Scripts/6.5 Unsupervised Machine Learning.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6.5 Machine Learning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### This script contains the following:\n",
    "\n",
    "#### 1. Importing libraries and data and renaming columns\n",
    "#### 2. The elbow technique\n",
    "#### 3. k-means clustering"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Importing libraries and data and renaming columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "import sklearn\n",
    "from sklearn.cluster import KMeans\n",
    "import pylab as pl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# disabling deprecation warnings\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This option ensures the graphs you create are displayed in your notebook without the need to \"call\" them specifically.\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "path = \"C:/Users/kevan/Documents/Career Foundry/Data Immersion/Achievement 6/Final Project\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing dataframe\n",
    "df = pd.read_csv(r'C:\\Users\\kevan\\Documents\\Career Foundry\\Data Immersion\\Achievement 6\\Final Project\\Data\\Prepared Data\\df_clean.csv', index_col = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(12852, 49)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# setting max columns to see all in df\n",
    "\n",
    "pd.set_option('display.max_columns', 50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# setting max rows to see all in df\n",
    "\n",
    "pd.set_option('display.max_rows', 160)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# renaming columns\n",
    "\n",
    "df.rename(columns = {'Income_Limit': 'bbce_Income_Lmt', 'bbce_assetlmt_eliminated' : 'bbce_ast_elim', 'bbce_assetlmt_1kdollars': 'bbce_ast_1k', 'CAP_for_SSI': 'CAP_SSI', 'Average_Months_Certification': 'Avg_Mo_Earn', 'Median_Months_Certification': 'Med_Mo_Earn', 'Average_Months_Elderly' : 'Avg_Mo_Elderly', 'Median_Months_Elderly' : 'Med_Mo_Elderly', 'Average_Months_Nonearning' : 'Avg_Mo_Nonearning', 'Median_Months_Nonearning' : 'Med_Mo_Nonearning', 'Int_Face_Interview_Waiver' : 'Phone_Initial', 'Recert_Face_Interview_Waiver': 'Phone_Recert', 'All_Elig_Noncitizen_Adult' : 'All_Non_Adult', 'Some_Elig_Noncitizen_Adult' : 'Some_Non_Adult', 'All_Elig_Noncitizen_Child' : 'All_Non_Child', 'Some_Elig_Noncitizen_Child' : 'Some_Non_Child', 'All_Elig_Noncitizen_Elderly' : 'All_Non_Elderly', 'Some_Elig_Noncitizen_Elderly' : 'Some_Non_Elderly'}, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State</th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>bbce</th>\n",
       "      <th>bbce_Income_Lmt</th>\n",
       "      <th>bbce_ast_elim</th>\n",
       "      <th>bbce_ast_1k</th>\n",
       "      <th>bbce_vehicle</th>\n",
       "      <th>bbce_household</th>\n",
       "      <th>bbce_senior_disabled</th>\n",
       "      <th>call_center</th>\n",
       "      <th>CAP_SSI</th>\n",
       "      <th>1to3_earn</th>\n",
       "      <th>4to6_earn</th>\n",
       "      <th>7to12_earn</th>\n",
       "      <th>13mo_earn</th>\n",
       "      <th>Avg_Mo_Earn</th>\n",
       "      <th>Med_Mo_Earn</th>\n",
       "      <th>1to3_elderly</th>\n",
       "      <th>4to6_elderly</th>\n",
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       "      <th>13mo_elderly</th>\n",
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       "      <th>Med_Mo_Elderly</th>\n",
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       "      <th>7to12_nonearn</th>\n",
       "      <th>13mo_nonearn</th>\n",
       "      <th>Avg_Mo_Nonearning</th>\n",
       "      <th>Med_Mo_Nonearning</th>\n",
       "      <th>%dollar_EBT</th>\n",
       "      <th>Phone_Initial</th>\n",
       "      <th>Phone_Recert</th>\n",
       "      <th>fingerprint</th>\n",
       "      <th>All_Non_Adult</th>\n",
       "      <th>Some_Non_Adult</th>\n",
       "      <th>All_Non_Child</th>\n",
       "      <th>Some_Non_Child</th>\n",
       "      <th>All_Non_Elderly</th>\n",
       "      <th>Some_Non_Elderly</th>\n",
       "      <th>Online_Application</th>\n",
       "      <th>outreach_spend</th>\n",
       "      <th>Simple_Reporting_Option</th>\n",
       "      <th>Transitional_Benefits</th>\n",
       "      <th>Exclude_All_Vehicles</th>\n",
       "      <th>High_Vehicle_Exemption</th>\n",
       "      <th>Exclude_OnePlus_Vehicles</th>\n",
       "      <th>EBT category</th>\n",
       "      <th>Fingerprint requirement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>1996</td>\n",
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       "      <td>11.313845</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.007576</td>\n",
       "      <td>0.046903</td>\n",
       "      <td>0.945521</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.633732</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.050756</td>\n",
       "      <td>0.360505</td>\n",
