TYK_BattleOfNeighborhoods1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TYK Battle of the Neighborhoods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Toni Krowisz  June 2020\n",
    "Rows with confidential data have been removed."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Problem Description and Background\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One of our clients <em><b>LiveLong</b></em> has petitioned our firm to gather and analyze some research for healthy food cafes. They are requesting some recommendations on the best cities in which such cafes have the potential to be profitable and have a positive impact in that community. <em><b>LiveLong' s</b></em> goal is to target two cities for launching their initial health food cafes, and checking the results of revenue and positive impact in the community. The criteria is to target neighborhoods that have larger concentrations of venues for healthy choice activities with lowest rate of competition. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Description and Approach"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Results from a study posted by Adam McCann, February 10, 2020  <em><b>Healthiest and Unhealthiest Cities in America</b></em> provides rankings for the healthiest and most unhealthy cities. A further analysis will be done to make a determination of which two cities may be chosen for analysis, according to their total health score rankings. \n",
    "\n",
    "The top 5 healthiest cities , along with the 5 lowest ranking healthy cities will be chosen from this previous study. \n",
    "Within these cities, we will gather Foursquare location data for venues that represent healthy choice activities, i.e. parks with bike and/or hiking trails, gyms, and/or organic food stores, along with other types of cafes in the area. The healthy choice activities will give insight to the potential market in the neighborhoods. The other types of cafes in the area will give insight to potential competitors. \n",
    "\n",
    "Of these venues, we will gather data to understand visitor ratings.\n",
    "The location data and other descriptive information will be visually presented on a map. \n",
    "\n",
    "Two locations will be recommended based on the concentration of nearby healthy choice activity venues, and the ratings of potential competitors. It is most likely that people who frequent healthy choice activity venues may be the best market for a healthy foods café.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Libraries imported.\n"
     ]
    }
   ],
   "source": [
    "import requests # library to handle requests\n",
    "import pandas as pd # library for data analsysis\n",
    "import numpy as np # library to handle data in a vectorized manner\n",
    "import random # library for random number generation\n",
    "\n",
    "\n",
    "from geopy.geocoders import Nominatim # module to convert an address into latitude and longitude values\n",
    "\n",
    "# libraries for displaying images\n",
    "from IPython.display import Image \n",
    "from IPython.core.display import HTML \n",
    "    \n",
    "# tranforming json file into a pandas dataframe library\n",
    "from pandas.io.json import json_normalize\n",
    "\n",
    "\n",
    "import folium # plotting library\n",
    "\n",
    "\n",
    "print('Libraries imported.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>overall_rank</th>\n",
       "      <th>city</th>\n",
       "      <th>total_health_score</th>\n",
       "      <th>health_care_rank</th>\n",
       "      <th>food_rank</th>\n",
       "      <th>fitness_rank</th>\n",
       "      <th>green_space_rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>73.99</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>70.62</td>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>San Diego, CA</td>\n",
       "      <td>70.01</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Portland, OR</td>\n",
       "      <td>65.66</td>\n",
       "      <td>61</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Washington, DC</td>\n",
       "      <td>63.87</td>\n",
       "      <td>47</td>\n",
       "      <td>9</td>\n",
       "      <td>26</td>\n",
       "      <td>5</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>169</th>\n",
       "      <td>170</td>\n",
       "      <td>Memphis, TN</td>\n",
       "      <td>29.64</td>\n",
       "      <td>166</td>\n",
       "      <td>155</td>\n",
       "      <td>169</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>171</td>\n",
       "      <td>Shreveport, LA</td>\n",
       "      <td>27.42</td>\n",
       "      <td>165</td>\n",
       "      <td>171</td>\n",
       "      <td>171</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>172</td>\n",
       "      <td>Gulfport, MS</td>\n",
       "      <td>24.82</td>\n",
       "      <td>171</td>\n",
       "      <td>172</td>\n",
       "      <td>167</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>173</td>\n",
       "      <td>Laredo, TX</td>\n",
       "      <td>24.06</td>\n",
       "      <td>151</td>\n",
       "      <td>170</td>\n",
       "      <td>174</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>174</td>\n",
       "      <td>Brownsville, TX</td>\n",
       "      <td>21.41</td>\n",
       "      <td>174</td>\n",
       "      <td>174</td>\n",
       "      <td>173</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>174 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     overall_rank               city  total_health_score  health_care_rank  \\\n",
       "0               1  San Francisco, CA               73.99                29   \n",
       "1               2        Seattle, WA               70.62                19   \n",
       "2               3      San Diego, CA               70.01                25   \n",
       "3               4       Portland, OR               65.66                61   \n",
       "4               5     Washington, DC               63.87                47   \n",
       "..            ...                ...                 ...               ...   \n",
       "169           170        Memphis, TN               29.64               166   \n",
       "170           171     Shreveport, LA               27.42               165   \n",
       "171           172       Gulfport, MS               24.82               171   \n",
       "172           173         Laredo, TX               24.06               151   \n",
       "173           174    Brownsville, TX               21.41               174   \n",
       "\n",
       "     food_rank  fitness_rank  green_space_rank  \n",
       "0            1             4                 1  \n",
       "1            4             3                 2  \n",
       "2            3             1                 8  \n",
       "3            6            16                 3  \n",
       "4            9            26                 5  \n",
       "..         ...           ...               ...  \n",
       "169        155           169               160  \n",
       "170        171           171               165  \n",
       "171        172           167               174  \n",
       "172        170           174               156  \n",
       "173        174           173               173  \n",
       "\n",
       "[174 rows x 7 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "# pull in the dataset to view what city(ies) may be used\n",
    "\n",
    "df_healthy_cities = pd.read_csv(\"rank_healthy_cities.csv\")\n",
    "df_healthy_cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>overall_rank</th>\n",
       "      <th>city</th>\n",
       "      <th>total_health_score</th>\n",
       "      <th>health_care_rank</th>\n",
       "      <th>food_rank</th>\n",
       "      <th>fitness_rank</th>\n",
       "      <th>green_space_rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>73.99</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>70.62</td>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>San Diego, CA</td>\n",
       "      <td>70.01</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Portland, OR</td>\n",
       "      <td>65.66</td>\n",
       "      <td>61</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Washington, DC</td>\n",
       "      <td>63.87</td>\n",
       "      <td>47</td>\n",
       "      <td>9</td>\n",
       "      <td>26</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   overall_rank               city  total_health_score  health_care_rank  \\\n",
       "0             1  San Francisco, CA               73.99                29   \n",
       "1             2        Seattle, WA               70.62                19   \n",
       "2             3      San Diego, CA               70.01                25   \n",
       "3             4       Portland, OR               65.66                61   \n",
       "4             5     Washington, DC               63.87                47   \n",
       "\n",
       "   food_rank  fitness_rank  green_space_rank  \n",
       "0          1             4                 1  \n",
       "1          4             3                 2  \n",
       "2          3             1                 8  \n",
       "3          6            16                 3  \n",
       "4          9            26                 5  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# take the top 5 and the bottom 5 \n",
    "df_healthy_cities.sort_values(by = 'total_health_score', ascending =True)\n",
    "\n",
    "top5 = df_healthy_cities.head(5)\n",
    "top5.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>overall_rank</th>\n",
       "      <th>city</th>\n",
       "      <th>total_health_score</th>\n",
       "      <th>health_care_rank</th>\n",
       "      <th>food_rank</th>\n",
       "      <th>fitness_rank</th>\n",
       "      <th>green_space_rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>170</td>\n",
       "      <td>Memphis, TN</td>\n",
       "      <td>29.64</td>\n",
       "      <td>166</td>\n",
       "      <td>155</td>\n",
       "      <td>169</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>171</td>\n",
       "      <td>Shreveport, LA</td>\n",
       "      <td>27.42</td>\n",
       "      <td>165</td>\n",
       "      <td>171</td>\n",
       "      <td>171</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>172</td>\n",
       "      <td>Gulfport, MS</td>\n",
       "      <td>24.82</td>\n",
       "      <td>171</td>\n",
       "      <td>172</td>\n",
       "      <td>167</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>173</td>\n",
       "      <td>Laredo, TX</td>\n",
       "      <td>24.06</td>\n",
       "      <td>151</td>\n",
       "      <td>170</td>\n",
       "      <td>174</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>174</td>\n",
       "      <td>Brownsville, TX</td>\n",
       "      <td>21.41</td>\n",
       "      <td>174</td>\n",
       "      <td>174</td>\n",
       "      <td>173</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     overall_rank             city  total_health_score  health_care_rank  \\\n",
       "169           170      Memphis, TN               29.64               166   \n",
       "170           171   Shreveport, LA               27.42               165   \n",
       "171           172     Gulfport, MS               24.82               171   \n",
       "172           173       Laredo, TX               24.06               151   \n",
       "173           174  Brownsville, TX               21.41               174   \n",
       "\n",
       "     food_rank  fitness_rank  green_space_rank  \n",
       "169        155           169               160  \n",
       "170        171           171               165  \n",
       "171        172           167               174  \n",
       "172        170           174               156  \n",
       "173        174           173               173  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bottom5 = df_healthy_cities.tail(5)\n",
    "bottom5.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>overall_rank</th>\n",
       "      <th>city</th>\n",
       "      <th>total_health_score</th>\n",
       "      <th>health_care_rank</th>\n",
       "      <th>food_rank</th>\n",
       "      <th>fitness_rank</th>\n",
       "      <th>green_space_rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>73.99</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>70.62</td>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>San Diego, CA</td>\n",
       "      <td>70.01</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Portland, OR</td>\n",
       "      <td>65.66</td>\n",
       "      <td>61</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Washington, DC</td>\n",
       "      <td>63.87</td>\n",
       "      <td>47</td>\n",
       "      <td>9</td>\n",
       "      <td>26</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>170</td>\n",
       "      <td>Memphis, TN</td>\n",
       "      <td>29.64</td>\n",
       "      <td>166</td>\n",
       "      <td>155</td>\n",
       "      <td>169</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>171</td>\n",
       "      <td>Shreveport, LA</td>\n",
       "      <td>27.42</td>\n",
       "      <td>165</td>\n",
       "      <td>171</td>\n",
       "      <td>171</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>172</td>\n",
       "      <td>Gulfport, MS</td>\n",
       "      <td>24.82</td>\n",
       "      <td>171</td>\n",
       "      <td>172</td>\n",
       "      <td>167</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>173</td>\n",
       "      <td>Laredo, TX</td>\n",
       "      <td>24.06</td>\n",
       "      <td>151</td>\n",
       "      <td>170</td>\n",
       "      <td>174</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>174</td>\n",
       "      <td>Brownsville, TX</td>\n",
       "      <td>21.41</td>\n",
       "      <td>174</td>\n",
       "      <td>174</td>\n",
       "      <td>173</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     overall_rank               city  total_health_score  health_care_rank  \\\n",
       "0               1  San Francisco, CA               73.99                29   \n",
       "1               2        Seattle, WA               70.62                19   \n",
       "2               3      San Diego, CA               70.01                25   \n",
       "3               4       Portland, OR               65.66                61   \n",
       "4               5     Washington, DC               63.87                47   \n",
       "169           170        Memphis, TN               29.64               166   \n",
       "170           171     Shreveport, LA               27.42               165   \n",
       "171           172       Gulfport, MS               24.82               171   \n",
       "172           173         Laredo, TX               24.06               151   \n",
       "173           174    Brownsville, TX               21.41               174   \n",
       "\n",
       "     food_rank  fitness_rank  green_space_rank  \n",
       "0            1             4                 1  \n",
       "1            4             3                 2  \n",
       "2            3             1                 8  \n",
       "3            6            16                 3  \n",
       "4            9            26                 5  \n",
       "169        155           169               160  \n",
       "170        171           171               165  \n",
       "171        172           167               174  \n",
