San_Diego_Notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# IBM Data Science Capstone Project\n",
    "*Opening a Mexican Restaurant in San Diego*\n",
    "\n",
    "- Build a dataframe of cities in San Diego, CA through web-scraping and preprocessing\n",
    "- Retrieve the geographical coordinates of each city\n",
    "- Query venue data for each city by leveraging FourSquare API data\n",
    "- Explore and cluster the cities using kmeans machine-learning algorithm\n",
    "- Determine the best cluster to open a new Mexican Restaurant in San Diego"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__1. Scrape the web and create a dataframe of San Diego cities.__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "There are 18 cities in the dataframe\n",
      "\n"
     ]
    },
    {
     "data": {
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       "<style scoped>\n",
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       "        vertical-align: middle;\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>City</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carlsbad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chula Vista</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Coronado</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Del Mar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>El Cajon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Encinitas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Escondido</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Imperial Beach</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>La Mesa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lemon Grove</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>National City</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Oceanside</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Poway</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>San Diego</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>San Marcos</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Santee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Solana Beach</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Vista</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              City\n",
       "0         Carlsbad\n",
       "1      Chula Vista\n",
       "2         Coronado\n",
       "3          Del Mar\n",
       "4         El Cajon\n",
       "5        Encinitas\n",
       "6        Escondido\n",
       "7   Imperial Beach\n",
       "8          La Mesa\n",
       "9      Lemon Grove\n",
       "10   National City\n",
       "11       Oceanside\n",
       "12           Poway\n",
       "13       San Diego\n",
       "14      San Marcos\n",
       "15          Santee\n",
       "16    Solana Beach\n",
       "17           Vista"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import dependencies\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from bs4 import BeautifulSoup\n",
    "import requests\n",
    "from pandas import DataFrame\n",
    "\n",
    "# Define html variable\n",
    "html = \"https://en.wikipedia.org/wiki/Category:Cities_in_San_Diego_County,_California\"\n",
    "contents = requests.get(html).text\n",
    "# Define soup variable\n",
    "soup = BeautifulSoup(contents, 'html.parser')\n",
    "# Empty list to append cities\n",
    "city_list = []\n",
    "\n",
    "# # Need to parse through DOM to know which table to scrape\n",
    "for row in soup.find_all(\"div\", class_=\"mw-category\")[1].findAll(\"li\"):\n",
    "    city_list.append(row.text)\n",
    "\n",
    "df1 = pd.DataFrame({\"City\": city_list})\n",
    "# All outputs are of the form 'City_Name, Californa'\n",
    "# Only want city names! Use split function.\n",
    "df1[\"City\"] = df1[\"City\"].str.split(\",\").str[0]\n",
    "num_cities = df1.shape[0]\n",
    "\n",
    "print(\"\")\n",
    "print(f'There are {num_cities} cities in the dataframe')\n",
    "print(\"\")\n",
    "df1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__2. Retrieve the geographical coordinates of each city.__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopy\n",
    "from geopy.geocoders import  Nominatim\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"sd_explorer\")\n",
    "\n",
    "\n",
    "lats = []\n",
    "longs = []\n",
    "\n",
    "for city in df1[\"City\"]:\n",
    "    address = city\n",
    "    location = geolocator.geocode(address)\n",
    "    latitude = location.latitude\n",
    "    longitude = location.longitude\n",
    "    lats.append(latitude)\n",
    "    longs.append(longitude)\n",
    "\n",
    "df1[\"Latitude\"] = lats\n",
    "df1[\"Longitude\"] = longs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Install and import folium as map rendering library\n",
    "# !conda install -c conda-forge folium=0.5.0 --yes\n",
    "import folium\n",
    "\n",
    "# Matplotlib and associated plotting modules\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "# Import k-means from clustering stage from SciKit-Learn\n",
    "\n",
    "from sklearn.cluster import KMeans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of San Diego are 32.7174202, -117.1627728.\n"
     ]
    }
   ],
   "source": [
    "address = 'San Diego, CA, USA'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"sd_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of San Diego are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "        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>City</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>33.158093</td>\n",
       "      <td>-117.350597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chula Vista</td>\n",
       "      <td>32.640054</td>\n",
       "      <td>-117.084196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Coronado</td>\n",
       "      <td>32.691520</td>\n",
       "      <td>-117.176695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Del Mar</td>\n",
       "      <td>32.959489</td>\n",
       "      <td>-117.265315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>El Cajon</td>\n",
       "      <td>32.794773</td>\n",
       "      <td>-116.962526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Encinitas</td>\n",
       "      <td>33.036987</td>\n",
       "      <td>-117.291982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Escondido</td>\n",
       "      <td>33.121675</td>\n",
       "      <td>-117.081485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Imperial Beach</td>\n",
       "      <td>32.583944</td>\n",
       "      <td>-117.113085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>La Mesa</td>\n",
       "      <td>32.772404</td>\n",
       "      <td>-117.029327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lemon Grove</td>\n",
       "      <td>32.742552</td>\n",
       "      <td>-117.031417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>National City</td>\n",
       "      <td>32.678109</td>\n",
       "      <td>-117.099197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Oceanside</td>\n",
       "      <td>33.195870</td>\n",
       "      <td>-117.379483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Poway</td>\n",
       "      <td>32.962823</td>\n",
       "      <td>-117.035865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>San Diego</td>\n",
       "      <td>32.717420</td>\n",
       "      <td>-117.162773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>San Marcos</td>\n",
       "      <td>33.135021</td>\n",
       "      <td>-117.174330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Santee</td>\n",
       "      <td>32.838383</td>\n",
       "      <td>-116.973917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Solana Beach</td>\n",
       "      <td>32.990560</td>\n",
       "      <td>-117.269131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Vista</td>\n",
       "      <td>33.200037</td>\n",
       "      <td>-117.242536</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              City   Latitude   Longitude\n",
       "0         Carlsbad  33.158093 -117.350597\n",
       "1      Chula Vista  32.640054 -117.084196\n",
       "2         Coronado  32.691520 -117.176695\n",
       "3          Del Mar  32.959489 -117.265315\n",
       "4         El Cajon  32.794773 -116.962526\n",
       "5        Encinitas  33.036987 -117.291982\n",
       "6        Escondido  33.121675 -117.081485\n",
       "7   Imperial Beach  32.583944 -117.113085\n",
       "8          La Mesa  32.772404 -117.029327\n",
       "9      Lemon Grove  32.742552 -117.031417\n",
       "10   National City  32.678109 -117.099197\n",
       "11       Oceanside  33.195870 -117.379483\n",
       "12           Poway  32.962823 -117.035865\n",
       "13       San Diego  32.717420 -117.162773\n",
       "14      San Marcos  33.135021 -117.174330\n",
       "15          Santee  32.838383 -116.973917\n",
       "16    Solana Beach  32.990560 -117.269131\n",
       "17           Vista  33.200037 -117.242536"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Both San Marcos and La Mesa are not charted correctly\n",
    "la_mesa_lat = 32.772404\n",
    "la_mesa_long = -117.029327\n",
    "san_marcos_lat = 33.1350206\n",
    "san_marcos_long = -117.17433\n",
    "# Replace the incorrect data values\n",
    "df1.loc[df1[\"City\"] == \"La Mesa\", \"Latitude\"] = la_mesa_lat\n",
    "df1.loc[df1[\"City\"] == \"La Mesa\", \"Longitude\"] = la_mesa_long\n",
    "df1.loc[df1[\"City\"] == \"San Marcos\", \"Latitude\"] = san_marcos_lat\n",
    "df1.loc[df1[\"City\"] == \"San Marcos\", \"Longitude\"] = san_marcos_long\n",
    "# What does the dataframe look like now?\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "&lt;body&gt;    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_f93738c54e7fbeabb1f667c028fbb0fe&quot; &gt;&lt;/div&gt;\n",
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       "\n",
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       "            \n",
       "\n",
       "            var map_f93738c54e7fbeabb1f667c028fbb0fe = L.map(\n",
       "                                  &#x27;map_f93738c54e7fbeabb1f667c028fbb0fe&#x27;,\n",
       "                                  {center: [32.7174202,-117.1627728],\n",
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       "                &#x27;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&#x27;,\n",
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       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
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       "\n",
       "            \n",
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       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_77da36f855f5e19ea0909a9ddcc778b7 = L.circleMarker(\n",
       "                [32.6400541,-117.0841955],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_77f3b95d9a2713fc165e82d15e62e723 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_f92c322e550c48eb7e1683476834c020 = $(&#x27;&lt;div id=&quot;html_f92c322e550c48eb7e1683476834c020&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Chula Vista&lt;/div&gt;&#x27;)[0];\n",
       "                popup_77f3b95d9a2713fc165e82d15e62e723.setContent(html_f92c322e550c48eb7e1683476834c020);\n",
       "            \n",
       "\n",
       "            circle_marker_77da36f855f5e19ea0909a9ddcc778b7.bindPopup(popup_77f3b95d9a2713fc165e82d15e62e723);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_27009a76f2612d298da763fbdb2c5d6f = L.circleMarker(\n",
       "                [32.6915199,-117.1766947],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_c8fdaf8fb6d8fae371ec05c54f48fee4 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_cd8c81faa210af5ce3561efecc273f64 = $(&#x27;&lt;div id=&quot;html_cd8c81faa210af5ce3561efecc273f64&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Coronado&lt;/div&gt;&#x27;)[0];\n",
       "                popup_c8fdaf8fb6d8fae371ec05c54f48fee4.setContent(html_cd8c81faa210af5ce3561efecc273f64);\n",
       "            \n",
       "\n",
       "            circle_marker_27009a76f2612d298da763fbdb2c5d6f.bindPopup(popup_c8fdaf8fb6d8fae371ec05c54f48fee4);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_fd357aee2dd25f97d318ad0a4c91d9db = L.circleMarker(\n",
       "                [32.9594891,-117.2653146],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_076aa591b1cc19cdbe11833e2b3b72f6 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_443acf526d2ba7dcd7dc49efc9747f48 = $(&#x27;&lt;div id=&quot;html_443acf526d2ba7dcd7dc49efc9747f48&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Del Mar&lt;/div&gt;&#x27;)[0];\n",
       "                popup_076aa591b1cc19cdbe11833e2b3b72f6.setContent(html_443acf526d2ba7dcd7dc49efc9747f48);\n",
       "            \n",
       "\n",
       "            circle_marker_fd357aee2dd25f97d318ad0a4c91d9db.bindPopup(popup_076aa591b1cc19cdbe11833e2b3b72f6);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_5b534d95cf0a99d5662ad6ae0dbf04c5 = L.circleMarker(\n",
       "                [32.7947731,-116.962526],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_bcbd15069eaf10cac1f0a86537f7a28e = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_67c21d8ab2db286c3dae0fb42e08828e = $(&#x27;&lt;div id=&quot;html_67c21d8ab2db286c3dae0fb42e08828e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;El Cajon&lt;/div&gt;&#x27;)[0];\n",
       "                popup_bcbd15069eaf10cac1f0a86537f7a28e.setContent(html_67c21d8ab2db286c3dae0fb42e08828e);\n",
       "            \n",
       "\n",
       "            circle_marker_5b534d95cf0a99d5662ad6ae0dbf04c5.bindPopup(popup_bcbd15069eaf10cac1f0a86537f7a28e);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_eac1d2014a2a3ea754b53418c21d208b = L.circleMarker(\n",
       "                [33.0369867,-117.2919818],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_454a5e3945e634a242608c1ce10f48ec = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_6f1c2ace948181fe8c48030d6868b6d8 = $(&#x27;&lt;div id=&quot;html_6f1c2ace948181fe8c48030d6868b6d8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Encinitas&lt;/div&gt;&#x27;)[0];\n",
       "                popup_454a5e3945e634a242608c1ce10f48ec.setContent(html_6f1c2ace948181fe8c48030d6868b6d8);\n",
       "            \n",
       "\n",
       "            circle_marker_eac1d2014a2a3ea754b53418c21d208b.bindPopup(popup_454a5e3945e634a242608c1ce10f48ec);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_bca1c381f11c7d1dc73db2e0b59aacb3 = L.circleMarker(\n",
       "                [33.1216751,-117.0814849],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_682fd01dbe30ea411dec98e2978de776 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_f17130bc75b693eddf0f937e4337428a = $(&#x27;&lt;div id=&quot;html_f17130bc75b693eddf0f937e4337428a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Escondido&lt;/div&gt;&#x27;)[0];\n",
       "                popup_682fd01dbe30ea411dec98e2978de776.setContent(html_f17130bc75b693eddf0f937e4337428a);\n",
       "            \n",
       "\n",
       "            circle_marker_bca1c381f11c7d1dc73db2e0b59aacb3.bindPopup(popup_682fd01dbe30ea411dec98e2978de776);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_abe2e1f2cf0a2310eaa2d59b79efda50 = L.circleMarker(\n",
       "                [32.5839444,-117.1130849],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_3af9a420885dea59db204e10f48658e8 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_a3969737e0909eb100a3da57b8541863 = $(&#x27;&lt;div id=&quot;html_a3969737e0909eb100a3da57b8541863&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Imperial Beach&lt;/div&gt;&#x27;)[0];\n",
       "                popup_3af9a420885dea59db204e10f48658e8.setContent(html_a3969737e0909eb100a3da57b8541863);\n",