       "      <td>0.588739</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.023605</td>\n",
       "      <td>9.500000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Low EBT %</td>\n",
       "      <td>Not Required</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>1996</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
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       "      <td>12.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Low EBT %</td>\n",
       "      <td>Not Required</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>1996</td>\n",
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       "      <td>0.025168</td>\n",
       "      <td>0.967256</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.764141</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.050330</td>\n",
       "      <td>0.360387</td>\n",
       "      <td>0.589283</td>\n",
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       "      <td>9.027948</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Low EBT %</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>1996</td>\n",
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       "      <td>False</td>\n",
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       "      <td>12.0</td>\n",
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       "      <td>0.016835</td>\n",
       "      <td>0.975589</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.830808</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.048053</td>\n",
       "      <td>0.358938</td>\n",
       "      <td>0.593009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.115215</td>\n",
       "      <td>11.250000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Low EBT %</td>\n",
       "      <td>Not Required</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>1996</td>\n",
       "      <td>5</td>\n",
       "      <td>False</td>\n",
       "      <td>-9</td>\n",
       "      <td>-9</td>\n",
       "      <td>-9.0</td>\n",
       "      <td>-9</td>\n",
       "      <td>-9</td>\n",
       "      <td>-9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010259</td>\n",
       "      <td>0.067784</td>\n",
       "      <td>0.921957</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.379592</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009259</td>\n",
       "      <td>0.990741</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.924837</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.041038</td>\n",
       "      <td>0.363640</td>\n",
       "      <td>0.595322</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.174034</td>\n",
       "      <td>11.250000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Low EBT %</td>\n",
       "      <td>Not Required</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     State  Year  Month   bbce  bbce_Income_Lmt  bbce_ast_elim  bbce_ast_1k  \\\n",
       "0  Alabama  1996      1  False               -9             -9         -9.0   \n",
       "1  Alabama  1996      2  False               -9             -9         -9.0   \n",
       "2  Alabama  1996      3  False               -9             -9         -9.0   \n",
       "3  Alabama  1996      4  False               -9             -9         -9.0   \n",
       "4  Alabama  1996      5  False               -9             -9         -9.0   \n",
       "\n",
       "   bbce_vehicle  bbce_household  bbce_senior_disabled  call_center  CAP_SSI  \\\n",
       "0            -9              -9                    -9          0.0      0.0   \n",
       "1            -9              -9                    -9          0.0      0.0   \n",
       "2            -9              -9                    -9          0.0      0.0   \n",
       "3            -9              -9                    -9          0.0      0.0   \n",
       "4            -9              -9                    -9          0.0      0.0   \n",
       "\n",
       "   1to3_earn  4to6_earn  7to12_earn  13mo_earn  Avg_Mo_Earn  Med_Mo_Earn  \\\n",
       "0   0.007937   0.080853    0.911210        0.0    11.313845         12.0   \n",
       "1   0.007937   0.074186    0.917877        0.0    11.373845         12.0   \n",
       "2   0.005051   0.068414    0.926535        0.0    11.425072         12.0   \n",
       "3   0.010259   0.075030    0.914711        0.0    11.350606         12.0   \n",
       "4   0.010259   0.067784    0.921957        0.0    11.379592         12.0   \n",
       "\n",
       "   1to3_elderly  4to6_elderly  7to12_elderly  13mo_elderly  Avg_Mo_Elderly  \\\n",
       "0      0.007576      0.046903       0.945521           0.0       11.633732   \n",
       "1      0.007576      0.047391       0.945034           0.0       11.630808   \n",
       "2      0.007576      0.025168       0.967256           0.0       11.764141   \n",
       "3      0.007576      0.016835       0.975589           0.0       11.830808   \n",
       "4      0.000000      0.009259       0.990741           0.0       11.924837   \n",