       "172        170           174               156  \n",
       "173        174           173               173  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "city_scores = top5.append(bottom5)\n",
    "city_scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RangeIndex(start=0, stop=10, step=1)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#reset index to begin at zero again, instead of 1, due to dropping the first row\n",
    "city_scores.reset_index(drop=True,inplace=True)\n",
    "city_scores.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>overall_rank</th>\n",
       "      <th>city</th>\n",
       "      <th>total_health_score</th>\n",
       "      <th>health_care_rank</th>\n",
       "      <th>food_rank</th>\n",
       "      <th>fitness_rank</th>\n",
       "      <th>green_space_rank</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>San Francisco, CA</td>\n",
       "      <td>73.99</td>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>70.62</td>\n",
       "      <td>19</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>San Diego, CA</td>\n",
       "      <td>70.01</td>\n",
       "      <td>25</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Portland, OR</td>\n",
       "      <td>65.66</td>\n",
       "      <td>61</td>\n",
       "      <td>6</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Washington, DC</td>\n",
       "      <td>63.87</td>\n",
       "      <td>47</td>\n",
       "      <td>9</td>\n",
       "      <td>26</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>170</td>\n",
       "      <td>Memphis, TN</td>\n",
       "      <td>29.64</td>\n",
       "      <td>166</td>\n",
       "      <td>155</td>\n",
       "      <td>169</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>171</td>\n",
       "      <td>Shreveport, LA</td>\n",
       "      <td>27.42</td>\n",
       "      <td>165</td>\n",
       "      <td>171</td>\n",
       "      <td>171</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>172</td>\n",
       "      <td>Gulfport, MS</td>\n",
       "      <td>24.82</td>\n",
       "      <td>171</td>\n",
       "      <td>172</td>\n",
       "      <td>167</td>\n",
       "      <td>174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>173</td>\n",
       "      <td>Laredo, TX</td>\n",
       "      <td>24.06</td>\n",
       "      <td>151</td>\n",
       "      <td>170</td>\n",
       "      <td>174</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>174</td>\n",
       "      <td>Brownsville, TX</td>\n",
       "      <td>21.41</td>\n",
       "      <td>174</td>\n",
       "      <td>174</td>\n",
       "      <td>173</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   overall_rank               city  total_health_score  health_care_rank  \\\n",
       "0             1  San Francisco, CA               73.99                29   \n",
       "1             2        Seattle, WA               70.62                19   \n",
       "2             3      San Diego, CA               70.01                25   \n",
       "3             4       Portland, OR               65.66                61   \n",
       "4             5     Washington, DC               63.87                47   \n",
       "5           170        Memphis, TN               29.64               166   \n",
       "6           171     Shreveport, LA               27.42               165   \n",
       "7           172       Gulfport, MS               24.82               171   \n",
       "8           173         Laredo, TX               24.06               151   \n",
       "9           174    Brownsville, TX               21.41               174   \n",
       "\n",
       "   food_rank  fitness_rank  green_space_rank  \n",
       "0          1             4                 1  \n",
       "1          4             3                 2  \n",
       "2          3             1                 8  \n",
       "3          6            16                 3  \n",
       "4          9            26                 5  \n",
       "5        155           169               160  \n",
       "6        171           171               165  \n",
       "7        172           167               174  \n",
       "8        170           174               156  \n",
       "9        174           173               173  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "city_scores"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get Sample Data from Foursquare"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "38.8949855 -77.0365708\n"
     ]
    }
   ],
   "source": [
    "address = 'Washington, DC'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"foursquare_agent\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print(latitude, longitude)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5ef0484a882fc7001bd497d9'},\n",
       " 'response': {'venues': [{'id': '504f874fe4b06643340e17b5',\n",
       "    'name': 'Hains Point Bike Loop',\n",
       "    'location': {'address': 'Ohio Dr.',\n",
       "     'lat': 38.87703055070882,\n",
       "     'lng': -77.0267238038791,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.87703055070882,\n",
       "       'lng': -77.0267238038791}],\n",
       "     'distance': 2173,\n",
       "     'postalCode': '20024',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['Ohio Dr.',\n",
       "      'Washington, D.C. 20024',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '56aa371be4b08b9a8d57355e',\n",
       "      'name': 'Bike Trail',\n",
       "      'pluralName': 'Bike Trails',\n",
       "      'shortName': 'Bike Trail',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/hikingtrail_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592805791',\n",
       "    'hasPerk': False},\n",
       "   {'id': '4ae207f4f964a520f78921e3',\n",
       "    'name': 'Bike And Roll DC',\n",
       "    'location': {'address': \"955 L'Enfant Plaza SW\",\n",
       "     'lat': 38.89351844386055,\n",
       "     'lng': -77.02776641606327,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.89351844386055,\n",
       "       'lng': -77.02776641606327}],\n",
       "     'distance': 780,\n",
       "     'postalCode': '20024',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': [\"955 L'Enfant Plaza SW\",\n",
       "      'Washington, D.C. 20024',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4e4c9077bd41f78e849722f9',\n",
       "      'name': 'Bike Rental / Bike Share',\n",
       "      'pluralName': 'Bike Rentals / Bike Shares',\n",
       "      'shortName': 'Bike',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/bikeshop_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'venuePage': {'id': '75708136'},\n",
       "    'referralId': 'v-1592805791',\n",
       "    'hasPerk': False},\n",
       "   {'id': '4ff22829e4b013bcfc266bbf',\n",
       "    'name': 'Bike The Sites',\n",
       "    'location': {'address': '1100 Pennsylvania Ave NW',\n",
       "     'lat': 38.893586251570554,\n",
       "     'lng': -77.02791588306302,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.893586251570554,\n",
       "       'lng': -77.02791588306302}],\n",
       "     'distance': 765,\n",
       "     'postalCode': '20004',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['1100 Pennsylvania Ave NW',\n",
       "      'Washington, D.C. 20004',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '56aa371be4b08b9a8d573520',\n",
       "      'name': 'Tour Provider',\n",
       "      'pluralName': 'Tour Providers',\n",
       "      'shortName': 'Tour Provider',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/arts_entertainment/default_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592805791',\n",
       "    'hasPerk': False},\n",
       "   {'id': '5a8ac09047f8767d3767c550',\n",
       "    'name': 'Johnny Love Bike Tours',\n",
       "    'location': {'address': '1440 G Street NW',\n",
       "     'lat': 38.8978361,\n",
       "     'lng': -77.0328214,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.8978361,\n",
       "       'lng': -77.0328214}],\n",
       "     'distance': 454,\n",
       "     'postalCode': '20005',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['1440 G Street NW',\n",
       "      'Washington, D.C. 20005',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '56aa371be4b08b9a8d573520',\n",
       "      'name': 'Tour Provider',\n",
       "      'pluralName': 'Tour Providers',\n",
       "      'shortName': 'Tour Provider',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/arts_entertainment/default_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'venuePage': {'id': '482246980'},\n",
       "    'referralId': 'v-1592805791',\n",
       "    'hasPerk': False},\n",
       "   {'id': '4db03c831e729fcc563b77c2',\n",
       "    'name': 'Capital Bikeshare - 19th & E St NW',\n",
       "    'location': {'address': '1900 E St NW',\n",
       "     'crossStreet': 'at 19th St NW',\n",
       "     'lat': 38.89467239379883,\n",
       "     'lng': -77.044189453125,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.89467239379883,\n",
       "       'lng': -77.044189453125}],\n",
       "     'distance': 660,\n",
       "     'postalCode': '20415',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['1900 E St NW (at 19th St NW)',\n",
       "      'Washington, D.C. 20415',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4e4c9077bd41f78e849722f9',\n",
       "      'name': 'Bike Rental / Bike Share',\n",
       "      'pluralName': 'Bike Rentals / Bike Shares',\n",
       "      'shortName': 'Bike',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/bikeshop_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592805791',\n",
       "    'hasPerk': False},\n",
       "   {'id': '53f9f418498e85885794ad1d',\n",
       "    'name': 'Pennsylvania Avenue Bike Lane',\n",
       "    'location': {'lat': 38.89589978583692,\n",
       "     'lng': -77.03092414389579,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.89589978583692,\n",
       "       'lng': -77.03092414389579}],\n",
       "     'distance': 499,\n",
       "     'postalCode': '20004',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['Washington, D.C. 20004', 'United States']},\n",
       "    'categories': [{'id': '56aa371be4b08b9a8d57355e',\n",
       "      'name': 'Bike Trail',\n",
       "      'pluralName': 'Bike Trails',\n",
       "      'shortName': 'Bike Trail',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/hikingtrail_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592805791',\n",
       "    'hasPerk': False},\n",
       "   {'id': '5d4a838c176e1a00086399bb',\n",
       "    'name': 'Bike Law',\n",
       "    'location': {'address': '1810 Florida Ave NW #1',\n",
       "     'lat': 38.91621398925781,\n",
       "     'lng': -77.04227447509766,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.91621398925781,\n",
       "       'lng': -77.04227447509766}],\n",
       "     'distance': 2414,\n",
       "     'postalCode': '20009',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'WA',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['1810 Florida Ave NW #1',\n",
       "      'Washington, WA 20009',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '52f2ab2ebcbc57f1066b8b3f',\n",
       "      'name': 'Lawyer',\n",
       "      'pluralName': 'Lawyers',\n",
       "      'shortName': 'Lawyer',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/education/lawschool_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'venuePage': {'id': '556566446'},\n",
       "    'referralId': 'v-1592805791',\n",
       "    'hasPerk': False},\n",
       "   {'id': '4bf5176be5eba59318532090',\n",
       "    'name': 'Rock Creek Running Trail',\n",
       "    'location': {'address': 'Rock Creek Trail',\n",
       "     'lat': 38.907833655916626,\n",
       "     'lng': -77.04896094397537,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.907833655916626,\n",
       "       'lng': -77.04896094397537}],\n",
       "     'distance': 1788,\n",
       "     'postalCode': '20008',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['Rock Creek Trail',\n",
       "      'Washington, D.C. 20008',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d159941735',\n",
       "      'name': 'Trail',\n",
       "      'pluralName': 'Trails',\n",
       "      'shortName': 'Trail',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/hikingtrail_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592805791',\n",
       "    'hasPerk': False},\n",
       "   {'id': '4e385791149579ccbaf7003b',\n",
       "    'name': 'The Time Trail Of John Brown',\n",
       "    'location': {'address': 'National museum of American History',\n",
       "     'lat': 38.891283,\n",
       "     'lng': -77.029073,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.891283,\n",
       "       'lng': -77.029073}],\n",
       "     'distance': 769,\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['National museum of American History',\n",
       "      'Washington, D.C.',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '56aa371be4b08b9a8d573532',\n",
       "      'name': 'Exhibit',\n",
       "      'pluralName': 'Exhibits',\n",
       "      'shortName': 'Exhibit',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/arts_entertainment/default_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592805791',\n",
       "    'hasPerk': False},\n",
       "   {'id': '4f7ae687e4b0794c2ab12818',\n",
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       "     'country': 'United States',\n",
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       "      'Washington, D.C. 20052',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4e4c9077bd41f78e849722f9',\n",
       "      'name': 'Bike Rental / Bike Share',\n",
       "      'pluralName': 'Bike Rentals / Bike Shares',\n",
       "      'shortName': 'Bike',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/bikeshop_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592805791',\n",
       "    'hasPerk': False},\n",
       "   {'id': '4f502bf3e4b057845ad1354b',\n",
       "    'name': 'Capital Bikeshare - 19th St & Constitution Ave NW',\n",
       "    'location': {'address': 'Constitution Ave NW',\n",
       "     'crossStreet': '19th St',\n",
       "     'lat': 38.89243,\n",
       "     'lng': -77.043622,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.89243,\n",
       "       'lng': -77.043622}],\n",
       "     'distance': 673,\n",
       "     'postalCode': '20006',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['Constitution Ave NW (19th St)',\n",
       "      'Washington, D.C. 20006',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4e4c9077bd41f78e849722f9',\n",
       "      'name': 'Bike Rental / Bike Share',\n",
       "      'pluralName': 'Bike Rentals / Bike Shares',\n",
       "      'shortName': 'Bike',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/bikeshop_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592805791',\n",
       "    'hasPerk': False},\n",
       "   {'id': '5db72ded9bf6c800089e3216',\n",
       "    'name': 'Capital Bikeshare - 17th St & Independence Ave SW',\n",
       "    'location': {'address': '17th St SW',\n",
       "     'crossStreet': 'at Independence Ave SW',\n",
       "     'lat': 38.887973,\n",
       "     'lng': -77.038505,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.887973,\n",
       "       'lng': -77.038505}],\n",
       "     'distance': 798,\n",
