2020GeneralPaymentData.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8a3f6a8c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# Ignore Warning Code\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "5b4658ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "file_path = \"/Users/igmark/Desktop/DS4A_Data/2020GeneralPaymentData.csv\"\n",
    "df = pd.read_csv(file_path, nrows=10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "84c61234",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Change_Type</th>\n",
       "      <th>Covered_Recipient_Type</th>\n",
       "      <th>Teaching_Hospital_CCN</th>\n",
       "      <th>Teaching_Hospital_ID</th>\n",
       "      <th>Teaching_Hospital_Name</th>\n",
       "      <th>Covered_Recipient_Profile_ID</th>\n",
       "      <th>Covered_Recipient_NPI</th>\n",
       "      <th>Covered_Recipient_First_Name</th>\n",
       "      <th>Covered_Recipient_Middle_Name</th>\n",
       "      <th>Covered_Recipient_Last_Name</th>\n",
       "      <th>...</th>\n",
       "      <th>Associated_Drug_or_Biological_NDC_4</th>\n",
       "      <th>Associated_Device_or_Medical_Supply_PDI_4</th>\n",
       "      <th>Covered_or_Noncovered_Indicator_5</th>\n",
       "      <th>Indicate_Drug_or_Biological_or_Device_or_Medical_Supply_5</th>\n",
       "      <th>Product_Category_or_Therapeutic_Area_5</th>\n",
       "      <th>Name_of_Drug_or_Biological_or_Device_or_Medical_Supply_5</th>\n",
       "      <th>Associated_Drug_or_Biological_NDC_5</th>\n",
       "      <th>Associated_Device_or_Medical_Supply_PDI_5</th>\n",
       "      <th>Program_Year</th>\n",
       "      <th>Payment_Publication_Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>557946.0</td>\n",
       "      <td>1.841302e+09</td>\n",
       "      <td>Vikas</td>\n",
       "      <td>Kumar</td>\n",
       "      <td>Pilly</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>276936.0</td>\n",
       "      <td>1.093896e+09</td>\n",
       "      <td>Matthew</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Hall</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1275463.0</td>\n",
       "      <td>1.154534e+09</td>\n",
       "      <td>Stephen</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Campbell</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>268352.0</td>\n",
       "      <td>1.902872e+09</td>\n",
       "      <td>Leroy</td>\n",
       "      <td>Pearce</td>\n",
       "      <td>McCarty</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>904225.0</td>\n",
       "      <td>1.003949e+09</td>\n",
       "      <td>Michael</td>\n",
       "      <td>John</td>\n",
       "      <td>Latza</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <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",
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       "      <th>9995</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>769070.0</td>\n",
       "      <td>1.245407e+09</td>\n",
       "      <td>BRENDA</td>\n",
       "      <td>R</td>\n",
       "      <td>HUGHES</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9996</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10071.0</td>\n",
       "      <td>1.235106e+09</td>\n",
       "      <td>NANCI</td>\n",
       "      <td>JAYNE</td>\n",
       "      <td>BUCY</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9997</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>290972.0</td>\n",
       "      <td>1.407850e+09</td>\n",
       "      <td>DONALD</td>\n",
       "      <td>ALFRED</td>\n",
       "      <td>SAVITZ</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9998</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>125401.0</td>\n",
       "      <td>1.770718e+09</td>\n",
       "      <td>ADRIAN</td>\n",
       "      <td>TOMAS</td>\n",
       "      <td>MARIMON</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9999</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1289294.0</td>\n",
       "      <td>1.821064e+09</td>\n",
       "      <td>WILLIAM</td>\n",
       "      <td>N</td>\n",
       "      <td>LANDRY</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10000 rows × 91 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Change_Type       Covered_Recipient_Type  Teaching_Hospital_CCN  \\\n",
       "0      UNCHANGED  Covered Recipient Physician                    NaN   \n",
       "1      UNCHANGED  Covered Recipient Physician                    NaN   \n",
       "2      UNCHANGED  Covered Recipient Physician                    NaN   \n",
       "3      UNCHANGED  Covered Recipient Physician                    NaN   \n",
       "4      UNCHANGED  Covered Recipient Physician                    NaN   \n",
       "...          ...                          ...                    ...   \n",
       "9995   UNCHANGED  Covered Recipient Physician                    NaN   \n",
       "9996   UNCHANGED  Covered Recipient Physician                    NaN   \n",
       "9997   UNCHANGED  Covered Recipient Physician                    NaN   \n",
       "9998   UNCHANGED  Covered Recipient Physician                    NaN   \n",
       "9999   UNCHANGED  Covered Recipient Physician                    NaN   \n",
       "\n",
       "      Teaching_Hospital_ID Teaching_Hospital_Name  \\\n",
       "0                      NaN                    NaN   \n",
       "1                      NaN                    NaN   \n",
       "2                      NaN                    NaN   \n",
       "3                      NaN                    NaN   \n",
       "4                      NaN                    NaN   \n",
       "...                    ...                    ...   \n",
       "9995                   NaN                    NaN   \n",
       "9996                   NaN                    NaN   \n",
       "9997                   NaN                    NaN   \n",
       "9998                   NaN                    NaN   \n",
       "9999                   NaN                    NaN   \n",
       "\n",
       "      Covered_Recipient_Profile_ID  Covered_Recipient_NPI  \\\n",
       "0                         557946.0           1.841302e+09   \n",
       "1                         276936.0           1.093896e+09   \n",
       "2                        1275463.0           1.154534e+09   \n",
       "3                         268352.0           1.902872e+09   \n",
       "4                         904225.0           1.003949e+09   \n",
       "...                            ...                    ...   \n",
       "9995                      769070.0           1.245407e+09   \n",
       "9996                       10071.0           1.235106e+09   \n",
       "9997                      290972.0           1.407850e+09   \n",
       "9998                      125401.0           1.770718e+09   \n",
       "9999                     1289294.0           1.821064e+09   \n",
       "\n",
       "     Covered_Recipient_First_Name Covered_Recipient_Middle_Name  \\\n",
       "0                           Vikas                         Kumar   \n",
       "1                         Matthew                           NaN   \n",
       "2                         Stephen                           NaN   \n",
       "3                           Leroy                        Pearce   \n",
       "4                         Michael                          John   \n",
       "...                           ...                           ...   \n",
       "9995                       BRENDA                             R   \n",
       "9996                        NANCI                         JAYNE   \n",
       "9997                       DONALD                        ALFRED   \n",
       "9998                       ADRIAN                         TOMAS   \n",
       "9999                      WILLIAM                             N   \n",
       "\n",
       "     Covered_Recipient_Last_Name  ... Associated_Drug_or_Biological_NDC_4  \\\n",
       "0                          Pilly  ...                                 NaN   \n",
       "1                           Hall  ...                                 NaN   \n",
       "2                       Campbell  ...                                 NaN   \n",
       "3                        McCarty  ...                                 NaN   \n",
       "4                          Latza  ...                                 NaN   \n",
       "...                          ...  ...                                 ...   \n",
       "9995                      HUGHES  ...                                 NaN   \n",
       "9996                        BUCY  ...                                 NaN   \n",
       "9997                      SAVITZ  ...                                 NaN   \n",
       "9998                     MARIMON  ...                                 NaN   \n",
       "9999                      LANDRY  ...                                 NaN   \n",
       "\n",
       "     Associated_Device_or_Medical_Supply_PDI_4  \\\n",
       "0                                          NaN   \n",
       "1                                          NaN   \n",
       "2                                          NaN   \n",
       "3                                          NaN   \n",
       "4                                          NaN   \n",
       "...                                        ...   \n",
       "9995                                       NaN   \n",
       "9996                                       NaN   \n",
       "9997                                       NaN   \n",
       "9998                                       NaN   \n",
       "9999                                       NaN   \n",
       "\n",
       "     Covered_or_Noncovered_Indicator_5  \\\n",
       "0                                  NaN   \n",
       "1                                  NaN   \n",
       "2                                  NaN   \n",
       "3                                  NaN   \n",
       "4                                  NaN   \n",
       "...                                ...   \n",
       "9995                               NaN   \n",
       "9996                               NaN   \n",
       "9997                               NaN   \n",
       "9998                               NaN   \n",
       "9999                               NaN   \n",
       "\n",
       "     Indicate_Drug_or_Biological_or_Device_or_Medical_Supply_5  \\\n",
       "0                                                   NaN          \n",
       "1                                                   NaN          \n",
       "2                                                   NaN          \n",
       "3                                                   NaN          \n",
       "4                                                   NaN          \n",
       "...                                                 ...          \n",
       "9995                                                NaN          \n",