       "            \n",
       "\n",
       "            circle_marker_abe2e1f2cf0a2310eaa2d59b79efda50.bindPopup(popup_3af9a420885dea59db204e10f48658e8);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_2d2d5cca9e7723c0a3a5288724f97b64 = L.circleMarker(\n",
       "                [32.772404,-117.029327],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_9d0d0efd38fc2097b4192ff31de64c8c = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_291f20eb7c6efeb240252c0d62574dac = $(&#x27;&lt;div id=&quot;html_291f20eb7c6efeb240252c0d62574dac&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Mesa&lt;/div&gt;&#x27;)[0];\n",
       "                popup_9d0d0efd38fc2097b4192ff31de64c8c.setContent(html_291f20eb7c6efeb240252c0d62574dac);\n",
       "            \n",
       "\n",
       "            circle_marker_2d2d5cca9e7723c0a3a5288724f97b64.bindPopup(popup_9d0d0efd38fc2097b4192ff31de64c8c);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_1c8dffd06f7b499ad5a99be4d25dcba7 = L.circleMarker(\n",
       "                [32.7425516,-117.0314172],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_43dbb58e7a42572d6abeecdc95824aa9 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_8d2f730e539454a11c4e235e13c3ffca = $(&#x27;&lt;div id=&quot;html_8d2f730e539454a11c4e235e13c3ffca&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Lemon Grove&lt;/div&gt;&#x27;)[0];\n",
       "                popup_43dbb58e7a42572d6abeecdc95824aa9.setContent(html_8d2f730e539454a11c4e235e13c3ffca);\n",
       "            \n",
       "\n",
       "            circle_marker_1c8dffd06f7b499ad5a99be4d25dcba7.bindPopup(popup_43dbb58e7a42572d6abeecdc95824aa9);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_9140c6b1921d16f96f2e6d3b8d460a82 = L.circleMarker(\n",
       "                [32.6781085,-117.0991967],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_be88bd6616ddb4240b20a3647ddb3138 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_4d28636f73d42e61881f65d85371ba39 = $(&#x27;&lt;div id=&quot;html_4d28636f73d42e61881f65d85371ba39&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;National City&lt;/div&gt;&#x27;)[0];\n",
       "                popup_be88bd6616ddb4240b20a3647ddb3138.setContent(html_4d28636f73d42e61881f65d85371ba39);\n",
       "            \n",
       "\n",
       "            circle_marker_9140c6b1921d16f96f2e6d3b8d460a82.bindPopup(popup_be88bd6616ddb4240b20a3647ddb3138);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_39bbcb47f5999daaeb97e5bcabf38e54 = L.circleMarker(\n",
       "                [33.1958696,-117.3794834],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_0932aa52dcd18ccef841d2a1038ff52e = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_637fdc1e40cd766b3d8e240f5f5b58ca = $(&#x27;&lt;div id=&quot;html_637fdc1e40cd766b3d8e240f5f5b58ca&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Oceanside&lt;/div&gt;&#x27;)[0];\n",
       "                popup_0932aa52dcd18ccef841d2a1038ff52e.setContent(html_637fdc1e40cd766b3d8e240f5f5b58ca);\n",
       "            \n",
       "\n",
       "            circle_marker_39bbcb47f5999daaeb97e5bcabf38e54.bindPopup(popup_0932aa52dcd18ccef841d2a1038ff52e);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_d54b298227e5fc12918e9055e8875e1b = L.circleMarker(\n",
       "                [32.9628234,-117.0358646],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_e49af387e3b8a1a1dac693a2a2169731 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_7ff1209eab8c6cfd997580039304e642 = $(&#x27;&lt;div id=&quot;html_7ff1209eab8c6cfd997580039304e642&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Poway&lt;/div&gt;&#x27;)[0];\n",
       "                popup_e49af387e3b8a1a1dac693a2a2169731.setContent(html_7ff1209eab8c6cfd997580039304e642);\n",
       "            \n",
       "\n",
       "            circle_marker_d54b298227e5fc12918e9055e8875e1b.bindPopup(popup_e49af387e3b8a1a1dac693a2a2169731);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_bbf27b6fb4cc6f0f48162115f43a12c4 = L.circleMarker(\n",
       "                [32.7174202,-117.1627728],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_2331eb717f2e664f29d37bd166b1ca62 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_6141de0d5bbeff7cb8715008ed8260f1 = $(&#x27;&lt;div id=&quot;html_6141de0d5bbeff7cb8715008ed8260f1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;San Diego&lt;/div&gt;&#x27;)[0];\n",
       "                popup_2331eb717f2e664f29d37bd166b1ca62.setContent(html_6141de0d5bbeff7cb8715008ed8260f1);\n",
       "            \n",
       "\n",
       "            circle_marker_bbf27b6fb4cc6f0f48162115f43a12c4.bindPopup(popup_2331eb717f2e664f29d37bd166b1ca62);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_8a7ec3f26e79435b6039affa00ac769d = L.circleMarker(\n",
       "                [33.1350206,-117.17433],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_1f1c7f1b467ce01394f1038e9c3039b9 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_bf860c6776da8c7e84ae90c3b555e880 = $(&#x27;&lt;div id=&quot;html_bf860c6776da8c7e84ae90c3b555e880&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;San Marcos&lt;/div&gt;&#x27;)[0];\n",
       "                popup_1f1c7f1b467ce01394f1038e9c3039b9.setContent(html_bf860c6776da8c7e84ae90c3b555e880);\n",
       "            \n",
       "\n",
       "            circle_marker_8a7ec3f26e79435b6039affa00ac769d.bindPopup(popup_1f1c7f1b467ce01394f1038e9c3039b9);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_17a357b0472ee69a17532f1e4611b34d = L.circleMarker(\n",
       "                [32.8383828,-116.9739167],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_16dcb89cee7f047b4649dd471cd35070 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_e23e8adad45fbc118f17e35b8232acf6 = $(&#x27;&lt;div id=&quot;html_e23e8adad45fbc118f17e35b8232acf6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Santee&lt;/div&gt;&#x27;)[0];\n",
       "                popup_16dcb89cee7f047b4649dd471cd35070.setContent(html_e23e8adad45fbc118f17e35b8232acf6);\n",
       "            \n",
       "\n",
       "            circle_marker_17a357b0472ee69a17532f1e4611b34d.bindPopup(popup_16dcb89cee7f047b4649dd471cd35070);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_eef8728a209d5095c0e1fc69b4f1101c = L.circleMarker(\n",
       "                [32.9905597,-117.269131],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_fd7d5bcaba67787b040368d916a7826a = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_6b42ada372dfbc7809acebee15a96597 = $(&#x27;&lt;div id=&quot;html_6b42ada372dfbc7809acebee15a96597&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Solana Beach&lt;/div&gt;&#x27;)[0];\n",
       "                popup_fd7d5bcaba67787b040368d916a7826a.setContent(html_6b42ada372dfbc7809acebee15a96597);\n",
       "            \n",
       "\n",
       "            circle_marker_eef8728a209d5095c0e1fc69b4f1101c.bindPopup(popup_fd7d5bcaba67787b040368d916a7826a);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_62e69f9c7c0190ae9267864127d467c0 = L.circleMarker(\n",
       "                [33.2000368,-117.2425355],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;blue&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#3186cc&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 5.3,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_f93738c54e7fbeabb1f667c028fbb0fe);\n",
       "            \n",
       "    \n",
       "            var popup_e0d69e4ddd9f2f6e473d382da4fcf0fa = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_e0d2bf8be7b82c61302c7e5072f951e5 = $(&#x27;&lt;div id=&quot;html_e0d2bf8be7b82c61302c7e5072f951e5&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Vista&lt;/div&gt;&#x27;)[0];\n",
       "                popup_e0d69e4ddd9f2f6e473d382da4fcf0fa.setContent(html_e0d2bf8be7b82c61302c7e5072f951e5);\n",
       "            \n",
       "\n",
       "            circle_marker_62e69f9c7c0190ae9267864127d467c0.bindPopup(popup_e0d69e4ddd9f2f6e473d382da4fcf0fa);\n",
       "\n",
       "            \n",
       "        \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x21ac2271850>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_sd_1 = folium.Map(location=[latitude, longitude], zoom_start = 10)\n",
    "\n",
    "# # add markers to map\n",
    "\n",
    "sd_city = df1[\"City\"]\n",
    "sd_lat = df1[\"Latitude\"]\n",
    "sd_long = df1[\"Longitude\"]\n",
    "\n",
    "for lat, long, city in zip(sd_lat, sd_long, sd_city):\n",
    "    label = '{}'.format(city)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, long],\n",
    "        radius=5.3,\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_sd_1)\n",
    "\n",
    "map_sd_1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__3. Query venue data for each city by leveraging FourSquare API data.__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [],
   "source": [
    "from config import client_id, client_secret\n",
    "# client_id = 'YOUR CODE HERE'\n",
    "# client_secret = 'YOUR CODE HERE'\n",
    "\n",
    "# print(\"You'll need to provide your own information here!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Defining a function to return venues within a 2000 meter radius of each city\n",
    "\n",
    "def getNearbyVenues(names, latitudes, longitudes, radius=2000, limit=100):\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",
    "            20220721, # whatever date you want to input\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 = ['City', \n",
    "                  'City Latitude', \n",
    "                  'City Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%capture\n",
    "sd_venues = getNearbyVenues(names=sd_city,\n",
    "                                   latitudes=sd_lat,\n",
    "                                   longitudes=sd_long\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 1677 rows and 7 columns in the dataframe below\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>City</th>\n",
       "      <th>City Latitude</th>\n",
       "      <th>City 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>Carlsbad</td>\n",
       "      <td>33.158093</td>\n",
       "      <td>-117.350597</td>\n",
       "      <td>Cafe Elysa</td>\n",
       "      <td>33.157190</td>\n",
       "      <td>-117.350444</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>33.158093</td>\n",
       "      <td>-117.350597</td>\n",
       "      <td>Gaia Gelato</td>\n",
       "      <td>33.159270</td>\n",
       "      <td>-117.350831</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>33.158093</td>\n",
       "      <td>-117.350597</td>\n",
       "      <td>Naked Cafe</td>\n",
       "      <td>33.159075</td>\n",
       "      <td>-117.350506</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>33.158093</td>\n",
       "      <td>-117.350597</td>\n",
       "      <td>Choice Juicery</td>\n",
       "      <td>33.159605</td>\n",
       "      <td>-117.348978</td>\n",
       "      <td>Juice Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>33.158093</td>\n",
       "      <td>-117.350597</td>\n",
       "      <td>Park 101</td>\n",
       "      <td>33.157881</td>\n",
       "      <td>-117.350468</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1672</th>\n",
       "      <td>Vista</td>\n",
       "      <td>33.200037</td>\n",
       "      <td>-117.242536</td>\n",
       "      <td>CVS pharmacy</td>\n",
       "      <td>33.193270</td>\n",
       "      <td>-117.235459</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1673</th>\n",
       "      <td>Vista</td>\n",
       "      <td>33.200037</td>\n",
       "      <td>-117.242536</td>\n",
       "      <td>7-Eleven</td>\n",
       "      <td>33.212160</td>\n",
       "      <td>-117.245407</td>\n",
       "      <td>Convenience Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1674</th>\n",
       "      <td>Vista</td>\n",
       "      <td>33.200037</td>\n",
       "      <td>-117.242536</td>\n",
       "      <td>Carl's Jr.</td>\n",
       "      <td>33.193259</td>\n",
       "      <td>-117.255762</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1675</th>\n",
       "      <td>Vista</td>\n",
       "      <td>33.200037</td>\n",
       "      <td>-117.242536</td>\n",
       "      <td>Eriberto's Mexican Food</td>\n",
       "      <td>33.193469</td>\n",
       "      <td>-117.234210</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1676</th>\n",
       "      <td>Vista</td>\n",
       "      <td>33.200037</td>\n",
       "      <td>-117.242536</td>\n",
       "      <td>Zappy Pizza</td>\n",
       "      <td>33.192187</td>\n",
       "      <td>-117.252165</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1677 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          City  City Latitude  City Longitude                    Venue  \\\n",
       "0     Carlsbad      33.158093     -117.350597               Cafe Elysa   \n",
       "1     Carlsbad      33.158093     -117.350597              Gaia Gelato   \n",
       "2     Carlsbad      33.158093     -117.350597               Naked Cafe   \n",
       "3     Carlsbad      33.158093     -117.350597           Choice Juicery   \n",
       "4     Carlsbad      33.158093     -117.350597                 Park 101   \n",
       "...        ...            ...             ...                      ...   \n",
       "1672     Vista      33.200037     -117.242536             CVS pharmacy   \n",
       "1673     Vista      33.200037     -117.242536                 7-Eleven   \n",
       "1674     Vista      33.200037     -117.242536               Carl's Jr.   \n",
       "1675     Vista      33.200037     -117.242536  Eriberto's Mexican Food   \n",
       "1676     Vista      33.200037     -117.242536              Zappy Pizza   \n",
       "\n",
       "      Venue Latitude  Venue Longitude        Venue Category  \n",
       "0          33.157190      -117.350444                Bakery  \n",
       "1          33.159270      -117.350831        Ice Cream Shop  \n",
       "2          33.159075      -117.350506        Breakfast Spot  \n",
       "3          33.159605      -117.348978             Juice Bar  \n",
       "4          33.157881      -117.350468                  Café  \n",
       "...              ...              ...                   ...  \n",
       "1672       33.193270      -117.235459              Pharmacy  \n",
       "1673       33.212160      -117.245407     Convenience Store  \n",
       "1674       33.193259      -117.255762  Fast Food Restaurant  \n",
       "1675       33.193469      -117.234210    Mexican Restaurant  \n",
       "1676       33.192187      -117.252165           Pizza Place  \n",
       "\n",
       "[1677 rows x 7 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(f'There are {sd_venues.shape[0]} rows and {sd_venues.shape[1]} columns in the dataframe below')\n",
    "sd_venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>City Latitude</th>\n",
       "      <th>City 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>City</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>Carlsbad</th>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chula Vista</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coronado</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Del Mar</th>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>El Cajon</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Encinitas</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Escondido</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Imperial Beach</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>La Mesa</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lemon Grove</th>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>National City</th>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oceanside</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Poway</th>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Diego</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>San Marcos</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Santee</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Solana Beach</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Vista</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                City Latitude  City Longitude  Venue  Venue Latitude  \\\n",
