EXL_R1_1.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns\n",
    "sns.set_style('whitegrid')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "File = pd.ExcelFile(r\"C:\\Users\\welcome\\Desktop\\EXL CASES\\ROUND 2\\Data.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'Demographics',\n",
       " u'Store Mapping',\n",
       " u'Category Mapping',\n",
       " u'Ping_Information',\n",
       " u'Variable Descriptions']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "File.sheet_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>Shopper_Id</th>\n",
       "      <th>ID</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Marital_Status</th>\n",
       "      <th>Owns_Home</th>\n",
       "      <th>Number_of_Children_under_18_years_of_age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>831b9564-99d7-3b57-a9c0-3ac1f31560d5</td>\n",
       "      <td>23</td>\n",
       "      <td>F</td>\n",
       "      <td>D</td>\n",
       "      <td>N</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_2</td>\n",
       "      <td>1bd5093b-5a76-3ccc-b0d2-37695a858a95</td>\n",
       "      <td>42</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>N</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_3</td>\n",
       "      <td>d08139f8-c50d-3472-adf8-6dcc4724164c</td>\n",
       "      <td>51</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>N</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_4</td>\n",
       "      <td>29b285af-f631-3100-9a4e-5de09df7f974</td>\n",
       "      <td>35</td>\n",
       "      <td>F</td>\n",
       "      <td>D</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_5</td>\n",
       "      <td>63fc3248-9900-3074-b887-c6ed6d73d0e3</td>\n",
       "      <td>42</td>\n",
       "      <td>M</td>\n",
       "      <td>S</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shopper_6</td>\n",
       "      <td>3fe4135c-06c1-395c-923d-f10f3552dd75</td>\n",
       "      <td>50</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Shopper_7</td>\n",
       "      <td>725954b6-5227-3d88-b6bf-8a6b822dd8d4</td>\n",
       "      <td>40</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Shopper_8</td>\n",
       "      <td>c0b4b558-84e1-3400-8f6f-18db12478292</td>\n",
       "      <td>58</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shopper_9</td>\n",
       "      <td>eca4c7c4-7b92-3648-ba55-f84020ced575</td>\n",
       "      <td>36</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>39a86f65-f08d-330b-8d37-57d082631adf</td>\n",
       "      <td>56</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Shopper_11</td>\n",
       "      <td>178732a0-709f-37de-8188-becd7d4f859f</td>\n",
       "      <td>23</td>\n",
       "      <td>F</td>\n",
       "      <td>S</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Shopper_12</td>\n",
       "      <td>b78feb44-2b0b-3131-9935-f0802c08db3f</td>\n",
       "      <td>61</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Shopper_13</td>\n",
       "      <td>9cc20ae7-6b44-3c97-9f51-76789bbcf275</td>\n",
       "      <td>76</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shopper_14</td>\n",
       "      <td>43eefca9-9f82-3adc-8efe-decc03100807</td>\n",
       "      <td>50</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Shopper_15</td>\n",
       "      <td>00d93a11-9304-345c-917a-c9be3ff4e999</td>\n",
       "      <td>25</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shopper_16</td>\n",
       "      <td>e4b8f1dd-cd15-3477-8b38-f12b22c1e00d</td>\n",
       "      <td>71</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shopper_17</td>\n",
       "      <td>1d367279-918a-3a87-9fe4-148b0b57fbaa</td>\n",
       "      <td>66</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shopper_18</td>\n",
       "      <td>96d2a6dc-0fc6-3539-a56d-3753a9cf7d95</td>\n",
       "      <td>28</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shopper_19</td>\n",
       "      <td>6b98b21d-5de8-342b-a74f-2e22b17d567a</td>\n",
       "      <td>36</td>\n",
       "      <td>M</td>\n",
       "      <td>S</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shopper_20</td>\n",
       "      <td>0e2bda2d-9447-3963-ac56-c18b34892350</td>\n",
       "      <td>61</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Shopper_21</td>\n",
       "      <td>23d3ea98-d569-39f7-bf85-3a8c6804779e</td>\n",
       "      <td>39</td>\n",
       "      <td>F</td>\n",
       "      <td>D</td>\n",
       "      <td>N</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Shopper_22</td>\n",
       "      <td>8a3fed0d-2b89-3c23-81b3-e574d09cff1c</td>\n",
       "      <td>63</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Shopper_23</td>\n",
       "      <td>9595b3cd-9cca-358a-9332-beb3fc866adf</td>\n",
       "      <td>77</td>\n",
       "      <td>M</td>\n",
       "      <td>D</td>\n",
       "      <td>Y</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Shopper_24</td>\n",
       "      <td>59081e1d-5dcc-3611-906e-eb9bce76f678</td>\n",
       "      <td>56</td>\n",
       "      <td>M</td>\n",
       "      <td>S</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shopper_25</td>\n",
       "      <td>18dd5301-f972-3a99-b2bf-00e76e43eecd</td>\n",
       "      <td>80</td>\n",
       "      <td>F</td>\n",
       "      <td>S</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Shopper_26</td>\n",
       "      <td>d3b1c83b-e81d-39b5-b05f-5e56e788118a</td>\n",
       "      <td>64</td>\n",
       "      <td>F</td>\n",
       "      <td>S</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shopper_27</td>\n",
       "      <td>9240bfdc-f217-3f15-8a25-56275b126406</td>\n",
       "      <td>62</td>\n",
       "      <td>M</td>\n",
       "      <td>S</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shopper_28</td>\n",
       "      <td>bc811f9d-e05a-33bf-ac77-f2885989841f</td>\n",
       "      <td>46</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shopper_29</td>\n",
       "      <td>8fa6c30a-ae6f-39fb-9e19-76689d8235d9</td>\n",
       "      <td>23</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Shopper_30</td>\n",
       "      <td>92a3e8dd-449c-3e91-ab67-345909ace019</td>\n",
       "      <td>46</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>537</th>\n",
       "      <td>Shopper_538</td>\n",
       "      <td>09fb9cf4-2b53-39d0-ba0d-d1bab7a4588f</td>\n",
       "      <td>24</td>\n",
       "      <td>F</td>\n",
       "      <td>S</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</th>\n",
       "      <td>Shopper_539</td>\n",
       "      <td>3ebdd444-6192-3dbd-9731-91563c743057</td>\n",
       "      <td>63</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539</th>\n",
       "      <td>Shopper_540</td>\n",
       "      <td>0093f844-f100-3ff0-8d87-38cea990e4fd</td>\n",
       "      <td>45</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>N</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>540</th>\n",
       "      <td>Shopper_541</td>\n",
       "      <td>752f68b4-12e2-3d3e-a009-23fc7a7e2545</td>\n",
       "      <td>31</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>541</th>\n",
       "      <td>Shopper_542</td>\n",
       "      <td>32db0e93-9276-3ff3-9666-4223d7b96490</td>\n",
       "      <td>58</td>\n",
       "      <td>F</td>\n",
       "      <td>S</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>Shopper_543</td>\n",
       "      <td>2aeddf52-6dc6-39d6-becb-877e717d0e23</td>\n",
       "      <td>49</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543</th>\n",
       "      <td>Shopper_544</td>\n",
       "      <td>c7c8b32c-055f-3dd1-9bbf-b89ea7ec4c44</td>\n",
       "      <td>68</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>544</th>\n",
       "      <td>Shopper_545</td>\n",
       "      <td>853923ef-9e74-3bd7-b1db-078e63bfc0ca</td>\n",
       "      <td>55</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>545</th>\n",
       "      <td>Shopper_546</td>\n",
       "      <td>c4298718-00e8-349b-bc68-daa2e68f6287</td>\n",
       "      <td>61</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>546</th>\n",
       "      <td>Shopper_547</td>\n",
       "      <td>dc2410cb-3c2e-3672-bf58-5cad8ebd80fd</td>\n",
       "      <td>72</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>Shopper_548</td>\n",
       "      <td>d7cff28f-89f8-3c95-bee8-05306fe437b9</td>\n",
       "      <td>62</td>\n",
       "      <td>F</td>\n",
       "      <td>S</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>548</th>\n",
       "      <td>Shopper_549</td>\n",
       "      <td>4a1aeea8-bf02-31ce-ae80-054d0d71663f</td>\n",
       "      <td>56</td>\n",
       "      <td>M</td>\n",
       "      <td>S</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>549</th>\n",
       "      <td>Shopper_550</td>\n",
       "      <td>e6d9272b-b5ab-33a1-b334-da4de6b2d352</td>\n",
       "      <td>68</td>\n",
       "      <td>F</td>\n",
       "      <td>S</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>Shopper_551</td>\n",
       "      <td>662e858c-a7a8-3aa0-a028-82f2cc9d7108</td>\n",
       "      <td>77</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>551</th>\n",
       "      <td>Shopper_552</td>\n",
       "      <td>7444d133-1a7a-33e9-b6d0-e5838ad5ec7a</td>\n",
       "      <td>42</td>\n",
       "      <td>M</td>\n",
       "      <td>S</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>552</th>\n",
       "      <td>Shopper_553</td>\n",
       "      <td>77d9cc00-f1b6-38dd-a887-572f663c11c4</td>\n",
       "      <td>67</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>553</th>\n",
       "      <td>Shopper_554</td>\n",
       "      <td>7254bebe-09b0-3359-9d5d-d55d00353e25</td>\n",
       "      <td>61</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>554</th>\n",
       "      <td>Shopper_555</td>\n",
       "      <td>61f76c1f-54db-3542-99d9-bed6bb1441bd</td>\n",
       "      <td>71</td>\n",
       "      <td>M</td>\n",
       "      <td>S</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>555</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>0998e032-56c2-3579-8518-5f9260d17dec</td>\n",
       "      <td>45</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</th>\n",
       "      <td>Shopper_557</td>\n",
       "      <td>c1757a9e-2f29-3a9d-9ffb-cbb9fd20f69b</td>\n",
       "      <td>44</td>\n",
       "      <td>F</td>\n",
       "      <td>S</td>\n",
       "      <td>N</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557</th>\n",
       "      <td>Shopper_558</td>\n",
       "      <td>5b262605-4c8a-32ff-b917-bcf23c986cae</td>\n",
       "      <td>22</td>\n",
       "      <td>M</td>\n",
       "      <td>S</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>Shopper_559</td>\n",
       "      <td>299782a2-5b9b-3233-836a-57fb2c7b0874</td>\n",
       "      <td>62</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>Shopper_560</td>\n",
       "      <td>c18719bc-d3f3-3db1-9220-c9261e928ea4</td>\n",
       "      <td>49</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>Shopper_561</td>\n",
       "      <td>432d56d7-c301-34b8-bd4a-69bd3e5e125d</td>\n",
       "      <td>27</td>\n",
       "      <td>F</td>\n",
       "      <td>S</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>Shopper_562</td>\n",
       "      <td>3ba1d8a5-4150-3e03-a52a-ae08393f17dd</td>\n",
       "      <td>64</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>Shopper_563</td>\n",
       "      <td>131b6acc-649d-3d5b-bd84-0385c4e360a5</td>\n",
       "      <td>27</td>\n",
       "      <td>F</td>\n",
       "      <td>S</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>Shopper_564</td>\n",
       "      <td>24761403-2ff6-3b82-8861-1f8c91f9b8be</td>\n",
       "      <td>60</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>Shopper_565</td>\n",
       "      <td>72b79daa-a4c1-375a-9303-f4f5580a6096</td>\n",
       "      <td>45</td>\n",
       "      <td>F</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>Shopper_566</td>\n",
       "      <td>fe03a8f8-2624-3440-9ff5-45037d4afcdc</td>\n",
       "      <td>93</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>Shopper_567</td>\n",
       "      <td>ec58077c-fc04-34a4-af31-d951098e224d</td>\n",
       "      <td>48</td>\n",
       "      <td>M</td>\n",
       "      <td>M</td>\n",
       "      <td>Y</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>567 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Shopper_Id                                    ID  Age Gender  \\\n",
       "0      Shopper_1  831b9564-99d7-3b57-a9c0-3ac1f31560d5   23      F   \n",
       "1      Shopper_2  1bd5093b-5a76-3ccc-b0d2-37695a858a95   42      F   \n",
       "2      Shopper_3  d08139f8-c50d-3472-adf8-6dcc4724164c   51      F   \n",
       "3      Shopper_4  29b285af-f631-3100-9a4e-5de09df7f974   35      F   \n",
       "4      Shopper_5  63fc3248-9900-3074-b887-c6ed6d73d0e3   42      M   \n",
       "5      Shopper_6  3fe4135c-06c1-395c-923d-f10f3552dd75   50      M   \n",
       "6      Shopper_7  725954b6-5227-3d88-b6bf-8a6b822dd8d4   40      M   \n",
       "7      Shopper_8  c0b4b558-84e1-3400-8f6f-18db12478292   58      M   \n",
       "8      Shopper_9  eca4c7c4-7b92-3648-ba55-f84020ced575   36      F   \n",
       "9     Shopper_10  39a86f65-f08d-330b-8d37-57d082631adf   56      F   \n",
       "10    Shopper_11  178732a0-709f-37de-8188-becd7d4f859f   23      F   \n",
       "11    Shopper_12  b78feb44-2b0b-3131-9935-f0802c08db3f   61      M   \n",
       "12    Shopper_13  9cc20ae7-6b44-3c97-9f51-76789bbcf275   76      M   \n",
       "13    Shopper_14  43eefca9-9f82-3adc-8efe-decc03100807   50      M   \n",
       "14    Shopper_15  00d93a11-9304-345c-917a-c9be3ff4e999   25      F   \n",
       "15    Shopper_16  e4b8f1dd-cd15-3477-8b38-f12b22c1e00d   71      M   \n",
       "16    Shopper_17  1d367279-918a-3a87-9fe4-148b0b57fbaa   66      F   \n",
       "17    Shopper_18  96d2a6dc-0fc6-3539-a56d-3753a9cf7d95   28      F   \n",
       "18    Shopper_19  6b98b21d-5de8-342b-a74f-2e22b17d567a   36      M   \n",
       "19    Shopper_20  0e2bda2d-9447-3963-ac56-c18b34892350   61      F   \n",
       "20    Shopper_21  23d3ea98-d569-39f7-bf85-3a8c6804779e   39      F   \n",
       "21    Shopper_22  8a3fed0d-2b89-3c23-81b3-e574d09cff1c   63      M   \n",
       "22    Shopper_23  9595b3cd-9cca-358a-9332-beb3fc866adf   77      M   \n",
       "23    Shopper_24  59081e1d-5dcc-3611-906e-eb9bce76f678   56      M   \n",
       "24    Shopper_25  18dd5301-f972-3a99-b2bf-00e76e43eecd   80      F   \n",
       "25    Shopper_26  d3b1c83b-e81d-39b5-b05f-5e56e788118a   64      F   \n",
       "26    Shopper_27  9240bfdc-f217-3f15-8a25-56275b126406   62      M   \n",
       "27    Shopper_28  bc811f9d-e05a-33bf-ac77-f2885989841f   46      F   \n",
       "28    Shopper_29  8fa6c30a-ae6f-39fb-9e19-76689d8235d9   23      F   \n",
       "29    Shopper_30  92a3e8dd-449c-3e91-ab67-345909ace019   46      F   \n",
       "..           ...                                   ...  ...    ...   \n",
       "537  Shopper_538  09fb9cf4-2b53-39d0-ba0d-d1bab7a4588f   24      F   \n",
       "538  Shopper_539  3ebdd444-6192-3dbd-9731-91563c743057   63      M   \n",
       "539  Shopper_540  0093f844-f100-3ff0-8d87-38cea990e4fd   45      M   \n",
       "540  Shopper_541  752f68b4-12e2-3d3e-a009-23fc7a7e2545   31      F   \n",
       "541  Shopper_542  32db0e93-9276-3ff3-9666-4223d7b96490   58      F   \n",
       "542  Shopper_543  2aeddf52-6dc6-39d6-becb-877e717d0e23   49      F   \n",
       "543  Shopper_544  c7c8b32c-055f-3dd1-9bbf-b89ea7ec4c44   68      M   \n",
       "544  Shopper_545  853923ef-9e74-3bd7-b1db-078e63bfc0ca   55      M   \n",
       "545  Shopper_546  c4298718-00e8-349b-bc68-daa2e68f6287   61      F   \n",
       "546  Shopper_547  dc2410cb-3c2e-3672-bf58-5cad8ebd80fd   72      M   \n",
       "547  Shopper_548  d7cff28f-89f8-3c95-bee8-05306fe437b9   62      F   \n",
       "548  Shopper_549  4a1aeea8-bf02-31ce-ae80-054d0d71663f   56      M   \n",
       "549  Shopper_550  e6d9272b-b5ab-33a1-b334-da4de6b2d352   68      F   \n",
       "550  Shopper_551  662e858c-a7a8-3aa0-a028-82f2cc9d7108   77      M   \n",
       "551  Shopper_552  7444d133-1a7a-33e9-b6d0-e5838ad5ec7a   42      M   \n",
       "552  Shopper_553  77d9cc00-f1b6-38dd-a887-572f663c11c4   67      M   \n",
       "553  Shopper_554  7254bebe-09b0-3359-9d5d-d55d00353e25   61      M   \n",
       "554  Shopper_555  61f76c1f-54db-3542-99d9-bed6bb1441bd   71      M   \n",
       "555  Shopper_556  0998e032-56c2-3579-8518-5f9260d17dec   45      F   \n",
       "556  Shopper_557  c1757a9e-2f29-3a9d-9ffb-cbb9fd20f69b   44      F   \n",
       "557  Shopper_558  5b262605-4c8a-32ff-b917-bcf23c986cae   22      M   \n",
       "558  Shopper_559  299782a2-5b9b-3233-836a-57fb2c7b0874   62      F   \n",
       "559  Shopper_560  c18719bc-d3f3-3db1-9220-c9261e928ea4   49      M   \n",
       "560  Shopper_561  432d56d7-c301-34b8-bd4a-69bd3e5e125d   27      F   \n",
       "561  Shopper_562  3ba1d8a5-4150-3e03-a52a-ae08393f17dd   64      F   \n",
       "562  Shopper_563  131b6acc-649d-3d5b-bd84-0385c4e360a5   27      F   \n",
       "563  Shopper_564  24761403-2ff6-3b82-8861-1f8c91f9b8be   60      M   \n",
       "564  Shopper_565  72b79daa-a4c1-375a-9303-f4f5580a6096   45      F   \n",
       "565  Shopper_566  fe03a8f8-2624-3440-9ff5-45037d4afcdc   93      M   \n",
       "566  Shopper_567  ec58077c-fc04-34a4-af31-d951098e224d   48      M   \n",
       "\n",
       "    Marital_Status Owns_Home  Number_of_Children_under_18_years_of_age  \n",
       "0                D         N                                         1  \n",
       "1                M         N                                         1  \n",
       "2                M         N                                         1  \n",
       "3                D         N                                         2  \n",
       "4                S         N                                         0  \n",
       "5                M         Y                                         1  \n",
       "6                M         Y                                         0  \n",
       "7                M         Y                                         0  \n",
       "8                M         N                                         2  \n",
       "9                M         Y                                         1  \n",
       "10               S         N                                         0  \n",
       "11               M         Y                                         0  \n",
       "12               M         Y                                         2  \n",
       "13               M         Y                                         2  \n",
       "14               M         Y                                         0  \n",
       "15               M         Y                                         0  \n",
       "16               M         N                                         0  \n",
       "17               M         Y                                         2  \n",
       "18               S         N                                         0  \n",
       "19               M         Y                                         0  \n",
       "20               D         N                                         1  \n",
       "21               M         N                                         0  \n",
       "22               D         Y                                         1  \n",
       "23               S         Y                                         0  \n",
       "24               S         Y                                         0  \n",
       "25               S         Y                                         0  \n",
       "26               S         Y                                         0  \n",
       "27               M         Y                                         3  \n",
       "28               M         N                                         0  \n",
       "29               M         Y                                         0  \n",
       "..             ...       ...                                       ...  \n",
       "537              S         Y                                         0  \n",
       "538              M         Y                                         0  \n",
       "539              M         N                                         2  \n",
       "540              M         N                                         0  \n",
       "541              S         N                                         0  \n",
       "542              M         Y                                         1  \n",
       "543              M         Y                                         0  \n",
       "544              M         Y                                         0  \n",
       "545              M         Y                                         0  \n",
       "546              M         Y                                         1  \n",
       "547              S         N                                         0  \n",
       "548              S         Y                                         0  \n",
       "549              S         N                                         0  \n",
       "550              M         N                                         0  \n",
       "551              S         N                                         0  \n",
       "552              M         N                                         0  \n",
       "553              M         Y                                         0  \n",
       "554              S         Y                                         0  \n",
       "555              M         Y                                         4  \n",
       "556              S         N                                         0  \n",
       "557              S         Y                                         0  \n",
       "558              M         Y                                         0  \n",
       "559              M         Y                                         3  \n",
       "560              S         Y                                         0  \n",
       "561              M         Y                                         0  \n",
       "562              S         Y                                         0  \n",
       "563              M         Y                                         1  \n",
       "564              M         Y                                         1  \n",
       "565              M         Y                                         0  \n",
       "566              M         Y                                         0  \n",
       "\n",
       "[567 rows x 7 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "demographics= pd.read_excel(File, 'Demographics')\n",
    "demographics.drop(['Unnamed: 0'], axis=1, inplace=True)\n",
    "demographics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Store_Name</th>\n",
       "      <th>Floor_name</th>\n",
       "      <th>Floor_Index</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jamba Juice</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784091</td>\n",
       "      <td>-122.406813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Coriander Gourmet Thai</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784596</td>\n",
       "      <td>-122.406210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NYS Collection</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784396</td>\n",
       "      <td>-122.406587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hallmark</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783771</td>\n",
       "      <td>-122.407377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sorabol Korean BBQ &amp; Asian Noodles</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784601</td>\n",
       "      <td>-122.406328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Pasta Moto</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784534</td>\n",
       "      <td>-122.406025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Abercrombie &amp; Fitch</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783944</td>\n",
