month_analysis.ipynb

{
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   "execution_count": 1,
   "id": "initial_id",
   "metadata": {
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    "ExecuteTime": {
     "end_time": "2023-11-27T07:11:51.772954Z",
     "start_time": "2023-11-27T07:11:51.768196Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "# Import data\n",
    "data_url1 = 'https://www.dol.gov/sites/dolgov/files/ETA/oflc/pdfs/PERM_Disclosure_Data_FY2023_Q4.xlsx'\n",
    "data_url2 = 'https://www.dol.gov/sites/dolgov/files/ETA/oflc/pdfs/PERM_Disclosure_Data_FY2022_Q4.xlsx'\n",
    "df = pd.concat([pd.read_excel(data_url2), pd.read_excel(data_url1)])"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-27T07:14:31.864297Z",
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   "id": "b2e87cb62a3edf5d"
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  {
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   "execution_count": 2,
   "outputs": [],
   "source": [],
   "metadata": {
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    "ExecuteTime": {
     "end_time": "2023-11-27T07:14:31.868305Z",
     "start_time": "2023-11-27T07:14:31.864517Z"
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   "id": "eabe9be7c2037b30"
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  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "data": {
      "text/plain": "          CASE_NUMBER        CASE_STATUS RECEIVED_DATE DECISION_DATE REFILE  \\\n0       A-20345-31895  Certified-Expired    2021-04-22    2021-10-01      N   \n1       A-21068-59828  Certified-Expired    2021-04-20    2021-10-01      N   \n2       A-20318-20833  Certified-Expired    2020-11-16    2021-10-01      N   \n3       A-21083-65884  Certified-Expired    2021-04-16    2021-10-01      N   \n4       A-21098-71922  Certified-Expired    2021-04-13    2021-10-01      N   \n...               ...                ...           ...           ...    ...   \n116422  A-23144-46945          Withdrawn    2023-05-24    2023-09-29      N   \n116423  A-23144-46992          Withdrawn    2023-05-24    2023-09-29      N   \n116424  A-23144-46995          Withdrawn    2023-05-24    2023-09-29      N   \n116425  A-23144-46997          Withdrawn    2023-05-24    2023-09-29      N   \n116426  A-23144-46999          Withdrawn    2023-05-24    2023-09-29      N   \n\n       ORIG_FILE_DATE PREVIOUS_SWA_CASE_NUMBER_STATE SCHD_A_SHEEPHERDER  \\\n0                 NaT                            NaN                  N   \n1                 NaT                            NaN                  N   \n2                 NaT                            NaN                  N   \n3                 NaT                            NaN                  N   \n4                 NaT                            NaN                  N   \n...               ...                            ...                ...   \n116422            NaT                            NaN                  N   \n116423            NaT                            NaN                  N   \n116424            NaT                            NaN                  N   \n116425            NaT                            NaN                  N   \n116426            NaT                            NaN                  N   \n\n                   EMPLOYER_NAME      EMPLOYER_ADDRESS_1  ...  \\\n0                VIGO INDUSTRIES    VIGO INDUSTRIES, LLC  ...   \n1       VESUVIUS USA CORPORATION       1404 NEWTON DRIVE  ...   \n2          Kikkerland Design Inc  666 Broadway 4th Floor  ...   \n3                      yalai inc        3 Old Concord Rd  ...   \n4                 VIACOMCBS INC.       680 FOLSOM STREET  ...   \n...                          ...                     ...  ...   \n116422              WL Nails Inc          7122 Market St  ...   \n116423              WL Nails Inc          7122 Market St  ...   \n116424              WL Nails Inc          7122 Market St  ...   \n116425              WL Nails Inc          7122 Market St  ...   \n116426              WL Nails Inc          7122 Market St  ...   \n\n       EMPLOYER_COMPLETED_APPLICATION    PREPARER_NAME PREPARER_TITLE  \\\n0                                   N        Hui  Zeng       Attorney   \n1                                   N  Frances P Rayer         Member   \n2                                   N   PETER T JENSEN       ATTORNEY   \n3                                   N          Ge  Lei       Attorney   \n4                                   N    Laura F Reiff       Attorney   \n...                               ...              ...            ...   \n116422                              N         Tan  Bui         Lawyer   \n116423                              N         Tan  Bui         Lawyer   \n116424                              N         Tan  Bui         Lawyer   \n116425                              N         Tan  Bui         Lawyer   \n116426                              N         Tan  Bui         Lawyer   \n\n                 PREPARER_EMAIL   EMP_INFO_DECL_NAME  \\\n0          hui@zenglawgroup.com   Spresime  Bekteshi   \n1              frayer@cozen.com  Tricia  Rosenberger   \n2        PTJENSEN@JENSENLAW.COM        LOREN S ROWER   \n3       linda.lei@getechlaw.com        Huiqing  Chen   \n4              ReiffL@gtlaw.com       Kimberly  Wong   \n...                         ...                  ...   \n116422   tanbui.13192@gmail.com        Haily  Nguyen   \n116423   tanbui.13192@gmail.com        Haily  Nguyen   \n116424   tanbui.13192@gmail.com        Haily  Nguyen   \n116425   tanbui.13192@gmail.com        Haily  Nguyen   \n116426   tanbui.13192@gmail.com        Haily  Nguyen   \n\n                           EMP_DECL_TITLE EMPLOYER_YEAR_COMMENCED_BUSINESS  \\\n0                              HR Manager                              NaN   \n1           Sr. Regional HR Manager NAFTA                              NaN   \n2                                     CFO                              NaN   \n3                               President                              NaN   \n4       Senior Human Resources Specialist                              NaN   \n...                                   ...                              ...   \n116422                              Owner                           2015.0   \n116423                              Owner                           2015.0   \n116424                              Owner                           2015.0   \n116425                              Owner                           2015.0   \n116426                              Owner                           2015.0   \n\n        FOREIGN_WORKER_LIVE_IN_DOM_SVC_CNT  DECISION_DATE_MONTH  \\\n0                                      NaN              2021-10   \n1                                      NaN              2021-10   \n2                                      NaN              2021-10   \n3                                      NaN              2021-10   \n4                                      NaN              2021-10   \n...                                    ...                  ...   \n116422                                 NaN              2023-09   \n116423                                 NaN              2023-09   \n116424                                 NaN              2023-09   \n116425                                 NaN              2023-09   \n116426                                 NaN              2023-09   \n\n       DECISION_DATE_YEAR  \n0                    2021  \n1                    2021  \n2                    2021  \n3                    2021  \n4                    2021  \n...                   ...  \n116422               2023  \n116423               2023  \n116424               2023  \n116425               2023  \n116426               2023  \n\n[221027 rows x 158 columns]",
      "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>CASE_NUMBER</th>\n      <th>CASE_STATUS</th>\n      <th>RECEIVED_DATE</th>\n      <th>DECISION_DATE</th>\n      <th>REFILE</th>\n      <th>ORIG_FILE_DATE</th>\n      <th>PREVIOUS_SWA_CASE_NUMBER_STATE</th>\n      <th>SCHD_A_SHEEPHERDER</th>\n      <th>EMPLOYER_NAME</th>\n      <th>EMPLOYER_ADDRESS_1</th>\n      <th>...</th>\n      <th>EMPLOYER_COMPLETED_APPLICATION</th>\n      <th>PREPARER_NAME</th>\n      <th>PREPARER_TITLE</th>\n      <th>PREPARER_EMAIL</th>\n      <th>EMP_INFO_DECL_NAME</th>\n      <th>EMP_DECL_TITLE</th>\n      <th>EMPLOYER_YEAR_COMMENCED_BUSINESS</th>\n      <th>FOREIGN_WORKER_LIVE_IN_DOM_SVC_CNT</th>\n      <th>DECISION_DATE_MONTH</th>\n      <th>DECISION_DATE_YEAR</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>A-20345-31895</td>\n      <td>Certified-Expired</td>\n      <td>2021-04-22</td>\n      <td>2021-10-01</td>\n      <td>N</td>\n      <td>NaT</td>\n      <td>NaN</td>\n      <td>N</td>\n      <td>VIGO INDUSTRIES</td>\n      <td>VIGO INDUSTRIES, LLC</td>\n      <td>...</td>\n      <td>N</td>\n      <td>Hui  Zeng</td>\n      <td>Attorney</td>\n      <td>hui@zenglawgroup.com</td>\n      <td>Spresime  Bekteshi</td>\n      <td>HR Manager</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>2021-10</td>\n      <td>2021</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>A-21068-59828</td>\n      <td>Certified-Expired</td>\n      <td>2021-04-20</td>\n      <td>2021-10-01</td>\n      <td>N</td>\n      <td>NaT</td>\n      <td>NaN</td>\n      <td>N</td>\n      <td>VESUVIUS USA CORPORATION</td>\n      <td>1404 NEWTON DRIVE</td>\n      <td>...