n",
       "Thai Restaurant                           0         0         0          0   \n",
       "Vegetarian / Vegan Restaurant             0         0         0          0   \n",
       "All                                      12         3         1          7   \n",
       "\n",
       "Neighborhood                     NoDa  Parkdale  Plaza-Midwood  South End  \\\n",
       "Cuisine                                                                     \n",
       "American Restaurant                 0         1              1          3   \n",
       "Asian Restaurant                    0         0              1          2   \n",
       "Caribbean Restaurant                0         0              1          0   \n",
       "Chinese Restaurant                  0         0              1          1   \n",
       "Eastern European Restaurant         1         0              0          0   \n",
       "French Restaurant                   0         0              0          1   \n",
       "Greek Restaurant                    0         0              0          0   \n",
       "Indian Restaurant                   0         0              0          1   \n",
       "Italian Restaurant                  0         1              0          1   \n",
       "Japanese Restaurant                 0         0              0          0   \n",
       "Mexican Restaurant                  0         1              0          1   \n",
       "New American Restaurant             0         0              0          0   \n",
       "Peruvian Restaurant                 0         0              0          0   \n",
       "Ramen Restaurant                    0         0              0          1   \n",
       "Restaurant                          0         0              1          2   \n",
       "Seafood Restaurant                  1         0              0          0   \n",
       "Southern / Soul Food Restaurant     1         0              1          0   \n",
       "Sushi Restaurant                    0         0              0          0   \n",
       "Tapas Restaurant                    0         0              0          1   \n",
       "Tex-Mex Restaurant                  0         0              0          0   \n",
       "Thai Restaurant                     0         0              0          2   \n",
       "Vegetarian / Vegan Restaurant       0         0              0          1   \n",
       "All                                 3         3              6         17   \n",
       "\n",
       "Neighborhood                     SouthPark  All  \n",
       "Cuisine                                          \n",
       "American Restaurant                      5   12  \n",
       "Asian Restaurant                         0    6  \n",
       "Caribbean Restaurant                     0    1  \n",
       "Chinese Restaurant                       2    7  \n",
       "Eastern European Restaurant              0    1  \n",
       "French Restaurant                        1    2  \n",
       "Greek Restaurant                         1    3  \n",
       "Indian Restaurant                        0    3  \n",
       "Italian Restaurant                       1    4  \n",
       "Japanese Restaurant                      1    1  \n",
       "Mexican Restaurant                       1    6  \n",
       "New American Restaurant                  1    4  \n",
       "Peruvian Restaurant                      0    1  \n",
       "Ramen Restaurant                         0    1  \n",
       "Restaurant                               0    3  \n",
       "Seafood Restaurant                       0    1  \n",
       "Southern / Soul Food Restaurant          0    3  \n",
       "Sushi Restaurant                         0    1  \n",
       "Tapas Restaurant                         0    1  \n",
       "Tex-Mex Restaurant                       0    1  \n",
       "Thai Restaurant                          0    2  \n",
       "Vegetarian / Vegan Restaurant            1    2  \n",
       "All                                     14   66  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a crosstab table to get counts foreach cuisine in each neighborhood\n",
    "pd.crosstab(charlotte_cluster_restaurants.Cuisine, charlotte_cluster_restaurants.Neighborhood, margins=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "c40f67e3",
   "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>Neighborhood</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cuisine</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>American Restaurant</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eastern European Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>French Restaurant</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japanese Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New American Restaurant</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Peruvian Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ramen Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Restaurant</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seafood Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tapas Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tex-Mex Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Neighborhood\n",
       "Cuisine                                      \n",
       "American Restaurant                        12\n",
       "Asian Restaurant                            6\n",
       "Caribbean Restaurant                        1\n",
       "Chinese Restaurant                          7\n",
       "Eastern European Restaurant                 1\n",
       "French Restaurant                           2\n",
       "Greek Restaurant                            3\n",
       "Indian Restaurant                           3\n",
       "Italian Restaurant                          4\n",
       "Japanese Restaurant                         1\n",
       "Mexican Restaurant                          6\n",
