src/04_Exploratory_Data_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from config import plotly_id, plotly_key\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import sqlite3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#creating SQL connection\n",
    "conn = sqlite3.connect('../Data/pet_care_industry.db')\n",
    "c = conn.cursor()\n",
    "\n",
    "#function to close connection\n",
    "def close_c_conn():\n",
    "    c.close()\n",
    "    conn.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis (EDA): Competitor Concentration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Rating</th>\n",
       "      <th>Review_Count</th>\n",
       "      <th>ZipCode</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Borough</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name</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>NYC Pet</th>\n",
       "      <td>2.5</td>\n",
       "      <td>15</td>\n",
       "      <td>11211</td>\n",
       "      <td>Greenpoint</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NYC Pet</th>\n",
       "      <td>5.0</td>\n",
       "      <td>8</td>\n",
       "      <td>11211</td>\n",
       "      <td>Greenpoint</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petland Discounts</th>\n",
       "      <td>3.5</td>\n",
       "      <td>6</td>\n",
       "      <td>11237</td>\n",
       "      <td>Bushwick and Williamsburg</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Park slope Pet</th>\n",
       "      <td>5.0</td>\n",
       "      <td>10</td>\n",
       "      <td>11215</td>\n",
       "      <td>Northwest Brooklyn</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petland Discounts</th>\n",
       "      <td>3.0</td>\n",
       "      <td>19</td>\n",
       "      <td>11216</td>\n",
       "      <td>Central Brooklyn</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pet Central</th>\n",
       "      <td>3.5</td>\n",
       "      <td>6</td>\n",
       "      <td>10128</td>\n",
       "      <td>Upper East Side</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petland Discounts</th>\n",
       "      <td>2.5</td>\n",
       "      <td>9</td>\n",
       "      <td>11206</td>\n",
       "      <td>Bushwick and Williamsburg</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pet Valu</th>\n",
       "      <td>3.0</td>\n",
       "      <td>14</td>\n",
       "      <td>7002</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Slope Pet Food Supplies, Inc</th>\n",
       "      <td>5.0</td>\n",
       "      <td>8</td>\n",
       "      <td>11215</td>\n",
       "      <td>Northwest Brooklyn</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dee's Pet Food</th>\n",
       "      <td>4.5</td>\n",
       "      <td>14</td>\n",
       "      <td>11238</td>\n",
       "      <td>Central Brooklyn</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Citipups Village</th>\n",
       "      <td>3.0</td>\n",
       "      <td>87</td>\n",
       "      <td>10014</td>\n",
       "      <td>Greenwich Village and Soho</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pets Unlimited Ltd</th>\n",
       "      <td>1.5</td>\n",
       "      <td>35</td>\n",
       "      <td>11104</td>\n",
       "      <td>Northwest Queens</td>\n",
       "      <td>Queens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PetSmart</th>\n",
       "      <td>2.0</td>\n",
       "      <td>94</td>\n",
       "      <td>7094</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petland Discounts</th>\n",
       "      <td>3.5</td>\n",
       "      <td>5</td>\n",
       "      <td>7093</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petland Discounts</th>\n",
       "      <td>3.5</td>\n",
       "      <td>4</td>\n",
       "      <td>7306</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petland Discounts</th>\n",
       "      <td>2.5</td>\n",
       "      <td>11</td>\n",
       "      <td>11226</td>\n",
       "      <td>Flatbush</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petland Discounts</th>\n",
       "      <td>3.0</td>\n",
       "      <td>4</td>\n",
       "      <td>7002</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Unleashed</th>\n",
       "      <td>3.5</td>\n",
       "      <td>33</td>\n",
       "      <td>10065</td>\n",
       "      <td>Upper East Side</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ABC Pet Supply</th>\n",
       "      <td>2.5</td>\n",
       "      <td>21</td>\n",
       "      <td>11215</td>\n",
       "      <td>Northwest Brooklyn</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petland Discounts</th>\n",
       "      <td>3.0</td>\n",
       "      <td>18</td>\n",
       "      <td>11385</td>\n",
       "      <td>West Central Queens</td>\n",
       "      <td>Queens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tropical Pets</th>\n",
       "      <td>2.5</td>\n",
       "      <td>5</td>\n",
       "      <td>11368</td>\n",
       "      <td>West Queens</td>\n",
       "      <td>Queens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Citipups Chelsea</th>\n",
       "      <td>3.0</td>\n",
       "      <td>118</td>\n",
       "      <td>10011</td>\n",
       "      <td>Chelsea and Clinton</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Broadway Pigeon &amp; Pets Supplies</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>11207</td>\n",
       "      <td>East New York and New Lots</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canine Styles - Westside</th>\n",
       "      <td>3.0</td>\n",
       "      <td>35</td>\n",
       "      <td>10024</td>\n",
       "      <td>Upper West Side</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petco</th>\n",
       "      <td>3.0</td>\n",
       "      <td>104</td>\n",
       "      <td>10028</td>\n",
       "      <td>Upper East Side</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petco</th>\n",
       "      <td>2.5</td>\n",
       "      <td>72</td>\n",
       "      <td>10025</td>\n",
       "      <td>Upper West Side</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brooklyn Cat Cafe</th>\n",
       "      <td>4.0</td>\n",
       "      <td>78</td>\n",
       "      <td>11201</td>\n",
       "      <td>Northwest Brooklyn</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petland Discounts</th>\n",
       "      <td>2.5</td>\n",
       "      <td>14</td>\n",
       "      <td>11372</td>\n",
       "      <td>West Queens</td>\n",
       "      <td>Queens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Animal Kingdom Pets</th>\n",
       "      <td>2.5</td>\n",
       "      <td>3</td>\n",
       "      <td>10312</td>\n",
       "      <td>South Shore</td>\n",
       "      <td>Staten Island</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cafe Bark</th>\n",
       "      <td>4.5</td>\n",
       "      <td>27</td>\n",
       "      <td>10033</td>\n",
       "      <td>Inwood and Washington Heights</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>David &amp; Rachel Pet Care</th>\n",
       "      <td>5.0</td>\n",
       "      <td>4</td>\n",
       "      <td>11218</td>\n",
       "      <td>Borough Park</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Caribbean Pets</th>\n",
       "      <td>2.5</td>\n",
       "      <td>12</td>\n",
       "      <td>7307</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Furry Fiends 2</th>\n",
       "      <td>4.5</td>\n",
       "      <td>9</td>\n",
       "      <td>10040</td>\n",
       "      <td>Inwood and Washington Heights</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fetch! Pet Care</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3</td>\n",
       "      <td>10603</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Petland Discounts</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>11413</td>\n",
       "      <td>Southeast Queens</td>\n",
       "      <td>Queens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pooches Always Walking</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>10465</td>\n",
       "      <td>Southeast Bronx</td>\n",
       "      <td>Bronx</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>La Bella Pooch Dog Training and Grooming</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1</td>\n",
       "      <td>11214</td>\n",
       "      <td>Southwest Brooklyn</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Boulevard Animal Clinic</th>\n",
       "      <td>2.0</td>\n",
       "      <td>38</td>\n",
       "      <td>11375</td>\n",
       "      <td>West Central Queens</td>\n",
       "      <td>Queens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Arcadia Pets</th>\n",
       "      <td>3.0</td>\n",
       "      <td>14</td>\n",
       "      <td>10312</td>\n",
       "      <td>South Shore</td>\n",
       "      <td>Staten Island</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Patti's Pampered Pups</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "      <td>11109</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Doggie Academy</th>\n",
       "      <td>5.0</td>\n",
       "      <td>14</td>\n",
       "      <td>11232</td>\n",
       "      <td>Sunset Park</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bark Avenue Grooming</th>\n",
       "      <td>5.0</td>\n",
       "      <td>34</td>\n",
       "      <td>10024</td>\n",
       "      <td>Upper West Side</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sunnyside Pet Healthcare Center</th>\n",
       "      <td>2.0</td>\n",
       "      <td>56</td>\n",
       "      <td>11104</td>\n",
       "      <td>Northwest Queens</td>\n",
       "      <td>Queens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Paw Prints</th>\n",
       "      <td>4.5</td>\n",
       "      <td>25</td>\n",
       "      <td>10023</td>\n",
       "      <td>Upper West Side</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Kennels</th>\n",
       "      <td>2.0</td>\n",
       "      <td>96</td>\n",
       "      <td>10065</td>\n",
       "      <td>Upper East Side</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Westside Animal Hospital</th>\n",
       "      <td>2.5</td>\n",
       "      <td>24</td>\n",
       "      <td>10036</td>\n",
       "      <td>Chelsea and Clinton</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ABC's of Dog Training LLC</th>\n",
       "      <td>4.0</td>\n",
       "      <td>8</td>\n",
       "      <td>11370</td>\n",
       "      <td>West Queens</td>\n",
       "      <td>Queens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Liberty Humane Society</th>\n",
       "      <td>3.5</td>\n",
       "      <td>53</td>\n",
       "      <td>7305</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queens Animal Health</th>\n",
       "      <td>2.5</td>\n",
       "      <td>93</td>\n",
       "      <td>11365</td>\n",
       "      <td>Central Queens</td>\n",
       "      <td>Queens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brownstone Veterinary Care</th>\n",
       "      <td>4.5</td>\n",
       "      <td>6</td>\n",
       "      <td>11218</td>\n",
       "      <td>Borough Park</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coco And Toto</th>\n",
       "      <td>3.0</td>\n",
       "      <td>63</td>\n",
       "      <td>10019</td>\n",
       "      <td>Chelsea and Clinton</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Club Barks</th>\n",
       "      <td>3.0</td>\n",
       "      <td>54</td>\n",
       "      <td>7302</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PetSmart</th>\n",
       "      <td>2.5</td>\n",
       "      <td>19</td>\n",
       "      <td>10010</td>\n",
       "      <td>Gramercy Park and Murray Hill</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bergen Veterinary Hospital</th>\n",
       "      <td>4.0</td>\n",
       "      <td>29</td>\n",
       "      <td>7666</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mon-Ami Dog Grooming</th>\n",
       "      <td>5.0</td>\n",
       "      <td>6</td>\n",
       "      <td>11354</td>\n",
       "      <td>North Queens</td>\n",
       "      <td>Queens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WufSter</th>\n",
       "      <td>5.0</td>\n",
       "      <td>8</td>\n",
       "      <td>7030</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canine Retreat by AKC - W42</th>\n",
       "      <td>3.5</td>\n",
       "      <td>4</td>\n",
       "      <td>10036</td>\n",
       "      <td>Chelsea and Clinton</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PetSmart</th>\n",
       "      <td>3.0</td>\n",
       "      <td>105</td>\n",
       "      <td>11201</td>\n",
       "      <td>Northwest Brooklyn</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Marine Park Veterinary Group</th>\n",
       "      <td>4.0</td>\n",
       "      <td>20</td>\n",
       "      <td>11234</td>\n",
       "      <td>Canarsie and Flatlands</td>\n",
       "      <td>Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Academy of Pet Grooming</th>\n",
       "      <td>3.5</td>\n",
       "      <td>32</td>\n",
       "      <td>10010</td>\n",
       "      <td>Gramercy Park and Murray Hill</td>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1502 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          Rating  Review_Count  ZipCode  \\\n",
       "Name                                                                      \n",
       "NYC Pet                                      2.5            15    11211   \n",
       "NYC Pet                                      5.0             8    11211   \n",
       "Petland Discounts                            3.5             6    11237   \n",
       "Park slope Pet                               5.0            10    11215   \n",
       "Petland Discounts                            3.0            19    11216   \n",
       "Pet Central                                  3.5             6    10128   \n",
       "Petland Discounts                            2.5             9    11206   \n",
       "Pet Valu                                     3.0            14     7002   \n",
       "Slope Pet Food Supplies, Inc                 5.0             8    11215   \n",
       "Dee's Pet Food                               4.5            14    11238   \n",
       "Citipups Village                             3.0            87    10014   \n",
       "Pets Unlimited Ltd                           1.5            35    11104   \n",
       "PetSmart                                     2.0            94     7094   \n",
       "Petland Discounts                            3.5             5     7093   \n",
       "Petland Discounts                            3.5             4     7306   \n",
       "Petland Discounts                            2.5            11    11226   \n",
       "Petland Discounts                            3.0             4     7002   \n",
       "Unleashed                                    3.5            33    10065   \n",
       "ABC Pet Supply                               2.5            21    11215   \n",
       "Petland Discounts                            3.0            18    11385   \n",
       "Tropical Pets                                2.5             5    11368   \n",
       "Citipups Chelsea                             3.0           118    10011   \n",
       "Broadway Pigeon & Pets Supplies              4.0             1    11207   \n",
       "Canine Styles - Westside                     3.0            35    10024   \n",
       "Petco                                        3.0           104    10028   \n",
       "Petco                                        2.5            72    10025   \n",
       "Brooklyn Cat Cafe                            4.0            78    11201   \n",
       "Petland Discounts                            2.5            14    11372   \n",
       "Animal Kingdom Pets                          2.5             3    10312   \n",
       "Cafe Bark                                    4.5            27    10033   \n",
       "...                                          ...           ...      ...   \n",
       "David & Rachel Pet Care                      5.0             4    11218   \n",
       "Caribbean Pets                               2.5            12     7307   \n",
       "Furry Fiends 2                               4.5             9    10040   \n",
       "Fetch! Pet Care                              5.0             3    10603   \n",
       "Petland Discounts                            3.0             3    11413   \n",
       "Pooches Always Walking                       5.0             1    10465   \n",
       "La Bella Pooch Dog Training and Grooming     4.0             1    11214   \n",
       "Boulevard Animal Clinic                      2.0            38    11375   \n",
       "Arcadia Pets                                 3.0            14    10312   \n",
       "Patti's Pampered Pups                        5.0             1    11109   \n",
       "Doggie Academy                               5.0            14    11232   \n",
       "Bark Avenue Grooming                         5.0            34    10024   \n",
       "Sunnyside Pet Healthcare Center              2.0            56    11104   \n",
       "Paw Prints                                   4.5            25    10023   \n",
       "American Kennels                             2.0            96    10065   \n",
       "Westside Animal Hospital                     2.5            24    10036   \n",
       "ABC's of Dog Training LLC                    4.0             8    11370   \n",
       "Liberty Humane Society                       3.5            53     7305   \n",
       "Queens Animal Health                         2.5            93    11365   \n",
       "Brownstone Veterinary Care                   4.5             6    11218   \n",
       "Coco And Toto                                3.0            63    10019   \n",
       "Club Barks                                   3.0            54     7302   \n",
       "PetSmart                                     2.5            19    10010   \n",
       "Bergen Veterinary Hospital                   4.0            29     7666   \n",
       "Mon-Ami Dog Grooming                         5.0             6    11354   \n",
       "WufSter                                      5.0             8     7030   \n",
       "Canine Retreat by AKC - W42                  3.5             4    10036   \n",
       "PetSmart                                     3.0           105    11201   \n",
       "Marine Park Veterinary Group                 4.0            20    11234   \n",
       "American Academy of Pet Grooming             3.5            32    10010   \n",
       "\n",
       "                                                           Neighborhood  \\\n",
       "Name                                                                      \n",
       "NYC Pet                                                      Greenpoint   \n",
       "NYC Pet                                                      Greenpoint   \n",
       "Petland Discounts                             Bushwick and Williamsburg   \n",
       "Park slope Pet                                       Northwest Brooklyn   \n",
       "Petland Discounts                                      Central Brooklyn   \n",
       "Pet Central                                             Upper East Side   \n",
       "Petland Discounts                             Bushwick and Williamsburg   \n",
       "Pet Valu                                                           None   \n",
       "Slope Pet Food Supplies, Inc                         Northwest Brooklyn   \n",
       "Dee's Pet Food                                         Central Brooklyn   \n",