       "      <td>-122.407537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Fire of Brazil</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784447</td>\n",
       "      <td>-122.406224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784161</td>\n",
       "      <td>-122.406900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Corner W</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784808</td>\n",
       "      <td>-122.406501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Buckhorn Grill</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784569</td>\n",
       "      <td>-122.406141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Cako Bakery</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784670</td>\n",
       "      <td>-122.406679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Claire's Boutique</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784126</td>\n",
       "      <td>-122.407061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784159</td>\n",
       "      <td>-122.406350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>PacSun</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783959</td>\n",
       "      <td>-122.406910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784411</td>\n",
       "      <td>-122.406709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Andale Mexican Restaurant</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784511</td>\n",
       "      <td>-122.405956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Sunglass Hut</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784071</td>\n",
       "      <td>-122.406885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Peet's Coffee &amp; Tea</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784591</td>\n",
       "      <td>-122.406782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Panda Express</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783778</td>\n",
       "      <td>-122.407161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>GNC</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784053</td>\n",
       "      <td>-122.407307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>New Era</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783893</td>\n",
       "      <td>-122.407389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>LEGO</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784222</td>\n",
       "      <td>-122.406978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Mrs. Fields</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783953</td>\n",
       "      <td>-122.407318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Beard Papa's Cream Puffs</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784505</td>\n",
       "      <td>-122.406555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Ajisen Ramen</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783767</td>\n",
       "      <td>-122.407070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shoe Palace</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784106</td>\n",
       "      <td>-122.407189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Loving Hut Vegan Cuisine</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784292</td>\n",
       "      <td>-122.406010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Ghirardelli Ice Cream and Chocolate Shop</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784449</td>\n",
       "      <td>-122.406665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Marbles: The Brain Store</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784353</td>\n",
       "      <td>-122.406773</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>136</th>\n",
       "      <td>Lids</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784101</td>\n",
       "      <td>-122.406854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>iPlay n Talk</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783871</td>\n",
       "      <td>-122.407073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>Go! Toys and Games</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784153</td>\n",
       "      <td>-122.405871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783745</td>\n",
       "      <td>-122.405601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>Fossil</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784191</td>\n",
       "      <td>-122.407111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Vans</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784267</td>\n",
       "      <td>-122.405933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>Eyebrow Plus</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784386</td>\n",
       "      <td>-122.406589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>True Religion Jeans</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784540</td>\n",
       "      <td>-122.406132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>Finish Line</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783912</td>\n",
       "      <td>-122.407474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>Lucky Brand Jeans</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784663</td>\n",
       "      <td>-122.406313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Bath &amp; Body Works</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784135</td>\n",
       "      <td>-122.406406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>H&amp;M</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783957</td>\n",
       "      <td>-122.406249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>Teavana</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783814</td>\n",
       "      <td>-122.407399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784197</td>\n",
       "      <td>-122.406980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>Forever Flawless</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784701</td>\n",
       "      <td>-122.406758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>Solstice</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784360</td>\n",
       "      <td>-122.406786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>TAP 415</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784420</td>\n",
       "      <td>-122.406832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>Optica</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784702</td>\n",
       "      <td>-122.406248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784206</td>\n",
       "      <td>-122.406528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>Bespoke Coworking</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784178</td>\n",
       "      <td>-122.405776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.783859</td>\n",
       "      <td>-122.406350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>Bose</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784539</td>\n",
       "      <td>-122.406081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>Nordstrom</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.783820</td>\n",
       "      <td>-122.407311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.783802</td>\n",
       "      <td>-122.405736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>Nordstrom</td>\n",
       "      <td>Level 5/N2</td>\n",
       "      <td>5</td>\n",
       "      <td>37.784076</td>\n",
       "      <td>-122.407307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>Century San Francisco Centre 9</td>\n",
       "      <td>Level 5/N2</td>\n",
       "      <td>5</td>\n",
       "      <td>37.783890</td>\n",
       "      <td>-122.405736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>Burke Williams Day Spa</td>\n",
       "      <td>Level 5/N2</td>\n",
       "      <td>5</td>\n",
       "      <td>37.784204</td>\n",
       "      <td>-122.406574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>Nordstrom</td>\n",
       "      <td>N3</td>\n",
       "      <td>6</td>\n",
       "      <td>37.784090</td>\n",
       "      <td>-122.407309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>Nordstrom</td>\n",
       "      <td>N4</td>\n",
       "      <td>7</td>\n",
       "      <td>37.784073</td>\n",
       "      <td>-122.407289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>Nordstrom</td>\n",
       "      <td>N5</td>\n",
       "      <td>8</td>\n",
       "      <td>37.784087</td>\n",
       "      <td>-122.407307</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>166 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    Store_Name       Floor_name  Floor_Index  \\\n",
       "0                                  Jamba Juice  Concourse Level            0   \n",
       "1                       Coriander Gourmet Thai  Concourse Level            0   \n",
       "2                               NYS Collection  Concourse Level            0   \n",
       "3                                     Hallmark  Concourse Level            0   \n",
       "4           Sorabol Korean BBQ & Asian Noodles  Concourse Level            0   \n",
       "5                                   Pasta Moto  Concourse Level            0   \n",
       "6                          Abercrombie & Fitch  Concourse Level            0   \n",
       "7                               Fire of Brazil  Concourse Level            0   \n",
       "8                          ProActiv Solutions   Concourse Level            0   \n",
       "9                                     Corner W  Concourse Level            0   \n",
       "10                              Buckhorn Grill  Concourse Level            0   \n",
       "11                                 Cako Bakery  Concourse Level            0   \n",
       "12                           Claire's Boutique  Concourse Level            0   \n",
       "13                               Bristol Farms  Concourse Level            0   \n",
       "14                                      PacSun  Concourse Level            0   \n",
       "15                                   DAVIDsTEA  Concourse Level            0   \n",
       "16                   Andale Mexican Restaurant  Concourse Level            0   \n",
       "17                               Sunglass Hut   Concourse Level            0   \n",
       "18                         Peet's Coffee & Tea  Concourse Level            0   \n",
       "19                               Panda Express  Concourse Level            0   \n",
       "20                                         GNC  Concourse Level            0   \n",
       "21                                     New Era  Concourse Level            0   \n",
       "22                                        LEGO  Concourse Level            0   \n",
       "23                                 Mrs. Fields  Concourse Level            0   \n",
       "24                    Beard Papa's Cream Puffs  Concourse Level            0   \n",
       "25                                Ajisen Ramen  Concourse Level            0   \n",
       "26                                Shoe Palace   Concourse Level            0   \n",
       "27                   Loving Hut Vegan Cuisine   Concourse Level            0   \n",
       "28   Ghirardelli Ice Cream and Chocolate Shop   Concourse Level            0   \n",
       "29                    Marbles: The Brain Store  Concourse Level            0   \n",
       "..                                         ...              ...          ...   \n",
       "136                                       Lids          Level 3            3   \n",
       "137                               iPlay n Talk          Level 3            3   \n",
       "138                         Go! Toys and Games          Level 3            3   \n",
       "139                             Bloomingdale's          Level 3            3   \n",
       "140                                     Fossil          Level 3            3   \n",
       "141                                       Vans          Level 3            3   \n",
       "142                               Eyebrow Plus          Level 3            3   \n",
       "143                        True Religion Jeans          Level 3            3   \n",
       "144                                Finish Line          Level 3            3   \n",
       "145                          Lucky Brand Jeans          Level 3            3   \n",
       "146                          Bath & Body Works          Level 3            3   \n",
       "147                                        H&M          Level 3            3   \n",
       "148                                    Teavana          Level 3            3   \n",
       "149                               Steve Madden          Level 3            3   \n",
       "150                           Forever Flawless          Level 3            3   \n",
       "151                                   Solstice          Level 3            3   \n",
       "152                                    TAP 415       Level 4/N1            4   \n",
       "153                                     Optica       Level 4/N1            4   \n",
       "154                                 M.Y. China       Level 4/N1            4   \n",
       "155                          Bespoke Coworking       Level 4/N1            4   \n",
       "156                             Bespoke Events       Level 4/N1            4   \n",
       "157                                       Bose       Level 4/N1            4   \n",
       "158                                  Nordstrom       Level 4/N1            4   \n",
       "159                             Bloomingdale's       Level 4/N1            4   \n",
       "160                                  Nordstrom       Level 5/N2            5   \n",
       "161             Century San Francisco Centre 9       Level 5/N2            5   \n",
       "162                     Burke Williams Day Spa       Level 5/N2            5   \n",
       "163                                  Nordstrom               N3            6   \n",
       "164                                  Nordstrom               N4            7   \n",
       "165                                  Nordstrom               N5            8   \n",
       "\n",
       "      latitude   longitude  \n",
       "0    37.784091 -122.406813  \n",
       "1    37.784596 -122.406210  \n",
       "2    37.784396 -122.406587  \n",
       "3    37.783771 -122.407377  \n",
       "4    37.784601 -122.406328  \n",
       "5    37.784534 -122.406025  \n",
       "6    37.783944 -122.407537  \n",
       "7    37.784447 -122.406224  \n",
       "8    37.784161 -122.406900  \n",
       "9    37.784808 -122.406501  \n",
       "10   37.784569 -122.406141  \n",
       "11   37.784670 -122.406679  \n",
       "12   37.784126 -122.407061  \n",
       "13   37.784159 -122.406350  \n",
       "14   37.783959 -122.406910  \n",
       "15   37.784411 -122.406709  \n",
       "16   37.784511 -122.405956  \n",
       "17   37.784071 -122.406885  \n",
       "18   37.784591 -122.406782  \n",
       "19   37.783778 -122.407161  \n",
       "20   37.784053 -122.407307  \n",
       "21   37.783893 -122.407389  \n",
       "22   37.784222 -122.406978  \n",
       "23   37.783953 -122.407318  \n",
       "24   37.784505 -122.406555  \n",
       "25   37.783767 -122.407070  \n",
       "26   37.784106 -122.407189  \n",
       "27   37.784292 -122.406010  \n",
       "28   37.784449 -122.406665  \n",
       "29   37.784353 -122.406773  \n",
       "..         ...         ...  \n",
       "136  37.784101 -122.406854  \n",
       "137  37.783871 -122.407073  \n",
       "138  37.784153 -122.405871  \n",
       "139  37.783745 -122.405601  \n",
       "140  37.784191 -122.407111  \n",
       "141  37.784267 -122.405933  \n",
       "142  37.784386 -122.406589  \n",
       "143  37.784540 -122.406132  \n",
       "144  37.783912 -122.407474  \n",
       "145  37.784663 -122.406313  \n",
       "146  37.784135 -122.406406  \n",
       "147  37.783957 -122.406249  \n",
       "148  37.783814 -122.407399  \n",
       "149  37.784197 -122.406980  \n",
       "150  37.784701 -122.406758  \n",
       "151  37.784360 -122.406786  \n",
       "152  37.784420 -122.406832  \n",
       "153  37.784702 -122.406248  \n",
       "154  37.784206 -122.406528  \n",
       "155  37.784178 -122.405776  \n",
       "156  37.783859 -122.406350  \n",
       "157  37.784539 -122.406081  \n",
       "158  37.783820 -122.407311  \n",
       "159  37.783802 -122.405736  \n",
       "160  37.784076 -122.407307  \n",
       "161  37.783890 -122.405736  \n",
       "162  37.784204 -122.406574  \n",
       "163  37.784090 -122.407309  \n",
       "164  37.784073 -122.407289  \n",
       "165  37.784087 -122.407307  \n",
       "\n",
       "[166 rows x 5 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "storemap = pd.read_excel(File, 'Store Mapping')\n",
    "storemap.drop(['Unnamed: 0'], axis=1, inplace=True)\n",
    "storemap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "categorymap = pd.read_excel(File, 'Category Mapping')\n",
    "pinginfo = pd.read_excel(File, 'Ping_Information')\n",
    "categorymap.drop(['Unnamed: 0'],axis=1, inplace= True)\n",
    "pinginfo.drop(['Unnamed: 0'],axis=1, inplace= True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "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>Store_Name</th>\n",
       "      <th>Broad_Category</th>\n",
       "      <th>Fine_Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Amazon Pop-Up</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bespoke Coworking</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Specialty Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Dyson</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Penhaligonï¿½Ûªs</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SF Sports</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Claire's Boutique</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Go! Toys and Games</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Toy Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Nordstrom</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Department Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Department Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Victoria's Secret</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Adidas</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Finish Line</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Zara</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>H&amp;M</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>Dining</td>\n",
       "      <td>Casual Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Superdry</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Sunglass Hut</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Express</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Solstice</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Abercrombie &amp; Fitch</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Karen Millen</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>RED Valentino</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Brighton Collectibles</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Club Monaco Men</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>J.Crew</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Max &amp; Co.</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Timberland</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>Ghirardelli Ice Cream and Chocolate Shop</td>\n",
       "      <td>Dining</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>Pasta Moto</td>\n",
       "      <td>Dining</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>Kichi Grill</td>\n",
       "      <td>Dining</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>Dining</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>Chipotle</td>\n",
       "      <td>Dining</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>Fire of Brazil</td>\n",
       "      <td>Dining</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>Teavana</td>\n",
       "      <td>Dining</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>Cako Bakery</td>\n",
       "      <td>Dining</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>Andale Mexican Restaurant</td>\n",
       "      <td>Dining</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>The Body Shop</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>Amiri Salon</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>L'Occitane en Provence</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>Origins</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>Bath &amp; Body Works</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>bareMinerals</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>Aveda</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>Optica</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Eyebrow Plus</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>Sur La Table</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>Forever Flawless</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>The Art of Shaving</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>GNC</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Kiehl's</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>Perfumania</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>Onassis</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>Forever Flawless</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>Shoe Wiz</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>Currency Exchange International</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>Century San Francisco Centre 9</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>Burke Williams Day Spa</td>\n",
       "      <td>Retail</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>154 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    Store_Name Broad_Category  \\\n",
       "0                                Amazon Pop-Up         Retail   \n",
       "1                               Bespoke Events         Retail   \n",
       "2                            Bespoke Coworking         Retail   \n",
       "3                                        Dyson         Retail   \n",
       "4                             Penhaligonï¿½Ûªs         Retail   \n",
       "5                                    SF Sports         Retail   \n",
       "6                            Claire's Boutique         Retail   \n",
       "7                           Go! Toys and Games         Retail   \n",
       "8                                    Nordstrom         Retail   \n",
       "9                               Bloomingdale's         Retail   \n",
       "10                           Victoria's Secret         Retail   \n",
       "11                                      Adidas         Retail   \n",
       "12                                 Finish Line         Retail   \n",
       "13                                        Zara         Retail   \n",
       "14                                         H&M         Retail   \n",
       "15                                     H&M Man         Retail   \n",
       "16                               Bristol Farms         Dining   \n",
       "17                                   Superdry          Retail   \n",
       "18                               Sunglass Hut          Retail   \n",
       "19                                     Express         Retail   \n",
       "20                            Michael Kors Men         Retail   \n",
       "21                                    Solstice         Retail   \n",
       "22                         Abercrombie & Fitch         Retail   \n",
       "23                                Karen Millen         Retail   \n",
       "24                               RED Valentino         Retail   \n",
       "25                       Brighton Collectibles         Retail   \n",
       "26                             Club Monaco Men         Retail   \n",
       "27                                      J.Crew         Retail   \n",
       "28                                   Max & Co.         Retail   \n",
       "29                                  Timberland         Retail   \n",
       "..                                         ...            ...   \n",