       "9996                                                NaN          \n",
       "9997                                                NaN          \n",
       "9998                                                NaN          \n",
       "9999                                                NaN          \n",
       "\n",
       "     Product_Category_or_Therapeutic_Area_5  \\\n",
       "0                                       NaN   \n",
       "1                                       NaN   \n",
       "2                                       NaN   \n",
       "3                                       NaN   \n",
       "4                                       NaN   \n",
       "...                                     ...   \n",
       "9995                                    NaN   \n",
       "9996                                    NaN   \n",
       "9997                                    NaN   \n",
       "9998                                    NaN   \n",
       "9999                                    NaN   \n",
       "\n",
       "     Name_of_Drug_or_Biological_or_Device_or_Medical_Supply_5  \\\n",
       "0                                                   NaN         \n",
       "1                                                   NaN         \n",
       "2                                                   NaN         \n",
       "3                                                   NaN         \n",
       "4                                                   NaN         \n",
       "...                                                 ...         \n",
       "9995                                                NaN         \n",
       "9996                                                NaN         \n",
       "9997                                                NaN         \n",
       "9998                                                NaN         \n",
       "9999                                                NaN         \n",
       "\n",
       "     Associated_Drug_or_Biological_NDC_5  \\\n",
       "0                                    NaN   \n",
       "1                                    NaN   \n",
       "2                                    NaN   \n",
       "3                                    NaN   \n",
       "4                                    NaN   \n",
       "...                                  ...   \n",
       "9995                                 NaN   \n",
       "9996                                 NaN   \n",
       "9997                                 NaN   \n",
       "9998                                 NaN   \n",
       "9999                                 NaN   \n",
       "\n",
       "      Associated_Device_or_Medical_Supply_PDI_5  Program_Year  \\\n",
       "0                                           NaN          2020   \n",
       "1                                           NaN          2020   \n",
       "2                                           NaN          2020   \n",
       "3                                           NaN          2020   \n",
       "4                                           NaN          2020   \n",
       "...                                         ...           ...   \n",
       "9995                                        NaN          2020   \n",
       "9996                                        NaN          2020   \n",
       "9997                                        NaN          2020   \n",
       "9998                                        NaN          2020   \n",
       "9999                                        NaN          2020   \n",
       "\n",
       "     Payment_Publication_Date  \n",
       "0                  01/20/2023  \n",
       "1                  01/20/2023  \n",
       "2                  01/20/2023  \n",
       "3                  01/20/2023  \n",
       "4                  01/20/2023  \n",
       "...                       ...  \n",
       "9995               01/20/2023  \n",
       "9996               01/20/2023  \n",
       "9997               01/20/2023  \n",
       "9998               01/20/2023  \n",
       "9999               01/20/2023  \n",
       "\n",
       "[10000 rows x 91 columns]"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "6e1d071a",
   "metadata": {
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10000 entries, 0 to 9999\n",
      "Data columns (total 91 columns):\n",
      " #   Column                                                             Non-Null Count  Dtype  \n",
      "---  ------                                                             --------------  -----  \n",
      " 0   Change_Type                                                        10000 non-null  object \n",
      " 1   Covered_Recipient_Type                                             10000 non-null  object \n",
      " 2   Teaching_Hospital_CCN                                              40 non-null     float64\n",
      " 3   Teaching_Hospital_ID                                               40 non-null     float64\n",
      " 4   Teaching_Hospital_Name                                             40 non-null     object \n",
      " 5   Covered_Recipient_Profile_ID                                       9960 non-null   float64\n",
      " 6   Covered_Recipient_NPI                                              9960 non-null   float64\n",
      " 7   Covered_Recipient_First_Name                                       9960 non-null   object \n",
      " 8   Covered_Recipient_Middle_Name                                      4617 non-null   object \n",
      " 9   Covered_Recipient_Last_Name                                        9959 non-null   object \n",
      " 10  Covered_Recipient_Name_Suffix                                      176 non-null    object \n",
      " 11  Recipient_Primary_Business_Street_Address_Line1                    10000 non-null  object \n",
      " 12  Recipient_Primary_Business_Street_Address_Line2                    2654 non-null   object \n",
      " 13  Recipient_City                                                     10000 non-null  object \n",
      " 14  Recipient_State                                                    10000 non-null  object \n",
      " 15  Recipient_Zip_Code                                                 10000 non-null  object \n",
      " 16  Recipient_Country                                                  10000 non-null  object \n",
      " 17  Recipient_Province                                                 0 non-null      float64\n",
      " 18  Recipient_Postal_Code                                              0 non-null      float64\n",
      " 19  Covered_Recipient_Primary_Type_1                                   9960 non-null   object \n",
      " 20  Covered_Recipient_Primary_Type_2                                   0 non-null      float64\n",
      " 21  Covered_Recipient_Primary_Type_3                                   0 non-null      float64\n",
      " 22  Covered_Recipient_Primary_Type_4                                   0 non-null      float64\n",
      " 23  Covered_Recipient_Primary_Type_5                                   0 non-null      float64\n",
      " 24  Covered_Recipient_Primary_Type_6                                   0 non-null      float64\n",
      " 25  Covered_Recipient_Specialty_1                                      9956 non-null   object \n",
      " 26  Covered_Recipient_Specialty_2                                      0 non-null      float64\n",
      " 27  Covered_Recipient_Specialty_3                                      0 non-null      float64\n",
      " 28  Covered_Recipient_Specialty_4                                      0 non-null      float64\n",
      " 29  Covered_Recipient_Specialty_5                                      0 non-null      float64\n",
      " 30  Covered_Recipient_Specialty_6                                      0 non-null      float64\n",
      " 31  Covered_Recipient_License_State_code1                              9960 non-null   object \n",
      " 32  Covered_Recipient_License_State_code2                              230 non-null    object \n",
      " 33  Covered_Recipient_License_State_code3                              58 non-null     object \n",
      " 34  Covered_Recipient_License_State_code4                              9 non-null      object \n",
      " 35  Covered_Recipient_License_State_code5                              0 non-null      float64\n",
      " 36  Submitting_Applicable_Manufacturer_or_Applicable_GPO_Name          10000 non-null  object \n",
      " 37  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_ID        10000 non-null  int64  \n",
      " 38  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Name      10000 non-null  object \n",
      " 39  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_State     9967 non-null   object \n",
      " 40  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Country   10000 non-null  object \n",
      " 41  Total_Amount_of_Payment_USDollars                                  10000 non-null  float64\n",
      " 42  Date_of_Payment                                                    10000 non-null  object \n",
      " 43  Number_of_Payments_Included_in_Total_Amount                        10000 non-null  int64  \n",
      " 44  Form_of_Payment_or_Transfer_of_Value                               10000 non-null  object \n",
      " 45  Nature_of_Payment_or_Transfer_of_Value                             10000 non-null  object \n",
      " 46  City_of_Travel                                                     518 non-null    object \n",
      " 47  State_of_Travel                                                    507 non-null    object \n",
      " 48  Country_of_Travel                                                  518 non-null    object \n",
      " 49  Physician_Ownership_Indicator                                      9960 non-null   object \n",
      " 50  Third_Party_Payment_Recipient_Indicator                            10000 non-null  object \n",
      " 51  Name_of_Third_Party_Entity_Receiving_Payment_or_Transfer_of_Value  105 non-null    object \n",
      " 52  Charity_Indicator                                                  3548 non-null   object \n",
      " 53  Third_Party_Equals_Covered_Recipient_Indicator                     127 non-null    object \n",
      " 54  Contextual_Information                                             64 non-null     object \n",
      " 55  Delay_in_Publication_Indicator                                     10000 non-null  object \n",
      " 56  Record_ID                                                          10000 non-null  int64  \n",
      " 57  Dispute_Status_for_Publication                                     10000 non-null  object \n",
      " 58  Related_Product_Indicator                                          10000 non-null  object \n",
      " 59  Covered_or_Noncovered_Indicator_1                                  7466 non-null   object \n",
