malaria-in-africa-2007-2017.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/ayudewi/malaria-in-africa-2007-2017?scriptVersionId=120458607\" 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","outputs":[],"execution_count":0},{"cell_type":"code","execution_count":1,"id":"aada25c2","metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","execution":{"iopub.execute_input":"2023-02-27T07:28:07.277395Z","iopub.status.busy":"2023-02-27T07:28:07.276905Z","iopub.status.idle":"2023-02-27T07:28:07.296056Z","shell.execute_reply":"2023-02-27T07:28:07.295009Z"},"papermill":{"duration":0.033433,"end_time":"2023-02-27T07:28:07.298598","exception":false,"start_time":"2023-02-27T07:28:07.265165","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["/kaggle/input/malaria-in-africa/DatasetAfricaMalaria.csv\n","/kaggle/input/world-shapefile/world_shapefile.dbf\n","/kaggle/input/world-shapefile/world_shapefile.shx\n","/kaggle/input/world-shapefile/Readme.txt\n","/kaggle/input/world-shapefile/world_shapefile.shp\n"]}],"source":["# This Python 3 environment comes with many helpful analytics libraries installed\n","# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n","# For example, here's several helpful packages to load\n","\n","import numpy as np # linear algebra\n","import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n","\n","# Input data files are available in the read-only \"../input/\" directory\n","# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n","\n","import os\n","for dirname, _, filenames in os.walk('/kaggle/input'):\n","    for filename in filenames:\n","        print(os.path.join(dirname, filename))\n","\n","# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n","# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"]},{"cell_type":"markdown","id":"1ca65aca","metadata":{"papermill":{"duration":0.008195,"end_time":"2023-02-27T07:28:07.315808","exception":false,"start_time":"2023-02-27T07:28:07.307613","status":"completed"},"tags":[]},"source":["### Install packages"]},{"cell_type":"code","execution_count":2,"id":"36b78cf6","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:07.334724Z","iopub.status.busy":"2023-02-27T07:28:07.333968Z","iopub.status.idle":"2023-02-27T07:28:09.438223Z","shell.execute_reply":"2023-02-27T07:28:09.436968Z"},"papermill":{"duration":2.116518,"end_time":"2023-02-27T07:28:09.44074","exception":false,"start_time":"2023-02-27T07:28:07.324222","status":"completed"},"tags":[]},"outputs":[],"source":["import pandas as pd \n","import matplotlib.pyplot as plt \n","import seaborn as sns\n","import folium as fol\n","import plotly.express as px\n"]},{"cell_type":"markdown","id":"bb82deec","metadata":{"papermill":{"duration":0.008078,"end_time":"2023-02-27T07:28:09.457474","exception":false,"start_time":"2023-02-27T07:28:09.449396","status":"completed"},"tags":[]},"source":["### Add data and check"]},{"cell_type":"code","execution_count":3,"id":"ddea0e30","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:09.47739Z","iopub.status.busy":"2023-02-27T07:28:09.476977Z","iopub.status.idle":"2023-02-27T07:28:09.526166Z","shell.execute_reply":"2023-02-27T07:28:09.52501Z"},"papermill":{"duration":0.06107,"end_time":"2023-02-27T07:28:09.528499","exception":false,"start_time":"2023-02-27T07:28:09.467429","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>Country Name</th>\n","      <th>Year</th>\n","      <th>Country Code</th>\n","      <th>Incidence of malaria (per 1,000 population at risk)</th>\n","      <th>Malaria cases reported</th>\n","      <th>Use of insecticide-treated bed nets (% of under-5 population)</th>\n","      <th>Children with fever receiving antimalarial drugs (% of children under age 5 with fever)</th>\n","      <th>Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)</th>\n","      <th>People using safely managed drinking water services (% of population)</th>\n","      <th>People using safely managed drinking water services, rural (% of rural population)</th>\n","      <th>...</th>\n","      <th>Urban population growth (annual %)</th>\n","      <th>People using at least basic drinking water services (% of population)</th>\n","      <th>People using at least basic drinking water services, rural (% of rural population)</th>\n","      <th>People using at least basic drinking water services, urban (% of urban population)</th>\n","      <th>People using at least basic sanitation services (% of population)</th>\n","      <th>People using at least basic sanitation services, rural (% of rural population)</th>\n","      <th>People using at least basic sanitation services, urban  (% of urban population)</th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","      <th>geometry</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Algeria</td>\n","      <td>2007</td>\n","      <td>DZA</td>\n","      <td>0.01</td>\n","      <td>26.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>2.71</td>\n","      <td>91.68</td>\n","      <td>85.83</td>\n","      <td>94.78</td>\n","      <td>85.85</td>\n","      <td>76.94</td>\n","      <td>90.57</td>\n","      <td>28.033886</td>\n","      <td>1.659626</td>\n","      <td>POINT (28.033886 1.659626)</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Angola</td>\n","      <td>2007</td>\n","      <td>AGO</td>\n","      <td>286.72</td>\n","      <td>1533485.0</td>\n","      <td>18.0</td>\n","      <td>29.8</td>\n","      <td>1.5</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>5.01</td>\n","      <td>47.96</td>\n","      <td>23.77</td>\n","      <td>65.83</td>\n","      <td>37.26</td>\n","      <td>14.00</td>\n","      <td>54.44</td>\n","      <td>-11.202692</td>\n","      <td>17.873887</td>\n","      <td>POINT (-11.202692 17.873887)</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Benin</td>\n","      <td>2007</td>\n","      <td>BEN</td>\n","      <td>480.24</td>\n","      <td>0.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>4.09</td>\n","      <td>63.78</td>\n","      <td>54.92</td>\n","      <td>76.24</td>\n","      <td>11.80</td>\n","      <td>4.29</td>\n","      <td>22.36</td>\n","      <td>9.307690</td>\n","      <td>2.315834</td>\n","      <td>POINT (9.307689999999999 2.315834)</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Botswana</td>\n","      <td>2007</td>\n","      <td>BWA</td>\n","      <td>1.03</td>\n","      <td>390.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>4.80</td>\n","      <td>78.89</td>\n","      <td>57.60</td>\n","      <td>94.35</td>\n","      <td>61.60</td>\n","      <td>39.99</td>\n","      <td>77.30</td>\n","      <td>-22.328474</td>\n","      <td>24.684866</td>\n","      <td>POINT (-22.328474 24.684866)</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Burkina Faso</td>\n","      <td>2007</td>\n","      <td>BFA</td>\n","      <td>503.80</td>\n","      <td>44246.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>5.91</td>\n","      <td>52.27</td>\n","      <td>45.13</td>\n","      <td>76.15</td>\n","      <td>15.60</td>\n","      <td>6.38</td>\n","      <td>46.49</td>\n","      <td>12.238333</td>\n","      <td>-1.561593</td>\n","      <td>POINT (12.238333 -1.561593)</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 27 columns</p>\n","</div>"],"text/plain":["   Country Name  Year Country Code  \\\n","0       Algeria  2007          DZA   \n","1        Angola  2007          AGO   \n","2         Benin  2007          BEN   \n","3      Botswana  2007          BWA   \n","4  Burkina Faso  2007          BFA   \n","\n","   Incidence of malaria (per 1,000 population at risk)  \\\n","0                                               0.01     \n","1                                             286.72     \n","2                                             480.24     \n","3                                               1.03     \n","4                                             503.80     \n","\n","   Malaria cases reported  \\\n","0                    26.0   \n","1               1533485.0   \n","2                     0.0   \n","3                   390.0   \n","4                 44246.0   \n","\n","   Use of insecticide-treated bed nets (% of under-5 population)  \\\n","0                                                NaN               \n","1                                               18.0               \n","2                                                NaN               \n","3                                                NaN               \n","4                                                NaN               \n","\n","   Children with fever receiving antimalarial drugs (% of children under age 5 with fever)  \\\n","0                                                NaN                                         \n","1                                               29.8                                         \n","2                                                NaN                                         \n","3                                                NaN                                         \n","4                                                NaN                                         \n","\n","   Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)  \\\n","0                                                NaN                                       \n","1                                                1.5                                       \n","2                                                NaN                                       \n","3                                                NaN                                       \n","4                                                NaN                                       \n","\n","   People using safely managed drinking water services (% of population)  \\\n","0                                                NaN                       \n","1                                                NaN                       \n","2                                                NaN                       \n","3                                                NaN                       \n","4                                                NaN                       \n","\n","   People using safely managed drinking water services, rural (% of rural population)  \\\n","0                                                NaN                                    \n","1                                                NaN                                    \n","2                                                NaN                                    \n","3                                                NaN                                    \n","4                                                NaN                                    \n","\n","   ...  Urban population growth (annual %)  \\\n","0  ...                                2.71   \n","1  ...                                5.01   \n","2  ...                                4.09   \n","3  ...                                4.80   \n","4  ...                                5.91   \n","\n","   People using at least basic drinking water services (% of population)  \\\n","0                                              91.68                       \n","1                                              47.96                       \n","2                                              63.78                       \n","3                                              78.89                       \n","4                                              52.27                       \n","\n","   People using at least basic drinking water services, rural (% of rural population)  \\\n","0                                              85.83                                    \n","1                                              23.77                                    \n","2                                              54.92                                    \n","3                                              57.60                                    \n","4                                              45.13                                    \n","\n","   People using at least basic drinking water services, urban (% of urban population)  \\\n","0                                              94.78                                    \n","1                                              65.83                                    \n","2                                              76.24                                    \n","3                                              94.35                                    \n","4                                              76.15                                    \n","\n","   People using at least basic sanitation services (% of population)  \\\n","0                                              85.85                   \n","1                                              37.26                   \n","2                                              11.80                   \n","3                                              61.60                   \n","4                                              15.60                   \n","\n","   People using at least basic sanitation services, rural (% of rural population)  \\\n","0                                              76.94                                \n","1                                              14.00                                \n","2                                               4.29                                \n","3                                              39.99                                \n","4                                               6.38                                \n","\n","   People using at least basic sanitation services, urban  (% of urban population)  \\\n","0                                              90.57                                 \n","1                                              54.44                                 \n","2                                              22.36                                 \n","3                                              77.30                                 \n","4                                              46.49                                 \n","\n","    latitude  longitude                            geometry  \n","0  28.033886   1.659626          POINT (28.033886 1.659626)  \n","1 -11.202692  17.873887        POINT (-11.202692 17.873887)  \n","2   9.307690   2.315834  POINT (9.307689999999999 2.315834)  \n","3 -22.328474  24.684866        POINT (-22.328474 24.684866)  \n","4  12.238333  -1.561593         POINT (12.238333 -1.561593)  \n","\n","[5 rows x 27 columns]"]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["# Read the file into a variable data frame or df\n","df = pd.read_csv('../input/malaria-in-africa/DatasetAfricaMalaria.csv')\n","\n","# Print the first 5 rows of the data\n","df.head()"]},{"cell_type":"code","execution_count":4,"id":"c924357f","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:09.549855Z","iopub.status.busy":"2023-02-27T07:28:09.548838Z","iopub.status.idle":"2023-02-27T07:28:09.556405Z","shell.execute_reply":"2023-02-27T07:28:09.555489Z"},"papermill":{"duration":0.020102,"end_time":"2023-02-27T07:28:09.558575","exception":false,"start_time":"2023-02-27T07:28:09.538473","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Index(['Country Name', 'Year', 'Country Code',\n","       'Incidence of malaria (per 1,000 population at risk)',\n","       'Malaria cases reported',\n","       'Use of insecticide-treated bed nets (% of under-5 population)',\n","       'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)',\n","       'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)',\n","       'People using safely managed drinking water services (% of population)',\n","       'People using safely managed drinking water services, rural (% of rural population)',\n","       'People using safely managed drinking water services, urban (% of urban population)',\n","       'People using safely managed sanitation services (% of population)',\n","       'People using safely managed sanitation services, rural (% of rural population)',\n","       'People using safely managed sanitation services, urban  (% of urban population)',\n","       'Rural population (% of total population)',\n","       'Rural population growth (annual %)',\n","       'Urban population (% of total population)',\n","       'Urban population growth (annual %)',\n","       'People using at least basic drinking water services (% of population)',\n","       'People using at least basic drinking water services, rural (% of rural population)',\n","       'People using at least basic drinking water services, urban (% of urban population)',\n","       'People using at least basic sanitation services (% of population)',\n","       'People using at least basic sanitation services, rural (% of rural population)',\n","       'People using at least basic sanitation services, urban  (% of urban population)',\n","       'latitude', 'longitude', 'geometry'],\n","      dtype='object')"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["df.columns"]},{"cell_type":"code","execution_count":5,"id":"678ae3dc","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:09.578609Z","iopub.status.busy":"2023-02-27T07:28:09.577975Z","iopub.status.idle":"2023-02-27T07:28:09.614258Z","shell.execute_reply":"2023-02-27T07:28:09.613193Z"},"papermill":{"duration":0.048814,"end_time":"2023-02-27T07:28:09.616545","exception":false,"start_time":"2023-02-27T07:28:09.567731","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>Country Name</th>\n","      <th>Year</th>\n","      <th>Country Code</th>\n","      <th>Incidence of malaria (per 1,000 population at risk)</th>\n","      <th>Malaria cases reported</th>\n","      <th>Use of insecticide-treated bed nets (% of under-5 population)</th>\n","      <th>Children with fever receiving antimalarial drugs (% of children under age 5 with fever)</th>\n","      <th>Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)</th>\n","      <th>People using safely managed drinking water services (% of population)</th>\n","      <th>People using safely managed drinking water services, rural (% of rural population)</th>\n","      <th>...</th>\n","      <th>Urban population growth (annual %)</th>\n","      <th>People using at least basic drinking water services (% of population)</th>\n","      <th>People using at least basic drinking water services, rural (% of rural population)</th>\n","      <th>People using at least basic drinking water services, urban (% of urban population)</th>\n","      <th>People using at least basic sanitation services (% of population)</th>\n","      <th>People using at least basic sanitation services, rural (% of rural population)</th>\n","      <th>People using at least basic sanitation services, urban  (% of urban population)</th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","      <th>geometry</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Algeria</td>\n","      <td>2007</td>\n","      <td>DZA</td>\n","      <td>0.01</td>\n","      <td>26.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>2.71</td>\n","      <td>91.68</td>\n","      <td>85.83</td>\n","      <td>94.78</td>\n","      <td>85.85</td>\n","      <td>76.94</td>\n","      <td>90.57</td>\n","      <td>28.033886</td>\n","      <td>1.659626</td>\n","      <td>POINT (28.033886 1.659626)</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Angola</td>\n","      <td>2007</td>\n","      <td>AGO</td>\n","      <td>286.72</td>\n","      <td>1533485.0</td>\n","      <td>18.0</td>\n","      <td>29.8</td>\n","      <td>1.5</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>5.01</td>\n","      <td>47.96</td>\n","      <td>23.77</td>\n","      <td>65.83</td>\n","      <td>37.26</td>\n","      <td>14.00</td>\n","      <td>54.44</td>\n","      <td>-11.202692</td>\n","      <td>17.873887</td>\n","      <td>POINT (-11.202692 17.873887)</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Benin</td>\n","      <td>2007</td>\n","      <td>BEN</td>\n","      <td>480.24</td>\n","      <td>0.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>4.09</td>\n","      <td>63.78</td>\n","      <td>54.92</td>\n","      <td>76.24</td>\n","      <td>11.80</td>\n","      <td>4.29</td>\n","      <td>22.36</td>\n","      <td>9.307690</td>\n","      <td>2.315834</td>\n","      <td>POINT (9.307689999999999 2.315834)</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Botswana</td>\n","      <td>2007</td>\n","      <td>BWA</td>\n","      <td>1.03</td>\n","      <td>390.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>4.80</td>\n","      <td>78.89</td>\n","      <td>57.60</td>\n","      <td>94.35</td>\n","      <td>61.60</td>\n","      <td>39.99</td>\n","      <td>77.30</td>\n","      <td>-22.328474</td>\n","      <td>24.684866</td>\n","      <td>POINT (-22.328474 24.684866)</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Burkina Faso</td>\n","      <td>2007</td>\n","      <td>BFA</td>\n","      <td>503.80</td>\n","      <td>44246.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>5.91</td>\n","      <td>52.27</td>\n","      <td>45.13</td>\n","      <td>76.15</td>\n","      <td>15.60</td>\n","      <td>6.38</td>\n","      <td>46.49</td>\n","      <td>12.238333</td>\n","      <td>-1.561593</td>\n","      <td>POINT (12.238333 -1.561593)</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>589</th>\n","      <td>Togo</td>\n","      <td>2017</td>\n","      <td>TGO</td>\n","      <td>278.20</td>\n","      <td>1755577.0</td>\n","      <td>69.7</td>\n","      <td>31.1</td>\n","      <td>41.7</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>3.79</td>\n","      <td>65.13</td>\n","      <td>48.39</td>\n","      <td>89.06</td>\n","      <td>16.13</td>\n","      <td>7.40</td>\n","      <td>28.61</td>\n","      <td>8.619543</td>\n","      <td>0.824782</td>\n","      <td>POINT (8.619543 0.824782)</td>\n","    </tr>\n","    <tr>\n","      <th>590</th>\n","      <td>Tunisia</td>\n","      <td>2017</td>\n","      <td>TUN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>92.66</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>1.57</td>\n","      <td>96.25</td>\n","      <td>88.71</td>\n","      <td>99.70</td>\n","      <td>90.92</td>\n","      <td>81.35</td>\n","      <td>95.29</td>\n","      <td>33.886917</td>\n","      <td>9.537499</td>\n","      <td>POINT (33.886917 9.537499)</td>\n","    </tr>\n","    <tr>\n","      <th>591</th>\n","      <td>Uganda</td>\n","      <td>2017</td>\n","      <td>UGA</td>\n","      <td>336.76</td>\n","      <td>11667831.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>7.07</td>\n","      <td>4.46</td>\n","      <td>...</td>\n","      <td>6.25</td>\n","      <td>49.10</td>\n","      <td>41.25</td>\n","      <td>75.11</td>\n","      <td>18.47</td>\n","      <td>16.17</td>\n","      <td>26.11</td>\n","      <td>1.373333</td>\n","      <td>32.290275</td>\n","      <td>POINT (1.373333 32.290275)</td>\n","    </tr>\n","    <tr>\n","      <th>592</th>\n","      <td>Zambia</td>\n","      <td>2017</td>\n","      <td>ZMB</td>\n","      <td>160.05</td>\n","      <td>5505639.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>4.21</td>\n","      <td>59.96</td>\n","      <td>41.95</td>\n","      <td>83.86</td>\n","      <td>26.37</td>\n","      <td>18.93</td>\n","      <td>36.24</td>\n","      <td>-13.133897</td>\n","      <td>27.849332</td>\n","      <td>POINT (-13.133897 27.849332)</td>\n","    </tr>\n","    <tr>\n","      <th>593</th>\n","      <td>Zimbabwe</td>\n","      <td>2017</td>\n","      <td>ZWE</td>\n","      <td>108.55</td>\n","      <td>467508.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>1.28</td>\n","      <td>64.05</td>\n","      <td>49.80</td>\n","      <td>94.00</td>\n","      <td>36.22</td>\n","      <td>31.47</td>\n","      <td>46.22</td>\n","      <td>-19.015438</td>\n","      <td>29.154857</td>\n","      <td>POINT (-19.015438 29.154857)</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>594 rows × 27 columns</p>\n","</div>"],"text/plain":["     Country Name  Year Country Code  \\\n","0         Algeria  2007          DZA   \n","1          Angola  2007          AGO   \n","2           Benin  2007          BEN   \n","3        Botswana  2007          BWA   \n","4    Burkina Faso  2007          BFA   \n","..            ...   ...          ...   \n","589          Togo  2017          TGO   \n","590       Tunisia  2017          TUN   \n","591        Uganda  2017          UGA   \n","592        Zambia  2017          ZMB   \n","593      Zimbabwe  2017          ZWE   \n","\n","     Incidence of malaria (per 1,000 population at risk)  \\\n","0                                                 0.01     \n","1                                               286.72     \n","2                                               480.24     \n","3                                                 1.03     \n","4                                               503.80     \n","..                                                 ...     \n","589                                             278.20     \n","590                                                NaN     \n","591                                             336.76     \n","592                                             160.05     \n","593                                             108.55     \n","\n","     Malaria cases reported  \\\n","0                      26.0   \n","1                 1533485.0   \n","2                       0.0   \n","3                     390.0   \n","4                   44246.0   \n","..                      ...   \n","589               1755577.0   \n","590                     NaN   \n","591              11667831.0   \n","592               5505639.0   \n","593                467508.0   \n","\n","     Use of insecticide-treated bed nets (% of under-5 population)  \\\n","0                                                  NaN               \n","1                                                 18.0               \n","2                                                  NaN               \n","3                                                  NaN               \n","4                                                  NaN               \n","..                                                 ...               \n","589                                               69.7               \n","590                                                NaN               \n","591                                                NaN               \n","592                                                NaN               \n","593                                                NaN               \n","\n","     Children with fever receiving antimalarial drugs (% of children under age 5 with fever)  \\\n","0                                                  NaN                                         \n","1                                                 29.8                                         \n","2                                                  NaN                                         \n","3                                                  NaN                                         \n","4                                                  NaN                                         \n","..                                                 ...                                         \n","589                                               31.1                                         \n","590                                                NaN                                         \n","591                                                NaN                                         \n","592                                                NaN                                         \n","593                                                NaN                                         \n","\n","     Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)  \\\n","0                                                  NaN                                       \n","1                                                  1.5                                       \n","2                                                  NaN                                       \n","3                                                  NaN                                       \n","4                                                  NaN                                       \n","..                                                 ...                                       \n","589                                               41.7                                       \n","590                                                NaN                                       \n","591                                                NaN                                       \n","592                                                NaN                                       \n","593                                                NaN                                       \n","\n","     People using safely managed drinking water services (% of population)  \\\n","0                                                  NaN                       \n","1                                                  NaN                       \n","2                                                  NaN                       \n","3                                                  NaN                       \n","4                                                  NaN                       \n","..                                                 ...                       \n","589                                                NaN                       \n","590                                              92.66                       \n","591                                               7.07                       \n","592                                                NaN                       \n","593                                                NaN                       \n","\n","     People using safely managed drinking water services, rural (% of rural population)  \\\n","0                                                  NaN                                    \n","1                                                  NaN                                    \n","2                                                  NaN                                    \n","3                                                  NaN                                    \n","4                                                  NaN                                    \n","..                                                 ...                                    \n","589                                                NaN                                    \n","590                                                NaN                                    \n","591                                               4.46                                    \n","592                                                NaN                                    \n","593                                                NaN                                    \n","\n","     ...  Urban population growth (annual %)  \\\n","0    ...                                2.71   \n","1    ...                                5.01   \n","2    ...                                4.09   \n","3    ...                                4.80   \n","4    ...                                5.91   \n","..   ...                                 ...   \n","589  ...                                3.79   \n","590  ...                                1.57   \n","591  ...                                6.25   \n","592  ...                                4.21   \n","593  ...                                1.28   \n","\n","     People using at least basic drinking water services (% of population)  \\\n","0                                                91.68                       \n","1                                                47.96                       \n","2                                                63.78                       \n","3                                                78.89                       \n","4                                                52.27                       \n","..                                                 ...                       \n","589                                              65.13                       \n","590                                              96.25                       \n","591                                              49.10                       \n","592                                              59.96                       \n","593                                              64.05                       \n","\n","     People using at least basic drinking water services, rural (% of rural population)  \\\n","0                                                85.83                                    \n","1                                                23.77                                    \n","2                                                54.92                                    \n","3                                                57.60                                    \n","4                                                45.13                                    \n","..                                                 ...                                    \n","589                                              48.39                                    \n","590                                              88.71                                    \n","591                                              41.25                                    \n","592                                              41.95                                    \n","593                                              49.80                                    \n","\n","     People using at least basic drinking water services, urban (% of urban population)  \\\n","0                                                94.78                                    \n","1                                                65.83                                    \n","2                                                76.24                                    \n","3                                                94.35                                    \n","4                                                76.15                                    \n","..                                                 ...                                    \n","589                                              89.06                                    \n","590                                              99.70                                    \n","591                                              75.11                                    \n","592                                              83.86                                    \n","593                                              94.00                                    \n","\n","     People using at least basic sanitation services (% of population)  \\\n","0                                                85.85                   \n","1                                                37.26                   \n","2                                                11.80                   \n","3                                                61.60                   \n","4                                                15.60                   \n","..                                                 ...                   \n","589                                              16.13                   \n","590                                              90.92                   \n","591                                              18.47                   \n","592                                              26.37                   \n","593                                              36.22                   \n","\n","     People using at least basic sanitation services, rural (% of rural population)  \\\n","0                                                76.94                                \n","1                                                14.00                                \n","2                                                 4.29                                \n","3                                                39.99                                \n","4                                                 6.38                                \n","..                                                 ...                                \n","589                                               7.40                                \n","590                                              81.35                                \n","591                                              16.17                                \n","592                                              18.93                                \n","593                                              31.47                                \n","\n","     People using at least basic sanitation services, urban  (% of urban population)  \\\n","0                                                90.57                                 \n","1                                                54.44                                 \n","2                                                22.36                                 \n","3                                                77.30                                 \n","4                                                46.49                                 \n","..                                                 ...                                 \n","589                                              28.61                                 \n","590                                              95.29                                 \n","591                                              26.11                                 \n","592                                              36.24                                 \n","593                                              46.22                                 \n","\n","      latitude  longitude                            geometry  \n","0    28.033886   1.659626          POINT (28.033886 1.659626)  \n","1   -11.202692  17.873887        POINT (-11.202692 17.873887)  \n","2     9.307690   2.315834  POINT (9.307689999999999 2.315834)  \n","3   -22.328474  24.684866        POINT (-22.328474 24.684866)  \n","4    12.238333  -1.561593         POINT (12.238333 -1.561593)  \n","..         ...        ...                                 ...  \n","589   8.619543   0.824782           POINT (8.619543 0.824782)  \n","590  33.886917   9.537499          POINT (33.886917 9.537499)  \n","591   1.373333  32.290275          POINT (1.373333 32.290275)  \n","592 -13.133897  27.849332        POINT (-13.133897 27.849332)  \n","593 -19.015438  29.154857        POINT (-19.015438 29.154857)  \n","\n","[594 rows x 27 columns]"]},"metadata":{},"output_type":"display_data"}],"source":["# See original data\n","display(df)"]},{"cell_type":"markdown","id":"79565ef0","metadata":{"papermill":{"duration":0.009614,"end_time":"2023-02-27T07:28:09.636277","exception":false,"start_time":"2023-02-27T07:28:09.626663","status":"completed"},"tags":[]},"source":["**Note:** \n","* Malaria cases reported value (see Benin, 2007) < incidence rates --> this might be wrong ?\n","* Header name columns are too long --> should be simplify for easy coding\n","* Indicator of malaria will use Cases and Incidence rates\n","* Many NaN values --> change to 0"]},{"cell_type":"markdown","id":"b184470e","metadata":{"papermill":{"duration":0.009468,"end_time":"2023-02-27T07:28:09.655618","exception":false,"start_time":"2023-02-27T07:28:09.64615","status":"completed"},"tags":[]},"source":["### Rename column header"]},{"cell_type":"code","execution_count":6,"id":"5f02c362","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:09.67733Z","iopub.status.busy":"2023-02-27T07:28:09.676539Z","iopub.status.idle":"2023-02-27T07:28:09.720224Z","shell.execute_reply":"2023-02-27T07:28:09.719158Z"},"papermill":{"duration":0.057585,"end_time":"2023-02-27T07:28:09.7228","exception":false,"start_time":"2023-02-27T07:28:09.665215","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>Country Name</th>\n","      <th>Year</th>\n","      <th>Country Code</th>\n","      <th>Incidence rates</th>\n","      <th>Cases</th>\n","      <th>% Use ITNs</th>\n","      <th>% Child fever</th>\n","      <th>% IPT</th>\n","      <th>% Safe DW all</th>\n","      <th>% Safe DW rural</th>\n","      <th>...</th>\n","      <th>% Urban annual growth</th>\n","      <th>% Basic DW all</th>\n","      <th>% Basic DW rural</th>\n","      <th>% Basic DW urban</th>\n","      <th>% Basic sanitation all</th>\n","      <th>% Basic sanitation rural</th>\n","      <th>People using at least basic sanitation services, urban  (% of urban population)</th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","      <th>geometry</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Algeria</td>\n","      <td>2007</td>\n","      <td>DZA</td>\n","      <td>0.01</td>\n","      <td>26.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>2.71</td>\n","      <td>91.68</td>\n","      <td>85.83</td>\n","      <td>94.78</td>\n","      <td>85.85</td>\n","      <td>76.94</td>\n","      <td>90.57</td>\n","      <td>28.033886</td>\n","      <td>1.659626</td>\n","      <td>POINT (28.033886 1.659626)</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Angola</td>\n","      <td>2007</td>\n","      <td>AGO</td>\n","      <td>286.72</td>\n","      <td>1533485.0</td>\n","      <td>18.0</td>\n","      <td>29.8</td>\n","      <td>1.5</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>5.01</td>\n","      <td>47.96</td>\n","      <td>23.77</td>\n","      <td>65.83</td>\n","      <td>37.26</td>\n","      <td>14.00</td>\n","      <td>54.44</td>\n","      <td>-11.202692</td>\n","      <td>17.873887</td>\n","      <td>POINT (-11.202692 17.873887)</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Benin</td>\n","      <td>2007</td>\n","      <td>BEN</td>\n","      <td>480.24</td>\n","      <td>0.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>4.09</td>\n","      <td>63.78</td>\n","      <td>54.92</td>\n","      <td>76.24</td>\n","      <td>11.80</td>\n","      <td>4.29</td>\n","      <td>22.36</td>\n","      <td>9.307690</td>\n","      <td>2.315834</td>\n","      <td>POINT (9.307689999999999 2.315834)</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Botswana</td>\n","      <td>2007</td>\n","      <td>BWA</td>\n","      <td>1.03</td>\n","      <td>390.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>4.80</td>\n","      <td>78.89</td>\n","      <td>57.60</td>\n","      <td>94.35</td>\n","      <td>61.60</td>\n","      <td>39.99</td>\n","      <td>77.30</td>\n","      <td>-22.328474</td>\n","      <td>24.684866</td>\n","      <td>POINT (-22.328474 24.684866)</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Burkina Faso</td>\n","      <td>2007</td>\n","      <td>BFA</td>\n","      <td>503.80</td>\n","      <td>44246.