       "City                                                                   \n",
       "Carlsbad                   82              82     82              82   \n",
       "Chula Vista               100             100    100             100   \n",
       "Coronado                  100             100    100             100   \n",
       "Del Mar                    66              66     66              66   \n",
       "El Cajon                  100             100    100             100   \n",
       "Encinitas                 100             100    100             100   \n",
       "Escondido                 100             100    100             100   \n",
       "Imperial Beach            100             100    100             100   \n",
       "La Mesa                   100             100    100             100   \n",
       "Lemon Grove                72              72     72              72   \n",
       "National City              94              94     94              94   \n",
       "Oceanside                 100             100    100             100   \n",
       "Poway                      63              63     63              63   \n",
       "San Diego                 100             100    100             100   \n",
       "San Marcos                100             100    100             100   \n",
       "Santee                    100             100    100             100   \n",
       "Solana Beach              100             100    100             100   \n",
       "Vista                     100             100    100             100   \n",
       "\n",
       "                Venue Longitude  Venue Category  \n",
       "City                                             \n",
       "Carlsbad                     82              82  \n",
       "Chula Vista                 100             100  \n",
       "Coronado                    100             100  \n",
       "Del Mar                      66              66  \n",
       "El Cajon                    100             100  \n",
       "Encinitas                   100             100  \n",
       "Escondido                   100             100  \n",
       "Imperial Beach              100             100  \n",
       "La Mesa                     100             100  \n",
       "Lemon Grove                  72              72  \n",
       "National City                94              94  \n",
       "Oceanside                   100             100  \n",
       "Poway                        63              63  \n",
       "San Diego                   100             100  \n",
       "San Marcos                  100             100  \n",
       "Santee                      100             100  \n",
       "Solana Beach                100             100  \n",
       "Vista                       100             100  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# How many venues are there in each city?\n",
    "sd_venues.groupby([\"City\"]).count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 234 unique categories.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array(['Bakery', 'Ice Cream Shop', 'Breakfast Spot', 'Juice Bar', 'Café',\n",
       "       'Bar', 'Pizza Place', 'American Restaurant', 'Mexican Restaurant',\n",
       "       'Restaurant', 'Gourmet Shop', 'Beach', 'Massage Studio',\n",
       "       'Salon / Barbershop', 'French Restaurant', 'Asian Restaurant',\n",
       "       'Coffee Shop', 'Wine Bar', 'Boutique', 'Hotel', 'Yoga Studio',\n",
       "       'Record Shop', 'Italian Restaurant', 'Seafood Restaurant',\n",
       "       'Sushi Restaurant', 'Liquor Store', 'Resort', 'Convenience Store',\n",
       "       'Board Shop', 'Grocery Store', 'Smoke Shop', 'Pub', 'Diner',\n",
       "       'Burger Joint', 'Peruvian Restaurant', 'Pharmacy', 'Steakhouse',\n",
       "       'Gas Station', 'Trail', 'Train Station', 'Dive Bar', 'Brewery',\n",
       "       'Multiplex', 'Martial Arts School', 'Lingerie Store', 'Taco Place',\n",
       "       'Gym / Fitness Center', 'Candy Store', 'Vietnamese Restaurant',\n",
       "       'Sandwich Place'], dtype=object)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# How many unique categories can be curated from all the returned venues?\n",
    "print('There are {} unique categories.'.format(len(sd_venues['Venue Category'].unique())))\n",
    "\n",
    "# Preview of unique categories\n",
    "sd_venues['Venue Category'].unique()[:50]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__4. Explore and cluster the cities using kmeans machine-learning algorithm.__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 1677 rows and 235 columns in the dataframe below\n"
     ]
    },
    {
     "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",
       "\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>City</th>\n",
       "      <th>ATM</th>\n",
       "      <th>Accessories Store</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Amphitheater</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>Arcade</th>\n",
       "      <th>Art Gallery</th>\n",
       "      <th>Arts &amp; Crafts Store</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>...</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Video Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Warehouse Store</th>\n",
       "      <th>Whisky Bar</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Zoo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 235 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       City  ATM  Accessories Store  American Restaurant  Amphitheater  \\\n",
       "0  Carlsbad    0                  0                    0             0   \n",
       "1  Carlsbad    0                  0                    0             0   \n",
       "2  Carlsbad    0                  0                    0             0   \n",
       "3  Carlsbad    0                  0                    0             0   \n",
       "4  Carlsbad    0                  0                    0             0   \n",
       "\n",
       "   Antique Shop  Arcade  Art Gallery  Arts & Crafts Store  Asian Restaurant  \\\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",
       "   ...  Video Game Store  Video Store  Vietnamese Restaurant  Warehouse Store  \\\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",
       "   Whisky Bar  Wine Bar  Wine Shop  Wings Joint  Yoga Studio  Zoo  \n",
       "0           0         0          0            0            0    0  \n",
       "1           0         0          0            0            0    0  \n",
       "2           0         0          0            0            0    0  \n",
       "3           0         0          0            0            0    0  \n",
       "4           0         0          0            0            0    0  \n",
       "\n",
       "[5 rows x 235 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "one_hot_sd = pd.get_dummies(sd_venues[['Venue Category']], prefix = \"\", prefix_sep = \"\")\n",
    "\n",
    "# add City column back to sd_venues dataframe\n",
    "one_hot_sd['City'] = sd_venues['City']\n",
    "\n",
    "# move City column to first column\n",
    "fixed_columns = [one_hot_sd.columns[-1]] + list(one_hot_sd.columns[:-1])\n",
    "one_hot_sd = one_hot_sd[fixed_columns]\n",
    "\n",
    "print(f'There are {one_hot_sd.shape[0]} rows and {one_hot_sd.shape[1]} columns in the dataframe below')\n",
    "one_hot_sd.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(18, 235)\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",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City</th>\n",
       "      <th>ATM</th>\n",
       "      <th>Accessories Store</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Amphitheater</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>Arcade</th>\n",
       "      <th>Art Gallery</th>\n",
       "      <th>Arts &amp; Crafts Store</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>...</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Video Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Warehouse Store</th>\n",
       "      <th>Whisky Bar</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Zoo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.036585</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012195</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chula Vista</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Coronado</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</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>Del Mar</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.015152</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.015152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>El Cajon</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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>Encinitas</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Escondido</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</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>Imperial Beach</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>La Mesa</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lemon Grove</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.027778</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013889</td>\n",
       "      <td>0.027778</td>\n",
       "      <td>0.013889</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>National City</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010638</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.021277</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.021277</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010638</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Oceanside</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Poway</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.031746</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.015873</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.015873</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>San Diego</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</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>San Marcos</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Santee</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Solana Beach</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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>Vista</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18 rows × 235 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              City   ATM  Accessories Store  American Restaurant  \\\n",
       "0         Carlsbad  0.00               0.00             0.036585   \n",
       "1      Chula Vista  0.00               0.00             0.010000   \n",
       "2         Coronado  0.00               0.00             0.010000   \n",
       "3          Del Mar  0.00               0.00             0.045455   \n",
       "4         El Cajon  0.00               0.00             0.010000   \n",
       "5        Encinitas  0.00               0.00             0.030000   \n",
       "6        Escondido  0.01               0.00             0.050000   \n",
       "7   Imperial Beach  0.01               0.00             0.030000   \n",
       "8          La Mesa  0.00               0.00             0.030000   \n",
       "9      Lemon Grove  0.00               0.00             0.027778   \n",
       "10   National City  0.00               0.00             0.010638   \n",
       "11       Oceanside  0.00               0.01             0.080000   \n",
       "12           Poway  0.00               0.00             0.031746   \n",
       "13       San Diego  0.00               0.00             0.040000   \n",
       "14      San Marcos  0.00               0.00             0.010000   \n",
       "15          Santee  0.00               0.00             0.020000   \n",
       "16    Solana Beach  0.00               0.00             0.040000   \n",
       "17           Vista  0.02               0.00             0.030000   \n",
       "\n",
       "    Amphitheater  Antique Shop  Arcade  Art Gallery  Arts & Crafts Store  \\\n",
       "0           0.00          0.00    0.00         0.00             0.000000   \n",
       "1           0.00          0.00    0.00         0.00             0.010000   \n",
       "2           0.01          0.00    0.00         0.00             0.000000   \n",
       "3           0.00          0.00    0.00         0.00             0.000000   \n",
       "4           0.00          0.00    0.00         0.00             0.000000   \n",
       "5           0.00          0.00    0.00         0.00             0.020000   \n",
       "6           0.00          0.01    0.00         0.00             0.010000   \n",
       "7           0.00          0.00    0.00         0.00             0.000000   \n",
       "8           0.00          0.01    0.01         0.00             0.010000   \n",
       "9           0.00          0.00    0.00         0.00             0.000000   \n",
       "10          0.00          0.00    0.00         0.00             0.000000   \n",
       "11          0.00          0.00    0.00         0.00             0.000000   \n",
       "12          0.00          0.00    0.00         0.00             0.015873   \n",
       "13          0.00          0.00    0.00         0.01             0.000000   \n",
       "14          0.00          0.00    0.00         0.00             0.010000   \n",
       "15          0.00          0.00    0.00         0.00             0.010000   \n",
       "16          0.00          0.00    0.00         0.00             0.000000   \n",
       "17          0.00          0.00    0.00         0.00             0.000000   \n",
       "\n",
       "    Asian Restaurant  ...  Video Game Store  Video Store  \\\n",
       "0           0.024390  ...          0.000000     0.000000   \n",
       "1           0.000000  ...          0.010000     0.000000   \n",
       "2           0.010000  ...          0.000000     0.000000   \n",
       "3           0.000000  ...          0.000000     0.000000   \n",
       "4           0.000000  ...          0.000000     0.000000   \n",
       "5           0.010000  ...          0.000000     0.010000   \n",
       "6           0.000000  ...          0.000000     0.010000   \n",
       "7           0.000000  ...          0.000000     0.000000   \n",
       "8           0.000000  ...          0.000000     0.000000   \n",
       "9           0.000000  ...          0.013889     0.027778   \n",
       "10          0.021277  ...          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          0.010000  ...          0.000000     0.010000   \n",
       "15          0.000000  ...          0.000000     0.010000   \n",
       "16          0.000000  ...          0.000000     0.000000   \n",
       "17          0.000000  ...          0.020000     0.020000   \n",
       "\n",
       "    Vietnamese Restaurant  Warehouse Store  Whisky Bar  Wine Bar  Wine Shop  \\\n",
       "0                0.000000             0.00        0.00  0.024390       0.00   \n",
       "1                0.020000             0.01        0.00  0.000000       0.00   \n",
