chewy_data_cleaning.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "371fcb77",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "import pandas as pd\n",
    "from geopy.geocoders import Nominatim\n",
    "import numpy as np\n",
    "import ast\n",
    "from json import loads, dumps\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.metrics import roc_auc_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4694aa57",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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>clinic_name</th>\n",
       "      <th>address1</th>\n",
       "      <th>adress2</th>\n",
       "      <th>state</th>\n",
       "      <th>city</th>\n",
       "      <th>zip</th>\n",
       "      <th>phone</th>\n",
       "      <th>practiceHub</th>\n",
       "      <th>televet_services</th>\n",
       "      <th>accepts_insurance</th>\n",
       "      <th>emergency_services</th>\n",
       "      <th>specialities</th>\n",
       "      <th>categories</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MASSACHUSETTS VET MEDICAL ASSN</td>\n",
       "      <td>163 LAKESIDE AVE</td>\n",
       "      <td>CHARITIES INC</td>\n",
       "      <td>MA</td>\n",
       "      <td>MARLBOROUGH</td>\n",
       "      <td>01752</td>\n",
       "      <td>5084609333</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>[Food Animal, Swine]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>QUINCY ANIMAL SHELTER</td>\n",
       "      <td>43 THOMAS BURGIN PKWY</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>QUINCY</td>\n",
       "      <td>02169-4209</td>\n",
       "      <td>6174793080</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Countryside Animal Hospital - Granby</td>\n",
       "      <td>164 W STATE ST</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>GRANBY</td>\n",
       "      <td>01033-9606</td>\n",
       "      <td>4134671300</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>[Nutrition, Oncology]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AGAWAM ANIMAL HOSPITAL</td>\n",
       "      <td>65 MILL ST</td>\n",
       "      <td>STE 1</td>\n",
       "      <td>MA</td>\n",
       "      <td>AGAWAM</td>\n",
       "      <td>01001-2393</td>\n",
       "      <td>4137864440</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>[Nutrition, Oncology]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SKIPTON VET CLINIC</td>\n",
       "      <td>70 SOUTHAMPTON ST</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02118-2711</td>\n",
       "      <td>6178770973</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>[Cardiology, Neurology]</td>\n",
       "      <td>[Food Animal, Swine]</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1180</th>\n",
       "      <td>Caroline Winn, DVM</td>\n",
       "      <td>17 MAPLE ST</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>SCITUATE</td>\n",
       "      <td>02066-3609</td>\n",
       "      <td>6315611580</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>[Oncology, Radiology]</td>\n",
       "      <td>[Equine]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>Bond Vet - Seaport Boston</td>\n",
       "      <td>117 AUTUMN LN</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02210-2350</td>\n",
       "      <td>6173028389</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>[Oncology]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>PetMedic Urgent Care Westborough</td>\n",
       "      <td>1 Oak St</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>Westborough</td>\n",
       "      <td>01581-2655</td>\n",
       "      <td>5085254844</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183</th>\n",
       "      <td>Matthew K. Hogan</td>\n",
       "      <td>115 MILL ST</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>BELMONT</td>\n",
       "      <td>02478-1064</td>\n",
       "      <td>6175841434</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>[Cardiology]</td>\n",
       "      <td>[Reptile and Amphibian]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1184</th>\n",
       "      <td>THE CAT HOSPITAL- Northhampton</td>\n",
       "      <td>139 DAMON RD</td>\n",
       "      <td>STE C</td>\n",
       "      <td>MA</td>\n",
       "      <td>NORTHAMPTON</td>\n",
       "      <td>01060-1833</td>\n",
       "      <td>4135862287</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>[Dermatology]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1185 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               clinic_name               address1  \\\n",
       "0           MASSACHUSETTS VET MEDICAL ASSN       163 LAKESIDE AVE   \n",
       "1                    QUINCY ANIMAL SHELTER  43 THOMAS BURGIN PKWY   \n",
       "2     Countryside Animal Hospital - Granby         164 W STATE ST   \n",
       "3                   AGAWAM ANIMAL HOSPITAL             65 MILL ST   \n",
       "4                       SKIPTON VET CLINIC      70 SOUTHAMPTON ST   \n",
       "...                                    ...                    ...   \n",
       "1180                    Caroline Winn, DVM            17 MAPLE ST   \n",
       "1181             Bond Vet - Seaport Boston          117 AUTUMN LN   \n",
       "1182      PetMedic Urgent Care Westborough               1 Oak St   \n",
       "1183                      Matthew K. Hogan            115 MILL ST   \n",
       "1184        THE CAT HOSPITAL- Northhampton           139 DAMON RD   \n",
       "\n",
       "            adress2 state         city         zip       phone  practiceHub  \\\n",
       "0     CHARITIES INC    MA  MARLBOROUGH       01752  5084609333        False   \n",
       "1                      MA       QUINCY  02169-4209  6174793080         True   \n",
       "2                      MA       GRANBY  01033-9606  4134671300        False   \n",
       "3             STE 1    MA       AGAWAM  01001-2393  4137864440         True   \n",
       "4                      MA       BOSTON  02118-2711  6178770973        False   \n",
       "...             ...   ...          ...         ...         ...          ...   \n",
       "1180                   MA     SCITUATE  02066-3609  6315611580        False   \n",
       "1181                   MA       BOSTON  02210-2350  6173028389        False   \n",
       "1182                   MA  Westborough  01581-2655  5085254844        False   \n",
       "1183                   MA      BELMONT  02478-1064  6175841434        False   \n",
       "1184          STE C    MA  NORTHAMPTON  01060-1833  4135862287        False   \n",
       "\n",
       "      televet_services  accepts_insurance  emergency_services  \\\n",
       "0                False              False               False   \n",
       "1                 True              False               False   \n",
       "2                False               True                True   \n",
       "3                False               True               False   \n",
       "4                False              False                True   \n",
       "...                ...                ...                 ...   \n",
       "1180              True               True                True   \n",
       "1181             False              False               False   \n",
       "1182             False               True                True   \n",
       "1183             False              False                True   \n",
       "1184             False               True                True   \n",
       "\n",
       "                 specialities               categories  \n",
       "0                          []     [Food Animal, Swine]  \n",
       "1                          []                       []  \n",
       "2       [Nutrition, Oncology]                       []  \n",
       "3       [Nutrition, Oncology]                       []  \n",
       "4     [Cardiology, Neurology]     [Food Animal, Swine]  \n",
       "...                       ...                      ...  \n",
       "1180    [Oncology, Radiology]                 [Equine]  \n",
       "1181               [Oncology]                       []  \n",
       "1182                       []                       []  \n",
       "1183             [Cardiology]  [Reptile and Amphibian]  \n",
       "1184            [Dermatology]                       []  \n",
       "\n",
       "[1185 rows x 13 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#all possible categories\n",
    "#specialities\n",
    "df = pd.read_json('clinic-info.json')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "50242468",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['categories']('state').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1f47d6d9",
   "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",
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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>clinic_name</th>\n",
       "      <th>address1</th>\n",
       "      <th>adress2</th>\n",
       "      <th>city</th>\n",
       "      <th>zip</th>\n",
       "      <th>phone</th>\n",
       "      <th>practiceHub</th>\n",
       "      <th>televet_services</th>\n",
       "      <th>accepts_insurance</th>\n",
       "      <th>emergency_services</th>\n",
       "      <th>specialities</th>\n",
       "      <th>categories</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>state</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MA</th>\n",
       "      <td>1185</td>\n",
       "      <td>1185</td>\n",
       "      <td>1185</td>\n",
       "      <td>1185</td>\n",
       "      <td>1185</td>\n",
       "      <td>1185</td>\n",
       "      <td>1185</td>\n",
       "      <td>1185</td>\n",
       "      <td>1185</td>\n",
       "      <td>1185</td>\n",
       "      <td>1185</td>\n",
       "      <td>1185</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       clinic_name  address1  adress2  city   zip  phone  practiceHub  \\\n",
       "state                                                                   \n",
       "MA            1185      1185     1185  1185  1185   1185         1185   \n",
       "\n",
       "       televet_services  accepts_insurance  emergency_services  specialities  \\\n",
       "state                                                                          \n",
       "MA                 1185               1185                1185          1185   \n",
       "\n",
       "       categories  \n",
       "state              \n",
       "MA           1185  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#df['categories'].unique()\n",
    "df.groupby('state').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1b562c85",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([nan, 'Nutrition', 'Oncology', 'Cardiology', 'Neurology',\n",
       "       'Dermatology', 'Radiology'], dtype=object)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.explode('specialities')['specialities'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "638a4256",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Food Animal', 'Swine', nan, 'Equine', 'Exotic',\n",
       "       'Reptile and Amphibian', 'Beef Cattle', 'Avian',\n",
       "       'Canine and Feline', 'Dairy'], dtype=object)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.explode('categories')['categories'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6754d8d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Food Animal', 'Swine', nan, 'Equine', 'Exotic',\n",
       "       'Reptile and Amphibian', 'Beef Cattle', 'Avian',\n",
       "       'Canine and Feline', 'Dairy'], dtype=object)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.explode('categories')['categories'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f1244b64",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>clinic_name</th>\n",
       "      <th>address1</th>\n",
       "      <th>adress2</th>\n",
       "      <th>state</th>\n",
       "      <th>city</th>\n",
       "      <th>zip</th>\n",
       "      <th>phone</th>\n",
       "      <th>practiceHub</th>\n",
       "      <th>televet_services</th>\n",
       "      <th>accepts_insurance</th>\n",
       "      <th>emergency_services</th>\n",
       "      <th>categories</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>specialities</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Cardiology</th>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dermatology</th>\n",
       "      <td>216</td>\n",
       "      <td>216</td>\n",
       "      <td>216</td>\n",
       "      <td>216</td>\n",
       "      <td>216</td>\n",
       "      <td>216</td>\n",
       "      <td>216</td>\n",
       "      <td>216</td>\n",
       "      <td>216</td>\n",
       "      <td>216</td>\n",
       "      <td>216</td>\n",
       "      <td>216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neurology</th>\n",
       "      <td>194</td>\n",
       "      <td>194</td>\n",
       "      <td>194</td>\n",
       "      <td>194</td>\n",
       "      <td>194</td>\n",
       "      <td>194</td>\n",
       "      <td>194</td>\n",
       "      <td>194</td>\n",
       "      <td>194</td>\n",
       "      <td>194</td>\n",
       "      <td>194</td>\n",
       "      <td>194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nutrition</th>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Oncology</th>\n",
       "      <td>183</td>\n",
       "      <td>183</td>\n",
       "      <td>183</td>\n",
       "      <td>183</td>\n",
       "      <td>183</td>\n",
       "      <td>183</td>\n",
       "      <td>183</td>\n",
       "      <td>183</td>\n",
       "      <td>183</td>\n",
       "      <td>183</td>\n",
       "      <td>183</td>\n",
       "      <td>183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Radiology</th>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              clinic_name  address1  adress2  state  city  zip  phone  \\\n",
       "specialities                                                            \n",
       "Cardiology            195       195      195    195   195  195    195   \n",
       "Dermatology           216       216      216    216   216  216    216   \n",
       "Neurology             194       194      194    194   194  194    194   \n",
       "Nutrition             205       205      205    205   205  205    205   \n",
       "Oncology              183       183      183    183   183  183    183   \n",
       "Radiology             195       195      195    195   195  195    195   \n",
       "\n",
       "              practiceHub  televet_services  accepts_insurance  \\\n",
       "specialities                                                     \n",
       "Cardiology            195               195                195   \n",
       "Dermatology           216               216                216   \n",
       "Neurology             194               194                194   \n",
       "Nutrition             205               205                205   \n",
       "Oncology              183               183                183   \n",
       "Radiology             195               195                195   \n",
       "\n",
       "              emergency_services  categories  \n",
       "specialities                                  \n",
       "Cardiology                   195         195  \n",
       "Dermatology                  216         216  \n",
       "Neurology                    194         194  \n",
       "Nutrition                    205         205  \n",
       "Oncology                     183         183  \n",
       "Radiology                    195         195  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.explode('specialities').groupby('specialities').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3366f001",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_lat(address,city,state) :\n",
    "    print(address)\n",
    "    try :\n",
    "        location = locator.geocode('' + address + ', ' + city + ', ' + state)\n",
    "    except :\n",
    "        return \"NAN\"\n",
    "    if location is None :\n",
    "        return \"NAN\"\n",
    "    return location.latitude\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "89eae38f",
   "metadata": {},
   "outputs": [],
   "source": [
    "locator = Nominatim(user_agent=\"myGeocoder\")\n",
    "def get_long(address,city,state) :\n",
    "    print(address)\n",
    "    try :\n",
    "        location = locator.geocode('' + address + ', ' + city + ', ' + state)\n",
    "    except :\n",
    "        return \"NAN\"\n",
    "    if location is None :\n",
    "        return \"NAN\"\n",
    "    return location.longitude"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0c7b2830",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "42.34249715"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_lat('163 LAKESIDE AVE','MARLBOROUGH','MA')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cf8ba05a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-71.56798336764095"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_long('163 LAKESIDE AVE','MARLBOROUGH','MA')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5d2b9589",
   "metadata": {
    "scrolled": false
   },
   "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>clinic_name</th>\n",
       "      <th>address1</th>\n",
       "      <th>adress2</th>\n",
       "      <th>state</th>\n",
       "      <th>city</th>\n",
       "      <th>zip</th>\n",
       "      <th>phone</th>\n",
       "      <th>practiceHub</th>\n",
       "      <th>televet_services</th>\n",
       "      <th>accepts_insurance</th>\n",
       "      <th>emergency_services</th>\n",
       "      <th>specialities</th>\n",
       "      <th>categories</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MASSACHUSETTS VET MEDICAL ASSN</td>\n",
       "      <td>163 LAKESIDE AVE</td>\n",
       "      <td>CHARITIES INC</td>\n",
       "      <td>MA</td>\n",
       "      <td>MARLBOROUGH</td>\n",