       "     'postalCode': '20006',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['17th St SW (at Independence Ave SW)',\n",
       "      'Washington, D.C. 20006',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4e4c9077bd41f78e849722f9',\n",
       "      'name': 'Bike Rental / Bike Share',\n",
       "      'pluralName': 'Bike Rentals / Bike Shares',\n",
       "      'shortName': 'Bike',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/bikeshop_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592805791',\n",
       "    'hasPerk': False},\n",
       "   {'id': '4a5a8304f964a52079ba1fe3',\n",
       "    'name': 'The Bike Rack',\n",
       "    'location': {'address': '1412 Q St NW',\n",
       "     'crossStreet': 'btwn 14th & 15th St NW',\n",
       "     'lat': 38.910991353229626,\n",
       "     'lng': -77.032573689576,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.910991353229626,\n",
       "       'lng': -77.032573689576}],\n",
       "     'distance': 1815,\n",
       "     'postalCode': '20009',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['1412 Q St NW (btwn 14th & 15th St NW)',\n",
       "      'Washington, D.C. 20009',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d115951735',\n",
       "      'name': 'Bike Shop',\n",
       "      'pluralName': 'Bike Shops',\n",
       "      'shortName': 'Bike Shop',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/bikeshop_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'venuePage': {'id': '52326605'},\n",
       "    'referralId': 'v-1592805791',\n",
       "    'hasPerk': False},\n",
       "   {'id': '5d72beb110403700088d8caa',\n",
       "    'name': 'Capital Bikeshare - Farragut Square / 17th & K St NW',\n",
       "    'location': {'address': '17th St NW',\n",
       "     'crossStreet': 'at K St NW',\n",
       "     'lat': 38.902122,\n",
       "     'lng': -77.038445,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.902122,\n",
       "       'lng': -77.038445}],\n",
       "     'distance': 810,\n",
       "     'postalCode': '20006',\n",
       "     'cc': 'US',\n",
       "     'neighborhood': 'Connecticut Avenue - K Street',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['17th St NW (at K St NW)',\n",
       "      'Washington, D.C. 20006',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4e4c9077bd41f78e849722f9',\n",
       "      'name': 'Bike Rental / Bike Share',\n",
       "      'pluralName': 'Bike Rentals / Bike Shares',\n",
       "      'shortName': 'Bike',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/bikeshop_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592805791',\n",
       "    'hasPerk': False}]}}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>504f874fe4b06643340e17b5</td>\n",
       "      <td>Hains Point Bike Loop</td>\n",
       "      <td>[{'id': '56aa371be4b08b9a8d57355e', 'name': 'B...</td>\n",
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       "      <td>[{'label': 'display', 'lat': 38.87703055070882...</td>\n",
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       "      <td>[Ohio Dr., Washington, D.C. 20024, United States]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>Bike And Roll DC</td>\n",
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       "      <td>v-1592805791</td>\n",
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       "      <td>955 L'Enfant Plaza SW</td>\n",
       "      <td>38.893518</td>\n",
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       "      <td>75708136</td>\n",
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       "      <td>Bike The Sites</td>\n",
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       "      <td>v-1592805791</td>\n",
       "      <td>False</td>\n",
       "      <td>1100 Pennsylvania Ave NW</td>\n",
       "      <td>38.893586</td>\n",
       "      <td>-77.027916</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89358625157055...</td>\n",
       "      <td>765</td>\n",
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       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1100 Pennsylvania Ave NW, Washington, D.C. 20...</td>\n",
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       "      <td>NaN</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5a8ac09047f8767d3767c550</td>\n",
       "      <td>Johnny Love Bike Tours</td>\n",
       "      <td>[{'id': '56aa371be4b08b9a8d573520', 'name': 'T...</td>\n",
       "      <td>v-1592805791</td>\n",
       "      <td>False</td>\n",
       "      <td>1440 G Street NW</td>\n",
       "      <td>38.897836</td>\n",
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       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1440 G Street NW, Washington, D.C. 20005, Uni...</td>\n",
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       "      <td>Capital Bikeshare - 19th &amp; E St NW</td>\n",
       "      <td>[{'id': '4e4c9077bd41f78e849722f9', 'name': 'B...</td>\n",
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       "      <td>[{'label': 'display', 'lat': 38.89467239379883...</td>\n",
       "      <td>660</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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      ],
      "text/plain": [
       "                         id                                name  \\\n",
       "0  504f874fe4b06643340e17b5               Hains Point Bike Loop   \n",
       "1  4ae207f4f964a520f78921e3                    Bike And Roll DC   \n",
       "2  4ff22829e4b013bcfc266bbf                      Bike The Sites   \n",
       "3  5a8ac09047f8767d3767c550              Johnny Love Bike Tours   \n",
       "4  4db03c831e729fcc563b77c2  Capital Bikeshare - 19th & E St NW   \n",
       "\n",
       "                                          categories    referralId  hasPerk  \\\n",
       "0  [{'id': '56aa371be4b08b9a8d57355e', 'name': 'B...  v-1592805791    False   \n",
       "1  [{'id': '4e4c9077bd41f78e849722f9', 'name': 'B...  v-1592805791    False   \n",
       "2  [{'id': '56aa371be4b08b9a8d573520', 'name': 'T...  v-1592805791    False   \n",
       "3  [{'id': '56aa371be4b08b9a8d573520', 'name': 'T...  v-1592805791    False   \n",
       "4  [{'id': '4e4c9077bd41f78e849722f9', 'name': 'B...  v-1592805791    False   \n",
       "\n",
       "           location.address  location.lat  location.lng  \\\n",
       "0                  Ohio Dr.     38.877031    -77.026724   \n",
       "1     955 L'Enfant Plaza SW     38.893518    -77.027766   \n",
       "2  1100 Pennsylvania Ave NW     38.893586    -77.027916   \n",
       "3          1440 G Street NW     38.897836    -77.032821   \n",
       "4              1900 E St NW     38.894672    -77.044189   \n",
       "\n",
       "                             location.labeledLatLngs  location.distance  \\\n",
       "0  [{'label': 'display', 'lat': 38.87703055070882...               2173   \n",
       "1  [{'label': 'display', 'lat': 38.89351844386055...                780   \n",
       "2  [{'label': 'display', 'lat': 38.89358625157055...                765   \n",
       "3  [{'label': 'display', 'lat': 38.8978361, 'lng'...                454   \n",
       "4  [{'label': 'display', 'lat': 38.89467239379883...                660   \n",
       "\n",
       "  location.postalCode location.cc location.city location.state  \\\n",
       "0               20024          US    Washington           D.C.   \n",
       "1               20024          US    Washington           D.C.   \n",
       "2               20004          US    Washington           D.C.   \n",
       "3               20005          US    Washington           D.C.   \n",
       "4               20415          US    Washington           D.C.   \n",
       "\n",
       "  location.country                          location.formattedAddress  \\\n",
       "0    United States  [Ohio Dr., Washington, D.C. 20024, United States]   \n",
       "1    United States  [955 L'Enfant Plaza SW, Washington, D.C. 20024...   \n",
       "2    United States  [1100 Pennsylvania Ave NW, Washington, D.C. 20...   \n",
       "3    United States  [1440 G Street NW, Washington, D.C. 20005, Uni...   \n",
       "4    United States  [1900 E St NW (at 19th St NW), Washington, D.C...   \n",
       "\n",
       "  venuePage.id location.crossStreet location.neighborhood  \n",
       "0          NaN                  NaN                   NaN  \n",
       "1     75708136                  NaN                   NaN  \n",
       "2          NaN                  NaN                   NaN  \n",
       "3    482246980                  NaN                   NaN  \n",
       "4          NaN        at 19th St NW                   NaN  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# assign relevant part of JSON to venues\n",
    "venues = results['response']['venues']\n",
    "\n",
    "# tranform venues into a dataframe\n",
    "washington_biketrails = pd.json_normalize(venues)\n",
    "washington_biketrails.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
       "      <td>Hains Point Bike Loop</td>\n",
       "      <td>Bike Trail</td>\n",
       "      <td>Ohio Dr.</td>\n",
       "      <td>38.877031</td>\n",
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       "      <td>[{'label': 'display', 'lat': 38.87703055070882...</td>\n",
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       "      <th>1</th>\n",
       "      <td>Bike And Roll DC</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>955 L'Enfant Plaza SW</td>\n",
       "      <td>38.893518</td>\n",
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       "      <td>780</td>\n",
       "      <td>20024</td>\n",
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       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[955 L'Enfant Plaza SW, Washington, D.C. 20024...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4ae207f4f964a520f78921e3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bike The Sites</td>\n",
       "      <td>Tour Provider</td>\n",
       "      <td>1100 Pennsylvania Ave NW</td>\n",
       "      <td>38.893586</td>\n",
       "      <td>-77.027916</td>\n",
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       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1100 Pennsylvania Ave NW, Washington, D.C. 20...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Johnny Love Bike Tours</td>\n",
       "      <td>Tour Provider</td>\n",
       "      <td>1440 G Street NW</td>\n",
       "      <td>38.897836</td>\n",
       "      <td>-77.032821</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.8978361, 'lng'...</td>\n",
       "      <td>454</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1440 G Street NW, Washington, D.C. 20005, Uni...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5a8ac09047f8767d3767c550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Capital Bikeshare - 19th &amp; E St NW</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>1900 E St NW</td>\n",
       "      <td>38.894672</td>\n",
       "      <td>-77.044189</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89467239379883...</td>\n",
       "      <td>660</td>\n",
       "      <td>20415</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1900 E St NW (at 19th St NW), Washington, D.C...</td>\n",
       "      <td>at 19th St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4db03c831e729fcc563b77c2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Pennsylvania Avenue Bike Lane</td>\n",
       "      <td>Bike Trail</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.895900</td>\n",
       "      <td>-77.030924</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89589978583692...</td>\n",
       "      <td>499</td>\n",
       "      <td>20004</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[Washington, D.C. 20004, United States]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53f9f418498e85885794ad1d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Bike Law</td>\n",
       "      <td>Lawyer</td>\n",
       "      <td>1810 Florida Ave NW #1</td>\n",
       "      <td>38.916214</td>\n",
       "      <td>-77.042274</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.91621398925781...</td>\n",
       "      <td>2414</td>\n",
       "      <td>20009</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>WA</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1810 Florida Ave NW #1, Washington, WA 20009,...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5d4a838c176e1a00086399bb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Rock Creek Running Trail</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Rock Creek Trail</td>\n",
       "      <td>38.907834</td>\n",
       "      <td>-77.048961</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90783365591662...</td>\n",
       "      <td>1788</td>\n",
       "      <td>20008</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[Rock Creek Trail, Washington, D.C. 20008, Uni...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4bf5176be5eba59318532090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>The Time Trail Of John Brown</td>\n",
       "      <td>Exhibit</td>\n",
       "      <td>National museum of American History</td>\n",
       "      <td>38.891283</td>\n",
       "      <td>-77.029073</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.891283, 'lng':...</td>\n",
       "      <td>769</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[National museum of American History, Washingt...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4e385791149579ccbaf7003b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Capital Bikeshare - Smithsonian-National Mall ...</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>Jefferson Dr SW</td>\n",
       "      <td>38.889041</td>\n",
       "      <td>-77.028574</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.88904148619195...</td>\n",
       "      <td>958</td>\n",
       "      <td>20024</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[Jefferson Dr SW (at 12th St SW), Washington, ...</td>\n",
       "      <td>at 12th St SW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4f7ae687e4b0794c2ab12818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Capital Bikeshare - Maryland &amp; Independence Av...</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>Maryland Ave SW</td>\n",
       "      <td>38.887407</td>\n",
       "      <td>-77.018936</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.88740696919903...</td>\n",
       "      <td>1745</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[Maryland Ave SW (at Independence Ave SW), Was...</td>\n",
       "      <td>at Independence Ave SW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4f557035e4b072b51d4e9f32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Conte’s Bike Shop</td>\n",
       "      <td>Bike Shop</td>\n",
       "      <td>1412 Q St NW</td>\n",
       "      <td>38.910873</td>\n",
       "      <td>-77.032616</td>\n",
       "      <td>[{'label': 'entrance', 'lat': 38.911016, 'lng'...</td>\n",
       "      <td>1801</td>\n",
       "      <td>20009</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1412 Q St NW, Washington, D.C. 20009, United ...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5e2fc3003d59f800083c61c9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Capital Bikeshare - 14th &amp; G St NW</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>14th St.</td>\n",
       "      <td>38.900103</td>\n",
       "      <td>-77.030401</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90010256253629...</td>\n",