       "2                0.000000             0.00        0.00  0.010000       0.01   \n",
       "3                0.000000             0.00        0.00  0.015152       0.00   \n",
       "4                0.000000             0.00        0.00  0.000000       0.00   \n",
       "5                0.010000             0.00        0.00  0.010000       0.00   \n",
       "6                0.020000             0.00        0.00  0.010000       0.01   \n",
       "7                0.000000             0.00        0.00  0.000000       0.00   \n",
       "8                0.010000             0.01        0.00  0.020000       0.00   \n",
       "9                0.013889             0.00        0.00  0.000000       0.00   \n",
       "10               0.021277             0.00        0.00  0.000000       0.00   \n",
       "11               0.010000             0.00        0.00  0.000000       0.00   \n",
       "12               0.000000             0.00        0.00  0.000000       0.00   \n",
       "13               0.000000             0.00        0.01  0.020000       0.00   \n",
       "14               0.010000             0.00        0.00  0.000000       0.00   \n",
       "15               0.020000             0.01        0.00  0.000000       0.00   \n",
       "16               0.000000             0.00        0.00  0.000000       0.00   \n",
       "17               0.010000             0.00        0.00  0.000000       0.00   \n",
       "\n",
       "    Wings Joint  Yoga Studio       Zoo  \n",
       "0      0.000000     0.012195  0.000000  \n",
       "1      0.010000     0.000000  0.000000  \n",
       "2      0.000000     0.000000  0.000000  \n",
       "3      0.000000     0.000000  0.015152  \n",
       "4      0.000000     0.000000  0.000000  \n",
       "5      0.000000     0.020000  0.000000  \n",
       "6      0.000000     0.000000  0.000000  \n",
       "7      0.020000     0.000000  0.000000  \n",
       "8      0.010000     0.010000  0.000000  \n",
       "9      0.000000     0.000000  0.000000  \n",
       "10     0.010638     0.000000  0.000000  \n",
       "11     0.000000     0.000000  0.000000  \n",
       "12     0.015873     0.000000  0.000000  \n",
       "13     0.000000     0.000000  0.000000  \n",
       "14     0.000000     0.000000  0.000000  \n",
       "15     0.020000     0.000000  0.000000  \n",
       "16     0.000000     0.000000  0.000000  \n",
       "17     0.020000     0.000000  0.000000  \n",
       "\n",
       "[18 rows x 235 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Grouping rows by city\n",
    "\n",
    "one_hot_group = one_hot_sd.groupby([\"City\"]).mean().reset_index()\n",
    "\n",
    "print(one_hot_group.shape)\n",
    "\n",
    "one_hot_group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Carlsbad----\n",
      "            venue  freq\n",
      "0           Beach  0.12\n",
      "1            Café  0.05\n",
      "2     Pizza Place  0.05\n",
      "3           Hotel  0.05\n",
      "4  Breakfast Spot  0.05\n",
      "\n",
      "\n",
      "----Chula Vista----\n",
      "                venue  freq\n",
      "0  Mexican Restaurant  0.09\n",
      "1   Convenience Store  0.04\n",
      "2       Grocery Store  0.04\n",
      "3         Coffee Shop  0.03\n",
      "4          Taco Place  0.03\n",
      "\n",
      "\n",
      "----Coronado----\n",
      "                venue  freq\n",
      "0                Park  0.08\n",
      "1               Hotel  0.05\n",
      "2  Seafood Restaurant  0.05\n",
      "3      Sandwich Place  0.04\n",
      "4  Mexican Restaurant  0.04\n",
      "\n",
      "\n",
      "----Del Mar----\n",
      "                 venue  freq\n",
      "0                Beach  0.09\n",
      "1            Surf Spot  0.05\n",
      "2  American Restaurant  0.05\n",
      "3   Mexican Restaurant  0.05\n",
      "4   Seafood Restaurant  0.05\n",
      "\n",
      "\n",
      "----El Cajon----\n",
      "                       venue  freq\n",
      "0                Coffee Shop  0.07\n",
      "1         Mexican Restaurant  0.06\n",
      "2             Clothing Store  0.06\n",
      "3       Fast Food Restaurant  0.04\n",
      "4  Middle Eastern Restaurant  0.03\n",
      "\n",
      "\n",
      "----Encinitas----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.09\n",
      "1     Pizza Place  0.08\n",
      "2             Bar  0.04\n",
      "3  Sandwich Place  0.03\n",
      "4         Brewery  0.03\n",
      "\n",
      "\n",
      "----Escondido----\n",
      "                  venue  freq\n",
      "0    Mexican Restaurant  0.12\n",
      "1     Convenience Store  0.07\n",
      "2  Fast Food Restaurant  0.07\n",
      "3           Pizza Place  0.05\n",
      "4   American Restaurant  0.05\n",
      "\n",
      "\n",
      "----Imperial Beach----\n",
      "                  venue  freq\n",
      "0    Mexican Restaurant  0.08\n",
      "1     Convenience Store  0.07\n",
      "2  Fast Food Restaurant  0.06\n",
      "3        Sandwich Place  0.04\n",
      "4           Pizza Place  0.04\n",
      "\n",
      "\n",
      "----La Mesa----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.07\n",
      "1  Salon / Barbershop  0.06\n",
      "2  Italian Restaurant  0.05\n",
      "3      Sandwich Place  0.04\n",
      "4  Mexican Restaurant  0.04\n",
      "\n",
      "\n",
      "----Lemon Grove----\n",
      "                venue  freq\n",
      "0  Mexican Restaurant  0.11\n",
      "1         Coffee Shop  0.06\n",
      "2   Convenience Store  0.06\n",
      "3         Pizza Place  0.04\n",
      "4      Sandwich Place  0.04\n",
      "\n",
      "\n",
      "----National City----\n",
      "                  venue  freq\n",
      "0    Mexican Restaurant  0.09\n",
      "1  Fast Food Restaurant  0.06\n",
      "2     Convenience Store  0.05\n",
      "3                  Park  0.04\n",
      "4    Chinese Restaurant  0.04\n",
      "\n",
      "\n",
      "----Oceanside----\n",
      "                 venue  freq\n",
      "0  American Restaurant  0.08\n",
      "1                Beach  0.06\n",
      "2          Coffee Shop  0.05\n",
      "3   Seafood Restaurant  0.04\n",
      "4       Ice Cream Shop  0.04\n",
      "\n",
      "\n",
      "----Poway----\n",
      "                venue  freq\n",
      "0  Mexican Restaurant  0.10\n",
      "1         Pizza Place  0.10\n",
      "2    Sushi Restaurant  0.05\n",
      "3  Seafood Restaurant  0.03\n",
      "4       Auto Workshop  0.03\n",
      "\n",
      "\n",
      "----San Diego----\n",
      "                 venue  freq\n",
      "0                Hotel  0.11\n",
      "1                  Bar  0.07\n",
      "2  American Restaurant  0.04\n",
      "3               Museum  0.04\n",
      "4          Coffee Shop  0.04\n",
      "\n",
      "\n",
      "----San Marcos----\n",
      "                venue  freq\n",
      "0  Mexican Restaurant  0.07\n",
      "1         Coffee Shop  0.06\n",
      "2      Sandwich Place  0.05\n",
      "3    Sushi Restaurant  0.04\n",
      "4         Pizza Place  0.04\n",
      "\n",
      "\n",
      "----Santee----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.06\n",
      "1  Mexican Restaurant  0.05\n",
      "2      Clothing Store  0.04\n",
      "3             Brewery  0.03\n",
      "4      Breakfast Spot  0.03\n",
      "\n",
      "\n",
      "----Solana Beach----\n",
      "                 venue  freq\n",
      "0                Beach  0.08\n",
      "1          Coffee Shop  0.06\n",
      "2          Pizza Place  0.05\n",
      "3   Seafood Restaurant  0.05\n",
      "4  American Restaurant  0.04\n",
      "\n",
      "\n",
      "----Vista----\n",
      "                  venue  freq\n",
      "0  Fast Food Restaurant  0.07\n",
      "1           Pizza Place  0.06\n",
      "2        Sandwich Place  0.06\n",
      "3    Mexican Restaurant  0.06\n",
      "4           Coffee Shop  0.04\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Taking the top 5 venue types for each city\n",
    "\n",
    "num_top_venues = 5\n",
    "\n",
    "for city in one_hot_group['City']:\n",
    "    print(\"----\"+city+\"----\")\n",
    "    temp = one_hot_group[one_hot_group['City'] == city].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": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A function to sort the venues in descending order\n",
    "\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": 34,
   "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>City</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chula Vista</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Taco Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Coronado</td>\n",
       "      <td>Park</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Del Mar</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Surf Spot</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>El Cajon</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Encinitas</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Escondido</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Imperial Beach</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>La Mesa</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lemon Grove</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>National City</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Oceanside</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Poway</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Auto Workshop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>San Diego</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Museum</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>San Marcos</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Santee</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Solana Beach</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Vista</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              City 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0         Carlsbad                 Beach                  Café   \n",
       "1      Chula Vista    Mexican Restaurant     Convenience Store   \n",
       "2         Coronado                  Park                 Hotel   \n",
       "3          Del Mar                 Beach             Surf Spot   \n",
       "4         El Cajon           Coffee Shop    Mexican Restaurant   \n",
       "5        Encinitas           Coffee Shop           Pizza Place   \n",
       "6        Escondido    Mexican Restaurant     Convenience Store   \n",
       "7   Imperial Beach    Mexican Restaurant     Convenience Store   \n",
       "8          La Mesa           Coffee Shop    Salon / Barbershop   \n",
       "9      Lemon Grove    Mexican Restaurant           Coffee Shop   \n",
       "10   National City    Mexican Restaurant  Fast Food Restaurant   \n",
       "11       Oceanside   American Restaurant                 Beach   \n",
       "12           Poway    Mexican Restaurant           Pizza Place   \n",
       "13       San Diego                 Hotel                   Bar   \n",
       "14      San Marcos    Mexican Restaurant           Coffee Shop   \n",
       "15          Santee           Coffee Shop    Mexican Restaurant   \n",
       "16    Solana Beach                 Beach           Coffee Shop   \n",
       "17           Vista  Fast Food Restaurant           Pizza Place   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue      5th Most Common Venue  \n",
       "0            Pizza Place                 Hotel             Breakfast Spot  \n",
       "1          Grocery Store           Coffee Shop                 Taco Place  \n",
       "2     Seafood Restaurant        Sandwich Place         Mexican Restaurant  \n",
       "3    American Restaurant    Mexican Restaurant         Seafood Restaurant  \n",
       "4         Clothing Store  Fast Food Restaurant  Middle Eastern Restaurant  \n",
       "5                    Bar        Sandwich Place                    Brewery  \n",
       "6   Fast Food Restaurant           Pizza Place        American Restaurant  \n",
       "7   Fast Food Restaurant        Sandwich Place                Pizza Place  \n",
       "8     Italian Restaurant        Sandwich Place         Mexican Restaurant  \n",
       "9      Convenience Store           Pizza Place             Sandwich Place  \n",
       "10     Convenience Store                  Park         Chinese Restaurant  \n",
       "11           Coffee Shop    Seafood Restaurant             Ice Cream Shop  \n",
       "12      Sushi Restaurant    Seafood Restaurant              Auto Workshop  \n",
       "13   American Restaurant                Museum                Coffee Shop  \n",
       "14        Sandwich Place      Sushi Restaurant                Pizza Place  \n",
       "15        Clothing Store               Brewery             Breakfast Spot  \n",
       "16           Pizza Place    Seafood Restaurant        American Restaurant  \n",
       "17        Sandwich Place    Mexican Restaurant                Coffee Shop  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Putting the top 5 venues for each city in a dataframe\n",
    "\n",
    "num_top_venues = 5\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['City']\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",
    "sd_venues_sorted = pd.DataFrame(columns=columns)\n",
    "sd_venues_sorted['City'] = one_hot_group['City']\n",
    "\n",
    "for ind in np.arange(one_hot_group.shape[0]):\n",
    "    sd_venues_sorted.iloc[ind, 1:] = return_most_common_venues(one_hot_group.iloc[ind, :], num_top_venues)\n",
    "\n",
    "sd_venues_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\jbpar\\AppData\\Local\\Temp\\ipykernel_13292\\2647380271.py:4: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only.\n",
      "  sd_grouped_clusters = one_hot_group.drop('City', 1)\n",
      "C:\\Users\\jbpar\\Anaconda3\\envs\\pythondata\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1332: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([2, 1, 0, 2, 1, 1, 3, 3, 1, 3, 3, 2, 3, 0, 1, 1, 2, 3])"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 4\n",
    "\n",
    "sd_grouped_clusters = one_hot_group.drop('City', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=42).fit(sd_grouped_clusters)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:18] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>City</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",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>33.158093</td>\n",
       "      <td>-117.350597</td>\n",
       "      <td>2</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Breakfast Spot</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chula Vista</td>\n",
       "      <td>32.640054</td>\n",
       "      <td>-117.084196</td>\n",
       "      <td>1</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Taco Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Coronado</td>\n",
       "      <td>32.691520</td>\n",
       "      <td>-117.176695</td>\n",
       "      <td>0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Mexican Restaurant</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Del Mar</td>\n",
       "      <td>32.959489</td>\n",
       "      <td>-117.265315</td>\n",
       "      <td>2</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Surf Spot</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>El Cajon</td>\n",
       "      <td>32.794773</td>\n",
       "      <td>-116.962526</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Encinitas</td>\n",
       "      <td>33.036987</td>\n",
       "      <td>-117.291982</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Escondido</td>\n",
       "      <td>33.121675</td>\n",
       "      <td>-117.081485</td>\n",
       "      <td>3</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Imperial Beach</td>\n",