       "      <td>01752</td>\n",
       "      <td>5084609333</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>[Food Animal, Swine]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>QUINCY ANIMAL SHELTER</td>\n",
       "      <td>43 THOMAS BURGIN PKWY</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>QUINCY</td>\n",
       "      <td>02169-4209</td>\n",
       "      <td>6174793080</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Countryside Animal Hospital - Granby</td>\n",
       "      <td>164 W STATE ST</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>GRANBY</td>\n",
       "      <td>01033-9606</td>\n",
       "      <td>4134671300</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>[Nutrition, Oncology]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AGAWAM ANIMAL HOSPITAL</td>\n",
       "      <td>65 MILL ST</td>\n",
       "      <td>STE 1</td>\n",
       "      <td>MA</td>\n",
       "      <td>AGAWAM</td>\n",
       "      <td>01001-2393</td>\n",
       "      <td>4137864440</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>[Nutrition, Oncology]</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SKIPTON VET CLINIC</td>\n",
       "      <td>70 SOUTHAMPTON ST</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02118-2711</td>\n",
       "      <td>6178770973</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>[Cardiology, Neurology]</td>\n",
       "      <td>[Food Animal, Swine]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Tender Heart Veterinary Care - Gardner</td>\n",
       "      <td>7 PEARSON BLVD</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>GARDNER</td>\n",
       "      <td>01440-3909</td>\n",
       "      <td>9786320024</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>[]</td>\n",
       "      <td>[Equine]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                              clinic_name               address1  \\\n",
       "0          MASSACHUSETTS VET MEDICAL ASSN       163 LAKESIDE AVE   \n",
       "1                   QUINCY ANIMAL SHELTER  43 THOMAS BURGIN PKWY   \n",
       "2    Countryside Animal Hospital - Granby         164 W STATE ST   \n",
       "3                  AGAWAM ANIMAL HOSPITAL             65 MILL ST   \n",
       "4                      SKIPTON VET CLINIC      70 SOUTHAMPTON ST   \n",
       "5  Tender Heart Veterinary Care - Gardner         7 PEARSON BLVD   \n",
       "\n",
       "         adress2 state         city         zip       phone  practiceHub  \\\n",
       "0  CHARITIES INC    MA  MARLBOROUGH       01752  5084609333        False   \n",
       "1                   MA       QUINCY  02169-4209  6174793080         True   \n",
       "2                   MA       GRANBY  01033-9606  4134671300        False   \n",
       "3          STE 1    MA       AGAWAM  01001-2393  4137864440         True   \n",
       "4                   MA       BOSTON  02118-2711  6178770973        False   \n",
       "5                   MA      GARDNER  01440-3909  9786320024        False   \n",
       "\n",
       "   televet_services  accepts_insurance  emergency_services  \\\n",
       "0             False              False               False   \n",
       "1              True              False               False   \n",
       "2             False               True                True   \n",
       "3             False               True               False   \n",
       "4             False              False                True   \n",
       "5             False               True               False   \n",
       "\n",
       "              specialities            categories  \n",
       "0                       []  [Food Animal, Swine]  \n",
       "1                       []                    []  \n",
       "2    [Nutrition, Oncology]                    []  \n",
       "3    [Nutrition, Oncology]                    []  \n",
       "4  [Cardiology, Neurology]  [Food Animal, Swine]  \n",
       "5                       []              [Equine]  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_sample = df.loc[:5,:]\n",
    "df_sample"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4e25fd1b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "163 LAKESIDE AVE\n",
      "43 THOMAS BURGIN PKWY\n",
      "164 W STATE ST\n",
      "65 MILL ST\n",
      "70 SOUTHAMPTON ST\n",
      "7 PEARSON BLVD\n",
      "350 S HUNTINGTON AVE\n",
      "150 S HUNTINGTON AVE\n",
      "48 SOUTHBOURNE RD\n",
      "1627 OSGOOD ST\n",
      "255 FREEPORT ST\n",
      "1036 WALNUT ST\n",
      "326 BRIDGE ST\n",
      "1415 OSTERVILLE RD\n",
      "265 CHELMSFORD ST\n",
      "35 GREAT RD\n",
      "100 PECK ST\n",
      "479 NORTHFIELD RD\n",
      "48 BLISS ST\n",
      "11 BRIERWAY DR\n",
      "84 SW CUTOFF\n",
      "180 BEAR HILL RD STE C\n",
      "96 HUDSON RD\n",
      "13 EXCHANGE ST\n",
      "1849 OCEAN ST\n",
      "239 BOSTON RD\n",
      "17 LAURELWOOD RD\n",
      "103 DEPOT ST\n",
      "1098 MAIN ST\n",
      "75 LOCUST ST\n",
      "15 LOWELL ST\n",
      "60 MASSACHUSETTS AVE\n",
      "79 THEOPHILIS SMITH RD\n",
      "895 TURKEY ST\n",
      "11 DUDLEY OXFORD RD\n",
      "1 4TH AVE\n",
      "5 SHARON AVE\n",
      "39 PLEASANT ST\n",
      "29 DOMINO DR\n",
      "900 BROADWAY\n",
      "28 RIEDELL RD\n",
      "250 MAIN ST\n",
      "34 THOMPSON RD\n",
      "1026 MILLERS FALLS RD\n",
      "1901 S STATE RD\n",
      "139 EAST ST\n",
      "188 NATHAN ELISS HWY\n",
      "72 ASH ST\n",
      "4 Strawberry Hill Rd\n",
      "602 WASHINGTON ST\n",
      "24 HALL AVE\n",
      "108 W BERLIN RD\n",
      "\n",
      "350 S HUNTINGTON AVE\n",
      "PO Box 686\n",
      "83 Shank Painter Rd\n",
      "Dr. Mary Alexander  Boston MA\n",
      "100 Carlson Ave\n",
      "P.O. Box 541435\n",
      "163 HIGHLAND AVE\n",
      "58 NIMROD DR\n",
      "21 SUMMER ST\n",
      "2 COLTON RD\n",
      "220 BROOK ST\n",
      "5 SANDY HILL LN\n",
      "1300 W ELM STREET EXT\n",
      "275 Boston Post Rd East\n",
      "43 SMITH HANSON RD\n",
      "82 TROWBRIDGE RD\n",
      "220 SANDWICH RD\n",
      "360 SUMMER ST\n",
      "66 WEST ST\n",
      "11 ELM ST\n",
      "404 MAIN ST\n",
      "11 CROOKED LN\n",
      "365 ESSEX ST\n",
      "173 BERKELEY RD\n",
      "864 SOUTH ST\n",
      "223 BOYLSTON ST\n",
      "7 E CIRCLE DR\n",
      "606 STATE RD\n",
      "55 ANNAS PL\n",
      "290 BRIDGE ST\n",
      "30 HIGH ST\n",
      "55 Lyman St\n",
      "409 WASHINGTON ST\n",
      "1028 THORNDIKE ST\n",
      "18 BIRCH LN\n",
      "265 LEXINGTON ST\n",
      "5 WATT ST\n",
      "245 BAKER AVE\n",
      "1532 STATE HWY RTE 6\n",
      "147 W MAIN ST\n",
      "89 CHURCH ST\n",
      "563 Main St\n",
      "195 WILDER RD\n",
      "869 SOUTH ST\n",
      "78 WINCHESTER ST\n",
      "437 WALPOLE ST\n",
      "244 THOMPSON RD\n",
      "615 DOUGLAS ST\n",
      "3821 Falmouth Rd\n",
      "PO Box 39\n",
      "4 NASHUA AVE\n",
      "100 LITTLETON RD\n",
      "24 Beacon St\n",
      "12 PARSONAGE HILL RD\n",
      "75 DAVIS STRAITS\n",
      "38 WOOD ST\n",
      "15A Sewall St\n",
      "69 SOUTHWICK RD\n",
      "404 PAIGE LAB\n",
      "11 CROOKED LN\n",
      "1 SKYLINE DR\n",
      "35 VERNON ST\n",
      "29 PROSPECT ST\n",
      "701 CENTER ST\n",
      "114 COMMERCE WAY\n",
      "TWIN OAKS CIRCLE\n",
      "10 GREEN ST\n",
      "17 U ST\n",
      "370 ELMWOOD AVE\n",
      "2 DISCOVERY LN\n",
      "530 MASSACHUSETTS AVE\n",
      "21 JACKSON ST\n",
      "18 MOUNT VERNON ST\n",
      "444 MAIN ST\n",
      "602 WESTERN AVE\n",
      "857 MAIN ST\n",
      "287 RIVERLIN ST\n",
      "1630 BEACON ST\n",
      "595 COLUMBIAN ST\n",
      "441 HOWARD ST\n",
      "271 UNIVERSITY AVE\n",
      "68 GROVER ST\n",
      "Point Rd\n",
      "249 SPRING ST\n",
      "PO Box 261\n",
      "153 MAIN ST\n",
      "4 LEAH WAY\n",
      "309 SUMMER ST\n",
      "\n",
      "\n",
      "16 MASSACHUSETTS AVE\n",
      "65 MILL ST\n",
      "\n",
      "280 SCHOOL ST\n",
      "359 FRESH POND PKWY\n",
      "537 ARSENAL ST\n",
      "8 PETERSON LN\n",
      "27 FAY MOUNTAIN RD\n",
      "53 FINLAY RD\n",
      "25 REVERE BEACH PKWY\n",
      "11 BOURNE BRIDGE APPROACH ST\n",
      "33 PORTER RD\n",
      "120 TOLMAN ST\n",
      "700 Albany St\n",
      "1415 EDGELL RD\n",
      "664 RIVERSIDE AVE\n",
      "430 GREAT NECK RD N\n",
      "210 LINDEN ST\n",
      "1724 MASSACHUSETTS AVE\n",
      "678 BROOKLINE AVE\n",
      "38 MANOMET POINT RD\n",
      "104 LIBERTY ST\n",
      "1775 WASHINGTON ST\n",
      "27 PINE ST\n",
      "262 MILL ST\n",
      "289 LITTLETON RD\n",
      "6 CEDAR ST\n",
      "441 LAKE AVE\n",
      "55A HANCOCK ST\n",
      "230 2ND AVE\n",
      "1147 N MAIN ST\n",
      "261 TOPSFIELD RD\n",
      "354 MAIN ST\n",
      "77 MAGNOLIA CIR\n",
      "20 STANIFORD ST\n",
      "257 BROADWAY\n",
      "465 BEACON ST\n",
      "355 MIDDLESEX AVE\n",
      "510 Hartford Ave West\n",
      "1175 MAIN ST\n",
      "68 DREXEL ST\n",
      "909 SALEM ST\n",
      "104 PAIGE HILL RD\n",
      "6 BROOKS RD\n",
      "PO Box 1155\n",
      "175 CHARLTON RD\n",
      "330 HENSHAW ST\n",
      "345 WASHINGTON ST\n",
      "193 POPES IS\n",
      "128 SIDNEY ST\n",
      "33 BROADWAY\n",
      "2600 MAIN ST\n",
      "29 UNION STREET EXT\n",
      "11 Mayo Dr\n",
      "305 SUFFIELD ST\n",
      "28 SOMERS RD\n",
      "1090 WASHINGTON ST\n",
      "24 SNOW SHORE RD\n",
      "1292 Worcester Rd\n",
      "283 THOMPSON ST\n",
      "200 WESTBORO RD\n",
      "40 RECREATION PARK DR\n",
      "15 CUMBERLAND AVE\n",
      "3 UPLAND RD\n",
      "1307 BEACON ST\n",
      "514 NORTH AVE\n",
      "68 ALDRICH ST\n",
      "25 TOWN FARM RD\n",
      "50 BROOK ST\n",
      "203 Main Street\n",
      "\n",
      "3850 Mystic Valley Pkwy\n",
      "375 OLD POST RD\n",
      "340 Sunderland Rd\n",
      "1336 Phinneys Ln\n",
      "700 WORCESTER ST\n",
      "\n",
      "303 HOMESTEAD AVE\n",
      "7 WHITNEY ST\n",
      "43 RACE POINT RD\n",
      "38 HUNDREDS RD\n",
      "87 SUFFIELD ST\n",
      "43 RUSSELL ST\n",
      "31 LEXINGTON RD\n",
      "236 NORTH ST\n",
      "367 MAPLE ST\n",
      "125 PALMER RD\n",
      "30 Worcester Rd\n",
      "180 PLEASANT ST\n",
      "2 BRIDLE PATH WAY\n",
      "162 FOREST ST\n",
      "11 NORMA RD\n",
      "160 ALEWIFE BROOK PKWY\n",
      "391 MAIN ST\n",
      "24 BLAISDELL RD\n",
      "265 UNION ST\n",
      "31 WELLESLEY AVE\n",
      "1600 VFW PKWY\n",
      "185 LOCUST ST\n",
      "16 TREMONT ST\n",
      "2285 COMMONWEALTH AVE\n",
      "279 PLAIN RD\n",
      "571 BERNARDSTON RD\n",
      "17 ELM ST\n",
      "31 STEVENS ST\n",
      "179 N MAIN ST\n",
      "485 WASHINGTON ST\n",
      "31 SAINT JAMES AVE\n",
      "120 MASSACHUSETTS AVE\n",
      "21 E MOUNTAIN ST\n",
      "309 PITTSFIELD RD\n",
      "457 FEDERAL ST\n",
      "65 FINLAY RD\n",
      "34 BEAVERBROOK RD\n",
      "11 BURLINGTON AVE\n",
      "215 MANSUR ST\n",
      "1194 SPRINGFIELD ST\n",
      "11 INDUSTRIAL DR\n",
      "32 HARVARD DR\n",
      "646 LAFAYETTE ST\n",
      "593 TURNPIKE ST\n",
      "259 AYER RD\n",
      "593 W FALMOUTH HWY\n",
      "105 MAIN ST\n",
      "210 WORCESTER ST\n",
      "276 W Main St\n",
      "RR 3 BOX 40\n",
      "12 COLLETTE ST\n",
      "49 HAVENS RD\n",
      "7 GEORGE HILL RD\n",
      "62 WORCESTER RD\n",
      "1398 W TRUCK RD\n",
      "454 CHANDLER ST\n",
      "500 PAWTUCKET ST\n",
      "244 MAIN ST\n",
      "138 WASHINGTON AVE\n",
      "158 CHARLES ST\n",
      "372 N MAIN ST\n",
      "581 Grand Army of the Republic Hwy\n",
      "2539 Main St #5\n",
      "45 MILK ST\n",
      "414 OLD MILL RD\n",
      "165 NEEDHAM ST\n",
      "198 Ayer Rd\n",
      "9 SALEM RD\n",
      "26 MAHLER RD\n",
      "21 ROCK GLEN RD\n",
      "1174 S WASHINGTON ST\n",
      "252 PROVIDENCE HWY\n",
      "673 COLLEGE HWY\n",
      "347 MAIN ST\n",
      "151 MILLER AVE\n",
      "53 MILL VALLEY RD\n",
      "270 LITTLETON RD\n",
      "44 BINNEY ST\n",
      "23 RICE ST\n",
      "\n",
      "577 GROVE ST\n",
      "21 AUGUSTA AVE\n",
      "39 COTTONWOOD RD\n",
      "70 CENTRE ST\n",
      "7 C ST\n",
      "58 BATES ST\n",
      "26 ESSEX ST\n",
      "595 W CENTER ST\n",
      "216 CAMBRIDGE RD\n",
      "192 MAIN ST\n",
      "190 TURNPIKE ST\n",
      "347 HIGHLAND AVE\n",
      "207 MONTGOMERY RD\n",
      "1285 CENTRAL ST\n",
      "482 MAIN ST\n",
      "3 MOHAWK TRL\n",
      "110 RIVER RD\n",
      "919 HIGH ST\n",
      "359 WORCESTER ST\n",
      "7 DR OSMAN BABSON RD\n",
      "21 UNION AVE\n",
      "3981 Main St\n",
      "167 COUNTY ST\n",
      "45 LOG CABIN RD\n",
      "115 MATTAKEESETT ST\n",
      "6 Bourbon St\n",
      "329 Upper West St\n",
      "59 LAFAYETTE RD\n",
      "63 ELM ST\n",
      "101 HIGH ST\n",
      "3 PAXTON ST\n",
      "864 MASSACHUSETTS AVE\n",
      "19 MAIN ST\n",
      "143 N EAST ST\n",
      "412R Washington St\n",
      "317 CHESTNUT ST STE A\n",
      "334 CHESTNUT ST\n",
      "54 BRIDGE ST\n",
      "693 FOWLER RD\n",
      "419 MERRIMAC ST\n",
      "795 BEDFORD ST\n",
      "334 NEWTON ST\n",
      "52 AMHERST RD\n",
      "280 CHESTNUT ST\n",
      "1751 LOCUST ST\n",
      "10 SEABOARD CIR\n",
      "72 W MAIN ST\n",
      "66 WILSON POND LN\n",
      "32 FREETOWN ST\n",
      "112 BOLTON RD\n",
      "22 GRAFTON RD\n",
      "91 NELSON ST\n",
      "334 CONCORD ST\n",
      "PO BOX 1068\n",
      "42 HIGHLAND CIR\n",
      "3086 Cranberry Hwy\n",
      "38 PARKER RD\n",
      "234 KING ST\n",
      "133 WAITE RD\n",
      "725 STATE HWY\n",
      "77 MESSINA DR\n",
      "951 BROADWAY ST\n",
      "FOWLER RD\n",
      "83 DACEY RD\n",
      "525 SOUTH ST\n",
      "80 ADAMS AVE\n",
      "\n",
      "18 BEVERLY RD\n",
      "350 S HUNTINGTON AVE\n",
      "150 BELMONT ST\n",
      "67 MULBERRY ST\n",
      "1995 WASHINGTON ST\n",
      "293 2ND AVE\n",
      "5 JACOBS WAY\n",
      "13 EXCHANGE ST\n",
      "193 Turnpike Rd\n",
      "77 Massachusetts Avenue\n",
      "441 LAKESIDE AVE\n",
      "\n",
      "\n",
      "18 FIR ST\n",
      "\n",
      "279 THAYER ST\n",
      "7 HARVARD RD\n",
      "490 PLAIN ST\n",
      "648 W CENTER ST\n",
      "9 CENTER ST\n",
      "176 WILLARD ST\n",
      "320 RUSSELL ST\n",
      "42 COLONIAL RD\n",
      "32 ROUTE 6A\n",
      "358 HIGHLAND AVE\n",
      "131 Boston St\n",
      "4 FRITZ AVE\n",
      "482 MAIN ST\n",
      "730 12 Crane Ave\n",
      "782 MAIN RD\n",
      "300 Eliot St\n",
      "116 MECHANIC ST\n",
      "326 BRIDGE ST\n",
      "8 SOMERSET PL\n",
      "440 STOCKBRIDGE RD\n",
      "6 WINTER ST\n",
      "109 CENTRAL ST\n",
      "117 MAIN ST\n",
      "26 OWLS HEAD BLUFF RD\n",
      "79 MASSACHUSETTS AVE\n",
      "665 Huntington Ave\n",
      "145 WASHINGTON ST\n",
      "209 SOUTHBRIDGE ST\n",
      "1485 MAIN ST\n",
      "456 HIGH STREET EXT\n",
      "1750 WASHINGTON ST\n",
      "44 PINESWAMP RD\n",
      "46 WORONOCO RD\n",
      "480 STATE RD\n",
      "196 MILLERS FALLS RD\n",
      "649 WASHINGTON ST\n",
      "1500 GORHAM ST\n",
      "347 PARK AVE\n",
      "365 PLANTATION ST FL 2\n",
      "265 MAIN ST\n",
      "1577 FALMOUTH RD\n",
      "1114 PROVIDENCE RD\n",
      "PO BOX 849\n",
      "2 CLEAR POND RD\n",
      "1000 PLEASANT ST\n",
      "197 BELLUS RD\n",
      "22 HIGHLAND ST\n",
      "11 1/2 CLARK ST\n",
      "23 MAPLE ST\n",
      "4 PAWS LN\n",
      "84 CEDAR HILL RD\n",
      "463 PLYMOUTH ST\n",
      "5 Cornerstone Square\n",
      "\n",
      "14 BELLEVUE RD\n",
      "180 NEEDHAM ST\n",
      "5 STRATHMORE RD\n",
      "310 Harvard St\n",
      "344 OLD GREENWICH PLNS RD\n",
      "103 SAVIN HILL AVE\n",
      "534 MAIN ST\n",
      "51 PETER KRISTOF WAY\n",
      "123 Street\n",
      "225 Friend St\n",
      "228 Washington St\n",
      "155 NEPONSET AVE\n",
      "na\n",
      "10 Stevens St\n",
      "201 COUNTY ST\n",
      "330 MAIN ST\n",
      "P.O. Box 550\n",
      "171 Newbury St\n",
      "24 SUMMER ST\n",
      "290 SUMMER ST\n",
      "21 MANVILLE ST\n",
      "60 MASSACHUSETTS AVE\n",
      "133 E Main St\n",
      "200 Great Rd\n",
      "355 TURNPIKE ST\n",
      "9 RUSSELL RD\n",
      "10 FOUNTAIN ST\n",
      "443 BOSTON ST\n",
      "15 FLANDERS RD\n",
      "123 SAMOSET ST\n",
      "302 N BEDFORD ST\n",
      "330 Boston Rd\n",
      "95 CROSS ST\n",
      "750 STATE RD\n",
      "278 SOUTHBRIDGE RD\n",
      "11 FLETCHER ST\n",
      "720 CAMBRIDGE ST\n",
      "286 W MAIN ST\n",
      "1182 BERNARDSTON RD\n",
      "190 BARKER ST\n",
      "66 E GROVE ST\n",
      "1240 PARK ST\n",
      "20 LINDEN ST\n",
      "288 Newbury St\n",
      "5 MYSTIC VIEW RD\n",
      "492 ROUTE 6A\n",
      "70 MAIN ST\n",
      "10 CHANDLER ST\n",
      "150 STANIFORD ST\n",
      "14 FRUIT ST\n",
      "168 TEATICKET HWY\n",
      "1184 SANDWICH RD\n",
      "138 W MAIN ST\n",
      "127 WASHINGTON ST\n",
      "25 CARLISLE RD\n",
      "1415 MAIN ST\n",
      "2 ROUTE 130\n",
      "475 WHISTLEBERRY DR\n",
      "99 MAIN ST\n",
      "480 HAWES HILL RD\n",
      "10 SANDY LN\n",
      "21 PLYMOUTH ST\n",
      "151 PALMER RD\n",
      "277 ELM ST\n",
      "176 N END RD\n",
      "441 LAKESIDE AVE\n",
      "1451 HIGH ST\n",
      "39 LAWLEY ST\n",
      "155 WINTHROP ST\n",
      "577 GROVE ST\n",
      "950 CUMMINGS CTR\n",
      "77 Powdermill Rd\n",
      "245 County Rd\n",
      "Self Practice\n",
      "51 PARK PLACE WAY\n",
      "PO Box 55\n",
      "53 MUNNS FERRY RD\n",
      "50 COHASSET AVE\n",
      "1240 Park St\n",
      "7 KIRTLAND ST\n",
      "117 E BARE HILL RD\n",
      "7 WESTWARD CIR\n",
      "7 N MARKET ST\n",
      "5 RIDGE RD\n",
      "220 SANDWICH RD\n",
      "289 sycamore st\n",
      "70 LONG AVE\n",
      "31 LEXINGTON RD\n",
      "11 Robert Toner Blvd\n",
      "7 Littleton Road\n",
      "156 Cambridge St\n",
      "15 APPLE ST\n",
      "196 BOSTON TPKE\n",
      "15 Stockwell Dr\n",
      "\n",
      "117 RUSSELLVILLE RD\n",
      "1320 MAIN ST\n",
      "498 COLLEGE HWY\n",