      " 60  Indicate_Drug_or_Biological_or_Device_or_Medical_Supply_1          7466 non-null   object \n",
      " 61  Product_Category_or_Therapeutic_Area_1                             7354 non-null   object \n",
      " 62  Name_of_Drug_or_Biological_or_Device_or_Medical_Supply_1           7381 non-null   object \n",
      " 63  Associated_Drug_or_Biological_NDC_1                                1734 non-null   object \n",
      " 64  Associated_Device_or_Medical_Supply_PDI_1                          0 non-null      float64\n",
      " 65  Covered_or_Noncovered_Indicator_2                                  329 non-null    object \n",
      " 66  Indicate_Drug_or_Biological_or_Device_or_Medical_Supply_2          329 non-null    object \n",
      " 67  Product_Category_or_Therapeutic_Area_2                             329 non-null    object \n",
      " 68  Name_of_Drug_or_Biological_or_Device_or_Medical_Supply_2           312 non-null    object \n",
      " 69  Associated_Drug_or_Biological_NDC_2                                0 non-null      float64\n",
      " 70  Associated_Device_or_Medical_Supply_PDI_2                          0 non-null      float64\n",
      " 71  Covered_or_Noncovered_Indicator_3                                  221 non-null    object \n",
      " 72  Indicate_Drug_or_Biological_or_Device_or_Medical_Supply_3          221 non-null    object \n",
      " 73  Product_Category_or_Therapeutic_Area_3                             221 non-null    object \n",
      " 74  Name_of_Drug_or_Biological_or_Device_or_Medical_Supply_3           221 non-null    object \n",
      " 75  Associated_Drug_or_Biological_NDC_3                                0 non-null      float64\n",
      " 76  Associated_Device_or_Medical_Supply_PDI_3                          0 non-null      float64\n",
      " 77  Covered_or_Noncovered_Indicator_4                                  215 non-null    object \n",
      " 78  Indicate_Drug_or_Biological_or_Device_or_Medical_Supply_4          215 non-null    object \n",
      " 79  Product_Category_or_Therapeutic_Area_4                             215 non-null    object \n",
      " 80  Name_of_Drug_or_Biological_or_Device_or_Medical_Supply_4           215 non-null    object \n",
      " 81  Associated_Drug_or_Biological_NDC_4                                0 non-null      float64\n",
      " 82  Associated_Device_or_Medical_Supply_PDI_4                          0 non-null      float64\n",
      " 83  Covered_or_Noncovered_Indicator_5                                  214 non-null    object \n",
      " 84  Indicate_Drug_or_Biological_or_Device_or_Medical_Supply_5          214 non-null    object \n",
      " 85  Product_Category_or_Therapeutic_Area_5                             214 non-null    object \n",
      " 86  Name_of_Drug_or_Biological_or_Device_or_Medical_Supply_5           214 non-null    object \n",
      " 87  Associated_Drug_or_Biological_NDC_5                                0 non-null      float64\n",
      " 88  Associated_Device_or_Medical_Supply_PDI_5                          0 non-null      float64\n",
      " 89  Program_Year                                                       10000 non-null  int64  \n",
      " 90  Payment_Publication_Date                                           10000 non-null  object \n",
      "dtypes: float64(27), int64(4), object(60)\n",
      "memory usage: 6.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info(file_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "458fe9fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       False\n",
       "1       False\n",
       "2       False\n",
       "3       False\n",
       "4       False\n",
       "        ...  \n",
       "9995    False\n",
       "9996    False\n",
       "9997    False\n",
       "9998    False\n",
       "9999    False\n",
       "Length: 10000, dtype: bool"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "3896be64",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Change_Type                                                     0\n",
       "Covered_Recipient_Type                                          0\n",
       "Teaching_Hospital_CCN                                        9960\n",
       "Teaching_Hospital_ID                                         9960\n",
       "Teaching_Hospital_Name                                       9960\n",
       "                                                            ...  \n",
       "Name_of_Drug_or_Biological_or_Device_or_Medical_Supply_5     9786\n",
       "Associated_Drug_or_Biological_NDC_5                         10000\n",
       "Associated_Device_or_Medical_Supply_PDI_5                   10000\n",
       "Program_Year                                                    0\n",
       "Payment_Publication_Date                                        0\n",
       "Length: 91, dtype: int64"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "586e99a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df = df.iloc[:, [1, 5, 6, 7, 9, 13, 14, 15, 19, 25, 36, 37, 38, 39, 40, 41, 42, 43, 56, 89, 90]]\n",
    "\n",
    "#df.drop(columns=['column1', 'column2', 'column3'], inplace=True)\n",
    "\n",
    "df.drop(df.columns[[2, 3, 4, 8, 10, 11, 12, 16, 17, 18, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, \n",
    "                   32, 33, 34, 35, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 57, 58, 59, 60, 61, 62, \n",
    "                   63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76,77, 78,79, 80, 81, 82, 83,\n",
    "                    84, 85, 86, 87, 88]], axis=1, \n",
    "        inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "4e0bb10a",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10000 entries, 0 to 9999\n",
      "Data columns (total 22 columns):\n",
      " #   Column                                                            Non-Null Count  Dtype  \n",
      "---  ------                                                            --------------  -----  \n",
      " 0   Change_Type                                                       10000 non-null  object \n",
      " 1   Covered_Recipient_Type                                            10000 non-null  object \n",
      " 2   Covered_Recipient_Profile_ID                                      9960 non-null   float64\n",
      " 3   Covered_Recipient_NPI                                             9960 non-null   float64\n",
      " 4   Covered_Recipient_First_Name                                      9960 non-null   object \n",
      " 5   Covered_Recipient_Last_Name                                       9959 non-null   object \n",
      " 6   Recipient_City                                                    10000 non-null  object \n",
      " 7   Recipient_State                                                   10000 non-null  object \n",
      " 8   Recipient_Zip_Code                                                10000 non-null  object \n",
      " 9   Covered_Recipient_Primary_Type_1                                  9960 non-null   object \n",
      " 10  Covered_Recipient_Specialty_1                                     9956 non-null   object \n",
      " 11  Submitting_Applicable_Manufacturer_or_Applicable_GPO_Name         10000 non-null  object \n",
      " 12  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_ID       10000 non-null  int64  \n",
      " 13  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Name     10000 non-null  object \n",
      " 14  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_State    9967 non-null   object \n",
      " 15  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Country  10000 non-null  object \n",
      " 16  Total_Amount_of_Payment_USDollars                                 10000 non-null  float64\n",
      " 17  Date_of_Payment                                                   10000 non-null  object \n",
      " 18  Number_of_Payments_Included_in_Total_Amount                       10000 non-null  int64  \n",
      " 19  Record_ID                                                         10000 non-null  int64  \n",
      " 20  Program_Year                                                      10000 non-null  int64  \n",
      " 21  Payment_Publication_Date                                          10000 non-null  object \n",
      "dtypes: float64(3), int64(4), object(15)\n",
      "memory usage: 1.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info(file_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "cfe56cfd",
   "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>Change_Type</th>\n",
       "      <th>Covered_Recipient_Type</th>\n",
       "      <th>Covered_Recipient_Profile_ID</th>\n",
       "      <th>Covered_Recipient_NPI</th>\n",
       "      <th>Covered_Recipient_First_Name</th>\n",
       "      <th>Covered_Recipient_Last_Name</th>\n",
       "      <th>Recipient_City</th>\n",
       "      <th>Recipient_State</th>\n",
       "      <th>Recipient_Zip_Code</th>\n",
       "      <th>Covered_Recipient_Primary_Type_1</th>\n",
       "      <th>...</th>\n",
       "      <th>Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_ID</th>\n",
       "      <th>Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Name</th>\n",
       "      <th>Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_State</th>\n",
       "      <th>Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Country</th>\n",
       "      <th>Total_Amount_of_Payment_USDollars</th>\n",
       "      <th>Date_of_Payment</th>\n",
       "      <th>Number_of_Payments_Included_in_Total_Amount</th>\n",
       "      <th>Record_ID</th>\n",
       "      <th>Program_Year</th>\n",
       "      <th>Payment_Publication_Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>557946.0</td>\n",
       "      <td>1.841302e+09</td>\n",
       "      <td>Vikas</td>\n",
       "      <td>Pilly</td>\n",
       "      <td>Williamsville</td>\n",
       "      <td>NY</td>\n",
       "      <td>14221-5771</td>\n",
       "      <td>Medical Doctor</td>\n",
       "      <td>...</td>\n",
       "      <td>100000246826</td>\n",
       "      <td>Caerus Corp.</td>\n",
       "      <td>MN</td>\n",
       "      <td>United States</td>\n",
       "      <td>14875.00</td>\n",
       "      <td>08/19/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>709231379</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>276936.0</td>\n",
       "      <td>1.093896e+09</td>\n",
       "      <td>Matthew</td>\n",
       "      <td>Hall</td>\n",
       "      <td>Syracuse</td>\n",
       "      <td>NY</td>\n",
       "      <td>13203</td>\n",
       "      <td>Doctor of Dentistry</td>\n",
       "      <td>...</td>\n",
       "      <td>100000151564</td>\n",
       "      <td>Solvay Dental 360-A Div of Solvay Specialty Po...</td>\n",
       "      <td>GA</td>\n",
       "      <td>United States</td>\n",
       "      <td>5296.00</td>\n",
