2020ResearchPaymentData.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "158baf81",
   "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": 78,
   "id": "bad2ecd6",
   "metadata": {},
   "outputs": [],
   "source": [
    "file_path = \"/Users/igmark/Desktop/DS4A_Data/2020paymentdata.csv\"\n",
    "df = pd.read_csv(file_path, nrows=10000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "69b8722d",
   "metadata": {},
   "outputs": [
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       "      <td>Gaucher LSD Data Registry</td>\n",
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       "      <td>1/20/23</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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      ],
      "text/plain": [
       "     Change_Type               Covered_Recipient_Type  \\\n",
       "0      UNCHANGED          Covered Recipient Physician   \n",
       "1      UNCHANGED          Covered Recipient Physician   \n",
       "2      UNCHANGED  Covered Recipient Teaching Hospital   \n",
       "3      UNCHANGED  Covered Recipient Teaching Hospital   \n",
       "4      UNCHANGED          Covered Recipient Physician   \n",
       "...          ...                                  ...   \n",
       "9995   UNCHANGED  Covered Recipient Teaching Hospital   \n",
       "9996   UNCHANGED          Covered Recipient Physician   \n",
       "9997   UNCHANGED  Covered Recipient Teaching Hospital   \n",
       "9998   UNCHANGED          Covered Recipient Physician   \n",
       "9999   UNCHANGED  Covered Recipient Teaching Hospital   \n",
       "\n",
       "      Noncovered_Recipient_Entity_Name  Teaching_Hospital_CCN  \\\n",
       "0                                  NaN                    NaN   \n",
       "1                                  NaN                    NaN   \n",
       "2                                  NaN               240010.0   \n",
       "3                                  NaN               100069.0   \n",
       "4                                  NaN                    NaN   \n",
       "...                                ...                    ...   \n",
       "9995                               NaN               500054.0   \n",
       "9996                               NaN                    NaN   \n",
       "9997                               NaN               500129.0   \n",
       "9998                               NaN                    NaN   \n",
       "9999                               NaN               240047.0   \n",
       "\n",
       "      Teaching_Hospital_ID             Teaching_Hospital_Name  \\\n",
       "0                      NaN                                NaN   \n",
       "1                      NaN                                NaN   \n",
       "2                   9232.0     MAYO CLINIC HOSPITAL ROCHESTER   \n",
       "3                   9465.0           Adventhealth Carrollwood   \n",
       "4                      NaN                                NaN   \n",
       "...                    ...                                ...   \n",
       "9995                9130.0   Prov Sacred Heart Medical Center   \n",
       "9996                   NaN                                NaN   \n",
       "9997                9822.0  Tacoma General Allenmore Hospital   \n",
       "9998                   NaN                                NaN   \n",
       "9999                9229.0       St. Lukes Hospital Of Duluth   \n",
       "\n",
       "      Covered_Recipient_Profile_ID  Covered_Recipient_NPI  \\\n",
       "0                         168518.0           1.700877e+09   \n",
       "1                        1047788.0           1.043262e+09   \n",
       "2                              NaN                    NaN   \n",
       "3                              NaN                    NaN   \n",
       "4                        1154002.0           1.770519e+09   \n",
       "...                            ...                    ...   \n",
       "9995                           NaN                    NaN   \n",
       "9996                      303222.0           1.679551e+09   \n",
       "9997                           NaN                    NaN   \n",
       "9998                       76285.0           1.679590e+09   \n",
       "9999                           NaN                    NaN   \n",
       "\n",
       "     Covered_Recipient_First_Name Covered_Recipient_Middle_Name  ...  \\\n",
       "0                          ANDRES                           NaN  ...   \n",
       "1                          EUGENE                           NaN  ...   \n",
       "2                             NaN                           NaN  ...   \n",
       "3                             NaN                           NaN  ...   \n",
       "4                           Linda                           Sue  ...   \n",
       "...                           ...                           ...  ...   \n",
       "9995                          NaN                           NaN  ...   \n",
       "9996                      BRADLEY                             S  ...   \n",
       "9997                          NaN                           NaN  ...   \n",
       "9998                         LUIS                             A  ...   \n",
       "9999                          NaN                           NaN  ...   \n",
       "\n",
       "     Delay_in_Publication_Indicator  \\\n",
       "0                                No   \n",
       "1                                No   \n",
       "2                                No   \n",
       "3                                No   \n",
       "4                                No   \n",
       "...                             ...   \n",
       "9995                             No   \n",
       "9996                             No   \n",
       "9997                             No   \n",
       "9998                             No   \n",
       "9999                             No   \n",
       "\n",
       "                                          Name_of_Study  \\\n",
       "0     A 56-week, Multicenter, Open-label, Active-con...   \n",
       "1     Preliminary Safety and Efficacy of the PDS-1.0...   \n",
       "2     A RANDOMIZED PHASE II TRIAL TO EVALUATE ALISER...   \n",
       "3                                             BIO-LIBRA   \n",
       "4                                                   NaN   \n",
       "...                                                 ...   \n",
       "9995            Phase IIb/III efficacy and safety study   \n",
       "9996  Non-dispensing Clinical Performance Evaluation...   \n",
       "9997                          Gaucher LSD Data Registry   \n",
       "9998         (12-002) Zenith p-Branch Multicenter Study   \n",
       "9999  A Phase 3 study comparing daratumumab . Lenali...   \n",
       "\n",
       "     Dispute_Status_for_Publication  Record_ID Program_Year  \\\n",
       "0                                No  744032425         2020   \n",
       "1                                No  742979910         2020   \n",
       "2                                No  737063163         2020   \n",
       "3                                No  751905067         2020   \n",
       "4                                No  717284543         2020   \n",
       "...                             ...        ...          ...   \n",
       "9995                             No  749821823         2020   \n",
       "9996                             No  733464167         2020   \n",
       "9997                             No  744081771         2020   \n",
       "9998                             No  748760887         2020   \n",
       "9999                             No  719479513         2020   \n",
       "\n",
       "     Payment_Publication_Date ClinicalTrials_Gov_Identifier  \\\n",
       "0                     1/20/23                           NaN   \n",
       "1                     1/20/23                           NaN   \n",
       "2                     1/20/23                           NaN   \n",
       "3                     1/20/23                           NaN   \n",
       "4                     1/20/23                           NaN   \n",
       "...                       ...                           ...   \n",
       "9995                  1/20/23                           NaN   \n",
       "9996                  1/20/23                           NaN   \n",
       "9997                  1/20/23                           NaN   \n",
       "9998                  1/20/23                           NaN   \n",
       "9999                  1/20/23                           NaN   \n",
       "\n",
       "     Research_Information_Link  Context_of_Research  Unnamed: 252  \n",
       "0                          NaN                  NaN           NaN  \n",
       "1                          NaN                  NaN           NaN  \n",
       "2                          NaN                  NaN           NaN  \n",
       "3                          NaN                  NaN           NaN  \n",
       "4                          NaN                  NaN           NaN  \n",
       "...                        ...                  ...           ...  \n",
       "9995                       NaN                  NaN           NaN  \n",
       "9996                       NaN                  NaN           NaN  \n",
       "9997                       NaN                  NaN           NaN  \n",
       "9998                       NaN                  NaN           NaN  \n",
       "9999                       NaN                  NaN           NaN  \n",
       "\n",
       "[10000 rows x 253 columns]"
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     "execution_count": 79,
     "metadata": {},
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   "source": [
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  },
  {
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10000 entries, 0 to 9999\n",
      "Data columns (total 253 columns):\n",
      " #    Column                                                            Dtype  \n",
      "---   ------                                                            -----  \n",
      " 0    Change_Type                                                       object \n",
      " 1    Covered_Recipient_Type                                            object \n",
      " 2    Noncovered_Recipient_Entity_Name                                  float64\n",
      " 3    Teaching_Hospital_CCN                                             float64\n",
      " 4    Teaching_Hospital_ID                                              float64\n",
      " 5    Teaching_Hospital_Name                                            object \n",
      " 6    Covered_Recipient_Profile_ID                                      float64\n",
      " 7    Covered_Recipient_NPI                                             float64\n",
      " 8    Covered_Recipient_First_Name                                      object \n",
      " 9    Covered_Recipient_Middle_Name                                     object \n",
      " 10   Covered_Recipient_Last_Name                                       object \n",
      " 11   Covered_Recipient_Name_Suffix                                     object \n",
      " 12   Recipient_Primary_Business_Street_Address_Line1                   object \n",
      " 13   Recipient_Primary_Business_Street_Address_Line2                   object \n",
      " 14   Recipient_City                                                    object \n",
      " 15   Recipient_State                                                   object \n",
      " 16   Recipient_Zip_Code                                                object \n",
      " 17   Recipient_Country                                                 object \n",
      " 18   Recipient_Province                                                float64\n",
      " 19   Recipient_Postal_Code                                             float64\n",
      " 20   Covered_Recipient_Primary_Type_1                                  object \n",
      " 21   Covered_Recipient_Primary_Type_2                                  float64\n",
      " 22   Covered_Recipient_Primary_Type_3                                  float64\n",
      " 23   Covered_Recipient_Primary_Type_4                                  float64\n",
      " 24   Covered_Recipient_Primary_Type_5                                  float64\n",
      " 25   Covered_Recipient_Primary_Type_6                                  float64\n",