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>5.91</td>\n","      <td>52.27</td>\n","      <td>45.13</td>\n","      <td>76.15</td>\n","      <td>15.60</td>\n","      <td>6.38</td>\n","      <td>46.49</td>\n","      <td>12.238333</td>\n","      <td>-1.561593</td>\n","      <td>POINT (12.238333 -1.561593)</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>589</th>\n","      <td>Togo</td>\n","      <td>2017</td>\n","      <td>TGO</td>\n","      <td>278.20</td>\n","      <td>1755577.0</td>\n","      <td>69.7</td>\n","      <td>31.1</td>\n","      <td>41.7</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>3.79</td>\n","      <td>65.13</td>\n","      <td>48.39</td>\n","      <td>89.06</td>\n","      <td>16.13</td>\n","      <td>7.40</td>\n","      <td>28.61</td>\n","      <td>8.619543</td>\n","      <td>0.824782</td>\n","      <td>POINT (8.619543 0.824782)</td>\n","    </tr>\n","    <tr>\n","      <th>590</th>\n","      <td>Tunisia</td>\n","      <td>2017</td>\n","      <td>TUN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>92.66</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>1.57</td>\n","      <td>96.25</td>\n","      <td>88.71</td>\n","      <td>99.70</td>\n","      <td>90.92</td>\n","      <td>81.35</td>\n","      <td>95.29</td>\n","      <td>33.886917</td>\n","      <td>9.537499</td>\n","      <td>POINT (33.886917 9.537499)</td>\n","    </tr>\n","    <tr>\n","      <th>591</th>\n","      <td>Uganda</td>\n","      <td>2017</td>\n","      <td>UGA</td>\n","      <td>336.76</td>\n","      <td>11667831.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>7.07</td>\n","      <td>4.46</td>\n","      <td>...</td>\n","      <td>6.25</td>\n","      <td>49.10</td>\n","      <td>41.25</td>\n","      <td>75.11</td>\n","      <td>18.47</td>\n","      <td>16.17</td>\n","      <td>26.11</td>\n","      <td>1.373333</td>\n","      <td>32.290275</td>\n","      <td>POINT (1.373333 32.290275)</td>\n","    </tr>\n","    <tr>\n","      <th>592</th>\n","      <td>Zambia</td>\n","      <td>2017</td>\n","      <td>ZMB</td>\n","      <td>160.05</td>\n","      <td>5505639.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>4.21</td>\n","      <td>59.96</td>\n","      <td>41.95</td>\n","      <td>83.86</td>\n","      <td>26.37</td>\n","      <td>18.93</td>\n","      <td>36.24</td>\n","      <td>-13.133897</td>\n","      <td>27.849332</td>\n","      <td>POINT (-13.133897 27.849332)</td>\n","    </tr>\n","    <tr>\n","      <th>593</th>\n","      <td>Zimbabwe</td>\n","      <td>2017</td>\n","      <td>ZWE</td>\n","      <td>108.55</td>\n","      <td>467508.0</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>...</td>\n","      <td>1.28</td>\n","      <td>64.05</td>\n","      <td>49.80</td>\n","      <td>94.00</td>\n","      <td>36.22</td>\n","      <td>31.47</td>\n","      <td>46.22</td>\n","      <td>-19.015438</td>\n","      <td>29.154857</td>\n","      <td>POINT (-19.015438 29.154857)</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>594 rows × 27 columns</p>\n","</div>"],"text/plain":["     Country Name  Year Country Code  Incidence rates       Cases  % Use ITNs  \\\n","0         Algeria  2007          DZA             0.01        26.0         NaN   \n","1          Angola  2007          AGO           286.72   1533485.0        18.0   \n","2           Benin  2007          BEN           480.24         0.0         NaN   \n","3        Botswana  2007          BWA             1.03       390.0         NaN   \n","4    Burkina Faso  2007          BFA           503.80     44246.0         NaN   \n","..            ...   ...          ...              ...         ...         ...   \n","589          Togo  2017          TGO           278.20   1755577.0        69.7   \n","590       Tunisia  2017          TUN              NaN         NaN         NaN   \n","591        Uganda  2017          UGA           336.76  11667831.0         NaN   \n","592        Zambia  2017          ZMB           160.05   5505639.0         NaN   \n","593      Zimbabwe  2017          ZWE           108.55    467508.0         NaN   \n","\n","     % Child fever  % IPT  % Safe DW all  % Safe DW rural  ...  \\\n","0              NaN    NaN            NaN              NaN  ...   \n","1             29.8    1.5            NaN              NaN  ...   \n","2              NaN    NaN            NaN              NaN  ...   \n","3              NaN    NaN            NaN              NaN  ...   \n","4              NaN    NaN            NaN              NaN  ...   \n","..             ...    ...            ...              ...  ...   \n","589           31.1   41.7            NaN              NaN  ...   \n","590            NaN    NaN          92.66              NaN  ...   \n","591            NaN    NaN           7.07             4.46  ...   \n","592            NaN    NaN            NaN              NaN  ...   \n","593            NaN    NaN            NaN              NaN  ...   \n","\n","     % Urban annual growth  % Basic DW all  % Basic DW rural  \\\n","0                     2.71           91.68             85.83   \n","1                     5.01           47.96             23.77   \n","2                     4.09           63.78             54.92   \n","3                     4.80           78.89             57.60   \n","4                     5.91           52.27             45.13   \n","..                     ...             ...               ...   \n","589                   3.79           65.13             48.39   \n","590                   1.57           96.25             88.71   \n","591                   6.25           49.10             41.25   \n","592                   4.21           59.96             41.95   \n","593                   1.28           64.05             49.80   \n","\n","     % Basic DW urban  % Basic sanitation all  % Basic sanitation rural  \\\n","0               94.78                   85.85                     76.94   \n","1               65.83                   37.26                     14.00   \n","2               76.24                   11.80                      4.29   \n","3               94.35                   61.60                     39.99   \n","4               76.15                   15.60                      6.38   \n","..                ...                     ...                       ...   \n","589             89.06                   16.13                      7.40   \n","590             99.70                   90.92                     81.35   \n","591             75.11                   18.47                     16.17   \n","592             83.86                   26.37                     18.93   \n","593             94.00                   36.22                     31.47   \n","\n","     People using at least basic sanitation services, urban  (% of urban population)  \\\n","0                                                90.57                                 \n","1                                                54.44                                 \n","2                                                22.36                                 \n","3                                                77.30                                 \n","4                                                46.49                                 \n","..                                                 ...                                 \n","589                                              28.61                                 \n","590                                              95.29                                 \n","591                                              26.11                                 \n","592                                              36.24                                 \n","593                                              46.22                                 \n","\n","      latitude  longitude                            geometry  \n","0    28.033886   1.659626          POINT (28.033886 1.659626)  \n","1   -11.202692  17.873887        POINT (-11.202692 17.873887)  \n","2     9.307690   2.315834  POINT (9.307689999999999 2.315834)  \n","3   -22.328474  24.684866        POINT (-22.328474 24.684866)  \n","4    12.238333  -1.561593         POINT (12.238333 -1.561593)  \n","..         ...        ...                                 ...  \n","589   8.619543   0.824782           POINT (8.619543 0.824782)  \n","590  33.886917   9.537499          POINT (33.886917 9.537499)  \n","591   1.373333  32.290275          POINT (1.373333 32.290275)  \n","592 -13.133897  27.849332        POINT (-13.133897 27.849332)  \n","593 -19.015438  29.154857        POINT (-19.015438 29.154857)  \n","\n","[594 rows x 27 columns]"]},"metadata":{},"output_type":"display_data"}],"source":["# create a dictionary\n","# key = old name\n","# value = new name\n","dict = {'Incidence of malaria (per 1,000 population at risk)': 'Incidence rates',\n","        'Malaria cases reported': 'Cases',\n","        'Use of insecticide-treated bed nets (% of under-5 population)': '% Use ITNs',\n","       'Children with fever receiving antimalarial drugs (% of children under age 5 with fever)': '% Child fever',\n","       'Intermittent preventive treatment (IPT) of malaria in pregnancy (% of pregnant women)': '% IPT',\n","       'People using safely managed drinking water services (% of population)':'% Safe DW all',\n","       'People using safely managed drinking water services, rural (% of rural population)': '% Safe DW rural',\n","       'People using safely managed drinking water services, urban (% of urban population)': '% Safe DW urban',\n","       'People using safely managed sanitation services (% of population)': '% Safe sanitation all',\n","       'People using safely managed sanitation services, rural (% of rural population)': '% Safe sanitation rural',\n","       'People using safely managed sanitation services, urban  (% of urban population)': '% Safe sanitation urban',\n","       'Rural population (% of total population)': '% Rural pop',\n","       'Rural population growth (annual %)': '% Rural annual growth',\n","       'Urban population (% of total population)': '% Urban pop',\n","       'Urban population growth (annual %)': '% Urban annual growth',\n","       'People using at least basic drinking water services (% of population)': '% Basic DW all',\n","       'People using at least basic drinking water services, rural (% of rural population)': '% Basic DW rural',\n","       'People using at least basic drinking water services, urban (% of urban population)': '% Basic DW urban',\n","       'People using at least basic sanitation services (% of population)': '% Basic sanitation all',\n","       'People using at least basic sanitation services, rural (% of rural population)': '% Basic sanitation rural',\n","       'People using at least basic sanitation services, urban (% of urban population)': '% Basic sanitation urban'\n","       }\n"," \n","# call rename () method\n","df.rename(columns=dict,\n","          inplace=True)\n"," \n","# print Data frame after rename columns\n","display(df)"]},{"cell_type":"markdown","id":"92d6996e","metadata":{"papermill":{"duration":0.009909,"end_time":"2023-02-27T07:28:09.74331","exception":false,"start_time":"2023-02-27T07:28:09.733401","status":"completed"},"tags":[]},"source":["### Change NaN values to zero"]},{"cell_type":"code","execution_count":7,"id":"6dd8b221","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:09.765904Z","iopub.status.busy":"2023-02-27T07:28:09.765148Z","iopub.status.idle":"2023-02-27T07:28:09.800467Z","shell.execute_reply":"2023-02-27T07:28:09.799678Z"},"papermill":{"duration":0.048894,"end_time":"2023-02-27T07:28:09.802446","exception":false,"start_time":"2023-02-27T07:28:09.753552","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>Country Name</th>\n","      <th>Year</th>\n","      <th>Country Code</th>\n","      <th>Incidence rates</th>\n","      <th>Cases</th>\n","      <th>% Use ITNs</th>\n","      <th>% Child fever</th>\n","      <th>% IPT</th>\n","      <th>% Safe DW all</th>\n","      <th>% Safe DW rural</th>\n","      <th>...</th>\n","      <th>% Urban annual growth</th>\n","      <th>% Basic DW all</th>\n","      <th>% Basic DW rural</th>\n","      <th>% Basic DW urban</th>\n","      <th>% Basic sanitation all</th>\n","      <th>% Basic sanitation rural</th>\n","      <th>People using at least basic sanitation services, urban  (% of urban population)</th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","      <th>geometry</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Algeria</td>\n","      <td>2007</td>\n","      <td>DZA</td>\n","      <td>0.01</td>\n","      <td>26.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>...</td>\n","      <td>2.71</td>\n","      <td>91.68</td>\n","      <td>85.83</td>\n","      <td>94.78</td>\n","      <td>85.85</td>\n","      <td>76.94</td>\n","      <td>90.57</td>\n","      <td>28.033886</td>\n","      <td>1.659626</td>\n","      <td>POINT (28.033886 1.659626)</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Angola</td>\n","      <td>2007</td>\n","      <td>AGO</td>\n","      <td>286.72</td>\n","      <td>1533485.0</td>\n","      <td>18.0</td>\n","      <td>29.8</td>\n","      <td>1.5</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>...</td>\n","      <td>5.01</td>\n","      <td>47.96</td>\n","      <td>23.77</td>\n","      <td>65.83</td>\n","      <td>37.26</td>\n","      <td>14.00</td>\n","      <td>54.44</td>\n","      <td>-11.202692</td>\n","      <td>17.873887</td>\n","      <td>POINT (-11.202692 17.873887)</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>Benin</td>\n","      <td>2007</td>\n","      <td>BEN</td>\n","      <td>480.24</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>...</td>\n","      <td>4.09</td>\n","      <td>63.78</td>\n","      <td>54.92</td>\n","      <td>76.24</td>\n","      <td>11.80</td>\n","      <td>4.29</td>\n","      <td>22.36</td>\n","      <td>9.307690</td>\n","      <td>2.315834</td>\n","      <td>POINT (9.307689999999999 2.315834)</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>Botswana</td>\n","      <td>2007</td>\n","      <td>BWA</td>\n","      <td>1.03</td>\n","      <td>390.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>...</td>\n","      <td>4.80</td>\n","      <td>78.89</td>\n","      <td>57.60</td>\n","      <td>94.35</td>\n","      <td>61.60</td>\n","      <td>39.99</td>\n","      <td>77.30</td>\n","      <td>-22.328474</td>\n","      <td>24.684866</td>\n","      <td>POINT (-22.328474 24.684866)</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Burkina Faso</td>\n","      <td>2007</td>\n","      <td>BFA</td>\n","      <td>503.80</td>\n","      <td>44246.