       "      <td>06/16/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>709230901</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>1275463.0</td>\n",
       "      <td>1.154534e+09</td>\n",
       "      <td>Stephen</td>\n",
       "      <td>Campbell</td>\n",
       "      <td>Hinsdale</td>\n",
       "      <td>IL</td>\n",
       "      <td>60521</td>\n",
       "      <td>Doctor of Dentistry</td>\n",
       "      <td>...</td>\n",
       "      <td>100000151564</td>\n",
       "      <td>Solvay Dental 360-A Div of Solvay Specialty Po...</td>\n",
       "      <td>GA</td>\n",
       "      <td>United States</td>\n",
       "      <td>1050.00</td>\n",
       "      <td>08/02/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>709230907</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>268352.0</td>\n",
       "      <td>1.902872e+09</td>\n",
       "      <td>Leroy</td>\n",
       "      <td>McCarty</td>\n",
       "      <td>Edina</td>\n",
       "      <td>MN</td>\n",
       "      <td>55439-2516</td>\n",
       "      <td>Medical Doctor</td>\n",
       "      <td>...</td>\n",
       "      <td>100000246826</td>\n",
       "      <td>Caerus Corp.</td>\n",
       "      <td>MN</td>\n",
       "      <td>United States</td>\n",
       "      <td>4750.00</td>\n",
       "      <td>03/19/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>709231369</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>904225.0</td>\n",
       "      <td>1.003949e+09</td>\n",
       "      <td>Michael</td>\n",
       "      <td>Latza</td>\n",
       "      <td>Plainfield</td>\n",
       "      <td>NJ</td>\n",
       "      <td>07060-1206</td>\n",
       "      <td>Chiropractor</td>\n",
       "      <td>...</td>\n",
       "      <td>100000246826</td>\n",
       "      <td>Caerus Corp.</td>\n",
       "      <td>MN</td>\n",
       "      <td>United States</td>\n",
       "      <td>320.00</td>\n",
       "      <td>10/13/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>709231357</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9995</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>769070.0</td>\n",
       "      <td>1.245407e+09</td>\n",
       "      <td>BRENDA</td>\n",
       "      <td>HUGHES</td>\n",
       "      <td>BAYTOWN</td>\n",
       "      <td>TX</td>\n",
       "      <td>77521-2285</td>\n",
       "      <td>Medical Doctor</td>\n",
       "      <td>...</td>\n",
       "      <td>100000000186</td>\n",
       "      <td>Mission Pharmacal Company</td>\n",
       "      <td>TX</td>\n",
       "      <td>United States</td>\n",
       "      <td>16.45</td>\n",
       "      <td>08/11/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>712452929</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9996</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>10071.0</td>\n",
       "      <td>1.235106e+09</td>\n",
       "      <td>NANCI</td>\n",
       "      <td>BUCY</td>\n",
       "      <td>LAKE ST. LOUIS</td>\n",
       "      <td>MO</td>\n",
       "      <td>63367</td>\n",
       "      <td>Doctor of Osteopathy</td>\n",
       "      <td>...</td>\n",
       "      <td>100000000186</td>\n",
       "      <td>Mission Pharmacal Company</td>\n",
       "      <td>TX</td>\n",
       "      <td>United States</td>\n",
       "      <td>19.13</td>\n",
       "      <td>07/14/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>712452999</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9997</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>290972.0</td>\n",
       "      <td>1.407850e+09</td>\n",
       "      <td>DONALD</td>\n",
       "      <td>SAVITZ</td>\n",
       "      <td>STAMFORD</td>\n",
       "      <td>CT</td>\n",
       "      <td>06903-4436</td>\n",
       "      <td>Medical Doctor</td>\n",
       "      <td>...</td>\n",
       "      <td>100000000186</td>\n",
       "      <td>Mission Pharmacal Company</td>\n",
       "      <td>TX</td>\n",
       "      <td>United States</td>\n",
       "      <td>15.30</td>\n",
       "      <td>08/21/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>712453017</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9998</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>125401.0</td>\n",
       "      <td>1.770718e+09</td>\n",
       "      <td>ADRIAN</td>\n",
       "      <td>MARIMON</td>\n",
       "      <td>MIAMI</td>\n",
       "      <td>FL</td>\n",
       "      <td>33175-3598</td>\n",
       "      <td>Medical Doctor</td>\n",
       "      <td>...</td>\n",
       "      <td>100000000186</td>\n",
       "      <td>Mission Pharmacal Company</td>\n",
       "      <td>TX</td>\n",
       "      <td>United States</td>\n",
       "      <td>14.94</td>\n",
       "      <td>02/21/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>712452483</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9999</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>1289294.0</td>\n",
       "      <td>1.821064e+09</td>\n",
       "      <td>WILLIAM</td>\n",
       "      <td>LANDRY</td>\n",
       "      <td>COVINGTON</td>\n",
       "      <td>LA</td>\n",
       "      <td>70433-7509</td>\n",
       "      <td>Medical Doctor</td>\n",
       "      <td>...</td>\n",
       "      <td>100000000186</td>\n",
       "      <td>Mission Pharmacal Company</td>\n",
       "      <td>TX</td>\n",
       "      <td>United States</td>\n",
       "      <td>15.31</td>\n",
       "      <td>10/27/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>712451867</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10000 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Change_Type       Covered_Recipient_Type  Covered_Recipient_Profile_ID  \\\n",
       "0      UNCHANGED  Covered Recipient Physician                      557946.0   \n",
       "1      UNCHANGED  Covered Recipient Physician                      276936.0   \n",
       "2      UNCHANGED  Covered Recipient Physician                     1275463.0   \n",
       "3      UNCHANGED  Covered Recipient Physician                      268352.0   \n",
       "4      UNCHANGED  Covered Recipient Physician                      904225.0   \n",
       "...          ...                          ...                           ...   \n",
       "9995   UNCHANGED  Covered Recipient Physician                      769070.0   \n",
       "9996   UNCHANGED  Covered Recipient Physician                       10071.0   \n",
       "9997   UNCHANGED  Covered Recipient Physician                      290972.0   \n",
       "9998   UNCHANGED  Covered Recipient Physician                      125401.0   \n",
       "9999   UNCHANGED  Covered Recipient Physician                     1289294.0   \n",
       "\n",
       "      Covered_Recipient_NPI Covered_Recipient_First_Name  \\\n",
       "0              1.841302e+09                        Vikas   \n",
       "1              1.093896e+09                      Matthew   \n",
       "2              1.154534e+09                      Stephen   \n",
       "3              1.902872e+09                        Leroy   \n",
       "4              1.003949e+09                      Michael   \n",
       "...                     ...                          ...   \n",
       "9995           1.245407e+09                       BRENDA   \n",
       "9996           1.235106e+09                        NANCI   \n",
       "9997           1.407850e+09                       DONALD   \n",
       "9998           1.770718e+09                       ADRIAN   \n",
       "9999           1.821064e+09                      WILLIAM   \n",
       "\n",
       "     Covered_Recipient_Last_Name  Recipient_City Recipient_State  \\\n",
       "0                          Pilly   Williamsville              NY   \n",
       "1                           Hall        Syracuse              NY   \n",
       "2                       Campbell        Hinsdale              IL   \n",
       "3                        McCarty           Edina              MN   \n",
       "4                          Latza      Plainfield              NJ   \n",
       "...                          ...             ...             ...   \n",
       "9995                      HUGHES         BAYTOWN              TX   \n",
       "9996                        BUCY  LAKE ST. LOUIS              MO   \n",
       "9997                      SAVITZ        STAMFORD              CT   \n",
       "9998                     MARIMON           MIAMI              FL   \n",
       "9999                      LANDRY       COVINGTON              LA   \n",
       "\n",
       "     Recipient_Zip_Code Covered_Recipient_Primary_Type_1  ...  \\\n",
       "0            14221-5771                   Medical Doctor  ...   \n",
       "1                 13203              Doctor of Dentistry  ...   \n",
       "2                 60521              Doctor of Dentistry  ...   \n",
       "3            55439-2516                   Medical Doctor  ...   \n",
       "4            07060-1206                     Chiropractor  ...   \n",
       "...                 ...                              ...  ...   \n",
       "9995         77521-2285                   Medical Doctor  ...   \n",
       "9996              63367             Doctor of Osteopathy  ...   \n",
       "9997         06903-4436                   Medical Doctor  ...   \n",
       "9998         33175-3598                   Medical Doctor  ...   \n",
       "9999         70433-7509                   Medical Doctor  ...   \n",
       "\n",
       "     Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_ID  \\\n",
       "0                                          100000246826            \n",
       "1                                          100000151564            \n",
       "2                                          100000151564            \n",
       "3                                          100000246826            \n",
       "4                                          100000246826            \n",
       "...                                                 ...            \n",
       "9995                                       100000000186            \n",
       "9996                                       100000000186            \n",
       "9997                                       100000000186            \n",
       "9998                                       100000000186            \n",
       "9999                                       100000000186            \n",
       "\n",
       "     Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Name  \\\n",
       "0                                          Caerus Corp.              \n",
       "1     Solvay Dental 360-A Div of Solvay Specialty Po...              \n",
       "2     Solvay Dental 360-A Div of Solvay Specialty Po...              \n",
       "3                                          Caerus Corp.              \n",
       "4                                          Caerus Corp.              \n",