       "      <td>32.583944</td>\n",
       "      <td>-117.113085</td>\n",
       "      <td>3</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pizza Place</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>La Mesa</td>\n",
       "      <td>32.772404</td>\n",
       "      <td>-117.029327</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lemon Grove</td>\n",
       "      <td>32.742552</td>\n",
       "      <td>-117.031417</td>\n",
       "      <td>3</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>National City</td>\n",
       "      <td>32.678109</td>\n",
       "      <td>-117.099197</td>\n",
       "      <td>3</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Chinese Restaurant</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Oceanside</td>\n",
       "      <td>33.195870</td>\n",
       "      <td>-117.379483</td>\n",
       "      <td>2</td>\n",
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       "      <td>Beach</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
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       "      <td>32.962823</td>\n",
       "      <td>-117.035865</td>\n",
       "      <td>3</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Auto Workshop</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>San Diego</td>\n",
       "      <td>32.717420</td>\n",
       "      <td>-117.162773</td>\n",
       "      <td>0</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Museum</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>San Marcos</td>\n",
       "      <td>33.135021</td>\n",
       "      <td>-117.174330</td>\n",
       "      <td>1</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Santee</td>\n",
       "      <td>32.838383</td>\n",
       "      <td>-116.973917</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Solana Beach</td>\n",
       "      <td>32.990560</td>\n",
       "      <td>-117.269131</td>\n",
       "      <td>2</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Vista</td>\n",
       "      <td>33.200037</td>\n",
       "      <td>-117.242536</td>\n",
       "      <td>3</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Mexican Restaurant</td>\n",
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      ],
      "text/plain": [
       "              City   Latitude   Longitude  Cluster Labels  \\\n",
       "0         Carlsbad  33.158093 -117.350597               2   \n",
       "1      Chula Vista  32.640054 -117.084196               1   \n",
       "2         Coronado  32.691520 -117.176695               0   \n",
       "3          Del Mar  32.959489 -117.265315               2   \n",
       "4         El Cajon  32.794773 -116.962526               1   \n",
       "5        Encinitas  33.036987 -117.291982               1   \n",
       "6        Escondido  33.121675 -117.081485               3   \n",
       "7   Imperial Beach  32.583944 -117.113085               3   \n",
       "8          La Mesa  32.772404 -117.029327               1   \n",
       "9      Lemon Grove  32.742552 -117.031417               3   \n",
       "10   National City  32.678109 -117.099197               3   \n",
       "11       Oceanside  33.195870 -117.379483               2   \n",
       "12           Poway  32.962823 -117.035865               3   \n",
       "13       San Diego  32.717420 -117.162773               0   \n",
       "14      San Marcos  33.135021 -117.174330               1   \n",
       "15          Santee  32.838383 -116.973917               1   \n",
       "16    Solana Beach  32.990560 -117.269131               2   \n",
       "17           Vista  33.200037 -117.242536               3   \n",
       "\n",
       "   1st Most Common Venue 2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "0                  Beach                  Café           Pizza Place   \n",
       "1     Mexican Restaurant     Convenience Store         Grocery Store   \n",
       "2                   Park                 Hotel    Seafood Restaurant   \n",
       "3                  Beach             Surf Spot   American Restaurant   \n",
       "4            Coffee Shop    Mexican Restaurant        Clothing Store   \n",
       "5            Coffee Shop           Pizza Place                   Bar   \n",
       "6     Mexican Restaurant     Convenience Store  Fast Food Restaurant   \n",
       "7     Mexican Restaurant     Convenience Store  Fast Food Restaurant   \n",
       "8            Coffee Shop    Salon / Barbershop    Italian Restaurant   \n",
       "9     Mexican Restaurant           Coffee Shop     Convenience Store   \n",
       "10    Mexican Restaurant  Fast Food Restaurant     Convenience Store   \n",
       "11   American Restaurant                 Beach           Coffee Shop   \n",
       "12    Mexican Restaurant           Pizza Place      Sushi Restaurant   \n",
       "13                 Hotel                   Bar   American Restaurant   \n",
       "14    Mexican Restaurant           Coffee Shop        Sandwich Place   \n",
       "15           Coffee Shop    Mexican Restaurant        Clothing Store   \n",
       "16                 Beach           Coffee Shop           Pizza Place   \n",
       "17  Fast Food Restaurant           Pizza Place        Sandwich Place   \n",
       "\n",
       "   4th Most Common Venue      5th Most Common Venue  \n",
       "0                  Hotel             Breakfast Spot  \n",
       "1            Coffee Shop                 Taco Place  \n",
       "2         Sandwich Place         Mexican Restaurant  \n",
       "3     Mexican Restaurant         Seafood Restaurant  \n",
       "4   Fast Food Restaurant  Middle Eastern Restaurant  \n",
       "5         Sandwich Place                    Brewery  \n",
       "6            Pizza Place        American Restaurant  \n",
       "7         Sandwich Place                Pizza Place  \n",
       "8         Sandwich Place         Mexican Restaurant  \n",
       "9            Pizza Place             Sandwich Place  \n",
       "10                  Park         Chinese Restaurant  \n",
       "11    Seafood Restaurant             Ice Cream Shop  \n",
       "12    Seafood Restaurant              Auto Workshop  \n",
       "13                Museum                Coffee Shop  \n",
       "14      Sushi Restaurant                Pizza Place  \n",
       "15               Brewery             Breakfast Spot  \n",
       "16    Seafood Restaurant        American Restaurant  \n",
       "17    Mexican Restaurant                Coffee Shop  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# New dataframe that includes the cluster, as well as the top 5 venues per city\n",
    "# add clustering labels\n",
    "\n",
    "# Comment/uncomment below in order to get Cluster Labels - only run once!\n",
    "# sd_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "sd_merged = df1\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "sd_merged = sd_merged.join(sd_venues_sorted.set_index('City'), on='City')\n",
    "\n",
    "sd_merged[\"Cluster Labels\"] = sd_merged[\"Cluster Labels\"].replace(np.nan,0)\n",
    "sd_merged = sd_merged.astype({\"Cluster Labels\": int})\n",
    "sd_merged # Check the last columns!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
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       "            \n",
       "    \n",
       "            var popup_6d33d91616ad2b6a86656b9b52354dca = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_a585e43bcc8774bd4a2030a6e1035314 = $(&#x27;&lt;div id=&quot;html_a585e43bcc8774bd4a2030a6e1035314&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Carlsbad Cluster 2&lt;/div&gt;&#x27;)[0];\n",
       "                popup_6d33d91616ad2b6a86656b9b52354dca.setContent(html_a585e43bcc8774bd4a2030a6e1035314);\n",
       "            \n",
       "\n",
       "            circle_marker_8e4cdc1e5839777ad981227e40878c84.bindPopup(popup_6d33d91616ad2b6a86656b9b52354dca);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_f9e790ebb482af4cbcd1d6bddcac9875 = L.circleMarker(\n",
       "                [32.6400541,-117.0841955],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_8ae98cb5c6990711ff162a1437e7a86a = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_2abb8115c48862d317aefee52a7b71f3 = $(&#x27;&lt;div id=&quot;html_2abb8115c48862d317aefee52a7b71f3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Chula Vista Cluster 1&lt;/div&gt;&#x27;)[0];\n",
       "                popup_8ae98cb5c6990711ff162a1437e7a86a.setContent(html_2abb8115c48862d317aefee52a7b71f3);\n",
       "            \n",
       "\n",
       "            circle_marker_f9e790ebb482af4cbcd1d6bddcac9875.bindPopup(popup_8ae98cb5c6990711ff162a1437e7a86a);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_bc9bb23e221f2215b725bba8a515d9f8 = L.circleMarker(\n",
       "                [32.6915199,-117.1766947],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#ff0000&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#ff0000&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_8c68c5d9a47853dd1cbf50c72b3d4869 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_c50ba6037b428eaffe47249ada8945ac = $(&#x27;&lt;div id=&quot;html_c50ba6037b428eaffe47249ada8945ac&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Coronado Cluster 0&lt;/div&gt;&#x27;)[0];\n",
       "                popup_8c68c5d9a47853dd1cbf50c72b3d4869.setContent(html_c50ba6037b428eaffe47249ada8945ac);\n",
       "            \n",
       "\n",
       "            circle_marker_bc9bb23e221f2215b725bba8a515d9f8.bindPopup(popup_8c68c5d9a47853dd1cbf50c72b3d4869);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_3ce361d856e1717fa63fc8e0a95a734d = L.circleMarker(\n",
       "                [32.9594891,-117.2653146],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#2adddd&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#2adddd&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_587bfccff07e69433e390316d11f6a4e = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_e7d0416280d480e633da354f1ff4fc18 = $(&#x27;&lt;div id=&quot;html_e7d0416280d480e633da354f1ff4fc18&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Del Mar Cluster 2&lt;/div&gt;&#x27;)[0];\n",
       "                popup_587bfccff07e69433e390316d11f6a4e.setContent(html_e7d0416280d480e633da354f1ff4fc18);\n",
       "            \n",
       "\n",
       "            circle_marker_3ce361d856e1717fa63fc8e0a95a734d.bindPopup(popup_587bfccff07e69433e390316d11f6a4e);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_45e04a264018b1b5b0f32a16492355a4 = L.circleMarker(\n",
       "                [32.7947731,-116.962526],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_3ff63fd269cb8cdbd1f0b1435f6f4f0a = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_e57372f938693bf6312c454527945ecc = $(&#x27;&lt;div id=&quot;html_e57372f938693bf6312c454527945ecc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;El Cajon Cluster 1&lt;/div&gt;&#x27;)[0];\n",
       "                popup_3ff63fd269cb8cdbd1f0b1435f6f4f0a.setContent(html_e57372f938693bf6312c454527945ecc);\n",
       "            \n",
       "\n",
       "            circle_marker_45e04a264018b1b5b0f32a16492355a4.bindPopup(popup_3ff63fd269cb8cdbd1f0b1435f6f4f0a);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_50bf1c03bbf9a40e6c341c9d8d4088db = L.circleMarker(\n",
       "                [33.0369867,-117.2919818],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_59f04c38c29b74d3e8a48c0b27af6d71 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_661b5106f3e34921052272383469bc47 = $(&#x27;&lt;div id=&quot;html_661b5106f3e34921052272383469bc47&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Encinitas Cluster 1&lt;/div&gt;&#x27;)[0];\n",
       "                popup_59f04c38c29b74d3e8a48c0b27af6d71.setContent(html_661b5106f3e34921052272383469bc47);\n",
       "            \n",
       "\n",
       "            circle_marker_50bf1c03bbf9a40e6c341c9d8d4088db.bindPopup(popup_59f04c38c29b74d3e8a48c0b27af6d71);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_7a7b9a87f048b216434ad330a796089e = L.circleMarker(\n",
       "                [33.1216751,-117.0814849],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#d4dd80&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#d4dd80&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_ce262d8cded9c02e34b3647a2a741d7b = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_315681bf6624be41cf1c672e2eca3b77 = $(&#x27;&lt;div id=&quot;html_315681bf6624be41cf1c672e2eca3b77&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Escondido Cluster 3&lt;/div&gt;&#x27;)[0];\n",
       "                popup_ce262d8cded9c02e34b3647a2a741d7b.setContent(html_315681bf6624be41cf1c672e2eca3b77);\n",
       "            \n",
       "\n",
       "            circle_marker_7a7b9a87f048b216434ad330a796089e.bindPopup(popup_ce262d8cded9c02e34b3647a2a741d7b);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_dc543de3b7c0ad6934b69c9c305b32d6 = L.circleMarker(\n",
       "                [32.5839444,-117.1130849],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#d4dd80&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#d4dd80&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_515de104526a58474e6c619458ceaa9e = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_ef3d6ab9ec1f5e634d49d13bfe6e85f8 = $(&#x27;&lt;div id=&quot;html_ef3d6ab9ec1f5e634d49d13bfe6e85f8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Imperial Beach Cluster 3&lt;/div&gt;&#x27;)[0];\n",
       "                popup_515de104526a58474e6c619458ceaa9e.setContent(html_ef3d6ab9ec1f5e634d49d13bfe6e85f8);\n",
       "            \n",
       "\n",
       "            circle_marker_dc543de3b7c0ad6934b69c9c305b32d6.bindPopup(popup_515de104526a58474e6c619458ceaa9e);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_a50fa5864cfaabeabfa337e8b862b59f = L.circleMarker(\n",
       "                [32.772404,-117.029327],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_86419b21cf3ccb73991abe4c5fe8ac38 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_e28fa402311b6f4966f49e18c9fb351f = $(&#x27;&lt;div id=&quot;html_e28fa402311b6f4966f49e18c9fb351f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Mesa Cluster 1&lt;/div&gt;&#x27;)[0];\n",
       "                popup_86419b21cf3ccb73991abe4c5fe8ac38.setContent(html_e28fa402311b6f4966f49e18c9fb351f);\n",
       "            \n",
       "\n",
       "            circle_marker_a50fa5864cfaabeabfa337e8b862b59f.bindPopup(popup_86419b21cf3ccb73991abe4c5fe8ac38);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_b40312d16b0be4709c29e18486baebba = L.circleMarker(\n",
       "                [32.7425516,-117.0314172],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#d4dd80&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#d4dd80&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_f60a8be13c6da04ab7fbe2abbc548a13 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_1e15db26ab8a9da7bbce71770461c182 = $(&#x27;&lt;div id=&quot;html_1e15db26ab8a9da7bbce71770461c182&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Lemon Grove Cluster 3&lt;/div&gt;&#x27;)[0];\n",
       "                popup_f60a8be13c6da04ab7fbe2abbc548a13.setContent(html_1e15db26ab8a9da7bbce71770461c182);\n",
       "            \n",
       "\n",
       "            circle_marker_b40312d16b0be4709c29e18486baebba.bindPopup(popup_f60a8be13c6da04ab7fbe2abbc548a13);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_a460df69732b377259d5e58bcba1d101 = L.circleMarker(\n",
