EXL_R2_2.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\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",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
       "  </tbody>\n",
       "</table>\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",
       "\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  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "storemapping = pd.read_excel(File, \"Store Mapping\")\n",
    "storemapping.drop(['Unnamed: 0'], axis=1, inplace=True)\n",
    "storemapping.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Store_Name Broad_Category    Fine_Category\n",
       "0      Amazon Pop-Up         Retail            Misc.\n",
       "1     Bespoke Events         Retail            Misc.\n",
       "2  Bespoke Coworking         Retail  Specialty Store\n",
       "3              Dyson         Retail            Misc.\n",
       "4   Penhaligonï¿½Ûªs         Retail            Misc."
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categorymapping = pd.read_excel(File, \"Category Mapping\")\n",
    "categorymapping.drop(['Unnamed: 0'], axis=1, inplace=True)\n",
    "categorymapping.head()"
   ]
  },
  {
   "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>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>-2934.558251</td>\n",
       "      <td>-16169.722290</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>117.262475</td>\n",
       "      <td>151.823812</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>156.125087</td>\n",
       "      <td>171.357200</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>134.499673</td>\n",
       "      <td>167.674401</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>94.981693</td>\n",
       "      <td>172.269243</td>\n",
       "      <td>2016-10-12T21:36:18.000Z</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Shopper_ID      floor        lat         lng            x             y  \\\n",
       "0  Shopper_556    Floor 4  37.661463 -122.298673 -2934.558251 -16169.722290   \n",
       "1  Shopper_556    Floor 1  37.784062 -122.406943   117.262475    151.823812   \n",
       "2  Shopper_556    Floor 4  37.784361 -122.406710   156.125087    171.357200   \n",
       "3  Shopper_360  Concourse  37.784341 -122.406891   134.499673    167.674401   \n",
       "4  Shopper_360    Floor 2  37.784017 -122.407307    94.981693    172.269243   \n",
       "\n",
       "              seenTimestamp  \n",
       "0  2016-11-22T02:16:06.000Z  \n",
       "1  2016-12-23T22:01:25.000Z  \n",
       "2  2016-11-22T01:42:28.000Z  \n",
       "3  2016-10-13T18:27:38.000Z  \n",
       "4  2016-10-12T21:36:18.000Z  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pinginformation = pd.read_excel(File, \"Ping_Information\")\n",
    "pinginformation.drop(['Unnamed: 0'], axis=1, inplace=True)\n",
    "pinginformation.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 567 entries, 0 to 566\n",
      "Data columns (total 7 columns):\n",
      "Shopper_Id                                  567 non-null object\n",
      "ID                                          567 non-null object\n",
      "Age                                         567 non-null int64\n",
      "Gender                                      567 non-null object\n",
      "Marital_Status                              567 non-null object\n",
      "Owns_Home                                   567 non-null object\n",
      "Number_of_Children_under_18_years_of_age    567 non-null int64\n",
      "dtypes: int64(2), object(5)\n",
      "memory usage: 31.1+ KB\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 166 entries, 0 to 165\n",
      "Data columns (total 5 columns):\n",
      "Store_Name     166 non-null object\n",
      "Floor_name     166 non-null object\n",
      "Floor_Index    166 non-null int64\n",
      "latitude       166 non-null float64\n",
      "longitude      166 non-null float64\n",
      "dtypes: float64(2), int64(1), object(2)\n",
      "memory usage: 6.6+ KB\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 154 entries, 0 to 153\n",
      "Data columns (total 3 columns):\n",
      "Store_Name        154 non-null object\n",
      "Broad_Category    154 non-null object\n",
      "Fine_Category     154 non-null object\n",
      "dtypes: object(3)\n",
      "memory usage: 3.7+ KB\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 107635 entries, 0 to 107634\n",
      "Data columns (total 7 columns):\n",
      "Shopper_ID       107635 non-null object\n",
      "floor            107635 non-null object\n",
      "lat              107635 non-null float64\n",
      "lng              107635 non-null float64\n",
      "x                107635 non-null float64\n",
      "y                107635 non-null float64\n",
      "seenTimestamp    107635 non-null object\n",
      "dtypes: float64(4), object(3)\n",
      "memory usage: 5.7+ MB\n",
      "(None, None, None, None)\n"
     ]
    }
   ],
   "source": [
    "print(demographics.info(), storemapping.info(), categorymapping.info(), pinginformation.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "storemap = storemapping.drop(['Floor_name'], axis=1)\n",
    "pinginfo=pinginformation.drop(['seenTimestamp'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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_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>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>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>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>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>0</td>\n",
       "      <td>37.784601</td>\n",
       "      <td>-122.406328</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Store_Name  Floor_Index   latitude   longitude\n",
       "0                         Jamba Juice            0  37.784091 -122.406813\n",
       "1              Coriander Gourmet Thai            0  37.784596 -122.406210\n",
       "2                      NYS Collection            0  37.784396 -122.406587\n",
       "3                            Hallmark            0  37.783771 -122.407377\n",
       "4  Sorabol Korean BBQ & Asian Noodles            0  37.784601 -122.406328"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "storemap.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>floor</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "      <th>x</th>\n",
       "      <th>y</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>-2934.558251</td>\n",
       "      <td>-16169.722290</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>117.262475</td>\n",
       "      <td>151.823812</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>156.125087</td>\n",
       "      <td>171.357200</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>134.499673</td>\n",
       "      <td>167.674401</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>94.981693</td>\n",
       "      <td>172.269243</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Shopper_ID      floor        lat         lng            x             y\n",
       "0  Shopper_556    Floor 4  37.661463 -122.298673 -2934.558251 -16169.722290\n",
       "1  Shopper_556    Floor 1  37.784062 -122.406943   117.262475    151.823812\n",
       "2  Shopper_556    Floor 4  37.784361 -122.406710   156.125087    171.357200\n",
       "3  Shopper_360  Concourse  37.784341 -122.406891   134.499673    167.674401\n",
       "4  Shopper_360    Floor 2  37.784017 -122.407307    94.981693    172.269243"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pinginfo.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{u'Concourse': 0, u'Floor 1': 1, u'Floor 2': 2, u'Floor 3': 3, u'Floor 4': 4}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "floors= sorted(pinginfo['floor'].unique())\n",
    "floor_mapping= dict(zip(floors, range(0, len(floors) + 1)))\n",
    "floor_mapping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Shopper_ID</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>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661463</td>\n",
       "      <td>-122.298673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784062</td>\n",
       "      <td>-122.406943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784361</td>\n",
       "      <td>-122.406710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784341</td>\n",
       "      <td>-122.406891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784017</td>\n",
       "      <td>-122.407307</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Shopper_ID  Floor_Index   latitude   longitude\n",
       "0  Shopper_556            4  37.661463 -122.298673\n",
       "1  Shopper_556            1  37.784062 -122.406943\n",
       "2  Shopper_556            4  37.784361 -122.406710\n",
       "3  Shopper_360            0  37.784341 -122.406891\n",
       "4  Shopper_360            2  37.784017 -122.407307"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pinginfo['Floor_Index']= pinginfo['floor'].map(floor_mapping).astype(int)\n",
    "pinginfo.drop(['floor'], axis=1, inplace= True)\n",
    "pinginfo['latitude']= pinginfo['lat']\n",
    "pinginfo['longitude']= pinginfo['lng']\n",
    "pinginfo.drop(['lat', 'lng', 'x', 'y'], axis=1, inplace= True)\n",
    "pinginfo.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-1.08827864e+00, -3.44149111e-01, -2.21927721e-01],\n",
       "       [-1.08827864e+00,  1.40158609e+00,  1.04342435e+00],\n",
       "       [-1.08827864e+00,  7.10205813e-01,  2.52317003e-01],\n",
       "       [-1.08827864e+00, -1.45035756e+00, -1.40544110e+00],\n",
       "       [-1.08827864e+00,  1.41887060e+00,  7.95809851e-01],\n",
       "       [-1.08827864e+00,  1.18725820e+00,  1.43163353e+00],\n",
       "       [-1.08827864e+00, -8.52313615e-01, -1.74118958e+00],\n",
       "       [-1.08827864e+00,  8.86507784e-01,  1.01404636e+00],\n",
       "       [-1.08827864e+00, -1.02166013e-01, -4.04490955e-01],\n",
       "       [-1.08827864e+00,  2.13444919e+00,  4.32781810e-01],\n",
       "       [-1.08827864e+00,  1.30824975e+00,  1.18821588e+00],\n",
       "       [-1.08827864e+00,  1.65739679e+00,  5.92616288e-02],\n",
       "       [-1.08827864e+00, -2.23157562e-01, -7.42337861e-01],\n",
       "       [-1.08827864e+00, -1.09079816e-01,  7.49644435e-01],\n",
       "       [-1.08827864e+00, -8.00460094e-01, -4.25475235e-01],\n",
       "       [-1.08827864e+00,  7.62059334e-01, -3.69121068e-03],\n",
       "       [-1.08827864e+00,  1.10774947e+00,  1.57642506e+00],\n",
       "       [-1.08827864e+00, -4.13287138e-01, -3.73014536e-01],\n",
       "       [-1.08827864e+00,  1.38430158e+00, -1.56876453e-01],\n",
       "       [-1.08827864e+00, -1.42615925e+00, -9.52180659e-01],\n",
       "       [-1.08827864e+00, -4.75511363e-01, -1.25855114e+00],\n",
       "       [-1.08827864e+00, -1.02861559e+00, -1.43062224e+00],\n",
       "       [-1.08827864e+00,  1.08704971e-01, -5.68168338e-01],\n",
       "       [-1.08827864e+00, -8.21201502e-01, -1.28163385e+00],\n",
       "       [-1.08827864e+00,  1.08700806e+00,  3.19466699e-01],\n",
       "       [-1.08827864e+00, -1.46418516e+00, -7.61223712e-01],\n",
       "       [-1.08827864e+00, -2.92295590e-01, -1.01093664e+00],\n",
       "       [-1.08827864e+00,  3.50688069e-01,  1.46310995e+00],\n",
       "       [-1.08827864e+00,  8.93421587e-01,  8.86396206e-02],\n",
       "       [-1.08827864e+00,  5.61559053e-01, -1.37990602e-01],\n",
       "       [-1.08827864e+00,  3.57601871e-01,  1.13995204e+00],\n",
       "       [-1.08827864e+00,  4.47481308e-01,  1.07490077e+00],\n",
       "       [-1.08827864e+00, -8.52313615e-01, -9.81558651e-01],\n",
       "       [-1.08827864e+00, -1.24294347e+00, -4.90526503e-01],\n",
       "       [-1.08827864e+00,  4.19826096e-01,  1.85761441e+00],\n",
       "       [-1.08827864e+00, -1.04935699e+00,  1.93945310e+00],\n",
       "       [-1.08827864e+00,  6.03083520e-02, -1.51665779e+00],\n",
       "       [-1.08827864e+00,  1.08700806e+00,  6.46821464e-01],\n",
       "       [-1.08827864e+00,  1.50183623e+00,  6.09049760e-01],\n",
       "       [-1.08827864e+00, -2.33528266e-01, -5.09412354e-01],\n",
       "       [-1.08827864e+00, -2.09329956e-01, -1.39914582e+00],\n",
       "       [-1.08827864e+00, -5.30821786e-01, -4.82132791e-01],\n",
       "       [-1.08827864e+00,  9.21076798e-01, -2.34518289e-01],\n",
       "       [-1.08827864e+00,  7.75886940e-01,  1.80725214e+00],\n",
       "       [-1.08827864e+00, -2.57726576e-01, -8.74538823e-01],\n",
       "       [-1.08827864e+00, -1.15993619e-01,  1.64147633e+00],\n",
       "       [-1.08827864e+00, -3.33778406e-01, -1.92585124e+00],\n",
       "       [-1.08827864e+00, -1.38121953e+00, -5.80758906e-01],\n",
       "       [-4.24108586e-01, -1.38467643e+00, -1.60059491e+00],\n",
       "       [-4.24108586e-01,  1.46726722e+00,  7.87416139e-01],\n",
       "       [-4.24108586e-01, -5.89589109e-01,  1.55753921e+00],\n",
       "       [-4.24108586e-01, -3.99417883e-02, -3.31045976e-01],\n",
       "       [-4.24108586e-01, -1.67847140e-01, -6.98270873e-01],\n",
       "       [-4.24108586e-01,  9.07249192e-01,  5.54490633e-01],\n",
       "       [-4.24108586e-01, -5.44649391e-01, -3.96097243e-01],\n",
       "       [-4.24108586e-01,  2.64265534e-01,  2.69104427e-01],\n",
       "       [-4.24108586e-01,  3.64515674e-01,  3.95010106e-01],\n",
       "       [-4.24108586e-01,  9.45275108e-01,  1.10427876e+00],\n",
       "       [-4.24108586e-01,  1.53686339e-02, -5.30396634e-01],\n",
       "       [-4.24108586e-01,  1.05248070e-01,  1.15919184e-01],\n",
       "       [-4.24108586e-01,  2.02382834e+00,  1.34805036e-01],\n",
       "       [-4.24108586e-01,  1.16305990e+00,  8.62959546e-01],\n",
       "       [-4.24108586e-01, -1.79950460e+00, -1.27114171e+00],\n",
       "       [-4.24108586e-01, -1.58863361e+00, -8.70341967e-01],\n",
       "       [-4.24108586e-01, -7.41692770e-01, -4.17081523e-01],\n",
       "       [-4.24108586e-01,  1.46035341e+00,  5.04128361e-01],\n",
       "       [-4.24108586e-01, -7.27865165e-01, -1.56702006e+00],\n",
       "       [-4.24108586e-01,  1.80950046e+00,  4.85242509e-01],\n",
       "       [-4.24108586e-01, -3.47606012e-01, -2.68093136e-01],\n",
       "       [-4.24108586e-01,  1.08009426e+00, -2.21927721e-01],\n",
       "       [-4.24108586e-01, -2.71554181e-01, -5.07313926e-01],\n",
       "       [-4.24108586e-01,  2.39717369e+00,  4.64258229e-01],\n",
       "       [-4.24108586e-01,  1.44998271e+00, -3.75112964e-01],\n",
       "       [-4.24108586e-01,  9.52188910e-01, -5.32495062e-01],\n",
       "       [-4.24108586e-01,  9.66016516e-01, -1.10711038e-01],\n",
       "       [-4.24108586e-01, -1.59209051e+00, -7.42337861e-01],\n",
       "       [-4.24108586e-01, -9.73305163e-01, -1.43901595e+00],\n",
       "       [-4.24108586e-01, -1.31553840e+00, -1.31940556e+00],\n",
       "       [-4.24108586e-01, -1.12886573e+00, -2.70191564e-01],\n",
       "       [-4.24108586e-01, -8.82967582e-03, -9.47983803e-01],\n",
       "       [-4.24108586e-01, -1.25677108e+00, -6.64696025e-01],\n",
       "       [-4.24108586e-01, -4.96252772e-01, -6.87778733e-01],\n",
       "       [-4.24108586e-01,  7.13662715e-01,  1.17352689e+00],\n",
       "       [-4.24108586e-01, -1.92003800e-02,  6.88790024e-01],\n",
       "       [-4.24108586e-01,  7.10205813e-01, -3.93644864e-02],\n",
       "       [ 2.40061464e-01,  1.34281877e+00,  4.85242509e-01],\n",
       "       [ 2.40061464e-01, -1.54369389e+00, -1.29212599e+00],\n",
       "       [ 2.40061464e-01,  1.12157708e+00,  1.02663693e+00],\n",
       "       [ 2.40061464e-01, -5.75761504e-01, -1.18510616e+00],\n",
       "       [ 2.40061464e-01, -1.78217844e-01, -9.98346074e-01],\n",
       "       [ 2.40061464e-01,  5.20076237e-01, -1.63171737e-01],\n",
       "       [ 2.40061464e-01,  1.27368074e+00,  9.17518674e-01],\n",
       "       [ 2.40061464e-01, -1.88588548e-01,  1.89328769e+00],\n",
       "       [ 2.40061464e-01,  1.77838834e+00,  2.92187135e-01],\n",
       "       [ 2.40061464e-01, -1.67847140e-01, -1.49567351e+00],\n",
       "       [ 2.40061464e-01,  2.64265534e-01,  3.76124254e-01],\n",
       "       [ 2.40061464e-01, -4.99709673e-01, -3.70916108e-01],\n",
       "       [ 2.40061464e-01,  2.12412013e-01, -4.92624931e-01],\n",
       "       [ 2.40061464e-01,  6.79093701e-01, -5.19550543e-02],\n",
       "       [ 2.40061464e-01, -1.56097840e+00, -1.18300774e+00],\n",
       "       [ 2.40061464e-01, -1.54023699e+00, -9.26999523e-01],\n",
       "       [ 2.40061464e-01,  6.72179898e-01,  9.04928106e-01],\n",
       "       [ 2.40061464e-01,  1.53686339e-02, -7.84306420e-01],\n",
       "       [ 2.40061464e-01,  8.38111165e-01,  1.31621999e+00],\n",
       "       [ 2.40061464e-01, -5.51563194e-01,  1.10427876e+00],\n",
       "       [ 2.40061464e-01, -1.17034854e+00,  1.89328769e+00],\n",
       "       [ 2.40061464e-01, -8.97253333e-01,  1.30362942e+00],\n",
       "       [ 2.40061464e-01,  1.01441314e+00,  4.30683382e-01],\n",
       "       [ 2.40061464e-01, -1.61283192e+00, -3.89801959e-01],\n",
       "       [ 2.40061464e-01,  1.25985313e+00, -2.24026149e-01],\n",
       "       [ 2.40061464e-01, -1.23948657e+00, -6.58400741e-01],\n",
       "       [ 2.40061464e-01, -8.17744601e-01, -1.67823674e+00],\n",
       "       [ 2.40061464e-01, -1.92003800e-02,  5.77573341e-01],\n",
       "       [ 2.40061464e-01, -1.12886573e+00, -4.54853227e-01],\n",
       "       [ 2.40061464e-01, -8.45399812e-01, -1.86254445e-01],\n",
       "       [ 2.40061464e-01,  4.33653702e-01,  3.08974559e-01],\n",
       "       [ 2.40061464e-01, -6.41400981e-02, -5.40534823e-02],\n",
       "       [ 2.40061464e-01,  2.78093139e-01,  1.85167308e-01],\n",
       "       [ 2.40061464e-01,  3.29946660e-01,  1.48199580e+00],\n",
       "       [ 9.04231513e-01, -5.13537279e-01, -4.06589383e-01],\n",
       "       [ 9.04231513e-01, -1.94123755e+00, -9.37491663e-01],\n",
       "       [ 9.04231513e-01, -1.55406460e+00, -4.08687811e-01],\n",
       "       [ 9.04231513e-01,  1.51220694e+00,  1.09168820e+00],\n",
       "       [ 9.04231513e-01,  5.51188349e-01,  1.34979484e+00],\n",
       "       [ 9.04231513e-01, -2.95752491e-01,  8.00006707e-01],\n",
       "       [ 9.04231513e-01,  1.46726722e+00, -3.24750692e-01],\n",
       "       [ 9.04231513e-01,  8.20826658e-01,  1.34805036e-01],\n",
       "       [ 9.04231513e-01,  8.86507784e-01, -2.13534009e-01],\n",
       "       [ 9.04231513e-01, -7.07123756e-01, -4.50656371e-01],\n",
       "       [ 9.04231513e-01, -1.21528826e+00, -2.70191564e-01],\n",
       "       [ 9.04231513e-01, -1.30862460e+00,  1.44002724e+00],\n",
       "       [ 9.04231513e-01, -1.98959252e-01, -1.49357508e+00],\n",
       "       [ 9.04231513e-01, -1.51603868e+00, -1.39285054e+00],\n",
       "       [ 9.04231513e-01,  3.43774266e-01,  3.06876131e-01],\n",
       "       [ 9.04231513e-01, -1.56789220e+00, -1.14523603e+00],\n",
       "       [ 9.04231513e-01,  1.70929196e-01,  5.29309497e-01],\n",
       "       [ 9.04231513e-01, -3.09580097e-01, -3.07963268e-01],\n",
       "       [ 9.04231513e-01, -1.10466742e+00, -7.67518996e-01],\n",
       "       [ 9.04231513e-01, -1.29821224e-01,  1.75479144e+00],\n",
       "       [ 9.04231513e-01, -1.54023699e+00,  2.32136699e+00],\n",
       "       [ 9.04231513e-01,  1.54102834e-03, -8.47259260e-01],\n",
       "       [ 9.04231513e-01,  2.64265534e-01,  1.62468890e+00],\n",
       "       [ 9.04231513e-01,  6.75636799e-01,  2.48120147e-01],\n",
       "       [ 9.04231513e-01,  1.20799961e+00,  1.20710174e+00],\n",
       "       [ 9.04231513e-01, -9.62934459e-01, -1.60898862e+00],\n",
       "       [ 9.04231513e-01,  1.63319848e+00,  8.27286270e-01],\n",
       "       [ 9.04231513e-01, -1.92045449e-01,  6.32132468e-01],\n",
       "       [ 9.04231513e-01, -8.07373897e-01,  9.61585661e-01],\n",
       "       [ 9.04231513e-01, -1.30171080e+00, -1.45160652e+00],\n",
       "       [ 9.04231513e-01,  2.22824367e-02, -5.72365194e-01],\n",
       "       [ 9.04231513e-01,  1.76456074e+00, -1.06514182e-01],\n",
       "       [ 9.04231513e-01,  5.85757363e-01, -1.65270165e-01],\n",
       "       [ 1.56840156e+00,  7.93171447e-01, -2.61797853e-01],\n",
       "       [ 1.56840156e+00,  1.76801764e+00,  9.63684089e-01],\n",
       "       [ 1.56840156e+00,  5.33945492e-02,  3.76124254e-01],\n",
       "       [ 1.56840156e+00, -4.33986897e-02,  1.95414210e+00],\n",
       "       [ 1.56840156e+00, -1.14615023e+00,  7.49644435e-01],\n",
       "       [ 1.56840156e+00,  1.20454271e+00,  1.31412156e+00],\n",
       "       [ 1.56840156e+00, -1.28096939e+00, -1.26694486e+00],\n",
       "       [ 1.56840156e+00, -1.34319361e+00,  2.03807922e+00],\n",
       "       [ 2.23257161e+00, -3.96002631e-01, -1.25855114e+00],\n",
       "       [ 2.23257161e+00, -1.03898629e+00,  2.03807922e+00],\n",
       "       [ 2.23257161e+00,  4.64807464e-02,  2.79596567e-01],\n",
       "       [ 2.89674166e+00, -3.47606012e-01, -1.26274800e+00],\n",
       "       [ 3.56091171e+00, -4.06373336e-01, -1.22077944e+00],\n",
       "       [ 4.22508176e+00, -3.57976716e-01, -1.25855114e+00]])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#prediction of stores visited by shoppers:\n",
    "X= storemap.drop(['Store_Name'], axis=1).as_matrix().astype(np.float)\n",
    "from sklearn import preprocessing\n",
    "scaler = preprocessing.StandardScaler()\n",
    "X = scaler.fit_transform(X)\n",
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([u'Jamba Juice', u'Coriander Gourmet Thai', u'NYS Collection',\n",
       "       u'Hallmark', u'Sorabol Korean BBQ & Asian Noodles', u'Pasta Moto',\n",
       "       u'Abercrombie & Fitch', u'Fire of Brazil', u'ProActiv Solutions ',\n",
       "       u'Corner W', u'Buckhorn Grill', u'Cako Bakery',\n",
       "       u\"Claire's Boutique\", u'Bristol Farms', u'PacSun', u'DAVIDsTEA',\n",
       "       u'Andale Mexican Restaurant', u'Sunglass Hut ',\n",
       "       u\"Peet's Coffee & Tea\", u'Panda Express', u'GNC', u'New Era',\n",
       "       u'LEGO', u'Mrs. Fields', u\"Beard Papa's Cream Puffs\",\n",
       "       u'Ajisen Ramen', u'Shoe Palace ', u'Loving Hut Vegan Cuisine ',\n",
       "       u'Ghirardelli Ice Cream and Chocolate Shop ',\n",
       "       u'Marbles: The Brain Store', u'Caffe Central', u'Pressed Juicery',\n",
       "       u'Cafe Bellini', u'Sarku Japan', u'Kichi Grill', u\"Bloomingdale's\",\n",
       "       u'Warriors Team Store', u'Lobster Me',\n",
       "       u'Amoura Cafe Fresh Mediterranean', u\"Wetzel's Pretzels\",\n",
       "       u'Shoe Wiz', u'Haagen Dazs', u'Sur La Table',\n",
       "       u\"Charley's Grilled Subs\", u'Champs Sports',\n",
       "       u'San Francisco Soup Company', u'Starbucks', u'Chipotle', u'Razer',\n",
       "       u'Madewell', u\"Bloomingdale's\", u'Swatch', u\"Kiehl's\",\n",
       "       u'Amazon Pop-Up', u'Janie And Jack', u'The Art of Shaving',\n",
       "       u'RED Valentino', u'Burberry', u'Swarovski',\n",
       "       u'Brighton Collectibles', u'Michael Kors', u'Karen Millen',\n",
       "       u'Aritzia', u'Tumi', u'Kate Spade New York',\n",
       "       u'Penhaligon\\xef\\xbf\\xbd\\xdb\\xaas', u'Abercrombie & Fitch',\n",
       "       u'Tory Burch ', u\"L'Occitane en Provence\", u'Rolex',\n",
       "       u'Sunglass Hut', u'Timberland', u'Tourneau', u'Adidas',\n",
       "       u'Superdry ', u'Origins', u'Club Monaco Men',\n",
       "       u'Currency Exchange International ', u'Club Monaco Women',\n",
       "       u'American Eagle Outfitters', u'Nordstrom E-Bar', u\"Kiehl's\",\n",
       "       u'Tiffany & Co.', u'BOSS', u'Michael Kors Men',\n",
       "       u'lululemon athletica', u'Coach', u'bareMinerals',\n",
       "       u'Forever Flawless ', u'OAK+FORT', u\"Auntie Anne's Pretzels\",\n",
       "       u'Max & Co.', u'Onassis', u'Zara', u'bebe', u'ECCO',\n",
       "       u'Lady Foot Locker', u'Cotton On', u'Pandora', u'The Body Shop',\n",
       "       u'Express', u'T-Mobile', u'Brookstone', u'BCBGMAXAZRIA',\n",
       "       u'H&M Man', u\"Bloomingdale's\", u'49ers Team Store',\n",
       "       u'Studio Manhattan', u\"Francesca's Collection \", u'Adidas',\n",
       "       u'Dyson', u'Hollister Co.', u'Microsoft', u'Samsonite', u'GUESS ',\n",
       "       u'Aveda', u'Camper', u'Yoppi Frozen Yogurt ', u'J.Crew',\n",
       "       u'The Walking Company', u'Express', u'Papyrus',\n",
       "       u'San Francisco Luggage Co.', u'Banana Republic', u'Vera Bradley',\n",
       "       u'Eddie Bauer', u'Godiva Chocolatier', u'SF Sports', u'Aldo',\n",
       "       u'House of Hoops by Foot Locker', u'abercrombie kids',\n",
       "       u\"Victoria's Secret\", u'Perfumania', u'Kay Jewelers',\n",
       "       u'Amiri Salon', u'Clarks', u'Lids', u'iPlay n Talk',\n",
       "       u'Go! Toys and Games', u\"Bloomingdale's\", u'Fossil', u'Vans',\n",
       "       u'Eyebrow Plus', u'True Religion Jeans', u'Finish Line',\n",
       "       u'Lucky Brand Jeans', u'Bath & Body Works', u'H&M', u'Teavana',\n",
       "       u'Steve Madden', u'Forever Flawless', u'Solstice', u'TAP 415',\n",
       "       u'Optica', u'M.Y. China', u'Bespoke Coworking', u'Bespoke Events',\n",
       "       u'Bose', u'Nordstrom', u\"Bloomingdale's\", u'Nordstrom',\n",
       "       u'Century San Francisco Centre 9', u'Burke Williams Day Spa',\n",
       "       u'Nordstrom', u'Nordstrom', u'Nordstrom'], dtype=object)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y = storemap['Store_Name'].as_matrix().astype(np.object)\n",
    "y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\welcome\\Anaconda2\\lib\\site-packages\\sklearn\\cross_validation.py:41: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. Also note that the interface of the new CV iterators are different from that of this module. This module will be removed in 0.20.\n",
      "  \"This module will be removed in 0.20.\", DeprecationWarning)\n"
     ]
    }
   ],
   "source": [
    "#CV:\n",
    "import numpy as np\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from sklearn import cross_validation\n",
    "from sklearn import tree\n",
    "from sklearn import svm\n",
    "from sklearn import ensemble\n",
    "from sklearn import neighbors\n",
    "from sklearn import linear_model\n",
    "from sklearn import metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def stratified_cv(X, y, clf_class, shuffle=True, n_folds=5, **kwargs):\n",
    "    stratified_k_fold = cross_validation.StratifiedKFold(y, n_folds=n_folds, shuffle=shuffle)\n",
    "    y_pred = y.copy()\n",
    "    for ii, jj in stratified_k_fold:\n",
    "        X_train, X_test = X[ii], X[jj]\n",
    "        y_train = y[ii]\n",
    "        clf = clf_class(**kwargs)\n",
    "        clf.fit(X_train,y_train)\n",
    "        y_pred[jj] = clf.predict(X_test)\n",
    "    return y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\welcome\\Anaconda2\\lib\\site-packages\\sklearn\\cross_validation.py:553: Warning: The least populated class in y has only 1 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=5.\n",
      "  % (min_labels, self.n_folds)), Warning)\n",
      "C:\\Users\\welcome\\Anaconda2\\lib\\site-packages\\sklearn\\linear_model\\stochastic_gradient.py:128: FutureWarning: max_iter and tol parameters have been added in <class 'sklearn.linear_model.passive_aggressive.PassiveAggressiveClassifier'> in 0.19. If both are left unset, they default to max_iter=5 and tol=None. If tol is not None, max_iter defaults to max_iter=1000. From 0.21, default max_iter will be 1000, and default tol will be 1e-3.\n",
      "  \"and default tol will be 1e-3.\" % type(self), FutureWarning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Passive Aggressive Classifier: 0.02\n",
      "Gradient Boosting Classifier:  0.05\n",
      "Support vector machine(SVM):   0.06\n",
      "Random Forest Classifier:      0.06\n",
      "K Nearest Neighbor Classifier: 0.06\n",
      "Logistic Regression:           0.07\n"
     ]
    }
   ],
   "source": [
    "print('Passive Aggressive Classifier: {:.2f}'.format(metrics.accuracy_score(y, stratified_cv(X, y, linear_model.PassiveAggressiveClassifier))))\n",
    "print('Gradient Boosting Classifier:  {:.2f}'.format(metrics.accuracy_score(y, stratified_cv(X, y, ensemble.GradientBoostingClassifier))))\n",
    "print('Support vector machine(SVM):   {:.2f}'.format(metrics.accuracy_score(y, stratified_cv(X, y, svm.SVC))))\n",
    "print('Random Forest Classifier:      {:.2f}'.format(metrics.accuracy_score(y, stratified_cv(X, y, ensemble.RandomForestClassifier))))\n",
    "print('K Nearest Neighbor Classifier: {:.2f}'.format(metrics.accuracy_score(y, stratified_cv(X, y, neighbors.KNeighborsClassifier))))\n",
    "print('Logistic Regression:           {:.2f}'.format(metrics.accuracy_score(y, stratified_cv(X, y, linear_model.LogisticRegression))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.83464372,  0.36209925, -0.40275272],\n",
       "       [-0.32798594,  0.42248019, -0.41922354],\n",
       "       [ 1.83464372,  0.42262752, -0.41918799],\n",
       "       ...,\n",
       "       [ 0.39289061, -0.44734271,  0.44825139],\n",
       "       [-0.32798594,  0.42247297, -0.41923214],\n",
       "       [-1.04886249,  0.42248811, -0.4192454 ]])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test = pinginfo.drop(['Shopper_ID'], axis=1).as_matrix().astype(np.float)\n",
    "scaler = preprocessing.StandardScaler()\n",
    "test_data = scaler.fit_transform(X_test)\n",
    "test_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Mean accuracy: 0.421686746988'"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "clf = KNeighborsClassifier(n_neighbors=3, algorithm='auto', leaf_size=30, p=20, metric='minkowski', metric_params=None, n_jobs=5)\n",
    "train_features = X\n",
    "\n",
    "train_target = y\n",
    "\n",
    "# Fit the model to our training data\n",
    "clf = clf.fit(train_features, train_target)\n",
    "score = clf.score(train_features, train_target)\n",
    "\"Mean accuracy: {0}\".format(score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Mean accuracy: 0.993975903614'"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "clf2= RandomForestClassifier(n_estimators=15)\n",
    "\n",
    "train_features = X\n",
    "\n",
    "train_target = y\n",
    "\n",
    "# Fit the model to our training data\n",
    "clf2 = clf2.fit(train_features, train_target)\n",
    "score = clf2.score(train_features, train_target)\n",
    "\"Mean accuracy: {0}\".format(score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "pred_y = clf.predict(test_data)\n",
    "pred_y2= clf2.predict(test_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Shopper_ID</th>\n",
       "      <th>Floor_Index</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>Store_Category_visited</th>\n",
       "      <th>Store_Category_visited2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661463</td>\n",
       "      <td>-122.298673</td>\n",
       "      <td>Burke Williams Day Spa</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784062</td>\n",
       "      <td>-122.406943</td>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784361</td>\n",
       "      <td>-122.406710</td>\n",
       "      <td>Burke Williams Day Spa</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784341</td>\n",
       "      <td>-122.406891</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784017</td>\n",
       "      <td>-122.407307</td>\n",
       "      <td>Auntie Anne's Pretzels</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shopper_420</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661624</td>\n",
       "      <td>-122.298459</td>\n",
       "      <td>Burke Williams Day Spa</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Shopper_420</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783856</td>\n",
       "      <td>-122.407092</td>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Shopper_245</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783970</td>\n",
       "      <td>-122.407194</td>\n",
       "      <td>Auntie Anne's Pretzels</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shopper_334</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783828</td>\n",
       "      <td>-122.406986</td>\n",
       "      <td>Auntie Anne's Pretzels</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shopper_205</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784219</td>\n",
       "      <td>-122.406896</td>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Shopper_205</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784638</td>\n",
       "      <td>-122.406411</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Shopper_530</td>\n",
       "      <td>1</td>\n",
       "      <td>35.085149</td>\n",
       "      <td>-113.663734</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>Club Monaco Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Shopper_530</td>\n",
       "      <td>0</td>\n",
       "      <td>36.541271</td>\n",
       "      <td>-118.435462</td>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>Bristol Farms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shopper_359</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783961</td>\n",
       "      <td>-122.407034</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>35.239976</td>\n",
       "      <td>-114.220990</td>\n",
       "      <td>BOSS</td>\n",
       "      <td>Bristol Farms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784049</td>\n",
       "      <td>-122.407055</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784084</td>\n",
       "      <td>-122.407044</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shopper_481</td>\n",
       "      <td>2</td>\n",
       "      <td>35.265054</td>\n",
       "      <td>-114.246672</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784287</td>\n",
       "      <td>-122.406954</td>\n",
       "      <td>Burke Williams Day Spa</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>1</td>\n",
       "      <td>36.980523</td>\n",
       "      <td>-119.811229</td>\n",
       "      <td>Brighton Collectibles</td>\n",
       "      <td>Brighton Collectibles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>4</td>\n",
       "      <td>37.759561</td>\n",
       "      <td>-122.385293</td>\n",
       "      <td>Burke Williams Day Spa</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Shopper_287</td>\n",
       "      <td>0</td>\n",
       "      <td>37.656648</td>\n",
       "      <td>-122.006913</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Shopper_536</td>\n",
       "      <td>2</td>\n",
       "      <td>34.031987</td>\n",
       "      <td>-110.253652</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>49ers Team Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Shopper_344</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784028</td>\n",
       "      <td>-122.407106</td>\n",
       "      <td>Auntie Anne's Pretzels</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shopper_41</td>\n",
       "      <td>2</td>\n",
       "      <td>33.504061</td>\n",
       "      <td>-108.734063</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Shopper_41</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783814</td>\n",
       "      <td>-122.407127</td>\n",
       "      <td>Fossil</td>\n",
       "      <td>Steve Madden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shopper_122</td>\n",
       "      <td>4</td>\n",
       "      <td>36.066776</td>\n",
       "      <td>-116.842850</td>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>M.Y. China</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shopper_51</td>\n",
       "      <td>0</td>\n",
       "      <td>37.720868</td>\n",
       "      <td>-122.343518</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shopper_51</td>\n",
       "      <td>1</td>\n",
       "      <td>35.265134</td>\n",
       "      <td>-114.246611</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>Kate Spade New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Shopper_68</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783840</td>\n",
       "      <td>-122.407236</td>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Swarovski</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>70</th>\n",
       "      <td>Shopper_180</td>\n",
       "      <td>2</td>\n",
       "      <td>36.468473</td>\n",
       "      <td>-118.174922</td>\n",
       "      <td>Camper</td>\n",
       "      <td>Camper</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Shopper_449</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783913</td>\n",
       "      <td>-122.407134</td>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Shopper_449</td>\n",
       "      <td>4</td>\n",
       "      <td>37.722828</td>\n",
       "      <td>-122.352689</td>\n",
       "      <td>Burke Williams Day Spa</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Shopper_561</td>\n",
       "      <td>1</td>\n",
       "      <td>36.879668</td>\n",
       "      <td>-119.478708</td>\n",
       "      <td>Brighton Collectibles</td>\n",
       "      <td>BOSS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Shopper_475</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783922</td>\n",
       "      <td>-122.407186</td>\n",
       "      <td>Fossil</td>\n",
       "      <td>Steve Madden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Shopper_557</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784189</td>\n",
       "      <td>-122.406847</td>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784015</td>\n",
       "      <td>-122.407044</td>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784161</td>\n",
       "      <td>-122.406898</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Shopper_98</td>\n",
       "      <td>3</td>\n",
       "      <td>37.784055</td>\n",
       "      <td>-122.407036</td>\n",
       "      <td>Fossil</td>\n",
       "      <td>Steve Madden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Shopper_268</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783936</td>\n",
       "      <td>-122.407100</td>\n",
       "      <td>Fossil</td>\n",
       "      <td>Steve Madden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Shopper_268</td>\n",
       "      <td>4</td>\n",
       "      <td>29.082109</td>\n",
       "      <td>-94.277709</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Shopper_550</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784015</td>\n",
       "      <td>-122.407177</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Shopper_550</td>\n",
       "      <td>1</td>\n",
       "      <td>37.714475</td>\n",
       "      <td>-122.182005</td>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Shopper_550</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783980</td>\n",
       "      <td>-122.407110</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Shopper_27</td>\n",
       "      <td>0</td>\n",
       "      <td>37.710393</td>\n",
       "      <td>-122.342140</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Shopper_27</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784047</td>\n",
       "      <td>-122.407153</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Shopper_212</td>\n",
       "      <td>4</td>\n",
       "      <td>28.338228</td>\n",
       "      <td>-91.804871</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Shopper_212</td>\n",
       "      <td>2</td>\n",
       "      <td>33.544888</td>\n",
       "      <td>-108.770188</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Shopper_212</td>\n",
       "      <td>0</td>\n",
       "      <td>34.315595</td>\n",
       "      <td>-111.249673</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Shopper_405</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784146</td>\n",
       "      <td>-122.407033</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Shopper_405</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784104</td>\n",
       "      <td>-122.407331</td>\n",
       "      <td>Auntie Anne's Pretzels</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Shopper_405</td>\n",
       "      <td>4</td>\n",
       "      <td>35.756871</td>\n",
       "      <td>-115.930030</td>\n",
       "      <td>Bespoke Events</td>\n",
       "      <td>M.Y. China</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Shopper_60</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784251</td>\n",
       "      <td>-122.406806</td>\n",
       "      <td>Burke Williams Day Spa</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Shopper_8</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783982</td>\n",
       "      <td>-122.406909</td>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Shopper_8</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783863</td>\n",
       "      <td>-122.407156</td>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Shopper_8</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784020</td>\n",
       "      <td>-122.407079</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Shopper_213</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783982</td>\n",
       "      <td>-122.406909</td>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Shopper_59</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783816</td>\n",
       "      <td>-122.407319</td>\n",
       "      <td>Auntie Anne's Pretzels</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Shopper_35</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783982</td>\n",
       "      <td>-122.406909</td>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Shopper_197</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784137</td>\n",
       "      <td>-122.407002</td>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Shopper_ID  Floor_Index   latitude   longitude  Store_Category_visited  \\\n",
       "0   Shopper_556            4  37.661463 -122.298673  Burke Williams Day Spa   \n",
       "1   Shopper_556            1  37.784062 -122.406943        Michael Kors Men   \n",
       "2   Shopper_556            4  37.784361 -122.406710  Burke Williams Day Spa   \n",
       "3   Shopper_360            0  37.784341 -122.406891               DAVIDsTEA   \n",
       "4   Shopper_360            2  37.784017 -122.407307  Auntie Anne's Pretzels   \n",
       "5   Shopper_420            4  37.661624 -122.298459  Burke Williams Day Spa   \n",
       "6   Shopper_420            1  37.783856 -122.407092        Michael Kors Men   \n",
       "7   Shopper_245            2  37.783970 -122.407194  Auntie Anne's Pretzels   \n",
       "8   Shopper_334            2  37.783828 -122.406986  Auntie Anne's Pretzels   \n",
       "9   Shopper_205            1  37.784219 -122.406896        Michael Kors Men   \n",
       "10  Shopper_205            0  37.784638 -122.406411               DAVIDsTEA   \n",
       "11  Shopper_530            1  35.085149 -113.663734        49ers Team Store   \n",
       "12  Shopper_530            0  36.541271 -118.435462           Bristol Farms   \n",
       "13  Shopper_359            0  37.783961 -122.407034               DAVIDsTEA   \n",
       "14  Shopper_189            0  35.239976 -114.220990                    BOSS   \n",
       "15  Shopper_189            0  37.784049 -122.407055               DAVIDsTEA   \n",
       "16  Shopper_189            0  37.784084 -122.407044               DAVIDsTEA   \n",
       "17  Shopper_481            2  35.265054 -114.246672        49ers Team Store   \n",
       "18  Shopper_155            4  37.784287 -122.406954  Burke Williams Day Spa   \n",
       "19  Shopper_155            1  36.980523 -119.811229   Brighton Collectibles   \n",
       "20  Shopper_155            4  37.759561 -122.385293  Burke Williams Day Spa   \n",
       "21  Shopper_287            0  37.656648 -122.006913               DAVIDsTEA   \n",
       "22  Shopper_536            2  34.031987 -110.253652        49ers Team Store   \n",
       "23  Shopper_344            2  37.784028 -122.407106  Auntie Anne's Pretzels   \n",
       "24   Shopper_41            2  33.504061 -108.734063          Bloomingdale's   \n",
       "25   Shopper_41            3  37.783814 -122.407127                  Fossil   \n",
       "26  Shopper_122            4  36.066776 -116.842850          Bespoke Events   \n",
       "27   Shopper_51            0  37.720868 -122.343518               DAVIDsTEA   \n",
       "28   Shopper_51            1  35.265134 -114.246611        49ers Team Store   \n",
       "29   Shopper_68            1  37.783840 -122.407236        Michael Kors Men   \n",
       "..          ...          ...        ...         ...                     ...   \n",
       "70  Shopper_180            2  36.468473 -118.174922                  Camper   \n",
       "71  Shopper_449            1  37.783913 -122.407134        Michael Kors Men   \n",
       "72  Shopper_449            4  37.722828 -122.352689  Burke Williams Day Spa   \n",
       "73  Shopper_561            1  36.879668 -119.478708   Brighton Collectibles   \n",
       "74  Shopper_475            3  37.783922 -122.407186                  Fossil   \n",
       "75  Shopper_557            1  37.784189 -122.406847        Michael Kors Men   \n",
       "76   Shopper_98            1  37.784015 -122.407044        Michael Kors Men   \n",
       "77   Shopper_98            0  37.784161 -122.406898               DAVIDsTEA   \n",
       "78   Shopper_98            3  37.784055 -122.407036                  Fossil   \n",
       "79  Shopper_268            3  37.783936 -122.407100                  Fossil   \n",
       "80  Shopper_268            4  29.082109  -94.277709          Bloomingdale's   \n",
       "81  Shopper_550            0  37.784015 -122.407177               DAVIDsTEA   \n",
       "82  Shopper_550            1  37.714475 -122.182005        Michael Kors Men   \n",
       "83  Shopper_550            0  37.783980 -122.407110               DAVIDsTEA   \n",
       "84   Shopper_27            0  37.710393 -122.342140               DAVIDsTEA   \n",