       "...                                                 ...              \n",
       "9995                          Mission Pharmacal Company              \n",
       "9996                          Mission Pharmacal Company              \n",
       "9997                          Mission Pharmacal Company              \n",
       "9998                          Mission Pharmacal Company              \n",
       "9999                          Mission Pharmacal Company              \n",
       "\n",
       "      Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_State  \\\n",
       "0                                                    MN                \n",
       "1                                                    GA                \n",
       "2                                                    GA                \n",
       "3                                                    MN                \n",
       "4                                                    MN                \n",
       "...                                                 ...                \n",
       "9995                                                 TX                \n",
       "9996                                                 TX                \n",
       "9997                                                 TX                \n",
       "9998                                                 TX                \n",
       "9999                                                 TX                \n",
       "\n",
       "     Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Country  \\\n",
       "0                                         United States                 \n",
       "1                                         United States                 \n",
       "2                                         United States                 \n",
       "3                                         United States                 \n",
       "4                                         United States                 \n",
       "...                                                 ...                 \n",
       "9995                                      United States                 \n",
       "9996                                      United States                 \n",
       "9997                                      United States                 \n",
       "9998                                      United States                 \n",
       "9999                                      United States                 \n",
       "\n",
       "     Total_Amount_of_Payment_USDollars Date_of_Payment  \\\n",
       "0                             14875.00      08/19/2020   \n",
       "1                              5296.00      06/16/2020   \n",
       "2                              1050.00      08/02/2020   \n",
       "3                              4750.00      03/19/2020   \n",
       "4                               320.00      10/13/2020   \n",
       "...                                ...             ...   \n",
       "9995                             16.45      08/11/2020   \n",
       "9996                             19.13      07/14/2020   \n",
       "9997                             15.30      08/21/2020   \n",
       "9998                             14.94      02/21/2020   \n",
       "9999                             15.31      10/27/2020   \n",
       "\n",
       "      Number_of_Payments_Included_in_Total_Amount  Record_ID  Program_Year  \\\n",
       "0                                               1  709231379          2020   \n",
       "1                                               1  709230901          2020   \n",
       "2                                               1  709230907          2020   \n",
       "3                                               1  709231369          2020   \n",
       "4                                               1  709231357          2020   \n",
       "...                                           ...        ...           ...   \n",
       "9995                                            1  712452929          2020   \n",
       "9996                                            1  712452999          2020   \n",
       "9997                                            1  712453017          2020   \n",
       "9998                                            1  712452483          2020   \n",
       "9999                                            1  712451867          2020   \n",
       "\n",
       "      Payment_Publication_Date  \n",
       "0                   01/20/2023  \n",
       "1                   01/20/2023  \n",
       "2                   01/20/2023  \n",
       "3                   01/20/2023  \n",
       "4                   01/20/2023  \n",
       "...                        ...  \n",
       "9995                01/20/2023  \n",
       "9996                01/20/2023  \n",
       "9997                01/20/2023  \n",
       "9998                01/20/2023  \n",
       "9999                01/20/2023  \n",
       "\n",
       "[10000 rows x 22 columns]"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "c9b55518",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Change_Type', 'Covered_Recipient_Type', 'Covered_Recipient_Profile_ID',\n",
       "       'Covered_Recipient_NPI', 'Covered_Recipient_First_Name',\n",
       "       'Covered_Recipient_Last_Name', 'Recipient_City', 'Recipient_State',\n",
       "       'Recipient_Zip_Code', 'Covered_Recipient_Primary_Type_1',\n",
       "       'Covered_Recipient_Specialty_1',\n",
       "       'Submitting_Applicable_Manufacturer_or_Applicable_GPO_Name',\n",
       "       'Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_ID',\n",
       "       'Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Name',\n",
       "       'Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_State',\n",
       "       'Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Country',\n",
       "       'Total_Amount_of_Payment_USDollars', 'Date_of_Payment',\n",
       "       'Number_of_Payments_Included_in_Total_Amount', 'Record_ID',\n",
       "       'Program_Year', 'Payment_Publication_Date'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "c5b80e22",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Change_Type                                                          0\n",
       "Covered_Recipient_Type                                               0\n",
       "Covered_Recipient_Profile_ID                                        40\n",
       "Covered_Recipient_NPI                                               40\n",
       "Covered_Recipient_First_Name                                        40\n",
       "Covered_Recipient_Last_Name                                         41\n",
       "Recipient_City                                                       0\n",
       "Recipient_State                                                      0\n",
       "Recipient_Zip_Code                                                   0\n",
       "Covered_Recipient_Primary_Type_1                                    40\n",
       "Covered_Recipient_Specialty_1                                       44\n",
       "Submitting_Applicable_Manufacturer_or_Applicable_GPO_Name            0\n",
       "Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_ID          0\n",
       "Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Name        0\n",
       "Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_State      33\n",
       "Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Country     0\n",
       "Total_Amount_of_Payment_USDollars                                    0\n",
       "Date_of_Payment                                                      0\n",
       "Number_of_Payments_Included_in_Total_Amount                          0\n",
       "Record_ID                                                            0\n",
       "Program_Year                                                         0\n",
       "Payment_Publication_Date                                             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "1d6eff2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Recipient_Zip_Code'] = df['Recipient_Zip_Code'].astype(str).str[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "1216c40a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0       14221\n",
      "1       13203\n",
      "2       60521\n",
      "3       55439\n",
      "4       07060\n",
      "        ...  \n",
      "9995    77521\n",
      "9996    63367\n",
      "9997    06903\n",
      "9998    33175\n",
      "9999    70433\n",
      "Name: Recipient_Zip_Code, Length: 10000, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(df['Recipient_Zip_Code'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "fd7a67ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Total_Amount_of_Payment_USDollars'] = df['Total_Amount_of_Payment_USDollars'].round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "77a07f55",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0       14875.00\n",
      "1        5296.00\n",
      "2        1050.00\n",
      "3        4750.00\n",
      "4         320.00\n",
      "          ...   \n",
      "9995       16.45\n",
      "9996       19.13\n",
      "9997       15.30\n",
      "9998       14.94\n",
      "9999       15.31\n",
      "Name: Total_Amount_of_Payment_USDollars, Length: 10000, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "print(df['Total_Amount_of_Payment_USDollars'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "48d3885d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.fillna(\"Not available\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "afe6c7a9",
   "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>Change_Type</th>\n",
       "      <th>Covered_Recipient_Type</th>\n",
       "      <th>Covered_Recipient_Profile_ID</th>\n",
       "      <th>Covered_Recipient_NPI</th>\n",
       "      <th>Covered_Recipient_First_Name</th>\n",
       "      <th>Covered_Recipient_Last_Name</th>\n",
       "      <th>Recipient_City</th>\n",
       "      <th>Recipient_State</th>\n",
       "      <th>Recipient_Zip_Code</th>\n",
       "      <th>Covered_Recipient_Primary_Type_1</th>\n",
       "      <th>...</th>\n",
       "      <th>Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_ID</th>\n",
       "      <th>Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Name</th>\n",
       "      <th>Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_State</th>\n",
       "      <th>Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Country</th>\n",
       "      <th>Total_Amount_of_Payment_USDollars</th>\n",
       "      <th>Date_of_Payment</th>\n",
       "      <th>Number_of_Payments_Included_in_Total_Amount</th>\n",
       "      <th>Record_ID</th>\n",
       "      <th>Program_Year</th>\n",
       "      <th>Payment_Publication_Date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>557946.0</td>\n",