       "\n",
       "   Med_Mo_Elderly  1to3_nonearn  4to6_nonearn  7to12_nonearn  13mo_nonearn  \\\n",
       "0            12.0      0.050756      0.360505       0.588739           0.0   \n",
       "1            12.0      0.049486      0.351775       0.598739           0.0   \n",
       "2            12.0      0.050330      0.360387       0.589283           0.0   \n",
       "3            12.0      0.048053      0.358938       0.593009           0.0   \n",
       "4            12.0      0.041038      0.363640       0.595322           0.0   \n",
       "\n",
       "   Avg_Mo_Nonearning  Med_Mo_Nonearning  %dollar_EBT  Phone_Initial  \\\n",
       "0           9.023605           9.500000          0.0              0   \n",
       "1           9.120906          10.416667          0.0              0   \n",
       "2           9.027948          10.416667          0.0              0   \n",
       "3           9.115215          11.250000          0.0              0   \n",
       "4           9.174034          11.250000          0.0              0   \n",
       "\n",
       "   Phone_Recert  fingerprint  All_Non_Adult  Some_Non_Adult  All_Non_Child  \\\n",
       "0             0            0            1.0             0.0              1   \n",
       "1             0            0            1.0             0.0              1   \n",
       "2             0            0            1.0             0.0              1   \n",
       "3             0            0            1.0             0.0              1   \n",
       "4             0            0            1.0             0.0              1   \n",
       "\n",
       "   Some_Non_Child  All_Non_Elderly  Some_Non_Elderly  Online_Application  \\\n",
       "0               0              1.0               0.0                   0   \n",
       "1               0              1.0               0.0                   0   \n",
       "2               0              1.0               0.0                   0   \n",
       "3               0              1.0               0.0                   0   \n",
       "4               0              1.0               0.0                   0   \n",
       "\n",
       "   outreach_spend  Simple_Reporting_Option  Transitional_Benefits  \\\n",
       "0             0.0                      0.0                    0.0   \n",
       "1             0.0                      0.0                    0.0   \n",
       "2             0.0                      0.0                    0.0   \n",
       "3             0.0                      0.0                    0.0   \n",
       "4             0.0                      0.0                    0.0   \n",
       "\n",
       "   Exclude_All_Vehicles  High_Vehicle_Exemption  Exclude_OnePlus_Vehicles  \\\n",
       "0                   0.0                     0.0                       0.0   \n",
       "1                   0.0                     0.0                       0.0   \n",
       "2                   0.0                     0.0                       0.0   \n",
       "3                   0.0                     0.0                       0.0   \n",
       "4                   0.0                     0.0                       0.0   \n",
       "\n",
       "  EBT category Fingerprint requirement  \n",
       "0    Low EBT %            Not Required  \n",
       "1    Low EBT %            Not Required  \n",
       "2    Low EBT %            Not Required  \n",
       "3    Low EBT %            Not Required  \n",
       "4    Low EBT %            Not Required  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# creating a subset of the data with numeric variables to use in k means analysis\n",
    "\n",
    "df_kmeans = df[['1to3_earn', '4to6_earn', '7to12_earn', '13mo_earn', 'Avg_Mo_Earn', 'Med_Mo_Earn', '1to3_elderly', '4to6_elderly', '7to12_elderly', '13mo_elderly', 'Avg_Mo_Elderly', 'Med_Mo_Elderly', '1to3_nonearn', '4to6_nonearn', '7to12_nonearn', '13mo_nonearn', 'Avg_Mo_Nonearning', 'Med_Mo_Nonearning', '%dollar_EBT', 'outreach_spend']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1to3_earn            153\n",
       "4to6_earn            153\n",
       "7to12_earn           153\n",
       "13mo_earn            153\n",
       "Avg_Mo_Earn          153\n",
       "Med_Mo_Earn          153\n",
       "1to3_elderly         153\n",
       "4to6_elderly         153\n",
       "7to12_elderly        153\n",
       "13mo_elderly         153\n",
       "Avg_Mo_Elderly       153\n",
       "Med_Mo_Elderly       153\n",
       "1to3_nonearn         153\n",
       "4to6_nonearn         153\n",
       "7to12_nonearn        153\n",
       "13mo_nonearn         153\n",
       "Avg_Mo_Nonearning    153\n",
       "Med_Mo_Nonearning    153\n",
       "%dollar_EBT            0\n",
       "outreach_spend       153\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check for null values\n",
    "\n",
