3a_Provider_Level_Data_Transform_YS.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e53911c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dependencies\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pylab as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c2c7eef5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load the data from csv to pandas dataframe\n",
    "Healthcare_Provider_raw = pd.read_csv(\"data/Train-1542865627584.csv\")\n",
    "Healthcare_Beneficiary_raw = pd.read_csv(\"data/Train_Beneficiarydata-1542865627584.csv\")\n",
    "Healthcare_Inpatient_raw = pd.read_csv(\"data/Train_Inpatientdata-1542865627584.csv\")\n",
    "Healthcare_Outpatient_raw = pd.read_csv(\"data/Train_Outpatientdata-1542865627584.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d080bd3d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Assign inpatient data as 1, outpatient data as 0\n",
    "\n",
    "Healthcare_Inpatient_raw['In_Out']=1\n",
    "Healthcare_Outpatient_raw['In_Out']=0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ae6fec64",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BeneID</th>\n",
       "      <th>ClaimID</th>\n",
       "      <th>ClaimStartDt</th>\n",
       "      <th>ClaimEndDt</th>\n",
       "      <th>Provider</th>\n",
       "      <th>InscClaimAmtReimbursed</th>\n",
       "      <th>AttendingPhysician</th>\n",
       "      <th>OperatingPhysician</th>\n",
       "      <th>OtherPhysician</th>\n",
       "      <th>AdmissionDt</th>\n",
       "      <th>...</th>\n",
       "      <th>ChronicCond_Diabetes</th>\n",
       "      <th>ChronicCond_IschemicHeart</th>\n",
       "      <th>ChronicCond_Osteoporasis</th>\n",
       "      <th>ChronicCond_rheumatoidarthritis</th>\n",
       "      <th>ChronicCond_stroke</th>\n",
       "      <th>IPAnnualReimbursementAmt</th>\n",
       "      <th>IPAnnualDeductibleAmt</th>\n",
       "      <th>OPAnnualReimbursementAmt</th>\n",
       "      <th>OPAnnualDeductibleAmt</th>\n",
       "      <th>PotentialFraud</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BENE11001</td>\n",
       "      <td>CLM46614</td>\n",
       "      <td>2009-04-12</td>\n",
       "      <td>2009-04-18</td>\n",
       "      <td>PRV55912</td>\n",
       "      <td>26000</td>\n",
       "      <td>PHY390922</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2009-04-12</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>36000</td>\n",
       "      <td>3204</td>\n",
       "      <td>60</td>\n",
       "      <td>70</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BENE11001</td>\n",
       "      <td>CLM66048</td>\n",
       "      <td>2009-08-31</td>\n",
       "      <td>2009-09-02</td>\n",
       "      <td>PRV55907</td>\n",
       "      <td>5000</td>\n",
       "      <td>PHY318495</td>\n",
       "      <td>PHY318495</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2009-08-31</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>36000</td>\n",
       "      <td>3204</td>\n",
       "      <td>60</td>\n",
       "      <td>70</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BENE11001</td>\n",
       "      <td>CLM68358</td>\n",
       "      <td>2009-09-17</td>\n",
       "      <td>2009-09-20</td>\n",
       "      <td>PRV56046</td>\n",
       "      <td>5000</td>\n",
       "      <td>PHY372395</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PHY324689</td>\n",
       "      <td>2009-09-17</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>36000</td>\n",
       "      <td>3204</td>\n",
       "      <td>60</td>\n",
       "      <td>70</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BENE11011</td>\n",
       "      <td>CLM38412</td>\n",
       "      <td>2009-02-14</td>\n",
       "      <td>2009-02-22</td>\n",
       "      <td>PRV52405</td>\n",
       "      <td>5000</td>\n",
       "      <td>PHY369659</td>\n",
       "      <td>PHY392961</td>\n",
       "      <td>PHY349768</td>\n",
       "      <td>2009-02-14</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5000</td>\n",
       "      <td>1068</td>\n",
       "      <td>250</td>\n",
       "      <td>320</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BENE11014</td>\n",
       "      <td>CLM63689</td>\n",
       "      <td>2009-08-13</td>\n",
       "      <td>2009-08-30</td>\n",
       "      <td>PRV56614</td>\n",
       "      <td>10000</td>\n",
       "      <td>PHY379376</td>\n",
       "      <td>PHY398258</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2009-08-13</td>\n",
       "      <td>...</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>21260</td>\n",
       "      <td>2136</td>\n",
       "      <td>120</td>\n",
