08.DBSCAN.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# UNDESTANDING DBSCAN WITH TARGET STORE DATASET\n",
    "\n",
    "**Content**\n",
    "\n",
    "This dataset includes a record for Target location currently in operation as of April 2017. Columns include location data (address, Lat/Lon), store open date, last remodel date, capabilities (integrated Starbucks, CVS, etc.) and several other interesting data points.\n",
    "\n",
    "Notebook reference - https://medium.com/@kyleake/density-based-spatial-clustering-of-applications-with-noise-dbscan-on-target-store-locations-18540c1f6cb7\n",
    "\n",
    "Data - https://www.kaggle.com/ben1989/target-store-dataset\n",
    "\n",
    "### READ DATA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.cluster import DBSCAN\n",
    "from sklearn.metrics import silhouette_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('8.target.csv',encoding='ISO-8859-1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X.locale</th>\n",
       "      <th>Address.AddressLine1</th>\n",
       "      <th>Address.AddressLine2</th>\n",
       "      <th>Address.City</th>\n",
       "      <th>Address.CountryName</th>\n",
       "      <th>Address.County</th>\n",
       "      <th>Address.FormattedAddress</th>\n",
       "      <th>Address.IntersectionDescription</th>\n",
       "      <th>Address.Latitude</th>\n",
       "      <th>Address.Longitude</th>\n",
       "      <th>...</th>\n",
       "      <th>Is24Hours.Sat</th>\n",
       "      <th>IsOpen.Sat</th>\n",
       "      <th>Summary.Sat</th>\n",
       "      <th>ThruTime.Sat</th>\n",
       "      <th>BeginTime.Sun</th>\n",
       "      <th>Is24Hours.Sun</th>\n",
       "      <th>IsOpen.Sun</th>\n",
       "      <th>Summary.Sun</th>\n",
       "      <th>ThruTime.Sun</th>\n",
       "      <th>AllCapability</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>en-US</td>\n",
       "      <td>400 Oxford Exchange Blvd</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Oxford</td>\n",
       "      <td>United States</td>\n",
       "      <td>Calhoun</td>\n",
       "      <td>400 Oxford Exchange Blvd, Oxford, AL 36203-3459</td>\n",
       "      <td>SEC I-20 &amp; Golden Creek Rd</td>\n",
       "      <td>33.608825</td>\n",
       "      <td>-85.783182</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>8:00 a.m.-11:00 p.m.</td>\n",
       "      <td>23:00:00</td>\n",
       "      <td>8:00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>8:00 a.m.-10:00 p.m.</td>\n",
       "      <td>22:00:00</td>\n",
       "      <td>['CVS pharmacy', 'Café', 'Mobile Kiosk', 'Star...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>en-US</td>\n",
       "      <td>2640 Enterprise Dr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Opelika</td>\n",
       "      <td>United States</td>\n",
       "      <td>Lee</td>\n",
       "      <td>2640 Enterprise Dr, Opelika, AL 36801-1511</td>\n",
       "      <td>NWC I-85 &amp; Hwy 280</td>\n",
       "      <td>32.618108</td>\n",
       "      <td>-85.410636</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>8:00 a.m.-11:00 p.m.</td>\n",
       "      <td>23:00:00</td>\n",
       "      <td>8:00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>8:00 a.m.-10:00 p.m.</td>\n",
       "      <td>22:00:00</td>\n",
       "      <td>['CVS pharmacy', 'Cafe-Pizza', 'Fresh Grocery'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>en-US</td>\n",
       "      <td>1129 S Park St</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Carrollton</td>\n",
       "      <td>United States</td>\n",
       "      <td>Carroll</td>\n",
       "      <td>1129 S Park St, Carrollton, GA 30117-4429</td>\n",
       "      <td>NWC US 27 &amp; Hwy 166 Bypass</td>\n",
       "      <td>33.558920</td>\n",
       "      <td>-85.076473</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>8:00 a.m.-10:00 p.m.</td>\n",
       "      <td>22:00:00</td>\n",
       "      <td>8:00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>8:00 a.m.-9:00 p.m.</td>\n",
       "      <td>21:00:00</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>en-US</td>\n",
       "      <td>555 Bullsboro Dr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Newnan</td>\n",
       "      <td>United States</td>\n",
       "      <td>Coweta</td>\n",
       "      <td>555 Bullsboro Dr, Newnan, GA 30265-1045</td>\n",
       "      <td>SWC I-85 &amp; Rte 34</td>\n",
       "      <td>33.392907</td>\n",
       "      <td>-84.758875</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>8:00 a.m.-11:00 p.m.</td>\n",
       "      <td>23:00:00</td>\n",
       "      <td>8:00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>8:00 a.m.-10:00 p.m.</td>\n",
       "      <td>22:00:00</td>\n",