    "df_kmeans.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# dropping null values. these values represent data that was not available at time of collection\n",
    "\n",
    "df_kmeans.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1to3_earn            0\n",
       "4to6_earn            0\n",
       "7to12_earn           0\n",
       "13mo_earn            0\n",
       "Avg_Mo_Earn          0\n",
       "Med_Mo_Earn          0\n",
       "1to3_elderly         0\n",
       "4to6_elderly         0\n",
       "7to12_elderly        0\n",
       "13mo_elderly         0\n",
       "Avg_Mo_Elderly       0\n",
       "Med_Mo_Elderly       0\n",
       "1to3_nonearn         0\n",
       "4to6_nonearn         0\n",
       "7to12_nonearn        0\n",
       "13mo_nonearn         0\n",
       "Avg_Mo_Nonearning    0\n",
       "Med_Mo_Nonearning    0\n",
       "%dollar_EBT          0\n",
       "outreach_spend       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# verify null values dropped\n",
    "\n",
    "df_kmeans.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. The elbow technique"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_cl = range(1, 10) # Defines the range of potential clusters in the data.\n",
    "kmeans = [KMeans(n_clusters=i) for i in num_cl] # Defines k-means clusters in the range assigned above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[-217217777.687088,\n",
       " -90051078.74954931,\n",
       " -36758000.066670686,\n",
       " -21876825.551082566,\n",
       " -15160201.942298565,\n",
       " -9736263.287830953,\n",
       " -7012763.990170272,\n",
       " -5800721.419018442,\n",
       " -4752642.62572967]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Creates a score that represents a rate of variation for the given cluster option.\n",
    "\n",
    "score = [kmeans[i].fit(df_kmeans).score(df_kmeans) for i in range(len(kmeans))]\n",
    "score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the elbow curve using PyLab.\n",
    "\n",
    "pl.plot(num_cl,score)\n",
    "pl.xlabel('Number of Clusters')\n",
    "pl.ylabel('Score')\n",
    "pl.title('Elbow Curve')\n",
    "pl.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###  There's a large jump from three to four on the x-axis, but after that, the curve straightens out. This means that the optimal cluster count is four."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. k-means clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create the k-means object.\n",
    "\n",
    "kmeans = KMeans(n_clusters = 4) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>KMeans(n_clusters=4)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">KMeans</label><div class=\"sk-toggleable__content\"><pre>KMeans(n_clusters=4)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "KMeans(n_clusters=4)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Fit the k-means object to the data.\n",
    "\n",
    "kmeans.fit(df_kmeans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# creating column with cluster assignment to each row\n",
    "\n",
    "df_kmeans['clusters'] = kmeans.fit_predict(df_kmeans)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .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>1to3_earn</th>\n",
       "      <th>4to6_earn</th>\n",
       "      <th>7to12_earn</th>\n",
       "      <th>13mo_earn</th>\n",
       "      <th>Avg_Mo_Earn</th>\n",
       "      <th>Med_Mo_Earn</th>\n",
       "      <th>1to3_elderly</th>\n",
       "      <th>4to6_elderly</th>\n",
       "      <th>7to12_elderly</th>\n",
       "      <th>13mo_elderly</th>\n",
       "      <th>Avg_Mo_Elderly</th>\n",
       "      <th>Med_Mo_Elderly</th>\n",
       "      <th>1to3_nonearn</th>\n",
       "      <th>4to6_nonearn</th>\n",
       "      <th>7to12_nonearn</th>\n",
       "      <th>13mo_nonearn</th>\n",
       "      <th>Avg_Mo_Nonearning</th>\n",
       "      <th>Med_Mo_Nonearning</th>\n",
       "      <th>%dollar_EBT</th>\n",
       "      <th>outreach_spend</th>\n",
       "      <th>clusters</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.007937</td>\n",
       "      <td>0.080853</td>\n",
       "      <td>0.911210</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.313845</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.007576</td>\n",
       "      <td>0.046903</td>\n",
       "      <td>0.945521</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.633732</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.050756</td>\n",
       "      <td>0.360505</td>\n",
       "      <td>0.588739</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.023605</td>\n",
       "      <td>9.500000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.007937</td>\n",
       "      <td>0.074186</td>\n",
       "      <td>0.917877</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.373845</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.007576</td>\n",
       "      <td>0.047391</td>\n",