      "46 LESLIE RD\n",
      "51 W STATE ST\n",
      "91 COUNTY RD\n",
      "925 W BROADWAY\n",
      "28 MACYS LN\n",
      "668 MAIN ST\n",
      "300 BROADWAY\n",
      "430 E CENTRAL ST\n",
      "96 PECK ST\n",
      "289 DALTON AVE\n",
      "1130 MAIN ST\n",
      "75 SHORE DR\n",
      "637 HIGH ST\n",
      "368 INDIAN HEAD ST\n",
      "1630 BEACON ST\n",
      "30 FILLMORE RD\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "178 SPRING ST\n",
      "250 GROSSMAN DR\n",
      "16 ANNA RD\n",
      "259A CAMBRIDGE ST\n",
      "619 EAST ST\n",
      "9 HOWE ST\n",
      "128 UXBRIDGE RD\n",
      "56 ANNIE MOORE RD\n",
      "661 Massachusetts Ave\n",
      "665 MASSACHUSETTS AVE\n",
      "10 ARGYLE RD\n",
      "476 BEDFORD ST\n",
      "144 CHARLTON RD\n",
      "401 MAIN ST\n",
      "394 UNDER MOUNTAIN RD\n",
      "200 CENTER ST\n",
      "1 GRAFTON RD\n",
      "11 THATCHER ST\n",
      "5 QUAIL RUN\n",
      "20 CABOT RD\n",
      "89 COMMERCIAL RD\n",
      "259 ELM ST\n",
      "26 KENT RD\n",
      "34 OSTERVILLE WEST BARNSTABLE RD\n",
      "291 QUINCY AVE\n",
      "PO BOX 620\n",
      "22 LISA LN\n",
      "473 NORTH ST\n",
      "55 Union St\n",
      "null\n",
      "627 COTTAGE ST\n",
      "565 MAPLE ST\n",
      "295 BRIGGS RD\n",
      "38 RIVERVIEW DR\n",
      "137A STONY HILL RD\n",
      "110 N HILLSIDE RD\n",
      "Unnamed Road\n",
      "2700 STATE HWY RTE 6\n",
      "\n",
      "\n",
      "3 SPRAGUE RD\n",
      "165 BROAD ST\n",
      "60 MASSACHUSETTS AVE\n",
      "55 WILLARD ST\n",
      "108 Newburyport Tpke\n",
      "4 WINSTEAD AVE\n",
      "105 CURTIS AVE\n",
      "82 SOUTHBOURNE RD\n",
      "3 FARWELL RD\n",
      "110 MILLER ST\n",
      "301 DALTON AVE\n",
      "232 SILVER ST\n",
      "374 BOSTON ST\n",
      "33 POND AVE\n",
      "231 SALEM ST\n",
      "27 ROBERT J WAY\n",
      "96 SUMMER ST\n",
      "112 SHAKER RD\n",
      "333 SWANSEA MALL DR\n",
      "249 MILTON ST\n",
      "200 MECHANIC ST\n",
      "436 N KING ST\n",
      "154 STURBRIDGE RD\n",
      "10 PLEASANT ST\n",
      "18 FRENCH KING HWY\n",
      "112 OLD WASHINGTON ST\n",
      "29 Lowell St\n",
      "643 FALL RIVER AVE\n",
      "64 MIDDLESEX TPKE\n",
      "251 CHELSEA ST\n",
      "5 OAK ST\n",
      "299 E MAIN ST\n",
      "260 SNELL ST\n",
      "295 HIGH ST\n",
      "1537 OCEAN ST\n",
      "373 LUNENBURG ST\n",
      "49 LAWRENCE ST\n",
      "276 EDGARTOWN VINEYARD HAVEN RD\n",
      "28 TREMONT ST\n",
      "96 HANOVER ST\n",
      "525 PAGE BLVD\n",
      "4268 WASHINGTON ST\n",
      "103 MARION RD\n",
      "450 PITTSFIELD RD\n",
      "5 OVERBROOK TER\n",
      "649 LOWELL ST\n",
      "102 ANSEL HALLET RD\n",
      "776 MAIN ST\n",
      "140 HICKS WAY\n",
      "25 LOVETT RD\n",
      "22 MAIN ST\n",
      "155 NORFOLK RD\n",
      "3362 N MAIN ST\n",
      "PO BOX 1997\n",
      "15 FLANDERS RD\n",
      "N/A\n",
      "PO Box 382\n",
      "123 Street\n",
      "26 DONNA RD\n",
      "N/A\n",
      "314 HIGHLAND AVE\n",
      "109 MOUNT WARNER RD\n",
      "152 Boston Post Rd,\n",
      "5 Ledgeview Way\n",
      "6 WILLOW LN\n",
      "10 CHANDLER ST\n",
      "Personal Vet\n",
      "1162 GAR HWY\n",
      "343 PLEASANT ST\n",
      "545 S MAIN ST\n",
      "17 ORLANDO AVE\n",
      "163 HIGHLAND AVE\n",
      "518 Pleasant Street\n",
      "\n",
      "independent\n",
      "165 BROAD ST\n",
      "4110 MYSTIC VALLEY PKWY\n",
      "440 N MAIN ST\n",
      "113 HILLSIDE RD\n",
      "10 PINE ST\n",
      "511 WALTHAM ST\n",
      "373 OLD RUSSELL ST\n",
      "1389 MAIN ST\n",
      "81 WEBB ST\n",
      "380 PLEASANT ST\n",
      "60 AUDUBON RD\n",
      "73 EATON ST\n",
      "273 LOVEWELL ST\n",
      "5 LITTLE NECK WAY\n",
      "129 NEW LANCASTER RD\n",
      "1116 MOHAWK TRL\n",
      "78 CRITTENDEN HILL RD\n",
      "272 GREAT RD\n",
      "5 WATERVILLE ST\n",
      "1103 STATE RD\n",
      "86 CHESTNUT ST\n",
      "516 WASHINGTON ST\n",
      "1964 CENTRE ST\n",
      "2 SUMMER ST\n",
      "48 LOMBARD AVE\n",
      "50 SOLDIERS FIELD PL\n",
      "9 FOX MEADOW DR\n",
      "1336 PHINNEYS LN\n",
      "234 ALLERTON COMMONS LN\n",
      "15 HOMEFIELD DR\n",
      "2 SOUTHWICK ST\n",
      "133 S WASHINGTON STATE RD\n",
      "38 OAKHURST RD\n",
      "21 HANCOCK ST\n",
      "4 CLINTON RD\n",
      "48 FALL RIVER AVE\n",
      "461 LOCUSTFIELD RD\n",
      "435 WAQUOIT HWY\n",
      "1007 SARATOGA ST\n",
      "177 STOREY AVE\n",
      "17 VICTORIA TER\n",
      "390 PLYMOUTH ST\n",
      "1889 BAY RD\n",
      "Mobile Vet\n",
      "326 MAIN ST\n",
      "1 PENNYWISE PATH\n",
      "363 TREMONT ST\n",
      "194 OLD WASHINGTON ST\n",
      "211 STATE ST\n",
      "54 ORCHARD DR\n",
      "111 N MAPLE ST\n",
      "838 CURRAN HWY\n",
      "1149 RICHARDSON RD\n",
      "61 ELLIOT TRL\n",
      "Mobile Vet\n",
      "\n",
      "56 Roland St\n",
      "46 Madison Ave\n",
      "18 SPRING ST\n",
      "16 HILLSVILLE RD\n",
      "55 WILLARD ST\n",
      "494 QUINCY AVE\n",
      "N/A\n",
      "2245 Providence Hwy\n",
      "75 RUGBY RD\n",
      "36 PARISH PATHE\n",
      "Hooke Laboratories, Inc. 439 South Union Street\n",
      "211 STATE ST\n",
      "1234 Unknown\n",
      "16 WINTER ST\n",
      "50 Boston Tpke\n",
      "293 2ND AVE\n",
      "\n",
      "59 BELLEVUE RD\n",
      "15 DIGITAL WAY\n",
      "68 HILAND RD\n",
      "320 FOLEY ST\n",
      "33 Boylston St\n",
      "155 TURNPIKE RD\n",
      "3 BARBERRY RD\n",
      "212 MAIN ST\n",
      "587 TREMONT ST\n",
      "1 WINTHROP ST\n",
      "422 N ELM ST\n",
      "481 Bedford St\n",
      "104 ANDOVER ST\n",
      "689 EDMANDS RD\n",
      "363 MAIN ST\n",
      "965 SANFORD RD\n",
      "31 MARY LOU AVE\n",
      "94 SUMMER ST\n",
      "4 HEDGES POND RD\n",
      "213 HARTFORD AVE\n",
      "112 MENDON ST\n",
      "31 JORIE LN\n",
      "56 WINTHROP ST\n",
      "108 SHAKER RD\n",
      "76 BAPTIST ST\n",
      "918 PROVIDENCE HWY\n",
      "331 HUDSON RD\n",
      "9 STYLES DR\n",
      "511 WAREHAM ST\n",
      "171 BRIDGE ST\n",
      "288 FALL RIVER AVE\n",
      "455 CENTRAL AVE\n",
      "784 BOSTON TPKE\n",
      "191 BROADWAY\n",
      "25 N MAIN ST\n",
      "825 MAIN ST\n",
      "78 DEERFOOT RD\n",
      "593 MONTAUP ST\n",
      "532 SOMERSET AVE\n",
      "128 NORTH RD\n",
      "410 MAIN ST\n",
      "126 MACARTHUR DR\n",
      "922 KEMPTON ST\n",
      "586 S MAIN ST\n",
      "372 N MAIN ST\n",
      "92 Loop Dr.\n",
      "66 Summer St\n",
      "300 LYNWOOD ST\n",
      "200 TECHNOLOGY SQ\n",
      "24 Roland St\n",
      "726A DARTMOUTH ST\n",
      "45 SIDNEY ST\n",
      "15 ROCKRIDGE RD\n",
      "29 PROSPECT ST\n",
      "95 ROUTE 6A\n",
      "1420 PLEASANT ST\n",
      "214 N MAIN ST\n",
      "369 MAIN ST\n",
      "310 Harvard St\n",
      "2 COMMERCE WAY\n",
      "240 CENTRAL ST\n",
      "204 HIGHLAND AVE\n",
      "497 MAIN ST\n",
      "10 WOODLAND DR\n",
      "4 HOMESTEAD CIR\n",
      "139 SHAW ST\n",
      "1724 MASSACHUSETTS AVE\n",
      "\n",
      "218 STATE RD E\n",
      "419 BOSTON AVE\n",
      "33 COTTONWOOD ST\n",
      "86 DUDLEY SOUTHBRIDGE RD\n",
      "614B Main Street\n",
      "22 COOLIDGE RD\n",
      "7 BETH LEE DR\n",
      "10 PARK ST\n",
      "57 UNION ST\n",
      "204 HIGHLAND AVE\n",
      "6 OLD FLANDERS RD\n",
      "12 NICOLE DR\n",
      "26 HAVERHILL RD\n",
      "21 RED BROOK RD\n",
      "1361 MEMORIAL DR\n",
      "1312 MAIN ST\n",
      "293 2ND AVE\n",
      "229 LINCOLN ST\n",
      "164 WESTFORD RD\n",
      "136 COURT ST\n",
      "961 WILLIAM T MORRISSEY BLVD\n",
      "572 N MAIN ST\n",
      "874 MAIN ST\n",
      "121 W CENTRAL ST\n",
      "462 ESSEX AVE\n",
      "314 SOUTHBRIDGE RD\n",
      "1028 STATE RD\n",
      "1227 ASHLEY BLVD\n",
      "10 SMITH LN\n",
      "288 WESTFIELD ST\n",
      "10 OCEAN AVE\n",
      "19 ATLANTIC AVE\n",
      "556 MAIL ST St\n",
      "300 N PLEASANT ST\n",
      "89 SPRINGFIELD ST\n",
      "2424 BOSTON RD\n",
      "245 WINTHROP ST\n",
      "4 WINFIELD ST\n",
      "270 LITTLETON RD\n",
      "33 18TH ST\n",
      "401 STATE RD\n",
      "16 BLUE BELL RD\n",
      "249 MAPLE ST\n",
      "509 MAIN ST\n",
      "100 Central St\n",
      "290 SUMMER ST\n",
      "1287 S MAIN ST\n",
      "7 N MARKET ST\n",
      "500 GRANBY RD\n",
      "P.O. Box 508\n",
      "138 FRYEVILLE RD\n",
      "967 WEST ST\n",
      "180 BEAR HILL RD\n",
      "49 N ST\n",
      "82 WHITINS RD\n",
      "224 MILL VALLEY RD\n",
      "249 ANDOVER ST\n",
      "171 UNION ST\n",
      "25 TOBIAS BOLAND WAY\n",
      "436 N KING ST\n",
      "200 WESTBORO RD\n",
      "36 KIRKLAND DR\n",
      "157 LYNN ST\n",
      "271 UNIVERSITY AVE\n",
      "84 PAQUAWKET PATH\n",
      "Moblie Clinic\n",
      "1 NEPTUNE BLVD\n",
      "345 HARRISON AVE\n",
      "20 ATLANTIC ST\n",
      "153 KIRKLAND DR\n",
      "Boston, Massachusetts\n",
      "154 SUMMER ST\n",
      "312 STUART ST\n",
      "400 BROADWAY\n",
      "55 ANNAS PL\n",
      "7 STRAWBERRY LN\n",
      "\n",
      "6 WILSON AVE\n",
      "223 EGREMONT PLAIN RD\n",
      "93 HYDE PARK AVE\n",
      "17 PRINCETON ST\n",
      "Mobile Vet\n",
      "Own Practice\n",
      "531 FRANKLIN ST\n",
      "303 WAREHAM RD\n",
      "111 N PEARL ST\n",
      "1300 WILBUR AVE\n",
      "7 RIVER ST\n",
      "176 RIVER RD\n",
      "1 MARLAND ST\n",
      "579 ADAMS ST\n",
      "10 TRADERS WAY\n",
      "141 GREENFIELD RD\n",
      "434 OLD CONNECTICUT PATH\n",
      "16 COMMONWEALTH AVE\n",
      "320 EASTHAMPTON RD\n",
      "1634 W HOUSATONIC ST\n",
      "133 TRAPELO RD\n",
      "70 BEACON ST\n",
      "51 MAN MAR DR\n",
      "1342 MAIN ST\n",
      "1008 EAST ST\n",
      "15 BRIERWOOD CT\n",
      "303 CABOT ST\n",
      "92 ALFORD RD\n",
      "741 BERNARDSTON RD\n",
      "24 PEQUOD LN\n",
      "66 HUTTLESTON AVE\n",
      "207 E MAIN ST\n",
      "15 CLEWS ST\n",
      "146 CHIEF JUSTICE CUSHING HWY\n",
      "1205 Main St\n",
      "2 BELCHERTOWN RD\n",
      "140 SUMMER ST\n",
      "1 S MAIN ST\n",
      "4 ETTAS WAY\n",
      "196 W MAIN ST\n",
      "MCGUINN HALL RM 301\n",
      "53 NEW DRIFTWAY\n",
      "68 SUNDERLAND RD\n",
      "6 YELLOW BRICK RD\n",
      "200 Washington St\n",
      "103 ALEWIFE RD\n",
      "138 HIGHLAND AVE\n",
      "274 SOUTHAMPTON ST\n",
      "61 EAST ST\n",
      "251 E BROADWAY\n",
      "4011 MAIN ST\n",
      "183 BAY RD\n",
      "1487 MONUMENT ST\n",
      "14 GOSHEN RD\n",
      "2250 PROVIDENCE HWY\n",
      "20 WESTMINSTER ST\n",
      "99 W BROADWAY\n",
      "294 FRENCH KING HWY\n",
      "6106 SHOPS WAY\n",
      "11 CORNERSTONE SQ\n",
      "74 SAINT ROSE ST\n",
      "326 BRIDGE ST\n",
      "9 HOLLYWOOD DR\n",
      "9 THOROUGHBRED LN\n",
      "PO box 828\n",
      "14 GREENWOOD AVE\n",
      "1108 CAMBRIDGE ST\n",
      "21 AZALEA LN\n",
      "5 WATERVILLE ST\n",
      "286 RIVER DR\n",
      "51 CHICKERING RD\n",
      "151 STEDMAN ST\n",
      "141 GREENFIELD RD\n",
      "200 WESTBORO RD\n",
      "831 MAIN ST\n",
      "P.O. Box 499\n",
      "343 BROADWAY\n",
      "54 SCRAGGY NECK RD\n",
      "\n",
      "35 RICHWOOD ST\n",
      "14 VICKERS ST\n",
      "\n",
      "500 COLUMBIAN ST\n",
      "3 Roche Brothers Way\n",
      "45 PEGGOTTY BEACH RD\n",
      "251 BALLARDVALE ST\n",
      "n/a\n",
      "23 ELMCROFT WAY\n",
      "99 LINDEN ST\n",
      "1234\n",
      "100 INDUSTRIAL PARK RD\n",
      "1991/2 E Main St\n",
      "993 HAVERHILL ST\n",
      "16 WATERHOUSE RD\n",
      "120 MAIN ST\n",
      "670 ALBANY ST\n",
      "7 ALDER BERRY LN\n",
      "89 PLAISTOW RD\n",
      "164 GREAT RD\n",
      "72 SAMOSET ST\n",
      "100 INDUSTRIAL PARK RD\n",
      "477 MILFORD RD\n",
      "642 HALE ST\n",
      "599 WASHINGTON ST\n",
      "68 PROVIDENCE ST\n",
      "305 RIVER ST\n",
      "17 CODMAN HILL RD\n",
      "314 WESTON RD\n",
      "18 PLEASANT ST\n",
      "1837 BRIDGE ST\n",
      "189 WHITFORD CIR\n",
      "6 MIDDLEBORO RD\n",
      "347 LITTLETON RD\n",
      "9 ROUTE 137\n",
      "WORCESTER RD\n",
      "2 ROUTE 130\n",
      "240 FLINT ST\n",
      "896 HATHAWAY RD\n",
      "171 LOWELL RD\n",
      "4 CLEMATIS RD\n",
      "49 STOWE RD\n",
      "542 CAMBRIDGE ST\n",
      "44 VILLAGE ST\n",
      "998 BEDFORD RD\n",
      "1446 WEST ST\n",
      "274 Walnut St\n",
      "120 HUBBARD AVE\n",
      "3840 Washington St\n",
      "60 SHARP ST\n",
      "461 PATRIOTS RD\n",
      "475 T SENGEKONTACKET\n",
      "153 MOUNT AUBURN ST\n",
      "14 Glendale Middle Rd\n",
      "697 TEMPLETON RD\n",
      "BOURNEDALE RD\n",
      "1014 PEARL ST\n",
      "34 FISHER ST\n",
      "25 FARRAR RD\n",
      "56 UNDERPASS RD\n",
      "3 BRIDGE ST\n",
      "18 SOUTH RD\n",
      "34 LONG POND RD\n",
      "114 MASSACHUSETTS AVE\n",
      "175 CHARLTON RD\n",
      "120 LAKE ST\n",
      "311 HILL RD\n",
      "Po Box 322\n",
      "117 LYMAN RD\n",
      "812 CENTRAL ST\n",
      "187 W MAIN ST\n",
      "\n",
      "680 Grover Street\n",
      "233 BATCHELOR ST\n",
      "\n",
      "\n",
      "718 BEACON ST\n",
      "\n",
      "29 FRANCIS ST\n",
      "216 COLONY PLACE RD\n",
      "402 SOUTH ST E\n",
      "230 MAIN ST\n",
      "14 SANDY LN\n",
      "35 WESTBROOK RD\n",
      "612 PLEASANT ST\n",
      "784 E 3RD ST\n",
      "152 BOSTON POST RD\n",
      "38 Clapp Street Ext\n",
      "80 SANDWICH ST\n",
      "308 COURT ST\n",
      "71 ASHFIELD RD\n",
      "58 ELM ST\n",
      "944 MAIN ST\n",
      "89 UNION ST\n",
      "35 VENTURA DR\n",
      "100 CUMMINGS CTR\n",
      "662 BOSTON POST RD\n",
      "705 N SHORE RD\n",
      "9 PELHAM ISLAND RD\n",
      "77 AVENUE LOUIS PASTEUR\n",
      "251 CHELSEA ST\n",
      "19 RANDOLPH ST\n",
      "511 NEWTON ST\n",
      "375 E WASHINGTON ST\n",
      "400 S MAIN ST\n",
      "599 CONCORD ST\n",
      "56 VILLAGE XING\n",
      "1183 MASSACHUSETTS AVE\n",
      "839 S MAIN ST\n",
      "1964 BOSTON RD\n",
      "18 GRANITE ST\n",
      "920 PLEASANT ST\n",
      "386 MAIN ST\n",
      "259 PLYMOUTH ST\n",
      "167 SADDLE HILL RD\n",
      "716 LOWELL RD\n",
      "167 CLINTON RD\n",
      "25 FARRAR RD\n",
      "11 THATCHER ST\n",
      "164 Summer St\n",
      "PO BOX 26\n",
      "64 MAIN ST\n",
      "208 S GREAT RD\n",
      "29 THEODORE DR\n",
      "96 Clematis Ave\n",
      "1 MERRILL ST\n",
      "95 Washington St\n",
      "11 LARNED RD\n",
      "435 PULASKI BLVD\n",
      "57 FARM ST\n",
      "100 EASTERN AVE\n",
      "190 NONOTUCK ST\n",
      "1 FRANKLIN PARK RD\n",
      "118 W BARE HILL RD\n",
      "203 CHESTNUT ST\n",
      "20 EARLS WAY\n",
      "48 MANSFIELD RD\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "9 HODGES ST\n",
      "48 Gardner Rd\n",
      "392C BALL HILL RD\n",
      "227 FARM ST\n",
      "Mobile Vet\n",
      "40 Daniel Shays Hwy\n",
      "Mobile\n",
      "1663 BEACON ST\n",
      "85 MAIN ST\n",
      "91 GROTON RD\n",
      "166 MECHANIC ST\n",
      "150 Presidential Way\n",
      "1229 ORLEANS RD\n",
      "\n",
      "290 CUTLER RD\n",
      "780 CHIEF JUSTICE CUSHING HWY\n",
      "74 CAREY AVE\n",
      "459 STONY HILL RD\n",
      "70 WORCESTER PROVIDENCE TPKE\n",
      "386 BELMONT ST\n",
      "1116 N MAIN ST\n",
      "420 MAPLE ST\n",
      "238 PARK ST\n",
      "31 RAILROAD AVE\n",
      "20 COMMERCIAL ST\n",
      "120 CANAL ST\n",
      "78 HIGH ST\n",
      "30 ELM ST\n",
      "37 MONTGOMERY ST\n",
      "1430 MEMORIAL DR\n",
      "295 WASHINGTON ST\n",
      "141 WINTHROP AVE\n",
      "41 CRANBERRY ST\n",
      "117 DRUM HILL RD\n",
      "157 AIRPORT RD\n",
      "79 PROSPECT ST\n",
      "21 WILBRAHAM ST\n",
      "459 WORCESTER ST\n",
      "109 MASSACHUSETTS AVE\n",
      "29 KING ST\n",
      "201 COUNTY ST\n",
      "2700 STATE HWY RTE 6\n",
      "101A 1st Ave\n",
      "930 COMMONWEALTH AVE\n",
      "1260 Boylston St\n",
      "4 PLUMTREE RD\n",
      "20 Airport Rd\n",
      "94 CARESWELL ST\n",
      "139 HOLDEN ST\n",
      "180 WARE RD\n",
      "74 BIRCH DR\n",
      "50 OVERLOOK RD\n",
      "2424 WINTHROP ST\n",
      "Shelburne\n",
      "764 BROADWAY\n",
      "40 E MAIN ST\n",
      "304 Commonwealth Ave\n",
      "381 Baldwinville Rd\n",
      "123 TERRACE ST\n",
      "660 WEST ST\n",
      "75 KNEELAND ST\n",
      "280B ROUTE 130\n",
      "23 BAY STATE RD\n",
      "840 Memorial Dr\n",
      "128 PARKER ST\n",
      "92 ELLERY ST\n",
      "79 OLD UPTON RD\n",
      "Self practice\n",
      "mobile clinic\n",
      "324 Electric Ave\n",
      "45 WEST ST\n",
      "7 STAR OF THE SEA DR\n",
      "233 LOWELL ST\n",
      "79 S PLAIN RD\n",
      "725 STATE HWY\n",
      "596 GROVE ST\n",
      "84 ANDREW AVE\n",
      "23 DORAN RD\n",
      "104 ANDOVER ST\n",
      "56 IRVING WAY\n",
      "77 VINE ST\n",
      "17 MAPLE ST\n",
      "117 AUTUMN LN\n",
      "1 Oak St\n",
      "115 MILL ST\n",
      "139 DAMON RD\n",
      "163 LAKESIDE AVE\n",
      "43 THOMAS BURGIN PKWY\n",
      "164 W STATE ST\n",
      "65 MILL ST\n",
      "70 SOUTHAMPTON ST\n",
      "7 PEARSON BLVD\n",
      "350 S HUNTINGTON AVE\n",
      "150 S HUNTINGTON AVE\n",
      "48 SOUTHBOURNE RD\n",
      "1627 OSGOOD ST\n",
      "255 FREEPORT ST\n",
      "1036 WALNUT ST\n",
      "326 BRIDGE ST\n",
      "1415 OSTERVILLE RD\n",
      "265 CHELMSFORD ST\n",
      "35 GREAT RD\n",
      "100 PECK ST\n",
      "479 NORTHFIELD RD\n",
      "48 BLISS ST\n",
      "11 BRIERWAY DR\n",
      "84 SW CUTOFF\n",
      "180 BEAR HILL RD STE C\n",
      "96 HUDSON RD\n",
      "13 EXCHANGE ST\n",
      "1849 OCEAN ST\n",
      "239 BOSTON RD\n",
      "17 LAURELWOOD RD\n",
      "103 DEPOT ST\n",
      "1098 MAIN ST\n",
      "75 LOCUST ST\n",
      "15 LOWELL ST\n",
      "60 MASSACHUSETTS AVE\n",
      "79 THEOPHILIS SMITH RD\n",
      "895 TURKEY ST\n",
      "11 DUDLEY OXFORD RD\n",
      "1 4TH AVE\n",
      "5 SHARON AVE\n",
      "39 PLEASANT ST\n",
      "29 DOMINO DR\n",
      "900 BROADWAY\n",
      "28 RIEDELL RD\n",
      "250 MAIN ST\n",
      "34 THOMPSON RD\n",
      "1026 MILLERS FALLS RD\n",