       "      <td>1841302403.0</td>\n",
       "      <td>Vikas</td>\n",
       "      <td>Pilly</td>\n",
       "      <td>Williamsville</td>\n",
       "      <td>NY</td>\n",
       "      <td>14221</td>\n",
       "      <td>Medical Doctor</td>\n",
       "      <td>...</td>\n",
       "      <td>100000246826</td>\n",
       "      <td>Caerus Corp.</td>\n",
       "      <td>MN</td>\n",
       "      <td>United States</td>\n",
       "      <td>14875.00</td>\n",
       "      <td>08/19/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>709231379</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>276936.0</td>\n",
       "      <td>1093895625.0</td>\n",
       "      <td>Matthew</td>\n",
       "      <td>Hall</td>\n",
       "      <td>Syracuse</td>\n",
       "      <td>NY</td>\n",
       "      <td>13203</td>\n",
       "      <td>Doctor of Dentistry</td>\n",
       "      <td>...</td>\n",
       "      <td>100000151564</td>\n",
       "      <td>Solvay Dental 360-A Div of Solvay Specialty Po...</td>\n",
       "      <td>GA</td>\n",
       "      <td>United States</td>\n",
       "      <td>5296.00</td>\n",
       "      <td>06/16/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>709230901</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>1275463.0</td>\n",
       "      <td>1154534287.0</td>\n",
       "      <td>Stephen</td>\n",
       "      <td>Campbell</td>\n",
       "      <td>Hinsdale</td>\n",
       "      <td>IL</td>\n",
       "      <td>60521</td>\n",
       "      <td>Doctor of Dentistry</td>\n",
       "      <td>...</td>\n",
       "      <td>100000151564</td>\n",
       "      <td>Solvay Dental 360-A Div of Solvay Specialty Po...</td>\n",
       "      <td>GA</td>\n",
       "      <td>United States</td>\n",
       "      <td>1050.00</td>\n",
       "      <td>08/02/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>709230907</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>268352.0</td>\n",
       "      <td>1902871882.0</td>\n",
       "      <td>Leroy</td>\n",
       "      <td>McCarty</td>\n",
       "      <td>Edina</td>\n",
       "      <td>MN</td>\n",
       "      <td>55439</td>\n",
       "      <td>Medical Doctor</td>\n",
       "      <td>...</td>\n",
       "      <td>100000246826</td>\n",
       "      <td>Caerus Corp.</td>\n",
       "      <td>MN</td>\n",
       "      <td>United States</td>\n",
       "      <td>4750.00</td>\n",
       "      <td>03/19/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>709231369</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>904225.0</td>\n",
       "      <td>1003949256.0</td>\n",
       "      <td>Michael</td>\n",
       "      <td>Latza</td>\n",
       "      <td>Plainfield</td>\n",
       "      <td>NJ</td>\n",
       "      <td>07060</td>\n",
       "      <td>Chiropractor</td>\n",
       "      <td>...</td>\n",
       "      <td>100000246826</td>\n",
       "      <td>Caerus Corp.</td>\n",
       "      <td>MN</td>\n",
       "      <td>United States</td>\n",
       "      <td>320.00</td>\n",
       "      <td>10/13/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>709231357</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9995</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>769070.0</td>\n",
       "      <td>1245406826.0</td>\n",
       "      <td>BRENDA</td>\n",
       "      <td>HUGHES</td>\n",
       "      <td>BAYTOWN</td>\n",
       "      <td>TX</td>\n",
       "      <td>77521</td>\n",
       "      <td>Medical Doctor</td>\n",
       "      <td>...</td>\n",
       "      <td>100000000186</td>\n",
       "      <td>Mission Pharmacal Company</td>\n",
       "      <td>TX</td>\n",
       "      <td>United States</td>\n",
       "      <td>16.45</td>\n",
       "      <td>08/11/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>712452929</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9996</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>10071.0</td>\n",
       "      <td>1235106485.0</td>\n",
       "      <td>NANCI</td>\n",
       "      <td>BUCY</td>\n",
       "      <td>LAKE ST. LOUIS</td>\n",
       "      <td>MO</td>\n",
       "      <td>63367</td>\n",
       "      <td>Doctor of Osteopathy</td>\n",
       "      <td>...</td>\n",
       "      <td>100000000186</td>\n",
       "      <td>Mission Pharmacal Company</td>\n",
       "      <td>TX</td>\n",
       "      <td>United States</td>\n",
       "      <td>19.13</td>\n",
       "      <td>07/14/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>712452999</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9997</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>290972.0</td>\n",
       "      <td>1407849912.0</td>\n",
       "      <td>DONALD</td>\n",
       "      <td>SAVITZ</td>\n",
       "      <td>STAMFORD</td>\n",
       "      <td>CT</td>\n",
       "      <td>06903</td>\n",
       "      <td>Medical Doctor</td>\n",
       "      <td>...</td>\n",
       "      <td>100000000186</td>\n",
       "      <td>Mission Pharmacal Company</td>\n",
       "      <td>TX</td>\n",
       "      <td>United States</td>\n",
       "      <td>15.30</td>\n",
       "      <td>08/21/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>712453017</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9998</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>125401.0</td>\n",
       "      <td>1770718058.0</td>\n",
       "      <td>ADRIAN</td>\n",
       "      <td>MARIMON</td>\n",
       "      <td>MIAMI</td>\n",
       "      <td>FL</td>\n",
       "      <td>33175</td>\n",
       "      <td>Medical Doctor</td>\n",
       "      <td>...</td>\n",
       "      <td>100000000186</td>\n",
       "      <td>Mission Pharmacal Company</td>\n",
       "      <td>TX</td>\n",
       "      <td>United States</td>\n",
       "      <td>14.94</td>\n",
       "      <td>02/21/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>712452483</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9999</th>\n",
       "      <td>UNCHANGED</td>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>1289294.0</td>\n",
       "      <td>1821064106.0</td>\n",
       "      <td>WILLIAM</td>\n",
       "      <td>LANDRY</td>\n",
       "      <td>COVINGTON</td>\n",
       "      <td>LA</td>\n",
       "      <td>70433</td>\n",
       "      <td>Medical Doctor</td>\n",
       "      <td>...</td>\n",
       "      <td>100000000186</td>\n",
       "      <td>Mission Pharmacal Company</td>\n",
       "      <td>TX</td>\n",
       "      <td>United States</td>\n",
       "      <td>15.31</td>\n",
       "      <td>10/27/2020</td>\n",
       "      <td>1</td>\n",
       "      <td>712451867</td>\n",
       "      <td>2020</td>\n",
       "      <td>01/20/2023</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10000 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Change_Type       Covered_Recipient_Type Covered_Recipient_Profile_ID  \\\n",
       "0      UNCHANGED  Covered Recipient Physician                     557946.0   \n",
       "1      UNCHANGED  Covered Recipient Physician                     276936.0   \n",
       "2      UNCHANGED  Covered Recipient Physician                    1275463.0   \n",
       "3      UNCHANGED  Covered Recipient Physician                     268352.0   \n",
       "4      UNCHANGED  Covered Recipient Physician                     904225.0   \n",
       "...          ...                          ...                          ...   \n",
       "9995   UNCHANGED  Covered Recipient Physician                     769070.0   \n",
       "9996   UNCHANGED  Covered Recipient Physician                      10071.0   \n",
       "9997   UNCHANGED  Covered Recipient Physician                     290972.0   \n",
       "9998   UNCHANGED  Covered Recipient Physician                     125401.0   \n",
       "9999   UNCHANGED  Covered Recipient Physician                    1289294.0   \n",
       "\n",
       "     Covered_Recipient_NPI Covered_Recipient_First_Name  \\\n",
       "0             1841302403.0                        Vikas   \n",
       "1             1093895625.0                      Matthew   \n",
       "2             1154534287.0                      Stephen   \n",
       "3             1902871882.0                        Leroy   \n",
       "4             1003949256.0                      Michael   \n",
       "...                    ...                          ...   \n",
       "9995          1245406826.0                       BRENDA   \n",
       "9996          1235106485.0                        NANCI   \n",
       "9997          1407849912.0                       DONALD   \n",
       "9998          1770718058.0                       ADRIAN   \n",
       "9999          1821064106.0                      WILLIAM   \n",
       "\n",
       "     Covered_Recipient_Last_Name  Recipient_City Recipient_State  \\\n",
       "0                          Pilly   Williamsville              NY   \n",
       "1                           Hall        Syracuse              NY   \n",
       "2                       Campbell        Hinsdale              IL   \n",
       "3                        McCarty           Edina              MN   \n",
       "4                          Latza      Plainfield              NJ   \n",
       "...                          ...             ...             ...   \n",
       "9995                      HUGHES         BAYTOWN              TX   \n",
       "9996                        BUCY  LAKE ST. LOUIS              MO   \n",
       "9997                      SAVITZ        STAMFORD              CT   \n",
       "9998                     MARIMON           MIAMI              FL   \n",
       "9999                      LANDRY       COVINGTON              LA   \n",
       "\n",
       "     Recipient_Zip_Code Covered_Recipient_Primary_Type_1  ...  \\\n",
       "0                 14221                   Medical Doctor  ...   \n",
       "1                 13203              Doctor of Dentistry  ...   \n",
       "2                 60521              Doctor of Dentistry  ...   \n",
       "3                 55439                   Medical Doctor  ...   \n",
       "4                 07060                     Chiropractor  ...   \n",
       "...                 ...                              ...  ...   \n",
       "9995              77521                   Medical Doctor  ...   \n",
       "9996              63367             Doctor of Osteopathy  ...   \n",
       "9997              06903                   Medical Doctor  ...   \n",
       "9998              33175                   Medical Doctor  ...   \n",
       "9999              70433                   Medical Doctor  ...   \n",
       "\n",
       "     Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_ID  \\\n",
       "0                                          100000246826            \n",
       "1                                          100000151564            \n",