       "      <td>100</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <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>558206</th>\n",
       "      <td>BENE159198</td>\n",
       "      <td>CLM510792</td>\n",
       "      <td>2009-08-06</td>\n",
       "      <td>2009-08-06</td>\n",
       "      <td>PRV53699</td>\n",
       "      <td>800</td>\n",
       "      <td>PHY364188</td>\n",
       "      <td>PHY364188</td>\n",
       "      <td>PHY385752</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5470</td>\n",
       "      <td>1870</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558207</th>\n",
       "      <td>BENE159198</td>\n",
       "      <td>CLM551294</td>\n",
       "      <td>2009-08-29</td>\n",
       "      <td>2009-08-29</td>\n",
       "      <td>PRV53702</td>\n",
       "      <td>400</td>\n",
       "      <td>PHY423019</td>\n",
       "      <td>PHY332284</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5470</td>\n",
       "      <td>1870</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558208</th>\n",
       "      <td>BENE159198</td>\n",
       "      <td>CLM596444</td>\n",
       "      <td>2009-09-24</td>\n",
       "      <td>2009-09-24</td>\n",
       "      <td>PRV53676</td>\n",
       "      <td>60</td>\n",
       "      <td>PHY361063</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5470</td>\n",
       "      <td>1870</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558209</th>\n",
       "      <td>BENE159198</td>\n",
       "      <td>CLM636992</td>\n",
       "      <td>2009-10-18</td>\n",
       "      <td>2009-10-18</td>\n",
       "      <td>PRV53689</td>\n",
       "      <td>70</td>\n",
       "      <td>PHY403198</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PHY419379</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5470</td>\n",
       "      <td>1870</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558210</th>\n",
       "      <td>BENE159198</td>\n",
       "      <td>CLM686139</td>\n",
       "      <td>2009-11-17</td>\n",
       "      <td>2009-11-18</td>\n",
       "      <td>PRV53689</td>\n",
       "      <td>80</td>\n",
       "      <td>PHY419379</td>\n",
       "      <td>NaN</td>\n",
       "      <td>PHY419379</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5470</td>\n",
       "      <td>1870</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>558211 rows × 56 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            BeneID    ClaimID ClaimStartDt  ClaimEndDt  Provider  \\\n",
       "0        BENE11001   CLM46614   2009-04-12  2009-04-18  PRV55912   \n",
       "1        BENE11001   CLM66048   2009-08-31  2009-09-02  PRV55907   \n",
       "2        BENE11001   CLM68358   2009-09-17  2009-09-20  PRV56046   \n",
       "3        BENE11011   CLM38412   2009-02-14  2009-02-22  PRV52405   \n",
       "4        BENE11014   CLM63689   2009-08-13  2009-08-30  PRV56614   \n",
       "...            ...        ...          ...         ...       ...   \n",
       "558206  BENE159198  CLM510792   2009-08-06  2009-08-06  PRV53699   \n",
       "558207  BENE159198  CLM551294   2009-08-29  2009-08-29  PRV53702   \n",
       "558208  BENE159198  CLM596444   2009-09-24  2009-09-24  PRV53676   \n",
       "558209  BENE159198  CLM636992   2009-10-18  2009-10-18  PRV53689   \n",
       "558210  BENE159198  CLM686139   2009-11-17  2009-11-18  PRV53689   \n",
       "\n",
       "        InscClaimAmtReimbursed AttendingPhysician OperatingPhysician  \\\n",
       "0                        26000          PHY390922                NaN   \n",
       "1                         5000          PHY318495          PHY318495   \n",
       "2                         5000          PHY372395                NaN   \n",
       "3                         5000          PHY369659          PHY392961   \n",
       "4                        10000          PHY379376          PHY398258   \n",
       "...                        ...                ...                ...   \n",
       "558206                     800          PHY364188          PHY364188   \n",
       "558207                     400          PHY423019          PHY332284   \n",
       "558208                      60          PHY361063                NaN   \n",
       "558209                      70          PHY403198                NaN   \n",
       "558210                      80          PHY419379                NaN   \n",
       "\n",
       "       OtherPhysician AdmissionDt  ... ChronicCond_Diabetes  \\\n",
       "0                 NaN  2009-04-12  ...                    1   \n",
       "1                 NaN  2009-08-31  ...                    1   \n",