       "Citipups Village                             Greenwich Village and Soho   \n",
       "Pets Unlimited Ltd                                     Northwest Queens   \n",
       "PetSmart                                                           None   \n",
       "Petland Discounts                                                  None   \n",
       "Petland Discounts                                                  None   \n",
       "Petland Discounts                                              Flatbush   \n",
       "Petland Discounts                                                  None   \n",
       "Unleashed                                               Upper East Side   \n",
       "ABC Pet Supply                                       Northwest Brooklyn   \n",
       "Petland Discounts                                   West Central Queens   \n",
       "Tropical Pets                                               West Queens   \n",
       "Citipups Chelsea                                    Chelsea and Clinton   \n",
       "Broadway Pigeon & Pets Supplies              East New York and New Lots   \n",
       "Canine Styles - Westside                                Upper West Side   \n",
       "Petco                                                   Upper East Side   \n",
       "Petco                                                   Upper West Side   \n",
       "Brooklyn Cat Cafe                                    Northwest Brooklyn   \n",
       "Petland Discounts                                           West Queens   \n",
       "Animal Kingdom Pets                                         South Shore   \n",
       "Cafe Bark                                 Inwood and Washington Heights   \n",
       "...                                                                 ...   \n",
       "David & Rachel Pet Care                                    Borough Park   \n",
       "Caribbean Pets                                                     None   \n",
       "Furry Fiends 2                            Inwood and Washington Heights   \n",
       "Fetch! Pet Care                                                    None   \n",
       "Petland Discounts                                      Southeast Queens   \n",
       "Pooches Always Walking                                  Southeast Bronx   \n",
       "La Bella Pooch Dog Training and Grooming             Southwest Brooklyn   \n",
       "Boulevard Animal Clinic                             West Central Queens   \n",
       "Arcadia Pets                                                South Shore   \n",
       "Patti's Pampered Pups                                              None   \n",
       "Doggie Academy                                              Sunset Park   \n",
       "Bark Avenue Grooming                                    Upper West Side   \n",
       "Sunnyside Pet Healthcare Center                        Northwest Queens   \n",
       "Paw Prints                                              Upper West Side   \n",
       "American Kennels                                        Upper East Side   \n",
       "Westside Animal Hospital                            Chelsea and Clinton   \n",
       "ABC's of Dog Training LLC                                   West Queens   \n",
       "Liberty Humane Society                                             None   \n",
       "Queens Animal Health                                     Central Queens   \n",
       "Brownstone Veterinary Care                                 Borough Park   \n",
       "Coco And Toto                                       Chelsea and Clinton   \n",
       "Club Barks                                                         None   \n",
       "PetSmart                                  Gramercy Park and Murray Hill   \n",
       "Bergen Veterinary Hospital                                         None   \n",
       "Mon-Ami Dog Grooming                                       North Queens   \n",
       "WufSter                                                            None   \n",
       "Canine Retreat by AKC - W42                         Chelsea and Clinton   \n",
       "PetSmart                                             Northwest Brooklyn   \n",
       "Marine Park Veterinary Group                     Canarsie and Flatlands   \n",
       "American Academy of Pet Grooming          Gramercy Park and Murray Hill   \n",
       "\n",
       "                                                Borough  \n",
       "Name                                                     \n",
       "NYC Pet                                        Brooklyn  \n",
       "NYC Pet                                        Brooklyn  \n",
       "Petland Discounts                              Brooklyn  \n",
       "Park slope Pet                                 Brooklyn  \n",
       "Petland Discounts                              Brooklyn  \n",
       "Pet Central                                   Manhattan  \n",
       "Petland Discounts                              Brooklyn  \n",
       "Pet Valu                                           None  \n",
       "Slope Pet Food Supplies, Inc                   Brooklyn  \n",
       "Dee's Pet Food                                 Brooklyn  \n",
       "Citipups Village                              Manhattan  \n",
       "Pets Unlimited Ltd                               Queens  \n",
       "PetSmart                                           None  \n",
       "Petland Discounts                                  None  \n",
       "Petland Discounts                                  None  \n",
       "Petland Discounts                              Brooklyn  \n",
       "Petland Discounts                                  None  \n",
       "Unleashed                                     Manhattan  \n",
       "ABC Pet Supply                                 Brooklyn  \n",
       "Petland Discounts                                Queens  \n",
       "Tropical Pets                                    Queens  \n",
       "Citipups Chelsea                              Manhattan  \n",
       "Broadway Pigeon & Pets Supplies                Brooklyn  \n",
       "Canine Styles - Westside                      Manhattan  \n",
       "Petco                                         Manhattan  \n",
       "Petco                                         Manhattan  \n",
       "Brooklyn Cat Cafe                              Brooklyn  \n",
       "Petland Discounts                                Queens  \n",
       "Animal Kingdom Pets                       Staten Island  \n",
       "Cafe Bark                                     Manhattan  \n",
       "...                                                 ...  \n",
       "David & Rachel Pet Care                        Brooklyn  \n",
       "Caribbean Pets                                     None  \n",
       "Furry Fiends 2                                Manhattan  \n",
       "Fetch! Pet Care                                    None  \n",
       "Petland Discounts                                Queens  \n",
       "Pooches Always Walking                            Bronx  \n",
       "La Bella Pooch Dog Training and Grooming       Brooklyn  \n",
       "Boulevard Animal Clinic                          Queens  \n",
       "Arcadia Pets                              Staten Island  \n",
       "Patti's Pampered Pups                              None  \n",
       "Doggie Academy                                 Brooklyn  \n",
       "Bark Avenue Grooming                          Manhattan  \n",
       "Sunnyside Pet Healthcare Center                  Queens  \n",
       "Paw Prints                                    Manhattan  \n",
       "American Kennels                              Manhattan  \n",
       "Westside Animal Hospital                      Manhattan  \n",
       "ABC's of Dog Training LLC                        Queens  \n",
       "Liberty Humane Society                             None  \n",
       "Queens Animal Health                             Queens  \n",
       "Brownstone Veterinary Care                     Brooklyn  \n",
       "Coco And Toto                                 Manhattan  \n",
       "Club Barks                                         None  \n",
       "PetSmart                                      Manhattan  \n",
       "Bergen Veterinary Hospital                         None  \n",
       "Mon-Ami Dog Grooming                             Queens  \n",
       "WufSter                                            None  \n",
       "Canine Retreat by AKC - W42                   Manhattan  \n",
       "PetSmart                                       Brooklyn  \n",
       "Marine Park Veterinary Group                   Brooklyn  \n",
       "American Academy of Pet Grooming              Manhattan  \n",
       "\n",
       "[1502 rows x 5 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#joining business and neighborhood tables from SQL database\n",
    "businesses_neighborhoods = pd.read_sql_query('''SELECT\n",
    "    Name,\n",
    "    Rating,\n",
    "    Review_Count,\n",
    "    stores_and_services.ZipCode,\n",
    "    Neighborhood,\n",
    "    Borough\n",
    "    FROM stores_and_services\n",
    "    LEFT JOIN neighborhoods\n",
    "    ON stores_and_services.ZipCode = neighborhoods.ZipCode''', conn)\n",
    "\n",
    "businesses_neighborhoods = businesses_neighborhoods.set_index('Name')\n",
    "businesses_neighborhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>Rating</th>\n",
       "      <th>Review_Count</th>\n",
       "      <th>ZipCode</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1502.000000</td>\n",
       "      <td>1502.000000</td>\n",
       "      <td>1502.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.036618</td>\n",
       "      <td>30.506658</td>\n",
       "      <td>10028.626498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.945724</td>\n",
       "      <td>39.018705</td>\n",
       "      <td>2366.409873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6830.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.500000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>10003.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>4.500000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>10128.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>11217.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>384.000000</td>\n",
       "      <td>80301.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Rating  Review_Count       ZipCode\n",
       "count  1502.000000   1502.000000   1502.000000\n",
       "mean      4.036618     30.506658  10028.626498\n",
       "std       0.945724     39.018705   2366.409873\n",
       "min       1.000000      1.000000   6830.000000\n",
       "25%       3.500000      7.000000  10003.000000\n",
       "50%       4.500000     17.000000  10128.000000\n",
       "75%       5.000000     39.000000  11217.000000\n",
       "max       5.000000    384.000000  80301.000000"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "businesses_neighborhoods.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>Name</th>\n",
       "      <th>Stores</th>\n",
       "      <th>Share %</th>\n",
       "      <th>Concentration Index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Petco</td>\n",
       "      <td>46</td>\n",
       "      <td>3.062583</td>\n",
       "      <td>3.062583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Petland Discounts</td>\n",
       "      <td>43</td>\n",
       "      <td>2.862850</td>\n",
       "      <td>5.925433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PetSmart</td>\n",
       "      <td>26</td>\n",
       "      <td>1.731025</td>\n",
       "      <td>7.656458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Banfield Pet Hospital</td>\n",
       "      <td>18</td>\n",
       "      <td>1.198402</td>\n",
       "      <td>8.854860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Pet Valu</td>\n",
       "      <td>14</td>\n",
       "      <td>0.932091</td>\n",
       "      <td>9.786951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Pet Supplies Plus</td>\n",
       "      <td>13</td>\n",
       "      <td>0.865513</td>\n",
       "      <td>10.652463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Pet Central</td>\n",
       "      <td>9</td>\n",
       "      <td>0.599201</td>\n",
       "      <td>11.251664</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Biscuits &amp; Bath</td>\n",
       "      <td>9</td>\n",
       "      <td>0.599201</td>\n",
       "      <td>11.850866</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Name  Stores   Share %  Concentration Index\n",
       "1                  Petco      46  3.062583             3.062583\n",
       "2      Petland Discounts      43  2.862850             5.925433\n",
       "3               PetSmart      26  1.731025             7.656458\n",
       "4  Banfield Pet Hospital      18  1.198402             8.854860\n",
       "5               Pet Valu      14  0.932091             9.786951\n",
       "6      Pet Supplies Plus      13  0.865513            10.652463\n",
       "7            Pet Central       9  0.599201            11.251664\n",
       "8        Biscuits & Bath       9  0.599201            11.850866"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "concentration = businesses_neighborhoods.groupby('Name').size().reset_index(name='Stores')\n",
    "concentration = concentration.sort_values(by='Stores', ascending=False)\n",
    "concentration['Share %'] = concentration['Stores'] / concentration['Stores'].sum() * 100\n",
    "concentration['Concentration Index'] = concentration['Share %'].cumsum()\n",
    "concentration = concentration.reset_index()\n",
    "concentration = concentration.drop('index', axis=1)\n",
    "concentration.index = concentration.index + 1\n",
    "concentration.head(8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30.921930989485492"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HHI_industry = sum(concentration['Share %']**2)\n",
    "HHI_industry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Stores</th>\n",
       "      <th>Share %</th>\n",
       "      <th>Concentration Index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Northwest Brooklyn</td>\n",
       "      <td>94</td>\n",
       "      <td>9.055877</td>\n",
       "      <td>9.055877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chelsea and Clinton</td>\n",
       "      <td>79</td>\n",
       "      <td>7.610790</td>\n",
       "      <td>16.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Northwest Queens</td>\n",
       "      <td>73</td>\n",
       "      <td>7.032755</td>\n",
       "      <td>23.699422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Upper East Side</td>\n",
       "      <td>72</td>\n",
       "      <td>6.936416</td>\n",
       "      <td>30.635838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Upper West Side</td>\n",
       "      <td>65</td>\n",
       "      <td>6.262042</td>\n",
       "      <td>36.897881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Lower East Side</td>\n",
       "      <td>47</td>\n",
       "      <td>4.527938</td>\n",
       "      <td>41.425819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Greenpoint</td>\n",
       "      <td>44</td>\n",
       "      <td>4.238921</td>\n",
       "      <td>45.664740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Greenwich Village and Soho</td>\n",
       "      <td>44</td>\n",
       "      <td>4.238921</td>\n",
       "      <td>49.903661</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Neighborhood  Stores   Share %  Concentration Index\n",
       "1          Northwest Brooklyn      94  9.055877             9.055877\n",
       "2         Chelsea and Clinton      79  7.610790            16.666667\n",
       "3            Northwest Queens      73  7.032755            23.699422\n",
       "4             Upper East Side      72  6.936416            30.635838\n",
       "5             Upper West Side      65  6.262042            36.897881\n",
       "6             Lower East Side      47  4.527938            41.425819\n",
       "7                  Greenpoint      44  4.238921            45.664740\n",
       "8  Greenwich Village and Soho      44  4.238921            49.903661"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_concentration = businesses_neighborhoods.groupby('Neighborhood').size().reset_index(name='Stores')\n",
    "n_concentration = n_concentration.sort_values(by='Stores', ascending=False)\n",
    "n_concentration['Share %'] = n_concentration['Stores'] / n_concentration['Stores'].sum() * 100\n",
    "n_concentration['Concentration Index'] = n_concentration['Share %'].cumsum()\n",
    "n_concentration = n_concentration.reset_index()\n",
    "n_concentration = n_concentration.drop('index', axis=1)\n",
    "n_concentration.index = n_concentration.index + 1\n",
    "n_concentration.head(8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "447.5035361466582"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HHI_neighborhood = sum(n_concentration['Share %']**2)\n",
    "HHI_neighborhood"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploratory Data Analysis (EDA): Market Size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(42, 1)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Chelsea and Clinton</th>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lower East Side</th>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lower Manhattan</th>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gramercy Park and Murray Hill</th>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greenwich Village and Soho</th>\n",
       "      <td>Manhattan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Borough\n",
       "Neighborhood                            \n",
       "Chelsea and Clinton            Manhattan\n",
       "Lower East Side                Manhattan\n",
       "Lower Manhattan                Manhattan\n",
       "Gramercy Park and Murray Hill  Manhattan\n",
       "Greenwich Village and Soho     Manhattan"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#initialize dog growth table with unique list of neighborhoods\n",
    "key = 'Neighborhood'\n",
    "dog_growth = pd.read_sql_query('SELECT DISTINCT {}, Borough FROM neighborhoods'.format(key), conn)\n",
    "dog_growth = dog_growth.set_index(key)\n",
    "print(dog_growth.shape)\n",
    "dog_growth.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>Borough</th>\n",
       "      <th>CY2014</th>\n",
       "      <th>CY2015</th>\n",
       "      <th>CY2016</th>\n",
       "      <th>CY2017</th>\n",
       "      <th>CY2018</th>\n",
       "      <th>CY2019</th>\n",
       "      <th>CY2020</th>\n",
       "      <th>CY2021</th>\n",
       "      <th>CY2022</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Chelsea and Clinton</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>113</td>\n",
       "      <td>2312</td>\n",
       "      <td>5995</td>\n",
       "      <td>4163</td>\n",
       "      <td>904</td>\n",
       "      <td>448</td>\n",
       "      <td>310</td>\n",
       "      <td>157</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lower East Side</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>89</td>\n",
       "      <td>1817</td>\n",
       "      <td>4770</td>\n",
       "      <td>3273</td>\n",
       "      <td>657</td>\n",
       "      <td>327</td>\n",
       "      <td>184</td>\n",
       "      <td>92</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lower Manhattan</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>35</td>\n",
       "      <td>711</td>\n",
       "      <td>1779</td>\n",
       "      <td>1217</td>\n",
       "      <td>261</td>\n",