       "85   Shopper_27            0  37.784047 -122.407153               DAVIDsTEA   \n",
       "86  Shopper_212            4  28.338228  -91.804871          Bloomingdale's   \n",
       "87  Shopper_212            2  33.544888 -108.770188          Bloomingdale's   \n",
       "88  Shopper_212            0  34.315595 -111.249673          Bloomingdale's   \n",
       "89  Shopper_405            0  37.784146 -122.407033               DAVIDsTEA   \n",
       "90  Shopper_405            2  37.784104 -122.407331  Auntie Anne's Pretzels   \n",
       "91  Shopper_405            4  35.756871 -115.930030          Bespoke Events   \n",
       "92   Shopper_60            4  37.784251 -122.406806  Burke Williams Day Spa   \n",
       "93    Shopper_8            1  37.783982 -122.406909        Michael Kors Men   \n",
       "94    Shopper_8            1  37.783863 -122.407156        Michael Kors Men   \n",
       "95    Shopper_8            0  37.784020 -122.407079               DAVIDsTEA   \n",
       "96  Shopper_213            1  37.783982 -122.406909        Michael Kors Men   \n",
       "97   Shopper_59            2  37.783816 -122.407319  Auntie Anne's Pretzels   \n",
       "98   Shopper_35            1  37.783982 -122.406909        Michael Kors Men   \n",
       "99  Shopper_197            1  37.784137 -122.407002        Michael Kors Men   \n",
       "\n",
       "   Store_Category_visited2  \n",
       "0                  TAP 415  \n",
       "1                Swarovski  \n",
       "2                  TAP 415  \n",
       "3      ProActiv Solutions   \n",
       "4                Cotton On  \n",
       "5                  TAP 415  \n",
       "6                Swarovski  \n",
       "7                Cotton On  \n",
       "8                Cotton On  \n",
       "9                Swarovski  \n",
       "10     ProActiv Solutions   \n",
       "11       Club Monaco Women  \n",
       "12           Bristol Farms  \n",
       "13     ProActiv Solutions   \n",
       "14           Bristol Farms  \n",
       "15     ProActiv Solutions   \n",
       "16     ProActiv Solutions   \n",
       "17                 H&M Man  \n",
       "18                 TAP 415  \n",
       "19   Brighton Collectibles  \n",
       "20                 TAP 415  \n",
       "21     ProActiv Solutions   \n",
       "22        49ers Team Store  \n",
       "23               Cotton On  \n",
       "24          Bloomingdale's  \n",
       "25            Steve Madden  \n",
       "26              M.Y. China  \n",
       "27     ProActiv Solutions   \n",
       "28     Kate Spade New York  \n",
       "29               Swarovski  \n",
       "..                     ...  \n",
       "70                  Camper  \n",
       "71               Swarovski  \n",
       "72                 TAP 415  \n",
       "73                    BOSS  \n",
       "74            Steve Madden  \n",
       "75               Swarovski  \n",
       "76               Swarovski  \n",
       "77     ProActiv Solutions   \n",
       "78            Steve Madden  \n",
       "79            Steve Madden  \n",
       "80          Bloomingdale's  \n",
       "81     ProActiv Solutions   \n",
       "82               Swarovski  \n",
       "83     ProActiv Solutions   \n",
       "84     ProActiv Solutions   \n",
       "85     ProActiv Solutions   \n",
       "86          Bloomingdale's  \n",
       "87          Bloomingdale's  \n",
       "88          Bloomingdale's  \n",
       "89     ProActiv Solutions   \n",
       "90               Cotton On  \n",
       "91              M.Y. China  \n",
       "92                 TAP 415  \n",
       "93               Swarovski  \n",
       "94               Swarovski  \n",
       "95     ProActiv Solutions   \n",
       "96               Swarovski  \n",
       "97               Cotton On  \n",
       "98               Swarovski  \n",
       "99               Swarovski  \n",
       "\n",
       "[100 rows x 6 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pinginfo['Store_Category_visited'] = pred_y\n",
    "pinginfo['Store_Category_visited2'] = pred_y2\n",
    "pinginfo.head(100)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Shopper_ID</th>\n",
       "      <th>Floor_Index</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>Store_Category_visited2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661463</td>\n",
       "      <td>-122.298673</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784062</td>\n",
       "      <td>-122.406943</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784361</td>\n",
       "      <td>-122.406710</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784341</td>\n",
       "      <td>-122.406891</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784017</td>\n",
       "      <td>-122.407307</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shopper_420</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661624</td>\n",
       "      <td>-122.298459</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Shopper_420</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783856</td>\n",
       "      <td>-122.407092</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Shopper_245</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783970</td>\n",
       "      <td>-122.407194</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shopper_334</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783828</td>\n",
       "      <td>-122.406986</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shopper_205</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784219</td>\n",
       "      <td>-122.406896</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Shopper_205</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784638</td>\n",
       "      <td>-122.406411</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Shopper_530</td>\n",
       "      <td>1</td>\n",
       "      <td>35.085149</td>\n",
       "      <td>-113.663734</td>\n",
       "      <td>Club Monaco Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Shopper_530</td>\n",
       "      <td>0</td>\n",
       "      <td>36.541271</td>\n",
       "      <td>-118.435462</td>\n",
       "      <td>Bristol Farms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shopper_359</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783961</td>\n",
       "      <td>-122.407034</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>35.239976</td>\n",
       "      <td>-114.220990</td>\n",
       "      <td>Bristol Farms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784049</td>\n",
       "      <td>-122.407055</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784084</td>\n",
       "      <td>-122.407044</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shopper_481</td>\n",
       "      <td>2</td>\n",
       "      <td>35.265054</td>\n",
       "      <td>-114.246672</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784287</td>\n",
       "      <td>-122.406954</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>1</td>\n",
       "      <td>36.980523</td>\n",
       "      <td>-119.811229</td>\n",
       "      <td>Brighton Collectibles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>4</td>\n",
       "      <td>37.759561</td>\n",
       "      <td>-122.385293</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Shopper_287</td>\n",
       "      <td>0</td>\n",
       "      <td>37.656648</td>\n",
       "      <td>-122.006913</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Shopper_536</td>\n",
       "      <td>2</td>\n",
       "      <td>34.031987</td>\n",
       "      <td>-110.253652</td>\n",
       "      <td>49ers Team Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Shopper_344</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784028</td>\n",
       "      <td>-122.407106</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shopper_41</td>\n",
       "      <td>2</td>\n",
       "      <td>33.504061</td>\n",
       "      <td>-108.734063</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Shopper_41</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783814</td>\n",
       "      <td>-122.407127</td>\n",
       "      <td>Steve Madden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shopper_122</td>\n",
       "      <td>4</td>\n",
       "      <td>36.066776</td>\n",
       "      <td>-116.842850</td>\n",
       "      <td>M.Y. China</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shopper_51</td>\n",
       "      <td>0</td>\n",
       "      <td>37.720868</td>\n",
       "      <td>-122.343518</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shopper_51</td>\n",
       "      <td>1</td>\n",
       "      <td>35.265134</td>\n",
       "      <td>-114.246611</td>\n",
       "      <td>Kate Spade New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Shopper_68</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783840</td>\n",
       "      <td>-122.407236</td>\n",
       "      <td>Swarovski</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>107605</th>\n",
       "      <td>Shopper_454</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783982</td>\n",
       "      <td>-122.406909</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107606</th>\n",
       "      <td>Shopper_278</td>\n",
       "      <td>3</td>\n",
       "      <td>30.227258</td>\n",
       "      <td>-97.925617</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107607</th>\n",
       "      <td>Shopper_318</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784039</td>\n",
       "      <td>-122.406977</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107608</th>\n",
       "      <td>Shopper_440</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784117</td>\n",
       "      <td>-122.407263</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107609</th>\n",
       "      <td>Shopper_363</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784069</td>\n",
       "      <td>-122.407386</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107610</th>\n",
       "      <td>Shopper_339</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783989</td>\n",
       "      <td>-122.407159</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107611</th>\n",
       "      <td>Shopper_47</td>\n",
       "      <td>0</td>\n",
       "      <td>31.487016</td>\n",
       "      <td>-102.005697</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107612</th>\n",
       "      <td>Shopper_320</td>\n",
       "      <td>2</td>\n",
       "      <td>37.781113</td>\n",
       "      <td>-122.404167</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107613</th>\n",
       "      <td>Shopper_4</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784046</td>\n",
       "      <td>-122.407011</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107614</th>\n",
       "      <td>Shopper_398</td>\n",
       "      <td>2</td>\n",
       "      <td>33.061211</td>\n",
       "      <td>-107.106029</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107615</th>\n",
       "      <td>Shopper_154</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784085</td>\n",
       "      <td>-122.406878</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107616</th>\n",
       "      <td>Shopper_459</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784052</td>\n",
       "      <td>-122.407107</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107617</th>\n",
       "      <td>Shopper_459</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784471</td>\n",
       "      <td>-122.406800</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107618</th>\n",
       "      <td>Shopper_419</td>\n",
       "      <td>2</td>\n",
       "      <td>37.743028</td>\n",
       "      <td>-122.371079</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107619</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>3</td>\n",
       "      <td>34.320329</td>\n",
       "      <td>-111.206542</td>\n",
       "      <td>abercrombie kids</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107620</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784294</td>\n",
       "      <td>-122.406786</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107621</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>2</td>\n",
       "      <td>34.315878</td>\n",
       "      <td>-111.249350</td>\n",
       "      <td>49ers Team Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107622</th>\n",
       "      <td>Shopper_468</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783898</td>\n",
       "      <td>-122.407144</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107623</th>\n",
       "      <td>Shopper_244</td>\n",
       "      <td>3</td>\n",
       "      <td>37.781999</td>\n",
       "      <td>-122.405348</td>\n",
       "      <td>Steve Madden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107624</th>\n",
       "      <td>Shopper_373</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783965</td>\n",
       "      <td>-122.407176</td>\n",
       "      <td>Steve Madden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107625</th>\n",
       "      <td>Shopper_376</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784045</td>\n",
       "      <td>-122.407060</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107626</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>0</td>\n",
       "      <td>35.219027</td>\n",
       "      <td>-114.115492</td>\n",
       "      <td>Bristol Farms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107627</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784057</td>\n",
       "      <td>-122.407213</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107628</th>\n",
       "      <td>Shopper_28</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783934</td>\n",
       "      <td>-122.407144</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107629</th>\n",
       "      <td>Shopper_76</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783984</td>\n",
       "      <td>-122.407237</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107630</th>\n",
       "      <td>Shopper_317</td>\n",
       "      <td>4</td>\n",
       "      <td>28.338261</td>\n",
       "      <td>-91.805123</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107631</th>\n",
       "      <td>Shopper_295</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784115</td>\n",
       "      <td>-122.406981</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107632</th>\n",
       "      <td>Shopper_460</td>\n",
       "      <td>2</td>\n",
       "      <td>36.017950</td>\n",
       "      <td>-116.704627</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107633</th>\n",
       "      <td>Shopper_190</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784047</td>\n",
       "      <td>-122.407000</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107634</th>\n",
       "      <td>Shopper_53</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784078</td>\n",
       "      <td>-122.407087</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>107635 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Shopper_ID  Floor_Index   latitude   longitude  \\\n",
       "0       Shopper_556            4  37.661463 -122.298673   \n",
       "1       Shopper_556            1  37.784062 -122.406943   \n",
       "2       Shopper_556            4  37.784361 -122.406710   \n",
       "3       Shopper_360            0  37.784341 -122.406891   \n",
       "4       Shopper_360            2  37.784017 -122.407307   \n",
       "5       Shopper_420            4  37.661624 -122.298459   \n",
       "6       Shopper_420            1  37.783856 -122.407092   \n",
       "7       Shopper_245            2  37.783970 -122.407194   \n",
       "8       Shopper_334            2  37.783828 -122.406986   \n",
       "9       Shopper_205            1  37.784219 -122.406896   \n",
       "10      Shopper_205            0  37.784638 -122.406411   \n",
       "11      Shopper_530            1  35.085149 -113.663734   \n",
       "12      Shopper_530            0  36.541271 -118.435462   \n",
       "13      Shopper_359            0  37.783961 -122.407034   \n",
       "14      Shopper_189            0  35.239976 -114.220990   \n",
       "15      Shopper_189            0  37.784049 -122.407055   \n",
       "16      Shopper_189            0  37.784084 -122.407044   \n",
       "17      Shopper_481            2  35.265054 -114.246672   \n",
       "18      Shopper_155            4  37.784287 -122.406954   \n",
       "19      Shopper_155            1  36.980523 -119.811229   \n",
       "20      Shopper_155            4  37.759561 -122.385293   \n",
       "21      Shopper_287            0  37.656648 -122.006913   \n",
       "22      Shopper_536            2  34.031987 -110.253652   \n",
       "23      Shopper_344            2  37.784028 -122.407106   \n",
       "24       Shopper_41            2  33.504061 -108.734063   \n",
       "25       Shopper_41            3  37.783814 -122.407127   \n",
       "26      Shopper_122            4  36.066776 -116.842850   \n",
       "27       Shopper_51            0  37.720868 -122.343518   \n",
       "28       Shopper_51            1  35.265134 -114.246611   \n",
       "29       Shopper_68            1  37.783840 -122.407236   \n",
       "...             ...          ...        ...         ...   \n",
       "107605  Shopper_454            1  37.783982 -122.406909   \n",
       "107606  Shopper_278            3  30.227258  -97.925617   \n",
       "107607  Shopper_318            2  37.784039 -122.406977   \n",
       "107608  Shopper_440            0  37.784117 -122.407263   \n",
       "107609  Shopper_363            0  37.784069 -122.407386   \n",
       "107610  Shopper_339            0  37.783989 -122.407159   \n",
       "107611   Shopper_47            0  31.487016 -102.005697   \n",
       "107612  Shopper_320            2  37.781113 -122.404167   \n",
       "107613    Shopper_4            2  37.784046 -122.407011   \n",
       "107614  Shopper_398            2  33.061211 -107.106029   \n",
       "107615  Shopper_154            1  37.784085 -122.406878   \n",
       "107616  Shopper_459            0  37.784052 -122.407107   \n",
       "107617  Shopper_459            0  37.784471 -122.406800   \n",
       "107618  Shopper_419            2  37.743028 -122.371079   \n",
       "107619  Shopper_319            3  34.320329 -111.206542   \n",
       "107620  Shopper_319            0  37.784294 -122.406786   \n",
       "107621  Shopper_319            2  34.315878 -111.249350   \n",
       "107622  Shopper_468            2  37.783898 -122.407144   \n",
       "107623  Shopper_244            3  37.781999 -122.405348   \n",
       "107624  Shopper_373            3  37.783965 -122.407176   \n",
       "107625  Shopper_376            1  37.784045 -122.407060   \n",
       "107626  Shopper_100            0  35.219027 -114.115492   \n",
       "107627  Shopper_100            0  37.784057 -122.407213   \n",
       "107628   Shopper_28            2  37.783934 -122.407144   \n",
       "107629   Shopper_76            1  37.783984 -122.407237   \n",
       "107630  Shopper_317            4  28.338261  -91.805123   \n",
       "107631  Shopper_295            4  37.784115 -122.406981   \n",
       "107632  Shopper_460            2  36.017950 -116.704627   \n",
       "107633  Shopper_190            1  37.784047 -122.407000   \n",
       "107634   Shopper_53            0  37.784078 -122.407087   \n",
       "\n",
       "       Store_Category_visited2  \n",
       "0                      TAP 415  \n",
       "1                    Swarovski  \n",
       "2                      TAP 415  \n",
       "3          ProActiv Solutions   \n",
       "4                    Cotton On  \n",
       "5                      TAP 415  \n",
       "6                    Swarovski  \n",
       "7                    Cotton On  \n",
       "8                    Cotton On  \n",
       "9                    Swarovski  \n",
       "10         ProActiv Solutions   \n",
       "11           Club Monaco Women  \n",
       "12               Bristol Farms  \n",
       "13         ProActiv Solutions   \n",
       "14               Bristol Farms  \n",
       "15         ProActiv Solutions   \n",
       "16         ProActiv Solutions   \n",
       "17                     H&M Man  \n",
       "18                     TAP 415  \n",
       "19       Brighton Collectibles  \n",
       "20                     TAP 415  \n",
       "21         ProActiv Solutions   \n",
       "22            49ers Team Store  \n",
       "23                   Cotton On  \n",
       "24              Bloomingdale's  \n",
       "25                Steve Madden  \n",
       "26                  M.Y. China  \n",
       "27         ProActiv Solutions   \n",
       "28         Kate Spade New York  \n",
       "29                   Swarovski  \n",
       "...                        ...  \n",
       "107605               Swarovski  \n",
       "107606          Bloomingdale's  \n",
       "107607               Cotton On  \n",
       "107608     ProActiv Solutions   \n",
       "107609     ProActiv Solutions   \n",
       "107610     ProActiv Solutions   \n",
       "107611          Bloomingdale's  \n",
       "107612               Cotton On  \n",
       "107613               Cotton On  \n",
       "107614          Bloomingdale's  \n",
       "107615               Swarovski  \n",
       "107616     ProActiv Solutions   \n",
       "107617     ProActiv Solutions   \n",
       "107618               Cotton On  \n",
       "107619        abercrombie kids  \n",
       "107620     ProActiv Solutions   \n",
       "107621        49ers Team Store  \n",
       "107622               Cotton On  \n",
       "107623            Steve Madden  \n",
       "107624            Steve Madden  \n",
       "107625               Swarovski  \n",
       "107626           Bristol Farms  \n",
       "107627     ProActiv Solutions   \n",
       "107628               Cotton On  \n",
       "107629               Swarovski  \n",
       "107630          Bloomingdale's  \n",
       "107631                 TAP 415  \n",
       "107632                 H&M Man  \n",
       "107633               Swarovski  \n",
       "107634     ProActiv Solutions   \n",
       "\n",
       "[107635 rows x 5 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visiting_infodf = pinginfo.drop(['Store_Category_visited'], axis=1)\n",
    "visiting_infodf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</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>Floor_Index</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>Store_Name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661463</td>\n",
       "      <td>-122.298673</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784062</td>\n",
       "      <td>-122.406943</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784361</td>\n",
       "      <td>-122.406710</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784341</td>\n",
       "      <td>-122.406891</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784017</td>\n",
       "      <td>-122.407307</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shopper_420</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661624</td>\n",
       "      <td>-122.298459</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Shopper_420</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783856</td>\n",
       "      <td>-122.407092</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Shopper_245</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783970</td>\n",
       "      <td>-122.407194</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shopper_334</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783828</td>\n",
       "      <td>-122.406986</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shopper_205</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784219</td>\n",
       "      <td>-122.406896</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Shopper_205</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784638</td>\n",
       "      <td>-122.406411</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Shopper_530</td>\n",
       "      <td>1</td>\n",
       "      <td>35.085149</td>\n",
       "      <td>-113.663734</td>\n",
       "      <td>Club Monaco Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Shopper_530</td>\n",
       "      <td>0</td>\n",
       "      <td>36.541271</td>\n",
       "      <td>-118.435462</td>\n",
       "      <td>Bristol Farms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shopper_359</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783961</td>\n",
       "      <td>-122.407034</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>35.239976</td>\n",
       "      <td>-114.220990</td>\n",
       "      <td>Bristol Farms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784049</td>\n",
       "      <td>-122.407055</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784084</td>\n",
       "      <td>-122.407044</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shopper_481</td>\n",
       "      <td>2</td>\n",
       "      <td>35.265054</td>\n",
       "      <td>-114.246672</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784287</td>\n",
       "      <td>-122.406954</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>1</td>\n",
       "      <td>36.980523</td>\n",
       "      <td>-119.811229</td>\n",
       "      <td>Brighton Collectibles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>4</td>\n",
       "      <td>37.759561</td>\n",
       "      <td>-122.385293</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Shopper_287</td>\n",
       "      <td>0</td>\n",
       "      <td>37.656648</td>\n",
       "      <td>-122.006913</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Shopper_536</td>\n",
       "      <td>2</td>\n",
       "      <td>34.031987</td>\n",
       "      <td>-110.253652</td>\n",
       "      <td>49ers Team Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Shopper_344</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784028</td>\n",
       "      <td>-122.407106</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shopper_41</td>\n",
       "      <td>2</td>\n",
       "      <td>33.504061</td>\n",
       "      <td>-108.734063</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Shopper_41</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783814</td>\n",
       "      <td>-122.407127</td>\n",
       "      <td>Steve Madden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shopper_122</td>\n",
       "      <td>4</td>\n",
       "      <td>36.066776</td>\n",
       "      <td>-116.842850</td>\n",
       "      <td>M.Y. China</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shopper_51</td>\n",
       "      <td>0</td>\n",
       "      <td>37.720868</td>\n",
       "      <td>-122.343518</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shopper_51</td>\n",
       "      <td>1</td>\n",
       "      <td>35.265134</td>\n",
       "      <td>-114.246611</td>\n",
       "      <td>Kate Spade New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Shopper_68</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783840</td>\n",
       "      <td>-122.407236</td>\n",
       "      <td>Swarovski</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>107605</th>\n",
       "      <td>Shopper_454</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783982</td>\n",
       "      <td>-122.406909</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107606</th>\n",
       "      <td>Shopper_278</td>\n",
       "      <td>3</td>\n",
       "      <td>30.227258</td>\n",
       "      <td>-97.925617</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107607</th>\n",
       "      <td>Shopper_318</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784039</td>\n",
       "      <td>-122.406977</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107608</th>\n",
       "      <td>Shopper_440</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784117</td>\n",
       "      <td>-122.407263</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107609</th>\n",
       "      <td>Shopper_363</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784069</td>\n",
       "      <td>-122.407386</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107610</th>\n",
       "      <td>Shopper_339</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783989</td>\n",
       "      <td>-122.407159</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107611</th>\n",
       "      <td>Shopper_47</td>\n",
       "      <td>0</td>\n",
       "      <td>31.487016</td>\n",
       "      <td>-102.005697</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107612</th>\n",
       "      <td>Shopper_320</td>\n",
       "      <td>2</td>\n",
       "      <td>37.781113</td>\n",
       "      <td>-122.404167</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107613</th>\n",
       "      <td>Shopper_4</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784046</td>\n",
       "      <td>-122.407011</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107614</th>\n",
       "      <td>Shopper_398</td>\n",
       "      <td>2</td>\n",
       "      <td>33.061211</td>\n",
       "      <td>-107.106029</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107615</th>\n",
       "      <td>Shopper_154</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784085</td>\n",
       "      <td>-122.406878</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107616</th>\n",
       "      <td>Shopper_459</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784052</td>\n",
       "      <td>-122.407107</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107617</th>\n",
       "      <td>Shopper_459</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784471</td>\n",
       "      <td>-122.406800</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107618</th>\n",
       "      <td>Shopper_419</td>\n",
       "      <td>2</td>\n",
       "      <td>37.743028</td>\n",
       "      <td>-122.371079</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107619</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>3</td>\n",
       "      <td>34.320329</td>\n",
       "      <td>-111.206542</td>\n",
       "      <td>abercrombie kids</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107620</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784294</td>\n",
       "      <td>-122.406786</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107621</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>2</td>\n",
       "      <td>34.315878</td>\n",
       "      <td>-111.249350</td>\n",
       "      <td>49ers Team Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107622</th>\n",
       "      <td>Shopper_468</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783898</td>\n",
       "      <td>-122.407144</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107623</th>\n",
       "      <td>Shopper_244</td>\n",
       "      <td>3</td>\n",
       "      <td>37.781999</td>\n",
       "      <td>-122.405348</td>\n",
       "      <td>Steve Madden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107624</th>\n",
       "      <td>Shopper_373</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783965</td>\n",
       "      <td>-122.407176</td>\n",
       "      <td>Steve Madden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107625</th>\n",
       "      <td>Shopper_376</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784045</td>\n",
       "      <td>-122.407060</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107626</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>0</td>\n",
       "      <td>35.219027</td>\n",
       "      <td>-114.115492</td>\n",
       "      <td>Bristol Farms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107627</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784057</td>\n",
       "      <td>-122.407213</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107628</th>\n",
       "      <td>Shopper_28</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783934</td>\n",
       "      <td>-122.407144</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107629</th>\n",
       "      <td>Shopper_76</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783984</td>\n",
       "      <td>-122.407237</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107630</th>\n",
       "      <td>Shopper_317</td>\n",
       "      <td>4</td>\n",
       "      <td>28.338261</td>\n",
       "      <td>-91.805123</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107631</th>\n",
       "      <td>Shopper_295</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784115</td>\n",
       "      <td>-122.406981</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107632</th>\n",
       "      <td>Shopper_460</td>\n",
       "      <td>2</td>\n",
       "      <td>36.017950</td>\n",
       "      <td>-116.704627</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107633</th>\n",
       "      <td>Shopper_190</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784047</td>\n",
       "      <td>-122.407000</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107634</th>\n",
       "      <td>Shopper_53</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784078</td>\n",
       "      <td>-122.407087</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>107635 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Shopper_ID  Floor_Index   latitude   longitude             Store_Name\n",
       "0       Shopper_556            4  37.661463 -122.298673                TAP 415\n",
       "1       Shopper_556            1  37.784062 -122.406943              Swarovski\n",
       "2       Shopper_556            4  37.784361 -122.406710                TAP 415\n",
       "3       Shopper_360            0  37.784341 -122.406891    ProActiv Solutions \n",
       "4       Shopper_360            2  37.784017 -122.407307              Cotton On\n",
       "5       Shopper_420            4  37.661624 -122.298459                TAP 415\n",
       "6       Shopper_420            1  37.783856 -122.407092              Swarovski\n",
       "7       Shopper_245            2  37.783970 -122.407194              Cotton On\n",
       "8       Shopper_334            2  37.783828 -122.406986              Cotton On\n",
       "9       Shopper_205            1  37.784219 -122.406896              Swarovski\n",
       "10      Shopper_205            0  37.784638 -122.406411    ProActiv Solutions \n",
       "11      Shopper_530            1  35.085149 -113.663734      Club Monaco Women\n",
       "12      Shopper_530            0  36.541271 -118.435462          Bristol Farms\n",
       "13      Shopper_359            0  37.783961 -122.407034    ProActiv Solutions \n",
       "14      Shopper_189            0  35.239976 -114.220990          Bristol Farms\n",
       "15      Shopper_189            0  37.784049 -122.407055    ProActiv Solutions \n",
       "16      Shopper_189            0  37.784084 -122.407044    ProActiv Solutions \n",
       "17      Shopper_481            2  35.265054 -114.246672                H&M Man\n",
       "18      Shopper_155            4  37.784287 -122.406954                TAP 415\n",
       "19      Shopper_155            1  36.980523 -119.811229  Brighton Collectibles\n",
       "20      Shopper_155            4  37.759561 -122.385293                TAP 415\n",
       "21      Shopper_287            0  37.656648 -122.006913    ProActiv Solutions \n",
       "22      Shopper_536            2  34.031987 -110.253652       49ers Team Store\n",
       "23      Shopper_344            2  37.784028 -122.407106              Cotton On\n",
       "24       Shopper_41            2  33.504061 -108.734063         Bloomingdale's\n",
       "25       Shopper_41            3  37.783814 -122.407127           Steve Madden\n",
       "26      Shopper_122            4  36.066776 -116.842850             M.Y. China\n",
       "27       Shopper_51            0  37.720868 -122.343518    ProActiv Solutions \n",
       "28       Shopper_51            1  35.265134 -114.246611    Kate Spade New York\n",
       "29       Shopper_68            1  37.783840 -122.407236              Swarovski\n",
       "...             ...          ...        ...         ...                    ...\n",
       "107605  Shopper_454            1  37.783982 -122.406909              Swarovski\n",
       "107606  Shopper_278            3  30.227258  -97.925617         Bloomingdale's\n",
       "107607  Shopper_318            2  37.784039 -122.406977              Cotton On\n",
       "107608  Shopper_440            0  37.784117 -122.407263    ProActiv Solutions \n",
       "107609  Shopper_363            0  37.784069 -122.407386    ProActiv Solutions \n",
       "107610  Shopper_339            0  37.783989 -122.407159    ProActiv Solutions \n",
       "107611   Shopper_47            0  31.487016 -102.005697         Bloomingdale's\n",
       "107612  Shopper_320            2  37.781113 -122.404167              Cotton On\n",
       "107613    Shopper_4            2  37.784046 -122.407011              Cotton On\n",
       "107614  Shopper_398            2  33.061211 -107.106029         Bloomingdale's\n",
       "107615  Shopper_154            1  37.784085 -122.406878              Swarovski\n",
       "107616  Shopper_459            0  37.784052 -122.407107    ProActiv Solutions \n",
       "107617  Shopper_459            0  37.784471 -122.406800    ProActiv Solutions \n",
       "107618  Shopper_419            2  37.743028 -122.371079              Cotton On\n",
       "107619  Shopper_319            3  34.320329 -111.206542       abercrombie kids\n",
       "107620  Shopper_319            0  37.784294 -122.406786    ProActiv Solutions \n",
       "107621  Shopper_319            2  34.315878 -111.249350       49ers Team Store\n",
       "107622  Shopper_468            2  37.783898 -122.407144              Cotton On\n",
       "107623  Shopper_244            3  37.781999 -122.405348           Steve Madden\n",
       "107624  Shopper_373            3  37.783965 -122.407176           Steve Madden\n",
       "107625  Shopper_376            1  37.784045 -122.407060              Swarovski\n",
       "107626  Shopper_100            0  35.219027 -114.115492          Bristol Farms\n",
       "107627  Shopper_100            0  37.784057 -122.407213    ProActiv Solutions \n",
       "107628   Shopper_28            2  37.783934 -122.407144              Cotton On\n",
       "107629   Shopper_76            1  37.783984 -122.407237              Swarovski\n",
       "107630  Shopper_317            4  28.338261  -91.805123         Bloomingdale's\n",
       "107631  Shopper_295            4  37.784115 -122.406981                TAP 415\n",
       "107632  Shopper_460            2  36.017950 -116.704627                H&M Man\n",
       "107633  Shopper_190            1  37.784047 -122.407000              Swarovski\n",
       "107634   Shopper_53            0  37.784078 -122.407087    ProActiv Solutions \n",
       "\n",
       "[107635 rows x 5 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visiting_infodf['Store_Name'] = visiting_infodf['Store_Category_visited2']\n",
    "visiting_infodf.drop(['Store_Category_visited2'], axis=1, inplace=True)\n",
    "visiting_infodf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">Floor_Index</th>\n",
       "      <th colspan=\"5\" halign=\"left\">latitude</th>\n",
       "      <th colspan=\"8\" halign=\"left\">longitude</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
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       "    <tr>\n",
       "      <th>Shopper_ID</th>\n",
       "      <th>Store_Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"20\" valign=\"top\">Shopper_1</th>\n",
       "      <th>49ers Team Store</th>\n",
       "      <td>6.0</td>\n",
       "      <td>1.833333</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>34.647954</td>\n",
       "      <td>...</td>\n",
       "      <td>34.877564</td>\n",
       "      <td>35.085194</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-112.247286</td>\n",
       "      <td>1.088574</td>\n",
       "      <td>-113.663800</td>\n",
       "      <td>-112.991193</td>\n",
       "      <td>-112.135203</td>\n",
       "      <td>-111.279180</td>\n",
       "      <td>-111.279150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BOSS</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.539867</td>\n",
       "      <td>...</td>\n",
       "      <td>35.539867</td>\n",
       "      <td>35.539867</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-115.187304</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-115.187304</td>\n",
       "      <td>-115.187304</td>\n",
       "      <td>-115.187304</td>\n",
       "      <td>-115.187304</td>\n",
       "      <td>-115.187304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bespoke Events</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.664477</td>\n",
       "      <td>...</td>\n",
       "      <td>35.664477</td>\n",
       "      <td>35.664477</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-115.588529</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-115.588529</td>\n",
       "      <td>-115.588529</td>\n",
       "      <td>-115.588529</td>\n",
       "      <td>-115.588529</td>\n",
       "      <td>-115.588529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bloomingdale's</th>\n",
       "      <td>56.0</td>\n",
       "      <td>1.178571</td>\n",
       "      <td>1.192509</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>30.293428</td>\n",
       "      <td>...</td>\n",
       "      <td>33.061063</td>\n",
       "      <td>34.349161</td>\n",
       "      <td>56.0</td>\n",
       "      <td>-98.162863</td>\n",
       "      <td>16.824408</td>\n",
       "      <td>-111.279173</td>\n",
       "      <td>-107.106165</td>\n",
       "      <td>-104.247580</td>\n",
       "      <td>-99.594852</td>\n",
       "      <td>-51.038836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bristol Farms</th>\n",
       "      <td>8.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>35.110687</td>\n",
       "      <td>...</td>\n",
       "      <td>35.565867</td>\n",
       "      <td>35.664467</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-113.795592</td>\n",
       "      <td>2.295199</td>\n",
       "      <td>-115.588692</td>\n",
       "      <td>-115.283293</td>\n",
       "      <td>-114.746463</td>\n",
       "      <td>-113.210257</td>\n",
       "      <td>-110.133960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Club Monaco Women</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.756492</td>\n",
       "      <td>...</td>\n",
       "      <td>34.817046</td>\n",
       "      <td>34.877600</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-112.598832</td>\n",
       "      <td>0.554808</td>\n",
       "      <td>-112.991140</td>\n",
       "      <td>-112.794986</td>\n",
       "      <td>-112.598832</td>\n",
       "      <td>-112.402677</td>\n",
       "      <td>-112.206523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cotton On</th>\n",
       "      <td>14.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>37.780865</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784076</td>\n",
       "      <td>37.784150</td>\n",
       "      <td>14.0</td>\n",
       "      <td>-122.404261</td>\n",
       "      <td>0.007147</td>\n",
       "      <td>-122.407213</td>\n",
       "      <td>-122.407141</td>\n",
       "      <td>-122.407099</td>\n",
       "      <td>-122.406918</td>\n",
       "      <td>-122.386801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H&amp;M</th>\n",
       "      <td>10.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>35.140561</td>\n",
       "      <td>...</td>\n",
       "      <td>35.365923</td>\n",
       "      <td>35.539812</td>\n",
       "      <td>10.0</td>\n",
       "      <td>-113.864805</td>\n",
       "      <td>0.937013</td>\n",
       "      <td>-115.187564</td>\n",
       "      <td>-114.613919</td>\n",
       "      <td>-113.944366</td>\n",
       "      <td>-113.159273</td>\n",
       "      <td>-112.206476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H&amp;M Man</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>35.429461</td>\n",
       "      <td>...</td>\n",
       "      <td>35.638763</td>\n",
       "      <td>35.776100</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-114.812141</td>\n",
       "      <td>1.340362</td>\n",
       "      <td>-115.947265</td>\n",
       "      <td>-115.492986</td>\n",
       "      <td>-115.197142</td>\n",
       "      <td>-114.849183</td>\n",
       "      <td>-112.206498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Janie And Jack</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>35.664484</td>\n",
       "      <td>...</td>\n",
       "      <td>35.664491</td>\n",
       "      <td>35.664494</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-115.588669</td>\n",
       "      <td>0.000021</td>\n",
       "      <td>-115.588692</td>\n",
       "      <td>-115.588679</td>\n",
       "      <td>-115.588667</td>\n",
       "      <td>-115.588658</td>\n",
       "      <td>-115.588650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kate Spade New York</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>35.265128</td>\n",
       "      <td>...</td>\n",
       "      <td>35.265132</td>\n",
       "      <td>35.265136</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-114.246674</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>-114.246687</td>\n",
       "      <td>-114.246681</td>\n",
       "      <td>-114.246674</td>\n",
       "      <td>-114.246667</td>\n",
       "      <td>-114.246660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M.Y. China</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.756717</td>\n",
       "      <td>...</td>\n",