       "                [32.6781085,-117.0991967],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#d4dd80&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#d4dd80&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_4033b3379dbcce0b07f3d114e26f8e03 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_f4bf14f11d3906963adabba403d8a154 = $(&#x27;&lt;div id=&quot;html_f4bf14f11d3906963adabba403d8a154&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;National City Cluster 3&lt;/div&gt;&#x27;)[0];\n",
       "                popup_4033b3379dbcce0b07f3d114e26f8e03.setContent(html_f4bf14f11d3906963adabba403d8a154);\n",
       "            \n",
       "\n",
       "            circle_marker_a460df69732b377259d5e58bcba1d101.bindPopup(popup_4033b3379dbcce0b07f3d114e26f8e03);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_f03ba2696291ca234d61abf2bb0cc535 = L.circleMarker(\n",
       "                [33.1958696,-117.3794834],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#2adddd&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#2adddd&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_e5a24dc26afb2e390978827720fb9a9f = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_5d3e5c0427024b51f6501f397aabac7f = $(&#x27;&lt;div id=&quot;html_5d3e5c0427024b51f6501f397aabac7f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Oceanside Cluster 2&lt;/div&gt;&#x27;)[0];\n",
       "                popup_e5a24dc26afb2e390978827720fb9a9f.setContent(html_5d3e5c0427024b51f6501f397aabac7f);\n",
       "            \n",
       "\n",
       "            circle_marker_f03ba2696291ca234d61abf2bb0cc535.bindPopup(popup_e5a24dc26afb2e390978827720fb9a9f);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_5d5e94882dc22043b0efbbf1a4fe6dd2 = L.circleMarker(\n",
       "                [32.9628234,-117.0358646],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#d4dd80&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#d4dd80&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_99e071b6441fc346c660c75681709ec2 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_71c4c2d7beb8d862689e354498f27e14 = $(&#x27;&lt;div id=&quot;html_71c4c2d7beb8d862689e354498f27e14&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Poway Cluster 3&lt;/div&gt;&#x27;)[0];\n",
       "                popup_99e071b6441fc346c660c75681709ec2.setContent(html_71c4c2d7beb8d862689e354498f27e14);\n",
       "            \n",
       "\n",
       "            circle_marker_5d5e94882dc22043b0efbbf1a4fe6dd2.bindPopup(popup_99e071b6441fc346c660c75681709ec2);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_aee8b6a19edb6bbd8036de82e758765d = L.circleMarker(\n",
       "                [32.7174202,-117.1627728],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#ff0000&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#ff0000&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_1872f2a22d34c81d8bdaed543be10dd4 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_d39b4d9902a7c9755d0b62d040314b1c = $(&#x27;&lt;div id=&quot;html_d39b4d9902a7c9755d0b62d040314b1c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;San Diego Cluster 0&lt;/div&gt;&#x27;)[0];\n",
       "                popup_1872f2a22d34c81d8bdaed543be10dd4.setContent(html_d39b4d9902a7c9755d0b62d040314b1c);\n",
       "            \n",
       "\n",
       "            circle_marker_aee8b6a19edb6bbd8036de82e758765d.bindPopup(popup_1872f2a22d34c81d8bdaed543be10dd4);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_1a121ab414e91b9c50258785c18671d0 = L.circleMarker(\n",
       "                [33.1350206,-117.17433],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_9591e00c858e0b46b70f35a4ed4d8b5e = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_ede312dae220b308acd5b8b2d172e8ed = $(&#x27;&lt;div id=&quot;html_ede312dae220b308acd5b8b2d172e8ed&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;San Marcos Cluster 1&lt;/div&gt;&#x27;)[0];\n",
       "                popup_9591e00c858e0b46b70f35a4ed4d8b5e.setContent(html_ede312dae220b308acd5b8b2d172e8ed);\n",
       "            \n",
       "\n",
       "            circle_marker_1a121ab414e91b9c50258785c18671d0.bindPopup(popup_9591e00c858e0b46b70f35a4ed4d8b5e);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_580049830dca7f798dd6cdda2cf01b75 = L.circleMarker(\n",
       "                [32.8383828,-116.9739167],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_d4fc8e494d3d8fbb73adf385f6bda2bc = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_fe258a89ff9ab7f34ca31eb602ffc4d7 = $(&#x27;&lt;div id=&quot;html_fe258a89ff9ab7f34ca31eb602ffc4d7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Santee Cluster 1&lt;/div&gt;&#x27;)[0];\n",
       "                popup_d4fc8e494d3d8fbb73adf385f6bda2bc.setContent(html_fe258a89ff9ab7f34ca31eb602ffc4d7);\n",
       "            \n",
       "\n",
       "            circle_marker_580049830dca7f798dd6cdda2cf01b75.bindPopup(popup_d4fc8e494d3d8fbb73adf385f6bda2bc);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_44cf19d2cb8eb87009f42312e5efbc4b = L.circleMarker(\n",
       "                [32.9905597,-117.269131],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#2adddd&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#2adddd&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_6b5cc6c37b9e71e6e0729df3393fa48c = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_48b1514cf3ebbd9c525b876db509ca86 = $(&#x27;&lt;div id=&quot;html_48b1514cf3ebbd9c525b876db509ca86&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Solana Beach Cluster 2&lt;/div&gt;&#x27;)[0];\n",
       "                popup_6b5cc6c37b9e71e6e0729df3393fa48c.setContent(html_48b1514cf3ebbd9c525b876db509ca86);\n",
       "            \n",
       "\n",
       "            circle_marker_44cf19d2cb8eb87009f42312e5efbc4b.bindPopup(popup_6b5cc6c37b9e71e6e0729df3393fa48c);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_b2e129ca20095bfc411e177b22d247f7 = L.circleMarker(\n",
       "                [33.2000368,-117.2425355],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#d4dd80&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#d4dd80&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_4348145c575a7445bd27a819e115b328);\n",
       "            \n",
       "    \n",
       "            var popup_e2e3c90be5fce3c66bbb29a47a499e62 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_f65183783db14143e71a5e785b1718ea = $(&#x27;&lt;div id=&quot;html_f65183783db14143e71a5e785b1718ea&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Vista Cluster 3&lt;/div&gt;&#x27;)[0];\n",
       "                popup_e2e3c90be5fce3c66bbb29a47a499e62.setContent(html_f65183783db14143e71a5e785b1718ea);\n",
       "            \n",
       "\n",
       "            circle_marker_b2e129ca20095bfc411e177b22d247f7.bindPopup(popup_e2e3c90be5fce3c66bbb29a47a499e62);\n",
       "\n",
       "            \n",
       "        \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x21ac83e1670>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create SD map with clusters\n",
    "\n",
    "# create map\n",
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=10)\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(sd_merged['Latitude'], sd_merged['Longitude'], sd_merged['City'], sd_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=10,\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": 40,
   "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>City</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Coronado</td>\n",
       "      <td>Park</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>San Diego</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Museum</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         City 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "2    Coronado                  Park                 Hotel   \n",
       "13  San Diego                 Hotel                   Bar   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \n",
       "2     Seafood Restaurant        Sandwich Place    Mexican Restaurant  \n",
       "13   American Restaurant                Museum           Coffee Shop  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster Labels = 0\n",
    "\n",
    "sd_merged.loc[sd_merged['Cluster Labels'] == 0, sd_merged.columns[[0] + list(range(4, sd_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>City</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chula Vista</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Taco Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>El Cajon</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Encinitas</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>La Mesa</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>San Marcos</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Santee</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           City 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "1   Chula Vista    Mexican Restaurant     Convenience Store   \n",
       "4      El Cajon           Coffee Shop    Mexican Restaurant   \n",
       "5     Encinitas           Coffee Shop           Pizza Place   \n",
       "8       La Mesa           Coffee Shop    Salon / Barbershop   \n",
       "14   San Marcos    Mexican Restaurant           Coffee Shop   \n",
       "15       Santee           Coffee Shop    Mexican Restaurant   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue      5th Most Common Venue  \n",
       "1          Grocery Store           Coffee Shop                 Taco Place  \n",
       "4         Clothing Store  Fast Food Restaurant  Middle Eastern Restaurant  \n",
       "5                    Bar        Sandwich Place                    Brewery  \n",
       "8     Italian Restaurant        Sandwich Place         Mexican Restaurant  \n",
       "14        Sandwich Place      Sushi Restaurant                Pizza Place  \n",
       "15        Clothing Store               Brewery             Breakfast Spot  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster Labels = 1\n",
    "\n",
    "sd_merged.loc[sd_merged['Cluster Labels'] == 1, sd_merged.columns[[0] + list(range(4, sd_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "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>City</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Del Mar</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Surf Spot</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Oceanside</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Solana Beach</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            City 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0       Carlsbad                 Beach                  Café   \n",
       "3        Del Mar                 Beach             Surf Spot   \n",
       "11     Oceanside   American Restaurant                 Beach   \n",
       "16  Solana Beach                 Beach           Coffee Shop   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \n",
       "0            Pizza Place                 Hotel        Breakfast Spot  \n",
       "3    American Restaurant    Mexican Restaurant    Seafood Restaurant  \n",
       "11           Coffee Shop    Seafood Restaurant        Ice Cream Shop  \n",
       "16           Pizza Place    Seafood Restaurant   American Restaurant  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster Labels = 2\n",
    "\n",
    "sd_merged.loc[sd_merged['Cluster Labels'] == 2, sd_merged.columns[[0] + list(range(4, sd_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "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>City</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Escondido</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Imperial Beach</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lemon Grove</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>National City</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Poway</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Auto Workshop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Vista</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              City 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "6        Escondido    Mexican Restaurant     Convenience Store   \n",
       "7   Imperial Beach    Mexican Restaurant     Convenience Store   \n",
       "9      Lemon Grove    Mexican Restaurant           Coffee Shop   \n",
       "10   National City    Mexican Restaurant  Fast Food Restaurant   \n",
       "12           Poway    Mexican Restaurant           Pizza Place   \n",
       "17           Vista  Fast Food Restaurant           Pizza Place   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \n",
       "6   Fast Food Restaurant           Pizza Place   American Restaurant  \n",
       "7   Fast Food Restaurant        Sandwich Place           Pizza Place  \n",
       "9      Convenience Store           Pizza Place        Sandwich Place  \n",
       "10     Convenience Store                  Park    Chinese Restaurant  \n",
       "12      Sushi Restaurant    Seafood Restaurant         Auto Workshop  \n",
       "17        Sandwich Place    Mexican Restaurant           Coffee Shop  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster Labels = 3\n",
    "\n",
    "sd_merged.loc[sd_merged['Cluster Labels'] == 3, sd_merged.columns[[0] + list(range(4, sd_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "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>City</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [City, 1st Most Common Venue, 2nd Most Common Venue, 3rd Most Common Venue, 4th Most Common Venue, 5th Most Common Venue]\n",
       "Index: []"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster Labels = 4\n",
    "\n",
    "sd_merged.loc[sd_merged['Cluster Labels'] == 4, sd_merged.columns[[0] + list(range(4, sd_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__5. Determine the best cluster to open a new Mexican Restaurant in San Diego.__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "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>City</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>0.036585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chula Vista</td>\n",
       "      <td>0.090000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Coronado</td>\n",
       "      <td>0.040000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Del Mar</td>\n",
       "      <td>0.045455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>El Cajon</td>\n",
       "      <td>0.060000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Encinitas</td>\n",
       "      <td>0.030000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Escondido</td>\n",
       "      <td>0.120000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Imperial Beach</td>\n",
       "      <td>0.080000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>La Mesa</td>\n",
       "      <td>0.040000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lemon Grove</td>\n",
       "      <td>0.111111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>National City</td>\n",
       "      <td>0.085106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Oceanside</td>\n",
       "      <td>0.020000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Poway</td>\n",
       "      <td>0.095238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>San Diego</td>\n",
       "      <td>0.040000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>San Marcos</td>\n",
       "      <td>0.070000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Santee</td>\n",
       "      <td>0.050000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Solana Beach</td>\n",
       "      <td>0.040000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Vista</td>\n",
       "      <td>0.060000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              City  Mexican Restaurant\n",
       "0         Carlsbad            0.036585\n",