       "      <td>121</td>\n",
       "      <td>80</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gramercy Park and Murray Hill</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>73</td>\n",
       "      <td>1486</td>\n",
       "      <td>3912</td>\n",
       "      <td>2723</td>\n",
       "      <td>583</td>\n",
       "      <td>280</td>\n",
       "      <td>192</td>\n",
       "      <td>95</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greenwich Village and Soho</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>59</td>\n",
       "      <td>1155</td>\n",
       "      <td>3077</td>\n",
       "      <td>2180</td>\n",
       "      <td>485</td>\n",
       "      <td>244</td>\n",
       "      <td>173</td>\n",
       "      <td>87</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Upper East Side</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>126</td>\n",
       "      <td>2689</td>\n",
       "      <td>7265</td>\n",
       "      <td>5089</td>\n",
       "      <td>976</td>\n",
       "      <td>444</td>\n",
       "      <td>298</td>\n",
       "      <td>140</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Upper West Side</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>177</td>\n",
       "      <td>2807</td>\n",
       "      <td>7679</td>\n",
       "      <td>5484</td>\n",
       "      <td>1121</td>\n",
       "      <td>505</td>\n",
       "      <td>316</td>\n",
       "      <td>140</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Harlem</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>37</td>\n",
       "      <td>885</td>\n",
       "      <td>2268</td>\n",
       "      <td>1532</td>\n",
       "      <td>276</td>\n",
       "      <td>123</td>\n",
       "      <td>80</td>\n",
       "      <td>46</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East Harlem</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>25</td>\n",
       "      <td>779</td>\n",
       "      <td>2096</td>\n",
       "      <td>1422</td>\n",
       "      <td>248</td>\n",
       "      <td>127</td>\n",
       "      <td>88</td>\n",
       "      <td>48</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inwood and Washington Heights</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>42</td>\n",
       "      <td>1211</td>\n",
       "      <td>3161</td>\n",
       "      <td>2137</td>\n",
       "      <td>351</td>\n",
       "      <td>149</td>\n",
       "      <td>96</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stapleton and St. George</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>33</td>\n",
       "      <td>830</td>\n",
       "      <td>2352</td>\n",
       "      <td>1627</td>\n",
       "      <td>204</td>\n",
       "      <td>76</td>\n",
       "      <td>53</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Port Richmond</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>25</td>\n",
       "      <td>460</td>\n",
       "      <td>1249</td>\n",
       "      <td>836</td>\n",
       "      <td>120</td>\n",
       "      <td>47</td>\n",
       "      <td>29</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Shore</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>63</td>\n",
       "      <td>1803</td>\n",
       "      <td>5567</td>\n",
       "      <td>4025</td>\n",
       "      <td>454</td>\n",
       "      <td>175</td>\n",
       "      <td>104</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid-Island</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>32</td>\n",
       "      <td>637</td>\n",
       "      <td>1971</td>\n",
       "      <td>1413</td>\n",
       "      <td>151</td>\n",
       "      <td>73</td>\n",
       "      <td>49</td>\n",
       "      <td>31</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High Bridge and Morrisania</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>11</td>\n",
       "      <td>512</td>\n",
       "      <td>1302</td>\n",
       "      <td>824</td>\n",
       "      <td>92</td>\n",
       "      <td>46</td>\n",
       "      <td>30</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Bronx</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>8</td>\n",
       "      <td>506</td>\n",
       "      <td>1159</td>\n",
       "      <td>692</td>\n",
       "      <td>81</td>\n",
       "      <td>22</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hunts Point and Mott Haven</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>13</td>\n",
       "      <td>502</td>\n",
       "      <td>1273</td>\n",
       "      <td>816</td>\n",
       "      <td>93</td>\n",
       "      <td>30</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bronx Park and Fordham</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>13</td>\n",
       "      <td>668</td>\n",
       "      <td>1624</td>\n",
       "      <td>997</td>\n",
       "      <td>115</td>\n",
       "      <td>38</td>\n",
       "      <td>22</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southeast Bronx</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>44</td>\n",
       "      <td>1501</td>\n",
       "      <td>4259</td>\n",
       "      <td>2943</td>\n",
       "      <td>392</td>\n",
       "      <td>159</td>\n",
       "      <td>112</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kingsbridge and Riverdale</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>37</td>\n",
       "      <td>568</td>\n",
       "      <td>1573</td>\n",
       "      <td>1092</td>\n",
       "      <td>156</td>\n",
       "      <td>61</td>\n",
       "      <td>35</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northeast Bronx</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>14</td>\n",
       "      <td>475</td>\n",
       "      <td>1377</td>\n",
       "      <td>939</td>\n",
       "      <td>115</td>\n",
       "      <td>42</td>\n",
       "      <td>25</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southeast Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>19</td>\n",
       "      <td>509</td>\n",
       "      <td>1421</td>\n",
       "      <td>975</td>\n",
       "      <td>112</td>\n",
       "      <td>44</td>\n",
       "      <td>29</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northwest Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>59</td>\n",
       "      <td>1264</td>\n",
       "      <td>3402</td>\n",
       "      <td>2337</td>\n",
       "      <td>388</td>\n",
       "      <td>173</td>\n",
       "      <td>117</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northwest Brooklyn</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>139</td>\n",
       "      <td>2591</td>\n",
       "      <td>6728</td>\n",
       "      <td>4736</td>\n",
       "      <td>998</td>\n",
       "      <td>494</td>\n",
       "      <td>334</td>\n",
       "      <td>151</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Flatbush</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>13</td>\n",
       "      <td>741</td>\n",
       "      <td>1906</td>\n",
       "      <td>1236</td>\n",
       "      <td>168</td>\n",
       "      <td>55</td>\n",
       "      <td>31</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Borough Park</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>30</td>\n",
       "      <td>915</td>\n",
       "      <td>2540</td>\n",
       "      <td>1770</td>\n",
       "      <td>282</td>\n",
       "      <td>112</td>\n",
       "      <td>82</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bushwick and Williamsburg</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>31</td>\n",
       "      <td>1066</td>\n",
       "      <td>2562</td>\n",
       "      <td>1637</td>\n",
       "      <td>250</td>\n",
       "      <td>100</td>\n",
       "      <td>55</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East New York and New Lots</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>12</td>\n",
       "      <td>514</td>\n",
       "      <td>1273</td>\n",
       "      <td>784</td>\n",
       "      <td>61</td>\n",
       "      <td>26</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southwest Brooklyn</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>60</td>\n",
       "      <td>1145</td>\n",
       "      <td>3202</td>\n",
       "      <td>2226</td>\n",
       "      <td>293</td>\n",
       "      <td>122</td>\n",
       "      <td>76</td>\n",
       "      <td>45</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greenpoint</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>63</td>\n",
       "      <td>797</td>\n",
       "      <td>1979</td>\n",
       "      <td>1344</td>\n",
       "      <td>258</td>\n",
       "      <td>127</td>\n",
       "      <td>70</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Brooklyn</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>42</td>\n",
       "      <td>1132</td>\n",
       "      <td>2969</td>\n",
       "      <td>1996</td>\n",
       "      <td>327</td>\n",
       "      <td>154</td>\n",
       "      <td>84</td>\n",
       "      <td>34</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sunset Park</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>18</td>\n",
       "      <td>442</td>\n",
       "      <td>1184</td>\n",
       "      <td>816</td>\n",
       "      <td>138</td>\n",
       "      <td>54</td>\n",
       "      <td>34</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southern Brooklyn</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>48</td>\n",
       "      <td>1198</td>\n",
       "      <td>3277</td>\n",
       "      <td>2219</td>\n",
       "      <td>266</td>\n",
       "      <td>122</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canarsie and Flatlands</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>28</td>\n",
       "      <td>779</td>\n",
       "      <td>2077</td>\n",
       "      <td>1392</td>\n",
       "      <td>159</td>\n",
       "      <td>66</td>\n",
       "      <td>39</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>34</td>\n",
       "      <td>1060</td>\n",
       "      <td>3007</td>\n",
       "      <td>2079</td>\n",
       "      <td>266</td>\n",
       "      <td>120</td>\n",
       "      <td>82</td>\n",
       "      <td>49</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northeast Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>23</td>\n",
       "      <td>480</td>\n",
       "      <td>1464</td>\n",
       "      <td>1049</td>\n",
       "      <td>160</td>\n",
       "      <td>58</td>\n",
       "      <td>40</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>14</td>\n",
       "      <td>403</td>\n",
       "      <td>1143</td>\n",
       "      <td>804</td>\n",
       "      <td>112</td>\n",
       "      <td>43</td>\n",
       "      <td>27</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>53</td>\n",
       "      <td>1694</td>\n",
       "      <td>4452</td>\n",
       "      <td>2999</td>\n",
       "      <td>465</td>\n",
       "      <td>209</td>\n",
       "      <td>135</td>\n",
       "      <td>65</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Central Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>60</td>\n",
       "      <td>1330</td>\n",
       "      <td>3986</td>\n",
       "      <td>2842</td>\n",
       "      <td>384</td>\n",
       "      <td>164</td>\n",
       "      <td>103</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jamaica</th>\n",
       "      <td>Queens</td>\n",
       "      <td>21</td>\n",
       "      <td>646</td>\n",
       "      <td>1691</td>\n",
       "      <td>1114</td>\n",
       "      <td>135</td>\n",
       "      <td>50</td>\n",
       "      <td>35</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southwest Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>26</td>\n",
       "      <td>1078</td>\n",
       "      <td>2929</td>\n",
       "      <td>1969</td>\n",
       "      <td>294</td>\n",
       "      <td>135</td>\n",
       "      <td>91</td>\n",
       "      <td>49</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rockaways</th>\n",
       "      <td>Queens</td>\n",
       "      <td>17</td>\n",
       "      <td>424</td>\n",
       "      <td>1131</td>\n",
       "      <td>757</td>\n",
       "      <td>100</td>\n",
       "      <td>42</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     Borough  CY2014  CY2015  CY2016  CY2017  \\\n",
       "Neighborhood                                                                   \n",
       "Chelsea and Clinton                Manhattan     113    2312    5995    4163   \n",
       "Lower East Side                    Manhattan      89    1817    4770    3273   \n",
       "Lower Manhattan                    Manhattan      35     711    1779    1217   \n",
       "Gramercy Park and Murray Hill      Manhattan      73    1486    3912    2723   \n",
       "Greenwich Village and Soho         Manhattan      59    1155    3077    2180   \n",
       "Upper East Side                    Manhattan     126    2689    7265    5089   \n",
       "Upper West Side                    Manhattan     177    2807    7679    5484   \n",
       "Central Harlem                     Manhattan      37     885    2268    1532   \n",
       "East Harlem                        Manhattan      25     779    2096    1422   \n",
       "Inwood and Washington Heights      Manhattan      42    1211    3161    2137   \n",
       "Stapleton and St. George       Staten Island      33     830    2352    1627   \n",
       "Port Richmond                  Staten Island      25     460    1249     836   \n",
       "South Shore                    Staten Island      63    1803    5567    4025   \n",
       "Mid-Island                     Staten Island      32     637    1971    1413   \n",
       "High Bridge and Morrisania             Bronx      11     512    1302     824   \n",
       "Central Bronx                          Bronx       8     506    1159     692   \n",
       "Hunts Point and Mott Haven             Bronx      13     502    1273     816   \n",
       "Bronx Park and Fordham                 Bronx      13     668    1624     997   \n",
       "Southeast Bronx                        Bronx      44    1501    4259    2943   \n",
       "Kingsbridge and Riverdale              Bronx      37     568    1573    1092   \n",
       "Northeast Bronx                        Bronx      14     475    1377     939   \n",
       "Southeast Queens                      Queens      19     509    1421     975   \n",
       "Northwest Queens                      Queens      59    1264    3402    2337   \n",
       "Northwest Brooklyn                  Brooklyn     139    2591    6728    4736   \n",
       "Flatbush                            Brooklyn      13     741    1906    1236   \n",
       "Borough Park                        Brooklyn      30     915    2540    1770   \n",
       "Bushwick and Williamsburg           Brooklyn      31    1066    2562    1637   \n",
       "East New York and New Lots          Brooklyn      12     514    1273     784   \n",
       "Southwest Brooklyn                  Brooklyn      60    1145    3202    2226   \n",
       "Greenpoint                          Brooklyn      63     797    1979    1344   \n",
       "Central Brooklyn                    Brooklyn      42    1132    2969    1996   \n",
       "Sunset Park                         Brooklyn      18     442    1184     816   \n",
       "Southern Brooklyn                   Brooklyn      48    1198    3277    2219   \n",
       "Canarsie and Flatlands              Brooklyn      28     779    2077    1392   \n",
       "North Queens                          Queens      34    1060    3007    2079   \n",
       "Northeast Queens                      Queens      23     480    1464    1049   \n",
       "Central Queens                        Queens      14     403    1143     804   \n",
       "West Queens                           Queens      53    1694    4452    2999   \n",
       "West Central Queens                   Queens      60    1330    3986    2842   \n",
       "Jamaica                               Queens      21     646    1691    1114   \n",
       "Southwest Queens                      Queens      26    1078    2929    1969   \n",
       "Rockaways                             Queens      17     424    1131     757   \n",
       "\n",
       "                               CY2018  CY2019  CY2020  CY2021  CY2022  \n",
       "Neighborhood                                                           \n",
       "Chelsea and Clinton               904     448     310     157       2  \n",
       "Lower East Side                   657     327     184      92       1  \n",
       "Lower Manhattan                   261     121      80      38       0  \n",
       "Gramercy Park and Murray Hill     583     280     192      95       2  \n",
       "Greenwich Village and Soho        485     244     173      87       1  \n",
       "Upper East Side                   976     444     298     140       3  \n",
       "Upper West Side                  1121     505     316     140       5  \n",
       "Central Harlem                    276     123      80      46       3  \n",
       "East Harlem                       248     127      88      48       3  \n",
       "Inwood and Washington Heights     351     149      96      46       0  \n",
       "Stapleton and St. George          204      76      53      26       0  \n",
       "Port Richmond                     120      47      29      15       0  \n",
       "South Shore                       454     175     104      52       1  \n",
       "Mid-Island                        151      73      49      31       4  \n",
       "High Bridge and Morrisania         92      46      30      13       0  \n",
       "Central Bronx                      81      22      14       8       0  \n",
       "Hunts Point and Mott Haven         93      30      19       6       0  \n",
       "Bronx Park and Fordham            115      38      22      10       0  \n",
       "Southeast Bronx                   392     159     112      62       2  \n",
       "Kingsbridge and Riverdale         156      61      35      17       1  \n",
       "Northeast Bronx                   115      42      25      17       1  \n",
       "Southeast Queens                  112      44      29      12       1  \n",
       "Northwest Queens                  388     173     117      64       1  \n",
       "Northwest Brooklyn                998     494     334     151       6  \n",
       "Flatbush                          168      55      31      16       1  \n",
       "Borough Park                      282     112      82      45       0  \n",
       "Bushwick and Williamsburg         250     100      55      33       1  \n",
       "East New York and New Lots         61      26      16       8       1  \n",
       "Southwest Brooklyn                293     122      76      45       1  \n",
       "Greenpoint                        258     127      70      31       0  \n",
       "Central Brooklyn                  327     154      84      34       1  \n",
       "Sunset Park                       138      54      34      15       0  \n",
       "Southern Brooklyn                 266     122      76      41       2  \n",
       "Canarsie and Flatlands            159      66      39      19       0  \n",
       "North Queens                      266     120      82      49       1  \n",
       "Northeast Queens                  160      58      40      21       2  \n",
       "Central Queens                    112      43      27      14       2  \n",
       "West Queens                       465     209     135      65       1  \n",
       "West Central Queens               384     164     103      55       1  \n",