      "1901 S STATE RD\n",
      "139 EAST ST\n",
      "188 NATHAN ELISS HWY\n",
      "72 ASH ST\n",
      "4 Strawberry Hill Rd\n",
      "602 WASHINGTON ST\n",
      "24 HALL AVE\n",
      "108 W BERLIN RD\n",
      "\n",
      "350 S HUNTINGTON AVE\n",
      "PO Box 686\n",
      "83 Shank Painter Rd\n",
      "Dr. Mary Alexander  Boston MA\n",
      "100 Carlson Ave\n",
      "P.O. Box 541435\n",
      "163 HIGHLAND AVE\n",
      "58 NIMROD DR\n",
      "21 SUMMER ST\n",
      "2 COLTON RD\n",
      "220 BROOK ST\n",
      "5 SANDY HILL LN\n",
      "1300 W ELM STREET EXT\n",
      "275 Boston Post Rd East\n",
      "43 SMITH HANSON RD\n",
      "82 TROWBRIDGE RD\n",
      "220 SANDWICH RD\n",
      "360 SUMMER ST\n",
      "66 WEST ST\n",
      "11 ELM ST\n",
      "404 MAIN ST\n",
      "11 CROOKED LN\n",
      "365 ESSEX ST\n",
      "173 BERKELEY RD\n",
      "864 SOUTH ST\n",
      "223 BOYLSTON ST\n",
      "7 E CIRCLE DR\n",
      "606 STATE RD\n",
      "55 ANNAS PL\n",
      "290 BRIDGE ST\n",
      "30 HIGH ST\n",
      "55 Lyman St\n",
      "409 WASHINGTON ST\n",
      "1028 THORNDIKE ST\n",
      "18 BIRCH LN\n",
      "265 LEXINGTON ST\n",
      "5 WATT ST\n",
      "245 BAKER AVE\n",
      "1532 STATE HWY RTE 6\n",
      "147 W MAIN ST\n",
      "89 CHURCH ST\n",
      "563 Main St\n",
      "195 WILDER RD\n",
      "869 SOUTH ST\n",
      "78 WINCHESTER ST\n",
      "437 WALPOLE ST\n",
      "244 THOMPSON RD\n",
      "615 DOUGLAS ST\n",
      "3821 Falmouth Rd\n",
      "PO Box 39\n",
      "4 NASHUA AVE\n",
      "100 LITTLETON RD\n",
      "24 Beacon St\n",
      "12 PARSONAGE HILL RD\n",
      "75 DAVIS STRAITS\n",
      "38 WOOD ST\n",
      "15A Sewall St\n",
      "69 SOUTHWICK RD\n",
      "404 PAIGE LAB\n",
      "11 CROOKED LN\n",
      "1 SKYLINE DR\n",
      "35 VERNON ST\n",
      "29 PROSPECT ST\n",
      "701 CENTER ST\n",
      "114 COMMERCE WAY\n",
      "TWIN OAKS CIRCLE\n",
      "10 GREEN ST\n",
      "17 U ST\n",
      "370 ELMWOOD AVE\n",
      "2 DISCOVERY LN\n",
      "530 MASSACHUSETTS AVE\n",
      "21 JACKSON ST\n",
      "18 MOUNT VERNON ST\n",
      "444 MAIN ST\n",
      "602 WESTERN AVE\n",
      "857 MAIN ST\n",
      "287 RIVERLIN ST\n",
      "1630 BEACON ST\n",
      "595 COLUMBIAN ST\n",
      "441 HOWARD ST\n",
      "271 UNIVERSITY AVE\n",
      "68 GROVER ST\n",
      "Point Rd\n",
      "249 SPRING ST\n",
      "PO Box 261\n",
      "153 MAIN ST\n",
      "4 LEAH WAY\n",
      "309 SUMMER ST\n",
      "\n",
      "\n",
      "16 MASSACHUSETTS AVE\n",
      "65 MILL ST\n",
      "\n",
      "280 SCHOOL ST\n",
      "359 FRESH POND PKWY\n",
      "537 ARSENAL ST\n",
      "8 PETERSON LN\n",
      "27 FAY MOUNTAIN RD\n",
      "53 FINLAY RD\n",
      "25 REVERE BEACH PKWY\n",
      "11 BOURNE BRIDGE APPROACH ST\n",
      "33 PORTER RD\n",
      "120 TOLMAN ST\n",
      "700 Albany St\n",
      "1415 EDGELL RD\n",
      "664 RIVERSIDE AVE\n",
      "430 GREAT NECK RD N\n",
      "210 LINDEN ST\n",
      "1724 MASSACHUSETTS AVE\n",
      "678 BROOKLINE AVE\n",
      "38 MANOMET POINT RD\n",
      "104 LIBERTY ST\n",
      "1775 WASHINGTON ST\n",
      "27 PINE ST\n",
      "262 MILL ST\n",
      "289 LITTLETON RD\n",
      "6 CEDAR ST\n",
      "441 LAKE AVE\n",
      "55A HANCOCK ST\n",
      "230 2ND AVE\n",
      "1147 N MAIN ST\n",
      "261 TOPSFIELD RD\n",
      "354 MAIN ST\n",
      "77 MAGNOLIA CIR\n",
      "20 STANIFORD ST\n",
      "257 BROADWAY\n",
      "465 BEACON ST\n",
      "355 MIDDLESEX AVE\n",
      "510 Hartford Ave West\n",
      "1175 MAIN ST\n",
      "68 DREXEL ST\n",
      "909 SALEM ST\n",
      "104 PAIGE HILL RD\n",
      "6 BROOKS RD\n",
      "PO Box 1155\n",
      "175 CHARLTON RD\n",
      "330 HENSHAW ST\n",
      "345 WASHINGTON ST\n",
      "193 POPES IS\n",
      "128 SIDNEY ST\n",
      "33 BROADWAY\n",
      "2600 MAIN ST\n",
      "29 UNION STREET EXT\n",
      "11 Mayo Dr\n",
      "305 SUFFIELD ST\n",
      "28 SOMERS RD\n",
      "1090 WASHINGTON ST\n",
      "24 SNOW SHORE RD\n",
      "1292 Worcester Rd\n",
      "283 THOMPSON ST\n",
      "200 WESTBORO RD\n",
      "40 RECREATION PARK DR\n",
      "15 CUMBERLAND AVE\n",
      "3 UPLAND RD\n",
      "1307 BEACON ST\n",
      "514 NORTH AVE\n",
      "68 ALDRICH ST\n",
      "25 TOWN FARM RD\n",
      "50 BROOK ST\n",
      "203 Main Street\n",
      "\n",
      "3850 Mystic Valley Pkwy\n",
      "375 OLD POST RD\n",
      "340 Sunderland Rd\n",
      "1336 Phinneys Ln\n",
      "700 WORCESTER ST\n",
      "\n",
      "303 HOMESTEAD AVE\n",
      "7 WHITNEY ST\n",
      "43 RACE POINT RD\n",
      "38 HUNDREDS RD\n",
      "87 SUFFIELD ST\n",
      "43 RUSSELL ST\n",
      "31 LEXINGTON RD\n",
      "236 NORTH ST\n",
      "367 MAPLE ST\n",
      "125 PALMER RD\n",
      "30 Worcester Rd\n",
      "180 PLEASANT ST\n",
      "2 BRIDLE PATH WAY\n",
      "162 FOREST ST\n",
      "11 NORMA RD\n",
      "160 ALEWIFE BROOK PKWY\n",
      "391 MAIN ST\n",
      "24 BLAISDELL RD\n",
      "265 UNION ST\n",
      "31 WELLESLEY AVE\n",
      "1600 VFW PKWY\n",
      "185 LOCUST ST\n",
      "16 TREMONT ST\n",
      "2285 COMMONWEALTH AVE\n",
      "279 PLAIN RD\n",
      "571 BERNARDSTON RD\n",
      "17 ELM ST\n",
      "31 STEVENS ST\n",
      "179 N MAIN ST\n",
      "485 WASHINGTON ST\n",
      "31 SAINT JAMES AVE\n",
      "120 MASSACHUSETTS AVE\n",
      "21 E MOUNTAIN ST\n",
      "309 PITTSFIELD RD\n",
      "457 FEDERAL ST\n",
      "65 FINLAY RD\n",
      "34 BEAVERBROOK RD\n",
      "11 BURLINGTON AVE\n",
      "215 MANSUR ST\n",
      "1194 SPRINGFIELD ST\n",
      "11 INDUSTRIAL DR\n",
      "32 HARVARD DR\n",
      "646 LAFAYETTE ST\n",
      "593 TURNPIKE ST\n",
      "259 AYER RD\n",
      "593 W FALMOUTH HWY\n",
      "105 MAIN ST\n",
      "210 WORCESTER ST\n",
      "276 W Main St\n",
      "RR 3 BOX 40\n",
      "12 COLLETTE ST\n",
      "49 HAVENS RD\n",
      "7 GEORGE HILL RD\n",
      "62 WORCESTER RD\n",
      "1398 W TRUCK RD\n",
      "454 CHANDLER ST\n",
      "500 PAWTUCKET ST\n",
      "244 MAIN ST\n",
      "138 WASHINGTON AVE\n",
      "158 CHARLES ST\n",
      "372 N MAIN ST\n",
      "581 Grand Army of the Republic Hwy\n",
      "2539 Main St #5\n",
      "45 MILK ST\n",
      "414 OLD MILL RD\n",
      "165 NEEDHAM ST\n",
      "198 Ayer Rd\n",
      "9 SALEM RD\n",
      "26 MAHLER RD\n",
      "21 ROCK GLEN RD\n",
      "1174 S WASHINGTON ST\n",
      "252 PROVIDENCE HWY\n",
      "673 COLLEGE HWY\n",
      "347 MAIN ST\n",
      "151 MILLER AVE\n",
      "53 MILL VALLEY RD\n",
      "270 LITTLETON RD\n",
      "44 BINNEY ST\n",
      "23 RICE ST\n",
      "\n",
      "577 GROVE ST\n",
      "21 AUGUSTA AVE\n",
      "39 COTTONWOOD RD\n",
      "70 CENTRE ST\n",
      "7 C ST\n",
      "58 BATES ST\n",
      "26 ESSEX ST\n",
      "595 W CENTER ST\n",
      "216 CAMBRIDGE RD\n",
      "192 MAIN ST\n",
      "190 TURNPIKE ST\n",
      "347 HIGHLAND AVE\n",
      "207 MONTGOMERY RD\n",
      "1285 CENTRAL ST\n",
      "482 MAIN ST\n",
      "3 MOHAWK TRL\n",
      "110 RIVER RD\n",
      "919 HIGH ST\n",
      "359 WORCESTER ST\n",
      "7 DR OSMAN BABSON RD\n",
      "21 UNION AVE\n",
      "3981 Main St\n",
      "167 COUNTY ST\n",
      "45 LOG CABIN RD\n",
      "115 MATTAKEESETT ST\n",
      "6 Bourbon St\n",
      "329 Upper West St\n",
      "59 LAFAYETTE RD\n",
      "63 ELM ST\n",
      "101 HIGH ST\n",
      "3 PAXTON ST\n",
      "864 MASSACHUSETTS AVE\n",
      "19 MAIN ST\n",
      "143 N EAST ST\n",
      "412R Washington St\n",
      "317 CHESTNUT ST STE A\n",
      "334 CHESTNUT ST\n",
      "54 BRIDGE ST\n",
      "693 FOWLER RD\n",
      "419 MERRIMAC ST\n",
      "795 BEDFORD ST\n",
      "334 NEWTON ST\n",
      "52 AMHERST RD\n",
      "280 CHESTNUT ST\n",
      "1751 LOCUST ST\n",
      "10 SEABOARD CIR\n",
      "72 W MAIN ST\n",
      "66 WILSON POND LN\n",
      "32 FREETOWN ST\n",
      "112 BOLTON RD\n",
      "22 GRAFTON RD\n",
      "91 NELSON ST\n",
      "334 CONCORD ST\n",
      "PO BOX 1068\n",
      "42 HIGHLAND CIR\n",
      "3086 Cranberry Hwy\n",
      "38 PARKER RD\n",
      "234 KING ST\n",
      "133 WAITE RD\n",
      "725 STATE HWY\n",
      "77 MESSINA DR\n",
      "951 BROADWAY ST\n",
      "FOWLER RD\n",
      "83 DACEY RD\n",
      "525 SOUTH ST\n",
      "80 ADAMS AVE\n",
      "\n",
      "18 BEVERLY RD\n",
      "350 S HUNTINGTON AVE\n",
      "150 BELMONT ST\n",
      "67 MULBERRY ST\n",
      "1995 WASHINGTON ST\n",
      "293 2ND AVE\n",
      "5 JACOBS WAY\n",
      "13 EXCHANGE ST\n",
      "193 Turnpike Rd\n",
      "77 Massachusetts Avenue\n",
      "441 LAKESIDE AVE\n",
      "\n",
      "\n",
      "18 FIR ST\n",
      "\n",
      "279 THAYER ST\n",
      "7 HARVARD RD\n",
      "490 PLAIN ST\n",
      "648 W CENTER ST\n",
      "9 CENTER ST\n",
      "176 WILLARD ST\n",
      "320 RUSSELL ST\n",
      "42 COLONIAL RD\n",
      "32 ROUTE 6A\n",
      "358 HIGHLAND AVE\n",
      "131 Boston St\n",
      "4 FRITZ AVE\n",
      "482 MAIN ST\n",
      "730 12 Crane Ave\n",
      "782 MAIN RD\n",
      "300 Eliot St\n",
      "116 MECHANIC ST\n",
      "326 BRIDGE ST\n",
      "8 SOMERSET PL\n",
      "440 STOCKBRIDGE RD\n",
      "6 WINTER ST\n",
      "109 CENTRAL ST\n",
      "117 MAIN ST\n",
      "26 OWLS HEAD BLUFF RD\n",
      "79 MASSACHUSETTS AVE\n",
      "665 Huntington Ave\n",
      "145 WASHINGTON ST\n",
      "209 SOUTHBRIDGE ST\n",
      "1485 MAIN ST\n",
      "456 HIGH STREET EXT\n",
      "1750 WASHINGTON ST\n",
      "44 PINESWAMP RD\n",
      "46 WORONOCO RD\n",
      "480 STATE RD\n",
      "196 MILLERS FALLS RD\n",
      "649 WASHINGTON ST\n",
      "1500 GORHAM ST\n",
      "347 PARK AVE\n",
      "365 PLANTATION ST FL 2\n",
      "265 MAIN ST\n",
      "1577 FALMOUTH RD\n",
      "1114 PROVIDENCE RD\n",
      "PO BOX 849\n",
      "2 CLEAR POND RD\n",
      "1000 PLEASANT ST\n",
      "197 BELLUS RD\n",
      "22 HIGHLAND ST\n",
      "11 1/2 CLARK ST\n",
      "23 MAPLE ST\n",
      "4 PAWS LN\n",
      "84 CEDAR HILL RD\n",
      "463 PLYMOUTH ST\n",
      "5 Cornerstone Square\n",
      "\n",
      "14 BELLEVUE RD\n",
      "180 NEEDHAM ST\n",
      "5 STRATHMORE RD\n",
      "310 Harvard St\n",
      "344 OLD GREENWICH PLNS RD\n",
      "103 SAVIN HILL AVE\n",
      "534 MAIN ST\n",
      "51 PETER KRISTOF WAY\n",
      "123 Street\n",
      "225 Friend St\n",
      "228 Washington St\n",
      "155 NEPONSET AVE\n",
      "na\n",
      "10 Stevens St\n",
      "201 COUNTY ST\n",
      "330 MAIN ST\n",
      "P.O. Box 550\n",
      "171 Newbury St\n",
      "24 SUMMER ST\n",
      "290 SUMMER ST\n",
      "21 MANVILLE ST\n",
      "60 MASSACHUSETTS AVE\n",
      "133 E Main St\n",
      "200 Great Rd\n",
      "355 TURNPIKE ST\n",
      "9 RUSSELL RD\n",
      "10 FOUNTAIN ST\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "443 BOSTON ST\n",
      "15 FLANDERS RD\n",
      "123 SAMOSET ST\n",
      "302 N BEDFORD ST\n",
      "330 Boston Rd\n",
      "95 CROSS ST\n",
      "750 STATE RD\n",
      "278 SOUTHBRIDGE RD\n",
      "11 FLETCHER ST\n",
      "720 CAMBRIDGE ST\n",
      "286 W MAIN ST\n",
      "1182 BERNARDSTON RD\n",
      "190 BARKER ST\n",
      "66 E GROVE ST\n",
      "1240 PARK ST\n",
      "20 LINDEN ST\n",
      "288 Newbury St\n",
      "5 MYSTIC VIEW RD\n",
      "492 ROUTE 6A\n",
      "70 MAIN ST\n",
      "10 CHANDLER ST\n",
      "150 STANIFORD ST\n",
      "14 FRUIT ST\n",
      "168 TEATICKET HWY\n",
      "1184 SANDWICH RD\n",
      "138 W MAIN ST\n",
      "127 WASHINGTON ST\n",
      "25 CARLISLE RD\n",
      "1415 MAIN ST\n",
      "2 ROUTE 130\n",
      "475 WHISTLEBERRY DR\n",
      "99 MAIN ST\n",
      "480 HAWES HILL RD\n",
      "10 SANDY LN\n",
      "21 PLYMOUTH ST\n",
      "151 PALMER RD\n",
      "277 ELM ST\n",
      "176 N END RD\n",
      "441 LAKESIDE AVE\n",
      "1451 HIGH ST\n",
      "39 LAWLEY ST\n",
      "155 WINTHROP ST\n",
      "577 GROVE ST\n",
      "950 CUMMINGS CTR\n",
      "77 Powdermill Rd\n",
      "245 County Rd\n",
      "Self Practice\n",
      "51 PARK PLACE WAY\n",
      "PO Box 55\n",
      "53 MUNNS FERRY RD\n",
      "50 COHASSET AVE\n",
      "1240 Park St\n",
      "7 KIRTLAND ST\n",
      "117 E BARE HILL RD\n",
      "7 WESTWARD CIR\n",
      "7 N MARKET ST\n",
      "5 RIDGE RD\n",
      "220 SANDWICH RD\n",
      "289 sycamore st\n",
      "70 LONG AVE\n",
      "31 LEXINGTON RD\n",
      "11 Robert Toner Blvd\n",
      "7 Littleton Road\n",
      "156 Cambridge St\n",
      "15 APPLE ST\n",
      "196 BOSTON TPKE\n",
      "15 Stockwell Dr\n",
      "\n",
      "117 RUSSELLVILLE RD\n",
      "1320 MAIN ST\n",
      "498 COLLEGE HWY\n",
      "46 LESLIE RD\n",
      "51 W STATE ST\n",
      "91 COUNTY RD\n",
      "925 W BROADWAY\n",
      "28 MACYS LN\n",
      "668 MAIN ST\n",
      "300 BROADWAY\n",
      "430 E CENTRAL ST\n",
      "96 PECK ST\n",
      "289 DALTON AVE\n",
      "1130 MAIN ST\n",
      "75 SHORE DR\n",
      "637 HIGH ST\n",
      "368 INDIAN HEAD ST\n",
      "1630 BEACON ST\n",
      "30 FILLMORE RD\n",
      "178 SPRING ST\n",
      "250 GROSSMAN DR\n",
      "16 ANNA RD\n",
      "259A CAMBRIDGE ST\n",
      "619 EAST ST\n",
      "9 HOWE ST\n",
      "128 UXBRIDGE RD\n",
      "56 ANNIE MOORE RD\n",
      "661 Massachusetts Ave\n",
      "665 MASSACHUSETTS AVE\n",
      "10 ARGYLE RD\n",
      "476 BEDFORD ST\n",
      "144 CHARLTON RD\n",
      "401 MAIN ST\n",
      "394 UNDER MOUNTAIN RD\n",
      "200 CENTER ST\n",
      "1 GRAFTON RD\n",
      "11 THATCHER ST\n",
      "5 QUAIL RUN\n",
      "20 CABOT RD\n",
      "89 COMMERCIAL RD\n",
      "259 ELM ST\n",
      "26 KENT RD\n",
      "34 OSTERVILLE WEST BARNSTABLE RD\n",
      "291 QUINCY AVE\n",
      "PO BOX 620\n",
      "22 LISA LN\n",
      "473 NORTH ST\n",
      "55 Union St\n",
      "null\n",
      "627 COTTAGE ST\n",
      "565 MAPLE ST\n",
      "295 BRIGGS RD\n",
      "38 RIVERVIEW DR\n",
      "137A STONY HILL RD\n",
      "110 N HILLSIDE RD\n",
      "Unnamed Road\n",
      "2700 STATE HWY RTE 6\n",
      "\n",
      "\n",
      "3 SPRAGUE RD\n",
      "165 BROAD ST\n",
      "60 MASSACHUSETTS AVE\n",
      "55 WILLARD ST\n",
      "108 Newburyport Tpke\n",
      "4 WINSTEAD AVE\n",
      "105 CURTIS AVE\n",
      "82 SOUTHBOURNE RD\n",
      "3 FARWELL RD\n",
      "110 MILLER ST\n",
      "301 DALTON AVE\n",
      "232 SILVER ST\n",
      "374 BOSTON ST\n",
      "33 POND AVE\n",
      "231 SALEM ST\n",
      "27 ROBERT J WAY\n",
      "96 SUMMER ST\n",
      "112 SHAKER RD\n",
      "333 SWANSEA MALL DR\n",
      "249 MILTON ST\n",
      "200 MECHANIC ST\n",
      "436 N KING ST\n",
      "154 STURBRIDGE RD\n",
      "10 PLEASANT ST\n",
      "18 FRENCH KING HWY\n",
      "112 OLD WASHINGTON ST\n",
      "29 Lowell St\n",
      "643 FALL RIVER AVE\n",
      "64 MIDDLESEX TPKE\n",
      "251 CHELSEA ST\n",
      "5 OAK ST\n",
      "299 E MAIN ST\n",
      "260 SNELL ST\n",
      "295 HIGH ST\n",
      "1537 OCEAN ST\n",
      "373 LUNENBURG ST\n",
      "49 LAWRENCE ST\n",
      "276 EDGARTOWN VINEYARD HAVEN RD\n",
      "28 TREMONT ST\n",
      "96 HANOVER ST\n",
      "525 PAGE BLVD\n",
      "4268 WASHINGTON ST\n",
      "103 MARION RD\n",
      "450 PITTSFIELD RD\n",
      "5 OVERBROOK TER\n",
      "649 LOWELL ST\n",
      "102 ANSEL HALLET RD\n",
      "776 MAIN ST\n",
      "140 HICKS WAY\n",
      "25 LOVETT RD\n",
      "22 MAIN ST\n",
      "155 NORFOLK RD\n",
      "3362 N MAIN ST\n",
      "PO BOX 1997\n",
      "15 FLANDERS RD\n",
      "N/A\n",
      "PO Box 382\n",
      "123 Street\n",
      "26 DONNA RD\n",
      "N/A\n",
      "314 HIGHLAND AVE\n",
      "109 MOUNT WARNER RD\n",
      "152 Boston Post Rd,\n",
      "5 Ledgeview Way\n",
      "6 WILLOW LN\n",
      "10 CHANDLER ST\n",
      "Personal Vet\n",
      "1162 GAR HWY\n",
      "343 PLEASANT ST\n",
      "545 S MAIN ST\n",
      "17 ORLANDO AVE\n",
      "163 HIGHLAND AVE\n",
      "518 Pleasant Street\n",
      "\n",
      "independent\n",
      "165 BROAD ST\n",
      "4110 MYSTIC VALLEY PKWY\n",
      "440 N MAIN ST\n",
      "113 HILLSIDE RD\n",
      "10 PINE ST\n",
      "511 WALTHAM ST\n",
      "373 OLD RUSSELL ST\n",
      "1389 MAIN ST\n",
      "81 WEBB ST\n",
      "380 PLEASANT ST\n",
      "60 AUDUBON RD\n",
      "73 EATON ST\n",
      "273 LOVEWELL ST\n",
      "5 LITTLE NECK WAY\n",
      "129 NEW LANCASTER RD\n",
      "1116 MOHAWK TRL\n",
      "78 CRITTENDEN HILL RD\n",
      "272 GREAT RD\n",
      "5 WATERVILLE ST\n",
      "1103 STATE RD\n",
      "86 CHESTNUT ST\n",
      "516 WASHINGTON ST\n",
      "1964 CENTRE ST\n",
      "2 SUMMER ST\n",
      "48 LOMBARD AVE\n",
      "50 SOLDIERS FIELD PL\n",
      "9 FOX MEADOW DR\n",
      "1336 PHINNEYS LN\n",
      "234 ALLERTON COMMONS LN\n",
      "15 HOMEFIELD DR\n",
      "2 SOUTHWICK ST\n",
      "133 S WASHINGTON STATE RD\n",
      "38 OAKHURST RD\n",
      "21 HANCOCK ST\n",
      "4 CLINTON RD\n",
      "48 FALL RIVER AVE\n",
      "461 LOCUSTFIELD RD\n",
      "435 WAQUOIT HWY\n",
      "1007 SARATOGA ST\n",
      "177 STOREY AVE\n",
      "17 VICTORIA TER\n",
      "390 PLYMOUTH ST\n",
      "1889 BAY RD\n",
      "Mobile Vet\n",
      "326 MAIN ST\n",
      "1 PENNYWISE PATH\n",
      "363 TREMONT ST\n",
      "194 OLD WASHINGTON ST\n",
      "211 STATE ST\n",
      "54 ORCHARD DR\n",
      "111 N MAPLE ST\n",
      "838 CURRAN HWY\n",
      "1149 RICHARDSON RD\n",
      "61 ELLIOT TRL\n",
      "Mobile Vet\n",
      "\n",
      "56 Roland St\n",
      "46 Madison Ave\n",
      "18 SPRING ST\n",
      "16 HILLSVILLE RD\n",
      "55 WILLARD ST\n",
      "494 QUINCY AVE\n",
      "N/A\n",
      "2245 Providence Hwy\n",
      "75 RUGBY RD\n",
      "36 PARISH PATHE\n",
      "Hooke Laboratories, Inc. 439 South Union Street\n",
      "211 STATE ST\n",
      "1234 Unknown\n",
      "16 WINTER ST\n",
      "50 Boston Tpke\n",
      "293 2ND AVE\n",
      "\n",
      "59 BELLEVUE RD\n",
      "15 DIGITAL WAY\n",
      "68 HILAND RD\n",
      "320 FOLEY ST\n",
      "33 Boylston St\n",