</td>\n      <td>N</td>\n      <td>Frances P Rayer</td>\n      <td>Member</td>\n      <td>frayer@cozen.com</td>\n      <td>Tricia  Rosenberger</td>\n      <td>Sr. Regional HR Manager NAFTA</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>2021-10</td>\n      <td>2021</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>A-20318-20833</td>\n      <td>Certified-Expired</td>\n      <td>2020-11-16</td>\n      <td>2021-10-01</td>\n      <td>N</td>\n      <td>NaT</td>\n      <td>NaN</td>\n      <td>N</td>\n      <td>Kikkerland Design Inc</td>\n      <td>666 Broadway 4th Floor</td>\n      <td>...</td>\n      <td>N</td>\n      <td>PETER T JENSEN</td>\n      <td>ATTORNEY</td>\n      <td>PTJENSEN@JENSENLAW.COM</td>\n      <td>LOREN S ROWER</td>\n      <td>CFO</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>2021-10</td>\n      <td>2021</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>A-21083-65884</td>\n      <td>Certified-Expired</td>\n      <td>2021-04-16</td>\n      <td>2021-10-01</td>\n      <td>N</td>\n      <td>NaT</td>\n      <td>NaN</td>\n      <td>N</td>\n      <td>yalai inc</td>\n      <td>3 Old Concord Rd</td>\n      <td>...</td>\n      <td>N</td>\n      <td>Ge  Lei</td>\n      <td>Attorney</td>\n      <td>linda.lei@getechlaw.com</td>\n      <td>Huiqing  Chen</td>\n      <td>President</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>2021-10</td>\n      <td>2021</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>A-21098-71922</td>\n      <td>Certified-Expired</td>\n      <td>2021-04-13</td>\n      <td>2021-10-01</td>\n      <td>N</td>\n      <td>NaT</td>\n      <td>NaN</td>\n      <td>N</td>\n      <td>VIACOMCBS INC.</td>\n      <td>680 FOLSOM STREET</td>\n      <td>...</td>\n      <td>N</td>\n      <td>Laura F Reiff</td>\n      <td>Attorney</td>\n      <td>ReiffL@gtlaw.com</td>\n      <td>Kimberly  Wong</td>\n      <td>Senior Human Resources Specialist</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>2021-10</td>\n      <td>2021</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>116422</th>\n      <td>A-23144-46945</td>\n      <td>Withdrawn</td>\n      <td>2023-05-24</td>\n      <td>2023-09-29</td>\n      <td>N</td>\n      <td>NaT</td>\n      <td>NaN</td>\n      <td>N</td>\n      <td>WL Nails Inc</td>\n      <td>7122 Market St</td>\n      <td>...</td>\n      <td>N</td>\n      <td>Tan  Bui</td>\n      <td>Lawyer</td>\n      <td>tanbui.13192@gmail.com</td>\n      <td>Haily  Nguyen</td>\n      <td>Owner</td>\n      <td>2015.0</td>\n      <td>NaN</td>\n      <td>2023-09</td>\n      <td>2023</td>\n    </tr>\n    <tr>\n      <th>116423</th>\n      <td>A-23144-46992</td>\n      <td>Withdrawn</td>\n      <td>2023-05-24</td>\n      <td>2023-09-29</td>\n      <td>N</td>\n      <td>NaT</td>\n      <td>NaN</td>\n      <td>N</td>\n      <td>WL Nails Inc</td>\n      <td>7122 Market St</td>\n      <td>...</td>\n      <td>N</td>\n      <td>Tan  Bui</td>\n      <td>Lawyer</td>\n      <td>tanbui.13192@gmail.com</td>\n      <td>Haily  Nguyen</td>\n      <td>Owner</td>\n      <td>2015.0</td>\n      <td>NaN</td>\n      <td>2023-09</td>\n      <td>2023</td>\n    </tr>\n    <tr>\n      <th>116424</th>\n      <td>A-23144-46995</td>\n      <td>Withdrawn</td>\n      <td>2023-05-24</td>\n      <td>2023-09-29</td>\n      <td>N</td>\n      <td>NaT</td>\n      <td>NaN</td>\n      <td>N</td>\n      <td>WL Nails Inc</td>\n      <td>7122 Market St</td>\n      <td>...</td>\n      <td>N</td>\n      <td>Tan  Bui</td>\n      <td>Lawyer</td>\n      <td>tanbui.13192@gmail.com</td>\n      <td>Haily  Nguyen</td>\n      <td>Owner</td>\n      <td>2015.0</td>\n      <td>NaN</td>\n      <td>2023-09</td>\n      <td>2023</td>\n    </tr>\n    <tr>\n      <th>116425</th>\n      <td>A-23144-46997</td>\n      <td>Withdrawn</td>\n      <td>2023-05-24</td>\n      <td>2023-09-29</td>\n      <td>N</td>\n      <td>NaT</td>\n      <td>NaN</td>\n      <td>N</td>\n      <td>WL Nails Inc</td>\n      <td>7122 Market St</td>\n      <td>...</td>\n      <td>N</td>\n      <td>Tan  Bui</td>\n      <td>Lawyer</td>\n      <td>tanbui.13192@gmail.com</td>\n      <td>Haily  Nguyen</td>\n      <td>Owner</td>\n      <td>2015.0</td>\n      <td>NaN</td>\n      <td>2023-09</td>\n      <td>2023</td>\n    </tr>\n    <tr>\n      <th>116426</th>\n      <td>A-23144-46999</td>\n      <td>Withdrawn</td>\n      <td>2023-05-24</td>\n      <td>2023-09-29</td>\n      <td>N</td>\n      <td>NaT</td>\n      <td>NaN</td>\n      <td>N</td>\n      <td>WL Nails Inc</td>\n      <td>7122 Market St</td>\n      <td>...</td>\n      <td>N</td>\n      <td>Tan  Bui</td>\n      <td>Lawyer</td>\n      <td>tanbui.13192@gmail.com</td>\n      <td>Haily  Nguyen</td>\n      <td>Owner</td>\n      <td>2015.0</td>\n      <td>NaN</td>\n      <td>2023-09</td>\n      <td>2023</td>\n    </tr>\n  </tbody>\n</table>\n<p>221027 rows × 158 columns</p>\n</div>"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get a visualisation of count of case per decision date month\n",