       "Jamaica                           135      50      35      17       0  \n",
       "Southwest Queens                  294     135      91      49       1  \n",
       "Rockaways                         100      42      19      10       0  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#function to select dogs by neighborhoods for a given year\n",
    "def get_dogs_by_year(year):\n",
    "    return pd.read_sql_query(\"\"\"SELECT {}, LicenseIssuedYear AS CY{}\n",
    "                                FROM dogs\n",
    "                                LEFT JOIN neighborhoods\n",
    "                                ON dogs.ZipCode = neighborhoods.ZipCode\n",
    "                                WHERE LicenseIssuedYear <= {}\n",
    "                                AND LicenseExpiredYear >= {};\"\"\".format(key, year, year, year), conn)\n",
    "\n",
    "for i in range(2014, 2023):\n",
    "    dog_growth = pd.merge(dog_growth, get_dogs_by_year(i).groupby(key).count(), on=key, how='left')\n",
    "    \n",
    "dog_growth['CY2022'] = dog_growth['CY2022'].fillna(0).astype(int)\n",
    "dog_growth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Borough    ManhattanManhattanManhattanManhattanManhattanM...\n",
       "CY2014                                                  1879\n",
       "CY2015                                                 44522\n",
       "CY2016                                                120031\n",
       "CY2017                                                 82505\n",
       "CY2018                                                 13451\n",
       "CY2019                                                  6007\n",
       "CY2020                                                  3884\n",
       "CY2021                                                  1940\n",
       "CY2022                                                    52\n",
       "dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total_market = dog_growth.sum()\n",
    "total_market"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>Borough</th>\n",
       "      <th>CY2014</th>\n",
       "      <th>CY2015</th>\n",
       "      <th>CY2016</th>\n",
       "      <th>CY2017</th>\n",
       "      <th>CY2018</th>\n",
       "      <th>CY2019</th>\n",
       "      <th>CY2020</th>\n",
       "      <th>CY2021</th>\n",
       "      <th>CY2022</th>\n",
       "      <th>5Y CAGR 2014-2019</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Southwest Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>26</td>\n",
       "      <td>1078</td>\n",
       "      <td>2929</td>\n",
       "      <td>1969</td>\n",
       "      <td>294</td>\n",
       "      <td>135</td>\n",
       "      <td>91</td>\n",
       "      <td>49</td>\n",
       "      <td>1</td>\n",
       "      <td>39.018335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East Harlem</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>25</td>\n",
       "      <td>779</td>\n",
       "      <td>2096</td>\n",
       "      <td>1422</td>\n",
       "      <td>248</td>\n",
       "      <td>127</td>\n",
       "      <td>88</td>\n",
       "      <td>48</td>\n",
       "      <td>3</td>\n",
       "      <td>38.411681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Flatbush</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>13</td>\n",
       "      <td>741</td>\n",
       "      <td>1906</td>\n",
       "      <td>1236</td>\n",
       "      <td>168</td>\n",
       "      <td>55</td>\n",
       "      <td>31</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>33.439335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High Bridge and Morrisania</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>11</td>\n",
       "      <td>512</td>\n",
       "      <td>1302</td>\n",
       "      <td>824</td>\n",
       "      <td>92</td>\n",
       "      <td>46</td>\n",
       "      <td>30</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>33.129110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greenwich Village and Soho</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>59</td>\n",
       "      <td>1155</td>\n",
       "      <td>3077</td>\n",
       "      <td>2180</td>\n",
       "      <td>485</td>\n",
       "      <td>244</td>\n",
       "      <td>173</td>\n",
       "      <td>87</td>\n",
       "      <td>1</td>\n",
       "      <td>32.833484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chelsea and Clinton</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>113</td>\n",
       "      <td>2312</td>\n",
       "      <td>5995</td>\n",
       "      <td>4163</td>\n",
       "      <td>904</td>\n",
       "      <td>448</td>\n",
       "      <td>310</td>\n",
       "      <td>157</td>\n",
       "      <td>2</td>\n",
       "      <td>31.716419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>53</td>\n",
       "      <td>1694</td>\n",
       "      <td>4452</td>\n",
       "      <td>2999</td>\n",
       "      <td>465</td>\n",
       "      <td>209</td>\n",
       "      <td>135</td>\n",
       "      <td>65</td>\n",
       "      <td>1</td>\n",
       "      <td>31.575213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gramercy Park and Murray Hill</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>73</td>\n",
       "      <td>1486</td>\n",
       "      <td>3912</td>\n",
       "      <td>2723</td>\n",
       "      <td>583</td>\n",
       "      <td>280</td>\n",
       "      <td>192</td>\n",
       "      <td>95</td>\n",
       "      <td>2</td>\n",
       "      <td>30.847984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Borough Park</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>30</td>\n",
       "      <td>915</td>\n",
       "      <td>2540</td>\n",
       "      <td>1770</td>\n",
       "      <td>282</td>\n",
       "      <td>112</td>\n",
       "      <td>82</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>30.142562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lower East Side</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>89</td>\n",
       "      <td>1817</td>\n",
       "      <td>4770</td>\n",
       "      <td>3273</td>\n",
       "      <td>657</td>\n",
       "      <td>327</td>\n",
       "      <td>184</td>\n",
       "      <td>92</td>\n",
       "      <td>1</td>\n",
       "      <td>29.727351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Brooklyn</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>42</td>\n",
       "      <td>1132</td>\n",
       "      <td>2969</td>\n",
       "      <td>1996</td>\n",
       "      <td>327</td>\n",
       "      <td>154</td>\n",
       "      <td>84</td>\n",
       "      <td>34</td>\n",
       "      <td>1</td>\n",
       "      <td>29.674412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southeast Bronx</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>44</td>\n",
       "      <td>1501</td>\n",
       "      <td>4259</td>\n",
       "      <td>2943</td>\n",
       "      <td>392</td>\n",
       "      <td>159</td>\n",
       "      <td>112</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>29.297131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northwest Brooklyn</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>139</td>\n",
       "      <td>2591</td>\n",
       "      <td>6728</td>\n",
       "      <td>4736</td>\n",
       "      <td>998</td>\n",
       "      <td>494</td>\n",
       "      <td>334</td>\n",
       "      <td>151</td>\n",
       "      <td>6</td>\n",
       "      <td>28.867211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inwood and Washington Heights</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>42</td>\n",
       "      <td>1211</td>\n",
       "      <td>3161</td>\n",
       "      <td>2137</td>\n",
       "      <td>351</td>\n",
       "      <td>149</td>\n",
       "      <td>96</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>28.821216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>34</td>\n",
       "      <td>1060</td>\n",
       "      <td>3007</td>\n",
       "      <td>2079</td>\n",
       "      <td>266</td>\n",
       "      <td>120</td>\n",
       "      <td>82</td>\n",
       "      <td>49</td>\n",
       "      <td>1</td>\n",
       "      <td>28.688715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Upper East Side</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>126</td>\n",
       "      <td>2689</td>\n",
       "      <td>7265</td>\n",
       "      <td>5089</td>\n",
       "      <td>976</td>\n",
       "      <td>444</td>\n",
       "      <td>298</td>\n",
       "      <td>140</td>\n",
       "      <td>3</td>\n",
       "      <td>28.647836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lower Manhattan</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>35</td>\n",
       "      <td>711</td>\n",
       "      <td>1779</td>\n",
       "      <td>1217</td>\n",
       "      <td>261</td>\n",
       "      <td>121</td>\n",
       "      <td>80</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>28.157334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Harlem</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>37</td>\n",
       "      <td>885</td>\n",
       "      <td>2268</td>\n",
       "      <td>1532</td>\n",
       "      <td>276</td>\n",
       "      <td>123</td>\n",
       "      <td>80</td>\n",
       "      <td>46</td>\n",
       "      <td>3</td>\n",
       "      <td>27.157118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bushwick and Williamsburg</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>31</td>\n",
       "      <td>1066</td>\n",
       "      <td>2562</td>\n",
       "      <td>1637</td>\n",
       "      <td>250</td>\n",
       "      <td>100</td>\n",
       "      <td>55</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>26.394350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>14</td>\n",
       "      <td>403</td>\n",
       "      <td>1143</td>\n",
       "      <td>804</td>\n",
       "      <td>112</td>\n",
       "      <td>43</td>\n",
       "      <td>27</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>25.160729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sunset Park</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>18</td>\n",
       "      <td>442</td>\n",
       "      <td>1184</td>\n",
       "      <td>816</td>\n",
       "      <td>138</td>\n",
       "      <td>54</td>\n",
       "      <td>34</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>24.573094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northeast Bronx</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>14</td>\n",
       "      <td>475</td>\n",
       "      <td>1377</td>\n",
       "      <td>939</td>\n",
       "      <td>115</td>\n",
       "      <td>42</td>\n",
       "      <td>25</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>24.573094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northwest Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>59</td>\n",
       "      <td>1264</td>\n",
       "      <td>3402</td>\n",
       "      <td>2337</td>\n",
       "      <td>388</td>\n",
       "      <td>173</td>\n",
       "      <td>117</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>24.004892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bronx Park and Fordham</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>13</td>\n",
       "      <td>668</td>\n",
       "      <td>1624</td>\n",
       "      <td>997</td>\n",
       "      <td>115</td>\n",
       "      <td>38</td>\n",
       "      <td>22</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>23.927603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Upper West Side</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>177</td>\n",
       "      <td>2807</td>\n",
       "      <td>7679</td>\n",
       "      <td>5484</td>\n",
       "      <td>1121</td>\n",
       "      <td>505</td>\n",
       "      <td>316</td>\n",
       "      <td>140</td>\n",
       "      <td>5</td>\n",
       "      <td>23.328549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Shore</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>63</td>\n",
       "      <td>1803</td>\n",
       "      <td>5567</td>\n",
       "      <td>4025</td>\n",
       "      <td>454</td>\n",
       "      <td>175</td>\n",
       "      <td>104</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>22.670320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Bronx</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>8</td>\n",
       "      <td>506</td>\n",
       "      <td>1159</td>\n",
       "      <td>692</td>\n",
       "      <td>81</td>\n",
       "      <td>22</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>22.423993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Central Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>60</td>\n",
       "      <td>1330</td>\n",
       "      <td>3986</td>\n",
       "      <td>2842</td>\n",
       "      <td>384</td>\n",
       "      <td>164</td>\n",
       "      <td>103</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>22.275239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southern Brooklyn</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>48</td>\n",
       "      <td>1198</td>\n",
       "      <td>3277</td>\n",
       "      <td>2219</td>\n",
       "      <td>266</td>\n",
       "      <td>122</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>2</td>\n",
       "      <td>20.510175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northeast Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>23</td>\n",
       "      <td>480</td>\n",
       "      <td>1464</td>\n",
       "      <td>1049</td>\n",
       "      <td>160</td>\n",
       "      <td>58</td>\n",
       "      <td>40</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "      <td>20.320612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rockaways</th>\n",
       "      <td>Queens</td>\n",
       "      <td>17</td>\n",
       "      <td>424</td>\n",
       "      <td>1131</td>\n",
       "      <td>757</td>\n",
       "      <td>100</td>\n",
       "      <td>42</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>19.828486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jamaica</th>\n",
       "      <td>Queens</td>\n",
       "      <td>21</td>\n",
       "      <td>646</td>\n",
       "      <td>1691</td>\n",
       "      <td>1114</td>\n",
       "      <td>135</td>\n",
       "      <td>50</td>\n",
       "      <td>35</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>18.946082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canarsie and Flatlands</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>28</td>\n",
       "      <td>779</td>\n",
       "      <td>2077</td>\n",
       "      <td>1392</td>\n",
       "      <td>159</td>\n",
       "      <td>66</td>\n",
       "      <td>39</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>18.707233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southeast Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>19</td>\n",
       "      <td>509</td>\n",
       "      <td>1421</td>\n",
       "      <td>975</td>\n",
       "      <td>112</td>\n",
       "      <td>44</td>\n",
       "      <td>29</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>18.287762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hunts Point and Mott Haven</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>13</td>\n",
       "      <td>502</td>\n",
       "      <td>1273</td>\n",
       "      <td>816</td>\n",
       "      <td>93</td>\n",
       "      <td>30</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>18.204927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stapleton and St. George</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>33</td>\n",
       "      <td>830</td>\n",
       "      <td>2352</td>\n",
       "      <td>1627</td>\n",
       "      <td>204</td>\n",
       "      <td>76</td>\n",
       "      <td>53</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>18.157129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid-Island</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>32</td>\n",
       "      <td>637</td>\n",
       "      <td>1971</td>\n",
       "      <td>1413</td>\n",
       "      <td>151</td>\n",
       "      <td>73</td>\n",
       "      <td>49</td>\n",
       "      <td>31</td>\n",
       "      <td>4</td>\n",
       "      <td>17.932791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East New York and New Lots</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>12</td>\n",
       "      <td>514</td>\n",
       "      <td>1273</td>\n",
       "      <td>784</td>\n",
       "      <td>61</td>\n",
       "      <td>26</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>16.723532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southwest Brooklyn</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>60</td>\n",
       "      <td>1145</td>\n",
       "      <td>3202</td>\n",
       "      <td>2226</td>\n",
       "      <td>293</td>\n",
       "      <td>122</td>\n",
       "      <td>76</td>\n",
       "      <td>45</td>\n",
       "      <td>1</td>\n",
       "      <td>15.250208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greenpoint</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>63</td>\n",
       "      <td>797</td>\n",
       "      <td>1979</td>\n",
       "      <td>1344</td>\n",
       "      <td>258</td>\n",
       "      <td>127</td>\n",
       "      <td>70</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>15.051592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Port Richmond</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>25</td>\n",
       "      <td>460</td>\n",
       "      <td>1249</td>\n",
       "      <td>836</td>\n",
       "      <td>120</td>\n",
       "      <td>47</td>\n",
       "      <td>29</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>13.457072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kingsbridge and Riverdale</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>37</td>\n",
       "      <td>568</td>\n",
       "      <td>1573</td>\n",
       "      <td>1092</td>\n",
       "      <td>156</td>\n",
       "      <td>61</td>\n",
       "      <td>35</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>10.516118</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     Borough  CY2014  CY2015  CY2016  CY2017  \\\n",
       "Neighborhood                                                                   \n",
       "Southwest Queens                      Queens      26    1078    2929    1969   \n",
       "East Harlem                        Manhattan      25     779    2096    1422   \n",
       "Flatbush                            Brooklyn      13     741    1906    1236   \n",
       "High Bridge and Morrisania             Bronx      11     512    1302     824   \n",
       "Greenwich Village and Soho         Manhattan      59    1155    3077    2180   \n",
       "Chelsea and Clinton                Manhattan     113    2312    5995    4163   \n",
       "West Queens                           Queens      53    1694    4452    2999   \n",
       "Gramercy Park and Murray Hill      Manhattan      73    1486    3912    2723   \n",
       "Borough Park                        Brooklyn      30     915    2540    1770   \n",
       "Lower East Side                    Manhattan      89    1817    4770    3273   \n",
       "Central Brooklyn                    Brooklyn      42    1132    2969    1996   \n",
       "Southeast Bronx                        Bronx      44    1501    4259    2943   \n",
       "Northwest Brooklyn                  Brooklyn     139    2591    6728    4736   \n",
       "Inwood and Washington Heights      Manhattan      42    1211    3161    2137   \n",