      " 26   Covered_Recipient_Specialty_1                                     object \n",
      " 27   Covered_Recipient_Specialty_2                                     float64\n",
      " 28   Covered_Recipient_Specialty_3                                     float64\n",
      " 29   Covered_Recipient_Specialty_4                                     float64\n",
      " 30   Covered_Recipient_Specialty_5                                     float64\n",
      " 31   Covered_Recipient_Specialty_6                                     float64\n",
      " 32   Covered_Recipient_License_State_code1                             object \n",
      " 33   Covered_Recipient_License_State_code2                             object \n",
      " 34   Covered_Recipient_License_State_code3                             object \n",
      " 35   Covered_Recipient_License_State_code4                             float64\n",
      " 36   Covered_Recipient_License_State_code5                             float64\n",
      " 37   Principal_Investigator_1_Covered_Recipient_Type                   object \n",
      " 38   Principal_Investigator_1_Profile_ID                               float64\n",
      " 39   Principal_Investigator_1_NPI                                      float64\n",
      " 40   Principal_Investigator_1_First_Name                               object \n",
      " 41   Principal_Investigator_1_Middle_Name                              object \n",
      " 42   Principal_Investigator_1_Last_Name                                object \n",
      " 43   Principal_Investigator_1_Name_Suffix                              object \n",
      " 44   Principal_Investigator_1_Business_Street_Address_Line1            object \n",
      " 45   Principal_Investigator_1_Business_Street_Address_Line2            object \n",
      " 46   Principal_Investigator_1_City                                     object \n",
      " 47   Principal_Investigator_1_State                                    object \n",
      " 48   Principal_Investigator_1_Zip_Code                                 object \n",
      " 49   Principal_Investigator_1_Country                                  object \n",
      " 50   Principal_Investigator_1_Province                                 float64\n",
      " 51   Principal_Investigator_1_Postal_Code                              float64\n",
      " 52   Principal_Investigator_1_Primary_Type_1                           object \n",
      " 53   Principal_Investigator_1_Primary_Type_2                           float64\n",
      " 54   Principal_Investigator_1_Primary_Type_3                           float64\n",
      " 55   Principal_Investigator_1_Primary_Type_4                           float64\n",
      " 56   Principal_Investigator_1_Primary_Type_5                           float64\n",
      " 57   Principal_Investigator_1_Primary_Type_6                           float64\n",
      " 58   Principal_Investigator_1_Specialty_1                              object \n",
      " 59   Principal_Investigator_1_Specialty_2                              float64\n",
      " 60   Principal_Investigator_1_Specialty_3                              float64\n",
      " 61   Principal_Investigator_1_Specialty_4                              float64\n",
      " 62   Principal_Investigator_1_Specialty_5                              float64\n",
      " 63   Principal_Investigator_1_Specialty_6                              float64\n",
      " 64   Principal_Investigator_1_License_State_code1                      object \n",
      " 65   Principal_Investigator_1_License_State_code2                      object \n",
      " 66   Principal_Investigator_1_License_State_code3                      object \n",
      " 67   Principal_Investigator_1_License_State_code4                      object \n",
      " 68   Principal_Investigator_1_License_State_code5                      float64\n",
      " 69   Principal_Investigator_2_Covered_Recipient_Type                   object \n",
      " 70   Principal_Investigator_2_Profile_ID                               float64\n",
      " 71   Principal_Investigator_2_NPI                                      float64\n",
      " 72   Principal_Investigator_2_First_Name                               object \n",
      " 73   Principal_Investigator_2_Middle_Name                              object \n",
      " 74   Principal_Investigator_2_Last_Name                                object \n",
      " 75   Principal_Investigator_2_Name_Suffix                              float64\n",
      " 76   Principal_Investigator_2_Business_Street_Address_Line1            object \n",
      " 77   Principal_Investigator_2_Business_Street_Address_Line2            object \n",
      " 78   Principal_Investigator_2_City                                     object \n",
      " 79   Principal_Investigator_2_State                                    object \n",
      " 80   Principal_Investigator_2_Zip_Code                                 object \n",
      " 81   Principal_Investigator_2_Country                                  object \n",
      " 82   Principal_Investigator_2_Province                                 float64\n",
      " 83   Principal_Investigator_2_Postal_Code                              float64\n",
      " 84   Principal_Investigator_2_Primary_Type_1                           object \n",
      " 85   Principal_Investigator_2_Primary_Type_2                           float64\n",
      " 86   Principal_Investigator_2_Primary_Type_3                           float64\n",
      " 87   Principal_Investigator_2_Primary_Type_4                           float64\n",
      " 88   Principal_Investigator_2_Primary_Type_5                           float64\n",
      " 89   Principal_Investigator_2_Primary_Type_6                           float64\n",
      " 90   Principal_Investigator_2_Specialty_1                              object \n",
      " 91   Principal_Investigator_2_Specialty_2                              float64\n",
      " 92   Principal_Investigator_2_Specialty_3                              float64\n",
      " 93   Principal_Investigator_2_Specialty_4                              float64\n",
      " 94   Principal_Investigator_2_Specialty_5                              float64\n",
      " 95   Principal_Investigator_2_Specialty_6                              float64\n",
      " 96   Principal_Investigator_2_License_State_code1                      object \n",
      " 97   Principal_Investigator_2_License_State_code2                      float64\n",
      " 98   Principal_Investigator_2_License_State_code3                      float64\n",
      " 99   Principal_Investigator_2_License_State_code4                      float64\n",
      " 100  Principal_Investigator_2_License_State_code5                      float64\n",
      " 101  Principal_Investigator_3_Covered_Recipient_Type                   float64\n",
      " 102  Principal_Investigator_3_Profile_ID                               float64\n",
      " 103  Principal_Investigator_3_NPI                                      float64\n",
      " 104  Principal_Investigator_3_First_Name                               float64\n",
      " 105  Principal_Investigator_3_Middle_Name                              float64\n",
      " 106  Principal_Investigator_3_Last_Name                                float64\n",
      " 107  Principal_Investigator_3_Name_Suffix                              float64\n",
      " 108  Principal_Investigator_3_Business_Street_Address_Line1            float64\n",
      " 109  Principal_Investigator_3_Business_Street_Address_Line2            float64\n",
      " 110  Principal_Investigator_3_City                                     float64\n",
      " 111  Principal_Investigator_3_State                                    float64\n",
      " 112  Principal_Investigator_3_Zip_Code                                 float64\n",
      " 113  Principal_Investigator_3_Country                                  float64\n",
      " 114  Principal_Investigator_3_Province                                 float64\n",
      " 115  Principal_Investigator_3_Postal_Code                              float64\n",
      " 116  Principal_Investigator_3_Primary_Type_1                           float64\n",
      " 117  Principal_Investigator_3_Primary_Type_2                           float64\n",
      " 118  Principal_Investigator_3_Primary_Type_3                           float64\n",
      " 119  Principal_Investigator_3_Primary_Type_4                           float64\n",
      " 120  Principal_Investigator_3_Primary_Type_5                           float64\n",
      " 121  Principal_Investigator_3_Primary_Type_6                           float64\n",
      " 122  Principal_Investigator_3_Specialty_1                              float64\n",
      " 123  Principal_Investigator_3_Specialty_2                              float64\n",
      " 124  Principal_Investigator_3_Specialty_3                              float64\n",
      " 125  Principal_Investigator_3_Specialty_4                              float64\n",
      " 126  Principal_Investigator_3_Specialty_5                              float64\n",
      " 127  Principal_Investigator_3_Specialty_6                              float64\n",
      " 128  Principal_Investigator_3_License_State_code1                      float64\n",
      " 129  Principal_Investigator_3_License_State_code2                      float64\n",
      " 130  Principal_Investigator_3_License_State_code3                      float64\n",
      " 131  Principal_Investigator_3_License_State_code4                      float64\n",
      " 132  Principal_Investigator_3_License_State_code5                      float64\n",
      " 133  Principal_Investigator_4_Covered_Recipient_Type                   float64\n",
      " 134  Principal_Investigator_4_Profile_ID                               float64\n",
      " 135  Principal_Investigator_4_NPI                                      float64\n",
      " 136  Principal_Investigator_4_First_Name                               float64\n",
      " 137  Principal_Investigator_4_Middle_Name                              float64\n",
      " 138  Principal_Investigator_4_Last_Name                                float64\n",
      " 139  Principal_Investigator_4_Name_Suffix                              float64\n",
      " 140  Principal_Investigator_4_Business_Street_Address_Line1            float64\n",
      " 141  Principal_Investigator_4_Business_Street_Address_Line2            float64\n",
      " 142  Principal_Investigator_4_City                                     float64\n",
      " 143  Principal_Investigator_4_State                                    float64\n",
      " 144  Principal_Investigator_4_Zip_Code                                 float64\n",
      " 145  Principal_Investigator_4_Country                                  float64\n",
      " 146  Principal_Investigator_4_Province                                 float64\n",
      " 147  Principal_Investigator_4_Postal_Code                              float64\n",
      " 148  Principal_Investigator_4_Primary_Type_1                           float64\n",
      " 149  Principal_Investigator_4_Primary_Type_2                           float64\n",
      " 150  Principal_Investigator_4_Primary_Type_3                           float64\n",
      " 151  Principal_Investigator_4_Primary_Type_4                           float64\n",
      " 152  Principal_Investigator_4_Primary_Type_5                           float64\n",
      " 153  Principal_Investigator_4_Primary_Type_6                           float64\n",
      " 154  Principal_Investigator_4_Specialty_1                              float64\n",
      " 155  Principal_Investigator_4_Specialty_2                              float64\n",
      " 156  Principal_Investigator_4_Specialty_3                              float64\n",
      " 157  Principal_Investigator_4_Specialty_4                              float64\n",
      " 158  Principal_Investigator_4_Specialty_5                              float64\n",
      " 159  Principal_Investigator_4_Specialty_6                              float64\n",
      " 160  Principal_Investigator_4_License_State_code1                      float64\n",
      " 161  Principal_Investigator_4_License_State_code2                      float64\n",
      " 162  Principal_Investigator_4_License_State_code3                      float64\n",
      " 163  Principal_Investigator_4_License_State_code4                      float64\n",
      " 164  Principal_Investigator_4_License_State_code5                      float64\n",