       "      <td>35.756717</td>\n",
       "      <td>35.756717</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-115.930223</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-115.930223</td>\n",
       "      <td>-115.930223</td>\n",
       "      <td>-115.930223</td>\n",
       "      <td>-115.930223</td>\n",
       "      <td>-115.930223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProActiv Solutions</th>\n",
       "      <td>30.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>37.778767</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784109</td>\n",
       "      <td>37.784263</td>\n",
       "      <td>30.0</td>\n",
       "      <td>-122.402133</td>\n",
       "      <td>0.015500</td>\n",
       "      <td>-122.407302</td>\n",
       "      <td>-122.407162</td>\n",
       "      <td>-122.406884</td>\n",
       "      <td>-122.406457</td>\n",
       "      <td>-122.341798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sarku Japan</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.635394</td>\n",
       "      <td>...</td>\n",
       "      <td>34.635394</td>\n",
       "      <td>34.635394</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-112.206505</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-112.206505</td>\n",
       "      <td>-112.206505</td>\n",
       "      <td>-112.206505</td>\n",
       "      <td>-112.206505</td>\n",
       "      <td>-112.206505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steve Madden</th>\n",
       "      <td>18.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>37.777958</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784077</td>\n",
       "      <td>37.784121</td>\n",
       "      <td>18.0</td>\n",
       "      <td>-122.392791</td>\n",
       "      <td>0.051643</td>\n",
       "      <td>-122.407207</td>\n",
       "      <td>-122.407146</td>\n",
       "      <td>-122.407082</td>\n",
       "      <td>-122.406798</td>\n",
       "      <td>-122.187249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swarovski</th>\n",
       "      <td>15.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>37.776045</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784094</td>\n",
       "      <td>37.784128</td>\n",
       "      <td>15.0</td>\n",
       "      <td>-122.389342</td>\n",
       "      <td>0.056497</td>\n",
       "      <td>-122.407198</td>\n",
       "      <td>-122.407120</td>\n",
       "      <td>-122.407079</td>\n",
       "      <td>-122.406966</td>\n",
       "      <td>-122.187237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAP 415</th>\n",
       "      <td>8.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>37.769057</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784114</td>\n",
       "      <td>37.784158</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-122.393541</td>\n",
       "      <td>0.028797</td>\n",
       "      <td>-122.407049</td>\n",
       "      <td>-122.406821</td>\n",
       "      <td>-122.406719</td>\n",
       "      <td>-122.400416</td>\n",
       "      <td>-122.325626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Walking Company</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>35.772336</td>\n",
       "      <td>...</td>\n",
       "      <td>35.826234</td>\n",
       "      <td>35.876436</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-115.935490</td>\n",
       "      <td>0.341225</td>\n",
       "      <td>-116.270529</td>\n",
       "      <td>-116.109035</td>\n",
       "      <td>-115.947542</td>\n",
       "      <td>-115.767970</td>\n",
       "      <td>-115.588398</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tiffany &amp; Co.</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.005665</td>\n",
       "      <td>...</td>\n",
       "      <td>34.005667</td>\n",
       "      <td>34.005668</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-110.166400</td>\n",
       "      <td>0.000030</td>\n",
       "      <td>-110.166421</td>\n",
       "      <td>-110.166411</td>\n",
       "      <td>-110.166400</td>\n",
       "      <td>-110.166390</td>\n",
       "      <td>-110.166379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abercrombie kids</th>\n",
       "      <td>2.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.349175</td>\n",
       "      <td>...</td>\n",
       "      <td>34.349175</td>\n",
       "      <td>34.349176</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-111.279110</td>\n",
       "      <td>0.000027</td>\n",
       "      <td>-111.279129</td>\n",
       "      <td>-111.279120</td>\n",
       "      <td>-111.279110</td>\n",
       "      <td>-111.279101</td>\n",
       "      <td>-111.279091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">Shopper_10</th>\n",
       "      <th>49ers Team Store</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.25</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>34.349947</td>\n",
       "      <td>...</td>\n",
       "      <td>34.486017</td>\n",
       "      <td>34.486865</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-111.281528</td>\n",
       "      <td>0.591494</td>\n",
       "      <td>-111.724967</td>\n",
       "      <td>-111.722219</td>\n",
       "      <td>-111.464161</td>\n",
       "      <td>-111.023470</td>\n",
       "      <td>-110.472823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Auntie Anne's Pretzels</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>37.321229</td>\n",
       "      <td>...</td>\n",
       "      <td>37.361883</td>\n",
       "      <td>37.402537</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-120.906054</td>\n",
       "      <td>0.372622</td>\n",
       "      <td>-121.169538</td>\n",
       "      <td>-121.037796</td>\n",
       "      <td>-120.906054</td>\n",
       "      <td>-120.774312</td>\n",
       "      <td>-120.642571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bespoke Events</th>\n",
       "      <td>4.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>34.961966</td>\n",
       "      <td>...</td>\n",
       "      <td>35.127255</td>\n",
       "      <td>35.135766</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-113.271800</td>\n",
       "      <td>0.972777</td>\n",
       "      <td>-113.827394</td>\n",
       "      <td>-113.799833</td>\n",
       "      <td>-113.721387</td>\n",
       "      <td>-113.193354</td>\n",
       "      <td>-111.817032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bloomingdale's</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>33.212029</td>\n",
       "      <td>...</td>\n",
       "      <td>33.212029</td>\n",
       "      <td>33.212029</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-107.594816</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-107.594816</td>\n",
       "      <td>-107.594816</td>\n",
       "      <td>-107.594816</td>\n",
       "      <td>-107.594816</td>\n",
       "      <td>-107.594816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brighton Collectibles</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>36.932381</td>\n",
       "      <td>...</td>\n",
       "      <td>37.031481</td>\n",
       "      <td>37.039586</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-119.646636</td>\n",
       "      <td>0.323971</td>\n",
       "      <td>-119.993700</td>\n",
       "      <td>-119.967906</td>\n",
       "      <td>-119.599567</td>\n",
       "      <td>-119.357911</td>\n",
       "      <td>-119.314095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bristol Farms</th>\n",
       "      <td>2.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>36.261981</td>\n",
       "      <td>...</td>\n",
       "      <td>36.463910</td>\n",
       "      <td>36.665839</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-117.474593</td>\n",
       "      <td>1.850300</td>\n",
       "      <td>-118.782953</td>\n",
       "      <td>-118.128773</td>\n",
       "      <td>-117.474593</td>\n",
       "      <td>-116.820413</td>\n",
       "      <td>-116.166233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Camper</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>36.682338</td>\n",
       "      <td>...</td>\n",
       "      <td>36.874803</td>\n",
       "      <td>37.067269</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-118.836670</td>\n",
       "      <td>1.763762</td>\n",
       "      <td>-120.083838</td>\n",
       "      <td>-119.460254</td>\n",
       "      <td>-118.836670</td>\n",
       "      <td>-118.213086</td>\n",
       "      <td>-117.589502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Club Monaco Women</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>35.125500</td>\n",
       "      <td>...</td>\n",
       "      <td>35.152055</td>\n",
       "      <td>35.178610</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-113.808873</td>\n",
       "      <td>0.221672</td>\n",
       "      <td>-113.965619</td>\n",
       "      <td>-113.887246</td>\n",
       "      <td>-113.808873</td>\n",
       "      <td>-113.730500</td>\n",
       "      <td>-113.652127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cotton On</th>\n",
       "      <td>7.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>37.759743</td>\n",
       "      <td>...</td>\n",
       "      <td>37.783735</td>\n",
       "      <td>37.784004</td>\n",
       "      <td>7.0</td>\n",
       "      <td>-122.338359</td>\n",
       "      <td>0.168883</td>\n",
       "      <td>-122.407199</td>\n",
       "      <td>-122.406524</td>\n",
       "      <td>-122.405467</td>\n",
       "      <td>-122.393435</td>\n",
       "      <td>-121.955931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H&amp;M Man</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.375902</td>\n",
       "      <td>...</td>\n",
       "      <td>35.375902</td>\n",
       "      <td>35.375902</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-114.605407</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-114.605407</td>\n",
       "      <td>-114.605407</td>\n",
       "      <td>-114.605407</td>\n",
       "      <td>-114.605407</td>\n",
       "      <td>-114.605407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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 rowspan=\"7\" valign=\"top\">Shopper_98</th>\n",
       "      <th>H&amp;M Man</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.265206</td>\n",
       "      <td>...</td>\n",
       "      <td>35.265206</td>\n",
       "      <td>35.265206</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-114.246510</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-114.246510</td>\n",
       "      <td>-114.246510</td>\n",
       "      <td>-114.246510</td>\n",
       "      <td>-114.246510</td>\n",
       "      <td>-114.246510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kate Spade New York</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.265127</td>\n",
       "      <td>...</td>\n",
       "      <td>35.265127</td>\n",
       "      <td>35.265127</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-114.246654</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-114.246654</td>\n",
       "      <td>-114.246654</td>\n",
       "      <td>-114.246654</td>\n",
       "      <td>-114.246654</td>\n",
       "      <td>-114.246654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M.Y. China</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.894975</td>\n",
       "      <td>...</td>\n",
       "      <td>35.894975</td>\n",
       "      <td>35.894975</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-116.286596</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-116.286596</td>\n",
       "      <td>-116.286596</td>\n",
       "      <td>-116.286596</td>\n",
       "      <td>-116.286596</td>\n",
       "      <td>-116.286596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProActiv Solutions</th>\n",
       "      <td>66.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>37.784064</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784104</td>\n",
       "      <td>37.784350</td>\n",
       "      <td>66.0</td>\n",
       "      <td>-122.407054</td>\n",
       "      <td>0.000222</td>\n",
       "      <td>-122.407478</td>\n",
       "      <td>-122.407148</td>\n",
       "      <td>-122.407082</td>\n",
       "      <td>-122.407031</td>\n",
       "      <td>-122.406377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steve Madden</th>\n",
       "      <td>21.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>37.784062</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784125</td>\n",
       "      <td>37.784163</td>\n",
       "      <td>21.0</td>\n",
       "      <td>-122.407146</td>\n",
       "      <td>0.000119</td>\n",
       "      <td>-122.407302</td>\n",
       "      <td>-122.407224</td>\n",
       "      <td>-122.407162</td>\n",
       "      <td>-122.407062</td>\n",
       "      <td>-122.406840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swarovski</th>\n",
       "      <td>49.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>37.784060</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784067</td>\n",
       "      <td>37.784564</td>\n",
       "      <td>49.0</td>\n",
       "      <td>-122.407030</td>\n",
       "      <td>0.000146</td>\n",
       "      <td>-122.407262</td>\n",
       "      <td>-122.407113</td>\n",
       "      <td>-122.407053</td>\n",
       "      <td>-122.407008</td>\n",
       "      <td>-122.406374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAP 415</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.784223</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784223</td>\n",
       "      <td>37.784223</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-122.406595</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-122.406595</td>\n",
       "      <td>-122.406595</td>\n",
       "      <td>-122.406595</td>\n",
       "      <td>-122.406595</td>\n",
       "      <td>-122.406595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"23\" valign=\"top\">Shopper_99</th>\n",
       "      <th>49ers Team Store</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.75</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.426346</td>\n",
       "      <td>...</td>\n",
       "      <td>34.455141</td>\n",
       "      <td>34.483937</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-111.559939</td>\n",
       "      <td>0.244735</td>\n",
       "      <td>-111.732993</td>\n",
       "      <td>-111.646466</td>\n",
       "      <td>-111.559939</td>\n",
       "      <td>-111.473412</td>\n",
       "      <td>-111.386886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adidas</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.596151</td>\n",
       "      <td>...</td>\n",
       "      <td>37.596151</td>\n",
       "      <td>37.596151</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-121.798387</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-121.798387</td>\n",
       "      <td>-121.798387</td>\n",
       "      <td>-121.798387</td>\n",
       "      <td>-121.798387</td>\n",
       "      <td>-121.798387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bath &amp; Body Works</th>\n",
       "      <td>1.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>36.550032</td>\n",
       "      <td>...</td>\n",
       "      <td>36.550032</td>\n",
       "      <td>36.550032</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-118.408601</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-118.408601</td>\n",
       "      <td>-118.408601</td>\n",
       "      <td>-118.408601</td>\n",
       "      <td>-118.408601</td>\n",
       "      <td>-118.408601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bespoke Events</th>\n",
       "      <td>9.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>34.931459</td>\n",
       "      <td>...</td>\n",
       "      <td>35.153084</td>\n",
       "      <td>35.540035</td>\n",
       "      <td>9.0</td>\n",
       "      <td>-113.225671</td>\n",
       "      <td>1.222782</td>\n",
       "      <td>-115.187127</td>\n",
       "      <td>-113.942530</td>\n",
       "      <td>-112.966029</td>\n",
       "      <td>-112.965748</td>\n",
       "      <td>-110.960084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bloomingdale's</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1.788854</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>33.916033</td>\n",
       "      <td>...</td>\n",
       "      <td>33.987472</td>\n",
       "      <td>34.401416</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-109.926246</td>\n",
       "      <td>0.996250</td>\n",
       "      <td>-111.466124</td>\n",
       "      <td>-110.149677</td>\n",
       "      <td>-109.740750</td>\n",
       "      <td>-109.504599</td>\n",
       "      <td>-108.770082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brighton Collectibles</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>36.619761</td>\n",
       "      <td>...</td>\n",
       "      <td>36.656019</td>\n",
       "      <td>36.711757</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-118.634512</td>\n",
       "      <td>0.272048</td>\n",
       "      <td>-118.932571</td>\n",
       "      <td>-118.751982</td>\n",
       "      <td>-118.571393</td>\n",
       "      <td>-118.485483</td>\n",
       "      <td>-118.399573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bristol Farms</th>\n",
       "      <td>6.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>36.158205</td>\n",
       "      <td>...</td>\n",
       "      <td>36.552346</td>\n",
       "      <td>36.711092</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-117.167800</td>\n",
       "      <td>1.424325</td>\n",
       "      <td>-118.930418</td>\n",
       "      <td>-118.425441</td>\n",
       "      <td>-116.670352</td>\n",
       "      <td>-116.270022</td>\n",
       "      <td>-115.588629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Camper</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>36.693097</td>\n",
       "      <td>...</td>\n",
       "      <td>36.716910</td>\n",
       "      <td>36.731214</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-118.872381</td>\n",
       "      <td>0.106339</td>\n",
       "      <td>-118.996073</td>\n",
       "      <td>-118.949556</td>\n",
       "      <td>-118.870026</td>\n",
       "      <td>-118.819317</td>\n",
       "      <td>-118.726933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Club Monaco Women</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.759970</td>\n",
       "      <td>...</td>\n",
       "      <td>34.819125</td>\n",
       "      <td>34.878280</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-112.629783</td>\n",
       "      <td>0.512538</td>\n",
       "      <td>-112.992201</td>\n",
       "      <td>-112.810992</td>\n",
       "      <td>-112.629783</td>\n",
       "      <td>-112.448573</td>\n",
       "      <td>-112.267364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cotton On</th>\n",
       "      <td>25.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>37.762905</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784018</td>\n",
       "      <td>37.784615</td>\n",
       "      <td>25.0</td>\n",
       "      <td>-122.339945</td>\n",
       "      <td>0.183527</td>\n",
       "      <td>-122.407265</td>\n",
       "      <td>-122.407104</td>\n",
       "      <td>-122.407089</td>\n",
       "      <td>-122.406519</td>\n",
       "      <td>-121.814475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H&amp;M</th>\n",
       "      <td>1.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.539964</td>\n",
       "      <td>...</td>\n",
       "      <td>35.539964</td>\n",
       "      <td>35.539964</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-115.187357</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-115.187357</td>\n",
       "      <td>-115.187357</td>\n",
       "      <td>-115.187357</td>\n",
       "      <td>-115.187357</td>\n",
       "      <td>-115.187357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H&amp;M Man</th>\n",
       "      <td>9.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>35.747418</td>\n",
       "      <td>...</td>\n",
       "      <td>35.876719</td>\n",
       "      <td>36.125315</td>\n",
       "      <td>9.0</td>\n",
       "      <td>-115.848594</td>\n",
       "      <td>0.885712</td>\n",
       "      <td>-117.070787</td>\n",
       "      <td>-116.270456</td>\n",
       "      <td>-115.947290</td>\n",
       "      <td>-115.588303</td>\n",
       "      <td>-114.224940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Janie And Jack</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>35.802865</td>\n",
       "      <td>...</td>\n",
       "      <td>35.871966</td>\n",
       "      <td>35.967674</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-116.032591</td>\n",
       "      <td>0.492489</td>\n",
       "      <td>-116.562212</td>\n",
       "      <td>-116.254680</td>\n",
       "      <td>-115.947148</td>\n",
       "      <td>-115.767781</td>\n",
       "      <td>-115.588414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kate Spade New York</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>35.399704</td>\n",
       "      <td>...</td>\n",
       "      <td>35.399781</td>\n",
       "      <td>35.399860</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-114.736085</td>\n",
       "      <td>0.000260</td>\n",
       "      <td>-114.736313</td>\n",
       "      <td>-114.736226</td>\n",
       "      <td>-114.736139</td>\n",
       "      <td>-114.735970</td>\n",
       "      <td>-114.735801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>L'Occitane en Provence</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>36.231671</td>\n",
       "      <td>...</td>\n",
       "      <td>36.335822</td>\n",
       "      <td>36.336577</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-117.406740</td>\n",
       "      <td>0.375576</td>\n",
       "      <td>-117.716985</td>\n",
       "      <td>-117.714535</td>\n",
       "      <td>-117.496074</td>\n",
       "      <td>-117.292919</td>\n",
       "      <td>-116.813187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lids</th>\n",
       "      <td>1.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>36.194433</td>\n",
       "      <td>...</td>\n",
       "      <td>36.194433</td>\n",
       "      <td>36.194433</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-117.293123</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-117.293123</td>\n",
       "      <td>-117.293123</td>\n",
       "      <td>-117.293123</td>\n",
       "      <td>-117.293123</td>\n",
       "      <td>-117.293123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M.Y. China</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>36.049928</td>\n",
       "      <td>...</td>\n",
       "      <td>36.049928</td>\n",
       "      <td>36.049928</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-116.828233</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-116.828233</td>\n",
       "      <td>-116.828233</td>\n",
       "      <td>-116.828233</td>\n",
       "      <td>-116.828233</td>\n",
       "      <td>-116.828233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProActiv Solutions</th>\n",
       "      <td>51.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>37.774664</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784212</td>\n",
       "      <td>37.785072</td>\n",
       "      <td>51.0</td>\n",
       "      <td>-122.381705</td>\n",
       "      <td>0.100355</td>\n",
       "      <td>-122.409203</td>\n",
       "      <td>-122.407054</td>\n",
       "      <td>-122.407016</td>\n",
       "      <td>-122.406637</td>\n",
       "      <td>-121.799954</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steve Madden</th>\n",
       "      <td>8.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>37.754685</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784018</td>\n",
       "      <td>37.784026</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-122.325712</td>\n",
       "      <td>0.213061</td>\n",
       "      <td>-122.407110</td>\n",
       "      <td>-122.407094</td>\n",
       "      <td>-122.407058</td>\n",
       "      <td>-122.388739</td>\n",
       "      <td>-121.799024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swarovski</th>\n",
       "      <td>28.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>37.778351</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784346</td>\n",
       "      <td>37.785318</td>\n",
       "      <td>28.0</td>\n",
       "      <td>-122.401428</td>\n",
       "      <td>0.007984</td>\n",
       "      <td>-122.409686</td>\n",
       "      <td>-122.406787</td>\n",
       "      <td>-122.406541</td>\n",
       "      <td>-122.395289</td>\n",
       "      <td>-122.379390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swatch</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>37.582251</td>\n",
       "      <td>...</td>\n",
       "      <td>37.582725</td>\n",
       "      <td>37.583199</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-121.753377</td>\n",
       "      <td>0.004345</td>\n",
       "      <td>-121.756450</td>\n",
       "      <td>-121.754913</td>\n",
       "      <td>-121.753377</td>\n",
       "      <td>-121.751841</td>\n",
       "      <td>-121.750305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAP 415</th>\n",
       "      <td>18.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>37.736468</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784389</td>\n",
       "      <td>37.784623</td>\n",
       "      <td>18.0</td>\n",
       "      <td>-122.307073</td>\n",
       "      <td>0.360206</td>\n",
       "      <td>-122.406745</td>\n",
       "      <td>-122.406516</td>\n",
       "      <td>-122.391547</td>\n",
       "      <td>-122.380519</td>\n",
       "      <td>-120.865104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abercrombie kids</th>\n",
       "      <td>1.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.218488</td>\n",
       "      <td>...</td>\n",
       "      <td>34.218488</td>\n",
       "      <td>34.218488</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-110.902210</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-110.902210</td>\n",
       "      <td>-110.902210</td>\n",
       "      <td>-110.902210</td>\n",
       "      <td>-110.902210</td>\n",
       "      <td>-110.902210</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8739 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  Floor_Index                                 \\\n",
       "                                        count      mean       std  min   25%   \n",
       "Shopper_ID Store_Name                                                          \n",
       "Shopper_1  49ers Team Store               6.0  1.833333  0.408248  1.0  2.00   \n",
       "           BOSS                           1.0  1.000000       NaN  1.0  1.00   \n",
       "           Bespoke Events                 1.0  4.000000       NaN  4.0  4.00   \n",
       "           Bloomingdale's                56.0  1.178571  1.192509  0.0  0.00   \n",
       "           Bristol Farms                  8.0  0.000000  0.000000  0.0  0.00   \n",
       "           Club Monaco Women              2.0  1.000000  0.000000  1.0  1.00   \n",
       "           Cotton On                     14.0  2.000000  0.000000  2.0  2.00   \n",
       "           H&M                           10.0  3.000000  0.000000  3.0  3.00   \n",
       "           H&M Man                        6.0  2.000000  0.000000  2.0  2.00   \n",
       "           Janie And Jack                 3.0  1.000000  0.000000  1.0  1.00   \n",
       "           Kate Spade New York            2.0  1.000000  0.000000  1.0  1.00   \n",
       "           M.Y. China                     1.0  4.000000       NaN  4.0  4.00   \n",
       "           ProActiv Solutions            30.0  0.000000  0.000000  0.0  0.00   \n",
       "           Sarku Japan                    1.0  0.000000       NaN  0.0  0.00   \n",
       "           Steve Madden                  18.0  3.000000  0.000000  3.0  3.00   \n",
       "           Swarovski                     15.0  1.000000  0.000000  1.0  1.00   \n",
       "           TAP 415                        8.0  4.000000  0.000000  4.0  4.00   \n",
       "           The Walking Company            3.0  3.000000  0.000000  3.0  3.00   \n",
       "           Tiffany & Co.                  2.0  1.000000  0.000000  1.0  1.00   \n",
       "           abercrombie kids               2.0  3.000000  0.000000  3.0  3.00   \n",
       "Shopper_10 49ers Team Store               4.0  1.000000  0.816497  0.0  0.75   \n",
       "           Auntie Anne's Pretzels         2.0  2.000000  0.000000  2.0  2.00   \n",
       "           Bespoke Events                 4.0  4.000000  0.000000  4.0  4.00   \n",
       "           Bloomingdale's                 1.0  4.000000       NaN  4.0  4.00   \n",
       "           Brighton Collectibles          5.0  1.000000  0.000000  1.0  1.00   \n",
       "           Bristol Farms                  2.0  0.000000  0.000000  0.0  0.00   \n",
       "           Camper                         2.0  2.000000  0.000000  2.0  2.00   \n",
       "           Club Monaco Women              2.0  1.000000  0.000000  1.0  1.00   \n",
       "           Cotton On                      7.0  2.000000  0.000000  2.0  2.00   \n",
       "           H&M Man                        1.0  2.000000       NaN  2.0  2.00   \n",
       "...                                       ...       ...       ...  ...   ...   \n",
       "Shopper_98 H&M Man                        1.0  2.000000       NaN  2.0  2.00   \n",
       "           Kate Spade New York            1.0  1.000000       NaN  1.0  1.00   \n",
       "           M.Y. China                     1.0  4.000000       NaN  4.0  4.00   \n",
       "           ProActiv Solutions            66.0  0.000000  0.000000  0.0  0.00   \n",
       "           Steve Madden                  21.0  3.000000  0.000000  3.0  3.00   \n",
       "           Swarovski                     49.0  1.000000  0.000000  1.0  1.00   \n",
       "           TAP 415                        1.0  4.000000       NaN  4.0  4.00   \n",
       "Shopper_99 49ers Team Store               2.0  1.500000  0.707107  1.0  1.25   \n",
       "           Adidas                         1.0  2.000000       NaN  2.0  2.00   \n",
       "           Bath & Body Works              1.0  3.000000       NaN  3.0  3.00   \n",
       "           Bespoke Events                 9.0  4.000000  0.000000  4.0  4.00   \n",
       "           Bloomingdale's                 5.0  2.800000  1.788854  0.0  2.00   \n",
       "           Brighton Collectibles          3.0  1.000000  0.000000  1.0  1.00   \n",
       "           Bristol Farms                  6.0  0.000000  0.000000  0.0  0.00   \n",
       "           Camper                         5.0  2.000000  0.000000  2.0  2.00   \n",
       "           Club Monaco Women              2.0  1.000000  0.000000  1.0  1.00   \n",
       "           Cotton On                     25.0  2.000000  0.000000  2.0  2.00   \n",
       "           H&M                            1.0  3.000000       NaN  3.0  3.00   \n",
       "           H&M Man                        9.0  2.000000  0.000000  2.0  2.00   \n",
       "           Janie And Jack                 3.0  1.000000  0.000000  1.0  1.00   \n",
       "           Kate Spade New York            3.0  1.000000  0.000000  1.0  1.00   \n",
       "           L'Occitane en Provence         5.0  1.000000  0.000000  1.0  1.00   \n",
       "           Lids                           1.0  3.000000       NaN  3.0  3.00   \n",
       "           M.Y. China                     1.0  4.000000       NaN  4.0  4.00   \n",
       "           ProActiv Solutions            51.0  0.000000  0.000000  0.0  0.00   \n",
       "           Steve Madden                   8.0  3.000000  0.000000  3.0  3.00   \n",
       "           Swarovski                     28.0  1.000000  0.000000  1.0  1.00   \n",
       "           Swatch                         2.0  1.000000  0.000000  1.0  1.00   \n",
       "           TAP 415                       18.0  4.000000  0.000000  4.0  4.00   \n",
       "           abercrombie kids               1.0  3.000000       NaN  3.0  3.00   \n",
       "\n",
       "                                                  latitude             \\\n",
       "                                   50%   75%  max    count       mean   \n",
       "Shopper_ID Store_Name                                                   \n",
       "Shopper_1  49ers Team Store        2.0  2.00  2.0      6.0  34.647954   \n",
       "           BOSS                    1.0  1.00  1.0      1.0  35.539867   \n",
       "           Bespoke Events          4.0  4.00  4.0      1.0  35.664477   \n",
       "           Bloomingdale's          1.0  2.00  4.0     56.0  30.293428   \n",
       "           Bristol Farms           0.0  0.00  0.0      8.0  35.110687   \n",
       "           Club Monaco Women       1.0  1.00  1.0      2.0  34.756492   \n",
       "           Cotton On               2.0  2.00  2.0     14.0  37.780865   \n",
       "           H&M                     3.0  3.00  3.0     10.0  35.140561   \n",
       "           H&M Man                 2.0  2.00  2.0      6.0  35.429461   \n",
       "           Janie And Jack          1.0  1.00  1.0      3.0  35.664484   \n",
       "           Kate Spade New York     1.0  1.00  1.0      2.0  35.265128   \n",
       "           M.Y. China              4.0  4.00  4.0      1.0  35.756717   \n",
       "           ProActiv Solutions      0.0  0.00  0.0     30.0  37.778767   \n",
       "           Sarku Japan             0.0  0.00  0.0      1.0  34.635394   \n",
       "           Steve Madden            3.0  3.00  3.0     18.0  37.777958   \n",
       "           Swarovski               1.0  1.00  1.0     15.0  37.776045   \n",
       "           TAP 415                 4.0  4.00  4.0      8.0  37.769057   \n",
       "           The Walking Company     3.0  3.00  3.0      3.0  35.772336   \n",
       "           Tiffany & Co.           1.0  1.00  1.0      2.0  34.005665   \n",
       "           abercrombie kids        3.0  3.00  3.0      2.0  34.349175   \n",
       "Shopper_10 49ers Team Store        1.0  1.25  2.0      4.0  34.349947   \n",
       "           Auntie Anne's Pretzels  2.0  2.00  2.0      2.0  37.321229   \n",
       "           Bespoke Events          4.0  4.00  4.0      4.0  34.961966   \n",
       "           Bloomingdale's          4.0  4.00  4.0      1.0  33.212029   \n",
       "           Brighton Collectibles   1.0  1.00  1.0      5.0  36.932381   \n",
       "           Bristol Farms           0.0  0.00  0.0      2.0  36.261981   \n",
       "           Camper                  2.0  2.00  2.0      2.0  36.682338   \n",
       "           Club Monaco Women       1.0  1.00  1.0      2.0  35.125500   \n",
       "           Cotton On               2.0  2.00  2.0      7.0  37.759743   \n",
       "           H&M Man                 2.0  2.00  2.0      1.0  35.375902   \n",
       "...                                ...   ...  ...      ...        ...   \n",
       "Shopper_98 H&M Man                 2.0  2.00  2.0      1.0  35.265206   \n",
       "           Kate Spade New York     1.0  1.00  1.0      1.0  35.265127   \n",
       "           M.Y. China              4.0  4.00  4.0      1.0  35.894975   \n",
       "           ProActiv Solutions      0.0  0.00  0.0     66.0  37.784064   \n",
       "           Steve Madden            3.0  3.00  3.0     21.0  37.784062   \n",
       "           Swarovski               1.0  1.00  1.0     49.0  37.784060   \n",
       "           TAP 415                 4.0  4.00  4.0      1.0  37.784223   \n",
       "Shopper_99 49ers Team Store        1.5  1.75  2.0      2.0  34.426346   \n",
       "           Adidas                  2.0  2.00  2.0      1.0  37.596151   \n",
       "           Bath & Body Works       3.0  3.00  3.0      1.0  36.550032   \n",
       "           Bespoke Events          4.0  4.00  4.0      9.0  34.931459   \n",
       "           Bloomingdale's          4.0  4.00  4.0      5.0  33.916033   \n",
       "           Brighton Collectibles   1.0  1.00  1.0      3.0  36.619761   \n",
       "           Bristol Farms           0.0  0.00  0.0      6.0  36.158205   \n",
       "           Camper                  2.0  2.00  2.0      5.0  36.693097   \n",
       "           Club Monaco Women       1.0  1.00  1.0      2.0  34.759970   \n",
       "           Cotton On               2.0  2.00  2.0     25.0  37.762905   \n",
       "           H&M                     3.0  3.00  3.0      1.0  35.539964   \n",
       "           H&M Man                 2.0  2.00  2.0      9.0  35.747418   \n",
       "           Janie And Jack          1.0  1.00  1.0      3.0  35.802865   \n",
       "           Kate Spade New York     1.0  1.00  1.0      3.0  35.399704   \n",
       "           L'Occitane en Provence  1.0  1.00  1.0      5.0  36.231671   \n",
       "           Lids                    3.0  3.00  3.0      1.0  36.194433   \n",
       "           M.Y. China              4.0  4.00  4.0      1.0  36.049928   \n",
       "           ProActiv Solutions      0.0  0.00  0.0     51.0  37.774664   \n",
       "           Steve Madden            3.0  3.00  3.0      8.0  37.754685   \n",
       "           Swarovski               1.0  1.00  1.0     28.0  37.778351   \n",
       "           Swatch                  1.0  1.00  1.0      2.0  37.582251   \n",
       "           TAP 415                 4.0  4.00  4.0     18.0  37.736468   \n",
       "           abercrombie kids        3.0  3.00  3.0      1.0  34.218488   \n",
       "\n",
       "                                      ...                           longitude  \\\n",
       "                                      ...            75%        max     count   \n",
       "Shopper_ID Store_Name                 ...                                       \n",
       "Shopper_1  49ers Team Store           ...      34.877564  35.085194       6.0   \n",
       "           BOSS                       ...      35.539867  35.539867       1.0   \n",
       "           Bespoke Events             ...      35.664477  35.664477       1.0   \n",
       "           Bloomingdale's             ...      33.061063  34.349161      56.0   \n",
       "           Bristol Farms              ...      35.565867  35.664467       8.0   \n",
       "           Club Monaco Women          ...      34.817046  34.877600       2.0   \n",
       "           Cotton On                  ...      37.784076  37.784150      14.0   \n",
       "           H&M                        ...      35.365923  35.539812      10.0   \n",
       "           H&M Man                    ...      35.638763  35.776100       6.0   \n",
       "           Janie And Jack             ...      35.664491  35.664494       3.0   \n",
       "           Kate Spade New York        ...      35.265132  35.265136       2.0   \n",
       "           M.Y. China                 ...      35.756717  35.756717       1.0   \n",
       "           ProActiv Solutions         ...      37.784109  37.784263      30.0   \n",
       "           Sarku Japan                ...      34.635394  34.635394       1.0   \n",
       "           Steve Madden               ...      37.784077  37.784121      18.0   \n",
       "           Swarovski                  ...      37.784094  37.784128      15.0   \n",
       "           TAP 415                    ...      37.784114  37.784158       8.0   \n",
       "           The Walking Company        ...      35.826234  35.876436       3.0   \n",
       "           Tiffany & Co.              ...      34.005667  34.005668       2.0   \n",
       "           abercrombie kids           ...      34.349175  34.349176       2.0   \n",
       "Shopper_10 49ers Team Store           ...      34.486017  34.486865       4.0   \n",
       "           Auntie Anne's Pretzels     ...      37.361883  37.402537       2.0   \n",
       "           Bespoke Events             ...      35.127255  35.135766       4.0   \n",
       "           Bloomingdale's             ...      33.212029  33.212029       1.0   \n",
       "           Brighton Collectibles      ...      37.031481  37.039586       5.0   \n",
       "           Bristol Farms              ...      36.463910  36.665839       2.0   \n",
       "           Camper                     ...      36.874803  37.067269       2.0   \n",
       "           Club Monaco Women          ...      35.152055  35.178610       2.0   \n",
       "           Cotton On                  ...      37.783735  37.784004       7.0   \n",
       "           H&M Man                    ...      35.375902  35.375902       1.0   \n",
       "...                                   ...            ...        ...       ...   \n",
       "Shopper_98 H&M Man                    ...      35.265206  35.265206       1.0   \n",
       "           Kate Spade New York        ...      35.265127  35.265127       1.0   \n",
       "           M.Y. China                 ...      35.894975  35.894975       1.0   \n",
       "           ProActiv Solutions         ...      37.784104  37.784350      66.0   \n",
       "           Steve Madden               ...      37.784125  37.784163      21.0   \n",
       "           Swarovski                  ...      37.784067  37.784564      49.0   \n",
       "           TAP 415                    ...      37.784223  37.784223       1.0   \n",
       "Shopper_99 49ers Team Store           ...      34.455141  34.483937       2.0   \n",
       "           Adidas                     ...      37.596151  37.596151       1.0   \n",
       "           Bath & Body Works          ...      36.550032  36.550032       1.0   \n",
       "           Bespoke Events             ...      35.153084  35.540035       9.0   \n",
       "           Bloomingdale's             ...      33.987472  34.401416       5.0   \n",
       "           Brighton Collectibles      ...      36.656019  36.711757       3.0   \n",
       "           Bristol Farms              ...      36.552346  36.711092       6.0   \n",
       "           Camper                     ...      36.716910  36.731214       5.0   \n",
       "           Club Monaco Women          ...      34.819125  34.878280       2.0   \n",
       "           Cotton On                  ...      37.784018  37.784615      25.0   \n",
       "           H&M                        ...      35.539964  35.539964       1.0   \n",
       "           H&M Man                    ...      35.876719  36.125315       9.0   \n",
       "           Janie And Jack             ...      35.871966  35.967674       3.0   \n",
       "           Kate Spade New York        ...      35.399781  35.399860       3.0   \n",
       "           L'Occitane en Provence     ...      36.335822  36.336577       5.0   \n",
       "           Lids                       ...      36.194433  36.194433       1.0   \n",
       "           M.Y. China                 ...      36.049928  36.049928       1.0   \n",
       "           ProActiv Solutions         ...      37.784212  37.785072      51.0   \n",
       "           Steve Madden               ...      37.784018  37.784026       8.0   \n",
       "           Swarovski                  ...      37.784346  37.785318      28.0   \n",
       "           Swatch                     ...      37.582725  37.583199       2.0   \n",
       "           TAP 415                    ...      37.784389  37.784623      18.0   \n",
       "           abercrombie kids           ...      34.218488  34.218488       1.0   \n",
       "\n",
       "                                                                      \\\n",
       "                                         mean        std         min   \n",
       "Shopper_ID Store_Name                                                  \n",
       "Shopper_1  49ers Team Store       -112.247286   1.088574 -113.663800   \n",
       "           BOSS                   -115.187304        NaN -115.187304   \n",
       "           Bespoke Events         -115.588529        NaN -115.588529   \n",
       "           Bloomingdale's          -98.162863  16.824408 -111.279173   \n",
       "           Bristol Farms          -113.795592   2.295199 -115.588692   \n",
       "           Club Monaco Women      -112.598832   0.554808 -112.991140   \n",
       "           Cotton On              -122.404261   0.007147 -122.407213   \n",
       "           H&M                    -113.864805   0.937013 -115.187564   \n",
       "           H&M Man                -114.812141   1.340362 -115.947265   \n",
       "           Janie And Jack         -115.588669   0.000021 -115.588692   \n",
       "           Kate Spade New York    -114.246674   0.000020 -114.246687   \n",
       "           M.Y. China             -115.930223        NaN -115.930223   \n",
       "           ProActiv Solutions     -122.402133   0.015500 -122.407302   \n",
       "           Sarku Japan            -112.206505        NaN -112.206505   \n",
       "           Steve Madden           -122.392791   0.051643 -122.407207   \n",
       "           Swarovski              -122.389342   0.056497 -122.407198   \n",
       "           TAP 415                -122.393541   0.028797 -122.407049   \n",
       "           The Walking Company    -115.935490   0.341225 -116.270529   \n",
       "           Tiffany & Co.          -110.166400   0.000030 -110.166421   \n",
       "           abercrombie kids       -111.279110   0.000027 -111.279129   \n",
       "Shopper_10 49ers Team Store       -111.281528   0.591494 -111.724967   \n",
       "           Auntie Anne's Pretzels -120.906054   0.372622 -121.169538   \n",
       "           Bespoke Events         -113.271800   0.972777 -113.827394   \n",