       "North Queens                          Queens      34    1060    3007    2079   \n",
       "Upper East Side                    Manhattan     126    2689    7265    5089   \n",
       "Lower Manhattan                    Manhattan      35     711    1779    1217   \n",
       "Central Harlem                     Manhattan      37     885    2268    1532   \n",
       "Bushwick and Williamsburg           Brooklyn      31    1066    2562    1637   \n",
       "Central Queens                        Queens      14     403    1143     804   \n",
       "Sunset Park                         Brooklyn      18     442    1184     816   \n",
       "Northeast Bronx                        Bronx      14     475    1377     939   \n",
       "Northwest Queens                      Queens      59    1264    3402    2337   \n",
       "Bronx Park and Fordham                 Bronx      13     668    1624     997   \n",
       "Upper West Side                    Manhattan     177    2807    7679    5484   \n",
       "South Shore                    Staten Island      63    1803    5567    4025   \n",
       "Central Bronx                          Bronx       8     506    1159     692   \n",
       "West Central Queens                   Queens      60    1330    3986    2842   \n",
       "Southern Brooklyn                   Brooklyn      48    1198    3277    2219   \n",
       "Northeast Queens                      Queens      23     480    1464    1049   \n",
       "Rockaways                             Queens      17     424    1131     757   \n",
       "Jamaica                               Queens      21     646    1691    1114   \n",
       "Canarsie and Flatlands              Brooklyn      28     779    2077    1392   \n",
       "Southeast Queens                      Queens      19     509    1421     975   \n",
       "Hunts Point and Mott Haven             Bronx      13     502    1273     816   \n",
       "Stapleton and St. George       Staten Island      33     830    2352    1627   \n",
       "Mid-Island                     Staten Island      32     637    1971    1413   \n",
       "East New York and New Lots          Brooklyn      12     514    1273     784   \n",
       "Southwest Brooklyn                  Brooklyn      60    1145    3202    2226   \n",
       "Greenpoint                          Brooklyn      63     797    1979    1344   \n",
       "Port Richmond                  Staten Island      25     460    1249     836   \n",
       "Kingsbridge and Riverdale              Bronx      37     568    1573    1092   \n",
       "\n",
       "                               CY2018  CY2019  CY2020  CY2021  CY2022  \\\n",
       "Neighborhood                                                            \n",
       "Southwest Queens                  294     135      91      49       1   \n",
       "East Harlem                       248     127      88      48       3   \n",
       "Flatbush                          168      55      31      16       1   \n",
       "High Bridge and Morrisania         92      46      30      13       0   \n",
       "Greenwich Village and Soho        485     244     173      87       1   \n",
       "Chelsea and Clinton               904     448     310     157       2   \n",
       "West Queens                       465     209     135      65       1   \n",
       "Gramercy Park and Murray Hill     583     280     192      95       2   \n",
       "Borough Park                      282     112      82      45       0   \n",
       "Lower East Side                   657     327     184      92       1   \n",
       "Central Brooklyn                  327     154      84      34       1   \n",
       "Southeast Bronx                   392     159     112      62       2   \n",
       "Northwest Brooklyn                998     494     334     151       6   \n",
       "Inwood and Washington Heights     351     149      96      46       0   \n",
       "North Queens                      266     120      82      49       1   \n",
       "Upper East Side                   976     444     298     140       3   \n",
       "Lower Manhattan                   261     121      80      38       0   \n",
       "Central Harlem                    276     123      80      46       3   \n",
       "Bushwick and Williamsburg         250     100      55      33       1   \n",
       "Central Queens                    112      43      27      14       2   \n",
       "Sunset Park                       138      54      34      15       0   \n",
       "Northeast Bronx                   115      42      25      17       1   \n",
       "Northwest Queens                  388     173     117      64       1   \n",
       "Bronx Park and Fordham            115      38      22      10       0   \n",
       "Upper West Side                  1121     505     316     140       5   \n",
       "South Shore                       454     175     104      52       1   \n",
       "Central Bronx                      81      22      14       8       0   \n",
       "West Central Queens               384     164     103      55       1   \n",
       "Southern Brooklyn                 266     122      76      41       2   \n",
       "Northeast Queens                  160      58      40      21       2   \n",
       "Rockaways                         100      42      19      10       0   \n",
       "Jamaica                           135      50      35      17       0   \n",
       "Canarsie and Flatlands            159      66      39      19       0   \n",
       "Southeast Queens                  112      44      29      12       1   \n",
       "Hunts Point and Mott Haven         93      30      19       6       0   \n",
       "Stapleton and St. George          204      76      53      26       0   \n",
       "Mid-Island                        151      73      49      31       4   \n",
       "East New York and New Lots         61      26      16       8       1   \n",
       "Southwest Brooklyn                293     122      76      45       1   \n",
       "Greenpoint                        258     127      70      31       0   \n",
       "Port Richmond                     120      47      29      15       0   \n",
       "Kingsbridge and Riverdale         156      61      35      17       1   \n",
       "\n",
       "                               5Y CAGR 2014-2019  \n",
       "Neighborhood                                      \n",
       "Southwest Queens                       39.018335  \n",
       "East Harlem                            38.411681  \n",
       "Flatbush                               33.439335  \n",
       "High Bridge and Morrisania             33.129110  \n",
       "Greenwich Village and Soho             32.833484  \n",
       "Chelsea and Clinton                    31.716419  \n",
       "West Queens                            31.575213  \n",
       "Gramercy Park and Murray Hill          30.847984  \n",
       "Borough Park                           30.142562  \n",
       "Lower East Side                        29.727351  \n",
       "Central Brooklyn                       29.674412  \n",
       "Southeast Bronx                        29.297131  \n",
       "Northwest Brooklyn                     28.867211  \n",
       "Inwood and Washington Heights          28.821216  \n",
       "North Queens                           28.688715  \n",
       "Upper East Side                        28.647836  \n",
       "Lower Manhattan                        28.157334  \n",
       "Central Harlem                         27.157118  \n",
       "Bushwick and Williamsburg              26.394350  \n",
       "Central Queens                         25.160729  \n",
       "Sunset Park                            24.573094  \n",
       "Northeast Bronx                        24.573094  \n",
       "Northwest Queens                       24.004892  \n",
       "Bronx Park and Fordham                 23.927603  \n",
       "Upper West Side                        23.328549  \n",
       "South Shore                            22.670320  \n",
       "Central Bronx                          22.423993  \n",
       "West Central Queens                    22.275239  \n",
       "Southern Brooklyn                      20.510175  \n",
       "Northeast Queens                       20.320612  \n",
       "Rockaways                              19.828486  \n",
       "Jamaica                                18.946082  \n",
       "Canarsie and Flatlands                 18.707233  \n",
       "Southeast Queens                       18.287762  \n",
       "Hunts Point and Mott Haven             18.204927  \n",
       "Stapleton and St. George               18.157129  \n",
       "Mid-Island                             17.932791  \n",
       "East New York and New Lots             16.723532  \n",
       "Southwest Brooklyn                     15.250208  \n",
       "Greenpoint                             15.051592  \n",
       "Port Richmond                          13.457072  \n",
       "Kingsbridge and Riverdale              10.516118  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dog_growth['5Y CAGR 2014-2019'] = (((dog_growth['CY2019'] / dog_growth['CY2014']) ** (1/5)) - 1) * 100\n",
    "dog_growth = dog_growth.sort_values(by=['5Y CAGR 2014-2019'], ascending=False)\n",
    "dog_growth = dog_growth.replace(np.inf, np.nan)\n",
    "dog_growth = dog_growth.dropna(subset=['5Y CAGR 2014-2019'])\n",
    "dog_growth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>Borough</th>\n",
       "      <th>CY2014</th>\n",
       "      <th>CY2015</th>\n",
       "      <th>CY2016</th>\n",
       "      <th>CY2017</th>\n",
       "      <th>CY2018</th>\n",
       "      <th>CY2019</th>\n",
       "      <th>CY2020</th>\n",
       "      <th>CY2021</th>\n",
       "      <th>CY2022</th>\n",
       "      <th>5Y CAGR 2014-2019</th>\n",
       "      <th>Share 2019</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <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>Upper West Side</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>177</td>\n",
       "      <td>2807</td>\n",
       "      <td>7679</td>\n",
       "      <td>5484</td>\n",
       "      <td>1121</td>\n",
       "      <td>505</td>\n",
       "      <td>316</td>\n",
       "      <td>140</td>\n",
       "      <td>5</td>\n",
       "      <td>23.328549</td>\n",
       "      <td>8.406859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northwest Brooklyn</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>139</td>\n",
       "      <td>2591</td>\n",
       "      <td>6728</td>\n",
       "      <td>4736</td>\n",
       "      <td>998</td>\n",
       "      <td>494</td>\n",
       "      <td>334</td>\n",
       "      <td>151</td>\n",
       "      <td>6</td>\n",
       "      <td>28.867211</td>\n",
       "      <td>8.223739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chelsea and Clinton</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>113</td>\n",
       "      <td>2312</td>\n",
       "      <td>5995</td>\n",
       "      <td>4163</td>\n",
       "      <td>904</td>\n",
       "      <td>448</td>\n",
       "      <td>310</td>\n",
       "      <td>157</td>\n",
       "      <td>2</td>\n",
       "      <td>31.716419</td>\n",
       "      <td>7.457966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Upper East Side</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>126</td>\n",
       "      <td>2689</td>\n",
       "      <td>7265</td>\n",
       "      <td>5089</td>\n",
       "      <td>976</td>\n",
       "      <td>444</td>\n",
       "      <td>298</td>\n",
       "      <td>140</td>\n",
       "      <td>3</td>\n",
       "      <td>28.647836</td>\n",
       "      <td>7.391377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lower East Side</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>89</td>\n",
       "      <td>1817</td>\n",
       "      <td>4770</td>\n",
       "      <td>3273</td>\n",
       "      <td>657</td>\n",
       "      <td>327</td>\n",
       "      <td>184</td>\n",
       "      <td>92</td>\n",
       "      <td>1</td>\n",
       "      <td>29.727351</td>\n",
       "      <td>5.443649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Gramercy Park and Murray Hill</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>73</td>\n",
       "      <td>1486</td>\n",
       "      <td>3912</td>\n",
       "      <td>2723</td>\n",
       "      <td>583</td>\n",
       "      <td>280</td>\n",
       "      <td>192</td>\n",
       "      <td>95</td>\n",
       "      <td>2</td>\n",
       "      <td>30.847984</td>\n",
       "      <td>4.661229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greenwich Village and Soho</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>59</td>\n",
       "      <td>1155</td>\n",
       "      <td>3077</td>\n",
       "      <td>2180</td>\n",
       "      <td>485</td>\n",
       "      <td>244</td>\n",
       "      <td>173</td>\n",
       "      <td>87</td>\n",
       "      <td>1</td>\n",
       "      <td>32.833484</td>\n",
       "      <td>4.061928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>53</td>\n",
       "      <td>1694</td>\n",
       "      <td>4452</td>\n",
       "      <td>2999</td>\n",
       "      <td>465</td>\n",
       "      <td>209</td>\n",
       "      <td>135</td>\n",
       "      <td>65</td>\n",
       "      <td>1</td>\n",
       "      <td>31.575213</td>\n",
       "      <td>3.479274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>South Shore</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>63</td>\n",
       "      <td>1803</td>\n",
       "      <td>5567</td>\n",
       "      <td>4025</td>\n",
       "      <td>454</td>\n",
       "      <td>175</td>\n",
       "      <td>104</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>22.670320</td>\n",
       "      <td>2.913268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northwest Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>59</td>\n",
       "      <td>1264</td>\n",
       "      <td>3402</td>\n",
       "      <td>2337</td>\n",
       "      <td>388</td>\n",
       "      <td>173</td>\n",
       "      <td>117</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>24.004892</td>\n",
       "      <td>2.879973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>West Central Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>60</td>\n",
       "      <td>1330</td>\n",
       "      <td>3986</td>\n",
       "      <td>2842</td>\n",
       "      <td>384</td>\n",
       "      <td>164</td>\n",
       "      <td>103</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>22.275239</td>\n",
       "      <td>2.730148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southeast Bronx</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>44</td>\n",
       "      <td>1501</td>\n",
       "      <td>4259</td>\n",
       "      <td>2943</td>\n",
       "      <td>392</td>\n",
       "      <td>159</td>\n",
       "      <td>112</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>29.297131</td>\n",
       "      <td>2.646912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Brooklyn</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>42</td>\n",
       "      <td>1132</td>\n",
       "      <td>2969</td>\n",
       "      <td>1996</td>\n",
       "      <td>327</td>\n",
       "      <td>154</td>\n",
       "      <td>84</td>\n",
       "      <td>34</td>\n",
       "      <td>1</td>\n",
       "      <td>29.674412</td>\n",
       "      <td>2.563676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Inwood and Washington Heights</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>42</td>\n",
       "      <td>1211</td>\n",
       "      <td>3161</td>\n",
       "      <td>2137</td>\n",
       "      <td>351</td>\n",
       "      <td>149</td>\n",
       "      <td>96</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>28.821216</td>\n",
       "      <td>2.480439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southwest Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>26</td>\n",
       "      <td>1078</td>\n",
       "      <td>2929</td>\n",
       "      <td>1969</td>\n",
       "      <td>294</td>\n",
       "      <td>135</td>\n",
       "      <td>91</td>\n",
       "      <td>49</td>\n",
       "      <td>1</td>\n",
       "      <td>39.018335</td>\n",
       "      <td>2.247378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East Harlem</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>25</td>\n",
       "      <td>779</td>\n",
       "      <td>2096</td>\n",
       "      <td>1422</td>\n",
       "      <td>248</td>\n",
       "      <td>127</td>\n",
       "      <td>88</td>\n",
       "      <td>48</td>\n",
       "      <td>3</td>\n",
       "      <td>38.411681</td>\n",
       "      <td>2.114200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Greenpoint</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>63</td>\n",
       "      <td>797</td>\n",
       "      <td>1979</td>\n",
       "      <td>1344</td>\n",
       "      <td>258</td>\n",
       "      <td>127</td>\n",
       "      <td>70</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>15.051592</td>\n",
       "      <td>2.114200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Harlem</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>37</td>\n",
       "      <td>885</td>\n",
       "      <td>2268</td>\n",
       "      <td>1532</td>\n",
       "      <td>276</td>\n",
       "      <td>123</td>\n",
       "      <td>80</td>\n",
       "      <td>46</td>\n",
       "      <td>3</td>\n",
       "      <td>27.157118</td>\n",
       "      <td>2.047611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southwest Brooklyn</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>60</td>\n",
       "      <td>1145</td>\n",
       "      <td>3202</td>\n",
       "      <td>2226</td>\n",
       "      <td>293</td>\n",
       "      <td>122</td>\n",
       "      <td>76</td>\n",
       "      <td>45</td>\n",
       "      <td>1</td>\n",
       "      <td>15.250208</td>\n",
       "      <td>2.030964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southern Brooklyn</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>48</td>\n",
       "      <td>1198</td>\n",
       "      <td>3277</td>\n",
       "      <td>2219</td>\n",
       "      <td>266</td>\n",
       "      <td>122</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>2</td>\n",
       "      <td>20.510175</td>\n",
       "      <td>2.030964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lower Manhattan</th>\n",
       "      <td>Manhattan</td>\n",
       "      <td>35</td>\n",
       "      <td>711</td>\n",
       "      <td>1779</td>\n",
       "      <td>1217</td>\n",
       "      <td>261</td>\n",
       "      <td>121</td>\n",
       "      <td>80</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>28.157334</td>\n",
       "      <td>2.014317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>34</td>\n",
       "      <td>1060</td>\n",
       "      <td>3007</td>\n",
       "      <td>2079</td>\n",
       "      <td>266</td>\n",
       "      <td>120</td>\n",
       "      <td>82</td>\n",
       "      <td>49</td>\n",
       "      <td>1</td>\n",
       "      <td>28.688715</td>\n",
       "      <td>1.997669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Borough Park</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>30</td>\n",
       "      <td>915</td>\n",
       "      <td>2540</td>\n",
       "      <td>1770</td>\n",
       "      <td>282</td>\n",
       "      <td>112</td>\n",
       "      <td>82</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>30.142562</td>\n",