       "      <td>['CVS pharmacy', 'Café', 'Fresh Grocery', 'Mob...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>en-US</td>\n",
       "      <td>1591 Bradley Park Dr</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Columbus</td>\n",
       "      <td>United States</td>\n",
       "      <td>Muscogee</td>\n",
       "      <td>1591 Bradley Park Dr, Columbus, GA 31904-3071</td>\n",
       "      <td>NEC Bradley Pk &amp; JR Allen Pkwy</td>\n",
       "      <td>32.534649</td>\n",
       "      <td>-84.971073</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>8:00 a.m.-11:00 p.m.</td>\n",
       "      <td>23:00:00</td>\n",
       "      <td>8:00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>8:00 a.m.-10:00 p.m.</td>\n",
       "      <td>22:00:00</td>\n",
       "      <td>['CVS pharmacy', 'Café', 'Mobile Kiosk', 'Phot...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 47 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  X.locale      Address.AddressLine1 Address.AddressLine2 Address.City  \\\n",
       "0    en-US  400 Oxford Exchange Blvd                  NaN       Oxford   \n",
       "1    en-US        2640 Enterprise Dr                  NaN      Opelika   \n",
       "2    en-US            1129 S Park St                  NaN   Carrollton   \n",
       "3    en-US          555 Bullsboro Dr                  NaN       Newnan   \n",
       "4    en-US      1591 Bradley Park Dr                  NaN     Columbus   \n",
       "\n",
       "  Address.CountryName Address.County  \\\n",
       "0       United States        Calhoun   \n",
       "1       United States            Lee   \n",
       "2       United States        Carroll   \n",
       "3       United States         Coweta   \n",
       "4       United States       Muscogee   \n",
       "\n",
       "                          Address.FormattedAddress  \\\n",
       "0  400 Oxford Exchange Blvd, Oxford, AL 36203-3459   \n",
       "1       2640 Enterprise Dr, Opelika, AL 36801-1511   \n",
       "2        1129 S Park St, Carrollton, GA 30117-4429   \n",
       "3          555 Bullsboro Dr, Newnan, GA 30265-1045   \n",
       "4    1591 Bradley Park Dr, Columbus, GA 31904-3071   \n",
       "\n",
       "  Address.IntersectionDescription  Address.Latitude  Address.Longitude  ...  \\\n",
       "0      SEC I-20 & Golden Creek Rd         33.608825         -85.783182  ...   \n",
       "1              NWC I-85 & Hwy 280         32.618108         -85.410636  ...   \n",
       "2      NWC US 27 & Hwy 166 Bypass         33.558920         -85.076473  ...   \n",
       "3               SWC I-85 & Rte 34         33.392907         -84.758875  ...   \n",
       "4  NEC Bradley Pk & JR Allen Pkwy         32.534649         -84.971073  ...   \n",
       "\n",
       "  Is24Hours.Sat IsOpen.Sat           Summary.Sat  ThruTime.Sat  BeginTime.Sun  \\\n",
       "0         False       True  8:00 a.m.-11:00 p.m.      23:00:00        8:00:00   \n",
       "1         False       True  8:00 a.m.-11:00 p.m.      23:00:00        8:00:00   \n",
       "2         False       True  8:00 a.m.-10:00 p.m.      22:00:00        8:00:00   \n",
       "3         False       True  8:00 a.m.-11:00 p.m.      23:00:00        8:00:00   \n",
       "4         False       True  8:00 a.m.-11:00 p.m.      23:00:00        8:00:00   \n",
       "\n",
       "  Is24Hours.Sun IsOpen.Sun           Summary.Sun ThruTime.Sun  \\\n",
       "0         False       True  8:00 a.m.-10:00 p.m.     22:00:00   \n",
       "1         False       True  8:00 a.m.-10:00 p.m.     22:00:00   \n",
       "2         False       True   8:00 a.m.-9:00 p.m.     21:00:00   \n",
       "3         False       True  8:00 a.m.-10:00 p.m.     22:00:00   \n",
       "4         False       True  8:00 a.m.-10:00 p.m.     22:00:00   \n",
       "\n",
       "                                       AllCapability  \n",
       "0  ['CVS pharmacy', 'Café', 'Mobile Kiosk', 'Star...  \n",
       "1  ['CVS pharmacy', 'Cafe-Pizza', 'Fresh Grocery'...  \n",
       "2                                                NaN  \n",
       "3  ['CVS pharmacy', 'Café', 'Fresh Grocery', 'Mob...  \n",
       "4  ['CVS pharmacy', 'Café', 'Mobile Kiosk', 'Phot...  \n",
       "\n",
       "[5 rows x 47 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "(1829, 47)"
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    "df.shape"
   ]
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   "cell_type": "code",
   "execution_count": 5,
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1829 entries, 0 to 1828\n",
      "Data columns (total 47 columns):\n",
      " #   Column                               Non-Null Count  Dtype  \n",
      "---  ------                               --------------  -----  \n",
      " 0   X.locale                             1829 non-null   object \n",