       "New American Restaurant                     4\n",
       "Peruvian Restaurant                         1\n",
       "Ramen Restaurant                            1\n",
       "Restaurant                                  3\n",
       "Seafood Restaurant                          1\n",
       "Southern / Soul Food Restaurant             3\n",
       "Sushi Restaurant                            1\n",
       "Tapas Restaurant                            1\n",
       "Tex-Mex Restaurant                          1\n",
       "Thai Restaurant                             2\n",
       "Vegetarian / Vegan Restaurant               2"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Group the Cusines so we can see what the most popular cusine types are\n",
    "popular_restaurants = charlotte_cluster_restaurants.groupby('Cuisine').count()\n",
    "popular_restaurants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "e32c6324",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cuisine</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>American Restaurant</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>New American Restaurant</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Restaurant</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>French Restaurant</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Japanese Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Eastern European Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Peruvian Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ramen Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Seafood Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tapas Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tex-Mex Restaurant</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Neighborhood\n",
       "Cuisine                                      \n",
       "American Restaurant                        12\n",
       "Chinese Restaurant                          7\n",
       "Asian Restaurant                            6\n",
       "Mexican Restaurant                          6\n",
       "Italian Restaurant                          4\n",
       "New American Restaurant                     4\n",
       "Greek Restaurant                            3\n",
       "Indian Restaurant                           3\n",
       "Restaurant                                  3\n",
       "Southern / Soul Food Restaurant             3\n",
       "French Restaurant                           2\n",
       "Thai Restaurant                             2\n",
       "Vegetarian / Vegan Restaurant               2\n",
       "Japanese Restaurant                         1\n",
       "Eastern European Restaurant                 1\n",
       "Caribbean Restaurant                        1\n",
       "Peruvian Restaurant                         1\n",
       "Ramen Restaurant                            1\n",
       "Seafood Restaurant                          1\n",
       "Sushi Restaurant                            1\n",
       "Tapas Restaurant                            1\n",
       "Tex-Mex Restaurant                          1"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sort the Cusines into descending order of popularity\n",
    "popular_restaurants.sort_values(by=['Neighborhood'], ascending=False, inplace=True)\n",
    "popular_restaurants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "fd52afde",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cuisine</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Cuisine  Neighborhood\n",
       "0  American Restaurant            12\n",
       "1   Chinese Restaurant             7\n",
       "2     Asian Restaurant             6\n",
       "3   Mexican Restaurant             6\n",
       "4   Italian Restaurant             4"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# What are the top 5 cuisines that we should consider\n",
    "top5 = popular_restaurants.head(5).reset_index(drop=False)\n",
    "top5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "01d16e40",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['American Restaurant',\n",
       " 'Chinese Restaurant',\n",
       " 'Asian Restaurant',\n",
       " 'Mexican Restaurant',\n",
       " 'Italian Restaurant']"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# initialize a list to hold the top5 cuisines\n",
    "top5_list = []\n",
    "\n",
    "for index, row in top5.iterrows():\n",
    "    top5_list.append(row['Cuisine'])\n",
    "\n",
    "top5_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "72e5f8a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Cuisine</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Cotswold</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>Ballantyne</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>Parkdale</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>South End</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>South End</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>South End</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>South End</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>South End</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>South End</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>Elizabeth</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>SouthPark</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>Plaza-Midwood</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Neighborhood              Cuisine\n",
       "12        Cotswold   Chinese Restaurant\n",
       "37        Cotswold   Mexican Restaurant\n",
       "63      Ballantyne     Asian Restaurant\n",
       "67      Ballantyne  American Restaurant\n",
       "70      Ballantyne     Asian Restaurant\n",
       "83      Ballantyne   Italian Restaurant\n",
       "85      Ballantyne   Chinese Restaurant\n",
       "89      Ballantyne     Asian Restaurant\n",