       "      <td>1.864491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bushwick and Williamsburg</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>31</td>\n",
       "      <td>1066</td>\n",
       "      <td>2562</td>\n",
       "      <td>1637</td>\n",
       "      <td>250</td>\n",
       "      <td>100</td>\n",
       "      <td>55</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>26.394350</td>\n",
       "      <td>1.664724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stapleton and St. George</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>33</td>\n",
       "      <td>830</td>\n",
       "      <td>2352</td>\n",
       "      <td>1627</td>\n",
       "      <td>204</td>\n",
       "      <td>76</td>\n",
       "      <td>53</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>18.157129</td>\n",
       "      <td>1.265191</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mid-Island</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>32</td>\n",
       "      <td>637</td>\n",
       "      <td>1971</td>\n",
       "      <td>1413</td>\n",
       "      <td>151</td>\n",
       "      <td>73</td>\n",
       "      <td>49</td>\n",
       "      <td>31</td>\n",
       "      <td>4</td>\n",
       "      <td>17.932791</td>\n",
       "      <td>1.215249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Canarsie and Flatlands</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>28</td>\n",
       "      <td>779</td>\n",
       "      <td>2077</td>\n",
       "      <td>1392</td>\n",
       "      <td>159</td>\n",
       "      <td>66</td>\n",
       "      <td>39</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>18.707233</td>\n",
       "      <td>1.098718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kingsbridge and Riverdale</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>37</td>\n",
       "      <td>568</td>\n",
       "      <td>1573</td>\n",
       "      <td>1092</td>\n",
       "      <td>156</td>\n",
       "      <td>61</td>\n",
       "      <td>35</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>10.516118</td>\n",
       "      <td>1.015482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northeast Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>23</td>\n",
       "      <td>480</td>\n",
       "      <td>1464</td>\n",
       "      <td>1049</td>\n",
       "      <td>160</td>\n",
       "      <td>58</td>\n",
       "      <td>40</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "      <td>20.320612</td>\n",
       "      <td>0.965540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Flatbush</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>13</td>\n",
       "      <td>741</td>\n",
       "      <td>1906</td>\n",
       "      <td>1236</td>\n",
       "      <td>168</td>\n",
       "      <td>55</td>\n",
       "      <td>31</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>33.439335</td>\n",
       "      <td>0.915598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sunset Park</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>18</td>\n",
       "      <td>442</td>\n",
       "      <td>1184</td>\n",
       "      <td>816</td>\n",
       "      <td>138</td>\n",
       "      <td>54</td>\n",
       "      <td>34</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>24.573094</td>\n",
       "      <td>0.898951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jamaica</th>\n",
       "      <td>Queens</td>\n",
       "      <td>21</td>\n",
       "      <td>646</td>\n",
       "      <td>1691</td>\n",
       "      <td>1114</td>\n",
       "      <td>135</td>\n",
       "      <td>50</td>\n",
       "      <td>35</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>18.946082</td>\n",
       "      <td>0.832362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Port Richmond</th>\n",
       "      <td>Staten Island</td>\n",
       "      <td>25</td>\n",
       "      <td>460</td>\n",
       "      <td>1249</td>\n",
       "      <td>836</td>\n",
       "      <td>120</td>\n",
       "      <td>47</td>\n",
       "      <td>29</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>13.457072</td>\n",
       "      <td>0.782421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High Bridge and Morrisania</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>11</td>\n",
       "      <td>512</td>\n",
       "      <td>1302</td>\n",
       "      <td>824</td>\n",
       "      <td>92</td>\n",
       "      <td>46</td>\n",
       "      <td>30</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>33.129110</td>\n",
       "      <td>0.765773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Southeast Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>19</td>\n",
       "      <td>509</td>\n",
       "      <td>1421</td>\n",
       "      <td>975</td>\n",
       "      <td>112</td>\n",
       "      <td>44</td>\n",
       "      <td>29</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>18.287762</td>\n",
       "      <td>0.732479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Queens</th>\n",
       "      <td>Queens</td>\n",
       "      <td>14</td>\n",
       "      <td>403</td>\n",
       "      <td>1143</td>\n",
       "      <td>804</td>\n",
       "      <td>112</td>\n",
       "      <td>43</td>\n",
       "      <td>27</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>25.160729</td>\n",
       "      <td>0.715832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rockaways</th>\n",
       "      <td>Queens</td>\n",
       "      <td>17</td>\n",
       "      <td>424</td>\n",
       "      <td>1131</td>\n",
       "      <td>757</td>\n",
       "      <td>100</td>\n",
       "      <td>42</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>19.828486</td>\n",
       "      <td>0.699184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northeast Bronx</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>14</td>\n",
       "      <td>475</td>\n",
       "      <td>1377</td>\n",
       "      <td>939</td>\n",
       "      <td>115</td>\n",
       "      <td>42</td>\n",
       "      <td>25</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>24.573094</td>\n",
       "      <td>0.699184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bronx Park and Fordham</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>13</td>\n",
       "      <td>668</td>\n",
       "      <td>1624</td>\n",
       "      <td>997</td>\n",
       "      <td>115</td>\n",
       "      <td>38</td>\n",
       "      <td>22</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>23.927603</td>\n",
       "      <td>0.632595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hunts Point and Mott Haven</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>13</td>\n",
       "      <td>502</td>\n",
       "      <td>1273</td>\n",
       "      <td>816</td>\n",
       "      <td>93</td>\n",
       "      <td>30</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>18.204927</td>\n",
       "      <td>0.499417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>East New York and New Lots</th>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>12</td>\n",
       "      <td>514</td>\n",
       "      <td>1273</td>\n",
       "      <td>784</td>\n",
       "      <td>61</td>\n",
       "      <td>26</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>16.723532</td>\n",
       "      <td>0.432828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Bronx</th>\n",
       "      <td>Bronx</td>\n",
       "      <td>8</td>\n",
       "      <td>506</td>\n",
       "      <td>1159</td>\n",
       "      <td>692</td>\n",
       "      <td>81</td>\n",
       "      <td>22</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>22.423993</td>\n",
       "      <td>0.366239</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     Borough  CY2014  CY2015  CY2016  CY2017  \\\n",
       "Neighborhood                                                                   \n",
       "Upper West Side                    Manhattan     177    2807    7679    5484   \n",
       "Northwest Brooklyn                  Brooklyn     139    2591    6728    4736   \n",
       "Chelsea and Clinton                Manhattan     113    2312    5995    4163   \n",
       "Upper East Side                    Manhattan     126    2689    7265    5089   \n",
       "Lower East Side                    Manhattan      89    1817    4770    3273   \n",
       "Gramercy Park and Murray Hill      Manhattan      73    1486    3912    2723   \n",
       "Greenwich Village and Soho         Manhattan      59    1155    3077    2180   \n",
       "West Queens                           Queens      53    1694    4452    2999   \n",
       "South Shore                    Staten Island      63    1803    5567    4025   \n",
       "Northwest Queens                      Queens      59    1264    3402    2337   \n",
       "West Central Queens                   Queens      60    1330    3986    2842   \n",
       "Southeast Bronx                        Bronx      44    1501    4259    2943   \n",
       "Central Brooklyn                    Brooklyn      42    1132    2969    1996   \n",
       "Inwood and Washington Heights      Manhattan      42    1211    3161    2137   \n",
       "Southwest Queens                      Queens      26    1078    2929    1969   \n",
       "East Harlem                        Manhattan      25     779    2096    1422   \n",
       "Greenpoint                          Brooklyn      63     797    1979    1344   \n",
       "Central Harlem                     Manhattan      37     885    2268    1532   \n",
       "Southwest Brooklyn                  Brooklyn      60    1145    3202    2226   \n",
       "Southern Brooklyn                   Brooklyn      48    1198    3277    2219   \n",
       "Lower Manhattan                    Manhattan      35     711    1779    1217   \n",
       "North Queens                          Queens      34    1060    3007    2079   \n",
       "Borough Park                        Brooklyn      30     915    2540    1770   \n",
       "Bushwick and Williamsburg           Brooklyn      31    1066    2562    1637   \n",
       "Stapleton and St. George       Staten Island      33     830    2352    1627   \n",
       "Mid-Island                     Staten Island      32     637    1971    1413   \n",
       "Canarsie and Flatlands              Brooklyn      28     779    2077    1392   \n",
       "Kingsbridge and Riverdale              Bronx      37     568    1573    1092   \n",
       "Northeast Queens                      Queens      23     480    1464    1049   \n",
       "Flatbush                            Brooklyn      13     741    1906    1236   \n",
       "Sunset Park                         Brooklyn      18     442    1184     816   \n",
       "Jamaica                               Queens      21     646    1691    1114   \n",
       "Port Richmond                  Staten Island      25     460    1249     836   \n",
       "High Bridge and Morrisania             Bronx      11     512    1302     824   \n",
       "Southeast Queens                      Queens      19     509    1421     975   \n",
       "Central Queens                        Queens      14     403    1143     804   \n",
       "Rockaways                             Queens      17     424    1131     757   \n",
       "Northeast Bronx                        Bronx      14     475    1377     939   \n",
       "Bronx Park and Fordham                 Bronx      13     668    1624     997   \n",
       "Hunts Point and Mott Haven             Bronx      13     502    1273     816   \n",
       "East New York and New Lots          Brooklyn      12     514    1273     784   \n",
       "Central Bronx                          Bronx       8     506    1159     692   \n",
       "\n",
       "                               CY2018  CY2019  CY2020  CY2021  CY2022  \\\n",
       "Neighborhood                                                            \n",
       "Upper West Side                  1121     505     316     140       5   \n",
       "Northwest Brooklyn                998     494     334     151       6   \n",
       "Chelsea and Clinton               904     448     310     157       2   \n",
       "Upper East Side                   976     444     298     140       3   \n",
       "Lower East Side                   657     327     184      92       1   \n",
       "Gramercy Park and Murray Hill     583     280     192      95       2   \n",
       "Greenwich Village and Soho        485     244     173      87       1   \n",
       "West Queens                       465     209     135      65       1   \n",
       "South Shore                       454     175     104      52       1   \n",
       "Northwest Queens                  388     173     117      64       1   \n",
       "West Central Queens               384     164     103      55       1   \n",
       "Southeast Bronx                   392     159     112      62       2   \n",
       "Central Brooklyn                  327     154      84      34       1   \n",
       "Inwood and Washington Heights     351     149      96      46       0   \n",
       "Southwest Queens                  294     135      91      49       1   \n",
       "East Harlem                       248     127      88      48       3   \n",
       "Greenpoint                        258     127      70      31       0   \n",
       "Central Harlem                    276     123      80      46       3   \n",
       "Southwest Brooklyn                293     122      76      45       1   \n",
       "Southern Brooklyn                 266     122      76      41       2   \n",
       "Lower Manhattan                   261     121      80      38       0   \n",
       "North Queens                      266     120      82      49       1   \n",
       "Borough Park                      282     112      82      45       0   \n",
       "Bushwick and Williamsburg         250     100      55      33       1   \n",
       "Stapleton and St. George          204      76      53      26       0   \n",
       "Mid-Island                        151      73      49      31       4   \n",
       "Canarsie and Flatlands            159      66      39      19       0   \n",
       "Kingsbridge and Riverdale         156      61      35      17       1   \n",
       "Northeast Queens                  160      58      40      21       2   \n",
       "Flatbush                          168      55      31      16       1   \n",
       "Sunset Park                       138      54      34      15       0   \n",
       "Jamaica                           135      50      35      17       0   \n",
       "Port Richmond                     120      47      29      15       0   \n",
       "High Bridge and Morrisania         92      46      30      13       0   \n",
       "Southeast Queens                  112      44      29      12       1   \n",
       "Central Queens                    112      43      27      14       2   \n",
       "Rockaways                         100      42      19      10       0   \n",
       "Northeast Bronx                   115      42      25      17       1   \n",
       "Bronx Park and Fordham            115      38      22      10       0   \n",
       "Hunts Point and Mott Haven         93      30      19       6       0   \n",
       "East New York and New Lots         61      26      16       8       1   \n",
       "Central Bronx                      81      22      14       8       0   \n",
       "\n",
       "                               5Y CAGR 2014-2019  Share 2019  \n",
       "Neighborhood                                                  \n",
       "Upper West Side                        23.328549    8.406859  \n",
       "Northwest Brooklyn                     28.867211    8.223739  \n",
       "Chelsea and Clinton                    31.716419    7.457966  \n",
       "Upper East Side                        28.647836    7.391377  \n",
       "Lower East Side                        29.727351    5.443649  \n",
       "Gramercy Park and Murray Hill          30.847984    4.661229  \n",
       "Greenwich Village and Soho             32.833484    4.061928  \n",
       "West Queens                            31.575213    3.479274  \n",
       "South Shore                            22.670320    2.913268  \n",
       "Northwest Queens                       24.004892    2.879973  \n",
       "West Central Queens                    22.275239    2.730148  \n",
       "Southeast Bronx                        29.297131    2.646912  \n",
       "Central Brooklyn                       29.674412    2.563676  \n",
       "Inwood and Washington Heights          28.821216    2.480439  \n",
       "Southwest Queens                       39.018335    2.247378  \n",
       "East Harlem                            38.411681    2.114200  \n",
       "Greenpoint                             15.051592    2.114200  \n",
       "Central Harlem                         27.157118    2.047611  \n",
       "Southwest Brooklyn                     15.250208    2.030964  \n",
       "Southern Brooklyn                      20.510175    2.030964  \n",
       "Lower Manhattan                        28.157334    2.014317  \n",
       "North Queens                           28.688715    1.997669  \n",
       "Borough Park                           30.142562    1.864491  \n",
       "Bushwick and Williamsburg              26.394350    1.664724  \n",
       "Stapleton and St. George               18.157129    1.265191  \n",
       "Mid-Island                             17.932791    1.215249  \n",
       "Canarsie and Flatlands                 18.707233    1.098718  \n",
       "Kingsbridge and Riverdale              10.516118    1.015482  \n",
       "Northeast Queens                       20.320612    0.965540  \n",
       "Flatbush                               33.439335    0.915598  \n",
       "Sunset Park                            24.573094    0.898951  \n",
       "Jamaica                                18.946082    0.832362  \n",
       "Port Richmond                          13.457072    0.782421  \n",
       "High Bridge and Morrisania             33.129110    0.765773  \n",
       "Southeast Queens                       18.287762    0.732479  \n",
       "Central Queens                         25.160729    0.715832  \n",
       "Rockaways                              19.828486    0.699184  \n",
       "Northeast Bronx                        24.573094    0.699184  \n",
       "Bronx Park and Fordham                 23.927603    0.632595  \n",
       "Hunts Point and Mott Haven             18.204927    0.499417  \n",
       "East New York and New Lots             16.723532    0.432828  \n",
       "Central Bronx                          22.423993    0.366239  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dog_growth['Share 2019'] = dog_growth['CY2019'] / total_market['CY2019'] * 100\n",
    "dog_growth = dog_growth.sort_values(by=['Share 2019'], ascending=False)\n",
    "dog_growth"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Borough</th>\n",
       "      <th>CY2014</th>\n",
       "      <th>CY2015</th>\n",
       "      <th>CY2016</th>\n",
       "      <th>CY2017</th>\n",
       "      <th>CY2018</th>\n",
       "      <th>CY2019</th>\n",
       "      <th>CY2020</th>\n",
       "      <th>CY2021</th>\n",
       "      <th>CY2022</th>\n",
       "      <th>5Y CAGR 2014-2019</th>\n",
       "      <th>Share 2019</th>\n",
       "      <th>Stores</th>\n",
       "      <th>Dogs per Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Upper West Side</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>177</td>\n",
       "      <td>2807</td>\n",
       "      <td>7679</td>\n",
       "      <td>5484</td>\n",