       "1      Chula Vista            0.090000\n",
       "2         Coronado            0.040000\n",
       "3          Del Mar            0.045455\n",
       "4         El Cajon            0.060000\n",
       "5        Encinitas            0.030000\n",
       "6        Escondido            0.120000\n",
       "7   Imperial Beach            0.080000\n",
       "8          La Mesa            0.040000\n",
       "9      Lemon Grove            0.111111\n",
       "10   National City            0.085106\n",
       "11       Oceanside            0.020000\n",
       "12           Poway            0.095238\n",
       "13       San Diego            0.040000\n",
       "14      San Marcos            0.070000\n",
       "15          Santee            0.050000\n",
       "16    Solana Beach            0.040000\n",
       "17           Vista            0.060000"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mex_df = one_hot_group[[\"City\", \"Mexican Restaurant\"]]\n",
    "mex_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\jbpar\\AppData\\Local\\Temp\\ipykernel_13292\\1406159749.py:4: FutureWarning: In a future version of pandas all arguments of DataFrame.drop except for the argument 'labels' will be keyword-only.\n",
      "  mex_clustered = mex_df.drop([\"City\"], 1)\n",
      "C:\\Users\\jbpar\\Anaconda3\\envs\\pythondata\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1332: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([1, 2, 1, 1, 3, 1, 0, 2, 1, 0, 2, 1, 2, 1, 3, 3, 1, 3])"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 4\n",
    "\n",
    "mex_clustered = mex_df.drop([\"City\"], 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=42).fit(mex_clustered)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:18]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "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>City</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Cluster Labels</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>0.036585</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chula Vista</td>\n",
       "      <td>0.090000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Coronado</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Del Mar</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>El Cajon</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          City  Mexican Restaurant  Cluster Labels\n",
       "0     Carlsbad            0.036585               1\n",
       "1  Chula Vista            0.090000               2\n",
       "2     Coronado            0.040000               1\n",
       "3      Del Mar            0.045455               1\n",
       "4     El Cajon            0.060000               3"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a new dataframe that includes the cluster as well as the Mex.Restaurant numbers for each city.\n",
    "mex_merged = mex_df.copy()\n",
    "\n",
    "# add clustering labels\n",
    "mex_merged[\"Cluster Labels\"] = kmeans.labels_\n",
    "\n",
    "mex_merged.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 18 cities and 5 features in the dataframe.\n"
     ]
    },
    {
     "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></th>\n",
       "      <th>City</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Vista</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>3</td>\n",
       "      <td>33.200037</td>\n",
       "      <td>-117.242536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Santee</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>3</td>\n",
       "      <td>32.838383</td>\n",
       "      <td>-116.973917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>El Cajon</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>3</td>\n",
       "      <td>32.794773</td>\n",
       "      <td>-116.962526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>San Marcos</td>\n",
       "      <td>0.070000</td>\n",
       "      <td>3</td>\n",
       "      <td>33.135021</td>\n",
       "      <td>-117.174330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Imperial Beach</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>2</td>\n",
       "      <td>32.583944</td>\n",
       "      <td>-117.113085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Poway</td>\n",
       "      <td>0.095238</td>\n",
       "      <td>2</td>\n",
       "      <td>32.962823</td>\n",
       "      <td>-117.035865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chula Vista</td>\n",
       "      <td>0.090000</td>\n",
       "      <td>2</td>\n",
       "      <td>32.640054</td>\n",
       "      <td>-117.084196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>National City</td>\n",
       "      <td>0.085106</td>\n",
       "      <td>2</td>\n",
       "      <td>32.678109</td>\n",
       "      <td>-117.099197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Oceanside</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>1</td>\n",
       "      <td>33.195870</td>\n",
       "      <td>-117.379483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Solana Beach</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>1</td>\n",
       "      <td>32.990560</td>\n",
       "      <td>-117.269131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>San Diego</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>1</td>\n",
       "      <td>32.717420</td>\n",
       "      <td>-117.162773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>0.036585</td>\n",
       "      <td>1</td>\n",
       "      <td>33.158093</td>\n",
       "      <td>-117.350597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>La Mesa</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>1</td>\n",
       "      <td>32.772404</td>\n",
       "      <td>-117.029327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Encinitas</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>1</td>\n",
       "      <td>33.036987</td>\n",
       "      <td>-117.291982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Del Mar</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>1</td>\n",
       "      <td>32.959489</td>\n",
       "      <td>-117.265315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Coronado</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>1</td>\n",
       "      <td>32.691520</td>\n",
       "      <td>-117.176695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Escondido</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>0</td>\n",
       "      <td>33.121675</td>\n",
       "      <td>-117.081485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lemon Grove</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0</td>\n",
       "      <td>32.742552</td>\n",
       "      <td>-117.031417</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              City  Mexican Restaurant  Cluster Labels   Latitude   Longitude\n",
       "17           Vista            0.060000               3  33.200037 -117.242536\n",
       "15          Santee            0.050000               3  32.838383 -116.973917\n",
       "4         El Cajon            0.060000               3  32.794773 -116.962526\n",
       "14      San Marcos            0.070000               3  33.135021 -117.174330\n",
       "7   Imperial Beach            0.080000               2  32.583944 -117.113085\n",
       "12           Poway            0.095238               2  32.962823 -117.035865\n",
       "1      Chula Vista            0.090000               2  32.640054 -117.084196\n",
       "10   National City            0.085106               2  32.678109 -117.099197\n",
       "11       Oceanside            0.020000               1  33.195870 -117.379483\n",
       "16    Solana Beach            0.040000               1  32.990560 -117.269131\n",
       "13       San Diego            0.040000               1  32.717420 -117.162773\n",
       "0         Carlsbad            0.036585               1  33.158093 -117.350597\n",
       "8          La Mesa            0.040000               1  32.772404 -117.029327\n",
       "5        Encinitas            0.030000               1  33.036987 -117.291982\n",
       "3          Del Mar            0.045455               1  32.959489 -117.265315\n",
       "2         Coronado            0.040000               1  32.691520 -117.176695\n",
       "6        Escondido            0.120000               0  33.121675 -117.081485\n",
       "9      Lemon Grove            0.111111               0  32.742552 -117.031417"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge dataframes to add latitude/longitude for each city\n",
    "# Only run the line below once! Comment/uncomment as necessary to continue the notebook.\n",
    "mex_merged = mex_merged.join(df1.set_index(\"City\"), on=\"City\")\n",
    "\n",
    "print(f'There are {mex_merged.shape[0]} cities and {mex_merged.shape[1]} features in the dataframe.')\n",
    "\n",
    "# Sort results by Cluster Labels\n",
    "mex_merged.sort_values([\"Cluster Labels\"], \n",
    "                       inplace=True, \n",
    "                       ascending=False)\n",
    "mex_merged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
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       "\n",
       "            \n",
       "                var html_dbac5cf2d506cb54c46b180bfb264f68 = $(&#x27;&lt;div id=&quot;html_dbac5cf2d506cb54c46b180bfb264f68&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Poway - Cluster 2&lt;/div&gt;&#x27;)[0];\n",
       "                popup_52bb8afd521415ec1f44c6c888a45ef0.setContent(html_dbac5cf2d506cb54c46b180bfb264f68);\n",
       "            \n",
       "\n",
       "            circle_marker_0e7175d2e1e47cc24f616fefaf45f817.bindPopup(popup_52bb8afd521415ec1f44c6c888a45ef0);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_dad4b2bd63df0a51008ed179bfaa3e1e = L.circleMarker(\n",
       "                [32.6400541,-117.0841955],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#2adddd&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#2adddd&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_de13cd700e75b9c7e8436a444e2c1732);\n",
       "            \n",
       "    \n",
       "            var popup_cb7de86d9e74246afc61281585034155 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_be9dd66950af290b3d79025038e6ba37 = $(&#x27;&lt;div id=&quot;html_be9dd66950af290b3d79025038e6ba37&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Chula Vista - Cluster 2&lt;/div&gt;&#x27;)[0];\n",
       "                popup_cb7de86d9e74246afc61281585034155.setContent(html_be9dd66950af290b3d79025038e6ba37);\n",
       "            \n",
       "\n",
       "            circle_marker_dad4b2bd63df0a51008ed179bfaa3e1e.bindPopup(popup_cb7de86d9e74246afc61281585034155);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_633523c678b76ec7bd54ffd3a6c40447 = L.circleMarker(\n",
       "                [32.6781085,-117.0991967],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#2adddd&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#2adddd&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_de13cd700e75b9c7e8436a444e2c1732);\n",
       "            \n",
       "    \n",
       "            var popup_41d90ce12110148afae29367c0b042b0 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_168504df66ae0086db0738a6bf9e6d76 = $(&#x27;&lt;div id=&quot;html_168504df66ae0086db0738a6bf9e6d76&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;National City - Cluster 2&lt;/div&gt;&#x27;)[0];\n",
       "                popup_41d90ce12110148afae29367c0b042b0.setContent(html_168504df66ae0086db0738a6bf9e6d76);\n",
       "            \n",
       "\n",
       "            circle_marker_633523c678b76ec7bd54ffd3a6c40447.bindPopup(popup_41d90ce12110148afae29367c0b042b0);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_59dba52759e15b03e638f7cbadd19555 = L.circleMarker(\n",
       "                [33.1958696,-117.3794834],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_de13cd700e75b9c7e8436a444e2c1732);\n",
       "            \n",
       "    \n",
       "            var popup_b304c286bc46e917da972d59584b7769 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_d1a5df073c0e546bcb7926a6bb988b79 = $(&#x27;&lt;div id=&quot;html_d1a5df073c0e546bcb7926a6bb988b79&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Oceanside - Cluster 1&lt;/div&gt;&#x27;)[0];\n",
       "                popup_b304c286bc46e917da972d59584b7769.setContent(html_d1a5df073c0e546bcb7926a6bb988b79);\n",
       "            \n",
       "\n",
       "            circle_marker_59dba52759e15b03e638f7cbadd19555.bindPopup(popup_b304c286bc46e917da972d59584b7769);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_bcb9c409b2b64b77d0ee965f45b3761b = L.circleMarker(\n",
       "                [32.9905597,-117.269131],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_de13cd700e75b9c7e8436a444e2c1732);\n",
       "            \n",
       "    \n",
       "            var popup_2e2aafcec9d14ff028dbc82bb2e8c8ea = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_136d92d97b106fdb42258fc663a106ab = $(&#x27;&lt;div id=&quot;html_136d92d97b106fdb42258fc663a106ab&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Solana Beach - Cluster 1&lt;/div&gt;&#x27;)[0];\n",
       "                popup_2e2aafcec9d14ff028dbc82bb2e8c8ea.setContent(html_136d92d97b106fdb42258fc663a106ab);\n",
       "            \n",
       "\n",
       "            circle_marker_bcb9c409b2b64b77d0ee965f45b3761b.bindPopup(popup_2e2aafcec9d14ff028dbc82bb2e8c8ea);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_095a4266870a759baefcb6ce775e0b0f = L.circleMarker(\n",
       "                [32.7174202,-117.1627728],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_de13cd700e75b9c7e8436a444e2c1732);\n",
       "            \n",
       "    \n",
       "            var popup_df486cededf48316db19ae90fc60baa4 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_f3c4d823303d002cd55b8a912d298d92 = $(&#x27;&lt;div id=&quot;html_f3c4d823303d002cd55b8a912d298d92&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;San Diego - Cluster 1&lt;/div&gt;&#x27;)[0];\n",
       "                popup_df486cededf48316db19ae90fc60baa4.setContent(html_f3c4d823303d002cd55b8a912d298d92);\n",
       "            \n",
       "\n",
       "            circle_marker_095a4266870a759baefcb6ce775e0b0f.bindPopup(popup_df486cededf48316db19ae90fc60baa4);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_b5d07a58c247ce1e1c88834879e7b2fb = L.circleMarker(\n",
       "                [33.1580933,-117.3505966],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_de13cd700e75b9c7e8436a444e2c1732);\n",
       "            \n",
       "    \n",
       "            var popup_47b5468f2be75b20e92e9a6e6587f170 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_18f09a7ed728bec003b6ad774b2e69f7 = $(&#x27;&lt;div id=&quot;html_18f09a7ed728bec003b6ad774b2e69f7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Carlsbad - Cluster 1&lt;/div&gt;&#x27;)[0];\n",
       "                popup_47b5468f2be75b20e92e9a6e6587f170.setContent(html_18f09a7ed728bec003b6ad774b2e69f7);\n",
       "            \n",
       "\n",
       "            circle_marker_b5d07a58c247ce1e1c88834879e7b2fb.bindPopup(popup_47b5468f2be75b20e92e9a6e6587f170);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_e634a1e85f40185801ac832a07cdd217 = L.circleMarker(\n",
       "                [32.772404,-117.029327],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_de13cd700e75b9c7e8436a444e2c1732);\n",
       "            \n",
       "    \n",
       "            var popup_e57b851febd18a70b308d1b4107a69f0 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_b6263dd5251cfaa552d62c26fd4a0af8 = $(&#x27;&lt;div id=&quot;html_b6263dd5251cfaa552d62c26fd4a0af8&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;La Mesa - Cluster 1&lt;/div&gt;&#x27;)[0];\n",