       "124  Ghirardelli Ice Cream and Chocolate Shop          Dining   \n",
       "125                                 Pasta Moto         Dining   \n",
       "126                                Kichi Grill         Dining   \n",
       "127                                 M.Y. China         Dining   \n",
       "128                                   Chipotle         Dining   \n",
       "129                             Fire of Brazil         Dining   \n",
       "130                                    Teavana         Dining   \n",
       "131                                Cako Bakery         Dining   \n",
       "132                  Andale Mexican Restaurant         Dining   \n",
       "133                              The Body Shop         Retail   \n",
       "134                                Amiri Salon         Retail   \n",
       "135                     L'Occitane en Provence         Retail   \n",
       "136                                    Origins         Retail   \n",
       "137                          Bath & Body Works         Retail   \n",
       "138                               bareMinerals         Retail   \n",
       "139                                      Aveda         Retail   \n",
       "140                                     Optica         Retail   \n",
       "141                               Eyebrow Plus         Retail   \n",
       "142                               Sur La Table         Retail   \n",
       "143                          Forever Flawless          Retail   \n",
       "144                         The Art of Shaving         Retail   \n",
       "145                                        GNC         Retail   \n",
       "146                                    Kiehl's         Retail   \n",
       "147                                 Perfumania         Retail   \n",
       "148                                    Onassis         Retail   \n",
       "149                           Forever Flawless         Retail   \n",
       "150                                   Shoe Wiz         Retail   \n",
       "151           Currency Exchange International          Retail   \n",
       "152             Century San Francisco Centre 9         Retail   \n",
       "153                     Burke Williams Day Spa         Retail   \n",
       "\n",
       "               Fine_Category  \n",
       "0                      Misc.  \n",
       "1                      Misc.  \n",
       "2            Specialty Store  \n",
       "3                      Misc.  \n",
       "4                      Misc.  \n",
       "5    Apparel And Accessories  \n",
       "6    Apparel And Accessories  \n",
       "7                 Toy Stores  \n",
       "8          Department Stores  \n",
       "9          Department Stores  \n",
       "10   Apparel And Accessories  \n",
       "11   Apparel And Accessories  \n",
       "12   Apparel And Accessories  \n",
       "13   Apparel And Accessories  \n",
       "14   Apparel And Accessories  \n",
       "15   Apparel And Accessories  \n",
       "16        Casual Restaurants  \n",
       "17   Apparel And Accessories  \n",
       "18   Apparel And Accessories  \n",
       "19   Apparel And Accessories  \n",
       "20   Apparel And Accessories  \n",
       "21   Apparel And Accessories  \n",
       "22   Apparel And Accessories  \n",
       "23   Apparel And Accessories  \n",
       "24   Apparel And Accessories  \n",
       "25   Apparel And Accessories  \n",
       "26   Apparel And Accessories  \n",
       "27   Apparel And Accessories  \n",
       "28   Apparel And Accessories  \n",
       "29   Apparel And Accessories  \n",
       "..                       ...  \n",
       "124          Qsr Restaurants  \n",
       "125          Qsr Restaurants  \n",
       "126          Qsr Restaurants  \n",
       "127          Qsr Restaurants  \n",
       "128          Qsr Restaurants  \n",
       "129          Qsr Restaurants  \n",
       "130          Qsr Restaurants  \n",
       "131          Qsr Restaurants  \n",
       "132          Qsr Restaurants  \n",
       "133      Furniture And Decor  \n",
       "134      Furniture And Decor  \n",
       "135      Furniture And Decor  \n",
       "136      Furniture And Decor  \n",
       "137      Furniture And Decor  \n",
       "138      Furniture And Decor  \n",
       "139      Furniture And Decor  \n",
       "140      Furniture And Decor  \n",
       "141      Furniture And Decor  \n",
       "142      Furniture And Decor  \n",
       "143      Furniture And Decor  \n",
       "144      Furniture And Decor  \n",
       "145      Furniture And Decor  \n",
       "146      Furniture And Decor  \n",
       "147      Furniture And Decor  \n",
       "148      Furniture And Decor  \n",
       "149      Furniture And Decor  \n",
       "150                    Misc.  \n",
       "151                    Misc.  \n",
       "152                    Misc.  \n",
       "153                    Misc.  \n",
       "\n",
       "[154 rows x 3 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categorymap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Shopper_ID</th>\n",
       "      <th>floor</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
       "      <th>seenTimestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>Floor 4</td>\n",
       "      <td>37.661463</td>\n",
       "      <td>-122.298673</td>\n",
       "      <td>-2.934558e+03</td>\n",
       "      <td>-1.616972e+04</td>\n",
       "      <td>2016-11-22T02:16:06.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>Floor 1</td>\n",
       "      <td>37.784062</td>\n",
       "      <td>-122.406943</td>\n",
       "      <td>1.172625e+02</td>\n",
       "      <td>1.518238e+02</td>\n",
       "      <td>2016-12-23T22:01:25.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>Floor 4</td>\n",
       "      <td>37.784361</td>\n",
       "      <td>-122.406710</td>\n",
       "      <td>1.561251e+02</td>\n",
       "      <td>1.713572e+02</td>\n",
       "      <td>2016-11-22T01:42:28.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.784341</td>\n",
       "      <td>-122.406891</td>\n",
       "      <td>1.344997e+02</td>\n",
       "      <td>1.676744e+02</td>\n",
       "      <td>2016-10-13T18:27:38.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>37.784017</td>\n",
       "      <td>-122.407307</td>\n",
       "      <td>9.498169e+01</td>\n",
       "      <td>1.722692e+02</td>\n",
       "      <td>2016-10-12T21:36:18.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shopper_420</td>\n",
       "      <td>Floor 4</td>\n",
       "      <td>37.661624</td>\n",
       "      <td>-122.298459</td>\n",
       "      <td>-2.908687e+03</td>\n",
       "      <td>-1.617058e+04</td>\n",
       "      <td>2016-12-19T01:31:08.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Shopper_420</td>\n",
       "      <td>Floor 1</td>\n",
       "      <td>37.783856</td>\n",
       "      <td>-122.407092</td>\n",
       "      <td>9.186057e+01</td>\n",
       "      <td>1.446519e+02</td>\n",
       "      <td>2016-12-19T01:36:10.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Shopper_245</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>37.783970</td>\n",
       "      <td>-122.407194</td>\n",
       "      <td>9.838965e+01</td>\n",
       "      <td>1.615519e+02</td>\n",
       "      <td>2016-10-14T03:02:55.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shopper_334</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>37.783828</td>\n",
       "      <td>-122.406986</td>\n",
       "      <td>1.003072e+02</td>\n",
       "      <td>1.374774e+02</td>\n",
       "      <td>2017-03-18T03:25:59.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shopper_205</td>\n",
       "      <td>Floor 1</td>\n",
       "      <td>37.784219</td>\n",
       "      <td>-122.406896</td>\n",
       "      <td>1.324179e+02</td>\n",
       "      <td>1.613389e+02</td>\n",
       "      <td>2017-06-06T20:33:31.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Shopper_205</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.784638</td>\n",
       "      <td>-122.406411</td>\n",
       "      <td>1.876741e+02</td>\n",
       "      <td>1.616688e+02</td>\n",
       "      <td>2017-06-06T01:28:51.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Shopper_530</td>\n",
       "      <td>Floor 1</td>\n",
       "      <td>35.085149</td>\n",
       "      <td>-113.663734</td>\n",
       "      <td>3.376118e+05</td>\n",
       "      <td>-7.520261e+05</td>\n",
       "      <td>2017-03-08T23:50:12.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Shopper_530</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>36.541271</td>\n",
       "      <td>-118.435462</td>\n",
       "      <td>1.520991e+05</td>\n",
       "      <td>-3.428527e+05</td>\n",
       "      <td>2017-01-28T00:07:15.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shopper_359</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.783961</td>\n",
       "      <td>-122.407034</td>\n",
       "      <td>9.592117e+01</td>\n",
       "      <td>1.463724e+02</td>\n",
       "      <td>2017-05-20T18:34:46.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>35.239976</td>\n",
       "      <td>-114.220990</td>\n",
       "      <td>3.147539e+05</td>\n",
       "      <td>-7.054506e+05</td>\n",
       "      <td>2017-01-17T23:56:19.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.784049</td>\n",
       "      <td>-122.407055</td>\n",
       "      <td>1.014708e+02</td>\n",
       "      <td>1.545847e+02</td>\n",
       "      <td>2017-01-17T02:40:49.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.784084</td>\n",
       "      <td>-122.407044</td>\n",
       "      <td>1.048638e+02</td>\n",
       "      <td>1.567499e+02</td>\n",
       "      <td>2017-01-17T01:57:58.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shopper_481</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>35.265054</td>\n",
       "      <td>-114.246672</td>\n",
       "      <td>3.151111e+05</td>\n",
       "      <td>-7.018778e+05</td>\n",
       "      <td>2017-04-11T22:10:26.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>Floor 4</td>\n",
       "      <td>37.784287</td>\n",
       "      <td>-122.406954</td>\n",
       "      <td>1.352079e+02</td>\n",
       "      <td>1.808558e+02</td>\n",
       "      <td>2017-06-13T17:38:20.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>Floor 1</td>\n",
       "      <td>36.980523</td>\n",
       "      <td>-119.811229</td>\n",
       "      <td>1.001365e+05</td>\n",
       "      <td>-2.233378e+05</td>\n",
       "      <td>2017-06-13T18:21:23.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>Floor 4</td>\n",
       "      <td>37.759561</td>\n",
       "      <td>-122.385293</td>\n",
       "      <td>-4.912245e+02</td>\n",
       "      <td>-3.102102e+03</td>\n",
       "      <td>2017-06-13T18:42:51.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Shopper_287</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.656648</td>\n",
       "      <td>-122.006913</td>\n",
       "      <td>1.524481e+04</td>\n",
       "      <td>-3.457726e+04</td>\n",
       "      <td>2017-04-13T04:10:15.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Shopper_536</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>34.031987</td>\n",
       "      <td>-110.253652</td>\n",
       "      <td>4.692078e+05</td>\n",
       "      <td>-1.045435e+06</td>\n",
       "      <td>2017-06-12T18:34:39.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Shopper_344</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>37.784028</td>\n",
       "      <td>-122.407106</td>\n",
       "      <td>1.083780e+02</td>\n",
       "      <td>1.607393e+02</td>\n",
       "      <td>2017-01-24T21:49:27.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shopper_41</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>33.504061</td>\n",
       "      <td>-108.734063</td>\n",
       "      <td>5.232811e+05</td>\n",
       "      <td>-1.180830e+06</td>\n",
       "      <td>2017-01-14T00:43:34.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Shopper_41</td>\n",
       "      <td>Floor 3</td>\n",
       "      <td>37.783814</td>\n",
       "      <td>-122.407127</td>\n",
       "      <td>9.255912e+01</td>\n",
       "      <td>1.435501e+02</td>\n",
       "      <td>2017-01-14T01:09:42.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shopper_122</td>\n",
       "      <td>Floor 4</td>\n",
       "      <td>36.066776</td>\n",
       "      <td>-116.842850</td>\n",
       "      <td>2.065314e+05</td>\n",
       "      <td>-4.821700e+05</td>\n",
       "      <td>2017-01-07T02:32:22.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shopper_51</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.720868</td>\n",
       "      <td>-122.343518</td>\n",
       "      <td>-8.396494e+02</td>\n",
       "      <td>-8.764928e+03</td>\n",
       "      <td>2017-05-14T01:33:11.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shopper_51</td>\n",
       "      <td>Floor 1</td>\n",
       "      <td>35.265134</td>\n",
       "      <td>-114.246611</td>\n",
       "      <td>3.151168e+05</td>\n",
       "      <td>-7.018766e+05</td>\n",
       "      <td>2016-10-13T19:57:16.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Shopper_68</td>\n",
       "      <td>Floor 1</td>\n",
       "      <td>37.783840</td>\n",
       "      <td>-122.407236</td>\n",
       "      <td>8.162835e+01</td>\n",
       "      <td>1.523024e+02</td>\n",
       "      <td>2017-02-03T17:50:55.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107605</th>\n",
       "      <td>Shopper_454</td>\n",
       "      <td>Floor 1</td>\n",
       "      <td>37.783982</td>\n",
       "      <td>-122.406909</td>\n",
       "      <td>1.131167e+02</td>\n",
       "      <td>1.433857e+02</td>\n",
       "      <td>2017-04-26T21:34:04.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107606</th>\n",
       "      <td>Shopper_278</td>\n",
       "      <td>Floor 3</td>\n",
       "      <td>30.227258</td>\n",
       "      <td>-97.925617</td>\n",
       "      <td>9.267271e+05</td>\n",
       "      <td>-2.114123e+06</td>\n",
       "      <td>2017-04-03T21:53:57.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107607</th>\n",
       "      <td>Shopper_318</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>37.784039</td>\n",
       "      <td>-122.406977</td>\n",
       "      <td>1.173447e+02</td>\n",
       "      <td>1.536310e+02</td>\n",
       "      <td>2017-01-26T18:41:36.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107608</th>\n",
       "      <td>Shopper_440</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.784117</td>\n",
       "      <td>-122.407263</td>\n",
       "      <td>9.371821e+01</td>\n",
       "      <td>1.728044e+02</td>\n",
       "      <td>2016-10-03T21:08:32.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107609</th>\n",
       "      <td>Shopper_363</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.784069</td>\n",
       "      <td>-122.407386</td>\n",
       "      <td>8.227485e+01</td>\n",
       "      <td>1.766371e+02</td>\n",
       "      <td>2017-03-13T00:18:59.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107610</th>\n",
       "      <td>Shopper_339</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.783989</td>\n",
       "      <td>-122.407159</td>\n",
       "      <td>9.023642e+01</td>\n",
       "      <td>1.562743e+02</td>\n",
       "      <td>2017-02-23T00:52:58.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107611</th>\n",
       "      <td>Shopper_47</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>31.487016</td>\n",
       "      <td>-102.005697</td>\n",
       "      <td>7.876545e+05</td>\n",
       "      <td>-1.754925e+06</td>\n",
       "      <td>2017-05-13T20:47:39.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107612</th>\n",
       "      <td>Shopper_320</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>37.781113</td>\n",
       "      <td>-122.404167</td>\n",
       "      <td>6.544468e+01</td>\n",
       "      <td>-2.512720e+02</td>\n",
       "      <td>2016-10-25T02:20:21.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107613</th>\n",
       "      <td>Shopper_4</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>37.784046</td>\n",
       "      <td>-122.407011</td>\n",
       "      <td>1.157298e+02</td>\n",
       "      <td>1.563164e+02</td>\n",
       "      <td>2017-04-28T01:21:44.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107614</th>\n",
       "      <td>Shopper_398</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>33.061211</td>\n",
       "      <td>-107.106029</td>\n",
       "      <td>5.907750e+05</td>\n",
       "      <td>-1.316157e+06</td>\n",
       "      <td>2016-11-06T02:22:35.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107615</th>\n",
       "      <td>Shopper_154</td>\n",
       "      <td>Floor 1</td>\n",
       "      <td>37.784085</td>\n",
       "      <td>-122.406878</td>\n",
       "      <td>1.231484e+02</td>\n",
       "      <td>1.496555e+02</td>\n",
       "      <td>2017-03-02T06:11:03.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107616</th>\n",
       "      <td>Shopper_459</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.784052</td>\n",
       "      <td>-122.407107</td>\n",
       "      <td>9.841838e+01</td>\n",
       "      <td>1.580752e+02</td>\n",
       "      <td>2016-12-17T23:29:02.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107617</th>\n",
       "      <td>Shopper_459</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.784471</td>\n",
       "      <td>-122.406800</td>\n",
       "      <td>1.502984e+02</td>\n",
       "      <td>1.724312e+02</td>\n",
       "      <td>2016-12-04T21:53:21.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107618</th>\n",
       "      <td>Shopper_419</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>37.743028</td>\n",
       "      <td>-122.371079</td>\n",
       "      <td>-8.283102e+02</td>\n",
       "      <td>-5.307096e+03</td>\n",
       "      <td>2017-01-05T20:23:02.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107619</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>Floor 3</td>\n",
       "      <td>34.320329</td>\n",
       "      <td>-111.206542</td>\n",
       "      <td>4.235463e+05</td>\n",
       "      <td>-9.676513e+05</td>\n",
       "      <td>2017-05-14T20:49:13.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107620</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.784294</td>\n",
       "      <td>-122.406786</td>\n",
       "      <td>1.373888e+02</td>\n",
       "      <td>1.575364e+02</td>\n",
       "      <td>2017-05-17T23:14:14.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107621</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>34.315878</td>\n",
       "      <td>-111.249350</td>\n",
       "      <td>4.289451e+05</td>\n",
       "      <td>-9.616352e+05</td>\n",
       "      <td>2017-05-16T21:17:22.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107622</th>\n",
       "      <td>Shopper_468</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>37.783898</td>\n",
       "      <td>-122.407144</td>\n",
       "      <td>9.590140e+01</td>\n",
       "      <td>1.528072e+02</td>\n",
       "      <td>2017-05-30T00:50:25.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107623</th>\n",
       "      <td>Shopper_244</td>\n",
       "      <td>Floor 3</td>\n",
       "      <td>37.781999</td>\n",
       "      <td>-122.405348</td>\n",
       "      <td>6.047835e+01</td>\n",
       "      <td>-1.095482e+02</td>\n",
       "      <td>2017-05-12T00:07:30.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107624</th>\n",
       "      <td>Shopper_373</td>\n",
       "      <td>Floor 3</td>\n",
       "      <td>37.783965</td>\n",
       "      <td>-122.407176</td>\n",
       "      <td>1.014475e+02</td>\n",
       "      <td>1.584967e+02</td>\n",
       "      <td>2017-01-08T23:41:15.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107625</th>\n",
       "      <td>Shopper_376</td>\n",
       "      <td>Floor 1</td>\n",
       "      <td>37.784045</td>\n",
       "      <td>-122.407060</td>\n",
       "      <td>1.086086e+02</td>\n",
       "      <td>1.576130e+02</td>\n",
       "      <td>2017-01-23T19:38:32.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107626</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>35.219027</td>\n",
       "      <td>-114.115492</td>\n",
       "      <td>3.197311e+05</td>\n",
       "      <td>-7.136057e+05</td>\n",
       "      <td>2016-12-23T00:14:42.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107627</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.784057</td>\n",
       "      <td>-122.407213</td>\n",
       "      <td>9.215282e+01</td>\n",
       "      <td>1.650269e+02</td>\n",
       "      <td>2016-12-23T01:56:47.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107628</th>\n",
       "      <td>Shopper_28</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>37.783934</td>\n",
       "      <td>-122.407144</td>\n",
       "      <td>9.871819e+01</td>\n",
       "      <td>1.555511e+02</td>\n",
       "      <td>2017-01-02T23:47:20.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107629</th>\n",
       "      <td>Shopper_76</td>\n",
       "      <td>Floor 1</td>\n",
       "      <td>37.783984</td>\n",
       "      <td>-122.407237</td>\n",
       "      <td>9.273817e+01</td>\n",
       "      <td>1.637082e+02</td>\n",
       "      <td>2017-04-01T17:07:05.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107630</th>\n",
       "      <td>Shopper_317</td>\n",
       "      <td>Floor 4</td>\n",
       "      <td>28.338261</td>\n",
       "      <td>-91.805123</td>\n",
       "      <td>1.135291e+06</td>\n",
       "      <td>-2.652681e+06</td>\n",
       "      <td>2016-11-23T21:23:45.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107631</th>\n",
       "      <td>Shopper_295</td>\n",
       "      <td>Floor 4</td>\n",
       "      <td>37.784115</td>\n",
       "      <td>-122.406981</td>\n",
       "      <td>1.198997e+02</td>\n",
       "      <td>1.691729e+02</td>\n",
       "      <td>2016-11-10T19:49:25.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107632</th>\n",
       "      <td>Shopper_460</td>\n",
       "      <td>Floor 2</td>\n",
       "      <td>36.017950</td>\n",
       "      <td>-116.704627</td>\n",
       "      <td>2.197770e+05</td>\n",
       "      <td>-4.908830e+05</td>\n",
       "      <td>2017-03-06T20:54:24.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107633</th>\n",
       "      <td>Shopper_190</td>\n",
       "      <td>Floor 1</td>\n",
       "      <td>37.784047</td>\n",
       "      <td>-122.407000</td>\n",
       "      <td>1.125838e+02</td>\n",
       "      <td>1.541381e+02</td>\n",
       "      <td>2016-10-09T01:15:12.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107634</th>\n",
       "      <td>Shopper_53</td>\n",
       "      <td>Concourse</td>\n",
       "      <td>37.784078</td>\n",
       "      <td>-122.407087</td>\n",
       "      <td>1.017129e+02</td>\n",
       "      <td>1.588960e+02</td>\n",
       "      <td>2017-05-13T20:32:48.000Z</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>107635 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Shopper_ID      floor        lat         lng             x  \\\n",
       "0       Shopper_556    Floor 4  37.661463 -122.298673 -2.934558e+03   \n",
       "1       Shopper_556    Floor 1  37.784062 -122.406943  1.172625e+02   \n",
       "2       Shopper_556    Floor 4  37.784361 -122.406710  1.561251e+02   \n",
       "3       Shopper_360  Concourse  37.784341 -122.406891  1.344997e+02   \n",
       "4       Shopper_360    Floor 2  37.784017 -122.407307  9.498169e+01   \n",
       "5       Shopper_420    Floor 4  37.661624 -122.298459 -2.908687e+03   \n",
       "6       Shopper_420    Floor 1  37.783856 -122.407092  9.186057e+01   \n",
       "7       Shopper_245    Floor 2  37.783970 -122.407194  9.838965e+01   \n",
       "8       Shopper_334    Floor 2  37.783828 -122.406986  1.003072e+02   \n",
       "9       Shopper_205    Floor 1  37.784219 -122.406896  1.324179e+02   \n",