       "      <td>1121</td>\n",
       "      <td>505</td>\n",
       "      <td>316</td>\n",
       "      <td>140</td>\n",
       "      <td>5</td>\n",
       "      <td>23.33</td>\n",
       "      <td>8.41</td>\n",
       "      <td>65</td>\n",
       "      <td>118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Northwest Brooklyn</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>139</td>\n",
       "      <td>2591</td>\n",
       "      <td>6728</td>\n",
       "      <td>4736</td>\n",
       "      <td>998</td>\n",
       "      <td>494</td>\n",
       "      <td>334</td>\n",
       "      <td>151</td>\n",
       "      <td>6</td>\n",
       "      <td>28.87</td>\n",
       "      <td>8.22</td>\n",
       "      <td>94</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chelsea and Clinton</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>113</td>\n",
       "      <td>2312</td>\n",
       "      <td>5995</td>\n",
       "      <td>4163</td>\n",
       "      <td>904</td>\n",
       "      <td>448</td>\n",
       "      <td>310</td>\n",
       "      <td>157</td>\n",
       "      <td>2</td>\n",
       "      <td>31.72</td>\n",
       "      <td>7.46</td>\n",
       "      <td>79</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Upper East Side</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>126</td>\n",
       "      <td>2689</td>\n",
       "      <td>7265</td>\n",
       "      <td>5089</td>\n",
       "      <td>976</td>\n",
       "      <td>444</td>\n",
       "      <td>298</td>\n",
       "      <td>140</td>\n",
       "      <td>3</td>\n",
       "      <td>28.65</td>\n",
       "      <td>7.39</td>\n",
       "      <td>72</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Lower East Side</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>89</td>\n",
       "      <td>1817</td>\n",
       "      <td>4770</td>\n",
       "      <td>3273</td>\n",
       "      <td>657</td>\n",
       "      <td>327</td>\n",
       "      <td>184</td>\n",
       "      <td>92</td>\n",
       "      <td>1</td>\n",
       "      <td>29.73</td>\n",
       "      <td>5.44</td>\n",
       "      <td>47</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Gramercy Park and Murray Hill</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>73</td>\n",
       "      <td>1486</td>\n",
       "      <td>3912</td>\n",
       "      <td>2723</td>\n",
       "      <td>583</td>\n",
       "      <td>280</td>\n",
       "      <td>192</td>\n",
       "      <td>95</td>\n",
       "      <td>2</td>\n",
       "      <td>30.85</td>\n",
       "      <td>4.66</td>\n",
       "      <td>42</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Greenwich Village and Soho</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>59</td>\n",
       "      <td>1155</td>\n",
       "      <td>3077</td>\n",
       "      <td>2180</td>\n",
       "      <td>485</td>\n",
       "      <td>244</td>\n",
       "      <td>173</td>\n",
       "      <td>87</td>\n",
       "      <td>1</td>\n",
       "      <td>32.83</td>\n",
       "      <td>4.06</td>\n",
       "      <td>44</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>West Queens</td>\n",
       "      <td>Queens</td>\n",
       "      <td>53</td>\n",
       "      <td>1694</td>\n",
       "      <td>4452</td>\n",
       "      <td>2999</td>\n",
       "      <td>465</td>\n",
       "      <td>209</td>\n",
       "      <td>135</td>\n",
       "      <td>65</td>\n",
       "      <td>1</td>\n",
       "      <td>31.58</td>\n",
       "      <td>3.48</td>\n",
       "      <td>23</td>\n",
       "      <td>193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>South Shore</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>63</td>\n",
       "      <td>1803</td>\n",
       "      <td>5567</td>\n",
       "      <td>4025</td>\n",
       "      <td>454</td>\n",
       "      <td>175</td>\n",
       "      <td>104</td>\n",
       "      <td>52</td>\n",
       "      <td>1</td>\n",
       "      <td>22.67</td>\n",
       "      <td>2.91</td>\n",
       "      <td>16</td>\n",
       "      <td>347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Northwest Queens</td>\n",
       "      <td>Queens</td>\n",
       "      <td>59</td>\n",
       "      <td>1264</td>\n",
       "      <td>3402</td>\n",
       "      <td>2337</td>\n",
       "      <td>388</td>\n",
       "      <td>173</td>\n",
       "      <td>117</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>24.00</td>\n",
       "      <td>2.88</td>\n",
       "      <td>73</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>West Central Queens</td>\n",
       "      <td>Queens</td>\n",
       "      <td>60</td>\n",
       "      <td>1330</td>\n",
       "      <td>3986</td>\n",
       "      <td>2842</td>\n",
       "      <td>384</td>\n",
       "      <td>164</td>\n",
       "      <td>103</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>22.28</td>\n",
       "      <td>2.73</td>\n",
       "      <td>40</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Southeast Bronx</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>44</td>\n",
       "      <td>1501</td>\n",
       "      <td>4259</td>\n",
       "      <td>2943</td>\n",
       "      <td>392</td>\n",
       "      <td>159</td>\n",
       "      <td>112</td>\n",
       "      <td>62</td>\n",
       "      <td>2</td>\n",
       "      <td>29.30</td>\n",
       "      <td>2.65</td>\n",
       "      <td>10</td>\n",
       "      <td>425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Central Brooklyn</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>42</td>\n",
       "      <td>1132</td>\n",
       "      <td>2969</td>\n",
       "      <td>1996</td>\n",
       "      <td>327</td>\n",
       "      <td>154</td>\n",
       "      <td>84</td>\n",
       "      <td>34</td>\n",
       "      <td>1</td>\n",
       "      <td>29.67</td>\n",
       "      <td>2.56</td>\n",
       "      <td>24</td>\n",
       "      <td>123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Inwood and Washington Heights</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>42</td>\n",
       "      <td>1211</td>\n",
       "      <td>3161</td>\n",
       "      <td>2137</td>\n",
       "      <td>351</td>\n",
       "      <td>149</td>\n",
       "      <td>96</td>\n",
       "      <td>46</td>\n",
       "      <td>0</td>\n",
       "      <td>28.82</td>\n",
       "      <td>2.48</td>\n",
       "      <td>27</td>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Southwest Queens</td>\n",
       "      <td>Queens</td>\n",
       "      <td>26</td>\n",
       "      <td>1078</td>\n",
       "      <td>2929</td>\n",
       "      <td>1969</td>\n",
       "      <td>294</td>\n",
       "      <td>135</td>\n",
       "      <td>91</td>\n",
       "      <td>49</td>\n",
       "      <td>1</td>\n",
       "      <td>39.02</td>\n",
       "      <td>2.25</td>\n",
       "      <td>26</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>East Harlem</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>25</td>\n",
       "      <td>779</td>\n",
       "      <td>2096</td>\n",
       "      <td>1422</td>\n",
       "      <td>248</td>\n",
       "      <td>127</td>\n",
       "      <td>88</td>\n",
       "      <td>48</td>\n",
       "      <td>3</td>\n",
       "      <td>38.41</td>\n",
       "      <td>2.11</td>\n",
       "      <td>13</td>\n",
       "      <td>161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Greenpoint</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>63</td>\n",
       "      <td>797</td>\n",
       "      <td>1979</td>\n",
       "      <td>1344</td>\n",
       "      <td>258</td>\n",
       "      <td>127</td>\n",
       "      <td>70</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>15.05</td>\n",
       "      <td>2.11</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Central Harlem</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>37</td>\n",
       "      <td>885</td>\n",
       "      <td>2268</td>\n",
       "      <td>1532</td>\n",
       "      <td>276</td>\n",
       "      <td>123</td>\n",
       "      <td>80</td>\n",
       "      <td>46</td>\n",
       "      <td>3</td>\n",
       "      <td>27.16</td>\n",
       "      <td>2.05</td>\n",
       "      <td>12</td>\n",
       "      <td>189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Southwest Brooklyn</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>60</td>\n",
       "      <td>1145</td>\n",
       "      <td>3202</td>\n",
       "      <td>2226</td>\n",
       "      <td>293</td>\n",
       "      <td>122</td>\n",
       "      <td>76</td>\n",
       "      <td>45</td>\n",
       "      <td>1</td>\n",
       "      <td>15.25</td>\n",
       "      <td>2.03</td>\n",
       "      <td>28</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Southern Brooklyn</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>48</td>\n",
       "      <td>1198</td>\n",
       "      <td>3277</td>\n",
       "      <td>2219</td>\n",
       "      <td>266</td>\n",
       "      <td>122</td>\n",
       "      <td>76</td>\n",
       "      <td>41</td>\n",
       "      <td>2</td>\n",
       "      <td>20.51</td>\n",
       "      <td>2.03</td>\n",
       "      <td>22</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Lower Manhattan</td>\n",
       "      <td>Manhattan</td>\n",
       "      <td>35</td>\n",
       "      <td>711</td>\n",
       "      <td>1779</td>\n",
       "      <td>1217</td>\n",
       "      <td>261</td>\n",
       "      <td>121</td>\n",
       "      <td>80</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>28.16</td>\n",
       "      <td>2.01</td>\n",
       "      <td>20</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>North Queens</td>\n",
       "      <td>Queens</td>\n",
       "      <td>34</td>\n",
       "      <td>1060</td>\n",
       "      <td>3007</td>\n",
       "      <td>2079</td>\n",
       "      <td>266</td>\n",
       "      <td>120</td>\n",
       "      <td>82</td>\n",
       "      <td>49</td>\n",
       "      <td>1</td>\n",
       "      <td>28.69</td>\n",
       "      <td>2.00</td>\n",
       "      <td>32</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Borough Park</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>30</td>\n",
       "      <td>915</td>\n",
       "      <td>2540</td>\n",
       "      <td>1770</td>\n",
       "      <td>282</td>\n",
       "      <td>112</td>\n",
       "      <td>82</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>30.14</td>\n",
       "      <td>1.86</td>\n",
       "      <td>21</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Bushwick and Williamsburg</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>31</td>\n",
       "      <td>1066</td>\n",
       "      <td>2562</td>\n",
       "      <td>1637</td>\n",
       "      <td>250</td>\n",
       "      <td>100</td>\n",
       "      <td>55</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>26.39</td>\n",
       "      <td>1.66</td>\n",
       "      <td>34</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Stapleton and St. George</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>33</td>\n",
       "      <td>830</td>\n",
       "      <td>2352</td>\n",
       "      <td>1627</td>\n",
       "      <td>204</td>\n",
       "      <td>76</td>\n",
       "      <td>53</td>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>18.16</td>\n",
       "      <td>1.27</td>\n",
       "      <td>5</td>\n",
       "      <td>470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Mid-Island</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>32</td>\n",
       "      <td>637</td>\n",
       "      <td>1971</td>\n",
       "      <td>1413</td>\n",
       "      <td>151</td>\n",
       "      <td>73</td>\n",
       "      <td>49</td>\n",
       "      <td>31</td>\n",
       "      <td>4</td>\n",
       "      <td>17.93</td>\n",
       "      <td>1.22</td>\n",
       "      <td>10</td>\n",
       "      <td>197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Canarsie and Flatlands</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>28</td>\n",
       "      <td>779</td>\n",
       "      <td>2077</td>\n",
       "      <td>1392</td>\n",
       "      <td>159</td>\n",
       "      <td>66</td>\n",
       "      <td>39</td>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>18.71</td>\n",
       "      <td>1.10</td>\n",
       "      <td>18</td>\n",
       "      <td>115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Kingsbridge and Riverdale</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>37</td>\n",
       "      <td>568</td>\n",
       "      <td>1573</td>\n",
       "      <td>1092</td>\n",
       "      <td>156</td>\n",
       "      <td>61</td>\n",
       "      <td>35</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>10.52</td>\n",
       "      <td>1.02</td>\n",
       "      <td>10</td>\n",
       "      <td>157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Northeast Queens</td>\n",
       "      <td>Queens</td>\n",
       "      <td>23</td>\n",
       "      <td>480</td>\n",
       "      <td>1464</td>\n",
       "      <td>1049</td>\n",
       "      <td>160</td>\n",
       "      <td>58</td>\n",
       "      <td>40</td>\n",
       "      <td>21</td>\n",
       "      <td>2</td>\n",
       "      <td>20.32</td>\n",
       "      <td>0.97</td>\n",
       "      <td>13</td>\n",
       "      <td>112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Flatbush</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>13</td>\n",
       "      <td>741</td>\n",
       "      <td>1906</td>\n",
       "      <td>1236</td>\n",
       "      <td>168</td>\n",
       "      <td>55</td>\n",
       "      <td>31</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>33.44</td>\n",
       "      <td>0.92</td>\n",
       "      <td>18</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Sunset Park</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>18</td>\n",
       "      <td>442</td>\n",
       "      <td>1184</td>\n",
       "      <td>816</td>\n",
       "      <td>138</td>\n",
       "      <td>54</td>\n",
       "      <td>34</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>24.57</td>\n",
       "      <td>0.90</td>\n",
       "      <td>14</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Jamaica</td>\n",
       "      <td>Queens</td>\n",
       "      <td>21</td>\n",
       "      <td>646</td>\n",
       "      <td>1691</td>\n",
       "      <td>1114</td>\n",
       "      <td>135</td>\n",
       "      <td>50</td>\n",
       "      <td>35</td>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>18.95</td>\n",
       "      <td>0.83</td>\n",
       "      <td>2</td>\n",
       "      <td>845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Port Richmond</td>\n",
       "      <td>Staten Island</td>\n",
       "      <td>25</td>\n",
       "      <td>460</td>\n",
       "      <td>1249</td>\n",
       "      <td>836</td>\n",
       "      <td>120</td>\n",
       "      <td>47</td>\n",
       "      <td>29</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>13.46</td>\n",
       "      <td>0.78</td>\n",
       "      <td>8</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>High Bridge and Morrisania</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>11</td>\n",
       "      <td>512</td>\n",
       "      <td>1302</td>\n",
       "      <td>824</td>\n",
       "      <td>92</td>\n",
       "      <td>46</td>\n",
       "      <td>30</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>33.13</td>\n",
       "      <td>0.77</td>\n",
       "      <td>1</td>\n",
       "      <td>1302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Southeast Queens</td>\n",
       "      <td>Queens</td>\n",
       "      <td>19</td>\n",
       "      <td>509</td>\n",
       "      <td>1421</td>\n",
       "      <td>975</td>\n",
       "      <td>112</td>\n",
       "      <td>44</td>\n",
       "      <td>29</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>18.29</td>\n",
       "      <td>0.73</td>\n",
       "      <td>3</td>\n",
       "      <td>473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Central Queens</td>\n",
       "      <td>Queens</td>\n",
       "      <td>14</td>\n",
       "      <td>403</td>\n",
       "      <td>1143</td>\n",
       "      <td>804</td>\n",
       "      <td>112</td>\n",
       "      <td>43</td>\n",
       "      <td>27</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>25.16</td>\n",
       "      <td>0.72</td>\n",
       "      <td>10</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Rockaways</td>\n",
       "      <td>Queens</td>\n",
       "      <td>17</td>\n",
       "      <td>424</td>\n",
       "      <td>1131</td>\n",
       "      <td>757</td>\n",
       "      <td>100</td>\n",
       "      <td>42</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>19.83</td>\n",
       "      <td>0.70</td>\n",
       "      <td>3</td>\n",
       "      <td>377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Northeast Bronx</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>14</td>\n",
       "      <td>475</td>\n",
       "      <td>1377</td>\n",
       "      <td>939</td>\n",
       "      <td>115</td>\n",
       "      <td>42</td>\n",
       "      <td>25</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>24.57</td>\n",
       "      <td>0.70</td>\n",
       "      <td>3</td>\n",
       "      <td>459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Bronx Park and Fordham</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>13</td>\n",
       "      <td>668</td>\n",
       "      <td>1624</td>\n",
       "      <td>997</td>\n",
       "      <td>115</td>\n",
       "      <td>38</td>\n",
       "      <td>22</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>23.93</td>\n",
       "      <td>0.63</td>\n",
       "      <td>4</td>\n",
       "      <td>406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Hunts Point and Mott Haven</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>13</td>\n",
       "      <td>502</td>\n",
       "      <td>1273</td>\n",
       "      <td>816</td>\n",
       "      <td>93</td>\n",
       "      <td>30</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>18.20</td>\n",
       "      <td>0.50</td>\n",
       "      <td>1</td>\n",
       "      <td>1273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>East New York and New Lots</td>\n",
       "      <td>Brooklyn</td>\n",
       "      <td>12</td>\n",
       "      <td>514</td>\n",
       "      <td>1273</td>\n",
       "      <td>784</td>\n",
       "      <td>61</td>\n",
       "      <td>26</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>16.72</td>\n",
       "      <td>0.43</td>\n",
       "      <td>6</td>\n",
       "      <td>212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Central Bronx</td>\n",
       "      <td>Bronx</td>\n",
       "      <td>8</td>\n",
       "      <td>506</td>\n",
       "      <td>1159</td>\n",
       "      <td>692</td>\n",
       "      <td>81</td>\n",
       "      <td>22</td>\n",
       "      <td>14</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>22.42</td>\n",
       "      <td>0.37</td>\n",
       "      <td>1</td>\n",
       "      <td>1159</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Neighborhood        Borough  CY2014  CY2015  CY2016  \\\n",
       "0                 Upper West Side      Manhattan     177    2807    7679   \n",
       "1              Northwest Brooklyn       Brooklyn     139    2591    6728   \n",
       "2             Chelsea and Clinton      Manhattan     113    2312    5995   \n",
       "3                 Upper East Side      Manhattan     126    2689    7265   \n",