       "           Bloomingdale's         -107.594816        NaN -107.594816   \n",
       "           Brighton Collectibles  -119.646636   0.323971 -119.993700   \n",
       "           Bristol Farms          -117.474593   1.850300 -118.782953   \n",
       "           Camper                 -118.836670   1.763762 -120.083838   \n",
       "           Club Monaco Women      -113.808873   0.221672 -113.965619   \n",
       "           Cotton On              -122.338359   0.168883 -122.407199   \n",
       "           H&M Man                -114.605407        NaN -114.605407   \n",
       "...                                       ...        ...         ...   \n",
       "Shopper_98 H&M Man                -114.246510        NaN -114.246510   \n",
       "           Kate Spade New York    -114.246654        NaN -114.246654   \n",
       "           M.Y. China             -116.286596        NaN -116.286596   \n",
       "           ProActiv Solutions     -122.407054   0.000222 -122.407478   \n",
       "           Steve Madden           -122.407146   0.000119 -122.407302   \n",
       "           Swarovski              -122.407030   0.000146 -122.407262   \n",
       "           TAP 415                -122.406595        NaN -122.406595   \n",
       "Shopper_99 49ers Team Store       -111.559939   0.244735 -111.732993   \n",
       "           Adidas                 -121.798387        NaN -121.798387   \n",
       "           Bath & Body Works      -118.408601        NaN -118.408601   \n",
       "           Bespoke Events         -113.225671   1.222782 -115.187127   \n",
       "           Bloomingdale's         -109.926246   0.996250 -111.466124   \n",
       "           Brighton Collectibles  -118.634512   0.272048 -118.932571   \n",
       "           Bristol Farms          -117.167800   1.424325 -118.930418   \n",
       "           Camper                 -118.872381   0.106339 -118.996073   \n",
       "           Club Monaco Women      -112.629783   0.512538 -112.992201   \n",
       "           Cotton On              -122.339945   0.183527 -122.407265   \n",
       "           H&M                    -115.187357        NaN -115.187357   \n",
       "           H&M Man                -115.848594   0.885712 -117.070787   \n",
       "           Janie And Jack         -116.032591   0.492489 -116.562212   \n",
       "           Kate Spade New York    -114.736085   0.000260 -114.736313   \n",
       "           L'Occitane en Provence -117.406740   0.375576 -117.716985   \n",
       "           Lids                   -117.293123        NaN -117.293123   \n",
       "           M.Y. China             -116.828233        NaN -116.828233   \n",
       "           ProActiv Solutions     -122.381705   0.100355 -122.409203   \n",
       "           Steve Madden           -122.325712   0.213061 -122.407110   \n",
       "           Swarovski              -122.401428   0.007984 -122.409686   \n",
       "           Swatch                 -121.753377   0.004345 -121.756450   \n",
       "           TAP 415                -122.307073   0.360206 -122.406745   \n",
       "           abercrombie kids       -110.902210        NaN -110.902210   \n",
       "\n",
       "                                                                       \\\n",
       "                                          25%         50%         75%   \n",
       "Shopper_ID Store_Name                                                   \n",
       "Shopper_1  49ers Team Store       -112.991193 -112.135203 -111.279180   \n",
       "           BOSS                   -115.187304 -115.187304 -115.187304   \n",
       "           Bespoke Events         -115.588529 -115.588529 -115.588529   \n",
       "           Bloomingdale's         -107.106165 -104.247580  -99.594852   \n",
       "           Bristol Farms          -115.283293 -114.746463 -113.210257   \n",
       "           Club Monaco Women      -112.794986 -112.598832 -112.402677   \n",
       "           Cotton On              -122.407141 -122.407099 -122.406918   \n",
       "           H&M                    -114.613919 -113.944366 -113.159273   \n",
       "           H&M Man                -115.492986 -115.197142 -114.849183   \n",
       "           Janie And Jack         -115.588679 -115.588667 -115.588658   \n",
       "           Kate Spade New York    -114.246681 -114.246674 -114.246667   \n",
       "           M.Y. China             -115.930223 -115.930223 -115.930223   \n",
       "           ProActiv Solutions     -122.407162 -122.406884 -122.406457   \n",
       "           Sarku Japan            -112.206505 -112.206505 -112.206505   \n",
       "           Steve Madden           -122.407146 -122.407082 -122.406798   \n",
       "           Swarovski              -122.407120 -122.407079 -122.406966   \n",
       "           TAP 415                -122.406821 -122.406719 -122.400416   \n",
       "           The Walking Company    -116.109035 -115.947542 -115.767970   \n",
       "           Tiffany & Co.          -110.166411 -110.166400 -110.166390   \n",
       "           abercrombie kids       -111.279120 -111.279110 -111.279101   \n",
       "Shopper_10 49ers Team Store       -111.722219 -111.464161 -111.023470   \n",
       "           Auntie Anne's Pretzels -121.037796 -120.906054 -120.774312   \n",
       "           Bespoke Events         -113.799833 -113.721387 -113.193354   \n",
       "           Bloomingdale's         -107.594816 -107.594816 -107.594816   \n",
       "           Brighton Collectibles  -119.967906 -119.599567 -119.357911   \n",
       "           Bristol Farms          -118.128773 -117.474593 -116.820413   \n",
       "           Camper                 -119.460254 -118.836670 -118.213086   \n",
       "           Club Monaco Women      -113.887246 -113.808873 -113.730500   \n",
       "           Cotton On              -122.406524 -122.405467 -122.393435   \n",
       "           H&M Man                -114.605407 -114.605407 -114.605407   \n",
       "...                                       ...         ...         ...   \n",
       "Shopper_98 H&M Man                -114.246510 -114.246510 -114.246510   \n",
       "           Kate Spade New York    -114.246654 -114.246654 -114.246654   \n",
       "           M.Y. China             -116.286596 -116.286596 -116.286596   \n",
       "           ProActiv Solutions     -122.407148 -122.407082 -122.407031   \n",
       "           Steve Madden           -122.407224 -122.407162 -122.407062   \n",
       "           Swarovski              -122.407113 -122.407053 -122.407008   \n",
       "           TAP 415                -122.406595 -122.406595 -122.406595   \n",
       "Shopper_99 49ers Team Store       -111.646466 -111.559939 -111.473412   \n",
       "           Adidas                 -121.798387 -121.798387 -121.798387   \n",
       "           Bath & Body Works      -118.408601 -118.408601 -118.408601   \n",
       "           Bespoke Events         -113.942530 -112.966029 -112.965748   \n",
       "           Bloomingdale's         -110.149677 -109.740750 -109.504599   \n",
       "           Brighton Collectibles  -118.751982 -118.571393 -118.485483   \n",
       "           Bristol Farms          -118.425441 -116.670352 -116.270022   \n",
       "           Camper                 -118.949556 -118.870026 -118.819317   \n",
       "           Club Monaco Women      -112.810992 -112.629783 -112.448573   \n",
       "           Cotton On              -122.407104 -122.407089 -122.406519   \n",
       "           H&M                    -115.187357 -115.187357 -115.187357   \n",
       "           H&M Man                -116.270456 -115.947290 -115.588303   \n",
       "           Janie And Jack         -116.254680 -115.947148 -115.767781   \n",
       "           Kate Spade New York    -114.736226 -114.736139 -114.735970   \n",
       "           L'Occitane en Provence -117.714535 -117.496074 -117.292919   \n",
       "           Lids                   -117.293123 -117.293123 -117.293123   \n",
       "           M.Y. China             -116.828233 -116.828233 -116.828233   \n",
       "           ProActiv Solutions     -122.407054 -122.407016 -122.406637   \n",
       "           Steve Madden           -122.407094 -122.407058 -122.388739   \n",
       "           Swarovski              -122.406787 -122.406541 -122.395289   \n",
       "           Swatch                 -121.754913 -121.753377 -121.751841   \n",
       "           TAP 415                -122.406516 -122.391547 -122.380519   \n",
       "           abercrombie kids       -110.902210 -110.902210 -110.902210   \n",
       "\n",
       "                                               \n",
       "                                          max  \n",
       "Shopper_ID Store_Name                          \n",
       "Shopper_1  49ers Team Store       -111.279150  \n",
       "           BOSS                   -115.187304  \n",
       "           Bespoke Events         -115.588529  \n",
       "           Bloomingdale's          -51.038836  \n",
       "           Bristol Farms          -110.133960  \n",
       "           Club Monaco Women      -112.206523  \n",
       "           Cotton On              -122.386801  \n",
       "           H&M                    -112.206476  \n",
       "           H&M Man                -112.206498  \n",
       "           Janie And Jack         -115.588650  \n",
       "           Kate Spade New York    -114.246660  \n",
       "           M.Y. China             -115.930223  \n",
       "           ProActiv Solutions     -122.341798  \n",
       "           Sarku Japan            -112.206505  \n",
       "           Steve Madden           -122.187249  \n",
       "           Swarovski              -122.187237  \n",
       "           TAP 415                -122.325626  \n",
       "           The Walking Company    -115.588398  \n",
       "           Tiffany & Co.          -110.166379  \n",
       "           abercrombie kids       -111.279091  \n",
       "Shopper_10 49ers Team Store       -110.472823  \n",
       "           Auntie Anne's Pretzels -120.642571  \n",
       "           Bespoke Events         -111.817032  \n",
       "           Bloomingdale's         -107.594816  \n",
       "           Brighton Collectibles  -119.314095  \n",
       "           Bristol Farms          -116.166233  \n",
       "           Camper                 -117.589502  \n",
       "           Club Monaco Women      -113.652127  \n",
       "           Cotton On              -121.955931  \n",
       "           H&M Man                -114.605407  \n",
       "...                                       ...  \n",
       "Shopper_98 H&M Man                -114.246510  \n",
       "           Kate Spade New York    -114.246654  \n",
       "           M.Y. China             -116.286596  \n",
       "           ProActiv Solutions     -122.406377  \n",
       "           Steve Madden           -122.406840  \n",
       "           Swarovski              -122.406374  \n",
       "           TAP 415                -122.406595  \n",
       "Shopper_99 49ers Team Store       -111.386886  \n",
       "           Adidas                 -121.798387  \n",
       "           Bath & Body Works      -118.408601  \n",
       "           Bespoke Events         -110.960084  \n",
       "           Bloomingdale's         -108.770082  \n",
       "           Brighton Collectibles  -118.399573  \n",
       "           Bristol Farms          -115.588629  \n",
       "           Camper                 -118.726933  \n",
       "           Club Monaco Women      -112.267364  \n",
       "           Cotton On              -121.814475  \n",
       "           H&M                    -115.187357  \n",
       "           H&M Man                -114.224940  \n",
       "           Janie And Jack         -115.588414  \n",
       "           Kate Spade New York    -114.735801  \n",
       "           L'Occitane en Provence -116.813187  \n",
       "           Lids                   -117.293123  \n",
       "           M.Y. China             -116.828233  \n",
       "           ProActiv Solutions     -121.799954  \n",
       "           Steve Madden           -121.799024  \n",
       "           Swarovski              -122.379390  \n",
       "           Swatch                 -121.750305  \n",
       "           TAP 415                -120.865104  \n",
       "           abercrombie kids       -110.902210  \n",
       "\n",
       "[8739 rows x 24 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visiting_info = visiting_infodf.groupby(['Shopper_ID','Store_Name']).describe()\n",
    "visiting_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">Floor_Index</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_ID</th>\n",
       "      <th>Store_Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"20\" valign=\"top\">Shopper_1</th>\n",
       "      <th>49ers Team Store</th>\n",
       "      <td>6.0</td>\n",
       "      <td>1.833333</td>\n",
       "      <td>0.408248</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BOSS</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bespoke Events</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bloomingdale's</th>\n",
       "      <td>56.0</td>\n",
       "      <td>1.178571</td>\n",
       "      <td>1.192509</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bristol Farms</th>\n",
       "      <td>8.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Club Monaco Women</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cotton On</th>\n",
       "      <td>14.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H&amp;M</th>\n",
       "      <td>10.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H&amp;M Man</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Janie And Jack</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kate Spade New York</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M.Y. China</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProActiv Solutions</th>\n",
       "      <td>30.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sarku Japan</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steve Madden</th>\n",
       "      <td>18.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swarovski</th>\n",
       "      <td>15.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAP 415</th>\n",
       "      <td>8.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Walking Company</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tiffany &amp; Co.</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abercrombie kids</th>\n",
       "      <td>2.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"10\" valign=\"top\">Shopper_10</th>\n",
       "      <th>49ers Team Store</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.816497</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.75</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.25</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Auntie Anne's Pretzels</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bespoke Events</th>\n",
       "      <td>4.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bloomingdale's</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brighton Collectibles</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bristol Farms</th>\n",
       "      <td>2.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Camper</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Club Monaco Women</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cotton On</th>\n",
       "      <td>7.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H&amp;M Man</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">Shopper_98</th>\n",
       "      <th>H&amp;M Man</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kate Spade New York</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M.Y. China</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProActiv Solutions</th>\n",
       "      <td>66.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steve Madden</th>\n",
       "      <td>21.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swarovski</th>\n",
       "      <td>49.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAP 415</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"23\" valign=\"top\">Shopper_99</th>\n",
       "      <th>49ers Team Store</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>0.707107</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.75</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Adidas</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bath &amp; Body Works</th>\n",
       "      <td>1.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bespoke Events</th>\n",
       "      <td>9.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bloomingdale's</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1.788854</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brighton Collectibles</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bristol Farms</th>\n",
       "      <td>6.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Camper</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Club Monaco Women</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cotton On</th>\n",
       "      <td>25.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H&amp;M</th>\n",
       "      <td>1.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>H&amp;M Man</th>\n",
       "      <td>9.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Janie And Jack</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kate Spade New York</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>L'Occitane en Provence</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lids</th>\n",
       "      <td>1.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M.Y. China</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ProActiv Solutions</th>\n",
       "      <td>51.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Steve Madden</th>\n",
       "      <td>8.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swarovski</th>\n",
       "      <td>28.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swatch</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAP 415</th>\n",
       "      <td>18.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>abercrombie kids</th>\n",
       "      <td>1.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8739 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  Floor_Index                                 \\\n",
       "                                        count      mean       std  min   25%   \n",
       "Shopper_ID Store_Name                                                          \n",
       "Shopper_1  49ers Team Store               6.0  1.833333  0.408248  1.0  2.00   \n",
       "           BOSS                           1.0  1.000000       NaN  1.0  1.00   \n",
       "           Bespoke Events                 1.0  4.000000       NaN  4.0  4.00   \n",
       "           Bloomingdale's                56.0  1.178571  1.192509  0.0  0.00   \n",
       "           Bristol Farms                  8.0  0.000000  0.000000  0.0  0.00   \n",
       "           Club Monaco Women              2.0  1.000000  0.000000  1.0  1.00   \n",
       "           Cotton On                     14.0  2.000000  0.000000  2.0  2.00   \n",
       "           H&M                           10.0  3.000000  0.000000  3.0  3.00   \n",
       "           H&M Man                        6.0  2.000000  0.000000  2.0  2.00   \n",
       "           Janie And Jack                 3.0  1.000000  0.000000  1.0  1.00   \n",
       "           Kate Spade New York            2.0  1.000000  0.000000  1.0  1.00   \n",
       "           M.Y. China                     1.0  4.000000       NaN  4.0  4.00   \n",
       "           ProActiv Solutions            30.0  0.000000  0.000000  0.0  0.00   \n",
       "           Sarku Japan                    1.0  0.000000       NaN  0.0  0.00   \n",
       "           Steve Madden                  18.0  3.000000  0.000000  3.0  3.00   \n",
       "           Swarovski                     15.0  1.000000  0.000000  1.0  1.00   \n",
       "           TAP 415                        8.0  4.000000  0.000000  4.0  4.00   \n",
       "           The Walking Company            3.0  3.000000  0.000000  3.0  3.00   \n",
       "           Tiffany & Co.                  2.0  1.000000  0.000000  1.0  1.00   \n",
       "           abercrombie kids               2.0  3.000000  0.000000  3.0  3.00   \n",
       "Shopper_10 49ers Team Store               4.0  1.000000  0.816497  0.0  0.75   \n",
       "           Auntie Anne's Pretzels         2.0  2.000000  0.000000  2.0  2.00   \n",
       "           Bespoke Events                 4.0  4.000000  0.000000  4.0  4.00   \n",
       "           Bloomingdale's                 1.0  4.000000       NaN  4.0  4.00   \n",
       "           Brighton Collectibles          5.0  1.000000  0.000000  1.0  1.00   \n",
       "           Bristol Farms                  2.0  0.000000  0.000000  0.0  0.00   \n",
       "           Camper                         2.0  2.000000  0.000000  2.0  2.00   \n",
       "           Club Monaco Women              2.0  1.000000  0.000000  1.0  1.00   \n",
       "           Cotton On                      7.0  2.000000  0.000000  2.0  2.00   \n",
       "           H&M Man                        1.0  2.000000       NaN  2.0  2.00   \n",
       "...                                       ...       ...       ...  ...   ...   \n",
       "Shopper_98 H&M Man                        1.0  2.000000       NaN  2.0  2.00   \n",
       "           Kate Spade New York            1.0  1.000000       NaN  1.0  1.00   \n",
       "           M.Y. China                     1.0  4.000000       NaN  4.0  4.00   \n",
       "           ProActiv Solutions            66.0  0.000000  0.000000  0.0  0.00   \n",
       "           Steve Madden                  21.0  3.000000  0.000000  3.0  3.00   \n",
       "           Swarovski                     49.0  1.000000  0.000000  1.0  1.00   \n",
       "           TAP 415                        1.0  4.000000       NaN  4.0  4.00   \n",
       "Shopper_99 49ers Team Store               2.0  1.500000  0.707107  1.0  1.25   \n",
       "           Adidas                         1.0  2.000000       NaN  2.0  2.00   \n",
       "           Bath & Body Works              1.0  3.000000       NaN  3.0  3.00   \n",
       "           Bespoke Events                 9.0  4.000000  0.000000  4.0  4.00   \n",
       "           Bloomingdale's                 5.0  2.800000  1.788854  0.0  2.00   \n",
       "           Brighton Collectibles          3.0  1.000000  0.000000  1.0  1.00   \n",
       "           Bristol Farms                  6.0  0.000000  0.000000  0.0  0.00   \n",
       "           Camper                         5.0  2.000000  0.000000  2.0  2.00   \n",
       "           Club Monaco Women              2.0  1.000000  0.000000  1.0  1.00   \n",
       "           Cotton On                     25.0  2.000000  0.000000  2.0  2.00   \n",
       "           H&M                            1.0  3.000000       NaN  3.0  3.00   \n",
       "           H&M Man                        9.0  2.000000  0.000000  2.0  2.00   \n",
       "           Janie And Jack                 3.0  1.000000  0.000000  1.0  1.00   \n",
       "           Kate Spade New York            3.0  1.000000  0.000000  1.0  1.00   \n",
       "           L'Occitane en Provence         5.0  1.000000  0.000000  1.0  1.00   \n",
       "           Lids                           1.0  3.000000       NaN  3.0  3.00   \n",
       "           M.Y. China                     1.0  4.000000       NaN  4.0  4.00   \n",
       "           ProActiv Solutions            51.0  0.000000  0.000000  0.0  0.00   \n",
       "           Steve Madden                   8.0  3.000000  0.000000  3.0  3.00   \n",
       "           Swarovski                     28.0  1.000000  0.000000  1.0  1.00   \n",
       "           Swatch                         2.0  1.000000  0.000000  1.0  1.00   \n",
       "           TAP 415                       18.0  4.000000  0.000000  4.0  4.00   \n",
       "           abercrombie kids               1.0  3.000000       NaN  3.0  3.00   \n",
       "\n",
       "                                                   \n",
       "                                   50%   75%  max  \n",
       "Shopper_ID Store_Name                              \n",
       "Shopper_1  49ers Team Store        2.0  2.00  2.0  \n",
       "           BOSS                    1.0  1.00  1.0  \n",
       "           Bespoke Events          4.0  4.00  4.0  \n",
       "           Bloomingdale's          1.0  2.00  4.0  \n",
       "           Bristol Farms           0.0  0.00  0.0  \n",
       "           Club Monaco Women       1.0  1.00  1.0  \n",
       "           Cotton On               2.0  2.00  2.0  \n",
       "           H&M                     3.0  3.00  3.0  \n",
       "           H&M Man                 2.0  2.00  2.0  \n",
       "           Janie And Jack          1.0  1.00  1.0  \n",
       "           Kate Spade New York     1.0  1.00  1.0  \n",
       "           M.Y. China              4.0  4.00  4.0  \n",
       "           ProActiv Solutions      0.0  0.00  0.0  \n",
       "           Sarku Japan             0.0  0.00  0.0  \n",
       "           Steve Madden            3.0  3.00  3.0  \n",
       "           Swarovski               1.0  1.00  1.0  \n",
       "           TAP 415                 4.0  4.00  4.0  \n",
       "           The Walking Company     3.0  3.00  3.0  \n",
       "           Tiffany & Co.           1.0  1.00  1.0  \n",
       "           abercrombie kids        3.0  3.00  3.0  \n",
       "Shopper_10 49ers Team Store        1.0  1.25  2.0  \n",
       "           Auntie Anne's Pretzels  2.0  2.00  2.0  \n",
       "           Bespoke Events          4.0  4.00  4.0  \n",
       "           Bloomingdale's          4.0  4.00  4.0  \n",
       "           Brighton Collectibles   1.0  1.00  1.0  \n",
       "           Bristol Farms           0.0  0.00  0.0  \n",
       "           Camper                  2.0  2.00  2.0  \n",
       "           Club Monaco Women       1.0  1.00  1.0  \n",
       "           Cotton On               2.0  2.00  2.0  \n",
       "           H&M Man                 2.0  2.00  2.0  \n",
       "...                                ...   ...  ...  \n",
       "Shopper_98 H&M Man                 2.0  2.00  2.0  \n",
       "           Kate Spade New York     1.0  1.00  1.0  \n",
       "           M.Y. China              4.0  4.00  4.0  \n",
       "           ProActiv Solutions      0.0  0.00  0.0  \n",
       "           Steve Madden            3.0  3.00  3.0  \n",
       "           Swarovski               1.0  1.00  1.0  \n",
       "           TAP 415                 4.0  4.00  4.0  \n",
       "Shopper_99 49ers Team Store        1.5  1.75  2.0  \n",
       "           Adidas                  2.0  2.00  2.0  \n",
       "           Bath & Body Works       3.0  3.00  3.0  \n",
       "           Bespoke Events          4.0  4.00  4.0  \n",
       "           Bloomingdale's          4.0  4.00  4.0  \n",
       "           Brighton Collectibles   1.0  1.00  1.0  \n",
       "           Bristol Farms           0.0  0.00  0.0  \n",
       "           Camper                  2.0  2.00  2.0  \n",
       "           Club Monaco Women       1.0  1.00  1.0  \n",
       "           Cotton On               2.0  2.00  2.0  \n",
       "           H&M                     3.0  3.00  3.0  \n",
       "           H&M Man                 2.0  2.00  2.0  \n",
       "           Janie And Jack          1.0  1.00  1.0  \n",
       "           Kate Spade New York     1.0  1.00  1.0  \n",
       "           L'Occitane en Provence  1.0  1.00  1.0  \n",
       "           Lids                    3.0  3.00  3.0  \n",
       "           M.Y. China              4.0  4.00  4.0  \n",
       "           ProActiv Solutions      0.0  0.00  0.0  \n",
       "           Steve Madden            3.0  3.00  3.0  \n",
       "           Swarovski               1.0  1.00  1.0  \n",
       "           Swatch                  1.0  1.00  1.0  \n",
       "           TAP 415                 4.0  4.00  4.0  \n",
       "           abercrombie kids        3.0  3.00  3.0  \n",
       "\n",
       "[8739 rows x 8 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visiting_info.drop(['longitude', 'latitude'], axis=1, inplace=True)\n",
    "visiting_info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#visiting_infodf.to_csv(r\"C:\\Users\\welcome\\Desktop\\visitinginfodf.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "#visiting_info.to_csv(r\"C:\\Users\\welcome\\Desktop\\visiting_info_final.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\welcome\\Anaconda2\\lib\\site-packages\\scipy\\stats\\stats.py:253: RuntimeWarning: The input array could not be properly checked for nan values. nan values will be ignored.\n",
      "  \"values. nan values will be ignored.\", RuntimeWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Shopper_ID\n",
       "Shopper_1            ([Bloomingdale's], [56])\n",
       "Shopper_10                  ([TAP 415], [83])\n",
       "Shopper_100     ([ProActiv Solutions ], [58])\n",
       "Shopper_101               ([Swarovski], [53])\n",
       "Shopper_102                ([TAP 415], [125])\n",
       "Shopper_103               ([Cotton On], [52])\n",
       "Shopper_104     ([ProActiv Solutions ], [71])\n",
       "Shopper_105     ([ProActiv Solutions ], [61])\n",
       "Shopper_106     ([ProActiv Solutions ], [63])\n",
       "Shopper_107     ([ProActiv Solutions ], [61])\n",
       "Shopper_108    ([ProActiv Solutions ], [105])\n",
       "Shopper_109          ([Bloomingdale's], [49])\n",
       "Shopper_11      ([ProActiv Solutions ], [72])\n",
       "Shopper_110     ([ProActiv Solutions ], [51])\n",
       "Shopper_111               ([Swarovski], [56])\n",
       "Shopper_112     ([ProActiv Solutions ], [77])\n",
       "Shopper_113     ([ProActiv Solutions ], [96])\n",
       "Shopper_114                 ([TAP 415], [90])\n",
       "Shopper_115               ([Cotton On], [55])\n",
       "Shopper_116                ([TAP 415], [167])\n",
       "Shopper_117    ([ProActiv Solutions ], [133])\n",
       "Shopper_118               ([Cotton On], [45])\n",
       "Shopper_119              ([Swarovski], [119])\n",
       "Shopper_12      ([ProActiv Solutions ], [22])\n",
       "Shopper_120               ([Swarovski], [59])\n",
       "Shopper_121     ([ProActiv Solutions ], [44])\n",
       "Shopper_122                 ([TAP 415], [49])\n",
       "Shopper_123               ([Swarovski], [77])\n",
       "Shopper_124     ([ProActiv Solutions ], [75])\n",
       "Shopper_125               ([Cotton On], [41])\n",
       "                            ...              \n",
       "Shopper_72                  ([TAP 415], [59])\n",
       "Shopper_73      ([ProActiv Solutions ], [53])\n",
       "Shopper_74      ([ProActiv Solutions ], [60])\n",
       "Shopper_75                ([Swarovski], [57])\n",
       "Shopper_76     ([ProActiv Solutions ], [116])\n",
       "Shopper_77                  ([TAP 415], [43])\n",
       "Shopper_78                ([Cotton On], [54])\n",
       "Shopper_79                ([Cotton On], [55])\n",
       "Shopper_8                 ([Swarovski], [57])\n",
       "Shopper_80      ([ProActiv Solutions ], [71])\n",
       "Shopper_81      ([ProActiv Solutions ], [46])\n",
       "Shopper_82                  ([TAP 415], [57])\n",
       "Shopper_83      ([ProActiv Solutions ], [57])\n",
       "Shopper_84                  ([TAP 415], [86])\n",
       "Shopper_85     ([ProActiv Solutions ], [107])\n",
       "Shopper_86      ([ProActiv Solutions ], [57])\n",
       "Shopper_87                  ([TAP 415], [38])\n",
       "Shopper_88                ([Swarovski], [46])\n",
       "Shopper_89      ([ProActiv Solutions ], [75])\n",
       "Shopper_9       ([ProActiv Solutions ], [73])\n",
       "Shopper_90                ([Swarovski], [68])\n",
       "Shopper_91      ([ProActiv Solutions ], [77])\n",
       "Shopper_92      ([ProActiv Solutions ], [71])\n",
       "Shopper_93                  ([TAP 415], [53])\n",
       "Shopper_94                ([Cotton On], [57])\n",
       "Shopper_95                ([Swarovski], [88])\n",
       "Shopper_96             ([Steve Madden], [39])\n",
       "Shopper_97           ([Bloomingdale's], [37])\n",
       "Shopper_98      ([ProActiv Solutions ], [66])\n",
       "Shopper_99      ([ProActiv Solutions ], [51])\n",
       "Name: Store_Name, Length: 567, dtype: object"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy import stats\n",
    "df_freq = visiting_infodf.groupby(by='Shopper_ID').Store_Name.apply(stats.mode)\n",
    "df_freq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Store_Name    ([TAP 415], [83])\n",
       "Name: Shopper_10, dtype: object"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_freq= df_freq.to_frame()\n",
    "df_freq.iloc[1,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([u\"Bloomingdale's\", u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'Swarovski', u'TAP 415', u'Cotton On', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u\"Bloomingdale's\",\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'TAP 415',\n",
       "       u'Cotton On', u'TAP 415', u'ProActiv Solutions ', u'Cotton On',\n",
       "       u'Swarovski', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u\"Bloomingdale's\",\n",
       "       u'Bristol Farms', u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'Swarovski', u'Cotton On', u'ProActiv Solutions ', u'TAP 415',\n",
       "       u'TAP 415', u'Cotton On', u'Cotton On', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u\"Bloomingdale's\", u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'Cotton On', u'ProActiv Solutions ', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Steve Madden', u'Cotton On',\n",
       "       u'Swarovski', u'Swarovski', u'Swarovski', u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'ProActiv Solutions ',\n",
       "       u'Cotton On', u'ProActiv Solutions ', u'Cotton On', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u\"Bloomingdale's\",\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u\"Bloomingdale's\",\n",
       "       u'Swarovski', u\"Bloomingdale's\", u'ProActiv Solutions ',\n",
       "       u'TAP 415', u'ProActiv Solutions ', u'TAP 415', u'Swarovski',\n",
       "       u'Swarovski', u'Swarovski', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u'Swarovski', u'Cotton On', u'ProActiv Solutions ',\n",
       "       u\"Bloomingdale's\", u\"Bloomingdale's\", u'TAP 415', u'Swarovski',\n",
       "       u\"Bloomingdale's\", u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'TAP 415', u'TAP 415', u'ProActiv Solutions ', u'Cotton On',\n",
       "       u\"Bloomingdale's\", u'Swarovski', u\"Bloomingdale's\",\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'Swarovski', u'Swarovski', u'ProActiv Solutions ', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u'Cotton On', u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'Swarovski', u'TAP 415', u'Cotton On', u'ProActiv Solutions ',\n",
       "       u'Cotton On', u'TAP 415', u'ProActiv Solutions ', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u'Cotton On', u\"Bloomingdale's\", u'ProActiv Solutions ',\n",
       "       u'Cotton On', u'Swarovski', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u\"Bloomingdale's\", u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'Swarovski', u'Cotton On', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u\"Bloomingdale's\",\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'TAP 415',\n",
       "       u\"Bloomingdale's\", u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'Swarovski', u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'TAP 415', u'TAP 415', u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'Cotton On', u'Cotton On', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'Cotton On', u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'ProActiv Solutions ',\n",
       "       u'TAP 415', u'Cotton On', u'ProActiv Solutions ', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'Swarovski', u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'Cotton On', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u'Steve Madden', u\"Bloomingdale's\", u'Steve Madden', u'Cotton On',\n",
       "       u'TAP 415', u'Steve Madden', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'Cotton On', u'TAP 415',\n",
       "       u'Swarovski', u'Swarovski', u'Steve Madden',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Bristol Farms',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Bristol Farms', u'ProActiv Solutions ',\n",
       "       u'Cotton On', u'ProActiv Solutions ', u'Steve Madden',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u\"Bloomingdale's\", u'ProActiv Solutions ', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'Steve Madden', u'ProActiv Solutions ', u\"Bloomingdale's\",\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u'Swarovski', u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u'Swarovski', u'ProActiv Solutions ', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'Steve Madden', u'ProActiv Solutions ',\n",
       "       u'Cotton On', u'Cotton On', u'Cotton On', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'Cotton On', u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'TAP 415',\n",
       "       u'Swarovski', u'Steve Madden', u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'Steve Madden', u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u\"Bloomingdale's\", u'ProActiv Solutions ',\n",
       "       u'Cotton On', u'Swarovski', u'Cotton On', u'Bristol Farms',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u'Steve Madden',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Cotton On',\n",
       "       u'Swarovski', u\"Bloomingdale's\", u'Swarovski', u'Swarovski',\n",
       "       u'Swarovski', u'Cotton On', u'Cotton On', u'ProActiv Solutions ',\n",
       "       u'Swarovski', u'Cotton On', u'ProActiv Solutions ', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u\"Bloomingdale's\",\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'Marbles: The Brain Store',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'Steve Madden', u'ProActiv Solutions ',\n",
       "       u'Steve Madden', u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'Cotton On', u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'Cotton On', u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Bristol Farms', u'ProActiv Solutions ',\n",
       "       u'TAP 415', u'Swarovski', u'Swarovski', u'Steve Madden',\n",
       "       u'Swarovski', u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Steve Madden', u'Swarovski', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u'Swarovski', u'TAP 415',\n",
       "       u'TAP 415', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Steve Madden', u'ProActiv Solutions ',\n",
       "       u'TAP 415', u'ProActiv Solutions ', u'TAP 415', u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'Cotton On', u'ProActiv Solutions ', u'Steve Madden',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'TAP 415', u'ProActiv Solutions ', u'TAP 415', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'Cotton On', u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'Steve Madden', u'ProActiv Solutions ', u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'Swarovski', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u\"Bloomingdale's\", u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'Bristol Farms', u'ProActiv Solutions ',\n",
       "       u'Steve Madden', u'ProActiv Solutions ', u'TAP 415', u'Cotton On',\n",
       "       u'Swarovski', u'ProActiv Solutions ', u'TAP 415', u'TAP 415',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u\"Bloomingdale's\", u'Swarovski',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'Cotton On',\n",
       "       u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Cotton On', u'Bristol Farms',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'TAP 415', u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'Swarovski', u'ProActiv Solutions ', u'TAP 415', u'Cotton On',\n",
       "       u'Cotton On', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u'ProActiv Solutions ',\n",
       "       u'TAP 415', u'ProActiv Solutions ', u'ProActiv Solutions ',\n",
       "       u'TAP 415', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'Swarovski', u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions ', u'TAP 415', u'Cotton On', u'Swarovski',\n",
       "       u'Steve Madden', u\"Bloomingdale's\", u'ProActiv Solutions ',\n",
       "       u'ProActiv Solutions '], dtype=object)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mostvisitedshoplist= []\n",
    "for shop in df_freq['Store_Name']:\n",
    "    mostvisitedshoplist.append(shop[0][0])\n",
    "mostvisitedshop_array= np.array(mostvisitedshoplist)\n",
    "mostvisitedshop_array.astype(object)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Store_Name</th>\n",
       "      <th>New_Store</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Shopper_1</th>\n",
       "      <td>([Bloomingdale's], [56])</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_10</th>\n",
       "      <td>([TAP 415], [83])</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_100</th>\n",
       "      <td>([ProActiv Solutions ], [58])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_101</th>\n",
       "      <td>([Swarovski], [53])</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_102</th>\n",
       "      <td>([TAP 415], [125])</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                Store_Name            New_Store\n",
       "Shopper_ID                                                     \n",
       "Shopper_1         ([Bloomingdale's], [56])       Bloomingdale's\n",
       "Shopper_10               ([TAP 415], [83])              TAP 415\n",
       "Shopper_100  ([ProActiv Solutions ], [58])  ProActiv Solutions \n",
       "Shopper_101            ([Swarovski], [53])            Swarovski\n",
       "Shopper_102             ([TAP 415], [125])              TAP 415"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_freq['New_Store']= mostvisitedshop_array\n",
    "df_freq.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_freq.to_csv(r\"C:\\Users\\welcome\\Desktop\\exl_round1_final.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Shopper_ID</th>\n",
       "      <th>Floor_Index</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>Store_Category_visited</th>\n",
       "      <th>Store_Category_visited2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661463</td>\n",
       "      <td>-122.298673</td>\n",
       "      <td>Burke Williams Day Spa</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784062</td>\n",
       "      <td>-122.406943</td>\n",
       "      <td>Michael Kors Men</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784361</td>\n",
       "      <td>-122.406710</td>\n",
       "      <td>Burke Williams Day Spa</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784341</td>\n",
       "      <td>-122.406891</td>\n",
       "      <td>DAVIDsTEA</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784017</td>\n",
       "      <td>-122.407307</td>\n",
       "      <td>Auntie Anne's Pretzels</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Shopper_ID  Floor_Index   latitude   longitude  Store_Category_visited  \\\n",
       "0  Shopper_556            4  37.661463 -122.298673  Burke Williams Day Spa   \n",
       "1  Shopper_556            1  37.784062 -122.406943        Michael Kors Men   \n",
       "2  Shopper_556            4  37.784361 -122.406710  Burke Williams Day Spa   \n",
       "3  Shopper_360            0  37.784341 -122.406891               DAVIDsTEA   \n",
       "4  Shopper_360            2  37.784017 -122.407307  Auntie Anne's Pretzels   \n",
       "\n",
       "  Store_Category_visited2  \n",
       "0                 TAP 415  \n",
       "1               Swarovski  \n",
       "2                 TAP 415  \n",
       "3     ProActiv Solutions   \n",
       "4               Cotton On  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pinginfo.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Shopper_ID</th>\n",
       "      <th>Floor_Index</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>Store_Name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661463</td>\n",
       "      <td>-122.298673</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784062</td>\n",
       "      <td>-122.406943</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784361</td>\n",
       "      <td>-122.406710</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784341</td>\n",
       "      <td>-122.406891</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784017</td>\n",
       "      <td>-122.407307</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Shopper_ID  Floor_Index   latitude   longitude           Store_Name\n",
       "0  Shopper_556            4  37.661463 -122.298673              TAP 415\n",
       "1  Shopper_556            1  37.784062 -122.406943            Swarovski\n",
       "2  Shopper_556            4  37.784361 -122.406710              TAP 415\n",
       "3  Shopper_360            0  37.784341 -122.406891  ProActiv Solutions \n",
       "4  Shopper_360            2  37.784017 -122.407307            Cotton On"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visiting_infodf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Store_Name Broad_Category    Fine_Category\n",
       "0      Amazon Pop-Up         Retail            Misc.\n",
       "1     Bespoke Events         Retail            Misc.\n",
       "2  Bespoke Coworking         Retail  Specialty Store\n",
       "3              Dyson         Retail            Misc.\n",
       "4   Penhaligonï¿½Ûªs         Retail            Misc."