       "2           PHY324689  2009-09-17  ...                    1   \n",
       "3           PHY349768  2009-02-14  ...                    1   \n",
       "4                 NaN  2009-08-13  ...                    2   \n",
       "...               ...         ...  ...                  ...   \n",
       "558206      PHY385752         NaN  ...                    1   \n",
       "558207            NaN         NaN  ...                    1   \n",
       "558208            NaN         NaN  ...                    1   \n",
       "558209      PHY419379         NaN  ...                    1   \n",
       "558210      PHY419379         NaN  ...                    1   \n",
       "\n",
       "        ChronicCond_IschemicHeart ChronicCond_Osteoporasis  \\\n",
       "0                               1                        2   \n",
       "1                               1                        2   \n",
       "2                               1                        2   \n",
       "3                               2                        2   \n",
       "4                               1                        2   \n",
       "...                           ...                      ...   \n",
       "558206                          2                        2   \n",
       "558207                          2                        2   \n",
       "558208                          2                        2   \n",
       "558209                          2                        2   \n",
       "558210                          2                        2   \n",
       "\n",
       "       ChronicCond_rheumatoidarthritis ChronicCond_stroke  \\\n",
       "0                                    1                  1   \n",
       "1                                    1                  1   \n",
       "2                                    1                  1   \n",
       "3                                    1                  1   \n",
       "4                                    2                  2   \n",
       "...                                ...                ...   \n",
       "558206                               1                  2   \n",
       "558207                               1                  2   \n",
       "558208                               1                  2   \n",
       "558209                               1                  2   \n",
       "558210                               1                  2   \n",
       "\n",
       "       IPAnnualReimbursementAmt IPAnnualDeductibleAmt  \\\n",
       "0                         36000                  3204   \n",
       "1                         36000                  3204   \n",
       "2                         36000                  3204   \n",
       "3                          5000                  1068   \n",
       "4                         21260                  2136   \n",
       "...                         ...                   ...   \n",
       "558206                        0                     0   \n",
       "558207                        0                     0   \n",
       "558208                        0                     0   \n",
       "558209                        0                     0   \n",
       "558210                        0                     0   \n",
       "\n",
       "       OPAnnualReimbursementAmt OPAnnualDeductibleAmt PotentialFraud  \n",
       "0                            60                    70            Yes  \n",
       "1                            60                    70             No  \n",
       "2                            60                    70             No  \n",
       "3                           250                   320             No  \n",
       "4                           120                   100             No  \n",
       "...                         ...                   ...            ...  \n",
       "558206                     5470                  1870             No  \n",
       "558207                     5470                  1870             No  \n",
       "558208                     5470                  1870             No  \n",
       "558209                     5470                  1870             No  \n",
       "558210                     5470                  1870             No  \n",
       "\n",
       "[558211 rows x 56 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# union/concat the inpatient and outpatient data with provider and patient info\n",
    "concat_df=pd.concat([Healthcare_Inpatient_raw,Healthcare_Outpatient_raw],axis=0)\n",
    "\n",
    "\n",
    "merge_bene_df=concat_df.merge(Healthcare_Beneficiary_raw, on='BeneID', how='left')\n",