       "      <td>781</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[14th St. (G St.), Washington, D.C. 20005, Uni...</td>\n",
       "      <td>G St.</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4dbb21cefa8cee727328edd1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Capital Bikeshare - 15th &amp; P St NW</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>P St NW</td>\n",
       "      <td>38.909758</td>\n",
       "      <td>-77.034516</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90975812408625...</td>\n",
       "      <td>1654</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[P St NW (at 15th St NW), Washington, D.C., Un...</td>\n",
       "      <td>at 15th St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4d9910abb188721eb9393737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>L St Bike Lane</td>\n",
       "      <td>Bike Trail</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.905660</td>\n",
       "      <td>-77.036749</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90566049659554...</td>\n",
       "      <td>1188</td>\n",
       "      <td>20036</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[Washington, D.C. 20036, United States]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50b6af0ce4b0c9f8dc0ef389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Blazing Trails</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>C St NW</td>\n",
       "      <td>38.894476</td>\n",
       "      <td>-77.042414</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.8944757, 'lng'...</td>\n",
       "      <td>509</td>\n",
       "      <td>20240</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[C St NW, Washington, D.C. 20240, United States]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4f706151e4b09e735735bade</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Capital Bikeshare - 14th &amp; G St NW</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>14th St NW</td>\n",
       "      <td>38.898216</td>\n",
       "      <td>-77.031901</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89821634225043...</td>\n",
       "      <td>541</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[14th St NW (at G St NW), Washington, D.C. 200...</td>\n",
       "      <td>at G St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4d231a615c4ca1cd3005b73d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Capital Bikeshare - 18th &amp; C St NW</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>203 18th Street Northwest</td>\n",
       "      <td>38.893394</td>\n",
       "      <td>-77.041489</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89339447021484...</td>\n",
       "      <td>461</td>\n",
       "      <td>20240</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[203 18th Street Northwest, Washington, D.C. 2...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58f6ae669e0d543f78742dfe</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>14th Street Bike Lane</td>\n",
       "      <td>Bike Trail</td>\n",
       "      <td>14th Street, NW</td>\n",
       "      <td>38.911013</td>\n",
       "      <td>-77.031855</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.911013, 'lng':...</td>\n",
       "      <td>1830</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[14th Street, NW, Washington, D.C., United Sta...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>559063fa498e512b3192a0c5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Capital Bikeshare - 18th &amp; M St NW</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>18th St NW</td>\n",
       "      <td>38.905445</td>\n",
       "      <td>-77.041830</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90544466793902...</td>\n",
       "      <td>1250</td>\n",
       "      <td>20036</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[18th St NW (at M St NW), Washington, D.C. 200...</td>\n",
       "      <td>at M St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4d7265755838a093b5720adb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Capital Bikeshare - 17th &amp; G St NW</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>G St NW</td>\n",
       "      <td>38.897936</td>\n",
       "      <td>-77.040426</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89793642354335...</td>\n",
       "      <td>468</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[G St NW (at 17th St NW), Washington, D.C., Un...</td>\n",
       "      <td>at 17th St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54353afe498e8abc65804338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>15th Street Bike Lane</td>\n",
       "      <td>Road</td>\n",
       "      <td>15th St NW</td>\n",
       "      <td>38.910545</td>\n",
       "      <td>-77.034720</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.91054501603177...</td>\n",
       "      <td>1739</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[15th St NW, Washington, D.C. 20005, United St...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4fdf7877e4b019d607ff7b9d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Capital Bikeshare - 17th &amp; Massachusetts Ave NW</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>17th St NW</td>\n",
       "      <td>38.908112</td>\n",
       "      <td>-77.038408</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90811194293178...</td>\n",
       "      <td>1469</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[17th St NW (at Massachusetts Ave NW), Washing...</td>\n",
       "      <td>at Massachusetts Ave NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>519e07ad498e5ec85a76e08c</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Capital Bikeshare - Vermont Ave &amp; I St NW</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.901190</td>\n",
       "      <td>-77.034515</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90119, 'lng': ...</td>\n",
       "      <td>713</td>\n",
       "      <td>20571</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[Washington, D.C. 20571, United States]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5b4fc3fb60d11b002c9008bf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Capital Bikeshare - 14th &amp; D St NW</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.894812</td>\n",
       "      <td>-77.031351</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89481196779829...</td>\n",
       "      <td>452</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[Washington, D.C., United States]</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4dd16037d22deadedd985a55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Law Learning Center Bike Storage</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>2024 G St NW</td>\n",
       "      <td>38.898057</td>\n",
       "      <td>-77.046433</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.898057, 'lng':...</td>\n",
       "      <td>920</td>\n",
       "      <td>20052</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[2024 G St NW (at 21st St NW), Washington, D.C...</td>\n",
       "      <td>at 21st St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>516e8e34e4b067d5799a6df2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Capital Bikeshare - 19th St &amp; Constitution Ave NW</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>Constitution Ave NW</td>\n",
       "      <td>38.892430</td>\n",
       "      <td>-77.043622</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89243, 'lng': ...</td>\n",
       "      <td>673</td>\n",
       "      <td>20006</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[Constitution Ave NW (19th St), Washington, D....</td>\n",
       "      <td>19th St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4f502bf3e4b057845ad1354b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Capital Bikeshare - 17th St &amp; Independence Ave SW</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>17th St SW</td>\n",
       "      <td>38.887973</td>\n",
       "      <td>-77.038505</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.887973, 'lng':...</td>\n",
       "      <td>798</td>\n",
       "      <td>20006</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[17th St SW (at Independence Ave SW), Washingt...</td>\n",
       "      <td>at Independence Ave SW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5db72ded9bf6c800089e3216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>The Bike Rack</td>\n",
       "      <td>Bike Shop</td>\n",
       "      <td>1412 Q St NW</td>\n",
       "      <td>38.910991</td>\n",
       "      <td>-77.032574</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.91099135322962...</td>\n",
       "      <td>1815</td>\n",
       "      <td>20009</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1412 Q St NW (btwn 14th &amp; 15th St NW), Washin...</td>\n",
       "      <td>btwn 14th &amp; 15th St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4a5a8304f964a52079ba1fe3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Capital Bikeshare - Farragut Square / 17th &amp; K...</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "      <td>17th St NW</td>\n",
       "      <td>38.902122</td>\n",
       "      <td>-77.038445</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.902122, 'lng':...</td>\n",
       "      <td>810</td>\n",
       "      <td>20006</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[17th St NW (at K St NW), Washington, D.C. 200...</td>\n",
       "      <td>at K St NW</td>\n",
       "      <td>Connecticut Avenue - K Street</td>\n",
       "      <td>5d72beb110403700088d8caa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 name  \\\n",
       "0                               Hains Point Bike Loop   \n",
       "1                                    Bike And Roll DC   \n",
       "2                                      Bike The Sites   \n",
       "3                              Johnny Love Bike Tours   \n",
       "4                  Capital Bikeshare - 19th & E St NW   \n",
       "5                       Pennsylvania Avenue Bike Lane   \n",
       "6                                            Bike Law   \n",
       "7                            Rock Creek Running Trail   \n",
       "8                        The Time Trail Of John Brown   \n",
       "9   Capital Bikeshare - Smithsonian-National Mall ...   \n",
       "10  Capital Bikeshare - Maryland & Independence Av...   \n",
       "11                                  Conte’s Bike Shop   \n",
       "12                 Capital Bikeshare - 14th & G St NW   \n",
       "13                 Capital Bikeshare - 15th & P St NW   \n",
       "14                                     L St Bike Lane   \n",
       "15                                     Blazing Trails   \n",
       "16                 Capital Bikeshare - 14th & G St NW   \n",
       "17                 Capital Bikeshare - 18th & C St NW   \n",
       "18                              14th Street Bike Lane   \n",
       "19                 Capital Bikeshare - 18th & M St NW   \n",
       "20                 Capital Bikeshare - 17th & G St NW   \n",
       "21                              15th Street Bike Lane   \n",
       "22    Capital Bikeshare - 17th & Massachusetts Ave NW   \n",
       "23          Capital Bikeshare - Vermont Ave & I St NW   \n",
       "24                 Capital Bikeshare - 14th & D St NW   \n",
       "25                   Law Learning Center Bike Storage   \n",
       "26  Capital Bikeshare - 19th St & Constitution Ave NW   \n",
       "27  Capital Bikeshare - 17th St & Independence Ave SW   \n",
       "28                                      The Bike Rack   \n",
       "29  Capital Bikeshare - Farragut Square / 17th & K...   \n",
       "\n",
       "                  categories                              address        lat  \\\n",
       "0                 Bike Trail                             Ohio Dr.  38.877031   \n",
       "1   Bike Rental / Bike Share                955 L'Enfant Plaza SW  38.893518   \n",
       "2              Tour Provider             1100 Pennsylvania Ave NW  38.893586   \n",
       "3              Tour Provider                     1440 G Street NW  38.897836   \n",
       "4   Bike Rental / Bike Share                         1900 E St NW  38.894672   \n",
       "5                 Bike Trail                                  NaN  38.895900   \n",
       "6                     Lawyer               1810 Florida Ave NW #1  38.916214   \n",
       "7                      Trail                     Rock Creek Trail  38.907834   \n",
       "8                    Exhibit  National museum of American History  38.891283   \n",
       "9   Bike Rental / Bike Share                      Jefferson Dr SW  38.889041   \n",
       "10  Bike Rental / Bike Share                      Maryland Ave SW  38.887407   \n",
       "11                 Bike Shop                         1412 Q St NW  38.910873   \n",
       "12  Bike Rental / Bike Share                             14th St.  38.900103   \n",
       "13  Bike Rental / Bike Share                              P St NW  38.909758   \n",
       "14                Bike Trail                                  NaN  38.905660   \n",
       "15        Athletics & Sports                              C St NW  38.894476   \n",
       "16  Bike Rental / Bike Share                           14th St NW  38.898216   \n",
       "17  Bike Rental / Bike Share            203 18th Street Northwest  38.893394   \n",
       "18                Bike Trail                      14th Street, NW  38.911013   \n",
       "19  Bike Rental / Bike Share                           18th St NW  38.905445   \n",
       "20  Bike Rental / Bike Share                              G St NW  38.897936   \n",
       "21                      Road                           15th St NW  38.910545   \n",
       "22  Bike Rental / Bike Share                           17th St NW  38.908112   \n",
       "23  Bike Rental / Bike Share                                  NaN  38.901190   \n",
       "24  Bike Rental / Bike Share                                  NaN  38.894812   \n",
       "25  Bike Rental / Bike Share                         2024 G St NW  38.898057   \n",
       "26  Bike Rental / Bike Share                  Constitution Ave NW  38.892430   \n",
       "27  Bike Rental / Bike Share                           17th St SW  38.887973   \n",
       "28                 Bike Shop                         1412 Q St NW  38.910991   \n",
       "29  Bike Rental / Bike Share                           17th St NW  38.902122   \n",
       "\n",
       "          lng                                     labeledLatLngs  distance  \\\n",
       "0  -77.026724  [{'label': 'display', 'lat': 38.87703055070882...      2173   \n",
       "1  -77.027766  [{'label': 'display', 'lat': 38.89351844386055...       780   \n",
       "2  -77.027916  [{'label': 'display', 'lat': 38.89358625157055...       765   \n",
       "3  -77.032821  [{'label': 'display', 'lat': 38.8978361, 'lng'...       454   \n",
       "4  -77.044189  [{'label': 'display', 'lat': 38.89467239379883...       660   \n",
       "5  -77.030924  [{'label': 'display', 'lat': 38.89589978583692...       499   \n",
       "6  -77.042274  [{'label': 'display', 'lat': 38.91621398925781...      2414   \n",
       "7  -77.048961  [{'label': 'display', 'lat': 38.90783365591662...      1788   \n",
       "8  -77.029073  [{'label': 'display', 'lat': 38.891283, 'lng':...       769   \n",