       "10      Shopper_205  Concourse  37.784638 -122.406411  1.876741e+02   \n",
       "11      Shopper_530    Floor 1  35.085149 -113.663734  3.376118e+05   \n",
       "12      Shopper_530  Concourse  36.541271 -118.435462  1.520991e+05   \n",
       "13      Shopper_359  Concourse  37.783961 -122.407034  9.592117e+01   \n",
       "14      Shopper_189  Concourse  35.239976 -114.220990  3.147539e+05   \n",
       "15      Shopper_189  Concourse  37.784049 -122.407055  1.014708e+02   \n",
       "16      Shopper_189  Concourse  37.784084 -122.407044  1.048638e+02   \n",
       "17      Shopper_481    Floor 2  35.265054 -114.246672  3.151111e+05   \n",
       "18      Shopper_155    Floor 4  37.784287 -122.406954  1.352079e+02   \n",
       "19      Shopper_155    Floor 1  36.980523 -119.811229  1.001365e+05   \n",
       "20      Shopper_155    Floor 4  37.759561 -122.385293 -4.912245e+02   \n",
       "21      Shopper_287  Concourse  37.656648 -122.006913  1.524481e+04   \n",
       "22      Shopper_536    Floor 2  34.031987 -110.253652  4.692078e+05   \n",
       "23      Shopper_344    Floor 2  37.784028 -122.407106  1.083780e+02   \n",
       "24       Shopper_41    Floor 2  33.504061 -108.734063  5.232811e+05   \n",
       "25       Shopper_41    Floor 3  37.783814 -122.407127  9.255912e+01   \n",
       "26      Shopper_122    Floor 4  36.066776 -116.842850  2.065314e+05   \n",
       "27       Shopper_51  Concourse  37.720868 -122.343518 -8.396494e+02   \n",
       "28       Shopper_51    Floor 1  35.265134 -114.246611  3.151168e+05   \n",
       "29       Shopper_68    Floor 1  37.783840 -122.407236  8.162835e+01   \n",
       "...             ...        ...        ...         ...           ...   \n",
       "107605  Shopper_454    Floor 1  37.783982 -122.406909  1.131167e+02   \n",
       "107606  Shopper_278    Floor 3  30.227258  -97.925617  9.267271e+05   \n",
       "107607  Shopper_318    Floor 2  37.784039 -122.406977  1.173447e+02   \n",
       "107608  Shopper_440  Concourse  37.784117 -122.407263  9.371821e+01   \n",
       "107609  Shopper_363  Concourse  37.784069 -122.407386  8.227485e+01   \n",
       "107610  Shopper_339  Concourse  37.783989 -122.407159  9.023642e+01   \n",
       "107611   Shopper_47  Concourse  31.487016 -102.005697  7.876545e+05   \n",
       "107612  Shopper_320    Floor 2  37.781113 -122.404167  6.544468e+01   \n",
       "107613    Shopper_4    Floor 2  37.784046 -122.407011  1.157298e+02   \n",
       "107614  Shopper_398    Floor 2  33.061211 -107.106029  5.907750e+05   \n",
       "107615  Shopper_154    Floor 1  37.784085 -122.406878  1.231484e+02   \n",
       "107616  Shopper_459  Concourse  37.784052 -122.407107  9.841838e+01   \n",
       "107617  Shopper_459  Concourse  37.784471 -122.406800  1.502984e+02   \n",
       "107618  Shopper_419    Floor 2  37.743028 -122.371079 -8.283102e+02   \n",
       "107619  Shopper_319    Floor 3  34.320329 -111.206542  4.235463e+05   \n",
       "107620  Shopper_319  Concourse  37.784294 -122.406786  1.373888e+02   \n",
       "107621  Shopper_319    Floor 2  34.315878 -111.249350  4.289451e+05   \n",
       "107622  Shopper_468    Floor 2  37.783898 -122.407144  9.590140e+01   \n",
       "107623  Shopper_244    Floor 3  37.781999 -122.405348  6.047835e+01   \n",
       "107624  Shopper_373    Floor 3  37.783965 -122.407176  1.014475e+02   \n",
       "107625  Shopper_376    Floor 1  37.784045 -122.407060  1.086086e+02   \n",
       "107626  Shopper_100  Concourse  35.219027 -114.115492  3.197311e+05   \n",
       "107627  Shopper_100  Concourse  37.784057 -122.407213  9.215282e+01   \n",
       "107628   Shopper_28    Floor 2  37.783934 -122.407144  9.871819e+01   \n",
       "107629   Shopper_76    Floor 1  37.783984 -122.407237  9.273817e+01   \n",
       "107630  Shopper_317    Floor 4  28.338261  -91.805123  1.135291e+06   \n",
       "107631  Shopper_295    Floor 4  37.784115 -122.406981  1.198997e+02   \n",
       "107632  Shopper_460    Floor 2  36.017950 -116.704627  2.197770e+05   \n",
       "107633  Shopper_190    Floor 1  37.784047 -122.407000  1.125838e+02   \n",
       "107634   Shopper_53  Concourse  37.784078 -122.407087  1.017129e+02   \n",
       "\n",
       "                   y             seenTimestamp  \n",
       "0      -1.616972e+04  2016-11-22T02:16:06.000Z  \n",
       "1       1.518238e+02  2016-12-23T22:01:25.000Z  \n",
       "2       1.713572e+02  2016-11-22T01:42:28.000Z  \n",
       "3       1.676744e+02  2016-10-13T18:27:38.000Z  \n",
       "4       1.722692e+02  2016-10-12T21:36:18.000Z  \n",
       "5      -1.617058e+04  2016-12-19T01:31:08.000Z  \n",
       "6       1.446519e+02  2016-12-19T01:36:10.000Z  \n",
       "7       1.615519e+02  2016-10-14T03:02:55.000Z  \n",
       "8       1.374774e+02  2017-03-18T03:25:59.000Z  \n",
       "9       1.613389e+02  2017-06-06T20:33:31.000Z  \n",
       "10      1.616688e+02  2017-06-06T01:28:51.000Z  \n",
       "11     -7.520261e+05  2017-03-08T23:50:12.000Z  \n",
       "12     -3.428527e+05  2017-01-28T00:07:15.000Z  \n",
       "13      1.463724e+02  2017-05-20T18:34:46.000Z  \n",
       "14     -7.054506e+05  2017-01-17T23:56:19.000Z  \n",
       "15      1.545847e+02  2017-01-17T02:40:49.000Z  \n",
       "16      1.567499e+02  2017-01-17T01:57:58.000Z  \n",
       "17     -7.018778e+05  2017-04-11T22:10:26.000Z  \n",
       "18      1.808558e+02  2017-06-13T17:38:20.000Z  \n",
       "19     -2.233378e+05  2017-06-13T18:21:23.000Z  \n",
       "20     -3.102102e+03  2017-06-13T18:42:51.000Z  \n",
       "21     -3.457726e+04  2017-04-13T04:10:15.000Z  \n",
       "22     -1.045435e+06  2017-06-12T18:34:39.000Z  \n",
       "23      1.607393e+02  2017-01-24T21:49:27.000Z  \n",
       "24     -1.180830e+06  2017-01-14T00:43:34.000Z  \n",
       "25      1.435501e+02  2017-01-14T01:09:42.000Z  \n",
       "26     -4.821700e+05  2017-01-07T02:32:22.000Z  \n",
       "27     -8.764928e+03  2017-05-14T01:33:11.000Z  \n",
       "28     -7.018766e+05  2016-10-13T19:57:16.000Z  \n",
       "29      1.523024e+02  2017-02-03T17:50:55.000Z  \n",
       "...              ...                       ...  \n",
       "107605  1.433857e+02  2017-04-26T21:34:04.000Z  \n",
       "107606 -2.114123e+06  2017-04-03T21:53:57.000Z  \n",
       "107607  1.536310e+02  2017-01-26T18:41:36.000Z  \n",
       "107608  1.728044e+02  2016-10-03T21:08:32.000Z  \n",
       "107609  1.766371e+02  2017-03-13T00:18:59.000Z  \n",
       "107610  1.562743e+02  2017-02-23T00:52:58.000Z  \n",
       "107611 -1.754925e+06  2017-05-13T20:47:39.000Z  \n",
       "107612 -2.512720e+02  2016-10-25T02:20:21.000Z  \n",
       "107613  1.563164e+02  2017-04-28T01:21:44.000Z  \n",
       "107614 -1.316157e+06  2016-11-06T02:22:35.000Z  \n",
       "107615  1.496555e+02  2017-03-02T06:11:03.000Z  \n",
       "107616  1.580752e+02  2016-12-17T23:29:02.000Z  \n",
       "107617  1.724312e+02  2016-12-04T21:53:21.000Z  \n",
       "107618 -5.307096e+03  2017-01-05T20:23:02.000Z  \n",
       "107619 -9.676513e+05  2017-05-14T20:49:13.000Z  \n",
       "107620  1.575364e+02  2017-05-17T23:14:14.000Z  \n",
       "107621 -9.616352e+05  2017-05-16T21:17:22.000Z  \n",
       "107622  1.528072e+02  2017-05-30T00:50:25.000Z  \n",
       "107623 -1.095482e+02  2017-05-12T00:07:30.000Z  \n",
       "107624  1.584967e+02  2017-01-08T23:41:15.000Z  \n",
       "107625  1.576130e+02  2017-01-23T19:38:32.000Z  \n",
       "107626 -7.136057e+05  2016-12-23T00:14:42.000Z  \n",
       "107627  1.650269e+02  2016-12-23T01:56:47.000Z  \n",
       "107628  1.555511e+02  2017-01-02T23:47:20.000Z  \n",
       "107629  1.637082e+02  2017-04-01T17:07:05.000Z  \n",
       "107630 -2.652681e+06  2016-11-23T21:23:45.000Z  \n",
       "107631  1.691729e+02  2016-11-10T19:49:25.000Z  \n",
       "107632 -4.908830e+05  2017-03-06T20:54:24.000Z  \n",
       "107633  1.541381e+02  2016-10-09T01:15:12.000Z  \n",
       "107634  1.588960e+02  2017-05-13T20:32:48.000Z  \n",
       "\n",
       "[107635 rows x 7 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pinginfo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "store_count = pd.read_csv(r\"C:\\Users\\welcome\\Desktop\\EXL OUTPUTS\\visiting_info_final - Copy.csv\")\n",
    "category_count = pd.read_csv(r\"C:\\Users\\welcome\\Desktop\\EXL OUTPUTS\\visiting_info2_final - Copy.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"for i in columns:\\n       mapping = dict(hero[['hero_id', i]].values)\\n       train[i] = train.hero_id.map(mapping)\""
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''for i in columns:\n",
    "       mapping = dict(hero[['hero_id', i]].values)\n",
    "       train[i] = train.hero_id.map(mapping)'''   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Shopper_ID</th>\n",
       "      <th>Store_Category_visited</th>\n",
       "      <th>count</th>\n",
       "      <th>Unnamed: 3</th>\n",
       "      <th>Unnamed: 4</th>\n",
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       "      <th>Unnamed: 19</th>\n",
       "      <th>Unnamed: 20</th>\n",
       "      <th>Unnamed: 21</th>\n",
       "      <th>Unnamed: 22</th>\n",
       "      <th>Unnamed: 23</th>\n",
       "      <th>Unnamed: 24</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>77</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>45</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>46</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>102</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Sports Stores</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>62</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>60</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Sports Stores</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Shopper_101</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>94</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Shopper_101</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Shopper_101</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Shopper_101</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>43</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shopper_102</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Shopper_102</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shopper_102</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>142</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shopper_102</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shopper_103</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>75</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Shopper_103</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2893</th>\n",
       "      <td>Shopper_94</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>64</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2894</th>\n",
       "      <td>Shopper_95</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>116</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2895</th>\n",
       "      <td>Shopper_95</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2896</th>\n",
       "      <td>Shopper_95</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>23</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2897</th>\n",
       "      <td>Shopper_95</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>42</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2898</th>\n",
       "      <td>Shopper_95</td>\n",
       "      <td>Sports Stores</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2899</th>\n",
       "      <td>Shopper_96</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>86</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2900</th>\n",
       "      <td>Shopper_96</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2901</th>\n",
       "      <td>Shopper_96</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>35</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2902</th>\n",
       "      <td>Shopper_96</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2903</th>\n",
       "      <td>Shopper_96</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>63</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2904</th>\n",
       "      <td>Shopper_96</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2905</th>\n",
       "      <td>Shopper_97</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>65</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2906</th>\n",
       "      <td>Shopper_97</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2907</th>\n",
       "      <td>Shopper_97</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>24</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2908</th>\n",
       "      <td>Shopper_97</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2909</th>\n",
       "      <td>Shopper_97</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>64</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2910</th>\n",
       "      <td>Shopper_97</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2911</th>\n",
       "      <td>Shopper_97</td>\n",
       "      <td>Sports Stores</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2912</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>73</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2913</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2914</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>66</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2915</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>49</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2916</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>70</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2917</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2918</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>52</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2919</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2920</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>52</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2921</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2922</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Sports Stores</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2923 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Shopper_ID   Store_Category_visited  count  Unnamed: 3  Unnamed: 4  \\\n",
       "0       Shopper_1  Apparel And Accessories     77         NaN         NaN   \n",
       "1       Shopper_1        Department Stores     45         NaN         NaN   \n",
       "2       Shopper_1      Furniture And Decor     30         NaN         NaN   \n",
       "3       Shopper_1                    Misc.      2         NaN         NaN   \n",
       "4       Shopper_1          Qsr Restaurants     35         NaN         NaN   \n",
       "5      Shopper_10  Apparel And Accessories     46         NaN         NaN   \n",
       "6      Shopper_10        Department Stores      1         NaN         NaN   \n",
       "7      Shopper_10      Furniture And Decor     30         NaN         NaN   \n",
       "8      Shopper_10                    Misc.      4         NaN         NaN   \n",
       "9      Shopper_10          Qsr Restaurants    102         NaN         NaN   \n",
       "10     Shopper_10              Shoe Stores      1         NaN         NaN   \n",
       "11     Shopper_10            Sports Stores      2         NaN         NaN   \n",
       "12     Shopper_10               Toy Stores      1         NaN         NaN   \n",
       "13    Shopper_100  Apparel And Accessories     62         NaN         NaN   \n",
       "14    Shopper_100        Department Stores     24         NaN         NaN   \n",
       "15    Shopper_100      Furniture And Decor     60         NaN         NaN   \n",
       "16    Shopper_100                    Misc.      5         NaN         NaN   \n",
       "17    Shopper_100          Qsr Restaurants     31         NaN         NaN   \n",
       "18    Shopper_100              Shoe Stores      4         NaN         NaN   \n",
       "19    Shopper_100            Sports Stores      1         NaN         NaN   \n",
       "20    Shopper_101  Apparel And Accessories     94         NaN         NaN   \n",
       "21    Shopper_101        Department Stores      6         NaN         NaN   \n",
       "22    Shopper_101      Furniture And Decor     40         NaN         NaN   \n",
       "23    Shopper_101          Qsr Restaurants     43         NaN         NaN   \n",
       "24    Shopper_102  Apparel And Accessories     28         NaN         NaN   \n",
       "25    Shopper_102      Furniture And Decor      9         NaN         NaN   \n",
       "26    Shopper_102          Qsr Restaurants    142         NaN         NaN   \n",
       "27    Shopper_102              Shoe Stores      2         NaN         NaN   \n",
       "28    Shopper_103  Apparel And Accessories     75         NaN         NaN   \n",
       "29    Shopper_103      Furniture And Decor     17         NaN         NaN   \n",
       "...           ...                      ...    ...         ...         ...   \n",
       "2893   Shopper_94          Qsr Restaurants     64         NaN         NaN   \n",
       "2894   Shopper_95  Apparel And Accessories    116         NaN         NaN   \n",
       "2895   Shopper_95        Department Stores      3         NaN         NaN   \n",
       "2896   Shopper_95      Furniture And Decor     23         NaN         NaN   \n",
       "2897   Shopper_95          Qsr Restaurants     42         NaN         NaN   \n",
       "2898   Shopper_95            Sports Stores      1         NaN         NaN   \n",
       "2899   Shopper_96  Apparel And Accessories     86         NaN         NaN   \n",
       "2900   Shopper_96        Department Stores      4         NaN         NaN   \n",
       "2901   Shopper_96      Furniture And Decor     35         NaN         NaN   \n",
       "2902   Shopper_96                    Misc.      2         NaN         NaN   \n",
       "2903   Shopper_96          Qsr Restaurants     63         NaN         NaN   \n",
       "2904   Shopper_96              Shoe Stores      2         NaN         NaN   \n",
       "2905   Shopper_97  Apparel And Accessories     65         NaN         NaN   \n",
       "2906   Shopper_97        Department Stores     29         NaN         NaN   \n",
       "2907   Shopper_97      Furniture And Decor     24         NaN         NaN   \n",
       "2908   Shopper_97                    Misc.      1         NaN         NaN   \n",
       "2909   Shopper_97          Qsr Restaurants     64         NaN         NaN   \n",
       "2910   Shopper_97              Shoe Stores      1         NaN         NaN   \n",
       "2911   Shopper_97            Sports Stores      4         NaN         NaN   \n",
       "2912   Shopper_98  Apparel And Accessories     73         NaN         NaN   \n",
       "2913   Shopper_98        Department Stores      2         NaN         NaN   \n",
       "2914   Shopper_98      Furniture And Decor     66         NaN         NaN   \n",
       "2915   Shopper_98          Qsr Restaurants     49         NaN         NaN   \n",
       "2916   Shopper_99  Apparel And Accessories     70         NaN         NaN   \n",
       "2917   Shopper_99        Department Stores      2         NaN         NaN   \n",
       "2918   Shopper_99      Furniture And Decor     52         NaN         NaN   \n",
       "2919   Shopper_99                    Misc.      8         NaN         NaN   \n",
       "2920   Shopper_99          Qsr Restaurants     52         NaN         NaN   \n",
       "2921   Shopper_99              Shoe Stores      5         NaN         NaN   \n",
       "2922   Shopper_99            Sports Stores      1         NaN         NaN   \n",
       "\n",
       "      Unnamed: 5  Unnamed: 6  Unnamed: 7  Unnamed: 8  Unnamed: 9     ...       \\\n",
       "0            NaN         NaN         NaN         NaN         NaN     ...        \n",
       "1            NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2            NaN         NaN         NaN         NaN         NaN     ...        \n",
       "3            NaN         NaN         NaN         NaN         NaN     ...        \n",
       "4            NaN         NaN         NaN         NaN         NaN     ...        \n",
       "5            NaN         NaN         NaN         NaN         NaN     ...        \n",
       "6            NaN         NaN         NaN         NaN         NaN     ...        \n",
       "7            NaN         NaN         NaN         NaN         NaN     ...        \n",
       "8            NaN         NaN         NaN         NaN         NaN     ...        \n",
       "9            NaN         NaN         NaN         NaN         NaN     ...        \n",
       "10           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "11           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "12           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "13           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "14           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "15           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "16           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "17           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "18           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "19           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "20           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "21           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "22           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "23           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "24           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "25           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "26           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "27           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "28           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "29           NaN         NaN         NaN         NaN         NaN     ...        \n",
       "...          ...         ...         ...         ...         ...     ...        \n",
       "2893         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2894         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2895         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2896         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2897         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2898         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2899         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2900         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2901         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2902         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2903         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2904         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2905         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2906         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2907         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2908         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2909         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2910         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2911         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2912         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2913         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2914         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2915         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2916         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2917         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2918         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2919         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2920         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2921         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "2922         NaN         NaN         NaN         NaN         NaN     ...        \n",
       "\n",
       "      Unnamed: 15  Unnamed: 16  Unnamed: 17  Unnamed: 18  Unnamed: 19  \\\n",
       "0             NaN          NaN          NaN          NaN          NaN   \n",