    "\n",
    "merge_provider_df=merge_bene_df.merge(Healthcare_Provider_raw, on = 'Provider', how ='left')\n",
    "merge_provider_df.drop_duplicates(inplace=True)\n",
    "merge_provider_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "40266500",
   "metadata": {},
   "outputs": [],
   "source": [
    "# DeductibleAmtPaid\t557312\t899\t17\tYang\t\t\t\tYes\tYes\tMean,Max\n",
    "# NoOfMonths_PartACov\t558211\t0\t13\tYang\t\t\t\t\t\tMean\n",
    "# NoOfMonths_PartBCov\t558211\t0\t13\tYang\t\t\t\t\t\tMean\n",
    "# OPAnnualReimbursementAmt\t558211\t0\t2078\tYang\t\t\t\t\t\tMean,Max,Sum\n",
    "# OPAnnualDeductibleAmt\t558211\t0\t789\tYang\t\t\t\t\t\tMean,Max,Sum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "51c41f9f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Provider</th>\n",
       "      <th>DeductibleAmtPaid</th>\n",
       "      <th>NoOfMonths_PartACov</th>\n",
       "      <th>NoOfMonths_PartBCov</th>\n",
       "      <th>OPAnnualReimbursementAmt</th>\n",
       "      <th>OPAnnualDeductibleAmt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PRV55912</td>\n",
       "      <td>1068.0</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>60</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PRV55907</td>\n",
       "      <td>1068.0</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>60</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PRV56046</td>\n",
       "      <td>1068.0</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>60</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PRV52405</td>\n",
       "      <td>1068.0</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>250</td>\n",
       "      <td>320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PRV56614</td>\n",
       "      <td>1068.0</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>120</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Provider  DeductibleAmtPaid  NoOfMonths_PartACov  NoOfMonths_PartBCov  \\\n",
       "0  PRV55912             1068.0                   12                   12   \n",
       "1  PRV55907             1068.0                   12                   12   \n",
       "2  PRV56046             1068.0                   12                   12   \n",
       "3  PRV52405             1068.0                   12                   12   \n",
       "4  PRV56614             1068.0                   12                   12   \n",
       "\n",
       "   OPAnnualReimbursementAmt  OPAnnualDeductibleAmt  \n",
       "0                        60                     70  \n",
       "1                        60                     70  \n",
       "2                        60                     70  \n",
       "3                       250                    320  \n",
       "4                       120                    100  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agg_ys_list=['Provider','DeductibleAmtPaid','NoOfMonths_PartACov',\n",
    "             'NoOfMonths_PartBCov','OPAnnualReimbursementAmt', 'OPAnnualDeductibleAmt']\n",
    "merge_provider_df[agg_ys_list].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "80359476",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">DeductibleAmtPaid</th>\n",
       "      <th>NoOfMonths_PartACov</th>\n",
       "      <th>NoOfMonths_PartBCov</th>\n",
       "      <th colspan=\"3\" halign=\"left\">OPAnnualReimbursementAmt</th>\n",
       "      <th colspan=\"3\" halign=\"left\">OPAnnualDeductibleAmt</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>max</th>\n",
       "      <th>mean</th>\n",
       "      <th>mean</th>\n",
       "      <th>mean</th>\n",
       "      <th>max</th>\n",
       "      <th>sum</th>\n",
       "      <th>mean</th>\n",
       "      <th>max</th>\n",
       "      <th>sum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Provider</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>PRV51001</th>\n",
       "      <td>213.600000</td>\n",
       "      <td>1068.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2615.200000</td>\n",
       "      <td>13460</td>\n",
       "      <td>65380</td>\n",
       "      <td>463.920000</td>\n",
       "      <td>2700</td>\n",
       "      <td>11598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRV51003</th>\n",
       "      <td>502.166667</td>\n",
       "      <td>1068.0</td>\n",
       "      <td>11.818182</td>\n",
       "      <td>11.871212</td>\n",
       "      <td>2678.181818</td>\n",
       "      <td>31880</td>\n",
       "      <td>353520</td>\n",
       "      <td>737.121212</td>\n",
       "      <td>9950</td>\n",
       "      <td>97300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRV51004</th>\n",