       "98      Ballantyne  American Restaurant\n",
       "103     Ballantyne   Mexican Restaurant\n",
       "117       Parkdale   Italian Restaurant\n",
       "118       Parkdale   Mexican Restaurant\n",
       "125       Parkdale  American Restaurant\n",
       "132      South End   Mexican Restaurant\n",
       "137      South End     Asian Restaurant\n",
       "142      South End  American Restaurant\n",
       "148      South End  American Restaurant\n",
       "150      South End     Asian Restaurant\n",
       "152      South End  American Restaurant\n",
       "159      South End   Italian Restaurant\n",
       "163      South End   Chinese Restaurant\n",
       "198      Elizabeth   Mexican Restaurant\n",
       "202      Elizabeth   Chinese Restaurant\n",
       "276      SouthPark   Chinese Restaurant\n",
       "279      SouthPark  American Restaurant\n",
       "282      SouthPark  American Restaurant\n",
       "284      SouthPark  American Restaurant\n",
       "285      SouthPark   Italian Restaurant\n",
       "290      SouthPark  American Restaurant\n",
       "293      SouthPark   Chinese Restaurant\n",
       "296      SouthPark  American Restaurant\n",
       "328      SouthPark   Mexican Restaurant\n",
       "365  Plaza-Midwood  American Restaurant\n",
       "370  Plaza-Midwood     Asian Restaurant\n",
       "391  Plaza-Midwood   Chinese Restaurant"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create new Dataframe with neighborhoods and top5 cuisines\n",
    "table = charlotte_cluster_restaurants.loc[charlotte_cluster_restaurants['Cuisine'].isin(top5_list)]\n",
    "table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "ebae8647",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Ballantyne</th>\n",
       "      <th>Cotswold</th>\n",
       "      <th>Elizabeth</th>\n",
       "      <th>Parkdale</th>\n",
       "      <th>Plaza-Midwood</th>\n",
       "      <th>South End</th>\n",
       "      <th>SouthPark</th>\n",
       "      <th>All</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cuisine</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>American Restaurant</th>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>All</th>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Neighborhood         Ballantyne  Cotswold  Elizabeth  Parkdale  Plaza-Midwood  \\\n",
       "Cuisine                                                                         \n",
       "American Restaurant           2         0          0         1              1   \n",
       "Asian Restaurant              3         0          0         0              1   \n",
       "Chinese Restaurant            1         1          1         0              1   \n",
       "Italian Restaurant            1         0          0         1              0   \n",
       "Mexican Restaurant            1         1          1         1              0   \n",
       "All                           8         2          2         3              3   \n",
       "\n",
       "Neighborhood         South End  SouthPark  All  \n",
       "Cuisine                                         \n",
       "American Restaurant          3          5   12  \n",
       "Asian Restaurant             2          0    6  \n",
       "Chinese Restaurant           1          2    7  \n",
       "Italian Restaurant           1          1    4  \n",
       "Mexican Restaurant           1          1    6  \n",
       "All                          8          9   35  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a crosstab table to get counts foreach cuisine in each neighborhood\n",
    "pd.crosstab(table.Cuisine, table.Neighborhood, margins=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "71ff847f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
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       "    <tr>\n",
       "      <th>Cuisine</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>American Restaurant</th>\n",
       "      <td>12</td>\n",
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       "    <tr>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Neighborhood\n",
       "Cuisine                          \n",
       "American Restaurant            12\n",
       "Chinese Restaurant              7\n",
       "Asian Restaurant                6\n",
       "Mexican Restaurant              6\n",
       "Italian Restaurant              4"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cuisine_count = table.groupby('Cuisine').count()\n",
    "cuisine_count.sort_values(by=['Neighborhood'], ascending=False, inplace=True)\n",
    "cuisine_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "0baab16a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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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>Cuisine</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SouthPark</th>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ballantyne</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South End</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parkdale</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plaza-Midwood</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cotswold</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elizabeth</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Cuisine\n",
       "Neighborhood          \n",
       "SouthPark            9\n",
       "Ballantyne           8\n",
       "South End            8\n",
       "Parkdale             3\n",
       "Plaza-Midwood        3\n",
       "Cotswold             2\n",
       "Elizabeth            2"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "neighborhood_count = table.groupby('Neighborhood').count()\n",
    "neighborhood_count.sort_values(by=['Cuisine'], ascending=False, inplace=True)\n",
    "neighborhood_count"
   ]
  }
 ],
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