      " 165  Principal_Investigator_5_Covered_Recipient_Type                   float64\n",
      " 166  Principal_Investigator_5_Profile_ID                               float64\n",
      " 167  Principal_Investigator_5_NPI                                      float64\n",
      " 168  Principal_Investigator_5_First_Name                               float64\n",
      " 169  Principal_Investigator_5_Middle_Name                              float64\n",
      " 170  Principal_Investigator_5_Last_Name                                float64\n",
      " 171  Principal_Investigator_5_Name_Suffix                              float64\n",
      " 172  Principal_Investigator_5_Business_Street_Address_Line1            float64\n",
      " 173  Principal_Investigator_5_Business_Street_Address_Line2            float64\n",
      " 174  Principal_Investigator_5_City                                     float64\n",
      " 175  Principal_Investigator_5_State                                    float64\n",
      " 176  Principal_Investigator_5_Zip_Code                                 float64\n",
      " 177  Principal_Investigator_5_Country                                  float64\n",
      " 178  Principal_Investigator_5_Province                                 float64\n",
      " 179  Principal_Investigator_5_Postal_Code                              float64\n",
      " 180  Principal_Investigator_5_Primary_Type_1                           float64\n",
      " 181  Principal_Investigator_5_Primary_Type_2                           float64\n",
      " 182  Principal_Investigator_5_Primary_Type_3                           float64\n",
      " 183  Principal_Investigator_5_Primary_Type_4                           float64\n",
      " 184  Principal_Investigator_5_Primary_Type_5                           float64\n",
      " 185  Principal_Investigator_5_Primary_Type_6                           float64\n",
      " 186  Principal_Investigator_5_Specialty_1                              float64\n",
      " 187  Principal_Investigator_5_Specialty_2                              float64\n",
      " 188  Principal_Investigator_5_Specialty_3                              float64\n",
      " 189  Principal_Investigator_5_Specialty_4                              float64\n",
      " 190  Principal_Investigator_5_Specialty_5                              float64\n",
      " 191  Principal_Investigator_5_Specialty_6                              float64\n",
      " 192  Principal_Investigator_5_License_State_code1                      float64\n",
      " 193  Principal_Investigator_5_License_State_code2                      float64\n",
      " 194  Principal_Investigator_5_License_State_code3                      float64\n",
      " 195  Principal_Investigator_5_License_State_code4                      float64\n",
      " 196  Principal_Investigator_5_License_State_code5                      float64\n",
      " 197  Submitting_Applicable_Manufacturer_or_Applicable_GPO_Name         object \n",
      " 198  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_ID       float64\n",
      " 199  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Name     object \n",
      " 200  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_State    object \n",
      " 201  Applicable_Manufacturer_or_Applicable_GPO_Making_Payment_Country  object \n",
      " 202  Related_Product_Indicator                                         object \n",
      " 203  Covered_or_Noncovered_Indicator_1                                 object \n",
      " 204  Indicate_Drug_or_Biological_or_Device_or_Medical_Supply_1         object \n",
      " 205  Product_Category_or_Therapeutic_Area_1                            object \n",
      " 206  Name_of_Drug_or_Biological_or_Device_or_Medical_Supply_1          object \n",
      " 207  Associated_Drug_or_Biological_NDC_1                               object \n",
      " 208  Associated_Device_or_Medical_Supply_PDI_1                         float64\n",
      " 209  Covered_or_Noncovered_Indicator_2                                 object \n",
      " 210  Indicate_Drug_or_Biological_or_Device_or_Medical_Supply_2         object \n",
      " 211  Product_Category_or_Therapeutic_Area_2                            object \n",
      " 212  Name_of_Drug_or_Biological_or_Device_or_Medical_Supply_2          object \n",
      " 213  Associated_Drug_or_Biological_NDC_2                               object \n",
      " 214  Associated_Device_or_Medical_Supply_PDI_2                         float64\n",
      " 215  Covered_or_Noncovered_Indicator_3                                 object \n",
      " 216  Indicate_Drug_or_Biological_or_Device_or_Medical_Supply_3         object \n",
      " 217  Product_Category_or_Therapeutic_Area_3                            object \n",
      " 218  Name_of_Drug_or_Biological_or_Device_or_Medical_Supply_3          object \n",
      " 219  Associated_Drug_or_Biological_NDC_3                               object \n",
      " 220  Associated_Device_or_Medical_Supply_PDI_3                         float64\n",
      " 221  Covered_or_Noncovered_Indicator_4                                 object \n",
      " 222  Indicate_Drug_or_Biological_or_Device_or_Medical_Supply_4         object \n",
      " 223  Product_Category_or_Therapeutic_Area_4                            object \n",
      " 224  Name_of_Drug_or_Biological_or_Device_or_Medical_Supply_4          object \n",
      " 225  Associated_Drug_or_Biological_NDC_4                               object \n",
      " 226  Associated_Device_or_Medical_Supply_PDI_4                         float64\n",
      " 227  Covered_or_Noncovered_Indicator_5                                 object \n",
      " 228  Indicate_Drug_or_Biological_or_Device_or_Medical_Supply_5         object \n",
      " 229  Product_Category_or_Therapeutic_Area_5                            object \n",
      " 230  Name_of_Drug_or_Biological_or_Device_or_Medical_Supply_5          object \n",
      " 231  Associated_Drug_or_Biological_NDC_5                               object \n",
      " 232  Associated_Device_or_Medical_Supply_PDI_5                         float64\n",
      " 233  Total_Amount_of_Payment_USDollars                                 float64\n",
      " 234  Date_of_Payment                                                   object \n",
      " 235  Form_of_Payment_or_Transfer_of_Value                              object \n",
      " 236  Expenditure_Category1                                             object \n",
      " 237  Expenditure_Category2                                             object \n",
      " 238  Expenditure_Category3                                             object \n",
      " 239  Expenditure_Category4                                             object \n",
      " 240  Expenditure_Category5                                             object \n",
      " 241  Expenditure_Category6                                             object \n",
      " 242  Preclinical_Research_Indicator                                    object \n",
      " 243  Delay_in_Publication_Indicator                                    object \n",
      " 244  Name_of_Study                                                     object \n",
      " 245  Dispute_Status_for_Publication                                    object \n",
      " 246  Record_ID                                                         int64  \n",
      " 247  Program_Year                                                      int64  \n",
      " 248  Payment_Publication_Date                                          object \n",
      " 249  ClinicalTrials_Gov_Identifier                                     object \n",
      " 250  Research_Information_Link                                         object \n",
      " 251  Context_of_Research                                               object \n",
      " 252  Unnamed: 252                                                      float64\n",
      "dtypes: float64(157), int64(2), object(94)\n",
      "memory usage: 19.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info(file_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "863b404a",
   "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": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "5fbe9cce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Change_Type                             0\n",
       "Covered_Recipient_Type                  0\n",
       "Noncovered_Recipient_Entity_Name    10000\n",
       "Teaching_Hospital_CCN                2013\n",
       "Teaching_Hospital_ID                 2013\n",
       "                                    ...  \n",
       "Payment_Publication_Date                0\n",
       "ClinicalTrials_Gov_Identifier        7853\n",
       "Research_Information_Link            9654\n",
       "Context_of_Research                  7443\n",
       "Unnamed: 252                        10000\n",
       "Length: 253, dtype: int64"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "98c3c061",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.iloc[:, [1, 2, 3, 4, 5, 6, 7, 8, 10, 14, 15, 16, 20, 26, 233, 234, 246, 247, 248]]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "c7934da6",
   "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 19 columns):\n",
      " #   Column                             Non-Null Count  Dtype  \n",
      "---  ------                             --------------  -----  \n",
      " 0   Covered_Recipient_Type             10000 non-null  object \n",
      " 1   Noncovered_Recipient_Entity_Name   0 non-null      float64\n",
      " 2   Teaching_Hospital_CCN              7987 non-null   float64\n",
      " 3   Teaching_Hospital_ID               7987 non-null   float64\n",
      " 4   Teaching_Hospital_Name             7987 non-null   object \n",
      " 5   Covered_Recipient_Profile_ID       2013 non-null   float64\n",
      " 6   Covered_Recipient_NPI              2010 non-null   float64\n",
      " 7   Covered_Recipient_First_Name       2013 non-null   object \n",
      " 8   Covered_Recipient_Last_Name        2013 non-null   object \n",
      " 9   Recipient_City                     10000 non-null  object \n",
      " 10  Recipient_State                    10000 non-null  object \n",
      " 11  Recipient_Zip_Code                 10000 non-null  object \n",
      " 12  Covered_Recipient_Primary_Type_1   2013 non-null   object \n",
      " 13  Covered_Recipient_Specialty_1      2013 non-null   object \n",
      " 14  Total_Amount_of_Payment_USDollars  10000 non-null  float64\n",
      " 15  Date_of_Payment                    10000 non-null  object \n",
      " 16  Record_ID                          10000 non-null  int64  \n",
      " 17  Program_Year                       10000 non-null  int64  \n",
      " 18  Payment_Publication_Date           10000 non-null  object \n",
      "dtypes: float64(6), int64(2), object(11)\n",
      "memory usage: 1.4+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info(file_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "3a5fb0c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Covered_Recipient_Type', 'Noncovered_Recipient_Entity_Name',\n",
       "       'Teaching_Hospital_CCN', 'Teaching_Hospital_ID',\n",
       "       'Teaching_Hospital_Name', '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', 'Total_Amount_of_Payment_USDollars',\n",
       "       'Date_of_Payment', 'Record_ID', 'Program_Year',\n",
       "       'Payment_Publication_Date'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "64765d5f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Covered_Recipient_Type                   0\n",
       "Noncovered_Recipient_Entity_Name     10000\n",
       "Teaching_Hospital_CCN                 2013\n",
       "Teaching_Hospital_ID                  2013\n",
       "Teaching_Hospital_Name                2013\n",
       "Covered_Recipient_Profile_ID          7987\n",
       "Covered_Recipient_NPI                 7990\n",
       "Covered_Recipient_First_Name          7987\n",
       "Covered_Recipient_Last_Name           7987\n",
       "Recipient_City                           0\n",
       "Recipient_State                          0\n",
       "Recipient_Zip_Code                       0\n",
       "Covered_Recipient_Primary_Type_1      7987\n",
       "Covered_Recipient_Specialty_1         7987\n",
       "Total_Amount_of_Payment_USDollars        0\n",
       "Date_of_Payment                          0\n",
       "Record_ID                                0\n",
       "Program_Year                             0\n",