       "      <td>2.080537</td>\n",
       "      <td>100.0</td>\n",
       "      <td>11.865772</td>\n",
       "      <td>11.959732</td>\n",
       "      <td>2194.899329</td>\n",
       "      <td>20900</td>\n",
       "      <td>327040</td>\n",
       "      <td>622.751678</td>\n",
       "      <td>7410</td>\n",
       "      <td>92790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRV51005</th>\n",
       "      <td>3.175966</td>\n",
       "      <td>200.0</td>\n",
       "      <td>11.907296</td>\n",
       "      <td>11.939914</td>\n",
       "      <td>2109.733906</td>\n",
       "      <td>97510</td>\n",
       "      <td>2457840</td>\n",
       "      <td>636.328755</td>\n",
       "      <td>6330</td>\n",
       "      <td>741323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRV51007</th>\n",
       "      <td>45.333333</td>\n",
       "      <td>1068.0</td>\n",
       "      <td>11.833333</td>\n",
       "      <td>11.833333</td>\n",
       "      <td>1729.722222</td>\n",
       "      <td>6060</td>\n",
       "      <td>124540</td>\n",
       "      <td>469.722222</td>\n",
       "      <td>1970</td>\n",
       "      <td>33820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRV57759</th>\n",
       "      <td>4.642857</td>\n",
       "      <td>90.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>3241.785714</td>\n",
       "      <td>14650</td>\n",
       "      <td>90770</td>\n",
       "      <td>886.785714</td>\n",
       "      <td>2810</td>\n",
       "      <td>24830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRV57760</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>11.727273</td>\n",
       "      <td>1492.727273</td>\n",
       "      <td>4980</td>\n",
       "      <td>32840</td>\n",
       "      <td>805.454545</td>\n",
       "      <td>2930</td>\n",
       "      <td>17720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRV57761</th>\n",
       "      <td>4.512195</td>\n",
       "      <td>90.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2928.414634</td>\n",
       "      <td>25090</td>\n",
       "      <td>240130</td>\n",
       "      <td>707.317073</td>\n",
       "      <td>4940</td>\n",
       "      <td>58000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRV57762</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2540.000000</td>\n",
       "      <td>2540</td>\n",
       "      <td>2540</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRV57763</th>\n",
       "      <td>3.305085</td>\n",
       "      <td>100.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>3108.898305</td>\n",
       "      <td>30430</td>\n",
       "      <td>366850</td>\n",
       "      <td>803.305085</td>\n",
       "      <td>5860</td>\n",
       "      <td>94790</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5410 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         DeductibleAmtPaid         NoOfMonths_PartACov NoOfMonths_PartBCov  \\\n",
       "                      mean     max                mean                mean   \n",
       "Provider                                                                     \n",
       "PRV51001        213.600000  1068.0           12.000000           12.000000   \n",
       "PRV51003        502.166667  1068.0           11.818182           11.871212   \n",
       "PRV51004          2.080537   100.0           11.865772           11.959732   \n",
       "PRV51005          3.175966   200.0           11.907296           11.939914   \n",
       "PRV51007         45.333333  1068.0           11.833333           11.833333   \n",
       "...                    ...     ...                 ...                 ...   \n",
       "PRV57759          4.642857    90.0           12.000000           12.000000   \n",
       "PRV57760          0.000000     0.0           12.000000           11.727273   \n",
       "PRV57761          4.512195    90.0           12.000000           12.000000   \n",
       "PRV57762          0.000000     0.0           12.000000           12.000000   \n",
       "PRV57763          3.305085   100.0           12.000000           12.000000   \n",
       "\n",
       "         OPAnnualReimbursementAmt                 OPAnnualDeductibleAmt        \\\n",
       "                             mean    max      sum                  mean   max   \n",
       "Provider                                                                        \n",
       "PRV51001              2615.200000  13460    65380            463.920000  2700   \n",
       "PRV51003              2678.181818  31880   353520            737.121212  9950   \n",
       "PRV51004              2194.899329  20900   327040            622.751678  7410   \n",