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categorymapping.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "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": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for stores, category in zip(categorymapping['Store_Name'], categorymapping['Fine_Category']):\n",
    "    store_and_category_mapping = dict(zip(categorymapping['Store_Name'], categorymapping['Fine_Category']))\n",
    "store_and_category_mapping    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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_Index</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>Store_Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Jamba Juice</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784091</td>\n",
       "      <td>-122.406813</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Coriander Gourmet Thai</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784596</td>\n",
       "      <td>-122.406210</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>NYS Collection</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784396</td>\n",
       "      <td>-122.406587</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hallmark</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783771</td>\n",
       "      <td>-122.407377</td>\n",
       "      <td>Office Supply Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sorabol Korean BBQ &amp; Asian Noodles</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784601</td>\n",
       "      <td>-122.406328</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Store_Name  Floor_Index   latitude   longitude  \\\n",
       "0                         Jamba Juice            0  37.784091 -122.406813   \n",
       "1              Coriander Gourmet Thai            0  37.784596 -122.406210   \n",
       "2                      NYS Collection            0  37.784396 -122.406587   \n",
       "3                            Hallmark            0  37.783771 -122.407377   \n",
       "4  Sorabol Korean BBQ & Asian Noodles            0  37.784601 -122.406328   \n",
       "\n",
       "            Store_Category  \n",
       "0          Qsr Restaurants  \n",
       "1          Qsr Restaurants  \n",
       "2  Apparel And Accessories  \n",
       "3     Office Supply Stores  \n",
       "4          Qsr Restaurants  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "storemap['Store_Category'] = storemap['Store_Name'].map(store_and_category_mapping).astype(object)\n",
    "storemap.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[   0.      ,   37.784091, -122.406813],\n",
       "       [   0.      ,   37.784596, -122.40621 ],\n",
       "       [   0.      ,   37.784396, -122.406587],\n",
       "       [   0.      ,   37.783771, -122.407377],\n",
       "       [   0.      ,   37.784601, -122.406328],\n",
       "       [   0.      ,   37.784534, -122.406025],\n",
       "       [   0.      ,   37.783944, -122.407537],\n",
       "       [   0.      ,   37.784447, -122.406224],\n",
       "       [   0.      ,   37.784161, -122.4069  ],\n",
       "       [   0.      ,   37.784808, -122.406501],\n",
       "       [   0.      ,   37.784569, -122.406141],\n",
       "       [   0.      ,   37.78467 , -122.406679],\n",
       "       [   0.      ,   37.784126, -122.407061],\n",
       "       [   0.      ,   37.784159, -122.40635 ],\n",
       "       [   0.      ,   37.783959, -122.40691 ],\n",
       "       [   0.      ,   37.784411, -122.406709],\n",
       "       [   0.      ,   37.784511, -122.405956],\n",
       "       [   0.      ,   37.784071, -122.406885],\n",
       "       [   0.      ,   37.784591, -122.406782],\n",
       "       [   0.      ,   37.783778, -122.407161],\n",
       "       [   0.      ,   37.784053, -122.407307],\n",
       "       [   0.      ,   37.783893, -122.407389],\n",
       "       [   0.      ,   37.784222, -122.406978],\n",
       "       [   0.      ,   37.783953, -122.407318],\n",
       "       [   0.      ,   37.784505, -122.406555],\n",
       "       [   0.      ,   37.783767, -122.40707 ],\n",
       "       [   0.      ,   37.784106, -122.407189],\n",
       "       [   0.      ,   37.784292, -122.40601 ],\n",
       "       [   0.      ,   37.784449, -122.406665],\n",
       "       [   0.      ,   37.784353, -122.406773],\n",
       "       [   0.      ,   37.784294, -122.406164],\n",
       "       [   0.      ,   37.78432 , -122.406195],\n",
       "       [   0.      ,   37.783944, -122.407175],\n",
       "       [   0.      ,   37.783831, -122.406941],\n",
       "       [   0.      ,   37.784312, -122.405822],\n",
       "       [   0.      ,   37.783887, -122.405783],\n",
       "       [   0.      ,   37.784208, -122.40743 ],\n",
       "       [   0.      ,   37.784505, -122.406399],\n",
       "       [   0.      ,   37.784625, -122.406417],\n",
       "       [   0.      ,   37.784123, -122.40695 ],\n",
       "       [   0.      ,   37.78413 , -122.407374],\n",
       "       [   0.      ,   37.784037, -122.406937],\n",
       "       [   0.      ,   37.784457, -122.406819],\n",
       "       [   0.      ,   37.784415, -122.405846],\n",
       "       [   0.      ,   37.784116, -122.407124],\n",
       "       [   0.      ,   37.784157, -122.405925],\n",
       "       [   0.      ,   37.784094, -122.407625],\n",
       "       [   0.      ,   37.783791, -122.406984],\n",
       "       [   1.      ,   37.78379 , -122.40747 ],\n",
       "       [   1.      ,   37.784615, -122.406332],\n",
       "       [   1.      ,   37.78402 , -122.405965],\n",
       "       [   1.      ,   37.784179, -122.406865],\n",
       "       [   1.      ,   37.784142, -122.40704 ],\n",
       "       [   1.      ,   37.784453, -122.406443],\n",
       "       [   1.      ,   37.784033, -122.406896],\n",
       "       [   1.      ,   37.784267, -122.406579],\n",
       "       [   1.      ,   37.784296, -122.406519],\n",
       "       [   1.      ,   37.784464, -122.406181],\n",
       "       [   1.      ,   37.784195, -122.40696 ],\n",
       "       [   1.      ,   37.784221, -122.406652],\n",
       "       [   1.      ,   37.784776, -122.406643],\n",
       "       [   1.      ,   37.784527, -122.406296],\n",
       "       [   1.      ,   37.78367 , -122.407313],\n",
       "       [   1.      ,   37.783731, -122.407122],\n",
       "       [   1.      ,   37.783976, -122.406906],\n",
       "       [   1.      ,   37.784613, -122.406467],\n",
       "       [   1.      ,   37.78398 , -122.407454],\n",
       "       [   1.      ,   37.784714, -122.406476],\n",
       "       [   1.      ,   37.78409 , -122.406835],\n",
       "       [   1.      ,   37.784503, -122.406813],\n",
       "       [   1.      ,   37.784112, -122.406949],\n",
       "       [   1.      ,   37.784884, -122.406486],\n",
       "       [   1.      ,   37.78461 , -122.406886],\n",
       "       [   1.      ,   37.784466, -122.406961],\n",
       "       [   1.      ,   37.78447 , -122.40676 ],\n",
       "       [   1.      ,   37.78373 , -122.407061],\n",
       "       [   1.      ,   37.783909, -122.407393],\n",
       "       [   1.      ,   37.78381 , -122.407336],\n",
       "       [   1.      ,   37.783864, -122.406836],\n",
       "       [   1.      ,   37.784188, -122.407159],\n",
       "       [   1.      ,   37.783827, -122.407024],\n",
       "       [   1.      ,   37.784047, -122.407035],\n",
       "       [   1.      ,   37.784397, -122.406148],\n",
       "       [   1.      ,   37.784185, -122.406379],\n",
       "       [   1.      ,   37.784396, -122.406726],\n",
       "       [   2.      ,   37.784579, -122.406476],\n",
       "       [   2.      ,   37.783744, -122.407323],\n",
       "       [   2.      ,   37.784515, -122.406218],\n",
       "       [   2.      ,   37.784024, -122.407272],\n",
       "       [   2.      ,   37.784139, -122.407183],\n",
       "       [   2.      ,   37.784341, -122.406785],\n",
       "       [   2.      ,   37.784559, -122.40627 ],\n",
       "       [   2.      ,   37.784136, -122.405805],\n",
       "       [   2.      ,   37.784705, -122.406568],\n",
       "       [   2.      ,   37.784142, -122.40742 ],\n",
       "       [   2.      ,   37.784267, -122.406528],\n",
       "       [   2.      ,   37.784046, -122.406884],\n",
       "       [   2.      ,   37.784252, -122.406942],\n",
       "       [   2.      ,   37.784387, -122.406732],\n",
       "       [   2.      ,   37.783739, -122.407271],\n",
       "       [   2.      ,   37.783745, -122.407149],\n",
       "       [   2.      ,   37.784385, -122.406276],\n",
       "       [   2.      ,   37.784195, -122.407081],\n",
       "       [   2.      ,   37.784433, -122.40608 ],\n",
       "       [   2.      ,   37.784031, -122.406181],\n",
       "       [   2.      ,   37.783852, -122.405805],\n",
       "       [   2.      ,   37.783931, -122.406086],\n",
       "       [   2.      ,   37.784484, -122.406502],\n",
       "       [   2.      ,   37.783724, -122.406893],\n",
       "       [   2.      ,   37.784555, -122.406814],\n",
       "       [   2.      ,   37.783832, -122.407021],\n",
       "       [   2.      ,   37.783954, -122.407507],\n",
       "       [   2.      ,   37.784185, -122.406432],\n",
       "       [   2.      ,   37.783864, -122.406924],\n",
       "       [   2.      ,   37.783946, -122.406796],\n",
       "       [   2.      ,   37.784316, -122.40656 ],\n",
       "       [   2.      ,   37.784172, -122.406733],\n",
       "       [   2.      ,   37.784271, -122.406619],\n",
       "       [   2.      ,   37.784286, -122.406001],\n",
       "       [   3.      ,   37.784042, -122.406901],\n",
       "       [   3.      ,   37.783629, -122.407154],\n",
       "       [   3.      ,   37.783741, -122.406902],\n",
       "       [   3.      ,   37.784628, -122.406187],\n",
       "       [   3.      ,   37.78435 , -122.406064],\n",
       "       [   3.      ,   37.784105, -122.406326],\n",
       "       [   3.      ,   37.784615, -122.406862],\n",
       "       [   3.      ,   37.784428, -122.406643],\n",
       "       [   3.      ,   37.784447, -122.406809],\n",
       "       [   3.      ,   37.783986, -122.406922],\n",
       "       [   3.      ,   37.783839, -122.406836],\n",
       "       [   3.      ,   37.783812, -122.406021],\n",
       "       [   3.      ,   37.784133, -122.407419],\n",
       "       [   3.      ,   37.783752, -122.407371],\n",
       "       [   3.      ,   37.78429 , -122.406561],\n",
       "       [   3.      ,   37.783737, -122.407253],\n",
       "       [   3.      ,   37.78424 , -122.406455],\n",
       "       [   3.      ,   37.784101, -122.406854],\n",
       "       [   3.      ,   37.783871, -122.407073],\n",
       "       [   3.      ,   37.784153, -122.405871],\n",
       "       [   3.      ,   37.783745, -122.405601],\n",
       "       [   3.      ,   37.784191, -122.407111],\n",
       "       [   3.      ,   37.784267, -122.405933],\n",
       "       [   3.      ,   37.784386, -122.406589],\n",
       "       [   3.      ,   37.78454 , -122.406132],\n",
       "       [   3.      ,   37.783912, -122.407474],\n",
       "       [   3.      ,   37.784663, -122.406313],\n",
       "       [   3.      ,   37.784135, -122.406406],\n",
       "       [   3.      ,   37.783957, -122.406249],\n",
       "       [   3.      ,   37.783814, -122.407399],\n",
       "       [   3.      ,   37.784197, -122.40698 ],\n",
       "       [   3.      ,   37.784701, -122.406758],\n",
       "       [   3.      ,   37.78436 , -122.406786],\n",
       "       [   4.      ,   37.78442 , -122.406832],\n",
       "       [   4.      ,   37.784702, -122.406248],\n",
       "       [   4.      ,   37.784206, -122.406528],\n",
       "       [   4.      ,   37.784178, -122.405776],\n",
       "       [   4.      ,   37.783859, -122.40635 ],\n",
       "       [   4.      ,   37.784539, -122.406081],\n",
       "       [   4.      ,   37.78382 , -122.407311],\n",
       "       [   4.      ,   37.783802, -122.405736],\n",
       "       [   5.      ,   37.784076, -122.407307],\n",
       "       [   5.      ,   37.78389 , -122.405736],\n",
       "       [   5.      ,   37.784204, -122.406574],\n",
       "       [   6.      ,   37.78409 , -122.407309],\n",
       "       [   7.      ,   37.784073, -122.407289],\n",
       "       [   8.      ,   37.784087, -122.407307]])"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X2 = storemap.drop(['Store_Name', 'Store_Category'], axis=1).as_matrix().astype(np.float)\n",
    "X2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-1.08827864e+00, -3.44149111e-01, -2.21927721e-01],\n",
       "       [-1.08827864e+00,  1.40158609e+00,  1.04342435e+00],\n",
       "       [-1.08827864e+00,  7.10205813e-01,  2.52317003e-01],\n",
       "       [-1.08827864e+00, -1.45035756e+00, -1.40544110e+00],\n",
       "       [-1.08827864e+00,  1.41887060e+00,  7.95809851e-01],\n",
       "       [-1.08827864e+00,  1.18725820e+00,  1.43163353e+00],\n",
       "       [-1.08827864e+00, -8.52313615e-01, -1.74118958e+00],\n",
       "       [-1.08827864e+00,  8.86507784e-01,  1.01404636e+00],\n",
       "       [-1.08827864e+00, -1.02166013e-01, -4.04490955e-01],\n",
       "       [-1.08827864e+00,  2.13444919e+00,  4.32781810e-01],\n",
       "       [-1.08827864e+00,  1.30824975e+00,  1.18821588e+00],\n",
       "       [-1.08827864e+00,  1.65739679e+00,  5.92616288e-02],\n",
       "       [-1.08827864e+00, -2.23157562e-01, -7.42337861e-01],\n",
       "       [-1.08827864e+00, -1.09079816e-01,  7.49644435e-01],\n",
       "       [-1.08827864e+00, -8.00460094e-01, -4.25475235e-01],\n",
       "       [-1.08827864e+00,  7.62059334e-01, -3.69121068e-03],\n",
       "       [-1.08827864e+00,  1.10774947e+00,  1.57642506e+00],\n",
       "       [-1.08827864e+00, -4.13287138e-01, -3.73014536e-01],\n",
       "       [-1.08827864e+00,  1.38430158e+00, -1.56876453e-01],\n",
       "       [-1.08827864e+00, -1.42615925e+00, -9.52180659e-01],\n",
       "       [-1.08827864e+00, -4.75511363e-01, -1.25855114e+00],\n",
       "       [-1.08827864e+00, -1.02861559e+00, -1.43062224e+00],\n",
       "       [-1.08827864e+00,  1.08704971e-01, -5.68168338e-01],\n",
       "       [-1.08827864e+00, -8.21201502e-01, -1.28163385e+00],\n",
       "       [-1.08827864e+00,  1.08700806e+00,  3.19466699e-01],\n",
       "       [-1.08827864e+00, -1.46418516e+00, -7.61223712e-01],\n",
       "       [-1.08827864e+00, -2.92295590e-01, -1.01093664e+00],\n",
       "       [-1.08827864e+00,  3.50688069e-01,  1.46310995e+00],\n",
       "       [-1.08827864e+00,  8.93421587e-01,  8.86396206e-02],\n",
       "       [-1.08827864e+00,  5.61559053e-01, -1.37990602e-01],\n",
       "       [-1.08827864e+00,  3.57601871e-01,  1.13995204e+00],\n",
       "       [-1.08827864e+00,  4.47481308e-01,  1.07490077e+00],\n",
       "       [-1.08827864e+00, -8.52313615e-01, -9.81558651e-01],\n",
       "       [-1.08827864e+00, -1.24294347e+00, -4.90526503e-01],\n",
       "       [-1.08827864e+00,  4.19826096e-01,  1.85761441e+00],\n",
       "       [-1.08827864e+00, -1.04935699e+00,  1.93945310e+00],\n",
       "       [-1.08827864e+00,  6.03083520e-02, -1.51665779e+00],\n",
       "       [-1.08827864e+00,  1.08700806e+00,  6.46821464e-01],\n",
       "       [-1.08827864e+00,  1.50183623e+00,  6.09049760e-01],\n",
       "       [-1.08827864e+00, -2.33528266e-01, -5.09412354e-01],\n",
       "       [-1.08827864e+00, -2.09329956e-01, -1.39914582e+00],\n",
       "       [-1.08827864e+00, -5.30821786e-01, -4.82132791e-01],\n",
       "       [-1.08827864e+00,  9.21076798e-01, -2.34518289e-01],\n",
       "       [-1.08827864e+00,  7.75886940e-01,  1.80725214e+00],\n",
       "       [-1.08827864e+00, -2.57726576e-01, -8.74538823e-01],\n",
       "       [-1.08827864e+00, -1.15993619e-01,  1.64147633e+00],\n",
       "       [-1.08827864e+00, -3.33778406e-01, -1.92585124e+00],\n",
       "       [-1.08827864e+00, -1.38121953e+00, -5.80758906e-01],\n",
       "       [-4.24108586e-01, -1.38467643e+00, -1.60059491e+00],\n",
       "       [-4.24108586e-01,  1.46726722e+00,  7.87416139e-01],\n",
       "       [-4.24108586e-01, -5.89589109e-01,  1.55753921e+00],\n",
       "       [-4.24108586e-01, -3.99417883e-02, -3.31045976e-01],\n",
       "       [-4.24108586e-01, -1.67847140e-01, -6.98270873e-01],\n",
       "       [-4.24108586e-01,  9.07249192e-01,  5.54490633e-01],\n",
       "       [-4.24108586e-01, -5.44649391e-01, -3.96097243e-01],\n",
       "       [-4.24108586e-01,  2.64265534e-01,  2.69104427e-01],\n",
       "       [-4.24108586e-01,  3.64515674e-01,  3.95010106e-01],\n",
       "       [-4.24108586e-01,  9.45275108e-01,  1.10427876e+00],\n",
       "       [-4.24108586e-01,  1.53686339e-02, -5.30396634e-01],\n",
       "       [-4.24108586e-01,  1.05248070e-01,  1.15919184e-01],\n",
       "       [-4.24108586e-01,  2.02382834e+00,  1.34805036e-01],\n",
       "       [-4.24108586e-01,  1.16305990e+00,  8.62959546e-01],\n",
       "       [-4.24108586e-01, -1.79950460e+00, -1.27114171e+00],\n",
       "       [-4.24108586e-01, -1.58863361e+00, -8.70341967e-01],\n",
       "       [-4.24108586e-01, -7.41692770e-01, -4.17081523e-01],\n",
       "       [-4.24108586e-01,  1.46035341e+00,  5.04128361e-01],\n",
       "       [-4.24108586e-01, -7.27865165e-01, -1.56702006e+00],\n",
       "       [-4.24108586e-01,  1.80950046e+00,  4.85242509e-01],\n",
       "       [-4.24108586e-01, -3.47606012e-01, -2.68093136e-01],\n",
       "       [-4.24108586e-01,  1.08009426e+00, -2.21927721e-01],\n",
       "       [-4.24108586e-01, -2.71554181e-01, -5.07313926e-01],\n",
       "       [-4.24108586e-01,  2.39717369e+00,  4.64258229e-01],\n",
       "       [-4.24108586e-01,  1.44998271e+00, -3.75112964e-01],\n",
       "       [-4.24108586e-01,  9.52188910e-01, -5.32495062e-01],\n",
       "       [-4.24108586e-01,  9.66016516e-01, -1.10711038e-01],\n",
       "       [-4.24108586e-01, -1.59209051e+00, -7.42337861e-01],\n",
       "       [-4.24108586e-01, -9.73305163e-01, -1.43901595e+00],\n",
       "       [-4.24108586e-01, -1.31553840e+00, -1.31940556e+00],\n",
       "       [-4.24108586e-01, -1.12886573e+00, -2.70191564e-01],\n",
       "       [-4.24108586e-01, -8.82967582e-03, -9.47983803e-01],\n",
       "       [-4.24108586e-01, -1.25677108e+00, -6.64696025e-01],\n",
       "       [-4.24108586e-01, -4.96252772e-01, -6.87778733e-01],\n",
       "       [-4.24108586e-01,  7.13662715e-01,  1.17352689e+00],\n",
       "       [-4.24108586e-01, -1.92003800e-02,  6.88790024e-01],\n",
       "       [-4.24108586e-01,  7.10205813e-01, -3.93644864e-02],\n",
       "       [ 2.40061464e-01,  1.34281877e+00,  4.85242509e-01],\n",
       "       [ 2.40061464e-01, -1.54369389e+00, -1.29212599e+00],\n",
       "       [ 2.40061464e-01,  1.12157708e+00,  1.02663693e+00],\n",
       "       [ 2.40061464e-01, -5.75761504e-01, -1.18510616e+00],\n",
       "       [ 2.40061464e-01, -1.78217844e-01, -9.98346074e-01],\n",
       "       [ 2.40061464e-01,  5.20076237e-01, -1.63171737e-01],\n",
       "       [ 2.40061464e-01,  1.27368074e+00,  9.17518674e-01],\n",
       "       [ 2.40061464e-01, -1.88588548e-01,  1.89328769e+00],\n",
       "       [ 2.40061464e-01,  1.77838834e+00,  2.92187135e-01],\n",
       "       [ 2.40061464e-01, -1.67847140e-01, -1.49567351e+00],\n",
       "       [ 2.40061464e-01,  2.64265534e-01,  3.76124254e-01],\n",
       "       [ 2.40061464e-01, -4.99709673e-01, -3.70916108e-01],\n",
       "       [ 2.40061464e-01,  2.12412013e-01, -4.92624931e-01],\n",
       "       [ 2.40061464e-01,  6.79093701e-01, -5.19550543e-02],\n",
       "       [ 2.40061464e-01, -1.56097840e+00, -1.18300774e+00],\n",
       "       [ 2.40061464e-01, -1.54023699e+00, -9.26999523e-01],\n",
       "       [ 2.40061464e-01,  6.72179898e-01,  9.04928106e-01],\n",
       "       [ 2.40061464e-01,  1.53686339e-02, -7.84306420e-01],\n",
       "       [ 2.40061464e-01,  8.38111165e-01,  1.31621999e+00],\n",
       "       [ 2.40061464e-01, -5.51563194e-01,  1.10427876e+00],\n",
       "       [ 2.40061464e-01, -1.17034854e+00,  1.89328769e+00],\n",
       "       [ 2.40061464e-01, -8.97253333e-01,  1.30362942e+00],\n",
       "       [ 2.40061464e-01,  1.01441314e+00,  4.30683382e-01],\n",
       "       [ 2.40061464e-01, -1.61283192e+00, -3.89801959e-01],\n",
       "       [ 2.40061464e-01,  1.25985313e+00, -2.24026149e-01],\n",
       "       [ 2.40061464e-01, -1.23948657e+00, -6.58400741e-01],\n",
       "       [ 2.40061464e-01, -8.17744601e-01, -1.67823674e+00],\n",
       "       [ 2.40061464e-01, -1.92003800e-02,  5.77573341e-01],\n",
       "       [ 2.40061464e-01, -1.12886573e+00, -4.54853227e-01],\n",
       "       [ 2.40061464e-01, -8.45399812e-01, -1.86254445e-01],\n",
       "       [ 2.40061464e-01,  4.33653702e-01,  3.08974559e-01],\n",
       "       [ 2.40061464e-01, -6.41400981e-02, -5.40534823e-02],\n",
       "       [ 2.40061464e-01,  2.78093139e-01,  1.85167308e-01],\n",
       "       [ 2.40061464e-01,  3.29946660e-01,  1.48199580e+00],\n",
       "       [ 9.04231513e-01, -5.13537279e-01, -4.06589383e-01],\n",
       "       [ 9.04231513e-01, -1.94123755e+00, -9.37491663e-01],\n",
       "       [ 9.04231513e-01, -1.55406460e+00, -4.08687811e-01],\n",
       "       [ 9.04231513e-01,  1.51220694e+00,  1.09168820e+00],\n",
       "       [ 9.04231513e-01,  5.51188349e-01,  1.34979484e+00],\n",
       "       [ 9.04231513e-01, -2.95752491e-01,  8.00006707e-01],\n",
       "       [ 9.04231513e-01,  1.46726722e+00, -3.24750692e-01],\n",
       "       [ 9.04231513e-01,  8.20826658e-01,  1.34805036e-01],\n",
       "       [ 9.04231513e-01,  8.86507784e-01, -2.13534009e-01],\n",
       "       [ 9.04231513e-01, -7.07123756e-01, -4.50656371e-01],\n",
       "       [ 9.04231513e-01, -1.21528826e+00, -2.70191564e-01],\n",
       "       [ 9.04231513e-01, -1.30862460e+00,  1.44002724e+00],\n",
       "       [ 9.04231513e-01, -1.98959252e-01, -1.49357508e+00],\n",
       "       [ 9.04231513e-01, -1.51603868e+00, -1.39285054e+00],\n",
       "       [ 9.04231513e-01,  3.43774266e-01,  3.06876131e-01],\n",
       "       [ 9.04231513e-01, -1.56789220e+00, -1.14523603e+00],\n",
       "       [ 9.04231513e-01,  1.70929196e-01,  5.29309497e-01],\n",
       "       [ 9.04231513e-01, -3.09580097e-01, -3.07963268e-01],\n",
       "       [ 9.04231513e-01, -1.10466742e+00, -7.67518996e-01],\n",
       "       [ 9.04231513e-01, -1.29821224e-01,  1.75479144e+00],\n",
       "       [ 9.04231513e-01, -1.54023699e+00,  2.32136699e+00],\n",
       "       [ 9.04231513e-01,  1.54102834e-03, -8.47259260e-01],\n",
       "       [ 9.04231513e-01,  2.64265534e-01,  1.62468890e+00],\n",
       "       [ 9.04231513e-01,  6.75636799e-01,  2.48120147e-01],\n",
       "       [ 9.04231513e-01,  1.20799961e+00,  1.20710174e+00],\n",
       "       [ 9.04231513e-01, -9.62934459e-01, -1.60898862e+00],\n",
       "       [ 9.04231513e-01,  1.63319848e+00,  8.27286270e-01],\n",
       "       [ 9.04231513e-01, -1.92045449e-01,  6.32132468e-01],\n",
       "       [ 9.04231513e-01, -8.07373897e-01,  9.61585661e-01],\n",
       "       [ 9.04231513e-01, -1.30171080e+00, -1.45160652e+00],\n",
       "       [ 9.04231513e-01,  2.22824367e-02, -5.72365194e-01],\n",
       "       [ 9.04231513e-01,  1.76456074e+00, -1.06514182e-01],\n",
       "       [ 9.04231513e-01,  5.85757363e-01, -1.65270165e-01],\n",
       "       [ 1.56840156e+00,  7.93171447e-01, -2.61797853e-01],\n",
       "       [ 1.56840156e+00,  1.76801764e+00,  9.63684089e-01],\n",
       "       [ 1.56840156e+00,  5.33945492e-02,  3.76124254e-01],\n",
       "       [ 1.56840156e+00, -4.33986897e-02,  1.95414210e+00],\n",
       "       [ 1.56840156e+00, -1.14615023e+00,  7.49644435e-01],\n",
       "       [ 1.56840156e+00,  1.20454271e+00,  1.31412156e+00],\n",
       "       [ 1.56840156e+00, -1.28096939e+00, -1.26694486e+00],\n",
       "       [ 1.56840156e+00, -1.34319361e+00,  2.03807922e+00],\n",
       "       [ 2.23257161e+00, -3.96002631e-01, -1.25855114e+00],\n",
       "       [ 2.23257161e+00, -1.03898629e+00,  2.03807922e+00],\n",
       "       [ 2.23257161e+00,  4.64807464e-02,  2.79596567e-01],\n",
       "       [ 2.89674166e+00, -3.47606012e-01, -1.26274800e+00],\n",
       "       [ 3.56091171e+00, -4.06373336e-01, -1.22077944e+00],\n",
       "       [ 4.22508176e+00, -3.57976716e-01, -1.25855114e+00]])"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#convert into matrix having mean= 0 and std dev= 1\n",
    "from sklearn import preprocessing\n",
    "scaler = preprocessing.StandardScaler()\n",
    "X2 = scaler.fit_transform(X2)\n",
    "X2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([u'Qsr Restaurants', u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Office Supply Stores', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants', u'Misc.',\n",
       "       u'Shoe Stores', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Casual Restaurants',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Sports Stores', u'Toy Stores',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Shoe Stores', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Toy Stores', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Department Stores', u'Sports Stores', u'Qsr Restaurants',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Misc.',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Sports Stores', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Qsr Restaurants', u'Specialty Store', u'Apparel And Accessories',\n",
       "       u'Department Stores', u'Misc.', u'Furniture And Decor', u'Misc.',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel and Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel and Accessories',\n",
       "       u'Apparel And Accessories', u'Misc.', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor', u'Misc.',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories', u'Misc.',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories', u'Misc.',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor', u'Misc.',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel and Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Shoe Stores', u'Sports Stores', u'Apparel And Accessories',\n",
       "       u'Misc.', u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Cellular Phone Stores', u'Department Stores',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Department Stores', u'Sports Stores', u'Apparel and Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories', u'Misc.',\n",
       "       u'Apparel And Accessories', u'Electronics Stores',\n",
       "       u'Apparel and Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Shoe Stores', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Shoe Stores',\n",
       "       u'Apparel And Accessories', u'Office Supply Stores',\n",
       "       u'Apparel and Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories', u'Shoe Stores',\n",
       "       u'Sports Stores', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor', u'Misc.',\n",
       "       u'Furniture And Decor', u'Shoe Stores', u'Apparel and Accessories',\n",
       "       u'Electronics Stores', u'Toy Stores', u'Department Stores',\n",
       "       u'Apparel And Accessories', u'Shoe Stores', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants', u'Shoe Stores',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Specialty Store', u'Misc.', u'Electronics Stores',\n",
       "       u'Department Stores', u'Department Stores', u'Department Stores',\n",
       "       u'Misc.', u'Misc.', u'Department Stores', u'Department Stores',\n",
       "       u'Department Stores'], dtype=object)"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y2 = storemap['Store_Category'].as_matrix().astype(object)\n",
    "y2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "def stratified_cv(X, y, clf_class, shuffle=True, n_folds=2, **kwargs):\n",
    "    stratified_k_fold = cross_validation.StratifiedKFold(y, n_folds=n_folds, shuffle=shuffle)\n",
    "    y_pred = y.copy()\n",
    "    for ii, jj in stratified_k_fold:\n",
    "        X_train, X_test = X[ii], X[jj]\n",
    "        y_train = y[ii]\n",
    "        clf = clf_class(**kwargs)\n",
    "        clf.fit(X_train,y_train)\n",
    "        y_pred[jj] = clf.predict(X_test)\n",
    "    return y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\welcome\\Anaconda2\\lib\\site-packages\\sklearn\\cross_validation.py:553: Warning: The least populated class in y has only 1 members, which is too few. The minimum number of labels for any class cannot be less than n_folds=2.\n",
      "  % (min_labels, self.n_folds)), Warning)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Passive Aggressive Classifier: 0.17\n",
      "Gradient Boosting Classifier:  0.35\n",
      "Support vector machine(SVM):   0.43\n",
      "Random Forest Classifier:      0.36\n",
      "K Nearest Neighbor Classifier: 0.38\n",
      "Logistic Regression:           0.37\n"
     ]
    }
   ],
   "source": [
    "print('Passive Aggressive Classifier: {:.2f}'.format(metrics.accuracy_score(y2, stratified_cv(X2, y2, linear_model.PassiveAggressiveClassifier))))\n",
    "print('Gradient Boosting Classifier:  {:.2f}'.format(metrics.accuracy_score(y2, stratified_cv(X2, y2, ensemble.GradientBoostingClassifier))))\n",
    "print('Support vector machine(SVM):   {:.2f}'.format(metrics.accuracy_score(y2, stratified_cv(X2, y2, svm.SVC))))\n",
    "print('Random Forest Classifier:      {:.2f}'.format(metrics.accuracy_score(y2, stratified_cv(X2, y2, ensemble.RandomForestClassifier))))\n",
    "print('K Nearest Neighbor Classifier: {:.2f}'.format(metrics.accuracy_score(y2, stratified_cv(X2, y2, neighbors.KNeighborsClassifier))))\n",
    "print('Logistic Regression:           {:.2f}'.format(metrics.accuracy_score(y2, stratified_cv(X2, y2, linear_model.LogisticRegression))))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Mean accuracy of SVM: 1.0'"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#SVM TRAINING AND FITTING:\n",
    "from sklearn.svm import SVC\n",
    "\n",
    "clf3 = svm.SVC(kernel='rbf', C=100, gamma=10)\n",
    "clf3.fit(X2, y2)\n",
    "\n",
    "\n",
    "# Training data features, skip the first column 'Survived'\n",
    "train_features = X2\n",
    "\n",
    "# 'Survived' column values\n",
    "train_target = y2\n",
    "\n",
    "# Fit the model to our training data\n",
    "clf3 = clf3.fit(train_features, train_target)\n",
    "score = clf3.score(train_features, train_target)\n",
    "\"Mean accuracy of SVM: {0}\".format(score)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Mean accuracy: 0.602409638554'"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "clf4 = KNeighborsClassifier(n_neighbors=3, algorithm='auto', leaf_size=30, p=20, metric='minkowski', metric_params=None, n_jobs=1)\n",
    "train_features = X2\n",
    "\n",
    "train_target = y2\n",
    "\n",
    "# Fit the model to our training data\n",
    "clf4 = clf4.fit(train_features, train_target)\n",
    "score = clf4.score(train_features, train_target)\n",
    "\"Mean accuracy: {0}\".format(score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Mean accuracy: 0.987951807229'"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier\n",
    "clf5= RandomForestClassifier(n_estimators=15)\n",
    "\n",
    "train_features = X2\n",
    "\n",
    "train_target = y2\n",
    "\n",
    "# Fit the model to our training data\n",
    "clf5 = clf5.fit(train_features, train_target)\n",
    "score = clf5.score(train_features, train_target)\n",
    "\"Mean accuracy: {0}\".format(score)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "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>Floor_Index</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>Store_Name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661463</td>\n",
       "      <td>-122.298673</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784062</td>\n",
       "      <td>-122.406943</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784361</td>\n",
       "      <td>-122.406710</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784341</td>\n",
       "      <td>-122.406891</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784017</td>\n",
       "      <td>-122.407307</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shopper_420</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661624</td>\n",
       "      <td>-122.298459</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Shopper_420</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783856</td>\n",
       "      <td>-122.407092</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Shopper_245</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783970</td>\n",
       "      <td>-122.407194</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shopper_334</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783828</td>\n",
       "      <td>-122.406986</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shopper_205</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784219</td>\n",
       "      <td>-122.406896</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Shopper_205</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784638</td>\n",
       "      <td>-122.406411</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Shopper_530</td>\n",
       "      <td>1</td>\n",
       "      <td>35.085149</td>\n",
       "      <td>-113.663734</td>\n",
       "      <td>Club Monaco Women</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Shopper_530</td>\n",
       "      <td>0</td>\n",
       "      <td>36.541271</td>\n",
       "      <td>-118.435462</td>\n",
       "      <td>Bristol Farms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shopper_359</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783961</td>\n",
       "      <td>-122.407034</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>35.239976</td>\n",
       "      <td>-114.220990</td>\n",
       "      <td>Bristol Farms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784049</td>\n",
       "      <td>-122.407055</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784084</td>\n",
       "      <td>-122.407044</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shopper_481</td>\n",
       "      <td>2</td>\n",
       "      <td>35.265054</td>\n",
       "      <td>-114.246672</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784287</td>\n",
       "      <td>-122.406954</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>1</td>\n",
       "      <td>36.980523</td>\n",
       "      <td>-119.811229</td>\n",
       "      <td>Brighton Collectibles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>4</td>\n",
       "      <td>37.759561</td>\n",
       "      <td>-122.385293</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Shopper_287</td>\n",
       "      <td>0</td>\n",
       "      <td>37.656648</td>\n",
       "      <td>-122.006913</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Shopper_536</td>\n",
       "      <td>2</td>\n",
       "      <td>34.031987</td>\n",
       "      <td>-110.253652</td>\n",
       "      <td>49ers Team Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Shopper_344</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784028</td>\n",
       "      <td>-122.407106</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shopper_41</td>\n",
       "      <td>2</td>\n",
       "      <td>33.504061</td>\n",
       "      <td>-108.734063</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Shopper_41</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783814</td>\n",
       "      <td>-122.407127</td>\n",
       "      <td>Steve Madden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shopper_122</td>\n",
       "      <td>4</td>\n",
       "      <td>36.066776</td>\n",
       "      <td>-116.842850</td>\n",
       "      <td>M.Y. China</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shopper_51</td>\n",
       "      <td>0</td>\n",
       "      <td>37.720868</td>\n",
       "      <td>-122.343518</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shopper_51</td>\n",
       "      <td>1</td>\n",
       "      <td>35.265134</td>\n",
       "      <td>-114.246611</td>\n",
       "      <td>Kate Spade New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Shopper_68</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783840</td>\n",
       "      <td>-122.407236</td>\n",
       "      <td>Swarovski</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>107605</th>\n",
       "      <td>Shopper_454</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783982</td>\n",
       "      <td>-122.406909</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107606</th>\n",
       "      <td>Shopper_278</td>\n",
       "      <td>3</td>\n",
       "      <td>30.227258</td>\n",
       "      <td>-97.925617</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107607</th>\n",
       "      <td>Shopper_318</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784039</td>\n",
       "      <td>-122.406977</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107608</th>\n",
       "      <td>Shopper_440</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784117</td>\n",
       "      <td>-122.407263</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107609</th>\n",
       "      <td>Shopper_363</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784069</td>\n",
       "      <td>-122.407386</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107610</th>\n",
       "      <td>Shopper_339</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783989</td>\n",
       "      <td>-122.407159</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107611</th>\n",
       "      <td>Shopper_47</td>\n",
       "      <td>0</td>\n",
       "      <td>31.487016</td>\n",
       "      <td>-102.005697</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107612</th>\n",
       "      <td>Shopper_320</td>\n",
       "      <td>2</td>\n",
       "      <td>37.781113</td>\n",
       "      <td>-122.404167</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107613</th>\n",
       "      <td>Shopper_4</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784046</td>\n",
       "      <td>-122.407011</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107614</th>\n",
       "      <td>Shopper_398</td>\n",
       "      <td>2</td>\n",
       "      <td>33.061211</td>\n",
       "      <td>-107.106029</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107615</th>\n",
       "      <td>Shopper_154</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784085</td>\n",
       "      <td>-122.406878</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107616</th>\n",
       "      <td>Shopper_459</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784052</td>\n",
       "      <td>-122.407107</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107617</th>\n",
       "      <td>Shopper_459</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784471</td>\n",
       "      <td>-122.406800</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107618</th>\n",
       "      <td>Shopper_419</td>\n",
       "      <td>2</td>\n",
       "      <td>37.743028</td>\n",
       "      <td>-122.371079</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107619</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>3</td>\n",
       "      <td>34.320329</td>\n",
       "      <td>-111.206542</td>\n",
       "      <td>abercrombie kids</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107620</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784294</td>\n",
       "      <td>-122.406786</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107621</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>2</td>\n",
       "      <td>34.315878</td>\n",
       "      <td>-111.249350</td>\n",
       "      <td>49ers Team Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107622</th>\n",
       "      <td>Shopper_468</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783898</td>\n",
       "      <td>-122.407144</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107623</th>\n",
       "      <td>Shopper_244</td>\n",
       "      <td>3</td>\n",
       "      <td>37.781999</td>\n",
       "      <td>-122.405348</td>\n",
       "      <td>Steve Madden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107624</th>\n",
       "      <td>Shopper_373</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783965</td>\n",
       "      <td>-122.407176</td>\n",
       "      <td>Steve Madden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107625</th>\n",
       "      <td>Shopper_376</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784045</td>\n",
       "      <td>-122.407060</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107626</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>0</td>\n",
       "      <td>35.219027</td>\n",
       "      <td>-114.115492</td>\n",
       "      <td>Bristol Farms</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107627</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784057</td>\n",
       "      <td>-122.407213</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107628</th>\n",
       "      <td>Shopper_28</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783934</td>\n",
       "      <td>-122.407144</td>\n",
       "      <td>Cotton On</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107629</th>\n",
       "      <td>Shopper_76</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783984</td>\n",
       "      <td>-122.407237</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107630</th>\n",
       "      <td>Shopper_317</td>\n",
       "      <td>4</td>\n",
       "      <td>28.338261</td>\n",
       "      <td>-91.805123</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107631</th>\n",
       "      <td>Shopper_295</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784115</td>\n",
       "      <td>-122.406981</td>\n",
       "      <td>TAP 415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107632</th>\n",
       "      <td>Shopper_460</td>\n",
       "      <td>2</td>\n",
       "      <td>36.017950</td>\n",
       "      <td>-116.704627</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107633</th>\n",
       "      <td>Shopper_190</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784047</td>\n",
       "      <td>-122.407000</td>\n",
       "      <td>Swarovski</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107634</th>\n",
       "      <td>Shopper_53</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784078</td>\n",
       "      <td>-122.407087</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>107635 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Shopper_ID  Floor_Index   latitude   longitude             Store_Name\n",
       "0       Shopper_556            4  37.661463 -122.298673                TAP 415\n",
       "1       Shopper_556            1  37.784062 -122.406943              Swarovski\n",
       "2       Shopper_556            4  37.784361 -122.406710                TAP 415\n",
       "3       Shopper_360            0  37.784341 -122.406891    ProActiv Solutions \n",
       "4       Shopper_360            2  37.784017 -122.407307              Cotton On\n",
       "5       Shopper_420            4  37.661624 -122.298459                TAP 415\n",
       "6       Shopper_420            1  37.783856 -122.407092              Swarovski\n",
       "7       Shopper_245            2  37.783970 -122.407194              Cotton On\n",
       "8       Shopper_334            2  37.783828 -122.406986              Cotton On\n",
       "9       Shopper_205            1  37.784219 -122.406896              Swarovski\n",
       "10      Shopper_205            0  37.784638 -122.406411    ProActiv Solutions \n",
       "11      Shopper_530            1  35.085149 -113.663734      Club Monaco Women\n",
       "12      Shopper_530            0  36.541271 -118.435462          Bristol Farms\n",
       "13      Shopper_359            0  37.783961 -122.407034    ProActiv Solutions \n",
       "14      Shopper_189            0  35.239976 -114.220990          Bristol Farms\n",
       "15      Shopper_189            0  37.784049 -122.407055    ProActiv Solutions \n",
       "16      Shopper_189            0  37.784084 -122.407044    ProActiv Solutions \n",
       "17      Shopper_481            2  35.265054 -114.246672                H&M Man\n",
       "18      Shopper_155            4  37.784287 -122.406954                TAP 415\n",
       "19      Shopper_155            1  36.980523 -119.811229  Brighton Collectibles\n",
       "20      Shopper_155            4  37.759561 -122.385293                TAP 415\n",
       "21      Shopper_287            0  37.656648 -122.006913    ProActiv Solutions \n",
       "22      Shopper_536            2  34.031987 -110.253652       49ers Team Store\n",
       "23      Shopper_344            2  37.784028 -122.407106              Cotton On\n",
       "24       Shopper_41            2  33.504061 -108.734063         Bloomingdale's\n",
       "25       Shopper_41            3  37.783814 -122.407127           Steve Madden\n",
       "26      Shopper_122            4  36.066776 -116.842850             M.Y. China\n",
       "27       Shopper_51            0  37.720868 -122.343518    ProActiv Solutions \n",
       "28       Shopper_51            1  35.265134 -114.246611    Kate Spade New York\n",
       "29       Shopper_68            1  37.783840 -122.407236              Swarovski\n",
       "...             ...          ...        ...         ...                    ...\n",
       "107605  Shopper_454            1  37.783982 -122.406909              Swarovski\n",
       "107606  Shopper_278            3  30.227258  -97.925617         Bloomingdale's\n",
       "107607  Shopper_318            2  37.784039 -122.406977              Cotton On\n",
       "107608  Shopper_440            0  37.784117 -122.407263    ProActiv Solutions \n",
       "107609  Shopper_363            0  37.784069 -122.407386    ProActiv Solutions \n",
       "107610  Shopper_339            0  37.783989 -122.407159    ProActiv Solutions \n",
       "107611   Shopper_47            0  31.487016 -102.005697         Bloomingdale's\n",
       "107612  Shopper_320            2  37.781113 -122.404167              Cotton On\n",
       "107613    Shopper_4            2  37.784046 -122.407011              Cotton On\n",
       "107614  Shopper_398            2  33.061211 -107.106029         Bloomingdale's\n",
       "107615  Shopper_154            1  37.784085 -122.406878              Swarovski\n",
       "107616  Shopper_459            0  37.784052 -122.407107    ProActiv Solutions \n",
       "107617  Shopper_459            0  37.784471 -122.406800    ProActiv Solutions \n",
       "107618  Shopper_419            2  37.743028 -122.371079              Cotton On\n",
       "107619  Shopper_319            3  34.320329 -111.206542       abercrombie kids\n",
       "107620  Shopper_319            0  37.784294 -122.406786    ProActiv Solutions \n",
       "107621  Shopper_319            2  34.315878 -111.249350       49ers Team Store\n",
       "107622  Shopper_468            2  37.783898 -122.407144              Cotton On\n",
       "107623  Shopper_244            3  37.781999 -122.405348           Steve Madden\n",
       "107624  Shopper_373            3  37.783965 -122.407176           Steve Madden\n",
       "107625  Shopper_376            1  37.784045 -122.407060              Swarovski\n",
       "107626  Shopper_100            0  35.219027 -114.115492          Bristol Farms\n",
       "107627  Shopper_100            0  37.784057 -122.407213    ProActiv Solutions \n",
       "107628   Shopper_28            2  37.783934 -122.407144              Cotton On\n",
       "107629   Shopper_76            1  37.783984 -122.407237              Swarovski\n",
       "107630  Shopper_317            4  28.338261  -91.805123         Bloomingdale's\n",
       "107631  Shopper_295            4  37.784115 -122.406981                TAP 415\n",
       "107632  Shopper_460            2  36.017950 -116.704627                H&M Man\n",