      " 1   Address.AddressLine1                 1829 non-null   object \n",
      " 2   Address.AddressLine2                 58 non-null     object \n",
      " 3   Address.City                         1829 non-null   object \n",
      " 4   Address.CountryName                  1829 non-null   object \n",
      " 5   Address.County                       1828 non-null   object \n",
      " 6   Address.FormattedAddress             1829 non-null   object \n",
      " 7   Address.IntersectionDescription      1828 non-null   object \n",
      " 8   Address.Latitude                     1829 non-null   float64\n",
      " 9   Address.Longitude                    1829 non-null   float64\n",
      " 10  Address.PostalCode                   1829 non-null   object \n",
      " 11  Address.Subdivision                  1829 non-null   object \n",
      " 12  AlternateIdentifier.ID               1829 non-null   object \n",
      " 13  ID                                   1829 non-null   int64  \n",
      " 14  IsDaylightSavingsTimeRecognized      1829 non-null   bool   \n",
      " 15  LocationMilestones.LastRemodelDate   1434 non-null   object \n",
      " 16  LocationMilestones.OpenDate          1829 non-null   object \n",
      " 17  Market                               1738 non-null   object \n",
      " 18  Name                                 1829 non-null   object \n",
      " 19  OperatingHours..timeFormat           1829 non-null   object \n",
      " 20  Store.StoreDistrictID                1829 non-null   int64  \n",
      " 21  Store.StoreGroupID                   1829 non-null   int64  \n",
      " 22  Store.StoreRegionID                  1829 non-null   int64  \n",
      " 23  SubTypeDescription                   307 non-null    object \n",
      " 24  TimeZone.TimeZoneCode                1829 non-null   object \n",
      " 25  TimeZone.TimeZoneDescription         1829 non-null   object \n",
      " 26  TimeZone.TimeZoneOffset.OffsetCode   1829 non-null   object \n",
      " 27  TimeZone.TimeZoneOffset.OffsetHours  1829 non-null   int64  \n",
      " 28  TypeCode                             1829 non-null   object \n",
      " 29  PhoneNumber                          1829 non-null   object \n",
      " 30  FaxNumber                            1795 non-null   object \n",
      " 31  BeginTime.MF                         1829 non-null   object \n",
      " 32  Is24Hours.MF                         1829 non-null   bool   \n",
      " 33  IsOpen.MF                            1829 non-null   bool   \n",
      " 34  Summary.MF                           1829 non-null   object \n",
      " 35  ThruTime.MF                          1829 non-null   object \n",
      " 36  BeginTime.Sat                        1829 non-null   object \n",
      " 37  Is24Hours.Sat                        1829 non-null   bool   \n",
      " 38  IsOpen.Sat                           1829 non-null   bool   \n",
      " 39  Summary.Sat                          1829 non-null   object \n",
      " 40  ThruTime.Sat                         1829 non-null   object \n",
      " 41  BeginTime.Sun                        1824 non-null   object \n",
      " 42  Is24Hours.Sun                        1824 non-null   object \n",
      " 43  IsOpen.Sun                           1824 non-null   object \n",
      " 44  Summary.Sun                          1824 non-null   object \n",
      " 45  ThruTime.Sun                         1824 non-null   object \n",
      " 46  AllCapability                        1817 non-null   object \n",
      "dtypes: bool(5), float64(2), int64(5), object(35)\n",
      "memory usage: 609.2+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Address.Latitude</th>\n",
       "      <th>Address.Longitude</th>\n",
       "      <th>ID</th>\n",
       "      <th>Store.StoreDistrictID</th>\n",
       "      <th>Store.StoreGroupID</th>\n",
       "      <th>Store.StoreRegionID</th>\n",
       "      <th>TimeZone.TimeZoneOffset.OffsetHours</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1829.000000</td>\n",
       "      <td>1829.000000</td>\n",
       "      <td>1829.000000</td>\n",
       "      <td>1829.000000</td>\n",
       "      <td>1829.000000</td>\n",
       "      <td>1829.000000</td>\n",
       "      <td>1829.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>37.618538</td>\n",
       "      <td>-93.586666</td>\n",
       "      <td>1571.299617</td>\n",
       "      <td>280.720612</td>\n",
       "      <td>335.435210</td>\n",
       "      <td>241.060689</td>\n",
       "      <td>-6.057408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>5.203413</td>\n",
       "      <td>16.684875</td>\n",
       "      <td>776.198631</td>\n",
       "      <td>114.767723</td>\n",
       "      <td>111.974392</td>\n",
       "      <td>111.598546</td>\n",
