seoul-bike-insights-and-predictions.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/kiranpatil7022/seoul-bike-insights-and-predictions?scriptVersionId=148130868\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown"},{"cell_type":"markdown","id":"67e9cea5","metadata":{"papermill":{"duration":0.02142,"end_time":"2023-10-26T18:12:57.946812","exception":false,"start_time":"2023-10-26T18:12:57.925392","status":"completed"},"tags":[]},"source":["## **1. Loading libraries and data**"]},{"cell_type":"code","execution_count":1,"id":"0d60cddd","metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","execution":{"iopub.execute_input":"2023-10-26T18:12:57.991114Z","iopub.status.busy":"2023-10-26T18:12:57.990701Z","iopub.status.idle":"2023-10-26T18:12:58.012053Z","shell.execute_reply":"2023-10-26T18:12:58.010125Z"},"papermill":{"duration":0.046957,"end_time":"2023-10-26T18:12:58.015086","exception":false,"start_time":"2023-10-26T18:12:57.968129","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["/kaggle/input/seoul-bike-trip-duration-prediction/For_modeling.csv\n"]}],"source":["import os\n","for dirname, _, filenames in os.walk('/kaggle/input'):\n","    for filename in filenames:\n","        print(os.path.join(dirname, filename))"]},{"cell_type":"code","execution_count":2,"id":"f66f0fcc","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:12:58.061668Z","iopub.status.busy":"2023-10-26T18:12:58.061056Z","iopub.status.idle":"2023-10-26T18:13:00.979425Z","shell.execute_reply":"2023-10-26T18:13:00.978267Z"},"papermill":{"duration":2.944915,"end_time":"2023-10-26T18:13:00.982432","exception":false,"start_time":"2023-10-26T18:12:58.037517","status":"completed"},"tags":[]},"outputs":[],"source":["import numpy as np \n","import pandas as pd\n","import matplotlib.pyplot as plt\n","import seaborn as sns\n","\n","from sklearn.preprocessing import StandardScaler\n","\n","from sklearn.model_selection import train_test_split\n","from sklearn.model_selection import GridSearchCV\n","\n","from sklearn.linear_model import LinearRegression, Lasso, Ridge\n","from xgboost import XGBRegressor\n","from sklearn.ensemble import RandomForestRegressor\n","\n","from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score\n","\n","pd.set_option('display.max_columns',200)\n","np.random.seed(24)"]},{"cell_type":"code","execution_count":3,"id":"29750266","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:13:01.031864Z","iopub.status.busy":"2023-10-26T18:13:01.031272Z","iopub.status.idle":"2023-10-26T18:13:46.749045Z","shell.execute_reply":"2023-10-26T18:13:46.747944Z"},"papermill":{"duration":45.767411,"end_time":"2023-10-26T18:13:46.773609","exception":false,"start_time":"2023-10-26T18:13:01.006198","status":"completed"},"tags":[]},"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>Duration</th>\n","      <th>Distance</th>\n","      <th>PLong</th>\n","      <th>PLatd</th>\n","      <th>DLong</th>\n","      <th>DLatd</th>\n","      <th>Haversine</th>\n","      <th>Pmonth</th>\n","      <th>Pday</th>\n","      <th>Phour</th>\n","      <th>Pmin</th>\n","      <th>PDweek</th>\n","      <th>Dmonth</th>\n","      <th>Dday</th>\n","      <th>Dhour</th>\n","      <th>Dmin</th>\n","      <th>DDweek</th>\n","      <th>Temp</th>\n","      <th>Precip</th>\n","      <th>Wind</th>\n","      <th>Humid</th>\n","      <th>Solar</th>\n","      <th>Snow</th>\n","      <th>GroundTemp</th>\n","      <th>Dust</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>6176536</th>\n","      <td>19</td>\n","      <td>-120</td>\n","      <td>37.613956</td>\n","      <td>127.030251</td>\n","      <td>37.638706</td>\n","      <td>127.015907</td>\n","      <td>3.028153</td>\n","      <td>9</td>\n","      <td>13</td>\n","      <td>3</td>\n","      <td>54</td>\n","      <td>3</td>\n","      <td>9</td>\n","      <td>13</td>\n","      <td>4</td>\n","      <td>15</td>\n","      <td>3</td>\n","      <td>20.900000</td>\n","      <td>0.0</td>\n","      <td>1.7</td>\n","      <td>68.0</td>\n","      <td>0.00</td>\n","      <td>0.0</td>\n","      <td>20.000000</td>\n","      <td>27.0</td>\n","    </tr>\n","    <tr>\n","      <th>8576807</th>\n","      <td>16</td>\n","      <td>-102</td>\n","      <td>37.586388</td>\n","      <td>126.935127</td>\n","      <td>37.564541</td>\n","      <td>126.927071</td>\n","      <td>2.530896</td>\n","      <td>11</td>\n","      <td>5</td>\n","      <td>13</td>\n","      <td>45</td>\n","      <td>0</td>\n","      <td>11</td>\n","      <td>5</td>\n","      <td>14</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>16.799999</td>\n","      <td>0.0</td>\n","      <td>1.1</td>\n","      <td>46.0</td>\n","      <td>1.71</td>\n","      <td>0.0</td>\n","      <td>23.200001</td>\n","      <td>58.0</td>\n","    </tr>\n","    <tr>\n","      <th>8714908</th>\n","      <td>5</td>\n","      <td>-44</td>\n","      <td>37.464550</td>\n","      <td>126.883728</td>\n","      <td>37.456841</td>\n","      <td>126.888344</td>\n","      <td>0.949100</td>\n","      <td>11</td>\n","      <td>10</td>\n","      <td>8</td>\n","      <td>50</td>\n","      <td>5</td>\n","      <td>11</td>\n","      <td>10</td>\n","      <td>8</td>\n","      <td>56</td>\n","      <td>5</td>\n","      <td>9.300000</td>\n","      <td>0.0</td>\n","      <td>0.3</td>\n","      <td>85.0</td>\n","      <td>0.07</td>\n","      <td>0.0</td>\n","      <td>8.700000</td>\n","      <td>83.0</td>\n","    </tr>\n","    <tr>\n","      <th>4599459</th>\n","      <td>6</td>\n","      <td>-44</td>\n","      <td>37.546307</td>\n","      <td>127.049805</td>\n","      <td>37.539654</td>\n","      <td>127.052589</td>\n","      <td>0.779438</td>\n","      <td>8</td>\n","      <td>1</td>\n","      <td>12</td>\n","      <td>17</td>\n","      <td>2</td>\n","      <td>8</td>\n","      <td>1</td>\n","      <td>12</td>\n","      <td>23</td>\n","      <td>2</td>\n","      <td>36.799999</td>\n","      <td>0.0</td>\n","      <td>1.3</td>\n","      <td>39.0</td>\n","      <td>2.80</td>\n","      <td>0.0</td>\n","      <td>54.900002</td>\n","      <td>37.0</td>\n","    </tr>\n","    <tr>\n","      <th>4460101</th>\n","      <td>59</td>\n","      <td>-80</td>\n","      <td>37.556610</td>\n","      <td>126.898018</td>\n","      <td>37.556610</td>\n","      <td>126.898018</td>\n","      <td>0.000000</td>\n","      <td>7</td>\n","      <td>27</td>\n","      <td>21</td>\n","      <td>17</td>\n","      <td>4</td>\n","      <td>7</td>\n","      <td>27</td>\n","      <td>22</td>\n","      <td>16</td>\n","      <td>4</td>\n","      <td>30.299999</td>\n","      <td>0.0</td>\n","      <td>1.1</td>\n","      <td>75.0</td>\n","      <td>0.00</td>\n","      <td>0.0</td>\n","      <td>30.200001</td>\n","      <td>28.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["         Duration  Distance      PLong       PLatd      DLong       DLatd  \\\n","6176536        19      -120  37.613956  127.030251  37.638706  127.015907   \n","8576807        16      -102  37.586388  126.935127  37.564541  126.927071   \n","8714908         5       -44  37.464550  126.883728  37.456841  126.888344   \n","4599459         6       -44  37.546307  127.049805  37.539654  127.052589   \n","4460101        59       -80  37.556610  126.898018  37.556610  126.898018   \n","\n","         Haversine  Pmonth  Pday  Phour  Pmin  PDweek  Dmonth  Dday  Dhour  \\\n","6176536   3.028153       9    13      3    54       3       9    13      4   \n","8576807   2.530896      11     5     13    45       0      11     5     14   \n","8714908   0.949100      11    10      8    50       5      11    10      8   \n","4599459   0.779438       8     1     12    17       2       8     1     12   \n","4460101   0.000000       7    27     21    17       4       7    27     22   \n","\n","         Dmin  DDweek       Temp  Precip  Wind  Humid  Solar  Snow  \\\n","6176536    15       3  20.900000     0.0   1.7   68.0   0.00   0.0   \n","8576807     2       0  16.799999     0.0   1.1   46.0   1.71   0.0   \n","8714908    56       5   9.300000     0.0   0.3   85.0   0.07   0.0   \n","4599459    23       2  36.799999     0.0   1.3   39.0   2.80   0.0   \n","4460101    16       4  30.299999     0.0   1.1   75.0   0.00   0.0   \n","\n","         GroundTemp  Dust  \n","6176536   20.000000  27.0  \n","8576807   23.200001  58.0  \n","8714908    8.700000  83.0  \n","4599459   54.900002  37.0  \n","4460101   30.200001  28.0  "]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["df = pd.read_csv(\n","    \"/kaggle/input/seoul-bike-trip-duration-prediction/For_modeling.csv\",\n","    dtype={\n","        'Duration' : 'int8',\n","        'Distance' : 'int8',\n","        'PLong' : 'float32',\n","        'PLatd' : 'float32',\n","        'DLong' : 'float32',\n","        'DLatd' : 'float32',\n","        'Haversine' : 'float32',\n","        'Pmonth' : 'int8',\n","        'Pday' : 'int8',\n","        'Phour' : 'int8',\n","        'Pmin' : 'int8',\n","        'PDweek' : 'int8',\n","        'Dmonth' : 'int8',\n","        'Dday' : 'int8',\n","        'Dhour' : 'int8',\n","        'Dmin' : 'int8',\n","        'DDweek' : 'int8',\n","        'Temp' : 'float32',\n","        'Precip' : 'float32',\n","        'Wind' : 'float32',\n","        'Humid' : 'float32',\n","        'Solar' : 'float32',\n","        'Snow' : 'float32',\n","        'GroundTemp' : 'float32',\n","        'Dust' : 'float32'\n","    },\n","    index_col=0\n",").sample(frac=1)\n","df.head()"]},{"cell_type":"code","execution_count":4,"id":"b8a84e2e","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:13:46.819598Z","iopub.status.busy":"2023-10-26T18:13:46.818826Z","iopub.status.idle":"2023-10-26T18:13:46.826228Z","shell.execute_reply":"2023-10-26T18:13:46.82518Z"},"papermill":{"duration":0.033073,"end_time":"2023-10-26T18:13:46.828622","exception":false,"start_time":"2023-10-26T18:13:46.795549","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(9601139, 25)"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["df.shape"]},{"cell_type":"code","execution_count":5,"id":"0f560b5f","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:13:46.87492Z","iopub.status.busy":"2023-10-26T18:13:46.87451Z","iopub.status.idle":"2023-10-26T18:13:46.899392Z","shell.execute_reply":"2023-10-26T18:13:46.897578Z"},"papermill":{"duration":0.051238,"end_time":"2023-10-26T18:13:46.901873","exception":false,"start_time":"2023-10-26T18:13:46.850635","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","Index: 9601139 entries, 6176536 to 6452179\n","Data columns (total 25 columns):\n"," #   Column      Dtype  \n","---  ------      -----  \n"," 0   Duration    int8   \n"," 1   Distance    int8   \n"," 2   PLong       float32\n"," 3   PLatd       float32\n"," 4   DLong       float32\n"," 5   DLatd       float32\n"," 6   Haversine   float32\n"," 7   Pmonth      int8   \n"," 8   Pday        int8   \n"," 9   Phour       int8   \n"," 10  Pmin        int8   \n"," 11  PDweek      int8   \n"," 12  Dmonth      int8   \n"," 13  Dday        int8   \n"," 14  Dhour       int8   \n"," 15  Dmin        int8   \n"," 16  DDweek      int8   \n"," 17  Temp        float32\n"," 18  Precip      float32\n"," 19  Wind        float32\n"," 20  Humid       float32\n"," 21  Solar       float32\n"," 22  Snow        float32\n"," 23  GroundTemp  float32\n"," 24  Dust        float32\n","dtypes: float32(13), int8(12)\n","memory usage: 659.3 MB\n"]}],"source":["df.info()"]},{"cell_type":"markdown","id":"0900e47e","metadata":{"papermill":{"duration":0.021952,"end_time":"2023-10-26T18:13:46.946359","exception":false,"start_time":"2023-10-26T18:13:46.924407","status":"completed"},"tags":[]},"source":["## **2. Exploratory Data Analysis**"]},{"cell_type":"code","execution_count":6,"id":"776d4d93","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:13:46.992293Z","iopub.status.busy":"2023-10-26T18:13:46.991676Z","iopub.status.idle":"2023-10-26T18:13:46.997683Z","shell.execute_reply":"2023-10-26T18:13:46.996924Z"},"papermill":{"duration":0.031429,"end_time":"2023-10-26T18:13:46.99985","exception":false,"start_time":"2023-10-26T18:13:46.968421","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Index(['Duration', 'Distance', 'PLong', 'PLatd', 'DLong', 'DLatd', 'Haversine',\n","       'Pmonth', 'Pday', 'Phour', 'Pmin', 'PDweek', 'Dmonth', 'Dday', 'Dhour',\n","       'Dmin', 'DDweek', 'Temp', 'Precip', 'Wind', 'Humid', 'Solar', 'Snow',\n","       'GroundTemp', 'Dust'],\n","      dtype='object')"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["df.columns"]},{"cell_type":"code","execution_count":7,"id":"3150f8a6","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:13:47.046445Z","iopub.status.busy":"2023-10-26T18:13:47.045829Z","iopub.status.idle":"2023-10-26T18:13:55.065845Z","shell.execute_reply":"2023-10-26T18:13:55.064594Z"},"papermill":{"duration":8.046627,"end_time":"2023-10-26T18:13:55.068614","exception":false,"start_time":"2023-10-26T18:13:47.021987","status":"completed"},"tags":[]},"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>Duration</th>\n","      <th>Distance</th>\n","      <th>PLong</th>\n","      <th>PLatd</th>\n","      <th>DLong</th>\n","      <th>DLatd</th>\n","      <th>Haversine</th>\n","      <th>Pmonth</th>\n","      <th>Pday</th>\n","      <th>Phour</th>\n","      <th>Pmin</th>\n","      <th>PDweek</th>\n","      <th>Dmonth</th>\n","      <th>Dday</th>\n","      <th>Dhour</th>\n","      <th>Dmin</th>\n","      <th>DDweek</th>\n","      <th>Temp</th>\n","      <th>Precip</th>\n","      <th>Wind</th>\n","      <th>Humid</th>\n","      <th>Solar</th>\n","      <th>Snow</th>\n","      <th>GroundTemp</th>\n","      <th>Dust</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","      <td>9.601139e+06</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>2.580294e+01</td>\n","      <td>-9.069010e-01</td>\n","      <td>3.754739e+01</td>\n","      <td>1.269909e+02</td>\n","      <td>3.754747e+01</td>\n","      <td>1.269907e+02</td>\n","      <td>1.870314e+00</td>\n","      <td>7.578754e+00</td>\n","      <td>1.576714e+01</td>\n","      <td>1.437801e+01</td>\n","      <td>2.914948e+01</td>\n","      <td>2.943812e+00</td>\n","      <td>7.579198e+00</td>\n","      <td>1.576666e+01</td>\n","      <td>1.442620e+01</td>\n","      <td>2.999278e+01</td>\n","      <td>2.945771e+00</td>\n","      <td>1.856200e+01</td>\n","      <td>1.784856e-02</td>\n","      <td>1.819273e+00</td>\n","      <td>5.397561e+01</td>\n","      <td>7.300681e-01</td>\n","      <td>9.948924e-03</td>\n","      <td>2.072376e+01</td>\n","      <td>3.245799e+01</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>2.504333e+01</td>\n","      <td>7.404757e+01</td>\n","      <td>4.441376e-02</td>\n","      <td>8.257065e-02</td>\n","      <td>4.445305e-02</td>\n","      <td>8.323726e-02</td>\n","      <td>1.995361e+00</td>\n","      <td>2.696797e+00</td>\n","      <td>8.748012e+00</td>\n","      <td>6.249244e+00</td>\n","      <td>1.725837e+01</td>\n","      <td>1.976063e+00</td>\n","      <td>2.696781e+00</td>\n","      <td>8.747788e+00</td>\n","      <td>6.484493e+00</td>\n","      <td>1.730960e+01</td>\n","      <td>1.977624e+00</td>\n","      <td>9.498075e+00</td>\n","      <td>3.736281e-01</td>\n","      <td>9.710258e-01</td>\n","      <td>1.742159e+01</td>\n","      <td>9.175004e-01</td>\n","      <td>1.628091e-01</td>\n","      <td>1.265221e+01</td>\n","      <td>2.407264e+01</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>1.000000e+00</td>\n","      <td>-1.280000e+02</td>\n","      <td>3.743727e+01</td>\n","      <td>1.267986e+02</td>\n","      <td>3.743727e+01</td>\n","      <td>1.267986e+02</td>\n","      <td>0.000000e+00</td>\n","      <td>1.000000e+00</td>\n","      <td>1.000000e+00</td>\n","      <td>0.000000e+00</td>\n","      <td>0.000000e+00</td>\n","      <td>0.000000e+00</td>\n","      <td>1.000000e+00</td>\n","      <td>1.000000e+00</td>\n","      <td>0.000000e+00</td>\n","      <td>0.000000e+00</td>\n","      <td>0.000000e+00</td>\n","      <td>-1.780000e+01</td>\n","      <td>0.000000e+00</td>\n","      <td>0.000000e+00</td>\n","      <td>1.000000e+01</td>\n","      <td>0.000000e+00</td>\n","      <td>0.000000e+00</td>\n","      <td>-1.360000e+01</td>\n","      <td>0.000000e+00</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>8.000000e+00</td>\n","      <td>-6.600000e+01</td>\n","      <td>3.751424e+01</td>\n","      <td>1.269200e+02</td>\n","      <td>3.751424e+01</td>\n","      <td>1.269194e+02</td>\n","      <td>6.758669e-01</td>\n","      <td>6.000000e+00</td>\n","      <td>8.000000e+00</td>\n","      <td>1.000000e+01</td>\n","      <td>1.400000e+01</td>\n","      <td>1.000000e+00</td>\n","      <td>6.000000e+00</td>\n","      <td>8.000000e+00</td>\n","      <td>1.000000e+01</td>\n","      <td>1.500000e+01</td>\n","      <td>1.000000e+00</td>\n","      <td>1.220000e+01</td>\n","      <td>0.000000e+00</td>\n","      <td>1.100000e+00</td>\n","      <td>4.100000e+01</td>\n","      <td>0.000000e+00</td>\n","      <td>0.000000e+00</td>\n","      <td>1.160000e+01</td>\n","      <td>1.600000e+01</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>1.600000e+01</td>\n","      <td>0.000000e+00</td>\n","      <td>3.754693e+01</td>\n","      <td>1.269943e+02</td>\n","      <td>3.754655e+01</td>\n","      <td>1.269947e+02</td>\n","      <td>1.257498e+00</td>\n","      <td>8.000000e+00</td>\n","      <td>1.600000e+01</td>\n","      <td>1.600000e+01</td>\n","      <td>2.900000e+01</td>\n","      <td>3.000000e+00</td>\n","      <td>8.000000e+00</td>\n","      <td>1.600000e+01</td>\n","      <td>1.600000e+01</td>\n","      <td>3.000000e+01</td>\n","      <td>3.000000e+00</td>\n","      <td>2.010000e+01</td>\n","      <td>0.000000e+00</td>\n","      <td>1.700000e+00</td>\n","      <td>5.300000e+01</td>\n","      <td>2.700000e-01</td>\n","      <td>0.000000e+00</td>\n","      <td>2.110000e+01</td>\n","      <td>2.700000e+01</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>3.600000e+01</td>\n","      <td>6.400000e+01</td>\n","      <td>3.757324e+01</td>\n","      <td>1.270618e+02</td>\n","      <td>3.757324e+01</td>\n","      <td>1.270624e+02</td>\n","      <td>2.363812e+00</td>\n","      <td>1.000000e+01</td>\n","      <td>2.300000e+01</td>\n","      <td>1.900000e+01</td>\n","      <td>4.400000e+01</td>\n","      <td>5.000000e+00</td>\n","      <td>1.000000e+01</td>\n","      <td>2.300000e+01</td>\n","      <td>2.000000e+01</td>\n","      <td>4.500000e+01</td>\n","      <td>5.000000e+00</td>\n","      <td>2.550000e+01</td>\n","      <td>0.000000e+00</td>\n","      <td>2.400000e+00</td>\n","      <td>6.700000e+01</td>\n","      <td>1.260000e+00</td>\n","      <td>0.000000e+00</td>\n","      <td>2.850000e+01</td>\n","      <td>4.200000e+01</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>1.190000e+02</td>\n","      <td>1.260000e+02</td>\n","      <td>3.768972e+01</td>\n","      <td>1.271803e+02</td>\n","      <td>3.768972e+01</td>\n","      <td>1.271803e+02</td>\n","      <td>2.863448e+01</td>\n","      <td>1.200000e+01</td>\n","      <td>3.100000e+01</td>\n","      <td>2.300000e+01</td>\n","      <td>5.900000e+01</td>\n","      <td>6.000000e+00</td>\n","      <td>1.200000e+01</td>\n","      <td>3.100000e+01</td>\n","      <td>2.300000e+01</td>\n","      <td>5.900000e+01</td>\n","      <td>6.000000e+00</td>\n","      <td>3.940000e+01</td>\n","      <td>3.500000e+01</td>\n","      <td>7.400000e+00</td>\n","      <td>9.800000e+01</td>\n","      <td>3.520000e+00</td>\n","      <td>8.800000e+00</td>\n","      <td>6.220000e+01</td>\n","      <td>3.040000e+02</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["           Duration      Distance         PLong         PLatd         DLong  \\\n","count  9.601139e+06  9.601139e+06  9.601139e+06  9.601139e+06  9.601139e+06   \n","mean   2.580294e+01 -9.069010e-01  3.754739e+01  1.269909e+02  3.754747e+01   \n","std    2.504333e+01  7.404757e+01  4.441376e-02  8.257065e-02  4.445305e-02   \n","min    1.000000e+00 -1.280000e+02  3.743727e+01  1.267986e+02  3.743727e+01   \n","25%    8.000000e+00 -6.600000e+01  3.751424e+01  1.269200e+02  3.751424e+01   \n","50%    1.600000e+01  0.000000e+00  3.754693e+01  1.269943e+02  3.754655e+01   \n","75%    3.600000e+01  6.400000e+01  3.757324e+01  1.270618e+02  3.757324e+01   \n","max    1.190000e+02  1.260000e+02  3.768972e+01  1.271803e+02  3.768972e+01   \n","\n","              DLatd     Haversine        Pmonth          Pday         Phour  \\\n","count  9.601139e+06  9.601139e+06  9.601139e+06  9.601139e+06  9.601139e+06   \n","mean   1.269907e+02  1.870314e+00  7.578754e+00  1.576714e+01  1.437801e+01   \n","std    8.323726e-02  1.995361e+00  2.696797e+00  8.748012e+00  6.249244e+00   \n","min    1.267986e+02  0.000000e+00  1.000000e+00  1.000000e+00  0.000000e+00   \n","25%    1.269194e+02  6.758669e-01  6.000000e+00  8.000000e+00  1.000000e+01   \n","50%    1.269947e+02  1.257498e+00  8.000000e+00  1.600000e+01  1.600000e+01   \n","75%    1.270624e+02  2.363812e+00  1.000000e+01  2.300000e+01  1.900000e+01   \n","max    1.271803e+02  2.863448e+01  1.200000e+01  3.100000e+01  2.300000e+01   \n","\n","               Pmin        PDweek        Dmonth          Dday         Dhour  \\\n","count  9.601139e+06  9.601139e+06  9.601139e+06  9.601139e+06  9.601139e+06   \n","mean   2.914948e+01  2.943812e+00  7.579198e+00  1.576666e+01  1.442620e+01   \n","std    1.725837e+01  1.976063e+00  2.696781e+00  8.747788e+00  6.484493e+00   \n","min    0.000000e+00  0.000000e+00  1.000000e+00  1.000000e+00  0.000000e+00   \n","25%    1.400000e+01  1.000000e+00  6.000000e+00  8.000000e+00  1.000000e+01   \n","50%    2.900000e+01  3.000000e+00  8.000000e+00  1.600000e+01  1.600000e+01   \n","75%    4.400000e+01  5.000000e+00  1.000000e+01  2.300000e+01  2.000000e+01   \n","max    5.900000e+01  6.000000e+00  1.200000e+01  3.100000e+01  2.300000e+01   \n","\n","               Dmin        DDweek          Temp        Precip          Wind  \\\n","count  9.601139e+06  9.601139e+06  9.601139e+06  9.601139e+06  9.601139e+06   \n","mean   2.999278e+01  2.945771e+00  1.856200e+01  1.784856e-02  1.819273e+00   \n","std    1.730960e+01  1.977624e+00  9.498075e+00  3.736281e-01  9.710258e-01   \n","min    0.000000e+00  0.000000e+00 -1.780000e+01  0.000000e+00  0.000000e+00   \n","25%    1.500000e+01  1.000000e+00  1.220000e+01  0.000000e+00  1.100000e+00   \n","50%    3.000000e+01  3.000000e+00  2.010000e+01  0.000000e+00  1.700000e+00   \n","75%    4.500000e+01  5.000000e+00  2.550000e+01  0.000000e+00  2.400000e+00   \n","max    5.900000e+01  6.000000e+00  3.940000e+01  3.500000e+01  7.400000e+00   \n","\n","              Humid         Solar          Snow    GroundTemp          Dust  \n","count  9.601139e+06  9.601139e+06  9.601139e+06  9.601139e+06  9.601139e+06  \n","mean   5.397561e+01  7.300681e-01  9.948924e-03  2.072376e+01  3.245799e+01  \n","std    1.742159e+01  9.175004e-01  1.628091e-01  1.265221e+01  2.407264e+01  \n","min    1.000000e+01  0.000000e+00  0.000000e+00 -1.360000e+01  0.000000e+00  \n","25%    4.100000e+01  0.000000e+00  0.000000e+00  1.160000e+01  1.600000e+01  \n","50%    5.300000e+01  2.700000e-01  0.000000e+00  2.110000e+01  2.700000e+01  \n","75%    6.700000e+01  1.260000e+00  0.000000e+00  2.850000e+01  4.200000e+01  \n","max    9.800000e+01  3.520000e+00  8.800000e+00  6.220000e+01  3.040000e+02  "]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["df.describe()"]},{"cell_type":"markdown","id":"8606d198","metadata":{"papermill":{"duration":0.088227,"end_time":"2023-10-26T18:13:55.180211","exception":false,"start_time":"2023-10-26T18:13:55.091984","status":"completed"},"tags":[]},"source":["**Observations:**\n","1. Distance: there are data points where the distance value is negatice (-ve)\n","2. Haversine: there are data points where the haversine value is 0. "]},{"cell_type":"markdown","id":"4e2c6527","metadata":{"papermill":{"duration":0.022634,"end_time":"2023-10-26T18:13:55.225653","exception":false,"start_time":"2023-10-26T18:13:55.203019","status":"completed"},"tags":[]},"source":["**Observation analysis 1. Distance**  \n","Exploring the data points where the distance is negative."]