       "      <td>0.945034</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.630808</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.049486</td>\n",
       "      <td>0.351775</td>\n",
       "      <td>0.598739</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.120906</td>\n",
       "      <td>10.416667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.005051</td>\n",
       "      <td>0.068414</td>\n",
       "      <td>0.926535</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.425072</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.007576</td>\n",
       "      <td>0.025168</td>\n",
       "      <td>0.967256</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.764141</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.050330</td>\n",
       "      <td>0.360387</td>\n",
       "      <td>0.589283</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.027948</td>\n",
       "      <td>10.416667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.010259</td>\n",
       "      <td>0.075030</td>\n",
       "      <td>0.914711</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.350606</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.007576</td>\n",
       "      <td>0.016835</td>\n",
       "      <td>0.975589</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.830808</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.048053</td>\n",
       "      <td>0.358938</td>\n",
       "      <td>0.593009</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.115215</td>\n",
       "      <td>11.250000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.010259</td>\n",
       "      <td>0.067784</td>\n",
       "      <td>0.921957</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.379592</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.009259</td>\n",
       "      <td>0.990741</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.924837</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.041038</td>\n",
       "      <td>0.363640</td>\n",
       "      <td>0.595322</td>\n",
       "      <td>0.0</td>\n",
       "      <td>9.174034</td>\n",
       "      <td>11.250000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   1to3_earn  4to6_earn  7to12_earn  13mo_earn  Avg_Mo_Earn  Med_Mo_Earn  \\\n",
       "0   0.007937   0.080853    0.911210        0.0    11.313845         12.0   \n",
       "1   0.007937   0.074186    0.917877        0.0    11.373845         12.0   \n",
       "2   0.005051   0.068414    0.926535        0.0    11.425072         12.0   \n",
       "3   0.010259   0.075030    0.914711        0.0    11.350606         12.0   \n",
       "4   0.010259   0.067784    0.921957        0.0    11.379592         12.0   \n",
       "\n",
       "   1to3_elderly  4to6_elderly  7to12_elderly  13mo_elderly  Avg_Mo_Elderly  \\\n",
       "0      0.007576      0.046903       0.945521           0.0       11.633732   \n",
       "1      0.007576      0.047391       0.945034           0.0       11.630808   \n",
       "2      0.007576      0.025168       0.967256           0.0       11.764141   \n",
       "3      0.007576      0.016835       0.975589           0.0       11.830808   \n",
       "4      0.000000      0.009259       0.990741           0.0       11.924837   \n",
       "\n",
       "   Med_Mo_Elderly  1to3_nonearn  4to6_nonearn  7to12_nonearn  13mo_nonearn  \\\n",
       "0            12.0      0.050756      0.360505       0.588739           0.0   \n",
       "1            12.0      0.049486      0.351775       0.598739           0.0   \n",
       "2            12.0      0.050330      0.360387       0.589283           0.0   \n",
       "3            12.0      0.048053      0.358938       0.593009           0.0   \n",
       "4            12.0      0.041038      0.363640       0.595322           0.0   \n",
       "\n",
       "   Avg_Mo_Nonearning  Med_Mo_Nonearning  %dollar_EBT  outreach_spend  clusters  \n",
       "0           9.023605           9.500000          0.0             0.0         0  \n",
       "1           9.120906          10.416667          0.0             0.0         0  \n",
       "2           9.027948          10.416667          0.0             0.0         0  \n",
       "3           9.115215          11.250000          0.0             0.0         0  \n",
       "4           9.174034          11.250000          0.0             0.0         0  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_kmeans.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "clusters\n",
       "0    11049\n",
       "2     1242\n",
       "1      348\n",
       "3       60\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# value counts for each cluster\n",
    "\n",
    "df_kmeans['clusters'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# `hue` assigns kmeans label to values\n",
    "# `s` represents the size of the points you want to see in the plot.\n",
    "\n",
    "plt.figure(figsize=(12,8))\n",
    "ax = sns.scatterplot(x=df_kmeans['outreach_spend'], y=df_kmeans['7to12_earn'], hue=kmeans.labels_, s=100) \n",