       "                popup_e57b851febd18a70b308d1b4107a69f0.setContent(html_b6263dd5251cfaa552d62c26fd4a0af8);\n",
       "            \n",
       "\n",
       "            circle_marker_e634a1e85f40185801ac832a07cdd217.bindPopup(popup_e57b851febd18a70b308d1b4107a69f0);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_839d4c1ccca4012c8ba196b5325686d8 = L.circleMarker(\n",
       "                [33.0369867,-117.2919818],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_de13cd700e75b9c7e8436a444e2c1732);\n",
       "            \n",
       "    \n",
       "            var popup_4f7d3615f96bf15facfbd334393de1fc = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_1d0d971c4a3349e9d9a5569b0503bbf1 = $(&#x27;&lt;div id=&quot;html_1d0d971c4a3349e9d9a5569b0503bbf1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Encinitas - Cluster 1&lt;/div&gt;&#x27;)[0];\n",
       "                popup_4f7d3615f96bf15facfbd334393de1fc.setContent(html_1d0d971c4a3349e9d9a5569b0503bbf1);\n",
       "            \n",
       "\n",
       "            circle_marker_839d4c1ccca4012c8ba196b5325686d8.bindPopup(popup_4f7d3615f96bf15facfbd334393de1fc);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_b4a17397cde58ba25bd4aae5da0cbe5a = L.circleMarker(\n",
       "                [32.9594891,-117.2653146],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_de13cd700e75b9c7e8436a444e2c1732);\n",
       "            \n",
       "    \n",
       "            var popup_b909dff491bff0e63d0dde5b1816adee = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_5f01620071bdcfa1c6141076c583df90 = $(&#x27;&lt;div id=&quot;html_5f01620071bdcfa1c6141076c583df90&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Del Mar - Cluster 1&lt;/div&gt;&#x27;)[0];\n",
       "                popup_b909dff491bff0e63d0dde5b1816adee.setContent(html_5f01620071bdcfa1c6141076c583df90);\n",
       "            \n",
       "\n",
       "            circle_marker_b4a17397cde58ba25bd4aae5da0cbe5a.bindPopup(popup_b909dff491bff0e63d0dde5b1816adee);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_4339230fea936cfd3aeced92eb201800 = L.circleMarker(\n",
       "                [32.6915199,-117.1766947],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#8000ff&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_de13cd700e75b9c7e8436a444e2c1732);\n",
       "            \n",
       "    \n",
       "            var popup_863f283a76d0e7fb61f2709726873c40 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_4e7d654896f4f2c070b443c92cc84684 = $(&#x27;&lt;div id=&quot;html_4e7d654896f4f2c070b443c92cc84684&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Coronado - Cluster 1&lt;/div&gt;&#x27;)[0];\n",
       "                popup_863f283a76d0e7fb61f2709726873c40.setContent(html_4e7d654896f4f2c070b443c92cc84684);\n",
       "            \n",
       "\n",
       "            circle_marker_4339230fea936cfd3aeced92eb201800.bindPopup(popup_863f283a76d0e7fb61f2709726873c40);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_4ec2637b74da260ad8248d0130ba3dcd = L.circleMarker(\n",
       "                [33.1216751,-117.0814849],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#ff0000&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#ff0000&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_de13cd700e75b9c7e8436a444e2c1732);\n",
       "            \n",
       "    \n",
       "            var popup_3fd3aafc842db8f29be15442e4c07954 = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_4219c27cbb2e9a0cf95532a32675fb98 = $(&#x27;&lt;div id=&quot;html_4219c27cbb2e9a0cf95532a32675fb98&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Escondido - Cluster 0&lt;/div&gt;&#x27;)[0];\n",
       "                popup_3fd3aafc842db8f29be15442e4c07954.setContent(html_4219c27cbb2e9a0cf95532a32675fb98);\n",
       "            \n",
       "\n",
       "            circle_marker_4ec2637b74da260ad8248d0130ba3dcd.bindPopup(popup_3fd3aafc842db8f29be15442e4c07954);\n",
       "\n",
       "            \n",
       "        \n",
       "    \n",
       "            var circle_marker_71bba702a96ea0bb11894d8b99bc4433 = L.circleMarker(\n",
       "                [32.7425516,-117.0314172],\n",
       "                {\n",
       "  &quot;bubblingMouseEvents&quot;: true,\n",
       "  &quot;color&quot;: &quot;#ff0000&quot;,\n",
       "  &quot;dashArray&quot;: null,\n",
       "  &quot;dashOffset&quot;: null,\n",
       "  &quot;fill&quot;: true,\n",
       "  &quot;fillColor&quot;: &quot;#ff0000&quot;,\n",
       "  &quot;fillOpacity&quot;: 0.7,\n",
       "  &quot;fillRule&quot;: &quot;evenodd&quot;,\n",
       "  &quot;lineCap&quot;: &quot;round&quot;,\n",
       "  &quot;lineJoin&quot;: &quot;round&quot;,\n",
       "  &quot;opacity&quot;: 1.0,\n",
       "  &quot;radius&quot;: 10,\n",
       "  &quot;stroke&quot;: true,\n",
       "  &quot;weight&quot;: 3\n",
       "}\n",
       "                ).addTo(map_de13cd700e75b9c7e8436a444e2c1732);\n",
       "            \n",
       "    \n",
       "            var popup_cb480c2e35993ef803225c53d1c1586f = L.popup({maxWidth: &#x27;300&#x27;});\n",
       "\n",
       "            \n",
       "                var html_0828f5f950a5a15a48ac2659fcfd5a5b = $(&#x27;&lt;div id=&quot;html_0828f5f950a5a15a48ac2659fcfd5a5b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;Lemon Grove - Cluster 0&lt;/div&gt;&#x27;)[0];\n",
       "                popup_cb480c2e35993ef803225c53d1c1586f.setContent(html_0828f5f950a5a15a48ac2659fcfd5a5b);\n",
       "            \n",
       "\n",
       "            circle_marker_71bba702a96ea0bb11894d8b99bc4433.bindPopup(popup_cb480c2e35993ef803225c53d1c1586f);\n",
       "\n",
       "            \n",
       "        \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x21ac84bda00>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create map of Mexican Restaurant data\n",
    "mex_clusters = folium.Map(location=[latitude, longitude], zoom_start=10)\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(mex_merged['Latitude'], mex_merged['Longitude'], mex_merged['City'], mex_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' - Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=10,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(mex_clusters)\n",
    "       \n",
    "mex_clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the map as an HTML file\n",
    "mex_clusters.save('mex_clusters.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Warnings will pop up if you comment out the code below\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 cities:\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>City</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Lemon Grove</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0</td>\n",
       "      <td>32.742552</td>\n",
       "      <td>-117.031417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Escondido</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>0</td>\n",
       "      <td>33.121675</td>\n",
       "      <td>-117.081485</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          City  Mexican Restaurant  Cluster Labels   Latitude   Longitude\n",
       "9  Lemon Grove            0.111111               0  32.742552 -117.031417\n",
       "6    Escondido            0.120000               0  33.121675 -117.081485"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster Labels = 0\n",
    "\n",
    "mex_0 = mex_merged.loc[mex_merged['Cluster Labels'] == 0]\n",
    "print(f'{mex_0.shape[0]} cities:')\n",
    "mex_0.sort_values([\"Mexican Restaurant\"], \n",
    "                       inplace=True, \n",
    "                       ascending=True)\n",
    "mex_0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8 cities:\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>City</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Oceanside</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>1</td>\n",
       "      <td>33.195870</td>\n",
       "      <td>-117.379483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Encinitas</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>1</td>\n",
       "      <td>33.036987</td>\n",
       "      <td>-117.291982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Carlsbad</td>\n",
       "      <td>0.036585</td>\n",
       "      <td>1</td>\n",
       "      <td>33.158093</td>\n",
       "      <td>-117.350597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Solana Beach</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>1</td>\n",
       "      <td>32.990560</td>\n",
       "      <td>-117.269131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>San Diego</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>1</td>\n",
       "      <td>32.717420</td>\n",
       "      <td>-117.162773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>La Mesa</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>1</td>\n",
       "      <td>32.772404</td>\n",
       "      <td>-117.029327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Coronado</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>1</td>\n",
       "      <td>32.691520</td>\n",
       "      <td>-117.176695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Del Mar</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>1</td>\n",
       "      <td>32.959489</td>\n",
       "      <td>-117.265315</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            City  Mexican Restaurant  Cluster Labels   Latitude   Longitude\n",
       "11     Oceanside            0.020000               1  33.195870 -117.379483\n",
       "5      Encinitas            0.030000               1  33.036987 -117.291982\n",
       "0       Carlsbad            0.036585               1  33.158093 -117.350597\n",
       "16  Solana Beach            0.040000               1  32.990560 -117.269131\n",
       "13     San Diego            0.040000               1  32.717420 -117.162773\n",
       "8        La Mesa            0.040000               1  32.772404 -117.029327\n",
       "2       Coronado            0.040000               1  32.691520 -117.176695\n",
       "3        Del Mar            0.045455               1  32.959489 -117.265315"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster Labels = 1\n",
    "\n",
    "mex_1 = mex_merged.loc[mex_merged['Cluster Labels'] == 1]\n",
    "print(f'{mex_1.shape[0]} cities:')\n",
    "mex_1.sort_values([\"Mexican Restaurant\"], \n",
    "                       inplace=True, \n",
    "                       ascending=True)\n",
    "mex_1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4 cities:\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>City</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Imperial Beach</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>2</td>\n",
       "      <td>32.583944</td>\n",
       "      <td>-117.113085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>National City</td>\n",
       "      <td>0.085106</td>\n",
       "      <td>2</td>\n",
       "      <td>32.678109</td>\n",
       "      <td>-117.099197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chula Vista</td>\n",
       "      <td>0.090000</td>\n",
       "      <td>2</td>\n",
       "      <td>32.640054</td>\n",
       "      <td>-117.084196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Poway</td>\n",
       "      <td>0.095238</td>\n",
       "      <td>2</td>\n",
       "      <td>32.962823</td>\n",
       "      <td>-117.035865</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              City  Mexican Restaurant  Cluster Labels   Latitude   Longitude\n",
       "7   Imperial Beach            0.080000               2  32.583944 -117.113085\n",
       "10   National City            0.085106               2  32.678109 -117.099197\n",
       "1      Chula Vista            0.090000               2  32.640054 -117.084196\n",
       "12           Poway            0.095238               2  32.962823 -117.035865"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster Labels = 2\n",
    "\n",
    "mex_2 = mex_merged.loc[mex_merged['Cluster Labels'] == 2]\n",
    "print(f'{mex_2.shape[0]} cities:')\n",
    "mex_2.sort_values([\"Mexican Restaurant\"], \n",
    "                       inplace=True, \n",
    "                       ascending=True)\n",
    "mex_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4 cities:\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>City</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Santee</td>\n",
       "      <td>0.05</td>\n",
       "      <td>3</td>\n",
       "      <td>32.838383</td>\n",
       "      <td>-116.973917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Vista</td>\n",
       "      <td>0.06</td>\n",
       "      <td>3</td>\n",
       "      <td>33.200037</td>\n",
       "      <td>-117.242536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>El Cajon</td>\n",
       "      <td>0.06</td>\n",
       "      <td>3</td>\n",
       "      <td>32.794773</td>\n",
       "      <td>-116.962526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>San Marcos</td>\n",
       "      <td>0.07</td>\n",
       "      <td>3</td>\n",
       "      <td>33.135021</td>\n",
       "      <td>-117.174330</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          City  Mexican Restaurant  Cluster Labels   Latitude   Longitude\n",
       "15      Santee                0.05               3  32.838383 -116.973917\n",
       "17       Vista                0.06               3  33.200037 -117.242536\n",
       "4     El Cajon                0.06               3  32.794773 -116.962526\n",
       "14  San Marcos                0.07               3  33.135021 -117.174330"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Cluster Labels = 3\n",
    "\n",
    "mex_3 = mex_merged.loc[mex_merged['Cluster Labels'] == 3]\n",
    "print(f'{mex_2.shape[0]} cities:')\n",
    "mex_3.sort_values([\"Mexican Restaurant\"], \n",
    "                       inplace=True, \n",
    "                       ascending=True)\n",
    "mex_3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Observations\n",
    "\n",
    "- Mexican Restaurants are concentrated in cluster 2.\n",
    "- They likely suffer from intense competition due to oversupply and overconcentration of restaurants.\n",
    "- Cluster 0 and 1 cities present the greater opportunity and high potential areas to open a new Mexican Restaurant.\n",
    "- Cluster 3 cities have a higher level of competition among Mexican Restaurants, but may offer a conservative level of risk for a new business."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Project Recommendation\n",
    "\n",
    "- I recommend property developers to capitalize on the observations above and look into neighborhoods in _Cluster 0_ and _Cluster 1_ cities to open a Mexican Restaurant with a high potential for success.\n",
    "- In particular, the city of __Lemon Grove__ should be explored for high potential neighborhoods.\n",
    "- Property developers with unique selling propositions that stand out from their competitors may find better success among their competition by contesting the existing Mexican Restaurants in __Del Mar, Coronado__, and  _Cluster 3_ cities.\n",
    "- Property developers looking to mitigate risk may find success in _Cluster 3_ cities like __Santee and Vista__. The lower level of risk will mean trading away a potentially higher profit margin.\n",
    "- I advise property developers to avoid neighborhoods in _Cluster 2_ cities, which already have a high concentration of Mexican Restaurants and suffer from intense competition."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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