       "1             NaN          NaN          NaN          NaN          NaN   \n",
       "2             NaN          NaN          NaN          NaN          NaN   \n",
       "3             NaN          NaN          NaN          NaN          NaN   \n",
       "4             NaN          NaN          NaN          NaN          NaN   \n",
       "5             NaN          NaN          NaN          NaN          NaN   \n",
       "6             NaN          NaN          NaN          NaN          NaN   \n",
       "7             NaN          NaN          NaN          NaN          NaN   \n",
       "8             NaN          NaN          NaN          NaN          NaN   \n",
       "9             NaN          NaN          NaN          NaN          NaN   \n",
       "10            NaN          NaN          NaN          NaN          NaN   \n",
       "11            NaN          NaN          NaN          NaN          NaN   \n",
       "12            NaN          NaN          NaN          NaN          NaN   \n",
       "13            NaN          NaN          NaN          NaN          NaN   \n",
       "14            NaN          NaN          NaN          NaN          NaN   \n",
       "15            NaN          NaN          NaN          NaN          NaN   \n",
       "16            NaN          NaN          NaN          NaN          NaN   \n",
       "17            NaN          NaN          NaN          NaN          NaN   \n",
       "18            NaN          NaN          NaN          NaN          NaN   \n",
       "19            NaN          NaN          NaN          NaN          NaN   \n",
       "20            NaN          NaN          NaN          NaN          NaN   \n",
       "21            NaN          NaN          NaN          NaN          NaN   \n",
       "22            NaN          NaN          NaN          NaN          NaN   \n",
       "23            NaN          NaN          NaN          NaN          NaN   \n",
       "24            NaN          NaN          NaN          NaN          NaN   \n",
       "25            NaN          NaN          NaN          NaN          NaN   \n",
       "26            NaN          NaN          NaN          NaN          NaN   \n",
       "27            NaN          NaN          NaN          NaN          NaN   \n",
       "28            NaN          NaN          NaN          NaN          NaN   \n",
       "29            NaN          NaN          NaN          NaN          NaN   \n",
       "...           ...          ...          ...          ...          ...   \n",
       "2893          NaN          NaN          NaN          NaN          NaN   \n",
       "2894          NaN          NaN          NaN          NaN          NaN   \n",
       "2895          NaN          NaN          NaN          NaN          NaN   \n",
       "2896          NaN          NaN          NaN          NaN          NaN   \n",
       "2897          NaN          NaN          NaN          NaN          NaN   \n",
       "2898          NaN          NaN          NaN          NaN          NaN   \n",
       "2899          NaN          NaN          NaN          NaN          NaN   \n",
       "2900          NaN          NaN          NaN          NaN          NaN   \n",
       "2901          NaN          NaN          NaN          NaN          NaN   \n",
       "2902          NaN          NaN          NaN          NaN          NaN   \n",
       "2903          NaN          NaN          NaN          NaN          NaN   \n",
       "2904          NaN          NaN          NaN          NaN          NaN   \n",
       "2905          NaN          NaN          NaN          NaN          NaN   \n",
       "2906          NaN          NaN          NaN          NaN          NaN   \n",
       "2907          NaN          NaN          NaN          NaN          NaN   \n",
       "2908          NaN          NaN          NaN          NaN          NaN   \n",
       "2909          NaN          NaN          NaN          NaN          NaN   \n",
       "2910          NaN          NaN          NaN          NaN          NaN   \n",
       "2911          NaN          NaN          NaN          NaN          NaN   \n",
       "2912          NaN          NaN          NaN          NaN          NaN   \n",
       "2913          NaN          NaN          NaN          NaN          NaN   \n",
       "2914          NaN          NaN          NaN          NaN          NaN   \n",
       "2915          NaN          NaN          NaN          NaN          NaN   \n",
       "2916          NaN          NaN          NaN          NaN          NaN   \n",
       "2917          NaN          NaN          NaN          NaN          NaN   \n",
       "2918          NaN          NaN          NaN          NaN          NaN   \n",
       "2919          NaN          NaN          NaN          NaN          NaN   \n",
       "2920          NaN          NaN          NaN          NaN          NaN   \n",
       "2921          NaN          NaN          NaN          NaN          NaN   \n",
       "2922          NaN          NaN          NaN          NaN          NaN   \n",
       "\n",
       "      Unnamed: 20  Unnamed: 21  Unnamed: 22  Unnamed: 23  Unnamed: 24  \n",
       "0             NaN          NaN          NaN          NaN          NaN  \n",
       "1             NaN          NaN          NaN          NaN          NaN  \n",
       "2             NaN          NaN          NaN          NaN          NaN  \n",
       "3             NaN          NaN          NaN          NaN          NaN  \n",
       "4             NaN          NaN          NaN          NaN          NaN  \n",
       "5             NaN          NaN          NaN          NaN          NaN  \n",
       "6             NaN          NaN          NaN          NaN          NaN  \n",
       "7             NaN          NaN          NaN          NaN          NaN  \n",
       "8             NaN          NaN          NaN          NaN          NaN  \n",
       "9             NaN          NaN          NaN          NaN          NaN  \n",
       "10            NaN          NaN          NaN          NaN          NaN  \n",
       "11            NaN          NaN          NaN          NaN          NaN  \n",
       "12            NaN          NaN          NaN          NaN          NaN  \n",
       "13            NaN          NaN          NaN          NaN          NaN  \n",
       "14            NaN          NaN          NaN          NaN          NaN  \n",
       "15            NaN          NaN          NaN          NaN          NaN  \n",
       "16            NaN          NaN          NaN          NaN          NaN  \n",
       "17            NaN          NaN          NaN          NaN          NaN  \n",
       "18            NaN          NaN          NaN          NaN          NaN  \n",
       "19            NaN          NaN          NaN          NaN          NaN  \n",
       "20            NaN          NaN          NaN          NaN          NaN  \n",
       "21            NaN          NaN          NaN          NaN          NaN  \n",
       "22            NaN          NaN          NaN          NaN          NaN  \n",
       "23            NaN          NaN          NaN          NaN          NaN  \n",
       "24            NaN          NaN          NaN          NaN          NaN  \n",
       "25            NaN          NaN          NaN          NaN          NaN  \n",
       "26            NaN          NaN          NaN          NaN          NaN  \n",
       "27            NaN          NaN          NaN          NaN          NaN  \n",
       "28            NaN          NaN          NaN          NaN          NaN  \n",
       "29            NaN          NaN          NaN          NaN          NaN  \n",
       "...           ...          ...          ...          ...          ...  \n",
       "2893          NaN          NaN          NaN          NaN          NaN  \n",
       "2894          NaN          NaN          NaN          NaN          NaN  \n",
       "2895          NaN          NaN          NaN          NaN          NaN  \n",
       "2896          NaN          NaN          NaN          NaN          NaN  \n",
       "2897          NaN          NaN          NaN          NaN          NaN  \n",
       "2898          NaN          NaN          NaN          NaN          NaN  \n",
       "2899          NaN          NaN          NaN          NaN          NaN  \n",
       "2900          NaN          NaN          NaN          NaN          NaN  \n",
       "2901          NaN          NaN          NaN          NaN          NaN  \n",
       "2902          NaN          NaN          NaN          NaN          NaN  \n",
       "2903          NaN          NaN          NaN          NaN          NaN  \n",
       "2904          NaN          NaN          NaN          NaN          NaN  \n",
       "2905          NaN          NaN          NaN          NaN          NaN  \n",
       "2906          NaN          NaN          NaN          NaN          NaN  \n",
       "2907          NaN          NaN          NaN          NaN          NaN  \n",
       "2908          NaN          NaN          NaN          NaN          NaN  \n",
       "2909          NaN          NaN          NaN          NaN          NaN  \n",
       "2910          NaN          NaN          NaN          NaN          NaN  \n",
       "2911          NaN          NaN          NaN          NaN          NaN  \n",
       "2912          NaN          NaN          NaN          NaN          NaN  \n",
       "2913          NaN          NaN          NaN          NaN          NaN  \n",
       "2914          NaN          NaN          NaN          NaN          NaN  \n",
       "2915          NaN          NaN          NaN          NaN          NaN  \n",
       "2916          NaN          NaN          NaN          NaN          NaN  \n",
       "2917          NaN          NaN          NaN          NaN          NaN  \n",
       "2918          NaN          NaN          NaN          NaN          NaN  \n",
       "2919          NaN          NaN          NaN          NaN          NaN  \n",
       "2920          NaN          NaN          NaN          NaN          NaN  \n",
       "2921          NaN          NaN          NaN          NaN          NaN  \n",
       "2922          NaN          NaN          NaN          NaN          NaN  \n",
       "\n",
       "[2923 rows x 25 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_count\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols = [i for i in range(3,25)]\n",
    "category_count.drop(category_count.columns[cols],axis=1, inplace=True)"
   ]
  },
  {
   "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>Shopper_ID</th>\n",
       "      <th>Store_Category_visited</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Sports Stores</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>Sports Stores</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Shopper_101</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Shopper_101</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Shopper_101</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Shopper_101</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shopper_102</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Shopper_102</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shopper_102</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shopper_102</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shopper_103</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Shopper_103</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2893</th>\n",
       "      <td>Shopper_94</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2894</th>\n",
       "      <td>Shopper_95</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2895</th>\n",
       "      <td>Shopper_95</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2896</th>\n",
       "      <td>Shopper_95</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2897</th>\n",
       "      <td>Shopper_95</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2898</th>\n",
       "      <td>Shopper_95</td>\n",
       "      <td>Sports Stores</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2899</th>\n",
       "      <td>Shopper_96</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2900</th>\n",
       "      <td>Shopper_96</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2901</th>\n",
       "      <td>Shopper_96</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2902</th>\n",
       "      <td>Shopper_96</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2903</th>\n",
       "      <td>Shopper_96</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2904</th>\n",
       "      <td>Shopper_96</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2905</th>\n",
       "      <td>Shopper_97</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2906</th>\n",
       "      <td>Shopper_97</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2907</th>\n",
       "      <td>Shopper_97</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2908</th>\n",
       "      <td>Shopper_97</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2909</th>\n",
       "      <td>Shopper_97</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2910</th>\n",
       "      <td>Shopper_97</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2911</th>\n",
       "      <td>Shopper_97</td>\n",
       "      <td>Sports Stores</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2912</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2913</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2914</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2915</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2916</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2917</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2918</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2919</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2920</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2921</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2922</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Sports Stores</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2923 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Shopper_ID   Store_Category_visited  count\n",
       "0       Shopper_1  Apparel And Accessories     77\n",
       "1       Shopper_1        Department Stores     45\n",
       "2       Shopper_1      Furniture And Decor     30\n",
       "3       Shopper_1                    Misc.      2\n",
       "4       Shopper_1          Qsr Restaurants     35\n",
       "5      Shopper_10  Apparel And Accessories     46\n",
       "6      Shopper_10        Department Stores      1\n",
       "7      Shopper_10      Furniture And Decor     30\n",
       "8      Shopper_10                    Misc.      4\n",
       "9      Shopper_10          Qsr Restaurants    102\n",
       "10     Shopper_10              Shoe Stores      1\n",
       "11     Shopper_10            Sports Stores      2\n",
       "12     Shopper_10               Toy Stores      1\n",
       "13    Shopper_100  Apparel And Accessories     62\n",
       "14    Shopper_100        Department Stores     24\n",
       "15    Shopper_100      Furniture And Decor     60\n",
       "16    Shopper_100                    Misc.      5\n",
       "17    Shopper_100          Qsr Restaurants     31\n",
       "18    Shopper_100              Shoe Stores      4\n",
       "19    Shopper_100            Sports Stores      1\n",
       "20    Shopper_101  Apparel And Accessories     94\n",
       "21    Shopper_101        Department Stores      6\n",
       "22    Shopper_101      Furniture And Decor     40\n",
       "23    Shopper_101          Qsr Restaurants     43\n",
       "24    Shopper_102  Apparel And Accessories     28\n",
       "25    Shopper_102      Furniture And Decor      9\n",
       "26    Shopper_102          Qsr Restaurants    142\n",
       "27    Shopper_102              Shoe Stores      2\n",
       "28    Shopper_103  Apparel And Accessories     75\n",
       "29    Shopper_103      Furniture And Decor     17\n",
       "...           ...                      ...    ...\n",
       "2893   Shopper_94          Qsr Restaurants     64\n",
       "2894   Shopper_95  Apparel And Accessories    116\n",
       "2895   Shopper_95        Department Stores      3\n",
       "2896   Shopper_95      Furniture And Decor     23\n",
       "2897   Shopper_95          Qsr Restaurants     42\n",
       "2898   Shopper_95            Sports Stores      1\n",
       "2899   Shopper_96  Apparel And Accessories     86\n",
       "2900   Shopper_96        Department Stores      4\n",
       "2901   Shopper_96      Furniture And Decor     35\n",
       "2902   Shopper_96                    Misc.      2\n",
       "2903   Shopper_96          Qsr Restaurants     63\n",
       "2904   Shopper_96              Shoe Stores      2\n",
       "2905   Shopper_97  Apparel And Accessories     65\n",
       "2906   Shopper_97        Department Stores     29\n",
       "2907   Shopper_97      Furniture And Decor     24\n",
       "2908   Shopper_97                    Misc.      1\n",
       "2909   Shopper_97          Qsr Restaurants     64\n",
       "2910   Shopper_97              Shoe Stores      1\n",
       "2911   Shopper_97            Sports Stores      4\n",
       "2912   Shopper_98  Apparel And Accessories     73\n",
       "2913   Shopper_98        Department Stores      2\n",
       "2914   Shopper_98      Furniture And Decor     66\n",
       "2915   Shopper_98          Qsr Restaurants     49\n",
       "2916   Shopper_99  Apparel And Accessories     70\n",
       "2917   Shopper_99        Department Stores      2\n",
       "2918   Shopper_99      Furniture And Decor     52\n",
       "2919   Shopper_99                    Misc.      8\n",
       "2920   Shopper_99          Qsr Restaurants     52\n",
       "2921   Shopper_99              Shoe Stores      5\n",
       "2922   Shopper_99            Sports Stores      1\n",
       "\n",
       "[2923 rows x 3 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>Shopper_ID</th>\n",
       "      <th>Store_Name</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>BOSS</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Club Monaco Women</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>H&amp;M</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Janie And Jack</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Kate Spade New York</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Sarku Japan</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>The Walking Company</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Tiffany &amp; Co.</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>abercrombie kids</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Auntie Anne's Pretzels</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Brighton Collectibles</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Camper</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Club Monaco Women</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8709</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8710</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Kate Spade New York</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8711</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8712</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8713</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8715</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8716</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8717</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8718</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Bath &amp; Body Works</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8719</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8720</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8721</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Brighton Collectibles</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8722</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8723</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Camper</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8724</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Club Monaco Women</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8725</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8726</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>H&amp;M</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8727</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8728</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Janie And Jack</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8729</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Kate Spade New York</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8730</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>L'Occitane en Provence</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8731</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Lids</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8732</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8733</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8734</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8735</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8736</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Swatch</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8737</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8738</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>abercrombie kids</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8739 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Shopper_ID              Store_Name  count\n",
       "0      Shopper_1        49ers Team Store      6\n",
       "1      Shopper_1                    BOSS      1\n",
       "2      Shopper_1          Bespoke Events      1\n",
       "3      Shopper_1          Bloomingdale's     56\n",
       "4      Shopper_1           Bristol Farms      8\n",
       "5      Shopper_1       Club Monaco Women      2\n",
       "6      Shopper_1               Cotton On     14\n",
       "7      Shopper_1                     H&M     10\n",
       "8      Shopper_1                 H&M Man      6\n",
       "9      Shopper_1          Janie And Jack      3\n",
       "10     Shopper_1     Kate Spade New York      2\n",
       "11     Shopper_1              M.Y. China      1\n",
       "12     Shopper_1     ProActiv Solutions      30\n",
       "13     Shopper_1             Sarku Japan      1\n",
       "14     Shopper_1            Steve Madden     18\n",
       "15     Shopper_1               Swarovski     15\n",
       "16     Shopper_1                 TAP 415      8\n",
       "17     Shopper_1     The Walking Company      3\n",
       "18     Shopper_1           Tiffany & Co.      2\n",
       "19     Shopper_1        abercrombie kids      2\n",
       "20    Shopper_10        49ers Team Store      4\n",
       "21    Shopper_10  Auntie Anne's Pretzels      2\n",
       "22    Shopper_10          Bespoke Events      4\n",
       "23    Shopper_10          Bloomingdale's      1\n",
       "24    Shopper_10   Brighton Collectibles      5\n",
       "25    Shopper_10           Bristol Farms      2\n",
       "26    Shopper_10                  Camper      2\n",
       "27    Shopper_10       Club Monaco Women      2\n",
       "28    Shopper_10               Cotton On      7\n",
       "29    Shopper_10                 H&M Man      1\n",
       "...          ...                     ...    ...\n",
       "8709  Shopper_98                 H&M Man      1\n",
       "8710  Shopper_98     Kate Spade New York      1\n",
       "8711  Shopper_98              M.Y. China      1\n",
       "8712  Shopper_98     ProActiv Solutions      66\n",
       "8713  Shopper_98            Steve Madden     21\n",
       "8714  Shopper_98               Swarovski     49\n",
       "8715  Shopper_98                 TAP 415      1\n",
       "8716  Shopper_99        49ers Team Store      2\n",
       "8717  Shopper_99                  Adidas      1\n",
       "8718  Shopper_99       Bath & Body Works      1\n",
       "8719  Shopper_99          Bespoke Events      9\n",
       "8720  Shopper_99          Bloomingdale's      5\n",
       "8721  Shopper_99   Brighton Collectibles      3\n",
       "8722  Shopper_99           Bristol Farms      6\n",