},{"cell_type":"code","execution_count":8,"id":"b7b75ac1","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:13:55.274837Z","iopub.status.busy":"2023-10-26T18:13:55.274135Z","iopub.status.idle":"2023-10-26T18:13:55.280924Z","shell.execute_reply":"2023-10-26T18:13:55.279792Z"},"papermill":{"duration":0.034428,"end_time":"2023-10-26T18:13:55.283167","exception":false,"start_time":"2023-10-26T18:13:55.248739","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(9601139, 25)"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["df.shape"]},{"cell_type":"code","execution_count":9,"id":"53cd762e","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:13:55.332023Z","iopub.status.busy":"2023-10-26T18:13:55.331387Z","iopub.status.idle":"2023-10-26T18:13:55.628555Z","shell.execute_reply":"2023-10-26T18:13:55.627254Z"},"papermill":{"duration":0.325253,"end_time":"2023-10-26T18:13:55.631426","exception":false,"start_time":"2023-10-26T18:13:55.306173","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(4787174, 25)"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["df[df['Distance']<0].shape"]},{"cell_type":"code","execution_count":10,"id":"eecfe0a8","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:13:55.679668Z","iopub.status.busy":"2023-10-26T18:13:55.679229Z","iopub.status.idle":"2023-10-26T18:13:55.995977Z","shell.execute_reply":"2023-10-26T18:13:55.994781Z"},"papermill":{"duration":0.34359,"end_time":"2023-10-26T18:13:55.99848","exception":false,"start_time":"2023-10-26T18:13:55.65489","status":"completed"},"tags":[]},"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>Duration</th>\n","      <th>Distance</th>\n","      <th>PLong</th>\n","      <th>PLatd</th>\n","      <th>DLong</th>\n","      <th>DLatd</th>\n","      <th>Haversine</th>\n","      <th>Pmonth</th>\n","      <th>Pday</th>\n","      <th>Phour</th>\n","      <th>Pmin</th>\n","      <th>PDweek</th>\n","      <th>Dmonth</th>\n","      <th>Dday</th>\n","      <th>Dhour</th>\n","      <th>Dmin</th>\n","      <th>DDweek</th>\n","      <th>Temp</th>\n","      <th>Precip</th>\n","      <th>Wind</th>\n","      <th>Humid</th>\n","      <th>Solar</th>\n","      <th>Snow</th>\n","      <th>GroundTemp</th>\n","      <th>Dust</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>6176536</th>\n","      <td>19</td>\n","      <td>-120</td>\n","      <td>37.613956</td>\n","      <td>127.030251</td>\n","      <td>37.638706</td>\n","      <td>127.015907</td>\n","      <td>3.028153</td>\n","      <td>9</td>\n","      <td>13</td>\n","      <td>3</td>\n","      <td>54</td>\n","      <td>3</td>\n","      <td>9</td>\n","      <td>13</td>\n","      <td>4</td>\n","      <td>15</td>\n","      <td>3</td>\n","      <td>20.900000</td>\n","      <td>0.0</td>\n","      <td>1.7</td>\n","      <td>68.0</td>\n","      <td>0.00</td>\n","      <td>0.0</td>\n","      <td>20.000000</td>\n","      <td>27.0</td>\n","    </tr>\n","    <tr>\n","      <th>8576807</th>\n","      <td>16</td>\n","      <td>-102</td>\n","      <td>37.586388</td>\n","      <td>126.935127</td>\n","      <td>37.564541</td>\n","      <td>126.927071</td>\n","      <td>2.530896</td>\n","      <td>11</td>\n","      <td>5</td>\n","      <td>13</td>\n","      <td>45</td>\n","      <td>0</td>\n","      <td>11</td>\n","      <td>5</td>\n","      <td>14</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>16.799999</td>\n","      <td>0.0</td>\n","      <td>1.1</td>\n","      <td>46.0</td>\n","      <td>1.71</td>\n","      <td>0.0</td>\n","      <td>23.200001</td>\n","      <td>58.0</td>\n","    </tr>\n","    <tr>\n","      <th>8714908</th>\n","      <td>5</td>\n","      <td>-44</td>\n","      <td>37.464550</td>\n","      <td>126.883728</td>\n","      <td>37.456841</td>\n","      <td>126.888344</td>\n","      <td>0.949100</td>\n","      <td>11</td>\n","      <td>10</td>\n","      <td>8</td>\n","      <td>50</td>\n","      <td>5</td>\n","      <td>11</td>\n","      <td>10</td>\n","      <td>8</td>\n","      <td>56</td>\n","      <td>5</td>\n","      <td>9.300000</td>\n","      <td>0.0</td>\n","      <td>0.3</td>\n","      <td>85.0</td>\n","      <td>0.07</td>\n","      <td>0.0</td>\n","      <td>8.700000</td>\n","      <td>83.0</td>\n","    </tr>\n","    <tr>\n","      <th>4599459</th>\n","      <td>6</td>\n","      <td>-44</td>\n","      <td>37.546307</td>\n","      <td>127.049805</td>\n","      <td>37.539654</td>\n","      <td>127.052589</td>\n","      <td>0.779438</td>\n","      <td>8</td>\n","      <td>1</td>\n","      <td>12</td>\n","      <td>17</td>\n","      <td>2</td>\n","      <td>8</td>\n","      <td>1</td>\n","      <td>12</td>\n","      <td>23</td>\n","      <td>2</td>\n","      <td>36.799999</td>\n","      <td>0.0</td>\n","      <td>1.3</td>\n","      <td>39.0</td>\n","      <td>2.80</td>\n","      <td>0.0</td>\n","      <td>54.900002</td>\n","      <td>37.0</td>\n","    </tr>\n","    <tr>\n","      <th>4460101</th>\n","      <td>59</td>\n","      <td>-80</td>\n","      <td>37.556610</td>\n","      <td>126.898018</td>\n","      <td>37.556610</td>\n","      <td>126.898018</td>\n","      <td>0.000000</td>\n","      <td>7</td>\n","      <td>27</td>\n","      <td>21</td>\n","      <td>17</td>\n","      <td>4</td>\n","      <td>7</td>\n","      <td>27</td>\n","      <td>22</td>\n","      <td>16</td>\n","      <td>4</td>\n","      <td>30.299999</td>\n","      <td>0.0</td>\n","      <td>1.1</td>\n","      <td>75.0</td>\n","      <td>0.00</td>\n","      <td>0.0</td>\n","      <td>30.200001</td>\n","      <td>28.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["         Duration  Distance      PLong       PLatd      DLong       DLatd  \\\n","6176536        19      -120  37.613956  127.030251  37.638706  127.015907   \n","8576807        16      -102  37.586388  126.935127  37.564541  126.927071   \n","8714908         5       -44  37.464550  126.883728  37.456841  126.888344   \n","4599459         6       -44  37.546307  127.049805  37.539654  127.052589   \n","4460101        59       -80  37.556610  126.898018  37.556610  126.898018   \n","\n","         Haversine  Pmonth  Pday  Phour  Pmin  PDweek  Dmonth  Dday  Dhour  \\\n","6176536   3.028153       9    13      3    54       3       9    13      4   \n","8576807   2.530896      11     5     13    45       0      11     5     14   \n","8714908   0.949100      11    10      8    50       5      11    10      8   \n","4599459   0.779438       8     1     12    17       2       8     1     12   \n","4460101   0.000000       7    27     21    17       4       7    27     22   \n","\n","         Dmin  DDweek       Temp  Precip  Wind  Humid  Solar  Snow  \\\n","6176536    15       3  20.900000     0.0   1.7   68.0   0.00   0.0   \n","8576807     2       0  16.799999     0.0   1.1   46.0   1.71   0.0   \n","8714908    56       5   9.300000     0.0   0.3   85.0   0.07   0.0   \n","4599459    23       2  36.799999     0.0   1.3   39.0   2.80   0.0   \n","4460101    16       4  30.299999     0.0   1.1   75.0   0.00   0.0   \n","\n","         GroundTemp  Dust  \n","6176536   20.000000  27.0  \n","8576807   23.200001  58.0  \n","8714908    8.700000  83.0  \n","4599459   54.900002  37.0  \n","4460101   30.200001  28.0  "]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["df[df['Distance']<0].head()"]},{"cell_type":"code","execution_count":11,"id":"fdbc64fc","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:13:56.052231Z","iopub.status.busy":"2023-10-26T18:13:56.051851Z","iopub.status.idle":"2023-10-26T18:14:03.565818Z","shell.execute_reply":"2023-10-26T18:14:03.56459Z"},"papermill":{"duration":7.542418,"end_time":"2023-10-26T18:14:03.56861","exception":false,"start_time":"2023-10-26T18:13:56.026192","status":"completed"},"tags":[]},"outputs":[],"source":["# transforming all the -ve distance to +ve distance\n","df['Distance'] = df['Distance'].apply(lambda x: abs(x))"]},{"cell_type":"code","execution_count":12,"id":"6bd84a3f","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:03.619141Z","iopub.status.busy":"2023-10-26T18:14:03.618762Z","iopub.status.idle":"2023-10-26T18:14:03.635867Z","shell.execute_reply":"2023-10-26T18:14:03.634729Z"},"papermill":{"duration":0.04579,"end_time":"2023-10-26T18:14:03.638325","exception":false,"start_time":"2023-10-26T18:14:03.592535","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(0, 25)"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["df[df['Distance']<0].shape"]},{"cell_type":"markdown","id":"d21c25cb","metadata":{"execution":{"iopub.execute_input":"2023-10-20T17:46:07.835676Z","iopub.status.busy":"2023-10-20T17:46:07.835289Z","iopub.status.idle":"2023-10-20T17:46:07.843139Z","shell.execute_reply":"2023-10-20T17:46:07.842272Z","shell.execute_reply.started":"2023-10-20T17:46:07.835647Z"},"papermill":{"duration":0.023672,"end_time":"2023-10-26T18:14:03.685613","exception":false,"start_time":"2023-10-26T18:14:03.661941","status":"completed"},"tags":[]},"source":["**Observation analysis 2. haversine**    \n","Exploring the data points where the haversine value is 0.   \n","It should mean that pick up and drop off location (longitude and latitude) are the same."]},{"cell_type":"code","execution_count":13,"id":"aec6d912","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:03.735025Z","iopub.status.busy":"2023-10-26T18:14:03.734189Z","iopub.status.idle":"2023-10-26T18:14:03.741023Z","shell.execute_reply":"2023-10-26T18:14:03.740132Z"},"papermill":{"duration":0.034095,"end_time":"2023-10-26T18:14:03.74325","exception":false,"start_time":"2023-10-26T18:14:03.709155","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(9601139, 25)"]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["df.shape"]},{"cell_type":"code","execution_count":14,"id":"6bc116d4","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:03.79415Z","iopub.status.busy":"2023-10-26T18:14:03.793433Z","iopub.status.idle":"2023-10-26T18:14:03.940867Z","shell.execute_reply":"2023-10-26T18:14:03.939602Z"},"papermill":{"duration":0.175895,"end_time":"2023-10-26T18:14:03.943465","exception":false,"start_time":"2023-10-26T18:14:03.76757","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(955083, 25)"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["df[df['Haversine']==0].shape"]},{"cell_type":"code","execution_count":15,"id":"45fbf6f3","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:03.993207Z","iopub.status.busy":"2023-10-26T18:14:03.992835Z","iopub.status.idle":"2023-10-26T18:14:04.216898Z","shell.execute_reply":"2023-10-26T18:14:04.215972Z"},"papermill":{"duration":0.2517,"end_time":"2023-10-26T18:14:04.219127","exception":false,"start_time":"2023-10-26T18:14:03.967427","status":"completed"},"tags":[]},"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>Duration</th>\n","      <th>Distance</th>\n","      <th>PLong</th>\n","      <th>PLatd</th>\n","      <th>DLong</th>\n","      <th>DLatd</th>\n","      <th>Haversine</th>\n","      <th>Pmonth</th>\n","      <th>Pday</th>\n","      <th>Phour</th>\n","      <th>Pmin</th>\n","      <th>PDweek</th>\n","      <th>Dmonth</th>\n","      <th>Dday</th>\n","      <th>Dhour</th>\n","      <th>Dmin</th>\n","      <th>DDweek</th>\n","      <th>Temp</th>\n","      <th>Precip</th>\n","      <th>Wind</th>\n","      <th>Humid</th>\n","      <th>Solar</th>\n","      <th>Snow</th>\n","      <th>GroundTemp</th>\n","      <th>Dust</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>59</td>\n","      <td>80</td>\n","      <td>37.556610</td>\n","      <td>126.898018</td>\n","      <td>37.556610</td>\n","      <td>126.898018</td>\n","      <td>0.0</td>\n","      <td>7</td>\n","      <td>27</td>\n","      <td>21</td>\n","      <td>17</td>\n","      <td>4</td>\n","      <td>7</td>\n","      <td>27</td>\n","      <td>22</td>\n","      <td>16</td>\n","      <td>4</td>\n","      <td>30.299999</td>\n","      <td>0.0</td>\n","      <td>1.1</td>\n","      <td>75.0</td>\n","      <td>0.00</td>\n","      <td>0.0</td>\n","      <td>30.200001</td>\n","      <td>28.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>47</td>\n","      <td>120</td>\n","      <td>37.546631</td>\n","      <td>127.155884</td>\n","      <td>37.546631</td>\n","      <td>127.155884</td>\n","      <td>0.0</td>\n","      <td>3</td>\n","      <td>17</td>\n","      <td>16</td>\n","      <td>24</td>\n","      <td>5</td>\n","      <td>3</td>\n","      <td>17</td>\n","      <td>17</td>\n","      <td>12</td>\n","      <td>5</td>\n","      <td>13.700000</td>\n","      <td>0.0</td>\n","      <td>2.1</td>\n","      <td>28.0</td>\n","      <td>1.88</td>\n","      <td>0.0</td>\n","      <td>18.500000</td>\n","      <td>43.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>66</td>\n","      <td>40</td>\n","      <td>37.658588</td>\n","      <td>127.035210</td>\n","      <td>37.658588</td>\n","      <td>127.035210</td>\n","      <td>0.0</td>\n","      <td>8</td>\n","      <td>21</td>\n","      <td>20</td>\n","      <td>57</td>\n","      <td>1</td>\n","      <td>8</td>\n","      <td>21</td>\n","      <td>22</td>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>27.700001</td>\n","      <td>0.0</td>\n","      <td>1.6</td>\n","      <td>69.0</td>\n","      <td>0.01</td>\n","      <td>0.0</td>\n","      <td>24.799999</td>\n","      <td>26.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>17</td>\n","      <td>32</td>\n","      <td>37.519363</td>\n","      <td>126.926048</td>\n","      <td>37.519363</td>\n","      <td>126.926048</td>\n","      <td>0.0</td>\n","      <td>3</td>\n","      <td>28</td>\n","      <td>17</td>\n","      <td>24</td>\n","      <td>2</td>\n","      <td>3</td>\n","      <td>28</td>\n","      <td>17</td>\n","      <td>42</td>\n","      <td>2</td>\n","      <td>17.600000</td>\n","      <td>0.0</td>\n","      <td>4.2</td>\n","      <td>45.0</td>\n","      <td>0.70</td>\n","      <td>0.0</td>\n","      <td>17.100000</td>\n","      <td>28.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>39</td>\n","      <td>36</td>\n","      <td>37.537308</td>\n","      <td>127.070351</td>\n","      <td>37.537308</td>\n","      <td>127.070351</td>\n","      <td>0.0</td>\n","      <td>6</td>\n","      <td>16</td>\n","      <td>21</td>\n","      <td>6</td>\n","      <td>5</td>\n","      <td>6</td>\n","      <td>16</td>\n","      <td>21</td>\n","      <td>45</td>\n","      <td>5</td>\n","      <td>23.700001</td>\n","      <td>0.0</td>\n","      <td>1.7</td>\n","      <td>64.0</td>\n","      <td>0.00</td>\n","      <td>0.0</td>\n","      <td>21.900000</td>\n","      <td>33.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   Duration  Distance      PLong       PLatd      DLong       DLatd  \\\n","0        59        80  37.556610  126.898018  37.556610  126.898018   \n","1        47       120  37.546631  127.155884  37.546631  127.155884   \n","2        66        40  37.658588  127.035210  37.658588  127.035210   \n","3        17        32  37.519363  126.926048  37.519363  126.926048   \n","4        39        36  37.537308  127.070351  37.537308  127.070351   \n","\n","   Haversine  Pmonth  Pday  Phour  Pmin  PDweek  Dmonth  Dday  Dhour  Dmin  \\\n","0        0.0       7    27     21    17       4       7    27     22    16   \n","1        0.0       3    17     16    24       5       3    17     17    12   \n","2        0.0       8    21     20    57       1       8    21     22     4   \n","3        0.0       3    28     17    24       2       3    28     17    42   \n","4        0.0       6    16     21     6       5       6    16     21    45   \n","\n","   DDweek       Temp  Precip  Wind  Humid  Solar  Snow  GroundTemp  Dust  \n","0       4  30.299999     0.0   1.1   75.0   0.00   0.0   30.200001  28.0  \n","1       5  13.700000     0.0   2.1   28.0   1.88   0.0   18.500000  43.0  \n","2       1  27.700001     0.0   1.6   69.0   0.01   0.0   24.799999  26.0  \n","3       2  17.600000     0.0   4.2   45.0   0.70   0.0   17.100000  28.0  \n","4       5  23.700001     0.0   1.7   64.0   0.00   0.0   21.900000  33.0  "]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["df[df['Haversine']==0].reset_index().drop(columns=['index']).head()"]},{"cell_type":"code","execution_count":16,"id":"75f3e09c","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:04.270145Z","iopub.status.busy":"2023-10-26T18:14:04.269423Z","iopub.status.idle":"2023-10-26T18:14:05.34554Z","shell.execute_reply":"2023-10-26T18:14:05.344251Z"},"papermill":{"duration":1.104622,"end_time":"2023-10-26T18:14:05.34823","exception":false,"start_time":"2023-10-26T18:14:04.243608","status":"completed"},"tags":[]},"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>Duration</th>\n","      <th>Distance</th>\n","      <th>PLong</th>\n","      <th>PLatd</th>\n","      <th>DLong</th>\n","      <th>DLatd</th>\n","      <th>Haversine</th>\n","      <th>Pmonth</th>\n","      <th>Pday</th>\n","      <th>Phour</th>\n","      <th>Pmin</th>\n","      <th>PDweek</th>\n","      <th>Dmonth</th>\n","      <th>Dday</th>\n","      <th>Dhour</th>\n","      <th>Dmin</th>\n","      <th>DDweek</th>\n","      <th>Temp</th>\n","      <th>Precip</th>\n","      <th>Wind</th>\n","      <th>Humid</th>\n","      <th>Solar</th>\n","      <th>Snow</th>\n","      <th>GroundTemp</th>\n","      <th>Dust</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.0</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","      <td>955083.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>49.878425</td>\n","      <td>63.555497</td>\n","      <td>37.546593</td>\n","      <td>126.989731</td>\n","      <td>37.546593</td>\n","      <td>126.989731</td>\n","      <td>0.0</td>\n","      <td>7.367401</td>\n","      <td>15.648030</td>\n","      <td>15.695371</td>\n","      <td>29.346679</td>\n","      <td>3.190157</td>\n","      <td>7.368260</td>\n","      <td>15.646774</td>\n","      <td>15.795307</td>\n","      <td>29.606122</td>\n","      <td>3.191605</td>\n","      <td>20.290329</td>\n","      <td>0.015202</td>\n","      <td>1.937013</td>\n","      <td>51.137749</td>\n","      <td>0.896492</td>\n","      <td>0.007591</td>\n","      <td>23.291321</td>\n","      <td>32.303013</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>30.473000</td>\n","      <td>36.989730</td>\n","      <td>0.045334</td>\n","      <td>0.084399</td>\n","      <td>0.045334</td>\n","      <td>0.084399</td>\n","      <td>0.0</td>\n","      <td>2.556475</td>\n","      <td>8.761283</td>\n","      <td>5.232936</td>\n","      <td>17.260827</td>\n","      <td>2.066626</td>\n","      <td>2.556467</td>\n","      <td>8.761114</td>\n","      <td>5.831401</td>\n","      <td>17.347721</td>\n","      <td>2.069881</td>\n","      <td>8.441665</td>\n","      <td>0.309063</td>\n","      <td>0.961516</td>\n","      <td>17.037958</td>\n","      <td>0.991830</td>\n","      <td>0.143294</td>\n","      <td>11.826364</td>\n","      <td>23.582991</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>2.000000</td>\n","      <td>0.000000</td>\n","      <td>37.437271</td>\n","      <td>126.798599</td>\n","      <td>37.437271</td>\n","      <td>126.798599</td>\n","      <td>0.0</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>-17.799999</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>10.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>-13.600000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>26.000000</td>\n","      <td>32.000000</td>\n","      <td>37.514088</td>\n","      <td>126.918503</td>\n","      <td>37.514088</td>\n","      <td>126.918503</td>\n","      <td>0.0</td>\n","      <td>5.000000</td>\n","      <td>8.000000</td>\n","      <td>13.000000</td>\n","      <td>14.000000</td>\n","      <td>1.000000</td>\n","      <td>5.000000</td>\n","      <td>8.000000</td>\n","      <td>13.000000</td>\n","      <td>15.000000</td>\n","      <td>1.000000</td>\n","      <td>15.700000</td>\n","      <td>0.000000</td>\n","      <td>1.200000</td>\n","      <td>38.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>15.800000</td>\n","      <td>16.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>47.000000</td>\n","      <td>64.000000</td>\n","      <td>37.542816</td>\n","      <td>126.995476</td>\n","      <td>37.542816</td>\n","      <td>126.995476</td>\n","      <td>0.0</td>\n","      <td>8.000000</td>\n","      <td>16.000000</td>\n","      <td>17.000000</td>\n","      <td>29.000000</td>\n","      <td>3.000000</td>\n","      <td>8.000000</td>\n","      <td>16.000000</td>\n","      <td>17.000000</td>\n","      <td>29.000000</td>\n","      <td>3.000000</td>\n","      <td>21.600000</td>\n","      <td>0.000000</td>\n","      <td>1.800000</td>\n","      <td>50.000000</td>\n","      <td>0.510000</td>\n","      <td>0.000000</td>\n","      <td>23.299999</td>\n","      <td>27.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>69.000000</td>\n","      <td>96.000000</td>\n","      <td>37.572113</td>\n","      <td>127.062424</td>\n","      <td>37.572113</td>\n","      <td>127.062424</td>\n","      <td>0.0</td>\n","      <td>9.000000</td>\n","      <td>23.000000</td>\n","      <td>20.000000</td>\n","      <td>44.000000</td>\n","      <td>5.000000</td>\n","      <td>9.000000</td>\n","      <td>23.000000</td>\n","      <td>20.000000</td>\n","      <td>45.000000</td>\n","      <td>5.000000</td>\n","      <td>26.299999</td>\n","      <td>0.000000</td>\n","      <td>2.600000</td>\n","      <td>63.000000</td>\n","      <td>1.680000</td>\n","      <td>0.000000</td>\n","      <td>30.299999</td>\n","      <td>42.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>119.000000</td>\n","      <td>128.000000</td>\n","      <td>37.689720</td>\n","      <td>127.180267</td>\n","      <td>37.689720</td>\n","      <td>127.180267</td>\n","      <td>0.0</td>\n","      <td>12.000000</td>\n","      <td>31.000000</td>\n","      <td>23.000000</td>\n","      <td>59.000000</td>\n","      <td>6.000000</td>\n","      <td>12.000000</td>\n","      <td>31.000000</td>\n","      <td>23.000000</td>\n","      <td>59.000000</td>\n","      <td>6.000000</td>\n","      <td>39.400002</td>\n","      <td>35.000000</td>\n","      <td>7.400000</td>\n","      <td>98.000000</td>\n","      <td>3.520000</td>\n","      <td>8.800000</td>\n","      <td>62.200001</td>\n","      <td>304.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["            Duration       Distance          PLong          PLatd  \\\n","count  955083.000000  955083.000000  955083.000000  955083.000000   \n","mean       49.878425      63.555497      37.546593     126.989731   \n","std        30.473000      36.989730       0.045334       0.084399   \n","min         2.000000       0.000000      37.437271     126.798599   \n","25%        26.000000      32.000000      37.514088     126.918503   \n","50%        47.000000      64.000000      37.542816     126.995476   \n","75%        69.000000      96.000000      37.572113     127.062424   \n","max       119.000000     128.000000      37.689720     127.180267   \n","\n","               DLong          DLatd  Haversine         Pmonth           Pday  \\\n","count  955083.000000  955083.000000   955083.0  955083.000000  955083.000000   \n","mean       37.546593     126.989731        0.0       7.367401      15.648030   \n","std         0.045334       0.084399        0.0       2.556475       8.761283   \n","min        37.437271     126.798599        0.0       1.000000       1.000000   \n","25%        37.514088     126.918503        0.0       5.000000       8.000000   \n","50%        37.542816     126.995476        0.0       8.000000      16.000000   \n","75%        37.572113     127.062424        0.0       9.000000      23.000000   \n","max        37.689720     127.180267        0.0      12.000000      31.000000   \n","\n","               Phour           Pmin         PDweek         Dmonth  \\\n","count  955083.000000  955083.000000  955083.000000  955083.000000   \n","mean       15.695371      29.346679       3.190157       7.368260   \n","std         5.232936      17.260827       2.066626       2.556467   \n","min         0.000000       0.000000       0.000000       1.000000   \n","25%        13.000000      14.000000       1.000000       5.000000   \n","50%        17.000000      29.000000       3.000000       8.000000   \n","75%        20.000000      44.000000       5.000000       9.000000   \n","max        23.000000      59.000000       6.000000      12.000000   \n","\n","                Dday          Dhour           Dmin         DDweek  \\\n","count  955083.000000  955083.000000  955083.000000  955083.000000   \n","mean       15.646774      15.795307      29.606122       3.191605   \n","std         8.761114       5.831401      17.347721       2.069881   \n","min         1.000000       0.000000       0.000000       0.000000   \n","25%         8.000000      13.000000      15.000000       1.000000   \n","50%        16.000000      17.000000      29.000000       3.000000   \n","75%        23.000000      20.000000      45.000000       5.000000   \n","max        31.000000      23.000000      59.000000       6.000000   \n","\n","                Temp         Precip           Wind          Humid  \\\n","count  955083.000000  955083.000000  955083.000000  955083.000000   \n","mean       20.290329       0.015202       1.937013      51.137749   \n","std         8.441665       0.309063       0.961516      17.037958   \n","min       -17.799999       0.000000       0.000000      10.000000   \n","25%        15.700000       0.000000       1.200000      38.000000   \n","50%        21.600000       0.000000       1.800000      50.000000   \n","75%        26.299999       0.000000       2.600000      63.000000   \n","max        39.400002      35.000000       7.400000      98.000000   \n","\n","               Solar           Snow     GroundTemp           Dust  \n","count  955083.000000  955083.000000  955083.000000  955083.000000  \n","mean        0.896492       0.007591      23.291321      32.303013  \n","std         0.991830       0.143294      11.826364      23.582991  \n","min         0.000000       0.000000     -13.600000       0.000000  \n","25%         0.000000       0.000000      15.800000      16.000000  \n","50%         0.510000       0.000000      23.299999      27.000000  \n","75%         1.680000       0.000000      30.299999      42.000000  \n","max         3.520000       8.800000      62.200001     304.000000  "]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["df[df['Haversine']==0].reset_index().drop(columns=['index']).describe()"]},{"cell_type":"markdown","id":"9570183c","metadata":{"papermill":{"duration":0.024741,"end_time":"2023-10-26T18:14:05.397944","exception":false,"start_time":"2023-10-26T18:14:05.373203","status":"completed"},"tags":[]},"source":["- Despite having a haversine distance of 0, indicating that the pick-up and drop-off locations are identical, the duration of trips exhibits a minimum value of 2 minutes and a maximum value of 119 minutes. \n","- This suggests that bicycles may have traveled round-trip journeys, returning to the pick-up location after visiting other destinations. \n","- The removal of such data points could potentially impact the performance of the model. However we dont have any additional info about round trips. Hence we can remove them for the time being. \n","\n","- **NOTE**: In future we can add new feature to record the round trips or better an new long,latd coumns to record the co-ordinates of the midpoint of the entire journey. Which will help us in confirming about round trips."]