       "107633  Shopper_190            1  37.784047 -122.407000              Swarovski\n",
       "107634   Shopper_53            0  37.784078 -122.407087    ProActiv Solutions \n",
       "\n",
       "[107635 rows x 5 columns]"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visiting_infodf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.83464372,  0.36209925, -0.40275272],\n",
       "       [-0.32798594,  0.42248019, -0.41922354],\n",
       "       [ 1.83464372,  0.42262752, -0.41918799],\n",
       "       ...,\n",
       "       [ 0.39289061, -0.44734271,  0.44825139],\n",
       "       [-0.32798594,  0.42247297, -0.41923214],\n",
       "       [-1.04886249,  0.42248811, -0.4192454 ]])"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_test2 = visiting_infodf.drop(['Shopper_ID', 'Store_Name'], axis=1).as_matrix().astype(np.float)\n",
    "scaler = preprocessing.StandardScaler()\n",
    "test_data2 = scaler.fit_transform(X_test2)\n",
    "test_data2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "pred_y3 = clf3.predict(test_data2)\n",
    "pred_y4= clf4.predict(test_data2)\n",
    "pred_y5= clf5.predict(test_data2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "visiting_infodf['Store_Category_visited3'] = pred_y3\n",
    "visiting_infodf['Store_Category_visited4'] = pred_y4\n",
    "visiting_infodf['Store_Category_visited5'] = pred_y5\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "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>Floor_Index</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>Store_Name</th>\n",
       "      <th>Store_Category_visited3</th>\n",
       "      <th>Store_Category_visited4</th>\n",
       "      <th>Store_Category_visited5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661463</td>\n",
       "      <td>-122.298673</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784062</td>\n",
       "      <td>-122.406943</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784361</td>\n",
       "      <td>-122.406710</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784341</td>\n",
       "      <td>-122.406891</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784017</td>\n",
       "      <td>-122.407307</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shopper_420</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661624</td>\n",
       "      <td>-122.298459</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Shopper_420</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783856</td>\n",
       "      <td>-122.407092</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Shopper_245</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783970</td>\n",
       "      <td>-122.407194</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shopper_334</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783828</td>\n",
       "      <td>-122.406986</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shopper_205</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784219</td>\n",
       "      <td>-122.406896</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Shopper_205</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784638</td>\n",
       "      <td>-122.406411</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Shopper_530</td>\n",
       "      <td>1</td>\n",
       "      <td>35.085149</td>\n",
       "      <td>-113.663734</td>\n",
       "      <td>Club Monaco Women</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Shopper_530</td>\n",
       "      <td>0</td>\n",
       "      <td>36.541271</td>\n",
       "      <td>-118.435462</td>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shopper_359</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783961</td>\n",
       "      <td>-122.407034</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>35.239976</td>\n",
       "      <td>-114.220990</td>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784049</td>\n",
       "      <td>-122.407055</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784084</td>\n",
       "      <td>-122.407044</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shopper_481</td>\n",
       "      <td>2</td>\n",
       "      <td>35.265054</td>\n",
       "      <td>-114.246672</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784287</td>\n",
       "      <td>-122.406954</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>1</td>\n",
       "      <td>36.980523</td>\n",
       "      <td>-119.811229</td>\n",
       "      <td>Brighton Collectibles</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>4</td>\n",
       "      <td>37.759561</td>\n",
       "      <td>-122.385293</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Shopper_287</td>\n",
       "      <td>0</td>\n",
       "      <td>37.656648</td>\n",
       "      <td>-122.006913</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Shopper_536</td>\n",
       "      <td>2</td>\n",
       "      <td>34.031987</td>\n",
       "      <td>-110.253652</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Shopper_344</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784028</td>\n",
       "      <td>-122.407106</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shopper_41</td>\n",
       "      <td>2</td>\n",
       "      <td>33.504061</td>\n",
       "      <td>-108.734063</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Shopper_41</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783814</td>\n",
       "      <td>-122.407127</td>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shopper_122</td>\n",
       "      <td>4</td>\n",
       "      <td>36.066776</td>\n",
       "      <td>-116.842850</td>\n",
       "      <td>M.Y. China</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Misc.</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shopper_51</td>\n",
       "      <td>0</td>\n",
       "      <td>37.720868</td>\n",
       "      <td>-122.343518</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shopper_51</td>\n",
       "      <td>1</td>\n",
       "      <td>35.265134</td>\n",
       "      <td>-114.246611</td>\n",
       "      <td>Kate Spade New York</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Shopper_68</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783840</td>\n",
       "      <td>-122.407236</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</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",
       "      <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>1</td>\n",
       "      <td>37.783982</td>\n",
       "      <td>-122.406909</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107606</th>\n",
       "      <td>Shopper_278</td>\n",
       "      <td>3</td>\n",
       "      <td>30.227258</td>\n",
       "      <td>-97.925617</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>Department Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107607</th>\n",
       "      <td>Shopper_318</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784039</td>\n",
       "      <td>-122.406977</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107608</th>\n",
       "      <td>Shopper_440</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784117</td>\n",
       "      <td>-122.407263</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107609</th>\n",
       "      <td>Shopper_363</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784069</td>\n",
       "      <td>-122.407386</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107610</th>\n",
       "      <td>Shopper_339</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783989</td>\n",
       "      <td>-122.407159</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107611</th>\n",
       "      <td>Shopper_47</td>\n",
       "      <td>0</td>\n",
       "      <td>31.487016</td>\n",
       "      <td>-102.005697</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>Department Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107612</th>\n",
       "      <td>Shopper_320</td>\n",
       "      <td>2</td>\n",
       "      <td>37.781113</td>\n",
       "      <td>-122.404167</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107613</th>\n",
       "      <td>Shopper_4</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784046</td>\n",
       "      <td>-122.407011</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107614</th>\n",
       "      <td>Shopper_398</td>\n",
       "      <td>2</td>\n",
       "      <td>33.061211</td>\n",
       "      <td>-107.106029</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>Department Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107615</th>\n",
       "      <td>Shopper_154</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784085</td>\n",
       "      <td>-122.406878</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107616</th>\n",
       "      <td>Shopper_459</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784052</td>\n",
       "      <td>-122.407107</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107617</th>\n",
       "      <td>Shopper_459</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784471</td>\n",
       "      <td>-122.406800</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107618</th>\n",
       "      <td>Shopper_419</td>\n",
       "      <td>2</td>\n",
       "      <td>37.743028</td>\n",
       "      <td>-122.371079</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107619</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>3</td>\n",
       "      <td>34.320329</td>\n",
       "      <td>-111.206542</td>\n",
       "      <td>abercrombie kids</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107620</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784294</td>\n",
       "      <td>-122.406786</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107621</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>2</td>\n",
       "      <td>34.315878</td>\n",
       "      <td>-111.249350</td>\n",
       "      <td>49ers Team Store</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107622</th>\n",
       "      <td>Shopper_468</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783898</td>\n",
       "      <td>-122.407144</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107623</th>\n",
       "      <td>Shopper_244</td>\n",
       "      <td>3</td>\n",
       "      <td>37.781999</td>\n",
       "      <td>-122.405348</td>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107624</th>\n",
       "      <td>Shopper_373</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783965</td>\n",
       "      <td>-122.407176</td>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107625</th>\n",
       "      <td>Shopper_376</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784045</td>\n",
       "      <td>-122.407060</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107626</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>0</td>\n",
       "      <td>35.219027</td>\n",
       "      <td>-114.115492</td>\n",
       "      <td>Bristol Farms</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Casual Restaurants</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107627</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784057</td>\n",
       "      <td>-122.407213</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107628</th>\n",
       "      <td>Shopper_28</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783934</td>\n",
       "      <td>-122.407144</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107629</th>\n",
       "      <td>Shopper_76</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783984</td>\n",
       "      <td>-122.407237</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107630</th>\n",
       "      <td>Shopper_317</td>\n",
       "      <td>4</td>\n",
       "      <td>28.338261</td>\n",
       "      <td>-91.805123</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Department Stores</td>\n",
       "      <td>Department Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107631</th>\n",
       "      <td>Shopper_295</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784115</td>\n",
       "      <td>-122.406981</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107632</th>\n",
       "      <td>Shopper_460</td>\n",
       "      <td>2</td>\n",
       "      <td>36.017950</td>\n",
       "      <td>-116.704627</td>\n",
       "      <td>H&amp;M Man</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Electronics Stores</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107633</th>\n",
       "      <td>Shopper_190</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784047</td>\n",
       "      <td>-122.407000</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107634</th>\n",
       "      <td>Shopper_53</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784078</td>\n",
       "      <td>-122.407087</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Toy Stores</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>107635 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Shopper_ID  Floor_Index   latitude   longitude  \\\n",
       "0       Shopper_556            4  37.661463 -122.298673   \n",
       "1       Shopper_556            1  37.784062 -122.406943   \n",
       "2       Shopper_556            4  37.784361 -122.406710   \n",
       "3       Shopper_360            0  37.784341 -122.406891   \n",
       "4       Shopper_360            2  37.784017 -122.407307   \n",
       "5       Shopper_420            4  37.661624 -122.298459   \n",
       "6       Shopper_420            1  37.783856 -122.407092   \n",
       "7       Shopper_245            2  37.783970 -122.407194   \n",
       "8       Shopper_334            2  37.783828 -122.406986   \n",
       "9       Shopper_205            1  37.784219 -122.406896   \n",
       "10      Shopper_205            0  37.784638 -122.406411   \n",
       "11      Shopper_530            1  35.085149 -113.663734   \n",
       "12      Shopper_530            0  36.541271 -118.435462   \n",
       "13      Shopper_359            0  37.783961 -122.407034   \n",
       "14      Shopper_189            0  35.239976 -114.220990   \n",
       "15      Shopper_189            0  37.784049 -122.407055   \n",
       "16      Shopper_189            0  37.784084 -122.407044   \n",
       "17      Shopper_481            2  35.265054 -114.246672   \n",
       "18      Shopper_155            4  37.784287 -122.406954   \n",
       "19      Shopper_155            1  36.980523 -119.811229   \n",
       "20      Shopper_155            4  37.759561 -122.385293   \n",
       "21      Shopper_287            0  37.656648 -122.006913   \n",
       "22      Shopper_536            2  34.031987 -110.253652   \n",
       "23      Shopper_344            2  37.784028 -122.407106   \n",
       "24       Shopper_41            2  33.504061 -108.734063   \n",
       "25       Shopper_41            3  37.783814 -122.407127   \n",
       "26      Shopper_122            4  36.066776 -116.842850   \n",
       "27       Shopper_51            0  37.720868 -122.343518   \n",
       "28       Shopper_51            1  35.265134 -114.246611   \n",
       "29       Shopper_68            1  37.783840 -122.407236   \n",
       "...             ...          ...        ...         ...   \n",
       "107605  Shopper_454            1  37.783982 -122.406909   \n",
       "107606  Shopper_278            3  30.227258  -97.925617   \n",
       "107607  Shopper_318            2  37.784039 -122.406977   \n",
       "107608  Shopper_440            0  37.784117 -122.407263   \n",
       "107609  Shopper_363            0  37.784069 -122.407386   \n",
       "107610  Shopper_339            0  37.783989 -122.407159   \n",
       "107611   Shopper_47            0  31.487016 -102.005697   \n",
       "107612  Shopper_320            2  37.781113 -122.404167   \n",
       "107613    Shopper_4            2  37.784046 -122.407011   \n",
       "107614  Shopper_398            2  33.061211 -107.106029   \n",
       "107615  Shopper_154            1  37.784085 -122.406878   \n",
       "107616  Shopper_459            0  37.784052 -122.407107   \n",
       "107617  Shopper_459            0  37.784471 -122.406800   \n",
       "107618  Shopper_419            2  37.743028 -122.371079   \n",
       "107619  Shopper_319            3  34.320329 -111.206542   \n",
       "107620  Shopper_319            0  37.784294 -122.406786   \n",
       "107621  Shopper_319            2  34.315878 -111.249350   \n",
       "107622  Shopper_468            2  37.783898 -122.407144   \n",
       "107623  Shopper_244            3  37.781999 -122.405348   \n",
       "107624  Shopper_373            3  37.783965 -122.407176   \n",
       "107625  Shopper_376            1  37.784045 -122.407060   \n",
       "107626  Shopper_100            0  35.219027 -114.115492   \n",
       "107627  Shopper_100            0  37.784057 -122.407213   \n",
       "107628   Shopper_28            2  37.783934 -122.407144   \n",
       "107629   Shopper_76            1  37.783984 -122.407237   \n",
       "107630  Shopper_317            4  28.338261  -91.805123   \n",
       "107631  Shopper_295            4  37.784115 -122.406981   \n",
       "107632  Shopper_460            2  36.017950 -116.704627   \n",
       "107633  Shopper_190            1  37.784047 -122.407000   \n",
       "107634   Shopper_53            0  37.784078 -122.407087   \n",
       "\n",
       "                   Store_Name  Store_Category_visited3  \\\n",
       "0                     TAP 415  Apparel And Accessories   \n",
       "1                   Swarovski  Apparel And Accessories   \n",
       "2                     TAP 415  Apparel And Accessories   \n",
       "3         ProActiv Solutions                Toy Stores   \n",
       "4                   Cotton On  Apparel And Accessories   \n",
       "5                     TAP 415  Apparel And Accessories   \n",
       "6                   Swarovski  Apparel And Accessories   \n",
       "7                   Cotton On  Apparel And Accessories   \n",
       "8                   Cotton On  Apparel And Accessories   \n",
       "9                   Swarovski  Apparel And Accessories   \n",
       "10        ProActiv Solutions                Toy Stores   \n",
       "11          Club Monaco Women  Apparel And Accessories   \n",
       "12              Bristol Farms          Qsr Restaurants   \n",
       "13        ProActiv Solutions                Toy Stores   \n",
       "14              Bristol Farms  Apparel And Accessories   \n",
       "15        ProActiv Solutions                Toy Stores   \n",
       "16        ProActiv Solutions                Toy Stores   \n",
       "17                    H&M Man  Apparel And Accessories   \n",
       "18                    TAP 415  Apparel And Accessories   \n",
       "19      Brighton Collectibles  Apparel And Accessories   \n",
       "20                    TAP 415  Apparel And Accessories   \n",
       "21        ProActiv Solutions                Toy Stores   \n",
       "22           49ers Team Store  Apparel And Accessories   \n",
       "23                  Cotton On  Apparel And Accessories   \n",
       "24             Bloomingdale's  Apparel And Accessories   \n",
       "25               Steve Madden  Apparel And Accessories   \n",
       "26                 M.Y. China  Apparel And Accessories   \n",
       "27        ProActiv Solutions                Toy Stores   \n",
       "28        Kate Spade New York  Apparel And Accessories   \n",
       "29                  Swarovski  Apparel And Accessories   \n",
       "...                       ...                      ...   \n",
       "107605              Swarovski  Apparel And Accessories   \n",
       "107606         Bloomingdale's  Apparel And Accessories   \n",
       "107607              Cotton On  Apparel And Accessories   \n",
       "107608    ProActiv Solutions                Toy Stores   \n",
       "107609    ProActiv Solutions                Toy Stores   \n",
       "107610    ProActiv Solutions                Toy Stores   \n",
       "107611         Bloomingdale's  Apparel And Accessories   \n",
       "107612              Cotton On  Apparel And Accessories   \n",
       "107613              Cotton On  Apparel And Accessories   \n",
       "107614         Bloomingdale's  Apparel And Accessories   \n",
       "107615              Swarovski  Apparel And Accessories   \n",
       "107616    ProActiv Solutions                Toy Stores   \n",
       "107617    ProActiv Solutions                Toy Stores   \n",
       "107618              Cotton On  Apparel And Accessories   \n",
       "107619       abercrombie kids  Apparel And Accessories   \n",
       "107620    ProActiv Solutions                Toy Stores   \n",
       "107621       49ers Team Store  Apparel And Accessories   \n",
       "107622              Cotton On  Apparel And Accessories   \n",
       "107623           Steve Madden  Apparel And Accessories   \n",
       "107624           Steve Madden  Apparel And Accessories   \n",
       "107625              Swarovski  Apparel And Accessories   \n",
       "107626          Bristol Farms  Apparel And Accessories   \n",
       "107627    ProActiv Solutions                Toy Stores   \n",
       "107628              Cotton On  Apparel And Accessories   \n",
       "107629              Swarovski  Apparel And Accessories   \n",
       "107630         Bloomingdale's  Apparel And Accessories   \n",
       "107631                TAP 415  Apparel And Accessories   \n",
       "107632                H&M Man  Apparel And Accessories   \n",
       "107633              Swarovski  Apparel And Accessories   \n",
       "107634    ProActiv Solutions                Toy Stores   \n",
       "\n",
       "        Store_Category_visited4  Store_Category_visited5  \n",
       "0               Qsr Restaurants          Qsr Restaurants  \n",
       "1       Apparel And Accessories  Apparel And Accessories  \n",
       "2               Qsr Restaurants          Qsr Restaurants  \n",
       "3                    Toy Stores      Furniture And Decor  \n",
       "4       Apparel And Accessories          Qsr Restaurants  \n",
       "5               Qsr Restaurants          Qsr Restaurants  \n",
       "6       Apparel And Accessories  Apparel And Accessories  \n",
       "7       Apparel And Accessories          Qsr Restaurants  \n",
       "8       Apparel And Accessories          Qsr Restaurants  \n",
       "9       Apparel And Accessories  Apparel And Accessories  \n",
       "10                   Toy Stores      Furniture And Decor  \n",
       "11      Apparel And Accessories  Apparel And Accessories  \n",
       "12      Apparel And Accessories          Qsr Restaurants  \n",
       "13                   Toy Stores      Furniture And Decor  \n",
       "14      Apparel And Accessories          Qsr Restaurants  \n",
       "15                   Toy Stores      Furniture And Decor  \n",
       "16                   Toy Stores      Furniture And Decor  \n",
       "17      Apparel And Accessories  Apparel And Accessories  \n",
       "18              Qsr Restaurants          Qsr Restaurants  \n",
       "19      Apparel And Accessories  Apparel And Accessories  \n",
       "20              Qsr Restaurants          Qsr Restaurants  \n",
       "21                   Toy Stores      Furniture And Decor  \n",
       "22      Apparel And Accessories  Apparel And Accessories  \n",
       "23      Apparel And Accessories          Qsr Restaurants  \n",
       "24            Department Stores  Apparel And Accessories  \n",
       "25      Apparel And Accessories  Apparel And Accessories  \n",
       "26                        Misc.          Qsr Restaurants  \n",
       "27                   Toy Stores      Furniture And Decor  \n",
       "28      Apparel And Accessories  Apparel And Accessories  \n",
       "29      Apparel And Accessories  Apparel And Accessories  \n",
       "...                         ...                      ...  \n",
       "107605  Apparel And Accessories  Apparel And Accessories  \n",
       "107606        Department Stores        Department Stores  \n",
       "107607  Apparel And Accessories          Qsr Restaurants  \n",
       "107608               Toy Stores      Furniture And Decor  \n",
       "107609               Toy Stores      Furniture And Decor  \n",
       "107610               Toy Stores      Furniture And Decor  \n",
       "107611        Department Stores        Department Stores  \n",
       "107612  Apparel And Accessories          Qsr Restaurants  \n",
       "107613  Apparel And Accessories          Qsr Restaurants  \n",
       "107614        Department Stores        Department Stores  \n",
       "107615  Apparel And Accessories  Apparel And Accessories  \n",
       "107616               Toy Stores      Furniture And Decor  \n",
       "107617               Toy Stores      Furniture And Decor  \n",
       "107618  Apparel And Accessories          Qsr Restaurants  \n",
       "107619  Apparel And Accessories  Apparel And Accessories  \n",
       "107620               Toy Stores      Furniture And Decor  \n",
       "107621  Apparel And Accessories  Apparel And Accessories  \n",
       "107622  Apparel And Accessories          Qsr Restaurants  \n",
       "107623  Apparel And Accessories  Apparel And Accessories  \n",
       "107624  Apparel And Accessories  Apparel And Accessories  \n",
       "107625  Apparel And Accessories  Apparel And Accessories  \n",
       "107626       Casual Restaurants          Qsr Restaurants  \n",
       "107627               Toy Stores      Furniture And Decor  \n",
       "107628  Apparel And Accessories          Qsr Restaurants  \n",
       "107629  Apparel And Accessories  Apparel And Accessories  \n",
       "107630        Department Stores        Department Stores  \n",
       "107631          Qsr Restaurants          Qsr Restaurants  \n",
       "107632       Electronics Stores  Apparel And Accessories  \n",
       "107633  Apparel And Accessories  Apparel And Accessories  \n",
       "107634               Toy Stores      Furniture And Decor  \n",
       "\n",
       "[107635 rows x 8 columns]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visiting_infodf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "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>Floor_Index</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>Store_Category_visited5</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661463</td>\n",
       "      <td>-122.298673</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784062</td>\n",
       "      <td>-122.406943</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Shopper_556</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784361</td>\n",
       "      <td>-122.406710</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784341</td>\n",
       "      <td>-122.406891</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Shopper_360</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784017</td>\n",
       "      <td>-122.407307</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shopper_420</td>\n",
       "      <td>4</td>\n",
       "      <td>37.661624</td>\n",
       "      <td>-122.298459</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Shopper_420</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783856</td>\n",
       "      <td>-122.407092</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Shopper_245</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783970</td>\n",
       "      <td>-122.407194</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Shopper_334</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783828</td>\n",
       "      <td>-122.406986</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Shopper_205</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784219</td>\n",
       "      <td>-122.406896</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Shopper_205</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784638</td>\n",
       "      <td>-122.406411</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Shopper_530</td>\n",
       "      <td>1</td>\n",
       "      <td>35.085149</td>\n",
       "      <td>-113.663734</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Shopper_530</td>\n",
       "      <td>0</td>\n",
       "      <td>36.541271</td>\n",
       "      <td>-118.435462</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Shopper_359</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783961</td>\n",
       "      <td>-122.407034</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>35.239976</td>\n",
       "      <td>-114.220990</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784049</td>\n",
       "      <td>-122.407055</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shopper_189</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784084</td>\n",
       "      <td>-122.407044</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Shopper_481</td>\n",
       "      <td>2</td>\n",
       "      <td>35.265054</td>\n",
       "      <td>-114.246672</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784287</td>\n",
       "      <td>-122.406954</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>1</td>\n",
       "      <td>36.980523</td>\n",
       "      <td>-119.811229</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Shopper_155</td>\n",
       "      <td>4</td>\n",
       "      <td>37.759561</td>\n",
       "      <td>-122.385293</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Shopper_287</td>\n",
       "      <td>0</td>\n",
       "      <td>37.656648</td>\n",
       "      <td>-122.006913</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Shopper_536</td>\n",
       "      <td>2</td>\n",
       "      <td>34.031987</td>\n",
       "      <td>-110.253652</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Shopper_344</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784028</td>\n",
       "      <td>-122.407106</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Shopper_41</td>\n",
       "      <td>2</td>\n",
       "      <td>33.504061</td>\n",
       "      <td>-108.734063</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Shopper_41</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783814</td>\n",
       "      <td>-122.407127</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Shopper_122</td>\n",
       "      <td>4</td>\n",
       "      <td>36.066776</td>\n",
       "      <td>-116.842850</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Shopper_51</td>\n",
       "      <td>0</td>\n",
       "      <td>37.720868</td>\n",
       "      <td>-122.343518</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Shopper_51</td>\n",
       "      <td>1</td>\n",
       "      <td>35.265134</td>\n",
       "      <td>-114.246611</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Shopper_68</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783840</td>\n",
       "      <td>-122.407236</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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107605</th>\n",
       "      <td>Shopper_454</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783982</td>\n",
       "      <td>-122.406909</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107606</th>\n",
       "      <td>Shopper_278</td>\n",
       "      <td>3</td>\n",
       "      <td>30.227258</td>\n",
       "      <td>-97.925617</td>\n",
       "      <td>Department Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107607</th>\n",
       "      <td>Shopper_318</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784039</td>\n",
       "      <td>-122.406977</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107608</th>\n",
       "      <td>Shopper_440</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784117</td>\n",
       "      <td>-122.407263</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107609</th>\n",
       "      <td>Shopper_363</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784069</td>\n",
       "      <td>-122.407386</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107610</th>\n",
       "      <td>Shopper_339</td>\n",
       "      <td>0</td>\n",
       "      <td>37.783989</td>\n",
       "      <td>-122.407159</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107611</th>\n",
       "      <td>Shopper_47</td>\n",
       "      <td>0</td>\n",
       "      <td>31.487016</td>\n",
       "      <td>-102.005697</td>\n",
       "      <td>Department Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107612</th>\n",
       "      <td>Shopper_320</td>\n",
       "      <td>2</td>\n",
       "      <td>37.781113</td>\n",
       "      <td>-122.404167</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107613</th>\n",
       "      <td>Shopper_4</td>\n",
       "      <td>2</td>\n",
       "      <td>37.784046</td>\n",
       "      <td>-122.407011</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107614</th>\n",
       "      <td>Shopper_398</td>\n",
       "      <td>2</td>\n",
       "      <td>33.061211</td>\n",
       "      <td>-107.106029</td>\n",
       "      <td>Department Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107615</th>\n",
       "      <td>Shopper_154</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784085</td>\n",
       "      <td>-122.406878</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107616</th>\n",
       "      <td>Shopper_459</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784052</td>\n",
       "      <td>-122.407107</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107617</th>\n",
       "      <td>Shopper_459</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784471</td>\n",
       "      <td>-122.406800</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107618</th>\n",
       "      <td>Shopper_419</td>\n",
       "      <td>2</td>\n",
       "      <td>37.743028</td>\n",
       "      <td>-122.371079</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107619</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>3</td>\n",
       "      <td>34.320329</td>\n",
       "      <td>-111.206542</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107620</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784294</td>\n",
       "      <td>-122.406786</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107621</th>\n",
       "      <td>Shopper_319</td>\n",
       "      <td>2</td>\n",
       "      <td>34.315878</td>\n",
       "      <td>-111.249350</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107622</th>\n",
       "      <td>Shopper_468</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783898</td>\n",
       "      <td>-122.407144</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107623</th>\n",
       "      <td>Shopper_244</td>\n",
       "      <td>3</td>\n",
       "      <td>37.781999</td>\n",
       "      <td>-122.405348</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107624</th>\n",
       "      <td>Shopper_373</td>\n",
       "      <td>3</td>\n",
       "      <td>37.783965</td>\n",
       "      <td>-122.407176</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107625</th>\n",
       "      <td>Shopper_376</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784045</td>\n",
       "      <td>-122.407060</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107626</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>0</td>\n",
       "      <td>35.219027</td>\n",
       "      <td>-114.115492</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107627</th>\n",
       "      <td>Shopper_100</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784057</td>\n",
       "      <td>-122.407213</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107628</th>\n",
       "      <td>Shopper_28</td>\n",
       "      <td>2</td>\n",
       "      <td>37.783934</td>\n",
       "      <td>-122.407144</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107629</th>\n",
       "      <td>Shopper_76</td>\n",
       "      <td>1</td>\n",
       "      <td>37.783984</td>\n",
       "      <td>-122.407237</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107630</th>\n",
       "      <td>Shopper_317</td>\n",
       "      <td>4</td>\n",
       "      <td>28.338261</td>\n",
       "      <td>-91.805123</td>\n",
       "      <td>Department Stores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107631</th>\n",
       "      <td>Shopper_295</td>\n",
       "      <td>4</td>\n",
       "      <td>37.784115</td>\n",
       "      <td>-122.406981</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107632</th>\n",
       "      <td>Shopper_460</td>\n",
       "      <td>2</td>\n",
       "      <td>36.017950</td>\n",
       "      <td>-116.704627</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107633</th>\n",
       "      <td>Shopper_190</td>\n",
       "      <td>1</td>\n",
       "      <td>37.784047</td>\n",
       "      <td>-122.407000</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107634</th>\n",
       "      <td>Shopper_53</td>\n",
       "      <td>0</td>\n",
       "      <td>37.784078</td>\n",
       "      <td>-122.407087</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>107635 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Shopper_ID  Floor_Index   latitude   longitude  \\\n",
       "0       Shopper_556            4  37.661463 -122.298673   \n",
       "1       Shopper_556            1  37.784062 -122.406943   \n",
       "2       Shopper_556            4  37.784361 -122.406710   \n",
       "3       Shopper_360            0  37.784341 -122.406891   \n",
       "4       Shopper_360            2  37.784017 -122.407307   \n",
       "5       Shopper_420            4  37.661624 -122.298459   \n",
       "6       Shopper_420            1  37.783856 -122.407092   \n",
       "7       Shopper_245            2  37.783970 -122.407194   \n",
       "8       Shopper_334            2  37.783828 -122.406986   \n",
       "9       Shopper_205            1  37.784219 -122.406896   \n",
       "10      Shopper_205            0  37.784638 -122.406411   \n",
       "11      Shopper_530            1  35.085149 -113.663734   \n",
       "12      Shopper_530            0  36.541271 -118.435462   \n",
       "13      Shopper_359            0  37.783961 -122.407034   \n",
       "14      Shopper_189            0  35.239976 -114.220990   \n",
       "15      Shopper_189            0  37.784049 -122.407055   \n",
       "16      Shopper_189            0  37.784084 -122.407044   \n",
       "17      Shopper_481            2  35.265054 -114.246672   \n",
       "18      Shopper_155            4  37.784287 -122.406954   \n",
       "19      Shopper_155            1  36.980523 -119.811229   \n",
       "20      Shopper_155            4  37.759561 -122.385293   \n",
       "21      Shopper_287            0  37.656648 -122.006913   \n",
       "22      Shopper_536            2  34.031987 -110.253652   \n",
       "23      Shopper_344            2  37.784028 -122.407106   \n",
       "24       Shopper_41            2  33.504061 -108.734063   \n",
       "25       Shopper_41            3  37.783814 -122.407127   \n",
       "26      Shopper_122            4  36.066776 -116.842850   \n",
       "27       Shopper_51            0  37.720868 -122.343518   \n",
       "28       Shopper_51            1  35.265134 -114.246611   \n",
       "29       Shopper_68            1  37.783840 -122.407236   \n",
       "...             ...          ...        ...         ...   \n",
       "107605  Shopper_454            1  37.783982 -122.406909   \n",
       "107606  Shopper_278            3  30.227258  -97.925617   \n",
       "107607  Shopper_318            2  37.784039 -122.406977   \n",
       "107608  Shopper_440            0  37.784117 -122.407263   \n",
       "107609  Shopper_363            0  37.784069 -122.407386   \n",
       "107610  Shopper_339            0  37.783989 -122.407159   \n",
       "107611   Shopper_47            0  31.487016 -102.005697   \n",
       "107612  Shopper_320            2  37.781113 -122.404167   \n",
       "107613    Shopper_4            2  37.784046 -122.407011   \n",
       "107614  Shopper_398            2  33.061211 -107.106029   \n",
       "107615  Shopper_154            1  37.784085 -122.406878   \n",
       "107616  Shopper_459            0  37.784052 -122.407107   \n",
       "107617  Shopper_459            0  37.784471 -122.406800   \n",
       "107618  Shopper_419            2  37.743028 -122.371079   \n",
       "107619  Shopper_319            3  34.320329 -111.206542   \n",
       "107620  Shopper_319            0  37.784294 -122.406786   \n",
       "107621  Shopper_319            2  34.315878 -111.249350   \n",
       "107622  Shopper_468            2  37.783898 -122.407144   \n",
       "107623  Shopper_244            3  37.781999 -122.405348   \n",
       "107624  Shopper_373            3  37.783965 -122.407176   \n",
       "107625  Shopper_376            1  37.784045 -122.407060   \n",
       "107626  Shopper_100            0  35.219027 -114.115492   \n",
       "107627  Shopper_100            0  37.784057 -122.407213   \n",
       "107628   Shopper_28            2  37.783934 -122.407144   \n",
       "107629   Shopper_76            1  37.783984 -122.407237   \n",
       "107630  Shopper_317            4  28.338261  -91.805123   \n",
       "107631  Shopper_295            4  37.784115 -122.406981   \n",
       "107632  Shopper_460            2  36.017950 -116.704627   \n",
       "107633  Shopper_190            1  37.784047 -122.407000   \n",
       "107634   Shopper_53            0  37.784078 -122.407087   \n",
       "\n",
       "        Store_Category_visited5  \n",
       "0               Qsr Restaurants  \n",
       "1       Apparel And Accessories  \n",
       "2               Qsr Restaurants  \n",
       "3           Furniture And Decor  \n",
       "4               Qsr Restaurants  \n",
       "5               Qsr Restaurants  \n",
       "6       Apparel And Accessories  \n",
       "7               Qsr Restaurants  \n",
       "8               Qsr Restaurants  \n",
       "9       Apparel And Accessories  \n",
       "10          Furniture And Decor  \n",
       "11      Apparel And Accessories  \n",
       "12              Qsr Restaurants  \n",
       "13          Furniture And Decor  \n",
       "14              Qsr Restaurants  \n",
       "15          Furniture And Decor  \n",
       "16          Furniture And Decor  \n",
       "17      Apparel And Accessories  \n",
       "18              Qsr Restaurants  \n",
       "19      Apparel And Accessories  \n",
       "20              Qsr Restaurants  \n",
       "21          Furniture And Decor  \n",
       "22      Apparel And Accessories  \n",
       "23              Qsr Restaurants  \n",
       "24      Apparel And Accessories  \n",
       "25      Apparel And Accessories  \n",
       "26              Qsr Restaurants  \n",
       "27          Furniture And Decor  \n",
       "28      Apparel And Accessories  \n",
       "29      Apparel And Accessories  \n",
       "...                         ...  \n",
       "107605  Apparel And Accessories  \n",
       "107606        Department Stores  \n",
       "107607          Qsr Restaurants  \n",
       "107608      Furniture And Decor  \n",
       "107609      Furniture And Decor  \n",
       "107610      Furniture And Decor  \n",
       "107611        Department Stores  \n",
       "107612          Qsr Restaurants  \n",
       "107613          Qsr Restaurants  \n",
       "107614        Department Stores  \n",
       "107615  Apparel And Accessories  \n",
       "107616      Furniture And Decor  \n",
       "107617      Furniture And Decor  \n",
       "107618          Qsr Restaurants  \n",
       "107619  Apparel And Accessories  \n",
       "107620      Furniture And Decor  \n",
       "107621  Apparel And Accessories  \n",
       "107622          Qsr Restaurants  \n",
       "107623  Apparel And Accessories  \n",
       "107624  Apparel And Accessories  \n",
       "107625  Apparel And Accessories  \n",
       "107626          Qsr Restaurants  \n",
       "107627      Furniture And Decor  \n",
       "107628          Qsr Restaurants  \n",
       "107629  Apparel And Accessories  \n",
       "107630        Department Stores  \n",
       "107631          Qsr Restaurants  \n",
       "107632  Apparel And Accessories  \n",
       "107633  Apparel And Accessories  \n",
       "107634      Furniture And Decor  \n",
       "\n",
       "[107635 rows x 5 columns]"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visiting_info2df = visiting_infodf.drop(['Store_Name', 'Store_Category_visited3', 'Store_Category_visited4'] , axis=1)\n",
    "visiting_info2df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">Floor_Index</th>\n",
       "      <th colspan=\"5\" halign=\"left\">latitude</th>\n",
       "      <th colspan=\"8\" halign=\"left\">longitude</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>...</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_ID</th>\n",
       "      <th>Store_Category_visited5</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Shopper_1</th>\n",
       "      <th>Apparel And Accessories</th>\n",
       "      <td>77.0</td>\n",
       "      <td>1.987013</td>\n",
       "      <td>0.966457</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>36.156489</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784052</td>\n",
       "      <td>37.784128</td>\n",
       "      <td>77.0</td>\n",
       "      <td>-117.148851</td>\n",
       "      <td>4.872088</td>\n",
       "      <td>-122.407207</td>\n",
       "      <td>-122.407076</td>\n",
       "      <td>-115.588650</td>\n",
       "      <td>-112.991200</td>\n",
       "      <td>-108.788102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department Stores</th>\n",
       "      <td>45.0</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>1.243163</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>29.450659</td>\n",
       "      <td>...</td>\n",
       "      <td>32.386375</td>\n",
       "      <td>33.565365</td>\n",
       "      <td>45.0</td>\n",
       "      <td>-95.436106</td>\n",
       "      <td>17.745141</td>\n",
       "      <td>-108.788161</td>\n",
       "      <td>-104.920369</td>\n",
       "      <td>-103.575168</td>\n",
       "      <td>-97.925622</td>\n",
       "      <td>-51.038836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Furniture And Decor</th>\n",
       "      <td>30.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>37.778767</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784109</td>\n",
       "      <td>37.784263</td>\n",
       "      <td>30.0</td>\n",
       "      <td>-122.402133</td>\n",
       "      <td>0.015500</td>\n",
       "      <td>-122.407302</td>\n",
       "      <td>-122.407162</td>\n",
       "      <td>-122.406884</td>\n",
       "      <td>-122.406457</td>\n",
       "      <td>-122.341798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Misc.</th>\n",
       "      <td>2.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>35.710597</td>\n",
       "      <td>...</td>\n",
       "      <td>35.733657</td>\n",
       "      <td>35.756717</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-115.759376</td>\n",
       "      <td>0.241615</td>\n",
       "      <td>-115.930223</td>\n",
       "      <td>-115.844800</td>\n",
       "      <td>-115.759376</td>\n",
       "      <td>-115.673952</td>\n",
       "      <td>-115.588529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Qsr Restaurants</th>\n",
       "      <td>35.0</td>\n",
       "      <td>1.714286</td>\n",
       "      <td>1.544848</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>36.537869</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784075</td>\n",
       "      <td>37.784158</td>\n",
       "      <td>35.0</td>\n",
       "      <td>-118.390572</td>\n",
       "      <td>5.530063</td>\n",
       "      <td>-122.407213</td>\n",
       "      <td>-122.407072</td>\n",
       "      <td>-122.406600</td>\n",
       "      <td>-113.215720</td>\n",
       "      <td>-108.805843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"8\" valign=\"top\">Shopper_10</th>\n",