       "4                 Lower East Side      Manhattan      89    1817    4770   \n",
       "5   Gramercy Park and Murray Hill      Manhattan      73    1486    3912   \n",
       "6      Greenwich Village and Soho      Manhattan      59    1155    3077   \n",
       "7                     West Queens         Queens      53    1694    4452   \n",
       "8                     South Shore  Staten Island      63    1803    5567   \n",
       "9                Northwest Queens         Queens      59    1264    3402   \n",
       "10            West Central Queens         Queens      60    1330    3986   \n",
       "11                Southeast Bronx          Bronx      44    1501    4259   \n",
       "12               Central Brooklyn       Brooklyn      42    1132    2969   \n",
       "13  Inwood and Washington Heights      Manhattan      42    1211    3161   \n",
       "14               Southwest Queens         Queens      26    1078    2929   \n",
       "15                    East Harlem      Manhattan      25     779    2096   \n",
       "16                     Greenpoint       Brooklyn      63     797    1979   \n",
       "17                 Central Harlem      Manhattan      37     885    2268   \n",
       "18             Southwest Brooklyn       Brooklyn      60    1145    3202   \n",
       "19              Southern Brooklyn       Brooklyn      48    1198    3277   \n",
       "20                Lower Manhattan      Manhattan      35     711    1779   \n",
       "21                   North Queens         Queens      34    1060    3007   \n",
       "22                   Borough Park       Brooklyn      30     915    2540   \n",
       "23      Bushwick and Williamsburg       Brooklyn      31    1066    2562   \n",
       "24       Stapleton and St. George  Staten Island      33     830    2352   \n",
       "25                     Mid-Island  Staten Island      32     637    1971   \n",
       "26         Canarsie and Flatlands       Brooklyn      28     779    2077   \n",
       "27      Kingsbridge and Riverdale          Bronx      37     568    1573   \n",
       "28               Northeast Queens         Queens      23     480    1464   \n",
       "29                       Flatbush       Brooklyn      13     741    1906   \n",
       "30                    Sunset Park       Brooklyn      18     442    1184   \n",
       "31                        Jamaica         Queens      21     646    1691   \n",
       "32                  Port Richmond  Staten Island      25     460    1249   \n",
       "33     High Bridge and Morrisania          Bronx      11     512    1302   \n",
       "34               Southeast Queens         Queens      19     509    1421   \n",
       "35                 Central Queens         Queens      14     403    1143   \n",
       "36                      Rockaways         Queens      17     424    1131   \n",
       "37                Northeast Bronx          Bronx      14     475    1377   \n",
       "38         Bronx Park and Fordham          Bronx      13     668    1624   \n",
       "39     Hunts Point and Mott Haven          Bronx      13     502    1273   \n",
       "40     East New York and New Lots       Brooklyn      12     514    1273   \n",
       "41                  Central Bronx          Bronx       8     506    1159   \n",
       "\n",
       "    CY2017  CY2018  CY2019  CY2020  CY2021  CY2022  5Y CAGR 2014-2019  \\\n",
       "0     5484    1121     505     316     140       5              23.33   \n",
       "1     4736     998     494     334     151       6              28.87   \n",
       "2     4163     904     448     310     157       2              31.72   \n",
       "3     5089     976     444     298     140       3              28.65   \n",
       "4     3273     657     327     184      92       1              29.73   \n",
       "5     2723     583     280     192      95       2              30.85   \n",
       "6     2180     485     244     173      87       1              32.83   \n",
       "7     2999     465     209     135      65       1              31.58   \n",
       "8     4025     454     175     104      52       1              22.67   \n",
       "9     2337     388     173     117      64       1              24.00   \n",
       "10    2842     384     164     103      55       1              22.28   \n",
       "11    2943     392     159     112      62       2              29.30   \n",
       "12    1996     327     154      84      34       1              29.67   \n",
       "13    2137     351     149      96      46       0              28.82   \n",
       "14    1969     294     135      91      49       1              39.02   \n",
       "15    1422     248     127      88      48       3              38.41   \n",
       "16    1344     258     127      70      31       0              15.05   \n",
       "17    1532     276     123      80      46       3              27.16   \n",
       "18    2226     293     122      76      45       1              15.25   \n",
       "19    2219     266     122      76      41       2              20.51   \n",
       "20    1217     261     121      80      38       0              28.16   \n",
       "21    2079     266     120      82      49       1              28.69   \n",
       "22    1770     282     112      82      45       0              30.14   \n",
       "23    1637     250     100      55      33       1              26.39   \n",
       "24    1627     204      76      53      26       0              18.16   \n",
       "25    1413     151      73      49      31       4              17.93   \n",
       "26    1392     159      66      39      19       0              18.71   \n",
       "27    1092     156      61      35      17       1              10.52   \n",
       "28    1049     160      58      40      21       2              20.32   \n",
       "29    1236     168      55      31      16       1              33.44   \n",
       "30     816     138      54      34      15       0              24.57   \n",
       "31    1114     135      50      35      17       0              18.95   \n",
       "32     836     120      47      29      15       0              13.46   \n",
       "33     824      92      46      30      13       0              33.13   \n",
       "34     975     112      44      29      12       1              18.29   \n",
       "35     804     112      43      27      14       2              25.16   \n",
       "36     757     100      42      19      10       0              19.83   \n",
       "37     939     115      42      25      17       1              24.57   \n",
       "38     997     115      38      22      10       0              23.93   \n",
       "39     816      93      30      19       6       0              18.20   \n",
       "40     784      61      26      16       8       1              16.72   \n",
       "41     692      81      22      14       8       0              22.42   \n",
       "\n",
       "    Share 2019  Stores  Dogs per Store  \n",
       "0         8.41      65             118  \n",
       "1         8.22      94              71  \n",
       "2         7.46      79              75  \n",
       "3         7.39      72             100  \n",
       "4         5.44      47             101  \n",
       "5         4.66      42              93  \n",
       "6         4.06      44              69  \n",
       "7         3.48      23             193  \n",
       "8         2.91      16             347  \n",
       "9         2.88      73              46  \n",
       "10        2.73      40              99  \n",
       "11        2.65      10             425  \n",
       "12        2.56      24             123  \n",
       "13        2.48      27             117  \n",
       "14        2.25      26             112  \n",
       "15        2.11      13             161  \n",
       "16        2.11      44              44  \n",
       "17        2.05      12             189  \n",
       "18        2.03      28             114  \n",
       "19        2.03      22             148  \n",
       "20        2.01      20              88  \n",
       "21        2.00      32              93  \n",
       "22        1.86      21             120  \n",
       "23        1.66      34              75  \n",
       "24        1.27       5             470  \n",
       "25        1.22      10             197  \n",
       "26        1.10      18             115  \n",
       "27        1.02      10             157  \n",
       "28        0.97      13             112  \n",
       "29        0.92      18             105  \n",
       "30        0.90      14              84  \n",
       "31        0.83       2             845  \n",
       "32        0.78       8             156  \n",
       "33        0.77       1            1302  \n",
       "34        0.73       3             473  \n",
       "35        0.72      10             114  \n",
       "36        0.70       3             377  \n",
       "37        0.70       3             459  \n",
       "38        0.63       4             406  \n",
       "39        0.50       1            1273  \n",
       "40        0.43       6             212  \n",
       "41        0.37       1            1159  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bcg_matrix = pd.merge(dog_growth, n_concentration, on=key, how='left')\n",
    "bcg_matrix = bcg_matrix.drop(columns=['Share %', 'Concentration Index'])\n",
    "bcg_matrix['Dogs per Store'] = bcg_matrix['CY2016'] / bcg_matrix['Stores']\n",
    "bcg_matrix['Dogs per Store'] = bcg_matrix['Dogs per Store'].astype(int)\n",
    "bcg_matrix['5Y CAGR 2014-2019'] = bcg_matrix['5Y CAGR 2014-2019'].round(2)\n",
    "bcg_matrix['Share 2019'] = bcg_matrix['Share 2019'].round(2)\n",
    "bcg_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>CY2014</th>\n",
       "      <th>CY2015</th>\n",
       "      <th>CY2016</th>\n",
       "      <th>CY2017</th>\n",
       "      <th>CY2018</th>\n",
       "      <th>CY2019</th>\n",
       "      <th>CY2020</th>\n",
       "      <th>CY2021</th>\n",
       "      <th>CY2022</th>\n",
       "      <th>5Y CAGR 2014-2019</th>\n",
       "      <th>Share 2019</th>\n",
       "      <th>Stores</th>\n",
       "      <th>Dogs per Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.00000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>42.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>44.738095</td>\n",
       "      <td>1060.047619</td>\n",
       "      <td>2857.880952</td>\n",
       "      <td>1964.404762</td>\n",
       "      <td>320.261905</td>\n",
       "      <td>143.02381</td>\n",
       "      <td>92.476190</td>\n",
       "      <td>46.190476</td>\n",
       "      <td>1.238095</td>\n",
       "      <td>24.795000</td>\n",
       "      <td>2.380952</td>\n",
       "      <td>24.714286</td>\n",
       "      <td>265.166667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>37.001687</td>\n",
       "      <td>639.674687</td>\n",
       "      <td>1739.987780</td>\n",
       "      <td>1244.729005</td>\n",
       "      <td>264.212503</td>\n",
       "      <td>128.59892</td>\n",
       "      <td>85.566188</td>\n",
       "      <td>40.302659</td>\n",
       "      <td>1.393531</td>\n",
       "      <td>6.665151</td>\n",
       "      <td>2.140296</td>\n",
       "      <td>23.458615</td>\n",
       "      <td>318.395207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>8.000000</td>\n",
       "      <td>403.000000</td>\n",
       "      <td>1131.000000</td>\n",
       "      <td>692.000000</td>\n",
       "      <td>61.000000</td>\n",
       "      <td>22.00000</td>\n",
       "      <td>14.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.520000</td>\n",
       "      <td>0.370000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>44.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>19.500000</td>\n",
       "      <td>527.500000</td>\n",
       "      <td>1491.250000</td>\n",
       "      <td>1010.000000</td>\n",
       "      <td>135.750000</td>\n",
       "      <td>51.00000</td>\n",
       "      <td>31.750000</td>\n",
       "      <td>16.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>19.170000</td>\n",
       "      <td>0.847500</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>99.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>33.500000</td>\n",
       "      <td>857.500000</td>\n",
       "      <td>2310.000000</td>\n",
       "      <td>1579.500000</td>\n",
       "      <td>259.500000</td>\n",
       "      <td>120.50000</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>24.570000</td>\n",
       "      <td>2.005000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>119.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>59.000000</td>\n",
       "      <td>1250.750000</td>\n",
       "      <td>3370.750000</td>\n",
       "      <td>2309.250000</td>\n",
       "      <td>387.000000</td>\n",
       "      <td>162.75000</td>\n",
       "      <td>103.750000</td>\n",
       "      <td>54.250000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>29.577500</td>\n",
       "      <td>2.710000</td>\n",
       "      <td>33.500000</td>\n",
       "      <td>313.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>177.000000</td>\n",
       "      <td>2807.000000</td>\n",
       "      <td>7679.000000</td>\n",
       "      <td>5484.000000</td>\n",
       "      <td>1121.000000</td>\n",
       "      <td>505.00000</td>\n",
       "      <td>334.000000</td>\n",
       "      <td>157.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>39.020000</td>\n",
       "      <td>8.410000</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>1302.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           CY2014       CY2015       CY2016       CY2017       CY2018  \\\n",
       "count   42.000000    42.000000    42.000000    42.000000    42.000000   \n",
       "mean    44.738095  1060.047619  2857.880952  1964.404762   320.261905   \n",
       "std     37.001687   639.674687  1739.987780  1244.729005   264.212503   \n",
       "min      8.000000   403.000000  1131.000000   692.000000    61.000000   \n",
       "25%     19.500000   527.500000  1491.250000  1010.000000   135.750000   \n",
       "50%     33.500000   857.500000  2310.000000  1579.500000   259.500000   \n",
       "75%     59.000000  1250.750000  3370.750000  2309.250000   387.000000   \n",
       "max    177.000000  2807.000000  7679.000000  5484.000000  1121.000000   \n",
       "\n",
       "          CY2019      CY2020      CY2021     CY2022  5Y CAGR 2014-2019  \\\n",
       "count   42.00000   42.000000   42.000000  42.000000          42.000000   \n",
       "mean   143.02381   92.476190   46.190476   1.238095          24.795000   \n",
       "std    128.59892   85.566188   40.302659   1.393531           6.665151   \n",
       "min     22.00000   14.000000    6.000000   0.000000          10.520000   \n",
       "25%     51.00000   31.750000   16.250000   0.000000          19.170000   \n",
       "50%    120.50000   76.000000   36.000000   1.000000          24.570000   \n",
       "75%    162.75000  103.750000   54.250000   2.000000          29.577500   \n",
       "max    505.00000  334.000000  157.000000   6.000000          39.020000   \n",
       "\n",
       "       Share 2019     Stores  Dogs per Store  \n",
       "count   42.000000  42.000000       42.000000  \n",
       "mean     2.380952  24.714286      265.166667  \n",
       "std      2.140296  23.458615      318.395207  \n",
       "min      0.370000   1.000000       44.000000  \n",
       "25%      0.847500   8.500000       99.250000  \n",
       "50%      2.005000  18.000000      119.000000  \n",
       "75%      2.710000  33.500000      313.250000  \n",
       "max      8.410000  94.000000     1302.000000  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bcg_matrix.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(9.549999999999997, 0.5, '5-Year CAGR from 2014 to 2019 [%]')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "ax = sns.relplot(x='Share 2019',\n",
    "            y='5Y CAGR 2014-2019',\n",
    "            hue='Dogs per Store',\n",
    "            palette=sns.color_palette(\"RdYlGn\", 38),\n",
    "            size='Stores',\n",
    "            sizes=(100,10000),\n",
    "            data=bcg_matrix,\n",
    "            legend=False,\n",
    "            height=10);\n",
    "sns.set_style('darkgrid')\n",
    "ax.set(xlim=(0, 10))\n",
    "ax.set(ylim=(0, 45))\n",
    "plt.xlabel('Market Share in 2019 [%]')\n",
    "plt.ylabel('5-Year CAGR from 2014 to 2019 [%]')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#close connection\n",
    "close_c_conn()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "38"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(bcg_matrix['Dogs per Store'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly\n",
    "plotly.tools.set_credentials_file(username=plotly_id, api_key=plotly_key)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.7/site-packages/IPython/core/display.py:689: UserWarning:\n",
      "\n",
      "Consider using IPython.display.IFrame instead\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~adam.c.dick/2.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import plotly.plotly as py\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "hover_text = []\n",
    "color_range = []\n",
    "for index, row in bcg_matrix.iterrows():\n",
    "    hover_text.append(('Borough: {borough}<br>'+\n",
    "                      'Neighborhood: {neighborhood}<br>'+\n",
    "                      'Share: {share}%<br>'+\n",
    "                      'Growth: {growth}%<br>'+\n",
    "                      'Stores: {stores}<br>'+\n",
    "                      'Dogs per Store: {pps}').format(borough=row['Borough'],\n",
    "                                            neighborhood=row['Neighborhood'],\n",
    "                                            share=row['Share 2019'],\n",
    "                                            growth=row['5Y CAGR 2014-2019'],\n",
    "                                            stores=row['Stores'],\n",
    "                                            pps=row['Dogs per Store']))\n",
    "    color_range.append(min(row['Dogs per Store'],120))\n",
    "\n",
    "trace0 = go.Scatter(\n",
    "    x=bcg_matrix['Share 2019'],\n",
    "    y=bcg_matrix['5Y CAGR 2014-2019'],\n",
    "    text=hover_text,\n",
    "    mode='markers',\n",
    "    marker=dict(\n",
    "        size=bcg_matrix['Stores'],\n",
    "        color=color_range,\n",
    "        showscale=True,\n",
    "        reversescale=True,\n",
    "        colorbar=dict(\n",
    "                title='Dogs<br>Per<br>Store<br>(2016)'\n",
    "            ),\n",
    "        colorscale='RdBu'\n",
    "    )\n",
    ")\n",
    "\n",
    "data = [trace0]\n",
    "layout = go.Layout(\n",
    "    title='Growth-Share Matrix of Licensed Dogs in New York by Neighborhood',\n",
    "    xaxis=dict(\n",
    "        title='Neighborhood Share of Licensed Dogs, 2019 [%]',\n",
    "        gridcolor='rgb(255, 255, 255)',\n",
    "        zerolinewidth=1,\n",
    "        ticklen=5,\n",
    "        gridwidth=2,\n",
    "    ),\n",
    "    yaxis=dict(\n",
    "        title='5-Year CAGR of Licensed Dogs, 2014-2019 [%]',\n",
    "        gridcolor='rgb(255, 255, 255)',\n",
    "        zerolinewidth=1,\n",
    "        ticklen=5,\n",
    "        gridwidth=2,\n",
    "    ),\n",
    "    paper_bgcolor='rgb(243, 243, 243)',\n",
    "    plot_bgcolor='rgb(243, 243, 243)',\n",
    ")\n",
    "\n",
    "fig = go.Figure(data=data, layout=layout)\n",
    "py.iplot(fig, filename='bcg-matrix')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}