},{"cell_type":"code","execution_count":17,"id":"f006685e","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:05.450234Z","iopub.status.busy":"2023-10-26T18:14:05.449841Z","iopub.status.idle":"2023-10-26T18:14:05.48811Z","shell.execute_reply":"2023-10-26T18:14:05.486987Z"},"papermill":{"duration":0.067705,"end_time":"2023-10-26T18:14:05.490573","exception":false,"start_time":"2023-10-26T18:14:05.422868","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(69022, 25)"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["df[df['Distance']==0].shape"]},{"cell_type":"code","execution_count":18,"id":"aa866262","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:05.543075Z","iopub.status.busy":"2023-10-26T18:14:05.542076Z","iopub.status.idle":"2023-10-26T18:14:05.602193Z","shell.execute_reply":"2023-10-26T18:14:05.601033Z"},"papermill":{"duration":0.089236,"end_time":"2023-10-26T18:14:05.604744","exception":false,"start_time":"2023-10-26T18:14:05.515508","status":"completed"},"tags":[]},"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>Duration</th>\n","      <th>Distance</th>\n","      <th>PLong</th>\n","      <th>PLatd</th>\n","      <th>DLong</th>\n","      <th>DLatd</th>\n","      <th>Haversine</th>\n","      <th>Pmonth</th>\n","      <th>Pday</th>\n","      <th>Phour</th>\n","      <th>Pmin</th>\n","      <th>PDweek</th>\n","      <th>Dmonth</th>\n","      <th>Dday</th>\n","      <th>Dhour</th>\n","      <th>Dmin</th>\n","      <th>DDweek</th>\n","      <th>Temp</th>\n","      <th>Precip</th>\n","      <th>Wind</th>\n","      <th>Humid</th>\n","      <th>Solar</th>\n","      <th>Snow</th>\n","      <th>GroundTemp</th>\n","      <th>Dust</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>7031292</th>\n","      <td>6</td>\n","      <td>0</td>\n","      <td>37.483879</td>\n","      <td>127.089027</td>\n","      <td>37.487350</td>\n","      <td>127.100998</td>\n","      <td>1.124556</td>\n","      <td>10</td>\n","      <td>1</td>\n","      <td>17</td>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>10</td>\n","      <td>1</td>\n","      <td>17</td>\n","      <td>11</td>\n","      <td>0</td>\n","      <td>17.200001</td>\n","      <td>0.0</td>\n","      <td>2.9</td>\n","      <td>53.0</td>\n","      <td>0.25</td>\n","      <td>0.0</td>\n","      <td>21.000000</td>\n","      <td>14.0</td>\n","    </tr>\n","    <tr>\n","      <th>5257598</th>\n","      <td>18</td>\n","      <td>0</td>\n","      <td>37.472610</td>\n","      <td>126.983009</td>\n","      <td>37.488453</td>\n","      <td>126.974213</td>\n","      <td>1.925067</td>\n","      <td>8</td>\n","      <td>20</td>\n","      <td>19</td>\n","      <td>33</td>\n","      <td>0</td>\n","      <td>8</td>\n","      <td>20</td>\n","      <td>19</td>\n","      <td>53</td>\n","      <td>0</td>\n","      <td>30.799999</td>\n","      <td>0.0</td>\n","      <td>1.9</td>\n","      <td>55.0</td>\n","      <td>0.06</td>\n","      <td>0.0</td>\n","      <td>32.200001</td>\n","      <td>35.0</td>\n","    </tr>\n","    <tr>\n","      <th>3491259</th>\n","      <td>10</td>\n","      <td>0</td>\n","      <td>37.479465</td>\n","      <td>127.125328</td>\n","      <td>37.484531</td>\n","      <td>127.120163</td>\n","      <td>0.724591</td>\n","      <td>6</td>\n","      <td>30</td>\n","      <td>0</td>\n","      <td>15</td>\n","      <td>5</td>\n","      <td>6</td>\n","      <td>30</td>\n","      <td>0</td>\n","      <td>26</td>\n","      <td>5</td>\n","      <td>23.000000</td>\n","      <td>0.0</td>\n","      <td>1.9</td>\n","      <td>84.0</td>\n","      <td>0.00</td>\n","      <td>0.0</td>\n","      <td>21.100000</td>\n","      <td>48.0</td>\n","    </tr>\n","    <tr>\n","      <th>233250</th>\n","      <td>23</td>\n","      <td>0</td>\n","      <td>37.469139</td>\n","      <td>126.897202</td>\n","      <td>37.475319</td>\n","      <td>126.898888</td>\n","      <td>0.703109</td>\n","      <td>2</td>\n","      <td>15</td>\n","      <td>20</td>\n","      <td>46</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>15</td>\n","      <td>21</td>\n","      <td>10</td>\n","      <td>3</td>\n","      <td>-0.400000</td>\n","      <td>0.0</td>\n","      <td>2.2</td>\n","      <td>27.0</td>\n","      <td>0.00</td>\n","      <td>0.0</td>\n","      <td>-0.600000</td>\n","      <td>19.0</td>\n","    </tr>\n","    <tr>\n","      <th>4330145</th>\n","      <td>61</td>\n","      <td>0</td>\n","      <td>37.501713</td>\n","      <td>126.995476</td>\n","      <td>37.506199</td>\n","      <td>127.003944</td>\n","      <td>0.898223</td>\n","      <td>7</td>\n","      <td>24</td>\n","      <td>8</td>\n","      <td>56</td>\n","      <td>1</td>\n","      <td>7</td>\n","      <td>24</td>\n","      <td>9</td>\n","      <td>58</td>\n","      <td>1</td>\n","      <td>29.900000</td>\n","      <td>0.0</td>\n","      <td>0.8</td>\n","      <td>59.0</td>\n","      <td>1.03</td>\n","      <td>0.0</td>\n","      <td>30.700001</td>\n","      <td>22.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["         Duration  Distance      PLong       PLatd      DLong       DLatd  \\\n","7031292         6         0  37.483879  127.089027  37.487350  127.100998   \n","5257598        18         0  37.472610  126.983009  37.488453  126.974213   \n","3491259        10         0  37.479465  127.125328  37.484531  127.120163   \n","233250         23         0  37.469139  126.897202  37.475319  126.898888   \n","4330145        61         0  37.501713  126.995476  37.506199  127.003944   \n","\n","         Haversine  Pmonth  Pday  Phour  Pmin  PDweek  Dmonth  Dday  Dhour  \\\n","7031292   1.124556      10     1     17     5       0      10     1     17   \n","5257598   1.925067       8    20     19    33       0       8    20     19   \n","3491259   0.724591       6    30      0    15       5       6    30      0   \n","233250    0.703109       2    15     20    46       3       2    15     21   \n","4330145   0.898223       7    24      8    56       1       7    24      9   \n","\n","         Dmin  DDweek       Temp  Precip  Wind  Humid  Solar  Snow  \\\n","7031292    11       0  17.200001     0.0   2.9   53.0   0.25   0.0   \n","5257598    53       0  30.799999     0.0   1.9   55.0   0.06   0.0   \n","3491259    26       5  23.000000     0.0   1.9   84.0   0.00   0.0   \n","233250     10       3  -0.400000     0.0   2.2   27.0   0.00   0.0   \n","4330145    58       1  29.900000     0.0   0.8   59.0   1.03   0.0   \n","\n","         GroundTemp  Dust  \n","7031292   21.000000  14.0  \n","5257598   32.200001  35.0  \n","3491259   21.100000  48.0  \n","233250    -0.600000  19.0  \n","4330145   30.700001  22.0  "]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["df[df['Distance']==0].head()"]},{"cell_type":"code","execution_count":19,"id":"4bc9f362","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:05.658073Z","iopub.status.busy":"2023-10-26T18:14:05.657671Z","iopub.status.idle":"2023-10-26T18:14:05.774012Z","shell.execute_reply":"2023-10-26T18:14:05.772869Z"},"papermill":{"duration":0.146001,"end_time":"2023-10-26T18:14:05.776564","exception":false,"start_time":"2023-10-26T18:14:05.630563","status":"completed"},"tags":[]},"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>Duration</th>\n","      <th>Distance</th>\n","      <th>PLong</th>\n","      <th>PLatd</th>\n","      <th>DLong</th>\n","      <th>DLatd</th>\n","      <th>Haversine</th>\n","      <th>Pmonth</th>\n","      <th>Pday</th>\n","      <th>Phour</th>\n","      <th>Pmin</th>\n","      <th>PDweek</th>\n","      <th>Dmonth</th>\n","      <th>Dday</th>\n","      <th>Dhour</th>\n","      <th>Dmin</th>\n","      <th>DDweek</th>\n","      <th>Temp</th>\n","      <th>Precip</th>\n","      <th>Wind</th>\n","      <th>Humid</th>\n","      <th>Solar</th>\n","      <th>Snow</th>\n","      <th>GroundTemp</th>\n","      <th>Dust</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1105115</th>\n","      <td>42</td>\n","      <td>0</td>\n","      <td>37.483990</td>\n","      <td>127.034180</td>\n","      <td>37.483990</td>\n","      <td>127.034180</td>\n","      <td>0.0</td>\n","      <td>4</td>\n","      <td>17</td>\n","      <td>19</td>\n","      <td>7</td>\n","      <td>1</td>\n","      <td>4</td>\n","      <td>17</td>\n","      <td>19</td>\n","      <td>7</td>\n","      <td>1</td>\n","      <td>14.500000</td>\n","      <td>0.0</td>\n","      <td>3.1</td>\n","      <td>31.0</td>\n","      <td>0.25</td>\n","      <td>0.0</td>\n","      <td>13.200000</td>\n","      <td>91.0</td>\n","    </tr>\n","    <tr>\n","      <th>1105116</th>\n","      <td>42</td>\n","      <td>0</td>\n","      <td>37.483990</td>\n","      <td>127.034180</td>\n","      <td>37.483990</td>\n","      <td>127.034180</td>\n","      <td>0.0</td>\n","      <td>4</td>\n","      <td>17</td>\n","      <td>19</td>\n","      <td>7</td>\n","      <td>1</td>\n","      <td>4</td>\n","      <td>17</td>\n","      <td>19</td>\n","      <td>7</td>\n","      <td>1</td>\n","      <td>14.500000</td>\n","      <td>0.0</td>\n","      <td>3.1</td>\n","      <td>31.0</td>\n","      <td>0.25</td>\n","      <td>0.0</td>\n","      <td>13.200000</td>\n","      <td>91.0</td>\n","    </tr>\n","    <tr>\n","      <th>7146901</th>\n","      <td>54</td>\n","      <td>0</td>\n","      <td>37.520451</td>\n","      <td>127.104202</td>\n","      <td>37.520451</td>\n","      <td>127.104202</td>\n","      <td>0.0</td>\n","      <td>10</td>\n","      <td>3</td>\n","      <td>17</td>\n","      <td>10</td>\n","      <td>2</td>\n","      <td>10</td>\n","      <td>3</td>\n","      <td>17</td>\n","      <td>10</td>\n","      <td>2</td>\n","      <td>23.299999</td>\n","      <td>0.0</td>\n","      <td>1.7</td>\n","      <td>36.0</td>\n","      <td>0.95</td>\n","      <td>0.0</td>\n","      <td>25.299999</td>\n","      <td>19.0</td>\n","    </tr>\n","    <tr>\n","      <th>7417857</th>\n","      <td>97</td>\n","      <td>0</td>\n","      <td>37.523300</td>\n","      <td>127.038475</td>\n","      <td>37.523300</td>\n","      <td>127.038475</td>\n","      <td>0.0</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>29</td>\n","      <td>1</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>29</td>\n","      <td>1</td>\n","      <td>19.000000</td>\n","      <td>0.0</td>\n","      <td>1.4</td>\n","      <td>39.0</td>\n","      <td>0.89</td>\n","      <td>0.0</td>\n","      <td>19.600000</td>\n","      <td>28.0</td>\n","    </tr>\n","    <tr>\n","      <th>1105117</th>\n","      <td>42</td>\n","      <td>0</td>\n","      <td>37.483990</td>\n","      <td>127.034180</td>\n","      <td>37.483990</td>\n","      <td>127.034180</td>\n","      <td>0.0</td>\n","      <td>4</td>\n","      <td>17</td>\n","      <td>19</td>\n","      <td>7</td>\n","      <td>1</td>\n","      <td>4</td>\n","      <td>17</td>\n","      <td>19</td>\n","      <td>7</td>\n","      <td>1</td>\n","      <td>14.500000</td>\n","      <td>0.0</td>\n","      <td>3.1</td>\n","      <td>31.0</td>\n","      <td>0.25</td>\n","      <td>0.0</td>\n","      <td>13.200000</td>\n","      <td>91.0</td>\n","    </tr>\n","    <tr>\n","      <th>7410566</th>\n","      <td>31</td>\n","      <td>0</td>\n","      <td>37.573666</td>\n","      <td>127.030815</td>\n","      <td>37.573666</td>\n","      <td>127.030815</td>\n","      <td>0.0</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>22</td>\n","      <td>1</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>22</td>\n","      <td>1</td>\n","      <td>19.000000</td>\n","      <td>0.0</td>\n","      <td>1.4</td>\n","      <td>39.0</td>\n","      <td>0.89</td>\n","      <td>0.0</td>\n","      <td>19.600000</td>\n","      <td>28.0</td>\n","    </tr>\n","    <tr>\n","      <th>7410409</th>\n","      <td>65</td>\n","      <td>0</td>\n","      <td>37.526264</td>\n","      <td>126.920509</td>\n","      <td>37.526264</td>\n","      <td>126.920509</td>\n","      <td>0.0</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>18</td>\n","      <td>1</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>18</td>\n","      <td>1</td>\n","      <td>19.000000</td>\n","      <td>0.0</td>\n","      <td>1.4</td>\n","      <td>39.0</td>\n","      <td>0.89</td>\n","      <td>0.0</td>\n","      <td>19.600000</td>\n","      <td>28.0</td>\n","    </tr>\n","    <tr>\n","      <th>7417860</th>\n","      <td>97</td>\n","      <td>0</td>\n","      <td>37.523300</td>\n","      <td>127.038475</td>\n","      <td>37.523300</td>\n","      <td>127.038475</td>\n","      <td>0.0</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>29</td>\n","      <td>1</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>29</td>\n","      <td>1</td>\n","      <td>19.000000</td>\n","      <td>0.0</td>\n","      <td>1.4</td>\n","      <td>39.0</td>\n","      <td>0.89</td>\n","      <td>0.0</td>\n","      <td>19.600000</td>\n","      <td>28.0</td>\n","    </tr>\n","    <tr>\n","      <th>7410415</th>\n","      <td>65</td>\n","      <td>0</td>\n","      <td>37.526264</td>\n","      <td>126.920509</td>\n","      <td>37.526264</td>\n","      <td>126.920509</td>\n","      <td>0.0</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>18</td>\n","      <td>1</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>18</td>\n","      <td>1</td>\n","      <td>19.000000</td>\n","      <td>0.0</td>\n","      <td>1.4</td>\n","      <td>39.0</td>\n","      <td>0.89</td>\n","      <td>0.0</td>\n","      <td>19.600000</td>\n","      <td>28.0</td>\n","    </tr>\n","    <tr>\n","      <th>7410564</th>\n","      <td>31</td>\n","      <td>0</td>\n","      <td>37.573666</td>\n","      <td>127.030815</td>\n","      <td>37.573666</td>\n","      <td>127.030815</td>\n","      <td>0.0</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>22</td>\n","      <td>1</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>22</td>\n","      <td>1</td>\n","      <td>19.000000</td>\n","      <td>0.0</td>\n","      <td>1.4</td>\n","      <td>39.0</td>\n","      <td>0.89</td>\n","      <td>0.0</td>\n","      <td>19.600000</td>\n","      <td>28.0</td>\n","    </tr>\n","    <tr>\n","      <th>7146902</th>\n","      <td>54</td>\n","      <td>0</td>\n","      <td>37.520451</td>\n","      <td>127.104202</td>\n","      <td>37.520451</td>\n","      <td>127.104202</td>\n","      <td>0.0</td>\n","      <td>10</td>\n","      <td>3</td>\n","      <td>17</td>\n","      <td>10</td>\n","      <td>2</td>\n","      <td>10</td>\n","      <td>3</td>\n","      <td>17</td>\n","      <td>10</td>\n","      <td>2</td>\n","      <td>23.299999</td>\n","      <td>0.0</td>\n","      <td>1.7</td>\n","      <td>36.0</td>\n","      <td>0.95</td>\n","      <td>0.0</td>\n","      <td>25.299999</td>\n","      <td>19.0</td>\n","    </tr>\n","    <tr>\n","      <th>7410565</th>\n","      <td>31</td>\n","      <td>0</td>\n","      <td>37.573666</td>\n","      <td>127.030815</td>\n","      <td>37.573666</td>\n","      <td>127.030815</td>\n","      <td>0.0</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>22</td>\n","      <td>1</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>22</td>\n","      <td>1</td>\n","      <td>19.000000</td>\n","      <td>0.0</td>\n","      <td>1.4</td>\n","      <td>39.0</td>\n","      <td>0.89</td>\n","      <td>0.0</td>\n","      <td>19.600000</td>\n","      <td>28.0</td>\n","    </tr>\n","    <tr>\n","      <th>7146899</th>\n","      <td>54</td>\n","      <td>0</td>\n","      <td>37.520451</td>\n","      <td>127.104202</td>\n","      <td>37.520451</td>\n","      <td>127.104202</td>\n","      <td>0.0</td>\n","      <td>10</td>\n","      <td>3</td>\n","      <td>17</td>\n","      <td>10</td>\n","      <td>2</td>\n","      <td>10</td>\n","      <td>3</td>\n","      <td>17</td>\n","      <td>10</td>\n","      <td>2</td>\n","      <td>23.299999</td>\n","      <td>0.0</td>\n","      <td>1.7</td>\n","      <td>36.0</td>\n","      <td>0.95</td>\n","      <td>0.0</td>\n","      <td>25.299999</td>\n","      <td>19.0</td>\n","    </tr>\n","    <tr>\n","      <th>7417862</th>\n","      <td>97</td>\n","      <td>0</td>\n","      <td>37.523300</td>\n","      <td>127.038475</td>\n","      <td>37.523300</td>\n","      <td>127.038475</td>\n","      <td>0.0</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>29</td>\n","      <td>1</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>29</td>\n","      <td>1</td>\n","      <td>19.000000</td>\n","      <td>0.0</td>\n","      <td>1.4</td>\n","      <td>39.0</td>\n","      <td>0.89</td>\n","      <td>0.0</td>\n","      <td>19.600000</td>\n","      <td>28.0</td>\n","    </tr>\n","    <tr>\n","      <th>7410413</th>\n","      <td>65</td>\n","      <td>0</td>\n","      <td>37.526264</td>\n","      <td>126.920509</td>\n","      <td>37.526264</td>\n","      <td>126.920509</td>\n","      <td>0.0</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>18</td>\n","      <td>1</td>\n","      <td>10</td>\n","      <td>9</td>\n","      <td>16</td>\n","      <td>18</td>\n","      <td>1</td>\n","      <td>19.000000</td>\n","      <td>0.0</td>\n","      <td>1.4</td>\n","      <td>39.0</td>\n","      <td>0.89</td>\n","      <td>0.0</td>\n","      <td>19.600000</td>\n","      <td>28.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["         Duration  Distance      PLong       PLatd      DLong       DLatd  \\\n","1105115        42         0  37.483990  127.034180  37.483990  127.034180   \n","1105116        42         0  37.483990  127.034180  37.483990  127.034180   \n","7146901        54         0  37.520451  127.104202  37.520451  127.104202   \n","7417857        97         0  37.523300  127.038475  37.523300  127.038475   \n","1105117        42         0  37.483990  127.034180  37.483990  127.034180   \n","7410566        31         0  37.573666  127.030815  37.573666  127.030815   \n","7410409        65         0  37.526264  126.920509  37.526264  126.920509   \n","7417860        97         0  37.523300  127.038475  37.523300  127.038475   \n","7410415        65         0  37.526264  126.920509  37.526264  126.920509   \n","7410564        31         0  37.573666  127.030815  37.573666  127.030815   \n","7146902        54         0  37.520451  127.104202  37.520451  127.104202   \n","7410565        31         0  37.573666  127.030815  37.573666  127.030815   \n","7146899        54         0  37.520451  127.104202  37.520451  127.104202   \n","7417862        97         0  37.523300  127.038475  37.523300  127.038475   \n","7410413        65         0  37.526264  126.920509  37.526264  126.920509   \n","\n","         Haversine  Pmonth  Pday  Phour  Pmin  PDweek  Dmonth  Dday  Dhour  \\\n","1105115        0.0       4    17     19     7       1       4    17     19   \n","1105116        0.0       4    17     19     7       1       4    17     19   \n","7146901        0.0      10     3     17    10       2      10     3     17   \n","7417857        0.0      10     9     16    29       1      10     9     16   \n","1105117        0.0       4    17     19     7       1       4    17     19   \n","7410566        0.0      10     9     16    22       1      10     9     16   \n","7410409        0.0      10     9     16    18       1      10     9     16   \n","7417860        0.0      10     9     16    29       1      10     9     16   \n","7410415        0.0      10     9     16    18       1      10     9     16   \n","7410564        0.0      10     9     16    22       1      10     9     16   \n","7146902        0.0      10     3     17    10       2      10     3     17   \n","7410565        0.0      10     9     16    22       1      10     9     16   \n","7146899        0.0      10     3     17    10       2      10     3     17   \n","7417862        0.0      10     9     16    29       1      10     9     16   \n","7410413        0.0      10     9     16    18       1      10     9     16   \n","\n","         Dmin  DDweek       Temp  Precip  Wind  Humid  Solar  Snow  \\\n","1105115     7       1  14.500000     0.0   3.1   31.0   0.25   0.0   \n","1105116     7       1  14.500000     0.0   3.1   31.0   0.25   0.0   \n","7146901    10       2  23.299999     0.0   1.7   36.0   0.95   0.0   \n","7417857    29       1  19.000000     0.0   1.4   39.0   0.89   0.0   \n","1105117     7       1  14.500000     0.0   3.1   31.0   0.25   0.0   \n","7410566    22       1  19.000000     0.0   1.4   39.0   0.89   0.0   \n","7410409    18       1  19.000000     0.0   1.4   39.0   0.89   0.0   \n","7417860    29       1  19.000000     0.0   1.4   39.0   0.89   0.0   \n","7410415    18       1  19.000000     0.0   1.4   39.0   0.89   0.0   \n","7410564    22       1  19.000000     0.0   1.4   39.0   0.89   0.0   \n","7146902    10       2  23.299999     0.0   1.7   36.0   0.95   0.0   \n","7410565    22       1  19.000000     0.0   1.4   39.0   0.89   0.0   \n","7146899    10       2  23.299999     0.0   1.7   36.0   0.95   0.0   \n","7417862    29       1  19.000000     0.0   1.4   39.0   0.89   0.0   \n","7410413    18       1  19.000000     0.0   1.4   39.0   0.89   0.0   \n","\n","         GroundTemp  Dust  \n","1105115   13.200000  91.0  \n","1105116   13.200000  91.0  \n","7146901   25.299999  19.0  \n","7417857   19.600000  28.0  \n","1105117   13.200000  91.0  \n","7410566   19.600000  28.0  \n","7410409   19.600000  28.0  \n","7417860   19.600000  28.0  \n","7410415   19.600000  28.0  \n","7410564   19.600000  28.0  \n","7146902   25.299999  19.0  \n","7410565   19.600000  28.0  \n","7146899   25.299999  19.0  \n","7417862   19.600000  28.0  \n","7410413   19.600000  28.0  "]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["filtered_df = df.loc[(df['Distance'] == 0) &\n","                      (df['Haversine'] == 0) &\n","                      (df['Pmonth'] == df['Dmonth']) &\n","                      (df['Pday'] == df['Dday']) &\n","                      (df['Phour'] == df['Dhour']) &\n","                      (df['Pmin'] == df['Dmin']) &\n","                      (df['PDweek'] == df['DDweek'])]\n","\n","# Print the filtered DataFrame\n","filtered_df"]},{"cell_type":"code","execution_count":20,"id":"c1bc38db","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:05.831918Z","iopub.status.busy":"2023-10-26T18:14:05.831505Z","iopub.status.idle":"2023-10-26T18:14:05.838654Z","shell.execute_reply":"2023-10-26T18:14:05.837538Z"},"papermill":{"duration":0.037883,"end_time":"2023-10-26T18:14:05.840978","exception":false,"start_time":"2023-10-26T18:14:05.803095","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(15, 25)"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["filtered_df.shape"]},{"cell_type":"markdown","id":"5cd14b9e","metadata":{"papermill":{"duration":0.025875,"end_time":"2023-10-26T18:14:05.893343","exception":false,"start_time":"2023-10-26T18:14:05.867468","status":"completed"},"tags":[]},"source":["If both the Haversine distance and the actual distance are 0, then it is likely that the bicycle has not moved at all. This could be due to a number of reasons, such as:\n","\n","- The bicycle was parked for the entire duration of the trip.\n","- The bicycle was moved a very short distance, but not enough to register on the GPS device.\n","- There was an error in the GPS data.