    "df['DECISION_DATE_MONTH'] = df['DECISION_DATE'].dt.to_period('M')\n",
    "df['DECISION_DATE_YEAR'] = df['DECISION_DATE'].dt.to_period('Y')\n",
    "df"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-27T07:14:32.071154Z",
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    }
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   "id": "eb0fbeb3f5ff2b51"
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "data": {
      "text/plain": "DECISION_DATE_MONTH\n2021-10     8293\n2021-11     9569\n2021-12     9807\n2022-01     9958\n2022-02     9210\n2022-03    10516\n2022-04     9187\n2022-05    10037\n2022-06     6735\n2022-07     5846\n2022-08     7827\n2022-09     7615\n2022-10     7347\n2022-11     7965\n2022-12    10595\n2023-01    11141\n2023-02     8516\n2023-03    11074\n2023-04     9302\n2023-05    11126\n2023-06     9036\n2023-07     9313\n2023-08    11258\n2023-09     9754\nFreq: M, Name: CASE_STATUS, dtype: int64"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get the count of decisions per DECISION_DATE_MONTH\n",
    "df2 = df.groupby(['DECISION_DATE_MONTH'])['CASE_STATUS'].count()\n",
    "df2"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-27T07:14:32.081Z",
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   "id": "1840d76d4a20dd39"
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  {
   "cell_type": "code",
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   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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/ioLY2FifO8+zRUVFXfC2FyvThBrtyDShxgvNLC4uVmZmZpWfv3ZmmlCjXzIDAuUIDPDuvkosyfLvuzFrynPyYmeaUKMdmSbUaEfm2Xml+6w3/NbQbN++XS1btnQ3KZIUHR2thQsXqn379srLy/NYPy8vz326KCIiotzx8PBwRURESJJyc3PVvHlz978lKTw83KcaHQ5HlV4Y/fWiamemCTXakWlCjVXNrOrz92JkmlBjVTPP98ni0tmfLs7zvCbmmZJpQo12ZF5ont8uCm7SpIl++uknjyMtP/zwg5o3by6n06mtW7fKss58H5JlWdqyZYucTqckyel0Ki0tzb3dwYMHdfDgQTmdTkVERCgyMtJjPC0tTZGRkT5dPwMA/lD6yeKV/Zyv4QHgf35raLp3767LLrtMzz77rH788Uf985//1MKFCzVo0CDdcccdOn78uCZNmqSsrCxNmjRJBQUF6tWrlyRpwIABeu+997Ry5Urt3LlTSUlJ6tq1q1q0aOEenzlzpjZv3qzNmzdr1qxZGjx4sL9KBwAAhvPbKaf69evrtdde06RJk9S3b181bNhQjz76qO69914FBARo0aJFGj9+vN555x1FRUVp8eLFqlOnjiQpPj5eKSkpmjNnjo4dO6bOnTtr4sSJ7uyHHnpIv/zyi0aOHCmHw6G+ffvqwQcf9FfpAPzA12vaAMCf/Poup2uuuabCT/Bt27at3n333Qq3TUxMVGJiYrljDodDY8aM8fj0YADVp7jE8rg41uFwVPguhnPXBQA78G3bAHzmCAzw8eJYALAXDQ2AC1J6cSwA1AR+/XJKAACA6kBDAwAAjEdDA6DG4p1TALxFQwOgRigusTxul75z6txPDT13PQCQuCgYQA3hzTuneNcUgIrQ0ACoMXjnFIALxSknAABgPBoaAABgPBoaAABgPBoaAABgPBoaAABgPBoaALUKH9YHXJpoaABcsviwPqD24HNoAFyy+LA+oPagoQFwSePD+oDagVNOAADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0gAHCwsKquwQAqNFoaIAaprjE8rjtcDgUHR0th8NR6XoAUJsFVXcBADw5AgP057e2KuvQyQrXuaZJPc2+L/4iVgUANRsNDVADZR06qW8PHK/uMgDAGJxyAgAAxqOhAQAAxqOhAQAAxqOhAQAAxqOhAQAAxqOhAQAAxqOhAQAAxqOhAQAAxqOhAQAAxqOhAQAAxqOhAQAAxqOhAQAAxqOhAQAAxqOhAQAAxqOhAQAAxvNrQ+NyufTcc8/phhtu0E033aQXXnhBlmVJknbs2KF+/frJ6XTqnnvu0fbt2z22TU1NVY8ePeR0OjVixAgdPnzYPWZZlmbOnKmOHTuqQ4cOmj59ukpKSvxZOgAAMJhfG5rnn39emzZt0quvvqpZs2bpnXfe0dtvv638/HwNHTpU7du315o1axQfH69hw4YpPz9fkrRt2zYlJydr5MiRevvtt3X8+HGNGTPGnbt06VKlpqZq3rx5mjNnjtatW6elS5f6s3QAAGCwIH8FHT16VKtXr9bSpUvVtm1bSdKQIUOUkZGhoKAghYSEKCkpSQEBAUpOTta///1vrV+/XomJiVqxYoV69eqlu+++W5I0ffp0devWTfv27VOLFi20fPlyjRo1Su3bt5ckjR49WrNnz9ZDDz3kr/IBAIDB/HaEJi0tTfXq1VOHDh3cy4YOHaopU6YoIyNDCQkJCggIkCQFBASoXbt2Sk9PlyRlZGS4mxVJatq0qSIjI5WRkaGcnBwdPHhQN9xwg3s8ISFB+/fv16FDh/xVPgAAMJjfjtDs27dPzZo109q1a7Vw4UKdPn1aiYmJevTRR5Wbm6trrrnGY/1GjRpp9+7dkqRDhw6pSZMmZcazs7OVm5srSR7jjRs3liRlZ2eX2a4yxcXFZZY5HI4qbV+VPDsyvcmzI5N5V0+mt/OuaLsL3d6UedfW3zfz9k8m866ezLPzfHmN8ltDk5+fr59++klvvfWWpkyZotzcXI0bN05hYWEqKChQcHCwx/rBwcFyuVySpFOnTlU4furUKffts8ckubf3VmZmpsftsLAwRUdHe739rl27VFBQUOG4r3l2ZJ4vz45M5u296ph3Zc7dJ7xhyrxr6++beVdPjXZkMm/f+K2hCQoK0smTJzVr1iw1a9ZMknTgwAG9+eabatmyZZnmw+VyKTQ0VJIUEhJS7nhYWJhH8xISEuL+t3TmQfJFbGysz53n2aKioi5424uVaUKNdmSaUKMdmReaV1xcrMzMzCrvE96qKfM2PdOEGu3INKFGOzJNqNGOzLPzSl+rvOG3hiY8PFwhISHuZkaSrr76ah08eFAdOnRQXl6ex/p5eXnu00URERHljoeHhysiIkKSlJubq+bNm7v/XXqfvnA4HFV68bbjhd/fmSbUaEemCTXakVnVvKruE77cT03OMyXThBrtyDShRjsyTajRjswLzfPbRcFOp1OFhYX68ccf3ct++OEHNWvWTE6nU1u3bnV/Jo1lWdqyZYucTqd727S0NPd2Bw8e1MGDB+V0OhUREaHIyEiP8bS0NEVGRvp0/QwAALh0+a2h+d3vfqeuXbtqzJgx2rlzpz777DMtXrxYAwYM0B133KHjx49r0qRJysrK0qRJk1RQUKBevXpJkgYMGKD33ntPK1eu1M6dO5WUlKSuXbuqRYsW7vGZM2dq8+bN2rx5s2bNmqXBgwf7q3SgVvL1lC0A1GR+O+UkSTNnztTEiRM1YMAAhYWF6Q9/+IMGDRqkgIAALVq0SOPHj9c777yjqKgoLV68WHXq1JEkxcfHKyUlRXPmzNGxY8fUuXNnTZw40Z370EMP6ZdfftHIkSPlcDjUt29fPfjgg/4sHbikFZdYcgQGuG87HI5yL9I7dz0AMIVfG5r69etr+vTp5Y61bdtW7777boXbJiYmKjExsdwxh8OhMWPGeHx6MADvOQID9Oe3tirr0MkK17mmST3Nvi/+IlYFAP7j14YGQM2Vdeikvj1wvLrLAABb8G3bAADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeDQ0AADAeLY1NEOHDtUzzzzjvr1jxw7169dPTqdT99xzj7Zv3+6xfmpqqnr06CGn06kRI0bo8OHD7jHLsjRz5kx17NhRHTp00PTp01VSUmJX6QAAwDC2NDTvv/++Nm7c6L6dn5+voUOHqn379lqzZo3i4+M1bNgw5efnS5K2bdum5ORkjRw5Um+//baOHz+uMWPGuLdfunSpUlNTNW/ePM2ZM0fr1q3T0qVL7SgdAAAYyO8NzdGjRzV9+nTFxsa6l33wwQcKCQlRUlKSWrVqpeTkZNWtW1fr16+XJK1YsUK9evXS3XffrdatW2v69OnauHGj9u3bJ0lavny5Ro0apfbt26tjx44aPXq03njjDX+XDgAADOX3hmbatGm66667dM0117iXZWRkKCEhQQEBAZKkgIAAtWvXTunp6e7x9u3bu9dv2rSpIiMjlZGRoZycHB08eFA33HCDezwhIUH79+/XoUOH/F0+AAAwUJA/w7744gt98803WrdunSZMmOBenpub69HgSFKjRo20e/duSdKhQ4fUpEmTMuPZ2dnKzc2VJI/xxo0bS5Kys7PLbFeZ4uLiMsscDkeVtq9Knh2Z3uTZkcm8qyeTeV/cTOZdPZnM++Jm1qR5e/sYSH5saAoLCzV+/HiNGzdOoaGhHmMFBQUKDg72WBYcHCyXyyVJOnXqVIXjp06dct8+e0ySe3tvZWZmetwOCwtTdHS019vv2rVLBQUFFY77mmdH5vny7Mhk3t5j3henRjsymbf3mPfFqdGOTFPmXR6/NTTz5s3T9ddfry5dupQZCwkJKdN8uFwud+NT0XhYWJhH8xISEuL+t3TmQfJFbGysz53n2aKioi5424uVaUKNdmSaUKMdmSbUaEemCTXakWlCjXZkmlCjHZkm1GhH5tl5xcXFZQ5GVMRvDc3777+vvLw8xcfHS/p/TcdHH32kPn36KC8vz2P9vLw89+miiIiIcsfDw8MVEREh6cxpq+bNm7v/LUnh4eE+1ehwOKrU0FRl24uVaUKNdmSaUKMdmSbUaEemCTXakWlCjXZkmlCjHZkm1GhH5oXm+e2i4Ndff13r1q3T2rVrtXbtWnXv3l3du3fX2rVr5XQ6tXXrVlmWJenM58ps2bJFTqdTkuR0OpWWlubOOnjwoA4ePCin06mIiAhFRkZ6jKelpSkyMtKn62cAAMCly29HaJo1a+Zxu27dupKkli1bqlGjRpo1a5YmTZqk++67T2+99ZYKCgrUq1cvSdKAAQM0aNAgxcXFKTY2VpMmTVLXrl3VokUL9/jMmTN11VVXSZJmzZqlIUOG+Kt0AABgOL++y6ki9erV06JFizR+/Hi98847ioqK0uLFi1WnTh1JUnx8vFJSUjRnzhwdO3ZMnTt31sSJE93bP/TQQ/rll180cuRIORwO9e3bVw8++ODFKB0AABjAtoZm6tSpHrfbtm2rd999t8L1ExMTlZiYWO6Yw+HQmDFjPD49GAAAoBRfTgkAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIxHQwMAAIzn14YmJydHo0aNUocOHdSlSxdNmTJFhYWFkqR9+/bpwQcfVFxcnO688059/vnnHttu2rRJffr0kdPp1ODBg7Vv3z6P8ddee01dunRRfHy8xo4dq4KCAn+WDgAADOa3hsayLI0aNUoFBQV644039OKLL+rTTz/VSy+9JMuyNGLECDVu3FirV6/WXXfdpZEjR+rAgQOSpAMHDmjEiBFKTEzUqlWr1LBhQw0fPlyWZUmSPvroI82bN08pKSlatmyZMjIyNGPGDH+VDgAADOe3huaHH35Qenq6pkyZomuvvVbt27fXqFGjlJqaqi+//FL79u1TSkqKWrVqpWHDhikuLk6rV6+WJK1cuVLXX3+9hgwZomuvvVZTpkzR/v379dVXX0mSli9frgceeEDdunVT27Zt9dxzz2n16tUcpQEAAJL82NCEh4frlVdeUePGjT2Wnzx5UhkZGYqOjladOnXcyxMSEpSeni5JysjIUPv27d1jYWFhiomJUXp6uoqLi5WZmekxHhcXp9OnT2vnzp3+Kh8AABgsyF9Bl19+ubp06eK+XVJSohUrVqhjx47Kzc1VkyZNPNZv1KiRsrOzJanS8ePHj6uwsNBjPCgoSA0aNHBv763i4uIyyxwOR5W2r0qeHZne5NmRybyrJ5N5X9xM5l09mcz74mbWpHl7+xhIfmxozjVjxgzt2LFDq1at0muvvabg4GCP8eDgYLlcLklSQUFBheOnTp1y365oe29lZmZ63A4LC1N0dLTX2+/atavS01y+5tmReb48OzKZt/eY98Wp0Y5M5u095n1xarQj05R5l8eWhmbGjBlatmyZXnzxRV133XUKCQnR0aNHPdZxuVwKDQ2VJIWEhJRpTlwuly6//HKFhIS4b587HhYW5lNdsbGxPneeZ4uKirrgbS9Wpgk12pFpQo12ZJpQox2ZJtRoR6YJNdqRaUKNdmSaUKMdmWfnlV524g2/NzQTJ07Um2++qRkzZuj222+XJEVERCgrK8tjvby8PPdppIiICOXl5ZUZb9OmjRo0aKCQkBDl5eWpVatWkqSioiIdPXpU4eHhPtXmcDiq1NBUZduLlWlCjXZkmlCjHZkm1GhHpgk12pFpQo12ZJpQox2ZJtRoR+aF5vn1c2jmzZunt956Sy+88IJ69+7tXu50OvXtt9+6Tx9JUlpampxOp3s8LS3NPVZQUKAdO3bI6XQqMDBQsbGxHuPp6ekKCgpS69at/Vk+AAAwlN8amu+//14LFizQI488ooSEBOXm5rp/OnTooKZNm2rMmDHavXu3Fi9erG3btqlv376SpHvuuUdbtmzR4sWLtXv3bo0ZM0bNmzfXjTfeKEkaOHCgXn31VX388cfatm2bJkyYoP79+/t8ygkAAFya/HbK6ZNPPlFxcbFefvllvfzyyx5ju3bt0oIFC5ScnKzExES1bNlS8+fPV2RkpCSpefPmmjt3riZPnqz58+crPj5e8+fPV0BAgCSpd+/e2r9/v8aNGyeXy6WePXvqqaee8lfpAADAcH5raIYOHaqhQ4dWON6yZUutWLGiwvFbb71Vt9566wXnAwCA2osvpwQAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMajoQEAAMYzqqEpLCzU2LFj1b59e918881asmRJdZcEAABqgKDqLsAX06dP1/bt27Vs2TIdOHBATz/9tCIjI3XHHXdUd2kAAKAaGdPQ5Ofna+XKlfrrX/+qmJgYxcTEaPfu3XrjjTdoaAAAqOWMOeW0c+dOFRUVKT4+3r0sISFBGRkZKikpqcbKAABAdTPmCE1ubq6uvPJKBQcHu5c1btxYhYWFOnr0qBo2bFjhtpZlSZJcLpccDofHmMPhUJur6irEUd6WZ/wuvK6Ki4tVXFx83jq9ybMj05c8OzKZd+XrMW/mfbFqtCOTeVe+HvO2b96l/y79f7wyAZY3a9UAa9eu1ezZs/Xpp5+6l+3bt089evTQxo0bddVVV1W4rcvlUmZm5sUoEwAA+FlsbKzHAY3yGHOEJiQkRC6Xy2NZ6e3Q0NBKtw0KClJsbKwCAwMVEBBgW40AAMB/LMtSSUmJgoLO364Y09BEREToyJEjKioqck8sNzdXoaGhuvzyyyvdNjAw8LydHQAAMJcxFwW3adNGQUFBSk9Pdy9LS0tzH3kBAAC1lzGdQFhYmO6++25NmDBB27Zt08cff6wlS5Zo8ODB1V0aAACoZsZcFCxJBQUFmjBhgv7xj3+oXr16euihh/Tggw9Wd1kAAKCaGdXQAAAAlMeYU04AAAAVoaEBAADGo6EBAADGo6EBAADGo6EBAADGM+aTgu2wf/9+ZWRkKDs7Wy6XS6GhoWrSpImcTqeaNWtW3eVJkgoLC7VlyxadOHFCCQkJatSoUZnxDz/8UHfffXf1FKiLU+Ovv/6qDRs26MiRI/rd736nW2+9tYpVn5Gamqru3burTp06Pm1XUFCgsLAwj2X5+fn69NNPlZOT467xQr5q4+jRo2rQoIH7dnp6ug4ePKhmzZqpbdu2Xue89957uu2221SvXj2fa/DVtm3bdODAATVv3lzXX3/9BWXs2bNH6enpOnLkiE6fPq26deuqefPmio+PP++ngZeH/ds/2L/PYP+uWft3eWrl27aPHDmiMWPGaOPGjWratKkaN26s4OBguVwu5eXlKTs7W926ddPkyZN1xRVXVFud33//vR555BEdOXJE0plvHX344Yc1atQo9zp5eXnq0qWLvvvuu0umxl9++UVJSUnasmWLbrzxRiUlJWnIkCE6deqUWrRooT179ui3v/2tFixYoPDw8CrV365dO7333ntq0aKFT9u1adNGn3/+ufvFfc+ePXrwwQdVWFio5s2b66efflLTpk21ePFiRUREeJV54MAB/eUvf1Fubq4++eQT5eTk6E9/+pP++9//qkGDBjpy5Iiio6M1f/58rzJbt26tZs2aadKkSerYsaNP86vI4cOH9b//+7/64osvFBMTo5kzZ2rs2LHatGmTrrzySh09elTx8fGaN2+errzySq8y8/Pz9eSTT+pf//qXGjZsqGPHjkk68xjv379fJ0+e1MCBA5WUlOTVp4Kzf9fsGtm/2b+lC9+/K1MrG5qRI0fq2LFjmjFjRrnf0n3w4EE9/fTTatCggebMmeNV5pgxY7y+/ylTpni13h//+Ec1a9ZMEyZMUEBAgN555x1Nnz5dt956q2bNmiWHw+HTi4kJNUrS448/rmPHjmnQoEFauXKltmzZoptuuknTpk1TcHCwTp48qaeeekpBQUGaO3fuefNat25d4V9SlmV5jHlbY+vWrfWf//zH/YI3dOhQhYaGaubMmQoODlZ+fr6SkpJUUlKiBQsWeJX50EMP6bLLLtOzzz6r5s2ba/jw4XK5XJo5c6YaNGigw4cPa+zYsZKkhQsXelXjww8/rNdff12dOnXSiBEjFBsb61UtFXniiSd06NAhPfzww0pNTdWWLVsUERGhl156SVdddZUOHz6spKQkXXHFFZo1a5ZXmWPHjlVOTo6mTp2q8PBw5efna+rUqQoJCVFycrK2bdumpKQkde/eXUlJSefNY/+uuTVK7N/s31Xbvytl1UJOp9PatWtXpet89913Vnx8vNeZCxYssKKjo6077rjDeuaZZyr98Va7du2sPXv2eCxLT0+32rdvbz322GNWcXGxlZuba7Vu3fqSqbE0Mysry7Isy8rLy7OioqKs7du3e6zz3//+14qLi/Mq74MPPrA6d+5sDRw40Pr3v/9tbd682dq8ebP15ZdfWm3btrX+/ve/u5d5KyoqysrLy3Pf7ty5s7Vt27YLrtGyLCsuLs768ccfPTIzMzM91snKyvI6s7TGvXv3WqNHj7batGlj9e/f31qxYoV18OBBr+s62w033GDt3r3bsizLKigosKKjo60tW7Z4rLNr1y7rxhtv9Cmz9Pdd6tSpU1ZsbKx18uRJy7IsKzMz07rpppu8ymP/rrk1lmayf7N/X+j+XZlaeQ1NeHi4du7cqeuuu67CdbZv3+7T4ehHH31ULVq00LPPPqvZs2dXmu2tBg0aaM+ePWrZsqV7mdPp1OLFizVkyBA9+eSTeuaZZy6pGqUz39t19OhRSVKjRo00YsSIMudYDxw44PUhz169eunmm2/W9OnT9fzzz2vChAnq1KmTpDPfxB4XF+fzIemAgACdOnXKffvqq6/Wr7/+6rHOkSNHVL9+fa8zmzRpoq+//lq//e1vJUlRUVH68ccfPc5Z79692+t5l2rRooVmzJihJ554QqtWrdKbb76p559/Xk2bNlWrVq10+eWXe/3X1tm/m2PHjqm4uFjHjx/3WOf48eMKDQ31ur769etr165datWqlXvZzz//rNOnT8v6/w8gW5al4uJir/LYv2tujRL7N/t31fbvSlW5JTLQunXrLKfTaT3zzDPW6tWrrc8++8zavHmz9dlnn1nvvvuu9eyzz1qxsbHWu+++63P2uHHjrAEDBvilzkWLFlmdOnWyXnnlFSs7O9tj7Msvv7TatWtn9enTx6e/jkyoccaMGVb37t2tDRs2lBnLycmxFi1aZHXo0MFavHixz/Vu3rzZuv32260nn3zS+uWXX6y4uDhr7969PuckJCRYrVu3trp06WINGjTI6tu3r9WzZ08rPz/fsizLevfdd61u3bpZU6dO9Trzww8/tGJiYqyxY8dan376qbVhwwara9eu1vz5860PPvjAeuGFF6z4+HjrnXfe8SqvdevWHn9lnu3gwYPW+vXrrblz51rjx4/3usY5c+ZYXbt2taZNm2bdeeedVp8+faz+/ftbH374ofXDDz9YGzZssHr06GFNmzbN68xXXnnFio+Pt+bOnWtt3LjReuedd6wePXpYjz/+uGVZZx7LHj16WJMnT/Yqj/27ZtfI/s3+XZX9uzK1sqGxLMvKyMiwkpKSrJ49e1rx8fFWmzZtrLi4OKtnz55WUlKStXXr1gvKLSoqso4fP+63Ov/2t79Z/fv3t9LS0sqM7dq1y7r33nt9fsGr6TUWFxdbCxYssObNm1dm7NNPP7XuuOMO6/XXX7dKSkouqN7CwkLrhRdesDp16mTFxMRc0AueZVlWdna2tWnTJmv58uXW+PHjrUGDBlkul8uyLMvq0aOHNXHiRKuwsNCnzLS0NGvkyJFWhw4drKioKPdPTEyMde+991rr16/3Ouvcw+b+8uabb1qPPvqoNWbMGOvnn3+2vvzyS6tr165WVFSUFRsba40fP97neb/55ptWnz59LKfTaXXv3t2aOXOm+z+P6dOnW6+99ppVXFzsdR77d82tkf2b/buq+3dFauVFwZeavLw8NW7cuLrLqFRNrHH37t366KOPNHjwYL+9bdCfTpw4ofz8fDkcDl155ZVyOBzVXVKlDh8+rCuuuKLG12mamrjvnKsm1sj+7V8m7N80NLXMqVOntH79em3dulU5OTnuz+cIDw9XXFycevXq5dP50erIjI+P1x133OFTpgk1Mm//ZtZG7N81t0bmbf/+TUPjJz169JC3D+Unn3xiczXl+/bbbzVs2DDVrVtX7dq1U6NGjTw+n2PLli0qKCjQX//6V7Vu3fqSyTShRubt30x/Y/+uuZkm1Mi8L87+XSsbGjtenL755hs9/vjjaty4sR544IFK1/3973/vVaa/6+zXr5/i4uKUnJxc4TrPP/+8MjMz9fbbb3t1vyZkmlCjHZkm1GhHJvt3zf3d2JFpQo12ZJpQo12ZFaryVTgG+vrrr63OnTtbd911l7VmzZpKf3yxc+dOKz4+vtyr92tCnU6n0/r+++8rXScrK8tyOp1e12hCpgk12pFpQo12ZLJ/V6y6fzd2ZJpQox2ZJtRoV2ZFauWXU7Zv316vvvqq9u7dq/r16+v3v/99hT++iIqKUlJSktauXVsj67zuuuu0evXqStd5++239bvf/c7rGk3INKFGOzJNqNGOTPbvilX378aOTBNqtCPThBrtyqxIrTzlVOqtt97S559/rnnz5lV3KZXyV507duzQ0KFDFRYWpoSEBDVp0sR9LjM3N1dbt27ViRMntHDhQq8/QtuETBNqZN7+zZTYv2vq74bnOfP2x/5dnlrd0FwMaWlpio2NVXBwcHWXIunMt8i+//772rZtmw4dOqRTp04pJCREERERcjqduv32233+9lYTMk2okXn7N/NiYP+uGZkm1Mi8L8L+XeWTVpeQb775xucPDDqf+Pj4C/5gp4r4u85vvvnGOnXqlN/yTMk0oUY7Mk2o0Y5M9m//MSHThBrtyDShRrsyaWjOYseL04V+9HZl/F2nHfM2IdOEGu3INKFGOzLZv/3HhEwTarQj04Qa7cqslRcFV8Qy5Oybv+u0Y94mZJpQox2ZJtRoRyb7d+3KNKFGOzJNqNGuTBoam/3pT3/y6Vt9AZiD/RuoOWhozmLHi9OwYcP8/j0i/q7TjnmbkGlCjXZkmlCjHZn+yNu7d6++/fZbFRUVSfLcv0+fPq2vv/66RtRpZ54pmSbUaEemCTXalcm7nGqhvXv36sSJE4qKilJQUJDH2OnTp5Wenq4bbrjhkss0oUY7Mk2o0Y5Mf+bl5ORo5MiRyszMlCQ1bNhQTz75pO655x73Onl5eerSpYu+++47r2v0d53l+frrr3XkyBG1atVKrVq1uuAc0zJNqNGOTBNqtCuTi4L9ZO7cuV7/VJfs7Gyrb9++7q+s79Spk7Vq1SqPdXJzc63WrVtfUpkm1GhHpgk12pFpR40jRoywhg0bZh06dMjKycmxZsyYYUVHR1tTp071yIyKivI60991/vrrr9b//u//Wr1797ZSUlKsvLw86+6777aio6OtTp06WW3atLEee+wx6+TJk17XaEKmCTUyb/9mViTo/C3PpceXD7AaOXKkV+tlZ2dr1apVioyMVLNmzSpcLyAgwOv79nedEydOVKNGjfTZZ5/JsiwtX75c48aNU1ZWlp5++mn3epYPB+1MyDShRjsyTajRjkw7avzqq6/05ptvKjw8XJI0evRoxcXF6YknnlBRUZH7e2p82b/9XefUqVO1bds23XvvvUpNTdW9996rpk2b6t///rcaNWqkAwcO6C9/+YsmTZqkyZMnXzKZJtTIvP2bWaEqt0QGSk5OtqKioqxu3bpZ999/f4U/gwYN8il38eLFVocOHaz9+/fXyDpvuOEGKysry2PZhg0brOuvv956/vnnLcvy/S9XEzJNqNGOTBNqtCPTjhpvueUW6+uvvy6zfMOGDVZMTIw1derUap93hw4drB07dliWZVn79u2zoqKirIyMDI91MjMzrYSEBK9rNCHThBrtyDShRrsyK1Irj9A8//zzatmypV555RVNmzZNkZGRfsl95JFHlJmZqZSUFC1cuLDKef6uMywsTEeOHPFY1qNHD7344ot6/PHHFRQUpIceeuiSyzShRjsyTajRjkw7arzzzjuVnJysJ554QjfddJP7QuAePXpo2rRpevrpp7Vr1y6fMu2os1Tz5s119913q27duh7LCwsLFRoaeslmmlCjHZkm1GhXpocqt0QGe+yxx6xhw4b5NfPEiRPWd99959dMf9U5depUq2fPntaHH35oHTt2zGMsNTXViomJsf74xz/69FemCZkm1GhHpgk12pFpR42FhYXWjBkzrM6dO1ubNm0qM75p0yara9eu1Trv5ORk6/e//721ZcuWMmMnT5603n//feu2226zpk2b5nWNJmSaUKMdmSbUaFdmRWp1Q2NH82EHf9Vpx4uyCZkm1GhHpgk12pFpR43eKCoqstLT071e39915ufnW8nJyVZKSkqZsY8++siKi4uzpk6d6tPXKpiQaUKNdmSaUKNdmRXhbdt+lJubq3/96186efKkOnbsqDZt2niM5+fna8mSJV5faFwdiouLtX37djmdzlqVaUKNdmSaUKMdmReSVx37t7/mffr0aQUGBsrhcPipMjMyTajRjkwTarQjs9Z+sF5ubq5WrlyppUuXlvu5Efn5+T69y2jLli3q1auXXn31Vb399ttKTEzU008/LZfL5ZE5f/78aq3zfHmFhYX67LPP/FpjTcg0oUY7Mk2o0Y5Mf+dV1/7tr3lfdtllcjgcPr9emJJpQo12ZJpQo12Z5aryMR4DpaWlWQkJCdbtt99u3X777Vbr1q2tpKQkj0Nevr5joX///tZLL73kvr1x40arc+fO1sCBA93vr/c109912jFvEzJNqNGOTBNqtCOT/bvm/m7syDShRjsyTajRrsyK1MqGxo4Xp/K+dfenn36yunbtag0YMMAqKCio9hdRO+ZtQqYJNdqRaUKNdmSyf/snz5RME2q0I9OEGu3KrEitbGjseHG64447rNTU1DLLf/jhB6tz587W/fffb+3Zs6daX0TtmLcJmSbUaEemCTXakcn+7Z88UzJNqNGOTBNqtCuzIrXyGpqrrrpK27Zt81j2m9/8RkuWLNHevXv1yCOP6Ndff/Up8+GHH1ZycrJSUlK0d+9e9/Krr75aS5cu1U8//aQ//OEP1VqnHfM2IdOEGu3INKFGOzLZv/2TZ0qmCTXakWlCjXZlVqjKLZGBVq1aZTmdTuu5556zfvrpJ4+x//73v1aXLl2szp07+9wxbty40XriiSfcn4p4tkOHDll/+ctfLKfTWW112jFvEzJNqNGOTBNqtCOT/bvm/m7syDShRjsyTajRrsyK1MqGxrL8/+JkF3/Xace8Tcg0oUY7Mk2o0Y5M9u+a+7uxI9OEGu3INKFGuzLLw+fQ+FHpF1Smp6crJydHLpdLoaGhCg8PV1xcnPr166eIiIjqLhPABWD/Bmq2WtvQ+PvF6T//+Y9GjhypuLg4JSQkqFGjRgoODpbL5VJeXp7S0tKUmZmp+fPnq2PHjtVWpx0vyiZkmlAj866582b/rtmZJtTIvO3/Y6BWNjR2vDj16dNH//f//l8NHTq0wnUWL16sdevWad26ddVSpx3zNiHThBqZd82eN/t3zc00oUbm7f8/BspV5ZNWBurdu7e1aNGiStdZtGiR1adPH68z4+LirO+//77SdXbv3m21bdvW60x/12nHvE3INKFGOzJNqNGOTPZv/+SZkmlCjXZkmlCjXZkVqZVv296/f7969OhR6Trdu3f3eHvm+cTFxWnRokUqLCwsd9zlcmnBggVq27ZttdVpx7xNyDShRjsyTajRjkz2b//kmZJpQo12ZJpQo12ZFamVDY0dL04TJ07Ud999p06dOmnQoEF68sknNWbMGD355JMaPHiwbrrpJu3evVuTJk2qtjrtmLcJmSbUaEemCTXakcn+XXN/N3ZkmlCjHZkm1GhXZkVq5TU0P//8s4YPH66ff/5ZMTExatKkifucXm5urnbs2KGmTZtq/vz5+s1vfuNT9pdffqmMjAzl5uaqoKBAISEhioiIkNPpVIcOHRQY6H0P6e867Zi3CZkm1Mi8a/a8S7F/17xME2pk3vbsj+eqlQ1NKX++OLlcLs2ePVupqak6ceKEOnXqpCeeeELXXHONe528vDx16dKl3G/VvVh12pFnSqYJNdqRaUKNdmSyf9fc340dmSbUaEemCTXalVlGla/CMVBhYaE1ffp065ZbbrHi4+Ot4cOHW7t37/ZYx9fvlpgyZYrVs2dPKzU11UpNTbXuu+8+y+l0Whs2bPDIjIqKqrY67Zi3CZkm1GhHpgk12pHJ/l1zfzd2ZJpQox2ZJtRoV2ZFauU1NC+88II+/vhjJSUlaeLEiTp8+LD69u2rjz/+2GM9y4eDVx9++KEmT56s3r17q3fv3vrb3/6mAQMG6PHHH9eHH37oXi8gIKDa6rRj3iZkmlCjHZkm1GhHJvt3zf3d2JFpQo12ZJpQo12ZFapyS2SgW265xfrmm2/ct0tKSqypU6daMTEx1gcffGBZlu8dY4cOHaysrKwyy6dPn27FxMRY//jHP3zO9HeddszbhEwTarQj04Qa7chk//ZPnimZJtRoR6YJNdqVWZGgqrdE5jl16pQaNGjgvh0QEKCnn35agYGBeuqppxQUFKT4+HifMm+88UZNnz5dU6ZMUcOGDd3Ln3rqKZ06dUpPPPFEpR/KdTHqtGPeJmSaUKMdmSbUaEcm+7d/8kzJNKFGOzJNqNGuzApVuSUy0GOPPWYNHTrU+uWXX8qMpaSkWDExMdbs2bN96hizs7Ot/v37W61bt7Y+//zzMuNz5861oqOjfcr0d512zNuETBNqtCPThBrtyGT/rrm/GzsyTajRjkwTarQrsyK1sqGx48Wp1Pfff28dP3683LGsrKzzfmKinXXaMW8TMk2o0Y5ME2q0I5P9u+b+buzINKFGOzJNqNGuzIrUyoamlD9fnOzk7zrtmLcJmSbUaEemCTXakcn+7Z88UzJNqNGOTBNqtCvzXLX6c2gAAMCloVa+bRsAAFxaaGgAAIDxaGgAAIDxaGgAAIDxaGiAatK9e3dFRUUpKipKrVu3Vnx8vO677z599tln7nUGDRrkXufcnzVr1njkrV27Vv369VN8fLxuvvlmPf300zp48KB7fPPmzYqKivLYJjU1Vb///e8VGxurG2+8UX/+85/1008/VbqNy+XSggULdPvttys2NlbdunXT888/r8OHD3usFxUVpSeffLLMvNesWaPu3bt79Rj9/PPPHnNu06aNbrzxRg0fPlx79uwpd5u5c+cqKipKX3zxRZlllT2WpXMt78fbetesWaOoqCgNHjy43PH+/fsrKipKP//8s3vZiRMnNG3aNHXr1k2xsbH6n//5H7300kvKz88v8zi88MIL5c530KBBkip/vpTe79nrnysqKkqbN2/2aq5ATVMrPykYqCnGjh2rO++8UyUlJTp27JjWrl2rYcOG6ZVXXtFNN90kSRoyZIiGDBlSZtv69eu7/z1lyhStXbtWo0ePVocOHXT06FHNnj1b999/v1auXOnx6balPv74Y40fP17PPfecnE6njh8/rpdffln333+/PvzwQ9WrV6/MNkVFRRo2bJh+/vlnjR49Wtdff7327dunefPmqV+/fvrb3/6miIgI9/qpqanq27evOnXqVKXHaeXKlWratKmKi4uVk5OjuXPn6v7779eaNWvUpEkTj3VTU1P1m9/8RmvXrnXf75AhQ3TfffdJkrZu3arHHntMn3/+ucdjmZGRIUkey0s5HA6va73sssuUlpam48eP6/LLL3cvz8nJ0fbt2z3WPXnypAYOHKjLLrtMKSkpuvrqq5WVlaUXXnhB//73v/X666+rbt267vWXLFmiu+66S61atSr3vufOnavTp0+71926davmzp3rHi/veQBcKjhCA1Sj+vXrKzw8XBEREbruuuuUlJSk3r17a8qUKe516tSpo/Dw8DI/oaGhkqRvvvlGy5Yt0/z589WvXz+1bNlSTqdT8+fPV1FRkZYtW1bufa9du1aJiYnq06ePWrRooZiYGM2aNUsnT57Uxo0by91mxYoV+u677/S3v/1Nt99+u5o1a6aOHTtqyZIlatCggSZNmuSxfrNmzZSSkiKXy1Wlx6lhw4YKDw/XVVdd5Z5bnTp1tGjRIo/1vv32W+3du1ePPvqo/vGPf+jXX3+VJNWtW9f9uF1xxRWSVO5jee7y0h9fGoEmTZooMjKyzGP4ySefqG3bth7LZs+eLZfLpRUrVqhLly5q3ry5unbtqjfeeEOHDx/WvHnzymSnpKRUeN8NGjRw11ynTh1ddtllHvPwpTEDTENDA9Qw9957r/773/96nPqpzNq1a9W2bVu1b9/eY3lYWJhefvll/eEPfyh3u8DAQGVkZLj/05ekkJAQrV27Vrfeemu526xcuVKJiYkKDw/3WB4cHKyhQ4fq448/1pEjR9zLH3/8ceXk5OjVV1/1ai7eCgkJ0V133aUNGzZ4LE9NTVXr1q11++236/Tp0/rHP/7h1/v11m233aZ//vOfHss++eQT9ejRw327uLhYa9as0eDBg1WnTh2PdevXr6/BgwdrzZo1Ki4udi8fM2aMvv76a/3973+3dwKAgWhogBqm9HRCVlaWV+vv3LlTsbGx5Y5FR0eXOSVTauDAgdq+fbtuueUWPfHEE1q5cqVycnLUsmXLck835efn6/vvv6/wvhISElRcXKxvv/3WvSwiIkKjRo3SwoULtW/fPq/m461rrrlGOTk5OnnypCTJsix9+OGH6tatm+rWratOnTrp3Xff9et9euu2227TZ5995j79c+LECW3dulW33HKLe509e/bo5MmTlT6eR48e1d69e93L2rRpo4EDB2r69Ok6ceKEvZMADENDA9QwpdfGlB45WbRokeLj48v8lDpx4kS5Dcj5dOzYUW+88YY6duyof/7zn3r22WfVrVs3paSkqKSkpMz6J06ckGVZ7lM25yq9XuTo0aMeywcNGqSWLVuWOR1VVec+TmlpaTp48KD7KEjPnj311Vdfaf/+/T7llvdYL1y40KeMdu3ayeFw6Ouvv5Yk/etf/9INN9zgcSSm9HHy9fF8/PHHJUkvvviiTzWd7Ztvvqn0OQWYiIuCgRqm9IhDaZNy3333VfiuFOnMdRPHjx+/oPuKj4/X/PnzVVhYqK+++kpr167VG2+8od/85jd68MEHPdYt/Y83Nze33KxDhw656zmbw+HQhAkTNHDgQH388ccXVGd5Sh+n0otm33//fTVr1kzR0dGSzhwlGTdunN577z0NHz7c69y1a9eWWVZR01ERh8Ohbt266Z///Kduuukmffzxxx6nm6T/9zjl5uaqZcuWZTIqejzr1aunMWPGaPTo0UpMTPSprlLXX3+9Zs6cWWZ5z549LygPqAk4QgPUMLt27ZIkXXvttZLO/GfasmXLMj+lYmJiPE7znG3ZsmWaNWtWmeW//vqrUlJSlJ2dLenMNSldunTRrFmzdOedd2rTpk1ltgkNDdV1111X4X1t375dDofD3VCcrV27drrnnns0adIkFRQUnOcR8M6uXbsUGRmpevXqqbi4WOvXr9eBAwcUHR2t6Oho3XzzzSopKdF7773nU255j/W5TYU3Sq+jcblc+s9//qPbbrutzP00aNCg0sezQYMGatGiRZmx3r17q2PHjpowYUK5R9POJzQ0tNLnFGAiGhqghlm9erViYmLK/Y+sPP/n//wfbdu2TWlpaR7Lf/31Vy1btszjotJSoaGhWrdundavX19mrH79+hW+q+e+++5zX2tztqKiIr388svq0aNHhduOHj1a+fn5frlA2OVy6e9//7vuuOMOSdIXX3yhw4cPa86cOVq7dq3755lnntGePXu0ZcuWKt+nrzp37qy8vDwtX75crVu3LvO4BAUFKTExUa+++qrHhdnSmaNPS5cuVWJiooKCyj+QPm7cOO3cudPnhg24VHHKCahGJ06cUG5urizL0pEjR7Rq1Sp98MEHWrJkiXud/Pz8ck/zhIWFqV69eoqPj1e/fv00fPhwPfXUU+rQoYOys7P10ksvKTAwUI888kiZbR0Oh/70pz/phRdekMvlUo8ePVRUVKRNmzZp3bp1ev3118utd8CAAdq4caMGDRqkp556SjExMTpw4IDmz5+vEydOKDk5ucK5XnnllRo9erSeffZZNWvWzKfH6fDhwwoJCVFJSYkOHDiguXPnqqCgwD23999/X9dee22ZUyYtW7bUwoULtXbtWrVr186r+6rolFqjRo0UGOj934B16tTRTTfdpAULFmjUqFHlrjNy5Eht3rxZgwYN0pNPPqmrr75aP/74o2bNmqXw8HA99thjFeZfffXVevjhh/Xyyy/7/HgClyIaGqAaTZ48WZMnT1ZAQIAaNmyo6Ohovfbaax5vwV6yZIlHg1Oqb9++7gttn3vuObVq1UrLli3T888/r8svv1ydO3fWiy++qCuvvLLc+37ooYd0xRVX6M0339TLL78s6cy1FX/96191/fXXl7tNYGCgFixYoNdee00vvfSS9u3bp4YNG6pHjx6aNWvWeT+vpW/fvlq9erX7+hBv9evXT9KZRqxJkybq1KmTUlJS1LBhQ7lcLm3YsEEjR44ss11ISIgSExO1atUqJScnKyQk5Lz3dfPNN5e7fOPGjbrqqqt8qvu2227Tp59+Wub6mVJ169bV66+/rsWLF2vChAnKyclRRESEevfuraFDh5Z5O/e5/vSnPyk1NdWnmoBLVYBlWVZ1FwEAAFAVXEMDAACMxyknANVi27ZteuCBByocj4yM1Pvvv38RK6rcRx99pGeeeabC8YSEBL3yyisXsSIAZ+OUE4Bq4XK5PL4N/FxBQUE16mLXX3/9VXl5eRWOh4aGenwxJ4CLi4YGAAAYj2toAACA8WhoAACA8WhoAACA8WhoAACA8WhoAACA8WhoAACA8WhoAACA8WhoAACA8f4/p1tIaptCQlwAAAAASUVORK5CYII="
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the Cases status per decision date month\n",
    "ax = df2.plot(kind=\"bar\")"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-27T07:14:32.393244Z",
     "start_time": "2023-11-27T07:14:32.079631Z"
    }
   },
   "id": "71563682f70e330"
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "data": {
      "text/plain": "DECISION_DATE_MONTH\n2021-10        NaN\n2021-11     8293.0\n2021-12     9569.0\n2022-01     9807.0\n2022-02     9958.0\n2022-03     9210.0\n2022-04    10516.0\n2022-05     9187.0\n2022-06    10037.0\n2022-07     6735.0\n2022-08     5846.0\n2022-09     7827.0\n2022-10     7615.0\n2022-11     7347.0\n2022-12     7965.0\n2023-01    10595.0\n2023-02    11141.0\n2023-03     8516.0\n2023-04    11074.0\n2023-05     9302.0\n2023-06    11126.0\n2023-07     9036.0\n2023-08     9313.0\n2023-09    11258.0\nFreq: M, Name: CASE_STATUS, dtype: float64"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2_shift = df2.shift(1)\n",
    "df2_shift"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-27T07:14:32.398458Z",
     "start_time": "2023-11-27T07:14:32.393443Z"
    }
   },
   "id": "468a6cb6eb234141"
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [
    {
     "data": {
      "text/plain": "DECISION_DATE_MONTH\n2021-10        NaN\n2021-11     8931.0\n2021-12     9688.0\n2022-01     9882.5\n2022-02     9584.0\n2022-03     9863.0\n2022-04     9851.5\n2022-05     9612.0\n2022-06     8386.0\n2022-07     6290.5\n2022-08     6836.5\n2022-09     7721.0\n2022-10     7481.0\n2022-11     7656.0\n2022-12     9280.0\n2023-01    10868.0\n2023-02     9828.5\n2023-03     9795.0\n2023-04    10188.0\n2023-05    10214.0\n2023-06    10081.0\n2023-07     9174.5\n2023-08    10285.5\n2023-09    10506.0\nFreq: M, Name: CASE_STATUS, dtype: float64"
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "df2_shift = df2*0.5 + df2_shift*0.5\n",
    "df2_shift"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-27T07:14:32.407225Z",
     "start_time": "2023-11-27T07:14:32.401197Z"
    }
   },
   "id": "d837013aae845122"
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = df2_shift.plot(kind=\"bar\")"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-27T07:14:32.572972Z",
     "start_time": "2023-11-27T07:14:32.409125Z"
    }
   },
   "id": "f34ae80929af12da"
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Get the denial rate per DECISION_DATE_MONTH\n",
    "\n",
    "df3 = df[df['CASE_STATUS'] == 'Denied']\n",
    "df3 = df3.groupby(['DECISION_DATE_MONTH'])['CASE_STATUS'].count()\n",
    "# Plot the denial in red\n",
    "ax = df3.plot(kind=\"bar\", color='red')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-27T07:14:32.771211Z",
     "start_time": "2023-11-27T07:14:32.578251Z"
    }
   },
   "id": "50c0746f10368be5"
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 640x480 with 1 Axes>",
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_denial_rate = df3/df2\n",
    "ax = df_denial_rate.plot(kind=\"bar\", color='pink')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2023-11-27T07:19:47.406712Z",
     "start_time": "2023-11-27T07:19:47.256096Z"
    }
   },
   "id": "f326bafb4598075f"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   },
   "id": "c15c4c247ca7cb53"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}