       "PRV51005              2109.733906  97510  2457840            636.328755  6330   \n",
       "PRV51007              1729.722222   6060   124540            469.722222  1970   \n",
       "...                           ...    ...      ...                   ...   ...   \n",
       "PRV57759              3241.785714  14650    90770            886.785714  2810   \n",
       "PRV57760              1492.727273   4980    32840            805.454545  2930   \n",
       "PRV57761              2928.414634  25090   240130            707.317073  4940   \n",
       "PRV57762              2540.000000   2540     2540            400.000000   400   \n",
       "PRV57763              3108.898305  30430   366850            803.305085  5860   \n",
       "\n",
       "                  \n",
       "             sum  \n",
       "Provider          \n",
       "PRV51001   11598  \n",
       "PRV51003   97300  \n",
       "PRV51004   92790  \n",
       "PRV51005  741323  \n",
       "PRV51007   33820  \n",
       "...          ...  \n",
       "PRV57759   24830  \n",
       "PRV57760   17720  \n",
       "PRV57761   58000  \n",
       "PRV57762     400  \n",
       "PRV57763   94790  \n",
       "\n",
       "[5410 rows x 10 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ys_grouped=merge_provider_df.groupby('Provider').agg({'DeductibleAmtPaid':['mean','max'],\n",
    "                                                         'NoOfMonths_PartACov':'mean',\n",
    "                                                         'NoOfMonths_PartBCov':'mean',\n",
    "                                                         'OPAnnualReimbursementAmt':['mean','max','sum'],\n",
    "                                                         'OPAnnualDeductibleAmt':['mean','max','sum']\n",
    "                                                        })\n",
    "df_ys_grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f43cc08c",
   "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>Provider</th>\n",
       "      <th>PotentialFraud</th>\n",
       "      <th>DeductibleAmtPaid_mean</th>\n",
       "      <th>DeductibleAmtPaid_max</th>\n",
       "      <th>NoOfMonths_PartACov_mean</th>\n",
       "      <th>NoOfMonths_PartBCov_mean</th>\n",
       "      <th>OPAnnualReimbursementAmt_mean</th>\n",
       "      <th>OPAnnualReimbursementAmt_max</th>\n",
       "      <th>OPAnnualReimbursementAmt_sum</th>\n",
       "      <th>OPAnnualDeductibleAmt_mean</th>\n",
       "      <th>OPAnnualDeductibleAmt_max</th>\n",
       "      <th>OPAnnualDeductibleAmt_sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PRV51001</td>\n",
       "      <td>No</td>\n",
       "      <td>213.600000</td>\n",
       "      <td>1068.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2615.200000</td>\n",
       "      <td>13460</td>\n",
       "      <td>65380</td>\n",
       "      <td>463.920000</td>\n",
       "      <td>2700</td>\n",
       "      <td>11598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PRV51003</td>\n",
       "      <td>Yes</td>\n",
       "      <td>502.166667</td>\n",
       "      <td>1068.0</td>\n",
       "      <td>11.818182</td>\n",
       "      <td>11.871212</td>\n",
       "      <td>2678.181818</td>\n",
       "      <td>31880</td>\n",
       "      <td>353520</td>\n",
       "      <td>737.121212</td>\n",
       "      <td>9950</td>\n",
       "      <td>97300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PRV51004</td>\n",
       "      <td>No</td>\n",
       "      <td>2.080537</td>\n",
       "      <td>100.0</td>\n",
       "      <td>11.865772</td>\n",
       "      <td>11.959732</td>\n",
       "      <td>2194.899329</td>\n",
       "      <td>20900</td>\n",
       "      <td>327040</td>\n",
       "      <td>622.751678</td>\n",
       "      <td>7410</td>\n",
       "      <td>92790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PRV51005</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3.175966</td>\n",
       "      <td>200.0</td>\n",
       "      <td>11.907296</td>\n",
       "      <td>11.939914</td>\n",
       "      <td>2109.733906</td>\n",
       "      <td>97510</td>\n",
       "      <td>2457840</td>\n",
       "      <td>636.328755</td>\n",
       "      <td>6330</td>\n",
       "      <td>741323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PRV51007</td>\n",
       "      <td>No</td>\n",
       "      <td>45.333333</td>\n",
       "      <td>1068.0</td>\n",
       "      <td>11.833333</td>\n",
       "      <td>11.833333</td>\n",
       "      <td>1729.722222</td>\n",
       "      <td>6060</td>\n",
       "      <td>124540</td>\n",