\n","\n","Removing these data points would be good for having better model performance"]},{"cell_type":"code","execution_count":21,"id":"90d2069d","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:05.948532Z","iopub.status.busy":"2023-10-26T18:14:05.947708Z","iopub.status.idle":"2023-10-26T18:14:08.318986Z","shell.execute_reply":"2023-10-26T18:14:08.317698Z"},"papermill":{"duration":2.401847,"end_time":"2023-10-26T18:14:08.321819","exception":false,"start_time":"2023-10-26T18:14:05.919972","status":"completed"},"tags":[]},"outputs":[],"source":["df = df.drop(filtered_df.index)"]},{"cell_type":"code","execution_count":22,"id":"5abac2ae","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:08.377568Z","iopub.status.busy":"2023-10-26T18:14:08.377121Z","iopub.status.idle":"2023-10-26T18:14:10.84672Z","shell.execute_reply":"2023-10-26T18:14:10.845487Z"},"papermill":{"duration":2.500877,"end_time":"2023-10-26T18:14:10.849862","exception":false,"start_time":"2023-10-26T18:14:08.348985","status":"completed"},"tags":[]},"outputs":[],"source":["filtered_df_H0 = df.loc[df['Haversine']==0]\n","df = df.drop(filtered_df_H0.index)"]},{"cell_type":"code","execution_count":23,"id":"853c18c6","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:10.905489Z","iopub.status.busy":"2023-10-26T18:14:10.905048Z","iopub.status.idle":"2023-10-26T18:14:10.912229Z","shell.execute_reply":"2023-10-26T18:14:10.910848Z"},"papermill":{"duration":0.038029,"end_time":"2023-10-26T18:14:10.914654","exception":false,"start_time":"2023-10-26T18:14:10.876625","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(8646056, 25)"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["df.shape"]},{"cell_type":"code","execution_count":24,"id":"a355d8bf","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:10.970265Z","iopub.status.busy":"2023-10-26T18:14:10.969521Z","iopub.status.idle":"2023-10-26T18:14:11.006697Z","shell.execute_reply":"2023-10-26T18:14:11.005787Z"},"papermill":{"duration":0.069174,"end_time":"2023-10-26T18:14:11.010622","exception":false,"start_time":"2023-10-26T18:14:10.941448","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(0, 25)"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["filtered_df1 = df.loc[(df['Distance'] == 0) & (df['Haversine'] == 0)]\n","filtered_df1.shape"]},{"cell_type":"code","execution_count":25,"id":"736795e2","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:11.068447Z","iopub.status.busy":"2023-10-26T18:14:11.068007Z","iopub.status.idle":"2023-10-26T18:14:19.512289Z","shell.execute_reply":"2023-10-26T18:14:19.511017Z"},"papermill":{"duration":8.475649,"end_time":"2023-10-26T18:14:19.515063","exception":false,"start_time":"2023-10-26T18:14:11.039414","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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ALNQKOTcc8/Nvffem+nTp6d///6bfM3cuXOTJL169WrqcgAAAAAAWpUNrWy3vhEjRmTEiBHF7ZEjR2bQoEG56aabcvnllzfob6IIbLnKysriX9cJNNRc10WTB5hnn312pk2blh//+Mfp1KlTFi1alCTp0qVLtt1228yfPz/Tpk3LEUcckW7duuXpp5/O+eefnw9+8IMZMmRIU5cDAAAAANBqbMnKduurqqrK0KFD8+KLLzZTdQDQMto19QGnTJmSpUuXZvTo0enVq1fx8YMf/CBJ0r59+/zyl7/MmDFjMnDgwFxwwQU57rjj8j//8z9NXQoAAAAAQKtQKBRyzjnn5N57782vfvWrzVrZbn2rV6/OM888Y6U7AFq9ZllCdmP69OmTRx55pKlPC/z/zj///EyePLm4fd555+Xaa68tXUEAAAAAbNKmVrZLkpNPPjm77LJLJk2alCS57LLLctBBB2WPPfbIkiVL8o1vfCOvvPJKzjjjjJK9DwBoCk0eYAKlU1FR0aBt8uTJmTx58iZ/XAAAAABA6UyZMiVJMnr06Hrtt956a0499dQkyYIFC9Ku3f8tqvePf/wjZ555ZhYtWpQddtghw4YNy+OPP5699tqrpcoGgGYhwIQ2Yv3wsrq6OrW1tfX2CzEBAAAAytPmfG8zffr0etvXXnutlbcAaJOa/B6YQMs7//zzi8+vueaaFAqFrFy5MoVCIddcc02j/QAAAAAAAMqRABPagHXveTl+/Ph6+9bdXrcfAAAAAABAORJgQhtSXV3daHtlpdWioTW49NJLU1FRUe8xcODAUpcFAAAAANCipBrQhqx7z8t1rVq1qoUrAd6twYMH55e//GVx2w8QAAAAAICtjW9FoQ0477zzisvDfvOb36y3bOw3v/nNev2A8lZZWZmePXtudv/a2tp6P16oqalJktTV1aWurq7J64O2zDUD73AtAAAAUGoCTGgDrr322mKAecEFF+SCCy5IZWVlg5mX1157bQmqA7bECy+8kN69e6dDhw4ZMWJEJk2alL59+26w/6RJkzJx4sQG7Q8++GA6duzYnKVCm3P//feXugQoCytWrCh1CQAAAGzlBJjQRhQKhVRUVBS31w8vC4VCS5cEbKHhw4dn6tSpGTBgQBYuXJiJEyfmAx/4QJ599tl06tSp0ddMmDCh3qzrmpqa9OnTJ2PGjEnnzp1bqnRoE4444ohSlwBlYe1sfgAAACgVASa0IYVCIeeff35xNmbyzrKxZl5C6zBu3Lji8yFDhmT48OHp169ffvjDH+b0009v9DXV1dWprq5u0F5VVZWqqqpmqxXaItcMvMO1AAAAQKkJMKGNufbaawWW0EZ07do173vf+/Liiy+WuhQAAAAAgBbTrtQFAACNW7ZsWebPn59evXqVuhQAAAAAgBYjwASAMvH5z38+jzzySF5++eU8/vjj+djHPpZtttkmn/zkJ0tdGgAAAABAi7GELACUib/85S/55Cc/mTfeeCM777xzRo0alVmzZmXnnXcudWkAAAAAAC1GgAkAZeKuu+4qdQkAAAAAACVnCVkAAAAAAACgbAgwAQAAAAAAgLJhCVkAAACAMrJgwYK8/vrrLXrO5557rt7flrTTTjulb9++LX5eAADKlwATAAAAoEwsWLAgAwcNzFsr3irJ+U866aQWP+e2HbfNvOfmCTEBACgSYAIAAACUiddffz1vrXgrR992RLoN7NZi5121clWWvLw0XXfrksoOLfd10Rvz3siPT7k/r7/+ugATAIAiASYAAG1WoVBIRUXFZvUDgHLSbWC39NqvR4ues8/IXVr0fAAAsCHtSl0AAAA0l80JL7ekHwAAAADNT4AJAAAAAAAAlA0BJgAAAAAAAFA2BJgAAAAAAABA2agsdQFA02rsHl6FQqEElQAAAAAAAGw5MzChDWksvNxYOwAAAAAAQLkRYEIbsamQUogJAAAAAAC0BgJMaAPWDycLhULxsbF+AAAAAAAA5UaACW3M+qGl+18CAAAAAACtiQATAAAAAAAAKBsCTGhjZsyYkYqKiuJjxowZpS4JAAAAAABgswkwoY35wAc+sNFtAAAAAACAcibAhDZgc+9z6X6YAAAAAABAuRNgQhuwucvEWk4WAAAAAAAodwJMaAM2d5lYy8kCAAAAAADlToAJbciJJ56YQqHQ4HHccceVujQAAAAAAIDNIsCENuTOO+9stP2///u/W7gSAAAAAACAd0eACW3Ab37zm+LzefPm1du37va6/QAAAAAAAMqRABPagFGjRhWfDxo0KBUVFfn4xz+eioqKDBo0qNF+ALC1aWyZdQAAAADKjwAT2oj1v4Rdf9lYX9ICsLWrqKjY6DYAAAAA5UGACW1IoVBosEzsb37zG+ElAFut9cfAioqK4mNj/QAAAAAoncpSFwA0rVGjRvkSFoA2bcWKFQ3u+bwxs2fPzrBhwza6/3e/+91mH2/gwIHp2LHjZvcHAAAAYMs0eYA5adKk3HPPPZk3b1623XbbjBw5MldddVUGDBhQ7LNy5cpccMEFueuuu1JbW5uxY8fmO9/5Tnr06NHU5QAA0MbMmzdvo4HkltrSY82ePTv77bdfk50fAAAAgPqaPMB85JFHcvbZZ+eAAw7IqlWrcvHFF2fMmDH54x//mO222y5Jcv755+dnP/tZ7r777nTp0iXnnHNOjj322Dz22GNNXQ4AAG3MwIEDM3v27Hf12ueeey4nnXRS7rjjjgwaNOhdnx9oWn/9619z0UUX5ec//3lWrFiRPfbYI7feemv233//JO8s8/yVr3wl3/3ud7NkyZIcfPDBmTJlSvbcc88SVw4ATWdzJoY05u67786Xv/zlvPzyy9lzzz1z1VVX5YgjjmihqgGgeTR5gPnAAw/U2546dWq6d++e2bNn54Mf/GCWLl2aW265JdOmTcuHP/zhJMmtt96aQYMGZdasWTnooIMaHLO2tja1tbXF7ZqamiRJXV1d6urqmvotALAVMH5A69WxY8f3PANy0KBBZlFCmfjHP/6Rgw8+OIccckh+/vOfZ+edd84LL7yQHXbYodjn61//er71rW/ltttuS//+/fPlL385Y8eOzR//+Md06NChhNUDQNPZnIkh63v88cfzyU9+MpMmTcpHP/rRTJs2Lcccc0x+97vfZe+9927hdwAATafZ74G5dOnSJMmOO+6Y5J0lt+rq6nLYYYcV+wwcODB9+/bNzJkzGw0wJ02alIkTJzZof/DBB91/CIB3ZcWKFaUuAQBIctVVV6VPnz659dZbi239+/cvPi8UCpk8eXK+9KUv5eijj06S3H777enRo0fuu+++nHDCCS1eMwA0h01NDGnMddddl8MPPzxf+MIXkiSXX355HnrooVx//fW58cYbm71mAGguzRpgrlmzJuedd14OPvjg4i9+Fi1alPbt26dr1671+vbo0SOLFi1q9DgTJkzI+PHji9s1NTXp06dPxowZk86dOzdb/QC0XWtn8wMApfWTn/wkY8eOzfHHH59HHnkku+yyS/793/89Z555ZpLkpZdeyqJFi+r9CLZLly4ZPnx4Zs6cucEA00o+tFarVq0qdQklsWrVKtcmZa0U/z7XnxjSmJkzZ9b73jRJxo4dm/vuu6/R/sZH2HJrx2ZjFTSuua6LZg0wzz777Dz77LOZMWPGezpOdXV1qqurG7RXVVWlqqrqPR0bgK2T8QMAysP//u//ZsqUKRk/fnwuvvjiPPXUU/nsZz+b9u3b55RTTin+0LVHjx71XrexH8EmVvKh9Zo/f36pSyiJGTNmZOHChaUuAzaopVfxaWxiSGMWLVq0RWOk8RG23Nqx2VgFjWuuMbLZAsxzzjknP/3pT/Poo49m1113Lbb37Nkzb7/9dpYsWVJvFubixYvTs2fP5ioHAACAMrRmzZrsv//++drXvpYkGTp0aJ599tnceOONOeWUU971ca3kQ2s1Z86cUpdQEqNGjcrQoUNLXQZsUEuv4tNUE0PWZ3yELbd2bDZWQeOaa4xs8gCzUCjk3HPPzb333pvp06fXu3dJkgwbNixVVVV5+OGHc9xxxyVJnn/++SxYsCAjRoxo6nIAAAAoY7169cpee+1Vr23QoEH57//+7yQp/tB18eLF6dWrV7HP4sWL8/73v3+Dx7WSD61VZWWzLpZVtiorK12blLWW/Pe5oYkhjenZs2cWL15cr21jE0WMj7Dl1o7NxipoXHNdF+2a+oBnn3127rjjjkybNi2dOnXKokWLsmjRorz11ltJ3rlXyemnn57x48fn17/+dWbPnp3TTjstI0aMyEEHHdTU5QAAAFDGDj744Dz//PP12v70pz+lX79+SZL+/funZ8+eefjhh4v7a2pq8sQTT/gRLABtSqFQyDnnnJN77703v/rVrxpMDGnMiBEj6o2RSfLQQw8ZIwFo9Zo8wJwyZUqWLl2a0aNHp1evXsXHD37wg2Kfa6+9Nh/96Edz3HHH5YMf/GB69uyZe+65p6lLga3SF7/4xVRUVBQfX/ziF0tdEgAAbND555+fWbNm5Wtf+1pefPHFTJs2LTfffHPOPvvsJElFRUXOO++8fPWrX81PfvKTPPPMMzn55JPTu3fvHHPMMaUtHgCa0KYmhiTJySefnAkTJhS3P/e5z+WBBx7INddck3nz5uXSSy/Nb3/725xzzjmleAsA0GSaZQnZTenQoUNuuOGG3HDDDU19etiqVVRUNGj72te+lq997WubdW0CAEBLO+CAA3LvvfdmwoQJueyyy9K/f/9Mnjw5J554YrHPhRdemOXLl+ess87KkiVLMmrUqDzwwAPp0KFDCSsHgKY1ZcqUJMno0aPrtd9666059dRTkyQLFixIu3b/Nydl5MiRmTZtWr70pS/l4osvzp577pn77rsve++9d0uVDQDNYuu8sQK0QeuHl9tvv32WLVtWb78QEwCAcvTRj340H/3oRze4v6KiIpdddlkuu+yyFqwKAFrW5nxvM3369AZtxx9/fI4//vhmqAgASqfJl5AFWt66y8ROmTIlhUIhb775ZgqFQvHXe+v3A8rflVdeWVw2DwAAAABgayHAhDbga1/7WvH5v/7rv9bbt+72uv2A8vbUU0/lpptuypAhQ0pdCgAAAABAi7KELLQh22+/faPt2267bb0bvgPlbdmyZTnxxBPz3e9+N1/96lc32re2tja1tbXF7ZqamiRJXV1d6urqmrVOaI1WrVpV/Osagca5NgAAACg1ASa0IcuWLctuu+2WV155pdjWr18/4SW0MmeffXaOPPLIHHbYYZsMMCdNmpSJEyc2aH/wwQfTsWPH5ioRWq358+cnSWbMmJGFCxeWuBooTytWrCh1CQAAAGzlBJjQBlx88cXF5WHXDS/X37744otbtC5gy91111353e9+l6eeemqz+k+YMCHjx48vbtfU1KRPnz4ZM2ZMOnfu3FxlQqs1Z86cJMmoUaMydOjQElcD5WntbH4AAAAoFQEmtAFXXHHFZt3f8oorrmiBaoB3689//nM+97nP5aGHHkqHDh026zXV1dWprq5u0F5VVZWqqqqmLhFavcrKyuJf1wg0zrUBAABAqbUrdQHAe7fbbrs1aT+gNGbPnp3XXnst++23XyorK1NZWZlHHnkk3/rWt1JZWZnVq1eXukQAAAAAgGYnwIQ2YGPLxK67vf7yskB5OfTQQ/PMM89k7ty5xcf++++fE088MXPnzs0222xT6hIBAAAAAJqdJWShjVl/KdnNWVoWKA+dOnXK3nvvXa9tu+22S7du3Rq0AwAAAAC0VWZgAgAAAAAAAGXDDExoA/r167dZy8P269evBaoBmtL06dNLXQIAAAAAQIsyAxPagM29t6V7YAIAAAAAAOVOgAkAAAAAAACUDQEmtDHrLxNr2VgAAAAAAKA1cQ9MaGNefvnlBm0VFRUtXwgAAAAAAMC7YAYmtDHrh5XCSwAAAAAAoDUxAxPagEKhUC+o3FBoWSgUWqokAAAAAACAd8UMTGgjNhVOCi8BAAAAAIDWQIAJbciGQkrhJQAAAAAA0FoIMKGNueeeeza6DQAAAAAAUM7cAxPakMbufXnssccmMQsTAAAAAABoHczAhDZi/fDyAx/4wEb3AwAAAAAAlCMzMKENuPfee4vPn3jiiRx44IHF7SeffDLDhw8v9vvYxz7W4vUBAACweSpWrczQnu3Sd+mS7LRwm1KX0+yqli7J0J7tUrFqZalLAQCgjAgwoQ1Yu0xsknrh5frbxx57rKVkAQAAyliHZQvyu89snzz2SPJYqatpGV/5zPZ5btmCJCNLXQoAAGVCgAltyPrLxq41fPjwPPHEEy1cDQAAAFtq5fZ9s99Ny3L07Udmp4HdSl1Os3t93hv58ck/yy1H9C11KQAAlBEBJrQhv/nNbxptF14CAAC0DoXKDpmzaE2Gdumaul47lbqcZrdw4erMWbQmhcoOpS4FAIAy0q7UBQDv3T333FN8/uSTT9bbt+72uv0AAAAAAADKkRmY0AZ87GMfKz4fPnx48e/6My/X7QcAAAAAAFCOzMCENqJQKNTbXj+8XH8/AAAAAABAORJgQhtSKBTy/e9/v17b97//feElAAAAAADQaggwoQ3p2rVrPv3pT9dr+/SnP52uXbuWpiAAAAAAAIAtJMCENqJr165ZunRpkmTw4MH56U9/msGDBydJli5dKsQEAAAAAABahcpSFwC8d3/729+K4eXSpUvTuXPnJMmRRx6ZmpqadOnSJUuXLs3f/va37LzzzqUsFQAAAAAAYKPMwIQ24MADD0zyzszLteHlWp07d86gQYPq9QMAAAAAAChXAkxoA/72t78lSa666qpG919xxRX1+gEAAAAAAJQrASa0AWuXhb3ooovy/PPPp7KyMhUVFamsrMzzzz+fL37xi/X6AQAAAAAAlCv3wIQ24Mknn0z37t3zhz/8IQMHDiy2r169ut72k08+WYryAAAAAAAANpsZmNAGNDaz8oQTTtisfgAAAAAAAOVEgAltwPPPP9+g7a677tqsfgAAAAAAAOVEgAltwODBg5Mk1dXVee2117Lbbrtlu+22y2677ZbXXnst1dXV9foBAAAAAACUKwEmtAGrV69Oknz5y1/OzjvvnJdeeinLli3LSy+9lJ133jkXXnhhvX4AAAAAAADlSoAJbcA222yTJLn88ssb3f/1r3+9Xj8AAAAAAIBy1eQB5qOPPpqjjjoqvXv3TkVFRe677756+0899dRUVFTUexx++OFNXQZsVf7whz8kSWpra/Pqq6/W2/fqq6+mtra2Xj8AAAAAAIBy1eQB5vLly7Pvvvvmhhtu2GCfww8/PAsXLiw+/uu//qupy4CtyoABA4rPd9lll3To0CGXXHJJOnTokF122aXRfgAAAACUj01NDFnf9OnTG0wUqaioyKJFi1qmYABoRpVNfcBx48Zl3LhxG+1TXV2dnj17bvYxa2trizPIkqSmpiZJUldXl7q6undXKLQxb7/9dtq3b5/knWtm/eVk3377bdcLrMP1AAAAQDlZOzHk05/+dI499tjNft3zzz+fzp07F7e7d+/eHOUBQItq8gBzc0yfPj3du3fPDjvskA9/+MP56le/mm7dum2w/6RJkzJx4sQG7Q8++GA6duzYnKVCq3Lffffl8ccfL97zMkkuvPDCjBw5Mvfff38JK4Pys2LFilKXAAAAAEWbMzGkMd27d0/Xrl03q6+JIrDlVq1aVfzrOoGGmuu6aPEA8/DDD8+xxx6b/v37Z/78+bn44oszbty4zJw5M9tss02jr5kwYULGjx9f3K6pqUmfPn0yZsyYer8ugq3d2hmY61obZr799tstXQ6UtbUf0gAAAKA1e//735/a2trsvffeufTSS3PwwQdvsK+JIrDl5s+fnySZMWNGFi5cWOJqoPw010SRFg8wTzjhhOLzffbZJ0OGDMnuu++e6dOn59BDD230NdXV1amurm7QXlVVlaqqqmarFVqTioqK4vNtttkmn//853P11Vdn9erVSd4JNwuFQqnKg7Jj/AAAAKA169WrV2688cbsv//+qa2tzfe+972MHj06TzzxRPbbb79GX2OiCGy5OXPmJElGjRqVoUOHlrgaKD/NNVGkJEvIruuf/umfstNOO+XFF1/cYIAJbNwzzzxTfP7KK6+kb9++SZIrr7wyCxYsSL9+/Yr99tlnn5LUCAAAAEDTGTBgQAYMGFDcHjlyZObPn59rr702//mf/9noa0wUgS1XWVlZ/Os6gYaa67po1yxH3QJ/+ctf8sYbb6RXr16lLgVarX333TfJOzMv14aXa/Xt27e4PPPafgAAAAC0PQceeGBefPHFUpcBAO9ZkweYy5Yty9y5czN37twkyUsvvZS5c+dmwYIFWbZsWb7whS9k1qxZefnll/Pwww/n6KOPzh577JGxY8c2dSmw1Vi7NOznP//5Rvefc8459foB5WnKlCkZMmRIOnfunM6dO2fEiBH5+c9/XuqyAAAAaCXmzp1roggAbUKTLyH729/+Noccckhxe+2a6qecckqmTJmSp59+OrfddluWLFmS3r17Z8yYMbn88ssbXboA2DwVFRUpFAq5+uqrc+WVVzbYf/311xf7AeVr1113zZVXXpk999wzhUIht912W44++ujMmTMngwcPLnV5AAAANKNly5bVmz25dmLIjjvumL59+2bChAn561//mttvvz1JMnny5PTv3z+DBw/OypUr873vfS+/+tWv8uCDD5bqLQBAk2nyAHP06NEbneX1i1/8oqlPCVu93//+9xkyZEhWr16dBQsW1FtGdsGCBVm9enWxH1C+jjrqqHrbV1xxRaZMmZJZs2YJMAEAANq4jU0MmTp1ahYuXJgFCxYU97/99tu54IIL8te//jUdO3bMkCFD8stf/rLeMQCgtWryABNoefvss0/xeb9+/bLNNtvknHPOyfXXX18ML9fvB5S31atX5+67787y5cszYsSIDfarra1NbW1tcbumpiZJUldXl7q6umavE1qbVatWFf+6RqBxrg0AKI1NTQyZOnVqve0LL7wwF154YTNXBQClIcCENqJQKBSXiF29enWuu+66BvuB8vfMM89kxIgRWblyZbbffvvce++92WuvvTbYf9KkSZk4cWKD9gcffDAdO3ZszlKhVZo/f36SZMaMGVm4cGGJq4HytGLFilKXAAAAwFZOgAltSKFQyDPPPJN99923GGj+/ve/N/MSWpEBAwZk7ty5Wbp0aX70ox/llFNOySOPPLLBEHPChAnFZYWSd2Zg9unTJ2PGjEnnzp1bqmxoNebMmZMkGTVqVIYOHVriaqA8rZ3NDwAAAKUiwIQ2ZsiQIcXnhUIhQ4YMMfsSWpH27dtnjz32SJIMGzYsTz31VK677rrcdNNNjfavrq5OdXV1g/aqqqpUVVU1a63QGlVWVhb/ukagca4NAAAASq1dqQsAms7aJWQ3tx0of2vWrKl3j0sAAAAAgLbODExoIzYVUlZUVJiJCWVuwoQJGTduXPr27Zs333wz06ZNy/Tp0/OLX/yi1KUBAAAAALQYASa0AeuHl+sGlevuE2JCeXvttddy8sknZ+HChenSpUuGDBmSX/ziF/nIRz5S6tIAAAAAAFqMABPamPUDykKhYAlZaCVuueWWUpcAAAAAAFBy7oEJAAAAAAAAlA0zMKGNMdsSAAAAAABozczABAAAAAAAAMqGABPagPXve/le+wEAAAAAAJSKABPagM1dNtbysgAAAAAAQLkTYAIAAAAAAABlQ4AJbczTTz9dnGlZUVGRp59+usQVAQAAAAAAbL7KUhcANK0hQ4YUnxcKhXrbAAAAAAAA5c4MTGiDttlmm1x00UXZZpttSl0KAAAAAADAFhFgQhuw/jKxq1evzlVXXZXVq1dvtB8AAAAAAEC5EWBCG7Dvvvs2aT8AAAAAAIBSEWBCG1AoFJIkF110UaP7P/e5z9XrBwAAAAAAUK4qS10A8N5VVFSkUCjkqquuanT/ddddV+wHAABA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size 1850x1400 with 12 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["num_vars = ['Duration', 'Distance', 'Haversine','Temp','Precip', 'Wind', 'Humid', 'Solar', 'Snow','GroundTemp', 'Dust'] \n","\n","fig, axes = plt.subplots(nrows=3,ncols=4) # create figure and axes\n","\n","axes = axes.flatten() # Flatten the axes array for easy iteration\n","\n","for i,col in enumerate(num_vars):\n","    ax = axes[i]\n","    box = ax.boxplot(df[col], patch_artist=True)\n","    box['boxes'][0].set_facecolor('#7BFB74')\n","    ax.set_xticklabels([])\n","    ax.set_title(col)\n","    ax.yaxis.grid(True)\n","\n","fig.set_size_inches(18.5,14)\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"code","execution_count":26,"id":"d7be0929","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:19.575831Z","iopub.status.busy":"2023-10-26T18:14:19.575437Z","iopub.status.idle":"2023-10-26T18:14:35.982761Z","shell.execute_reply":"2023-10-26T18:14:35.981392Z"},"papermill":{"duration":16.44134,"end_time":"2023-10-26T18:14:35.98557","exception":false,"start_time":"2023-10-26T18:14:19.54423","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig, ax = plt.subplots(figsize=(12, 6))\n","sns.boxplot(\n","    data=df.select_dtypes(include=[np.number]),\n","    ax=ax\n",")\n","plt.xticks(rotation=45)\n","plt.show()"]},{"cell_type":"code","execution_count":27,"id":"a899999f","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:36.048735Z","iopub.status.busy":"2023-10-26T18:14:36.048327Z","iopub.status.idle":"2023-10-26T18:14:36.570352Z","shell.execute_reply":"2023-10-26T18:14:36.569147Z"},"papermill":{"duration":0.556998,"end_time":"2023-10-26T18:14:36.573038","exception":false,"start_time":"2023-10-26T18:14:36.01604","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Total pick ups every months in a year\n","pivot_table1 = df.pivot_table(index='Pmonth', aggfunc={'Pmonth': 'count'})\n","\n","month_map ={1:'Jan', 2:'Feb', 3:'Mar', 4:'Apr', 5:'May', 6:'Jun', 7:'Jul', 8:'Aug', 9:'Sep', 10:'Oct', 11:'Nov', 12:'Dec'}\n","pivot_table1.index = pivot_table1.index.map(month_map)\n","\n","# Get the pick-up months and trip counts\n","pick_up_months = pivot_table1.index.to_numpy()\n","trips_count = pivot_table1['Pmonth'].to_numpy()\n","\n","plt.figure(figsize=(10,6))\n","sns.barplot(x=pick_up_months,y=trips_count)\n","plt.xlabel(\"Months\")\n","plt.ylabel(\"Counts\")\n","plt.title(\"Total pick ups every months in a year\")\n","plt.show()"]},{"cell_type":"code","execution_count":28,"id":"55aab511","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:36.634099Z","iopub.status.busy":"2023-10-26T18:14:36.633684Z","iopub.status.idle":"2023-10-26T18:14:37.168908Z","shell.execute_reply":"2023-10-26T18:14:37.167714Z"},"papermill":{"duration":0.568446,"end_time":"2023-10-26T18:14:37.171255","exception":false,"start_time":"2023-10-26T18:14:36.602809","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Calculate average trip duration by month\n","df_avg_duration_by_month = df.groupby(['Pmonth'])['Duration'].mean()\n","\n","# Plot average trip duration by month\n","plt.figure(figsize=(10, 6))\n","plt.plot(df_avg_duration_by_month.index, df_avg_duration_by_month.values,'b-o')\n","plt.xlabel('Month')\n","plt.xticks(range(len(df_avg_duration_by_month.index)+1))\n","plt.ylabel('Average Trip Duration')\n","plt.title('Average Trip Duration by Month')\n","plt.show()"]},{"cell_type":"code","execution_count":29,"id":"80610ed5","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:37.23389Z","iopub.status.busy":"2023-10-26T18:14:37.233508Z","iopub.status.idle":"2023-10-26T18:14:37.899313Z","shell.execute_reply":"2023-10-26T18:14:37.898358Z"},"papermill":{"duration":0.700429,"end_time":"2023-10-26T18:14:37.902057","exception":false,"start_time":"2023-10-26T18:14:37.201628","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA1YAAAIjCAYAAAAAxIqtAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAADheElEQVR4nOzdd3iUZfY38O8zk957I4HQBKTZWLAAQVhAXAEjomJj9aesCwqsrorr2l3UtYDuCrqvYgFESkBlBRchYOyI0iT0hIRAeu/JzPP+Md4PM2SSTH+mfD/XlUuZmcyckJCZM+fc50iyLMsgIiIiIiIim2nUDoCIiIiIiMjTMbEiIiIiIiKyExMrIiIiIiIiOzGxIiIiIiIishMTKyIiIiIiIjsxsSIiIiIiIrITEysiIiIiIiI7MbEiIiIiIiKyExMrIiIiIiIiOzGxIiLyYTt37oQkSdi5c6faobgFSZLw1FNPufxxZ8+ejbCwMJc/rif68MMPMXDgQPj7+yMqKkrtcOySn58PSZLw8ssvqx0KETkAEysi8hhvvvkmJEnCyJEj1Q7FbTz11FOQJKnbj4yMDJfFlJ6erjyuRqNBVFQUhg4dinvvvRc//PCDy+LozOeff65K8uQO3P17053Dhw9j9uzZ6Nu3L/7zn//g7bff7vS24t+GRqNBYWFhh+tra2sRHBwMSZIwb948Z4bt0z9zRL7ET+0AiIgstWrVKqSnp+PHH3/E8ePH0a9fP7VDUl1mZqbJ30N9fT3uu+8+XH/99cjMzFQuT0xMNPv5Y8aMQVNTEwICAhwa10UXXYQHH3wQAFBXV4fc3FysW7cO//nPf7Bw4UK8+uqrDn08a3z++ef497//bfaFblNTE/z8vPup0Z2/N93ZuXMn9Ho9li5davG//8DAQHz00Ud4+OGHTS7PyspyRohmdfUzR0Tew7ufPYjIa+Tl5eHbb79FVlYW5syZg1WrVuHJJ590aQx6vR6tra0ICgpy6eN2ZdiwYRg2bJjy5/Lyctx3330YNmwYbrvttk4/r7m5GQEBAdBoNE75enr06NHh8V988UXMmjULr732Gvr374/77rvPIY/V0NCA0NBQh9yXO31vncWV3xtHKy0tBQCrWgCnTJliNrFavXo1rr32WmzYsMGRIRKRD2MrIBF5hFWrViE6OhrXXnstZsyYgVWrVinXtbW1ISYmBn/84x87fF5tbS2CgoLw0EMPKZe1tLTgySefRL9+/RAYGIi0tDQ8/PDDaGlpMflc0SK0atUqDB48GIGBgdi6dSsA4OWXX8YVV1yB2NhYBAcH49JLL8X69es7PH5TUxMeeOABxMXFITw8HFOnTkVRUZHZszxFRUW46667kJiYiMDAQAwePBjvvvuuPX9tAM6do1qzZg0ef/xx9OjRAyEhIaitrTV7xiojIwNDhgzBnj17cMUVVyA4OBi9e/fG8uXL7YojODgYH374IWJiYvD8889DlmWT+M4/5yXOn7z33nvKZeIs0okTJzBlyhSEh4fj1ltvBQDk5OTgxhtvRM+ePZXv68KFC9HU1GTy+f/+978BwKRVUjD3ffnll19wzTXXICIiAmFhYRg/fjy+//57k9u89957kCQJ33zzDf7yl78gPj4eoaGhuP7661FWVmbx39HJkycxadIkhIaGIiUlBc8884zy9yTLMtLT0zFt2rQOn9fc3IzIyEjMmTPH4scy1tn3BrDsZ33s2LEYPny42fseMGAAJk2a1G0Mb775pvLvLCUlBXPnzkV1dbVyfXp6uvJmSnx8vMXn4WbNmoW9e/fi8OHDymXFxcXYsWMHZs2aZfZzSktLcffddyMxMRFBQUEYPnw43n//fZPbGJ+Pevvtt9G3b18EBgZixIgR2L17t3K77n7mhK7ug4g8AytWROQRVq1ahczMTAQEBOCWW27BsmXLsHv3bowYMQL+/v64/vrrkZWVhbfeesukrW3Tpk1oaWnBzTffDMBQdZo6dSq+/vpr3HvvvRg0aBAOHDiA1157DUePHsWmTZtMHnfHjh1Yu3Yt5s2bh7i4OKSnpwMAli5diqlTp+LWW29Fa2sr1qxZgxtvvBGbN2/Gtddeq3z+7NmzsXbtWtx+++0YNWoUdu3aZXK9UFJSglGjRinJXHx8PLZs2YK7774btbW1WLBggd1/h88++ywCAgLw0EMPoaWlpcv2v6qqKkyZMgUzZ87ELbfcgrVr1+K+++5DQEAA7rrrLptjCAsLw/XXX4933nkHhw4dwuDBg62+j/b2dkyaNAlXXXUVXn75ZYSEhAAA1q1bh8bGRtx3332IjY3Fjz/+iDfeeAOnT5/GunXrAABz5szBmTNnsG3bNnz44YfdPtavv/6K0aNHIyIiAg8//DD8/f3x1ltvISMjA7t27epw3u/+++9HdHQ0nnzySeTn52PJkiWYN28ePv74424fS6fTYfLkyRg1ahReeuklbN26FU8++STa29vxzDPPQJIk3HbbbXjppZdQWVmJmJgY5XM/++wz1NbWdlml7E5n3xtLftZvv/123HPPPTh48CCGDBmi3Ofu3btx9OhRPP74410+9lNPPYWnn34aEyZMwH333YcjR44o/8a/+eYb+Pv7Y8mSJfjggw+wceNGLFu2DGFhYSbV2s6MGTMGqampWL16NZ555hkAwMcff4ywsDCz/xabmpqQkZGB48ePY968eejduzfWrVuH2bNno7q6GvPnzze5/erVq1FXV4c5c+ZAkiS89NJLyMzMxMmTJ+Hv72/Rz1x390FEHkImInJzP/30kwxA3rZtmyzLsqzX6+XU1FR5/vz5ym2++OILGYD82WefmXzulClT5D59+ih//vDDD2WNRiPn5OSY3G758uUyAPmbb75RLgMgazQa+ddff+0QU2Njo8mfW1tb5SFDhshXX321ctmePXtkAPKCBQtMbjt79mwZgPzkk08ql919991ycnKyXF5ebnLbm2++WY6MjOzweJ0pKyvrcN/Z2dkyALlPnz4d7kdcl52drVw2duxYGYD8yiuvKJe1tLTIF110kZyQkCC3trZ2GUOvXr3ka6+9ttPrX3vtNRmA/Mknn3QagyzLcl5engxAXrFihXLZnXfeKQOQH3300Q73a+7vaPHixbIkSfKpU6eUy+bOnSt39vR3/t/d9OnT5YCAAPnEiRPKZWfOnJHDw8PlMWPGKJetWLFCBiBPmDBB1uv1yuULFy6UtVqtXF1dbf4v47yv6/7771cu0+v18rXXXisHBATIZWVlsizL8pEjR2QA8rJly0w+f+rUqXJ6errJY5tj7fdGli37Wa+urpaDgoLkRx55xOS2DzzwgBwaGirX19d3+pilpaVyQECAPHHiRFmn0ymX/+tf/5IByO+++65y2ZNPPikDUP4+umJ824ceekju16+fct2IESPkP/7xj7IsG77nc+fOVa5bsmSJDEBeuXKlydd8+eWXy2FhYXJtba0sy+d+PmNjY+XKykrltp988kmH30Wd/cxZcx9E5P7YCkhEbm/VqlVITEzEuHHjABjaaW666SasWbMGOp0OAHD11VcjLi7OpDJQVVWFbdu24aabblIuW7duHQYNGoSBAweivLxc+bj66qsBANnZ2SaPPXbsWFx44YUdYgoODjZ5nJqaGowePRo///yzcrloG/zzn/9s8rn333+/yZ9lWcaGDRtw3XXXQZZlk7gmTZqEmpoak/u11Z133mkSd1f8/PxM2soCAgIwZ84clJaWYs+ePXbFIcaK19XV2Xwf5s4AGX9tDQ0NKC8vxxVXXAFZlvHLL79Y/Rg6nQ7/+9//MH36dPTp00e5PDk5GbNmzcLXX3+N2tpak8+59957Tdq8Ro8eDZ1Oh1OnTln0mMbT6UT1srW1FV9++SUA4IILLsDIkSNNWmErKyuxZcsW3HrrrWZbzKxh7ntjyc96ZGQkpk2bho8++khpI9TpdPj4448xffr0Ls/Affnll2htbcWCBQug0Zx7WXLPPfcgIiIC//3vf+36mgBDO+Dx48exe/du5b+dtQF+/vnnSEpKwi233KJc5u/vjwceeAD19fXYtWuXye1vuukmREdHK38ePXo0AENbp6UccR9EpD4mVkTk1nQ6HdasWYNx48YhLy8Px48fx/HjxzFy5EiUlJRg+/btAAyJwA033IBPPvlEOSuVlZWFtrY2k8Tq2LFj+PXXXxEfH2/yccEFFwA4dzhe6N27t9m4Nm/ejFGjRiEoKAgxMTGIj4/HsmXLUFNTo9zm1KlT0Gg0He7j/GlmZWVlqK6uxttvv90hLnFu7Py4bNHZ12JOSkpKhxfD4u8oPz/frjjq6+sBAOHh4TZ9vp+fH1JTUztcXlBQgNmzZyMmJgZhYWGIj4/H2LFjAcDk+2KpsrIyNDY2YsCAAR2uGzRoEPR6fYcx3j179jT5s3ixXFVV1e3jaTQakwQOMP93fscdd+Cbb75RkrV169ahra0Nt99+e/dfVDfMfW8s+VkXcRUUFCAnJweAIWEqKSnpNi7xdZz/9xwQEIA+ffpYnJR25eKLL8bAgQOxevVqrFq1CklJScqbKebi6d+/v0mSBxi+58bxCvZ8zx15H0SkPp6xIiK3tmPHDpw9exZr1qzBmjVrOly/atUqTJw4EQBw880346233sKWLVswffp0rF27FgMHDjQ5VK/X6zF06NBOR0qnpaWZ/NlchScnJwdTp07FmDFj8OabbyI5ORn+/v5YsWIFVq9ebfXXqNfrAQC33XYb7rzzTrO3seQsSXcsrVY528GDBwGcSzA7q7KIauT5AgMDO7zo1el0+P3vf4/Kyko88sgjGDhwIEJDQ1FUVITZs2crf8fOptVqzV4uGw2DsNfNN9+MhQsXYtWqVXjsscewcuVKXHbZZWYTQGud/72x5md90qRJSExMxMqVKzFmzBisXLkSSUlJmDBhgt1xOcKsWbOwbNkyhIeH46abburwM2QrR3zPXfFzQ0TOx8SKiNzaqlWrkJCQoEzVMpaVlYWNGzdi+fLlCA4OxpgxY5CcnIyPP/4YV111FXbs2IG//e1vJp/Tt29f7Nu3D+PHj7e5bWrDhg0ICgrCF198gcDAQOXyFStWmNyuV69e0Ov1yMvLQ//+/ZXLjx8/bnK7+Ph4hIeHQ6fTuc2L0DNnznQYY3706FEAUAZ42KK+vh4bN25EWlqaUgEQ784bT4ADOlYGunLgwAEcPXoU77//Pu644w7l8m3btnW4raXf9/j4eISEhODIkSMdrjt8+DA0Gk2HRNweer0eJ0+eVKpUgPm/85iYGFx77bVYtWoVbr31VnzzzTdYsmSJ3Y9v7ntj6c86YEgOZs2ahffeew8vvvgiNm3ahHvuuafTpEHo1asXAODIkSMmFbvW1lbk5eU57N/ErFmz8MQTT+Ds2bNdDi7p1asX9u/fD71eb5J8iamCIl5r2NuiSUSega2AROS2mpqakJWVhT/84Q+YMWNGh4958+ahrq4On376KQBDK9WMGTPw2Wef4cMPP0R7e7tJGyAAzJw5E0VFRfjPf/5j9vEaGhq6jUur1UKSJJOKSn5+foeJgmLE9Jtvvmly+RtvvNHh/m644QZs2LBBqRgYs2Zct6O0t7fjrbfeUv7c2tqKt956C/Hx8bj00kttus+mpibcfvvtqKysxN/+9jflxWavXr2g1Wrx1Vdfmdz+/L+3rogX78bv8MuyjKVLl3a4rUgWz0/kzN3nxIkT8cknn5i04pWUlGD16tW46qqrEBERYXGMlvjXv/6l/L8sy/jXv/4Ff39/jB8/3uR2t99+Ow4dOoS//vWv0Gq1ytRLW3X2vbH0Z904rqqqKsyZMwf19fUWTSmcMGECAgIC8Prrr5t8/9555x3U1NSYndxni759+2LJkiVYvHgxfve733V6uylTpqC4uNjkvGZ7ezveeOMNhIWFKe2l1rD0Z46IPBsrVkTktj799FPU1dVh6tSpZq8fNWoU4uPjsWrVKiWBuummm/DGG2/gySefxNChQ5V33oXbb78da9euxZ/+9CdkZ2fjyiuvhE6nw+HDh7F27Vp88cUXuOyyy7qM69prr8Wrr76KyZMnY9asWSgtLcW///1v9OvXD/v371dud+mll+KGG27AkiVLUFFRoYxbF1UI43exX3jhBWRnZ2PkyJG45557cOGFF6KyshI///wzvvzyS1RWVtr0d2irlJQUvPjii8jPz8cFF1yAjz/+GHv37sXbb79t0fjnoqIirFy5EoChEnLo0CGsW7cOxcXFePDBB00GY0RGRuLGG2/EG2+8AUmS0LdvX2zevNmqc2UDBw5E37598dBDD6GoqAgRERHYsGGD2TMqIjF84IEHMGnSpC4Tk+eeew7btm3DVVddhT//+c/w8/PDW2+9hZaWFrz00ksWx2eJoKAgbN26FXfeeSdGjhyJLVu24L///S8ee+wxxMfHm9z22muvRWxsLNatW4drrrkGCQkJFj+ONd8bS3/WhYsvvhhDhgxRhsRccskl3cYTHx+PRYsW4emnn8bkyZMxdepUHDlyBG+++SZGjBhh1wj5850/Kt2ce++9F2+99RZmz56NPXv2ID09HevXr1cqg7acDbTmZ46IPJhK0wiJiLp13XXXyUFBQXJDQ0Ont5k9e7bs7++vjCnX6/VyWlqaDEB+7rnnzH5Oa2ur/OKLL8qDBw+WAwMD5ejoaPnSSy+Vn376abmmpka5Hc4bw2zsnXfekfv37y8HBgbKAwcOlFesWKGMdzbW0NAgz507V46JiZHDwsLk6dOnKyOzX3jhBZPblpSUyHPnzpXT0tJkf39/OSkpSR4/frz89ttvW/T3Jctdj1tft25dh9t3Nm598ODB8k8//SRffvnlclBQkNyrVy/5X//6l0Ux9OrVSwYgA5AlSZIjIiLkwYMHy/fcc4/8ww8/dBr3DTfcIIeEhMjR0dHynDlz5IMHD5odtx4aGmr2Pg4dOiRPmDBBDgsLk+Pi4uR77rlH3rdvX4f7aG9vl++//345Pj5eliTJ5Ht2/t+dLMvyzz//LE+aNEkOCwuTQ0JC5HHjxsnffvutyW3EuPXdu3ebXN7ZKPnzia/rxIkT8sSJE+WQkBA5MTFRfvLJJ01GkBv785//LAOQV69e3eV9G7Ple2Ppz7rw0ksvyQDkf/zjHxbHJcuG8eoDBw6U/f395cTERPm+++6Tq6qqTG5j67j1rpj7d15SUiL/8Y9/lOPi4uSAgAB56NChJj9DsnxuVPo///lPs/dp/HPU2c+cNfdBRO5PkmWejCQicqW9e/fi4osvxsqVK3HrrbeqHU4HGRkZKC8vN9uWSO5j4cKFeOedd1BcXKwsSXYHS5cuxcKFC5Gfn99h2h0RkTfjGSsiIidqamrqcNmSJUug0WgwZswYFSIib9Dc3IyVK1fihhtucKukSpZlvPPOOxg7diyTKiLyOTxjRUTkRC+99BL27NmDcePGwc/PD1u2bMGWLVtw7733OnSiHPmG0tJSfPnll1i/fj0qKiosOjPkCg0NDfj000+RnZ2NAwcO4JNPPlE7JCIil2NiRUTkRFdccQW2bduGZ599FvX19ejZsyeeeuqpDmPgiSxx6NAh3HrrrUhISMDrr7+Oiy66SO2QABgmV86aNQtRUVF47LHHOh04Q0TkzXjGioiIiIiIyE48Y0VERERERGQnJlZERERERER24hkrM/R6Pc6cOYPw8HCTBZ5ERERERORbZFlGXV0dUlJSoNF0XpdiYmXGmTNnOK2LiIiIiIgUhYWFSE1N7fR6JlZmhIeHAzD85UVERKgcDRERERERqaW2thZpaWlKjtAZJlZmiPa/iIgIJlZERERERNTtESEOryAiIiIiIrITEysiIiIiIiI7MbEiIiIiIiKyExMrIiIiIiIiOzGxIiIiIiIishMTKyIiIiIiIjupmlgtXrwYI0aMQHh4OBISEjB9+nQcOXLE5DYZGRmQJMnk409/+lOX9yvLMp544gkkJycjODgYEyZMwLFjx5z5pRARERERkQ9TNbHatWsX5s6di++//x7btm1DW1sbJk6ciIaGBpPb3XPPPTh79qzy8dJLL3V5vy+99BJef/11LF++HD/88ANCQ0MxadIkNDc3O/PLISIiIiIiH6XqguCtW7ea/Pm9995DQkIC9uzZgzFjxiiXh4SEICkpyaL7lGUZS5YsweOPP45p06YBAD744AMkJiZi06ZNuPnmmx33BRAREREREcHNzljV1NQAAGJiYkwuX7VqFeLi4jBkyBAsWrQIjY2Nnd5HXl4eiouLMWHCBOWyyMhIjBw5Et99953Zz2lpaUFtba3JBxERERERkaVUrVgZ0+v1WLBgAa688koMGTJEuXzWrFno1asXUlJSsH//fjzyyCM4cuQIsrKyzN5PcXExACAxMdHk8sTEROW68y1evBhPP/20g74SIiIiIiLyNW6TWM2dOxcHDx7E119/bXL5vffeq/z/0KFDkZycjPHjx+PEiRPo27evQx570aJF+Mtf/qL8uba2FmlpaQ65byIiIiIi8n5u0Qo4b948bN68GdnZ2UhNTe3ytiNHjgQAHD9+3Oz14ixWSUmJyeUlJSWdntMKDAxERESEyQcREREREZGlVE2sZFnGvHnzsHHjRuzYsQO9e/fu9nP27t0LAEhOTjZ7fe/evZGUlITt27crl9XW1uKHH37A5Zdf7pC4idyVTq/Dzvyd+OjAR9iZvxM6vU7tkIiIiIh8gqqtgHPnzsXq1avxySefIDw8XDkDFRkZieDgYJw4cQKrV6/GlClTEBsbi/3792PhwoUYM2YMhg0bptzPwIEDsXjxYlx//fWQJAkLFizAc889h/79+6N37974+9//jpSUFEyfPl2lr5TI+bJyszB/63ycrj2tXJYakYqlk5cic1CmipEREREReT9VE6tly5YBMCwBNrZixQrMnj0bAQEB+PLLL7FkyRI0NDQgLS0NN9xwAx5//HGT2x85ckSZKAgADz/8MBoaGnDvvfeiuroaV111FbZu3YqgoCCnf01EasjKzcKMtTMgQza5vKi2CDPWzsD6meuZXBERERE5kSTLstz9zXxLbW0tIiMjUVNTw/NW5PZ0eh3Sl6abVKqMSZCQGpGKvPl50Gq0Lo6OiIiIyLNZmhu4xfAKIrJdTkFOp0kVAMiQUVhbiJyCHBdGRURERORbmFgRebizdWcdejsiIiIish4TKyIPlxxufkKmrbcjIiIiIusxsSLycKN7jkZqRCokSF3ebvPRzWjTtbkoKiIiIiLfwsSKyMNpNVosnbzU7HXGydYr372C0StGI78630WREREREfkOJlZEXiBzUCbWz1yPiEDTSTWpEanYMHMDNszcgMjASPxQ9AMuWn4RNhzaoFKkRERERN6JiRWRl8gclInbht4GAJg6YCqy78xG3vw8ZA7KROagTOz9016M7DESNS01mLFuBub+dy6a25tVjpqIiIjIOzCxIvIiJQ0lAIAJvScgIz3DZG9VelQ6cv6Yg4eveBgA8OZPb2LU/xuFoxVHVYmViIiIyJswsSLyImfrDSPVO5sA6K/1x4u/fxFbbt2C+JB47CvZh0veugQf7vvQlWESEREReR0mVkReROyqSg7rerT65H6TsfdPe5GRnoGGtgbcsekOzN40G/Wt9a4Ik4iIiMjrMLEi8hKyLHdbsTKWEp6CL2//Ek9nPA2NpMH7+97HiP+MwP6S/c4OlYiIiMjrMLEi8hI1LTXKMIruKlaCVqPFE2OfwI47diAlPAWHyw/jd//5HZb/tByyLDszXCIiIiKvwsSKyEuINsDIwEgE+wdb9blj08di75y9uKbfNWjRteC+/96Hm9bfhJrmGmeESkREROR1mFgReQlr2gDNiQ+Nx+ZZm/HP3/8Tfho/rDu0Dhe/dTF2F+1WbqPT67Azfyc+OvARdubvhE6vc0jsRERERJ7OT+0AiMgxLB1c0RWNpMFDVzyE0T1H4+YNNyOvOg9XvHsFXhj/AnpF9cLCLxbidO1p5fapEalYOnkpMgdl2h0/ERERkSdjxYrISxTXFwOwvWJlbGTqSPwy5xfMuHAG2vXteGjbQ7hx3Y0mSRUAFNUWYcbaGcjKzbL7MYmIiIg8GRMrIi+htALaUbEyFhUUhbUz1uJf1/yr09vIMAy4WLB1AdsCiYiIyKcxsSLyEo5OrABAkiQMThjc5W1kyCisLUROQY7DHpeIiIjI0zCxIvISyhkrB7QCmrtfR92OiIiIyBsxsSLyEs6oWAGWJ2qOTuiIiIiIPAkTKyIv4ayK1eieo5EakQoJktnrJUhIi0jD6J6jHfq4RERERJ6EiRWRF2hqa0JNi2GZr6MrVlqNFksnLwWADsmV+POSyUug1Wgd+rhEREREnoSJFZEXEG2AwX7BiAiMcPj9Zw7KxPqZ69EjoofJ5THBMVg/cz33WBEREZHPY2JFTqHT67Azfyc+OvARdubv5ChuJzNuA5Qk8y179soclIn8+fnIvjMbmQMNidTwxOFMqoiIiIgA+KkdAHmfrNwszN8632SZbGpEKpZOXsoX4U7irMEV59NqtMhIz0B6VDo2Ht6IHfk7kFeVh97RvZ36uERERETujhUrcqis3CzMWDvDJKkCgKLaIsxYOwNZuVkqRebdnDW4ojPpUekY32c8AGDF3hUueUwiIiIid8bEihxGp9dh/tb5kCF3uE5ctmDrArYFOoGoWCWFJrnsMe+++G4AhsSK31MiIiLydUysyGFyCnI6VKqMyZBRWFuInIIcF0blG5RWQBfukpo+cDqig6JxuvY0tp3c5rLHJSIiInJHTKzIYUQ7mqNuR5ZTWgGdfMbKWJBfEG4bdhsA4J1f3nHZ4xIRERG5IyZW5DCWVktcWVXxFWpUrIBz7YCfHP4EZQ1lLn1sIiLyDJwUTL6CiRU5zOieo5EakdphiawgQUJaRBpG9xzt4si8nxoVKwAYnjQclyZfijZ9G1buX+nSxyYiIveXlZuF9KXpGPf+OMzKmoVx749D+tJ0DrMir8TEihxGq9Fi6eSlZq8TydaSyUug1WhdGZbXa9O1oazRUC1Soxooqlbv/PIOZLnj4BIiIvJNnBRMvoaJFTlU5qBMrJ+5HmEBYSaXp0akYv3M9dxj5QQlDSUAAD+NH+JC4lz++LcMvQVBfkH4texX/Fj0o8sfn4iI3A8nBZMvYmJFDpc5KBNXp1+t/Dk6KBp58/OYVDmJaANMDE2ERnL9P+mooCjMuHAGAA6xICIiA04KJl/ExIqcIr8mX/n/quYqtOha1AvGy6k1uMKYaAdcc3ANGlobVIuDiIjcAycFky9iYkUOJ8sy8qryTC47WXVSpWi8n1qDK4yN7TUWfaP7oq61DusOrVMtDiIicg+cFEy+iIkVOVxFUwXqWusAABfGXwiAiZUzKRUrFRMrSZJw18V3AWA7IBERcVIw+SYmVuRwolqVHJbMxMoFlIqVyu/63Tn8TmgkDb4u+BpHyo+oGgsREamLk4LJFzGxIofLqzYkVn2i+6BvdF8ATKycyR0qVgDQI6IHrul3DQDg3V/eVTUWIiJSn5gU7K/xN7mck4LJWzGxIocTFave0b3RJ7oPACZWzuQOwysEMcTi/X3vo03XpnI0RESktsxBmSYrWAbHD+akYPJaTKzI4UQS1TvqXGJ1ouqEmiF5NXcYXiH84YI/ICE0ASUNJfj82Odqh0NERCqrbalFVXOV8udTNacgSebPXRF5OiZW5HCiFdA4scqryoNe1qsZllfSy3plQbA7VKz8tf64Y9gdADjEgoiIgFPVpwAYdh4GaANQ31rfYXIwkbdgYkUOZ3zGKi0iDVpJixZdC3dVOEF5Yzna9e2QICExNFHtcAAAd19iaAf8/Njn/J4TEfm4/Op8AEDf6L4YHD8YALCvZJ+KERE5DxMrciidXqe8O9U7ujf8tf7oFdULAM9ZOYNIXOJC4uCv9e/m1q4xMG4grki7AjpZh/f3va92OEREpCKRWKVHpWN40nAAwL5iJlbknZhYkUMV1RWhTd8Gf40/eoT3AACes3IidxpcYUwMsXj3l3chy7LK0RARkVpMEqtEQ2K1v3S/ihEROQ8TK3Io0TfdK6qXspuiTxQnAzqLOw2uMDZz8EyEBYThWOUx5BTkqB0OERGpJL8mH4BpYsWKFXkrJlbkUMaDKwSOXHee4vpiAO5XsQoLCMNNg28CwCEWRES+zLhiNSxxGADDa4XalloVoyJyDiZW5FDKDiujxKpvDJcEO4u7LAc2R7QDrvt1HWqaa1SOhoiI1GCcWMWGxCrHBPaXsB2QvA8TK3Kok9W/7bCKZsXKFdw5sRqVOgqD4gahqb0Jaw6uUTscIiJysdqWWlQ2VQIAekUaBllxgAV5MyZW5FCiYiWSKeP/L2koQX1rvSpxeSvljJWbtQICgCRJStWK7YBERL5HTAmODY5FeGA4AJw7Z8WR6+SFmFiRQ5k7YxUVFIXooGjD9VwK6FDuXLECgNuH3w4/jR92n9mNAyUH1A6HiIhcyLgNUGBiRd6MiRU5THN7M87UnQFg2goIsB3QGWRZduuKFQAkhCZg6oCpAFi1IiLyNWYTq99aAQ+UHIBOr1MhKiLnYWJFDiN+gYYFhCE2ONbkOg6wcLzallo0tTcBcN+KFXBuiMWH+z9ES3uLytEQEZGrnKoxtAKK81UA0D+mP4L9gtHU3oTjlcfVCo3IKZhYkcMYn6+SJMnkOu6ycjzRBhgZGIlg/2CVo+ncpL6T0CO8ByqbKvHJkU/UDoeIiFzEXMVKq9FiSMIQAJwMSN5H1cRq8eLFGDFiBMLDw5GQkIDp06fjyJEjZm8ryzKuueYaSJKETZs2dXm/s2fPhiRJJh+TJ092wldAxsydrxJEK+CJqhMujcmbuXsboKDVaDH7otkA2A5IRORLzCVWAM9ZkfdSNbHatWsX5s6di++//x7btm1DW1sbJk6ciIaGhg63XbJkSYcqSFcmT56Ms2fPKh8fffSRI0MnM8ztsBJ4xsrx3H1whbG7Lr4LALDtxDZlShQREXm3ThOrJCZW5J381HzwrVu3mvz5vffeQ0JCAvbs2YMxY8Yol+/duxevvPIKfvrpJyQnW/YiMjAwEElJSQ6Nl7pmboeVIBKrvOo86GU9NBK7UO3lKRUrwPD9H5c+Dtn52Xhv73t4MuNJtUMiIiInqmupQ0VTBQCgV1Qvk+uGJQ4DwF1W5H3c6tVtTU0NACAmJka5rLGxEbNmzcK///1vqxKlnTt3IiEhAQMGDMB9992HioqKTm/b0tKC2tpakw+ynrkdVkJaZBr8NH5o1bUqkwPJPp5UsQLODbFYsXcF9LJe5WiIiMiZxOCKmOAYRARGmFwnEqvC2kJlgTCRN3CbxEqv12PBggW48sorMWTIEOXyhQsX4oorrsC0adMsvq/Jkyfjgw8+wPbt2/Hiiy9i165duOaaa6DTmR/ruXjxYkRGRiofaWlpdn89vqirM1Z+Gj9lKtCJSp6zcgRPS6wyB2UiMjASp2pOYfvJ7WqHQ0RETtRZGyBg2G8pXhNwgAV5E7dJrObOnYuDBw9izZo1ymWffvopduzYgSVLllh1XzfffDOmTp2KoUOHYvr06di8eTN2796NnTt3mr39okWLUFNTo3wUFhba8ZX4pqqmKlQ3VwMw/0sU4DkrR/OkVkAACPYPxq1DbwXAIRZERN6uq8QKMDpnxXZA8iJukVjNmzcPmzdvRnZ2NlJTU5XLd+zYgRMnTiAqKgp+fn7w8zMcCbvhhhuQkZFh8f336dMHcXFxOH7c/L6EwMBAREREmHyQdUS1KiE0AaEBoWZvw8TKsUTFKinMc84S3n2JoR1w4+GNqGjsvD2XiIg8m5JYRaabvZ6TAckbqZpYybKMefPmYePGjdixYwd69zZtIXv00Uexf/9+7N27V/kAgNdeew0rVqyw+HFOnz6NiooKiwdfkPW6Ol8l9I3+bUlwNRMrR1AqVh7SCggAlyRfgouSLkKrrhWrDqxSOxwiInKSbitWvyVWbAUkb6JqYjV37lysXLkSq1evRnh4OIqLi1FcXIympiYAQFJSEoYMGWLyAQA9e/Y0ScIGDhyIjRs3AgDq6+vx17/+Fd9//z3y8/Oxfft2TJs2Df369cOkSZNc/0X6iK7OVwmsWDlOU1sTaloMw148pRVQEEMs3vnlHciyrHI0RETkDJa2Ah4sPYh2fbuLoiJyLlUTq2XLlqGmpgYZGRlITk5WPj7++GOr7ufIkSPKREGtVov9+/dj6tSpuOCCC3D33Xfj0ksvRU5ODgIDA53xZRDOJUuWJFYcXmE/0QYY5BeEyMBIlaOxzq1Db0WgNhD7S/Zjz9k9aodDRERO0F1i1Se6D0L9Q9Gia8HRiqOuC4zIiVTdY2XLu9XmPsf4suDgYHzxxRd2xUXWUypWZnZYCSKxKmssQ11LHcIDw10SmzcybgO0ZnG2O4gOjkbmoEx8dPAjvPPzO7gs5TK1QyIiIgfqaoeVoJE0GJo4FN+f/h77ivfhwvgLXRkikVO4xfAK8nyWnLGKDIpETLBhR5lIxMg2yqh1D2sDFEQ74OqDq9HY1qhyNERE5Ehd7bAyxgEW5G2YWJHd9LJeKfl31QoIGA2w4Dkru3ji4Apj43qPQ++o3qhtqcWGQxvUDoeIiByouzZAgYkVeRsmVmS3s3Vn0aJrgVbSIi2y6+XKHGDhGJ62HPh8GkmDP170RwDcaUVE5G0sTqy4y4q8DBMrspto60uLTIOfputjexxg4Rie3goIALMvmg0JEnad2oXjleZ3zBERkefpboeVMDRhKADDc1pZQ5mToyJyPiZWZDdLzlcJSsWKu6zs4umtgIAhEZ/Uz7AC4d1f3lU5GiIichRLK1bhgeHKEQHusyJvwMSK7GbJDiuBZ6wcwxsqVsC5IRbv7X2Pe0yIiLyEpYkVYNQOyHNW5AWYWJHdLNlhJYiKVX51PnR6nVPj8mbeULECgKkDpiIuJA5n689i6/GtaodDREQOIBKrzkatG+MAC/ImTKzIbpbssBJSI1Lhp/FDq64VRXVFzg7NK7Xp2lDWaOhF9/SKVYA2ALcPux0Ah1gQEXmD+tb6czusIq1IrDjAgrwAEyuymzVnrLQardIawHZA25Q0lAAA/DR+iAuJUzka+4l2wM1HN6OkvkTlaIiIyB6nqg07rKKDohEZFNnt7YclDgMAHCo7hFZdq1NjI3I2JlZkl1ZdK07XngZgWSsgwJHr9hJtgImhidBInv9PeHDCYIzsMRLt+nY8mf0kPjrwEXbm72SrKBGRB7LmfJW4XURgBNr0bThcfth5gRG5gOe/KiNVnao+BRkyQvxDkBCaYNHncICFfbxlcIWxi5MuBgC89fNbmJU1C+PeH4f0penIys1SOTIiIrKGtYmVJElK1YrtgOTpmFiRXcT5qvSodEiSZNHnsGJlH28ZXCFk5WbhrT1vdbi8qLYIM9bOYHJFRORBrE2sAA6wIO/BxIrsYs35KkFZElzFJcG2KK4vBuAdiZVOr8P8rfMhQ+5wnbhswdYFbAskIvIQ+TX5AGxLrLjLijwdEyuyizU7rARWrOzjTa2AOQU5yhk9c2TIKKwtRE5BjgujIiIiW9lUseIuK/ISTKzILtbssBJEYlXeWI7allqnxOXNlMTKCypWoq3RUbcjIiJ12ZJYDUkYAo2kQWlDqdKVQeSJmFiRXazZYSVEBEYoY8JFKyFZTjlj5QUVK0u/Bm/4WomIvF19az3KG8sBWLbDSgjxD0H/mP4AOMCCPBsTK7KLLWesjG/PdkDreVPFanTP0UiNSIUE84NPJEhIi0jD6J6jXRwZERFZy9odVsaUyYBsByQPxsSKbFbbUqtsV7emFRDgAAtb6WX9ueEVXlDF0Wq0WDp5KQB0SK7En5dMXgKtRuvy2IiIyDq2tAEKnAxI3oCJFdlMVKtig2MRHhhu1ef2iWLFyhYVjRVo17dDgoTE0ES1w3GIzEGZWD9zPXpE9DC5PDUiFetnrkfmoEyVIiMiImvYlViJARZsBSQPxsSKbGbL+SqhbwyXBNtCtAHGhcTBX+uvcjSOkzkoE/nz8zFryCwAwPUDr0fe/DwmVUREHsQRFavD5YfR3N7swKiIXIeJFdnM1vNVxp/DxMo63jS44nxajRa/6/E7AIC/1p/tf0REHsaWHVZCakQqooOioZN1yC3LdWxgRC7CxIpsZssOK0EkVvnV+Vz+agVvGlxhTmKYob2xpL5E5UiIiMha9lSsJEniPivyeEysyGa27LASeoT3gL/GH236ti4XxJIpb65YAVDOjXGPCRGR57EnsQKMBljwnBV5KCZWZDN7zlhpNVrlFy/bAS3nMxWrBlasiIg8ia07rIxxMiB5OiZWZBNZlpV3pmw5YwVwgIUtvD2xSgpLAgBUN1ejpb1F5WiIiMhSYodVVFCU1TusBONWQFmWHRYbkaswsSKblDaUorGtERIk9IzsadN9cOS69by9FTA6KBr+GsO0w9KGUpWjISIiS9nbBggAF8ZfCK2kRWVTJYrqihwTGJELMbEim4hkKDUiFQHaAJvug0uCreftFStJkpAQmgCA56yIiDyJIxKrIL8gDIgbAIDnrMgzMbEim4jzVba2ARp/LitWlpFl2esrVgDPWREReaJTNYZWwPTIdLvuh+esyJMxsSKbiB1WtgyuEHjGyjq1LbVoam8CcO4skjcSkwE5cp2IyHM4omIFMLEiz8bEimxiz6h1QXxuRVMFapprHBKXNxNtgBGBEQjxD1E5GucRSSMrVkREnsNhidVvAyz2l+y3MyIi12NiRTaxZzmwEB4YjviQeJP7o84pbYBeer5KYMWKiMjzOLpidbTiKJramuyMisi1mFiRTRxxxsr4809UcoBFd5TBFV58vgo4d8aquIHDK4iIPEFDawPKGssAAL2ibNthJSSFJSE+JB56WY+DpQcdER6RyzCxIqu16dpQWFMIwL4zVgAHWFiDFSsiInJHYnBFVFAUooKi7LovSZJM9lkReRImVmS1wtpC6GQdArWBdg9R6BvNARaW8vZR6wKnAhIReRZHtQEKwxKGAeDIdfI8TKzIamIiYHpUOjSSfT9CSsWqmolVd3ylFVAZXsGKFRGRR3B0YsWKFXkqJlZkNUedrzK+D56x6p6vtQJWNVehpb1F5WiIiKg7SmJl5w4rQQyw2F+yH7IsO+Q+iVyBiRVZTdlhZcdEQEEkVqdqTqFd3273/XkzX6lYRQdHw0/jBwAobShVORoiIuqOoytWg+IHwV/jj5qWGuX8FpEnYGJFVhNte/YOrgCAlPAUBGgD0K5vx+na03bfnzfzlYqVRtIgITQBAM9ZERF5AkcnVgHaAAyKHwSA+6zIszCxIqs5smKl1WiV++EAi841tTWhpsWwRNnbK1YAz1kREXkSRydWwLl2QA6wIE/CxIqs5sgzVsb3w8Sqc6INMMgvCJGBkSpH43zKyHVWrIiI3Jojd1gZUxIrDrAgD8LEiqzS0NqgnHtxRCsgwAEWljBuA5QkSeVonE8Zuc6KFRGRW3PkDitjnAxInoiJFVlFVKsc+QuUI9e75yuDKwRRsSquL1Y5EiIi6ooz2gCBcxWrE5UnUN9a79D7JnIWJlZkFUeerxK4JLh7vjK4QmArIBGRZxCJVa9Ix7UBAkB8aDySwpIgQ8aBkgMOvW8iZ2FiRVZx9Pkq4/tiYtU5UbnxlcRKGV7BxIqIyK05q2IF8JwVeR4mVmQVZ1SsxFmtyqZKVDdXO+x+vYnPtQLyjBURkUdwSWLFyYDkIZhYkVUcucNKCAsIU/YWsWplnpJY+UjFiq2ARESewamJ1W8DLPaXcpcVeQYmVmQVZ1SsALYDdkc5Y+VjFavKpkq06lpVjoaIiDojpgI6s2K1v2Q/9LLe4fdP5GhMrMhisiw75YwVwAEW3fG1ilVMcAy0khYAlPH+RET20ul12Jm/Ex8d+Ag783dCp9epHZJHa2xrVH5HOyOxGhA3AIHaQNS31itv7BK5MyZWZLGKpgpl5KkjlwACrFh1pV3fjrIGw/JFX6lYaSQNz1kRkUNl5WYhfWk6xr0/DrOyZmHc++OQvjQdWblZaofmsU5VG6pVkYGRDt1hJfhp/DA4YTAADrAgz8DEiiwmkp6U8BQE+QU59L6VJcFVXBJ8vpL6EsiQ4afxQ1xInNrhuAzPWRGRo2TlZmHG2hk4XXva5PKi2iLMWDuDyZWNnHm+SuAAC/IkTKzIYs46XwWwYtUV0QaYGJoIjeQ7/2RZsSIiR9DpdZi/dT5kyB2uE5ct2LqAbYE2cEViNSxxGABWrMgz+M6rNLKbs85XAefOWJ2qPoV2fbvD79+T+drgCkFUrMQOLyIiW+QU5HSoVBmTIaOwthA5BTkujMo7uLRixcSKPAATK7KYMytWyeHJCNQGQifrUFhT6PD792S+NrhCYCsgETmCeHPKUbejc/Jr8gE4ObH6beR6fnU+apprnPY4RI7AxIos5owdVoJG0ij3y3ZAU0rFyscSq6SwJABMrIjIPpZW+32tK8ARXFGxigmOQWpEKgDgQOkBpz0OkSMwsSKLObNiBXCARWeUipWPPenzjBUROcLonqORGpEKCZLZ6yVISItIw+ieo10cmedzRWIFcIAFeQ5VE6vFixdjxIgRCA8PR0JCAqZPn44jR46Yva0sy7jmmmsgSRI2bdrU5f3KsownnngCycnJCA4OxoQJE3Ds2DEnfAW+Q6fXoaCmAIBzzlgBQJ8oDrAwx9dbAXnGiojsodVosXTyUrPXiWRryeQl0Gq0rgzL4zl7h5UxnrMiT6FqYrVr1y7MnTsX33//PbZt24a2tjZMnDgRDQ0NHW67ZMkSSJL5d5vO99JLL+H111/H8uXL8cMPPyA0NBSTJk1Cc3Ozo78En1FUV4Q2fRv8Nf5ICU9xymP0jeGSYHN8dnhFGM9YEZFjZA7KxPqZ65XF40JqRCrWz1yPzEGZKkXmuZy9w8qYOGfFxIrcnZ+aD75161aTP7/33ntISEjAnj17MGbMGOXyvXv34pVXXsFPP/2E5OSuX1zKsowlS5bg8ccfx7Rp0wAAH3zwARITE7Fp0ybcfPPNjv9CfIBIdnpF9XLau3ocuW6er1esKpsq0aZrg7/WX+WIiMiTXdv/WujkcyPVp/Sbgk9v+ZSVKhu5qg0QOFexOlByADq9jt8zcltudcaqpsYw7SUmJka5rLGxEbNmzcK///1vJCUldXsfeXl5KC4uxoQJE5TLIiMjMXLkSHz33XdmP6elpQW1tbUmH2TK2eerACZW5uhlvdIK52sVq9iQWOXdZdFuQkRkq1M1p0z+3KJr4Qt0O7gyseoX0w/BfsFoam/C8crjTn88Ilu5TWKl1+uxYMECXHnllRgyZIhy+cKFC3HFFVco1afuFBcbXoQmJiaaXJ6YmKhcd77FixcjMjJS+UhLS7Pxq/BeztxhJYikraq5ClVNVU57HE9S0ViBdn07JEhKBcdXaCQNEkITALAdkIjsd6LSMBhJnKsSiQHZxpWJlVajxZAEw2tDtgOSO3ObxGru3Lk4ePAg1qxZo1z26aefYseOHViyZIlTH3vRokWoqalRPgoLuUfpfKKK5MyKVWhAqJI8sGplINoA40LifLIVTpyz4gALIrKXeF65OPliAEBBTQF0el1Xn0JdcMUOK2OcDEiewC0Sq3nz5mHz5s3Izs5GamqqcvmOHTtw4sQJREVFwc/PD35+hiNhN9xwAzIyMszel2gXLCkxfYe7pKSk01bCwMBAREREmHyQKVGxcsYOK2McYGHKVwdXCMqSYI5cJyI7iVUeV6VdBT+NH9r0bcqbV2Q9UbHqFdnLJY/HARbkCVRNrGRZxrx587Bx40bs2LEDvXubvmh/9NFHsX//fuzdu1f5AIDXXnsNK1asMHufvXv3RlJSErZv365cVltbix9++AGXX365074Wb+eKM1YAz1mdTzzpi2W5voaTAYnIUcTzygWxF6BnZE8AbAe0hytbAYFzFav9Jftd8nhEtlA1sZo7dy5WrlyJ1atXIzw8HMXFxSguLkZTUxMAQ/VpyJAhJh8A0LNnT5MkbODAgdi4cSMAQJIkLFiwAM899xw+/fRTHDhwAHfccQdSUlIwffp0l3+N3qCprUl5ge/MM1bAuV1WXBJsoFSsfGwioJAU+lsFmhUrIrKTSKz6RPdRkgEmVrZx5Q4rYVjiMABAYW0hKpsqXfKYRNZSNbFatmwZampqkJGRgeTkZOXj448/tup+jhw5okwUBICHH34Y999/P+69916MGDEC9fX12Lp1K4KCghz9JfgE8cQTHhCOmOCYrm9sJ1asTPnqqHWBFSsicgRZlk0SK9F9IboxyDpih1VEYITTd1gJkUGRShLHqhW5K1X3WMmy7JDPOf8ySZLwzDPP4JlnnrE5NjrH+HyVpUuabcUzVqaUxMrHz1hxeAUR2aO0oRQNbQ2QICE9Kp0VKzsZtwE6+3WBseGJw5FfnY99xfuQkZ7hssclspRbDK8g9+aq81XAuYpVQU0B2nRtTn88d+frrYCsWBGRI4j28tSIVAT6BZ5LrH6bbEfWETvBXNUGKCiTATnAgtwUEyvqlit2WAlJYUkI8guCTtahsJZj7329YiWGdvCMFRHZQ3RBiK4IVqzso1SsItNd+rjinBUTK3JXTKyoW67YYSVoJI3yOGKZo6+SZZkVq99aASuaKljBJCKbKeerfhuQJBIr7rKyjasnAgpi5Pqvpb+iXd/u0scmsgQTK+qWq3ZYCRxgYVDbUoumdsOETF+tWMWGxEIraQEAZY1lKkdDRJ5KtAKK55fksGT4a/zRrm/HmbozaobmkdRKrPpE90FYQBhadC04Un7EpY9NZAkmVtQtccbKFa2AANA3mgMsgHNtgBGBEQjxD1E5GnVoJA3iQ+MBcIAFEdnu/FZArUbLXVZ2UCux0kgaDE0YCoCTAck9MbGiLlU1VaGmxTDK3lW/QJWKVbWPJ1Y+3gYoiHZAnrMiIluJ1nLjNwh5zso2TW1NykAhVydWAAdYkHuzadx6dXU1fvzxR5SWlkKv15tcd8cddzgkMHIP4l2+xNBEl1VN2Apo4OuDK4SksCTsK9nHyYBEZJPGtkbl96noiACYWNlKTAR05Q4rY+KcFRMrckdWJ1afffYZbr31VtTX1yMiIsJkf4EkSUysvIyrz1cB5xKrE5UnIMuyS3dkuBNWrAyUkeusWBGRDUTiFBEYYbLkXlkSXM0lwdZQa4eVoFSsiplYkfuxuhXwwQcfxF133YX6+npUV1ejqqpK+aisrHRGjKQiV5+vAs4lcTUtNahqrnLZ47obcabI5xOrUO6yIiLbGbcBGicCrFjZRq3zVcLQxKGQIOFs/VmUNXCoEbkXqxOroqIiPPDAAwgJ8c3D9L5GqVi5YNS6EOIfoiQTvtwOyFZAA5FYcXgFEdlCGVxh1AYIMLGylVo7rISwgDBlCAnbAcndWJ1YTZo0CT/99JMzYiE35ModVsZ4zsoosfL1ilUYK1ZEZDtlh9V5nRcisSqsLeROJCuoXbECjBYFsx2Q3IzVZ6yuvfZa/PWvf8WhQ4cwdOhQ+Pv7m1w/depUhwVH6lPjjBVgeAL8pvAbn14SrJyx8vGKVVJYEgCesSIi24gdVudXrJLDDbus2vRtOFN3Rhm/Tl1zh8RqeOJwZOVmsWJFbsfqxOqee+4BADzzzDMdrpMkCTodN5h7C72sV36BuvKMlfHjsWLFihXPWBGRPTqrWGkkDXpF9cLxyuPIr85nYmUhd0msAO6yIvdjdSugXq/v9INJlXc5W3cWrbpWaCUtUiNSXfrYypJgH91l1dTWhOrmagCsWIlWwIrGCrTp2lSOhog8iV7Wd5pYATxnZS3jHVa9onqpFocYuX6o7BBada2qxUF0Pi4Ipk6JJ6OekT3hp7Fp5ZnNfL1iJQY1BPkFITIwUuVo1BUbHAuNpIEMGWWNnABFRJY7W3cWLboWaCWt2YqUGMDAxMoyYodVeEA4ooOiVYujV2QvRAZGok3fhsPlh1WLg+h8NiVWu3btwnXXXYd+/fqhX79+mDp1KnJychwdG6lMrfNVwLnEqqCmwCerFMZtgL66x0vQarSID4kHwHNWRGQd4zcI/bX+Ha4XFSvusrKM2jusBEmSOMCC3JLVidXKlSsxYcIEhISE4IEHHsADDzyA4OBgjB8/HqtXr3ZGjKQSZYdVlGvPVwGGgQVBfkHQy3rlHTJfwsEVppQBFjxnRURWUAZXxPQ1e71445AVK8u4w/kqQVkUzAEW5Eas7u96/vnn8dJLL2HhwoXKZQ888ABeffVVPPvss5g1a5ZDAyT1qFmxkiQJfaL74FDZIZysOol+Mf1cHoOaOLjCVGJYIlDCihURWUc5X9XJG4Q8Y2Udt0qskphYkfuxumJ18uRJXHfddR0unzp1KvLyWEr3JmrtsBKUARY+eM5KqVgxsQLAJcFEZBtRsepssq2yy6qGu6ws4U6JlXEroCzLKkdDZGB1YpWWlobt27d3uPzLL79EWlqaQ4Ii96BmxQrw7QEWSsWKrYAAOHKdiGwjnj86awVMCktCgDYAOlmHotoiV4bmkdwpsRqSMAQaSYOyxjK+6UZuw+pWwAcffBAPPPAA9u7diyuuuAIA8M033+C9997D0qVLHR4gqaOlvUV5knH1DitBPK54x9GXsBXQlBi5zsSKiKzR1ah14LddVpG9cKzyGPKr81UdIe4JxJlnd0isQvxD0D+mP45UHMH+kv18I5LcgtUVq/vuuw9r1qzBgQMHsGDBAixYsAAHDx7Exx9/jDlz5jgjRlJBQU0BZMgI8Q9RJrK5mk9XrDi8woQyvIJnrIjIQnUtdShtKAVwrrXcHJ6zskxTW5NSGXKHxArgOStyPzYtJ7r++utx/fXXOzoWciPG56vUGqlqfMZKlmWfGjvOipUptgISkbVEO3tMcAwigzrfB8jEyjIFNQUA1N9hZWx44nCs/XUtEytyG1wQTGapfb4KOPdkV9tSi8qmStXicLV2fTvKGgyLcFmxMhCtgOyjJyJLnajsenCFoCRWNflOjsizucsOK2PKyHXusiI3YVHFKiYmBkePHkVcXByio6O7/AdVWek7L4C9mZo7rIRg/2CkhKfgTN0ZnKw6idiQWNVicaWS+hLIkOGn8UNcSJza4bgFUbGqaKxAu74dfhqbiu1E5EOUwRVdtAECRkuCqzjZuCvuNLhCEK2Ah8sPo7m9GUF+QSpHRL7Oolcnr732GsLDw5X/d5d3Ksh5Tlb/1gqoYsUKMLzTeKbuDE5UncCIHiNUjcVVRBtgYmgiNBKLygAQFxIHjaSBXtajrKGMlTwi6lZ3gysEsVKErYBdc8fEqkd4D8QEx6CyqRKHyg7hkuRL1A6JfJxFidWdd96p/P/s2bOdFQu5EfHOnVo7rIQ+0X3wdcHXPjXAgoMrOtJqtIgPiUdJQwlKGkr4d0NE3RITZS2tWJ2uPc2KeBdEq6Q7JVaSJGF44nBk52djX/E+JlakOqvfDtdqtSgtLe1weUVFBbRarUOCIvW5wxkrwDeXBHNwhXnKyHVOBiQiC1hasUoMS0SgNhA6WYfTtaddEZpHcseKFWDYZwUAa39di535O6HT61SOiHyZ1YlVZ9utW1paEBAQYHdApL6a5hplWIQ7VKwAH0us6phYmSPOWXGABRF1R6fXKYlAd4mVRtIo+6vYDtg5d0yssnKzsHL/SgDA1hNbMe79cUhfmo6s3CyVIyNfZXG9+/XXXwdgKLv+v//3/xAWFqZcp9Pp8NVXX2HgwIGOj5BcTlSr4kLiEB4YrmosPplY1bMV0BwuCSYiS52uPY02fRv8Nf5IjUjt9vbpUek4WnGUiVUn3HGHVVZuFmasnQEZpm/4F9UWYcbaGVg/cz0yB2WqFB35KosTq9deew2AoWK1fPlyk7a/gIAApKenY/ny5Y6PkFzOXc5XAecSq8LaQrTqWhGg9f6qqEisxFJcMkgK5ZJgIrKMeDMuPSodWk33xxTSI9MBsGLVGXfbYaXT6zB/6/wOSRUAyJAhQcKCrQswbcA0i77/RI5icWKVl2d4sT1u3DhkZWUhOlr9f1jkHO5yvgowtH+F+Iegsa0Rp6pPoX9sf7VDcjq2AprHihURWUoZXBHT9eAKgUuCuyb+XnpF9XKLydA5BTldnoeTIaOwthA5BTnISM9wXWDk86w+Y5Wdnc2kysu5ww4rQZIkn2sHZCugeeKMFRMrIuqOMrjCwucxJlZdc7fzVeINSEfdjshRbJopevr0aXz66acoKChAa2uryXWvvvqqQwIj9bjLDiuhT3QfHCw96BOJlV7WK33srFiZEhUrDq8gou6IilV3gysEZUlwNZcEm6MkVr+1TKrN0jce+QYluZrVidX27dsxdepU9OnTB4cPH8aQIUOQn58PWZZxySXcH+AN3OmMFXDuHUfxROnNKhor0K5vB3AukSADpWLFM1ZE1A3xRpylrYDijcTTtafRpmuDv9bfabF5InfbYTW652ikRqSiqLbI7DkrCRJSI1IxuudoFaIjX2Z1K+CiRYvw0EMP4cCBAwgKCsKGDRtQWFiIsWPH4sYbb3RGjORCsiwr70y5U8UK8I1WQNEGGBcS5xODOqwhhnmUN5YryScRkTmW7rASEkMTEeQXBL2s5y4rM9ytFVCr0WLp5KUADEmUMfHnJZOXcHAFuZzViVVubi7uuOMOAICfnx+ampoQFhaGZ555Bi+++KLDAyTXKmkoQVN7EzSSBj0je6odDoBz7zj6RGLFwRWdiguJg0bSQIaM8sZytcMhIjdV3Vyt7GK0NLGSJAm9IrnLqjPullgBQOagTKyfuR49InqYXJ4SnsJR66QaqxOr0NBQ5VxVcnIyTpw4155VXs4XO55OJC+pEaluUzExrlh1tqDaW3BwRee0Gi3iQuIAsB2QiDonnscSQhMQFhDWza3P4QAL89xxh5WQOSgT+fPzkX1ntjIG/uMZHzOp+o1Or8PO/J346MBH2Jm/Ezq9Tu2QvJ7VidWoUaPw9ddfAwCmTJmCBx98EM8//zzuuusujBo1yuEBkmu52/kq4Nwv8rrWOlQ0VagbjJOxYtU1cc6KAyyIqDMnKq0bXCEwsTJP7LAKCwhDTHCMytF0pNVokZGegYuTLwYAHK88rnJE7iErNwvpS9Mx7v1xmJU1C+PeH4f0penIys1SOzSvZnVi9eqrr2LkyJEAgKeffhrjx4/Hxx9/jPT0dLzzzjsOD5Bcy512WAlBfkHoEW4o9YsnTG/FiYBd4y4rIuqOMrgi2rLBFYKSWP02qIEMjNsA3WGHVWcGxg4EABwuP6xyJOrLys3CjLUzOpwXLKotwoy1M5hcOZFVUwF1Oh1Onz6NYcOGATC0BS5fvtwpgZE63GmHlbE+0X1QVFeEk1UnMTJ1pNrhOA1bAbsmBliwFZCIOmPt4AqBFSvzTtWcAuB+bYDnGxA3AABwuMK3EyudXof5W+ebnZYoQ4YECQu2LsC0AdM43MMJrKpYabVaTJw4EVVVVc6Kh1TmbjusBF8ZYKEkVqxYmcUlwUTUHbGaw+aKFRMrE+62w6ozA+MMFasj5UdUjkRdOQU5XU62lCGjsLYQOQU5LozKd1jdCjhkyBCcPOndL259mTuesQLOVdC8PrGqY8WqK0ysiKg79lasxC4rMnDHiYDmiMTqeOVxn17JIV5HOOp2ZB2rE6vnnnsODz30EDZv3oyzZ8+itrbW5IM8V5uuDYW1hQDcr2KlTAas9t7ESpZlVqy6Ic5YcXgFEZnTpmtThi1Ym1gZ77ISz4XkOYlVakQqgv2C0aZvU94k9kWWvjHLN3Cdw+rEasqUKdi3bx+mTp2K1NRUREdHIzo6GlFRUYiOjnZGjOQihbWF0Mt6BPkFKWdZ3IV4gvTm4RV1rXVobGsEwF94nVEqVjxjRURmFNQUQCfrEOQXZPXvUUmS2A5ohqckVhpJc+6clQ8PsBjdczRSI1I7LE4WJEhIi0jD6J6jXRyZb7BqeAUAZGdnOyMOcgOifSI9Kh0ayeqc26nEGavTtafR0t6CQL9AlSNyPFGWjwiMQIh/iMrRuCdleAVbAYnIDPE81juqt03PY+lR6ThcfpiJ1W+a25uVTgp3T6wAYEDsAOwt3ovD5Ydx3YDr1A5HFVqNFksnL8WMtTM6XCeSrSWTl3BwhZNYnViNHTvWGXGQG3DX81UAEB8Sj1D/UDS0NeBUzSlcEHuB2iE5HNsAuydaAcsby6HT6/jEQEQmlMEVMdYNrhDEgAYmVgbuvsPqfMoAiwrfHmCROSgT62eux8x1M6GTzy0FTo1IxZLJS7hA2YmsTqy++uqrLq8fM2aMzcGQupQdVm6YWEmShD7RfXCg9ABOVp30zsSKgyu6FRcSBwkS9LIeZY1lbteySkTqUgZX2LgyhK2Apjxlh5UgEitfbgUUpg+cbtIOeFnKZfj+7u/5hqSTWZ1YZWRkdLjM+B+bTqfrcD15BpFYWXvg11VEYuWt56xYseqen8YPcSFxKGssQ0l9CRMrIjIhKla2Po8xsTLlKeerhAGxhjNWvl6xAoCyhjK0y+emI56tO8ukygWsbkCuqqoy+SgtLcXWrVsxYsQI/O9//3NGjOQiSm+6m00EFJTJgF46cl2pWDGx6pJoB+Q5KyI6n3h+sLkVkImVCU/ZYSWIbpbyxnKUN5arHI26xC6riMAIAEBRXRGqm6tVjMg3WJ1YRUZGmnzExcXh97//PV588UU8/PDDzoiRXMSdz1gB55Y9euvIdaVixVbALikDLDgZkIiMyLJs8w4rwXiXVauu1VGheSyRWPWK6qVuIBYKDQhFWkQaAC4KFonVwLiB6BHeAwCQW5arZkg+wWGj3xITE3HkiG//EHuy+tZ6lDWWAXDvVkDAiytWbAW0CJcEE5E5FU0VqG0x7NO09Q3ChNAEBPsFQ4aMwhrusvK0VkCAAywEsYstNSIVgxMGAwB+LftVzZB8gtVnrPbv32/yZ1mWcfbsWbzwwgu46KKLHBUXuZj45RkdFI3IoEh1g+mEcWIly7JHHKS1BodXWEYkVlwS7Bg6vQ45BTk4W3cWyeHJGN1zNPvwySOJN91SwlMQ7B9s032IXVa55bnIr863uaXQW3hqYrXt5DafH2AhKlap4anQSBr878T/cKjskMpReT+rE6uLLroIkiRBlmWTy0eNGoV3333XYYGRa7n7+Srgt6lEkJTqWkJogtohORQrVpbhGSvHycrNwvyt85UnYMDw7ubSyUs5jpc8jhhsZG/XhXFi5cs8bYeVwAEWBkpiFZGK6OBoAKxYuYLVrYB5eXk4efIk8vLykJeXh1OnTqGxsRHffvstBg4caNV9LV68GCNGjEB4eDgSEhIwffr0Du2Ec+bMQd++fREcHIz4+HhMmzYNhw93/S7E7NmzIUmSycfkyZOt/VJ9irufrwKAQL9ApEakAvC+dsCmtiblUCkrVl3jGSvHyMrNwoy1M0ySKgAoqi3CjLUzkJWbpVJkRLZRBldE21dl4gALA7HDKtQ/FLHBsSpHYzmOXDcwTqwGx//WCljKxMrZrE6sevXqZfKRlpaGoKAgmx58165dmDt3Lr7//nts27YNbW1tmDhxIhoaGpTbXHrppVixYgVyc3PxxRdfQJZlTJw4sdux7pMnT8bZs2eVj48++simGH2Fu49aF7z1nJVoawvyC0JkoHu2YroLnrGyn06vw/yt8yFD7nCduGzB1gXQ6bk+gzyHvYMrBCWxqsm3MyLP5mk7rIQBcYaK1YnKEz49gMQ4sRoUPwiAYTJgTXONmmF5PataAfV6Pd577z1kZWUhPz8fkiShd+/emDFjBm6//Xar/+Ft3brV5M/vvfceEhISsGfPHmXR8L333qtcn56ejueeew7Dhw9Hfn4++vbt/F2pwMBAJCVxx42llFZAN65YAYYnzF2ndnldYmXcBuhJT2BqUFoBWbGyWU5BTodKlTEZMgprC5FTkIOM9AzXBUZkB7HDihUrx/DE81UA0CO8B0L9Q9HQ1oCTVSeVCpYvkWVZ+R2fFpmGqKAo9AjvgaK6IhwqO4TL0y5XOULvZXHFSpZlTJ06Ff/3f/+HoqIiDB06FIMHD8apU6cwe/ZsXH/99XYHU1NjyKJjYmLMXt/Q0IAVK1agd+/eSEtL6/K+du7ciYSEBAwYMAD33XcfKioqOr1tS0sLamtrTT58jahYufMZK8B7K1YcXGE5UbEqayxjRcVG4ufNUbcjcgcOr1gxsQLgeYmVJEk+3w5Y3liOFl0LAMMwFwC4MP5CAOAACyezOLF677338NVXX2H79u345Zdf8NFHH2HNmjXYt28fvvzyS+zYsQMffPCBzYHo9XosWLAAV155JYYMGWJy3ZtvvomwsDCEhYVhy5Yt2LZtGwICAjq9r8mTJ+ODDz7A9u3b8eKLL2LXrl245pprOm0fXLx4scluru6SNm8jy7JHnLECzj1hincmvQUHV1guPjQeEiToZb3PL4C0laUJPBN98hQt7S3KO/SOSqyKaot8upXMUxMr4Fw7oK/ushL/FhJDExGgNbxeVs5ZcYCFU1mcWH300Ud47LHHMG7cuA7XXX311Xj00UexatUqmwOZO3cuDh48iDVr1nS47tZbb8Uvv/yCXbt24YILLsDMmTPR3Nzc6X3dfPPNmDp1KoYOHYrp06dj8+bN2L17N3bu3Gn29osWLUJNTY3yUVjoW7sryhvL0dDWAAmS2y8BVJYEe2vFiolVt/w0fogLiQPAc1a2Gt1zNFIjUiHBfNupBAlpEWkY3XO0iyMjsk1+dT5kyAj1D7V7Ymx8SLyyy0oMcPBFnpxYDYz9rWJV4ZsVK+PzVQJ3WbmGxYnV/v37u5ysd80112Dfvn02BTFv3jxs3rwZ2dnZSE1N7XB9ZGQk+vfvjzFjxmD9+vU4fPgwNm7caPH99+nTB3FxcTh+/LjZ6wMDAxEREWHy4UuMd38E+dk2iMRVxDuRRbVFaG7vPLn2NErFihUCi/CclX20Gi2WTl7a5W2WTF7CfVbkMYzbAO09pyp2WQG+3Q54quYUAM9MrETFyldbAc0lVmwFdA2LE6vKykokJiZ2en1iYiKqqqqsenBZljFv3jxs3LgRO3bsQO/e3behybIMWZbR0tJi8eOcPn0aFRUVSE7mi1ZzPOV8FQDEhcQhLCAMMmScqj6ldjgOw1ZA63AyoP0yB2Vi/cz1CPYzXaQa5BeE9TPXc48VeRRlcIWDFvr6emLV0t6CM3VnAHhmYiXOWB0pP9Jh76ov6CqxOl17mpMBncjixEqn08HPr/MhglqtFu3t7VY9+Ny5c7Fy5UqsXr0a4eHhKC4uRnFxMZqamgAAJ0+exOLFi7Fnzx4UFBTg22+/xY033ojg4GBMmTJFuZ+BAwcqFaz6+nr89a9/xffff4/8/Hxs374d06ZNQ79+/TBp0iSr4vMVnnK+CjC8k+iN56w4vMI6omIlxtSTbTIHZeLipIsBADMGzQAAtOnaMC69Y8s3kTtTKlZRjlkZIp4PfTWx8tQdVkL/mP6QIKGquQpljWVqh+NyhbWGIy1pEedmBkQFRSmDLHLLc1WJyxdYPG5dlmXMnj0bgYGBZq+3poIkLFu2DACQkZFhcvmKFSswe/ZsBAUFIScnB0uWLEFVVRUSExMxZswYfPvtt0hIONdDfeTIEWWioFarxf79+/H++++juroaKSkpmDhxIp599tlOY/d1nrLDSugT3Qf7S/Z71TkrUbESy2+pa0rFiq2AdiuqKwIA/OXyv+BwxWEcLD2ITYc34Y8X/1HlyIgsJ95oc9TzmK9XrDx1h5UQ7B+MXlG9kF+djyPlR+w+d+dpzFWsAMMAizN1Z/Br6a8YlTpKjdC8nsWJ1Z133tntbe644w6rHry78mxKSgo+//xzq+4nODgYX3zxhVVx+DpP2WEleNsAi3Z9O8oaDO+osRXQMiIBZSugffSyXkms0iLTMPPCmThYehDrDq1jYkUeRTwfsBXQMTx5cIUwMG4g8qvzcbj8MEb38q1BPF0lVttObuM5KyeyOLFasWKFM+MgFXnSGSvA+3ZZldSXQIYMraRFfGi82uF4BJ6xcoyS+hK069uhkTRICkvCjYNvxBM7n8C2k9tQ1VSF6OBotUMk6pYsyw7bYSUwscoH4NmJ1YDYAdh6fKvPDbAwXg58fmIlzllxMqDzWHzGiryTTq9Teqk9pWLlbYmVaANMDEuERuI/SUtwKqBjiCfflPAU+Gn8MDBuIIYmDEW7vh2bDm9SNzgiC5U0lKCxrRESJIclAuJ+ztSdQUu79UcdPF1+TT4Az06slAEWFb61y6qquQpN7YZZBT0iephcx5HrzsdXcT7udO1ptOvbEaANUA41ujvjxMobpv1wh5X1RMWKwyvsIw44G7+reeOFNwIA1h1ap0pMRNYSb7KlRaYpy1DtFRcShxD/EMiQlX8nvsQbKlYisfK1ipV4wywuJK7DCh3jyYC1LbUuj80XMLHyceIJqVdkL4/ZWSN+0Te0NeCtn97Czvyd0Ol16gZlB+6wsp6oWJU1lnn0915t5tpFbhxsSKy2ndyGyqZKVeIissaJSscOrgBMd1mJybm+RCRWvSJ7qRuIHQbEGnZZ5VXn+VTVsbCm40RAwXgyIM9ZOQcTKx/naeerAGDz0c3QSoYk8L7P78O498chfWk6snKzVI7MNqxYWS8+JB4SJOhlPSqaKtQOx2OJxMr4Cdi4HfCTw5+oFRqRxZTBFdGOGVwh+Oo5K0/fYSUkhSUhIjACelmP45XH1Q7HZTo7XyVwUbBzMbHycZ60wwoAsnKzMGPtDOhk0ypFUW0RZqyd4ZHJlWhnY2JlOX+tP2JDDLtVeM7KduZaAQG2A5JnOVnt2MEVQnpkOgDfS6zEuesQ/xDEhcSpHI3tJElSqla+1A7YXWI1OP63c1alPGflDDYlVkeOHMG8efMwfvx4jB8/HvPmzcORI751ONBbeNIOK51eh/lb50NGx3NV4rIFWxd4XGsYWwFtw8mA9uvsCZjtgORJRCugoytWopNDDHLwFZ6+w8qYLw6wOF1nYWLFARZOYXVitWHDBgwZMgR79uzB8OHDMXz4cPz8888YMmQINmzY4IwYyYk8aYdVTkGO8kLQHHHIOKcgx4VR2U9JrFixsoo4Z8UBFrYz1woIsB2QPIujR60LvtoK6A2DKwRfHGDBVkB1WZ1YPfzww1i0aBG+++47vPrqq3j11Vfx7bff4rHHHsPDDz/sjBjJSXR6nfLLprKp0u0rPeIskqNu5y6UM1asWFlFqVixFdAmelmPolrDcmBzT8BsByRP0NjWqLw5xcTKMZTE6rdWSE8mWgF9qmLVyRtmgkisCmsLORnQCaxOrM6ePYs77rijw+W33XYbzp71rBe0viwrNwu9lvRCVXMVAOBP//2T2w+AsDTx8KQERZZlnrGyUVJYEgC2AtqqtKEUbfo2aCSN2X8zbAckTyDOCUcGRiImOMah9+2ru6y8YYeVYFyx8ob1LN2RZVmZCthZxSo6OFp5vZFbluuy2HyF1YlVRkYGcnI6tlp9/fXXGD16tEOCIucSAyCK6opMLnf3ARCje45GakQqJJjv+ZYgIS0iDaN7es7PYUVTBdr0bQDOtbaRZXjGyj7iyTc5LBl+Gr8O17MdkDyBcRugo88DxQbHItQ/FMC5gQ6+wJtaAfvF9ING0qC2pdYn2sZrWmrQ0NYAoONyYGNcFOw8VidWU6dOxSOPPIJ58+Zh5cqVWLlyJebNm4dHH30U119/PT799FPlg9yPJw+A0Gq0WDp5KQB0SK7En5dMXuIx+7iAc22AcSFxDlts6St4xso+3fXhA8DMwTMBAGsPrXVJTETWOlH12+CKGMcOrgDO22VV7Tu7rLwpsQr0C1TOkPtCO6D4vR4THIMQ/5BObycGWPCcleN1fJuyG3/+858BAG+++SbefPNNs9cBhl9IOp37vTj3ddYMgMhIz3BdYBbKHJSJ9TPXY/7W+SZfR3J4Mt645g1kDspUMTrrcXCF7XjGyj5KH36k+T58wHDO6u/Zf8eXJ79EZVOlw1utiOylVKyinDPZNj0qHb+W/eoz56y8ZYeVsYFxA3Gi6gQOlx92y9c1jmTJG2bAuXNWrFg5ntUVK71eb9EHkyr35A0DIDIHZSJ/fj6y78xWfvE/f/XzHpdUARxcYQ9RsWIroG2UHVbhnT8BD4gbwHZAcmvOmggo+NoAC2/ZYWVMGWBR7jsVq+4SK+6ych4uCPYx3jIAQqvRIiM9A7cOvRUA8MWJL1SOyDasWNlODK8oayiDXtarHI3nsfQJmO2A5M6c2QoI+F5i5U07rARlgEWF949cF2dnO5sIKHAyoPNY1Ar4+uuv495770VQUBBef/31Lm/7wAMPOCQwcg4xAKKzdkAJElIjUj1mAMQ1/a7B8znP44vjX6Bd3272EL47UypWTKysFh8SDwDQyTpUNFYgPjRe5Yg8iyWtgADbAcl96WW9MhXQWRUrcT7HVxKrUzWnAHhPGyBgqLwDvrHLytI3zMRkwLP1Z5FblouRqSNdEZ5PsOhV6GuvvYZbb70VQUFBeO211zq9nSRJTKzcnFajxR3D78A/cv7R4TpPHAAxMnUkooOiUdVchR+LfsQVaVeoHZJVlIqVm1cI3ZG/1h+xwbGoaKpAcX0xEysrKa2A3TwBD4gbgGGJw7C/ZD82Hd6Euy6+yxXhEXXrTN0ZtOhaoJW06BnZ0ymP4bMVKy/YYSWIitWp6lNoamtCsH+wyhE5z+k6yxIrwDAZ8Gz9WRwqO8TEyoEsagXMy8tDbGys8v+dfZw8edKpwZJjfFv4LQAgLCDM5PLUiFSsn7neo84q+Wn8MLHvRADA58c+Vzka67EV0D48Z2Wb7pYDn4/LgskdifNVvaJ6Oa1bQSRWZ+vPorm92SmP4U68aSKgEB8Sj+igaMiQcazymNrhOJWlFSsAuDCOAyycwaozVm1tbejbty9yc7lQzFP9dOYn7MzfCT+NHw786QCy78zG6szVyL4zG3nz8zwqqRKu6XcNAGDL8S0qR2I9Dq+wj7IkmJMBrVLWUHZuObAFSb1IrEQ7IJE7EIlV32jnnK8CDGOrxZuQvrDLyhsTK0mSlHZAbx9gYU1ixV1WzmFVYuXv74/mZu9/x8abvfztywCAm4fcjPTodGSkZ+CWobcgIz3DY9r/zje532QAwM9nf/aonUayLLNiZScuCbaNaANMCkuCv9a/29uLdsB2fTs2Hd7k5OiILHOi0jC4wlnnqwDTXVa+0A7ojYkVYDTAwovPWdW21CqDKCyqWP02wIK7rBzL6qmAc+fOxYsvvoj29nZnxENOlF+dr7TyPHT5QypH4ziJYYm4NPlSAMDW41tVjsZyda11aGxrBMCKla24y8o2yuCKbiZHGWM7ILmbk9XOHbUuKEuCq7x7SbA37rASxMh1b54MKH6vRwVFdTjqYY5IrApqClDXUufU2HyJxYlVQUEB9Ho9du/ejaysLPTs2ROTJk1CZmamyQe5r9e+ew16WY/f9/k9hicNVzsch5rSfwoAz2oHFG2AEYERXW5Ip86JM1bFDZ5TqXQHYiSvJe9qCmwHJHcjKlbObAUEzg1y8PaKVWFtIWTIXrXDShAVK29uBbSmDRAwtLmKdvrcch7xcRSLE6vevXujvLwcUVFRuOGGGzBp0iSkpKQgMjLS5IPcU2VTJd755R0AwF+v+KvK0TieOGf1vxP/Q7veM6qpbAO0HytWtrH2CRhgOyC5H2cvBxaUVsCafKc+jpp0ep2yBDwuOM7rdgMqiVXFEciyrHI0zmHL73UuCnY8i8foiB/EFStWOC0Ycp7lPy1HQ1sDhicOx4Q+E9QOx+F+1+N3iAmOQWVTJb4//T2u6nmV2iF1i4Mr7KcMr+AZK6uIkbzWtAIChqrV/pL9WHdoHceuk6rqWupQ1lgGwIWJlZdWrLJyszB/63zlhXlBbQHSl6Zj6eSlHjnQypw+0X2glbSob63Hmboz6BHRQ+2QHE5JrMKtS6y2523nAAsHsuqMlbds4fY1Le0teP0Hw2Lnh654yCu/j1qNFpP6TgIAbDnmGe2ArFjZTxm3zoqVVWxpBQTYDkjuQ1SrYoNjERnk3G6Z3tHeuyQ4KzcLM9bOUF6UC0W1RZixdgaycrNUisyxArQB6BtjaBn11gEWtlSsOMDC8axa/PD3v/8dISFdnwV59dVX7QqIHG/VgVUoaShBakQqbhp8k9rhOM01/a7BRwc/wufHP8fz459XO5xuKRUrJlY2E62ApQ2l0Mt6aCSr5/H4JFuegAEuCyb34ao2QOBcxaq4vtirFszq9DrM3zofMjq2xsmQIUHCgq0LMG3ANI+dGmxsQOwAHK04isPlhzG+z3i1w3E4m1oBOXLd4axKrA4cOICAgIBOr/fGSoin08t6ZcT6gpELLBqt7Kkm9TNUrPYW78XZurNu32KnVKzcPE53lhCaAADQyTpUNFYgPjRe5Yjcn17Wo6jOsBw4LdK6VkAAmHnhTLYDkupOVP02uCLGuYMrACA6KBrhAeGoa61DQU2BshPJ0+UU5HSoVBmTIaOwthA5BTnISM9wXWBOMjBuID47+hmOVHjnAAuxRsOa3+vnTwYMDwx3Smy+xKrEauPGjUhISHBWLOQEW45tQW55LiICI3DPpfeoHY5TJYQmYETKCOw+sxtbj2/FHy/+o9ohdYmtgPbz1/orZ+tKGkqYWFmgrKEMrbpWSJBs+tm7cfCNeDz7caUdMCY4xglREnVNqVhFOb9iJXZZHSg9gPzqfK9JrETXhKNu5+68fZeVLRUrMRmwuL4YueW5+F2P3zkrPJ9hcd8Mq1Ge6Z/f/hMAcO8l9yIiMELlaJxPTAf8/PjnKkfSPQ6vcAxlgAXPWVlEPPlauhz4fBfEXsDpgKQ6kVi5omIFeOcAC0ufe7zlOUrssvLGilV9az2qm6sBWN/iLSYD8pyVY1icWHnreEpvtrtoN3ad2gU/jR/mj5qvdjguIfZZbTuxze3HrrNi5RjKyHVOBrSIshzYhjZAYeaFMwEAa39d65CYiKwlWgFdccYKMFoSXO09S4JH9xyN1IhUSDD/xrkECWkRaRjdc7SLI3MOUbEqqClAQ2uDytE4VlGtob07PCDc6jfRRTsgR647hsWJ1YoVK7inysO8/J3hbNUtQ26x+h0MT3VZymWIDY5FTUsNviv8Tu1wOtXU1qS8u+Qt7waqhZMBrSP68O35nXDjYMN0wO152zkdkFxOp9cplSNXJ1beVLHSarRYOnmp2etEsrVk8hKvGFwBALEhsYgNjgUAHK04qnI0jmXrQCLAaJcVB1g4hMWJ1Z133onAwEBnxkIOlFeVh/WH1gMwjFj3FVqNVhli8fkx920HLK4vBgAE+QUhMpBvWNhDVKzE3yl1TalYWbnDytgFsRdgeOJwtgOSKgprC9Gub0eANgA9wl2zj8gbEysAyByUifUz1yPE33Tic2pEKtbPXO81e6wE40XB3sSexIoj1x2Ls4m91Gvfvwa9rMfEvhMxLHGY2uG41JR+hnbALcfdd5+VaANMCkvi+UU7sRXQOo6oWAHndlqxHZBcTZyvSo9Kd1k1xVsTK8CQXF0YZ3hxPX/kfGTfmY28+Xlel1QB3jvAQpkIaMMbZmLk+qmaU6hvrXdoXL6IiZUXqmyqxDu/vAMA+OsVf1U5Gteb1G8SJEjYV7JP6Tt2N9xh5TjK8AomVhax551NY8btgBWNFXbHRWQpZXBFtGsGVwBA7yjDkuCShhI0tTW57HFdQS/rkVueCwCYc+kcZKRneE373/m8dYCFPb/XxWRAAMgty3VoXL6IiZUXWrZ7GRrbGnFR0kUY39v7luB1Jy4kDiN6jAAAbD2+VeVozOMOK8fhGSvrOKIVEGA7IKnnRKVrB1cAQFRQlDIU4FTNKZc9risU1BSgoa0BAdoA9Ivpp3Y4TuWtFSt73zBTBljwnJXdbEqsqqur8f/+3//DokWLUFlpOLj8888/o6jIPasDvqS5vRlv/PgGAOChyx/y2TYzd28HZMXKcXjGynJ6We+wihVwrh1w3aF1dt8XkaVOVv+2w8qFiZXYZQV4XzvgwdKDAAzVHFtWMHgSsYPsSPkR6GW9ytE4jr2/15UBFpwMaDerE6v9+/fjggsuwIsvvoiXX34Z1dXVAICsrCwsWrTI0fGRlVbuX4mShhKkRqRi5uCZaoejmmv6G/ZZbTu5DW26NpWj6UgkAUys7CcqVqUNpV71ROkM5Y3lynLglPAUu++P7YCkBlGxcmUrIOC956zEi2lx1sab9Y7qDX+NP5ram5RkxBs4qmJ1qJwDLOxldWL1l7/8BbNnz8axY8cQFBSkXD5lyhR89dVXDg2OrKOX9Xjlu1cAAAtGLvD6d566clnKZYgLiUNtSy2+LfxW7XA6YCug4ySEJgAAdLKOo7+7Ye9y4POxHZDUIM5YubJiBQDpkekADFN3vcnBMkPFakj8EJUjcT5/rb/S7ugt7YCNbY2oaDK8sWXrfkJWrBzH6sRq9+7dmDNnTofLe/TogeJituKo6fNjn+Nw+WFEBEbgnkvvUTscVWkkDSb3mwzAPdsBuRzYcQK0AYgJjgHAc1bdKaxxzERAY6IyznZAcoWqpipUNVcBUCGxEhWrmnyXPq6z+VLFCjBtB/QGYkhXqH+ozetbRMWKkwHtZ3ViFRgYiNra2g6XHz16FPHx8Q4Jimzzz2//CcAw1cfazdve6Jp+hnZAd9xnpZyxYsXKIThy3TKOPF8liHNWX578ku2A5HSiWpUYmojQgFCXPrY3tgLq9DplIuCQBO+vWAHAwFjvGmBh/Hvd1nP1sSGxyvMoJwPax+rEaurUqXjmmWfQ1mY4tyJJEgoKCvDII4/ghhtucHiAZJkfi37EV6e+gp/GD/NHzlc7HLcwqa9h7PqB0gNu1Uvdrm9HaUMpAFasHEWcs+IAi67Zs+ukM/1j+2N44nDoZB3bAcnp1GoDBLwzsTpZdRLN7c0I8gtSRsp7O1GxOlzhfYmVPUTFkouC7WN1YvXKK6+gvr4eCQkJaGpqwtixY9GvXz+Eh4fj+eefd0aMZIGXv30ZADBr6Cz0iHDNJnp3FxsSi5GpIwEAW465Tzvg2bqzkCFDgoRfy36FTq9TOySPp1Ss2ArYJWdUrAC2A9pCp9dhZ/5OfHTgI+zM38nfAxY6UfXb4IoY1w6uAM4lVqUNpWhsa3T54zuDGK89KG6Q1+6uOp8Yue4trYCO+r0ulkRz5Lp9rE6sIiMjsW3bNnz22Wd4/fXXMW/ePHz++efYtWsXQkNdW5Yng5NVJ7EhdwMAw4h1Oke0A7rLOaus3Cxc9p/LAAAyZIz/YDzSl6YjKzdL5cg8G5cEW0bZYWXjAefOsB3QOlm5WUhfmo5x74/DrKxZGPf+OP4esJBSsYpyfcUqOjhaOcNyqto7dlmJ81W+0gYInFsSXFRXhLqWOpWjsZ+jK1ZMrOxj84Lgq666Cn/+85/x8MMPY8KECY6Miaz02nevQS/rManvJAxNHKp2OG5lSn/DPqsvT36JVl2rqrFk5WZhxtoZShugUFRbhBlrZ/BFlR14xsoyohXQ0RWr/rH9cVHSRWwHtID4PXB+ezJ/D1hGJFZqVKwA72sHFBMBxVQ4XxAdHK1Mkz1acVTlaOznqBZvZeQ6WwHt4mftJ7z++utmL5ckCUFBQejXrx/GjBkDrdY3Sspqq2iswLt73wUA/PWKv6ocjfu5JPkSJIQmoLShFN8UfINxvcepEodOr8P8rfMhQ+5wnWgLXLB1AaYNmOYz7RiOJM5YsRWwc7IsO60VEDBUrfYW78XaQ2tx9yV3O/z+vQF/D9hPtAKqccYKMCRW+0r2eU1i5WsTAYWBcQNR2lCKw+WHcWnKpWqHYxeHVax+S67zq/NR31qPsIAwu2PzRVYnVq+99hrKysrQ2NiI6OhoAEBVVRVCQkIQFhaG0tJS9OnTB9nZ2UhLc2y7CXW07KdlaGxrxEVJF+Hq3lerHY7b0UgaTOo7CR/u/xBbjm9RLbHKKcjpcoCGDBmFtYXIKchBRnqG6wLzEqJixeEVnXP0cuDz3Xjhjfjbjr9h+0nDsuDYkFiHP4an4+8B+7Tp2lBQUwBA3cQK8I6KVZuuTZmM50utgIChHfCrU195xWRARyVWYjJgSUMJDpcfxmUplzkiPJ9jdSvgP/7xD4wYMQLHjh1DRUUFKioqcPToUYwcORJLly5FQUEBkpKSsHDhQmfES0aa25vxxo9vADCcrbJ1zKa3E+2Aao5dF+PVHXU7MqVUrNgK2CnRLpIYlogAbYDD75/tgN3j7wH7nKo5Bb2sR5BfkGoTVUVilVft+UuCj1ceR5u+DaH+oegZ2VPtcFxKGWBR4dkDLJrbm1HWWAbAMZ0Ioh2Qi4JtZ3Vi9fjjj+O1115D377n+pv79euHl19+GYsWLUJqaipeeuklfPPNNw4NlDr6cN+HKG0oRVpEmjKVizqa2HciNJIGv5b9qixIdTVL91Vxr5VtxPCK0oZS6GW9ytG4J2e2AQpiiMXaQ2ud9hiejL8H7GM8al2tNxK9qWIlhhQMThgMjWTzkXuPJAZYeHrF6kzdGQBAkF8QYoJj7L4/0Q7IARa2s/pf0tmzZ9He3t7h8vb2dhQXG9pwUlJSUFfn+ZNW3Jle1uOV714BACwYtQD+Wn+VI3JfMcExGJU6CoB60wFH9xyNhJCETq+XICEtIg2je452YVTeQxxEbte3o6qpSuVo3JMyEdCBO6zOJxIr0Q5Ipkb3HG1Y4gnzSQF/D3RNGVwRrc7gCsC7EquDpb43uEIQFatjlcc8etWBI5YDG+MAC/tZnViNGzcOc+bMwS+//KJc9ssvv+C+++7D1VcbzvgcOHAAvXv7xqI5tWw+uhlHKo4gMjAS91xyj9rhuD0xdl2tdkCNpEFcaJzZ68SLrCWTl/DAuo0CtAGIDjKc+WQ7oHmiWuvMihXbAbum1WixdPLSLm/D3wOdO1Gp7uAK4FxiVdZYhobWBtXicASlYuWDiVV6VDoCtAFobm9Wzu15IvF73VFvmHHkuv2sTqzeeecdxMTE4NJLL0VgYCACAwNx2WWXISYmBu+88w4AICwsDK+88orDg6VzxELgOZfOQXhguMrRuD+RWG3P267K2PUtx7fgUNkh+Gv8O5wNSI1IxfqZ65E5KNPlcXkTcc6KAyzMO13n/FZAgO2A3ckclImnMp7qcHlYQBh/D3TjZPW5VkC1RAVFndtlVePZu6x8cYeVoNVo0T+mPwDPbgd0dIu38WRAT3/jQC1WJ1ZJSUnYtm0bDh06hHXr1mHdunU4dOgQ/ve//yEx0fDCZty4cZg4caLDgyWDH07/gJyCHPhr/PHAyAfUDscjXJx8MRJDE1HfWo+vC7526WPrZT0WbV8EwNC2WbiwENl3ZmN15mpk35mNvPl5fDHlAMouK45cN8vR72x2hu2A3fPXGFq3M9Iz8JdRfwEARAVG4fqB16sZltsTFSs1WwEBoHe0oSPHk9sBW9pblB1OvjZqXfCGARaOTqxiQ2KV1vrc8lyH3Kevsfm04sCBAzF16lRMnToVAwYMcGRM1I2XvzNUq2YNnYUeET1UjsYzaCQNJvebDMD17YAfHfgI+0v2IzIwEo9e9Si0Gi0y0jNwy9BbkJGewbYfBxEDLNgKaJ4rhlcApu2AGw9vdOpjearvTn8HAJg2YBqeu/o5hPqH4nTdaew+s1vlyNyXLMsmwyvU5A3nrI5WHIVO1iEiMAI9wn3zdYQ3DLBwRieCqFrxnJVtbEqsTp8+jTfffBOPPvoo/vKXv5h8kHOdqDyBrNwsAMBDVzykcjSeRbQDunKARauuFX/P/jsA4JErH3HI1B4yjxWrzhkvB06LdP5+wZkXGqaUrju0zumP5WlkWcb3p78HAIxKHYVg/2Bce8G1AIANhzaoGZpbq2iqQF2rYSiWqBipJT0yHYBnJ1ZicMWQhCE+u6qFFSvzOHLdPlYnVtu3b8eAAQOwbNkyvPLKK8jOzsaKFSvw7rvvYu/evU4IkYy99v1r0Mt6TO432Sf7ou0hxq4fKjuEU9Wu6Y1/e8/byKvOQ3JYMuaPmu+Sx/RV3GXVufLGcrToWgDAKcuBz3fjYLYDduZk1UmUNZYhQBuAi5MuBgDcMOgGAMCG3A2QZVnN8NyWaAPsEd4DQX5BqsbiDRUrXx5cIYjEypMrVs4YSsSR6/axOrFatGgRHnroIRw4cABBQUHYsGEDCgsLMXbsWNx4441W3dfixYsxYsQIhIeHIyEhAdOnT8eRI6bvHMyZMwd9+/ZFcHAw4uPjMW3aNBw+3PU/AlmW8cQTTyA5ORnBwcGYMGECjh07Zu2X6nYqGivw7i/vAjAsBCbrRAdH4/LUywG4pmpV31qPZ796FgDwxNgnEOIf4vTH9GWiYsXhFR2JdzUTQ52zHPh8/WL6sR2wE6JadUnyJQj0CwRgWGIe5BeEE1UnsL9kv5rhuS13aQMEvGNJsHjR7Mtv0A6IM7QCFtcXo6a5RuVorNeqa1XeSHTk2VmOXLeP1YlVbm4u7rjjDgCAn58fmpqaEBYWhmeeeQYvvviiVfe1a9cuzJ07F99//z22bduGtrY2TJw4EQ0N5yaRXHrppVixYgVyc3PxxRdfQJZlTJw4ETpd53sHXnrpJbz++utYvnw5fvjhB4SGhmLSpElobm629st1K2/ufhNN7U24OOliXN37arXD8UiubAd89btXUdpQiv4x/XH3xXc7/fF8HStWnXNlG6DAdkDzxPkq8SYPYJgIKM6Arj+0XpW43N2Jqt8GV8SoO7gC8I6KlS/vsBIiAiOUKb2e2A4olgMHaAMQF2J+nYstxDCTvOo8Tga0gdWJVWhoKFpbDeOqk5OTceLECeW68vJyq+5r69atmD17NgYPHozhw4fjvffeQ0FBAfbs2aPc5t5778WYMWOQnp6OSy65BM899xwKCwuRn59v9j5lWcaSJUvw+OOPY9q0aRg2bBg++OADnDlzBps2bbL2y3Ubze3NeOPHNwAYzlb5ak+0vab0nwLA0KLU0t7itMcpayjDP7/9JwDguauf4wJnF1CGV/CMVQeFtc7fYXU+0Q745Ykv8faet7Ezf6dHL+J0FOPzVcaM2wGpI6ViFaV+xapXVC8Ahhbb+tZ6laOxXlNbk9Ja6asTAQVRtfLEdkBHLwcW4kLilMmAnvj3ojarE6tRo0bh668N46qnTJmCBx98EM8//zzuuusujBo1qpvP7lpNjaEUGxNj/oB/Q0MDVqxYgd69eyMtzfw7r3l5eSguLsaECROUyyIjIzFy5Eh89913Zj+npaUFtbW1Jh/u5oN9H6CssQw9I3sq44zJehclXYSksCQ0tDUgpyDHaY/zj5x/oL61HpckX4IZF85w2uPQOaIVsLShlOdUzqM8AYe7LrHaX7If/hp/6KHHnM1zMO79cUhfmq4M3/FFjW2N2FeyD4BpxQoA/nDBH+Cv8UdueS5bcMwQiZU7VKyigqIQFRQFAC47r+tIh8sPQ4aM2OBY5femrxoY+9sAi3LPq1g5c9KrMsCC56ysZnVi9eqrr2LkyJEAgKeffhrjx4/Hxx9/jPT0dGVBsC30ej0WLFiAK6+8EkOGmPb8vvnmmwgLC0NYWBi2bNmCbdu2ISDA/DmB4mLD+QqxU0tITExUrjvf4sWLERkZqXx0lrS5mk6vw878nVh1YJVyVmfByAWsfthBkqRz7YDHnNMOeKr6FN786U0AwAvjX4BGsnmrAVlBvMPWpm9DVXOVytG4F1GxclUrYFZuFmasnYE2fZvJ5UW1RZixdobPJlc/nfkJ7fp2pISndHgxFBUUhd/3/T0ATgc0R7QCusMZK8Cz2wGVNsCEwT7f/aIMsKjwvMqMMxMrZYAFJwNazapXfDqdDqdPn0bPnj0BGNoCly9fjv3792PDhg3o1auXzYHMnTsXBw8exJo1azpcd+utt+KXX37Brl27cMEFF2DmzJkOPS+1aNEi1NTUKB+FhYUOu29bZeVmIX1pOsa9Pw63Zd2G07WnIUFSXjyS7URi9flx5+yzemLnE2jVtWJ87/HKCyVyvkC/QOVdZA6wMOWqHVaA4Q2h+VvnQ0bHqqG4bMHWBT7ZFijaAC9PvdzsC1q2A5rX3N6MotoiAEysHEEZXBHvu4MrBE9uBXTm0ndlgEU5q+fWsiqx0mq1mDhxIqqqHPtu8Lx587B582ZkZ2cjNbXjE39kZCT69++PMWPGYP369Th8+DA2bjQ/aSop6bdzFiWm5yxKSkqU684XGBiIiIgIkw81iXd7xYshQYaM2zfe7rPv9jrK7/v+HlpJi8Plh5FX5dipTgdLD+LDfR8CABaPX+zQ+6bucZeVea5MrHIKcjr87jImQ0ZhbaFTW3HdlbnBFcamDZgGraTFvpJ9yhkYMiQvMmSEBYQhPiRe7XAAAL2jDLu0PDGxMq5Y+TpRsTpeeRzt+naVo7GOM5YDC6xY2c7qHqUhQ4bg5MmTDnlwWZYxb948bNy4ETt27EDv3t0v/ZNlGbIso6XF/OCB3r17IykpCdu3b1cuq62txQ8//IDLLzf/ZOZOunq3V/DVd3sdJSooClekXQHA8dMBH9v+GGTImHHhDIzoMcKh903dUwZYcDKgwmQ5sBPe2Tzf2bqzDr2dtzh/MbA5sSGxGNd7HABWrYwZj1p3l9Y1pWJVk69qHLbgDqtzekb2RJBfEFp1rR6XJDu1FfC3pDu/Op+TAa1kdWL13HPP4aGHHsLmzZtx9uxZu4Y+zJ07FytXrsTq1asRHh6O4uJiFBcXo6mpCQBw8uRJLF68GHv27EFBQQG+/fZb3HjjjQgODsaUKVOU+xk4cKBSwZIkCQsWLMBzzz2HTz/9FAcOHMAdd9yBlJQUTJ8+3dov1+X4bq9rOGPs+tcFX+Ozo59BK2nx3LjnHHa/ZDll5DorVoqKpgo0txtap12xHDg5PNmi2xXUFDg5EvdyquYUiuuL4a/xxyXJl3R6O9EOyLHr5yiDK6LVH1wheGorYH1rvRIzK1aARtLggtgLAHjeAAtnJlZxIXGID4mHDNkj2yTVZHViNWXKFOzbtw9Tp05FamoqoqOjER0djaioKERHR1t1X8uWLUNNTQ0yMjKQnJysfHz88ccAgKCgIOTk5GDKlCno168fbrrpJoSHh+Pbb79FQsK5s0ZHjhxRJgoCwMMPP4z7778f9957L0aMGIH6+nps3boVQUHqbmu3BN/tdY1r+hsSqx15O5QXnfaQZRmPfvkoAOCui+9S+rbJtbgkuCPj5cBiIa0zje452jD+F11XFh7d/iimr5nu8HZcdyWqVRclXYRg/+BObzd94HRIkLD7zG6fSz47I9oi3eV8FWC0JNjDfn7FxMnE0ESH7j7yZMoACw9KINp0bcrrQGe1eIvEm5MBreNn7SdkZ2c77MG7G4mckpKCzz/vfsDA+fcjSRKeeeYZPPPMM3bFpwZL3+219HZk3vDE4UgOS8bZ+rP46tRXmNh3ol33999j/8U3hd8gyC8IT4590kFRkrWUM1ZsBVSIA86u2mGl1WixdPJSzFg7AxIkk7ZmkWxdd8F1+Pz45/jkyCf44sQXeOTKR/DIlY90mXB4uu8Kuz5fJSSFJeGqnlchpyAHWblZWDBqgQuic28nq8+1ArqLXpGGYV0VTRWoa6lDeGC4yhFZRpyZYbXqnAGxnjfAori+GDJk+Gv8nTbU7MK4C7EzfyfXP1jJ6orV2LFju/wg+3T3bq8ECWkRaRjdc7SLI/Mujhy7rtPrsGj7IgDA/JHz0SOih93xkW2UVkAmVgpXDq4QMgdlYv3M9R3+LaRGpGL9zPX45JZPsO9P+3B176vR3N6Mp3c9jQvfvBCfHP7Ea3eQicEVnZ2vMiZ237Ed0EBUrNypFTAyKBLRQYYunVM1nrPLihMBOxIVqyMVntMKKFZo9Ijo4bSVLqxY2cam70ZOTg5uu+02XHHFFSgqMoxA/fDDD5XFwWQ78W4vgA7JlfjzkslLoNVoXR6bt5nS33BOz96x66sPrMbB0oOICorCI1c+4ojQyEbK8AqesVK4cnCFscxBmcifn4/sO7OxOnM1su/MRt78PGQOygRgGOf75e1fYu2MtUiNSEV+dT6mfzwd166+Fscqjrk0VmdramvCL8W/AAAuT+t+iJL4O/q28Fufb/uWZdlkeIU78cRzVpwI2JEnVqxc8YaZGG7CipV1rE6sNmzYgEmTJiE4OBg///yzMp2vpqYG//jHPxweoC/q7t1e8aRL9pnQZwL8NH44WnFUeeK2Vkt7C/6e/XcAwKNXPoroYOvOGZJjsRWwI/HOpisrVoJWo0VGegZuGXoLMtIzOrwhJEkSbhx8I3Ln5mLRVYvgr/HHluNbMGTZEPxt+9+8ZhrVz2d/Rru+HUlhSUoLWVdSI1IxssdIyJCx8bD51SJqEsvrPzrwEXbm73TqlNqShhI0tTdBI2nQK8r2XZnO4ImJlVKxSmDFShBnossay1DZVKlyNJZxRWIldlnlVeWhsa3RaY/jbWyaCrh8+XL85z//gb+/v3L5lVdeiZ9//tmhwfmy7t7tJftFBkWeG7tuYzvg8p+W41TNKaSEp+D+kfc7MjyygfFUQG9tKbOWGq2A1goLCMM/xv8DB/98EJP6TkKrrhX/+PofGPjvgVj36zqP/14aj1m3dFy4aAd0t7HrxsvrZ2XNwrj3xyF9abrT9iuKNsC0iDQEaAOc8hi28rTEqrq5Wvl9IF40k+H3j/j96CmTAZXf6+HO+70eHxrPyYA2sDqxOnLkCMaMGdPh8sjISFRXVzsiJvpNd+/2kv2m9LO9HbCupQ7P5RjGqj859kmE+Ic4NDaynjjE26ZvQ1WzYxeZeypRsUqLdG0roC0uiL0AW27dgk03bUJ6VDpO157GzPUz8fsPf4/csly1w7NZd4uBzRFj13fm70RZQ5lT4rJWZ8vri2qLMGPtDKckV+7aBgh43pJg0dLVI7wHooKi1A3GzXhaO6Cr3jATCTgXBVvO6sQqKSkJx48f73D5119/jT593O8XH1FXxNj17Lxsq8euv/LdKyhvLMcFsRfgrovvckZ4ZKUgvyDlBQPPWZkuB3bnipUxSZIwbeA0HPrzITw59kkEagOxPW87hi0fhr/+76+oa6lTbuvKljR7dLcY2Jze0b1xcdLF0Mt6fHLkE2eFZrGulteLy5yxvP5ElfsNrhA8rWIlXhyzDbAjTxtg4aoWb3HOigMsLGd1YnXPPfdg/vz5+OGHHyBJEs6cOYNVq1bhoYcewn333eeMGImcZmjCUPQI74Gm9ibsyt9l8eeVNpTile9eAQA8f/Xz8NNYvbmAnITnrM6pbKpU3jDoEe5Z0yqD/YPxVMZTODT3EKYOmIp2fTte/u5lDPjXAKzavwobDm1waUuarQprClFUVwStpMVlKZdZ9bnu1A6o1vJ6d65YKbusqj1jl5UyuCKegyvO56kVK2d3IoiKFQdYWM7qxOrRRx/FrFmzMH78eNTX12PMmDH4v//7P8yZMwf3388zJuRZjMeuf37M8nbA5796HvWt9bgs5TKlZYfcg/E5K18n3tVMCE1wyXJgZ+gT3Qef3PwJ/jvrv+gb3Rdn68/ito23YcY617ak2Uq0AQ5PGm51u7D43fLlyS9R1aRua6tay+tFYtU3xv0qVmKYRmVTJWpbalWOpnui6sCJgB15UsWqXd/u9OXAAkeuW8/qxEqSJPztb39DZWUlDh48iO+//x5lZWV49tlnnREfkdOJdsAtxy0bYJFXlYdlPy0DALww/gWLD6OTa4iKVXF9scqRqM/T2gC7MqX/FBz880E8O67z5xpntqTZSrQBWnO+ShgQNwCD4wejXd+Oz45+5ujQrKLW8nrRCuiOFauIwAjEBMcAAE5Vu/8uK04E7JxIrI5XHkebrk3laLpWUl8CnayDVtIqz3fOIqqbnAxoOasTq5UrV6KxsREBAQG48MIL8bvf/Q5hYWHOiI3IJcTY9WOVx3C8suP5wfM9sfMJtOnb8Ps+v8f4PuNdECFZg62A56i1w8pZgvyCcFXPq7q8jbNa0mxly+AKY6JqpXY74Oieo7udQBYVFOXQ5fWNbY3KGyTumFgBnnPOqqKxQvm75ETAjnpE9ECIfwja9e1u39opfq+nhKc4fahZfGg84kLiOBnQClYnVgsXLkRCQgJmzZqFzz//HDqde7wrSGSriMAI5cVad2PX95fsx6r9qwAAi8cvdnpsZD0uCT6nsEa9HVbOolZLmi1a2lvw81nDGhJrBlcYE+esvjj+hcngDlfTarSYOmBql7epbq7G6z+87rDHzKsyvMCNCopSKkPuxlMSK1GtSo9KR1gA3ww/n0bSeMw5K1d3IigDLDgZ0CJWJ1Znz57FmjVrIEkSZs6cieTkZMydOxfffvutM+Ijcglxzqq7dsDHtj8GGTJmDp6JS1MudUVoZCXljBUrVjhd5z2tgIJaLWm2+KX4F7TqWhEfEm9zxWVIwhD0j+mPFl0L/nvsvw6O0HIt7S3YfGwzACAyMNLkurSINGQONOxY/Mv//oIXvn7BIY/pzm2AQnpkOgD3T6w4uKJ7YlGwuydWrl76zgEW1rE6sfLz88Mf/vAHrFq1CqWlpXjttdeQn5+PcePGoW9f9ztcSmSJKf0N+6yy87PR1NZk9jY5p3Lw32P/hVbS4rlxz7kyPLICWwHP8bZWQOC3lrSIVEgwf7ZRgoS0iDSHtqTZypbFwOeTJMkt2gH/8/N/UFBTgJTwFJxeeLrD8vr1M9fjqbFPAQAWbV+EZ3Y9Y/djKoMr3HDUuqBUrGryVY2jO6LawMSqcwNjfxtg4eZLgl39e50j161jdWJlLCQkBJMmTcI111yD/v37Iz8/30FhEbnW4PjBSI1IRXN7M3bm7+xwvSzLeHT7owCA/7vk/9A/tr+LIyRLiYoVh1d4ZyugVqPF0slLAaBDciX+vGTyErdYqG7v+SpBtAN+fuxzVQ6QN7Y14vmc5wEAj49+HGGBYR2W10uShCcznsQ/rv4HAODJnU/i8R2PQ5Y77r2y1IlK969Y9Y72jCXBHFzRPTHA4nCFe1esXN4K+NtkQFasLGNTYtXY2IhVq1ZhypQp6NGjB5YsWYLrr78ev/7KbJY8k/HYdXPtgJ8d/QzfFn6LYL9gPDH2CVeHR1YQFavShlK7XtR5Ok9cDmypzEGZWD9zPXpEmO7migyKxPqZ65E5KFOlyEx9V2hIrGw9XyVcknwJ0qPS0djWiK3HtzoiNKv8+8d/o7i+GOlR6bj7kru7vO2i0Yvw8u9fBgA8n/M8HvnyEZv/HZ6sdt8dVoInnLGSZflcKyBHrXdKtAJ6SsXK1a2AJ6tOcjKgBaxOrG6++WYkJCRg4cKF6NOnD3bu3Injx4/j2WefxcCBA50RI5FLiHbA8/dZ6fQ6PLb9MQDAglELkBKe4vLYyHKiYtWqa0V1c7W6waiosqkSTe2GttbzExBvkDkoE/nz85F9ZzZuHXorAODipIvdJqkqqi1CYW0hNJIGI3qMsOu+JElSzjC5uh2wtqUWL3xjODP15NgnEaAN6PZzHrziQbw+2TDE4p/f/hMLv1hoU3LlCa2AvSLdf5dVaUMpKpoqIEFSqjLU0QWxFwAAKpoqUN5YrnI0nXN1YpUQmqBMBnT3pNMdWJ1YabVarF27FmfPnsW//vUvXH75uRaHgwcPOjQ4Ilca33s8/DX+OFF1AscqjimXr9y/Er+W/YrooGg8fOXDKkZIlgjyC1IO1/vyOSvx5BsfEo8gvyCVo3EOrUaLjPQMPJ3xNADgq1Nfqb5IVxDnq4YlDnPIFLYbLjScs/rsyGdoaW+x+/4steT7JahsqsSA2AG4bdhtFn/e/SPvx/JrlwMAlv6wFHM/nwu9rLf48/WyXpkK6M4Vq/DAcMQGxwJw36qVaAPsG9PX6iXVviTEPwQ9I3sCcN8BFnpZj6K6IgCu7UQQVSues+qe1YmVaAHUag3963V1dXj77bfxu9/9DsOHD3d4gESuEh4YroxdF1Wr5vZmPLHT0Pq36KpFiAqKUis8soIyGdCHR64rB5wjvWdwRWf6xvTF4PjB0Mm6DhVntSiDK3rY1wYojEodhZTwFNS11mHbyW0Ouc/uVDZV4pXvXgEAPDPuGfhp/Kz6/DmXzcG7U9+FBAnLflqGez+71+LFzWfqzqBF1wI/jZ/b/wy7ezsgJwJaTlT03LUyU1JfgnZ9OzSSxqWTTzly3XI2D6/46quvcOeddyI5ORkvv/wyrr76anz//feOjI3I5UQ7oDhntWz3MhTUFKBHeA/M+908NUMjK4hzVr48wMLVI3nVNm3ANADAJ0c+UTkSA2VwRZp9gysEjaRxeTvgP7/5J2pbajE8cbgyQMNaf7z4j/jg+g+gkTR455d38MdP/mhRciUGV/SK7GV1Qudq7p5YiRfDHFzRPTEZ0F0rVuINs+SwZJf+uxCJ1aFyDrDojlWJVXFxMV544QX0798fN954IyIiItDS0oJNmzbhhRdewIgR9vWRE6lNDLDYkbcDy3Yvw1M7nwIAPJXxFIL9g1WMjKzBXVZGffjhPpJYDTQkVluOb3Fpq5w5rbpW7Dm7B4D9gyuMiXbATw5/gjZdm8Pu15zi+mK8/qPhnNSz456FRrJ9iPBtw27D6szV0EpafLj/Q9y28bZu4xfnq9y5DVBw98TqYBkrVpZSBlhUuGfFSq2BREorICtW3bL4N+V1112HAQMGYP/+/ViyZAnOnDmDN954w5mxEbnc4fLD0EpatOnb8OfP/4za1lr4afw6LMQk95YUmgSArYCAb7QCAsBlKZchOSwZ9a31yM7PVjWWfcX70NzejJjgGPSPcdxqhtE9RyM+JB5VzVVm10I40uKcxWhsa8TIHiPxhwv+YPf93TTkJqy7cR38Nf5Yc3ANbtlwC1p1rZ3e3hMGVwjunFjJsnxuhxUnAnZLGbnu5hUrVydW4mfnZNXJTnd9koHFidWWLVtw99134+mnn8a1116rnLEi8hZZuVm4cd2N0MmmbSrt+nbctP4mZOVmqRQZWYsVK99rBdRIGkwdMBUAsOnwJlVjEW2A9iwGNker0eL6gdcDANYfWu+w+z1fYU0hlu8xDJ547urnHPY1XD/oemTdlIUAbQA25G7AjLUzOq0unqhy/x1WgjsnVmfqzqCmpQZaSYsBsQPUDsftib+jk1Unu0z81aJWYhUfEo/Y4FjIkN026XQXFidWX3/9Nerq6nDppZdi5MiR+Ne//oXycvcdR0lkDZ1eh/lb50NG5yOBF2xdYPHBa1KXOGPly4mVt+6w6oo4Z/XpkU+tmkDnaGJwhb2Lgc0R7YCbjmxy2u+jZ796Fq26VmSkZ2B87/EOve8/XPAHfHrzpwjyC8JnRz/D9I+nm30HXKlYxbh/xap3lPsuCRaDK/rH9kegX6DK0bi/lPAUhAWEQSfrlHN+7uR0nTq/1yVJUqpWnAzYNYsTq1GjRuE///kPzp49izlz5mDNmjVISUmBXq/Htm3bUFdX58w4iZwqpyBHeSFqjgwZhbWFyCnIcWFUZCtRsfLV4RWyLKOwxlCxSovwjVZAALi699UICwjD2fqz+OnMT6rFYVyxcrRx6eMQHRSN0oZSfF3wtcPv/3jlcbz7y7sAgOfGOa5aZWxSv0nYfMtmBPsFY+vxrZi6ZmqHxaOeVLHqFWXYZVXVXIWa5hqVozElXgTzfJVlJEly63ZANX+vXxhnOGd1qIwDLLpi9WnU0NBQ3HXXXfj6669x4MABPPjgg3jhhReQkJCAqVOnOiNGIqc7W3fWobcjdSkVKx89Y1XVXOXVy4E7E+gXiMn9JgMwDHhQQ3F9MfKr8yFBwu96/M7h9++v9VcGdTijHfDpXU9DJ+twTb9rcGXPKx1+/8L4PuOx9batCPUPxZcnv8SUVVNQ31oPnV6H/x79r7KgVSzgdWdhAWGIC4kD4H5VK04EtJ5oB3THARZqdiKwYmUZ28f8ABgwYABeeuklnD59Gh999JGjYiJyOUv3QbhybwTZLinst+EVDSWQ5c7bO72VePKNC4nz2uXAnVF77LpoAxySMAQRgRFOeYwbBhnaAbMOZzm05fHX0l+xav8qAIZJgM42ptcY/O/2/yEiMAK7Tu3CiLdHoOeSnvjDR+eGZQxbPswjzre66zkrTgS0nrtWrNRaDiwoI9dZseqSXYmVoNVqMX36dHz66aeOuDsilxvdczRSI1IhwXzbiwQJaRFpGN1ztIsjI1uIVsBWXStqWtyrNccVfLENUJjSfwq0kha/lv2qyhkJZTGwE9oAhd/3+T3CA8Jxpu4Mfjj9g8Pu94mdT0CGjMxBmbg05VKH3W9Xrki7Attu34YQ/xAcrjiMM3VnTK4vqi3CjLUz3D65csfESi/rlRfBrFhZTlSs3C2xKm8sR6uuFRIkVd7kFSPXT1Se4GTALjgksSLydFqNFksnLwWADsmV+POSyUug1XAapicI8gtSqgW+eM7KFwdXCDHBMRjTawwAdapWymJgJwyuEAL9AnHdgOsAOG5Z8J4ze5CVmwUJEp7JeMYh92mpS5MvRVhAmNnrxEAhdx8elB6ZDsC9EquCmgLUt9bDX+OPfjH91A7HY4iK1ZGKI27V8SB+ryeGJSJAG+Dyx08ITeBkQAswsSL6TeagTKyfub7DmZTUiFSsn7kemYMyVYqMbOHL56yUHVY+WLEC1GsHbNO1YXfRbgDOrVgB59oB1x9a75AXf3/P/jsA4NZht7p831FOQQ5KG0o7vd4ThgcpFauafFXjMCbOVw2IGwB/rb/K0XiO/rH9IUFCdXN1lz+XriY6EdR6w0ySJKVqxXbAzjGxIjKSOSgT+fPzkX1nNlZnrkb2ndnIm5/HpMoDGZ+z8jW+tsPqfGK4w9cFXytDEFzhQOkBNLU3ISooCgPinLszaHK/yQjxD8GpmlP4+ezPdt3XNwXfYMvxLdBKWjw59kkHRWg5bxge5I6tgGLIANsArRPkF6R8P91pgIU7vGEmzllxgEXnmFgRnUer0SIjPQO3DL0FGekZbP/zUMqSYB+uWPlqYpUelY7hicOhl/X479H/uuxxvys0tAGO7DESGsm5T68h/iGY0n8KAPvaAWVZxuPZjwMA7rr4LlVaxrxheJA7JlZihxUHV1jPHQdYuMPvdVHNZsWqc0ysiMgr+fKSYOWdzUjfbAUE1GkH/L7IeYuBzXFEO+D2vO3Ymb8TAdoA/H3M3x0ZnsW8YXiQSKyqm6tR3VytaiwCd1jZzh0HWKi1HNiYaAVkxapzTKyIyCuJxMrXhlfIsuzzrYDAuXbAL0584bIJVqJidXmaaxKra/tfi0BtII5VHlOqE9aQZRmP7zBUq/506Z9US8S9YXhQaEAo4kPiAbhH1Uqn1yG3LBcAWwFtYTzAwl24RcXqtyT9ZNVJTgbsBBMrIvJKSiugj1Wsqpur0djWCADoEe47y4HPd3HSxUiLSENjWyO25213+uOVNZThRJVhvLszFgObEx4Yjkn9JgGwrR1w89HN+KHoB4T4h+Cx0Y85OjyreMPwIHdqB8yrzkNTexOC/ILQJ7qP2uF4HLYCmpcQmoCY4BjoZb1bJZ3uhIkVEXklZXiFj52xEtWquJA4BPsHqxyNeiRJwtQBUwEAnxx2fjug2F91YfyFiAqKcvrjCaId0NrESi/rlbNVD/zuAeWNCDV5+vAgd0qsxETAQXGD3LrS567E8Jn86nw0tzerHI2huuwOiZUkSecGWJSyHdAcJlZE5JV89YyVOzz5ugtxzuqzo59BL+ud+lhif9WoHs4ds36+6y64Dn4aPxwsPYgj5Za/g7z+0HrsL9mPiMAI/PXKvzoxQut48vAgd0qslMEVLh6d7y0SQxMRGRgJvazH8crjaoeDiqYKJcFTuxNBJFYcYGEeEysi8krGUwHdacmjszGxOmds+lhEBEagpKEEP5z+wamPJSpWrjpfJUQHR2N87/EALK9atevb8UT2EwCABy9/EDHBMU6Lz5e4U2LFwRX2kSRJqVq5Qzug+L2eEJqAQL9AVWPhAIuuMbEiIq8kKlYtuhbUtNSoHI3riCWSvroc2FiANkAZSe7M6YDt+nb8WPQjAOcvBjZnxoUzAFieWK3avwpHKo4gNjgWC0YtcGJkvkX8m/vl7C/Ymb8TOr1OtVi4w8p+ygALKyrBzuJOb5hx5HrXmFgRkVcK9g9GeEA4AN86Z+UOI3ndiWgH3HR4k9Me49fSX9HQ1oCIwAjl3VxXmjZgGjSSBj+f/Rknq052edtWXSue2vUUAOCRKx9BRGCECyL0flm5Wbjns3sAAAW1BRj3/jikL01HVm6Wy2Np17crVRZWrGw3MPa3ARYV7lOxcoff6+J33ImqE25x/szdMLEiIq+lDLDwoXNWyg4rVqwAANf0uwb+Gn8cqTjitHeexfkqVywGNic+NB5je40FgG5fyL/z8zvIr85HUlgS5v5urivC83pZuVmYsXZGh98zRbVFmLF2hsuTq+OVx9Gqa0WIfwh6RfVy6WN7E9EK6FYVq3D1E6vE0ERlMqA7tEm6GyZWROS1jM9Z+QrRCugO72y6g8igSGSkZwBwXjugMrhChTZAwZJ2wKa2JjyX8xwA4G+j/4YQ/xCXxObNdHod5m+dDxkdz3GKyxZsXeDStkAxrW1w/GBVEn1vYTxyXe1zuu60m1CSJKVqxXbAjvgvjoi8lq9NBnSXkbzuRrQDOiuxUgZXpLp2cIWx6wdeDwkSvj/9vfIzcL5lPy3Dmboz6BnZE/dcco+LI/ROOQU5nf59A4bkqrC2EDkFOS6LiRMBHaNvdF9oJA3qWutwtv6sqrEonQgqLfE+H0eud46JFRF5LZFYFdcXqxyJa9S01KChrQEAEytjYp/Vd4XfObx6WdFYgaMVRwEAI1NHOvS+rZEcnowr0q4AYL4dsK6lDou/XgwAeHLsk6pPFvMWZ+sse8Ft6e0cQRlcEc/BFfYI9AtUliur3Q7obm+YKSPXy1mxOh8TKyLyWr7WCijaAGODY316OfD50iLTcEnyJZAhY/PRzQ697x+KDGPcB8QOUH1seVfLgl//4XWUN5ajf0x/3DH8DleH5rWSw5MdejtHYMXKcYzbAdXijp0Iysh1Vqw6YGJFRF7L14ZXuNuTrztxVjvgd4Xqn68SbrjQkFjlnMoxeTOhqqkK//z2nwCApzOehp/GT5X4vNHonqORGpEKCZLZ6yVISItIw+ieo10ST6uuFccqjwHgREBHGBD72wCLCvUqVtXN1WhsawSg/nJg4f+3d+dxUdXrH8A/ZwaGTQZBZAdRUcC1XFPDSA0x19BsMZe0NNPCull57+1mt3vTykpbfmqbVJamhkuZkAsqGbmbWoSgIAoorgyLLM58f39wZwIBGZgzzAx83q8Xf3DmzDMPo2fOPOf7Pc9XX7SzM2BNLKyIqNlqafdY6W9wtpZ5+NZEX1htP7MdxeXFssX9Ncfy91fpBbkFoa9fXwgIbPxzo2H7OynvoKCsAN28uuGhbg9ZMMPmR6lQYln0MgCos7haGr0USoWySfI5deUUbupuQu2g5gUWGVjDiJX+c92aZiJ4u3jD3dEdOqGz+DRJa8PCioiarZY2FdCaWvJamx7ePRDcOhilN0ux/cx2WWJqdVrsP185FXBAoOULK6DmdMD84nws/XUpAOD1e19nlzgziAmPwYaJG+Cvrjma8NxdzyEmPKbJcjFMA2zbFZJUe6FHxtOPWFmysLK2xhVAZWdA/aiV/p4+qsRPWCJqtqo2r7B0u9ymwKmAdZMkSfbpgH9c+gOF5YVopWplNdOu9NMBd53ZhY8Pf4w5W+eguKIYffz6GP5+kl9MeAyyYrOQNDUJ38R8gyk9Ku9jO5x3uEnzqNpqnUynH7E6W3AWccfisDtrd5O2zges93M93DMcALD+9/UWeV+sFQsrImq29CNWZdoyaMo0Fs7G/DgV8Pb0hcUPp36Q5UuAvs16P/9+TTbVqz7HLx6HvcIeOugw64dZ2JC6AQAQ3TGaIxhmplQoERkciUe6P4L/Dv0vFJICe87uadK1fgwdAb3YEVAOe8/uNUzxfHzz47j3i3sRvCy4SRd9tsaZCPGp8Vj/+3oAwKa0TRZ5X6wVCysiarac7Z3hqnIF0DLus7LWK5vWIqJdBNwd3XG55DJ+OfeLyfEMCwP7W75xBVD5ZWfCugmo0FXUeOy/yf/ll54mFKAOwOjOowEAKw6taLLXZUdA+cSnxuPB9Q/WWPw5R5ODCesmNNnxZG2f6/rPmetl16ttb+r3xVqxsCKiZq2l3GclhDC0Ww9Uc8SqNnYKO4zsPBKAPNMBDQsDW8H9VVqdFrEJsTW+BFY1L2Eep+s0odl9ZgMAvvjtC1kbptTlRsUNnL52GgBHrEx1u+NJv62pjidrKqys6X2xViysiKhZaymdAasuDlzbTfRUqep9Vqbcd3ftxjWkXk4FAPT3t9zCwHrJ2cmGL2C1ERA4pzmH5OzkJsyqZbuv433o6N4RmjIN1pxcY/bX+/Pyn9AJHTycPAyfe9Q41nQ86ad4W0NhZez7sjNzZxNmZV1YWBFRs6YfsbpQdMHCmZiX/mTn4eQBZ3tnC2djvYZ3HA6VUoWMqxmGwqgxDuQcAACEeISgrUtbudJrtLzCPFn3I9MpJAVm9Z4FAFh+aLnZG+jo769iR0DTWcvxVG0mghXcO2vs33v/1/fjrk/vwnMJz2Hd7+tuW4zVRavTYnfWbqw5scammmNwlUAiatYMI1bNfCogpwEax9XBFUPbD8W2jG3Y/OdmdGnbpVFx9PdXWcP6VQDg6+or634kj8fvfByvJL2CI3lHcDD3IPr59zPba+k7AnIaoOms5XjSlGn+molgBYsDG/v3aoUW+3P2Y3/OfizdvxRA5YjbgIABGBAwAAMDB+JO3zuhUqpqfX58ajxiE2KrFWQB6gAsi17WpMsXNIZFR6wWLVqEvn37wtXVFV5eXhg3bhzS0v5aaOzq1at45plnEBoaCicnJwQFBeHZZ59FQUHBbeNOmzYNkiRV+4mOjjb3n0NEVsinlQ+A5j8V0Jrm4Vs7OdquGxpXBFhH44qIoAgEqAPqXKRWgoRAdSAigiKaOLOWzdPZEw92fRBA5aiVOZ289NcaVmQaazme9J/r7o7ucFG5mPW1jGHs+5I+Nx2rH1iNOX3noJdvLyglJc5rzmP9H+vx/E/P467P7oJ6kRqDPh+E+T/NR3xqvGE0TN8c49ZRLltpjmHRwmrPnj2YM2cOfv31V2zfvh0VFRWIiopCcXFldZ6bm4vc3FwsWbIEJ0+eRFxcHBISEjBjxox6Y0dHRyMvL8/ws2aN+ec3E5H1aSn3WLGwMt7o0Mpubftz9jdqKo9O6P5aGNhKRqyUCiWWRS8DgBpfevS/L41eajVt4VsSfROLtSfX4uqNq2Z7HcMaVuwIaDJrOZ6s7XPd2PclpE0IJvWYhA/v/xCHZx5GwcsFSJqahDeGvIFRnUehjVMblGnL8Mu5X7AkZQnGrxsPv3f9ELw0GI/FP2bTzTEsWlglJCRg2rRp6Nq1K3r27Im4uDhkZ2fj8OHKBfW6deuG7777DqNHj0bHjh0xZMgQ/Pe//8X333+Pmzdv3ja2g4MDfHx8DD/u7u5N8ScRkZVpKfdYGdaw4lTAevm5+hmmZG1J29Lg5/95+U8UlBXA2d4Z3b27y51eo8WEx2DDxA01mpcEqAOwYeIGq59C01wNCBiAHt49UHqzFF/+9qVZXqO4vBiZ1zMBcMRKLnUdT96tvJvseLK2wgpo3OeMi8oFkcGRWBCxAN8/8j0uzb+EU3NPIW5sHGb1noUe3j0gQcLZgrO4cfNGna9tC014rOoeK/0UPw8Pj9vuo1arYWd3+9R3794NLy8vuLu7Y8iQIfjPf/6DNm3a1LpvWVkZysrKDL9rNM1/IVGilqKl3GNljSdgazY2dCwO5BzA5rTNmNVnVoOeq2+z3tevL+wUVnUaRUx4DMaGjkVydjLyCvPg6+qLiKAIjlRZkCRJmN1nNmZvnY0Vh1Ygtn+s7M0l9IsQe7l4WUUzleai6vH0XOJzOHbhGGb1ntVkFymsqSNgVaZ+zkiShE5tOqFTm06YesdUAJX3ky3+eTEW/byo3udbcxMeq+kKqNPpMG/ePAwaNAjdutV+4+Xly5fx+uuvY+bMmbeNFR0djS+//BI7d+7Em2++iT179mDEiBHQamsfOly0aBHc3NwMP4GBvOJL1FxUvcfK3F25LImFVcPo77PambkThWWFDXpuyjnrur/qVkqFEpHBkXik+yOIDI5kUWUFJnWfhFaqVki7koakrCTZ4+s7ArJxhfz0x1Ns/1gAaNJ7fPSf69Y4E0Huzxm1gxpRHaOM2team/BYTWE1Z84cnDx5EmvXrq31cY1Gg5EjR6JLly5YuHDhbWM9/PDDGDNmDLp3745x48bhhx9+wMGDB7F79+5a91+wYAEKCgoMP+fOnTPxryEia6GfClh6sxSF5Q37Am0rhBB/TQW0gpa8tqBL2y7o6N4R5dpyJJ5ObNBzf83538LAVnJ/FVk/VwdXTO4xGYB5mliczGfjCnMbEzoGdgo7nMg/gbTLafU/QQYt7YKZtTQNMYVVFFZz587FDz/8gKSkJAQE1PzPU1hYiOjoaLi6umLjxo2wt7dvUPwOHTrA09MTGRkZtT7u4OAAtVpd7YeImgdne2e0UrUC0HynA2rKNCgqLwLQck7AppIkqVHdAQtKCwxNAqx1xIqsk76JxaY/N8k+lanqGlZkHh5OHhjafigA4LvU75rkNVtaYWUtTUNMYdHCSgiBuXPnYuPGjdi1axfat29fYx+NRoOoqCioVCps2bIFjo6ODX6d8+fP48qVK/D1td6hQyIyH/19Vs21gQUXB26ccWHjAABbT21FhbbCqOccyDkAAYH2rdsbRkOJjNHduzsGBQ7CTd1NfHrkU1ljcw2rpjGhywQAwIY/NjTJ67W0wgqw/SY8Fi2s5syZg9WrV+Obb76Bq6srLly4gAsXLuDGjcqOIPqiqri4GJ999hk0Go1hn6r3S4WFhWHjxo0AgKKiIsyfPx+//vorsrKysHPnTowdOxYhISEYPny4Rf5OIrIs/Rfg5tpy3VpvcLZ2AwMHwtPZE9dKr+Hn7J+Neo6+ccWAQE4DpIbTj1p9fORj3NTdvruxsQpKCwyfAWy1bl7jwsZBKSlx9MJRnLl2xqyvVVhWiIKyyqZuLe2zPSY8BlmxWUiamoRvYr5B0tQkZMZmWn1RBVi4sFq+fDkKCgoQGRkJX19fw8+3334LADhy5Aj279+PEydOICQkpNo+Ve+DSktLM3QUVCqVOH78OMaMGYPOnTtjxowZ6N27N5KTk+Hg4GCRv5OILMvQwKKZTgVsiVc15aBUKDGq8ygAxk8HNCwM7M9pgNRwE7pMgKezJ85rzmPrqa2yxNR3BPRz9UNrx9ayxKTaeTp7IjI4EgDw3R/mnQ6o/1xXO6jh6uBq1teyRrbahMfiUwFr+5k2bRoAIDIyss59goODq8XRP8fJyQmJiYnIz89HeXk5srKy8PHHH8Pbm1M2iFqq5r5I8LkCrmHVWFXvs6qva6QQgiNWZBIHOwdMv2M6APmaWLAjYNMyTAdMNe90QGvuCEh1s4rmFURE5tTc17LiiFXj3dfhPjjaOSLrehZO5J+47b6nrpzCtdJrcLRzRA/vHk2UITU3s/rMggQJiacTcfrqaZPjsSNg0xoXNg4SJBzIOYCz18+a7XX4uW6bWFgRUbOnv8fqQnEzbV5RyBNwY7moXHBfh/sAAJv/vP10QP1oVR+/PlApVWbPjZqnDu4dMDyk8p7vlYdXmhyPI1ZNy6eVDyLaVbb7NueaViysbBMLKyJq9pr7iBWnAprG2LbrvL+K5KJvYvH50c9RerPUpFgcsWp6E8LNPx2QhZVtYmFFRM2eoXlFM73Hiidg04zqPAoSJBzOO2x4L2ujL6x4fxWZamSnkQhUB+LKjSsmte6+euOqYRmJLm27yJUe1UPfne6Xc78gR5Njltdgt1fbxMKKiJo9Q7v1oov1NiiwNZoyDQrLCwHwBNxY3q28DcXSlrQtte5TWFZoGBngwsBkKqVCiSd7PQnAtCYW+vWr2rm1a5Gd4yzFX+2PgYEDAZhvOiAvmNkmFlZE1OzppwLeuHkDReVFFs5GXvppgO6O7nBRuVg4G9tV33TAg7kHoRM6BLkFwc/VrylTo2bqiV5PwE5hh1/O/YLjF483KoZhGiDXr2py+umA36Wap+06uwLaJhZWRNTsOdo5wlHpCKCyQYFWp63nGbaDVzXloS+skjKTUFBaUONxQ5v1AE4DJHn4uvpiXNg4AMDyg40btdI3ruD9VU1vfJfxAIC9Z/fKfv9ucXkxrpVeA8DPdlvDwoqImrX41HgELwtGqbbyBvHJmyYjeFmwWbs5NSXDVU03XtU0RahnKELbhKJCV4GEjIQajxsaV3AaIMlI38Ri9YnVKCwrbPDz2RHQcoLcgtDXry8EBDb+uVHW2DmFlfdttVK1gtpBLWtsMi8WVkTUbMWnxmPCugk1GhLkaHIwYd2EZlFcGW5wduVVTVPVNR2w2sLAHLEiGd0bfC9C24SiqLwIq4+vbvDz2RHQsgyLBZvQgKQ2VWciSJIka2wyLxZWRNQsaXVaxCbEQqBmswr9tnkJ82x+WiCnAspnbFhlYbU1fSvKteWG7aevncblkstQKVW4w+cOC2VHzZEkSXiqz1MAKptYNKS5Tn5xPi6XXIYECeFtw82VIt3G+PDK6YC7s3bjUvEl2eLq753l57rtYWFFRM1ScnbybVtnCwic05xDcnZyE2YlP/2IFacCmq6/f394uXhBU6bBnqw9hu0p5yqnAfb27Q0HOwdLpUfN1NSeU+Fk54QT+Sfwy7lfjH6efrSqg3sHONs7mys9uo2OHh1xp8+d0AptvevgNQQbV9guFlZE1CzlFebJup+14oiVfJQKJUZ3Hg2g+nRATgMkc3J3csfD3R4G0LDW6/pW6+wIaFnmmA7Iz3XbxcKKiJolX1dfWfezVjwBy0vfpW1L2hbDtCw2riBz0zexWP/HeqOnlBkaV7Rl4wpL0hdWOzN34tqNa7LEPF/Iz3VbxcKKiJqliKCIyht/UfuNvxIkBKoDEREU0cSZyUdTpoGmTAOAJ2C5DG0/FM72zjinOYejF46iuLzYsMaQfhFhIrn19e+L3r69Ua4tR9yxOKOewzWsrEPnNp3R3as7bupu1rnAeEPxgpntYmFFRM2SUqHEsuhlAFBncbU0eimUCmVTpiUr/cm3tWNrtFK1snA2zYOTvROGdxwOoHLNs0O5h6AVWvi7+vNLDpmVftRq5eGV0AndbfcVQnANKyuib2KxIVWe6YAsrGwXCysiarZiwmOwYeIG+Kv9q21XSkqsf3A9YsJjLJSZPHiDs3lUbbtuuL+Ko1VkZg93exhuDm44fe00tp/eftt984rycL30OpSSEqGeoU2UIdVFPx3wp9M/1brAeEPcqLiByyWXAbCwskUsrIioWYsJj0FWbBaSpiYhbmwc7BX20AotwjzDLJ2aydiS1zxGdh4JCRJ+u/iboZlAP79+Fs6KmjsXlQum9pwKoP4mFvppgCEeIXC0czR7bnR7Xdp2QZhnGMq15fjh1A8mxdIvDuxs7wx3R3c50qMmxMKKiJo9pUKJyOBITL1jKoZ2GAoA2JaxzcJZmY7TRcxj79m9sFfaAwDOFpwFALz9y9vNYkFpsm76Na2+P/W94cJJbfQdAbt5sXGFNZAkCRPC/9cd0MTpgFwc2LaxsCKiFiW6YzQAICEjwcKZmM6whhWnAsomPjUeE9ZNqLZAMABcLrmMCesmsLgiswpvG47I4EjohA6fHPmkzv0MjSt4f5XV0E8HTMhIQFF5UaPj8IKZbWNhRUQtyohOIwBULiBsysnPGvAELC+tTovYhFgIiBqP6bfNS5gHrU7b1KlRC6JvYvHpkU9Roa2odR9D4wp2BLQaPbx7IMQjBKU3S/Fj+o+NjsPPddvGwoqIWpROHp3QvnV7lGvLsStzl6XTMQlPwPJKzk42vKe1ERA4pzmH5OzkJsyKWppxYePg7eKNvKK8agtV61XtCMipgNaj2nRAExYLNtw768rPdVvEwoqIWhRJkjAipHLUytanAxqmArpxKqAc8grzZN2PqDFUShWe6PUEgNqbWGQXZKOovAj2Cnt08ujU1OnRbeinA25N34qSipJGxeDiwLaNhRURtTj66YDbMrZBiJrTvmxB1cWB/V3969mbjOHr6ivrfkSNNbP3TCgkBXZl7kLa5bRqj+lHqzq36WxoskLWoZdvLwS3DkZJRUmjL9wZltHgBTObxMKKiFqce4PvhUqpQtb1LJy6csrS6TRKjqayJa+bgxtcHVwtnE3zEBEUUdmJq44FpSVICFQHIiIoookzo5YmyC0I93e6HwCw4tCKao+xI6D1kiTpr8WCGzkdkFO8bRsLKyJqcVxULhjcbjAA2227zmmA8lMqlFgWvQwAahRX+t+XRi+FUqFs8tyo5dE3sYj7La7atLKTl9gR0JrppwN+f+p7lN4sbdBzy26WIb84HwALK1vFwoqIWiRbb7vOq5rmERMegw0TN8BfXX16ZYA6ABsmbkBMeIyFMqOWZnjH4QhuHYzrpdfx7clvDds5YmXd+vn3Q4A6AEXlRdh+enuDnptbmAsAcFA6oI1TG3OkR2bGwoqIWiT9fVa7s3Y3+iZjSzLMw+caVrKLCY9BVmwWkqYm4ZuYb5A0NQmZsZksqqhJKRVKzOo9C8BfTSx0Qoc/Lv0BgK3WrZVCUvw1HbCBiwXrZyJwcWDbxcKKiFqkcM9wBKoDUaYtw+6s3ZZOp8EMLXk5YmUWSoUSkcGReKT7I4gMjuT0P7KI6XdOh73CHgdzD+Jw7mFkXsvEjZs34KB0QEf3jpZOj+qgnw64+c/NNRYbvx3ORLB9LKyIqEWy9bbrbMlL1Px5uXgZvqQvP7Tc0BEwvG04i30rNjBwIHxb+aKgrAA7z+w0+nnsCGj7WFgRUYtVte26rdGPWHEqIFHzpm9i8fXxr7HmxBoAgKeTJ7Q6rSXTottQSAo8EPYAgIZ1BzSMWHFxYJvFwoqIWqwh7YfATmGHjKsZyLiaYel0GoRTRohahruD7kagOhCl2lKs/X0tAGBH5g4ELwtGfGq8hbOjuuhHGjelbUKFtsKo5/Bz3faxsCKiFkvtoMbdQXcDsK3pgIVlhSgoKwDAEzBRc7fxz42GpgZV5WhyMGHdBBZXViqiXQTaOrfF1RtXjb6Pl4WV7WNhRUQtmi22XdeffLk4MFHzptVpEZsQW+tjAgIAMC9hHqcFWiE7hZ1hOuB3qd8Z9ZyqXQHJNrGwIqIWTX+f1a7MXQ1ezNFSeFWTqGVIzk42HO+1ERA4pzmH5OzkJsyKjKWfDhifGl9v8VuuLcfFoosA2LzClrGwIqIWrbtXd/i5+uHGzRvYe3avpdMxCgsropYhrzBP1v2oaUUGR8LDyQOXSi7VW/zmFeZBQEClVMHT2bOJMiS5sbAiohZNkiSbmw6ony7CjoBEzZuvq6+s+1HTslfaY1zoOAD1dwfUXzDzd/WHQuLXc1vFfzkiavFsre06R6yIWoaIoAgEqAMgQar1cQkSAtWBiAiKaOLMyFjju4wHUHmflU7o6tyPn+vNAwsrImrxhnUYBqWkxJ+X/0TW9SxLp1MvLiJJ1DIoFUosi14GADWKK/3vS6OXcrFgKza0/VC4ObjhQtEF/HLulzr3Y+OK5oGFFRG1eK0dW2NA4AAAtjEdkCdgopYjJjwGGyZugL/av9r2AHUANkzcgJjwGAtlRsZwsHPAmNAxAG4/HZAjVs0DCysiIthW23WegIlalpjwGGTFZiFpahK+ifkGSVOTkBmbyaLKRui7A95uOqBhJgLvnbVpLKyIiPDXfVY7M3eiXFtu4WzqVlRehOul1wHwBEzUkigVSkQGR+KR7o8gMjiS0/9sSFTHKLRStcJ5zXkczDlY6z68YNY8sLAiIgJwh88d8HbxRlF5EX7O/tnS6dRJf/JVO6i5ODARkQ1wtHPE6M6jAdQ9HZCFVfPAwoqICIBCUmB4yHAA1j0dkCdfIiLbo58OuCF1A4QQ1R67qbuJvKLKtcj42W7bWFgREf3PiBDrb7t+roBrWBER2ZrokGg42zsj63oWjuQdqfZYXmEedEIHO4UdvFy8LJQhyYGFFRHR/9zX4T4oJAVO5p80jAxZG45YERHZHmd7Z9zf6X4ANacD6j/X/Vz9eO+cjWNhRUT0P22c26Cffz8A1jsdkIUVEZFtmhBe+3RAdgRsPlhYERFVoW+7bq3TAfVrWPEETERkW+7vdD8c7RyRcTUDJ/JPGLbzglnzwcKKiKgKfdv1HWd2oEJbYeFsauIJmIjINrk6uCI6pPLiXdXpgPxcbz5YWBERVdHHrw88nT2hKdMg5XyKpdOpwTBi5cYRKyIiW2OYDli1sCpkYdVcsLAiIqpCISkQ1TEKgPXdZ1V1cWCegImIbM+ozqOgUqqQejkVf1z6A8Bf3V75uW77WFgREd3CWtuu52hyAACuKleoHdQWzoaIiBrKzdHNcPFOP2rFqYDNBwsrIqJb6E96xy4cQ15hnoWz+QunARIR2b7x4eMBVBZWWp0WuYW5ANiUqDlgYUVEdAsvFy/08esDAEg8nWjhbP7Cq5pERLZvTOgY2CnscCL/BJKzk6EVWiglJXxa+Vg6NTIRCysiolpYY9t1Q2HlysKKiMhWeTh5YGj7oQCAZfuXAQB8XX25OHAzwMKKiKgW+rbr209vx03dTQtnU0l/gzOnAhIR2bYJXSq7A276cxOAyntntTqtBTMiOVi0sFq0aBH69u0LV1dXeHl5Ydy4cUhLSzM8fvXqVTzzzDMIDQ2Fk5MTgoKC8Oyzz6KgoOC2cYUQ+Ne//gVfX184OTlh2LBhSE9PN/efQ0TNSD//fnB3dMe10ms4kHPA0ukAYEteIqLmwk5hV+331MupCF4WjPjUeAtlRHKwaGG1Z88ezJkzB7/++iu2b9+OiooKREVFobi4GACQm5uL3NxcLFmyBCdPnkRcXBwSEhIwY8aM28Z966238P7772PFihXYv38/XFxcMHz4cJSWljbFn0VEzYCdwg73dbwPgPW0Xec9VkREti8+NR7TN0+vsT1Hk4MJ6yawuLJhkhBCWDoJvUuXLsHLywt79uzB4MGDa91n/fr1eOyxx1BcXAw7O7sajwsh4Ofnh7/97W944YUXAAAFBQXw9vZGXFwcHn744Xrz0Gg0cHNzQ0FBAdRqtjQmaqnijsXh8c2Po49fHxx88qCl04HHmx64VnoNJ2efRFevrpZOh4iIGkir0yJ4WbDhQtmtJEgIUAcgMzaT91xZEWNrA6u6x0o/xc/Dw+O2+6jV6lqLKgDIzMzEhQsXMGzYMMM2Nzc39O/fHykpKbU+p6ysDBqNptoPEdHwjsMBAIdyDyG/ON+iuRSXF+Na6TUAHLEiIrJVydnJdRZVACAgcE5zDsnZyU2YFcnFagornU6HefPmYdCgQejWrVut+1y+fBmvv/46Zs6cWWecCxcuAAC8vb2rbff29jY8dqtFixbBzc3N8BMYyBvDiaiyS9MdPncAAH46/ZNFc9GfiF1VrnBzdLNoLkRE1DjGro1oTWsokvGsprCaM2cOTp48ibVr19b6uEajwciRI9GlSxcsXLhQ1tdesGABCgoKDD/nzp2TNT4R2S5rabvO+6uIiGyfr6uvrPuRdbGKwmru3Ln44YcfkJSUhICAml8aCgsLER0dDVdXV2zcuBH29vZ1xvLxqVxc7eLFi9W2X7x40fDYrRwcHKBWq6v9EBEBf7VdT8xItGgrXBZWRES2LyIoAgHqAEiQan1cgoRAdSAigiKaODOSg0ULKyEE5s6di40bN2LXrl1o3759jX00Gg2ioqKgUqmwZcsWODo63jZm+/bt4ePjg507d1aLsX//fgwYMED2v4GImrcBAQOgdlDjyo0rOJx32GJ5nNP8bw0rNacqExHZKqVCiWXRlYsC31pc6X9fGr2UjStslEULqzlz5mD16tX45ptv4OrqigsXLuDChQu4ceMGgL+KquLiYnz22WfQaDSGfbTav64ch4WFYePGjQAASZIwb948/Oc//8GWLVtw4sQJTJkyBX5+fhg3bpwl/kwismH2SnsM61DZDMeSbdc5YkVE1DzEhMdgw8QN8Ff7V9seoA7AhokbEBMeY6HMyFS1t9ZrIsuXLwcAREZGVtu+atUqTJs2DUeOHMH+/fsBACEhIdX2yczMRHBwMAAgLS2t2qLBL774IoqLizFz5kxcv34dd999NxISEuod7SIiqs2IkBGIT43Htoxt+Nc9/7JIDiysiIiaj5jwGIwNHYvk7GTkFebB19UXEUERHKmycVa1jpW14DpWRFTVec15BL4XCIWkQP4L+Wjj3KbJc+i5oieOXzyObZO2ITokuslfn4iIqKWyyXWsiIisUYA6AN28ukEndNh+ZrtFcuCIFRERkXVjYUVEZARLtV3X6rRIyEjA1RtXAQC+rdiCl4iIyBqxsCIiMkLVtus6oWuS14xPjUfwsmCM+HqEYdsdK+9AfGp8k7w+ERERGY+FFRGREe4Ouhsu9i64WHwRxy4cM/vrxafGY8K6CYYpgHo5mhxMWDeBxRUREZGVYWFFRGQElVKFoR2GAjB/23WtTovYhFgI1OwtpN82L2GeRRcsJiIioupYWBERGWlESOWUPHPfZ5WcnVxjpKoqAYFzmnNIzk42ax5ERERkPBZWRERG0rc5TzmXguul1832OnmFebLuR0RERObHwoqIyEjBrYMR5hkGrdBix5kdZnsdX1fjOv8Zux8RERGZHwsrIqIGMLRdTzffdMCIoAi4O7rX+bgECYHqQEQERZgtByIiImoYFlZERA2gb7uecDoBQtRsLmEqIQTeTXkX10qv1fq4BAkAsDR6KZQKpeyvT0RERI3DwoqIqAEGtxsMJzsn5Bbm4kT+CVlj64QOL/z0Al7c8SIAYEznMQhQB1TbJ0AdgA0TNyAmPEbW1yYiIiLT2Fk6ASIiW+Jo54h729+LH9N/REJGAnp495Albrm2HNM3T8fXJ74GACy5bwn+NvBv0Oq0SM5ORl5hHnxdfRERFMGRKiIiIivEwoqIqIFGhIzAj+k/YlvGNrw46EWT4xWVF2H8uvH46fRPsFPYYdXYVXisx2MAAKVCicjgSJNfg4iIiMyLhRURUQPp267/nP0zCssK4erg2uhYl4ovYeQ3I3Ew9yCc7Z3x3cTvDPGJiIjIdvAeKyKiBgrxCEGIRwhu6m5iZ+bORsfJup6FQZ8PwsHcg2jj1Aa7puxiUUVERGSjWFgRETWCqW3Xj188joGfDUT61XQEuQVh3/R96B/QX84UiYiIqAmxsCIiagRT2q7vydqDiFURyCvKQzevbvhl+i8I9Qw1R5pERETURFhYERE1QmRwJByUDsguyEbq5VSjnxefGo/hq4dDU6ZBRFAEkh9Phr/a34yZEhERUVNgYUVE1AjO9s64J/geAEBCRoJRz1lxaAUeXP8gyrRlGBc2DomPJaK1Y2szZklERERNhYUVEVEjjQipnA64LeP291kJIfDa7tcwe+ts6IQOM3vNxPoH18PJ3qkp0iQiIqImwMKKiKiR9B389p7di+Ly4lr30eq0mL11NhbuWQgA+Nfgf2HFqBWwU3C1CyIiouaEhRURUSOFtglFcOtglGvLkZSVVOPx0pulmLhhIlYeXgkJEj66/yO8du9rkCTJAtkSERGRObGwIiJqJEmS6my7fr30OqJXRyM+NR4qpQrrHlyHp/s+bYk0iYiIqAmwsCIiMoG+7Xp8ajy+OfENdmftxrmCc7gn7h7sObsHagc1EiYlYEKXCRbOlIiIiMyJk/yJiExQWF4IALhQfAGT4icBAJSSElqhhbeLNxIeS8AdPndYMEMiIiJqChyxIiJqpPjUeEyOn1xju1ZoAQCv3vMqiyoiIqIWgoUVEVEjaHVaxCbEQkDU+rgECYt+XgStTtvEmREREZElsLAiImqE5OxknNecr/NxAYFzmnNIzk5uwqyIiIjIUlhYERE1Ql5hnqz7ERERkW1jYUVE1Ai+rr6y7kdERES2jYUVEVEjRARFIEAdAAm1L/YrQUKgOhARQRFNnBkRERFZAgsrIqJGUCqUWBa9DABqFFf635dGL4VSoWzy3IiIiKjpsbAiImqkmPAYbJi4Af5q/2rbA9QB2DBxA2LCYyyUGRERETU1SQhRe6/gFkyj0cDNzQ0FBQVQq9WWToeIrJxWp0VydjLyCvPg6+qLiKAIjlQRERE1E8bWBnZNmBMRUbOkVCgRGRxp6TSIiIjIgjgVkIiIiIiIyEQsrIiIiIiIiEzEwoqIiIiIiMhELKyIiIiIiIhMxMKKiIiIiIjIRCysiIiIiIiITMTCioiIiIiIyEQsrIiIiIiIiEzEwoqIiIiIiMhELKyIiIiIiIhMxMKKiIiIiIjIRCysiIiIiIiITMTCioiIiIiIyER2lk7AGgkhAAAajcbCmRARERERkSXpawJ9jVAXFla1KCwsBAAEBgZaOBMiIiIiIrIGhYWFcHNzq/NxSdRXerVAOp0Oubm5cHV1hSRJ9e6v0WgQGBiIc+fOQa1Wy5qLOWObOz5zt0x85t70sc0dn7lbJj5zt0x85m6Z+MzdMvGZu+XiN4QQAoWFhfDz84NCUfedVByxqoVCoUBAQECDn6dWq832D2/O2OaOz9wtE5+5N31sc8dn7paJz9wtE5+5WyY+c7dMfOZuufjGut1IlR6bVxAREREREZmIhRUREREREZGJWFjJwMHBAa+++iocHBxsKra54zN3y8Rn7k0f29zxmbtl4jN3y8Rn7paJz9wtE5+5Wy6+ObB5BRERERERkYk4YkVERERERGQiFlZEREREREQmYmFFRERERERkIhZWREREREREJmJhZaKPPvoIwcHBcHR0RP/+/XHgwAFZ4u7duxejR4+Gn58fJEnCpk2bZIkLAIsWLULfvn3h6uoKLy8vjBs3DmlpabLFX758OXr06GFY0G3AgAHYtm2bbPGrWrx4MSRJwrx582SJt3DhQkiSVO0nLCxMltgAkJOTg8ceewxt2rSBk5MTunfvjkOHDskSOzg4uEbukiRhzpw5JsfWarV45ZVX0L59ezg5OaFjx454/fXXIVfvm8LCQsybNw/t2rWDk5MTBg4ciIMHDzYqVn3HjhAC//rXv+Dr6wsnJycMGzYM6enpssWPj49HVFQU2rRpA0mScOzYMVliV1RU4KWXXkL37t3h4uICPz8/TJkyBbm5ubLlvnDhQoSFhcHFxQXu7u4YNmwY9u/fL0vsqp566ilIkoSlS5fKlvu0adNq/N+Pjo6WLffU1FSMGTMGbm5ucHFxQd++fZGdnS1L/NqOW0mS8Pbbb5scu6ioCHPnzkVAQACcnJzQpUsXrFixwqi8jYl/8eJFTJs2DX5+fnB2dkZ0dLTRx5Mx56LS0lLMmTMHbdq0QatWrTB+/HhcvHhRltgff/wxIiMjoVarIUkSrl+/blTexsS/evUqnnnmGYSGhsLJyQlBQUF49tlnUVBQIEvus2bNQseOHeHk5IS2bdti7Nix+PPPP2XJvSohBEaMGGH09xBjYkdGRtb4v/7UU0/JlndKSgqGDBkCFxcXqNVqDB48GDdu3DA5flZWVp3H6vr1603O/cKFC5g8eTJ8fHzg4uKCXr164bvvvqs3b2Pjnz59Gg888ADatm0LtVqNiRMnGnUsAfV/r2vscWpMbFOOU0tgYWWCb7/9Fs8//zxeffVVHDlyBD179sTw4cORn59vcuzi4mL07NkTH330kQyZVrdnzx7MmTMHv/76K7Zv346KigpERUWhuLhYlvgBAQFYvHgxDh8+jEOHDmHIkCEYO3Ysfv/9d1ni6x08eBArV65Ejx49ZI3btWtX5OXlGX5+/vlnWeJeu3YNgwYNgr29PbZt24Y//vgD77zzDtzd3WWJf/DgwWp5b9++HQDw4IMPmhz7zTffxPLly/Hhhx8iNTUVb775Jt566y188MEHJscGgCeeeALbt2/HV199hRMnTiAqKgrDhg1DTk5Og2PVd+y89dZbeP/997FixQrs378fLi4uGD58OEpLS2WJX1xcjLvvvhtvvvmmrLmXlJTgyJEjeOWVV3DkyBHEx8cjLS0NY8aMkSU+AHTu3BkffvghTpw4gZ9//hnBwcGIiorCpUuXTI6tt3HjRvz666/w8/MzOm9j40dHR1c7BtasWSNL7NOnT+Puu+9GWFgYdu/ejePHj+OVV16Bo6OjLPGr5pyXl4fPP/8ckiRh/PjxJsd+/vnnkZCQgNWrVyM1NRXz5s3D3LlzsWXLFpNzF0Jg3LhxOHPmDDZv3oyjR4+iXbt2GDZsmFHnE2PORc899xy+//57rF+/Hnv27EFubi5iYmJkiV1SUoLo6Gj8/e9/N+q9aEj83Nxc5ObmYsmSJTh58iTi4uKQkJCAGTNmyJJ77969sWrVKqSmpiIxMRFCCERFRUGr1coSX2/p0qWQJEm290XvySefrPZ//q233pIldkpKCqKjoxEVFYUDBw7g4MGDmDt3LhSK+r/u1hc/MDCwxrH62muvoVWrVhgxYoTJuU+ZMgVpaWnYsmULTpw4gZiYGEycOBFHjx41Offi4mJERUVBkiTs2rUL+/btQ3l5OUaPHg2dTldv/Pq+1zX2ODUmtinHqUUIarR+/fqJOXPmGH7XarXCz89PLFq0SNbXASA2btwoa8yq8vPzBQCxZ88es72Gu7u7+PTTT2WLV1hYKDp16iS2b98u7rnnHhEbGytL3FdffVX07NlTlli3eumll8Tdd99tlti1iY2NFR07dhQ6nc7kWCNHjhTTp0+vti0mJkZMmjTJ5NglJSVCqVSKH374odr2Xr16iX/84x8mxb712NHpdMLHx0e8/fbbhm3Xr18XDg4OYs2aNSbHryozM1MAEEePHm1w3Ppi6x04cEAAEGfPnjVL/IKCAgFA7NixQ5bY58+fF/7+/uLkyZOiXbt24r333mtQ3NvFnzp1qhg7dmyj4tUX+6GHHhKPPfaYybHrin+rsWPHiiFDhsgSu2vXruLf//53tW2NPbZujZ+WliYAiJMnTxq2abVa0bZtW/HJJ580OP6t56Lr168Le3t7sX79esM+qampAoBISUkxKXZVSUlJAoC4du1ag3M2Jr7eunXrhEqlEhUVFbLH/u233wQAkZGR0aDYt4t/9OhR4e/vL/Ly8hr9PaS22HKds2uL3b9/f/HPf/7T5Nh1xb/VHXfcUePc2NjYLi4u4ssvv6y2n4eHhyzHUmJiolAoFKKgoMCwz/Xr14UkSWL79u0Nji/EX9/r5DxOb41dlRzHaVPgiFUjlZeX4/Dhwxg2bJhhm0KhwLBhw5CSkmLBzBpOPzXBw8ND9tharRZr165FcXExBgwYIFvcOXPmYOTIkdXef7mkp6fDz88PHTp0wKRJk4ye7lOfLVu2oE+fPnjwwQfh5eWFO++8E5988okssW9VXl6O1atXY/r06Q262liXgQMHYufOnTh16hQA4LfffsPPP/9c71U6Y9y8eRNarbbG1X8nJyfZRgv1MjMzceHChWr/b9zc3NC/f3+bO26BymNXkiS0bt1a9tjl5eX4+OOP4ebmhp49e5ocT6fTYfLkyZg/fz66du0qQ4Y17d69G15eXggNDcXs2bNx5coVk2PqdDps3boVnTt3xvDhw+Hl5YX+/fvLOj27qosXL2Lr1q1GjWwYY+DAgdiyZQtycnIghEBSUhJOnTqFqKgok2OXlZUBQLVjV6FQwMHBoVHH7q3nosOHD6OioqLa8RoWFoagoKAGH6/mPM8ZG7+goABqtRp2dnayxi4uLsaqVavQvn17BAYGNih2XfFLSkrw6KOP4qOPPoKPj0+DY94uNgB8/fXX8PT0RLdu3bBgwQKUlJSYHDs/Px/79++Hl5cXBg4cCG9vb9xzzz2NPo/U974fPnwYx44da9SxWlvsgQMH4ttvv8XVq1eh0+mwdu1alJaWIjIy0uT4ZWVlkCSp2kK7jo6OUCgUDX5/bv1eJ+dxaq7vjE3K0pWdrcrJyREAxC+//FJt+/z580W/fv1kfS2YccRKq9WKkSNHikGDBska9/jx48LFxUUolUrh5uYmtm7dKlvsNWvWiG7duokbN24IIeS7+iWEED/++KNYt26d+O2330RCQoIYMGCACAoKEhqNxuTYDg4OwsHBQSxYsEAcOXJErFy5Ujg6Ooq4uDgZMq/u22+/FUqlUuTk5MgST6vVipdeeklIkiTs7OyEJEnijTfekCW2EEIMGDBA3HPPPSInJ0fcvHlTfPXVV0KhUIjOnTubFPfWY2ffvn0CgMjNza2234MPPigmTpxocvyqzD1idePGDdGrVy/x6KOPyhr/+++/Fy4uLkKSJOHn5ycOHDggS+w33nhD3HfffYYRVLlHrNasWSM2b94sjh8/LjZu3CjCw8NF3759xc2bN02Krb9a7+zsLN59911x9OhRsWjRIiFJkti9e7csuVf15ptvCnd3d8Pnm6mxS0tLxZQpUwQAYWdnJ1Qqlfjiiy8aHLu2+OXl5SIoKEg8+OCD4urVq6KsrEwsXrxYABBRUVENil3buejrr78WKpWqxr59+/YVL774okmxqzL1Srgx59FLly6JoKAg8fe//1222B999JFwcXERAERoaGijRqvqij9z5kwxY8YMw++N+R5SV+yVK1eKhIQEcfz4cbF69Wrh7+8vHnjgAZNjp6SkCADCw8NDfP755+LIkSNi3rx5QqVSiVOnTsmSe1WzZ88W4eHhDYp7u9jXrl0TUVFRhmNVrVaLxMREWeLn5+cLtVotYmNjRXFxsSgqKhJz584VAMTMmTONilvX9zo5jlNjvjPayogVC6tGai6F1VNPPSXatWsnzp07J2vcsrIykZ6eLg4dOiRefvll4enpKX7//XeT42ZnZwsvLy/x22+/GbbJWVjd6tq1a0KtVssyjdHe3l4MGDCg2rZnnnlG3HXXXSbHvlVUVJQYNWqUbPHWrFkjAgICxJo1a8Tx48fFl19+KTw8PGQrCjMyMsTgwYMFAKFUKkXfvn3FpEmTRFhYmElxm2thVV5eLkaPHi3uvPPOalM75IhfVFQk0tPTRUpKipg+fboIDg4WFy9eNCn2oUOHhLe3d7VCX+7C6lanT5+WZRqj/rP+kUceqbbf6NGjxcMPP9yg2LXFv1VoaKiYO3dug+PWFfvtt98WnTt3Flu2bBG//fab+OCDD0SrVq0aNf2ntviHDh0SPXv2NBy7w4cPFyNGjBDR0dENil3buUiuwqq+85ypX9jqi19QUCD69esnoqOjRXl5uWyxr1+/Lk6dOiX27NkjRo8eLXr16tXggry2+Js3bxYhISGisLDQsK0x30OM/X6xc+fOBk9jrC22/vN9wYIF1fbt3r27ePnll2XNvaSkRLi5uYklS5Y0KO7tYs+dO1f069dP7NixQxw7dkwsXLhQuLm5iePHj8sSPzExUXTo0EFIkiSUSqV47LHHRK9evcRTTz1lVNy6vtfJcZwa852RhVUzV1ZWJpRKZY0PmilTpogxY8bI+lrmKqzmzJkjAgICxJkzZ2SPfauhQ4cafVXkdjZu3Gg4get/ABg+KBp6ddoYffr0afCHcm2CgoKqXQEUQoj/+7//E35+fibHriorK0soFAqxadMm2WIGBASIDz/8sNq2119/XYSGhsr2GkJUfqnXFz0TJ04U999/v0nxbj129F+2by12Bg8eLJ599lmT41dlrsKqvLxcjBs3TvTo0UNcvny5UbFvF/9WISEhDR6dvDX2e++9ZzhGqx63CoVCtGvXrmGJ1xK/Lp6enmLFihUmxS4rKxN2dnbi9ddfr7bfiy++KAYOHNig2LXFr2rv3r0CgDh27FiD49YWu6SkRNjb29e4f3HGjBli+PDhJsev6vr16yI/P18IUXn/8dNPP2103LrORfov3Ld+kQoKChLvvvuuSbGrMuULW33xNRqNGDBggBg6dGiDi56GnKPLysqEs7Oz+Oabb0yOHxsbW+fxes8998iee1FRkQAgEhISTIp95swZAUB89dVX1bZPnDixQSP7xuT+5ZdfCnt7e8P/eVNjZ2Rk1LhfUYjK706zZs2SNfdLly4Z/q97e3uLt956y/g/4JbcZs6cKctxWlfsqmylsOI9Vo2kUqnQu3dv7Ny507BNp9Nh586dVj8vVAiBuXPnYuPGjdi1axfat29v9tfU6XSG+fimGDp0KE6cOIFjx44Zfvr06YNJkybh2LFjUCqVMmT7l6KiIpw+fRq+vr4mxxo0aFCN9qenTp1Cu3btTI5d1apVq+Dl5YWRI0fKFrOkpKRGVyWlUmlUN6GGcHFxga+vL65du4bExESMHTtW1vjt27eHj49PteNWo9Fg//79Vn/cApUt1ydOnIj09HTs2LEDbdq0MftrynHsTp48GcePH6923Pr5+WH+/PlITEyUKdPqzp8/jytXrph87KpUKvTt27dJjt3PPvsMvXv3luWeNqDy/0tFRUWTHLtubm5o27Yt0tPTcejQIaOO3frORb1794a9vX214zUtLQ3Z2dn1Hq/mPs8ZE1+j0SAqKgoqlQpbtmwxuotkY3IXlRfKjTpW64v/8ssv1zheAeC9997DqlWrZM9dH7++Y7W+2MHBwfDz82v0sdqQ3D/77DOMGTMGbdu2rTeuMbH195g19lhtSO6enp5o3bo1du3ahfz8/AZ1lq1Kf24w5TitL7ZNskg510ysXbtWODg4iLi4OPHHH3+ImTNnitatW4sLFy6YHLuwsFAcPXpUHD16VAAwzO1vTPevW82ePVu4ubmJ3bt3i7y8PMNPSUmJybGFEOLll18We/bsEZmZmeL48ePi5ZdfFpIkiZ9++kmW+LeScyrg3/72N7F7926RmZkp9u3bJ4YNGyY8PT0bfFWqNgcOHBB2dnbiv//9r0hPTxdff/21cHZ2FqtXr5Yh80parVYEBQWJl156SbaYQlR2XPP39xc//PCDyMzMFPHx8cLT07NB03FuJyEhQWzbtk2cOXNG/PTTT6Jnz56if//+DZ42I0T9x87ixYtF69atDffjjB07VrRv397oq8n1xb9y5Yo4evSo2Lp1qwAg1q5dK44ePSry8vJMil1eXi7GjBkjAgICxLFjx6odu2VlZSbnXlRUJBYsWCBSUlJEVlaWOHTokHj88ceFg4NDjauojXlfbtXQqYC3i19YWCheeOEFkZKSIjIzM8WOHTtEr169RKdOnURpaanJucfHxwt7e3vx8ccfi/T0dPHBBx8IpVIpkpOTTc5dr6CgQDg7O4vly5cb/Z4YE/uee+4RXbt2FUlJSeLMmTNi1apVwtHRUfzf//2fLPHXrVsnkpKSxOnTp8WmTZtEu3btRExMjFGxjTkXPfXUUyIoKEjs2rVLHDp0SAwYMKDGlOrGxs7LyxNHjx4Vn3zyiQAg9u7dK44ePSquXLlicvyCggLRv39/0b17d5GRkVFtn/pmVtQX+/Tp0+KNN94Qhw4dEmfPnhX79u0To0ePFh4eHkZN223MdwAYOUpcX+yMjAzx73//Wxw6dEhkZmaKzZs3iw4dOojBgwfLkvd7770n1Gq1WL9+vUhPTxf//Oc/haOjo1HTDI19X9LT04UkSWLbtm31xjQ2dnl5uQgJCRERERFi//79IiMjQyxZskRIkmTUPerG5P7555+LlJQUkZGRIb766ivh4eEhnn/+eaPyr+97XWOPU2Nim3KcWgILKxN98MEHIigoSKhUKtGvXz/x66+/yhJXP+R568/UqVNNjl1bXABi1apVJscWQojp06eLdu3aCZVKJdq2bSuGDh1qtqJKCHkLq4ceekj4+voKlUol/P39xUMPPdSoG4Lr8v3334tu3boJBwcHERYWJj7++GPZYgtROYcagEhLS5M1rkajEbGxsSIoKEg4OjqKDh06iH/84x9Gf6Gvz7fffis6dOggVCqV8PHxEXPmzBHXr19vVKz6jh2dTideeeUV4e3tLRwcHMTQoUMb9H7VF3/VqlW1Pv7qq6+aFFs/tbC2n6SkJJNzv3HjhnjggQeEn5+fUKlUwtfXV4wZM8bo5hUN/cxqaGF1u/glJSUiKipKtG3bVtjb24t27dqJJ5980uiLXMbk/tlnn4mQkBDh6Ogoevbs2aCptsbEX7lypXBycmrw//v6Yufl5Ylp06YJPz8/4ejoKEJDQ8U777xj9DIM9cVftmyZCAgIEPb29iIoKEj885//NPpzwZhz0Y0bN8TTTz8t3N3dhbOzs3jggQeMukhhTOxXX3210efC+uLX9b4BEJmZmSbFzsnJESNGjBBeXl7C3t5eBAQEiEcffVT8+eef9eZt7HtT23OMKazqi52dnS0GDx4sPDw8hIODgwgJCRHz58836l5RY/NetGiRCAgIEM7OzmLAgAFGXwAxNv6CBQtEYGCg0Gq1RsU1NvapU6dETEyM8PLyEs7OzqJHjx412q+bEv+ll14S3t7ewt7eXnTq1KlBnwP1fa9r7HFqTGxTjlNLkIQQAkRERERERNRovMeKiIiIiIjIRCysiIiIiIiITMTCioiIiIiIyEQsrIiIiIiIiEzEwoqIiIiIiMhELKyIiIiIiIhMxMKKiIiIiIjIRCysiIiIiIiITMTCioiI6H/27duH7t27w97eHuPGjbN0OreVlZUFSZJw7NgxS6dCRERgYUVERE1k2rRpkCQJkiTB3t4e3t7euO+++/D5559Dp9NZOj0AwPPPP4877rgDmZmZiIuLq3WfyMhISJKExYsX13hs5MiRkCQJCxculDWvadOmWX2hR0TU0rGwIiKiJhMdHY28vDxkZWVh27ZtuPfeexEbG4tRo0bh5s2blk4Pp0+fxpAhQxAQEIDWrVvXuV9gYGCNwisnJwc7d+6Er6+veZMkIiKrxMKKiIiajIODA3x8fODv749evXrh73//OzZv3oxt27ZVK1TeffdddO/eHS4uLggMDMTTTz+NoqIiAEBxcTHUajU2bNhQLfamTZvg4uKCwsLCWl+7rKwMzz77LLy8vODo6Ii7774bBw8eBPDXtLorV65g+vTpkCSpzhErABg1ahQuX76Mffv2GbZ98cUXiIqKgpeXV7V9r127hilTpsDd3R3Ozs4YMWIE0tPTDY/HxcWhdevWSExMRHh4OFq1amUoQAFg4cKF+OKLL7B582bDiN/u3bsNzz9z5gzuvfdeODs7o2fPnkhJSan7H4CIiMyGhRUREVnUkCFD0LNnT8THxxu2KRQKvP/++/j999/xxRdfYNeuXXjxxRcBAC4uLnj44YexatWqanFWrVqFCRMmwNXVtdbXefHFF/Hdd9/hiy++wJEjRxASEoLhw4fj6tWrCAwMRF5eHtRqNZYuXYq8vDw89NBDdeasUqkwadKkajnExcVh+vTpNfadNm0aDh06hC1btiAlJQVCCNx///2oqKgw7FNSUoIlS5bgq6++wt69e5GdnY0XXngBAPDCCy9g4sSJhmIrLy8PAwcONDz3H//4B1544QUcO3YMnTt3xiOPPGIVo39ERC0NCysiIrK4sLAwZGVlGX6fN28e7r33XgQHB2PIkCH4z3/+g3Xr1hkef+KJJ5CYmGgY1cnPz8ePP/5Ya2EDVI5yLV++HG+//TZGjBiBLl264JNPPoGTkxM+++wzKJVK+Pj4QJIkuLm5wcfHB05OTrfNefr06Vi3bh2Ki4uxd+9eFBQUYNSoUdX2SU9Px5YtW/Dpp58iIiICPXv2xNdff42cnBxs2rTJsF9FRQVWrFiBPn36oFevXpg7dy527twJAGjVqhWcnJwMo30+Pj5QqVSG577wwgsYOXIkOnfujNdeew1nz55FRkaGUe87ERHJh4UVERFZnBACkiQZft+xYweGDh0Kf39/uLq6YvLkybhy5QpKSkoAAP369UPXrl3xxRdfAABWr16Ndu3aYfDgwbXGP336NCoqKjBo0CDDNnt7e/Tr1w+pqamNyrlnz57o1KkTNmzYgM8//xyTJ0+GnZ1dtX1SU1NhZ2eH/v37G7a1adMGoaGh1V7X2dkZHTt2NPzu6+uL/Px8o/Lo0aNHtecBMPq5REQkHxZWRERkcampqWjfvj2AyvudRo0ahR49euC7777D4cOH8dFHHwEAysvLDc954oknDPdBrVq1Co8//ni14qwpTJ8+HR999BE2bNhQ52iZMezt7av9LkkShBANfq7+77eWLotERC0JCysiIrKoXbt24cSJExg/fjwA4PDhw9DpdHjnnXdw1113oXPnzsjNza3xvMceewxnz57F+++/jz/++ANTp06t8zU6duwIlUpVrdlERUUFDh48iC5dujQ690cffRQnTpxAt27dao0THh6OmzdvYv/+/YZtV65cQVpaWoNeV6VSQavVNjpPIiIyP7v6dyEiIpJHWVkZLly4AK1Wi4sXLyIhIQGLFi3CqFGjMGXKFABASEgIKioq8MEHH2D06NHYt28fVqxYUSOWu7s7YmJiMH/+fERFRSEgIKDO13VxccHs2bMxf/58eHh4ICgoCG+99RZKSkowY8aMRv897u7uyMvLqzHipNepUyeMHTsWTz75JFauXAlXV1e8/PLL8Pf3x9ixY41+neDgYCQmJiItLQ1t2rSBm5tbo3MmIiLz4IgVERE1mYSEBPj6+iI4OBjR0dFISkrC+++/j82bN0OpVAKovHfp3XffxZtvvolu3brh66+/xqJFi2qNN2PGDJSXlxs1DW/x4sUYP348Jk+ejF69eiEjIwOJiYlwd3c36W9q3bo1XFxc6nx81apV6N27N0aNGoUBAwZACIEff/yxzmKsNk8++SRCQ0PRp08ftG3bttrIGxERWQdJGDuJm4iIyMp89dVXeO6555Cbm1utUx4REVFT41RAIiKyOSUlJcjLy8PixYsxa9YsFlVERGRxnApIREQ256233kJYWBh8fHywYMECS6dDRETEqYBERERERESm4ogVERERERGRiVhYERERERERmYiFFRERERERkYlYWBEREREREZmIhRUREREREZGJWFgRERERERGZiIUVERERERGRiVhYERERERERmej/AQ+7nGAjnJG3AAAAAElFTkSuQmCC","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Calculate average trip duration by day of the month\n","df_avg_duration_by_day_of_month = df.groupby(['Pday'])['Duration'].mean()\n","\n","# Plot average trip duration by day of the month\n","plt.figure(figsize=(10, 6))\n","plt.plot(df_avg_duration_by_day_of_month.index, df_avg_duration_by_day_of_month.values,'g-o')\n","plt.xlabel('Day of Month')\n","plt.xticks(range(len(df_avg_duration_by_day_of_month.index)+1))\n","plt.ylabel('Average Trip Duration')\n","plt.title('Average Trip Duration by Day of Month')\n","plt.show()"]},{"cell_type":"code","execution_count":30,"id":"aa91328b","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:37.975051Z","iopub.status.busy":"2023-10-26T18:14:37.974564Z","iopub.status.idle":"2023-10-26T18:14:38.480971Z","shell.execute_reply":"2023-10-26T18:14:38.479356Z"},"papermill":{"duration":0.543783,"end_time":"2023-10-26T18:14:38.483439","exception":false,"start_time":"2023-10-26T18:14:37.939656","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Calculate average trip duration by day of the week\n","df_avg_duration_by_day_of_week = df.groupby(['PDweek'])['Duration'].mean()\n","\n","# Plot average trip duration by day of the week\n","plt.figure(figsize=(10, 6))\n","plt.plot(df_avg_duration_by_day_of_week.index, df_avg_duration_by_day_of_week.values,'r-o')\n","plt.xlabel('Day of Week')\n","plt.xticks(range(len(df_avg_duration_by_day_of_week.index)))\n","plt.ylabel('Average Trip Duration')\n","plt.title('Average Trip Duration by Day of Week')\n","plt.show()"]},{"cell_type":"code","execution_count":31,"id":"428a8714","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:38.550393Z","iopub.status.busy":"2023-10-26T18:14:38.549946Z","iopub.status.idle":"2023-10-26T18:14:39.157511Z","shell.execute_reply":"2023-10-26T18:14:39.156475Z"},"papermill":{"duration":0.644389,"end_time":"2023-10-26T18:14:39.159911","exception":false,"start_time":"2023-10-26T18:14:38.515522","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Calculate average trip duration by hour of the day\n","df_avg_duration_by_hour_of_day = df.groupby(['Phour'])['Duration'].mean()\n","\n","# Plot average trip duration by hour of the day\n","plt.figure(figsize=(10, 6))\n","plt.plot(df_avg_duration_by_hour_of_day.index, df_avg_duration_by_hour_of_day.values,'y-o')\n","plt.xlabel('Hour of Day')\n","plt.xticks(range(len(df_avg_duration_by_hour_of_day.index)))\n","plt.ylabel('Average Trip Duration')\n","plt.title('Average Trip Duration by Hour of Day')\n","plt.show()"]},{"cell_type":"markdown","id":"731bb575","metadata":{"papermill":{"duration":0.032745,"end_time":"2023-10-26T18:14:39.226661","exception":false,"start_time":"2023-10-26T18:14:39.193916","status":"completed"},"tags":[]},"source":["**Observation:**\n","1. From Total pick ups and Average Trip Duration every months in a year plots\n","- The data shows a clear trend of increased pick-ups during the late summer and early fall months. The highest pick-ups occur in September and October, followed by June, July, and August.\n","- The total pick ups and average trip duration is low in months: noverber, december and january. Since, This is the period of time in which south korea experiences winter season.\n","- the data suggests that the average trip duration is highest in May and September.\n","- due to a combination of factors, including increased congestion, increased tourism, and favorable weather conditions.\n","2. From Average Trip Duration by Day of Week plot, We can observe that the trip duration is higer during weekends.\n","3. From Average Trip Duration by Hour of Day plot, The average trip duration is higer from 15th to 20th hour of a day. Typically after working hours or evening time.\n","\n","__From the above observation we can say that temperature and time are influential factors for the estimation of the trip duration.__"]},{"cell_type":"code","execution_count":32,"id":"cc52d97c","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:39.29652Z","iopub.status.busy":"2023-10-26T18:14:39.295815Z","iopub.status.idle":"2023-10-26T18:14:57.490523Z","shell.execute_reply":"2023-10-26T18:14:57.489302Z"},"papermill":{"duration":18.236968,"end_time":"2023-10-26T18:14:57.496303","exception":false,"start_time":"2023-10-26T18:14:39.259335","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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size 2200x1200 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize = (22,12))\n","sns.heatmap(df.corr(),annot=True,center=0)\n","plt.title(\"correlation plot\")\n","plt.show()"]},{"cell_type":"markdown","id":"b44d1f39","metadata":{"papermill":{"duration":0.037875,"end_time":"2023-10-26T18:14:57.572636","exception":false,"start_time":"2023-10-26T18:14:57.534761","status":"completed"},"tags":[]},"source":["**Observations:**\n","- Plong and Dlong are highly correlated. but they represent the pick up and drop off longitudes.\n","- Platd and Dlatd are highly correlated. but they represent the pick up and drop off lattitudes.\n","- Temp and GroundTemp are highly correlated, and Temp has more correlation with Duration (target data) when compared with GroundTemp."]},{"cell_type":"markdown","id":"e8e3d85c","metadata":{"execution":{"iopub.execute_input":"2023-10-22T16:50:46.203665Z","iopub.status.busy":"2023-10-22T16:50:46.203298Z","iopub.status.idle":"2023-10-22T16:50:46.20816Z","shell.execute_reply":"2023-10-22T16:50:46.207122Z","shell.execute_reply.started":"2023-10-22T16:50:46.203636Z"},"papermill":{"duration":0.038791,"end_time":"2023-10-26T18:14:57.650222","exception":false,"start_time":"2023-10-26T18:14:57.611431","status":"completed"},"tags":[]},"source":["## **3. Data Preparation and Splitting**"]},{"cell_type":"code","execution_count":33,"id":"a5e90fff","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:57.729919Z","iopub.status.busy":"2023-10-26T18:14:57.729539Z","iopub.status.idle":"2023-10-26T18:14:57.737466Z","shell.execute_reply":"2023-10-26T18:14:57.736228Z"},"papermill":{"duration":0.050034,"end_time":"2023-10-26T18:14:57.739915","exception":false,"start_time":"2023-10-26T18:14:57.689881","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Index(['Duration', 'Distance', 'PLong', 'PLatd', 'DLong', 'DLatd', 'Haversine',\n","       'Pmonth', 'Pday', 'Phour', 'Pmin', 'PDweek', 'Dmonth', 'Dday', 'Dhour',\n","       'Dmin', 'DDweek', 'Temp', 'Precip', 'Wind', 'Humid', 'Solar', 'Snow',\n","       'GroundTemp', 'Dust'],\n","      dtype='object')"]},"execution_count":33,"metadata":{},"output_type":"execute_result"}],"source":["df.columns"]},{"cell_type":"code","execution_count":34,"id":"bf26cda7","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:57.820058Z","iopub.status.busy":"2023-10-26T18:14:57.819673Z","iopub.status.idle":"2023-10-26T18:14:57.826594Z","shell.execute_reply":"2023-10-26T18:14:57.825457Z"},"papermill":{"duration":0.050208,"end_time":"2023-10-26T18:14:57.828977","exception":false,"start_time":"2023-10-26T18:14:57.778769","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(8646056, 25)"]},"execution_count":34,"metadata":{},"output_type":"execute_result"}],"source":["df.shape"]},{"cell_type":"code","execution_count":35,"id":"d6f4ff5b","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:14:57.909666Z","iopub.status.busy":"2023-10-26T18:14:57.909103Z","iopub.status.idle":"2023-10-26T18:15:01.494194Z","shell.execute_reply":"2023-10-26T18:15:01.493191Z"},"papermill":{"duration":3.627955,"end_time":"2023-10-26T18:15:01.497029","exception":false,"start_time":"2023-10-26T18:14:57.869074","status":"completed"},"tags":[]},"outputs":[],"source":["x = df.drop('Duration', axis=1)\n","y = df['Duration']\n","\n","X_train, X_test, y_train, y_test = train_test_split(x, y, test_size=0.25, random_state=40)"]},{"cell_type":"code","execution_count":36,"id":"0aaf44fd","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:15:01.576182Z","iopub.status.busy":"2023-10-26T18:15:01.575788Z","iopub.status.idle":"2023-10-26T18:15:01.581347Z","shell.execute_reply":"2023-10-26T18:15:01.580391Z"},"papermill":{"duration":0.048987,"end_time":"2023-10-26T18:15:01.584306","exception":false,"start_time":"2023-10-26T18:15:01.535319","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["shape of X_train:  (6484542, 24)\n","shape of Y_train:  (6484542,)\n","shape of X_test:  (2161514, 24)\n","shape of Y_test:  (2161514,)\n"]}],"source":["print(\"shape of X_train: \",X_train.shape)\n","print(\"shape of Y_train: \",y_train.shape)\n","print(\"shape of X_test: \",X_test.shape)\n","print(\"shape of Y_test: \",y_test.shape)"]},{"cell_type":"code","execution_count":37,"id":"23680879","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:15:01.669067Z","iopub.status.busy":"2023-10-26T18:15:01.668672Z","iopub.status.idle":"2023-10-26T18:15:01.676668Z","shell.execute_reply":"2023-10-26T18:15:01.67538Z"},"papermill":{"duration":0.053342,"end_time":"2023-10-26T18:15:01.679571","exception":false,"start_time":"2023-10-26T18:15:01.626229","status":"completed"},"tags":[]},"outputs":[],"source":["def get_metrics(y_true, predictions):\n","  mae = mean_absolute_error(y_true, predictions)\n","  mse = mean_squared_error(y_true, predictions)\n","  rmse = mean_squared_error(y_true, predictions)**0.5\n","  r2 = r2_score(y_true, predictions)\n","\n","  print(\"=\"*50)\n","  print(f\"MAE: {mae}\")\n","  print(f\"MSE: {mse}\")\n","  print(f\"RMSE: {rmse}\")\n","  print(f\"r2 Score: {r2}\")\n","  print(\"=\"*50)\n","\n","  # Return a dictionary containing the evaluation metrics.