       "8723  Shopper_99                  Camper      5\n",
       "8724  Shopper_99       Club Monaco Women      2\n",
       "8725  Shopper_99               Cotton On     25\n",
       "8726  Shopper_99                     H&M      1\n",
       "8727  Shopper_99                 H&M Man      9\n",
       "8728  Shopper_99          Janie And Jack      3\n",
       "8729  Shopper_99     Kate Spade New York      3\n",
       "8730  Shopper_99  L'Occitane en Provence      5\n",
       "8731  Shopper_99                    Lids      1\n",
       "8732  Shopper_99              M.Y. China      1\n",
       "8733  Shopper_99     ProActiv Solutions      51\n",
       "8734  Shopper_99            Steve Madden      8\n",
       "8735  Shopper_99               Swarovski     28\n",
       "8736  Shopper_99                  Swatch      2\n",
       "8737  Shopper_99                 TAP 415     18\n",
       "8738  Shopper_99        abercrombie kids      1\n",
       "\n",
       "[8739 rows x 3 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'Apparel And Accessories',\n",
       " u'Apparel and Accessories',\n",
       " u'Casual Restaurants',\n",
       " u'Cellular Phone Stores',\n",
       " u'Department Stores',\n",
       " u'Electronics Stores',\n",
       " u'Furniture And Decor',\n",
       " u'Misc.',\n",
       " u'Office Supply Stores',\n",
       " u'Qsr Restaurants',\n",
       " u'Shoe Stores',\n",
       " u'Specialty Store',\n",
       " u'Sports Stores',\n",
       " u'Toy Stores']"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categories = sorted(categorymap.Fine_Category.unique())\n",
    "categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{u'49ers Team Store': u'Sports Stores',\n",
       " u'Abercrombie & Fitch': u'Apparel And Accessories',\n",
       " u'Adidas': u'Apparel And Accessories',\n",
       " u'Ajisen Ramen': u'Qsr Restaurants',\n",
       " u'Aldo': u'Shoe Stores',\n",
       " u'Amazon Pop-Up': u'Misc.',\n",
       " u'American Eagle Outfitters': u'Apparel And Accessories',\n",
       " u'Amiri Salon': u'Furniture And Decor',\n",
       " u'Amoura Cafe Fresh Mediterranean': u'Qsr Restaurants',\n",
       " u'Andale Mexican Restaurant': u'Qsr Restaurants',\n",
       " u'Aritzia': u'Apparel And Accessories',\n",
       " u\"Auntie Anne's Pretzels\": u'Qsr Restaurants',\n",
       " u'Aveda': u'Furniture And Decor',\n",
       " u'BCBGMAXAZRIA': u'Apparel And Accessories',\n",
       " u'BOSS': u'Apparel And Accessories',\n",
       " u'Banana Republic': u'Apparel And Accessories',\n",
       " u'Bath & Body Works': u'Furniture And Decor',\n",
       " u\"Beard Papa's Cream Puffs\": u'Qsr Restaurants',\n",
       " u'Bespoke Coworking': u'Specialty Store',\n",
       " u'Bespoke Events': u'Misc.',\n",
       " u\"Bloomingdale's\": u'Department Stores',\n",
       " u'Bose': u'Electronics Stores',\n",
       " u'Brighton Collectibles': u'Apparel And Accessories',\n",
       " u'Bristol Farms': u'Casual Restaurants',\n",
       " u'Brookstone': u'Department Stores',\n",
       " u'Buckhorn Grill': u'Qsr Restaurants',\n",
       " u'Burberry': u'Apparel And Accessories',\n",
       " u'Burke Williams Day Spa': u'Misc.',\n",
       " u'Cafe Bellini': u'Qsr Restaurants',\n",
       " u'Caffe Central': u'Qsr Restaurants',\n",
       " u'Cako Bakery': u'Qsr Restaurants',\n",
       " u'Camper': u'Shoe Stores',\n",
       " u'Century San Francisco Centre 9': u'Misc.',\n",
       " u'Champs Sports': u'Sports Stores',\n",
       " u\"Charley's Grilled Subs\": u'Qsr Restaurants',\n",
       " u'Chipotle': u'Qsr Restaurants',\n",
       " u\"Claire's Boutique\": u'Apparel And Accessories',\n",
       " u'Clarks': u'Shoe Stores',\n",
       " u'Club Monaco Men': u'Apparel And Accessories',\n",
       " u'Club Monaco Women': u'Apparel And Accessories',\n",
       " u'Coach': u'Apparel And Accessories',\n",
       " u'Coriander Gourmet Thai': u'Qsr Restaurants',\n",
       " u'Corner W': u'Shoe Stores',\n",
       " u'Cotton On': u'Apparel And Accessories',\n",
       " u'Currency Exchange International ': u'Misc.',\n",
       " u'DAVIDsTEA': u'Qsr Restaurants',\n",
       " u'Dyson': u'Misc.',\n",
       " u'ECCO': u'Shoe Stores',\n",
       " u'Eddie Bauer': u'Apparel And Accessories',\n",
       " u'Express': u'Apparel And Accessories',\n",
       " u'Eyebrow Plus': u'Furniture And Decor',\n",
       " u'Finish Line': u'Apparel And Accessories',\n",
       " u'Fire of Brazil': u'Qsr Restaurants',\n",
       " u'Forever Flawless': u'Furniture And Decor',\n",
       " u'Forever Flawless ': u'Furniture And Decor',\n",
       " u'Fossil': u'Apparel And Accessories',\n",
       " u\"Francesca's Collection \": u'Apparel And Accessories',\n",
       " u'GNC': u'Furniture And Decor',\n",
       " u'GUESS ': u'Apparel And Accessories',\n",
       " u'Ghirardelli Ice Cream and Chocolate Shop ': u'Qsr Restaurants',\n",
       " u'Go! Toys and Games': u'Toy Stores',\n",
       " u'Godiva Chocolatier': u'Qsr Restaurants',\n",
       " u'H&M': u'Apparel And Accessories',\n",
       " u'H&M Man': u'Apparel And Accessories',\n",
       " u'Haagen Dazs': u'Qsr Restaurants',\n",
       " u'Hallmark': u'Office Supply Stores',\n",
       " u'Hollister Co.': u'Apparel And Accessories',\n",
       " u'House of Hoops by Foot Locker': u'Sports Stores',\n",
       " u'J.Crew': u'Apparel And Accessories',\n",
       " u'Jamba Juice': u'Qsr Restaurants',\n",
       " u'Janie And Jack': u'Apparel And Accessories',\n",
       " u'Karen Millen': u'Apparel And Accessories',\n",
       " u'Kate Spade New York': u'Apparel And Accessories',\n",
       " u'Kay Jewelers': u'Misc.',\n",
       " u'Kichi Grill': u'Qsr Restaurants',\n",
       " u\"Kiehl's\": u'Furniture And Decor',\n",
       " u\"L'Occitane en Provence\": u'Furniture And Decor',\n",
       " u'LEGO': u'Toy Stores',\n",
       " u'Lady Foot Locker': u'Sports Stores',\n",
       " u'Lids': u'Apparel and Accessories',\n",
       " u'Lobster Me': u'Qsr Restaurants',\n",
       " u'Loving Hut Vegan Cuisine ': u'Qsr Restaurants',\n",
       " u'Lucky Brand Jeans': u'Apparel And Accessories',\n",
       " u'M.Y. China': u'Qsr Restaurants',\n",
       " u'Madewell': u'Apparel And Accessories',\n",
       " u'Marbles: The Brain Store': u'Toy Stores',\n",
       " u'Max & Co.': u'Apparel And Accessories',\n",
       " u'Michael Kors': u'Apparel And Accessories',\n",
       " u'Michael Kors Men': u'Apparel And Accessories',\n",
       " u'Microsoft': u'Electronics Stores',\n",
       " u'Mrs. Fields': u'Qsr Restaurants',\n",
       " u'NYS Collection': u'Apparel And Accessories',\n",
       " u'New Era': u'Sports Stores',\n",
       " u'Nordstrom': u'Department Stores',\n",
       " u'Nordstrom E-Bar': u'Qsr Restaurants',\n",
       " u'OAK+FORT': u'Apparel And Accessories',\n",
       " u'Onassis': u'Furniture And Decor',\n",
       " u'Optica': u'Furniture And Decor',\n",
       " u'Origins': u'Furniture And Decor',\n",
       " u'PacSun': u'Apparel And Accessories',\n",
       " u'Panda Express': u'Qsr Restaurants',\n",
       " u'Pandora': u'Misc.',\n",
       " u'Papyrus': u'Office Supply Stores',\n",
       " u'Pasta Moto': u'Qsr Restaurants',\n",
       " u\"Peet's Coffee & Tea\": u'Qsr Restaurants',\n",
       " u'Penhaligon\\xef\\xbf\\xbd\\xdb\\xaas': u'Misc.',\n",
       " u'Perfumania': u'Furniture And Decor',\n",
       " u'Pressed Juicery': u'Qsr Restaurants',\n",
       " u'ProActiv Solutions ': u'Misc.',\n",
       " u'RED Valentino': u'Apparel And Accessories',\n",
       " u'Razer': u'Specialty Store',\n",
       " u'Rolex': u'Misc.',\n",
       " u'SF Sports': u'Apparel And Accessories',\n",
       " u'Samsonite': u'Apparel and Accessories',\n",
       " u'San Francisco Luggage Co.': u'Apparel and Accessories',\n",
       " u'San Francisco Soup Company': u'Qsr Restaurants',\n",
       " u'Sarku Japan': u'Qsr Restaurants',\n",
       " u'Shoe Palace ': u'Shoe Stores',\n",
       " u'Shoe Wiz': u'Misc.',\n",
       " u'Solstice': u'Apparel And Accessories',\n",
       " u'Sorabol Korean BBQ & Asian Noodles': u'Qsr Restaurants',\n",
       " u'Starbucks': u'Qsr Restaurants',\n",
       " u'Steve Madden': u'Shoe Stores',\n",
       " u'Studio Manhattan': u'Apparel and Accessories',\n",
       " u'Sunglass Hut': u'Apparel And Accessories',\n",
       " u'Sunglass Hut ': u'Apparel And Accessories',\n",
       " u'Superdry ': u'Apparel And Accessories',\n",
       " u'Sur La Table': u'Furniture And Decor',\n",
       " u'Swarovski': u'Apparel and Accessories',\n",
       " u'Swatch': u'Misc.',\n",
       " u'T-Mobile': u'Cellular Phone Stores',\n",
       " u'TAP 415': u'Qsr Restaurants',\n",
       " u'Teavana': u'Qsr Restaurants',\n",
       " u'The Art of Shaving': u'Furniture And Decor',\n",
       " u'The Body Shop': u'Furniture And Decor',\n",
       " u'The Walking Company': u'Shoe Stores',\n",
       " u'Tiffany & Co.': u'Misc.',\n",
       " u'Timberland': u'Apparel And Accessories',\n",
       " u'Tory Burch ': u'Apparel And Accessories',\n",
       " u'Tourneau': u'Misc.',\n",
       " u'True Religion Jeans': u'Apparel And Accessories',\n",
       " u'Tumi': u'Apparel and Accessories',\n",
       " u'Vans': u'Shoe Stores',\n",
       " u'Vera Bradley': u'Apparel And Accessories',\n",
       " u\"Victoria's Secret\": u'Apparel And Accessories',\n",
       " u'Warriors Team Store': u'Sports Stores',\n",
       " u\"Wetzel's Pretzels\": u'Qsr Restaurants',\n",
       " u'Yoppi Frozen Yogurt ': u'Qsr Restaurants',\n",
       " u'Zara': u'Apparel And Accessories',\n",
       " u'abercrombie kids': u'Apparel And Accessories',\n",
       " u'bareMinerals': u'Furniture And Decor',\n",
       " u'bebe': u'Apparel And Accessories',\n",
       " u'iPlay n Talk': u'Electronics Stores',\n",
       " u'lululemon athletica': u'Apparel and Accessories'}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mapping = dict(categorymap[['Store_Name','Fine_Category' ]].values)\n",
    "mapping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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",
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       "        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>Shopper_ID</th>\n",
       "      <th>Store_Name</th>\n",
       "      <th>count</th>\n",
       "      <th>Store_Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>6</td>\n",
       "      <td>Sports Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>BOSS</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>1</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>56</td>\n",
       "      <td>Department Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>8</td>\n",
       "      <td>Casual Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Club Monaco Women</td>\n",
       "      <td>2</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>14</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>H&amp;M</td>\n",
       "      <td>10</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>6</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Janie And Jack</td>\n",
       "      <td>3</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Kate Spade New York</td>\n",
       "      <td>2</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>1</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>30</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Sarku Japan</td>\n",
       "      <td>1</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>18</td>\n",
       "      <td>Shoe Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>15</td>\n",
       "      <td>Apparel and Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>8</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>The Walking Company</td>\n",
       "      <td>3</td>\n",
       "      <td>Shoe Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Tiffany &amp; Co.</td>\n",
       "      <td>2</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>abercrombie kids</td>\n",
       "      <td>2</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>4</td>\n",
       "      <td>Sports Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Auntie Anne's Pretzels</td>\n",
       "      <td>2</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>4</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>1</td>\n",
       "      <td>Department Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Brighton Collectibles</td>\n",
       "      <td>5</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>2</td>\n",
       "      <td>Casual Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Camper</td>\n",
       "      <td>2</td>\n",
       "      <td>Shoe Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Club Monaco Women</td>\n",
       "      <td>2</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>7</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8709</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8710</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Kate Spade New York</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8711</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>1</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8712</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>66</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8713</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>21</td>\n",
       "      <td>Shoe Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>49</td>\n",
       "      <td>Apparel and Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8715</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>1</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8716</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>2</td>\n",
       "      <td>Sports Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8717</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8718</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Bath &amp; Body Works</td>\n",
       "      <td>1</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8719</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>9</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8720</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>5</td>\n",
       "      <td>Department Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8721</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Brighton Collectibles</td>\n",
       "      <td>3</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8722</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>6</td>\n",
       "      <td>Casual Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8723</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Camper</td>\n",
       "      <td>5</td>\n",
       "      <td>Shoe Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8724</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Club Monaco Women</td>\n",
       "      <td>2</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8725</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>25</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8726</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>H&amp;M</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8727</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>9</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8728</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Janie And Jack</td>\n",
       "      <td>3</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8729</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Kate Spade New York</td>\n",
       "      <td>3</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8730</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>L'Occitane en Provence</td>\n",
       "      <td>5</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8731</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Lids</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel and Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8732</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>1</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8733</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>51</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8734</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>8</td>\n",
       "      <td>Shoe Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8735</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>28</td>\n",
       "      <td>Apparel and Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8736</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Swatch</td>\n",
       "      <td>2</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8737</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>18</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8738</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>abercrombie kids</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8739 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Shopper_ID              Store_Name  count           Store_Category\n",
       "0      Shopper_1        49ers Team Store      6            Sports Stores\n",
       "1      Shopper_1                    BOSS      1  Apparel And Accessories\n",
       "2      Shopper_1          Bespoke Events      1                    Misc.\n",
       "3      Shopper_1          Bloomingdale's     56        Department Stores\n",
       "4      Shopper_1           Bristol Farms      8       Casual Restaurants\n",
       "5      Shopper_1       Club Monaco Women      2  Apparel And Accessories\n",
       "6      Shopper_1               Cotton On     14  Apparel And Accessories\n",
       "7      Shopper_1                     H&M     10  Apparel And Accessories\n",
       "8      Shopper_1                 H&M Man      6  Apparel And Accessories\n",
       "9      Shopper_1          Janie And Jack      3  Apparel And Accessories\n",
       "10     Shopper_1     Kate Spade New York      2  Apparel And Accessories\n",
       "11     Shopper_1              M.Y. China      1          Qsr Restaurants\n",
       "12     Shopper_1     ProActiv Solutions      30                    Misc.\n",
       "13     Shopper_1             Sarku Japan      1          Qsr Restaurants\n",
       "14     Shopper_1            Steve Madden     18              Shoe Stores\n",
       "15     Shopper_1               Swarovski     15  Apparel and Accessories\n",
       "16     Shopper_1                 TAP 415      8          Qsr Restaurants\n",
       "17     Shopper_1     The Walking Company      3              Shoe Stores\n",
       "18     Shopper_1           Tiffany & Co.      2                    Misc.\n",
       "19     Shopper_1        abercrombie kids      2  Apparel And Accessories\n",
       "20    Shopper_10        49ers Team Store      4            Sports Stores\n",
       "21    Shopper_10  Auntie Anne's Pretzels      2          Qsr Restaurants\n",
       "22    Shopper_10          Bespoke Events      4                    Misc.\n",
       "23    Shopper_10          Bloomingdale's      1        Department Stores\n",
       "24    Shopper_10   Brighton Collectibles      5  Apparel And Accessories\n",
       "25    Shopper_10           Bristol Farms      2       Casual Restaurants\n",
       "26    Shopper_10                  Camper      2              Shoe Stores\n",
       "27    Shopper_10       Club Monaco Women      2  Apparel And Accessories\n",
       "28    Shopper_10               Cotton On      7  Apparel And Accessories\n",
       "29    Shopper_10                 H&M Man      1  Apparel And Accessories\n",
       "...          ...                     ...    ...                      ...\n",
       "8709  Shopper_98                 H&M Man      1  Apparel And Accessories\n",
       "8710  Shopper_98     Kate Spade New York      1  Apparel And Accessories\n",
       "8711  Shopper_98              M.Y. China      1          Qsr Restaurants\n",
       "8712  Shopper_98     ProActiv Solutions      66                    Misc.\n",
       "8713  Shopper_98            Steve Madden     21              Shoe Stores\n",
       "8714  Shopper_98               Swarovski     49  Apparel and Accessories\n",
       "8715  Shopper_98                 TAP 415      1          Qsr Restaurants\n",
       "8716  Shopper_99        49ers Team Store      2            Sports Stores\n",
       "8717  Shopper_99                  Adidas      1  Apparel And Accessories\n",
       "8718  Shopper_99       Bath & Body Works      1      Furniture And Decor\n",
       "8719  Shopper_99          Bespoke Events      9                    Misc.\n",
       "8720  Shopper_99          Bloomingdale's      5        Department Stores\n",
       "8721  Shopper_99   Brighton Collectibles      3  Apparel And Accessories\n",
       "8722  Shopper_99           Bristol Farms      6       Casual Restaurants\n",
       "8723  Shopper_99                  Camper      5              Shoe Stores\n",
       "8724  Shopper_99       Club Monaco Women      2  Apparel And Accessories\n",
       "8725  Shopper_99               Cotton On     25  Apparel And Accessories\n",
       "8726  Shopper_99                     H&M      1  Apparel And Accessories\n",
       "8727  Shopper_99                 H&M Man      9  Apparel And Accessories\n",
       "8728  Shopper_99          Janie And Jack      3  Apparel And Accessories\n",
       "8729  Shopper_99     Kate Spade New York      3  Apparel And Accessories\n",
       "8730  Shopper_99  L'Occitane en Provence      5      Furniture And Decor\n",
       "8731  Shopper_99                    Lids      1  Apparel and Accessories\n",
       "8732  Shopper_99              M.Y. China      1          Qsr Restaurants\n",
       "8733  Shopper_99     ProActiv Solutions      51                    Misc.\n",
       "8734  Shopper_99            Steve Madden      8              Shoe Stores\n",
       "8735  Shopper_99               Swarovski     28  Apparel and Accessories\n",
       "8736  Shopper_99                  Swatch      2                    Misc.\n",
       "8737  Shopper_99                 TAP 415     18          Qsr Restaurants\n",
       "8738  Shopper_99        abercrombie kids      1  Apparel And Accessories\n",
       "\n",
       "[8739 rows x 4 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store_count['Store_Category'] = store_count.Store_Name.map(mapping)\n",
    "store_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>Store_Name</th>\n",
       "      <th>Floor_name</th>\n",
       "      <th>Floor_Index</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jamba Juice</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784091</td>\n",
       "      <td>-122.406813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Coriander Gourmet Thai</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784596</td>\n",
       "      <td>-122.406210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NYS Collection</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784396</td>\n",
       "      <td>-122.406587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hallmark</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783771</td>\n",
       "      <td>-122.407377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sorabol Korean BBQ &amp; Asian Noodles</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784601</td>\n",
       "      <td>-122.406328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Pasta Moto</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784534</td>\n",
       "      <td>-122.406025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Abercrombie &amp; Fitch</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783944</td>\n",
       "      <td>-122.407537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Fire of Brazil</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784447</td>\n",
       "      <td>-122.406224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784161</td>\n",
       "      <td>-122.406900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Corner W</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784808</td>\n",
       "      <td>-122.406501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Buckhorn Grill</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784569</td>\n",
       "      <td>-122.406141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Cako Bakery</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784670</td>\n",