       "9  -77.028574  [{'label': 'display', 'lat': 38.88904148619195...       958   \n",
       "10 -77.018936  [{'label': 'display', 'lat': 38.88740696919903...      1745   \n",
       "11 -77.032616  [{'label': 'entrance', 'lat': 38.911016, 'lng'...      1801   \n",
       "12 -77.030401  [{'label': 'display', 'lat': 38.90010256253629...       781   \n",
       "13 -77.034516  [{'label': 'display', 'lat': 38.90975812408625...      1654   \n",
       "14 -77.036749  [{'label': 'display', 'lat': 38.90566049659554...      1188   \n",
       "15 -77.042414  [{'label': 'display', 'lat': 38.8944757, 'lng'...       509   \n",
       "16 -77.031901  [{'label': 'display', 'lat': 38.89821634225043...       541   \n",
       "17 -77.041489  [{'label': 'display', 'lat': 38.89339447021484...       461   \n",
       "18 -77.031855  [{'label': 'display', 'lat': 38.911013, 'lng':...      1830   \n",
       "19 -77.041830  [{'label': 'display', 'lat': 38.90544466793902...      1250   \n",
       "20 -77.040426  [{'label': 'display', 'lat': 38.89793642354335...       468   \n",
       "21 -77.034720  [{'label': 'display', 'lat': 38.91054501603177...      1739   \n",
       "22 -77.038408  [{'label': 'display', 'lat': 38.90811194293178...      1469   \n",
       "23 -77.034515  [{'label': 'display', 'lat': 38.90119, 'lng': ...       713   \n",
       "24 -77.031351  [{'label': 'display', 'lat': 38.89481196779829...       452   \n",
       "25 -77.046433  [{'label': 'display', 'lat': 38.898057, 'lng':...       920   \n",
       "26 -77.043622  [{'label': 'display', 'lat': 38.89243, 'lng': ...       673   \n",
       "27 -77.038505  [{'label': 'display', 'lat': 38.887973, 'lng':...       798   \n",
       "28 -77.032574  [{'label': 'display', 'lat': 38.91099135322962...      1815   \n",
       "29 -77.038445  [{'label': 'display', 'lat': 38.902122, 'lng':...       810   \n",
       "\n",
       "   postalCode  cc        city state        country  \\\n",
       "0       20024  US  Washington  D.C.  United States   \n",
       "1       20024  US  Washington  D.C.  United States   \n",
       "2       20004  US  Washington  D.C.  United States   \n",
       "3       20005  US  Washington  D.C.  United States   \n",
       "4       20415  US  Washington  D.C.  United States   \n",
       "5       20004  US  Washington  D.C.  United States   \n",
       "6       20009  US  Washington    WA  United States   \n",
       "7       20008  US  Washington  D.C.  United States   \n",
       "8         NaN  US  Washington  D.C.  United States   \n",
       "9       20024  US  Washington  D.C.  United States   \n",
       "10        NaN  US  Washington  D.C.  United States   \n",
       "11      20009  US  Washington  D.C.  United States   \n",
       "12      20005  US  Washington  D.C.  United States   \n",
       "13        NaN  US  Washington  D.C.  United States   \n",
       "14      20036  US  Washington  D.C.  United States   \n",
       "15      20240  US  Washington  D.C.  United States   \n",
       "16      20005  US  Washington  D.C.  United States   \n",
       "17      20240  US  Washington  D.C.  United States   \n",
       "18        NaN  US  Washington  D.C.  United States   \n",
       "19      20036  US  Washington  D.C.  United States   \n",
       "20        NaN  US  Washington  D.C.  United States   \n",
       "21      20005  US  Washington  D.C.  United States   \n",
       "22        NaN  US  Washington  D.C.  United States   \n",
       "23      20571  US  Washington  D.C.  United States   \n",
       "24        NaN  US  Washington  D.C.  United States   \n",
       "25      20052  US  Washington  D.C.  United States   \n",
       "26      20006  US  Washington  D.C.  United States   \n",
       "27      20006  US  Washington  D.C.  United States   \n",
       "28      20009  US  Washington  D.C.  United States   \n",
       "29      20006  US  Washington  D.C.  United States   \n",
       "\n",
       "                                     formattedAddress  \\\n",
       "0   [Ohio Dr., Washington, D.C. 20024, United States]   \n",
       "1   [955 L'Enfant Plaza SW, Washington, D.C. 20024...   \n",
       "2   [1100 Pennsylvania Ave NW, Washington, D.C. 20...   \n",
       "3   [1440 G Street NW, Washington, D.C. 20005, Uni...   \n",
       "4   [1900 E St NW (at 19th St NW), Washington, D.C...   \n",
       "5             [Washington, D.C. 20004, United States]   \n",
       "6   [1810 Florida Ave NW #1, Washington, WA 20009,...   \n",
       "7   [Rock Creek Trail, Washington, D.C. 20008, Uni...   \n",
       "8   [National museum of American History, Washingt...   \n",
       "9   [Jefferson Dr SW (at 12th St SW), Washington, ...   \n",
       "10  [Maryland Ave SW (at Independence Ave SW), Was...   \n",
       "11  [1412 Q St NW, Washington, D.C. 20009, United ...   \n",
       "12  [14th St. (G St.), Washington, D.C. 20005, Uni...   \n",
       "13  [P St NW (at 15th St NW), Washington, D.C., Un...   \n",
       "14            [Washington, D.C. 20036, United States]   \n",
       "15   [C St NW, Washington, D.C. 20240, United States]   \n",
       "16  [14th St NW (at G St NW), Washington, D.C. 200...   \n",
       "17  [203 18th Street Northwest, Washington, D.C. 2...   \n",
       "18  [14th Street, NW, Washington, D.C., United Sta...   \n",
       "19  [18th St NW (at M St NW), Washington, D.C. 200...   \n",
       "20  [G St NW (at 17th St NW), Washington, D.C., Un...   \n",
       "21  [15th St NW, Washington, D.C. 20005, United St...   \n",
       "22  [17th St NW (at Massachusetts Ave NW), Washing...   \n",
       "23            [Washington, D.C. 20571, United States]   \n",
       "24                  [Washington, D.C., United States]   \n",
       "25  [2024 G St NW (at 21st St NW), Washington, D.C...   \n",
       "26  [Constitution Ave NW (19th St), Washington, D....   \n",
       "27  [17th St SW (at Independence Ave SW), Washingt...   \n",
       "28  [1412 Q St NW (btwn 14th & 15th St NW), Washin...   \n",
       "29  [17th St NW (at K St NW), Washington, D.C. 200...   \n",
       "\n",
       "                crossStreet                   neighborhood  \\\n",
       "0                       NaN                            NaN   \n",
       "1                       NaN                            NaN   \n",
       "2                       NaN                            NaN   \n",
       "3                       NaN                            NaN   \n",
       "4             at 19th St NW                            NaN   \n",
       "5                       NaN                            NaN   \n",
       "6                       NaN                            NaN   \n",
       "7                       NaN                            NaN   \n",
       "8                       NaN                            NaN   \n",
       "9             at 12th St SW                            NaN   \n",
       "10   at Independence Ave SW                            NaN   \n",
       "11                      NaN                            NaN   \n",
       "12                    G St.                            NaN   \n",
       "13            at 15th St NW                            NaN   \n",
       "14                      NaN                            NaN   \n",
       "15                      NaN                            NaN   \n",
       "16               at G St NW                            NaN   \n",
       "17                      NaN                            NaN   \n",
       "18                      NaN                            NaN   \n",
       "19               at M St NW                            NaN   \n",
       "20            at 17th St NW                            NaN   \n",
       "21                      NaN                            NaN   \n",
       "22  at Massachusetts Ave NW                            NaN   \n",
       "23                      NaN                            NaN   \n",
       "24                      NaN                            NaN   \n",
       "25            at 21st St NW                            NaN   \n",
       "26                  19th St                            NaN   \n",
       "27   at Independence Ave SW                            NaN   \n",
       "28   btwn 14th & 15th St NW                            NaN   \n",
       "29               at K St NW  Connecticut Avenue - K Street   \n",
       "\n",
       "                          id  \n",
       "0   504f874fe4b06643340e17b5  \n",
       "1   4ae207f4f964a520f78921e3  \n",
       "2   4ff22829e4b013bcfc266bbf  \n",
       "3   5a8ac09047f8767d3767c550  \n",
       "4   4db03c831e729fcc563b77c2  \n",
       "5   53f9f418498e85885794ad1d  \n",
       "6   5d4a838c176e1a00086399bb  \n",
       "7   4bf5176be5eba59318532090  \n",
       "8   4e385791149579ccbaf7003b  \n",
       "9   4f7ae687e4b0794c2ab12818  \n",
       "10  4f557035e4b072b51d4e9f32  \n",
       "11  5e2fc3003d59f800083c61c9  \n",
       "12  4dbb21cefa8cee727328edd1  \n",
       "13  4d9910abb188721eb9393737  \n",
       "14  50b6af0ce4b0c9f8dc0ef389  \n",
       "15  4f706151e4b09e735735bade  \n",
       "16  4d231a615c4ca1cd3005b73d  \n",
       "17  58f6ae669e0d543f78742dfe  \n",
       "18  559063fa498e512b3192a0c5  \n",
       "19  4d7265755838a093b5720adb  \n",
       "20  54353afe498e8abc65804338  \n",
       "21  4fdf7877e4b019d607ff7b9d  \n",
       "22  519e07ad498e5ec85a76e08c  \n",
       "23  5b4fc3fb60d11b002c9008bf  \n",
       "24  4dd16037d22deadedd985a55  \n",
       "25  516e8e34e4b067d5799a6df2  \n",
       "26  4f502bf3e4b057845ad1354b  \n",
       "27  5db72ded9bf6c800089e3216  \n",
       "28  4a5a8304f964a52079ba1fe3  \n",
       "29  5d72beb110403700088d8caa  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# keep only columns that include venue name, and anything that is associated with location\n",
    "filtered_columns = ['name', 'categories'] + [col for col in washington_biketrails.columns if col.startswith('location.')] + ['id']\n",
    "dataframe_filtered = washington_biketrails.loc[:, filtered_columns]\n",
    "\n",
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']\n",
    "\n",
    "# filter the category for each row\n",
    "dataframe_filtered['categories'] = dataframe_filtered.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean column names by keeping only last term\n",
    "dataframe_filtered.columns = [column.split('.')[-1] for column in dataframe_filtered.columns]\n",
    "\n",
    "dataframe_filtered"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get location data for fitness center"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5ef04c29b1cac0001b49e4d3'},\n",
       " 'response': {'venues': [{'id': '4ff87c19e4b0f1c619140693',\n",
       "    'name': 'Fitness Center',\n",
       "    'location': {'address': '800 16th St NW',\n",
       "     'crossStreet': 'at Hay-Adams',\n",
       "     'lat': 38.900516510009766,\n",
       "     'lng': -77.03700256347656,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.900516510009766,\n",
       "       'lng': -77.03700256347656}],\n",
       "     'distance': 616,\n",
       "     'postalCode': '20006',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['800 16th St NW (at Hay-Adams)',\n",
       "      'Washington, D.C. 20006',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d176941735',\n",
       "      'name': 'Gym',\n",
       "      'pluralName': 'Gyms',\n",
       "      'shortName': 'Gym',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592806566',\n",
       "    'hasPerk': False},\n",
       "   {'id': '517d2bdad86c8832970bf497',\n",
       "    'name': 'St. Regis Fitness Center',\n",
       "    'location': {'address': '923 16th St NW',\n",
       "     'lat': 38.90223857843994,\n",
       "     'lng': -77.0360255241394,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.90223857843994,\n",
       "       'lng': -77.0360255241394}],\n",
       "     'distance': 808,\n",
       "     'postalCode': '20006',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['923 16th St NW',\n",
       "      'Washington, D.C. 20006',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d175941735',\n",
       "      'name': 'Gym / Fitness Center',\n",
       "      'pluralName': 'Gyms or Fitness Centers',\n",
       "      'shortName': 'Gym / Fitness',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592806566',\n",
       "    'hasPerk': False},\n",
       "   {'id': '51498783e4b09c775e5aae72',\n",
       "    'name': 'Frankin Square Fitness Center',\n",
       "    'location': {'address': '1300 I Street NW, Washington, DC',\n",
       "     'lat': 38.901308193531044,\n",
       "     'lng': -77.03150891862794,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.901308193531044,\n",
       "       'lng': -77.03150891862794}],\n",
       "     'distance': 829,\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['1300 I Street NW, Washington, DC',\n",
       "      'Washington, D.C.',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d176941735',\n",
       "      'name': 'Gym',\n",
       "      'pluralName': 'Gyms',\n",
       "      'shortName': 'Gym',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592806566',\n",
       "    'hasPerk': False},\n",
       "   {'id': '4c56a988cc96c9b6091a772e',\n",
       "    'name': 'IMF Fitness Center',\n",
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       "       'lng': -77.03794860839844}],\n",
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       "     'postalCode': '20006',\n",
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       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['815 Connecticut Ave NW',\n",
       "      'Washington, D.C. 20006',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d175941735',\n",
       "      'name': 'Gym / Fitness Center',\n",
       "      'pluralName': 'Gyms or Fitness Centers',\n",
       "      'shortName': 'Gym / Fitness',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592806566',\n",
       "    'hasPerk': False},\n",
       "   {'id': '5b7f50d6cf72a00039f195ba',\n",
       "    'name': 'InterContinental Fitness Center',\n",
       "    'location': {'lat': 38.879323,\n",
       "     'lng': -77.024824,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.879323,\n",
       "       'lng': -77.024824}],\n",
       "     'distance': 2018,\n",
       "     'postalCode': '20024',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['Washington, D.C. 20024', 'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d175941735',\n",
       "      'name': 'Gym / Fitness Center',\n",
       "      'pluralName': 'Gyms or Fitness Centers',\n",
       "      'shortName': 'Gym / Fitness',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592806566',\n",
       "    'hasPerk': False},\n",
       "   {'id': '5d3870289bc0e700086b594a',\n",
       "    'name': '1100 New York Fitness Center',\n",
       "    'location': {'address': '1100 New York Ave NW',\n",
       "     'lat': 38.900272369384766,\n",
       "     'lng': -77.0273666381836,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.900272369384766,\n",
       "       'lng': -77.0273666381836}],\n",
       "     'distance': 991,\n",
       "     'postalCode': '20005',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['1100 New York Ave NW',\n",
       "      'Washington, D.C. 20005',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d175941735',\n",
       "      'name': 'Gym / Fitness Center',\n",
       "      'pluralName': 'Gyms or Fitness Centers',\n",
       "      'shortName': 'Gym / Fitness',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592806566',\n",