       "      <td>1.164992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>19.648413</td>\n",
       "      <td>-158.092822</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>101.000000</td>\n",
       "      <td>190.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>-10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>33.853038</td>\n",
       "      <td>-106.077670</td>\n",
       "      <td>993.000000</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>197.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>-7.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>38.579381</td>\n",
       "      <td>-88.200911</td>\n",
       "      <td>1484.000000</td>\n",
       "      <td>302.000000</td>\n",
       "      <td>390.000000</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>-6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>41.561322</td>\n",
       "      <td>-80.599357</td>\n",
       "      <td>2191.000000</td>\n",
       "      <td>372.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>-5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>61.578202</td>\n",
       "      <td>-68.741560</td>\n",
       "      <td>3295.000000</td>\n",
       "      <td>470.000000</td>\n",
       "      <td>499.000000</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>-5.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Address.Latitude  Address.Longitude           ID  \\\n",
       "count       1829.000000        1829.000000  1829.000000   \n",
       "mean          37.618538         -93.586666  1571.299617   \n",
       "std            5.203413          16.684875   776.198631   \n",
       "min           19.648413        -158.092822     3.000000   \n",
       "25%           33.853038        -106.077670   993.000000   \n",
       "50%           38.579381         -88.200911  1484.000000   \n",
       "75%           41.561322         -80.599357  2191.000000   \n",
       "max           61.578202         -68.741560  3295.000000   \n",
       "\n",
       "       Store.StoreDistrictID  Store.StoreGroupID  Store.StoreRegionID  \\\n",
       "count            1829.000000         1829.000000          1829.000000   \n",
       "mean              280.720612          335.435210           241.060689   \n",
       "std               114.767723          111.974392           111.598546   \n",
       "min               101.000000          190.000000           100.000000   \n",
       "25%               172.000000          197.000000           100.000000   \n",
       "50%               302.000000          390.000000           300.000000   \n",
       "75%               372.000000          395.000000           300.000000   \n",
       "max               470.000000          499.000000           400.000000   \n",
       "\n",
       "       TimeZone.TimeZoneOffset.OffsetHours  \n",
       "count                          1829.000000  \n",
       "mean                             -6.057408  \n",
       "std                               1.164992  \n",
       "min                             -10.000000  \n",
       "25%                              -7.000000  \n",
       "50%                              -6.000000  \n",
       "75%                              -5.000000  \n",
       "max                              -5.000000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this problem, we will use only 'Address.Latitude' and 'Address.Longitude' columns to clustering. So let's retain only those columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Address.Latitude</th>\n",
       "      <th>Address.Longitude</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Oxford</th>\n",
       "      <td>33.608825</td>\n",
       "      <td>-85.783182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opelika</th>\n",
       "      <td>32.618108</td>\n",
       "      <td>-85.410636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Carrollton</th>\n",
       "      <td>33.558920</td>\n",
       "      <td>-85.076473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Newnan</th>\n",
       "      <td>33.392907</td>\n",
       "      <td>-84.758875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Columbus</th>\n",
       "      <td>32.534649</td>\n",
       "      <td>-84.971073</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Address.Latitude  Address.Longitude\n",
       "Name                                           \n",
       "Oxford             33.608825         -85.783182\n",
       "Opelika            32.618108         -85.410636\n",
       "Carrollton         33.558920         -85.076473\n",
       "Newnan             33.392907         -84.758875\n",
       "Columbus           32.534649         -84.971073"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# choose columns\n",