       "Payment_Publication_Date                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    " df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "558e626c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Recipient_Zip_Code'] = df['Recipient_Zip_Code'].astype(str).str[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "2aab5a99",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0       33026\n",
      "1       94143\n",
      "2       55902\n",
      "3       33614\n",
      "4       90004\n",
      "        ...  \n",
      "9995    99220\n",
      "9996    32792\n",
      "9997    98405\n",
      "9998    63110\n",
      "9999    55805\n",
      "Name: Recipient_Zip_Code, Length: 10000, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(df['Recipient_Zip_Code'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "fb851b47",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Total_Amount_of_Payment_USDollars'] = df['Total_Amount_of_Payment_USDollars'].round(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "9273fb80",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0       22499.91\n",
      "1        1801.10\n",
      "2       28723.50\n",
      "3          20.31\n",
      "4        5000.00\n",
      "          ...   \n",
      "9995       33.57\n",
      "9996     1898.00\n",
      "9997      516.00\n",
      "9998      680.00\n",
      "9999      250.00\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": 91,
   "id": "c3271321",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.fillna(\"Not available\", inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "e85ffc9b",
   "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>Covered_Recipient_Type</th>\n",
       "      <th>Noncovered_Recipient_Entity_Name</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_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>Covered_Recipient_Specialty_1</th>\n",
       "      <th>Total_Amount_of_Payment_USDollars</th>\n",
       "      <th>Date_of_Payment</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>Covered Recipient Physician</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>168518.0</td>\n",
       "      <td>1700876877.0</td>\n",
       "      <td>ANDRES</td>\n",
       "      <td>PATRON</td>\n",
       "      <td>Pembroke Pines</td>\n",
       "      <td>FL</td>\n",
       "      <td>33026</td>\n",
       "      <td>Doctor of Osteopathy</td>\n",
       "      <td>Allopathic &amp; Osteopathic Physicians|Internal M...</td>\n",
       "      <td>22499.91</td>\n",
       "      <td>8/3/20</td>\n",
       "      <td>744032425</td>\n",
       "      <td>2020</td>\n",
       "      <td>1/20/23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>1047788.0</td>\n",
       "      <td>1043262074.0</td>\n",
       "      <td>EUGENE</td>\n",
       "      <td>DE JUAN</td>\n",
       "      <td>SAN FRANCISCO</td>\n",
       "      <td>CA</td>\n",
       "      <td>94143</td>\n",
       "      <td>Medical Doctor</td>\n",
       "      <td>Allopathic &amp; Osteopathic Physicians|Ophthalmology</td>\n",
       "      <td>1801.10</td>\n",
       "      <td>6/30/20</td>\n",
       "      <td>742979910</td>\n",
       "      <td>2020</td>\n",
       "      <td>1/20/23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Covered Recipient Teaching Hospital</td>\n",
       "      <td>Not available</td>\n",
       "      <td>240010.0</td>\n",
       "      <td>9232.0</td>\n",
       "      <td>MAYO CLINIC HOSPITAL ROCHESTER</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Rochester</td>\n",
       "      <td>MN</td>\n",
       "      <td>55902</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>28723.50</td>\n",
       "      <td>2/24/20</td>\n",
       "      <td>737063163</td>\n",
       "      <td>2020</td>\n",
       "      <td>1/20/23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Covered Recipient Teaching Hospital</td>\n",
       "      <td>Not available</td>\n",
       "      <td>100069.0</td>\n",
       "      <td>9465.0</td>\n",
       "      <td>Adventhealth Carrollwood</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>TAMPA</td>\n",
       "      <td>FL</td>\n",
       "      <td>33614</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>20.31</td>\n",
       "      <td>4/14/20</td>\n",
       "      <td>751905067</td>\n",
       "      <td>2020</td>\n",
       "      <td>1/20/23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>1154002.0</td>\n",
       "      <td>1770518854.0</td>\n",
       "      <td>Linda</td>\n",
       "      <td>Sher</td>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>CA</td>\n",
       "      <td>90004</td>\n",
       "      <td>Doctor of Osteopathy</td>\n",
       "      <td>Allopathic &amp; Osteopathic Physicians|Transplant...</td>\n",
       "      <td>5000.00</td>\n",
       "      <td>6/30/20</td>\n",
       "      <td>717284543</td>\n",
       "      <td>2020</td>\n",
       "      <td>1/20/23</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9995</th>\n",
       "      <td>Covered Recipient Teaching Hospital</td>\n",
       "      <td>Not available</td>\n",
       "      <td>500054.0</td>\n",
       "      <td>9130.0</td>\n",
       "      <td>Prov Sacred Heart Medical Center</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Spokane</td>\n",
       "      <td>WA</td>\n",
       "      <td>99220</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>33.57</td>\n",
       "      <td>1/9/20</td>\n",
       "      <td>749821823</td>\n",
       "      <td>2020</td>\n",
       "      <td>1/20/23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9996</th>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>303222.0</td>\n",
       "      <td>1679551444.0</td>\n",
       "      <td>BRADLEY</td>\n",
       "      <td>GIEDD</td>\n",
       "      <td>WINTER PARK</td>\n",
       "      <td>FL</td>\n",
       "      <td>32792</td>\n",
       "      <td>Doctor of Optometry</td>\n",
       "      <td>Eye and Vision Services Providers|Optometrist</td>\n",
       "      <td>1898.00</td>\n",
       "      <td>11/11/20</td>\n",
       "      <td>733464167</td>\n",
       "      <td>2020</td>\n",
       "      <td>1/20/23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9997</th>\n",
       "      <td>Covered Recipient Teaching Hospital</td>\n",
       "      <td>Not available</td>\n",
       "      <td>500129.0</td>\n",
       "      <td>9822.0</td>\n",
       "      <td>Tacoma General Allenmore Hospital</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>TACOMA</td>\n",
       "      <td>WA</td>\n",
       "      <td>98405</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>516.00</td>\n",
       "      <td>8/24/20</td>\n",
       "      <td>744081771</td>\n",
       "      <td>2020</td>\n",
       "      <td>1/20/23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9998</th>\n",
       "      <td>Covered Recipient Physician</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>76285.0</td>\n",
       "      <td>1679590111.0</td>\n",
       "      <td>LUIS</td>\n",
       "      <td>SANCHEZ</td>\n",
       "      <td>SAINT LOUIS</td>\n",
       "      <td>MO</td>\n",
       "      <td>63110</td>\n",
       "      <td>Medical Doctor</td>\n",
       "      <td>Allopathic &amp; Osteopathic Physicians|Surgery|Va...</td>\n",
       "      <td>680.00</td>\n",
       "      <td>3/24/20</td>\n",
       "      <td>748760887</td>\n",
       "      <td>2020</td>\n",
       "      <td>1/20/23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9999</th>\n",
       "      <td>Covered Recipient Teaching Hospital</td>\n",
       "      <td>Not available</td>\n",
       "      <td>240047.0</td>\n",
       "      <td>9229.0</td>\n",
       "      <td>St. Lukes Hospital Of Duluth</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Duluth</td>\n",
       "      <td>MN</td>\n",
       "      <td>55805</td>\n",
       "      <td>Not available</td>\n",
       "      <td>Not available</td>\n",
       "      <td>250.00</td>\n",
       "      <td>11/5/20</td>\n",
       "      <td>719479513</td>\n",
       "      <td>2020</td>\n",
       "      <td>1/20/23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10000 rows × 19 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Covered_Recipient_Type Noncovered_Recipient_Entity_Name  \\\n",
       "0             Covered Recipient Physician                    Not available   \n",
       "1             Covered Recipient Physician                    Not available   \n",
       "2     Covered Recipient Teaching Hospital                    Not available   \n",
       "3     Covered Recipient Teaching Hospital                    Not available   \n",
       "4             Covered Recipient Physician                    Not available   \n",
       "...                                   ...                              ...   \n",
       "9995  Covered Recipient Teaching Hospital                    Not available   \n",
       "9996          Covered Recipient Physician                    Not available   \n",
       "9997  Covered Recipient Teaching Hospital                    Not available   \n",
       "9998          Covered Recipient Physician                    Not available   \n",
       "9999  Covered Recipient Teaching Hospital                    Not available   \n",
       "\n",
       "     Teaching_Hospital_CCN Teaching_Hospital_ID  \\\n",
       "0            Not available        Not available   \n",
       "1            Not available        Not available   \n",
       "2                 240010.0               9232.0   \n",
       "3                 100069.0               9465.0   \n",
       "4            Not available        Not available   \n",
       "...                    ...                  ...   \n",
       "9995              500054.0               9130.0   \n",
       "9996         Not available        Not available   \n",
       "9997              500129.0               9822.0   \n",
       "9998         Not available        Not available   \n",
       "9999              240047.0               9229.0   \n",
       "\n",
       "                 Teaching_Hospital_Name Covered_Recipient_Profile_ID  \\\n",
       "0                         Not available                     168518.0   \n",
       "1                         Not available                    1047788.0   \n",
       "2        MAYO CLINIC HOSPITAL ROCHESTER                Not available   \n",
       "3              Adventhealth Carrollwood                Not available   \n",
       "4                         Not available                    1154002.0   \n",
       "...                                 ...                          ...   \n",
       "9995   Prov Sacred Heart Medical Center                Not available   \n",
       "9996                      Not available                     303222.0   \n",
       "9997  Tacoma General Allenmore Hospital                Not available   \n",
       "9998                      Not available                      76285.0   \n",
       "9999       St. Lukes Hospital Of Duluth                Not available   \n",
       "\n",
       "     Covered_Recipient_NPI Covered_Recipient_First_Name  \\\n",
       "0             1700876877.0                       ANDRES   \n",
       "1             1043262074.0                       EUGENE   \n",
       "2            Not available                Not available   \n",
       "3            Not available                Not available   \n",
       "4             1770518854.0                        Linda   \n",
       "...                    ...                          ...   \n",
       "9995         Not available                Not available   \n",
       "9996          1679551444.0                      BRADLEY   \n",
       "9997         Not available                Not available   \n",
       "9998          1679590111.0                         LUIS   \n",
       "9999         Not available                Not available   \n",
       "\n",
       "     Covered_Recipient_Last_Name  Recipient_City Recipient_State  \\\n",
       "0                         PATRON  Pembroke Pines              FL   \n",
       "1                        DE JUAN   SAN FRANCISCO              CA   \n",
       "2                  Not available       Rochester              MN   \n",
       "3                  Not available           TAMPA              FL   \n",
       "4                           Sher     Los Angeles              CA   \n",
       "...                          ...             ...             ...   \n",
       "9995               Not available         Spokane              WA   \n",