    "\n",
    "ax.grid(False) # This removes the grid from the background.\n",
    "plt.title('Cluster Analysis', fontsize=15)\n",
    "plt.xlabel('Outreach Spending') # Label x-axis.\n",
    "plt.ylabel('Earning 7 to 12 Months') # Label y-axis.\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The lighter purple group represents data points for California where outreach spending was highest among all states. This was confirmed against the raw data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# labeling each cluster color\n",
    "\n",
    "df_kmeans.loc[df_kmeans['clusters'] == 3, 'cluster'] = 'dark purple'\n",
    "df_kmeans.loc[df_kmeans['clusters'] == 2, 'cluster'] = 'purple'\n",
    "df_kmeans.loc[df_kmeans['clusters'] == 1, 'cluster'] = 'pink'\n",
    "df_kmeans.loc[df_kmeans['clusters'] == 0, 'cluster'] = 'light pink'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">outreach_spend</th>\n",
       "      <th colspan=\"2\" halign=\"left\">7to12_earn</th>\n",
       "      <th colspan=\"2\" halign=\"left\">7to12_nonearn</th>\n",
       "      <th colspan=\"2\" halign=\"left\">7to12_elderly</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cluster</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>dark purple</th>\n",
       "      <td>1348.816626</td>\n",
       "      <td>1236.392456</td>\n",
       "      <td>0.972641</td>\n",
       "      <td>0.975406</td>\n",
       "      <td>0.954271</td>\n",
       "      <td>0.952288</td>\n",
       "      <td>0.593301</td>\n",
       "      <td>0.597365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>light pink</th>\n",
       "      <td>11.948679</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.479488</td>\n",
       "      <td>0.384724</td>\n",
       "      <td>0.523270</td>\n",
       "      <td>0.502833</td>\n",
       "      <td>0.621117</td>\n",
       "      <td>0.722963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pink</th>\n",
       "      <td>465.511202</td>\n",
       "      <td>437.308350</td>\n",
       "      <td>0.473469</td>\n",
       "      <td>0.613530</td>\n",
       "      <td>0.404877</td>\n",
       "      <td>0.411692</td>\n",
       "      <td>0.309258</td>\n",
       "      <td>0.298028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>purple</th>\n",
       "      <td>170.963360</td>\n",
       "      <td>164.064995</td>\n",
       "      <td>0.509740</td>\n",
       "      <td>0.444983</td>\n",
       "      <td>0.502100</td>\n",
       "      <td>0.483583</td>\n",
       "      <td>0.544195</td>\n",
       "      <td>0.645189</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            outreach_spend              7to12_earn           7to12_nonearn  \\\n",
       "                      mean       median       mean    median          mean   \n",
       "cluster                                                                      \n",
       "dark purple    1348.816626  1236.392456   0.972641  0.975406      0.954271   \n",
       "light pink       11.948679     0.000000   0.479488  0.384724      0.523270   \n",
       "pink            465.511202   437.308350   0.473469  0.613530      0.404877   \n",
       "purple          170.963360   164.064995   0.509740  0.444983      0.502100   \n",
       "\n",
       "                      7to12_elderly            \n",
       "               median          mean    median  \n",
       "cluster                                        \n",
       "dark purple  0.952288      0.593301  0.597365  \n",
       "light pink   0.502833      0.621117  0.722963  \n",
       "pink         0.411692      0.309258  0.298028  \n",
       "purple       0.483583      0.544195  0.645189  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculating mean and median for specified columns and the clusters found within those columns\n",
    "\n",
    "df_kmeans.groupby('cluster').agg({'outreach_spend':['mean', 'median'], \n",
    "                         '7to12_earn':['mean', 'median'], \n",
    "                         '7to12_nonearn':['mean', 'median'],\n",
    "                          '7to12_elderly':['mean', 'median']})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Outreach spending was highest in the purple cluster and the lowest in the light pink cluster.\n",
    "\n",
    "### Earning had the highest average and median proportion (purple) and elderly had the lowest average and median (pink).\n",
    "\n",
    "### There are three clusters within each group of individuals regardless of recertification period (light pink, pink, dark purple). This is likely indicating earning, nonearning, and elderly."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Exporting Visuals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "ax.figure.savefig(os.path.join(path, 'Analysis','Visualizations', 'cluster.png'))"
   ]
  }
 ],
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  "kernelspec": {
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