       "2                                          100000151564            \n",
       "3                                          100000246826            \n",
       "4                                          100000246826            \n",
       "...                                                 ...            \n",
       "9995                                       100000000186            \n",
       "9996                                       100000000186            \n",
       "9997                                       100000000186            \n",
       "9998                                       100000000186            \n",
       "9999                                       100000000186            \n",
       "\n",
       "     Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Name  \\\n",
       "0                                          Caerus Corp.              \n",
       "1     Solvay Dental 360-A Div of Solvay Specialty Po...              \n",
       "2     Solvay Dental 360-A Div of Solvay Specialty Po...              \n",
       "3                                          Caerus Corp.              \n",
       "4                                          Caerus Corp.              \n",
       "...                                                 ...              \n",
       "9995                          Mission Pharmacal Company              \n",
       "9996                          Mission Pharmacal Company              \n",
       "9997                          Mission Pharmacal Company              \n",
       "9998                          Mission Pharmacal Company              \n",
       "9999                          Mission Pharmacal Company              \n",
       "\n",
       "      Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_State  \\\n",
       "0                                                    MN                \n",
       "1                                                    GA                \n",
       "2                                                    GA                \n",
       "3                                                    MN                \n",
       "4                                                    MN                \n",
       "...                                                 ...                \n",
       "9995                                                 TX                \n",
       "9996                                                 TX                \n",
       "9997                                                 TX                \n",
       "9998                                                 TX                \n",
       "9999                                                 TX                \n",
       "\n",
       "     Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Country  \\\n",
       "0                                         United States                 \n",
       "1                                         United States                 \n",
       "2                                         United States                 \n",
       "3                                         United States                 \n",
       "4                                         United States                 \n",
       "...                                                 ...                 \n",
       "9995                                      United States                 \n",
       "9996                                      United States                 \n",
       "9997                                      United States                 \n",
       "9998                                      United States                 \n",
       "9999                                      United States                 \n",
       "\n",
       "     Total_Amount_of_Payment_USDollars Date_of_Payment  \\\n",
       "0                             14875.00      08/19/2020   \n",
       "1                              5296.00      06/16/2020   \n",
       "2                              1050.00      08/02/2020   \n",
       "3                              4750.00      03/19/2020   \n",
       "4                               320.00      10/13/2020   \n",
       "...                                ...             ...   \n",
       "9995                             16.45      08/11/2020   \n",
       "9996                             19.13      07/14/2020   \n",
       "9997                             15.30      08/21/2020   \n",
       "9998                             14.94      02/21/2020   \n",
       "9999                             15.31      10/27/2020   \n",
       "\n",
       "      Number_of_Payments_Included_in_Total_Amount  Record_ID  Program_Year  \\\n",
       "0                                               1  709231379          2020   \n",
       "1                                               1  709230901          2020   \n",
       "2                                               1  709230907          2020   \n",
       "3                                               1  709231369          2020   \n",
       "4                                               1  709231357          2020   \n",
       "...                                           ...        ...           ...   \n",
       "9995                                            1  712452929          2020   \n",
       "9996                                            1  712452999          2020   \n",
       "9997                                            1  712453017          2020   \n",
       "9998                                            1  712452483          2020   \n",
       "9999                                            1  712451867          2020   \n",
       "\n",
       "      Payment_Publication_Date  \n",
       "0                   01/20/2023  \n",
       "1                   01/20/2023  \n",
       "2                   01/20/2023  \n",
       "3                   01/20/2023  \n",
       "4                   01/20/2023  \n",
       "...                        ...  \n",
       "9995                01/20/2023  \n",
       "9996                01/20/2023  \n",
       "9997                01/20/2023  \n",
       "9998                01/20/2023  \n",
       "9999                01/20/2023  \n",
       "\n",
       "[10000 rows x 22 columns]"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "22e609ea",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10000 entries, 0 to 9999\n",
      "Data columns (total 22 columns):\n",
      " #   Column                                                            Non-Null Count  Dtype  \n",
      "---  ------                                                            --------------  -----  \n",
      " 0   Change_Type                                                       10000 non-null  object \n",
      " 1   Covered_Recipient_Type                                            10000 non-null  object \n",
      " 2   Covered_Recipient_Profile_ID                                      10000 non-null  object \n",
      " 3   Covered_Recipient_NPI                                             10000 non-null  object \n",
      " 4   Covered_Recipient_First_Name                                      10000 non-null  object \n",
      " 5   Covered_Recipient_Last_Name                                       10000 non-null  object \n",
      " 6   Recipient_City                                                    10000 non-null  object \n",
      " 7   Recipient_State                                                   10000 non-null  object \n",
      " 8   Recipient_Zip_Code                                                10000 non-null  object \n",
      " 9   Covered_Recipient_Primary_Type_1                                  10000 non-null  object \n",
      " 10  Covered_Recipient_Specialty_1                                     10000 non-null  object \n",
      " 11  Submitting_Applicable_Manufacturer_or_Applicable_GPO_Name         10000 non-null  object \n",
      " 12  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_ID       10000 non-null  int64  \n",
      " 13  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Name     10000 non-null  object \n",
      " 14  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_State    10000 non-null  object \n",
      " 15  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Country  10000 non-null  object \n",
      " 16  Total_Amount_of_Payment_USDollars                                 10000 non-null  float64\n",
      " 17  Date_of_Payment                                                   10000 non-null  object \n",
      " 18  Number_of_Payments_Included_in_Total_Amount                       10000 non-null  int64  \n",
      " 19  Record_ID                                                         10000 non-null  int64  \n",
      " 20  Program_Year                                                      10000 non-null  int64  \n",
      " 21  Payment_Publication_Date                                          10000 non-null  object \n",
      "dtypes: float64(1), int64(4), object(17)\n",
      "memory usage: 1.7+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info(file_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "e71fa105",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Create a correlation matrix\n",
    "corr_matrix = df.corr()\n",
    "\n",
    "# Create a heatmap using seaborn\n",
    "sns.heatmap(corr_matrix, annot=True, cmap='coolwarm')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "035902d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: >"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.boxplot(figsize = (15,15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "025eeeca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot: title={'center': 'Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_ID'}>,\n",
       "        <AxesSubplot: title={'center': 'Total_Amount_of_Payment_USDollars'}>],\n",
       "       [<AxesSubplot: title={'center': 'Number_of_Payments_Included_in_Total_Amount'}>,\n",
       "        <AxesSubplot: title={'center': 'Record_ID'}>],\n",