       "      <td>469.722222</td>\n",
       "      <td>1970</td>\n",
       "      <td>33820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5405</th>\n",
       "      <td>PRV57759</td>\n",
       "      <td>No</td>\n",
       "      <td>4.642857</td>\n",
       "      <td>90.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>3241.785714</td>\n",
       "      <td>14650</td>\n",
       "      <td>90770</td>\n",
       "      <td>886.785714</td>\n",
       "      <td>2810</td>\n",
       "      <td>24830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5406</th>\n",
       "      <td>PRV57760</td>\n",
       "      <td>No</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>11.727273</td>\n",
       "      <td>1492.727273</td>\n",
       "      <td>4980</td>\n",
       "      <td>32840</td>\n",
       "      <td>805.454545</td>\n",
       "      <td>2930</td>\n",
       "      <td>17720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5407</th>\n",
       "      <td>PRV57761</td>\n",
       "      <td>No</td>\n",
       "      <td>4.512195</td>\n",
       "      <td>90.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2928.414634</td>\n",
       "      <td>25090</td>\n",
       "      <td>240130</td>\n",
       "      <td>707.317073</td>\n",
       "      <td>4940</td>\n",
       "      <td>58000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5408</th>\n",
       "      <td>PRV57762</td>\n",
       "      <td>No</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>2540.000000</td>\n",
       "      <td>2540</td>\n",
       "      <td>2540</td>\n",
       "      <td>400.000000</td>\n",
       "      <td>400</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5409</th>\n",
       "      <td>PRV57763</td>\n",
       "      <td>No</td>\n",
       "      <td>3.305085</td>\n",
       "      <td>100.0</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>3108.898305</td>\n",
       "      <td>30430</td>\n",
       "      <td>366850</td>\n",
       "      <td>803.305085</td>\n",
       "      <td>5860</td>\n",
       "      <td>94790</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5410 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Provider PotentialFraud  DeductibleAmtPaid_mean  DeductibleAmtPaid_max  \\\n",
       "0     PRV51001             No              213.600000                 1068.0   \n",
       "1     PRV51003            Yes              502.166667                 1068.0   \n",
       "2     PRV51004             No                2.080537                  100.0   \n",
       "3     PRV51005            Yes                3.175966                  200.0   \n",
       "4     PRV51007             No               45.333333                 1068.0   \n",
       "...        ...            ...                     ...                    ...   \n",
       "5405  PRV57759             No                4.642857                   90.0   \n",
       "5406  PRV57760             No                0.000000                    0.0   \n",
       "5407  PRV57761             No                4.512195                   90.0   \n",
       "5408  PRV57762             No                0.000000                    0.0   \n",
       "5409  PRV57763             No                3.305085                  100.0   \n",
       "\n",
       "      NoOfMonths_PartACov_mean  NoOfMonths_PartBCov_mean  \\\n",
       "0                    12.000000                 12.000000   \n",
       "1                    11.818182                 11.871212   \n",
       "2                    11.865772                 11.959732   \n",
       "3                    11.907296                 11.939914   \n",
       "4                    11.833333                 11.833333   \n",
       "...                        ...                       ...   \n",
       "5405                 12.000000                 12.000000   \n",
       "5406                 12.000000                 11.727273   \n",
       "5407                 12.000000                 12.000000   \n",
       "5408                 12.000000                 12.000000   \n",
       "5409                 12.000000                 12.000000   \n",
       "\n",
       "      OPAnnualReimbursementAmt_mean  OPAnnualReimbursementAmt_max  \\\n",
       "0                       2615.200000                         13460   \n",
       "1                       2678.181818                         31880   \n",
       "2                       2194.899329                         20900   \n",
       "3                       2109.733906                         97510   \n",
       "4                       1729.722222                          6060   \n",