       "      <td>-122.406679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Claire's Boutique</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784126</td>\n",
       "      <td>-122.407061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784159</td>\n",
       "      <td>-122.406350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>PacSun</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783959</td>\n",
       "      <td>-122.406910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784411</td>\n",
       "      <td>-122.406709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Andale Mexican Restaurant</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784511</td>\n",
       "      <td>-122.405956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Sunglass Hut</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784071</td>\n",
       "      <td>-122.406885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Peet's Coffee &amp; Tea</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784591</td>\n",
       "      <td>-122.406782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Panda Express</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783778</td>\n",
       "      <td>-122.407161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>GNC</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784053</td>\n",
       "      <td>-122.407307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>New Era</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783893</td>\n",
       "      <td>-122.407389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>LEGO</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784222</td>\n",
       "      <td>-122.406978</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Mrs. Fields</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783953</td>\n",
       "      <td>-122.407318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Beard Papa's Cream Puffs</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784505</td>\n",
       "      <td>-122.406555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Ajisen Ramen</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783767</td>\n",
       "      <td>-122.407070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shoe Palace</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784106</td>\n",
       "      <td>-122.407189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Loving Hut Vegan Cuisine</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784292</td>\n",
       "      <td>-122.406010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Ghirardelli Ice Cream and Chocolate Shop</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784449</td>\n",
       "      <td>-122.406665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Marbles: The Brain Store</td>\n",
       "      <td>Concourse Level</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784353</td>\n",
       "      <td>-122.406773</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>136</th>\n",
       "      <td>Lids</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784101</td>\n",
       "      <td>-122.406854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>iPlay n Talk</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783871</td>\n",
       "      <td>-122.407073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>Go! Toys and Games</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784153</td>\n",
       "      <td>-122.405871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783745</td>\n",
       "      <td>-122.405601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>Fossil</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784191</td>\n",
       "      <td>-122.407111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Vans</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784267</td>\n",
       "      <td>-122.405933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>Eyebrow Plus</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784386</td>\n",
       "      <td>-122.406589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>True Religion Jeans</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784540</td>\n",
       "      <td>-122.406132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>Finish Line</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783912</td>\n",
       "      <td>-122.407474</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>Lucky Brand Jeans</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784663</td>\n",
       "      <td>-122.406313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Bath &amp; Body Works</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784135</td>\n",
       "      <td>-122.406406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>H&amp;M</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783957</td>\n",
       "      <td>-122.406249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>Teavana</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783814</td>\n",
       "      <td>-122.407399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784197</td>\n",
       "      <td>-122.406980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>Forever Flawless</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784701</td>\n",
       "      <td>-122.406758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>Solstice</td>\n",
       "      <td>Level 3</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784360</td>\n",
       "      <td>-122.406786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>TAP 415</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784420</td>\n",
       "      <td>-122.406832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>Optica</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784702</td>\n",
       "      <td>-122.406248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784206</td>\n",
       "      <td>-122.406528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>Bespoke Coworking</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784178</td>\n",
       "      <td>-122.405776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.783859</td>\n",
       "      <td>-122.406350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>Bose</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784539</td>\n",
       "      <td>-122.406081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>Nordstrom</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.783820</td>\n",
       "      <td>-122.407311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Level 4/N1</td>\n",
       "      <td>4</td>\n",
       "      <td>37.783802</td>\n",
       "      <td>-122.405736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>Nordstrom</td>\n",
       "      <td>Level 5/N2</td>\n",
       "      <td>5</td>\n",
       "      <td>37.784076</td>\n",
       "      <td>-122.407307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>Century San Francisco Centre 9</td>\n",
       "      <td>Level 5/N2</td>\n",
       "      <td>5</td>\n",
       "      <td>37.783890</td>\n",
       "      <td>-122.405736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>Burke Williams Day Spa</td>\n",
       "      <td>Level 5/N2</td>\n",
       "      <td>5</td>\n",
       "      <td>37.784204</td>\n",
       "      <td>-122.406574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>Nordstrom</td>\n",
       "      <td>N3</td>\n",
       "      <td>6</td>\n",
       "      <td>37.784090</td>\n",
       "      <td>-122.407309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>Nordstrom</td>\n",
       "      <td>N4</td>\n",
       "      <td>7</td>\n",
       "      <td>37.784073</td>\n",
       "      <td>-122.407289</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>Nordstrom</td>\n",
       "      <td>N5</td>\n",
       "      <td>8</td>\n",
       "      <td>37.784087</td>\n",
       "      <td>-122.407307</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>166 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    Store_Name       Floor_name  Floor_Index  \\\n",
       "0                                  Jamba Juice  Concourse Level            0   \n",
       "1                       Coriander Gourmet Thai  Concourse Level            0   \n",
       "2                               NYS Collection  Concourse Level            0   \n",
       "3                                     Hallmark  Concourse Level            0   \n",
       "4           Sorabol Korean BBQ & Asian Noodles  Concourse Level            0   \n",
       "5                                   Pasta Moto  Concourse Level            0   \n",
       "6                          Abercrombie & Fitch  Concourse Level            0   \n",
       "7                               Fire of Brazil  Concourse Level            0   \n",
       "8                          ProActiv Solutions   Concourse Level            0   \n",
       "9                                     Corner W  Concourse Level            0   \n",
       "10                              Buckhorn Grill  Concourse Level            0   \n",
       "11                                 Cako Bakery  Concourse Level            0   \n",
       "12                           Claire's Boutique  Concourse Level            0   \n",
       "13                               Bristol Farms  Concourse Level            0   \n",
       "14                                      PacSun  Concourse Level            0   \n",
       "15                                   DAVIDsTEA  Concourse Level            0   \n",
       "16                   Andale Mexican Restaurant  Concourse Level            0   \n",
       "17                               Sunglass Hut   Concourse Level            0   \n",
       "18                         Peet's Coffee & Tea  Concourse Level            0   \n",
       "19                               Panda Express  Concourse Level            0   \n",
       "20                                         GNC  Concourse Level            0   \n",
       "21                                     New Era  Concourse Level            0   \n",
       "22                                        LEGO  Concourse Level            0   \n",
       "23                                 Mrs. Fields  Concourse Level            0   \n",
       "24                    Beard Papa's Cream Puffs  Concourse Level            0   \n",
       "25                                Ajisen Ramen  Concourse Level            0   \n",
       "26                                Shoe Palace   Concourse Level            0   \n",
       "27                   Loving Hut Vegan Cuisine   Concourse Level            0   \n",
       "28   Ghirardelli Ice Cream and Chocolate Shop   Concourse Level            0   \n",
       "29                    Marbles: The Brain Store  Concourse Level            0   \n",
       "..                                         ...              ...          ...   \n",
       "136                                       Lids          Level 3            3   \n",
       "137                               iPlay n Talk          Level 3            3   \n",
       "138                         Go! Toys and Games          Level 3            3   \n",
       "139                             Bloomingdale's          Level 3            3   \n",
       "140                                     Fossil          Level 3            3   \n",
       "141                                       Vans          Level 3            3   \n",
       "142                               Eyebrow Plus          Level 3            3   \n",
       "143                        True Religion Jeans          Level 3            3   \n",
       "144                                Finish Line          Level 3            3   \n",
       "145                          Lucky Brand Jeans          Level 3            3   \n",
       "146                          Bath & Body Works          Level 3            3   \n",
       "147                                        H&M          Level 3            3   \n",
       "148                                    Teavana          Level 3            3   \n",
       "149                               Steve Madden          Level 3            3   \n",
       "150                           Forever Flawless          Level 3            3   \n",
       "151                                   Solstice          Level 3            3   \n",
       "152                                    TAP 415       Level 4/N1            4   \n",
       "153                                     Optica       Level 4/N1            4   \n",
       "154                                 M.Y. China       Level 4/N1            4   \n",
       "155                          Bespoke Coworking       Level 4/N1            4   \n",
       "156                             Bespoke Events       Level 4/N1            4   \n",
       "157                                       Bose       Level 4/N1            4   \n",
       "158                                  Nordstrom       Level 4/N1            4   \n",
       "159                             Bloomingdale's       Level 4/N1            4   \n",
       "160                                  Nordstrom       Level 5/N2            5   \n",
       "161             Century San Francisco Centre 9       Level 5/N2            5   \n",
       "162                     Burke Williams Day Spa       Level 5/N2            5   \n",
       "163                                  Nordstrom               N3            6   \n",
       "164                                  Nordstrom               N4            7   \n",
       "165                                  Nordstrom               N5            8   \n",
       "\n",
       "      latitude   longitude  \n",
       "0    37.784091 -122.406813  \n",
       "1    37.784596 -122.406210  \n",
       "2    37.784396 -122.406587  \n",
       "3    37.783771 -122.407377  \n",
       "4    37.784601 -122.406328  \n",
       "5    37.784534 -122.406025  \n",
       "6    37.783944 -122.407537  \n",
       "7    37.784447 -122.406224  \n",
       "8    37.784161 -122.406900  \n",
       "9    37.784808 -122.406501  \n",
       "10   37.784569 -122.406141  \n",
       "11   37.784670 -122.406679  \n",
       "12   37.784126 -122.407061  \n",
       "13   37.784159 -122.406350  \n",
       "14   37.783959 -122.406910  \n",
       "15   37.784411 -122.406709  \n",
       "16   37.784511 -122.405956  \n",
       "17   37.784071 -122.406885  \n",
       "18   37.784591 -122.406782  \n",
       "19   37.783778 -122.407161  \n",
       "20   37.784053 -122.407307  \n",
       "21   37.783893 -122.407389  \n",
       "22   37.784222 -122.406978  \n",
       "23   37.783953 -122.407318  \n",
       "24   37.784505 -122.406555  \n",
       "25   37.783767 -122.407070  \n",
       "26   37.784106 -122.407189  \n",
       "27   37.784292 -122.406010  \n",
       "28   37.784449 -122.406665  \n",
       "29   37.784353 -122.406773  \n",
       "..         ...         ...  \n",
       "136  37.784101 -122.406854  \n",
       "137  37.783871 -122.407073  \n",
       "138  37.784153 -122.405871  \n",
       "139  37.783745 -122.405601  \n",
       "140  37.784191 -122.407111  \n",
       "141  37.784267 -122.405933  \n",
       "142  37.784386 -122.406589  \n",
       "143  37.784540 -122.406132  \n",
       "144  37.783912 -122.407474  \n",
       "145  37.784663 -122.406313  \n",
       "146  37.784135 -122.406406  \n",
       "147  37.783957 -122.406249  \n",
       "148  37.783814 -122.407399  \n",
       "149  37.784197 -122.406980  \n",
       "150  37.784701 -122.406758  \n",
       "151  37.784360 -122.406786  \n",
       "152  37.784420 -122.406832  \n",
       "153  37.784702 -122.406248  \n",
       "154  37.784206 -122.406528  \n",
       "155  37.784178 -122.405776  \n",
       "156  37.783859 -122.406350  \n",
       "157  37.784539 -122.406081  \n",
       "158  37.783820 -122.407311  \n",
       "159  37.783802 -122.405736  \n",
       "160  37.784076 -122.407307  \n",
       "161  37.783890 -122.405736  \n",
       "162  37.784204 -122.406574  \n",
       "163  37.784090 -122.407309  \n",
       "164  37.784073 -122.407289  \n",
       "165  37.784087 -122.407307  \n",
       "\n",
       "[166 rows x 5 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "storemap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns= ['Floor_name', 'Floor_Index']\n",
    "for i in columns:\n",
    "    newmapping = dict(storemap[['Store_Name',i]].values)\n",
    "    store_count[i] = store_count.Store_Name.map(newmapping)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>Shopper_ID</th>\n",
       "      <th>Store_Name</th>\n",
       "      <th>count</th>\n",
       "      <th>Store_Category</th>\n",
       "      <th>Floor_Index</th>\n",
       "      <th>Floor_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>6</td>\n",
       "      <td>Sports Stores</td>\n",
       "      <td>2</td>\n",
       "      <td>Level 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>BOSS</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>1</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>4</td>\n",
       "      <td>Level 4/N1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>56</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>4</td>\n",
       "      <td>Level 4/N1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>8</td>\n",
       "      <td>Casual Restaurants</td>\n",
       "      <td>0</td>\n",
       "      <td>Concourse Level</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Club Monaco Women</td>\n",
       "      <td>2</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>14</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>2</td>\n",
       "      <td>Level 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>H&amp;M</td>\n",
       "      <td>10</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>3</td>\n",
       "      <td>Level 3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>6</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>2</td>\n",
       "      <td>Level 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Janie And Jack</td>\n",
       "      <td>3</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Kate Spade New York</td>\n",
       "      <td>2</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>1</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>4</td>\n",
       "      <td>Level 4/N1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>30</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>0</td>\n",
       "      <td>Concourse Level</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Sarku Japan</td>\n",
       "      <td>1</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>0</td>\n",
       "      <td>Concourse Level</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>18</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>3</td>\n",
       "      <td>Level 3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>15</td>\n",
       "      <td>Apparel and Accessories</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>8</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>4</td>\n",
       "      <td>Level 4/N1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>The Walking Company</td>\n",
       "      <td>3</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>3</td>\n",
       "      <td>Level 3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>Tiffany &amp; Co.</td>\n",
       "      <td>2</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shopper_1</td>\n",
       "      <td>abercrombie kids</td>\n",
       "      <td>2</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>3</td>\n",
       "      <td>Level 3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>4</td>\n",
       "      <td>Sports Stores</td>\n",
       "      <td>2</td>\n",
       "      <td>Level 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Auntie Anne's Pretzels</td>\n",
       "      <td>2</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>2</td>\n",
       "      <td>Level 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>4</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>4</td>\n",
       "      <td>Level 4/N1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>1</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>4</td>\n",
       "      <td>Level 4/N1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Brighton Collectibles</td>\n",
       "      <td>5</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>2</td>\n",
       "      <td>Casual Restaurants</td>\n",
       "      <td>0</td>\n",
       "      <td>Concourse Level</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Camper</td>\n",
       "      <td>2</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>2</td>\n",
       "      <td>Level 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Club Monaco Women</td>\n",
       "      <td>2</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>7</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>2</td>\n",
       "      <td>Level 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Shopper_10</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>2</td>\n",
       "      <td>Level 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8709</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>2</td>\n",
       "      <td>Level 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8710</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Kate Spade New York</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8711</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>1</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>4</td>\n",
       "      <td>Level 4/N1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8712</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>66</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>0</td>\n",
       "      <td>Concourse Level</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8713</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>21</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>3</td>\n",
       "      <td>Level 3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8714</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>49</td>\n",
       "      <td>Apparel and Accessories</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8715</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>1</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>4</td>\n",
       "      <td>Level 4/N1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8716</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>2</td>\n",
       "      <td>Sports Stores</td>\n",
       "      <td>2</td>\n",
       "      <td>Level 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8717</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Adidas</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>2</td>\n",
       "      <td>Level 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8718</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Bath &amp; Body Works</td>\n",
       "      <td>1</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>3</td>\n",
       "      <td>Level 3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8719</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>9</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>4</td>\n",
       "      <td>Level 4/N1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8720</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>5</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>4</td>\n",
       "      <td>Level 4/N1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8721</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Brighton Collectibles</td>\n",
       "      <td>3</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8722</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>6</td>\n",
       "      <td>Casual Restaurants</td>\n",
       "      <td>0</td>\n",
       "      <td>Concourse Level</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8723</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Camper</td>\n",
       "      <td>5</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>2</td>\n",
       "      <td>Level 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8724</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Club Monaco Women</td>\n",