      "155 TURNPIKE RD\n",
      "3 BARBERRY RD\n",
      "212 MAIN ST\n",
      "587 TREMONT ST\n",
      "1 WINTHROP ST\n",
      "422 N ELM ST\n",
      "481 Bedford St\n",
      "104 ANDOVER ST\n",
      "689 EDMANDS RD\n",
      "363 MAIN ST\n",
      "965 SANFORD RD\n",
      "31 MARY LOU AVE\n",
      "94 SUMMER ST\n",
      "4 HEDGES POND RD\n",
      "213 HARTFORD AVE\n",
      "112 MENDON ST\n",
      "31 JORIE LN\n",
      "56 WINTHROP ST\n",
      "108 SHAKER RD\n",
      "76 BAPTIST ST\n",
      "918 PROVIDENCE HWY\n",
      "331 HUDSON RD\n",
      "9 STYLES DR\n",
      "511 WAREHAM ST\n",
      "171 BRIDGE ST\n",
      "288 FALL RIVER AVE\n",
      "455 CENTRAL AVE\n",
      "784 BOSTON TPKE\n",
      "191 BROADWAY\n",
      "25 N MAIN ST\n",
      "825 MAIN ST\n",
      "78 DEERFOOT RD\n",
      "593 MONTAUP ST\n",
      "532 SOMERSET AVE\n",
      "128 NORTH RD\n",
      "410 MAIN ST\n",
      "126 MACARTHUR DR\n",
      "922 KEMPTON ST\n",
      "586 S MAIN ST\n",
      "372 N MAIN ST\n",
      "92 Loop Dr.\n",
      "66 Summer St\n",
      "300 LYNWOOD ST\n",
      "200 TECHNOLOGY SQ\n",
      "24 Roland St\n",
      "726A DARTMOUTH ST\n",
      "45 SIDNEY ST\n",
      "15 ROCKRIDGE RD\n",
      "29 PROSPECT ST\n",
      "95 ROUTE 6A\n",
      "1420 PLEASANT ST\n",
      "214 N MAIN ST\n",
      "369 MAIN ST\n",
      "310 Harvard St\n",
      "2 COMMERCE WAY\n",
      "240 CENTRAL ST\n",
      "204 HIGHLAND AVE\n",
      "497 MAIN ST\n",
      "10 WOODLAND DR\n",
      "4 HOMESTEAD CIR\n",
      "139 SHAW ST\n",
      "1724 MASSACHUSETTS AVE\n",
      "\n",
      "218 STATE RD E\n",
      "419 BOSTON AVE\n",
      "33 COTTONWOOD ST\n",
      "86 DUDLEY SOUTHBRIDGE RD\n",
      "614B Main Street\n",
      "22 COOLIDGE RD\n",
      "7 BETH LEE DR\n",
      "10 PARK ST\n",
      "57 UNION ST\n",
      "204 HIGHLAND AVE\n",
      "6 OLD FLANDERS RD\n",
      "12 NICOLE DR\n",
      "26 HAVERHILL RD\n",
      "21 RED BROOK RD\n",
      "1361 MEMORIAL DR\n",
      "1312 MAIN ST\n",
      "293 2ND AVE\n",
      "229 LINCOLN ST\n",
      "164 WESTFORD RD\n",
      "136 COURT ST\n",
      "961 WILLIAM T MORRISSEY BLVD\n",
      "572 N MAIN ST\n",
      "874 MAIN ST\n",
      "121 W CENTRAL ST\n",
      "462 ESSEX AVE\n",
      "314 SOUTHBRIDGE RD\n",
      "1028 STATE RD\n",
      "1227 ASHLEY BLVD\n",
      "10 SMITH LN\n",
      "288 WESTFIELD ST\n",
      "10 OCEAN AVE\n",
      "19 ATLANTIC AVE\n",
      "556 MAIL ST St\n",
      "300 N PLEASANT ST\n",
      "89 SPRINGFIELD ST\n",
      "2424 BOSTON RD\n",
      "245 WINTHROP ST\n",
      "4 WINFIELD ST\n",
      "270 LITTLETON RD\n",
      "33 18TH ST\n",
      "401 STATE RD\n",
      "16 BLUE BELL RD\n",
      "249 MAPLE ST\n",
      "509 MAIN ST\n",
      "100 Central St\n",
      "290 SUMMER ST\n",
      "1287 S MAIN ST\n",
      "7 N MARKET ST\n",
      "500 GRANBY RD\n",
      "P.O. Box 508\n",
      "138 FRYEVILLE RD\n",
      "967 WEST ST\n",
      "180 BEAR HILL RD\n",
      "49 N ST\n",
      "82 WHITINS RD\n",
      "224 MILL VALLEY RD\n",
      "249 ANDOVER ST\n",
      "171 UNION ST\n",
      "25 TOBIAS BOLAND WAY\n",
      "436 N KING ST\n",
      "200 WESTBORO RD\n",
      "36 KIRKLAND DR\n",
      "157 LYNN ST\n",
      "271 UNIVERSITY AVE\n",
      "84 PAQUAWKET PATH\n",
      "Moblie Clinic\n",
      "1 NEPTUNE BLVD\n",
      "345 HARRISON AVE\n",
      "20 ATLANTIC ST\n",
      "153 KIRKLAND DR\n",
      "Boston, Massachusetts\n",
      "154 SUMMER ST\n",
      "312 STUART ST\n",
      "400 BROADWAY\n",
      "55 ANNAS PL\n",
      "7 STRAWBERRY LN\n",
      "\n",
      "6 WILSON AVE\n",
      "223 EGREMONT PLAIN RD\n",
      "93 HYDE PARK AVE\n",
      "17 PRINCETON ST\n",
      "Mobile Vet\n",
      "Own Practice\n",
      "531 FRANKLIN ST\n",
      "303 WAREHAM RD\n",
      "111 N PEARL ST\n",
      "1300 WILBUR AVE\n",
      "7 RIVER ST\n",
      "176 RIVER RD\n",
      "1 MARLAND ST\n",
      "579 ADAMS ST\n",
      "10 TRADERS WAY\n",
      "141 GREENFIELD RD\n",
      "434 OLD CONNECTICUT PATH\n",
      "16 COMMONWEALTH AVE\n",
      "320 EASTHAMPTON RD\n",
      "1634 W HOUSATONIC ST\n",
      "133 TRAPELO RD\n",
      "70 BEACON ST\n",
      "51 MAN MAR DR\n",
      "1342 MAIN ST\n",
      "1008 EAST ST\n",
      "15 BRIERWOOD CT\n",
      "303 CABOT ST\n",
      "92 ALFORD RD\n",
      "741 BERNARDSTON RD\n",
      "24 PEQUOD LN\n",
      "66 HUTTLESTON AVE\n",
      "207 E MAIN ST\n",
      "15 CLEWS ST\n",
      "146 CHIEF JUSTICE CUSHING HWY\n",
      "1205 Main St\n",
      "2 BELCHERTOWN RD\n",
      "140 SUMMER ST\n",
      "1 S MAIN ST\n",
      "4 ETTAS WAY\n",
      "196 W MAIN ST\n",
      "MCGUINN HALL RM 301\n",
      "53 NEW DRIFTWAY\n",
      "68 SUNDERLAND RD\n",
      "6 YELLOW BRICK RD\n",
      "200 Washington St\n",
      "103 ALEWIFE RD\n",
      "138 HIGHLAND AVE\n",
      "274 SOUTHAMPTON ST\n",
      "61 EAST ST\n",
      "251 E BROADWAY\n",
      "4011 MAIN ST\n",
      "183 BAY RD\n",
      "1487 MONUMENT ST\n",
      "14 GOSHEN RD\n",
      "2250 PROVIDENCE HWY\n",
      "20 WESTMINSTER ST\n",
      "99 W BROADWAY\n",
      "294 FRENCH KING HWY\n",
      "6106 SHOPS WAY\n",
      "11 CORNERSTONE SQ\n",
      "74 SAINT ROSE ST\n",
      "326 BRIDGE ST\n",
      "9 HOLLYWOOD DR\n",
      "9 THOROUGHBRED LN\n",
      "PO box 828\n",
      "14 GREENWOOD AVE\n",
      "1108 CAMBRIDGE ST\n",
      "21 AZALEA LN\n",
      "5 WATERVILLE ST\n",
      "286 RIVER DR\n",
      "51 CHICKERING RD\n",
      "151 STEDMAN ST\n",
      "141 GREENFIELD RD\n",
      "200 WESTBORO RD\n",
      "831 MAIN ST\n",
      "P.O. Box 499\n",
      "343 BROADWAY\n",
      "54 SCRAGGY NECK RD\n",
      "\n",
      "35 RICHWOOD ST\n",
      "14 VICKERS ST\n",
      "\n",
      "500 COLUMBIAN ST\n",
      "3 Roche Brothers Way\n",
      "45 PEGGOTTY BEACH RD\n",
      "251 BALLARDVALE ST\n",
      "n/a\n",
      "23 ELMCROFT WAY\n",
      "99 LINDEN ST\n",
      "1234\n",
      "100 INDUSTRIAL PARK RD\n",
      "1991/2 E Main St\n",
      "993 HAVERHILL ST\n",
      "16 WATERHOUSE RD\n",
      "120 MAIN ST\n",
      "670 ALBANY ST\n",
      "7 ALDER BERRY LN\n",
      "89 PLAISTOW RD\n",
      "164 GREAT RD\n",
      "72 SAMOSET ST\n",
      "100 INDUSTRIAL PARK RD\n",
      "477 MILFORD RD\n",
      "642 HALE ST\n",
      "599 WASHINGTON ST\n",
      "68 PROVIDENCE ST\n",
      "305 RIVER ST\n",
      "17 CODMAN HILL RD\n",
      "314 WESTON RD\n",
      "18 PLEASANT ST\n",
      "1837 BRIDGE ST\n",
      "189 WHITFORD CIR\n",
      "6 MIDDLEBORO RD\n",
      "347 LITTLETON RD\n",
      "9 ROUTE 137\n",
      "WORCESTER RD\n",
      "2 ROUTE 130\n",
      "240 FLINT ST\n",
      "896 HATHAWAY RD\n",
      "171 LOWELL RD\n",
      "4 CLEMATIS RD\n",
      "49 STOWE RD\n",
      "542 CAMBRIDGE ST\n",
      "44 VILLAGE ST\n",
      "998 BEDFORD RD\n",
      "1446 WEST ST\n",
      "274 Walnut St\n",
      "120 HUBBARD AVE\n",
      "3840 Washington St\n",
      "60 SHARP ST\n",
      "461 PATRIOTS RD\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "475 T SENGEKONTACKET\n",
      "153 MOUNT AUBURN ST\n",
      "14 Glendale Middle Rd\n",
      "697 TEMPLETON RD\n",
      "BOURNEDALE RD\n",
      "1014 PEARL ST\n",
      "34 FISHER ST\n",
      "25 FARRAR RD\n",
      "56 UNDERPASS RD\n",
      "3 BRIDGE ST\n",
      "18 SOUTH RD\n",
      "34 LONG POND RD\n",
      "114 MASSACHUSETTS AVE\n",
      "175 CHARLTON RD\n",
      "120 LAKE ST\n",
      "311 HILL RD\n",
      "Po Box 322\n",
      "117 LYMAN RD\n",
      "812 CENTRAL ST\n",
      "187 W MAIN ST\n",
      "\n",
      "680 Grover Street\n",
      "233 BATCHELOR ST\n",
      "\n",
      "\n",
      "718 BEACON ST\n",
      "\n",
      "29 FRANCIS ST\n",
      "216 COLONY PLACE RD\n",
      "402 SOUTH ST E\n",
      "230 MAIN ST\n",
      "14 SANDY LN\n",
      "35 WESTBROOK RD\n",
      "612 PLEASANT ST\n",
      "784 E 3RD ST\n",
      "152 BOSTON POST RD\n",
      "38 Clapp Street Ext\n",
      "80 SANDWICH ST\n",
      "308 COURT ST\n",
      "71 ASHFIELD RD\n",
      "58 ELM ST\n",
      "944 MAIN ST\n",
      "89 UNION ST\n",
      "35 VENTURA DR\n",
      "100 CUMMINGS CTR\n",
      "662 BOSTON POST RD\n",
      "705 N SHORE RD\n",
      "9 PELHAM ISLAND RD\n",
      "77 AVENUE LOUIS PASTEUR\n",
      "251 CHELSEA ST\n",
      "19 RANDOLPH ST\n",
      "511 NEWTON ST\n",
      "375 E WASHINGTON ST\n",
      "400 S MAIN ST\n",
      "599 CONCORD ST\n",
      "56 VILLAGE XING\n",
      "1183 MASSACHUSETTS AVE\n",
      "839 S MAIN ST\n",
      "1964 BOSTON RD\n",
      "18 GRANITE ST\n",
      "920 PLEASANT ST\n",
      "386 MAIN ST\n",
      "259 PLYMOUTH ST\n",
      "167 SADDLE HILL RD\n",
      "716 LOWELL RD\n",
      "167 CLINTON RD\n",
      "25 FARRAR RD\n",
      "11 THATCHER ST\n",
      "164 Summer St\n",
      "PO BOX 26\n",
      "64 MAIN ST\n",
      "208 S GREAT RD\n",
      "29 THEODORE DR\n",
      "96 Clematis Ave\n",
      "1 MERRILL ST\n",
      "95 Washington St\n",
      "11 LARNED RD\n",
      "435 PULASKI BLVD\n",
      "57 FARM ST\n",
      "100 EASTERN AVE\n",
      "190 NONOTUCK ST\n",
      "1 FRANKLIN PARK RD\n",
      "118 W BARE HILL RD\n",
      "203 CHESTNUT ST\n",
      "20 EARLS WAY\n",
      "48 MANSFIELD RD\n",
      "9 HODGES ST\n",
      "48 Gardner Rd\n",
      "392C BALL HILL RD\n",
      "227 FARM ST\n",
      "Mobile Vet\n",
      "40 Daniel Shays Hwy\n",
      "Mobile\n",
      "1663 BEACON ST\n",
      "85 MAIN ST\n",
      "91 GROTON RD\n",
      "166 MECHANIC ST\n",
      "150 Presidential Way\n",
      "1229 ORLEANS RD\n",
      "\n",
      "290 CUTLER RD\n",
      "780 CHIEF JUSTICE CUSHING HWY\n",
      "74 CAREY AVE\n",
      "459 STONY HILL RD\n",
      "70 WORCESTER PROVIDENCE TPKE\n",
      "386 BELMONT ST\n",
      "1116 N MAIN ST\n",
      "420 MAPLE ST\n",
      "238 PARK ST\n",
      "31 RAILROAD AVE\n",
      "20 COMMERCIAL ST\n",
      "120 CANAL ST\n",
      "78 HIGH ST\n",
      "30 ELM ST\n",
      "37 MONTGOMERY ST\n",
      "1430 MEMORIAL DR\n",
      "295 WASHINGTON ST\n",
      "141 WINTHROP AVE\n",
      "41 CRANBERRY ST\n",
      "117 DRUM HILL RD\n",
      "157 AIRPORT RD\n",
      "79 PROSPECT ST\n",
      "21 WILBRAHAM ST\n",
      "459 WORCESTER ST\n",
      "109 MASSACHUSETTS AVE\n",
      "29 KING ST\n",
      "201 COUNTY ST\n",
      "2700 STATE HWY RTE 6\n",
      "101A 1st Ave\n",
      "930 COMMONWEALTH AVE\n",
      "1260 Boylston St\n",
      "4 PLUMTREE RD\n",
      "20 Airport Rd\n",
      "94 CARESWELL ST\n",
      "139 HOLDEN ST\n",
      "180 WARE RD\n",
      "74 BIRCH DR\n",
      "50 OVERLOOK RD\n",
      "2424 WINTHROP ST\n",
      "Shelburne\n",
      "764 BROADWAY\n",
      "40 E MAIN ST\n",
      "304 Commonwealth Ave\n",
      "381 Baldwinville Rd\n",
      "123 TERRACE ST\n",
      "660 WEST ST\n",
      "75 KNEELAND ST\n",
      "280B ROUTE 130\n",
      "23 BAY STATE RD\n",
      "840 Memorial Dr\n",
      "128 PARKER ST\n",
      "92 ELLERY ST\n",
      "79 OLD UPTON RD\n",
      "Self practice\n",
      "mobile clinic\n",
      "324 Electric Ave\n",
      "45 WEST ST\n",
      "7 STAR OF THE SEA DR\n",
      "233 LOWELL ST\n",
      "79 S PLAIN RD\n",
      "725 STATE HWY\n",
      "596 GROVE ST\n",
      "84 ANDREW AVE\n",
      "23 DORAN RD\n",
      "104 ANDOVER ST\n",
      "56 IRVING WAY\n",
      "77 VINE ST\n",
      "17 MAPLE ST\n",
      "117 AUTUMN LN\n",
      "1 Oak St\n",
      "115 MILL ST\n",
      "139 DAMON RD\n"
     ]
    },
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>clinic_name</th>\n",
       "      <th>address1</th>\n",
       "      <th>adress2</th>\n",
       "      <th>state</th>\n",
       "      <th>city</th>\n",
       "      <th>zip</th>\n",
       "      <th>phone</th>\n",
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       "      <th>categories</th>\n",
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       "      <th>latitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MASSACHUSETTS VET MEDICAL ASSN</td>\n",
       "      <td>163 LAKESIDE AVE</td>\n",
       "      <td>CHARITIES INC</td>\n",
       "      <td>MA</td>\n",
       "      <td>MARLBOROUGH</td>\n",
       "      <td>01752</td>\n",
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       "      <td>-71.567983</td>\n",
       "      <td>42.342497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>QUINCY ANIMAL SHELTER</td>\n",
       "      <td>43 THOMAS BURGIN PKWY</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>QUINCY</td>\n",
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       "      <td>6174793080</td>\n",
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       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
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       "      <td>[]</td>\n",
       "      <td>-71.008479</td>\n",
       "      <td>42.25428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Countryside Animal Hospital - Granby</td>\n",
       "      <td>164 W STATE ST</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>GRANBY</td>\n",
       "      <td>01033-9606</td>\n",
       "      <td>4134671300</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>[Nutrition, Oncology]</td>\n",
       "      <td>[]</td>\n",
       "      <td>-72.52968</td>\n",
       "      <td>42.253619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AGAWAM ANIMAL HOSPITAL</td>\n",
       "      <td>65 MILL ST</td>\n",
       "      <td>STE 1</td>\n",
       "      <td>MA</td>\n",
       "      <td>AGAWAM</td>\n",
       "      <td>01001-2393</td>\n",
       "      <td>4137864440</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>[Nutrition, Oncology]</td>\n",
       "      <td>[]</td>\n",
       "      <td>-72.631205</td>\n",
       "      <td>42.066973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SKIPTON VET CLINIC</td>\n",
       "      <td>70 SOUTHAMPTON ST</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02118-2711</td>\n",
       "      <td>6178770973</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>[Cardiology, Neurology]</td>\n",
       "      <td>[Food Animal, Swine]</td>\n",
       "      <td>-71.071176</td>\n",
       "      <td>42.332621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1180</th>\n",
       "      <td>Caroline Winn, DVM</td>\n",
       "      <td>17 MAPLE ST</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>SCITUATE</td>\n",
       "      <td>02066-3609</td>\n",
       "      <td>6315611580</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>[Oncology, Radiology]</td>\n",
       "      <td>[Equine]</td>\n",
       "      <td>-70.775306</td>\n",
       "      <td>42.19408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>Bond Vet - Seaport Boston</td>\n",
       "      <td>117 AUTUMN LN</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02210-2350</td>\n",
       "      <td>6173028389</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>[Oncology]</td>\n",
       "      <td>[]</td>\n",
       "      <td>-71.046419</td>\n",
       "      <td>42.351143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>PetMedic Urgent Care Westborough</td>\n",
       "      <td>1 Oak St</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>Westborough</td>\n",
       "      <td>01581-2655</td>\n",
       "      <td>5085254844</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
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       "      <td>[]</td>\n",
       "      <td>-71.608544</td>\n",
       "      <td>42.285605</td>\n",
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       "    <tr>\n",
       "      <th>1183</th>\n",
       "      <td>Matthew K. Hogan</td>\n",
       "      <td>115 MILL ST</td>\n",
       "      <td></td>\n",
       "      <td>MA</td>\n",
       "      <td>BELMONT</td>\n",
       "      <td>02478-1064</td>\n",
       "      <td>6175841434</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>[Cardiology]</td>\n",
       "      <td>[Reptile and Amphibian]</td>\n",
       "      <td>-71.190245</td>\n",
       "      <td>42.393268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1184</th>\n",
       "      <td>THE CAT HOSPITAL- Northhampton</td>\n",
       "      <td>139 DAMON RD</td>\n",
       "      <td>STE C</td>\n",
       "      <td>MA</td>\n",
       "      <td>NORTHAMPTON</td>\n",
       "      <td>01060-1833</td>\n",
       "      <td>4135862287</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>[Dermatology]</td>\n",
       "      <td>[]</td>\n",
       "      <td>-72.631166</td>\n",
       "      <td>42.338422</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1185 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               clinic_name               address1  \\\n",
       "0           MASSACHUSETTS VET MEDICAL ASSN       163 LAKESIDE AVE   \n",
       "1                    QUINCY ANIMAL SHELTER  43 THOMAS BURGIN PKWY   \n",
       "2     Countryside Animal Hospital - Granby         164 W STATE ST   \n",
       "3                   AGAWAM ANIMAL HOSPITAL             65 MILL ST   \n",
       "4                       SKIPTON VET CLINIC      70 SOUTHAMPTON ST   \n",
       "...                                    ...                    ...   \n",
       "1180                    Caroline Winn, DVM            17 MAPLE ST   \n",
       "1181             Bond Vet - Seaport Boston          117 AUTUMN LN   \n",
       "1182      PetMedic Urgent Care Westborough               1 Oak St   \n",
       "1183                      Matthew K. Hogan            115 MILL ST   \n",
       "1184        THE CAT HOSPITAL- Northhampton           139 DAMON RD   \n",
       "\n",
       "            adress2 state         city         zip       phone  practiceHub  \\\n",
       "0     CHARITIES INC    MA  MARLBOROUGH       01752  5084609333        False   \n",
       "1                      MA       QUINCY  02169-4209  6174793080         True   \n",
       "2                      MA       GRANBY  01033-9606  4134671300        False   \n",
       "3             STE 1    MA       AGAWAM  01001-2393  4137864440         True   \n",