       "      <th>Apparel And Accessories</th>\n",
       "      <td>46.0</td>\n",
       "      <td>1.021739</td>\n",
       "      <td>0.393792</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>37.101758</td>\n",
       "      <td>...</td>\n",
       "      <td>37.783770</td>\n",
       "      <td>37.784328</td>\n",
       "      <td>46.0</td>\n",
       "      <td>-120.204794</td>\n",
       "      <td>3.361541</td>\n",
       "      <td>-122.407400</td>\n",
       "      <td>-122.407024</td>\n",
       "      <td>-122.054583</td>\n",
       "      <td>-119.691652</td>\n",
       "      <td>-111.207019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department Stores</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>33.212029</td>\n",
       "      <td>...</td>\n",
       "      <td>33.212029</td>\n",
       "      <td>33.212029</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-107.594816</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-107.594816</td>\n",
       "      <td>-107.594816</td>\n",
       "      <td>-107.594816</td>\n",
       "      <td>-107.594816</td>\n",
       "      <td>-107.594816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Furniture And Decor</th>\n",
       "      <td>30.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.379049</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>37.667532</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784020</td>\n",
       "      <td>37.784315</td>\n",
       "      <td>30.0</td>\n",
       "      <td>-122.029319</td>\n",
       "      <td>0.521528</td>\n",
       "      <td>-122.407478</td>\n",
       "      <td>-122.407180</td>\n",
       "      <td>-122.405232</td>\n",
       "      <td>-121.734511</td>\n",
       "      <td>-120.918687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Misc.</th>\n",
       "      <td>4.0</td>\n",
       "      <td>3.250000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.25</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>35.543922</td>\n",
       "      <td>...</td>\n",
       "      <td>35.562603</td>\n",
       "      <td>36.843116</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-115.157020</td>\n",
       "      <td>2.801611</td>\n",
       "      <td>-119.357911</td>\n",
       "      <td>-115.210023</td>\n",
       "      <td>-113.809020</td>\n",
       "      <td>-113.756016</td>\n",
       "      <td>-113.652127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Qsr Restaurants</th>\n",
       "      <td>102.0</td>\n",
       "      <td>3.627451</td>\n",
       "      <td>1.042859</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>102.0</td>\n",
       "      <td>37.583907</td>\n",
       "      <td>...</td>\n",
       "      <td>37.783626</td>\n",
       "      <td>37.784581</td>\n",
       "      <td>102.0</td>\n",
       "      <td>-121.774151</td>\n",
       "      <td>1.650523</td>\n",
       "      <td>-122.407199</td>\n",
       "      <td>-122.406097</td>\n",
       "      <td>-122.405242</td>\n",
       "      <td>-122.367162</td>\n",
       "      <td>-110.472823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shoe Stores</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.067269</td>\n",
       "      <td>...</td>\n",
       "      <td>37.067269</td>\n",
       "      <td>37.067269</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-120.083838</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-120.083838</td>\n",
       "      <td>-120.083838</td>\n",
       "      <td>-120.083838</td>\n",
       "      <td>-120.083838</td>\n",
       "      <td>-120.083838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sports Stores</th>\n",
       "      <td>2.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.414214</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.50</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.50</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>34.501078</td>\n",
       "      <td>...</td>\n",
       "      <td>34.508185</td>\n",
       "      <td>34.515291</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-111.770999</td>\n",
       "      <td>0.065100</td>\n",
       "      <td>-111.817032</td>\n",
       "      <td>-111.794016</td>\n",
       "      <td>-111.770999</td>\n",
       "      <td>-111.747983</td>\n",
       "      <td>-111.724967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toy Stores</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>37.152372</td>\n",
       "      <td>...</td>\n",
       "      <td>37.152372</td>\n",
       "      <td>37.152372</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-120.359121</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-120.359121</td>\n",
       "      <td>-120.359121</td>\n",
       "      <td>-120.359121</td>\n",
       "      <td>-120.359121</td>\n",
       "      <td>-120.359121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">Shopper_100</th>\n",
       "      <th>Apparel And Accessories</th>\n",
       "      <td>62.0</td>\n",
       "      <td>1.129032</td>\n",
       "      <td>0.424027</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>36.612258</td>\n",
       "      <td>...</td>\n",
       "      <td>37.783998</td>\n",
       "      <td>37.784218</td>\n",
       "      <td>62.0</td>\n",
       "      <td>-118.629504</td>\n",
       "      <td>4.212967</td>\n",
       "      <td>-122.407290</td>\n",
       "      <td>-122.407081</td>\n",
       "      <td>-120.034203</td>\n",
       "      <td>-115.588506</td>\n",
       "      <td>-108.770009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department Stores</th>\n",
       "      <td>24.0</td>\n",
       "      <td>1.708333</td>\n",
       "      <td>1.488482</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.50</td>\n",
       "      <td>4.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>31.092679</td>\n",
       "      <td>...</td>\n",
       "      <td>32.113147</td>\n",
       "      <td>33.060997</td>\n",
       "      <td>24.0</td>\n",
       "      <td>-100.772750</td>\n",
       "      <td>5.496766</td>\n",
       "      <td>-107.106212</td>\n",
       "      <td>-104.137817</td>\n",
       "      <td>-102.020724</td>\n",
       "      <td>-99.019765</td>\n",
       "      <td>-89.635038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Furniture And Decor</th>\n",
       "      <td>60.0</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.543061</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>37.735908</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784135</td>\n",
       "      <td>37.784440</td>\n",
       "      <td>60.0</td>\n",
       "      <td>-122.265843</td>\n",
       "      <td>0.732081</td>\n",
       "      <td>-122.407540</td>\n",
       "      <td>-122.407228</td>\n",
       "      <td>-122.407142</td>\n",
       "      <td>-122.406502</td>\n",
       "      <td>-118.356403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Misc.</th>\n",
       "      <td>5.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>35.609871</td>\n",
       "      <td>...</td>\n",
       "      <td>35.756956</td>\n",
       "      <td>36.541675</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-115.399507</td>\n",
       "      <td>1.855742</td>\n",
       "      <td>-118.437238</td>\n",
       "      <td>-115.929999</td>\n",
       "      <td>-114.291633</td>\n",
       "      <td>-114.246270</td>\n",
       "      <td>-114.092396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Qsr Restaurants</th>\n",
       "      <td>31.0</td>\n",
       "      <td>1.096774</td>\n",
       "      <td>1.619770</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>36.481703</td>\n",
       "      <td>...</td>\n",
       "      <td>37.735136</td>\n",
       "      <td>37.784454</td>\n",
       "      <td>31.0</td>\n",
       "      <td>-118.221014</td>\n",
       "      <td>3.551025</td>\n",
       "      <td>-122.407223</td>\n",
       "      <td>-122.363254</td>\n",
       "      <td>-118.314449</td>\n",
       "      <td>-116.854509</td>\n",
       "      <td>-110.150017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shoe Stores</th>\n",
       "      <td>4.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>36.597220</td>\n",
       "      <td>...</td>\n",
       "      <td>36.610081</td>\n",
       "      <td>36.939591</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-118.577261</td>\n",
       "      <td>0.731848</td>\n",
       "      <td>-119.670027</td>\n",
       "      <td>-118.646207</td>\n",
       "      <td>-118.251570</td>\n",
       "      <td>-118.182624</td>\n",
       "      <td>-118.135877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sports Stores</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.453670</td>\n",
       "      <td>...</td>\n",
       "      <td>34.453670</td>\n",
       "      <td>34.453670</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-111.630196</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-111.630196</td>\n",
       "      <td>-111.630196</td>\n",
       "      <td>-111.630196</td>\n",
       "      <td>-111.630196</td>\n",
       "      <td>-111.630196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Shopper_101</th>\n",
       "      <th>Apparel And Accessories</th>\n",
       "      <td>94.0</td>\n",
       "      <td>1.744681</td>\n",
       "      <td>0.960915</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>37.553805</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784054</td>\n",
       "      <td>37.784189</td>\n",
       "      <td>94.0</td>\n",
       "      <td>-121.670672</td>\n",
       "      <td>2.650024</td>\n",
       "      <td>-122.407307</td>\n",
       "      <td>-122.407162</td>\n",
       "      <td>-122.407121</td>\n",
       "      <td>-122.406909</td>\n",
       "      <td>-108.770104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department Stores</th>\n",
       "      <td>6.0</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.836660</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.75</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>32.820096</td>\n",
       "      <td>...</td>\n",
       "      <td>33.032302</td>\n",
       "      <td>33.061716</td>\n",
       "      <td>6.0</td>\n",
       "      <td>-106.381113</td>\n",
       "      <td>0.876089</td>\n",
       "      <td>-107.106975</td>\n",
       "      <td>-107.080708</td>\n",
       "      <td>-106.564921</td>\n",
       "      <td>-106.048165</td>\n",
       "      <td>-104.921312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Furniture And Decor</th>\n",
       "      <td>40.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>37.783316</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784120</td>\n",
       "      <td>37.784732</td>\n",
       "      <td>40.0</td>\n",
       "      <td>-122.406424</td>\n",
       "      <td>0.004670</td>\n",
       "      <td>-122.408006</td>\n",
       "      <td>-122.407201</td>\n",
       "      <td>-122.407141</td>\n",
       "      <td>-122.407086</td>\n",
       "      <td>-122.377675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Qsr Restaurants</th>\n",
       "      <td>43.0</td>\n",
       "      <td>1.953488</td>\n",
       "      <td>0.304997</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>37.693009</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784070</td>\n",
       "      <td>37.784134</td>\n",
       "      <td>43.0</td>\n",
       "      <td>-122.119749</td>\n",
       "      <td>1.866188</td>\n",
       "      <td>-122.407331</td>\n",
       "      <td>-122.407200</td>\n",
       "      <td>-122.407165</td>\n",
       "      <td>-122.407099</td>\n",
       "      <td>-110.167013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Shopper_102</th>\n",
       "      <th>Apparel And Accessories</th>\n",
       "      <td>28.0</td>\n",
       "      <td>1.464286</td>\n",
       "      <td>0.792658</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>37.320821</td>\n",
       "      <td>...</td>\n",
       "      <td>37.783997</td>\n",
       "      <td>37.784543</td>\n",
       "      <td>28.0</td>\n",
       "      <td>-120.947509</td>\n",
       "      <td>2.359052</td>\n",
       "      <td>-122.407235</td>\n",
       "      <td>-122.407033</td>\n",
       "      <td>-122.388999</td>\n",
       "      <td>-118.231646</td>\n",
       "      <td>-116.254149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Furniture And Decor</th>\n",
       "      <td>9.0</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>1.322876</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>37.461707</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784009</td>\n",
       "      <td>37.784135</td>\n",
       "      <td>9.0</td>\n",
       "      <td>-121.389519</td>\n",
       "      <td>2.003862</td>\n",
       "      <td>-122.407478</td>\n",
       "      <td>-122.407165</td>\n",
       "      <td>-122.407137</td>\n",
       "      <td>-122.372530</td>\n",
       "      <td>-117.849102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Qsr Restaurants</th>\n",
       "      <td>142.0</td>\n",
       "      <td>3.788732</td>\n",
       "      <td>0.661301</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>37.689737</td>\n",
       "      <td>...</td>\n",
       "      <td>37.747521</td>\n",
       "      <td>37.784546</td>\n",
       "      <td>142.0</td>\n",
       "      <td>-122.211629</td>\n",
       "      <td>0.909391</td>\n",
       "      <td>-122.407168</td>\n",
       "      <td>-122.374318</td>\n",
       "      <td>-122.366150</td>\n",
       "      <td>-122.347669</td>\n",
       "      <td>-115.930315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shoe Stores</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>36.432189</td>\n",
       "      <td>...</td>\n",
       "      <td>36.444058</td>\n",
       "      <td>36.455927</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-118.087669</td>\n",
       "      <td>0.107136</td>\n",
       "      <td>-118.163425</td>\n",
       "      <td>-118.125547</td>\n",
       "      <td>-118.087669</td>\n",
       "      <td>-118.049790</td>\n",
       "      <td>-118.011912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Shopper_103</th>\n",
       "      <th>Apparel And Accessories</th>\n",
       "      <td>75.0</td>\n",
       "      <td>1.720000</td>\n",
       "      <td>0.966465</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>37.690420</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784149</td>\n",
       "      <td>37.784767</td>\n",
       "      <td>75.0</td>\n",
       "      <td>-122.119309</td>\n",
       "      <td>1.151921</td>\n",
       "      <td>-122.407177</td>\n",
       "      <td>-122.407115</td>\n",
       "      <td>-122.406533</td>\n",
       "      <td>-122.391291</td>\n",
       "      <td>-116.772124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Furniture And Decor</th>\n",
       "      <td>17.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>37.778306</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784090</td>\n",
       "      <td>37.784363</td>\n",
       "      <td>17.0</td>\n",
       "      <td>-122.401989</td>\n",
       "      <td>0.010209</td>\n",
       "      <td>-122.407172</td>\n",
       "      <td>-122.407122</td>\n",
       "      <td>-122.407090</td>\n",
       "      <td>-122.406901</td>\n",
       "      <td>-122.374733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\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>Shopper_94</th>\n",
       "      <th>Qsr Restaurants</th>\n",
       "      <td>64.0</td>\n",
       "      <td>2.093750</td>\n",
       "      <td>0.659936</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>37.670738</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784109</td>\n",
       "      <td>37.784701</td>\n",
       "      <td>64.0</td>\n",
       "      <td>-122.041440</td>\n",
       "      <td>2.054486</td>\n",
       "      <td>-122.408343</td>\n",
       "      <td>-122.407201</td>\n",
       "      <td>-122.407128</td>\n",
       "      <td>-122.406997</td>\n",
       "      <td>-110.133669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Shopper_95</th>\n",
       "      <th>Apparel And Accessories</th>\n",
       "      <td>116.0</td>\n",
       "      <td>1.396552</td>\n",
       "      <td>0.778843</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>116.0</td>\n",
       "      <td>37.527560</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784018</td>\n",
       "      <td>37.784166</td>\n",
       "      <td>116.0</td>\n",
       "      <td>-121.597041</td>\n",
       "      <td>2.831938</td>\n",
       "      <td>-122.407290</td>\n",
       "      <td>-122.407165</td>\n",
       "      <td>-122.407134</td>\n",
       "      <td>-122.407036</td>\n",
       "      <td>-108.770085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department Stores</th>\n",
       "      <td>3.0</td>\n",
       "      <td>3.333333</td>\n",
       "      <td>1.154701</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>32.258213</td>\n",
       "      <td>...</td>\n",
       "      <td>32.674522</td>\n",
       "      <td>33.015045</td>\n",
       "      <td>3.0</td>\n",
       "      <td>-104.630058</td>\n",
       "      <td>2.565760</td>\n",
       "      <td>-107.065429</td>\n",
       "      <td>-105.969457</td>\n",
       "      <td>-104.873485</td>\n",
       "      <td>-103.412373</td>\n",
       "      <td>-101.951261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Furniture And Decor</th>\n",
       "      <td>23.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>37.784039</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784041</td>\n",
       "      <td>37.784414</td>\n",
       "      <td>23.0</td>\n",
       "      <td>-122.407163</td>\n",
       "      <td>0.000106</td>\n",
       "      <td>-122.407478</td>\n",
       "      <td>-122.407193</td>\n",
       "      <td>-122.407164</td>\n",
       "      <td>-122.407132</td>\n",
       "      <td>-122.406863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Qsr Restaurants</th>\n",
       "      <td>42.0</td>\n",
       "      <td>2.047619</td>\n",
       "      <td>0.696765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>37.606900</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784022</td>\n",
       "      <td>37.784602</td>\n",
       "      <td>42.0</td>\n",
       "      <td>-121.875608</td>\n",
       "      <td>2.351319</td>\n",
       "      <td>-122.407319</td>\n",
       "      <td>-122.407144</td>\n",
       "      <td>-122.407059</td>\n",
       "      <td>-122.362295</td>\n",
       "      <td>-110.166285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sports Stores</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.604708</td>\n",
       "      <td>...</td>\n",
       "      <td>34.604708</td>\n",
       "      <td>34.604708</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-112.179352</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-112.179352</td>\n",
       "      <td>-112.179352</td>\n",
       "      <td>-112.179352</td>\n",
       "      <td>-112.179352</td>\n",
       "      <td>-112.179352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"6\" valign=\"top\">Shopper_96</th>\n",
       "      <th>Apparel And Accessories</th>\n",
       "      <td>86.0</td>\n",
       "      <td>1.930233</td>\n",
       "      <td>0.991620</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>37.468314</td>\n",
       "      <td>...</td>\n",
       "      <td>37.783987</td>\n",
       "      <td>37.784874</td>\n",
       "      <td>86.0</td>\n",
       "      <td>-121.420943</td>\n",
       "      <td>2.664117</td>\n",
       "      <td>-122.407357</td>\n",
       "      <td>-122.406906</td>\n",
       "      <td>-122.389992</td>\n",
       "      <td>-122.371944</td>\n",
       "      <td>-110.166851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department Stores</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.25</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>33.200455</td>\n",
       "      <td>...</td>\n",
       "      <td>33.339316</td>\n",
       "      <td>33.339455</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-107.556726</td>\n",
       "      <td>0.519625</td>\n",
       "      <td>-108.006986</td>\n",
       "      <td>-108.006608</td>\n",
       "      <td>-107.556738</td>\n",
       "      <td>-107.106856</td>\n",
       "      <td>-107.106439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Furniture And Decor</th>\n",
       "      <td>35.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>37.759534</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784082</td>\n",
       "      <td>37.784873</td>\n",
       "      <td>35.0</td>\n",
       "      <td>-122.345866</td>\n",
       "      <td>0.222513</td>\n",
       "      <td>-122.407520</td>\n",
       "      <td>-122.407174</td>\n",
       "      <td>-122.407048</td>\n",
       "      <td>-122.393173</td>\n",
       "      <td>-121.448674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Misc.</th>\n",
       "      <td>2.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>36.004271</td>\n",
       "      <td>...</td>\n",
       "      <td>36.236379</td>\n",
       "      <td>36.468487</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-116.680247</td>\n",
       "      <td>2.111598</td>\n",
       "      <td>-118.173373</td>\n",
       "      <td>-117.426810</td>\n",
       "      <td>-116.680247</td>\n",
       "      <td>-115.933684</td>\n",
       "      <td>-115.187122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Qsr Restaurants</th>\n",
       "      <td>63.0</td>\n",
       "      <td>2.603175</td>\n",
       "      <td>1.326403</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>37.440598</td>\n",
       "      <td>...</td>\n",
       "      <td>37.783975</td>\n",
       "      <td>37.784875</td>\n",
       "      <td>63.0</td>\n",
       "      <td>-121.341025</td>\n",
       "      <td>2.695937</td>\n",
       "      <td>-122.407241</td>\n",
       "      <td>-122.406590</td>\n",
       "      <td>-122.383588</td>\n",
       "      <td>-122.347449</td>\n",
       "      <td>-108.006986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shoe Stores</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>36.632803</td>\n",
       "      <td>...</td>\n",
       "      <td>36.692903</td>\n",
       "      <td>36.753004</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-118.702133</td>\n",
       "      <td>0.546657</td>\n",
       "      <td>-119.088678</td>\n",
       "      <td>-118.895405</td>\n",
       "      <td>-118.702133</td>\n",
       "      <td>-118.508860</td>\n",
       "      <td>-118.315588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">Shopper_97</th>\n",
       "      <th>Apparel And Accessories</th>\n",
       "      <td>65.0</td>\n",
       "      <td>1.984615</td>\n",
       "      <td>0.874863</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>36.603368</td>\n",
       "      <td>...</td>\n",
       "      <td>37.783967</td>\n",
       "      <td>37.784282</td>\n",
       "      <td>65.0</td>\n",
       "      <td>-118.609391</td>\n",
       "      <td>4.593765</td>\n",
       "      <td>-122.407285</td>\n",
       "      <td>-122.407059</td>\n",
       "      <td>-122.371663</td>\n",
       "      <td>-115.168220</td>\n",
       "      <td>-108.806078</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department Stores</th>\n",
       "      <td>29.0</td>\n",
       "      <td>1.206897</td>\n",
       "      <td>1.145778</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>28.308018</td>\n",
       "      <td>...</td>\n",
       "      <td>32.299168</td>\n",
       "      <td>33.037483</td>\n",
       "      <td>29.0</td>\n",
       "      <td>-91.715478</td>\n",
       "      <td>19.217187</td>\n",
       "      <td>-107.082181</td>\n",
       "      <td>-104.637283</td>\n",
       "      <td>-101.113600</td>\n",
       "      <td>-86.438987</td>\n",
       "      <td>-47.582202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Furniture And Decor</th>\n",
       "      <td>24.0</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.612372</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>37.719674</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784075</td>\n",
       "      <td>37.784732</td>\n",
       "      <td>24.0</td>\n",
       "      <td>-122.213299</td>\n",
       "      <td>0.906223</td>\n",
       "      <td>-122.407160</td>\n",
       "      <td>-122.407087</td>\n",
       "      <td>-122.406980</td>\n",
       "      <td>-122.385898</td>\n",
       "      <td>-117.959460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Misc.</th>\n",
       "      <td>1.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.240852</td>\n",
       "      <td>...</td>\n",
       "      <td>35.240852</td>\n",
       "      <td>35.240852</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-114.224482</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-114.224482</td>\n",
       "      <td>-114.224482</td>\n",
       "      <td>-114.224482</td>\n",
       "      <td>-114.224482</td>\n",
       "      <td>-114.224482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Qsr Restaurants</th>\n",
       "      <td>64.0</td>\n",
       "      <td>1.625000</td>\n",
       "      <td>1.374369</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>36.679874</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784017</td>\n",
       "      <td>37.784639</td>\n",
       "      <td>64.0</td>\n",
       "      <td>-118.848803</td>\n",
       "      <td>4.958888</td>\n",
       "      <td>-122.407157</td>\n",
       "      <td>-122.406805</td>\n",
       "      <td>-122.372711</td>\n",
       "      <td>-113.474937</td>\n",
       "      <td>-108.806012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shoe Stores</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>36.692025</td>\n",
       "      <td>...</td>\n",
       "      <td>36.692025</td>\n",
       "      <td>36.692025</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-119.079427</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-119.079427</td>\n",
       "      <td>-119.079427</td>\n",
       "      <td>-119.079427</td>\n",
       "      <td>-119.079427</td>\n",
       "      <td>-119.079427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sports Stores</th>\n",
       "      <td>4.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>34.517000</td>\n",
       "      <td>...</td>\n",
       "      <td>34.525225</td>\n",
       "      <td>34.604944</td>\n",
       "      <td>4.0</td>\n",
       "      <td>-111.858637</td>\n",
       "      <td>0.214181</td>\n",
       "      <td>-112.179074</td>\n",
       "      <td>-111.866816</td>\n",
       "      <td>-111.762725</td>\n",
       "      <td>-111.754545</td>\n",
       "      <td>-111.730023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Shopper_98</th>\n",
       "      <th>Apparel And Accessories</th>\n",
       "      <td>73.0</td>\n",
       "      <td>1.575342</td>\n",
       "      <td>0.926730</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>37.682702</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784073</td>\n",
       "      <td>37.784564</td>\n",
       "      <td>73.0</td>\n",
       "      <td>-122.078688</td>\n",
       "      <td>1.597942</td>\n",
       "      <td>-122.407302</td>\n",
       "      <td>-122.407129</td>\n",
       "      <td>-122.407062</td>\n",
       "      <td>-122.407008</td>\n",
       "      <td>-114.246510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department Stores</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>32.723734</td>\n",
       "      <td>...</td>\n",
       "      <td>32.892415</td>\n",
       "      <td>33.061097</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-106.013077</td>\n",
       "      <td>1.545619</td>\n",
       "      <td>-107.105995</td>\n",
       "      <td>-106.559536</td>\n",
       "      <td>-106.013077</td>\n",
       "      <td>-105.466618</td>\n",
       "      <td>-104.920159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Furniture And Decor</th>\n",
       "      <td>66.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>37.784064</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784104</td>\n",
       "      <td>37.784350</td>\n",
       "      <td>66.0</td>\n",
       "      <td>-122.407054</td>\n",
       "      <td>0.000222</td>\n",
       "      <td>-122.407478</td>\n",
       "      <td>-122.407148</td>\n",
       "      <td>-122.407082</td>\n",
       "      <td>-122.407031</td>\n",
       "      <td>-122.406377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Qsr Restaurants</th>\n",
       "      <td>49.0</td>\n",
       "      <td>1.959184</td>\n",
       "      <td>0.644179</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>37.597520</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784058</td>\n",
       "      <td>37.784289</td>\n",
       "      <td>49.0</td>\n",
       "      <td>-121.803871</td>\n",
       "      <td>2.075032</td>\n",
       "      <td>-122.407399</td>\n",
       "      <td>-122.407297</td>\n",
       "      <td>-122.407139</td>\n",
       "      <td>-122.407031</td>\n",
       "      <td>-112.991066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"7\" valign=\"top\">Shopper_99</th>\n",
       "      <th>Apparel And Accessories</th>\n",
       "      <td>70.0</td>\n",
       "      <td>1.542857</td>\n",
       "      <td>0.862852</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>36.761660</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784005</td>\n",
       "      <td>37.785318</td>\n",
       "      <td>70.0</td>\n",
       "      <td>-119.117467</td>\n",
       "      <td>3.934694</td>\n",
       "      <td>-122.409686</td>\n",
       "      <td>-122.406563</td>\n",
       "      <td>-122.089207</td>\n",
       "      <td>-116.027978</td>\n",
       "      <td>-109.504599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department Stores</th>\n",
       "      <td>2.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>33.701824</td>\n",
       "      <td>...</td>\n",
       "      <td>33.780174</td>\n",
       "      <td>33.858523</td>\n",
       "      <td>2.0</td>\n",
       "      <td>-109.255416</td>\n",
       "      <td>0.686366</td>\n",
       "      <td>-109.740750</td>\n",
       "      <td>-109.498083</td>\n",
       "      <td>-109.255416</td>\n",
       "      <td>-109.012749</td>\n",
       "      <td>-108.770082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Furniture And Decor</th>\n",
       "      <td>52.0</td>\n",
       "      <td>0.057692</td>\n",
       "      <td>0.416025</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>37.751114</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784197</td>\n",
       "      <td>37.785072</td>\n",
       "      <td>52.0</td>\n",
       "      <td>-122.305299</td>\n",
       "      <td>0.559859</td>\n",
       "      <td>-122.409203</td>\n",
       "      <td>-122.407053</td>\n",
       "      <td>-122.407014</td>\n",
       "      <td>-122.406560</td>\n",
       "      <td>-118.408601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Misc.</th>\n",
       "      <td>8.0</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>35.018338</td>\n",
       "      <td>...</td>\n",
       "      <td>35.175016</td>\n",
       "      <td>35.540035</td>\n",
       "      <td>8.0</td>\n",
       "      <td>-113.508869</td>\n",
       "      <td>0.940142</td>\n",
       "      <td>-115.187127</td>\n",
       "      <td>-114.013028</td>\n",
       "      <td>-113.303099</td>\n",
       "      <td>-112.965788</td>\n",
       "      <td>-112.179028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Qsr Restaurants</th>\n",
       "      <td>52.0</td>\n",
       "      <td>2.461538</td>\n",
       "      <td>1.349823</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>37.467804</td>\n",
       "      <td>...</td>\n",
       "      <td>37.784019</td>\n",
       "      <td>37.784623</td>\n",
       "      <td>52.0</td>\n",
       "      <td>-121.406259</td>\n",
       "      <td>2.331640</td>\n",
       "      <td>-122.407265</td>\n",
       "      <td>-122.407084</td>\n",
       "      <td>-122.406318</td>\n",
       "      <td>-122.233395</td>\n",
       "      <td>-111.466124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shoe Stores</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>36.693097</td>\n",
       "      <td>...</td>\n",
       "      <td>36.716910</td>\n",
       "      <td>36.731214</td>\n",
       "      <td>5.0</td>\n",
       "      <td>-118.872381</td>\n",
       "      <td>0.106339</td>\n",
       "      <td>-118.996073</td>\n",
       "      <td>-118.949556</td>\n",
       "      <td>-118.870026</td>\n",
       "      <td>-118.819317</td>\n",
       "      <td>-118.726933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sports Stores</th>\n",
       "      <td>1.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>34.368756</td>\n",
       "      <td>...</td>\n",
       "      <td>34.368756</td>\n",
       "      <td>34.368756</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-111.386886</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-111.386886</td>\n",
       "      <td>-111.386886</td>\n",
       "      <td>-111.386886</td>\n",
       "      <td>-111.386886</td>\n",
       "      <td>-111.386886</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2923 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    Floor_Index                           \\\n",
       "                                          count      mean       std  min   \n",
       "Shopper_ID  Store_Category_visited5                                        \n",
       "Shopper_1   Apparel And Accessories        77.0  1.987013  0.966457  0.0   \n",
       "            Department Stores              45.0  1.333333  1.243163  0.0   \n",
       "            Furniture And Decor            30.0  0.000000  0.000000  0.0   \n",
       "            Misc.                           2.0  4.000000  0.000000  4.0   \n",
       "            Qsr Restaurants                35.0  1.714286  1.544848  0.0   \n",
       "Shopper_10  Apparel And Accessories        46.0  1.021739  0.393792  0.0   \n",
       "            Department Stores               1.0  4.000000       NaN  4.0   \n",
       "            Furniture And Decor            30.0  0.166667  0.379049  0.0   \n",
       "            Misc.                           4.0  3.250000  1.500000  1.0   \n",
       "            Qsr Restaurants               102.0  3.627451  1.042859  0.0   \n",
       "            Shoe Stores                     1.0  2.000000       NaN  2.0   \n",
       "            Sports Stores                   2.0  3.000000  1.414214  2.0   \n",
       "            Toy Stores                      1.0  0.000000       NaN  0.0   \n",
       "Shopper_100 Apparel And Accessories        62.0  1.129032  0.424027  0.0   \n",
       "            Department Stores              24.0  1.708333  1.488482  0.0   \n",
       "            Furniture And Decor            60.0  0.100000  0.543061  0.0   \n",
       "            Misc.                           5.0  4.000000  0.000000  4.0   \n",
       "            Qsr Restaurants                31.0  1.096774  1.619770  0.0   \n",
       "            Shoe Stores                     4.0  2.000000  0.000000  2.0   \n",
       "            Sports Stores                   1.0  2.000000       NaN  2.0   \n",
       "Shopper_101 Apparel And Accessories        94.0  1.744681  0.960915  1.0   \n",
       "            Department Stores               6.0  0.500000  0.836660  0.0   \n",
       "            Furniture And Decor            40.0  0.000000  0.000000  0.0   \n",
       "            Qsr Restaurants                43.0  1.953488  0.304997  0.0   \n",
       "Shopper_102 Apparel And Accessories        28.0  1.464286  0.792658  1.0   \n",
       "            Furniture And Decor             9.0  0.666667  1.322876  0.0   \n",
       "            Qsr Restaurants               142.0  3.788732  0.661301  0.0   \n",
       "            Shoe Stores                     2.0  2.000000  0.000000  2.0   \n",
       "Shopper_103 Apparel And Accessories        75.0  1.720000  0.966465  1.0   \n",
       "            Furniture And Decor            17.0  0.000000  0.000000  0.0   \n",
       "...                                         ...       ...       ...  ...   \n",
       "Shopper_94  Qsr Restaurants                64.0  2.093750  0.659936  0.0   \n",
       "Shopper_95  Apparel And Accessories       116.0  1.396552  0.778843  1.0   \n",
       "            Department Stores               3.0  3.333333  1.154701  2.0   \n",
       "            Furniture And Decor            23.0  0.000000  0.000000  0.0   \n",
       "            Qsr Restaurants                42.0  2.047619  0.696765  0.0   \n",
       "            Sports Stores                   1.0  2.000000       NaN  2.0   \n",
       "Shopper_96  Apparel And Accessories        86.0  1.930233  0.991620  1.0   \n",
       "            Department Stores               4.0  1.250000  0.500000  1.0   \n",
       "            Furniture And Decor            35.0  0.000000  0.000000  0.0   \n",
       "            Misc.                           2.0  4.000000  0.000000  4.0   \n",
       "            Qsr Restaurants                63.0  2.603175  1.326403  0.0   \n",
       "            Shoe Stores                     2.0  2.000000  0.000000  2.0   \n",
       "Shopper_97  Apparel And Accessories        65.0  1.984615  0.874863  1.0   \n",
       "            Department Stores              29.0  1.206897  1.145778  0.0   \n",
       "            Furniture And Decor            24.0  0.125000  0.612372  0.0   \n",
       "            Misc.                           1.0  4.000000       NaN  4.0   \n",
       "            Qsr Restaurants                64.0  1.625000  1.374369  0.0   \n",
       "            Shoe Stores                     1.0  2.000000       NaN  2.0   \n",
       "            Sports Stores                   4.0  2.000000  0.000000  2.0   \n",
       "Shopper_98  Apparel And Accessories        73.0  1.575342  0.926730  0.0   \n",
       "            Department Stores               2.0  1.000000  0.000000  1.0   \n",
       "            Furniture And Decor            66.0  0.000000  0.000000  0.0   \n",
       "            Qsr Restaurants                49.0  1.959184  0.644179  0.0   \n",
       "Shopper_99  Apparel And Accessories        70.0  1.542857  0.862852  1.0   \n",
       "            Department Stores               2.0  4.000000  0.000000  4.0   \n",
       "            Furniture And Decor            52.0  0.057692  0.416025  0.0   \n",
       "            Misc.                           8.0  4.000000  0.000000  4.0   \n",
       "            Qsr Restaurants                52.0  2.461538  1.349823  0.0   \n",
       "            Shoe Stores                     5.0  2.000000  0.000000  2.0   \n",
       "            Sports Stores                   1.0  2.000000       NaN  2.0   \n",
       "\n",
       "                                                          latitude             \\\n",
       "                                      25%  50%   75%  max    count       mean   \n",
       "Shopper_ID  Store_Category_visited5                                             \n",
       "Shopper_1   Apparel And Accessories  1.00  2.0  3.00  3.0     77.0  36.156489   \n",
       "            Department Stores        0.00  1.0  2.00  4.0     45.0  29.450659   \n",
       "            Furniture And Decor      0.00  0.0  0.00  0.0     30.0  37.778767   \n",
       "            Misc.                    4.00  4.0  4.00  4.0      2.0  35.710597   \n",
       "            Qsr Restaurants          0.00  2.0  2.00  4.0     35.0  36.537869   \n",
       "Shopper_10  Apparel And Accessories  1.00  1.0  1.00  2.0     46.0  37.101758   \n",
       "            Department Stores        4.00  4.0  4.00  4.0      1.0  33.212029   \n",
       "            Furniture And Decor      0.00  0.0  0.00  1.0     30.0  37.667532   \n",
       "            Misc.                    3.25  4.0  4.00  4.0      4.0  35.543922   \n",
       "            Qsr Restaurants          4.00  4.0  4.00  4.0    102.0  37.583907   \n",
       "            Shoe Stores              2.00  2.0  2.00  2.0      1.0  37.067269   \n",
       "            Sports Stores            2.50  3.0  3.50  4.0      2.0  34.501078   \n",
       "            Toy Stores               0.00  0.0  0.00  0.0      1.0  37.152372   \n",
       "Shopper_100 Apparel And Accessories  1.00  1.0  1.00  3.0     62.0  36.612258   \n",
       "            Department Stores        1.00  1.0  2.50  4.0     24.0  31.092679   \n",
       "            Furniture And Decor      0.00  0.0  0.00  3.0     60.0  37.735908   \n",
       "            Misc.                    4.00  4.0  4.00  4.0      5.0  35.609871   \n",
       "            Qsr Restaurants          0.00  0.0  2.00  4.0     31.0  36.481703   \n",
       "            Shoe Stores              2.00  2.0  2.00  2.0      4.0  36.597220   \n",
       "            Sports Stores            2.00  2.0  2.00  2.0      1.0  34.453670   \n",
       "Shopper_101 Apparel And Accessories  1.00  1.0  3.00  3.0     94.0  37.553805   \n",
       "            Department Stores        0.00  0.0  0.75  2.0      6.0  32.820096   \n",
       "            Furniture And Decor      0.00  0.0  0.00  0.0     40.0  37.783316   \n",
       "            Qsr Restaurants          2.00  2.0  2.00  2.0     43.0  37.693009   \n",
       "Shopper_102 Apparel And Accessories  1.00  1.0  2.00  3.0     28.0  37.320821   \n",
       "            Furniture And Decor      0.00  0.0  0.00  3.0      9.0  37.461707   \n",
       "            Qsr Restaurants          4.00  4.0  4.00  4.0    142.0  37.689737   \n",
       "            Shoe Stores              2.00  2.0  2.00  2.0      2.0  36.432189   \n",
       "Shopper_103 Apparel And Accessories  1.00  1.0  3.00  3.0     75.0  37.690420   \n",
       "            Furniture And Decor      0.00  0.0  0.00  0.0     17.0  37.778306   \n",
       "...                                   ...  ...   ...  ...      ...        ...   \n",
       "Shopper_94  Qsr Restaurants          2.00  2.0  2.00  4.0     64.0  37.670738   \n",
       "Shopper_95  Apparel And Accessories  1.00  1.0  1.00  3.0    116.0  37.527560   \n",
       "            Department Stores        3.00  4.0  4.00  4.0      3.0  32.258213   \n",
       "            Furniture And Decor      0.00  0.0  0.00  0.0     23.0  37.784039   \n",
       "            Qsr Restaurants          2.00  2.0  2.00  4.0     42.0  37.606900   \n",
       "            Sports Stores            2.00  2.0  2.00  2.0      1.0  34.604708   \n",
       "Shopper_96  Apparel And Accessories  1.00  1.0  3.00  3.0     86.0  37.468314   \n",
       "            Department Stores        1.00  1.0  1.25  2.0      4.0  33.200455   \n",
       "            Furniture And Decor      0.00  0.0  0.00  0.0     35.0  37.759534   \n",
       "            Misc.                    4.00  4.0  4.00  4.0      2.0  36.004271   \n",
       "            Qsr Restaurants          2.00  2.0  4.00  4.0     63.0  37.440598   \n",
       "            Shoe Stores              2.00  2.0  2.00  2.0      2.0  36.632803   \n",
       "Shopper_97  Apparel And Accessories  1.00  2.0  3.00  4.0     65.0  36.603368   \n",
       "            Department Stores        0.00  1.0  2.00  4.0     29.0  28.308018   \n",
       "            Furniture And Decor      0.00  0.0  0.00  3.0     24.0  37.719674   \n",
       "            Misc.                    4.00  4.0  4.00  4.0      1.0  35.240852   \n",
       "            Qsr Restaurants          0.00  2.0  2.00  4.0     64.0  36.679874   \n",
       "            Shoe Stores              2.00  2.0  2.00  2.0      1.0  36.692025   \n",
       "            Sports Stores            2.00  2.0  2.00  2.0      4.0  34.517000   \n",
       "Shopper_98  Apparel And Accessories  1.00  1.0  3.00  3.0     73.0  37.682702   \n",
       "            Department Stores        1.00  1.0  1.00  1.0      2.0  32.723734   \n",
       "            Furniture And Decor      0.00  0.0  0.00  0.0     66.0  37.784064   \n",
       "            Qsr Restaurants          2.00  2.0  2.00  4.0     49.0  37.597520   \n",
       "Shopper_99  Apparel And Accessories  1.00  1.0  2.00  4.0     70.0  36.761660   \n",
       "            Department Stores        4.00  4.0  4.00  4.0      2.0  33.701824   \n",
       "            Furniture And Decor      0.00  0.0  0.00  3.0     52.0  37.751114   \n",
       "            Misc.                    4.00  4.0  4.00  4.0      8.0  35.018338   \n",
       "            Qsr Restaurants          2.00  2.0  4.00  4.0     52.0  37.467804   \n",
       "            Shoe Stores              2.00  2.0  2.00  2.0      5.0  36.693097   \n",
       "            Sports Stores            2.00  2.0  2.00  2.0      1.0  34.368756   \n",
       "\n",
       "                                        ...                            \\\n",
       "                                        ...            75%        max   \n",
       "Shopper_ID  Store_Category_visited5     ...                             \n",
       "Shopper_1   Apparel And Accessories     ...      37.784052  37.784128   \n",
       "            Department Stores           ...      32.386375  33.565365   \n",
       "            Furniture And Decor         ...      37.784109  37.784263   \n",
       "            Misc.                       ...      35.733657  35.756717   \n",
       "            Qsr Restaurants             ...      37.784075  37.784158   \n",
       "Shopper_10  Apparel And Accessories     ...      37.783770  37.784328   \n",
       "            Department Stores           ...      33.212029  33.212029   \n",
       "            Furniture And Decor         ...      37.784020  37.784315   \n",
       "            Misc.                       ...      35.562603  36.843116   \n",
       "            Qsr Restaurants             ...      37.783626  37.784581   \n",
       "            Shoe Stores                 ...      37.067269  37.067269   \n",
       "            Sports Stores               ...      34.508185  34.515291   \n",
       "            Toy Stores                  ...      37.152372  37.152372   \n",
       "Shopper_100 Apparel And Accessories     ...      37.783998  37.784218   \n",
       "            Department Stores           ...      32.113147  33.060997   \n",
       "            Furniture And Decor         ...      37.784135  37.784440   \n",
       "            Misc.                       ...      35.756956  36.541675   \n",
       "            Qsr Restaurants             ...      37.735136  37.784454   \n",
       "            Shoe Stores                 ...      36.610081  36.939591   \n",
       "            Sports Stores               ...      34.453670  34.453670   \n",
       "Shopper_101 Apparel And Accessories     ...      37.784054  37.784189   \n",
       "            Department Stores           ...      33.032302  33.061716   \n",
       "            Furniture And Decor         ...      37.784120  37.784732   \n",
       "            Qsr Restaurants             ...      37.784070  37.784134   \n",
       "Shopper_102 Apparel And Accessories     ...      37.783997  37.784543   \n",
       "            Furniture And Decor         ...      37.784009  37.784135   \n",
       "            Qsr Restaurants             ...      37.747521  37.784546   \n",
       "            Shoe Stores                 ...      36.444058  36.455927   \n",
       "Shopper_103 Apparel And Accessories     ...      37.784149  37.784767   \n",
       "            Furniture And Decor         ...      37.784090  37.784363   \n",
       "...                                     ...            ...        ...   \n",
       "Shopper_94  Qsr Restaurants             ...      37.784109  37.784701   \n",
       "Shopper_95  Apparel And Accessories     ...      37.784018  37.784166   \n",
       "            Department Stores           ...      32.674522  33.015045   \n",