       "      <td>2</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8725</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>25</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>2</td>\n",
       "      <td>Level 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8726</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>H&amp;M</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>3</td>\n",
       "      <td>Level 3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8727</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>9</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>2</td>\n",
       "      <td>Level 2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8728</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Janie And Jack</td>\n",
       "      <td>3</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8729</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Kate Spade New York</td>\n",
       "      <td>3</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8730</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>L'Occitane en Provence</td>\n",
       "      <td>5</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8731</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Lids</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel and Accessories</td>\n",
       "      <td>3</td>\n",
       "      <td>Level 3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8732</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>1</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>4</td>\n",
       "      <td>Level 4/N1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8733</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>51</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>0</td>\n",
       "      <td>Concourse Level</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8734</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>8</td>\n",
       "      <td>Shoe Stores</td>\n",
       "      <td>3</td>\n",
       "      <td>Level 3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8735</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>28</td>\n",
       "      <td>Apparel and Accessories</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8736</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>Swatch</td>\n",
       "      <td>2</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>1</td>\n",
       "      <td>Level 1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8737</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>18</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>4</td>\n",
       "      <td>Level 4/N1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8738</th>\n",
       "      <td>Shopper_99</td>\n",
       "      <td>abercrombie kids</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>3</td>\n",
       "      <td>Level 3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8739 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Shopper_ID              Store_Name  count           Store_Category  \\\n",
       "0      Shopper_1        49ers Team Store      6            Sports Stores   \n",
       "1      Shopper_1                    BOSS      1  Apparel And Accessories   \n",
       "2      Shopper_1          Bespoke Events      1                    Misc.   \n",
       "3      Shopper_1          Bloomingdale's     56        Department Stores   \n",
       "4      Shopper_1           Bristol Farms      8       Casual Restaurants   \n",
       "5      Shopper_1       Club Monaco Women      2  Apparel And Accessories   \n",
       "6      Shopper_1               Cotton On     14  Apparel And Accessories   \n",
       "7      Shopper_1                     H&M     10  Apparel And Accessories   \n",
       "8      Shopper_1                 H&M Man      6  Apparel And Accessories   \n",
       "9      Shopper_1          Janie And Jack      3  Apparel And Accessories   \n",
       "10     Shopper_1     Kate Spade New York      2  Apparel And Accessories   \n",
       "11     Shopper_1              M.Y. China      1          Qsr Restaurants   \n",
       "12     Shopper_1     ProActiv Solutions      30                    Misc.   \n",
       "13     Shopper_1             Sarku Japan      1          Qsr Restaurants   \n",
       "14     Shopper_1            Steve Madden     18              Shoe Stores   \n",
       "15     Shopper_1               Swarovski     15  Apparel and Accessories   \n",
       "16     Shopper_1                 TAP 415      8          Qsr Restaurants   \n",
       "17     Shopper_1     The Walking Company      3              Shoe Stores   \n",
       "18     Shopper_1           Tiffany & Co.      2                    Misc.   \n",
       "19     Shopper_1        abercrombie kids      2  Apparel And Accessories   \n",
       "20    Shopper_10        49ers Team Store      4            Sports Stores   \n",
       "21    Shopper_10  Auntie Anne's Pretzels      2          Qsr Restaurants   \n",
       "22    Shopper_10          Bespoke Events      4                    Misc.   \n",
       "23    Shopper_10          Bloomingdale's      1        Department Stores   \n",
       "24    Shopper_10   Brighton Collectibles      5  Apparel And Accessories   \n",
       "25    Shopper_10           Bristol Farms      2       Casual Restaurants   \n",
       "26    Shopper_10                  Camper      2              Shoe Stores   \n",
       "27    Shopper_10       Club Monaco Women      2  Apparel And Accessories   \n",
       "28    Shopper_10               Cotton On      7  Apparel And Accessories   \n",
       "29    Shopper_10                 H&M Man      1  Apparel And Accessories   \n",
       "...          ...                     ...    ...                      ...   \n",
       "8709  Shopper_98                 H&M Man      1  Apparel And Accessories   \n",
       "8710  Shopper_98     Kate Spade New York      1  Apparel And Accessories   \n",
       "8711  Shopper_98              M.Y. China      1          Qsr Restaurants   \n",
       "8712  Shopper_98     ProActiv Solutions      66                    Misc.   \n",
       "8713  Shopper_98            Steve Madden     21              Shoe Stores   \n",
       "8714  Shopper_98               Swarovski     49  Apparel and Accessories   \n",
       "8715  Shopper_98                 TAP 415      1          Qsr Restaurants   \n",
       "8716  Shopper_99        49ers Team Store      2            Sports Stores   \n",
       "8717  Shopper_99                  Adidas      1  Apparel And Accessories   \n",
       "8718  Shopper_99       Bath & Body Works      1      Furniture And Decor   \n",
       "8719  Shopper_99          Bespoke Events      9                    Misc.   \n",
       "8720  Shopper_99          Bloomingdale's      5        Department Stores   \n",
       "8721  Shopper_99   Brighton Collectibles      3  Apparel And Accessories   \n",
       "8722  Shopper_99           Bristol Farms      6       Casual Restaurants   \n",
       "8723  Shopper_99                  Camper      5              Shoe Stores   \n",
       "8724  Shopper_99       Club Monaco Women      2  Apparel And Accessories   \n",
       "8725  Shopper_99               Cotton On     25  Apparel And Accessories   \n",
       "8726  Shopper_99                     H&M      1  Apparel And Accessories   \n",
       "8727  Shopper_99                 H&M Man      9  Apparel And Accessories   \n",
       "8728  Shopper_99          Janie And Jack      3  Apparel And Accessories   \n",
       "8729  Shopper_99     Kate Spade New York      3  Apparel And Accessories   \n",
       "8730  Shopper_99  L'Occitane en Provence      5      Furniture And Decor   \n",
       "8731  Shopper_99                    Lids      1  Apparel and Accessories   \n",
       "8732  Shopper_99              M.Y. China      1          Qsr Restaurants   \n",
       "8733  Shopper_99     ProActiv Solutions      51                    Misc.   \n",
       "8734  Shopper_99            Steve Madden      8              Shoe Stores   \n",
       "8735  Shopper_99               Swarovski     28  Apparel and Accessories   \n",
       "8736  Shopper_99                  Swatch      2                    Misc.   \n",
       "8737  Shopper_99                 TAP 415     18          Qsr Restaurants   \n",
       "8738  Shopper_99        abercrombie kids      1  Apparel And Accessories   \n",
       "\n",
       "      Floor_Index       Floor_name  \n",
       "0               2          Level 2  \n",
       "1               1          Level 1  \n",
       "2               4       Level 4/N1  \n",
       "3               4       Level 4/N1  \n",
       "4               0  Concourse Level  \n",
       "5               1          Level 1  \n",
       "6               2          Level 2  \n",
       "7               3          Level 3  \n",
       "8               2          Level 2  \n",
       "9               1          Level 1  \n",
       "10              1          Level 1  \n",
       "11              4       Level 4/N1  \n",
       "12              0  Concourse Level  \n",
       "13              0  Concourse Level  \n",
       "14              3          Level 3  \n",
       "15              1          Level 1  \n",
       "16              4       Level 4/N1  \n",
       "17              3          Level 3  \n",
       "18              1          Level 1  \n",
       "19              3          Level 3  \n",
       "20              2          Level 2  \n",
       "21              2          Level 2  \n",
       "22              4       Level 4/N1  \n",
       "23              4       Level 4/N1  \n",
       "24              1          Level 1  \n",
       "25              0  Concourse Level  \n",
       "26              2          Level 2  \n",
       "27              1          Level 1  \n",
       "28              2          Level 2  \n",
       "29              2          Level 2  \n",
       "...           ...              ...  \n",
       "8709            2          Level 2  \n",
       "8710            1          Level 1  \n",
       "8711            4       Level 4/N1  \n",
       "8712            0  Concourse Level  \n",
       "8713            3          Level 3  \n",
       "8714            1          Level 1  \n",
       "8715            4       Level 4/N1  \n",
       "8716            2          Level 2  \n",
       "8717            2          Level 2  \n",
       "8718            3          Level 3  \n",
       "8719            4       Level 4/N1  \n",
       "8720            4       Level 4/N1  \n",
       "8721            1          Level 1  \n",
       "8722            0  Concourse Level  \n",
       "8723            2          Level 2  \n",
       "8724            1          Level 1  \n",
       "8725            2          Level 2  \n",
       "8726            3          Level 3  \n",
       "8727            2          Level 2  \n",
       "8728            1          Level 1  \n",
       "8729            1          Level 1  \n",
       "8730            1          Level 1  \n",
       "8731            3          Level 3  \n",
       "8732            4       Level 4/N1  \n",
       "8733            0  Concourse Level  \n",
       "8734            3          Level 3  \n",
       "8735            1          Level 1  \n",
       "8736            1          Level 1  \n",
       "8737            4       Level 4/N1  \n",
       "8738            3          Level 3  \n",
       "\n",
       "[8739 rows x 6 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "store_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "store_count.to_csv(r\"C:\\Users\\welcome\\Desktop\\EXL OUTPUTS\\new_store_counts.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "counts = pd.read_csv(r\"C:\\Users\\welcome\\Desktop\\EXL OUTPUTS\\store_counts.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Store_Name</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>27629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Swarovski</td>\n",
       "      <td>18719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cotton On</td>\n",
       "      <td>15505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TAP 415</td>\n",
       "      <td>10520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>9611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>8855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>3698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>1467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>1464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>1252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Club Monaco Women</td>\n",
       "      <td>977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>L'Occitane en Provence</td>\n",
       "      <td>792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Camper</td>\n",
       "      <td>688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Janie And Jack</td>\n",
       "      <td>669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Sarku Japan</td>\n",
       "      <td>621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>NYS Collection</td>\n",
       "      <td>504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Kate Spade New York</td>\n",
       "      <td>503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Brighton Collectibles</td>\n",
       "      <td>480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>H&amp;M</td>\n",
       "      <td>479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Marbles: The Brain Store</td>\n",
       "      <td>479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>BOSS</td>\n",
       "      <td>322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Tiffany &amp; Co.</td>\n",
       "      <td>237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>The Walking Company</td>\n",
       "      <td>199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>abercrombie kids</td>\n",
       "      <td>199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Bath &amp; Body Works</td>\n",
       "      <td>131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Auntie Anne's Pretzels</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Jamba Juice</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Swatch</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Lids</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Kay Jewelers</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Vera Bradley</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Adidas</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Sunglass Hut</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Solstice</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Fossil</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Banana Republic</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Loving Hut Vegan Cuisine</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Tumi</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Store_Name  count\n",
       "0         ProActiv Solutions   27629\n",
       "1                   Swarovski  18719\n",
       "2                   Cotton On  15505\n",
       "3                     TAP 415  10520\n",
       "4                Steve Madden   9611\n",
       "5              Bloomingdale's   8855\n",
       "6               Bristol Farms   3698\n",
       "7                     H&M Man   1467\n",
       "8            49ers Team Store   1464\n",
       "9              Bespoke Events   1252\n",
       "10                 M.Y. China    991\n",
       "11          Club Monaco Women    977\n",
       "12     L'Occitane en Provence    792\n",
       "13                     Camper    688\n",
       "14             Janie And Jack    669\n",
       "15                Sarku Japan    621\n",
       "16             NYS Collection    504\n",
       "17        Kate Spade New York    503\n",
       "18      Brighton Collectibles    480\n",
       "19                        H&M    479\n",
       "20   Marbles: The Brain Store    479\n",
       "21                       BOSS    322\n",
       "22              Tiffany & Co.    237\n",
       "23        The Walking Company    199\n",
       "24           abercrombie kids    199\n",
       "25          Bath & Body Works    131\n",
       "26     Auntie Anne's Pretzels    116\n",
       "27                Jamba Juice     98\n",
       "28                     Swatch     92\n",
       "29                       Lids     83\n",
       "30               Kay Jewelers     78\n",
       "31               Vera Bradley     58\n",
       "32                     Adidas     56\n",
       "33               Sunglass Hut     28\n",
       "34                   Solstice     21\n",
       "35                     Fossil      9\n",
       "36            Banana Republic      3\n",
       "37  Loving Hut Vegan Cuisine       1\n",
       "38                       Tumi      1"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Store_Name</th>\n",
       "      <th>count</th>\n",
       "      <th>Store_Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>27629</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Swarovski</td>\n",
       "      <td>18719</td>\n",
       "      <td>Apparel and Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cotton On</td>\n",
       "      <td>15505</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>TAP 415</td>\n",
       "      <td>10520</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>9611</td>\n",
       "      <td>Shoe Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>8855</td>\n",
       "      <td>Department Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>3698</td>\n",
       "      <td>Casual Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>1467</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>1464</td>\n",
       "      <td>Sports Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>1252</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>991</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Club Monaco Women</td>\n",
       "      <td>977</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>L'Occitane en Provence</td>\n",
       "      <td>792</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Camper</td>\n",
       "      <td>688</td>\n",
       "      <td>Shoe Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Janie And Jack</td>\n",
       "      <td>669</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Sarku Japan</td>\n",
       "      <td>621</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>NYS Collection</td>\n",
       "      <td>504</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Kate Spade New York</td>\n",
       "      <td>503</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Brighton Collectibles</td>\n",
       "      <td>480</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>H&amp;M</td>\n",
       "      <td>479</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Marbles: The Brain Store</td>\n",
       "      <td>479</td>\n",
       "      <td>Toy Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>BOSS</td>\n",
       "      <td>322</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Tiffany &amp; Co.</td>\n",
       "      <td>237</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>The Walking Company</td>\n",
       "      <td>199</td>\n",
       "      <td>Shoe Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>abercrombie kids</td>\n",
       "      <td>199</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Bath &amp; Body Works</td>\n",
       "      <td>131</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Auntie Anne's Pretzels</td>\n",
       "      <td>116</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Jamba Juice</td>\n",
       "      <td>98</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Swatch</td>\n",
       "      <td>92</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Lids</td>\n",
       "      <td>83</td>\n",
       "      <td>Apparel and Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Kay Jewelers</td>\n",
       "      <td>78</td>\n",
       "      <td>Misc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Vera Bradley</td>\n",
       "      <td>58</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Adidas</td>\n",
       "      <td>56</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Sunglass Hut</td>\n",
       "      <td>28</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Solstice</td>\n",
       "      <td>21</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Fossil</td>\n",
       "      <td>9</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Banana Republic</td>\n",
       "      <td>3</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Loving Hut Vegan Cuisine</td>\n",
       "      <td>1</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Tumi</td>\n",
       "      <td>1</td>\n",
       "      <td>Apparel and Accessories</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Store_Name  count           Store_Category\n",
       "0         ProActiv Solutions   27629                    Misc.\n",
       "1                   Swarovski  18719  Apparel and Accessories\n",
       "2                   Cotton On  15505  Apparel And Accessories\n",
       "3                     TAP 415  10520          Qsr Restaurants\n",
       "4                Steve Madden   9611              Shoe Stores\n",
       "5              Bloomingdale's   8855        Department Stores\n",
       "6               Bristol Farms   3698       Casual Restaurants\n",
       "7                     H&M Man   1467  Apparel And Accessories\n",
       "8            49ers Team Store   1464            Sports Stores\n",
       "9              Bespoke Events   1252                    Misc.\n",
       "10                 M.Y. China    991          Qsr Restaurants\n",
       "11          Club Monaco Women    977  Apparel And Accessories\n",
       "12     L'Occitane en Provence    792      Furniture And Decor\n",
       "13                     Camper    688              Shoe Stores\n",
       "14             Janie And Jack    669  Apparel And Accessories\n",
       "15                Sarku Japan    621          Qsr Restaurants\n",
       "16             NYS Collection    504  Apparel And Accessories\n",
       "17        Kate Spade New York    503  Apparel And Accessories\n",
       "18      Brighton Collectibles    480  Apparel And Accessories\n",
       "19                        H&M    479  Apparel And Accessories\n",
       "20   Marbles: The Brain Store    479               Toy Stores\n",
       "21                       BOSS    322  Apparel And Accessories\n",
       "22              Tiffany & Co.    237                    Misc.\n",
       "23        The Walking Company    199              Shoe Stores\n",
       "24           abercrombie kids    199  Apparel And Accessories\n",
       "25          Bath & Body Works    131      Furniture And Decor\n",
       "26     Auntie Anne's Pretzels    116          Qsr Restaurants\n",
       "27                Jamba Juice     98          Qsr Restaurants\n",
       "28                     Swatch     92                    Misc.\n",
       "29                       Lids     83  Apparel and Accessories\n",
       "30               Kay Jewelers     78                    Misc.\n",
       "31               Vera Bradley     58  Apparel And Accessories\n",
       "32                     Adidas     56  Apparel And Accessories\n",
       "33               Sunglass Hut     28  Apparel And Accessories\n",
       "34                   Solstice     21  Apparel And Accessories\n",
       "35                     Fossil      9  Apparel And Accessories\n",
       "36            Banana Republic      3  Apparel And Accessories\n",
       "37  Loving Hut Vegan Cuisine       1          Qsr Restaurants\n",
       "38                       Tumi      1  Apparel and Accessories"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counts['Store_Category'] = counts.Store_Name.map(mapping)\n",
    "counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns= ['Floor_name', 'Floor_Index']\n",
    "for i in columns:\n",
    "    newmapping = dict(storemap[['Store_Name',i]].values)\n",
    "    counts[i] = counts.Store_Name.map(newmapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "counts.to_csv(r\"C:\\Users\\welcome\\Desktop\\EXL OUTPUTS\\counts_ki_maka_bhosda.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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