       "4                      MA       BOSTON  02118-2711  6178770973        False   \n",
       "...             ...   ...          ...         ...         ...          ...   \n",
       "1180                   MA     SCITUATE  02066-3609  6315611580        False   \n",
       "1181                   MA       BOSTON  02210-2350  6173028389        False   \n",
       "1182                   MA  Westborough  01581-2655  5085254844        False   \n",
       "1183                   MA      BELMONT  02478-1064  6175841434        False   \n",
       "1184          STE C    MA  NORTHAMPTON  01060-1833  4135862287        False   \n",
       "\n",
       "      televet_services  accepts_insurance  emergency_services  \\\n",
       "0                False              False               False   \n",
       "1                 True              False               False   \n",
       "2                False               True                True   \n",
       "3                False               True               False   \n",
       "4                False              False                True   \n",
       "...                ...                ...                 ...   \n",
       "1180              True               True                True   \n",
       "1181             False              False               False   \n",
       "1182             False               True                True   \n",
       "1183             False              False                True   \n",
       "1184             False               True                True   \n",
       "\n",
       "                 specialities               categories  longitude   latitude  \n",
       "0                          []     [Food Animal, Swine] -71.567983  42.342497  \n",
       "1                          []                       [] -71.008479   42.25428  \n",
       "2       [Nutrition, Oncology]                       []  -72.52968  42.253619  \n",
       "3       [Nutrition, Oncology]                       [] -72.631205  42.066973  \n",
       "4     [Cardiology, Neurology]     [Food Animal, Swine] -71.071176  42.332621  \n",
       "...                       ...                      ...        ...        ...  \n",
       "1180    [Oncology, Radiology]                 [Equine] -70.775306   42.19408  \n",
       "1181               [Oncology]                       [] -71.046419  42.351143  \n",
       "1182                       []                       [] -71.608544  42.285605  \n",
       "1183             [Cardiology]  [Reptile and Amphibian] -71.190245  42.393268  \n",
       "1184            [Dermatology]                       [] -72.631166  42.338422  \n",
       "\n",
       "[1185 rows x 15 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['longitude'] = df.apply(lambda row : get_long(row['address1'],row['city'],row['state']),axis=1)\n",
    "df['latitude'] = df.apply(lambda row : get_lat(row['address1'],row['city'],row['state']),axis=1)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f9683497",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('with_lat_lon.csv',index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "44eb9b2e",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Countryside Animal Hospital - Granby</td>\n",
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       "      <td>MA</td>\n",
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       "      <td>SKIPTON VET CLINIC</td>\n",
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       "      <td>MA</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1180</th>\n",
       "      <td>Caroline Winn, DVM</td>\n",
       "      <td>17 MAPLE ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>SCITUATE</td>\n",
       "      <td>02066</td>\n",
       "      <td>6315611580</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>['Oncology', 'Radiology']</td>\n",
       "      <td>['Equine']</td>\n",
       "      <td>-70.77530608471923</td>\n",
       "      <td>42.194079599999995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>Bond Vet - Seaport Boston</td>\n",
       "      <td>117 AUTUMN LN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02210</td>\n",
       "      <td>6173028389</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>['Oncology']</td>\n",
       "      <td>[]</td>\n",
       "      <td>-71.0464195</td>\n",
       "      <td>42.3511432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>PetMedic Urgent Care Westborough</td>\n",
       "      <td>1 Oak St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>Westborough</td>\n",
       "      <td>01581</td>\n",
       "      <td>5085254844</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>[]</td>\n",
       "      <td>-71.6085437</td>\n",
       "      <td>42.285605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183</th>\n",
       "      <td>Matthew K. Hogan</td>\n",
       "      <td>115 MILL ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BELMONT</td>\n",
       "      <td>02478</td>\n",
       "      <td>6175841434</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>['Cardiology']</td>\n",
       "      <td>['Reptile and Amphibian']</td>\n",
       "      <td>-71.19024470958927</td>\n",
       "      <td>42.393267949999995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1184</th>\n",
       "      <td>THE CAT HOSPITAL- Northhampton</td>\n",
       "      <td>139 DAMON RD</td>\n",
       "      <td>STE C</td>\n",
       "      <td>MA</td>\n",
       "      <td>NORTHAMPTON</td>\n",
       "      <td>01060</td>\n",
       "      <td>4135862287</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>['Dermatology']</td>\n",
       "      <td>[]</td>\n",
       "      <td>-72.63116584938251</td>\n",
       "      <td>42.338421600000004</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1185 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               clinic_name               address1  \\\n",
       "0           MASSACHUSETTS VET MEDICAL ASSN       163 LAKESIDE AVE   \n",
       "1                    QUINCY ANIMAL SHELTER  43 THOMAS BURGIN PKWY   \n",
       "2     Countryside Animal Hospital - Granby         164 W STATE ST   \n",
       "3                   AGAWAM ANIMAL HOSPITAL             65 MILL ST   \n",
       "4                       SKIPTON VET CLINIC      70 SOUTHAMPTON ST   \n",
       "...                                    ...                    ...   \n",
       "1180                    Caroline Winn, DVM            17 MAPLE ST   \n",
       "1181             Bond Vet - Seaport Boston          117 AUTUMN LN   \n",
       "1182      PetMedic Urgent Care Westborough               1 Oak St   \n",
       "1183                      Matthew K. Hogan            115 MILL ST   \n",
       "1184        THE CAT HOSPITAL- Northhampton           139 DAMON RD   \n",
       "\n",
       "            adress2 state         city    zip       phone  practiceHub  \\\n",
       "0     CHARITIES INC    MA  MARLBOROUGH  01752  5084609333            0   \n",
       "1               NaN    MA       QUINCY  02169  6174793080            1   \n",
       "2               NaN    MA       GRANBY  01033  4134671300            0   \n",
       "3             STE 1    MA       AGAWAM  01001  4137864440            1   \n",
       "4               NaN    MA       BOSTON  02118  6178770973            0   \n",
       "...             ...   ...          ...    ...         ...          ...   \n",
       "1180            NaN    MA     SCITUATE  02066  6315611580            0   \n",
       "1181            NaN    MA       BOSTON  02210  6173028389            0   \n",
       "1182            NaN    MA  Westborough  01581  5085254844            0   \n",
       "1183            NaN    MA      BELMONT  02478  6175841434            0   \n",
       "1184          STE C    MA  NORTHAMPTON  01060  4135862287            0   \n",
       "\n",
       "      televet_services  accepts_insurance  emergency_services  \\\n",
       "0                    0                  0                   0   \n",
       "1                    1                  0                   0   \n",
       "2                    0                  1                   1   \n",
       "3                    0                  1                   0   \n",
       "4                    0                  0                   1   \n",
       "...                ...                ...                 ...   \n",
       "1180                 1                  1                   1   \n",
       "1181                 0                  0                   0   \n",
       "1182                 0                  1                   1   \n",
       "1183                 0                  0                   1   \n",
       "1184                 0                  1                   1   \n",
       "\n",
       "                     specialities                 categories  \\\n",
       "0                              []   ['Food Animal', 'Swine']   \n",
       "1                              []                         []   \n",
       "2       ['Nutrition', 'Oncology']                         []   \n",
       "3       ['Nutrition', 'Oncology']                         []   \n",
       "4     ['Cardiology', 'Neurology']   ['Food Animal', 'Swine']   \n",
       "...                           ...                        ...   \n",
       "1180    ['Oncology', 'Radiology']                 ['Equine']   \n",
       "1181                 ['Oncology']                         []   \n",
       "1182                           []                         []   \n",
       "1183               ['Cardiology']  ['Reptile and Amphibian']   \n",
       "1184              ['Dermatology']                         []   \n",
       "\n",
       "               longitude            latitude  \n",
       "0     -71.56798336764095         42.34249715  \n",
       "1           -71.00847895  42.254280050000006  \n",
       "2     -72.52968015165848         42.25361875  \n",
       "3           -72.63120485          42.0669733  \n",
       "4     -71.07117594997487         42.33262105  \n",
       "...                  ...                 ...  \n",
       "1180  -70.77530608471923  42.194079599999995  \n",
       "1181         -71.0464195          42.3511432  \n",
       "1182         -71.6085437           42.285605  \n",
       "1183  -71.19024470958927  42.393267949999995  \n",
       "1184  -72.63116584938251  42.338421600000004  \n",
       "\n",
       "[1185 rows x 15 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_lat_lon = pd.read_csv('with_lat_lon.csv',dtype={'phone': str})\n",
    "#df_lat_lon['phone'] = df_lat_lon['phone'].astype(str)\n",
    "#df_lat_lon['phone'] = df_lat_lon['phone'].str[:-2]\n",
    "df_lat_lon['practiceHub'] = df_lat_lon['practiceHub'].apply(lambda answer : 1 if answer else 0)\n",
    "df_lat_lon['emergency_services'] = df_lat_lon['emergency_services'].apply(lambda answer : 1 if answer else 0)\n",
    "df_lat_lon['accepts_insurance'] = df_lat_lon['accepts_insurance'].apply(lambda answer : 1 if answer else 0)\n",
    "df_lat_lon['televet_services'] = df_lat_lon['televet_services'].apply(lambda answer : 1 if answer else 0)\n",
    "df_lat_lon['zip'] = df_lat_lon['zip'].apply(lambda answer : answer[0:5])\n",
    "df_lat_lon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b858d9d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_lat_lon = df_lat_lon[df_lat_lon['longitude'] != 'NAN']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "af5b4f44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                 Food Animal\n",
       "0                       Swine\n",
       "1                         NaN\n",
       "2                         NaN\n",
       "3                         NaN\n",
       "                ...          \n",
       "1180                   Equine\n",
       "1181                      NaN\n",
       "1182                      NaN\n",
       "1183    Reptile and Amphibian\n",
       "1184                      NaN\n",
       "Name: categories, Length: 1343, dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_lat_lon['categories'].apply(ast.literal_eval).explode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b8fad5a8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        ['Food Animal', 'Swine']\n",
       "1                              []\n",
       "2                              []\n",
       "3                              []\n",
       "4        ['Food Animal', 'Swine']\n",
       "                  ...            \n",
       "1180                   ['Equine']\n",
       "1181                           []\n",
       "1182                           []\n",
       "1183    ['Reptile and Amphibian']\n",
       "1184                           []\n",
       "Name: categories, Length: 1009, dtype: object"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_lat_lon['categories'].explode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "30153223",
   "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>clinic_name</th>\n",
       "      <th>address1</th>\n",
       "      <th>adress2</th>\n",
       "      <th>state</th>\n",
       "      <th>city</th>\n",
       "      <th>zip</th>\n",
       "      <th>phone</th>\n",
       "      <th>practiceHub</th>\n",
       "      <th>televet_services</th>\n",
       "      <th>accepts_insurance</th>\n",
       "      <th>...</th>\n",
       "      <th>Exotic</th>\n",
       "      <th>Food Animal</th>\n",
       "      <th>Reptile and Amphibian</th>\n",
       "      <th>Swine</th>\n",
       "      <th>Cardiology</th>\n",
       "      <th>Dermatology</th>\n",
       "      <th>Neurology</th>\n",
       "      <th>Nutrition</th>\n",
       "      <th>Oncology</th>\n",
       "      <th>Radiology</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MASSACHUSETTS VET MEDICAL ASSN</td>\n",
       "      <td>163 LAKESIDE AVE</td>\n",
       "      <td>CHARITIES INC</td>\n",
       "      <td>MA</td>\n",
       "      <td>MARLBOROUGH</td>\n",
       "      <td>01752</td>\n",
       "      <td>5084609333</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>QUINCY ANIMAL SHELTER</td>\n",
       "      <td>43 THOMAS BURGIN PKWY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>QUINCY</td>\n",
       "      <td>02169</td>\n",
       "      <td>6174793080</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Countryside Animal Hospital - Granby</td>\n",
       "      <td>164 W STATE ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>GRANBY</td>\n",
       "      <td>01033</td>\n",
       "      <td>4134671300</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AGAWAM ANIMAL HOSPITAL</td>\n",
       "      <td>65 MILL ST</td>\n",
       "      <td>STE 1</td>\n",
       "      <td>MA</td>\n",
       "      <td>AGAWAM</td>\n",
       "      <td>01001</td>\n",
       "      <td>4137864440</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SKIPTON VET CLINIC</td>\n",
       "      <td>70 SOUTHAMPTON ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02118</td>\n",
       "      <td>6178770973</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1180</th>\n",
       "      <td>Caroline Winn, DVM</td>\n",
       "      <td>17 MAPLE ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>SCITUATE</td>\n",
       "      <td>02066</td>\n",
       "      <td>6315611580</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>Bond Vet - Seaport Boston</td>\n",
       "      <td>117 AUTUMN LN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02210</td>\n",
       "      <td>6173028389</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>PetMedic Urgent Care Westborough</td>\n",
       "      <td>1 Oak St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>Westborough</td>\n",
       "      <td>01581</td>\n",
       "      <td>5085254844</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183</th>\n",
       "      <td>Matthew K. Hogan</td>\n",
       "      <td>115 MILL ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BELMONT</td>\n",
       "      <td>02478</td>\n",
       "      <td>6175841434</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1184</th>\n",
       "      <td>THE CAT HOSPITAL- Northhampton</td>\n",
       "      <td>139 DAMON RD</td>\n",
       "      <td>STE C</td>\n",
       "      <td>MA</td>\n",
       "      <td>NORTHAMPTON</td>\n",
       "      <td>01060</td>\n",
       "      <td>4135862287</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1009 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               clinic_name               address1  \\\n",
       "0           MASSACHUSETTS VET MEDICAL ASSN       163 LAKESIDE AVE   \n",
       "1                    QUINCY ANIMAL SHELTER  43 THOMAS BURGIN PKWY   \n",
       "2     Countryside Animal Hospital - Granby         164 W STATE ST   \n",
       "3                   AGAWAM ANIMAL HOSPITAL             65 MILL ST   \n",
       "4                       SKIPTON VET CLINIC      70 SOUTHAMPTON ST   \n",
       "...                                    ...                    ...   \n",
       "1180                    Caroline Winn, DVM            17 MAPLE ST   \n",
       "1181             Bond Vet - Seaport Boston          117 AUTUMN LN   \n",
       "1182      PetMedic Urgent Care Westborough               1 Oak St   \n",
       "1183                      Matthew K. Hogan            115 MILL ST   \n",
       "1184        THE CAT HOSPITAL- Northhampton           139 DAMON RD   \n",
       "\n",
       "            adress2 state         city    zip       phone  practiceHub  \\\n",
       "0     CHARITIES INC    MA  MARLBOROUGH  01752  5084609333            0   \n",
       "1               NaN    MA       QUINCY  02169  6174793080            1   \n",
       "2               NaN    MA       GRANBY  01033  4134671300            0   \n",
       "3             STE 1    MA       AGAWAM  01001  4137864440            1   \n",
       "4               NaN    MA       BOSTON  02118  6178770973            0   \n",