    "df = df[['Name', 'Address.Latitude', 'Address.Longitude']]\n",
    "df = df.set_index('Name')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "coords = df.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.015696101377226164"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#100 km\n",
    "kms_per_radian = 6371.0088\n",
    "epsilon = 100 / kms_per_radian\n",
    "epsilon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "db = DBSCAN(eps = 0.3,\n",
    "             min_samples = 3,\n",
    "             algorithm = 'ball_tree',\n",
    "             metric = 'haversine').fit(np.radians(coords))\n",
    "cluster_labels = db.labels_\n",
    "num_clusters = len(set(cluster_labels))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, ..., 0, 0, 0])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cluster_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Create new column for cluster labels\n",
    "df['DBSCAN_labels'] = cluster_labels"
   ]
  },
  {
   "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>Address.Latitude</th>\n",
       "      <th>Address.Longitude</th>\n",
       "      <th>DBSCAN_labels</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Name</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Oxford</th>\n",
       "      <td>33.608825</td>\n",
       "      <td>-85.783182</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Opelika</th>\n",
       "      <td>32.618108</td>\n",
       "      <td>-85.410636</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Carrollton</th>\n",
       "      <td>33.558920</td>\n",
       "      <td>-85.076473</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Newnan</th>\n",
       "      <td>33.392907</td>\n",
       "      <td>-84.758875</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Columbus</th>\n",
       "      <td>32.534649</td>\n",
       "      <td>-84.971073</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Address.Latitude  Address.Longitude  DBSCAN_labels\n",
       "Name                                                          \n",
       "Oxford             33.608825         -85.783182              0\n",
       "Opelika            32.618108         -85.410636              0\n",
       "Carrollton         33.558920         -85.076473              0\n",
       "Newnan             33.392907         -84.758875              0\n",
       "Columbus           32.534649         -84.971073              0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['DBSCAN_labels'].value_counts().sort_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(df['Address.Latitude'], df['Address.Longitude'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb00bd8e650>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns; sns.set()\n",
    "plt.figure(figsize = (15, 10))\n",
    "ax = sns.scatterplot(x=\"Address.Latitude\", \n",
    "                     y=\"Address.Longitude\", \n",
    "                     hue=\"DBSCAN_labels\",\n",
    "                     data=df)\n",
    "plt.xlabel('Target Address Latitude')\n",
    "plt.ylabel('Target Address Longitude')\n",
    "ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fb00bf692d0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#200 km\n",
    "kms_per_radian = 6371.0088\n",
    "epsilon = 200 / kms_per_radian\n",
    "\n",
    "db = DBSCAN(eps = epsilon,\n",
    "             min_samples = 3,\n",
    "             algorithm = 'ball_tree',\n",
    "             metric = 'haversine').fit(np.radians(coords))\n",
    "cluster_labels = db.labels_\n",
    "num_clusters = len(set(cluster_labels))\n",
    "\n",
    "df['DBSCAN_labels'] = cluster_labels\n",
    "\n",
    "import seaborn as sns; sns.set()\n",
    "plt.figure(figsize = (15, 10))\n",
    "ax = sns.scatterplot(x=\"Address.Latitude\", \n",
    "                     y=\"Address.Longitude\", \n",
    "                     hue=\"DBSCAN_labels\",\n",
    "                     data=df)\n",
    "plt.xlabel('Target Address Latitude')\n",
    "plt.ylabel('Target Address Longitude')\n",
    "ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-1        7\n",
       " 0     1326\n",
       " 1        3\n",
       " 2       45\n",
       " 3      289\n",
       " 4        7\n",
       " 5        5\n",
       " 6       16\n",
       " 7       44\n",
       " 8       12\n",
       " 9       53\n",
       " 10       7\n",
       " 11       4\n",
       " 12      11\n",
       "Name: DBSCAN_labels, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['DBSCAN_labels'].value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.03139220275445233"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "epsilon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "14"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
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