       "    'hasPerk': False},\n",
       "   {'id': '5061dfb3e4b01a2dad17a971',\n",
       "    'name': 'Department of Interior Fitness Center',\n",
       "    'location': {'address': '1849 C St NW',\n",
       "     'lat': 38.89445114135742,\n",
       "     'lng': -77.0426025390625,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.89445114135742,\n",
       "       'lng': -77.0426025390625}],\n",
       "     'distance': 525,\n",
       "     'postalCode': '20240',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['1849 C St NW',\n",
       "      'Washington, D.C. 20240',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d176941735',\n",
       "      'name': 'Gym',\n",
       "      'pluralName': 'Gyms',\n",
       "      'shortName': 'Gym',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592806566',\n",
       "    'hasPerk': False},\n",
       "   {'id': '57841966498ec71ea8c4e5ac',\n",
       "    'name': 'Fitness Center at 1775 Penn',\n",
       "    'location': {'address': '1775 Pennsylvania Ave NW',\n",
       "     'lat': 38.899926164664215,\n",
       "     'lng': -77.04159125431501,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.899926164664215,\n",
       "       'lng': -77.04159125431501},\n",
       "      {'label': 'entrance', 'lat': 38.899719, 'lng': -77.041428}],\n",
       "     'distance': 701,\n",
       "     'postalCode': '20006',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['1775 Pennsylvania Ave NW',\n",
       "      'Washington, D.C. 20006',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d176941735',\n",
       "      'name': 'Gym',\n",
       "      'pluralName': 'Gyms',\n",
       "      'shortName': 'Gym',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592806566',\n",
       "    'hasPerk': False},\n",
       "   {'id': '51b5e3278bbd9afea9d56cba',\n",
       "    'name': 'Skadden Fitness Center',\n",
       "    'location': {'address': '1420 New York Ave NW',\n",
       "     'crossStreet': '10th Floor',\n",
       "     'lat': 38.89884567260742,\n",
       "     'lng': -77.03284454345703,\n",
       "     'labeledLatLngs': [{'label': 'entrance',\n",
       "       'lat': 38.898861,\n",
       "       'lng': -77.032899},\n",
       "      {'label': 'display',\n",
       "       'lat': 38.89884567260742,\n",
       "       'lng': -77.03284454345703}],\n",
       "     'distance': 537,\n",
       "     'postalCode': '20005',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['1420 New York Ave NW (10th Floor)',\n",
       "      'Washington, D.C. 20005',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d176941735',\n",
       "      'name': 'Gym',\n",
       "      'pluralName': 'Gyms',\n",
       "      'shortName': 'Gym',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592806566',\n",
       "    'hasPerk': False},\n",
       "   {'id': '574dff2f498ebb5c6ea8ee15',\n",
       "    'name': 'Club V Fitness Center',\n",
       "    'location': {'address': '1750 Pennsylvania Ave NW',\n",
       "     'lat': 38.898826599121094,\n",
       "     'lng': -77.04088592529297,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.898826599121094,\n",
       "       'lng': -77.04088592529297}],\n",
       "     'distance': 567,\n",
       "     'postalCode': '20006',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['1750 Pennsylvania Ave NW',\n",
       "      'Washington, D.C. 20006',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d176941735',\n",
       "      'name': 'Gym',\n",
       "      'pluralName': 'Gyms',\n",
       "      'shortName': 'Gym',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592806566',\n",
       "    'hasPerk': False},\n",
       "   {'id': '4df0ce927d8ba370a010c178',\n",
       "    'name': 'Penn Ave Fitness Center',\n",
       "    'location': {'address': '1730 Pennsylvania Ave NW',\n",
       "     'crossStreet': '17th St NW',\n",
       "     'lat': 38.89870834350586,\n",
       "     'lng': -77.0404052734375,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.89870834350586,\n",
       "       'lng': -77.0404052734375}],\n",
       "     'distance': 531,\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['1730 Pennsylvania Ave NW (17th St NW)',\n",
       "      'Washington, D.C.',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d176941735',\n",
       "      'name': 'Gym',\n",
       "      'pluralName': 'Gyms',\n",
       "      'shortName': 'Gym',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592806566',\n",
       "    'hasPerk': False},\n",
       "   {'id': '4f0856aae4b0fcefa86475b2',\n",
       "    'name': 'Four Points Fitness Center',\n",
       "    'location': {'address': '1201 K St NW',\n",
       "     'crossStreet': '12th & K',\n",
       "     'lat': 38.90279769897461,\n",
       "     'lng': -77.02822875976562,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.90279769897461,\n",
       "       'lng': -77.02822875976562}],\n",
       "     'distance': 1130,\n",
       "     'postalCode': '20005',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['1201 K St NW (12th & K)',\n",
       "      'Washington, D.C. 20005',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d176941735',\n",
       "      'name': 'Gym',\n",
       "      'pluralName': 'Gyms',\n",
       "      'shortName': 'Gym',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592806566',\n",
       "    'hasPerk': False},\n",
       "   {'id': '4e1c8115922e7334fe944d8d',\n",
       "    'name': 'American Bar Association Building - Fitness Center',\n",
       "    'location': {'address': '740 15th St NW',\n",
       "     'lat': 38.89968362221768,\n",
       "     'lng': -77.0340085029602,\n",
       "     'labeledLatLngs': [{'label': 'display',\n",
       "       'lat': 38.89968362221768,\n",
       "       'lng': -77.0340085029602},\n",
       "      {'label': 'entrance', 'lat': 38.899855, 'lng': -77.033819}],\n",
       "     'distance': 568,\n",
       "     'postalCode': '20005',\n",
       "     'cc': 'US',\n",
       "     'city': 'Washington',\n",
       "     'state': 'D.C.',\n",
       "     'country': 'United States',\n",
       "     'formattedAddress': ['740 15th St NW',\n",
       "      'Washington, D.C. 20005',\n",
       "      'United States']},\n",
       "    'categories': [{'id': '4bf58dd8d48988d176941735',\n",
       "      'name': 'Gym',\n",
       "      'pluralName': 'Gyms',\n",
       "      'shortName': 'Gym',\n",
       "      'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "       'suffix': '.png'},\n",
       "      'primary': True}],\n",
       "    'referralId': 'v-1592806566',\n",
       "    'hasPerk': False}]}}"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results2 = requests.get(url2).json()\n",
    "results2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>referralId</th>\n",
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       "      <th>location.formattedAddress</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4ff87c19e4b0f1c619140693</td>\n",
       "      <td>Fitness Center</td>\n",
       "      <td>[{'id': '4bf58dd8d48988d176941735', 'name': 'G...</td>\n",
       "      <td>v-1592806566</td>\n",
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       "      <td>800 16th St NW</td>\n",
       "      <td>at Hay-Adams</td>\n",
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       "      <td>-77.037003</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90051651000976...</td>\n",
       "      <td>616</td>\n",
       "      <td>20006</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[800 16th St NW (at Hay-Adams), Washington, D....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>517d2bdad86c8832970bf497</td>\n",
       "      <td>St. Regis Fitness Center</td>\n",
       "      <td>[{'id': '4bf58dd8d48988d175941735', 'name': 'G...</td>\n",
       "      <td>v-1592806566</td>\n",
       "      <td>False</td>\n",
       "      <td>923 16th St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.902239</td>\n",
       "      <td>-77.036026</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90223857843994...</td>\n",
       "      <td>808</td>\n",
       "      <td>20006</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[923 16th St NW, Washington, D.C. 20006, Unite...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>51498783e4b09c775e5aae72</td>\n",
       "      <td>Frankin Square Fitness Center</td>\n",
       "      <td>[{'id': '4bf58dd8d48988d176941735', 'name': 'G...</td>\n",
       "      <td>v-1592806566</td>\n",
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       "      <td>1300 I Street NW, Washington, DC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.901308</td>\n",
       "      <td>-77.031509</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90130819353104...</td>\n",
       "      <td>829</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1300 I Street NW, Washington, DC, Washington,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4c56a988cc96c9b6091a772e</td>\n",
       "      <td>IMF Fitness Center</td>\n",
       "      <td>[{'id': '4bf58dd8d48988d175941735', 'name': 'G...</td>\n",
       "      <td>v-1592806566</td>\n",
       "      <td>False</td>\n",
       "      <td>700 19th St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.899290</td>\n",
       "      <td>-77.044050</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89928970531802...</td>\n",
       "      <td>805</td>\n",
       "      <td>20431</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[700 19th St NW, Washington, D.C. 20431, Unite...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4d7ff460e6d7721e67860fc7</td>\n",
       "      <td>One to One Fitness Center</td>\n",
       "      <td>[{'id': '4bf58dd8d48988d176941735', 'name': 'G...</td>\n",
       "      <td>v-1592806566</td>\n",
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       "      <td>1750 K St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.902139</td>\n",
       "      <td>-77.040775</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.902139, 'lng':...</td>\n",
       "      <td>875</td>\n",
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       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1750 K St NW, Washington, D.C. 20006, United ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         id                           name  \\\n",
       "0  4ff87c19e4b0f1c619140693                 Fitness Center   \n",
       "1  517d2bdad86c8832970bf497       St. Regis Fitness Center   \n",
       "2  51498783e4b09c775e5aae72  Frankin Square Fitness Center   \n",
       "3  4c56a988cc96c9b6091a772e             IMF Fitness Center   \n",
       "4  4d7ff460e6d7721e67860fc7      One to One Fitness Center   \n",
       "\n",
       "                                          categories    referralId  hasPerk  \\\n",
       "0  [{'id': '4bf58dd8d48988d176941735', 'name': 'G...  v-1592806566    False   \n",
       "1  [{'id': '4bf58dd8d48988d175941735', 'name': 'G...  v-1592806566    False   \n",
       "2  [{'id': '4bf58dd8d48988d176941735', 'name': 'G...  v-1592806566    False   \n",
       "3  [{'id': '4bf58dd8d48988d175941735', 'name': 'G...  v-1592806566    False   \n",
       "4  [{'id': '4bf58dd8d48988d176941735', 'name': 'G...  v-1592806566    False   \n",
       "\n",
       "                   location.address location.crossStreet  location.lat  \\\n",
       "0                    800 16th St NW         at Hay-Adams     38.900517   \n",
       "1                    923 16th St NW                  NaN     38.902239   \n",
       "2  1300 I Street NW, Washington, DC                  NaN     38.901308   \n",
       "3                    700 19th St NW                  NaN     38.899290   \n",
       "4                      1750 K St NW                  NaN     38.902139   \n",
       "\n",
       "   location.lng                            location.labeledLatLngs  \\\n",
       "0    -77.037003  [{'label': 'display', 'lat': 38.90051651000976...   \n",
       "1    -77.036026  [{'label': 'display', 'lat': 38.90223857843994...   \n",
       "2    -77.031509  [{'label': 'display', 'lat': 38.90130819353104...   \n",
       "3    -77.044050  [{'label': 'display', 'lat': 38.89928970531802...   \n",
       "4    -77.040775  [{'label': 'display', 'lat': 38.902139, 'lng':...   \n",
       "\n",
       "   location.distance location.postalCode location.cc location.city  \\\n",
       "0                616               20006          US    Washington   \n",
       "1                808               20006          US    Washington   \n",
       "2                829                 NaN          US    Washington   \n",
       "3                805               20431          US    Washington   \n",
       "4                875               20006          US    Washington   \n",
       "\n",
       "  location.state location.country  \\\n",
       "0           D.C.    United States   \n",
       "1           D.C.    United States   \n",
       "2           D.C.    United States   \n",
       "3           D.C.    United States   \n",
       "4           D.C.    United States   \n",
       "\n",
       "                           location.formattedAddress  \n",
       "0  [800 16th St NW (at Hay-Adams), Washington, D....  \n",
       "1  [923 16th St NW, Washington, D.C. 20006, Unite...  \n",
       "2  [1300 I Street NW, Washington, DC, Washington,...  \n",
       "3  [700 19th St NW, Washington, D.C. 20431, Unite...  \n",
       "4  [1750 K St NW, Washington, D.C. 20006, United ...  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# assign relevant part of JSON to venues\n",
    "venues2 = results2['response']['venues']\n",
    "\n",
    "# tranform venues into a dataframe\n",
    "washington_fitness = pd.json_normalize(venues2)\n",
    "washington_fitness.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>address</th>\n",
       "      <th>crossStreet</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>labeledLatLngs</th>\n",
       "      <th>distance</th>\n",
       "      <th>postalCode</th>\n",
       "      <th>cc</th>\n",
       "      <th>city</th>\n",
       "      <th>state</th>\n",
       "      <th>country</th>\n",
       "      <th>formattedAddress</th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Fitness Center</td>\n",
       "      <td>Gym</td>\n",
       "      <td>800 16th St NW</td>\n",
       "      <td>at Hay-Adams</td>\n",
       "      <td>38.900517</td>\n",
       "      <td>-77.037003</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90051651000976...</td>\n",
       "      <td>616</td>\n",
       "      <td>20006</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[800 16th St NW (at Hay-Adams), Washington, D....</td>\n",
       "      <td>4ff87c19e4b0f1c619140693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>St. Regis Fitness Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>923 16th St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.902239</td>\n",
       "      <td>-77.036026</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90223857843994...</td>\n",
       "      <td>808</td>\n",
       "      <td>20006</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[923 16th St NW, Washington, D.C. 20006, Unite...</td>\n",
       "      <td>517d2bdad86c8832970bf497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Frankin Square Fitness Center</td>\n",
       "      <td>Gym</td>\n",
       "      <td>1300 I Street NW, Washington, DC</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.901308</td>\n",