       "...             ...   ...          ...    ...         ...          ...   \n",
       "1180            NaN    MA     SCITUATE  02066  6315611580            0   \n",
       "1181            NaN    MA       BOSTON  02210  6173028389            0   \n",
       "1182            NaN    MA  Westborough  01581  5085254844            0   \n",
       "1183            NaN    MA      BELMONT  02478  6175841434            0   \n",
       "1184          STE C    MA  NORTHAMPTON  01060  4135862287            0   \n",
       "\n",
       "      televet_services  accepts_insurance  ...  Exotic Food Animal  \\\n",
       "0                    0                  0  ...       0           1   \n",
       "1                    1                  0  ...       0           0   \n",
       "2                    0                  1  ...       0           0   \n",
       "3                    0                  1  ...       0           0   \n",
       "4                    0                  0  ...       0           1   \n",
       "...                ...                ...  ...     ...         ...   \n",
       "1180                 1                  1  ...       0           0   \n",
       "1181                 0                  0  ...       0           0   \n",
       "1182                 0                  1  ...       0           0   \n",
       "1183                 0                  0  ...       0           0   \n",
       "1184                 0                  1  ...       0           0   \n",
       "\n",
       "     Reptile and Amphibian  Swine  Cardiology  Dermatology  Neurology  \\\n",
       "0                        0      1           0            0          0   \n",
       "1                        0      0           0            0          0   \n",
       "2                        0      0           0            0          0   \n",
       "3                        0      0           0            0          0   \n",
       "4                        0      1           1            0          1   \n",
       "...                    ...    ...         ...          ...        ...   \n",
       "1180                     0      0           0            0          0   \n",
       "1181                     0      0           0            0          0   \n",
       "1182                     0      0           0            0          0   \n",
       "1183                     1      0           1            0          0   \n",
       "1184                     0      0           0            1          0   \n",
       "\n",
       "      Nutrition  Oncology  Radiology  \n",
       "0             0         0          0  \n",
       "1             0         0          0  \n",
       "2             1         1          0  \n",
       "3             1         1          0  \n",
       "4             0         0          0  \n",
       "...         ...       ...        ...  \n",
       "1180          0         1          1  \n",
       "1181          0         1          0  \n",
       "1182          0         0          0  \n",
       "1183          0         0          0  \n",
       "1184          0         0          0  \n",
       "\n",
       "[1009 rows x 28 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_lat_lon_explode = pd.concat([df_lat_lon.drop('categories', axis=1), pd.get_dummies(df_lat_lon['categories'].apply(ast.literal_eval).explode()).groupby(level=0).sum()], axis=1)\n",
    "df_lat_lon_explode = pd.concat([df_lat_lon_explode.drop('specialities', axis=1), pd.get_dummies(df_lat_lon_explode['specialities'].apply(ast.literal_eval).explode()).groupby(level=0).sum()], axis=1)\n",
    "df_lat_lon_explode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "46a8c1e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['clinic_name', 'address1', 'adress2', 'state', 'city', 'zip', 'phone',\n",
       "       'practiceHub', 'televet_services', 'accepts_insurance',\n",
       "       'emergency_services', 'longitude', 'latitude', 'Avian', 'Beef Cattle',\n",
       "       'Canine and Feline', 'Dairy', 'Equine', 'Exotic', 'Food Animal',\n",
       "       'Reptile and Amphibian', 'Swine', 'Cardiology', 'Dermatology',\n",
       "       'Neurology', 'Nutrition', 'Oncology', 'Radiology'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_lat_lon_explode.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "9e712615",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_lat_lon_explode.to_json('final_clinic_data.json',orient=\"records\")\n",
    "# parsed = loads(result)\n",
    "# dumps(parsed, indent=4) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "bb6a5d0a",
   "metadata": {
    "scrolled": false
   },
   "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>clinic_name</th>\n",
       "      <th>address1</th>\n",
       "      <th>adress2</th>\n",
       "      <th>state</th>\n",
       "      <th>city</th>\n",
       "      <th>zip</th>\n",
       "      <th>phone</th>\n",
       "      <th>practiceHub</th>\n",
       "      <th>televet_services</th>\n",
       "      <th>accepts_insurance</th>\n",
       "      <th>...</th>\n",
       "      <th>Exotic</th>\n",
       "      <th>Food Animal</th>\n",
       "      <th>Reptile and Amphibian</th>\n",
       "      <th>Swine</th>\n",
       "      <th>Cardiology</th>\n",
       "      <th>Dermatology</th>\n",
       "      <th>Neurology</th>\n",
       "      <th>Nutrition</th>\n",
       "      <th>Oncology</th>\n",
       "      <th>Radiology</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MASSACHUSETTS VET MEDICAL ASSN</td>\n",
       "      <td>163 LAKESIDE AVE</td>\n",
       "      <td>CHARITIES INC</td>\n",
       "      <td>MA</td>\n",
       "      <td>MARLBOROUGH</td>\n",
       "      <td>01752</td>\n",
       "      <td>5084609333</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SKIPTON VET CLINIC</td>\n",
       "      <td>70 SOUTHAMPTON ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02118</td>\n",
       "      <td>6178770973</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>NORWOOD ANIMAL HOSPITAL</td>\n",
       "      <td>437 WALPOLE ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>NORWOOD</td>\n",
       "      <td>02062</td>\n",
       "      <td>7817693011</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>COMPASSIONATE CARE VET</td>\n",
       "      <td>1147 N MAIN ST</td>\n",
       "      <td>FOR THE LOVE OF CATS</td>\n",
       "      <td>MA</td>\n",
       "      <td>RANDOLPH</td>\n",
       "      <td>02368</td>\n",
       "      <td>7819860900</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>A House Call Vet - Weston</td>\n",
       "      <td>514 NORTH AVE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>WESTON</td>\n",
       "      <td>02493</td>\n",
       "      <td>8884147297</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>Better Vet Boston-Dr Sidley</td>\n",
       "      <td>60 MASSACHUSETTS AVE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02115</td>\n",
       "      <td>6179396144</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>DIGIOVANNI MARIA DVM ANIMAL CLINIC</td>\n",
       "      <td>86 CHESTNUT ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BROOKLINE</td>\n",
       "      <td>02445</td>\n",
       "      <td>6172323527</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>SURFACE LOGIX Inc.</td>\n",
       "      <td>50 SOLDIERS FIELD PL</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BRIGHTON</td>\n",
       "      <td>02135</td>\n",
       "      <td>6177838866</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>829</th>\n",
       "      <td>Thrive Pet Healthcare - Natick</td>\n",
       "      <td>121 W CENTRAL ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>NATICK</td>\n",
       "      <td>01760</td>\n",
       "      <td>5086535020</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>830</th>\n",
       "      <td>CAPE ANN VETERINARY HOSPITAL</td>\n",
       "      <td>462 ESSEX AVE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>GLOUCESTER</td>\n",
       "      <td>01930</td>\n",
       "      <td>9782833238</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>842</th>\n",
       "      <td>TLC Animal Hospital - Rehoboth</td>\n",
       "      <td>245 WINTHROP ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>REHOBOTH</td>\n",
       "      <td>02769</td>\n",
       "      <td>5082523608</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>901</th>\n",
       "      <td>HOLYOKE ANIMAL HOSPITAL</td>\n",
       "      <td>320 EASTHAMPTON RD</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>HOLYOKE</td>\n",
       "      <td>01040</td>\n",
       "      <td>4135388700</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>957</th>\n",
       "      <td>Second Chance Animal Services: Worcester</td>\n",
       "      <td>831 MAIN ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>WORCESTER</td>\n",
       "      <td>01610</td>\n",
       "      <td>7742431234</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1068</th>\n",
       "      <td>AMBULATORY VET PRACTICE</td>\n",
       "      <td>56 VILLAGE XING</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>FITCHBURG</td>\n",
       "      <td>01420</td>\n",
       "      <td>9783439462</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1127</th>\n",
       "      <td>CHICOPEE ANIMAL CLINIC</td>\n",
       "      <td>37 MONTGOMERY ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>CHICOPEE</td>\n",
       "      <td>01020</td>\n",
       "      <td>4135927997</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   clinic_name              address1  \\\n",
       "0               MASSACHUSETTS VET MEDICAL ASSN      163 LAKESIDE AVE   \n",
       "4                           SKIPTON VET CLINIC     70 SOUTHAMPTON ST   \n",
       "98                     NORWOOD ANIMAL HOSPITAL        437 WALPOLE ST   \n",
       "173                     COMPASSIONATE CARE VET        1147 N MAIN ST   \n",
       "208                  A House Call Vet - Weston         514 NORTH AVE   \n",
       "592                Better Vet Boston-Dr Sidley  60 MASSACHUSETTS AVE   \n",
       "685         DIGIOVANNI MARIA DVM ANIMAL CLINIC        86 CHESTNUT ST   \n",
       "690                         SURFACE LOGIX Inc.  50 SOLDIERS FIELD PL   \n",
       "829             Thrive Pet Healthcare - Natick      121 W CENTRAL ST   \n",
       "830               CAPE ANN VETERINARY HOSPITAL         462 ESSEX AVE   \n",
       "842             TLC Animal Hospital - Rehoboth       245 WINTHROP ST   \n",
       "901                    HOLYOKE ANIMAL HOSPITAL    320 EASTHAMPTON RD   \n",
       "957   Second Chance Animal Services: Worcester           831 MAIN ST   \n",
       "1068                   AMBULATORY VET PRACTICE       56 VILLAGE XING   \n",
       "1127                    CHICOPEE ANIMAL CLINIC      37 MONTGOMERY ST   \n",
       "\n",
       "                   adress2 state         city    zip       phone  practiceHub  \\\n",
       "0            CHARITIES INC    MA  MARLBOROUGH  01752  5084609333            0   \n",
       "4                      NaN    MA       BOSTON  02118  6178770973            0   \n",
       "98                     NaN    MA      NORWOOD  02062  7817693011            0   \n",
       "173   FOR THE LOVE OF CATS    MA     RANDOLPH  02368  7819860900            1   \n",
       "208                    NaN    MA       WESTON  02493  8884147297            0   \n",
       "592                    NaN    MA       BOSTON  02115  6179396144            0   \n",
       "685                    NaN    MA    BROOKLINE  02445  6172323527            1   \n",
       "690                    NaN    MA     BRIGHTON  02135  6177838866            0   \n",
       "829                    NaN    MA       NATICK  01760  5086535020            0   \n",
       "830                    NaN    MA   GLOUCESTER  01930  9782833238            0   \n",
       "842                    NaN    MA     REHOBOTH  02769  5082523608            0   \n",
       "901                    NaN    MA      HOLYOKE  01040  4135388700            0   \n",
       "957                    NaN    MA    WORCESTER  01610  7742431234            0   \n",
       "1068                   NaN    MA    FITCHBURG  01420  9783439462            1   \n",
       "1127                   NaN    MA     CHICOPEE  01020  4135927997            0   \n",
       "\n",
       "      televet_services  accepts_insurance  ...  Exotic Food Animal  \\\n",
       "0                    0                  0  ...       0           1   \n",
       "4                    0                  0  ...       0           1   \n",
       "98                   0                  0  ...       0           1   \n",
       "173                  0                  1  ...       0           1   \n",
       "208                  0                  1  ...       0           1   \n",
       "592                  0                  1  ...       0           1   \n",
       "685                  0                  0  ...       0           1   \n",
       "690                  1                  1  ...       0           1   \n",
       "829                  0                  0  ...       0           1   \n",
       "830                  0                  1  ...       0           1   \n",
       "842                  0                  0  ...       0           1   \n",
       "901                  0                  0  ...       0           1   \n",
       "957                  0                  0  ...       0           1   \n",
       "1068                 0                  1  ...       0           1   \n",
       "1127                 0                  0  ...       0           1   \n",
       "\n",
       "     Reptile and Amphibian  Swine  Cardiology  Dermatology  Neurology  \\\n",
       "0                        0      1           0            0          0   \n",
       "4                        0      1           1            0          1   \n",
       "98                       0      1           1            0          0   \n",
       "173                      0      1           0            0          1   \n",
       "208                      0      1           1            0          0   \n",
       "592                      0      1           1            0          0   \n",
       "685                      0      1           1            1          0   \n",
       "690                      0      1           0            1          0   \n",
       "829                      0      1           0            0          0   \n",
       "830                      0      1           0            0          0   \n",
       "842                      0      1           0            0          1   \n",
       "901                      0      1           1            0          0   \n",
       "957                      0      1           0            1          0   \n",
       "1068                     0      1           0            0          0   \n",
       "1127                     0      1           0            1          0   \n",
       "\n",
       "      Nutrition  Oncology  Radiology  \n",
       "0             0         0          0  \n",
       "4             0         0          0  \n",
       "98            0         0          0  \n",
       "173           0         0          1  \n",
       "208           0         0          0  \n",
       "592           0         0          0  \n",
       "685           0         0          0  \n",
       "690           0         0          0  \n",
       "829           1         0          0  \n",
       "830           0         0          0  \n",
       "842           0         1          0  \n",
       "901           0         1          0  \n",
       "957           0         0          0  \n",
       "1068          0         1          1  \n",
       "1127          1         0          0  \n",
       "\n",
       "[15 rows x 28 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sw = df_lat_lon_explode[df_lat_lon_explode['Swine']==1]\n",
    "sw = sw[sw['Food Animal']==1]\n",
    "sw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "49b508a8",
   "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>clinic_name</th>\n",
       "      <th>address1</th>\n",
       "      <th>adress2</th>\n",
       "      <th>state</th>\n",
       "      <th>city</th>\n",
       "      <th>zip</th>\n",
       "      <th>phone</th>\n",
       "      <th>practiceHub</th>\n",
       "      <th>televet_services</th>\n",
       "      <th>accepts_insurance</th>\n",
       "      <th>...</th>\n",
       "      <th>Exotic</th>\n",
       "      <th>Food Animal</th>\n",
       "      <th>Reptile and Amphibian</th>\n",
       "      <th>Swine</th>\n",
       "      <th>Cardiology</th>\n",
       "      <th>Dermatology</th>\n",
       "      <th>Neurology</th>\n",
       "      <th>Nutrition</th>\n",
       "      <th>Oncology</th>\n",
       "      <th>Radiology</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>MASSACHUSETTS VET MEDICAL ASSN</td>\n",
       "      <td>163 LAKESIDE AVE</td>\n",
       "      <td>CHARITIES INC</td>\n",
       "      <td>MA</td>\n",
       "      <td>MARLBOROUGH</td>\n",
       "      <td>01752</td>\n",
       "      <td>5084609333</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>QUINCY ANIMAL SHELTER</td>\n",
       "      <td>43 THOMAS BURGIN PKWY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>QUINCY</td>\n",
       "      <td>02169</td>\n",
       "      <td>6174793080</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Countryside Animal Hospital - Granby</td>\n",
       "      <td>164 W STATE ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>GRANBY</td>\n",
       "      <td>01033</td>\n",
       "      <td>4134671300</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AGAWAM ANIMAL HOSPITAL</td>\n",
       "      <td>65 MILL ST</td>\n",
       "      <td>STE 1</td>\n",
       "      <td>MA</td>\n",