       "       [<AxesSubplot: title={'center': 'Program_Year'}>, <AxesSubplot: >]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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g/PGPf2xxjcWLF2f48OEpLy9P9+7dM3LkyLz++ustan7/+99n//33T+fOndO7d+9Mnjx5Q9wOAAAAAHxgrR7Evfrqq/nMZz6TDh065De/+U2eeuqpXHLJJdlmm21KNZMnT84VV1yRadOm5cEHH8xWW22V6urqvPHGG6Wa4cOHZ+HChampqcmsWbNyzz33ZNSoUaXjDQ0NGTJkSHbaaafMnz8/P/rRj3LOOefk2muvbe1bAgAAAIAPbIvWvuBFF12U3r1757rrriut9enTp/T35ubmTJkyJWeddVaOPPLIJMn111+fioqK3HrrrTn22GPz9NNPZ/bs2Xn44YczYMCAJMmVV16Zww8/PBdffHF69eqVG2+8MStWrMjPf/7zdOzYMZ/85Cfz+OOP59JLL20R2AEAAADAxqDVg7jbbrst1dXVOeaYY3L33XfnIx/5SL71rW/lpJNOSpI899xzqaury+DBg0vndOvWLQMHDkxtbW2OPfbY1NbWpnv37qUQLkkGDx6csrKyPPjgg/nCF76Q2traHHDAAenYsWOpprq6OhdddFFeffXVFjvwVmtsbExjY2PpdUNDQ5KkqakpTU1NrT2KTdLqOZjHhmfWxVo9505lzW3cybrbFJ8Rz3exzHtNZgEAwMao1YO4P//5z7n66qszbty4fO9738vDDz+cb3/72+nYsWNGjBiRurq6JElFRUWL8yoqKkrH6urq0rNnz5aNbrFFevTo0aLm7Tvt3n7Nurq6tQZxkyZNyrnnnrvG+pw5c7Lllluu5x1vnmpqatq6hQ8Nsy7WeQNWtXUL6+yOO+5o6xbWm+e7WOb9luXLl7d1CwAAsIZWD+JWrVqVAQMG5Ic//GGS5FOf+lQWLFiQadOmZcSIEa3949bJ+PHjM27cuNLrhoaG9O7dO0OGDEl5eXkbdrbxaGpqSk1NTQ499NB06NChrdvZrJl1sVbP+wePlKVxVbu2bmedLDinuq1bWGee72KZ95pW73oHAICNSasHcTvssEP69evXYq1v3775z//8zyRJZWVlkqS+vj477LBDqaa+vj577713qebll19ucY0333wzixcvLp1fWVmZ+vr6FjWrX6+ueadOnTqlU6dOa6x36NDBLy7vYCbFMetiNa5ql8aVm1YQtyk/H57vYpn3W8wBAICNUat/a+pnPvOZLFq0qMXaH/7wh+y0005J/vHFDZWVlZk7d27peENDQx588MFUVVUlSaqqqrJkyZLMnz+/VDNv3rysWrUqAwcOLNXcc889LT4DpqamJp/4xCfW+rZUAAAAAGhLrR7EnX766XnggQfywx/+MM8++2xmzJiRa6+9NqNHj06StGvXLmPHjs3555+f2267LU8++WROOOGE9OrVK0cddVSSf+ygO+yww3LSSSfloYceyu9+97uMGTMmxx57bHr16pUkOf7449OxY8eMHDkyCxcuzMyZM3P55Ze3eOspAAAAAGwsWv2tqZ/+9Kdzyy23ZPz48Zk4cWL69OmTKVOmZPjw4aWaM844I8uWLcuoUaOyZMmSfPazn83s2bPTuXPnUs2NN96YMWPG5JBDDklZWVmGDRuWK664onS8W7dumTNnTkaPHp3+/ftnu+22y4QJEzJq1KjWviUAAAAA+MBaPYhLkiOOOCJHHHHEux5v165dJk6cmIkTJ75rTY8ePTJjxoz3/Dl77rln7r333vXuEwAAAACK0upvTQUAAAAA1iSIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACbPAg7sILL0y7du0yduzY0tobb7yR0aNHZ9ttt03Xrl0zbNiw1NfXtzjvhRdeyNChQ7PlllumZ8+e+c53vpM333yzRc1dd92VffbZJ506dcquu+6a6dOnb+jbAQAAAID1skGDuIcffjjXXHNN9txzzxbrp59+en7961/n5ptvzt13352XXnopX/ziF0vHV65cmaFDh2bFihW5//7784tf/CLTp0/PhAkTSjXPPfdchg4dmoMOOiiPP/54xo4dmxNPPDF33nnnhrwlAAAAAFgvGyyIe/311zN8+PD85Cc/yTbbbFNaX7p0aX72s5/l0ksvzcEHH5z+/fvnuuuuy/33358HHnggSTJnzpw89dRTueGGG7L33nvnc5/7XM4777xMnTo1K1asSJJMmzYtffr0ySWXXJK+fftmzJgxOfroo3PZZZdtqFsCAAAAgPW2xYa68OjRozN06NAMHjw4559/fml9/vz5aWpqyuDBg0tru+22W3bcccfU1tZm0KBBqa2tzR577JGKiopSTXV1dU455ZQsXLgwn/rUp1JbW9viGqtr3v4W2HdqbGxMY2Nj6XVDQ0OSpKmpKU1NTR/0ljcLq+dgHhueWRdr9Zw7lTW3cSfrblN8RjzfxTLvNZkFAAAbow0SxN1000159NFH8/DDD69xrK6uLh07dkz37t1brFdUVKSurq5U8/YQbvXx1cfeq6ahoSH/93//ly5duqzxsydNmpRzzz13jfU5c+Zkyy23fP83+CFQU1PT1i18aJh1sc4bsKqtW1hnd9xxR1u3sN4838Uy77csX768rVsAAIA1tHoQ95e//CWnnXZaampq0rlz59a+/Acyfvz4jBs3rvS6oaEhvXv3zpAhQ1JeXt6GnW08mpqaUlNTk0MPPTQdOnRo63Y2a2ZdrNXz/sEjZWlc1a6t21knC86pbusW1pnnu1jmvabVu94BAGBj0upB3Pz58/Pyyy9nn332Ka2tXLky99xzT6666qrceeedWbFiRZYsWdJiV1x9fX0qKyuTJJWVlXnooYdaXHf1t6q+vead37RaX1+f8vLyte6GS5JOnTqlU6dOa6x36NDBLy7vYCbFMetiNa5ql8aVm1YQtyk/H57vYpn3W8wBAICNUat/WcMhhxySJ598Mo8//njpz4ABAzJ8+PDS3zt06JC5c+eWzlm0aFFeeOGFVFVVJUmqqqry5JNP5uWXXy7V1NTUpLy8PP369SvVvP0aq2tWXwMAAAAANiatviNu6623zu67795ibauttsq2225bWh85cmTGjRuXHj16pLy8PKeeemqqqqoyaNCgJMmQIUPSr1+/fPWrX83kyZNTV1eXs846K6NHjy7taDv55JNz1VVX5Ywzzsg3vvGNzJs3L7/85S9z++23t/YtAQAAAMAHtsG+NfW9XHbZZSkrK8uwYcPS2NiY6urq/PjHPy4db9++fWbNmpVTTjklVVVV2WqrrTJixIhMnDixVNOnT5/cfvvtOf3003P55Zfnox/9aH7605+munrT+ywlAAAAADZ/hQRxd911V4vXnTt3ztSpUzN16tR3PWennXb6p98UeOCBB+axxx5rjRYBAAAAYINq9c+IAwAAAADWJIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAAgjgAAAAAKIAgDgAAAAAKIIgDAAAAgAK0ehA3adKkfPrTn87WW2+dnj175qijjsqiRYta1LzxxhsZPXp0tt1223Tt2jXDhg1LfX19i5oXXnghQ4cOzZZbbpmePXvmO9/5Tt58880WNXfddVf22WefdOrUKbvuumumT5/e2rcDAAAAAK2i1YO4u+++O6NHj84DDzyQmpqaNDU1ZciQIVm2bFmp5vTTT8+vf/3r3Hzzzbn77rvz0ksv5Ytf/GLp+MqVKzN06NCsWLEi999/f37xi19k+vTpmTBhQqnmueeey9ChQ3PQQQfl8ccfz9ixY3PiiSfmzjvvbO1bAgAAAIAPbIvWvuDs2bNbvJ4+fXp69uyZ+fPn54ADDsjSpUvzs5/9LDNmzMjBBx+cJLnuuuvSt2/fPPDAAxk0aFDmzJmTp556Kr/97W9TUVGRvffeO+edd16++93v5pxzzknHjh0zbdq09OnTJ5dcckmSpG/fvrnvvvty2WWXpbq6urVvCwAAAAA+kFYP4t5p6dKlSZIePXokSebPn5+mpqYMHjy4VLPbbrtlxx13TG1tbQYNGpTa2trsscceqaioKNVUV1fnlFNOycKFC/OpT30qtbW1La6xumbs2LHv2ktjY2MaGxtLrxsaGpIkTU1NaWpq+sD3ujlYPQfz2PDMulir59yprLmNO1l3m+Iz4vkulnmvySwAANgYbdAgbtWqVRk7dmw+85nPZPfdd0+S1NXVpWPHjunevXuL2oqKitTV1ZVq3h7CrT6++th71TQ0NOT//u//0qVLlzX6mTRpUs4999w11ufMmZMtt9xy/W5yM1VTU9PWLXxomHWxzhuwqq1bWGd33HFHW7ew3jzfxTLvtyxfvrytWwAAgDVs0CBu9OjRWbBgQe67774N+WPet/Hjx2fcuHGl1w0NDendu3eGDBmS8vLyNuxs49HU1JSampoceuih6dChQ1u3s1kz62KtnvcPHilL46p2bd3OOllwzqb3dnvPd7HMe02rd70DAMDGZIMFcWPGjMmsWbNyzz335KMf/WhpvbKyMitWrMiSJUta7Iqrr69PZWVlqeahhx5qcb3V36r69pp3ftNqfX19ysvL17obLkk6deqUTp06rbHeoUMHv7i8g5kUx6yL1biqXRpXblpB3Kb8fHi+i2XebzEHAAA2Rq3+ranNzc0ZM2ZMbrnllsybNy99+vRpcbx///7p0KFD5s6dW1pbtGhRXnjhhVRVVSVJqqqq8uSTT+bll18u1dTU1KS8vDz9+vUr1bz9GqtrVl8DAAAAADYmrb4jbvTo0ZkxY0Z+9atfZeutty59plu3bt3SpUuXdOvWLSNHjsy4cePSo0ePlJeX59RTT01VVVUGDRqUJBkyZEj69euXr371q5k8eXLq6upy1llnZfTo0aUdbSeffHKuuuqqnHHGGfnGN76RefPm5Ze//GVuv/321r4lAAAAAPjAWn1H3NVXX52lS5fmwAMPzA477FD6M3PmzFLNZZddliOOOCLDhg3LAQcckMrKyvzXf/1X6Xj79u0za9astG/fPlVVVfnKV76SE044IRMnTizV9OnTJ7fffntqamqy11575ZJLLslPf/rTVFdvep+lBAAAAMDmr9V3xDU3N//Tms6dO2fq1KmZOnXqu9bstNNO//SbAg888MA89thj69wjAAAAABSt1XfEAQAAAABrEsQBAAAAQAEEcQAAAABQAEEcAAAAABRAEAcAAAAABRDEAQAAAEABBHEAAAAAUABBHAAAAAAUQBAHAAAAAAUQxAEAAABAAQRxAAAAAFAAQRwAAAAAFEAQBwAAAAAFEMQBAAAAQAEEcQAAAABQAEEcAAAAABRAEAcAAAAABRDEAQAAAEABBHEAAAAAUABBHAAAAAAUQBAHAAAAAAUQxAEAAABAAQRxAAAAAFAAQRwAAAAAFEAQBwAAAAAFEMQBAAAAQAEEcQAAAABQAEEcAAAAABRAEAcAAAAABRDEAQAAAEABBHEAAAAAUABBHAAAAAAUQBAHAAAAAAUQxAEAAABAAQRxAAAAAFAAQRwAAAAAFEAQBwAAAAAFEMQBAAAAQAEEcQAAAABQAEEcAAAAABRAEAcAAAAABRDEAQAAAEABBHEAAAAAUABBHAAAAAAUQBAHAAAAAAUQxAEAAABAAQRxAAAAAFAAQRwAAAAAFEAQBwAAAAAFEMQBAAAAQAE2+SBu6tSp2XnnndO5c+cMHDgwDz30UFu3BAAAAABr2KSDuJkzZ2bcuHE5++yz8+ijj2avvfZKdXV1Xn755bZuDQAAAABa2KSDuEsvvTQnnXRSvv71r6dfv36ZNm1attxyy/z85z9v69YAAAAAoIUt2rqB9bVixYrMnz8/48ePL62VlZVl8ODBqa2tXes5jY2NaWxsLL1eunRpkmTx4sVpamrasA1vIpqamrJ8+fL8/e9/T4cOHdq6nc2aWRdr9by3aCrLylXt2rqddfL3v/+9rVtYZ57vYpn3ml577bUkSXNzcxt3AgAAb9lkg7i//e1vWblyZSoqKlqsV1RU5JlnnlnrOZMmTcq55567xnqfPn02SI8ArWG7S9q6A9h0vfbaa+nWrVtbtwEAAEk24SBufYwfPz7jxo0rvV61alUWL16cbbfdNu3abVo7ZDaUhoaG9O7dO3/5y19SXl7e1u1s1sy6WOZdLPMulnmvqbm5Oa+99lp69erV1q0AAEDJJhvEbbfddmnfvn3q6+tbrNfX16eysnKt53Tq1CmdOnVqsda9e/cN1eImrby83C9zBTHrYpl3scy7WObdkp1wAABsbDbZL2vo2LFj+vfvn7lz55bWVq1alblz56aqqqoNOwMAAACANW2yO+KSZNy4cRkxYkQGDBiQfffdN1OmTMmyZcvy9a9/va1bAwAAAIAWNukg7stf/nJeeeWVTJgwIXV1ddl7770ze/bsNb7AgfevU6dOOfvss9d4Cy+tz6yLZd7FMu9imTcAAGwa2jU3Nze3dRMAAAAAsLnbZD8jDgAAAAA2JYI4AAAAACiAIA4AAAAACiCIAwAAAIACCOI+5BYvXpzhw4envLw83bt3z8iRI/P666+/r3Obm5vzuc99Lu3atcutt966YRvdTKzrvBcvXpxTTz01n/jEJ9KlS5fsuOOO+fa3v52lS5cW2PWmY+rUqdl5553TuXPnDBw4MA899NB71t98883Zbbfd0rlz5+yxxx654447Cup087Au8/7JT36S/fffP9tss0222WabDB48+J/++9DSuj7fq910001p165djjrqqA3bIAAA8E8J4j7khg8fnoULF6ampiazZs3KPffck1GjRr2vc6dMmZJ27dpt4A43L+s675deeikvvfRSLr744ixYsCDTp0/P7NmzM3LkyAK73jTMnDkz48aNy9lnn51HH300e+21V6qrq/Pyyy+vtf7+++/Pcccdl5EjR+axxx7LUUcdlaOOOioLFiwouPNN07rO+6677spxxx2X//7v/05tbW169+6dIUOG5MUXXyy4803Tus57teeffz7/7//9v+y///4FdQoAALyXds3Nzc1t3QRt4+mnn06/fv3y8MMPZ8CAAUmS2bNn5/DDD89f//rX9OrV613Pffzxx3PEEUfkkUceyQ477JBbbrnFbot/4oPM++1uvvnmfOUrX8myZcuyxRZbbMiWNykDBw7Mpz/96Vx11VVJklWrVqV379459dRTc+aZZ65R/+UvfznLli3LrFmzSmuDBg3K3nvvnWnTphXW96ZqXef9TitXrsw222yTq666KieccMKGbneTtz7zXrlyZQ444IB84xvfyL333pslS5bYvQwAAG3MjrgPsdra2nTv3r0UCiXJ4MGDU1ZWlgcffPBdz1u+fHmOP/74TJ06NZWVlUW0ullY33m/09KlS1NeXi6Ee5sVK1Zk/vz5GTx4cGmtrKwsgwcPTm1t7VrPqa2tbVGfJNXV1e9az1vWZ97vtHz58jQ1NaVHjx4bqs3NxvrOe+LEienZs6cdtAAAsBHxm/yHWF1dXXr27NlibYsttkiPHj1SV1f3ruedfvrp2W+//XLkkUdu6BY3K+s777f729/+lvPOO+99v334w+Jvf/tbVq5cmYqKihbrFRUVeeaZZ9Z6Tl1d3Vrr3++/xYfZ+sz7nb773e+mV69ea4ShrGl95n3fffflZz/7WR5//PECOgQAAN4vO+I2Q2eeeWbatWv3nn/e7y/L73Tbbbdl3rx5mTJlSus2vQnbkPN+u4aGhgwdOjT9+vXLOeec88EbhzZy4YUX5qabbsott9ySzp07t3U7m53XXnstX/3qV/OTn/wk2223XVu3AwAAvI0dcZuhf/u3f8vXvva196z52Mc+lsrKyjU+6PvNN9/M4sWL3/Utp/Pmzcuf/vSndO/evcX6sGHDsv/+++euu+76AJ1vmjbkvFd77bXXcthhh2XrrbfOLbfckg4dOnzQtjcr2223Xdq3b5/6+voW6/X19e8628rKynWq5y3rM+/VLr744lx44YX57W9/mz333HNDtrnZWNd5/+lPf8rzzz+fz3/+86W1VatWJfnHLtxFixZll1122bBNAwAAayWI2wxtv/322X777f9pXVVVVZYsWZL58+enf//+Sf4RtK1atSoDBw5c6zlnnnlmTjzxxBZre+yxRy677LIWv/R9mGzIeSf/2AlXXV2dTp065bbbbrODaC06duyY/v37Z+7cuaUvDVm1alXmzp2bMWPGrPWcqqqqzJ07N2PHji2t1dTUpKqqqoCON23rM+8kmTx5ci644ILceeedLT4rkfe2rvPebbfd8uSTT7ZYO+uss/Laa6/l8ssvT+/evYtoGwAAWAtB3IdY3759c9hhh+Wkk07KtGnT0tTUlDFjxuTYY48tfYPniy++mEMOOSTXX3999t1331RWVq51B8aOO+6YPn36FH0Lm5T1mXdDQ0OGDBmS5cuX54YbbkhDQ0MaGhqS/CMAbN++fVve0kZl3LhxGTFiRAYMGJB99903U6ZMybJly/L1r389SXLCCSfkIx/5SCZNmpQkOe200/Kv//qvueSSSzJ06NDcdNNNeeSRR3Lttde25W1sMtZ13hdddFEmTJiQGTNmZOeddy59Fl/Xrl3TtWvXNruPTcW6zLtz587ZfffdW5y/ehfzO9cBAIBiCeI+5G688caMGTMmhxxySMrKyjJs2LBcccUVpeNNTU1ZtGhRli9f3oZdbj7Wdd6PPvpo6RtVd9111xbXeu6557LzzjsX1vvG7stf/nJeeeWVTJgwIXV1ddl7770ze/bs0gfcv/DCCykre+tjMffbb7/MmDEjZ511Vr73ve/l4x//eG699VZBxfu0rvO++uqrs2LFihx99NEtrnP22Wf7zMP3YV3nDQAAbJzaNTc3N7d1EwAAAACwufO/zwEAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMA1ur555/PyJEj06dPn3Tp0iW77LJLzj777KxYseI9z3vjjTcyevTobLvttunatWuGDRuW+vr60vEnnngixx13XHr37p0uXbqkb9++ufzyy9e5v29+85vZZZdd0qVLl2y//fY58sgj88wzz6zzdQAAoCiCOAD4kDvwwAMzffr0NdafeeaZrFq1Ktdcc00WLlyYyy67LNOmTcv3vve997ze6aefnl//+te5+eabc/fdd+ell17KF7/4xdLx+fPnp2fPnrnhhhuycOHCfP/738/48eNz1VVXrVPf/fv3z3XXXZenn346d955Z5qbmzNkyJCsXLlyna4DAABFadfc3Nzc1k0AAG3nwAMPzNe+9rV87Wtf+6e1P/rRj3L11Vfnz3/+81qPL126NNtvv31mzJiRo48+Osk/Ar2+ffumtrY2gwYNWut5o0ePztNPP5158+aV1n71q1/l3HPPzVNPPZVevXplxIgR+f73v58ttthirdf4/e9/n7322ivPPvtsdtlll396LwAAUDQ74gCA923p0qXp0aPHux6fP39+mpqaMnjw4NLabrvtlh133DG1tbXv+7r33ntvTjjhhJx22ml56qmncs0112T69Om54IIL1nr+smXLct1116VPnz7p3bv3etwZAABseII4AOB9efbZZ3PllVfmm9/85rvW1NXVpWPHjunevXuL9YqKitTV1a31nPvvvz8zZ87MqFGjSmvnnntuzjzzzIwYMSIf+9jHcuihh+a8887LNddc0+LcH//4x+natWu6du2a3/zmN6mpqUnHjh3X/yYBAGADEsQBwIfMD3/4w1J41bVr19x77705+eSTW6y98MILLc558cUXc9hhh+WYY47JSSed1Gq9LFiwIEceeWTOPvvsDBkypLT+xBNPZOLEiS16Oumkk/K///u/Wb58ealu+PDheeyxx3L33XfnX/7lX/KlL30pb7zxRqv1BwAArWntH7ICAGy2Tj755HzpS18qvR4+fHiGDRvW4gsVevXqVfr7Sy+9lIMOOij77bdfrr322ve8dmVlZVasWJElS5a02BVXX1+fysrKFrVPPfVUDjnkkIwaNSpnnXVWi2Ovv/56zj333BY9rda5c+fS37t165Zu3brl4x//eAYNGpRtttkmt9xyS4477rj3HgIAALQBQRwAfMj06NGjxeexdenSJT179syuu+66Ru2LL76Ygw46qPQNpWVl772Zvn///unQoUPmzp2bYcOGJUkWLVqUF154IVVVVaW6hQsX5uCDD86IESPW+rlv++yzTxYtWrTWnt5Nc3Nzmpub09jY+L7PAQCAIgniAIC1evHFF3PggQdmp512ysUXX5xXXnmldGz17rYXX3wxhxxySK6//vrsu+++6datW0aOHJlx48alR48eKS8vz6mnnpqqqqrSN6YuWLAgBx98cKqrqzNu3LjSZ8e1b98+22+/fZJkwoQJOeKII7Ljjjvm6KOPTllZWZ544oksWLAg559/fv785z9n5syZGTJkSLbffvv89a9/zYUXXpguXbrk8MMPL3hSAADw/gjiAIC1qqmpybPPPptnn302H/3oR1sca25uTpI0NTVl0aJFLT637bLLLktZWVmGDRuWxsbGVFdX58c//nHp+H/8x3/klVdeyQ033JAbbrihtL7TTjvl+eefT5JUV1dn1qxZmThxYi666KJ06NAhu+22W0488cQk/3h76r333pspU6bk1VdfTUVFRQ444IDcf//96dmz54YaCQAAfCDtmlf/lzQAAAAAsMH41lQAAAAAKIAgDgAAAAAKIIgDAAAAgAII4gAAAACgAII4AAAAACiAIA4AAAAACiCIAwAAAIACCOIAAAAAoACCOAAAAAAogCAOAAAAAAogiAMAAACAAgjiAAAAAKAA/x/G6fNS8pYqaAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1500x1500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist(figsize = (15,15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "fdff4293",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10000, 22)\n",
      "(0, 22)\n"
     ]
    }
   ],
   "source": [
    "#check for outliers and remove\n",
    "from scipy import stats\n",
    "\n",
    "print(df.shape)\n",
    "df = df[(np.abs(stats.zscore(df.select_dtypes(include=np.number))) < 3).all(axis=1)]\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "22854f55",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv('2020GeneralPaymentData_prep.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "929af791",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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