       "...                             ...                           ...   \n",
       "5405                    3241.785714                         14650   \n",
       "5406                    1492.727273                          4980   \n",
       "5407                    2928.414634                         25090   \n",
       "5408                    2540.000000                          2540   \n",
       "5409                    3108.898305                         30430   \n",
       "\n",
       "      OPAnnualReimbursementAmt_sum  OPAnnualDeductibleAmt_mean  \\\n",
       "0                            65380                  463.920000   \n",
       "1                           353520                  737.121212   \n",
       "2                           327040                  622.751678   \n",
       "3                          2457840                  636.328755   \n",
       "4                           124540                  469.722222   \n",
       "...                            ...                         ...   \n",
       "5405                         90770                  886.785714   \n",
       "5406                         32840                  805.454545   \n",
       "5407                        240130                  707.317073   \n",
       "5408                          2540                  400.000000   \n",
       "5409                        366850                  803.305085   \n",
       "\n",
       "      OPAnnualDeductibleAmt_max  OPAnnualDeductibleAmt_sum  \n",
       "0                          2700                      11598  \n",
       "1                          9950                      97300  \n",
       "2                          7410                      92790  \n",
       "3                          6330                     741323  \n",
       "4                          1970                      33820  \n",
       "...                         ...                        ...  \n",
       "5405                       2810                      24830  \n",
       "5406                       2930                      17720  \n",
       "5407                       4940                      58000  \n",
       "5408                        400                        400  \n",
       "5409                       5860                      94790  \n",
       "\n",
       "[5410 rows x 12 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "provider_ys_df=Healthcare_Provider_raw.copy()\n",
    "\n",
    "for group_colnam in df_ys_grouped.columns:\n",
    "    provider_ys_df[group_colnam[0]+'_'+group_colnam[1]]=df_ys_grouped[group_colnam].values\n",
    "    \n",
    "provider_ys_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5ed42a8e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "uncomment the above code to output to csv\n"
     ]
    }
   ],
   "source": [
    "# provider_ys_df.to_csv('output/provider_ys_agg.csv',index=False)\n",
    "print(\"uncomment the above code to output to csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "e47b336b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 960x720 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# log y hist\n",
    "\n",
    "fig = plt.figure(figsize=(16,12),dpi=60)\n",
    "\n",
    "for i in range(2,len(provider_ys_df.columns)):\n",
    "# for i in range(len(provider_ys_df[num_col_list].columns)):\n",
    "    plt.subplot(3,4,i-1)\n",
    "    plt.hist(provider_ys_df.loc[provider_ys_df['PotentialFraud']=='No'].iloc[:,i:i+1].dropna().values,\n",
    "             alpha=0.7,color='gray',label='Normal')\n",
    "    plt.hist(provider_ys_df.loc[provider_ys_df['PotentialFraud']=='Yes'].iloc[:,i:i+1].dropna().values,\n",
    "             alpha=0.7,color='red',label='Fraud')\n",
    "    plt.title(provider_ys_df.columns[i])\n",
    "    plt.yscale('log')\n",
    "    plt.legend(loc=\"upper right\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e81caa44",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 960x720 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(16,12),dpi=60)\n",
    "\n",
    "for i in range(2,len(provider_ys_df.columns)):\n",
    "# for i in range(len(provider_ys_df[num_col_list].columns)):\n",
    "    plt.subplot(3,4,i-1)\n",
    "    plt.hist(provider_ys_df.loc[provider_ys_df['PotentialFraud']=='No'].iloc[:,i:i+1].dropna().values,\n",
    "             alpha=0.7,color='cadetblue',label='Normal')\n",
    "    plt.hist(provider_ys_df.loc[provider_ys_df['PotentialFraud']=='Yes'].iloc[:,i:i+1].dropna().values,\n",
    "             alpha=0.7,color='orange',label='Fraud')\n",
    "    plt.title(provider_ys_df.columns[i])\n",
    "    plt.legend(loc=\"upper right\")\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}