       "      <td>AGAWAM</td>\n",
       "      <td>01001</td>\n",
       "      <td>4137864440</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SKIPTON VET CLINIC</td>\n",
       "      <td>70 SOUTHAMPTON ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02118</td>\n",
       "      <td>6178770973</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\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>1180</th>\n",
       "      <td>Caroline Winn, DVM</td>\n",
       "      <td>17 MAPLE ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>SCITUATE</td>\n",
       "      <td>02066</td>\n",
       "      <td>6315611580</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>Bond Vet - Seaport Boston</td>\n",
       "      <td>117 AUTUMN LN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02210</td>\n",
       "      <td>6173028389</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>PetMedic Urgent Care Westborough</td>\n",
       "      <td>1 Oak St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>Westborough</td>\n",
       "      <td>01581</td>\n",
       "      <td>5085254844</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183</th>\n",
       "      <td>Matthew K. Hogan</td>\n",
       "      <td>115 MILL ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BELMONT</td>\n",
       "      <td>02478</td>\n",
       "      <td>6175841434</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1184</th>\n",
       "      <td>THE CAT HOSPITAL- Northhampton</td>\n",
       "      <td>139 DAMON RD</td>\n",
       "      <td>STE C</td>\n",
       "      <td>MA</td>\n",
       "      <td>NORTHAMPTON</td>\n",
       "      <td>01060</td>\n",
       "      <td>4135862287</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>974 rows × 28 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               clinic_name               address1  \\\n",
       "0           MASSACHUSETTS VET MEDICAL ASSN       163 LAKESIDE AVE   \n",
       "1                    QUINCY ANIMAL SHELTER  43 THOMAS BURGIN PKWY   \n",
       "2     Countryside Animal Hospital - Granby         164 W STATE ST   \n",
       "3                   AGAWAM ANIMAL HOSPITAL             65 MILL ST   \n",
       "4                       SKIPTON VET CLINIC      70 SOUTHAMPTON ST   \n",
       "...                                    ...                    ...   \n",
       "1180                    Caroline Winn, DVM            17 MAPLE ST   \n",
       "1181             Bond Vet - Seaport Boston          117 AUTUMN LN   \n",
       "1182      PetMedic Urgent Care Westborough               1 Oak St   \n",
       "1183                      Matthew K. Hogan            115 MILL ST   \n",
       "1184        THE CAT HOSPITAL- Northhampton           139 DAMON RD   \n",
       "\n",
       "            adress2 state         city    zip       phone  practiceHub  \\\n",
       "0     CHARITIES INC    MA  MARLBOROUGH  01752  5084609333            0   \n",
       "1               NaN    MA       QUINCY  02169  6174793080            1   \n",
       "2               NaN    MA       GRANBY  01033  4134671300            0   \n",
       "3             STE 1    MA       AGAWAM  01001  4137864440            1   \n",
       "4               NaN    MA       BOSTON  02118  6178770973            0   \n",
       "...             ...   ...          ...    ...         ...          ...   \n",
       "1180            NaN    MA     SCITUATE  02066  6315611580            0   \n",
       "1181            NaN    MA       BOSTON  02210  6173028389            0   \n",
       "1182            NaN    MA  Westborough  01581  5085254844            0   \n",
       "1183            NaN    MA      BELMONT  02478  6175841434            0   \n",
       "1184          STE C    MA  NORTHAMPTON  01060  4135862287            0   \n",
       "\n",
       "      televet_services  accepts_insurance  ...  Exotic Food Animal  \\\n",
       "0                    0                  0  ...       0           1   \n",
       "1                    1                  0  ...       0           0   \n",
       "2                    0                  1  ...       0           0   \n",
       "3                    0                  1  ...       0           0   \n",
       "4                    0                  0  ...       0           1   \n",
       "...                ...                ...  ...     ...         ...   \n",
       "1180                 1                  1  ...       0           0   \n",
       "1181                 0                  0  ...       0           0   \n",
       "1182                 0                  1  ...       0           0   \n",
       "1183                 0                  0  ...       0           0   \n",
       "1184                 0                  1  ...       0           0   \n",
       "\n",
       "     Reptile and Amphibian  Swine  Cardiology  Dermatology  Neurology  \\\n",
       "0                        0      1           0            0          0   \n",
       "1                        0      0           0            0          0   \n",
       "2                        0      0           0            0          0   \n",
       "3                        0      0           0            0          0   \n",
       "4                        0      1           1            0          1   \n",
       "...                    ...    ...         ...          ...        ...   \n",
       "1180                     0      0           0            0          0   \n",
       "1181                     0      0           0            0          0   \n",
       "1182                     0      0           0            0          0   \n",
       "1183                     1      0           1            0          0   \n",
       "1184                     0      0           0            1          0   \n",
       "\n",
       "      Nutrition  Oncology  Radiology  \n",
       "0             0         0          0  \n",
       "1             0         0          0  \n",
       "2             1         1          0  \n",
       "3             1         1          0  \n",
       "4             0         0          0  \n",
       "...         ...       ...        ...  \n",
       "1180          0         1          1  \n",
       "1181          0         1          0  \n",
       "1182          0         0          0  \n",
       "1183          0         0          0  \n",
       "1184          0         0          0  \n",
       "\n",
       "[974 rows x 28 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#lat long\n",
    "#42.91, -70.727691 top right\n",
    "#42.91, -73.479766 top left\n",
    "#41.18, -73.748931 bottom left\n",
    "#41.18, -69.903717 bottom right\n",
    "df_final = df_lat_lon_explode[df_lat_lon_explode['latitude'].astype(float) <= 42.91]\n",
    "df_final = df_final[df_final['latitude'].astype(float) >= 41.18]\n",
    "df_final = df_final[df_final['longitude'].astype(float) <= -69.903717]\n",
    "df_final = df_final[df_final['longitude'].astype(float) >= -73.748931]\n",
    "df_final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "aaa0bca9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final.to_json('final_clinic_data.json',orient=\"records\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "137a5807",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final.to_csv('final_clinic_data.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "7719d254",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['clinic_name', 'address1', 'adress2', 'state', 'city', 'zip', 'phone',\n",
       "       'practiceHub', 'televet_services', 'accepts_insurance',\n",
       "       'emergency_services', 'longitude', 'latitude', 'Avian', 'Beef Cattle',\n",
       "       'Canine and Feline', 'Dairy', 'Equine', 'Exotic', 'Food Animal',\n",
       "       'Reptile and Amphibian', 'Swine', 'Cardiology', 'Dermatology',\n",
       "       'Neurology', 'Nutrition', 'Oncology', 'Radiology'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "ec48ecc7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5934291581108829\n",
      "0.5255757923668372\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(0.5649977895667551, 0.5255757923668372, 0.47138635952481456, None)"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cols = ['practiceHub', 'televet_services', 'accepts_insurance',\n",
    "       'emergency_services','Avian', 'Beef Cattle',\n",
    "       'Canine and Feline', 'Dairy', 'Equine', 'Exotic', 'Food Animal',\n",
    "       'Reptile and Amphibian', 'Swine', 'Cardiology', 'Dermatology',\n",
    "       'Neurology', 'Nutrition', 'Oncology', 'Radiology']\n",
    "\n",
    "X = df_final[['televet_services','accepts_insurance',\n",
    "       'emergency_services','Avian', 'Beef Cattle','Swine',\n",
    "       'Canine and Feline', 'Dairy', 'Equine', 'Exotic', 'Food Animal',\n",
    "       'Reptile and Amphibian', 'Cardiology', 'Dermatology',\n",
    "       'Neurology', 'Nutrition', 'Oncology', 'Radiology']].values \n",
    "y = df_final['practiceHub'].values.ravel()\n",
    "from sklearn.metrics import precision_recall_fscore_support\n",
    "clf = LogisticRegression(random_state=0).fit(X, y)\n",
    "print(clf.score(X,y))\n",
    "print(roc_auc_score(y, clf.predict(X)))\n",
    "precision_recall_fscore_support(y, clf.predict(X), average='macro')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "98ea138c",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(df_final[['practiceHub', 'televet_services','accepts_insurance',\n",
    "       'emergency_services','Avian', 'Beef Cattle',\n",
    "       'Canine and Feline', 'Dairy', 'Equine', 'Exotic', 'Food Animal',\n",
    "       'Reptile and Amphibian', 'Swine', 'Cardiology', 'Dermatology',\n",
    "       'Neurology', 'Nutrition', 'Oncology', 'Radiology']].corr(), annot=True)\n",
    "\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(18,10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "eb8665cf",
   "metadata": {
    "scrolled": true
   },
   "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>clinic_name</th>\n",
       "      <th>address1</th>\n",
       "      <th>adress2</th>\n",
       "      <th>state</th>\n",
       "      <th>city</th>\n",
       "      <th>zip</th>\n",
       "      <th>phone</th>\n",
       "      <th>practiceHub</th>\n",
       "      <th>televet_services</th>\n",
       "      <th>accepts_insurance</th>\n",
       "      <th>...</th>\n",
       "      <th>Dermatology</th>\n",
       "      <th>Neurology</th>\n",
       "      <th>Nutrition</th>\n",
       "      <th>Oncology</th>\n",
       "      <th>Radiology</th>\n",
       "      <th>from_address</th>\n",
       "      <th>from_zip</th>\n",
       "      <th>walking_time</th>\n",
       "      <th>public_transit_time</th>\n",
       "      <th>driving_time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BetterVet - All Locations</td>\n",
       "      <td>60 MASSACHUSETTS AVE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02115</td>\n",
       "      <td>8887881165</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50 Leon Street</td>\n",
       "      <td>02115</td>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Better Vet</td>\n",
       "      <td>16 MASSACHUSETTS AVE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02115</td>\n",
       "      <td>6178308013</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50 Leon Street</td>\n",
       "      <td>02115</td>\n",
       "      <td>22</td>\n",
       "      <td>20</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cantor clinic</td>\n",
       "      <td>44 BINNEY ST</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02115</td>\n",
       "      <td>6178691717</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50 Leon Street</td>\n",
       "      <td>02115</td>\n",
       "      <td>20</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>HARVARD UNIVERSITY</td>\n",
       "      <td>665 Huntington Ave</td>\n",
       "      <td>SCHOOL OF PUBLIC HEALTH BLDG 1</td>\n",
       "      <td>MA</td>\n",
       "      <td>Boston</td>\n",
       "      <td>02115</td>\n",
       "      <td>6174321201</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50 Leon Street</td>\n",
       "      <td>02115</td>\n",
       "      <td>14</td>\n",
       "      <td>9</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Back Bay Veterinary Clinic</td>\n",
       "      <td>288 Newbury St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>Boston</td>\n",
       "      <td>02115</td>\n",
       "      <td>6172472273</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50 Leon Street</td>\n",
       "      <td>02115</td>\n",
       "      <td>21</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Better Vet Boston-Dr Sidley</td>\n",
       "      <td>60 MASSACHUSETTS AVE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02115</td>\n",
       "      <td>6179396144</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50 Leon Street</td>\n",
       "      <td>02115</td>\n",
       "      <td>20</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>DEACONESS MED CENTER RCV DOCK B I</td>\n",
       "      <td>77 AVENUE LOUIS PASTEUR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>MA</td>\n",
       "      <td>BOSTON</td>\n",
       "      <td>02115</td>\n",
       "      <td>6177542225</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>50 Leon Street</td>\n",
       "      <td>02115</td>\n",
       "      <td>16</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Vetcall - Boston</td>\n",
       "      <td>304 Commonwealth Ave</td>\n",
       "      <td>Apt 1A</td>\n",
       "      <td>MA</td>\n",
       "      <td>Boston</td>\n",
       "      <td>02115</td>\n",
       "      <td>8573627270</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50 Leon Street</td>\n",
       "      <td>02115</td>\n",
       "      <td>22</td>\n",
       "      <td>17</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         clinic_name                 address1  \\\n",
       "0          BetterVet - All Locations     60 MASSACHUSETTS AVE   \n",
       "1                         Better Vet     16 MASSACHUSETTS AVE   \n",
       "2                      Cantor clinic             44 BINNEY ST   \n",
       "3                 HARVARD UNIVERSITY       665 Huntington Ave   \n",
       "4         Back Bay Veterinary Clinic           288 Newbury St   \n",
       "5        Better Vet Boston-Dr Sidley     60 MASSACHUSETTS AVE   \n",
       "6  DEACONESS MED CENTER RCV DOCK B I  77 AVENUE LOUIS PASTEUR   \n",
       "7                   Vetcall - Boston     304 Commonwealth Ave   \n",
       "\n",
       "                          adress2 state    city    zip       phone  \\\n",
       "0                             NaN    MA  BOSTON  02115  8887881165   \n",
       "1                             NaN    MA  BOSTON  02115  6178308013   \n",
       "2                             NaN    MA  BOSTON  02115  6178691717   \n",
       "3  SCHOOL OF PUBLIC HEALTH BLDG 1    MA  Boston  02115  6174321201   \n",
       "4                             NaN    MA  Boston  02115  6172472273   \n",
       "5                             NaN    MA  BOSTON  02115  6179396144   \n",
       "6                             NaN    MA  BOSTON  02115  6177542225   \n",
       "7                          Apt 1A    MA  Boston  02115  8573627270   \n",
       "\n",
       "   practiceHub  televet_services  accepts_insurance  ...  Dermatology  \\\n",
       "0            1                 0                  1  ...            0   \n",
       "1            0                 1                  1  ...            0   \n",
       "2            0                 0                  0  ...            0   \n",
       "3            1                 0                  0  ...            0   \n",
       "4            1                 0                  0  ...            0   \n",
       "5            0                 0                  1  ...            0   \n",
       "6            1                 0                  1  ...            0   \n",
       "7            0                 0                  1  ...            0   \n",
       "\n",
       "   Neurology  Nutrition  Oncology  Radiology    from_address  from_zip  \\\n",
       "0          0          0         0          0  50 Leon Street     02115   \n",
       "1          1          1         0          0  50 Leon Street     02115   \n",
       "2          0          0         0          0  50 Leon Street     02115   \n",
       "3          0          0         0          0  50 Leon Street     02115   \n",
       "4          0          0         0          0  50 Leon Street     02115   \n",
       "5          0          0         0          0  50 Leon Street     02115   \n",
       "6          0          1         1          0  50 Leon Street     02115   \n",
       "7          0          0         0          0  50 Leon Street     02115   \n",
       "\n",
       "   walking_time  public_transit_time  driving_time  \n",
       "0            20                   19            10  \n",
       "1            22                   20            14  \n",
       "2            20                   14             9  \n",
       "3            14                    9            12  \n",
       "4            21                   16             8  \n",
       "5            20                   19            10  \n",
       "6            16                   11             6  \n",
       "7            22                   17            12  \n",
       "\n",
       "[8 rows x 33 columns]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_02215 = pd.read_csv('02215.csv',dtype={'from_zip':str,'zip':str})\n",
    "df_02215['zip'] = '0' + df_02215['zip']\n",
    "df_02215"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "cf16efd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_02215.to_json('02215.json',orient=\"records\")"
   ]
  }
 ],
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