       "9996                       GIEDD     WINTER PARK              FL   \n",
       "9997               Not available          TACOMA              WA   \n",
       "9998                     SANCHEZ     SAINT LOUIS              MO   \n",
       "9999               Not available          Duluth              MN   \n",
       "\n",
       "     Recipient_Zip_Code Covered_Recipient_Primary_Type_1  \\\n",
       "0                 33026             Doctor of Osteopathy   \n",
       "1                 94143                   Medical Doctor   \n",
       "2                 55902                    Not available   \n",
       "3                 33614                    Not available   \n",
       "4                 90004             Doctor of Osteopathy   \n",
       "...                 ...                              ...   \n",
       "9995              99220                    Not available   \n",
       "9996              32792              Doctor of Optometry   \n",
       "9997              98405                    Not available   \n",
       "9998              63110                   Medical Doctor   \n",
       "9999              55805                    Not available   \n",
       "\n",
       "                          Covered_Recipient_Specialty_1  \\\n",
       "0     Allopathic & Osteopathic Physicians|Internal M...   \n",
       "1     Allopathic & Osteopathic Physicians|Ophthalmology   \n",
       "2                                         Not available   \n",
       "3                                         Not available   \n",
       "4     Allopathic & Osteopathic Physicians|Transplant...   \n",
       "...                                                 ...   \n",
       "9995                                      Not available   \n",
       "9996      Eye and Vision Services Providers|Optometrist   \n",
       "9997                                      Not available   \n",
       "9998  Allopathic & Osteopathic Physicians|Surgery|Va...   \n",
       "9999                                      Not available   \n",
       "\n",
       "      Total_Amount_of_Payment_USDollars Date_of_Payment  Record_ID  \\\n",
       "0                              22499.91          8/3/20  744032425   \n",
       "1                               1801.10         6/30/20  742979910   \n",
       "2                              28723.50         2/24/20  737063163   \n",
       "3                                 20.31         4/14/20  751905067   \n",
       "4                               5000.00         6/30/20  717284543   \n",
       "...                                 ...             ...        ...   \n",
       "9995                              33.57          1/9/20  749821823   \n",
       "9996                            1898.00        11/11/20  733464167   \n",
       "9997                             516.00         8/24/20  744081771   \n",
       "9998                             680.00         3/24/20  748760887   \n",
       "9999                             250.00         11/5/20  719479513   \n",
       "\n",
       "      Program_Year Payment_Publication_Date  \n",
       "0             2020                  1/20/23  \n",
       "1             2020                  1/20/23  \n",
       "2             2020                  1/20/23  \n",
       "3             2020                  1/20/23  \n",
       "4             2020                  1/20/23  \n",
       "...            ...                      ...  \n",
       "9995          2020                  1/20/23  \n",
       "9996          2020                  1/20/23  \n",
       "9997          2020                  1/20/23  \n",
       "9998          2020                  1/20/23  \n",
       "9999          2020                  1/20/23  \n",
       "\n",
       "[10000 rows x 19 columns]"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "b6778265",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 10000 entries, 0 to 9999\n",
      "Data columns (total 19 columns):\n",
      " #   Column                             Non-Null Count  Dtype  \n",
      "---  ------                             --------------  -----  \n",
      " 0   Covered_Recipient_Type             10000 non-null  object \n",
      " 1   Noncovered_Recipient_Entity_Name   10000 non-null  object \n",
      " 2   Teaching_Hospital_CCN              10000 non-null  object \n",
      " 3   Teaching_Hospital_ID               10000 non-null  object \n",
      " 4   Teaching_Hospital_Name             10000 non-null  object \n",
      " 5   Covered_Recipient_Profile_ID       10000 non-null  object \n",
      " 6   Covered_Recipient_NPI              10000 non-null  object \n",
      " 7   Covered_Recipient_First_Name       10000 non-null  object \n",
      " 8   Covered_Recipient_Last_Name        10000 non-null  object \n",
      " 9   Recipient_City                     10000 non-null  object \n",
      " 10  Recipient_State                    10000 non-null  object \n",
      " 11  Recipient_Zip_Code                 10000 non-null  object \n",
      " 12  Covered_Recipient_Primary_Type_1   10000 non-null  object \n",
      " 13  Covered_Recipient_Specialty_1      10000 non-null  object \n",
      " 14  Total_Amount_of_Payment_USDollars  10000 non-null  float64\n",
      " 15  Date_of_Payment                    10000 non-null  object \n",
      " 16  Record_ID                          10000 non-null  int64  \n",
      " 17  Program_Year                       10000 non-null  int64  \n",
      " 18  Payment_Publication_Date           10000 non-null  object \n",
      "dtypes: float64(1), int64(2), object(16)\n",
      "memory usage: 1.4+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info(file_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "ca65b65d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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enipTpoy9erpz507Vrl1bJUv+/dVn48aNZbVa7dX2qxUdHW3/81/tTH/d51o5895fySOPPCI/Pz+VKlVKX3zxhT788ENFR0crLy9Pr776qmrVqqWgoCD5+flpyZIlDr+z3r176/vvv9fhw4clSTNmzFD37t1l+ceM8oiICJUq9fdEspCQEEVFReX7vfz13mzZskVnzpxRmTJl5OfnZ98OHjyo/fv3X/K6YWFhBX5/r4Wnp6emT5+uP/74Q6+//rrCw8M1evRo1ahR46omxv714dNisbjk93o1vydJqlevnsPPHTt21NmzZ1WpUiX17t1bX375pXJzL51AJCQkKCAgwGH73HrikscDN7q7mgfr+8+b2LdixYyt0sX3jdTJUzl6ekiS+gzcrB82HNfYl2te8wcEAO7B0AdUdevWTX/++afeeust3XzzzfL29lbDhg0LNIkvLy9PM2fOVGpqqooVK+YwPm3aNLVq9ffqFMWLO046slgsFx2zWq++8ujh4ZHvm4Hz58/nO87Z+xSWN998U7GxsQoICLB/kyBJb7zxht566y1NnDhRtWrVUsmSJfXcc885/M7q1Kmj2rVra9asWbr77rv166+/auHChQ7Xv9bfwZkzZxQWFqZVq1blizUwMPCy13Xm/fX3v/C1+alTpxzuI13o+Q8ICHAYCw8PV5cuXdSlSxe9+uqrqlq1qqZMmaJXXrn8ZMq/EvaIiIgCx/pPV/N7kuTwYVWSKlSooN27d2vZsmVaunSpnnrqKb3xxhtavXp1vvdWkoYOHar4+HiHsRVB9fIdBxQVazf+qR17frb/7FX8QrGhdGBx/Xny7/9+Sgd6ad+Bi7fDnMo4r9w8m4JKO/43E/Sva1xJvehANbqtjO55JFFZZy9Mwh//7j7Vjymte1qF6KN5v1/hCgCKSguNqzid2Pv7+6t8+fJKTExU8+bN7eOJiYm6/fbbJUleXhcqC/9eHSQxMVH/+9//dO+990qSfv/9dx0/frxAcSxatEinT5/WL7/84tBesX37dvXo0UPp6en5ErOrdeutt2rGjBnKzMy0J0KJiYny8PBQtWrVJF1oo/lnZTYvL0/bt29XixYtrvo+l3qfLuVq3vuCCg0NVZUqVfKNJyYm6j//+Y86d+4s6ULry549exQVFeVw3OOPP66JEyfq8OHDio2NdbqXvW7duvYPbc4kvxdbpeZyIiMj5eHhoU2bNunmm2+2jx84cECnTp1S1apVL3lu6dKlFRYWpszMzMve4+zZs3rvvffUrFkz+4coZ3+vV/t7uhhfX1+1bdtWbdu21dNPP63q1atr27Ztqlu3br5jvb295e3t7TBW3FI0vq4ELubs2TwdPuv4/4jjJ7JVv3Zp7Tt44b/lEr6eiqrqrwWLjlz0Grm5Nu3Zd1r1okvrhx//lHRhCex6tUtr/sLDVx2Lj/eFf8v+XTSyWeXwDSiASyOxL4Dnn39eI0aMUOXKlRUTE6Pp06crKSlJH3/8saQLq4D4+vpq8eLFuummm+Tj46OAgABFRkZq9uzZql+/vjIyMvT888/nW0Hkav01+bJ27doO41FRURowYIA+/vhjPf300wW69mOPPaYRI0aoW7duGjlypI4dO6Znn31WXbp0UUhIiKQL8wXi4+O1cOFCVa5cWRMmTLjmhwVd6n26nCu9964WGRmpefPmad26dSpdurQmTJigtLS0fAnjo48+qkGDBun999/XrFmznL5vbGysGjZsqPbt2+v1119X1apVdeTIES1cuFAdOnRQ/fr1r+o6ERER2rBhgw4dOiQ/Pz8FBQU5tP/8W6lSpfT4449r4MCBKlasmGrVqqXff/9dgwcP1h133KFGjRpJkqZOnaqkpCR16NBBlStXts/J+PXXX/XOO+84XPPo0aM6d+6cTp8+rU2bNun111/X8ePHHSZLO/t7vdrf07/NmDFDeXl5atCggUqUKKGPPvpIvr6+Dh9qcGmeJUuoZJWK9p9L3HKT/GtXV86JUzr3O88qKKrmfn1Y3TpV1O9Hziol7Zwe7xyhP09k64cf/y5ETfxvtNasP675Cy8k+58t+EMvDaiuXftOa+ee03roP+Hy9fHQwmWp9nOCAosrqLSXwstf+Hev0s1+yjqbq7Rj2Tp9Jlfbd5/S6cxcvTSgumZ8+puyc6xqGxemsBAfrf/pz8J9EwAUCS5J7Pv166dTp05p4MCBOnr0qKKiovT1118rMjLywk2KFdPbb7+tUaNGafjw4WratKlWrVqlDz/8UH369FHdunVVoUIFjR49ukCrtqSlpWnhwoX65JNP8u3z8PBQhw4d9OGHHxY4sS9RooSWLFmi/v3767bbblOJEiX0wAMPaMKECfZjevbsqS1btqhr164qVqyYBgwYcE3VeunS79PlXOm9d7Vhw4bpwIEDiouLU4kSJdSnTx+1b99ep06dcjguICBADzzwgBYuXKj27ds7fV+LxaJFixbppZdeUo8ePXTs2DGFhoaqWbNm9g9XV2PQoEHq1q2boqKidPbsWR08ePCK3wC89dZbGjNmjAYPHqzffvtNoaGhuuuuu/Taa6/Zq2a333671q5dq759++rIkSPy8/NTjRo1tGDBAoequyRVq1ZNFotFfn5+qlSpku6++27Fx8crNPTvZfCc/b1e7e/p3wIDAzVmzBjFx8crLy9PtWrV0jfffHPVzz9wdwH1aqrh8tn2n6PGvShJ+n3WfG3tNdSosOCkj7/4XT4+nnrhmaryK1lM23ac0sAR25Rz/u9KeniorwL9/269WbH2mAIDiuvxxyIUVPpC287AEdscJuG2v6e8ej4aYf/5f2NjJEmvTdyl75an6VRGrgaO2Ko+XW7RW6/VVrFiFh1MztLQ137VvkOX/yYQwP8rIpNeXcVi+/d3fICLtGrVSjVq1NDbb79tdCgoRAuLVzM6BNxAElq/d+WD4DbWftP8ygcBLnRsWA+XXavcf6df+SCDGTp5FuZ08uRJrVq1SqtWrdL//vc/o8MBAABwC0Xm+4nRo0c7LHP4z+2ee+4xOrzr5lKv2c/PTz/88MM1X68w3sc6deqoe/fuGjt2rH1y8Y2qb9++l3w/+vbta3R4AADACe62jn2RacU5ceKEwxNG/8nX11fh4eGFHFHh2Ldv3yX3hYeHX/NkY3d9Hy/l6NGjl3yIlL+/v4KDgws5oqKPVhz8E604+CdacVDY/hz5uMuuVWbkB9d0/OTJk/XGG28oNTVVtWvX1jvvvHPZ1e0mTpyod999V8nJySpbtqwefPBBJSQkyMfH56rvWWRacYKCgq7qSaxmc7ElJ53hru/jpQQHB5O8AwAAl5ozZ47i4+M1ZcoUNWjQQBMnTlRcXJx279590bzjk08+0ZAhQzRt2jQ1atRIe/bssT/c85+LtVxJ0fheAQAAALhWHh4u27Kzs5WRkeGwZWdnX/S2EyZMUO/evdWjRw9FRUVpypQpKlGihKZNm3bR49etW6fGjRvr0UcfVUREhO6++2498sgj2rhx47W93Gt+gwAAAIAiwOJhcdmWkJCggIAAhy0hISHfPXNycrRp0ybFxsbaxzw8PBQbG6v169dfNM5GjRpp06ZN9kT+wIEDWrRokf0hrleryLTiAAAAANfC4sKnoQ8dOlTx8fEOY/9++rokHT9+XHl5efmesxMSEqJdu3Zd9NqPPvqojh8/riZNmshmsyk3N1d9+/bViy++eE0xUrEHAAAArsDb21v+/v4O28US+4JYtWqVRo8erf/973/avHmz5s+fr4ULF+rVV1+9putQsQcAAIA5eVgK/ZZly5aVp6en0tLSHMbT0tIcnjL/Ty+//LK6dOmixx+/sIpPrVq1lJmZqT59+uill16Sx1Uut0nFHgAAAKZkxDr2Xl5eqlevnpYvX24fs1qtWr58uRo2bHjRc7KysvIl756enpKka1mZnoo9AAAA4ELx8fHq1q2b6tevr9tvv10TJ05UZmamevToIUnq2rWrwsPD7ZNv27ZtqwkTJqhOnTpq0KCB9u3bp5dffllt27a1J/hXg8QeAAAApmQxoBVHkjp16qRjx45p+PDhSk1NVUxMjBYvXmyfUJucnOxQoR82bJgsFouGDRumw4cPq1y5cmrbtq1ee+21a7pvkXnyLICigSfP4p948iz+iSfPorCdGtffZdcKGPSWy651vdBjDwAAAJgArTgAAAAwJaNacYxCYg8AAABzuobVbMzAvV4tAAAAYFJU7AEAAGBKFgutOAAAAEDR52atOCT2AAAAMCV3mzzrXh9jAAAAAJOiYg8AAABzsrhXDZvEHgAAAOZEKw4AAACAooaKPQAAAEzJQisOAAAAYAK04gAAAAAoaqjYAwAAwJQsPKAKAAAAMAELrTgAAAAAihgq9gAAADAnWnEAAAAAE3CzVhwSewAAAJiSu02eda9XCwAAAJgUFXsAAACYE0+eBQAAAEyAJ88CAAAAKGqo2AMAAMCULLTiAAAAACZAKw4AAACAooaKPQAAAMyJVhwAAADABNzsybPu9TEGAAAAMCkq9gAAADAnD/eqYZPYAwAAwJzosQcAAABMgOUuAQAAABQ1VOwBAABgTrTiAAAAACbAcpcAAAAAihoq9gAAADAnlrsEAAAATIBWHAAAAABFDRV7AAAAmBOr4gAAAAAm4GY99u71agEAAACTomIPwKUSWr9ndAi4gQxd3MfoEHBD2W10AHA3bjZ5lsQeAAAA5kSPPQAAAGACblaxd6+PMQAAAIBJUbEHAACAObnZqjgk9gAAADAlG604AAAAAIoaKvYAAAAwJ1bFAQAAAEzAzRJ793q1AAAAgElRsQcAAIApudvkWRJ7AAAAmBOtOAAAAACKGir2AAAAMCdacQAAAAAT4MmzAAAAQNHnbpNn3etjDAAAAGBSVOwBAABgTqyKAwAAABR9NouHy7ZrNXnyZEVERMjHx0cNGjTQxo0bL3t8enq6nn76aYWFhcnb21tVq1bVokWLrumeVOwBAAAAF5ozZ47i4+M1ZcoUNWjQQBMnTlRcXJx2796t4ODgfMfn5OTorrvuUnBwsObNm6fw8HD99ttvCgwMvKb7ktgDAADAnAyaPDthwgT17t1bPXr0kCRNmTJFCxcu1LRp0zRkyJB8x0+bNk0nTpzQunXrVLx4cUlSRETENd+XVhwAAACYkitbcbKzs5WRkeGwZWdn57tnTk6ONm3apNjYWPuYh4eHYmNjtX79+ovG+fXXX6thw4Z6+umnFRISopo1a2r06NHKy8u7ptdLYg8AAABcQUJCggICAhy2hISEfMcdP35ceXl5CgkJcRgPCQlRamrqRa994MABzZs3T3l5eVq0aJFefvlljR8/Xv/973+vKUZacQAAAGBOLmzFGTp0qOLj4x3GvL29XXJtq9Wq4OBgvffee/L09FS9evV0+PBhvfHGGxoxYsRVX4fEHgAAAObkwuUuvb29ryqRL1u2rDw9PZWWluYwnpaWptDQ0IueExYWpuLFi8vT09M+duuttyo1NVU5OTny8vK6qhhpxQEAAABcxMvLS/Xq1dPy5cvtY1arVcuXL1fDhg0vek7jxo21b98+Wa1W+9iePXsUFhZ21Um9RGIPAAAAk7JZLC7brkV8fLzef/99zZw5Uzt37tSTTz6pzMxM+yo5Xbt21dChQ+3HP/nkkzpx4oT69++vPXv2aOHChRo9erSefvrpa7ovrTgAAAAwJ4OePNupUycdO3ZMw4cPV2pqqmJiYrR48WL7hNrk5GR5ePwdW4UKFbRkyRINGDBA0dHRCg8PV//+/TV48OBruq/FZrPZXPpKALi1Jm1XGx0CbiBDF/cxOgTcQNqc3210CHAzpzYvc9m1AurGXvkgg9GKAwAAAJgArTgAAAAwJZtBrThGIbEHAACAOblZYu9erxYAAAAwKSr2AAAAMKVrXaayqCOxBwAAgCm5W4+9e71aAAAAwKSo2AMAAMCcaMUBAAAAij5acQAAAAAUOVTsAQAAYEo20YoDAAAAFHnu1opDYg8AAABzcrPJs+71MQYAAAAwKSr2AAAAMCWbm9WwSewBAABgSjZacQAAAAAUNVTsAQAAYEqsigMAAACYgLutY+9eH2MAAAAAk6JiDwAAAFOiFQcAAAAwAXdbFYfEHgAAAKZEjz0AAACAIoeKPQAAAEyJHnsAAADABGjFAVDkdO/eXe3btzc6DAAAYCASe+ASunfvLovFIovFouLFi+uWW27RCy+8oHPnzhkdmlP+/SHg368zJCREd911l6ZNmyar1WpcoAbr9ViEFsy8Q8vnNdHEV6N1U5jvFc+5/97ymvtBAy3/oqneG1dHt0aWctjfLi5M74yurSVzGmvtN83lV9Iz3zUqlPdVwks19O3HjbRkTmP9b2yM6tQKdNXLQiEKalJf9b98V61++0Ftzu9WSLtWRocEuB2bxcNlW1FQNKIEDNK6dWulpKTowIEDevPNNzV16lSNGDHCsHjOnz9/Xa771+s8dOiQvvvuO7Vo0UL9+/fXfffdp9zc3OtyzxvZYw9U0IP3hWvc//aqz6BfdPZcniaMqiWv4pf+Srdlk3J65vHKmv7pIfV6bpP2HTyjCaNqKTCguP0Yb28Pbdh8QrPnJl/yOq8PrylPT4v6v7RFvZ7brH0Hz+j14TUVFFj8kufgxuRZsoQytu7W9n6vGB0K4LZssrhsKwpI7IHL8Pb2VmhoqCpUqKD27dsrNjZWS5culSRZrVYlJCTolltuka+vr2rXrq158+Y5nP/rr7/qvvvuk7+/v0qVKqWmTZtq//799vNHjRqlm266Sd7e3oqJidHixYvt5x46dEgWi0Vz5sxR8+bN5ePjo48//lh5eXmKj49XYGCgypQpoxdeeEE2m80lrzM8PFx169bViy++qK+++krfffedZsyY4dS1i6KO7cI16/PftHbDn9p/KFP/fXOXygR5q+kdZS95zsPtb9I3S1K0aHmaDv2epTf+t1fnsq26765Q+zFzvz6sj+b9rl93ZVz0GgH+xVQhvIQ+mve79h/K1B8pZ/XuzIPy9fFUpZtLuvx14vo6tmSN9oyYqLSvlhkdCgA3QWIPXKXt27dr3bp18vLykiQlJCRo1qxZmjJlin799VcNGDBAnTt31urVqyVJhw8fVrNmzeTt7a0VK1Zo06ZN6tmzp70C/tZbb2n8+PEaN26ctm7dqri4OLVr10579+51uO+QIUPUv39/7dy5U3FxcRo/frxmzJihadOmae3atTpx4oS+/PJLl7/eli1bqnbt2po/f77Lr30jKx/io7JB3vop6aR9LDMrTzv2ZKhmdf+LnlOsmEVVq5TSz1v+Psdmk35OOqka1S5+zsWcysjVb39kqXXLEPl4e8jTQ2rfOkwnTuZo974zBX9RAOCm3K0Vh1VxgMv49ttv5efnp9zcXGVnZ8vDw0OTJk1Sdna2Ro8erWXLlqlhw4aSpEqVKmnt2rWaOnWqmjdvrsmTJysgIECfffaZihe/0EZRtWpV+7XHjRunwYMH6+GHH5YkjR07VitXrtTEiRM1efJk+3HPPfec7r//fvvPEydO1NChQ+1jU6ZM0ZIlS67L669evbq2bt16Xa59owoqfeGD28l0x7ank+k59n3/FuBfXMU8LTpx0vGcE+nndfNNJa7p/s8N26KEl2rq+8+byGqT0tNzNHDkNp3OdL+WKABwVlFpoXEVEnvgMlq0aKF3331XmZmZevPNN1WsWDE98MAD+vXXX5WVlaW77rrL4ficnBzVqVNHkpSUlKSmTZvak/p/ysjI0JEjR9S4cWOH8caNG2vLli0OY/Xr17f/+dSpU0pJSVGDBg3sY8WKFVP9+vWdbse5GJvNJstlHsednZ2t7OxshzFrXo48PC+eAN+I7moerOef/vsD1wujthkYjRTfN1InT+Xo6SFJys6xqu3doRr7ck31jt+sP0/mGBobAODGRmIPXEbJkiVVpUoVSdK0adNUu3Ztffjhh6pZs6YkaeHChQoPD3c4x9vbW5Lk63vlVVSuNgaj7Ny5U7fccssl9yckJOiVVxwnBlaI7KaK1Xpc79BcZu3GP7Vjz8/2n72KX/i6tXRgcYdEunSgl/YduHg7zKmM88rNsymotOOHuKB/XeNK6kUHqtFtZXTPI4nKOpsnSRr/7j7Vjymte1qF6KN5v1/1tQAAku0yxSkzKhoNQ8ANwMPDQy+++KKGDRumqKgoeXt7Kzk5WVWqVHHYKlSoIEmKjo7WDz/8cNGVbPz9/VW+fHklJiY6jCcmJioqKuqSMQQEBCgsLEwbNmywj+Xm5mrTpk0uepV/W7FihbZt26YHHnjgkscMHTpUp06dcthuqvKYy2O5ns6ezdPhlHP27WBylo6fyFb92qXtx5Tw9VRUVX9tv8Sk19xcm/bsO6160X+fY7FI9WqX1q+7L37Oxfh4X1j+8t/fvtisuuw3JwCAi7PZLC7bigIq9sA16Nixo55//nlNnTpVgwYN0oABA2S1WtWkSROdOnVKiYmJ8vf3V7du3fTMM8/onXfe0cMPP6yhQ4cqICBAP/74o26//XZVq1ZNzz//vEaMGKHKlSsrJiZG06dPV1JSkj7++OPLxtC/f3+NGTNGkZGRql69uiZMmKD09HSnXld2drZSU1OVl5entLQ0LV68WAkJCbrvvvvUtWvXS57n7e1t/4biL0WpDedS5n59WN06VdTvR84qJe2cHu8coT9PZOuHH4/bj5n432itWX9c8xcekSR9tuAPvTSgunbtO62de07rof+Ey9fHQwuXpdrPCQosrqDSXgovf+HbnEo3+ynrbK7SjmXr9Jlcbd99Sqczc/XSgOqa8elvF1px4sIUFuKj9T/9WbhvApzmWbKESlapaP+5xC03yb92deWcOKVzv6cYGBngPmxuVsMmsQeuQbFixfTMM8/o9ddf18GDB1WuXDklJCTowIEDCgwMtC8VKUllypTRihUr9Pzzz6t58+by9PRUTEyMva++X79+OnXqlAYOHKijR48qKipKX3/9tSIjIy8bw8CBA5WSkqJu3brJw8NDPXv2VIcOHXTq1KkCv67FixcrLCxMxYoVU+nSpVW7dm29/fbb9nu4m4+/+F0+Pp564Zmq8itZTNt2nNLAEduUc/7vSnp4qK8C/f9uvVmx9pgCA4rr8cciFFT6QtvOwBHbHCbhtr+nvHo+GmH/+X9jYyRJr03cpe+Wp+lURq4GjtiqPl1u0Vuv1VaxYhYdTM7S0Nd+1b5Dmdf9dcO1AurVVMPls+0/R4278P+G32fN19ZeQ40KC4CJWWzXY8YdALfVpO1qo0PADWTo4j5Gh4AbSJvzu40OAW5mz/5LPxDwWlWtXPHKBxmMij0AAABMyd2Wu3S/79gBE0tOTpafn98lt+Rk11UuAADAjYWKPWAi5cuXV1JS0mX3AwDgLtytYk9iD5hIsWLF7OvuAwDg7twtsacVBwAAADABKvYAAAAwpaLyYClXIbEHAACAKdGKAwAAAKDIoWIPAAAAU3K3ij2JPQAAAEyJxB4AAAAwAXebPEuPPQAAAGACVOwBAABgSlZacQAAAICiz9167GnFAQAAAEyAij0AAABMyd0mz5LYAwAAwJRoxQEAAABQ5FCxBwAAgCnRigMAAACYAK04AAAAAIocKvYAAAAwJVpxAAAAABOwGh1AISOxBwAAgCm5W8WeHnsAAADAxSZPnqyIiAj5+PioQYMG2rhx41Wd99lnn8lisah9+/bXfE8SewAAAJiSTRaXbddizpw5io+P14gRI7R582bVrl1bcXFxOnr06GXPO3TokAYNGqSmTZsW6PWS2AMAAMCUbDaLy7ZrMWHCBPXu3Vs9evRQVFSUpkyZohIlSmjatGmXPCcvL0+PPfaYXnnlFVWqVKlAr5fEHgAAALiC7OxsZWRkOGzZ2dn5jsvJydGmTZsUGxtrH/Pw8FBsbKzWr19/yeuPGjVKwcHB6tWrV4FjJLEHAACAKbmyFSchIUEBAQEOW0JCQr57Hj9+XHl5eQoJCXEYDwkJUWpq6kXjXLt2rT788EO9//77Tr1eVsUBAACAKVltrrvW0KFDFR8f7zDm7e3t9HVPnz6tLl266P3331fZsmWduhaJPQAAAHAF3t7eV5XIly1bVp6enkpLS3MYT0tLU2hoaL7j9+/fr0OHDqlt27b2Mav1wgr8xYoV0+7du1W5cuWripFWHAAAAJiSEavieHl5qV69elq+fLl9zGq1avny5WrYsGG+46tXr65t27YpKSnJvrVr104tWrRQUlKSKlSocNX3pmIPAAAAUzLqAVXx8fHq1q2b6tevr9tvv10TJ05UZmamevToIUnq2rWrwsPDlZCQIB8fH9WsWdPh/MDAQEnKN34lJPYAAACAC3Xq1EnHjh3T8OHDlZqaqpiYGC1evNg+oTY5OVkeHq5vnLHYbDYXTisA4O6atF1tdAi4gQxd3MfoEHADaXN+t9EhwM2s3HbWZddqUcvXZde6XqjYAwAAwJSs1/jE2KKOxB4AAACmZFSPvVFYFQcAAAAwASr2AAAAMCV3m0lKYg8AAABTupb1582AVhwAAADABKjYAwAAwJSstOIAAAAARR+r4gAAAAAocqjYAwAAwJRYFQcAAAAwAXd78iytOAAAAIAJULEHAACAKdGKAwAAAJiAu62KQ2IPAAAAU3K3dezpsQcAAABMgIo9AAAATIkeewAAAMAEbCx3CQAAAKCooWIPAAAAU3K3ybMk9gAAADAleuwBwAlrv2ludAi4oew2OgAAcBsk9gAAADAlKvYAAACACVjd7MmzrIoDAAAAmAAVewAAAJgSrTgAAACACZDYAwAAACbgbuvY02MPAAAAmAAVewAAAJiSzc1WxSGxBwAAgCm5W489rTgAAACACVCxBwAAgCm52+RZEnsAAACYEq04AAAAAIocKvYAAAAwJXer2JPYAwAAwJTcrceeVhwAAADABKjYAwAAwJRoxQEAAABMwGo1OoLCRWIPAAAAU3K3ij099gAAAIAJULEHAACAKblbxZ7EHgAAAKbEcpcAAAAAihwq9gAAADAlm0t7cSwuvNb1QWIPAAAAU3K3HntacQAAAAAToGIPAAAAU+IBVQAAAIAJ0IoDAAAAoMihYg8AAABTcrd17EnsAQAAYEru1opDYg8AAABTsrm0ZH/jr2NPjz0AAABgAlTsAQAAYEr02AMAAAAm4G499rTiAAAAACZAxR4AAACmZHWzXhwSewAAAJgSrTgAAAAAihwSewAAAJiSzea67VpNnjxZERER8vHxUYMGDbRx48ZLHvv++++radOmKl26tEqXLq3Y2NjLHn8pJPYAAAAwJavN5rLtWsyZM0fx8fEaMWKENm/erNq1aysuLk5Hjx696PGrVq3SI488opUrV2r9+vWqUKGC7r77bh0+fPia7mux2dyt+wgAAADu4NVPc112rZcfufqpqQ0aNNBtt92mSZMmSZKsVqsqVKigZ599VkOGDLni+Xl5eSpdurQmTZqkrl27XvV9mTwLAAAAU7JZXXet7OxsZWdnO4x5e3vL29vbYSwnJ0ebNm3S0KFD7WMeHh6KjY3V+vXrr+peWVlZOn/+vIKCgq4pRlpxAAAAYEo2m81lW0JCggICAhy2hISEfPc8fvy48vLyFBIS4jAeEhKi1NTUq4p78ODBKl++vGJjY6/p9VKxBwAAgClZXVixf3HoUMXHxzuM/bta7wpjxozRZ599plWrVsnHx+eaziWxBwAAAK7gYm03F1O2bFl5enoqLS3NYTwtLU2hoaGXPXfcuHEaM2aMli1bpujo6GuOkVYcAAAAmJIrW3GulpeXl+rVq6fly5fbx6xWq5YvX66GDRte8rzXX39dr776qhYvXqz69esX6PVSsQcAAIApWQ1a+zE+Pl7dunVT/fr1dfvtt2vixInKzMxUjx49JEldu3ZVeHi4vUd/7NixGj58uD755BNFRETYe/H9/Pzk5+d31fclsQcAAABcqFOnTjp27JiGDx+u1NRUxcTEaPHixfYJtcnJyfLw+Ltx5t1331VOTo4efPBBh+uMGDFCI0eOvOr7so49AAAATOmladlXPugqvdbT9RNlXY2KPQAAAEzJ3crXTJ4FAAAATICKPQAAAEzJatTsWYOQ2AMAAMCU3G0qKa04AAAAgAlQsQcAAIAp2axGR1C4qNijyOnevbssFossFou8vLxUpUoVjRo1Srm5uUaHdt1lZ2erRo0a6tOnT759L7zwgm655RadPn3agMgAALjxWG02l21FAYk9iqTWrVsrJSVFe/fu1cCBAzVy5Ei98cYb+Y7Lycm5bjFcz2tfire3t2bNmqUZM2ZoyZIl9vEff/xRb775pmbMmKFSpUq59J42m80tPjQBAMzHZrO5bCsKSOxRJHl7eys0NFQ333yznnzyScXGxurrr79W9+7d1b59e7322msqX768qlWrJknatm2bWrZsKV9fX5UpU0Z9+vTRmTNn7NfLzc1Vv379FBgYqDJlymjw4MHq1q2b2rdvbz/mzjvv1DPPPKPnnntOZcuWVVxcnCRpwoQJqlWrlkqWLKkKFSroqaeecrj2jBkzFBgYqG+//VbVqlVTiRIl9OCDDyorK0szZ85URESESpcurX79+ikvL++Kr71evXp66aWX1KtXL6Wnp+vcuXPq0aOHnn32WTVv3lxr165V06ZN5evrqwoVKqhfv37KzMy0nz979mzVr19fpUqVUmhoqB599FEdPXrUvn/VqlWyWCz67rvvVK9ePXl7e2vt2rUF/l0BAIDCQWIPU/D19bVX0JcvX67du3dr6dKl+vbbb5WZmam4uDiVLl1aP/30k+bOnatly5bpmWeesZ8/duxYffzxx5o+fboSExOVkZGhBQsW5LvPzJkz5eXlpcTERE2ZMkWS5OHhobffflu//vqrZs6cqRUrVuiFF15wOC8rK0tvv/22PvvsMy1evFirVq1Shw4dtGjRIi1atEizZ8/W1KlTNW/evKt6vS+99JJCQ0PVr18/DRs2TBaLRaNHj9b+/fvVunVrPfDAA9q6davmzJmjtWvXOrzW8+fP69VXX9WWLVu0YMECHTp0SN27d893jyFDhmjMmDHauXOnoqOjryouAABuJFarzWVbUWCxFZXvFoD/1717d6Wnp2vBggWy2Wxavny57rvvPj377LM6duyYFi9erOTkZHl5eUmS3n//fQ0ePFi///67SpYsKUlatGiR2rZtqyNHjigkJEShoaEaNGiQBg0aJEnKy8tTpUqVVKdOHXuCf+eddyojI0ObN2++bHzz5s1T3759dfz4cUkXKvY9evTQvn37VLlyZUlS3759NXv2bKWlpcnPz0/ShfaiiIgI+weGK9mxY4fq1asnq9WqxMRE1a9fX48//rg8PT01depU+3Fr165V8+bNlZmZKR8fn3zX+fnnn3Xbbbfp9OnT8vPz06pVq9SiRQstWLBA//nPfy4bQ3Z2trKzHR/X7e3tLW/vG/+x2wAA83vunTNXPugqTXzWz2XXul6o2KNI+vbbb+Xn5ycfHx/dc8896tSpk0aOHClJqlWrlj2pl6SdO3eqdu3a9qRekho3biyr1ardu3fr1KlTSktL0+23327f7+npqXr16uW778XGli1bplatWik8PFylSpVSly5d9OeffyorK8t+TIkSJexJvSSFhIQoIiLCntT/NfbPlpgriYqK0gMPPKC77rpL9evXlyRt2bJFM2bMkJ+fn32Li4uT1WrVwYMHJUmbNm1S27ZtVbFiRZUqVUrNmzeXJCUnJztc/69rXk5CQoICAgIctoSEhKt+DQAAwHVY7hJFUosWLfTuu+/Ky8tL5cuXV7Fif/9V/mcC72r/vvahQ4d033336cknn9Rrr72moKAgrV27Vr169VJOTo5KlCghSSpevLjDeRaL5aJjVuu1rctVrFgxh9d+5swZPfHEE+rXr1++YytWrGhvS4qLi9PHH3+scuXKKTk5WXFxcfkmA1/N+zh06FDFx8c7jFGtBwDcKGxFpIXGVUjsUSSVLFlSVapUuapjb731Vs2YMUOZmZn2ZDUxMVEeHh6qVq2aAgICFBISop9++knNmjWTdKEVZ/PmzYqJibnstTdt2iSr1arx48fLw+PCF2Cff/55wV+Yk+rWrasdO3Zc8r3Ztm2b/vzzT40ZM0YVKlSQdKEVp6BouwEA3MiKyjKVrkIrDkzvsccek4+Pj7p166bt27dr5cqVevbZZ9WlSxeFhIRIkp599lklJCToq6++0u7du9W/f3+dPHlSFovlsteuUqWKzp8/r3feeUcHDhzQ7Nmzr7pH/noYPHiw1q1bp2eeeUZJSUnau3evvvrqK/vk2YoVK8rLy8se79dff61XX33VsHgBAIDrkNjD9EqUKKElS5boxIkTuu222/Tggw+qVatWmjRpkv2YwYMH65FHHlHXrl3VsGFDe2/6xSab/lPt2rU1YcIEjR07VjVr1tTHH39saI95dHS0Vq9erT179qhp06aqU6eOhg8frvLly0uSypUrpxkzZmju3LmKiorSmDFjNG7cOMPiBQDgerJZbS7bigJWxQEuwmq16tZbb9VDDz1ERRsAgCLq6XHpLrvW5EGBLrvW9UKPPSDpt99+0/fff6/mzZsrOztbkyZN0sGDB/Xoo48aHRoAAMBVIbEHdOEhUzNmzNCgQYNks9lUs2ZNLVu2TLfeemuhx/LDDz/onnvuueT+fz7VFgAAXFoR6aBxGRJ7QFKFChWUmJhodBiSLqwfn5SUZHQYAAAUeUWlN95VSOyBG4yvr+9VL+UJAAAuzd2mkrIqDgAAAGACVOwBAABgSlZacQAAAICij1YcAAAAAEUOFXsAAACYEqviAAAAACbgbok9rTgAAACACVCxBwAAgClZ3WzyLIk9AAAATIlWHAAAAABFDhV7AAAAmJK7rWNPYg8AAABT4smzAAAAgAnQYw8AAACgyKFiDwAAAFOixx4AAAAwAZvVanQIhYpWHAAAAMAEqNgDAADAlFgVBwAAADABd+uxpxUHAAAAMAEq9gAAADAld1vHnsQeAAAApuRuiT2tOAAAAIAJULEHAACAKVlt7rWOPYk9AAAATMndWnFI7AEAAGBK7pbY02MPAAAAmAAVewAAAJiSuz2gisQeAAAApmS1utfkWVpxAAAAABOgYg8AAABTcrfJsyT2AAAAMCWbm61jTysOAAAAYAJU7AEAAGBKtOIAAAAAJuBuiT2tOAAAAIAJULEHAACAKVndbPIsiT0AAABMyd1acUjsAQAAYEo2njwLAAAAoKihYg8AAABTcrdWHCr2AAAAMCWbzeqy7VpNnjxZERER8vHxUYMGDbRx48bLHj937lxVr15dPj4+qlWrlhYtWnTN9ySxBwAAAFxozpw5io+P14gRI7R582bVrl1bcXFxOnr06EWPX7dunR555BH16tVLv/zyi9q3b6/27dtr+/bt13Rfi81mc6/vKAAAAOAWWjy0wWXXWvl5g6s+tkGDBrrttts0adIkSZLValWFChX07LPPasiQIfmO79SpkzIzM/Xtt9/ax+644w7FxMRoypQpV31fKvYAAAAwJZvV6rItOztbGRkZDlt2dna+e+bk5GjTpk2KjY21j3l4eCg2Nlbr16+/aJzr1693OF6S4uLiLnn8pZDYAwAAAFeQkJCggIAAhy0hISHfccePH1deXp5CQkIcxkNCQpSamnrRa6empl7T8ZfCqjgAAAAwJVeuijN06FDFx8c7jHl7e7vs+q5AYg8AAABTKshqNpfi7e19VYl82bJl5enpqbS0NIfxtLQ0hYaGXvSc0NDQazr+UmjFAQAAAFzEy8tL9erV0/Lly+1jVqtVy5cvV8OGDS96TsOGDR2Ol6SlS5de8vhLoWIPAAAAUzLqAVXx8fHq1q2b6tevr9tvv10TJ05UZmamevToIUnq2rWrwsPD7T36/fv3V/PmzTV+/Hi1adNGn332mX7++We9995713RfEnsAAACYks3qulaca9GpUycdO3ZMw4cPV2pqqmJiYrR48WL7BNnk5GR5ePzdONOoUSN98sknGjZsmF588UVFRkZqwYIFqlmz5jXdl3XsAcDFsrOzlZCQoKFDh95wE6tQ+Pj7gH/i7wOuJxJ7AHCxjIwMBQQE6NSpU/L39zc6HBiMvw/4J/4+4Hpi8iwAAABgAiT2AAAAgAmQ2AMAAAAmQGIPAC7m7e2tESNGMDEOkvj7AEf8fcD1xORZAAAAwASo2AMAAAAmQGIPAAAAmACJPQAAAGACJPYAAACACZDYAwAAACZAYg8ALpaXl6ekpCSdPHnS6FAAAG6ExB4AnPTcc8/pww8/lHQhqW/evLnq1q2rChUqaNWqVcYGB8BweXl5WrNmjdLT040OBSZHYg8ATpo3b55q164tSfrmm2908OBB7dq1SwMGDNBLL71kcHQAjObp6am7776bb/Fw3ZHYA4CTjh8/rtDQUEnSokWL1LFjR1WtWlU9e/bUtm3bDI4Ohc1qtWratGm67777VLNmTdWqVUvt2rXTrFmzxDMh3VfNmjV14MABo8OAyZHYA4CTQkJCtGPHDuXl5Wnx4sW66667JElZWVny9PQ0ODoUJpvNpnbt2unxxx/X4cOHVatWLdWoUUO//fabunfvrg4dOhgdIgzy3//+V4MGDdK3336rlJQUZWRkOGyAKxQzOgAAKOp69Oihhx56SGFhYbJYLIqNjZUkbdiwQdWrVzc4OhSmGTNmaM2aNVq+fLlatGjhsG/FihVq3769Zs2apa5duxoUIYxy7733SpLatWsni8ViH7fZbLJYLMrLyzMqNJiIxcb3ggDgtC+++ELJycnq2LGjbrrpJknSzJkzFRgYqP/85z8GR4fCcvfdd6tly5YaMmTIRfePHj1aq1ev1pIlSwo5Mhht9erVl93fvHnzQooEZkZiDwBOOH/+vFq3bq0pU6YoMjLS6HBgsNDQUC1evFgxMTEX3f/LL7/onnvuUWpqauEGBsAt0IoDAE4oXry4tm7danQYuEGcOHFCISEhl9wfEhLCyihuLisrS8nJycrJyXEYj46ONigimAmJPQA4qXPnzvrwww81ZswYo0OBwfLy8lSs2KX/afX09FRubm4hRoQbxbFjx9SjRw999913F91Pjz1cgcQeAJyUm5uradOmadmyZapXr55KlizpsH/ChAkGRYbCZrPZ1L17d3l7e190f3Z2diFHhBvFc889p/T0dG3YsEF33nmnvvzyS6Wlpem///2vxo8fb3R4MAkSewBw0vbt21W3bl1J0p49exz2/XP1C5hft27drngMK+K4pxUrVuirr75S/fr15eHhoZtvvll33XWX/P39lZCQoDZt2hgdIkyAybMAAADXmb+/v7Zu3aqIiAjdfPPN+uSTT9S4cWMdPHhQNWrUUFZWltEhwgR4QBUAAMB1Vq1aNe3evVuSVLt2bU2dOlWHDx/WlClTFBYWZnB0MAsq9gDgAj///LM+//zzi652MX/+fIOiQmG7//77r+o4/k64n48++ki5ubnq3r27Nm3apNatW+vEiRPy8vLSjBkz1KlTJ6NDhAnQYw8ATvrss8/UtWtXxcXF6fvvv9fdd9+tPXv2KC0tTR06dDA6PBSigIAAo0PADapz5872P9erV0+//fabdu3apYoVK6ps2bIGRgYzoWIPAE6Kjo7WE088oaefflqlSpXSli1bdMstt+iJJ55QWFiYXnnlFaNDxA3qjz/+UPny5eXhQWesu8jJydHBgwdVuXLlyy6NChQE/ycBACft37/fvqKFl5eXMjMzZbFYNGDAAL333nsGR4cbWVRUlA4dOmR0GCgEWVlZ6tWrl0qUKKEaNWooOTlZkvTss8/yDAy4DIk9ADipdOnSOn36tCQpPDxc27dvlySlp6ez0gUuiy/N3cfQoUO1ZcsWrVq1Sj4+Pvbx2NhYzZkzx8DIYCZ8BwQATmrWrJmWLl2qWrVqqWPHjurfv79WrFihpUuXqlWrVkaHB+AGsGDBAs2ZM0d33HGHw/MtatSoof379xsYGcyExB4AnDRp0iSdO3dOkvTSSy+pePHiWrdunR544AENGzbM4OgA3AiOHTum4ODgfON/te4BrkBiDwBOCgoKsv/Zw8NDQ4YMMTAaADei+vXra+HChXr22Wcl/f1U6g8++EANGzY0MjSYCIk9ABRARkbGVR/r7+9/HSNBUUal1vwyMzNVsmRJjR49Wvfcc4927Nih3NxcvfXWW9qxY4fWrVun1atXGx0mTILJswBQAIGBgSpduvRlt7+OAS6FybPmFx0drbVr16pJkyZKSkpSbm6uatWqpe+//17BwcFav3696tWrZ3SYMAkq9gBQACtXrjQ6BJjAjh07VL58eaPDwHX0wAMPqGXLlurfv79ee+01vf/++0aHBBPjAVUAALjA/ffff9XHzp8//zpGghvNjz/+qJ49e8rDw0OzZ89WnTp1jA4JJkXFHgAKYOvWrVd9bHR09HWMBDeKgIAA+59tNpu+/PJLBQQEqH79+pKkTZs2KT09/Zo+AMAc7rjjDv3yyy8aNmyYGjVqpLvuuivfU2f5sAdXILEHgAKIiYmRxWK5Yo+0xWJRXl5eIUUFI02fPt3+58GDB+uhhx7SlClT5OnpKUnKy8vTU089xWRqN5Wdna2jR4/KYrEoICAgX2IPuAKtOABQAL/99ttVH3vzzTdfx0hwIypXrpzWrl2ratWqOYzv3r1bjRo10p9//mlQZDDC0qVL1bNnT4WFhWnmzJm69dZbjQ4JJsXHRQAoAJJ1XE5ubq527dqVL7HftWuXrFarQVHBCE888YRmzpypF198US+99JL9GxzgeiCxBwAX2L9/vyZOnKidO3dKkqKiotS/f39VrlzZ4MhghB49eqhXr17av3+/br/9dknShg0bNGbMGPXo0cPg6FCYEhMTtW7dOtWtW9foUOAGaMUBACctWbJE7dq1U0xMjBo3bizpwj/mW7Zs0TfffKO77rrL4AhR2KxWq8aNG6e33npLKSkpkqSwsDD1799fAwcOpGrrRnJycuTl5XXVx/v7+yspKUmVKlW6jlHBrEjsAcBJderUUVxcnMaMGeMwPmTIEH3//ffavHmzQZHBCLm5ufrkk08UFxenkJAQ+1OKmTSLq1GqVClt2bKFxB4FQmIPAE7y8fHRtm3bFBkZ6TC+Z88eRUdH69y5cwZFBqOUKFFCO3fuZC4GrhmJPZzhYXQAAFDUlStXTklJSfnGk5KSFBwcXPgBwXC33367fvnlF6PDAOBmmDwLAE7q3bu3+vTpowMHDqhRo0aSLvTYjx07VvHx8QZHByM89dRTGjhwoP744w/Vq1dPJUuWdNjPQ8sAXA+04gCAk2w2myZOnKjx48fryJEjkqTy5cvr+eefV79+/WSxWAyOEIXNwyP/F+J/PdCMh5bhcpg8C2eQ2AOAC50+fVrShT5ZuK8rPcCM3ntcCj32cAatOADgAsePH9ehQ4dksVgUERFhdDgwGIk7Cuq7775TeHi40WGgiKJiDwBO+PXXX/Xkk08qMTHRYbx58+Z699138z15FO6Dh5bhn2w2m+bNm6eVK1fq6NGj+Z5APH/+fIMig5mwKg4AFFBqaqqaN2+uY8eOacKECVq0aJEWLlyoN954QykpKWratKmOHj1qdJgwwJIlSxQVFaWNGzcqOjpa0dHR2rBhg2rUqKGlS5caHR4M8Nxzz6lLly46ePCg/Pz8FBAQ4LABrkDFHgAKaPDgwVq2bJkSExPl4+PjsO/s2bNq0qSJ7r77biUkJBgUIYzCQ8vwb0FBQfroo4907733Gh0KTIyKPQAU0NKlSzV48OB8Sb0k+fr66vnnn9eSJUsMiAxG27lzp3r16pVvvGfPntqxY4cBEcFoAQEBTIjFdUdiDwAFdODAAdWtW/eS++vXr68DBw4UYkS4UfDQMvzbyJEj9corr+js2bNGhwITY1UcACig06dPy9/f/5L7S5UqpTNnzhRiRLhR8NAy/NtDDz2kTz/9VMHBwYqIiFDx4sUd9tOeBVcgsQcAJ5w+ffqirTiSlJGRIaYxuaeXX35ZpUqV0vjx4zV06FBJFx5aNnLkSPXr18/g6GCEbt26adOmTercubNCQkJ4cB2uCybPAkABeXh4XPYfZ54yComHluGCkiVLasmSJWrSpInRocDEqNgDQAGtXLnS6BBwgzp48KByc3MVGRnpkNDv3btXxYsX5yFmbqhChQqXbd0DXIGKPQAALta8eXP17NlT3bp1cxj/6KOP9MEHH2jVqlXGBAbDLFy4UO+8846mTJnCBztcNyT2AFBAubm5ysvLk7e3t30sLS1NU6ZMUWZmptq1a8fX7m7K399fmzdvVpUqVRzG9+3bp/r16ys9Pd2YwGCY0qVLKysrS7m5uSpRokS+ybMnTpwwKDKYCa04AFBAvXv3lpeXl6ZOnSrpQi/1bbfdpnPnziksLExvvvmmvvrqKx5I44YsFou9t/6fTp06xZwLNzVx4kSjQ4AboGIPAAVUtWpVTZo0SXfffbckafLkyRo9erR27NihgIAADR48WBs3bqQX3w21bdtWvr6++vTTT+Xp6SlJysvLU6dOnZSZmanvvvvO4AgBmBGJPQAUUMmSJbV9+3bdcsstkqT7779fN910k95++21J0o4dO3TnnXfq6NGjRoYJA+zYsUPNmjVTYGCgmjZtKkn64YcflJGRoRUrVqhmzZoGRwgjnTt3Tjk5OQ5jTKyFK/DkWQAoIB8fH4enSP74449q0KCBw34eUOWeoqKitHXrVj300EM6evSoTp8+ra5du2rXrl0k9W4qMzNTzzzzjIKDg1WyZEmVLl3aYQNcgR57ACigmJgYzZ49WwkJCfrhhx+Ulpamli1b2vfv379f5cuXNzBCGKl8+fIaPXq00WHgBvHCCy9o5cqVevfdd9WlSxdNnjxZhw8f1tSpUzVmzBijw4NJ0IoDAAW0evVq3XPPPQoLC1NKSooeeeQRffjhh/b9Tz31lDIzMzVz5kwDo4RRfvjhB02dOlUHDhzQ3LlzFR4ertmzZ+uWW25htSQ3VLFiRc2aNUt33nmnw6pJs2fP1qeffqpFixYZHSJMgFYcACig5s2b6+eff1a/fv00ffp0vf/++w77Y2JiNGDAAIOig5G++OILxcXFydfXV5s3b1Z2drakC6viUMV3TydOnFClSpUkXein/2t5yyZNmmjNmjVGhgYTIbEHACdERUWpf//+6tSpkzw8HP+X2qdPH8XExBgTGAz13//+V1OmTNH777/vsF5548aNtXnzZgMjg1EqVaqkgwcPSpKqV6+uzz//XJL0zTffKDAw0MDIYCb02ANAAf21+s2/BQQEqGrVqmrYsGEhR4Qbxe7du9WsWbN84wEBATycyk316NFDW7ZsUfPmzTVkyBC1bdtWkyZN0vnz5zVhwgSjw4NJkNgDQAG9+eabFx1PT0/XqVOn1KhRI3399dcKCgoq5MhgtNDQUO3bt08REREO42vXrrW3Y8C9/LMtLzY2Vrt27dKmTZtUpUoVRUdHGxgZzIRWHAAooIMHD150O3nypPbt2yer1aphw4YZHSYM0Lt3b/Xv318bNmyQxWLRkSNH9PHHH2vgwIF68sknjQ4Phez8+fNq1aqV9u7dax+7+eabdf/995PUw6Wo2APAdVCpUiWNGTNGPXv2NDoUGGDIkCGyWq1q1aqVsrKy1KxZM3l7e+v555/X448/bnR4KGTFixfX1q1bjQ4DboCKPQBcJxUrVlRqaqrRYcAAFotFL730kk6cOKHt27frxx9/1LFjxxQQEGB/UjHcS+fOnR2WwwWuByr2AHCdbNu2TTfffLPRYaAQZWdna+TIkVq6dKm9Qt++fXtNnz5dHTp0kKenJ0uguqnc3FxNmzZNy5YtU7169VSyZEmH/UyghSuQ2ANAAWVkZFx0/NSpU9q0aZMGDhyobt26FXJUMNLw4cM1depUxcbGat26derYsaN69OihH3/8UePHj1fHjh3l6elpdJgwwPbt21W3bl1J0p49exz2WSwWI0KCCZHYA0ABBQYGXvIfZIvFoscff1xDhgwp5KhgpLlz52rWrFlq166dtm/frujoaOXm5mrLli0kb25u5cqVRocAN2Cx2Ww2o4MAgKJo9erVFx339/dXZGSk/Pz8CjkiGM3Ly0sHDx5UeHi4JMnX11cbN25UrVq1DI4MgDugYg8ABdS8efNrOv6pp57SqFGjVLZs2esUEYyWl5cnLy8v+8/FihXjAx4kSR06dLjotzYWi0U+Pj6qUqWKHn30UVWrVs2A6GAWVOwBoJD4+/srKSmJBxSZmIeHh+655x55e3tLkr755hu1bNky30TJ+fPnGxEeDNS9e3ctWLBAgYGBqlevniRp8+bNSk9P1913360tW7bo0KFDWr58uRo3bmxwtCiqqNgDQCGhjmJ+/54s3blzZ4MiwY0mNDRUjz76qCZNmiQPjwurjVutVvXv31+lSpXSZ599pr59+2rw4MFau3atwdGiqKJiDwCFpFSpUtqyZQsVe8ANlStXTomJiapatarD+J49e9SoUSMdP35c27ZtU9OmTZWenm5MkCjyeEAVAADAdZabm6tdu3blG9+1a5fy8vIkST4+PqyeBKfQigMAAHCddenSRb169dKLL76o2267TZL0008/afTo0erataukCytt1ahRw8gwUcTRigMAhYRWHMB95eXlacyYMZo0aZLS0tIkSSEhIXr22Wc1ePBgeXp6Kjk5WR4eHrrpppsMjhZFFYk9ADgpOTlZFSpUyPcVus1m0++//66KFStKkp588km9+uqrLHcJuLm/nlrt7+9vcCQwGxJ7AHCSp6enUlJSFBwc7DD+559/Kjg42N4/CwDHjh3T7t27JUnVq1fngz5cismzAOAkm8120QlvZ86ckY+PjwERAbjRZGZmqmfPngoLC1OzZs3UrFkzhYWFqVevXsrKyjI6PJgEk2cBoIDi4+MlXXhy5Msvv6wSJUrY9+Xl5WnDhg2KiYkxKDoAN5L4+HitXr1a33zzjf0BVGvXrlW/fv00cOBAvfvuuwZHCDOgFQcACqhFixaSLqxk0bBhQ3l5edn3eXl5KSIiQoMGDVJkZKRRIQK4QZQtW1bz5s3TnXfe6TC+cuVKPfTQQzp27JgxgcFUqNgDQAGtXLlSktSjRw+99dZbTIQDcElZWVkKCQnJNx4cHEwrDlyGij0AAMB11qpVK5UpU0azZs2yz705e/asunXrphMnTmjZsmUGRwgzILEHACdlZmZqzJgxWr58uY4ePSqr1eqw/8CBAwZFBuBGsW3bNrVu3VrZ2dmqXbu2JGnLli3y8fHRkiVLeDAVXILEHgCc9Mgjj2j16tXq0qWLwsLC8q2Q079/f4MiA3AjycrK0scff6xdu3ZJkm699VY99thj8vX1NTgymAWJPQA4KTAwUAsXLrSvdAEA/3T+/HlVr15d3377rW699Vajw4GJsY49ADipdOnSCgoKMjoMADeo4sWL69y5c0aHATdAYg8ATnr11Vc1fPhwVrYAcElPP/20xo4dq9zcXKNDgYnRigMATqpTp472798vm82miIgIFS9e3GH/5s2bDYoMwI2iQ4cOWr58ufz8/FSrVi2VLFnSYf/8+fMNigxmwjr2AOCk9u3bGx0CgBtcYGCgHnjgAaPDgMlRsQcAALhOrFar3njjDX399dfKyclRy5YtNXLkSFbCwXVBjz0AuEB6ero++OADDR06VCdOnJB0oQXn8OHDBkcGwEivvfaaXnzxRfn5+Sk8PFxvv/22nn76aaPDgklRsQcAJ23dulWxsbEKCAjQoUOHtHv3blWqVEnDhg1TcnKyZs2aZXSIAAwSGRmpQYMG6YknnpAkLVu2TG3atNHZs2fl4UF9Fa7F3ygAcFJ8fLy6d++uvXv32h8VL0n33nuv1qxZY2BkAIyWnJyse++91/5zbGysLBaLjhw5YmBUMCsSewBw0k8//WSvxv1TeHi4UlNTDYgIwI0iNzfX4QO/dGFd+/PnzxsUEcyMVXEAwEne3t7KyMjIN75nzx6VK1fOgIgA3ChsNpu6d+8ub29v+9i5c+fUt29fhyUvWe4SrkBiDwBOateunUaNGqXPP/9ckmSxWJScnKzBgwezvB3g5rp165ZvrHPnzgZEAnfA5FkAcNKpU6f04IMP6ueff9bp06dVvnx5paamqmHDhlq0aFG+B9EAAHA9kNgDgIusXbtWW7du1ZkzZ1S3bl3FxsYaHRIAwI2Q2AMAAAAmQI89ALjATz/9pJUrV+ro0aOyWq0O+yZMmGBQVAAAd0JiDwBOGj16tIYNG6Zq1aopJCREFovFvu+ffwYA4HqiFQcAnBQSEqKxY8eqe/fuRocCAHBjPKAKAJzk4eGhxo0bGx0GAMDNkdgDgJMGDBigyZMnGx0GAMDN0YoDAE6yWq1q06aN9uzZo6ioKBUvXtxhP0+UBAAUBibPAoCT+vXrp5UrV6pFixYqU6YME2YBAIagYg8ATipVqpQ+++wztWnTxuhQAABujB57AHBSUFCQKleubHQYAAA3R2IPAE4aOXKkRowYoaysLKNDAQC4MVpxAMBJderU0f79+2Wz2RQREZFv8uzmzZsNigwA4E6YPAsATmrfvr3RIQAAQMUeAAAAMAN67AHASd26ddOaNWuMDgMA4OZI7AHASadOnVJsbKwiIyM1evRoHT582OiQAABuiMQeAJy0YMECHT58WE8++aTmzJmjiIgI3XPPPZo3b57Onz9vdHgAADdBjz0AuNjmzZs1ffp0ffDBB/Lz81Pnzp311FNPKTIy0ujQAAAmRsUeAFwoJSVFS5cu1dKlS+Xp6al7771X27ZtU1RUlN58802jwwMAmBgVewBw0vnz5/X1119r+vTp+v777xUdHa3HH39cjz76qPz9/SVJX375pXr27KmTJ08aHC0AwKxYxx4AnBQWFiar1apHHnlEGzduVExMTL5jWrRoocDAwEKPDQDgPqjYA4CTZs+erY4dO8rHx8foUAAAbozEHgAAADABWnEAwAV+/vlnff7550pOTlZOTo7Dvvnz5xsUFQDAnbAqDgA46bPPPlOjRo20c+dOffnllzp//rx+/fVXrVixQgEBAUaHBwBwEyT2AOCk0aNH680339Q333wjLy8vvfXWW9q1a5ceeughVaxY0ejwAABugsQeAJy0f/9+tWnTRpLk5eWlzMxMWSwWDRgwQO+9957B0QEA3AWJPQA4qXTp0jp9+rQkKTw8XNu3b5ckpaenKysry8jQAABuhMmzAOCkZs2aaenSpapVq5Y6duyo/v37a8WKFVq6dKlatWpldHgAADfBcpcA4KQTJ07o3LlzKl++vKxWq15//XWtW7dOkZGRGjZsmEqXLm10iAAAN0BiDwBOOHTokJYuXaqcnBw1b95cNWvWNDokAICbohUHAApo5cqVuu+++3T27FlJUrFixTRt2jR17tzZ4MgAAO6Iij0AFFCTJk1UtmxZvfvuu/Lx8dGwYcP05Zdf6siRI0aHBgBwQyT2AFBAgYGBWrdunaKioiRJWVlZ8vf3V1pamsqUKWNwdAAAd8NylwBQQBkZGSpbtqz95xIlSsjX11enTp0yMCoAgLuixx4AnLBkyRIFBATYf7ZarVq+fLl9LXtJateunRGhAQDcDK04AFBAHh5X/tLTYrEoLy+vEKIBALg7EnsAAADABOixB4BC0qZNG6WkpBgdBgDApEjsAaCQrFmzxr7mPQAArkZiDwAAAJgAiT0AAABgAiT2AAAAgAmQ2AMAAAAmQGIPAAAAmACJPQAUQN26dXXy5ElJ0qhRo5SVlXXFc1588UUFBQVd79AAAG6KB1QBQAH4+vpq7969uummm+Tp6amUlBQFBwcbHRYAwI0VMzoAACiKYmJi1KNHDzVp0kQ2m03jxo2Tn5/fRY8dPnx4IUcHAHBHVOwBoAB2796tESNGaP/+/dq8ebOioqJUrFj+WonFYtHmzZsNiBAA4G5I7AHASR4eHkpNTaUVBwBgKBJ7AAAAwATosQcAF9i/f78mTpyonTt3SpKioqLUv39/Va5c2eDIAADuguUuAcBJS5YsUVRUlDZu3Kjo6GhFR0drw4YNqlGjhpYuXWp0eAAAN0ErDgA4qU6dOoqLi9OYMWMcxocMGaLvv/+eybMAgEJBYg8ATvLx8dG2bdsUGRnpML5nzx5FR0fr3LlzBkUGAHAntOIAgJPKlSunpKSkfONJSUmslAMAKDRMngUAJ/Xu3Vt9+vTRgQMH1KhRI0lSYmKixo4dq/j4eIOjAwC4C1pxAMBJNptNEydO1Pjx43XkyBFJUvny5fX888+rX79+slgsBkcIAHAHJPYA4EKnT5+WJJUqVSrfvsTERNWvX1/e3t6FHRYAwA2Q2ANAIfH391dSUpIqVapkdCgAABNi8iwAFBLqKACA64nEHgAAADABEnsAAADABEjsAQAAABMgsQeAQsKylwCA64nEHgAKCZNnAQDXE4k9ADipZcuWSk9PzzeekZGhli1b2n8+ffo0S10CAK4b1rEHACd5eHgoNTVVwcHBDuNHjx5VeHi4zp8/b1BkAAB3UszoAACgqNq6dav9zzt27FBqaqr957y8PC1evFjh4eFGhAYAcENU7AGggDw8POwTYi/2v1JfX1+988476tmzZ2GHBgBwQyT2AFBAv/32m2w2mypVqqSNGzeqXLly9n1eXl4KDg6Wp6engRECANwJiT0AAABgAvTYA4AL7N27VytXrtTRo0dltVod9g0fPtygqAAA7oSKPQA46f3339eTTz6psmXLKjQ01OFBVBaLRZs3bzYwOgCAuyCxBwAn3XzzzXrqqac0ePBgo0MBALgxEnsAcJK/v7+SkpJ4+BQAwFA8eRYAnNSxY0d9//33RocBAHBzTJ4FACdVqVJFL7/8sn788UfVqlVLxYsXd9jfr18/gyIDALgTWnEAwEm33HLLJfdZLBYdOHCgEKMBALgrEnsAAADABOixBwAAAEyAHnsAcFLPnj0vu3/atGmFFAkAwJ2R2AOAk06ePOnw8/nz57V9+3alp6erZcuWBkUFAHA3JPYA4KQvv/wy35jVatWTTz6pypUrGxARAMAdMXkWAK6T3bt3684771RKSorRoQAA3ACTZwHgOtm/f79yc3ONDgMA4CZoxQEAJ8XHxzv8bLPZlJKSooULF6pbt24GRQUAcDe04gCAk1q0aOHws4eHh8qVK6eWLVuqZ8+eKlaMGgoA4PojsQcAAABMgDISALjIsWPHtHv3bklStWrVVK5cOYMjAgC4EybPAoCTMjMz1bNnT4WFhalZs2Zq1qyZypcvr169eikrK8vo8AAAboLEHgCcFB8fr9WrV+ubb75Renq60tPT9dVXX2n16tUaOHCg0eEBANwEPfYA4KSyZctq3rx5uvPOOx3GV65cqYceekjHjh0zJjAAgFuhYg8ATsrKylJISEi+8eDgYFpxAACFhoo9ADipVatWKlOmjGbNmiUfHx9J0tmzZ9WtWzedOHFCy5YtMzhCAIA7ILEHACdt375dcXFxys7OVu3atSVJW7ZskY+Pj5YsWaIaNWoYHCEAwB2Q2AOAC2RlZenjjz/Wrl27JEm33nqrHnvsMfn6+hocGQDAXZDYAwAAACbAA6oAwAWOHDmitWvX6ujRo7JarQ77+vXrZ1BUAAB3QsUeAJw0Y8YMPfHEE/Ly8lKZMmVksVjs+ywWiw4cOGBgdAAAd0FiDwBOqlChgvr27auhQ4fKw4NVhAEAxuBfIABwUlZWlh5++GGSegCAofhXCACc1KtXL82dO9foMAAAbo5WHABwUl5enu677z6dPXtWtWrVUvHixR32T5gwwaDIAADuhFVxAMBJCQkJWrJkiapVqyZJ+SbPAgBQGKjYA4CTSpcurTfffFPdu3c3OhQAgBujxx4AnOTt7a3GjRsbHQYAwM2R2AOAk/r376933nnH6DAAAG6OVhwAcFKHDh20YsUKlSlTRjVq1Mg3eXb+/PkGRQYAcCdMngUAJwUGBur+++83OgwAgJujYg8AAACYAD32AHAdZGRk6N1331X9+vWNDgUA4CZoxQEAF1q5cqWmTZum+fPnKyAgQB06dDA6JACAmyCxBwAnHT58WDNmzND06dOVnp6ukydP6pNPPtFDDz3EA6oAAIWGVhwAKKAvvvhC9957r6pVq6akpCSNHz9eR44ckYeHh2rVqkVSDwAoVFTsAaCAOnXqpMGDB2vOnDkqVaqU0eEAANwcFXsAKKBevXpp8uTJat26taZMmaKTJ08aHRIAwI2R2ANAAU2dOlUpKSnq06ePPv30U4WFhek///mPbDabrFar0eEBANwM69gDgIvs3btX06dP18yZM3XmzBm1adNGDz74IA+vAgAUChJ7AHAxq9WqhQsX6sMPP9R3332n7Oxso0MCALgBEnsAuI6OHj2q4OBgSVKbNm30wQcfKCwszOCoAABmRI89AFxHfyX1krRmzRqdPXvWwGgAAGZGYg8AAACYAIk9AAAAYAIk9gAAAIAJkNgDAAAAJkBiDwAAAJgAiT0AFJIXX3xRQUFBRocBADAp1rEHgAL4+uuvr/rYdu3aXcdIAAC4gMQeAArAw+PqvvC0WCzKy8u7ztEAAEBiDwAAAJgCPfYAAACACRQzOgAAMIPMzEytXr1aycnJysnJcdjXr18/g6ICALgTWnEAwEm//PKL7r33XmVlZSkzM1NBQUE6fvy4SpQooeDgYB04cMDoEAEAboBWHABw0oABA9S2bVudPHlSvr6++vHHH/Xbb7+pXr16GjdunNHhAQDcBBV7AHBSYGCgNmzYoGrVqikwMFDr16/Xrbfeqg0bNqhbt27atWuX0SECANwAFXsAcFLx4sXty18GBwcrOTlZkhQQEKDff//dyNAAAG6EybMA4KQ6derop59+UmRkpJo3b67hw4fr+PHjmj17tmrWrGl0eAAAN0ErDgA46eeff9bp06fVokULHT16VF27dtW6desUGRmpDz/8UDExMUaHCABwAyT2AAAAgAnQYw8ATmrZsqXS09PzjWdkZKhly5aFHxAAwC1RsQcAJ3l4eCg1NVXBwcEO40ePHlV4eLjOnz9vUGQAAHfC5FkAKKCtW7fa/7xjxw6lpqbaf87Ly9PixYsVHh5uRGgAADdExR4ACsjDw0MWi0WSdLH/lfr6+uqdd95Rz549Czs0AIAbIrEHgAL67bffZLPZVKlSJW3cuFHlypWz7/Py8lJwcLA8PT0NjBAA4E5I7AEAAAAToMceAFxg//79mjhxonbu3ClJioqKUv/+/VW5cmWDIwMAuAuWuwQAJy1ZskRRUVHauHGjoqOjFR0drQ0bNqhGjRpaunSp0eEBANwErTgA4KQ6deooLi5OY8aMcRgfMmSIvv/+e23evNmgyAAA7oTEHgCc5OPjo23btikyMtJhfM+ePYqOjta5c+cMigwA4E5oxQEAJ5UrV05JSUn5xpOSkvI9tAoAgOuFybMAUECjRo3SoEGD1Lt3b/Xp00cHDhxQo0aNJEmJiYkaO3as4uPjDY4SAOAuaMUBgALy9PRUSkqKypUrp4kTJ2r8+PE6cuSIJKl8+fJ6/vnn1a9fP/tDrAAAuJ5I7AGggDw8PJSamurQbnP69GlJUqlSpYwKCwDgpmjFAQAn/LsaT0IPADAKFXsAKCAPDw8FBARcsdXmxIkThRQRAMCdUbEHACe88sorCggIMDoMAACo2ANAQV2sxx4AAKOwjj0AFBCr3QAAbiQk9gBQQHzhCQC4kdCKAwAAAJgAFXsAAADABEjsAQAAABMgsQcAAABMgMQeAAAAMAESewAAAMAESOwBAAAAEyCxBwAAAEzg/wCDwbkrq25cNQAAAABJRU5ErkJggg==\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": 95,
   "id": "0ef615f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: >"
      ]
     },
     "execution_count": 95,
     "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": 96,
   "id": "9a85e460",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot: title={'center': 'Total_Amount_of_Payment_USDollars'}>,\n",
       "        <AxesSubplot: title={'center': 'Record_ID'}>],\n",