       "      <td>-77.031509</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90130819353104...</td>\n",
       "      <td>829</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1300 I Street NW, Washington, DC, Washington,...</td>\n",
       "      <td>51498783e4b09c775e5aae72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>IMF Fitness Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>700 19th St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.899290</td>\n",
       "      <td>-77.044050</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89928970531802...</td>\n",
       "      <td>805</td>\n",
       "      <td>20431</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[700 19th St NW, Washington, D.C. 20431, Unite...</td>\n",
       "      <td>4c56a988cc96c9b6091a772e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>One to One Fitness Center</td>\n",
       "      <td>Gym</td>\n",
       "      <td>1750 K St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.902139</td>\n",
       "      <td>-77.040775</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.902139, 'lng':...</td>\n",
       "      <td>875</td>\n",
       "      <td>20006</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1750 K St NW, Washington, D.C. 20006, United ...</td>\n",
       "      <td>4d7ff460e6d7721e67860fc7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Fitness Center @ 1110 Vermont</td>\n",
       "      <td>Gym</td>\n",
       "      <td>1110 Vermont Ave NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.904339</td>\n",
       "      <td>-77.033279</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90433883666992...</td>\n",
       "      <td>1079</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1110 Vermont Ave NW, Washington, D.C. 20005, ...</td>\n",
       "      <td>51cdfccf498ec004bb286d35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Hamilton Fitness Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.903070</td>\n",
       "      <td>-77.032687</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90307, 'lng': ...</td>\n",
       "      <td>960</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[Washington, D.C. 20005, United States]</td>\n",
       "      <td>5c5037778a4cf50039d1d983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Metropolitan Square Fitness Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.897549</td>\n",
       "      <td>-77.033307</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.897549, 'lng':...</td>\n",
       "      <td>401</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[Washington, D.C. 20005, United States]</td>\n",
       "      <td>5c1b8726cbcdee002cc6ce6e</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Franklin Tower Fitness Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>1200 K St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.902132</td>\n",
       "      <td>-77.028647</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.902132, 'lng':...</td>\n",
       "      <td>1050</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1200 K St NW, Washington, D.C. 20005, United ...</td>\n",
       "      <td>4e8b20bbb63423c020fdf971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1899 L Street Fitness Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>1828 L St NW</td>\n",
       "      <td>at 19th</td>\n",
       "      <td>38.903423</td>\n",
       "      <td>-77.042923</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90342330932617...</td>\n",
       "      <td>1088</td>\n",
       "      <td>20036</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1828 L St NW (at 19th), Washington, D.C. 2003...</td>\n",
       "      <td>4eaaf31ce5fa45480dde8467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Mezzanotte Fitness Center</td>\n",
       "      <td>Gym</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.904785</td>\n",
       "      <td>-77.035989</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90478529503131...</td>\n",
       "      <td>1092</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[Washington, D.C. 20005, United States]</td>\n",
       "      <td>500e87c7e4b03e88136d0aa6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>The Mayflower Fitness Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.904820</td>\n",
       "      <td>-77.038953</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90481977966528...</td>\n",
       "      <td>1114</td>\n",
       "      <td>20036</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[Washington, D.C. 20036, United States]</td>\n",
       "      <td>5020fe37e4b025265f1db3a5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Hampton Inn Fitness Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.900048</td>\n",
       "      <td>-77.041285</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.900048, 'lng':...</td>\n",
       "      <td>695</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[Washington, D.C., United States]</td>\n",
       "      <td>53b55f6b498ee296db49ef49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Venable LLP Fitness Center</td>\n",
       "      <td>Gym</td>\n",
       "      <td>575 7th St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.896513</td>\n",
       "      <td>-77.020675</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.896513, 'lng':...</td>\n",
       "      <td>1387</td>\n",
       "      <td>20004</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[575 7th St NW, Washington, D.C. 20004, United...</td>\n",
       "      <td>4c23c0e2a852c9284b03e26c</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>IRS Fitness Center</td>\n",
       "      <td>Gym</td>\n",
       "      <td>1401-1499 Pennsylvania Ave NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.895572</td>\n",
       "      <td>-77.033277</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89557151666666...</td>\n",
       "      <td>292</td>\n",
       "      <td>20004</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1401-1499 Pennsylvania Ave NW, Washington, D....</td>\n",
       "      <td>4d754fc89a296ea82d1f61a9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>The Darcy Fitness Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>1515 Rhode Island Ave NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.907758</td>\n",
       "      <td>-77.035518</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.907758, 'lng':...</td>\n",
       "      <td>1424</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1515 Rhode Island Ave NW, Washington, D.C. 20...</td>\n",
       "      <td>59683d4a31fd14352fc5d3c0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>The Wink Fitness Center</td>\n",
       "      <td>Gym</td>\n",
       "      <td>1143 New Hampshire Ave NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.904750</td>\n",
       "      <td>-77.047470</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90475, 'lng': ...</td>\n",
       "      <td>1439</td>\n",
       "      <td>20037</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1143 New Hampshire Ave NW, Washington, D.C. 2...</td>\n",
       "      <td>5ae094471acf114d38475562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Holiday Inn Fitness Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>1501 Rhode Island Ave NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.908212</td>\n",
       "      <td>-77.034815</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.908212, 'lng':...</td>\n",
       "      <td>1480</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1501 Rhode Island Ave NW, Washington, D.C. 20...</td>\n",
       "      <td>5af035a8345cbe002caa237b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Treasury Fitness Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>1500 Pennsylvania Avenue, NW</td>\n",
       "      <td>Pennsylvania Avenue &amp; 15th Street NW</td>\n",
       "      <td>38.897694</td>\n",
       "      <td>-77.034386</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.8976936340332,...</td>\n",
       "      <td>355</td>\n",
       "      <td>20015</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1500 Pennsylvania Avenue, NW (Pennsylvania Av...</td>\n",
       "      <td>52cc40ac498e9ec88e6fa1b8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1616 P Street Fitness Center</td>\n",
       "      <td>Gym</td>\n",
       "      <td>1616 P St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.909222</td>\n",
       "      <td>-77.037613</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90922164916992...</td>\n",
       "      <td>1587</td>\n",
       "      <td>20036</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1616 P St NW, Washington, D.C. 20036, United ...</td>\n",
       "      <td>4c578255a7d976b0e9cbdcee</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Fitness Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>815 Connecticut Ave NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.900993</td>\n",
       "      <td>-77.037949</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90099334716797...</td>\n",
       "      <td>679</td>\n",
       "      <td>20006</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[815 Connecticut Ave NW, Washington, D.C. 2000...</td>\n",
       "      <td>51097bade4b001b56cc87dc9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>InterContinental Fitness Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.879323</td>\n",
       "      <td>-77.024824</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.879323, 'lng':...</td>\n",
       "      <td>2018</td>\n",
       "      <td>20024</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[Washington, D.C. 20024, United States]</td>\n",
       "      <td>5b7f50d6cf72a00039f195ba</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1100 New York Fitness Center</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>1100 New York Ave NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.900272</td>\n",
       "      <td>-77.027367</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90027236938476...</td>\n",
       "      <td>991</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1100 New York Ave NW, Washington, D.C. 20005,...</td>\n",
       "      <td>5d3870289bc0e700086b594a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Department of Interior Fitness Center</td>\n",
       "      <td>Gym</td>\n",
       "      <td>1849 C St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.894451</td>\n",
       "      <td>-77.042603</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89445114135742...</td>\n",
       "      <td>525</td>\n",
       "      <td>20240</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1849 C St NW, Washington, D.C. 20240, United ...</td>\n",
       "      <td>5061dfb3e4b01a2dad17a971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Fitness Center at 1775 Penn</td>\n",
       "      <td>Gym</td>\n",
       "      <td>1775 Pennsylvania Ave NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.899926</td>\n",
       "      <td>-77.041591</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89992616466421...</td>\n",
       "      <td>701</td>\n",
       "      <td>20006</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1775 Pennsylvania Ave NW, Washington, D.C. 20...</td>\n",
       "      <td>57841966498ec71ea8c4e5ac</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Skadden Fitness Center</td>\n",
       "      <td>Gym</td>\n",
       "      <td>1420 New York Ave NW</td>\n",
       "      <td>10th Floor</td>\n",
       "      <td>38.898846</td>\n",
       "      <td>-77.032845</td>\n",
       "      <td>[{'label': 'entrance', 'lat': 38.898861, 'lng'...</td>\n",
       "      <td>537</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1420 New York Ave NW (10th Floor), Washington...</td>\n",
       "      <td>51b5e3278bbd9afea9d56cba</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Club V Fitness Center</td>\n",
       "      <td>Gym</td>\n",
       "      <td>1750 Pennsylvania Ave NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.898827</td>\n",
       "      <td>-77.040886</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89882659912109...</td>\n",
       "      <td>567</td>\n",
       "      <td>20006</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1750 Pennsylvania Ave NW, Washington, D.C. 20...</td>\n",
       "      <td>574dff2f498ebb5c6ea8ee15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Penn Ave Fitness Center</td>\n",
       "      <td>Gym</td>\n",
       "      <td>1730 Pennsylvania Ave NW</td>\n",
       "      <td>17th St NW</td>\n",
       "      <td>38.898708</td>\n",
       "      <td>-77.040405</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89870834350586...</td>\n",
       "      <td>531</td>\n",
       "      <td>NaN</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1730 Pennsylvania Ave NW (17th St NW), Washin...</td>\n",
       "      <td>4df0ce927d8ba370a010c178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Four Points Fitness Center</td>\n",
       "      <td>Gym</td>\n",
       "      <td>1201 K St NW</td>\n",
       "      <td>12th &amp; K</td>\n",
       "      <td>38.902798</td>\n",
       "      <td>-77.028229</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.90279769897461...</td>\n",
       "      <td>1130</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[1201 K St NW (12th &amp; K), Washington, D.C. 200...</td>\n",
       "      <td>4f0856aae4b0fcefa86475b2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>American Bar Association Building - Fitness Ce...</td>\n",
       "      <td>Gym</td>\n",
       "      <td>740 15th St NW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38.899684</td>\n",
       "      <td>-77.034009</td>\n",
       "      <td>[{'label': 'display', 'lat': 38.89968362221768...</td>\n",
       "      <td>568</td>\n",
       "      <td>20005</td>\n",
       "      <td>US</td>\n",
       "      <td>Washington</td>\n",
       "      <td>D.C.</td>\n",
       "      <td>United States</td>\n",
       "      <td>[740 15th St NW, Washington, D.C. 20005, Unite...</td>\n",
       "      <td>4e1c8115922e7334fe944d8d</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 name            categories  \\\n",
       "0                                      Fitness Center                   Gym   \n",
       "1                            St. Regis Fitness Center  Gym / Fitness Center   \n",
       "2                       Frankin Square Fitness Center                   Gym   \n",
       "3                                  IMF Fitness Center  Gym / Fitness Center   \n",
       "4                           One to One Fitness Center                   Gym   \n",
       "5                       Fitness Center @ 1110 Vermont                   Gym   \n",
       "6                             Hamilton Fitness Center  Gym / Fitness Center   \n",
       "7                  Metropolitan Square Fitness Center  Gym / Fitness Center   \n",
       "8                       Franklin Tower Fitness Center  Gym / Fitness Center   \n",
       "9                        1899 L Street Fitness Center  Gym / Fitness Center   \n",
       "10                          Mezzanotte Fitness Center                   Gym   \n",
       "11                       The Mayflower Fitness Center  Gym / Fitness Center   \n",
       "12                         Hampton Inn Fitness Center  Gym / Fitness Center   \n",
       "13                         Venable LLP Fitness Center                   Gym   \n",