       "            Furniture And Decor         ...      37.784041  37.784414   \n",
       "            Qsr Restaurants             ...      37.784022  37.784602   \n",
       "            Sports Stores               ...      34.604708  34.604708   \n",
       "Shopper_96  Apparel And Accessories     ...      37.783987  37.784874   \n",
       "            Department Stores           ...      33.339316  33.339455   \n",
       "            Furniture And Decor         ...      37.784082  37.784873   \n",
       "            Misc.                       ...      36.236379  36.468487   \n",
       "            Qsr Restaurants             ...      37.783975  37.784875   \n",
       "            Shoe Stores                 ...      36.692903  36.753004   \n",
       "Shopper_97  Apparel And Accessories     ...      37.783967  37.784282   \n",
       "            Department Stores           ...      32.299168  33.037483   \n",
       "            Furniture And Decor         ...      37.784075  37.784732   \n",
       "            Misc.                       ...      35.240852  35.240852   \n",
       "            Qsr Restaurants             ...      37.784017  37.784639   \n",
       "            Shoe Stores                 ...      36.692025  36.692025   \n",
       "            Sports Stores               ...      34.525225  34.604944   \n",
       "Shopper_98  Apparel And Accessories     ...      37.784073  37.784564   \n",
       "            Department Stores           ...      32.892415  33.061097   \n",
       "            Furniture And Decor         ...      37.784104  37.784350   \n",
       "            Qsr Restaurants             ...      37.784058  37.784289   \n",
       "Shopper_99  Apparel And Accessories     ...      37.784005  37.785318   \n",
       "            Department Stores           ...      33.780174  33.858523   \n",
       "            Furniture And Decor         ...      37.784197  37.785072   \n",
       "            Misc.                       ...      35.175016  35.540035   \n",
       "            Qsr Restaurants             ...      37.784019  37.784623   \n",
       "            Shoe Stores                 ...      36.716910  36.731214   \n",
       "            Sports Stores               ...      34.368756  34.368756   \n",
       "\n",
       "                                    longitude                         \\\n",
       "                                        count        mean        std   \n",
       "Shopper_ID  Store_Category_visited5                                    \n",
       "Shopper_1   Apparel And Accessories      77.0 -117.148851   4.872088   \n",
       "            Department Stores            45.0  -95.436106  17.745141   \n",
       "            Furniture And Decor          30.0 -122.402133   0.015500   \n",
       "            Misc.                         2.0 -115.759376   0.241615   \n",
       "            Qsr Restaurants              35.0 -118.390572   5.530063   \n",
       "Shopper_10  Apparel And Accessories      46.0 -120.204794   3.361541   \n",
       "            Department Stores             1.0 -107.594816        NaN   \n",
       "            Furniture And Decor          30.0 -122.029319   0.521528   \n",
       "            Misc.                         4.0 -115.157020   2.801611   \n",
       "            Qsr Restaurants             102.0 -121.774151   1.650523   \n",
       "            Shoe Stores                   1.0 -120.083838        NaN   \n",
       "            Sports Stores                 2.0 -111.770999   0.065100   \n",
       "            Toy Stores                    1.0 -120.359121        NaN   \n",
       "Shopper_100 Apparel And Accessories      62.0 -118.629504   4.212967   \n",
       "            Department Stores            24.0 -100.772750   5.496766   \n",
       "            Furniture And Decor          60.0 -122.265843   0.732081   \n",
       "            Misc.                         5.0 -115.399507   1.855742   \n",
       "            Qsr Restaurants              31.0 -118.221014   3.551025   \n",
       "            Shoe Stores                   4.0 -118.577261   0.731848   \n",
       "            Sports Stores                 1.0 -111.630196        NaN   \n",
       "Shopper_101 Apparel And Accessories      94.0 -121.670672   2.650024   \n",
       "            Department Stores             6.0 -106.381113   0.876089   \n",
       "            Furniture And Decor          40.0 -122.406424   0.004670   \n",
       "            Qsr Restaurants              43.0 -122.119749   1.866188   \n",
       "Shopper_102 Apparel And Accessories      28.0 -120.947509   2.359052   \n",
       "            Furniture And Decor           9.0 -121.389519   2.003862   \n",
       "            Qsr Restaurants             142.0 -122.211629   0.909391   \n",
       "            Shoe Stores                   2.0 -118.087669   0.107136   \n",
       "Shopper_103 Apparel And Accessories      75.0 -122.119309   1.151921   \n",
       "            Furniture And Decor          17.0 -122.401989   0.010209   \n",
       "...                                       ...         ...        ...   \n",
       "Shopper_94  Qsr Restaurants              64.0 -122.041440   2.054486   \n",
       "Shopper_95  Apparel And Accessories     116.0 -121.597041   2.831938   \n",
       "            Department Stores             3.0 -104.630058   2.565760   \n",
       "            Furniture And Decor          23.0 -122.407163   0.000106   \n",
       "            Qsr Restaurants              42.0 -121.875608   2.351319   \n",
       "            Sports Stores                 1.0 -112.179352        NaN   \n",
       "Shopper_96  Apparel And Accessories      86.0 -121.420943   2.664117   \n",
       "            Department Stores             4.0 -107.556726   0.519625   \n",
       "            Furniture And Decor          35.0 -122.345866   0.222513   \n",
       "            Misc.                         2.0 -116.680247   2.111598   \n",
       "            Qsr Restaurants              63.0 -121.341025   2.695937   \n",
       "            Shoe Stores                   2.0 -118.702133   0.546657   \n",
       "Shopper_97  Apparel And Accessories      65.0 -118.609391   4.593765   \n",
       "            Department Stores            29.0  -91.715478  19.217187   \n",
       "            Furniture And Decor          24.0 -122.213299   0.906223   \n",
       "            Misc.                         1.0 -114.224482        NaN   \n",
       "            Qsr Restaurants              64.0 -118.848803   4.958888   \n",
       "            Shoe Stores                   1.0 -119.079427        NaN   \n",
       "            Sports Stores                 4.0 -111.858637   0.214181   \n",
       "Shopper_98  Apparel And Accessories      73.0 -122.078688   1.597942   \n",
       "            Department Stores             2.0 -106.013077   1.545619   \n",
       "            Furniture And Decor          66.0 -122.407054   0.000222   \n",
       "            Qsr Restaurants              49.0 -121.803871   2.075032   \n",
       "Shopper_99  Apparel And Accessories      70.0 -119.117467   3.934694   \n",
       "            Department Stores             2.0 -109.255416   0.686366   \n",
       "            Furniture And Decor          52.0 -122.305299   0.559859   \n",
       "            Misc.                         8.0 -113.508869   0.940142   \n",
       "            Qsr Restaurants              52.0 -121.406259   2.331640   \n",
       "            Shoe Stores                   5.0 -118.872381   0.106339   \n",
       "            Sports Stores                 1.0 -111.386886        NaN   \n",
       "\n",
       "                                                                         \\\n",
       "                                            min         25%         50%   \n",
       "Shopper_ID  Store_Category_visited5                                       \n",
       "Shopper_1   Apparel And Accessories -122.407207 -122.407076 -115.588650   \n",
       "            Department Stores       -108.788161 -104.920369 -103.575168   \n",
       "            Furniture And Decor     -122.407302 -122.407162 -122.406884   \n",
       "            Misc.                   -115.930223 -115.844800 -115.759376   \n",
       "            Qsr Restaurants         -122.407213 -122.407072 -122.406600   \n",
       "Shopper_10  Apparel And Accessories -122.407400 -122.407024 -122.054583   \n",
       "            Department Stores       -107.594816 -107.594816 -107.594816   \n",
       "            Furniture And Decor     -122.407478 -122.407180 -122.405232   \n",
       "            Misc.                   -119.357911 -115.210023 -113.809020   \n",
       "            Qsr Restaurants         -122.407199 -122.406097 -122.405242   \n",
       "            Shoe Stores             -120.083838 -120.083838 -120.083838   \n",
       "            Sports Stores           -111.817032 -111.794016 -111.770999   \n",
       "            Toy Stores              -120.359121 -120.359121 -120.359121   \n",
       "Shopper_100 Apparel And Accessories -122.407290 -122.407081 -120.034203   \n",
       "            Department Stores       -107.106212 -104.137817 -102.020724   \n",
       "            Furniture And Decor     -122.407540 -122.407228 -122.407142   \n",
       "            Misc.                   -118.437238 -115.929999 -114.291633   \n",
       "            Qsr Restaurants         -122.407223 -122.363254 -118.314449   \n",
       "            Shoe Stores             -119.670027 -118.646207 -118.251570   \n",
       "            Sports Stores           -111.630196 -111.630196 -111.630196   \n",
       "Shopper_101 Apparel And Accessories -122.407307 -122.407162 -122.407121   \n",
       "            Department Stores       -107.106975 -107.080708 -106.564921   \n",
       "            Furniture And Decor     -122.408006 -122.407201 -122.407141   \n",
       "            Qsr Restaurants         -122.407331 -122.407200 -122.407165   \n",
       "Shopper_102 Apparel And Accessories -122.407235 -122.407033 -122.388999   \n",
       "            Furniture And Decor     -122.407478 -122.407165 -122.407137   \n",
       "            Qsr Restaurants         -122.407168 -122.374318 -122.366150   \n",
       "            Shoe Stores             -118.163425 -118.125547 -118.087669   \n",
       "Shopper_103 Apparel And Accessories -122.407177 -122.407115 -122.406533   \n",
       "            Furniture And Decor     -122.407172 -122.407122 -122.407090   \n",
       "...                                         ...         ...         ...   \n",
       "Shopper_94  Qsr Restaurants         -122.408343 -122.407201 -122.407128   \n",
       "Shopper_95  Apparel And Accessories -122.407290 -122.407165 -122.407134   \n",
       "            Department Stores       -107.065429 -105.969457 -104.873485   \n",
       "            Furniture And Decor     -122.407478 -122.407193 -122.407164   \n",
       "            Qsr Restaurants         -122.407319 -122.407144 -122.407059   \n",
       "            Sports Stores           -112.179352 -112.179352 -112.179352   \n",
       "Shopper_96  Apparel And Accessories -122.407357 -122.406906 -122.389992   \n",
       "            Department Stores       -108.006986 -108.006608 -107.556738   \n",
       "            Furniture And Decor     -122.407520 -122.407174 -122.407048   \n",
       "            Misc.                   -118.173373 -117.426810 -116.680247   \n",
       "            Qsr Restaurants         -122.407241 -122.406590 -122.383588   \n",
       "            Shoe Stores             -119.088678 -118.895405 -118.702133   \n",
       "Shopper_97  Apparel And Accessories -122.407285 -122.407059 -122.371663   \n",
       "            Department Stores       -107.082181 -104.637283 -101.113600   \n",
       "            Furniture And Decor     -122.407160 -122.407087 -122.406980   \n",
       "            Misc.                   -114.224482 -114.224482 -114.224482   \n",
       "            Qsr Restaurants         -122.407157 -122.406805 -122.372711   \n",
       "            Shoe Stores             -119.079427 -119.079427 -119.079427   \n",
       "            Sports Stores           -112.179074 -111.866816 -111.762725   \n",
       "Shopper_98  Apparel And Accessories -122.407302 -122.407129 -122.407062   \n",
       "            Department Stores       -107.105995 -106.559536 -106.013077   \n",
       "            Furniture And Decor     -122.407478 -122.407148 -122.407082   \n",
       "            Qsr Restaurants         -122.407399 -122.407297 -122.407139   \n",
       "Shopper_99  Apparel And Accessories -122.409686 -122.406563 -122.089207   \n",
       "            Department Stores       -109.740750 -109.498083 -109.255416   \n",
       "            Furniture And Decor     -122.409203 -122.407053 -122.407014   \n",
       "            Misc.                   -115.187127 -114.013028 -113.303099   \n",
       "            Qsr Restaurants         -122.407265 -122.407084 -122.406318   \n",
       "            Shoe Stores             -118.996073 -118.949556 -118.870026   \n",
       "            Sports Stores           -111.386886 -111.386886 -111.386886   \n",
       "\n",
       "                                                             \n",
       "                                            75%         max  \n",
       "Shopper_ID  Store_Category_visited5                          \n",
       "Shopper_1   Apparel And Accessories -112.991200 -108.788102  \n",
       "            Department Stores        -97.925622  -51.038836  \n",
       "            Furniture And Decor     -122.406457 -122.341798  \n",
       "            Misc.                   -115.673952 -115.588529  \n",
       "            Qsr Restaurants         -113.215720 -108.805843  \n",
       "Shopper_10  Apparel And Accessories -119.691652 -111.207019  \n",
       "            Department Stores       -107.594816 -107.594816  \n",
       "            Furniture And Decor     -121.734511 -120.918687  \n",
       "            Misc.                   -113.756016 -113.652127  \n",
       "            Qsr Restaurants         -122.367162 -110.472823  \n",
       "            Shoe Stores             -120.083838 -120.083838  \n",
       "            Sports Stores           -111.747983 -111.724967  \n",
       "            Toy Stores              -120.359121 -120.359121  \n",
       "Shopper_100 Apparel And Accessories -115.588506 -108.770009  \n",
       "            Department Stores        -99.019765  -89.635038  \n",
       "            Furniture And Decor     -122.406502 -118.356403  \n",
       "            Misc.                   -114.246270 -114.092396  \n",
       "            Qsr Restaurants         -116.854509 -110.150017  \n",
       "            Shoe Stores             -118.182624 -118.135877  \n",
       "            Sports Stores           -111.630196 -111.630196  \n",
       "Shopper_101 Apparel And Accessories -122.406909 -108.770104  \n",
       "            Department Stores       -106.048165 -104.921312  \n",
       "            Furniture And Decor     -122.407086 -122.377675  \n",
       "            Qsr Restaurants         -122.407099 -110.167013  \n",
       "Shopper_102 Apparel And Accessories -118.231646 -116.254149  \n",
       "            Furniture And Decor     -122.372530 -117.849102  \n",
       "            Qsr Restaurants         -122.347669 -115.930315  \n",
       "            Shoe Stores             -118.049790 -118.011912  \n",
       "Shopper_103 Apparel And Accessories -122.391291 -116.772124  \n",
       "            Furniture And Decor     -122.406901 -122.374733  \n",
       "...                                         ...         ...  \n",
       "Shopper_94  Qsr Restaurants         -122.406997 -110.133669  \n",
       "Shopper_95  Apparel And Accessories -122.407036 -108.770085  \n",
       "            Department Stores       -103.412373 -101.951261  \n",
       "            Furniture And Decor     -122.407132 -122.406863  \n",
       "            Qsr Restaurants         -122.362295 -110.166285  \n",
       "            Sports Stores           -112.179352 -112.179352  \n",
       "Shopper_96  Apparel And Accessories -122.371944 -110.166851  \n",
       "            Department Stores       -107.106856 -107.106439  \n",
       "            Furniture And Decor     -122.393173 -121.448674  \n",
       "            Misc.                   -115.933684 -115.187122  \n",
       "            Qsr Restaurants         -122.347449 -108.006986  \n",
       "            Shoe Stores             -118.508860 -118.315588  \n",
       "Shopper_97  Apparel And Accessories -115.168220 -108.806078  \n",
       "            Department Stores        -86.438987  -47.582202  \n",
       "            Furniture And Decor     -122.385898 -117.959460  \n",
       "            Misc.                   -114.224482 -114.224482  \n",
       "            Qsr Restaurants         -113.474937 -108.806012  \n",
       "            Shoe Stores             -119.079427 -119.079427  \n",
       "            Sports Stores           -111.754545 -111.730023  \n",
       "Shopper_98  Apparel And Accessories -122.407008 -114.246510  \n",
       "            Department Stores       -105.466618 -104.920159  \n",
       "            Furniture And Decor     -122.407031 -122.406377  \n",
       "            Qsr Restaurants         -122.407031 -112.991066  \n",
       "Shopper_99  Apparel And Accessories -116.027978 -109.504599  \n",
       "            Department Stores       -109.012749 -108.770082  \n",
       "            Furniture And Decor     -122.406560 -118.408601  \n",
       "            Misc.                   -112.965788 -112.179028  \n",
       "            Qsr Restaurants         -122.233395 -111.466124  \n",
       "            Shoe Stores             -118.819317 -118.726933  \n",
       "            Sports Stores           -111.386886 -111.386886  \n",
       "\n",
       "[2923 rows x 24 columns]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "visiting_info2 = visiting_info2df.groupby(['Shopper_ID','Store_Category_visited5']).describe()\n",
    "visiting_info2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "#visiting_info2.to_csv(r\"C:\\Users\\welcome\\Desktop\\visiting_info2_final.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Shopper_ID\n",
       "Shopper_1       ([Apparel And Accessories], [77])\n",
       "Shopper_10             ([Qsr Restaurants], [102])\n",
       "Shopper_100     ([Apparel And Accessories], [62])\n",
       "Shopper_101     ([Apparel And Accessories], [94])\n",
       "Shopper_102            ([Qsr Restaurants], [142])\n",
       "Shopper_103             ([Qsr Restaurants], [96])\n",
       "Shopper_104         ([Furniture And Decor], [71])\n",
       "Shopper_105     ([Apparel And Accessories], [84])\n",
       "Shopper_106    ([Apparel And Accessories], [109])\n",
       "Shopper_107     ([Apparel And Accessories], [67])\n",
       "Shopper_108        ([Furniture And Decor], [105])\n",
       "Shopper_109     ([Apparel And Accessories], [57])\n",
       "Shopper_11          ([Furniture And Decor], [72])\n",
       "Shopper_110             ([Qsr Restaurants], [63])\n",
       "Shopper_111     ([Apparel And Accessories], [97])\n",
       "Shopper_112         ([Furniture And Decor], [77])\n",
       "Shopper_113         ([Furniture And Decor], [96])\n",
       "Shopper_114             ([Qsr Restaurants], [91])\n",
       "Shopper_115             ([Qsr Restaurants], [82])\n",
       "Shopper_116            ([Qsr Restaurants], [169])\n",
       "Shopper_117        ([Furniture And Decor], [133])\n",
       "Shopper_118     ([Apparel And Accessories], [73])\n",
       "Shopper_119    ([Apparel And Accessories], [124])\n",
       "Shopper_12      ([Apparel And Accessories], [84])\n",
       "Shopper_120     ([Apparel And Accessories], [79])\n",
       "Shopper_121     ([Apparel And Accessories], [71])\n",
       "Shopper_122             ([Qsr Restaurants], [81])\n",
       "Shopper_123     ([Apparel And Accessories], [96])\n",
       "Shopper_124         ([Furniture And Decor], [75])\n",
       "Shopper_125    ([Apparel And Accessories], [100])\n",
       "                              ...                \n",
       "Shopper_72              ([Qsr Restaurants], [73])\n",
       "Shopper_73      ([Apparel And Accessories], [59])\n",
       "Shopper_74      ([Apparel And Accessories], [92])\n",
       "Shopper_75     ([Apparel And Accessories], [102])\n",
       "Shopper_76         ([Furniture And Decor], [116])\n",
       "Shopper_77              ([Qsr Restaurants], [72])\n",
       "Shopper_78      ([Apparel And Accessories], [89])\n",
       "Shopper_79      ([Apparel And Accessories], [90])\n",
       "Shopper_8       ([Apparel And Accessories], [78])\n",
       "Shopper_80          ([Furniture And Decor], [71])\n",
       "Shopper_81      ([Apparel And Accessories], [58])\n",
       "Shopper_82              ([Qsr Restaurants], [96])\n",
       "Shopper_83      ([Apparel And Accessories], [69])\n",
       "Shopper_84             ([Qsr Restaurants], [102])\n",
       "Shopper_85         ([Furniture And Decor], [107])\n",
       "Shopper_86          ([Furniture And Decor], [57])\n",
       "Shopper_87      ([Apparel And Accessories], [74])\n",
       "Shopper_88      ([Apparel And Accessories], [95])\n",
       "Shopper_89          ([Furniture And Decor], [76])\n",
       "Shopper_9           ([Furniture And Decor], [73])\n",
       "Shopper_90      ([Apparel And Accessories], [86])\n",
       "Shopper_91          ([Furniture And Decor], [77])\n",
       "Shopper_92          ([Furniture And Decor], [71])\n",
       "Shopper_93              ([Qsr Restaurants], [97])\n",
       "Shopper_94      ([Apparel And Accessories], [83])\n",
       "Shopper_95     ([Apparel And Accessories], [116])\n",
       "Shopper_96      ([Apparel And Accessories], [86])\n",
       "Shopper_97      ([Apparel And Accessories], [65])\n",
       "Shopper_98      ([Apparel And Accessories], [73])\n",
       "Shopper_99      ([Apparel And Accessories], [70])\n",
       "Name: Store_Category_visited5, Length: 567, dtype: object"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from scipy import stats\n",
    "df_freq2 = visiting_info2df.groupby(by='Shopper_ID').Store_Category_visited5.apply(stats.mode)\n",
    "df_freq2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Store_Category_visited5    ([Qsr Restaurants], [102])\n",
       "Name: Shopper_10, dtype: object"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_freq2= df_freq2.to_frame()\n",
    "df_freq2.iloc[1,:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Department Stores',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants', u'Department Stores',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor', u'Furniture And Decor',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Furniture And Decor', u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Furniture And Decor',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Department Stores',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Furniture And Decor', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Apparel And Accessories',\n",
       "       u'Qsr Restaurants', u'Apparel And Accessories', u'Qsr Restaurants',\n",
       "       u'Furniture And Decor', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Furniture And Decor', u'Furniture And Decor',\n",
       "       u'Apparel And Accessories', u'Furniture And Decor',\n",
       "       u'Furniture And Decor', u'Qsr Restaurants',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories',\n",
       "       u'Apparel And Accessories', u'Apparel And Accessories'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mostvisitedcategorylist= []\n",
    "for category in df_freq2['Store_Category_visited5']:\n",
    "    mostvisitedcategorylist.append(category[0][0])\n",
    "mostvisitedcategory_array= np.array(mostvisitedcategorylist)\n",
    "mostvisitedcategory_array.astype(object)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "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_Category_visited5</th>\n",
       "      <th>New_Category</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Shopper_1</th>\n",
       "      <td>([Apparel And Accessories], [77])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_10</th>\n",
       "      <td>([Qsr Restaurants], [102])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_100</th>\n",
       "      <td>([Apparel And Accessories], [62])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_101</th>\n",
       "      <td>([Apparel And Accessories], [94])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_102</th>\n",
       "      <td>([Qsr Restaurants], [142])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Store_Category_visited5             New_Category\n",
       "Shopper_ID                                                             \n",
       "Shopper_1    ([Apparel And Accessories], [77])  Apparel And Accessories\n",
       "Shopper_10          ([Qsr Restaurants], [102])          Qsr Restaurants\n",
       "Shopper_100  ([Apparel And Accessories], [62])  Apparel And Accessories\n",
       "Shopper_101  ([Apparel And Accessories], [94])  Apparel And Accessories\n",
       "Shopper_102         ([Qsr Restaurants], [142])          Qsr Restaurants"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_freq2['New_Category']= mostvisitedcategory_array\n",
    "df_freq2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_freq2.to_csv(r\"C:\\Users\\welcome\\Desktop\\exl_round1_final2.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "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>New_Store</th>\n",
       "      <th>Store_Category_visited5</th>\n",
       "      <th>New_Category</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Shopper_1</th>\n",
       "      <td>([Bloomingdale's], [56])</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>([Apparel And Accessories], [77])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_10</th>\n",
       "      <td>([TAP 415], [83])</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>([Qsr Restaurants], [102])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_100</th>\n",
       "      <td>([ProActiv Solutions ], [58])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Apparel And Accessories], [62])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_101</th>\n",
       "      <td>([Swarovski], [53])</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>([Apparel And Accessories], [94])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_102</th>\n",
       "      <td>([TAP 415], [125])</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>([Qsr Restaurants], [142])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_103</th>\n",
       "      <td>([Cotton On], [52])</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>([Qsr Restaurants], [96])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_104</th>\n",
       "      <td>([ProActiv Solutions ], [71])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [71])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_105</th>\n",
       "      <td>([ProActiv Solutions ], [61])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Apparel And Accessories], [84])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_106</th>\n",
       "      <td>([ProActiv Solutions ], [63])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Apparel And Accessories], [109])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_107</th>\n",
       "      <td>([ProActiv Solutions ], [61])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Apparel And Accessories], [67])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_108</th>\n",
       "      <td>([ProActiv Solutions ], [105])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [105])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_109</th>\n",
       "      <td>([Bloomingdale's], [49])</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>([Apparel And Accessories], [57])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_11</th>\n",
       "      <td>([ProActiv Solutions ], [72])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [72])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_110</th>\n",
       "      <td>([ProActiv Solutions ], [51])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Qsr Restaurants], [63])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_111</th>\n",
       "      <td>([Swarovski], [56])</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>([Apparel And Accessories], [97])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_112</th>\n",
       "      <td>([ProActiv Solutions ], [77])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [77])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_113</th>\n",
       "      <td>([ProActiv Solutions ], [96])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [96])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_114</th>\n",
       "      <td>([TAP 415], [90])</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>([Qsr Restaurants], [91])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_115</th>\n",
       "      <td>([Cotton On], [55])</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>([Qsr Restaurants], [82])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_116</th>\n",
       "      <td>([TAP 415], [167])</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>([Qsr Restaurants], [169])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_117</th>\n",
       "      <td>([ProActiv Solutions ], [133])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [133])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_118</th>\n",
       "      <td>([Cotton On], [45])</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>([Apparel And Accessories], [73])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_119</th>\n",
       "      <td>([Swarovski], [119])</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>([Apparel And Accessories], [124])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_12</th>\n",
       "      <td>([ProActiv Solutions ], [22])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Apparel And Accessories], [84])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_120</th>\n",
       "      <td>([Swarovski], [59])</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>([Apparel And Accessories], [79])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_121</th>\n",
       "      <td>([ProActiv Solutions ], [44])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Apparel And Accessories], [71])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_122</th>\n",
       "      <td>([TAP 415], [49])</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>([Qsr Restaurants], [81])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_123</th>\n",
       "      <td>([Swarovski], [77])</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>([Apparel And Accessories], [96])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_124</th>\n",
       "      <td>([ProActiv Solutions ], [75])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [75])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_125</th>\n",
       "      <td>([Cotton On], [41])</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>([Apparel And Accessories], [100])</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>Shopper_72</th>\n",
       "      <td>([TAP 415], [59])</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>([Qsr Restaurants], [73])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_73</th>\n",
       "      <td>([ProActiv Solutions ], [53])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Apparel And Accessories], [59])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_74</th>\n",
       "      <td>([ProActiv Solutions ], [60])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Apparel And Accessories], [92])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_75</th>\n",
       "      <td>([Swarovski], [57])</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>([Apparel And Accessories], [102])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_76</th>\n",
       "      <td>([ProActiv Solutions ], [116])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [116])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_77</th>\n",
       "      <td>([TAP 415], [43])</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>([Qsr Restaurants], [72])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_78</th>\n",
       "      <td>([Cotton On], [54])</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>([Apparel And Accessories], [89])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_79</th>\n",
       "      <td>([Cotton On], [55])</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>([Apparel And Accessories], [90])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_8</th>\n",
       "      <td>([Swarovski], [57])</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>([Apparel And Accessories], [78])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_80</th>\n",
       "      <td>([ProActiv Solutions ], [71])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [71])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_81</th>\n",
       "      <td>([ProActiv Solutions ], [46])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Apparel And Accessories], [58])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_82</th>\n",
       "      <td>([TAP 415], [57])</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>([Qsr Restaurants], [96])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_83</th>\n",
       "      <td>([ProActiv Solutions ], [57])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Apparel And Accessories], [69])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_84</th>\n",
       "      <td>([TAP 415], [86])</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>([Qsr Restaurants], [102])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_85</th>\n",
       "      <td>([ProActiv Solutions ], [107])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [107])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_86</th>\n",
       "      <td>([ProActiv Solutions ], [57])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [57])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_87</th>\n",
       "      <td>([TAP 415], [38])</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>([Apparel And Accessories], [74])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_88</th>\n",
       "      <td>([Swarovski], [46])</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>([Apparel And Accessories], [95])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_89</th>\n",
       "      <td>([ProActiv Solutions ], [75])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [76])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_9</th>\n",
       "      <td>([ProActiv Solutions ], [73])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [73])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_90</th>\n",
       "      <td>([Swarovski], [68])</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>([Apparel And Accessories], [86])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_91</th>\n",
       "      <td>([ProActiv Solutions ], [77])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [77])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_92</th>\n",
       "      <td>([ProActiv Solutions ], [71])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Furniture And Decor], [71])</td>\n",
       "      <td>Furniture And Decor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_93</th>\n",
       "      <td>([TAP 415], [53])</td>\n",
       "      <td>TAP 415</td>\n",
       "      <td>([Qsr Restaurants], [97])</td>\n",
       "      <td>Qsr Restaurants</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_94</th>\n",
       "      <td>([Cotton On], [57])</td>\n",
       "      <td>Cotton On</td>\n",
       "      <td>([Apparel And Accessories], [83])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_95</th>\n",
       "      <td>([Swarovski], [88])</td>\n",
       "      <td>Swarovski</td>\n",
       "      <td>([Apparel And Accessories], [116])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_96</th>\n",
       "      <td>([Steve Madden], [39])</td>\n",
       "      <td>Steve Madden</td>\n",
       "      <td>([Apparel And Accessories], [86])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_97</th>\n",
       "      <td>([Bloomingdale's], [37])</td>\n",
       "      <td>Bloomingdale's</td>\n",
       "      <td>([Apparel And Accessories], [65])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_98</th>\n",
       "      <td>([ProActiv Solutions ], [66])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Apparel And Accessories], [73])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shopper_99</th>\n",
       "      <td>([ProActiv Solutions ], [51])</td>\n",
       "      <td>ProActiv Solutions</td>\n",
       "      <td>([Apparel And Accessories], [70])</td>\n",
       "      <td>Apparel And Accessories</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>567 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 Store_Name            New_Store  \\\n",
       "Shopper_ID                                                         \n",
       "Shopper_1          ([Bloomingdale's], [56])       Bloomingdale's   \n",
       "Shopper_10                ([TAP 415], [83])              TAP 415   \n",
       "Shopper_100   ([ProActiv Solutions ], [58])  ProActiv Solutions    \n",
       "Shopper_101             ([Swarovski], [53])            Swarovski   \n",
       "Shopper_102              ([TAP 415], [125])              TAP 415   \n",
       "Shopper_103             ([Cotton On], [52])            Cotton On   \n",
       "Shopper_104   ([ProActiv Solutions ], [71])  ProActiv Solutions    \n",
       "Shopper_105   ([ProActiv Solutions ], [61])  ProActiv Solutions    \n",
       "Shopper_106   ([ProActiv Solutions ], [63])  ProActiv Solutions    \n",
       "Shopper_107   ([ProActiv Solutions ], [61])  ProActiv Solutions    \n",
       "Shopper_108  ([ProActiv Solutions ], [105])  ProActiv Solutions    \n",
       "Shopper_109        ([Bloomingdale's], [49])       Bloomingdale's   \n",
       "Shopper_11    ([ProActiv Solutions ], [72])  ProActiv Solutions    \n",
       "Shopper_110   ([ProActiv Solutions ], [51])  ProActiv Solutions    \n",
       "Shopper_111             ([Swarovski], [56])            Swarovski   \n",
       "Shopper_112   ([ProActiv Solutions ], [77])  ProActiv Solutions    \n",
       "Shopper_113   ([ProActiv Solutions ], [96])  ProActiv Solutions    \n",
       "Shopper_114               ([TAP 415], [90])              TAP 415   \n",
       "Shopper_115             ([Cotton On], [55])            Cotton On   \n",
       "Shopper_116              ([TAP 415], [167])              TAP 415   \n",
       "Shopper_117  ([ProActiv Solutions ], [133])  ProActiv Solutions    \n",
       "Shopper_118             ([Cotton On], [45])            Cotton On   \n",
       "Shopper_119            ([Swarovski], [119])            Swarovski   \n",
       "Shopper_12    ([ProActiv Solutions ], [22])  ProActiv Solutions    \n",
       "Shopper_120             ([Swarovski], [59])            Swarovski   \n",
       "Shopper_121   ([ProActiv Solutions ], [44])  ProActiv Solutions    \n",
       "Shopper_122               ([TAP 415], [49])              TAP 415   \n",
       "Shopper_123             ([Swarovski], [77])            Swarovski   \n",
       "Shopper_124   ([ProActiv Solutions ], [75])  ProActiv Solutions    \n",
       "Shopper_125             ([Cotton On], [41])            Cotton On   \n",
       "...                                     ...                  ...   \n",
       "Shopper_72                ([TAP 415], [59])              TAP 415   \n",
       "Shopper_73    ([ProActiv Solutions ], [53])  ProActiv Solutions    \n",
       "Shopper_74    ([ProActiv Solutions ], [60])  ProActiv Solutions    \n",
       "Shopper_75              ([Swarovski], [57])            Swarovski   \n",
       "Shopper_76   ([ProActiv Solutions ], [116])  ProActiv Solutions    \n",
       "Shopper_77                ([TAP 415], [43])              TAP 415   \n",
       "Shopper_78              ([Cotton On], [54])            Cotton On   \n",
       "Shopper_79              ([Cotton On], [55])            Cotton On   \n",
       "Shopper_8               ([Swarovski], [57])            Swarovski   \n",
       "Shopper_80    ([ProActiv Solutions ], [71])  ProActiv Solutions    \n",
       "Shopper_81    ([ProActiv Solutions ], [46])  ProActiv Solutions    \n",
       "Shopper_82                ([TAP 415], [57])              TAP 415   \n",
       "Shopper_83    ([ProActiv Solutions ], [57])  ProActiv Solutions    \n",
       "Shopper_84                ([TAP 415], [86])              TAP 415   \n",
       "Shopper_85   ([ProActiv Solutions ], [107])  ProActiv Solutions    \n",
       "Shopper_86    ([ProActiv Solutions ], [57])  ProActiv Solutions    \n",
       "Shopper_87                ([TAP 415], [38])              TAP 415   \n",
       "Shopper_88              ([Swarovski], [46])            Swarovski   \n",
       "Shopper_89    ([ProActiv Solutions ], [75])  ProActiv Solutions    \n",
       "Shopper_9     ([ProActiv Solutions ], [73])  ProActiv Solutions    \n",
       "Shopper_90              ([Swarovski], [68])            Swarovski   \n",
       "Shopper_91    ([ProActiv Solutions ], [77])  ProActiv Solutions    \n",
       "Shopper_92    ([ProActiv Solutions ], [71])  ProActiv Solutions    \n",
       "Shopper_93                ([TAP 415], [53])              TAP 415   \n",
       "Shopper_94              ([Cotton On], [57])            Cotton On   \n",
       "Shopper_95              ([Swarovski], [88])            Swarovski   \n",
       "Shopper_96           ([Steve Madden], [39])         Steve Madden   \n",
       "Shopper_97         ([Bloomingdale's], [37])       Bloomingdale's   \n",
       "Shopper_98    ([ProActiv Solutions ], [66])  ProActiv Solutions    \n",
       "Shopper_99    ([ProActiv Solutions ], [51])  ProActiv Solutions    \n",
       "\n",
       "                        Store_Category_visited5             New_Category  \n",
       "Shopper_ID                                                                \n",
       "Shopper_1     ([Apparel And Accessories], [77])  Apparel And Accessories  \n",
       "Shopper_10           ([Qsr Restaurants], [102])          Qsr Restaurants  \n",
       "Shopper_100   ([Apparel And Accessories], [62])  Apparel And Accessories  \n",
       "Shopper_101   ([Apparel And Accessories], [94])  Apparel And Accessories  \n",
       "Shopper_102          ([Qsr Restaurants], [142])          Qsr Restaurants  \n",
       "Shopper_103           ([Qsr Restaurants], [96])          Qsr Restaurants  \n",
       "Shopper_104       ([Furniture And Decor], [71])      Furniture And Decor  \n",
       "Shopper_105   ([Apparel And Accessories], [84])  Apparel And Accessories  \n",
       "Shopper_106  ([Apparel And Accessories], [109])  Apparel And Accessories  \n",
       "Shopper_107   ([Apparel And Accessories], [67])  Apparel And Accessories  \n",
       "Shopper_108      ([Furniture And Decor], [105])      Furniture And Decor  \n",
       "Shopper_109   ([Apparel And Accessories], [57])  Apparel And Accessories  \n",
       "Shopper_11        ([Furniture And Decor], [72])      Furniture And Decor  \n",
       "Shopper_110           ([Qsr Restaurants], [63])          Qsr Restaurants  \n",
       "Shopper_111   ([Apparel And Accessories], [97])  Apparel And Accessories  \n",
       "Shopper_112       ([Furniture And Decor], [77])      Furniture And Decor  \n",
       "Shopper_113       ([Furniture And Decor], [96])      Furniture And Decor  \n",
       "Shopper_114           ([Qsr Restaurants], [91])          Qsr Restaurants  \n",
       "Shopper_115           ([Qsr Restaurants], [82])          Qsr Restaurants  \n",
       "Shopper_116          ([Qsr Restaurants], [169])          Qsr Restaurants  \n",
       "Shopper_117      ([Furniture And Decor], [133])      Furniture And Decor  \n",
       "Shopper_118   ([Apparel And Accessories], [73])  Apparel And Accessories  \n",
       "Shopper_119  ([Apparel And Accessories], [124])  Apparel And Accessories  \n",
       "Shopper_12    ([Apparel And Accessories], [84])  Apparel And Accessories  \n",
       "Shopper_120   ([Apparel And Accessories], [79])  Apparel And Accessories  \n",
       "Shopper_121   ([Apparel And Accessories], [71])  Apparel And Accessories  \n",
       "Shopper_122           ([Qsr Restaurants], [81])          Qsr Restaurants  \n",
       "Shopper_123   ([Apparel And Accessories], [96])  Apparel And Accessories  \n",
       "Shopper_124       ([Furniture And Decor], [75])      Furniture And Decor  \n",
       "Shopper_125  ([Apparel And Accessories], [100])  Apparel And Accessories  \n",
       "...                                         ...                      ...  \n",
       "Shopper_72            ([Qsr Restaurants], [73])          Qsr Restaurants  \n",
       "Shopper_73    ([Apparel And Accessories], [59])  Apparel And Accessories  \n",
       "Shopper_74    ([Apparel And Accessories], [92])  Apparel And Accessories  \n",
       "Shopper_75   ([Apparel And Accessories], [102])  Apparel And Accessories  \n",
       "Shopper_76       ([Furniture And Decor], [116])      Furniture And Decor  \n",
       "Shopper_77            ([Qsr Restaurants], [72])          Qsr Restaurants  \n",
       "Shopper_78    ([Apparel And Accessories], [89])  Apparel And Accessories  \n",
       "Shopper_79    ([Apparel And Accessories], [90])  Apparel And Accessories  \n",
       "Shopper_8     ([Apparel And Accessories], [78])  Apparel And Accessories  \n",
       "Shopper_80        ([Furniture And Decor], [71])      Furniture And Decor  \n",
       "Shopper_81    ([Apparel And Accessories], [58])  Apparel And Accessories  \n",
       "Shopper_82            ([Qsr Restaurants], [96])          Qsr Restaurants  \n",
       "Shopper_83    ([Apparel And Accessories], [69])  Apparel And Accessories  \n",
       "Shopper_84           ([Qsr Restaurants], [102])          Qsr Restaurants  \n",
       "Shopper_85       ([Furniture And Decor], [107])      Furniture And Decor  \n",
       "Shopper_86        ([Furniture And Decor], [57])      Furniture And Decor  \n",
       "Shopper_87    ([Apparel And Accessories], [74])  Apparel And Accessories  \n",
       "Shopper_88    ([Apparel And Accessories], [95])  Apparel And Accessories  \n",
       "Shopper_89        ([Furniture And Decor], [76])      Furniture And Decor  \n",
       "Shopper_9         ([Furniture And Decor], [73])      Furniture And Decor  \n",
       "Shopper_90    ([Apparel And Accessories], [86])  Apparel And Accessories  \n",
       "Shopper_91        ([Furniture And Decor], [77])      Furniture And Decor  \n",
       "Shopper_92        ([Furniture And Decor], [71])      Furniture And Decor  \n",
       "Shopper_93            ([Qsr Restaurants], [97])          Qsr Restaurants  \n",
       "Shopper_94    ([Apparel And Accessories], [83])  Apparel And Accessories  \n",
       "Shopper_95   ([Apparel And Accessories], [116])  Apparel And Accessories  \n",
       "Shopper_96    ([Apparel And Accessories], [86])  Apparel And Accessories  \n",
       "Shopper_97    ([Apparel And Accessories], [65])  Apparel And Accessories  \n",
       "Shopper_98    ([Apparel And Accessories], [73])  Apparel And Accessories  \n",
       "Shopper_99    ([Apparel And Accessories], [70])  Apparel And Accessories  \n",
       "\n",
       "[567 rows x 4 columns]"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frames = [df_freq, df_freq2]\n",
    "result = pd.concat(frames, axis=1)\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "result.to_csv(r\"C:\\Users\\welcome\\Desktop\\exl__result.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "visiting_infodf.to_csv(r\"C:\\Users\\welcome\\Desktop\\visiting_infodf.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
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    "version": 3
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