\n","  return {\"mae\": mae, \"mse\": mse, \"rmse\": rmse, \"r2\": r2}"]},{"cell_type":"code","execution_count":38,"id":"c1694805","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:15:01.759677Z","iopub.status.busy":"2023-10-26T18:15:01.759245Z","iopub.status.idle":"2023-10-26T18:15:05.436052Z","shell.execute_reply":"2023-10-26T18:15:05.434802Z"},"papermill":{"duration":3.719409,"end_time":"2023-10-26T18:15:05.438802","exception":false,"start_time":"2023-10-26T18:15:01.719393","status":"completed"},"tags":[]},"outputs":[],"source":["# Scaling the data \n","scaler = StandardScaler()\n","scaled_X_train = scaler.fit_transform(X_train)\n","scaled_X_test = scaler.fit_transform(X_test)"]},{"cell_type":"markdown","id":"a2d64a74","metadata":{"papermill":{"duration":0.038291,"end_time":"2023-10-26T18:15:05.517058","exception":false,"start_time":"2023-10-26T18:15:05.478767","status":"completed"},"tags":[]},"source":["## **4. Model Training and Evaluating**"]},{"cell_type":"markdown","id":"f59a85e3","metadata":{"execution":{"iopub.execute_input":"2023-10-24T12:17:58.483622Z","iopub.status.busy":"2023-10-24T12:17:58.483187Z","iopub.status.idle":"2023-10-24T12:17:58.489117Z","shell.execute_reply":"2023-10-24T12:17:58.487875Z","shell.execute_reply.started":"2023-10-24T12:17:58.483587Z"},"papermill":{"duration":0.04014,"end_time":"2023-10-26T18:15:05.596794","exception":false,"start_time":"2023-10-26T18:15:05.556654","status":"completed"},"tags":[]},"source":["### 4.1 Linear Regression"]},{"cell_type":"code","execution_count":39,"id":"e9595b55","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:15:05.678635Z","iopub.status.busy":"2023-10-26T18:15:05.677851Z","iopub.status.idle":"2023-10-26T18:15:05.683477Z","shell.execute_reply":"2023-10-26T18:15:05.682517Z"},"papermill":{"duration":0.049548,"end_time":"2023-10-26T18:15:05.68587","exception":false,"start_time":"2023-10-26T18:15:05.636322","status":"completed"},"tags":[]},"outputs":[],"source":["def lrm_train_test(scaled_X_train, y_train,scaled_X_test, y_test):\n","    lrm = LinearRegression()\n","    lrm.fit(scaled_X_train, y_train)\n","    lrm_preds = lrm.predict(scaled_X_test)\n","    lrm_metrics = get_metrics(y_test, lrm_preds)\n","    return (lrm, lrm_metrics)"]},{"cell_type":"code","execution_count":40,"id":"23f37a20","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:15:05.767457Z","iopub.status.busy":"2023-10-26T18:15:05.766842Z","iopub.status.idle":"2023-10-26T18:15:16.996862Z","shell.execute_reply":"2023-10-26T18:15:16.995347Z"},"papermill":{"duration":11.280213,"end_time":"2023-10-26T18:15:17.005803","exception":false,"start_time":"2023-10-26T18:15:05.72559","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["==================================================\n","MAE: 12.133211491600493\n","MSE: 349.88901284832247\n","RMSE: 18.705320442278513\n","r2 Score: 0.33055044605026196\n","==================================================\n","       Feature  Coefficient\n","0       Dmonth    22.139869\n","1    Haversine    12.343979\n","2         Temp     3.443900\n","3         Dday     1.608016\n","4        Dhour     1.554036\n","5        Solar     1.528050\n","6       DDweek     1.459193\n","7        Phour     0.520972\n","8        PLatd     0.439909\n","9         Wind     0.126851\n","10        Pmin     0.081898\n","11        Snow     0.067983\n","12      Precip     0.007651\n","13    Distance    -0.073327\n","14      PDweek    -0.078514\n","15        Dust    -0.153941\n","16        Dmin    -0.166162\n","17       PLong    -0.195677\n","18       DLong    -0.425696\n","19       DLatd    -0.488493\n","20       Humid    -1.151783\n","21        Pday    -1.756183\n","22  GroundTemp    -2.290364\n","23      Pmonth   -22.339007\n"]}],"source":["lrm1, lrm1_metrics = lrm_train_test(scaled_X_train, y_train,scaled_X_test, y_test)\n","\n","coefs_array = lrm1.coef_     # Get the coefficients of the model as a NumPy array\n","# Get the feature names\n","features = ['Distance', 'PLong', 'PLatd', 'DLong', 'DLatd', 'Haversine',\n","       'Pmonth', 'Pday', 'Phour', 'Pmin', 'PDweek', 'Dmonth', 'Dday', 'Dhour',\n","       'Dmin', 'DDweek', 'Temp', 'Precip', 'Wind', 'Humid', 'Solar', 'Snow',\n","       'GroundTemp', 'Dust']\n","\n","# Map the coefficients to the features using the zip() function\n","coefs_dict = dict(zip(features, coefs_array))\n","\n","# Sort the coefficients dictionary in descending order by value\n","coefs_sorted = sorted(coefs_dict.items(), key=lambda x: x[1], reverse=True)\n","\n","# Create a Pandas DataFrame from the coefficients dictionary\n","coefs_df = pd.DataFrame(coefs_sorted, columns=['Feature', 'Coefficient'])\n","\n","# Print the DataFrame\n","print(coefs_df.to_string())"]},{"cell_type":"markdown","id":"07430aa0","metadata":{"papermill":{"duration":0.041314,"end_time":"2023-10-26T18:15:17.093717","exception":false,"start_time":"2023-10-26T18:15:17.052403","status":"completed"},"tags":[]},"source":["1. The coefficient for the **Dmonth** feature is positive and large, which means that an increase in the month of the year is associated with an increase in the predicted value. \n","2. The coefficient for the **PDweek** feature is negative, which means that an increase in the day of the week is associated with a decrease in the predicted value.\n","\n","> **NOTE:** The most important features in our model are the ones with the largest coefficients, both in absolute value and in relation to the other coefficients. In this case, the most important features are _Dmonth, Haversine, and Temp._"]},{"cell_type":"code","execution_count":41,"id":"3f28b45e","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:15:17.177758Z","iopub.status.busy":"2023-10-26T18:15:17.177355Z","iopub.status.idle":"2023-10-26T18:15:17.185308Z","shell.execute_reply":"2023-10-26T18:15:17.183984Z"},"papermill":{"duration":0.052562,"end_time":"2023-10-26T18:15:17.187756","exception":false,"start_time":"2023-10-26T18:15:17.135194","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Index(['Distance', 'PLong', 'PLatd', 'DLong', 'DLatd', 'Haversine', 'Pmonth',\n","       'Pday', 'Phour', 'Pmin', 'PDweek', 'Dmonth', 'Dday', 'Dhour', 'Dmin',\n","       'DDweek', 'Temp', 'Precip', 'Wind', 'Humid', 'Solar', 'Snow',\n","       'GroundTemp', 'Dust'],\n","      dtype='object')"]},"execution_count":41,"metadata":{},"output_type":"execute_result"}],"source":["x.columns"]},{"cell_type":"code","execution_count":42,"id":"c44c632d","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:15:17.271184Z","iopub.status.busy":"2023-10-26T18:15:17.269596Z","iopub.status.idle":"2023-10-26T18:15:17.278214Z","shell.execute_reply":"2023-10-26T18:15:17.277352Z"},"papermill":{"duration":0.052044,"end_time":"2023-10-26T18:15:17.280513","exception":false,"start_time":"2023-10-26T18:15:17.228469","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["['Haversine', 'Pmonth', 'Pday', 'Phour', 'Dmonth', 'Dday', 'Dhour', 'DDweek', 'Temp', 'Humid', 'Solar', 'GroundTemp']\n","['Distance', 'PLong', 'PLatd', 'DLong', 'DLatd', 'Pmin', 'PDweek', 'Dmin', 'Precip', 'Wind', 'Snow', 'Dust']\n"]}],"source":["# Create a list of the important features\n","important_features = []\n","for i in range(len(coefs_array)):\n","    if abs(coefs_array[i]) >= 0.50:\n","        important_features.append(features[i])\n","\n","print(important_features)\n","\n","not_important = [col for col in x.columns if col not in important_features]\n","\n","# Print the list of unimportant columns\n","print(not_important)"]},{"cell_type":"code","execution_count":43,"id":"f83c3179","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:15:17.361668Z","iopub.status.busy":"2023-10-26T18:15:17.361132Z","iopub.status.idle":"2023-10-26T18:15:17.482351Z","shell.execute_reply":"2023-10-26T18:15:17.481012Z"},"papermill":{"duration":0.165477,"end_time":"2023-10-26T18:15:17.485233","exception":false,"start_time":"2023-10-26T18:15:17.319756","status":"completed"},"tags":[]},"outputs":[],"source":["# Create a new dataframe with only the important features\n","a = x[important_features]\n","b = y"]},{"cell_type":"code","execution_count":44,"id":"badac9d6","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:15:17.570369Z","iopub.status.busy":"2023-10-26T18:15:17.569908Z","iopub.status.idle":"2023-10-26T18:15:24.16213Z","shell.execute_reply":"2023-10-26T18:15:24.160737Z"},"papermill":{"duration":6.638751,"end_time":"2023-10-26T18:15:24.166307","exception":false,"start_time":"2023-10-26T18:15:17.527556","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["==================================================\n","MAE: 12.139408111572266\n","MSE: 350.35626220703125\n","RMSE: 18.717806020125096\n","r2 Score: 0.3296564053724067\n","==================================================\n"]}],"source":["a_train, a_test, b_train, b_test = train_test_split(a, b, test_size=0.25, random_state=40)\n","# Scaling the data \n","scaler = StandardScaler()\n","scaled_a_train = scaler.fit_transform(a_train)\n","scaled_a_test = scaler.fit_transform(a_test)\n","\n","lrm_2 = lrm_train_test(scaled_a_train, b_train,scaled_a_test, b_test)"]},{"cell_type":"markdown","id":"a6cc847a","metadata":{"papermill":{"duration":0.039078,"end_time":"2023-10-26T18:15:24.26934","exception":false,"start_time":"2023-10-26T18:15:24.230262","status":"completed"},"tags":[]},"source":["### 4.2 XGBoost Regressor"]},{"cell_type":"code","execution_count":45,"id":"d8109fa9","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:15:24.349194Z","iopub.status.busy":"2023-10-26T18:15:24.348834Z","iopub.status.idle":"2023-10-26T18:17:27.894515Z","shell.execute_reply":"2023-10-26T18:17:27.893193Z"},"papermill":{"duration":123.628968,"end_time":"2023-10-26T18:17:27.937199","exception":false,"start_time":"2023-10-26T18:15:24.308231","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>XGBRegressor(base_score=None, booster=None, callbacks=None,\n","             colsample_bylevel=None, colsample_bynode=None,\n","             colsample_bytree=None, early_stopping_rounds=None,\n","             enable_categorical=False, eval_metric=None, feature_types=None,\n","             gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n","             interaction_constraints=None, learning_rate=None, max_bin=None,\n","             max_cat_threshold=None, max_cat_to_onehot=None,\n","             max_delta_step=None, max_depth=None, max_leaves=None,\n","             min_child_weight=None, missing=nan, monotone_constraints=None,\n","             n_estimators=100, n_jobs=None, num_parallel_tree=None,\n","             predictor=None, random_state=20, ...)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">XGBRegressor</label><div class=\"sk-toggleable__content\"><pre>XGBRegressor(base_score=None, booster=None, callbacks=None,\n","             colsample_bylevel=None, colsample_bynode=None,\n","             colsample_bytree=None, early_stopping_rounds=None,\n","             enable_categorical=False, eval_metric=None, feature_types=None,\n","             gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n","             interaction_constraints=None, learning_rate=None, max_bin=None,\n","             max_cat_threshold=None, max_cat_to_onehot=None,\n","             max_delta_step=None, max_depth=None, max_leaves=None,\n","             min_child_weight=None, missing=nan, monotone_constraints=None,\n","             n_estimators=100, n_jobs=None, num_parallel_tree=None,\n","             predictor=None, random_state=20, ...)</pre></div></div></div></div></div>"],"text/plain":["XGBRegressor(base_score=None, booster=None, callbacks=None,\n","             colsample_bylevel=None, colsample_bynode=None,\n","             colsample_bytree=None, early_stopping_rounds=None,\n","             enable_categorical=False, eval_metric=None, feature_types=None,\n","             gamma=None, gpu_id=None, grow_policy=None, importance_type=None,\n","             interaction_constraints=None, learning_rate=None, max_bin=None,\n","             max_cat_threshold=None, max_cat_to_onehot=None,\n","             max_delta_step=None, max_depth=None, max_leaves=None,\n","             min_child_weight=None, missing=nan, monotone_constraints=None,\n","             n_estimators=100, n_jobs=None, num_parallel_tree=None,\n","             predictor=None, random_state=20, ...)"]},"execution_count":45,"metadata":{},"output_type":"execute_result"}],"source":["xgb = XGBRegressor(random_state=20)\n","xgb.fit(X_train, y_train)"]},{"cell_type":"code","execution_count":46,"id":"705fc788","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:17:28.02566Z","iopub.status.busy":"2023-10-26T18:17:28.025207Z","iopub.status.idle":"2023-10-26T18:17:30.410016Z","shell.execute_reply":"2023-10-26T18:17:30.40893Z"},"papermill":{"duration":2.430506,"end_time":"2023-10-26T18:17:30.412485","exception":false,"start_time":"2023-10-26T18:17:27.981979","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Metrics for test data predictions\n","==================================================\n","MAE: 2.8198184967041016\n","MSE: 27.051088333129883\n","RMSE: 5.20106607659717\n","r2 Score: 0.9482426267985536\n","==================================================\n"]},{"data":{"text/plain":["{'mae': 2.8198185,\n"," 'mse': 27.051088,\n"," 'rmse': 5.20106607659717,\n"," 'r2': 0.9482426267985536}"]},"execution_count":46,"metadata":{},"output_type":"execute_result"}],"source":["xgb_preds = xgb.predict(X_test)\n","print(\"Metrics for test data predictions\")\n","xgb_test_metrics = get_metrics(y_test, xgb_preds)\n","xgb_test_metrics"]},{"cell_type":"code","execution_count":47,"id":"112ead86","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:17:30.498624Z","iopub.status.busy":"2023-10-26T18:17:30.497603Z","iopub.status.idle":"2023-10-26T18:17:37.669476Z","shell.execute_reply":"2023-10-26T18:17:37.668241Z"},"papermill":{"duration":7.217797,"end_time":"2023-10-26T18:17:37.672015","exception":false,"start_time":"2023-10-26T18:17:30.454218","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Metrics for train data predictions\n","==================================================\n","MAE: 2.808656692504883\n","MSE: 26.583017349243164\n","RMSE: 5.155872123049908\n","r2 Score: 0.9491534134095865\n","==================================================\n"]},{"data":{"text/plain":["{'mae': 2.8086567,\n"," 'mse': 26.583017,\n"," 'rmse': 5.155872123049908,\n"," 'r2': 0.9491534134095865}"]},"execution_count":47,"metadata":{},"output_type":"execute_result"}],"source":["print(\"Metrics for train data predictions\")\n","xgb_train_metrics = get_metrics(y_train, xgb.predict(X_train))\n","xgb_train_metrics"]},{"cell_type":"markdown","id":"98214b8a","metadata":{"papermill":{"duration":0.04165,"end_time":"2023-10-26T18:17:37.755689","exception":false,"start_time":"2023-10-26T18:17:37.714039","status":"completed"},"tags":[]},"source":["### 4.3 LightXGM Boost Regressor"]},{"cell_type":"code","execution_count":48,"id":"9ebbae42","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:17:37.841428Z","iopub.status.busy":"2023-10-26T18:17:37.84102Z","iopub.status.idle":"2023-10-26T18:17:39.14462Z","shell.execute_reply":"2023-10-26T18:17:39.143334Z"},"papermill":{"duration":1.349661,"end_time":"2023-10-26T18:17:39.147303","exception":false,"start_time":"2023-10-26T18:17:37.797642","status":"completed"},"tags":[]},"outputs":[],"source":["from lightgbm import LGBMRegressor"]},{"cell_type":"code","execution_count":49,"id":"213df266","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:17:39.234265Z","iopub.status.busy":"2023-10-26T18:17:39.233149Z","iopub.status.idle":"2023-10-26T18:18:42.757315Z","shell.execute_reply":"2023-10-26T18:18:42.755915Z"},"papermill":{"duration":63.612912,"end_time":"2023-10-26T18:18:42.801824","exception":false,"start_time":"2023-10-26T18:17:39.188912","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LGBMRegressor(random_state=20)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LGBMRegressor</label><div class=\"sk-toggleable__content\"><pre>LGBMRegressor(random_state=20)</pre></div></div></div></div></div>"],"text/plain":["LGBMRegressor(random_state=20)"]},"execution_count":49,"metadata":{},"output_type":"execute_result"}],"source":["lgbm = LGBMRegressor(random_state=20, n_jobs=-1)\n","lgbm.fit(X_train, y_train)"]},{"cell_type":"code","execution_count":50,"id":"1fcc09f9","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:18:42.892737Z","iopub.status.busy":"2023-10-26T18:18:42.892317Z","iopub.status.idle":"2023-10-26T18:18:48.120857Z","shell.execute_reply":"2023-10-26T18:18:48.119361Z"},"papermill":{"duration":5.279086,"end_time":"2023-10-26T18:18:48.123395","exception":false,"start_time":"2023-10-26T18:18:42.844309","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["==================================================\n","MAE: 4.803510089027296\n","MSE: 68.85425148407442\n","RMSE: 8.29784619549401\n","r2 Score: 0.868259801677343\n","==================================================\n"]},{"data":{"text/plain":["{'mae': 4.803510089027296,\n"," 'mse': 68.85425148407442,\n"," 'rmse': 8.29784619549401,\n"," 'r2': 0.868259801677343}"]},"execution_count":50,"metadata":{},"output_type":"execute_result"}],"source":["lgbm_preds = lgbm.predict(X_test)\n","lightgbm_metrics = get_metrics(y_test, lgbm_preds)\n","lightgbm_metrics"]},{"cell_type":"markdown","id":"8030fe69","metadata":{"papermill":{"duration":0.043428,"end_time":"2023-10-26T18:18:48.210481","exception":false,"start_time":"2023-10-26T18:18:48.167053","status":"completed"},"tags":[]},"source":["### 4.4 Random Forest Regressor"]},{"cell_type":"code","execution_count":51,"id":"d3d76f3d","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:18:48.300615Z","iopub.status.busy":"2023-10-26T18:18:48.299929Z","iopub.status.idle":"2023-10-26T18:18:49.321764Z","shell.execute_reply":"2023-10-26T18:18:49.320552Z"},"papermill":{"duration":1.070445,"end_time":"2023-10-26T18:18:49.324779","exception":false,"start_time":"2023-10-26T18:18:48.254334","status":"completed"},"tags":[]},"outputs":[],"source":["xrf = x.sample(frac=0.06, random_state=20)\n","yrf = y.sample(frac=0.06, random_state=20)"]},{"cell_type":"code","execution_count":52,"id":"aa018c30","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:18:49.413071Z","iopub.status.busy":"2023-10-26T18:18:49.412675Z","iopub.status.idle":"2023-10-26T18:18:49.417985Z","shell.execute_reply":"2023-10-26T18:18:49.416886Z"},"papermill":{"duration":0.051751,"end_time":"2023-10-26T18:18:49.420493","exception":false,"start_time":"2023-10-26T18:18:49.368742","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["(518763, 24)\n","(518763,)\n"]}],"source":["print(xrf.shape)\n","print(yrf.shape)"]},{"cell_type":"code","execution_count":53,"id":"7213e37e","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:18:49.509037Z","iopub.status.busy":"2023-10-26T18:18:49.508616Z","iopub.status.idle":"2023-10-26T18:18:49.634582Z","shell.execute_reply":"2023-10-26T18:18:49.633141Z"},"papermill":{"duration":0.173775,"end_time":"2023-10-26T18:18:49.637453","exception":false,"start_time":"2023-10-26T18:18:49.463678","status":"completed"},"tags":[]},"outputs":[],"source":["Xrf_train, Xrf_test, yrf_train, yrf_test = train_test_split(xrf, yrf, test_size=0.25, random_state=40)"]},{"cell_type":"code","execution_count":54,"id":"146c19d1","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:18:49.725897Z","iopub.status.busy":"2023-10-26T18:18:49.725471Z","iopub.status.idle":"2023-10-26T18:18:49.733591Z","shell.execute_reply":"2023-10-26T18:18:49.732344Z"},"papermill":{"duration":0.054955,"end_time":"2023-10-26T18:18:49.736053","exception":false,"start_time":"2023-10-26T18:18:49.681098","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["'\\nrf = RandomForestRegressor(random_state=20)\\nrf.fit(Xrf_train, yrf_train)\\nrf_preds = rf.predict(Xrf_test)\\nrf_test_metrics = get_metrics(yrf_test, rf_preds)\\nprint(\"Metrics for test data predictions\")\\nrf_test_metrics\\nprint(\"Metrics for train data predictions\")\\nrf_train_metrics = get_metrics(yrf_train, rf.predict(xrftrain))\\n'"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["\"\"\"\n","rf = RandomForestRegressor(random_state=20)\n","rf.fit(Xrf_train, yrf_train)\n","rf_preds = rf.predict(Xrf_test)\n","rf_test_metrics = get_metrics(yrf_test, rf_preds)\n","print(\"Metrics for test data predictions\")\n","rf_test_metrics\n","print(\"Metrics for train data predictions\")\n","rf_train_metrics = get_metrics(yrf_train, rf.predict(xrftrain))\n","\"\"\""]},{"cell_type":"code","execution_count":55,"id":"e05d21ff","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:18:49.824509Z","iopub.status.busy":"2023-10-26T18:18:49.824083Z","iopub.status.idle":"2023-10-26T18:18:49.829642Z","shell.execute_reply":"2023-10-26T18:18:49.828537Z"},"papermill":{"duration":0.05298,"end_time":"2023-10-26T18:18:49.831954","exception":false,"start_time":"2023-10-26T18:18:49.778974","status":"completed"},"tags":[]},"outputs":[],"source":["# after running the above code the following results were achieved\n","rf_test_metrics = {}\n","# Enter the MAE value.\n","rf_test_metrics[\"mae\"] = 3.830127605873447\n","# Enter the MSE value.\n","rf_test_metrics[\"mse\"] = 62.34920124083568\n","# Enter the RMSE value.\n","rf_test_metrics[\"rmse\"] = 7.8961510396417625\n","# Enter the r2 score.\n","rf_test_metrics[\"r2\"] = 0.8818096688564994"]},{"cell_type":"code","execution_count":56,"id":"dfce1698","metadata":{"execution":{"iopub.execute_input":"2023-10-26T18:18:49.919551Z","iopub.status.busy":"2023-10-26T18:18:49.919108Z","iopub.status.idle":"2023-10-26T18:18:49.958444Z","shell.execute_reply":"2023-10-26T18:18:49.957312Z"},"papermill":{"duration":0.086193,"end_time":"2023-10-26T18:18:49.961124","exception":false,"start_time":"2023-10-26T18:18:49.874931","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["\u001b[1m\u001b[4mModel Performance Comparison\u001b[0m\n","╒══════════╤═════════════════════╤═════════════════════╤══════════════════════╤═══════════════════════════╕\n","│ Metric   │   Linear Regression │   XGBoost Regressor │   LightGBM Regressor │   Random Forest Regressor │\n","╞══════════╪═════════════════════╪═════════════════════╪══════════════════════╪═══════════════════════════╡\n","│ MAE      │               12.13 │                2.82 │                 4.8  │                      3.83 │\n","├──────────┼─────────────────────┼─────────────────────┼──────────────────────┼───────────────────────────┤\n","│ MSE      │              349.89 │               27.05 │                68.85 │                     62.35 │\n","├──────────┼─────────────────────┼─────────────────────┼──────────────────────┼───────────────────────────┤\n","│ RMSE     │               18.71 │                5.2  │                 8.3  │                      7.9  │\n","├──────────┼─────────────────────┼─────────────────────┼──────────────────────┼───────────────────────────┤\n","│ R2       │                0.33 │                0.95 │                 0.87 │                      0.88 │\n","╘══════════╧═════════════════════╧═════════════════════╧══════════════════════╧═══════════════════════════╛\n"]}],"source":["import tabulate\n","\n","from tabulate import tabulate\n","\n","# Create a dictionary to store the metric values\n","evaluation_metrics = {\n","    \"Metric\": [\"MAE\", \"MSE\", \"RMSE\", \"R2\"],\n","    \"Linear Regression\": [lrm1_metrics[\"mae\"], lrm1_metrics[\"mse\"], lrm1_metrics[\"rmse\"], lrm1_metrics[\"r2\"]],\n","    \"XGBoost Regressor\": [xgb_test_metrics[\"mae\"], xgb_test_metrics[\"mse\"], xgb_test_metrics[\"rmse\"], xgb_test_metrics[\"r2\"]],\n","    \"LightGBM Regressor\": [lightgbm_metrics[\"mae\"], lightgbm_metrics[\"mse\"], lightgbm_metrics[\"rmse\"], lightgbm_metrics[\"r2\"]],\n","    \"Random Forest Regressor\": [rf_test_metrics[\"mae\"], rf_test_metrics[\"mse\"], rf_test_metrics[\"rmse\"], rf_test_metrics[\"r2\"]]\n","}\n","\n","# Format the dictionary values by rounding to 2 decimal places\n","for key in evaluation_metrics:\n","    if key != \"Metric\":\n","        evaluation_metrics[key] = [round(value, 2) for value in evaluation_metrics[key]]\n","\n","\n","# Format the dictionary as a table\n","table = tabulate(evaluation_metrics, headers='keys', tablefmt='fancy_grid')\n","\n","# table title\n","print(\"\\033[1m\\033[4mModel Performance Comparison\\033[0m\")\n","\n","# Print the tabulated comparison\n","print(table)"]},{"cell_type":"markdown","id":"d56f44e0","metadata":{"papermill":{"duration":0.045347,"end_time":"2023-10-26T18:18:50.049886","exception":false,"start_time":"2023-10-26T18:18:50.004539","status":"completed"},"tags":[]},"source":["___"]},{"cell_type":"markdown","id":"483b1c2e","metadata":{"papermill":{"duration":0.042865,"end_time":"2023-10-26T18:18:50.141934","exception":false,"start_time":"2023-10-26T18:18:50.099069","status":"completed"},"tags":[]},"source":["## **Conclusion:**\n","\n","Based on the table, the XGBoost Regressor has the best overall performance, followed by the LightGBM Regressor, the Random Forest Regressor, and the Linear Regression model.\n","\n","The XGBoost Regressor has the lowest MAE, MSE, and RMSE scores, and the highest R2 score. This means that it is the most accurate model at predicting the target variable, and it explains the most variation in the target variable.\n","\n","The LightGBM Regressor has the second-best overall performance, with slightly higher MAE, MSE, and RMSE scores than the XGBoost Regressor, and a slightly lower R2 score. However, it is still a very accurate model, and it is often faster than the XGBoost Regressor to train and predict.\n","\n","The Random Forest Regressor has the third-best overall performance, with slightly higher MAE, MSE, and RMSE scores than the LightGBM Regressor, and a slightly lower R2 score. However, it is still a good model for regression tasks, and it is often less sensitive to overfitting than other models.\n","\n","The Linear Regression model has the worst overall performance, with the highest MAE, MSE, and RMSE scores, and the lowest R2 score. This means that it is the least accurate model at predicting the target variable, and it explains the least variation in the target variable. However, it is still a useful model for simple regression tasks, and it is often very fast to train and predict."]},{"cell_type":"markdown","id":"0813abfb","metadata":{"papermill":{"duration":0.042326,"end_time":"2023-10-26T18:18:50.22805","exception":false,"start_time":"2023-10-26T18:18:50.185724","status":"completed"},"tags":[]},"source":["___"]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.12"},"papermill":{"default_parameters":{},"duration":357.096319,"end_time":"2023-10-26T18:18:51.31591","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2023-10-26T18:12:54.219591","version":"2.4.0"}},"nbformat":4,"nbformat_minor":5}