       "14                                 IRS Fitness Center                   Gym   \n",
       "15                           The Darcy Fitness Center  Gym / Fitness Center   \n",
       "16                            The Wink Fitness Center                   Gym   \n",
       "17                         Holiday Inn Fitness Center  Gym / Fitness Center   \n",
       "18                            Treasury Fitness Center  Gym / Fitness Center   \n",
       "19                       1616 P Street Fitness Center                   Gym   \n",
       "20                                     Fitness Center  Gym / Fitness Center   \n",
       "21                    InterContinental Fitness Center  Gym / Fitness Center   \n",
       "22                       1100 New York Fitness Center  Gym / Fitness Center   \n",
       "23              Department of Interior Fitness Center                   Gym   \n",
       "24                        Fitness Center at 1775 Penn                   Gym   \n",
       "25                             Skadden Fitness Center                   Gym   \n",
       "26                              Club V Fitness Center                   Gym   \n",
       "27                            Penn Ave Fitness Center                   Gym   \n",
       "28                         Four Points Fitness Center                   Gym   \n",
       "29  American Bar Association Building - Fitness Ce...                   Gym   \n",
       "\n",
       "                             address                           crossStreet  \\\n",
       "0                     800 16th St NW                          at Hay-Adams   \n",
       "1                     923 16th St NW                                   NaN   \n",
       "2   1300 I Street NW, Washington, DC                                   NaN   \n",
       "3                     700 19th St NW                                   NaN   \n",
       "4                       1750 K St NW                                   NaN   \n",
       "5                1110 Vermont Ave NW                                   NaN   \n",
       "6                                NaN                                   NaN   \n",
       "7                                NaN                                   NaN   \n",
       "8                       1200 K St NW                                   NaN   \n",
       "9                       1828 L St NW                               at 19th   \n",
       "10                               NaN                                   NaN   \n",
       "11                               NaN                                   NaN   \n",
       "12                               NaN                                   NaN   \n",
       "13                     575 7th St NW                                   NaN   \n",
       "14     1401-1499 Pennsylvania Ave NW                                   NaN   \n",
       "15          1515 Rhode Island Ave NW                                   NaN   \n",
       "16         1143 New Hampshire Ave NW                                   NaN   \n",
       "17          1501 Rhode Island Ave NW                                   NaN   \n",
       "18      1500 Pennsylvania Avenue, NW  Pennsylvania Avenue & 15th Street NW   \n",
       "19                      1616 P St NW                                   NaN   \n",
       "20            815 Connecticut Ave NW                                   NaN   \n",
       "21                               NaN                                   NaN   \n",
       "22              1100 New York Ave NW                                   NaN   \n",
       "23                      1849 C St NW                                   NaN   \n",
       "24          1775 Pennsylvania Ave NW                                   NaN   \n",
       "25              1420 New York Ave NW                            10th Floor   \n",
       "26          1750 Pennsylvania Ave NW                                   NaN   \n",
       "27          1730 Pennsylvania Ave NW                            17th St NW   \n",
       "28                      1201 K St NW                              12th & K   \n",
       "29                    740 15th St NW                                   NaN   \n",
       "\n",
       "          lat        lng                                     labeledLatLngs  \\\n",
       "0   38.900517 -77.037003  [{'label': 'display', 'lat': 38.90051651000976...   \n",
       "1   38.902239 -77.036026  [{'label': 'display', 'lat': 38.90223857843994...   \n",
       "2   38.901308 -77.031509  [{'label': 'display', 'lat': 38.90130819353104...   \n",
       "3   38.899290 -77.044050  [{'label': 'display', 'lat': 38.89928970531802...   \n",
       "4   38.902139 -77.040775  [{'label': 'display', 'lat': 38.902139, 'lng':...   \n",
       "5   38.904339 -77.033279  [{'label': 'display', 'lat': 38.90433883666992...   \n",
       "6   38.903070 -77.032687  [{'label': 'display', 'lat': 38.90307, 'lng': ...   \n",
       "7   38.897549 -77.033307  [{'label': 'display', 'lat': 38.897549, 'lng':...   \n",
       "8   38.902132 -77.028647  [{'label': 'display', 'lat': 38.902132, 'lng':...   \n",
       "9   38.903423 -77.042923  [{'label': 'display', 'lat': 38.90342330932617...   \n",
       "10  38.904785 -77.035989  [{'label': 'display', 'lat': 38.90478529503131...   \n",
       "11  38.904820 -77.038953  [{'label': 'display', 'lat': 38.90481977966528...   \n",
       "12  38.900048 -77.041285  [{'label': 'display', 'lat': 38.900048, 'lng':...   \n",
       "13  38.896513 -77.020675  [{'label': 'display', 'lat': 38.896513, 'lng':...   \n",
       "14  38.895572 -77.033277  [{'label': 'display', 'lat': 38.89557151666666...   \n",
       "15  38.907758 -77.035518  [{'label': 'display', 'lat': 38.907758, 'lng':...   \n",
       "16  38.904750 -77.047470  [{'label': 'display', 'lat': 38.90475, 'lng': ...   \n",
       "17  38.908212 -77.034815  [{'label': 'display', 'lat': 38.908212, 'lng':...   \n",
       "18  38.897694 -77.034386  [{'label': 'display', 'lat': 38.8976936340332,...   \n",
       "19  38.909222 -77.037613  [{'label': 'display', 'lat': 38.90922164916992...   \n",
       "20  38.900993 -77.037949  [{'label': 'display', 'lat': 38.90099334716797...   \n",
       "21  38.879323 -77.024824  [{'label': 'display', 'lat': 38.879323, 'lng':...   \n",
       "22  38.900272 -77.027367  [{'label': 'display', 'lat': 38.90027236938476...   \n",
       "23  38.894451 -77.042603  [{'label': 'display', 'lat': 38.89445114135742...   \n",
       "24  38.899926 -77.041591  [{'label': 'display', 'lat': 38.89992616466421...   \n",
       "25  38.898846 -77.032845  [{'label': 'entrance', 'lat': 38.898861, 'lng'...   \n",
       "26  38.898827 -77.040886  [{'label': 'display', 'lat': 38.89882659912109...   \n",
       "27  38.898708 -77.040405  [{'label': 'display', 'lat': 38.89870834350586...   \n",
       "28  38.902798 -77.028229  [{'label': 'display', 'lat': 38.90279769897461...   \n",
       "29  38.899684 -77.034009  [{'label': 'display', 'lat': 38.89968362221768...   \n",
       "\n",
       "    distance postalCode  cc        city state        country  \\\n",
       "0        616      20006  US  Washington  D.C.  United States   \n",
       "1        808      20006  US  Washington  D.C.  United States   \n",
       "2        829        NaN  US  Washington  D.C.  United States   \n",
       "3        805      20431  US  Washington  D.C.  United States   \n",
       "4        875      20006  US  Washington  D.C.  United States   \n",
       "5       1079      20005  US  Washington  D.C.  United States   \n",
       "6        960      20005  US  Washington  D.C.  United States   \n",
       "7        401      20005  US  Washington  D.C.  United States   \n",
       "8       1050      20005  US  Washington  D.C.  United States   \n",
       "9       1088      20036  US  Washington  D.C.  United States   \n",
       "10      1092      20005  US  Washington  D.C.  United States   \n",
       "11      1114      20036  US  Washington  D.C.  United States   \n",
       "12       695        NaN  US  Washington  D.C.  United States   \n",
       "13      1387      20004  US  Washington  D.C.  United States   \n",
       "14       292      20004  US  Washington  D.C.  United States   \n",
       "15      1424      20005  US  Washington  D.C.  United States   \n",
       "16      1439      20037  US  Washington  D.C.  United States   \n",
       "17      1480      20005  US  Washington  D.C.  United States   \n",
       "18       355      20015  US  Washington  D.C.  United States   \n",
       "19      1587      20036  US  Washington  D.C.  United States   \n",
       "20       679      20006  US  Washington  D.C.  United States   \n",
       "21      2018      20024  US  Washington  D.C.  United States   \n",
       "22       991      20005  US  Washington  D.C.  United States   \n",
       "23       525      20240  US  Washington  D.C.  United States   \n",
       "24       701      20006  US  Washington  D.C.  United States   \n",
       "25       537      20005  US  Washington  D.C.  United States   \n",
       "26       567      20006  US  Washington  D.C.  United States   \n",
       "27       531        NaN  US  Washington  D.C.  United States   \n",
       "28      1130      20005  US  Washington  D.C.  United States   \n",
       "29       568      20005  US  Washington  D.C.  United States   \n",
       "\n",
       "                                     formattedAddress  \\\n",
       "0   [800 16th St NW (at Hay-Adams), Washington, D....   \n",
       "1   [923 16th St NW, Washington, D.C. 20006, Unite...   \n",
       "2   [1300 I Street NW, Washington, DC, Washington,...   \n",
       "3   [700 19th St NW, Washington, D.C. 20431, Unite...   \n",
       "4   [1750 K St NW, Washington, D.C. 20006, United ...   \n",
       "5   [1110 Vermont Ave NW, Washington, D.C. 20005, ...   \n",
       "6             [Washington, D.C. 20005, United States]   \n",
       "7             [Washington, D.C. 20005, United States]   \n",
       "8   [1200 K St NW, Washington, D.C. 20005, United ...   \n",
       "9   [1828 L St NW (at 19th), Washington, D.C. 2003...   \n",
       "10            [Washington, D.C. 20005, United States]   \n",
       "11            [Washington, D.C. 20036, United States]   \n",
       "12                  [Washington, D.C., United States]   \n",
       "13  [575 7th St NW, Washington, D.C. 20004, United...   \n",
       "14  [1401-1499 Pennsylvania Ave NW, Washington, D....   \n",
       "15  [1515 Rhode Island Ave NW, Washington, D.C. 20...   \n",
       "16  [1143 New Hampshire Ave NW, Washington, D.C. 2...   \n",
       "17  [1501 Rhode Island Ave NW, Washington, D.C. 20...   \n",
       "18  [1500 Pennsylvania Avenue, NW (Pennsylvania Av...   \n",
       "19  [1616 P St NW, Washington, D.C. 20036, United ...   \n",
       "20  [815 Connecticut Ave NW, Washington, D.C. 2000...   \n",
       "21            [Washington, D.C. 20024, United States]   \n",
       "22  [1100 New York Ave NW, Washington, D.C. 20005,...   \n",
       "23  [1849 C St NW, Washington, D.C. 20240, United ...   \n",
       "24  [1775 Pennsylvania Ave NW, Washington, D.C. 20...   \n",
       "25  [1420 New York Ave NW (10th Floor), Washington...   \n",
       "26  [1750 Pennsylvania Ave NW, Washington, D.C. 20...   \n",
       "27  [1730 Pennsylvania Ave NW (17th St NW), Washin...   \n",
       "28  [1201 K St NW (12th & K), Washington, D.C. 200...   \n",
       "29  [740 15th St NW, Washington, D.C. 20005, Unite...   \n",
       "\n",
       "                          id  \n",
       "0   4ff87c19e4b0f1c619140693  \n",
       "1   517d2bdad86c8832970bf497  \n",
       "2   51498783e4b09c775e5aae72  \n",
       "3   4c56a988cc96c9b6091a772e  \n",
       "4   4d7ff460e6d7721e67860fc7  \n",
       "5   51cdfccf498ec004bb286d35  \n",
       "6   5c5037778a4cf50039d1d983  \n",
       "7   5c1b8726cbcdee002cc6ce6e  \n",
       "8   4e8b20bbb63423c020fdf971  \n",
       "9   4eaaf31ce5fa45480dde8467  \n",
       "10  500e87c7e4b03e88136d0aa6  \n",
       "11  5020fe37e4b025265f1db3a5  \n",
       "12  53b55f6b498ee296db49ef49  \n",
       "13  4c23c0e2a852c9284b03e26c  \n",
       "14  4d754fc89a296ea82d1f61a9  \n",
       "15  59683d4a31fd14352fc5d3c0  \n",
       "16  5ae094471acf114d38475562  \n",
       "17  5af035a8345cbe002caa237b  \n",
       "18  52cc40ac498e9ec88e6fa1b8  \n",
       "19  4c578255a7d976b0e9cbdcee  \n",
       "20  51097bade4b001b56cc87dc9  \n",
       "21  5b7f50d6cf72a00039f195ba  \n",
       "22  5d3870289bc0e700086b594a  \n",
       "23  5061dfb3e4b01a2dad17a971  \n",
       "24  57841966498ec71ea8c4e5ac  \n",
       "25  51b5e3278bbd9afea9d56cba  \n",
       "26  574dff2f498ebb5c6ea8ee15  \n",
       "27  4df0ce927d8ba370a010c178  \n",
       "28  4f0856aae4b0fcefa86475b2  \n",
       "29  4e1c8115922e7334fe944d8d  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# keep only columns that include venue name, and anything that is associated with location\n",
    "filtered_columns2 = ['name', 'categories'] + [col for col in washington_fitness.columns if col.startswith('location.')] + ['id']\n",
    "dataframe_filtered2 = washington_fitness.loc[:, filtered_columns2]\n",
    "\n",
    "\n",
    "# filter the category for each row\n",
    "dataframe_filtered2['categories'] = dataframe_filtered2.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean column names by keeping only last term\n",
    "dataframe_filtered2.columns = [column.split('.')[-1] for column in dataframe_filtered2.columns]\n",
    "\n",
    "dataframe_filtered2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create Map of Washington, DC with sample data of bike trails and fitness centers in the area. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "<folium.folium.Map at 0x12b9dde6148>"
      ]
     },
     "execution_count": 27,
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   ],
   "source": [
    "washington_biketrails_map = folium.Map(location=[latitude, longitude], zoom_start=13) # generate map for bike trails in Washington.DC\n",
    "\n",
    "# add a red circle marker to represent Washington, DC\n",
    "folium.features.CircleMarker(\n",
    "    [latitude, longitude],\n",
    "    radius=10,\n",
    "    color='red',\n",
    "    popup='Washington',\n",
    "    fill = True,\n",
    "    fill_color = 'red',\n",
    "    fill_opacity = 0.6\n",
    ").add_to(washington_biketrails_map)\n",
    "\n",
    "# add the Bike Trails as blue circle markers\n",
    "for lat, lng, label in zip(dataframe_filtered.lat, dataframe_filtered.lng, dataframe_filtered.categories):\n",
    "    folium.features.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        color='blue',\n",
    "        popup=label,\n",
    "        fill = True,\n",
    "        fill_color='blue',\n",
    "        fill_opacity=0.6\n",
    "    ).add_to(washington_biketrails_map)\n",
    "    \n",
    "# add the Fitness Centers as green circle markers\n",
    "for lat, lng, label in zip(dataframe_filtered2.lat, dataframe_filtered2.lng, dataframe_filtered2.categories):\n",
    "    folium.features.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        color='green',\n",
    "        popup=label,\n",
    "        fill = True,\n",
    "        fill_color='green',\n",
    "        fill_opacity=0.6\n",
    "    ).add_to(washington_biketrails_map)\n",
    "    \n",
    "# display map\n",
    "washington_biketrails_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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