       "       [<AxesSubplot: title={'center': 'Program_Year'}>, <AxesSubplot: >]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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XV5fm5uYOa1b/vHrNa51wwgmZNm1a5eeWlpYMGzYsY8aMSU1Nzdu46vVHa2trGhoacsABB6R37949vZ31mll3r9Xz/va91VnRVtXT2ynywCn1Pb2FYl7f3cu817T6LnQAAOgKnR7Uli9fnurqjh/N1qtXr7S1/e2ukOHDh6euri4LFy6sBLSWlpbcdddd+epXv5okGTVqVJYtW5ZFixZlxIgRSZJbbrklbW1t2WOPPSprTjzxxLS2tlb+8tDQ0JDtt99+rW/3TJK+ffumb9++axzv3bu3v4C8hpl0H7PuXivaqrJi1boV1Nbl14fXd/cy778zBwAAulKnfynBRz/60XznO9/JDTfckCeeeCLXXHNNzjnnnHzsYx9LklRVVWXq1Kk57bTTct111+X+++/PkUcemaFDh+awww5Lkuy444458MADc9RRR+Xuu+/Or371q0yZMiWHH354hg4dmiT5zGc+kz59+mTixIlZsmRJrrrqqpx33nkd7kADAAAAgM7W6XeoXXDBBfn2t7+df/u3f8szzzyToUOH5stf/nKmT59eWXPcccflpZdeyqRJk7Js2bJ8+MMfzvz589OvX7/KmiuuuCJTpkzJ/vvvn+rq6owbNy7nn39+5fyAAQOyYMGCTJ48OSNGjMhmm22W6dOnZ9KkSZ19SQAAAABQ0elBbZNNNsns2bMze/bs111TVVWVmTNnZubMma+7ZvDgwZk3b94b/q5ddtkld9xxx1vdKgAAAAAU6/S3fAIAAADA+kxQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoICgBgAAAAAFBDUAAAAAKCCoAQAAAEABQQ0AAAAACghqAAAAAFBAUAMAAACAAoIaAAAAABQQ1AAAAACggKAGAAAAAAUENQAAAAAoIKgBAAAAQAFBDQAAAAAKCGoAAAAAUEBQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoICgBgAAAAAFBDUAAAAAKCCoAQAAAEABQQ0AAAAACghqAAAAAFBAUAMAAACAAoIaAAAAABQQ1AAAAACggKAGAAAAAAUENQAAAAAoIKgBAAAAQAFBDQAAAAAKCGoAAAAAUEBQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoICgBgAAAAAFBDUAAAAAKCCoAQAAAEABQQ0AAAAACghqAAAAAFBAUAMAAACAAoIaAAAAABQQ1AAAAACggKAGAAAAAAUENQAAAAAoIKgBAAAAQAFBDQAAAAAKCGoAAAAAUEBQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoICgBgAAAAAFuiSoPfXUU/nsZz+bTTfdNP3798/OO++ce++9t3K+vb0906dPzxZbbJH+/ftn9OjRefTRRzs8x9KlSzN+/PjU1NRk4MCBmThxYl588cUOa373u99l7733Tr9+/TJs2LDMmjWrKy4HAAAAACo6Pag999xz+dCHPpTevXvnpptuyoMPPpizzz47gwYNqqyZNWtWzj///MydOzd33XVXNtpoo9TX1+fll1+urBk/fnyWLFmShoaGXH/99bn99tszadKkyvmWlpaMGTMmW2+9dRYtWpQzzzwzp5xySi6++OLOviQAAAAAqNigs5/wjDPOyLBhw3LJJZdUjg0fPrzy5/b29syePTsnnXRSDj300CTJZZddltra2lx77bU5/PDD89BDD2X+/Pm55557MnLkyCTJBRdckIMPPjhnnXVWhg4dmiuuuCIrV67Mj3/84/Tp0yfvfe97s3jx4pxzzjkdwhsAAAAAdKZOD2rXXXdd6uvr88lPfjK33XZb3vWud+Xf/u3fctRRRyVJHn/88TQ1NWX06NGVxwwYMCB77LFHGhsbc/jhh6exsTEDBw6sxLQkGT16dKqrq3PXXXflYx/7WBobG7PPPvukT58+lTX19fU544wz8txzz3W4I261FStWZMWKFZWfW1pakiStra1pbW3t7FGsk1bPwTy6nll3r9Vz7lvd3sM7Kbcuvka8vruXea/JLAAA6EqdHtT+8Ic/5KKLLsq0adPyrW99K/fcc0++9rWvpU+fPpkwYUKampqSJLW1tR0eV1tbWznX1NSUIUOGdNzoBhtk8ODBHda8+s63Vz9nU1PTWoPa6aefnhkzZqxxfMGCBdlwww3f4hWvnxoaGnp6C+8YZt29Th3Z1tNbKHbjjTf29BbeMq/v7mXef7d8+fKe3gIAAOuxTg9qbW1tGTlyZL773e8mSd7//vfngQceyNy5czNhwoTO/nVFTjjhhEybNq3yc0tLS4YNG5YxY8akpqamB3f2z6O1tTUNDQ054IAD0rt3757eznrNrLvX6nl/+97qrGir6untFHnglPqe3kIxr+/uZd5rWn0XOgAAdIVOD2pbbLFFdtpppw7Hdtxxx/zXf/1XkqSuri5J0tzcnC222KKyprm5ObvttltlzTPPPNPhOV555ZUsXbq08vi6uro0Nzd3WLP659VrXqtv377p27fvGsd79+7tLyCvYSbdx6y714q2qqxYtW4FtXX59eH13b3M++/MAQCArtTp3/L5oQ99KI888kiHY7///e+z9dZbJ/nbFxTU1dVl4cKFlfMtLS256667MmrUqCTJqFGjsmzZsixatKiy5pZbbklbW1v22GOPyprbb7+9w2ekNDQ0ZPvtt1/r2z0BAAAAoDN0elA75phj8utf/zrf/e5389hjj2XevHm5+OKLM3ny5CRJVVVVpk6dmtNOOy3XXXdd7r///hx55JEZOnRoDjvssCR/u6PtwAMPzFFHHZW77747v/rVrzJlypQcfvjhGTp0aJLkM5/5TPr06ZOJEydmyZIlueqqq3Leeed1eEsnAAAAAHS2Tn/L5wc/+MFcc801OeGEEzJz5swMHz48s2fPzvjx4ytrjjvuuLz00kuZNGlSli1blg9/+MOZP39++vXrV1lzxRVXZMqUKdl///1TXV2dcePG5fzzz6+cHzBgQBYsWJDJkydnxIgR2WyzzTJ9+vRMmjSpsy8JAAAAACo6PaglySGHHJJDDjnkdc9XVVVl5syZmTlz5uuuGTx4cObNm/eGv2eXXXbJHXfc8Zb3CQAAAAClOv0tnwAAAACwPhPUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoICgBgAAAAAFBDUAAAAAKCCoAQAAAEABQQ0AAAAACghqAAAAAFBAUAMAAACAAoIaAAAAABQQ1AAAAACggKAGAAAAAAUENQAAAAAoIKgBAAAAQAFBDQAAAAAKCGoAAAAAUEBQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoICgBgAAAAAFBDUAAAAAKCCoAQAAAEABQQ0AAAAACghqAAAAAFBAUAMAAACAAoIaAAAAABQQ1AAAAACggKAGAAAAAAUENQAAAAAoIKgBAAAAQAFBDQAAAAAKCGoAAAAAUEBQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoICgBgAAAAAFBDUAAAAAKCCoAQAAAEABQQ0AAAAACghqAAAAAFBAUAMAAACAAoIaAAAAABQQ1AAAAACggKAGAAAAAAUENQAAAAAoIKgBAAAAQAFBDQAAAAAKCGoAAAAAUEBQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoICgBgAAAAAFBDUAAAAAKCCoAQAAAECBLg9q3/ve91JVVZWpU6dWjr388suZPHlyNt1002y88cYZN25cmpubOzzuySefzNixY7PhhhtmyJAhOfbYY/PKK690WHPrrbfmAx/4QPr27Zvtttsul156aVdfDgAAAADvcF0a1O6555784Ac/yC677NLh+DHHHJOf//znufrqq3Pbbbfl6aefzsc//vHK+VWrVmXs2LFZuXJl7rzzzvzkJz/JpZdemunTp1fWPP744xk7dmz222+/LF68OFOnTs2XvvSl3HzzzV15SQAAAAC8w3VZUHvxxRczfvz4/PCHP8ygQYMqx59//vn86Ec/yjnnnJOPfOQjGTFiRC655JLceeed+fWvf50kWbBgQR588MFcfvnl2W233XLQQQfl1FNPzZw5c7Jy5cokydy5czN8+PCcffbZ2XHHHTNlypR84hOfyLnnnttVlwQAAAAA2aCrnnjy5MkZO3ZsRo8endNOO61yfNGiRWltbc3o0aMrx3bYYYdstdVWaWxszJ577pnGxsbsvPPOqa2traypr6/PV7/61SxZsiTvf//709jY2OE5Vq959VtLX2vFihVZsWJF5eeWlpYkSWtra1pbW9/uJa8XVs/BPLqeWXev1XPuW93ewzspty6+Rry+u5d5r8ksAADoSl0S1K688sr85je/yT333LPGuaampvTp0ycDBw7scLy2tjZNTU2VNa+OaavPrz73RmtaWlry17/+Nf3791/jd59++umZMWPGGscXLFiQDTfc8M1f4DtAQ0NDT2/hHcOsu9epI9t6egvFbrzxxp7ewlvm9d29zPvvli9f3tNbAABgPdbpQe1Pf/pTvv71r6ehoSH9+vXr7Kd/W0444YRMmzat8nNLS0uGDRuWMWPGpKampgd39s+jtbU1DQ0NOeCAA9K7d++e3s56zay71+p5f/ve6qxoq+rp7RR54JT6nt5CMa/v7mXea1p9FzoAAHSFTg9qixYtyjPPPJMPfOADlWOrVq3K7bffngsvvDA333xzVq5cmWXLlnW4S625uTl1dXVJkrq6utx9990dnnf1t4C+es1rvxm0ubk5NTU1a707LUn69u2bvn37rnG8d+/e/gLyGmbSfcy6e61oq8qKVetWUFuXXx9e393LvP/OHAAA6Eqd/qUE+++/f+6///4sXry48s/IkSMzfvz4yp979+6dhQsXVh7zyCOP5Mknn8yoUaOSJKNGjcr999+fZ555prKmoaEhNTU12WmnnSprXv0cq9esfg4AAAAA6AqdfofaJptskve9730djm200UbZdNNNK8cnTpyYadOmZfDgwampqcnRRx+dUaNGZc8990ySjBkzJjvttFM+97nPZdasWWlqaspJJ52UyZMnV+4w+8pXvpILL7wwxx13XL74xS/mlltuyU9/+tPccMMNnX1JAAAAAFDRZd/y+UbOPffcVFdXZ9y4cVmxYkXq6+vz/e9/v3K+V69euf766/PVr341o0aNykYbbZQJEyZk5syZlTXDhw/PDTfckGOOOSbnnXdettxyy/zHf/xH6uvXvc8aAgAAAGDd0S1B7dZbb+3wc79+/TJnzpzMmTPndR+z9dZb/8Nvttt3331z3333dcYWAQAAAOBN6fTPUAMAAACA9ZmgBgAAAAAFBDUAAAAAKCCoAQAAAEABQQ0AAAAACghqAAAAAFBAUAMAAACAAoIaAAAAABQQ1AAAAACggKAGAAAAAAUENQAAAAAoIKgBAAAAQAFBDQAAAAAKCGoAAAAAUEBQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoICgBgAAAAAFBDUAAAAAKCCoAQAAAEABQQ0AAAAACghqAAAAAFBAUAMAAACAAoIaAAAAABQQ1AAAAACggKAGAAAAAAUENQAAAAAoIKgBAAAAQAFBDQAAAAAKCGoAAAAAUEBQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoICgBgAAAAAFBDUAAAAAKCCoAQAAAEABQQ0AAAAACghqAAAAAFBAUAMAAACAAoIaAAAAABQQ1AAAAACggKAGAAAAAAUENQAAAAAoIKgBAAAAQAFBDQAAAAAKCGoAAAAAUEBQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoICgBgAAAAAFBDUAAAAAKCCoAQAAAEABQQ0AAAAACghqAAAAAFBAUAMAAACAAoIaAAAAABQQ1AAAAACggKAGAAAAAAUENQAAAAAoIKgBAAAAQIFOD2qnn356PvjBD2aTTTbJkCFDcthhh+WRRx7psObll1/O5MmTs+mmm2bjjTfOuHHj0tzc3GHNk08+mbFjx2bDDTfMkCFDcuyxx+aVV17psObWW2/NBz7wgfTt2zfbbbddLr300s6+HAAAAADooNOD2m233ZbJkyfn17/+dRoaGtLa2poxY8bkpZdeqqw55phj8vOf/zxXX311brvttjz99NP5+Mc/Xjm/atWqjB07NitXrsydd96Zn/zkJ7n00kszffr0yprHH388Y8eOzX777ZfFixdn6tSp+dKXvpSbb765sy8JAAAAACo26OwnnD9/foefL7300gwZMiSLFi3KPvvsk+effz4/+tGPMm/evHzkIx9JklxyySXZcccd8+tf/zp77rlnFixYkAcffDC/+MUvUltbm9122y2nnnpqvvnNb+aUU05Jnz59Mnfu3AwfPjxnn312kmTHHXfML3/5y5x77rmpr6/v7MsCAAAAgCRdENRe6/nnn0+SDB48OEmyaNGitLa2ZvTo0ZU1O+ywQ7baaqs0NjZmzz33TGNjY3beeefU1tZW1tTX1+erX/1qlixZkve///1pbGzs8Byr10ydOvV197JixYqsWLGi8nNLS0uSpLW1Na2trW/7WtcHq+dgHl3PrLvX6jn3rW7v4Z2UWxdfI17f3cu812QWAAB0pS4Nam1tbZk6dWo+9KEP5X3ve1+SpKmpKX369MnAgQM7rK2trU1TU1Nlzatj2urzq8+90ZqWlpb89a9/Tf/+/dfYz+mnn54ZM2ascXzBggXZcMMN39pFrqcaGhp6egvvGGbdvU4d2dbTWyh244039vQW3jKv7+5l3n+3fPnynt4CAADrsS4NapMnT84DDzyQX/7yl135a960E044IdOmTav83NLSkmHDhmXMmDGpqanpwZ3982htbU1DQ0MOOOCA9O7du6e3s14z6+61et7fvrc6K9qqeno7RR44Zd17G7vXd/cy7zWtvgsdAAC6QpcFtSlTpuT666/P7bffni233LJyvK6uLitXrsyyZcs63KXW3Nycurq6ypq77767w/Ot/hbQV6957TeDNjc3p6amZq13pyVJ375907dv3zWO9+7d219AXsNMuo9Zd68VbVVZsWrdCmrr8uvD67t7mfffmQMAAF2p07/ls729PVOmTMk111yTW265JcOHD+9wfsSIEendu3cWLlxYOfbII4/kySefzKhRo5Iko0aNyv33359nnnmmsqahoSE1NTXZaaedKmte/Ryr16x+DgAAAADoCp1+h9rkyZMzb968/OxnP8smm2xS+cyzAQMGpH///hkwYEAmTpyYadOmZfDgwampqcnRRx+dUaNGZc8990ySjBkzJjvttFM+97nPZdasWWlqaspJJ52UyZMnV+4w+8pXvpILL7wwxx13XL74xS/mlltuyU9/+tPccMMNnX1JAAAAAFDR6XeoXXTRRXn++eez7777Zosttqj8c9VVV1XWnHvuuTnkkEMybty47LPPPqmrq8v/+T//p3K+V69euf7669OrV6+MGjUqn/3sZ3PkkUdm5syZlTXDhw/PDTfckIaGhuy66645++yz8x//8R+pr1/3PmsIAAAAgHVHp9+h1t7e/g/X9OvXL3PmzMmcOXNed83WW2/9D7/Zbt999819991XvEcAAAAAeKs6/Q41AAAAAFifCWoAAAAAUEBQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoICgBgAAAAAFBDUAAAAAKCCoAQAAAEABQQ0AAAAACghqAAAAAFBAUAMAAACAAoIaAAAAABQQ1AAAAACggKAGAAAAAAUENQAAAAAoIKgBAAAAQAFBDQAAAAAKCGoAAAAAUEBQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoICgBgAAAAAFBDUAAAAAKCCoAQAAAEABQQ0AAAAACghqAAAAAFBAUAMAAACAAoIaAAAAABQQ1AAAAACggKAGAAAAAAUENQAAAAAoIKgBAAAAQAFBDQAAAAAKCGoAAAAAUEBQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoICgBgAAAAAFBDUAAAAAKCCoAQAAAEABQQ0AAAAACghqAAAAAFBAUAMAAACAAoIaAAAAABQQ1AAAAACggKAGAAAAAAUENQAAAAAoIKgBAAAAQAFBDQAAAAAKCGoAAAAAUEBQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAAUENAAAAAAoIagAAAABQQFADAAAAgAKCGgAAAAAUENQAAAAAoMA6H9TmzJmTbbbZJv369csee+yRu+++u6e3BAAAAMB6bJ0OaldddVWmTZuWk08+Ob/5zW+y6667pr6+Ps8880xPbw0AAACA9dQ6HdTOOeecHHXUUfnCF76QnXbaKXPnzs2GG26YH//4xz29NQAAAADWUxv09AbeqpUrV2bRokU54YQTKseqq6szevToNDY2rvUxK1asyIoVKyo/P//880mSpUuXprW1tWs3vI5obW3N8uXL85e//CW9e/fu6e2s18y6e62e9wat1VnVVtXT2ynyl7/8pae3UMzru3uZ95peeOGFJEl7e3sP7wQAgPXROhvU/vznP2fVqlWpra3tcLy2tjYPP/zwWh9z+umnZ8aMGWscHz58eJfsEaAzbHZ2T+8A1l0vvPBCBgwY0NPbAABgPbPOBrW34oQTTsi0adMqP7e1tWXp0qXZdNNNU1W1bt2x0lVaWloybNiw/OlPf0pNTU1Pb2e9Ztbdy7y7l3l3L/NeU3t7e1544YUMHTq0p7cCAMB6aJ0Naptttll69eqV5ubmDsebm5tTV1e31sf07ds3ffv27XBs4MCBXbXFdVpNTY2/lHUTs+5e5t29zLt7mXdH7kwDAKCrrLNfStCnT5+MGDEiCxcurBxra2vLwoULM2rUqB7cGQAAAADrs3X2DrUkmTZtWiZMmJCRI0dm9913z+zZs/PSSy/lC1/4Qk9vDQAAAID11Dod1D796U/n2WefzfTp09PU1JTddtst8+fPX+OLCnjz+vbtm5NPPnmNt8bS+cy6e5l39zLv7mXeAADQvarafZ88AAAAALxp6+xnqAEAAABATxDUAAAAAKCAoAYAAAAABQQ1AAAAACggqL3DLV26NOPHj09NTU0GDhyYiRMn5sUXX3xTj21vb89BBx2UqqqqXHvttV270fVE6byXLl2ao48+Ottvv3369++frbbaKl/72tfy/PPPd+Ou1x1z5szJNttsk379+mWPPfbI3Xff/Ybrr7766uywww7p169fdt5559x4443dtNP1Q8m8f/jDH2bvvffOoEGDMmjQoIwePfof/vuho9LX92pXXnllqqqqcthhh3XtBgEA4B1EUHuHGz9+fJYsWZKGhoZcf/31uf322zNp0qQ39djZs2enqqqqi3e4fimd99NPP52nn346Z511Vh544IFceumlmT9/fiZOnNiNu143XHXVVZk2bVpOPvnk/OY3v8muu+6a+vr6PPPMM2tdf+edd+aII47IxIkTc9999+Wwww7LYYcdlgceeKCbd75uKp33rbfemiOOOCL/9//+3zQ2NmbYsGEZM2ZMnnrqqW7e+bqpdN6rPfHEE/nGN76Rvffeu5t2CgAA7wxV7e3t7T29CXrGQw89lJ122in33HNPRo4cmSSZP39+Dj744PzP//xPhg4d+rqPXbx4cQ455JDce++92WKLLXLNNde4++EfeDvzfrWrr746n/3sZ/PSSy9lgw026Motr1P22GOPfPCDH8yFF16YJGlra8uwYcNy9NFH5/jjj19j/ac//em89NJLuf766yvH9txzz+y2226ZO3dut+17XVU679datWpVBg0alAsvvDBHHnlkV293nfdW5r1q1arss88++eIXv5g77rgjy5YtczcxAAB0EneovYM1NjZm4MCBlbiTJKNHj051dXXuuuuu133c8uXL85nPfCZz5sxJXV1dd2x1vfBW5/1azz//fGpqasS0V1m5cmUWLVqU0aNHV45VV1dn9OjRaWxsXOtjGhsbO6xPkvr6+tddz9+9lXm/1vLly9Pa2prBgwd31TbXG2913jNnzsyQIUPc0QoAAF3A38jfwZqamjJkyJAOxzbYYIMMHjw4TU1Nr/u4Y445JnvttVcOPfTQrt7ieuWtzvvV/vznP+fUU09902/Lfaf485//nFWrVqW2trbD8dra2jz88MNrfUxTU9Na17/ZfxfvZG9l3q/1zW9+M0OHDl0jarKmtzLvX/7yl/nRj36UxYsXd8MOAQDgnccdauuh448/PlVVVW/4z5v9S+9rXXfddbnlllsye/bszt30Oqwr5/1qLS0tGTt2bHbaaaeccsopb3/j0EO+973v5corr8w111yTfv369fR21jsvvPBCPve5z+WHP/xhNttss57eDgAArJfcobYe+vd///d8/vOff8M1//Iv/5K6uro1PtD6lVdeydKlS1/3rZy33HJL/vu//zsDBw7scHzcuHHZe++9c+utt76Nna+bunLeq73wwgs58MADs8kmm+Saa65J79693+621yubbbZZevXqlebm5g7Hm5ubX3e2dXV1Rev5u7cy79XOOuusfO9738svfvGL7LLLLl25zfVG6bz/+7//O0888UQ++tGPVo61tbUl+dtdsY888ki23Xbbrt00AACs5wS19dDmm2+ezTff/B+uGzVqVJYtW5ZFixZlxIgRSf4WzNra2rLHHnus9THHH398vvSlL3U4tvPOO+fcc8/t8Je3d5KunHfytzvT6uvr07dv31x33XXu6FmLPn36ZMSIEVm4cGHlyzHa2tqycOHCTJkyZa2PGTVqVBYuXJipU6dWjjU0NGTUqFHdsON121uZd5LMmjUr3/nOd3LzzTd3+CxB3ljpvHfYYYfcf//9HY6ddNJJeeGFF3Leeedl2LBh3bFtAABYrwlq72A77rhjDjzwwBx11FGZO3duWltbM2XKlBx++OGVb5x86qmnsv/+++eyyy7L7rvvnrq6urXeEbHVVltl+PDh3X0J65S3Mu+WlpaMGTMmy5cvz+WXX56Wlpa0tLQk+VvI69WrV09e0j+VadOmZcKECRk5cmR23333zJ49Oy+99FK+8IUvJEmOPPLIvOtd78rpp5+eJPn617+ef/3Xf83ZZ5+dsWPH5sorr8y9996biy++uCcvY51ROu8zzjgj06dPz7x587LNNttUPqtu4403zsYbb9xj17GuKJl3v3798r73va/D41ffVfza4wAAwFsjqL3DXXHFFZkyZUr233//VFdXZ9y4cTn//PMr51tbW/PII49k+fLlPbjL9UfpvH/zm99UvgF0u+226/Bcjz/+eLbZZptu2/s/u09/+tN59tlnM3369DQ1NWW33XbL/PnzKx/k/uSTT6a6+u8fG7nXXntl3rx5Oemkk/Ktb30r7373u3PttdcKDm9S6bwvuuiirFy5Mp/4xCc6PM/JJ5/sMwHfhNJ5AwAAXauqvb29vac3AQAAAADrCv93NgAAAAAUENQAAAAAoICgBgAAAAAFBDUAAAAAKCCoAQAAAEABQQ0AAAAACghqAAAAAFBAUAMA1uqJJ57IxIkTM3z48PTv3z/bbrttTj755KxcufINH/fyyy9n8uTJ2XTTTbPxxhtn3LhxaW5urpz/7W9/myOOOCLDhg1L//79s+OOO+a8884r3t+Xv/zlbLvttunfv38233zzHHrooXn44YeLnwcAAEoJagDwDrfvvvvm0ksvXeP4ww8/nLa2tvzgBz/IkiVLcu6552bu3Ln51re+9YbPd8wxx+TnP/95rr766tx22215+umn8/GPf7xyftGiRRkyZEguv/zyLFmyJCeeeGJOOOGEXHjhhUX7HjFiRC655JI89NBDufnmm9Pe3p4xY8Zk1apVRc8DAAClqtrb29t7ehMAQM/Zd9998/nPfz6f//zn/+HaM888MxdddFH+8Ic/rPX8888/n8033zzz5s3LJz7xiSR/C3M77rhjGhsbs+eee671cZMnT85DDz2UW265pXLsZz/7WWbMmJEHH3wwQ4cOzYQJE3LiiSdmgw02WOtz/O53v8uuu+6axx57LNtuu+0/vBYAAHir3KEGALxpzz//fAYPHvy65xctWpTW1taMHj26cmyHHXbIVlttlcbGxjf9vHfccUeOPPLIfP3rX8+DDz6YH/zgB7n00kvzne98Z62Pf+mll3LJJZdk+PDhGTZs2Fu4MgAAePMENQDgTXnsscdywQUX5Mtf/vLrrmlqakqfPn0ycODADsdra2vT1NS01sfceeedueqqqzJp0qTKsRkzZuT444/PhAkT8i//8i854IADcuqpp+YHP/hBh8d+//vfz8Ybb5yNN944N910UxoaGtKnT5+3fpEAAPAmCGoA8A7z3e9+txKhNt5449xxxx35yle+0uHYk08+2eExTz31VA488MB88pOfzFFHHdVpe3nggQdy6KGH5uSTT86YMWMqx3/7299m5syZHfZ01FFH5f/9v/+X5cuXV9aNHz8+9913X2677ba85z3vyac+9am8/PLLnbY/AABYm7V/CAkAsN76yle+kk996lOVn8ePH59x48Z1+OKAoUOHVv789NNPZ7/99stee+2Viy+++A2fu66uLitXrsyyZcs63KXW3Nycurq6DmsffPDB7L///pk0aVJOOumkDudefPHFzJgxo8OeVuvXr1/lzwMGDMiAAQPy7ne/O3vuuWcGDRqUa665JkccccQbDwEAAN4GQQ0A3mEGDx7c4fPK+vfvnyFDhmS77bZbY+1TTz2V/fbbr/KNmtXVb3xz+4gRI9K7d+8sXLgw48aNS5I88sgjefLJJzNq1KjKuiVLluQjH/lIJkyYsNbPRfvABz6QRx55ZK17ej3t7e1pb2/PihUr3vRjAADgrRDUAIC1euqpp7Lvvvtm6623zllnnZVnn322cm713WZPPfVU9t9//1x22WXZfffdM2DAgEycODHTpk3L4MGDU1NTk6OPPjqjRo2qfMPnAw88kI985COpr6/PtGnTKp+t1qtXr2y++eZJkunTp+eQQw7JVlttlU984hOprq7Ob3/72zzwwAM57bTT8oc//CFXXXVVxowZk8033zz/8z//k+9973vp379/Dj744G6eFAAA7zSCGgCwVg0NDXnsscfy2GOPZcstt+xwrr29PUnS2tqaRx55pMPnmp177rmprq7OuHHjsmLFitTX1+f73/9+5fz//t//O88++2wuv/zyXH755ZXjW2+9dZ544okkSX19fa6//vrMnDkzZ5xxRnr37p0ddtghX/rSl5L87W2fd9xxR2bPnp3nnnsutbW12WeffXLnnXdmyJAhXTUSAABIklS1r/5fxAAAAADAP+RbPgEAAACggKAGAAAAAAUENQAAAAAoIKgBAAAAQAFBDQAAAAAKCGoAAAAAUEBQAwAAAIACghoAAAAAFBDUAAAAAKCAoAYAAAAABQQ1AAAAACggqAEAAABAgf8P7RuR74RknqAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1500x1500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.hist(figsize = (15,15))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "f216f1fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Save to new file \n",
    "df.to_csv('2020resarchpaymentdata_prepared.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c6a892de",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}