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>...</td>\n","      <td>5.91</td>\n","      <td>52.27</td>\n","      <td>45.13</td>\n","      <td>76.15</td>\n","      <td>15.60</td>\n","      <td>6.38</td>\n","      <td>46.49</td>\n","      <td>12.238333</td>\n","      <td>-1.561593</td>\n","      <td>POINT (12.238333 -1.561593)</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>589</th>\n","      <td>Togo</td>\n","      <td>2017</td>\n","      <td>TGO</td>\n","      <td>278.20</td>\n","      <td>1755577.0</td>\n","      <td>69.7</td>\n","      <td>31.1</td>\n","      <td>41.7</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>...</td>\n","      <td>3.79</td>\n","      <td>65.13</td>\n","      <td>48.39</td>\n","      <td>89.06</td>\n","      <td>16.13</td>\n","      <td>7.40</td>\n","      <td>28.61</td>\n","      <td>8.619543</td>\n","      <td>0.824782</td>\n","      <td>POINT (8.619543 0.824782)</td>\n","    </tr>\n","    <tr>\n","      <th>590</th>\n","      <td>Tunisia</td>\n","      <td>2017</td>\n","      <td>TUN</td>\n","      <td>0.00</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>92.66</td>\n","      <td>0.00</td>\n","      <td>...</td>\n","      <td>1.57</td>\n","      <td>96.25</td>\n","      <td>88.71</td>\n","      <td>99.70</td>\n","      <td>90.92</td>\n","      <td>81.35</td>\n","      <td>95.29</td>\n","      <td>33.886917</td>\n","      <td>9.537499</td>\n","      <td>POINT (33.886917 9.537499)</td>\n","    </tr>\n","    <tr>\n","      <th>591</th>\n","      <td>Uganda</td>\n","      <td>2017</td>\n","      <td>UGA</td>\n","      <td>336.76</td>\n","      <td>11667831.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>7.07</td>\n","      <td>4.46</td>\n","      <td>...</td>\n","      <td>6.25</td>\n","      <td>49.10</td>\n","      <td>41.25</td>\n","      <td>75.11</td>\n","      <td>18.47</td>\n","      <td>16.17</td>\n","      <td>26.11</td>\n","      <td>1.373333</td>\n","      <td>32.290275</td>\n","      <td>POINT (1.373333 32.290275)</td>\n","    </tr>\n","    <tr>\n","      <th>592</th>\n","      <td>Zambia</td>\n","      <td>2017</td>\n","      <td>ZMB</td>\n","      <td>160.05</td>\n","      <td>5505639.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>...</td>\n","      <td>4.21</td>\n","      <td>59.96</td>\n","      <td>41.95</td>\n","      <td>83.86</td>\n","      <td>26.37</td>\n","      <td>18.93</td>\n","      <td>36.24</td>\n","      <td>-13.133897</td>\n","      <td>27.849332</td>\n","      <td>POINT (-13.133897 27.849332)</td>\n","    </tr>\n","    <tr>\n","      <th>593</th>\n","      <td>Zimbabwe</td>\n","      <td>2017</td>\n","      <td>ZWE</td>\n","      <td>108.55</td>\n","      <td>467508.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.00</td>\n","      <td>0.00</td>\n","      <td>...</td>\n","      <td>1.28</td>\n","      <td>64.05</td>\n","      <td>49.80</td>\n","      <td>94.00</td>\n","      <td>36.22</td>\n","      <td>31.47</td>\n","      <td>46.22</td>\n","      <td>-19.015438</td>\n","      <td>29.154857</td>\n","      <td>POINT (-19.015438 29.154857)</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>594 rows × 27 columns</p>\n","</div>"],"text/plain":["     Country Name  Year Country Code  Incidence rates       Cases  % Use ITNs  \\\n","0         Algeria  2007          DZA             0.01        26.0         0.0   \n","1          Angola  2007          AGO           286.72   1533485.0        18.0   \n","2           Benin  2007          BEN           480.24         0.0         0.0   \n","3        Botswana  2007          BWA             1.03       390.0         0.0   \n","4    Burkina Faso  2007          BFA           503.80     44246.0         0.0   \n","..            ...   ...          ...              ...         ...         ...   \n","589          Togo  2017          TGO           278.20   1755577.0        69.7   \n","590       Tunisia  2017          TUN             0.00         0.0         0.0   \n","591        Uganda  2017          UGA           336.76  11667831.0         0.0   \n","592        Zambia  2017          ZMB           160.05   5505639.0         0.0   \n","593      Zimbabwe  2017          ZWE           108.55    467508.0         0.0   \n","\n","     % Child fever  % IPT  % Safe DW all  % Safe DW rural  ...  \\\n","0              0.0    0.0           0.00             0.00  ...   \n","1             29.8    1.5           0.00             0.00  ...   \n","2              0.0    0.0           0.00             0.00  ...   \n","3              0.0    0.0           0.00             0.00  ...   \n","4              0.0    0.0           0.00             0.00  ...   \n","..             ...    ...            ...              ...  ...   \n","589           31.1   41.7           0.00             0.00  ...   \n","590            0.0    0.0          92.66             0.00  ...   \n","591            0.0    0.0           7.07             4.46  ...   \n","592            0.0    0.0           0.00             0.00  ...   \n","593            0.0    0.0           0.00             0.00  ...   \n","\n","     % Urban annual growth  % Basic DW all  % Basic DW rural  \\\n","0                     2.71           91.68             85.83   \n","1                     5.01           47.96             23.77   \n","2                     4.09           63.78             54.92   \n","3                     4.80           78.89             57.60   \n","4                     5.91           52.27             45.13   \n","..                     ...             ...               ...   \n","589                   3.79           65.13             48.39   \n","590                   1.57           96.25             88.71   \n","591                   6.25           49.10             41.25   \n","592                   4.21           59.96             41.95   \n","593                   1.28           64.05             49.80   \n","\n","     % Basic DW urban  % Basic sanitation all  % Basic sanitation rural  \\\n","0               94.78                   85.85                     76.94   \n","1               65.83                   37.26                     14.00   \n","2               76.24                   11.80                      4.29   \n","3               94.35                   61.60                     39.99   \n","4               76.15                   15.60                      6.38   \n","..                ...                     ...                       ...   \n","589             89.06                   16.13                      7.40   \n","590             99.70                   90.92                     81.35   \n","591             75.11                   18.47                     16.17   \n","592             83.86                   26.37                     18.93   \n","593             94.00                   36.22                     31.47   \n","\n","     People using at least basic sanitation services, urban  (% of urban population)  \\\n","0                                                90.57                                 \n","1                                                54.44                                 \n","2                                                22.36                                 \n","3                                                77.30                                 \n","4                                                46.49                                 \n","..                                                 ...                                 \n","589                                              28.61                                 \n","590                                              95.29                                 \n","591                                              26.11                                 \n","592                                              36.24                                 \n","593                                              46.22                                 \n","\n","      latitude  longitude                            geometry  \n","0    28.033886   1.659626          POINT (28.033886 1.659626)  \n","1   -11.202692  17.873887        POINT (-11.202692 17.873887)  \n","2     9.307690   2.315834  POINT (9.307689999999999 2.315834)  \n","3   -22.328474  24.684866        POINT (-22.328474 24.684866)  \n","4    12.238333  -1.561593         POINT (12.238333 -1.561593)  \n","..         ...        ...                                 ...  \n","589   8.619543   0.824782           POINT (8.619543 0.824782)  \n","590  33.886917   9.537499          POINT (33.886917 9.537499)  \n","591   1.373333  32.290275          POINT (1.373333 32.290275)  \n","592 -13.133897  27.849332        POINT (-13.133897 27.849332)  \n","593 -19.015438  29.154857        POINT (-19.015438 29.154857)  \n","\n","[594 rows x 27 columns]"]},"metadata":{},"output_type":"display_data"}],"source":["df = df.fillna(0)\n","display(df)"]},{"cell_type":"markdown","id":"650dc841","metadata":{"papermill":{"duration":0.010462,"end_time":"2023-02-27T07:28:09.823895","exception":false,"start_time":"2023-02-27T07:28:09.813433","status":"completed"},"tags":[]},"source":["### Pivot Malaria cases and incidence rates based on Country Name and Year"]},{"cell_type":"markdown","id":"caaf6076","metadata":{"papermill":{"duration":0.010515,"end_time":"2023-02-27T07:28:09.845175","exception":false,"start_time":"2023-02-27T07:28:09.83466","status":"completed"},"tags":[]},"source":["## Q1. Describe the malaria cases and incidence rates in Africa!"]},{"cell_type":"code","execution_count":8,"id":"2dfb63ab","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:09.86863Z","iopub.status.busy":"2023-02-27T07:28:09.867971Z","iopub.status.idle":"2023-02-27T07:28:09.896048Z","shell.execute_reply":"2023-02-27T07:28:09.895047Z"},"papermill":{"duration":0.042273,"end_time":"2023-02-27T07:28:09.898213","exception":false,"start_time":"2023-02-27T07:28:09.85594","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></th>\n","      <th>Cases</th>\n","      <th>Incidence rates</th>\n","    </tr>\n","    <tr>\n","      <th>Country Name</th>\n","      <th>Year</th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th rowspan=\"5\" valign=\"top\">Algeria</th>\n","      <th>2007</th>\n","      <td>26.0</td>\n","      <td>0.01</td>\n","    </tr>\n","    <tr>\n","      <th>2008</th>\n","      <td>3.0</td>\n","      <td>0.00</td>\n","    </tr>\n","    <tr>\n","      <th>2009</th>\n","      <td>0.0</td>\n","      <td>0.00</td>\n","    </tr>\n","    <tr>\n","      <th>2010</th>\n","      <td>1.0</td>\n","      <td>0.00</td>\n","    </tr>\n","    <tr>\n","      <th>2011</th>\n","      <td>1.0</td>\n","      <td>0.00</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th rowspan=\"5\" valign=\"top\">Zimbabwe</th>\n","      <th>2013</th>\n","      <td>422633.0</td>\n","      <td>81.95</td>\n","    </tr>\n","    <tr>\n","      <th>2014</th>\n","      <td>548276.0</td>\n","      <td>101.89</td>\n","    </tr>\n","    <tr>\n","      <th>2015</th>\n","      <td>482379.0</td>\n","      <td>97.65</td>\n","    </tr>\n","    <tr>\n","      <th>2016</th>\n","      <td>314003.0</td>\n","      <td>65.78</td>\n","    </tr>\n","    <tr>\n","      <th>2017</th>\n","      <td>467508.0</td>\n","      <td>108.55</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>594 rows × 2 columns</p>\n","</div>"],"text/plain":["                      Cases  Incidence rates\n","Country Name Year                           \n","Algeria      2007      26.0             0.01\n","             2008       3.0             0.00\n","             2009       0.0             0.00\n","             2010       1.0             0.00\n","             2011       1.0             0.00\n","...                     ...              ...\n","Zimbabwe     2013  422633.0            81.95\n","             2014  548276.0           101.89\n","             2015  482379.0            97.65\n","             2016  314003.0            65.78\n","             2017  467508.0           108.55\n","\n","[594 rows x 2 columns]"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["pd.pivot_table(df, index = ['Country Name', 'Year'], values =['Incidence rates','Cases'])"]},{"cell_type":"markdown","id":"f83c04de","metadata":{"papermill":{"duration":0.010931,"end_time":"2023-02-27T07:28:09.920281","exception":false,"start_time":"2023-02-27T07:28:09.90935","status":"completed"},"tags":[]},"source":["### Univariate analysis"]},{"cell_type":"code","execution_count":9,"id":"2b50519b","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:09.944342Z","iopub.status.busy":"2023-02-27T07:28:09.943972Z","iopub.status.idle":"2023-02-27T07:28:09.956794Z","shell.execute_reply":"2023-02-27T07:28:09.955647Z"},"papermill":{"duration":0.027051,"end_time":"2023-02-27T07:28:09.958789","exception":false,"start_time":"2023-02-27T07:28:09.931738","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Malaria cases\n"]},{"data":{"text/plain":["count    5.940000e+02\n","mean     9.891945e+05\n","std      2.128383e+06\n","min      0.000000e+00\n","25%      3.080000e+02\n","50%      5.258350e+04\n","75%      1.041084e+06\n","max      1.682113e+07\n","Name: Cases, dtype: float64"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["#Univariate analysis of malaria cases\n","print(\"Malaria cases\")\n","df['Cases'].describe()"]},{"cell_type":"code","execution_count":10,"id":"b5bb4431","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:09.983299Z","iopub.status.busy":"2023-02-27T07:28:09.982382Z","iopub.status.idle":"2023-02-27T07:28:10.367631Z","shell.execute_reply":"2023-02-27T07:28:10.36651Z"},"papermill":{"duration":0.399816,"end_time":"2023-02-27T07:28:10.370118","exception":false,"start_time":"2023-02-27T07:28:09.970302","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["[Text(0.5, 1.0, 'Malaria cases in Africa')]"]},"execution_count":10,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 648x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.set(font_scale = 1.5)\n","plt.figure(figsize=(9,6))\n","sns.boxplot(x='Year', y='Cases', data=df).set(title='Malaria cases in Africa')"]},{"cell_type":"markdown","id":"d1a98a64","metadata":{"papermill":{"duration":0.011407,"end_time":"2023-02-27T07:28:10.393621","exception":false,"start_time":"2023-02-27T07:28:10.382214","status":"completed"},"tags":[]},"source":["### Check data more"]},{"cell_type":"code","execution_count":11,"id":"65e3b153","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:10.418447Z","iopub.status.busy":"2023-02-27T07:28:10.418094Z","iopub.status.idle":"2023-02-27T07:28:10.428484Z","shell.execute_reply":"2023-02-27T07:28:10.427742Z"},"papermill":{"duration":0.025176,"end_time":"2023-02-27T07:28:10.430395","exception":false,"start_time":"2023-02-27T07:28:10.405219","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0       True\n","1      False\n","2      False\n","3      False\n","4      False\n","       ...  \n","589    False\n","590    False\n","591    False\n","592    False\n","593    False\n","Name: Country Code, Length: 594, dtype: bool"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["0        0.01\n","1      286.72\n","2      480.24\n","3        1.03\n","4      503.80\n","        ...  \n","589    278.20\n","590      0.00\n","591    336.76\n","592    160.05\n","593    108.55\n","Name: Incidence rates, Length: 594, dtype: float64"]},"metadata":{},"output_type":"display_data"}],"source":["# Found error in ValueError: Unable to parse string \"DZA\" at position 594\n","# Show and fix\n","display(df['Country Code']==\"DZA\", df['Incidence rates'])"]},{"cell_type":"code","execution_count":12,"id":"58d8d623","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:10.456206Z","iopub.status.busy":"2023-02-27T07:28:10.455242Z","iopub.status.idle":"2023-02-27T07:28:10.462781Z","shell.execute_reply":"2023-02-27T07:28:10.461974Z"},"papermill":{"duration":0.022291,"end_time":"2023-02-27T07:28:10.464695","exception":false,"start_time":"2023-02-27T07:28:10.442404","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Country Name                                                                        object\n","Year                                                                                 int64\n","Country Code                                                                        object\n","Incidence rates                                                                    float64\n","Cases                                                                              float64\n","% Use ITNs                                                                         float64\n","% Child fever                                                                      float64\n","% IPT                                                                              float64\n","% Safe DW all                                                                      float64\n","% Safe DW rural                                                                    float64\n","% Safe DW urban                                                                    float64\n","% Safe sanitation all                                                              float64\n","% Safe sanitation rural                                                            float64\n","% Safe sanitation urban                                                            float64\n","% Rural pop                                                                        float64\n","% Rural annual growth                                                              float64\n","% Urban pop                                                                        float64\n","% Urban annual growth                                                              float64\n","% Basic DW all                                                                     float64\n","% Basic DW rural                                                                   float64\n","% Basic DW urban                                                                   float64\n","% Basic sanitation all                                                             float64\n","% Basic sanitation rural                                                           float64\n","People using at least basic sanitation services, urban  (% of urban population)    float64\n","latitude                                                                           float64\n","longitude                                                                          float64\n","geometry                                                                            object\n","dtype: object"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["df.dtypes"]},{"cell_type":"code","execution_count":13,"id":"f315141a","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:10.490546Z","iopub.status.busy":"2023-02-27T07:28:10.489741Z","iopub.status.idle":"2023-02-27T07:28:11.072761Z","shell.execute_reply":"2023-02-27T07:28:11.071591Z"},"papermill":{"duration":0.59859,"end_time":"2023-02-27T07:28:11.075245","exception":false,"start_time":"2023-02-27T07:28:10.476655","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["[Text(0.5, 1.0, 'Malaria Cases in Africa')]"]},"execution_count":13,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 792x576 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.set(font_scale = 1.5)\n","plt.figure(figsize=(11,8))\n","plt.yticks(fontsize=10)\n","\n","sns.lineplot(x='Year', y='Cases', data=df).set(title='Malaria Cases in Africa')"]},{"cell_type":"markdown","id":"68ced931","metadata":{"papermill":{"duration":0.01392,"end_time":"2023-02-27T07:28:11.102505","exception":false,"start_time":"2023-02-27T07:28:11.088585","status":"completed"},"tags":[]},"source":["From the line graph above shows that malaria cases in Africa increased over time between 2007-2017. However it also shows that data in 2014-2016 has wider confidence interval which indicate outliers."]},{"cell_type":"markdown","id":"b75e65ec","metadata":{"papermill":{"duration":0.012679,"end_time":"2023-02-27T07:28:11.128353","exception":false,"start_time":"2023-02-27T07:28:11.115674","status":"completed"},"tags":[]},"source":["**Note that incidence rates only include new cases!**"]},{"cell_type":"code","execution_count":14,"id":"43e8f814","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:11.156685Z","iopub.status.busy":"2023-02-27T07:28:11.155597Z","iopub.status.idle":"2023-02-27T07:28:11.16682Z","shell.execute_reply":"2023-02-27T07:28:11.165639Z"},"papermill":{"duration":0.028217,"end_time":"2023-02-27T07:28:11.169507","exception":false,"start_time":"2023-02-27T07:28:11.14129","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Incidence rates\n"]},{"data":{"text/plain":["count    594.000000\n","mean     176.006936\n","std      164.610210\n","min        0.000000\n","25%        6.950000\n","50%      127.355000\n","75%      337.367500\n","max      585.540000\n","Name: Incidence rates, dtype: float64"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["# Univariate analysis of incidence rates\n","print(\"Incidence rates\")\n","df['Incidence rates'].describe()"]},{"cell_type":"code","execution_count":15,"id":"7d902d21","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:11.197341Z","iopub.status.busy":"2023-02-27T07:28:11.196374Z","iopub.status.idle":"2023-02-27T07:28:11.661531Z","shell.execute_reply":"2023-02-27T07:28:11.660484Z"},"papermill":{"duration":0.481498,"end_time":"2023-02-27T07:28:11.664199","exception":false,"start_time":"2023-02-27T07:28:11.182701","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["[Text(0.5, 1.0, 'Malaria Incidence Rates in Africa')]"]},"execution_count":15,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 792x576 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.set(font_scale = 1.5)\n","plt.figure(figsize=(11,8))\n","sns.boxplot(x='Year', y='Incidence rates', data=df).set(title='Malaria Incidence Rates in Africa')"]},{"cell_type":"markdown","id":"c438a9b3","metadata":{"papermill":{"duration":0.013486,"end_time":"2023-02-27T07:28:11.691782","exception":false,"start_time":"2023-02-27T07:28:11.678296","status":"completed"},"tags":[]},"source":["From the univariate analysis between malaria cases and incidence rates shows that the cases increased but the incidence decreased, means that the cases reported were occured in some same patients or in other words, the cases were not new (repeated cases in same patients)."]},{"cell_type":"markdown","id":"e39ad37c","metadata":{"papermill":{"duration":0.013403,"end_time":"2023-02-27T07:28:11.718861","exception":false,"start_time":"2023-02-27T07:28:11.705458","status":"completed"},"tags":[]},"source":["## Q2. What is the effect of preventive measures on malaria cases in Africa?"]},{"cell_type":"code","execution_count":16,"id":"7b433f30","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:11.748319Z","iopub.status.busy":"2023-02-27T07:28:11.747334Z","iopub.status.idle":"2023-02-27T07:28:12.109172Z","shell.execute_reply":"2023-02-27T07:28:12.108338Z"},"papermill":{"duration":0.378865,"end_time":"2023-02-27T07:28:12.111307","exception":false,"start_time":"2023-02-27T07:28:11.732442","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["[Text(0.5, 1.0, 'Preventive measures for malaria in Africa')]"]},"execution_count":16,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAk4AAAJPCAYAAACKBVtQAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAAsTAAALEwEAmpwYAAC4HklEQVR4nOzddXhUxxrA4V9ciRsEgic4BHcrVgrFKe4t7lKgOEUvxQuU4k6huBR3Ke7uJISQEHfb+0fKwrLZEJaEjXzvffLc7mTmnJnD7ubbb+bM6ikUCgVCCCGEEOKT9HXdASGEEEKIjEICJyGEEEKIFJLASQghhBAihSRwEkIIIYRIIQmchBBCCCFSSAInIYQQQogUksDpK1qwYAEeHh7KnwoVKtC2bVuOHz+u6659kW3btrFjxw618gULFlCkSJGv3yHxxVasWEGtWrUoUqQITZo00XV3tPbvv//i4eHBpUuXUu2YHTt2pEuXLunuWB+aMGECHh4ezJ49O8nf37x5kx9++IFSpUrh4eHB3bt3NR7Ly8sLDw8Pdu7cmer9FCIjMtR1B7IaAwMDNmzYAIC/vz8rV66kZ8+erFixgipVqui4d9rZvn07BgYGNG3aVKW8VatWVK9eXTedElq7d+8eM2bMoHv37tSpUwcLCwtddyldGT9+PHp6eunuWO/ExMSwf/9+APbs2cPgwYPVzjFu3Dj09PRYvHgxZmZm5MmTR+PxnJyc2Lx5M25ubqnaTyEyKgmcdKBUqVLK/65YsSI1a9Zk7dq1GgOnmJgYjI2Nv1LvUo+LiwsuLi667kamk9bPhydPngDQtm1bcuXK9cXHy6jP34+9G0eBAgVS7Zipeax3Tp48SVBQENWqVePUqVNcvHiR8uXLq9R5/Pgx3bt3p1KlShqPo1AoiI2NxdjYWOU9S4isTqbqdMzS0pI8efLw8uVL4P301r179+jQoQMlS5Zk5syZQGKGavTo0VSpUoVixYrRpEkTDh8+rDzW7t278fDwUB7rHYVCQe3atRk7dqyy7FPHAhg5ciR169bl+vXrtG7dmpIlS9KwYUMOHjyorNOxY0cuXLjAuXPnlFOQI0eOVBnLO/Xr1+fnn39WuwZ///03hQsX5vXr18qyffv20bx5c0qUKEGFChUYPXo0wcHByV7Ld1MKW7ZsYcqUKVSoUIGyZcsydepUEhISuHTpEi1btqRUqVI0b96c27dvqx1j3bp1fPfddxQrVoyqVasyffp0YmJilL+Piori119/pWHDhpQqVYrq1aszaNAgfHx8VI5z9epVOnbsSNmyZSlVqhT169dn0aJFKte2Y8eOauevXbs2v/zyi9q/wfnz52nRogXFihVTZiyfP3/OwIEDKV++PCVKlKBNmzZqU1Kf6sfHRo4cyeDBgwGoU6cOHh4eLFiwAICQkBDGjRtH5cqVKVasGI0bN1abok3u+ZsUDw8Pfv/9dxYtWkTVqlXx9PRk6NChREVF8ejRIzp16kSpUqVo2LAhp0+fVmm7a9cuOnbsSIUKFShdujQtW7bkyJEjGs/1Oe22bduGh4cHly9fplevXnh6ejJw4EBAfXrN39+fMWPGULduXUqUKKF8rQUFBX2yLx8f6915b968yYABA/D09KRmzZosWLCAhISETx7v3fiyZcvGtGnTMDY2Vpliezd1GR0dzaJFi/Dw8KB27doqfdm3bx+NGjWiWLFinDhxQuNU3enTp+nQoQOenp6ULl2aH374gbNnzyp/P2fOHJo2bYqnpyeVK1fmxx9/5OHDhykagxDpmWScdCwuLo7Xr1/j7u6uLFMoFPTv35927drRr18/zMzMCA0NpV27digUCoYOHYqTkxP79u2jX79+/PHHH9SoUYNvvvkGc3Nz9uzZQ+/evZXHu3z5Mt7e3nz//fcAKTrWO0FBQYwaNYru3bvj7OzMqlWrGDRoEPv37yd37tyMHz+e4cOHY2BgwJgxYwCws7NLcqyNGzdmxYoVTJw4EVNTU2X57t27KVeunDI7tX79eiZPnkybNm0YPHgw/v7+zJ49mydPnrBhwwb09ZOP93///XeqV6/Ob7/9xtWrV1m4cCEJCQmcO3eOn376CWtra2bNmkX//v05ePAghoaJL4MZM2awdu1aunfvTvny5Xn27Blz5szB19eXOXPmAImBU0xMDP369cPBwQF/f39Wr15Nu3bt2L9/P6ampoSFhfHTTz9RqlQpZs2ahYmJCS9evMDLyyvFz4sPBQYGMnr0aHr27EmePHmwtrbG29ub1q1b4+rqyoQJE7CwsGDTpk107dqVLVu2UKhQIa360adPH3LmzMmCBQtYuHAhjo6OuLi4EB8fz08//cTDhw8ZPHgwbm5u7N27l59//pmYmBhat26tPEZSz9/kbNmyhRIlSjB16lSePn3K//73P4yMjLh16xYdOnTgxx9/ZOnSpfTv35/jx49jbW0NJAbK3377Lb169UKhUHDy5En69OnDH3/8Qc2aNTWe73PaDRs2jObNm9O5c2eNz7ugoCDMzc0ZMWIENjY2eHt788cff9CjRw+2bt2a7Ng1GTZsGE2bNqVNmzacPHmShQsX4urqSvPmzZNtFxISwrFjx/j+++9xdHSkZs2aHDhwgHHjxmFiYkLRokXZvHkz7dq1o1mzZrRq1UolG/jw4UPmzZtH3759cXR0xNXVNcnz7N+/n8GDB1OlShWmTZuGhYUFt27dwtvbW1nHz8+Pbt264ezsTGhoKJs3b6ZNmzbs378fJycnra6LEOmCQnw18+fPVxQuXFgRGxuriI2NVbx+/VoxduxYhbu7u2Lz5s3KOu7u7ootW7aotF2wYIGiZMmSCm9vb5XyLl26KFq2bKl8PHToUEXDhg1V6owbN05Rs2ZNRUJCwmcd6+eff1a4u7srrl+/rix7+/atolChQoqlS5cqyzp06KDo3LmzxvG+8+zZM4W7u7ti7969yjJfX19FoUKFFH/99ZdCoVAowsLCFKVLl1ZMmjRJ5ViXLl1SuLu7K44fP652nndevnypcHd3V/Ts2VOlvFmzZgp3d3fFrVu3lGVHjx5VuLu7K65evapQKBSKFy9eKAoVKqRYvny5StudO3cq3N3dFQ8fPkzynHFxcQpfX1+Fu7u74sCBAwqFQqG4ceOGwt3dXXH37l2Nff35558VHTp0UCuvVauWYvTo0Sr13N3dFWfPnlWpN3LkSEXVqlUVoaGhKn1p0KCBYuDAgSnuR1J27NihcHd3V7x8+VJZduTIEYW7u7ti3759KnW7deumqFKlivK5pen5q4m7u7uiUaNGyvYKhULRv39/leupUCgU9+/fV7i7uyv27NmT5HHi4+MVsbGxih49eqj8+58/f17h7u6uuHjx4me1+/vvvxXu7u6KuXPnqrXR9Hx/JzY2VnH16lW151xSPj7Wu/N++PpSKBSKRo0aKXr06JHssRQKhWLTpk0Kd3d3xfnz5xUKhUJx8ODBJP/dChcurJg/f75aXwoXLqx4+vSpSvm719WOHTsUCoVCkZCQoKhevbqiXbt2Kv9uyYmLi1NERUUpypQpo1ixYkWK2giRXslU3VcWHx9P0aJFKVq0KNWrV2f37t30799f5RM7oEyfv3P69GnKlCmDk5MTcXFxyp+qVaty69YtoqOjgcSszqNHj5R3ycTGxvLPP//w3XffKReIpvRYADY2NpQoUUL52M7ODnt7e7WpqZTInTs3JUqUYM+ePcqyffv2YWhoSP369QG4du0aYWFhfPfddyp9K1myJBYWFly+fPmT5/l4rVjevHmxsbGhaNGiyrJ3i2HfTQ+eO3eOhIQEtfNWrVoVQOW8e/bsoUWLFpQuXZoiRYpQrVo1AJ49e6YcZ7Zs2ZgwYQJ79uzhzZs3n3mlVJmbm6utRTl9+jS1atXC1NRU2VeFQkHlypWV03Wp2Y+LFy9iZGSk/Hd657vvvsPPz0859nc+fv4mp0qVKiqLl9/923z47/jxvxckrsUaOHAgVatWpUiRIhQtWpSTJ0+q9eVjn9MuJeNQKBSsW7eOxo0bU6pUKYoWLcoPP/wA8Mm+aPLxTRUFCxZM0Wtu165dZM+eXbmmqUaNGlhbW6f4jrh8+fIlu1AcEq/f69evadmyZbIL20+fPk379u0pX748RYoUoUSJEoSGhvL06dMU9UWI9Eqm6r4yAwMDNm/ejJ6eHtbW1mTPnl05VfSOvr6+2nRXQEAAV69eVfnj/6Hg4GCcnJyoUqUKdnZ27Nq1i8KFC3P69GmCgoJo3LjxZx8LwMrKSu33xsbGKsHV52jcuDEzZ84kODgYa2trdu3aRc2aNZXnefv2LZC4MDkpKVk38nGfjYyMkiwDlON4d15NdwG+O+/hw4cZOnQoTZo0oW/fvtjZ2aGvr0/r1q2Vx7KysmLVqlX8/vvvjBkzhqioKIoVK8bPP/9MuXLlPtn/j9nb26uVBQQEsHnzZjZv3qz2u3djS81+hISEYG9vrzZd5eDgoPz9O0k9f5OT1L+NgYGByt1876aT3l3jsLAwunfvjrm5OUOGDCFnzpyYmZmxcOHCZNfRfG67d+NLzpo1a5g6dSqdO3dm2LBh2Nra4ufnR58+fbR+nbybjnwnJa85Ly8vLl++TIcOHQgNDVWW16pVi7179xIYGIitrW2yx0jqufaxd68FZ2dnjXVu3rxJz549qVKlCr/++isODg4YGRnRu3dvlTWDQmREEjjpQPHixZP9fVKf4qytralQoQLDhw9Pss27N0RDQ0MaNmzIvn37GD58OLt378bd3R0PD4/PPlZaaNiwIdOnT+eff/6hXLly3L59m169eqn0DWD27NlJ3v78OX+QP8e7865duzbJNTnv/kjs37+ffPnyqSx49vHxQaFQqNQvVqwYixcvJiYmhqtXrzJ37lx69uzJ8ePHsbKywtjYmNjYWLXzJBUYano+VKpUKck9gD6s/6l+pJSVlRUBAQEkJCSoBE/+/v7K/iTX39R2/fp1Xr16xebNm1Xu+IqKikrVdikZy/79+6latSqjR49WlqXmvlEptWvXLhQKBWvXrmXt2rVqv9+3bx/t27dP9hgpGe+79wdfX1+NdQ4fPoyxsTGLFi1SfjCMj49P0QcfIdI7CZwyiKpVq/LXX3/h5uam9mn0Y40bN2bdunWcOHGCo0eP0qdPH62PlRLGxsZERESkqK6DgwOVKlViz549+Pr6ki1bNpUFuWXKlMHc3BwvLy++++67L+5bSlWpUgV9fX3evHlDo0aNNNaLiopSyxAmtfnnO8bGxlSoUIEePXrQp08fXr16hZWVFTly5ODAgQMqt+pfvHiR8PDwFPW3atWq3L17Fw8PjxTd6q+pHylVrlw5VqxYwaFDh1Sm6/bt24ejoyO5c+dO8bFSQ2RkJPA+uwbvMy7JLTzWtl1yoqKisLGxUSlL7jmRVnbt2oW7u7vyJo0PjRkzhp07d34ycEqJvHnzkiNHDv7++2+aNWuWZJ3IyEgMDQ1VArG9e/cm+WFBiIxGAqcMomvXrspPjJ07d8bNzY3Q0FDu37+Pr68vkyZNUtYtVaoUbm5ujB8/nqioKLVA4HOOlRL58uVjy5YtHDp0CBcXF2xtbcmZM6fG+o0bN2bkyJE8ffqU+vXrq/zht7S0ZNiwYUybNg0/Pz+qVKmCqakpPj4+nDlzhvbt21O6dOnP6l9K5M6dm27dujF27FgePnxImTJlMDAwwNvbm2PHjjFmzBhcXV2pWrUqEyZM4H//+x9Vq1bl0qVL7Nq1SyULc+zYMf766y/q1q2Lq6srISEhLFmyhOzZs5MvXz4gcWuG+fPnM3r0aJo3b46XlxcrV67E0tIyRf0dOHAgLVu2pFOnTrRr1w4XFxcCAwO5ffs2+vr6DBo0KEX9SKkaNWrg6enJL7/8gr+/P25ubuzbt49Tp07x66+/fpUs04c8PT2xsLBg4sSJ9O3bl5CQEObPn4+zs7Na9i812iWnatWqLF++nGXLllG4cGGOHTvG+fPntR2aVm7cuMHTp08ZNWoUFSpUUPt9s2bNmDdvHs+fP//iIFdPT4+ff/6ZQYMG8eOPP9KyZUssLS25ffs2dnZ2tGzZkipVqrB69WrGjBnD999/z/3791mxYkWqfFATQtckcMogrKys2LRpEwsWLOD333/H398fGxsb3N3dadGihVr9Ro0asWjRIsqVK0eOHDm+6Fif0qNHD7y8vBgzZgxBQUE0a9aM6dOna6xft25dJkyYgJ+fn8raq3fat2+Pi4sLy5cv5++//wYSN9OsXLlysgHZlxo+fDh58+Zlw4YNrFy5EiMjI1xdXalWrZoyo9C6dWu8vb3ZsWMH69evp0yZMixdulQlO5Y7d26MjY1ZsGAB/v7+WFlZUaZMGWbNmqUMEvPmzcvs2bOZN28eBw8exMPDgxkzZjBo0KAU9dXV1ZWtW7cyf/58ZsyYQXBwMHZ2dhQtWlSZVUhJP1LKwMCApUuXMmvWLBYuXEhoaCh58+ZlxowZajvGfw329vYsWLCAGTNm0K9fP3LkyEGfPn24dOkS586dS/V2yenbty/BwcH8+eefxMbGUrVqVebMmUPLli21Hd5n27VrF0ZGRsotRz7WtGlTFixYwM6dOxkwYMAXn69Bgwb88ccfLF68mBEjRmBoaEjBggWVe13VqFGDUaNGsXr1avbu3UuRIkVYuHAhQ4cO/eJzC6FregptP2YJIYQQQmQxsh2BEEIIIUQKSeAkhBBCCJFCEjgJIYQQQqSQBE5CCCGEECkkgZMQQgghRAolux1BzKvbX6sfmZqecfLfDi9SZlxZ9Y39xOf736sTuu5CpuBoLnsSfalmNsV03YVMYdGzv3R27lj/J2lyXCOHz9tr7muSjJMQQgghRArJBphCCCGE0E5CvK578NVJxkkIIYQQIoUk4ySEEEII7SgSdN2Dr04CJyGEEEJoJyHrBU4yVSeEEEIIkUKScRJCCCGEVhRZcKpOMk5CCCGEECkkGSchhBBCaCcLrnGSwEkIIYQQ2pGpOiGEEEIIoYlknIQQQgihHdk5XAghhBBCaCIZJyGEEEJoJwuucZLASQghhBDayYJ31clUnRBCCCFECknGSQghhBBakZ3DhRBCCCGERpJxEkIIIYR2ZI2TEEIIIYTQRDJOQgghhNBOFlzjJIGTEEIIIbQjO4cLIYQQQghNJOMkhBBCCO1kwak6yTgJIYQQQqSQZJyEEEIIoZ0suB2BBE5CCCGE0I5M1QkhhBBCCE3SRcbJy8eXGQuX8++VWxgZGVKzcjlG9OmCtVW2T7Zdv20vG7fv45WvH04O9rRuXI+ubZqip6enrBMXH8/aLbvZvv8IPr5+2FhbUaVcKfp1a4eDnU0ajuzr8nr1mulzl/DvlesYGRpSq2pFRgz4KWXXcctONvy9m1evfXF2dKB104Z0bddS5Tp+Tr2MyjanI43GdyJ/5aLEx8Zx9/Bl9k5eR2RweLLtqnZvSKmmVbBzc8LQxIhAb3+u7zjDyaV7iIuOValrZGZC7f5NKdG4ElZOtoQHhPDg5A22/fxnWg4tzeTJk4s5sydRq2YVYmJi2L3nEMOGTyQwMOiTbWvXqsqUKaMoVtQDP78Alq/YwLTp80n4L/2fO3dOHj/8V2P7KlUb8++FKwAYGBgw5pdBdOrYGhcXRx4/ec5vvy1m9Zq/UmWcupArtyuTp4+iarWKxMTGcnD/USaMnklQUHCy7cpXLE37zi3xLF2c/AXzcv7sJVo06pJsm2xWlpy6sBdnF0eaNOjAhfNXUnEkumWf05FW47viXrkY8bFx3Dh8ib8nrybiE6/r2t2/o3zTaji4OWFoYkyAtx8Xd5zm8NJdxH7wum46sj1Fa3pil8MBPQN93r7w5fTGw5xcdxBFgiKth6dbMlX39YVHRNJ98DhsrK2YNW4IEVHRzF26lv6/TGP1/CnJ/kH+Y+0WFq/aTLe2zShbqihXbtxl/rL1REZF07drG2W931dsZOWmHfTq3JrSxQvj9cqXBSs2cO/RUzYsmoG+fsZPvIWHR9Ct/8/YWFsza9IoIiOjmLN4Bf1+nsCaRbOSv46rNrJoxTq6tW9FOc8SXLl+i3l/rCIiMop+PTp+dr2MytjClB83jSE8IJSN/eZjbG5Cg5Ft6bRsGH+0mphsW1Mrc27sPc+bB17EREbj5lmQ2gOb4VLIjQ195ynrGRgb0mP9aCwdrDm2YAf+z15j5WyLm2eBtB5emrC0tODwwS34vw2gXfvemFuYM23KaHZsW0mNWs2SbVumdAl271rDtu37GD16KkWLejBt6mhMTU0YO24GAD4+b6hStbFa2wULppIjuzMXL11Tli36fTpt2zRj4qRZXL9+m8aN67N82RwUClizNuMFTxaW5vy9exUBbwPp2W0I5ubmjJk4hNUbF9Lk2+Rfb1WqV6BseU+uXb6JsYlxis7385iBqdHtdMfEwpRBm8YTFhDKin5zMDY3penI9vRa9jOzW41Ltq25lQWX957D58FLYiKjyevpTsOBLXAt5MayvnPen8PclLObj+D75BXxcQkUqVaCVhO6YufqyPZp69J6iOIr03ngtHXPQfwCAlmzYCrOjvYAuDja07H/aE6ev0yNSmWTbBcVHc3yDdtp2bgeA3q0B6By2VKEhoWzYuN22jVviK21FQC7D53guzrV6dWpNQDlPYtjaGjAL9MX8MzrFfnccn6FkaatLbv24/c2gLVLfsPZ0QEAZycHOvYayomzF6hZpUKS7aKio1m27i9aNWnIwJ5dAKhcvjQhYeGsWL+F9i2/x9bGOsX1MrLybWuTzdGGJS0mEOIbCECwTwC9t02kUG1P7h29qrHt4TlbVR4/OXcHYwtTavRujLGFKTHhUQDU6NkYpwKuzKk7XHkOgBu7z6XBiNLejz06kD27E9VrNuXVq9cAeHv5cOrkTr5rWIe9+w5rbDt27BDuP3hMp879USgUHDt+BktLC8b8Mog5c5cSEBBITEyMMqP0jpOTAyWKF+b331cqM1Nubq507dKGUaOn8NvsJQAcPnIKNzdXpk4ZxfoNfxMfn7E26uvQpTVOzo58X789r33eAODz6jW7D26gTv0aHD5wQmPbuf9bwpyZiwHYvGM5hoYGyZ6reMnCtG3fjLEjp/HbgsmpN4h0oGrbOlg52jKrxViC/3vNBfm8Zdi2XylWuzS3jmrOrO2ZoxpwPzh3GxMLU+r1boKJhSnR/72uN49brlLv/pmb2GS3p2LLmpk+cFIoMtbrKjXoPNVy4txlypQoogyaAEoVK4SrixPHz17U2O7xs5dERkVRuWwplfLK5UoRExvL6Qvv/8jFxcVjYWGmUs/SwgIg06RRT5y5QJmSxZVBE4Bn8SK4ZnfmxBnNUx2PnjwnMjKKyuVLq5RXLl+amJhYTv97+bPqZWSFvvHk6YV7KgHNiysPCXj5hkJ1SifTMmkRgaGgAEX8+1R2+Xa1ubnvX5VzZGTfNazDqVP/KoMmgHPnL/H06Qu++66uxnZGRkbU+aYaW7bsRqF4/xrcsHEbpqam1K1bXWPbtm2aYWhoyNr1W5RlZcuWQl9fn0OHT6rUPXToBC4uTlSs8Pn/frpWt34Nzp+9pAyaAC5duMaL517Ua1Ar2bYfXtNP0dPTY8bs8SxdtIanT19o3d/0qvg3pXl04a4yaAJ4cuUB/i/fULxOmc8+Xvh/r+uE+OSnqMIDQ0nIYMG6VhQJafOTjuk8cHr8/CUF8uRSK8+XOydPnntpbPdues3ISDVp9u7x42cvlWUtG9Vl98ETnPr3CuERkdx//IwlazZTqWxJ8idx7ozo8bMXFMjrplaeL48bj5N5MzQw+O86GqpeR2MjIyAxYPqcehmZU4GcvHmo/px789AbpwKuKTqGvoE+RmYm5KtUhKo9GnJx01Fio2IAsHF1wDq7PYFefrT4X08m3F7BxDsr6PjnUGxzOqbqWL6WwoULcvvOA7Xyu3cfUqRwQY3t8ufPjampKbfv3Fcpf/HCm/DwCIoUdtfYtn37Fty6fY9r124ry95lk2JiYlTqRkcnPi5SxOPTg0ln3D3y8+DeI7XyB/ce4+6RP9XO07FraxydHJg/e2mqHTM9cSmQE5+HL9XKXz/0InuBlM026BvoY2xmgnulonzToxFnNh1Rvq4/rmdqaUbJeuWo2LImx1bu++L+i/RH51N1IaHhZLO0UCu3ymbJq9d+Gtu5uWZHX1+fm3cfUO2DT5M37z4EIDgkVFnWr1tb9PX16DtqivKTWIXSJZg7aURqDUPnQkLDyJbNUq3cKpslr3x8NbZzc82Bvr4+N+7cp1qlcsrym//9QQsJDf2sehmZmbUFkSERauWRweEpCmwsHa355eJi5ePLW0+wc+xK5eNsTjYAVO/ZiBdXH7G+91zMrC2oP+IHuq0Zydz6I4iPzVifUG1trQkOVl+oHBgURO48mv8o2drYABAcFKLeNjAYW1ubJNsVKeJOac/ijBz1q0r5w4dPAChfrjT3Pgg2ypf3BMAuA94EYm1jTXCw+usqOCiEXG4pC+Q/xd7BjpFjBzF84DgiI6NS5Zjpjbm1ZZKv64jgcOxS8Lq2crRm+sX3N26c23qcTWOXqdXL41mQEdunAJCQkMCB37dzcPHOL+h5BiGLwzMOC3MzmtSvxdqte/AokJdypYpx5cYd1m3dA6Cy4HvTjv2s/msXA39sT8kiHnj5+LJwxUaGTJjF4uljMs0dYdqwsDCnScM6rN28nUIF8ykXfa/9aweA8tqktF5WFhEQysLGv2BkZkKuUgWo1a8Jenp6bBmauObm3TWKiYxm7Y+/Ke+2e/vsNf12T6FEo0pc3X5aZ/3PCDq0b0F8fDwbNm5XKb9z5wFHj55m8qQRPH/+kus37vB94/q0bZO4QD0hC765p8T4X4dz4+ot9u46pOuupFthAaFMbzwSYzMT8pQqQIN+zdHT02PN0N9V6r2694LpjUdiammGe8Wi1O31PQkJCeyds0XDkUVGpfPAySqbBaFh6reEhoSGYW2lnkH50LA+XQgICmbQ2MQ7cCzMzRjSsxOT5/yBg50tkJh5+t+iVfTu8gPd2zYHoGzJouTM7kzXQWOTXYCekVhlsyQ0NEytPPE6Jr8dwfB+PxIQGMTAUYmLQi3MzRjSpzuTZy3E0d7us+tlVJHB4ZhZmauVm1lbEBGkfm0/lhCfgPfNpwA8u3CPUN9AfpjXl7OrDuB986lyS4Pnlx6obFHgffMpUSEROHtkvJsUAgODsbZWvynA1saGwIAgze2CEn9nbWOl3tbWOsmtDPT09GjbpjnHj59VWVP1Trceg9mwbhFHDicu1Pf19WPsuBn8NmsCPq/fqNVP74KDgrG2Vn/tWttYERSY/HYEKVG6bAmatmhI0287YvXfeSwszJX/b2FpTniYeqYmo4kIDkvydW3+Ga/rFzcTM5rv1kp1nTeA46v2K8sh8QPRu8cPzt0mLiaW7wa35tS6g4T4ffm/V7qVztcjpQWdB0753HLyOIm1TE+ee1GxTMlk21pZWrBw6mj8A4IICAomVw4XHv23nsezWCEAXni/JiY2liIF86m0LeKeuEbguZdPagxD5/LlycXjZ+prmZ48e0Glcp7JtrXKZsnvMyfiHxBIQGAQuVyzK9cseZYo8tn1Miq/x0mvZXIq6MqjU7c++3jetxKDKPs8LnjffMrb575JrosAUKDAMIW3jacn9+4lvZapcOGCHD5yMokWiR4/fk50dDRFCruza9cBZbmbmysWFubcvfdQrU3NGpXJlSsHY8fPSPKYXl6vqF6zKTlz5sDKypKHD5/SpEkDAM6du/S5Q9O5hw+eJLmWyb1Qfk4eO/vFxy/gng8jIyP2Ht6k9rsNfy/l6ZMXVC7d4IvPo2uvH3snuZbJpWBO7p268dnHe3ErMThyzOOiEjglVc/A0AC7nE6ZO3DKgnS+OLxGpTJcun6bN/4ByrLrd+7j/foNNSunLBPkYGeDe77cmJmasH7bXvLkykF5z2IA5HBJnMO+8+CxSpt3j12zO6XGMHSuRuXyXLp2kzd+b5Vl12/dxdvHV+NWBB9zsLPFPX9ezExNWbdlJ3lyuVK+tHrwmtJ6Gc29I1fJW6Gwci0SQC7PAtjlcuLukc/fDDBP+cTgPeB54hqzhLh47h+/Rp5yHhiaGCnr5SyZHzMrC7yuP07yOOnZ3n2HqV69ItmzOyvLKpQvTd68buzdq3krgtjYWA4fPkWrVt+rTPO2+aEp0dHRHDqkfqt9+/YtCAsLZ/v25Bfcenm94s6dByQkJNC7ZycOHz7J48fPPn9wOnbonxNUrFIOZ5f363BKly2BW+6cHPzn+Bcf/9jh0zRv1FnlZ9yoaQD8MmIKfX/MHGtAbx25QoEKRbB2slWW5fEsiEMuJ24e+fy7gQuULwyA/3PNa0cT6xUhISGBty8zXrbzsyTEp81POqbzjFPLRvXYsH0fA8ZMo0/nH4iMjmHO0rWULOqhMoW2ePVf/LHmL/atX0QOl8RgZ9+RU4SFR5AnVw4CgkLYc+gEF67eZOmsCco1Tva2NtSrUZml6xLT9yWKuOP1ypdFqzeTJ1cOqpQr9dXHnBZaNfmWDVt303/kRPp070BUVDRzFq+gZLHC1PggcFq8Yj1LVm1g/18ryOGS+Mdu36Hj/11HVwKCgtl94AgXLl/nz3nTVNaKpbReRnVh41Eqda5Hpz+Hcnju3xiZmfDtyLY8v/yAex8ETrUHNKP2gObMqjGYIG9/TLKZ0W31SK5uP83bZ6/R09cjd1kPqnb/lntHr+J14/2n0sNz/qbPjkl0Xj6c08v3YWZlQb3hrXl9/yU392neNiK9+nPZevr26ca2v1cwefJszMzNmDZlNOfOXWLP3vfrZsb8MogxvwzGvVBlXrzwBuDXKXM4cXw7q1bOY+XKTRQt6sGYXwYzb/6fvH2rul2DqakpzZs1ZMfOfwgPT3r6qHevzoSFR/DiuReuObPT66dO5M+fh+o1m6bZ+NPSutV/0b1ne1ZtWMis6b9jZmbGmIlDuPjvVQ59EDgNHtGbISN6U8mzAV4vXwFgb29LxSqJN3E4ONphoG/Ad9/XA+D61Vt4vXyF3xt//N74J3nuWzfucvXy52dj0qPTGw9To3MDev05nL1zt2BkZkKzke15cvm+SuD07YAWNBzQkvE1+hPg7Y9pNjP6rf6FC9tP4ffMBz19PfKXLUTt7t9x6+gVnt/478N3ITeaje7Alb3nefvyDUamxhSuVpLqHetxat0hQv0zebZJpuq+PksLc5b/NonpC5czbNJsDA0NqFmpLCP6dlP5JKpQJBCfkMDHu5Ns2LYPLx9fjI2NKFOiMGsXTsMjfx6VOpN/7suy9dvY8c9RlqzZgp2tFRU8i9O/eztMTUzSfpBfgaWFBcvnT2P6vD8YNm4aRoaG1KhSgZ8H/KRyHRMUCuLjE/h4m5f1W3bi9eo1JibGlC5RlHV/zMGjQF6186S0XkYUHRbJsnZTaDy+E20XDiAhLp67h6+wd/JalXp6+voYGBrAf5c1LjqWN4+8qdLtW6xcbImPiSPgxRsOzNzMvxuOqLT1vf+SFR2m0WBkW9ovHkRsVAz3j15l75T1xMfEfa2hpprQ0DDq1m/NnN8msWH9YmJjY9mz9zBDh01Qqaevr4+hoaHKc/HipWt836QTv/46ij271+LvH8j/Zv3OlKnz+FiTJvWxssrG+vVb1X73jpGREaNHDiRXruyEhoZz6PAJOnbux/NktjVJz8JCw2nZuCuTp4/ijxWziY2L5dA/xxk/arpKvXfXlg/uz3AvXIBla+aq1Hv3eGCf0fy1YUfadj4diQqLZF67SbQa34VuCweTEBfHzcOX2Tp5tUo9feXrOvFCxkXH8vqRN7W7NcTGxY64mFj8X7xh58yNnN7w/kNBiH8w4YFhfNu/OVaONkSFReH3zIe1wxdxcYfc7JEZ6SmS2Skt5tVtTb8Sn0HP2OzTlcQnjSs7RtddyBT+90rzjtMi5RzNM/ZO+elBM5tiuu5CprDome6+Uijq/OY0Oa5pxR/S5LipIePPrwghhBBCfCU6n6oTQgghRAYla5yEEEIIIVIoC24uK1N1QgghhBApJBknIYQQQmhHMk5CCCGEEEITyTgJIYQQQisKRfre5TstSOAkhBBCCO3IVJ0QQgghhNBEMk5CCCGE0E4W3MdJMk5CCCGEECkkGSchhBBCaEfWOAkhhBBCCE0k4ySEEEII7WTBNU4SOAkhhBBCOzJVJ4QQQgghNJGMkxBCCCG0kwWn6iTjJIQQQgiRQpJxEkIIIYR2suAaJwmchBBCCKGdLBg4yVSdEEIIIUQKScZJCCGEENqRxeFCCCGEEEITyTgJIYQQQjtZcI2TBE5CCCGE0I5M1QkhhBBCCE0k4ySEEEII7WTBqTrJOAkhhBBCpJBknIQQQgihHVnjJIQQQgghNJGMkxBCCCG0kwXXOCUbOC2oOO1r9SNTWxH9UNddyBSOeJjpuguZwrX4ErruQqawqXaMrruQ4d09FKfrLogvlQUDJ5mqE0IIIYRIIZmqE0IIIYR2FApd9+Crk4yTEEIIIUQKScZJCCGEENrJgmucJHASQgghhHayYOAkU3VCCCGEECkkGSchhBBCaEd2DhdCCCGEEJpIxkkIIYQQ2smCa5wkcBJCCCGEdmQfJyGEEEIIoYlknIQQQgihnSw4VScZJyGEEEKIFJKMkxBCCCG0IxknIYQQQoiM48iRIzRu3JhixYpRr149tm7d+sk2Xl5eDBgwgEqVKlGqVCmaNWvGvn37UnQ+yTgJIYQQQjs63gDz+vXr9O/fn969e9OwYUPOnTvHuHHjsLGxoU6dOhrb9enTB2tra/7880+sra3ZtWsXQ4YMwdXVlZIlSyZ7Tsk4CSGEEEIrigRFmvyk1KpVqyhTpgz9+/cnf/78dOjQge+++45ly5ZpbBMeHs79+/fp2rUrxYoVI1euXPTt2xdra2tu3br1yXNK4CSEEEKIdCUkJAQvLy+1n5CQEJV6V69epWrVqipl1apV49atW8TGxiZ5bAsLCwoVKsTu3bsJDQ0lISGBvXv3EhUVRcWKFT/ZN5mqE0IIIYR20mhx+OrVq1m4cKFaeb9+/ejfv7/ysb+/P/b29ip1HB0diY2NJTAwECcnpySPv3z5cgYOHEjZsmUxNDTE1NSUBQsWkD9//k/2TQInIYQQQqQrnTt3plmzZmrlVlZWX3xshULBpEmTMDAwYO3atWTLlo2DBw8yePBg1q1bR+HChZNtL4GTEEIIIbSTRovDraysUhQkOTg48PbtW5Uyf39/DA0NsbW1TbLN+fPnOXDgAOfOncPOzg6AwoULc+XKFVavXs306dOTPaescRJCCCGEdhIUafOTQp6enpw5c0al7NSpUxQvXhwjI6Mk20RGRgKgr68aAhkYGKBIwXfvSeAkhBBCiAypS5cuXLp0iYULF/LkyRPWr1/Pnj176NGjh7LOoUOHaNCgAb6+vkBisGVnZ8eIESO4ffs2z58/588//+Ts2bPUrVv3k+eUqTohhBBCaEfHO4eXLFmS+fPnM3fuXJYsWYKLiwsTJ05U2cMpNDSUp0+fKu+ys7W1ZcWKFcyZM4fu3bsTHR2Nm5sb06ZNS3bvp3ckcBJCCCFEhlWnTp1kA57mzZvTvHlzlbLChQuzdOlSrc4ngZMQQgghtJMFv6tOAichhBBCaCcFi6kzm3QbOFnlcqT2hI7kqlyE+Ng4Hh+6wolJ64kKDk/5MXI60OXwdIzMTfmj/ADCXgekYY91z9UtO6N+HUKFqmWJjYnl2IFTzBw/j+CgkGTblS5fkpYdmlDMswh5C+Tm0rmrdG3eJ8m6zds1pn331rjlzUl4WASXz19j3tTFvHjmlRZD+uoMsruQbUB/jD1LQ1ws0WfOErLwdxShoSlobIDFD60x+/ZbDFxcSAgPI/buPYLGjIX4eNDXx7x1K0wrVcIgT270jIyIe/6C8I0biT55Ku0H9xU553Km18RelKxckrjYOM4fOs/SSUsJCwrT2EZfX59mPzaj/DflcSvohpGxES8fvWTL4i2c/eesSt32g9vTYUgHtWP8/cffLPtV81ctZDR6Di6YdeiLYWFPFHGxxF09R9TGxSjCU/Z8NK7fCuNq9dF3cEERGU78k3tEzB/3Pkugr49x/ZYYV2+Avr0zirBg4m5eIurvlShCAtN2cF+RSS4nck/ujnWVYihi4gg8eJFnE1cRn8zzESDn0B/IOfQHtfJXS3byYtJq5WOXnxrj0Lw6pm7O6JsYEe3th/+2U7xashNFVEyqj0foVroMnIwsTGm9aTSRgaHs6bsQI3MTqo/8gaYrhrCpxeQUH6f2pE5Eh0VhZG6ahr1NH8wtzFn59yICA4IZ+tMYzMxNGTK2HwvXzKLj9z8l27ZC1bKUKleCm1dvY2xirLFeq45NmTBrFGuXbmLmhHnYO9jRZ1gPlm1ZQNOa7YkIj0jtYX1VemZm2M2dS0JwMMETJqJnZoplr57YTptKQL/+n2xvM3E8RsWLE75mLbGPHqNvbYVJuXKgp5d4fBMTLDt2IPKfA4Rv2owiNgbTWrWw/XUywb/NJnLnrrQe4ldhZmHGjM0zCA4MZlqfaZiam9JtVDcmLJ/AsBbDNLYzNjXmh34/cGTrEf7+429iY2Kp1qgaY/8cy8LRC9m7dq9K/fi4eIY1Vz3eW1/V/VwyNFMzLEf+RkJYMBGLJqNnYopp6x8xHzSZ8CmDPtncvM9YDNyLEb1rPfEvHqNnaYVhsbKgpw8kBk4mzbti0vAHonesIe7BLfSdsmPaoivmbvkJn9QvU2QT9C1MKbJ1ErEBITzsNRt9cxPcfumIx6pR3Gn6yyfbK+Liuf1RvRhf1Q/hhtYWBOw+S8T9FyRERmNZ2oOcg1thXjg3D3vOStXxpDsyVZc+lGhXCwsnGzY1n0SYb+KnnjCfANpuH0++b0rx5Mi1Tx6jQL0yZPcswL8Ld1FrvPon08ymVcemODo70KHxT7x57QeA76s3rN+7jBp1q3Di0BmNbZfMWcHi2csBWLZlAQYGBknWa9zyWy6evcL0sXOUZb4+b1iz8w9Kly/B6WPnU3FEX5/Z943Rt7fjbd9+JPj7AxDv54f9ot8xqVSJ6HPnNLY1rVcXk8pVePtTT+IePVKWf5hJUkRH4/dDWxRh7z/lxly6jIGTExZt22SawOnb9t9i52TH0OZDefs6MZDx9/Fn9o7ZlP+mPBeOXEiyXUxUDN2qdiMs+P31uXrqKo45HGnRs4Va4ARw7+q9tBlEOmBcsxF6NnZETBmIIjDx+ZgQ4Ifl2AUYlqxI3HXNrzejynUw9KxM2ITeJLx4rCyPu3xa9RyV6xB77gjRu9YBEH/vGsTHYf7TSPRdcpLg8zL1B/aVOXeoh5GTLbeajCb2v1mHGJ+3FNs1DZs6ZQg6fPmTxwi78iDZ33v9b5PK45AztzCwMCVHv2boW5iSEB6l/QBEupMu93HK940n3hfuKYMmgFeXHxL84g356pT+ZHtDMxNqTejI6Rl/Ef0ZU3sZWc16Vbl0/qoyaAK4dukmXi9eUbNetWTbpmTDLwBDI0PCw1SvZ1hI4mM9/XT5VPosJpUqEXP9hjJoAoi9dZs4Hx9MqlRKtq15k++JuXZNJWhSk5CgEjQpz3H/PgYODlr3O70p/015bv57Uxk0Ady9fJfXL15ToU4Fje0SEhJUgqZ3Ht18hINL5rk+KWVUqiJx928qgyaA+Ed3SPDzwdAz+eejce3GxN+7phI0JcnAEEWk6mtaEfHfY72M/5oGsKlThpB/7yiDJoCwS/eJeuGLbd1yaXbeuMDQxIxdZs/I6HgDTF1Il68M+4Ku+D/wVit/+/AV9gVdP9m+0qCmhPsHc3PT8TToXfqUzz0vj+8/VSt/fP8p+d3zpso5tqzdQZValWjUogEWlha45cnJ0PH9eXjvMedPJp1FyEgM8+Qm7tkztfK4Z88wzJ1Hc0MDA4wKFSLu+XOy9e2D097dOB8+iO3cORgWLPDJ8xqXLEnc8xfadzydcSvoxosH6uN58fAFbu5un328YhWK8eKR+vEMDA1Yf3k9e57uYfmp5bTq00ptJ+CMTD9HbhK8n6mVx3s/xyBHbs0NDQwwyOtB/KsXmLbtjdWiHVgt24/FyN/Qd1N9PsYc34txlboYligPpmbo58qHadNOxN66RMKr56k8It0wc89F5H31zFnkAy/M3HN+sr2eoQGlry2nwostlDrzOzn6NQNNzzMDffTNTLCqXIzsPzXmzfrDJERm8jVOioS0+UnH0uVUnam1BdEh6utlooLDscqV/CdPu4I5KN21Ppta/ppW3UuXrK2zERKsvmA0JDgE11zZU+Uc2zfuxsBAn8lzflGuhbp36wE9WvUnNjYuVc6hS/rZsiWZEVKEhqHn4qK5nbU1ekZGmDWoT/xLL4KnTAU9PSy7dsVu9m/4teugcXG5ad26GJcsQdDkzPN8tbS2JCxE/TqGBYfhnNP5s45Vq1ktipUvxsz+M1XKXz17xbJfl/H49mMMDA2oVK8SXX7ugksuFxaMWvBF/U8v9CwsUUQk8XyMCEPfUfPzUc/SCj1DI4yr1iP+tRcRS2eAHpg264zFz/8jbEQn5eLy6O2rQJGA+eApyqxx3O3LRMwfnyZj0gVDawviQ9RnHuKCwzDJ5Zhs26inPjyfvJrwW0/RMzDArkF5co1sj0kuZ57+vESlrpGjDWWur1A+9tt8lKej/0ydQYh0JV0GTl+izpSu3Nl+Bt8bT3TdlUyn9rfV+XnyYFYt2cDZ4/9i72hH7yHdWbx+Np2a9CQyIovO479b/G1oSODIUSQEJE4JxN5/gOOmDZg3a0r4mrVqzYwKF8Zq2BAiDx0i6tDhr9rljMCjlAcDpg/g2PZjHNtxTOV3x7arPr58/DJRkVE069GMzQs388b7zdfsavryborNwJCIOb+gCE5c8hD+7CHZ/rcW42+aKNc0Gdf+HpMGrYjaspz4x7fRd8yBafMumPcbT8Rvo3Q1gnTDf9tJlcfBx68SHxFN9p8a4T3/b2K83y+NiA0I4WaD4eibmWBZuiCuA1qSX0+Px4MyRyCvUTqfVksL6TKvHRUcjomVuVq5qbUFUUGa1yx5NK6AU9E8XFy0BxMrc0yszDE0MwHAOJup8r8zo+DgUKyss6mVW1lbfXI7gpQa/79R7N6yn3lTF3Px7BX+2XmYXu0HU6iYO83aNEqVc+hSQmgoepaWauV62SxRhGi+/TshLAxFQgJxT58pgyaABH9/4l68wDCf+lSpQe7c2M6YTuztOwRPm5E6A0gnwoLDsLRSv46W1paEJpEVTYpbQTcmrp7I3ct3mT10doranNx9En19fQoU//T0aEagCA9DzzyJ56O5JYowzddREZH4fIz3fqYMmgAUgf4k+LxEP2eexONYZMO0bW+id68nZt8m4u/fJPb0ASL+mIpRifIYlqyY6mPShbjgcAysLNTKDa0tifvEdgRJebvrNHr6+lgUz6f6i/gEwm88JvTfO/gs3snT0X/i2LoWFiXya9t1kU6ly4xTwKOk1zLZF8zB89O3NLazK+CKSTYzup/6Te13XY/M5PnpW2xtNz1V+5pePHnwlHxJrGXK75GXcye+fP2RnYMtDo523L15X6Xcx+s1QQHBuOX7/LUr6U388xcY5lFfO2KYJw8xFy9pbhgdTbyPj8Zf6xmrbvFg4OKC3exZxPv4EPTLGIjL+NOcH3r56GWSa5ncCrpx9dTVT7Z3yunElA1T8H3py6Qek4j7zGnglN7skN4lvHqOvqv689HANTdxt5O5EywmmgT/1xp/rWeU+HzUd86BnrEx8c8fqvw+/mniY30XV7iuRcfTmaiHSa9lMnPPSfDJLxlg8s+z8JuJC/NN87oQfuMTi/QzMEVmX/yehHSZcXpy5Co5KxTCwtlGWZbdMz/Wbk48Pqz5jff2lpNsbj1F5efCot0A7O49nxOTN6R113XmxKEzlKvkiaPz+zVgJcoUI6dbDo4f/PLNFQP8A4kIj6BIiUIq5TlyZcfGzhrvF6+++By6FnXuHMYlS6Jvb68sMypSBMPs2Yk+ezaZlhB9+gyGefOqtNV3csTQzY3Ye++DTX1bW2xnz0IREUHAiJ9RREam/kB07MKRCxSvUBw7ZztlWSHPQri4ufDv4X+TbWvjYMPUDVOJCI1gbMexRH3G9G/NJjWJj4/n4Y2Hn66cAcReP4+hRwn0bN4/pwzyF0bfMTuxV5Pf+iPuylkMXPOqtNWzc0Q/ey7inyY+HxP8Er8p3iCPu0pbg7wF//u95uArIwk8fBmrikUxcrZVllmWdsfUzZnAQ8l8INLAoWk1FPHxnwyGrCoUASDqme9nn0Okb+ky43RjwzE8u9Sj6bIhnJ2zDSMzY6qNasOrSw948kHgVHFgUyoNbMayakMI9X5LiJc/IV7+KseyzpkYSLy6/ChT7xy+Ze0O2ndvxcLV/+P3WcswNTNhyNh+XL14g+MH3+/d0ntId3oN7UaDCi3w8Up8Y7S1t6FcpcRtHuwcbDHQN6Beo9oA3Lx2R1lv08q/6dSrLcFBIZw7eQEHRzt6DupGUEAwe7cd+MojTn2Ru3Zj0bwZtlOnELZyFZiakK1XT2Ju3SL67Ps9nCw6d8Kyc2f82rYjwTfxTTF80yZM69XFdsZ0wlavTlwc3qUzCSEhRLzbn8nYGNv/zcTAwYGgqdMwdHUF1/eZ1diHD+G/b+/OyPav30/jLo0Zv3w862avw8TMhG6junHn0h2VwKndwHa0G9SOblW78cb7Dcamxvy69lfsXez5bfBv5MiTgxx5cijrP779mNiYxOuzYN8CDm89jNcTLwwMDKhYryL129Rnz5o9+Pv4q/UpI4o5theTOs0wHziJ6B1rwNgEs9Y/EvfwNnHX3j8fTZp0xKRJR0KHd0DxNnFtV/S+zRhV/gaLIVOI2rkW0MO0aScUYSHEHE38MKkIDSLmwnFMvm8PQNyju4kbYDbtRLzPS+JuXvzqY04Lb9YdxKVbQzxWjsLrt83omxnj9ktHQi/dI+iDwMl1cCtyDm7N1Up9lGuXih+Yhd9fx4h8/Ao9Q31s65fHqe03+K7+h5hXidttGGQzp9D6sfhvO0HUUx/Q0ydb+UJk/6kxgYcvE349mS1KMoMsuMYpXQZOMWGR/NV2KrUmdKTR7/1IiIvn8eErHJ+4XqWenr4++oYG6P23ODcrCw8Lp1uLvoycMoTflv5KbGwcxw+eZsa4OSr19PT1MDQ0VLlmBTzyMWf5NJV67x7/MmASOzYnbjw4b9pi3voH0qxNI9r3aE1ocCg3rtxmfvclBPhn/K9nUEREEDBoCNkG9Md6wniIj1N+5cqH9PT10fvoeZfwNoCAAYOw6tcX619+AUUCMVeuEjR2PIrgYAAM7Owwck/8NG87aaLa+f1atyH+dcb/lB8RFsGoNqPoOaEnoxaNIi42jn8P/8vSiarfRK6nr4eBoQH8dxltHGzIXyxxPcgvS9R3dO5cqTNvvBIDA+9n3jTp1gRbJ1v09PTweuzFH+P/YPfq3Wk7uK8pKoLwGUMxbd8P8z5jIT6O2GvniFq/WLWenh56BgbKmxQAFMEBhE8bimnbXpj/NAoUCcTduUbUggkowt6veYxc9j8SGrXDqFoDTJp0RBESRNzda0T9vQJiM8dt9PFhkdxpNY48k7pTcMkQFLHxBB66xPMJK1TqvX9dvy+LeuqDS4/vMHKyRQ+IfPKKZ+NW4Ltyv7JOQnQMkY+8cOnRCOPs9iiiY4l64cvLaevwXXvwK41Sh9L51gFpQU+RzIKA39wy/47bX8OK6MwxdaBrRzzMdN2FTKHrU7mOqWFT7cwRWOjS3UPWuu5CplDx1TadnTv817SJEyzGrEuT46aGdJlxEkIIIUQGkAWn6tLl4nAhhBBCiPRIMk5CCCGE0E4W3I5AAichhBBCaEem6oQQQgghhCaScRJCCCGEdrLgdgSScRJCCCGESCHJOAkhhBBCO1lwjZMETkIIIYTQinzJrxBCCCGE0EgyTkIIIYTQThacqpOMkxBCCCFECknGSQghhBDakYyTEEIIIYTQRDJOQgghhNBOFtwAUwInIYQQQmhHpuqEEEIIIYQmknESQgghhFYUknESQgghhBCaSMZJCCGEENrJghknCZyEEEIIoR35rjohhBBCCKGJZJyEEEIIoZ0sOFUnGSchhBBCiBSSjJMQQgghtJMFM04SOAkhhBBCKwpF1gucZKpOCCGEECKFJOMkhBBCCO1kwak6yTgJIYQQQqSQZJyEEEIIoR3JOAkhhBBCCE2SzTidJvhr9SNTu7y1n667kCmUbfm7rruQKTgbGeu6C5mCSb8+uu5Chtf/0DxddyFTuKjDcyuyYMZJpuqEEEIIoZ0sGDjJVJ0QQgghRApJxkkIIYQQ2knQdQe+Psk4CSGEEEKkkGSchBBCCKEVWRwuhBBCCJFSWTBwkqk6IYQQQogUkoyTEEIIIbQji8OFEEIIIYQmknESQgghhFZkcbgQQgghRErJVJ0QQgghhNBEMk5CCCGE0EpWnKqTjJMQQgghRApJxkkIIYQQ2pE1TkIIIYQQQhPJOAkhhBBCK4osmHGSwEkIIYQQ2smCgZNM1QkhhBBCpJBknIQQQgihlaw4VScZJyGEEEKIFJKMkxBCCCG0kwUzThI4CSGEEEIrMlUnhBBCCCE0koyTEEIIIbQiGSchhBBCCKGRZJyEEEIIoZWsmHGSwEkIIYQQ2lHo6boHX126CJyccjnTfcKPFK9cgrjYOC4eusDKScsICw7T2EZfX5/vf2xCmdrlyFUwF4bGRng9esmOJds4/885lbrbX+zWeJzf+s7k9O5TqTYWXfLyC2TmpoNcuPcMIwMDapZyZ1jrulhbmiXbLi4+gXWH/mXH6Wv4BARjY2lO5aL56Ne0JvbWlsp6EdExzPv7KIcu3SU0Ior8ORzp3aQGNUoWTOuhfTWubtkZ+esQKlQtQ2xMLMcOnGbm+HmEBIUk286zfEladvie4p5FyVPAjcvnrtG1eZ8k6zZv15h23Vvhljcn4WERXD5/jXlTl/DymVdaDEknXHK50HdibzyrlCI2NpZzB8+zeNIfhAaFamyjr69Py59aUOGb8uQumBsjYyNePHrB5sV/cXr/GY3tnHM6s/zon5iZm/JDuXb4+/inxZB0wutNADPX7uHCnScYGRpQs3RhhrVviLWl+Sfbbjh4lo0Hz+HjH4STrRWtvqlAl++qoaf3/g/dlfvP2HbsIreeePHMx58yHnlYPubHtBySTuTIlZ2hkwdQtoonsTFxnDp4hjkTFxLyiedju56tqfpNJfK658HY2IinD5+zdtFGju0/qVK3ZPniNG3XmKKehcmdPxdXz1+nV8uBaT0soSM6X+NkamHG5E1TsHO247e+M1kyehFFKxRj9IqxybYzNjWmRb/WPL3zhIXD5/O/3tN5cf85Py8dTf0O36rU/bnJMLWfS0cuEhsdy7WTV9NyeF9NeFQ0P85ah19QGDN7NmdMx4ZcevCcAQs3o1Aokm27aOdx5m87yrcVirFgQBt6Nq7GyRuP6L9gMwkJ79sOXriF/f/epneT6szt1xo3ZzsGLfyLf+8+TevhfRXmFuas+HsRTs4ODPtpDJNGzKRsZU8WrvnfJ9tWqFqGUuVKcOfmfbxf+mis17JjEybN+YWLZ6/Qv/MIZo6fh0fRgizbsgBzi0//McwIzCzM+O2vmdg72zO59xTmjpxPiYolmLxiYrLtjE2NadevDY9vP2bW0N+Y1HMyT+89ZeKf42ncsZHGdv0n9yUiNDy1h6Fz4ZHR/Dh1GX5Boczs14YxXZtw6d5TBsxe+8nX9NIdR5m1bh/1yhdnwdBOfFelFAv+OsjibUdU6l2485jrD19QOE8OcjjYpOFodMfcwozFW+fi4GzP6F4TmD7yNzwrleK3VdOSbWdiakLX/h15cPsRk4dM5+efxvH43hNmLv+VFp2aqNQtV6U0JcoW4/7NB/i8fJ2Ww0l3FAlp85Oe6TzjVK9dfWyd7BjVfAQBvgEAvPXxZ/r2/1H2m3JcOnIxyXYxUTH0qtqD8OD3b5jXT13DPrsDTXs158C6/cryB1fvq7Q1NDLEo7QHl49dSjarlZFsPXEVv+AwVo3sjLOtFQDOttnoPH01J288SjYrtOfcTRpWKEbPxtUAKF8oD0YGBoxZsYvnvm/Jm92BKw9ecP7uU/7Xqzn1yhYBoHLRfDz18Wfu1qNsHNs97QeZxlp1bIqjsz0dG//Em9d+APi+esO6vX9So24VThzSnPX4Y85KlsxeAcCfWxZgaGCQZL3GLb/l4tkrzBg7V1n2xseP1TuX4Fm+BGeOnU+9AelIo/YNsXOyY2Czwfi/fguAn48/C3bOpeI3FTh/5N8k28VExdChSmeV1+TlU1dwzOFI616t2L12j1qbKvUrU7h0ITYs2ESfCb3SZkA6svXYBfyCQlk1rifOdtYAONtZ03nSH5y8dp8anoWSbBcVE8uK3SdpWbsc/VvXA6BS8YKERkSxcs9J2tarhG02CwB+alKLXs2+SfzvacuJj0/nf7G00KzD9zg42dOjSV/8XidmI9/4+LF81yKq1qnE6cPnkmwXHRVN00o/EPrB8/HCyUs453CiY++2/L1mp7J8+dw1LJuzGoDfN8/GQMPrX2QOOs84lf2mHLcv3FIGTQD3L9/D94UvZeuU19guISFBJWh658nNx9g72yd7zjK1y5LN1orjfx/VvuPpzMkbDylT0E0ZNAGUKpCLHA7WnLj+INm2cfEJWJiZqJRZ/vc44b9PtjefegNQqUg+ZR09PT0qFsnHnec++AYkP5WVEdSoV4XL568pgyaAa5du4vXiFTXqVU227acyAO8YGhkSHhahUhYWkvjGrK+fOdYKVKxTgZv/3lIGTQB3Lt/B58VrKtWtqLFdQkJCkh9kHt54iIOL+mva1MyUvhN7s3z6CsKCNU+5ZFQnr96jTKG8yqAJoJR7bnI42nLiyl2N7R57+RIZHUOl4qoflioVL0hMbBxnPng/0NfX+Z+ANFe1TiWu/ntdGTQB3Lh0C+8XPlSrW0Vju4SEBJWg6Z27N+7j6OKgUpbS139mpEjQS5Of9Eznr5pcBXPx8sELtfKXD1+Qq2Cuzz5ekQpF8Xr0Mtk6NZvXIjQwhMtHL3328dOrJ6/8ye/qqFaeP7sjTz6x5qNFdU/2nLvJ6ZuPCI+K5sFLX5bsPkXFInnJnyPxmPp6iU8VI0PVT1LG/z1+9MqPjC6/e14e3X+iVv7k/lPyu+dNlXNsXbuDKrUq0qhFAywszcmVJydDx/fn4b3HnDuZdHY1o8ldMDfPHjxTK3/+8Dm5C7p99vFKVCjOiyRe0x0HtyfQP5B9G//Rppvp3hPvN+R3dVIrz5/DiSfebzS2excMaXqtPk6mbWaU1z0PT+4/Uyt/+uAZed1zf/bxPCuW5Nmj56nQM5FR6XyqzsLakvAQ9cxReHAYTrmcP+tYNZrVpEj5oswZMEtjHUtrS8rULsfhzYeIi4373O6mWyERkWT7KGsEkM3cFO+3Qcm27du0Jvp6evSbv4l3H5wqFM7DnD6tlHVyu9gBcPOJN+UK5VGWv8tEhYRHftkA0gEr62xJfsIMCQ4lR67sqXKO7Rv3oG9gwKQ5ozE2mQDAvVsP+LHVgEzzfLS0tiQsidd0WHAYLjk/7zVdp/k3FK9QnKn9p6uU5y7oRvNuzRjUYsgX9TU9CwmPIpu5qVp5NgszvP0DNbZzc7ZHX0+Pm49eUrWkh7L85uPE4DP4o4xnZmdlnY3QEPXXdWhwKDlyuXzWsb5tXhfPCiUZ23dyanUvw0vv65HSgs4zTqmlYCl3ek3ry4ntxzm544TGelUaV8XIxIgT2zLPNN2X2nzsEmsO/suA5rVZMaIjk7o25tnrtwxb8rcyBV25aH7yuNgzdcM/3H3uQ1BYBKv+Ocel+4mfvD68U0doVvvb6vw8eRCrl2yga7M+DPtpDIaGhixaPxuzJP5IZmWFPAsxaPpADm8/ypHtqq/XgdMGcGjbYe5/Yho6K7IwM+H76qVZ988Zjl66Q0h4JMev3GX9P2eBzDMl/LUV9SzMqJnD+GfbIf7ZfkjX3Uk3FAq9NPlJz3SecQoPDsPCykKt3MLakrBkbhX9UM6CuRizajz3r9xj4bB5ydat0bwWr56+4v6V+8nWy2iszM0IjYxWKw+NiMLaQvN2BMFhkczafIhe31en27eVASjjnpucjjZ0m7lWubDc0ECfWb1aMGLpNtpMXg5ATkcben1fnd93nMDRxlLjOTKKkOBQslmrj8PKOhvBn9iOIKXG/28ke7bsZ97UJcqy65dvceDiNpq2acTGFVtT5Ty6FBYchmUSr2lLa8tktyP4UO6CbkxdPZk7l+/wvyGqGeSajWtQoGh+Zg2brXzvMDFLDDotLM0JMzMlKjLqC0ehe1YWpoRGqI8jNDwy2dc0wNB2DQkICWfw3HUAWJiaMKhtA6as3ImDTbY06W96FRIcSjYr9dd1ts94XectmJu5a2dw8/JtJg5O/m48kfnpPHDyeuRFriTWPeQq6Mb105/eKsAxpxMT1k/G96Uv03tMSXa6wyW3C4XLFmHjb+u/qM/pUb7s9jxOYp3RYx8/lQXdH3vxJoCYuHgK51ZNWRfOnTg19eKDRfsFczqxfVIvvPwCiYmNJ4+LPasPnMPEyJDCbqkzlaVLTx48S3ItUz6PvJw7ceGLj2/nYIu9ox13bqoG7T5erwkKCCZ3vs9f05cePX/0gtwF1deO5C6Ym8unrnyyvXNOZ2ZunI7Pi9eM6z5B7TXtVtANi2wWrD29Sq3timPLuHzqCiPajtS6/+lFvhxOSa5HevzqDZWKFUi2rZWFGQuGduJtcCgBIeHkdLLjkZcvAJ5J/NtkZs8ePievex618rzuebiQgnWF2XO6sHDTbF698GFY118yzZR6apGpOh24dOQiRSsUw9bZTlnm7umBs5szFw8n/8fK2sGGCesnExkaweROE4hK4tPZh6o3q0lCQgInth9Lja6nK9VLFuTygxe8+eAT/Y3HXrzyD6Z6Cc1bEbzbu+Xuc9W9R+4+T9yLyNXRRq1NTkdb8uVwICo2lu2nr/FdxWKYmxp/+SB07MSh05St5Imj8/s7ZkqUKUpOtxwcP3j6i48f4B9IRHgERUqo3kaeI1d2bOys8Xrx6ovPkR6cP/wvJSoWx/6D13Th0oXI7ubC+UPJb7dg62DDzI3TCQ+NYFTHX5J8TR/46yBDWg1T+dn4+yYAJvaczJJJS1N3QDpS3bMQl+895U3g+6zIjUcveOUXSHUNWxF8zN46GwVzuWBmYsyGA+fI7eJAuWQ+SGVGpw+fo3TFkjh8cLd1sdJFcHXLzqlDZ5Nta+dgy8JNswkPi2BAhxFERmT8tZyZ0ZEjR2jcuDHFihWjXr16bN2assz9uXPnaNeuHaVKlaJ06dK0bduW4ODgT7bTecbp4IZ/aNilEaOWjWHznA2YmJnQcVQX7l26y6XD7z8NtB7YhtYD29C72o/4efthbGLMuDUTsHexZ/6QOWTPk53sed5nPZ7cfkxcjOongxrNanHv0l18X/h+reF9NS2ql2bjkYsMWvgXvb6vTlRMLHO3HqVk/pwqezgt2X2SpbtPsWdaX3LY22BvZUG9soVZuicxMCiezxUvv0CW7DpJbmc7Khd9/ya7bO9pXB1scLC2xMs/iDUHzqMABrao/bWHmya2rN1Bu+6tWLB6JotmLcPUzJTBY/ty7eINTnwQOPUa0o1eQ7vxbYWW+HglBpy29jaUreQJgL2DLfr6+tRtVAuAW9fuKuttWrmNTr3aEBIUwrmTF7F3tKPnoK4EBQSzb9vBrzzitLF3/T6adW3CpOUTWTN7LSZmJvw4uge3L93m3OH3gVPHQe3pOKgDHap05o33G4xNjZm2bioOLvbMGPQ/XPPmwDVvDmX9R7ceExsTi6+XL75eqq/hd4vO71y5m2l2Dm9RqxwbD55j0Oy19Gr+TeJretM/lCzoprKH05LtR1i6/Rh7Zg8lh4MtAPvPXicsMorc2R0IDAlnz5lrXLjzmKUju6tsQRAQEsble0//++9w4hMSOHThJgBF8+VUHi8j275uF627Nee3lVNZ+ttKTM1M6f9LL25cuqUSOPUY3JnugzvTrFJbXnv7YmJqzPwN/8MpuwMTBk4lVx5XcuVxVda/f+shsTGxANjYWVO6UikAbO1tMTDQp/Z3NQC4c+0er70z39+cd3S9dcD169fp378/vXv3pmHDhpw7d45x48ZhY2NDnTp1NLY7evQogwcPpnfv3kycOBFDQ0MePHiQoj24dB44RYZFMr7tL3Sf8BNDfx9BfFw8Fw9fYOXEZSr19PT1MDA0gP8WIVs72pCvWH4Ahi9WT8v/VLk7fl7v09wepT3IkTcHO/7Yloaj0R1LMxP+HNaBGZsOMuKPbRgaGFCjZEGG/1BXZeG2IkFBfIKCD7cdmdilMcv3nWHHmev8sfsUdtnMKV8oD/2a1cTU2EhZLywy8StX/EPCsbEwo2Ypd/o2rYlNCr7+ISMID4uge4t+jJwymFlLfyU2No4TB08zY9xclXr6+voYGhqqXNcCHvmYs1x17cO7x78MmMzOzXsBmD9tMQH+ATRt04h2PVoTGhzKzSt3GNx9FAHJ3CmVkUSERTD0hxH0m9ibsYsTpzbOHT7P4glLVOrp6etjYGigvI62DrYU/G8Kavwf6t8c0K5iR7WAKTOzNDflz9HdmbF2DyMWbsLQQJ8apQszvP13SbymE/h4K6ENB8/h/SYAYyNDSnvkYe34Xrh/NKX+2OsNw+ZvVCl793jSTy1oUr1M2gzuKwoPi6B3q0EMnTSAqUsmEBcbz6lDZ5gzYaFKPb2PXtd2DnZ4FHMHYPrSSWrH/b58a+UHonweeZnxp+qddu8eTxw0lT1/Zc4tMwC1593XtmrVKsqUKUP//v0ByJ8/P9evX2fZsmUaA6f4+HgmT55Mly5d6NXr/ca5efOmbNsZPUUyO3c1c2v8Of0XGmxc31rXXcgUyrb8XdddyBScjaw+XUl80t7tPXXdhQyvWpPkb+YRKXPx1clPV0ojL8p+kybHtTm6nZAQ9cX7VlZWWFm9fw+rWbMmbdu2pWfP96/HXbt2MXr0aK5evYqRkZHaMW7cuEGrVq0YO3Yse/fu5dmzZ+TNm5f+/ftTqVKlT/ZN5xknIYQQQmRMaTVVt3r1ahYuXKhW3q9fP2V2CcDf3x97e9VvFnB0dCQ2NpbAwECcnNQ3kX35MnFPswULFjB8+HCKFCnC3r176d69O9u2baNQoeTXEErgJIQQQoh0pXPnzjRr1kyt/MNsk7beTbT98MMPtGzZEoAiRYrw77//snHjRiZOTP4LySVwEkIIIYRW0irj9PGUnCYODg68fftWpczf3x9DQ0NsbZO+ucHRMfGrxPLnz69Snj9/fnx8fD55Tp1vRyCEEEKIjEmhSJuflPL09OTMmTMqZadOnaJ48eJJrm8CKFq0KCYmJjx9+lSl/NmzZ7i6uibZ5kMSOAkhhBAiQ+rSpQuXLl1i4cKFPHnyhPXr17Nnzx569OihrHPo0CEaNGiAr2/iXbmWlpa0b9+etWvXsn//fp4/f87vv//O7du3adOmzSfPKVN1QgghhNCKrvdxKlmyJPPnz2fu3LksWbIEFxcXJk6cqLIVQWhoKE+fPiU2NlZZNnToUIyMjJgyZQrh4eG4u7uzbNkyPDw8kjqNCgmchBBCCJFh1alTJ9nNLps3b07z5s1VygwNDRkyZAhDhgz57PNJ4CSEEEIIrSgUus046YKscRJCCCGESCHJOAkhhBBCK4oEXffg65PASQghhBBaSZCpOiGEEEIIoYlknIQQQgihFVkcLoQQQgghNJKMkxBCCCG0ousNMHVBAichhBBCaOVzvlcus5CpOiGEEEKIFJKMkxBCCCG0khWn6iTjJIQQQgiRQpJxEkIIIYRWsuIGmBI4CSGEEEIrso+TEEIIIYTQSDJOQgghhNCKbEcghBBCCCE0koyTEEIIIbSSFReHS8ZJCCGEECKFJOMkhBBCCK1kxbvqJHASQgghhFZkcbgQQgghhNBIMk5CCCGE0IosDhdCCCGEEBolm3E6FXT/a/Ujc7Oy13UPMoVL+0bquguZQu8Wa3XdhUzhVbc/dN2FDM9K31TXXRBfSBaHCyGEEEKkkEzVCSGEEEIIjSTjJIQQQgitZMHdCCTjJIQQQgiRUpJxEkIIIYRWsuIaJwmchBBCCKGVrHhXnUzVCSGEEEKkkGSchBBCCKGVBF13QAck4ySEEEIIkUKScRJCCCGEVhTIGichhBBCCKGBZJyEEEIIoZWELLgDpgROQgghhNBKgkzVCSGEEEIITSTjJIQQQgityOJwIYQQQgihkWSchBBCCKGVrLgBpgROQgghhNCKTNUJIYQQQgiNJOMkhBBCCK1kxak6yTgJIYQQQqSQZJyEEEIIoZWsmHGSwEkIIYQQWpHF4UIIIYQQQiPJOAkhhBBCKwlZL+EkGSchhBBCiJSSjJMQQgghtJKQBdc4pYvAyS13TqbO+IWq1SsSGxvLP/uOMnb0NIICg5NtV6FiGTp2aU3pMiUoUDAv585cpMl3HdXqderyAw0b16VYMQ8ss1ny9MkLli9dx/q1W1EoFGk1rK/O681bZq7czoVbDzEyNKRm2aIM69wEa0uLT7bdsP8kG/85jY9fAE521rSqW5ku39dGT+/9i2LNnuPsO3UZrzdviYmJI7ujLQ2rlqHz9zUxNTZOy6F9NV5vApi5ZhcXbj/GyNCAmmWKMKxDI6wtzT/ZdsOBM2w8cBYf/0CcbK1pVacCXRrVUF7D+IQE1u49xalr93js7UtsbBx5XZ3o0qgmdcoXS+uhfVUOOZ1oN74bhSsXIy42jmuHL7Fp8irCg8OSbVeve2MqNa2Go5szRiZGvPX259yOk/yzdBex0THKeiW/KUulptXIW7IgTm7OnN56jOXDFqb1sL46Q1cX7H/ujVmFUihiY4k4fp63M/8gISQ02Xa2vTti20f9vTBo1RYCfvtTpcyqXROs2jbBKIcTcW/eEvLXHoJXbknVceiaSy4X+k7sjWeVUsTGxnLu4HkWT/qD0CDN11FfX5+WP7WgwjflyV0wN0bGRrx49ILNi//i9P4zGts553Rm+dE/MTM35Ydy7fD38U+LIaUbmecvaMrpPHCytLRgx541BLwN5MeugzE3N2PcxGGs27SERvXbJtu2Wo2KlK/gyZXLNzBO5g/3kOG9OXbkNGtX/UVIcAg1a1flt3mTyJc/N5PGz0rtIelEeGQUP078HZtsFswc3InIqBjmrt/DgBnLWTWpv0oA9LGlfx9kyZYDdG1Sm7JFC3Dl7hMWbNxHZHQMfVp/q6wXGh5JvUqlyJ/LBVMTY24+eMYffx/k4YtXzBrS5SuMMm2FR0bz469LsclmzswB7YiMjmHuxv0MmLWaVeN7JX8Ntx9hyd+H6dq4BmWL5OPKvWcs2Hwg8Rq2rAdAdEwsy3Ye4/vqpen0XXWMjQw4eP4GQ+eu5ZeuTWldt9LXGmqaMrUw5edNEwkNCGFxv9mYmJvSamQHBiwbybRWY5Jta25lwcW9Z/F+8JKYyGjyebrTZGArchXKzaK+vynrla5XHld3N+6fv4W51aeD2oxIz9yM7MtnkhAUgu+wKeibm2I3qAcuCybyqvOQT7ZXxMXzqvNglbK4N29VHtv81A7b3h0JWrGZqEs3MC1dDLsB3dA3MyVw0dpUHY+umFmY8dtfMwkOCGFy7ymYmpvy4+geTF4xkUHNNV9HY1Nj2vVrw8Gth9iyZCuxMbHUaFydiX+OZ+6o+exeuyfJdv0n9yUiNBwzc9O0GpLQMZ0HTp26/ICzixMN67XltY8vAK+8X7P/8GbqNajJwX+Oa2z728xFzJrxOwB/71yFoaFBkvW+qd6Mt28DlY9PnTyPtXU2fuzVielT5hETE5t6A9KRrYfP4RcYwqrJA3C2swHA2d6GzmPnc/LKHWqUKZpku6iYGFbsOELLOpXo3/Y7ACqV8CA0PJKVO4/StkE1bK0sAej7w7cqbSsUK0hEVAwrdh4hPDIKC7OM/Uax9ei/+AWFsGpCb5ztrAFwtrOm84TFnLx6jxqlCyfZLiomlhW7jtPymwr0/6EBAJWKuxMaEcnK3SdoW68KtlYWmBgbsW/uCKw+yF5VKu7O67fBrNpzMtMETjXa1sXa0ZYpLX4hyDcAgECft/yybSola5fh+tHLGtvumLNJ5fHdc7cwtTClYe9mmFqYEhUeBcCqkYuV2eLp5Yuk0Uh0y6plQwwd7XjRaTDx/wU8ca/9cV03F/PqFYg4+e8njxF9457G3+mZGGPT/QdCtu4lcMEqACLPXUE/myXW3X4geMNOEoJCUmUsutSofUPsnOwY2Gww/q8Tr6Ofjz8Lds6l4jcVOH8k6esYExVDhyqdCfsgS3r51BUcczjSulerJAOnKvUrU7h0ITYs2ESfCb3SZkDpTFbcx0nni8PrNajJuTMXlUETwMULV3n+7CX1G9ROtm1Kp9k+DJreuX7tNmZmptja2nxWf9Ork1fuUKZwfmXQBFDKIy85HO04cfm2xnaPX74mMjqGSiU9VMorlfQgJjaOM9c0v/ECWGczR4/EtHZGd/LqXcoUyqsMmgBKuechh6MtJ67c0djusZdv4jUsXlClvFJx98RreOM+AAb6+ipB0ztF8rry5hPT0hlJyW/K8uDCHWXQBPDoyn38XvpSqk7Zzz5eWGAoKBQkxL9/i85MU+yamNeoQOTlW8qgCSD6+h1ivV5jXrPiFx/fKH9u9M3NiDyrGshGnr2Mvokx5lXLffE50oOKdSpw899byqAJ4M7lO/i8eE2lupqvY0JCgkrQ9M7DGw9xcLFXKzc1M6XvxN4sn76CsODkp1JFxqbzv3buhQpw795DtfIH9x/jXqhAmp23UpVyBAQE4uf39tOVM4AnXq/Jn8tFrTx/TmeeeL3W2O5dwGNkqJp8NDZKfPw4ibZx8fFEREVz4dZD1u45QfNvKmJmkvHXOD3xekP+nM5q5fldnXni/UZjO339xCk8o48ynsZGiY8fe/mqtfnQ5XtPyefq9LndTbdyFMiJ98OXauWvHnqRo0DOFB1D30AfYzMTClUqRv0ejTmx6TAxUTGfbpiJGOXPTeyjZ2rlsU+eY5TP7ZPt9QwNcDu2ibxX95Nr70qsu/8AH37ASUgMRBWxcSrtFLGxyvNnBrkL5ubZg2dq5c8fPid3wU9fx4+VqFCcF4/Un98dB7cn0D+QfRv/0aabGVaCnl6a/KRnOp+qs7GxIiSJ6DwoKJhcbq5pcs7KVcrRolUjpk+ZR0JC5kg0hoRFks3cTK08m4U53n4BSbRI5ObigL6eHjcfPqeq5/upqJsPnwMQHBahUt8/KIRvfhqvfPx9jXKM7tHyS7ufLoSEa7qGZslfQ+f/ruGjl1QtVUhZfvO/N9ePr+GH9py+wtX7z5jap80X9Dx9sbC2ICIkXK08IjgMh5yfDhCtHG2Yd3G58vHprcdYO3ZZqvYxIzCwsiQhVP06xoeEYZJDPcD/UOzLV7z97U9i7j0CAwMsalfGbkBXjFxd8J80L7HOi1co4uMxLV6IyNMXlW1Niic+hw2ss6XiaHTH0tqSsCSej2HBYbgk8UEpOXWaf0PxCsWZ2n+6Snnugm4079aMQS0+vfZMZHw6D5y+tjx5c7Fs9Tz+PXeZ+XP+/HSDTM7CzJTva5Zn3d4TeORx/W9x+GPW7zsJgP5Hkb9NNgs2TBtMVHQsNx89Z9m2QygUCn7t114X3U8XLMxM+L5GGdbtP4VH7hz/LQ5/yvr9pwHQ10s6sXvj0QsmL99Gw8ql+K6q59fscroWFhDCxMYjMDYzIV+pgjTu1wI9PVg2NPPdNZdWwvYcUXkceeYSCZFRWHdsTtCfG4nzeYMiIpLQnYew7tic6PuPibp4HdPSxbHu0CyxUSb5UJlaCnkWYtD0gRzefpQj24+q/G7gtAEc2naY+9cf6Kh3upP5J83V6TxwCgoKwSqJTzY2NtYEpvK6D2dnR7bsWInfG386tO1NfHx8qh5fl6wszQiNiFQrDw2P+OSt9EM7NSEgOJTBs1YAiYHAoPaNmbJsKw62Vip1DQ0MKJo/Mb1dpkh+HG2tGb1gHW2/raYsz6isLDRdw8hPX8P2jQgIDmfwnDXAf9ewbUOmrNiOg6368/uxly/9Z66kZIHcTOrVKnUGkE6EB4djbqW+BYa5tSXhydz+/U5CfALPbj4GUK6V6jlvEIdX7VeWZwXxIWHoZ1O/jgZWlsRrsYYm/J8T2HRuiXHhgsT5JE49B8z6AwM7G1zmTQAgISyct7OX4ThuIHH+mrOsGUlYcBiWSTwfLa0tk92O4EO5C7oxdfVk7ly+w/+GqN6JXbNxDQoUzc+sYbOx+O88Jv/dKGNhaU6YmSlRkVFfOIr0KyuG1zoPnB7ef4xHEmuZ3D3yc+LY2VQ7j42tNVt3rkQPPVo3657k9GBGls/VOcn1SI+9fKlUwj3ZtlYWZiwY+SNvg0IJCAklp7MDj176AODpkTfZtkXyJa5ZefHaP8MHTvlcnXicxFqmx96+VCpWMIkW71lZmLFgeBfeBocSEBxGTmd7Hr1MXNvk6Z5Hpa63XwA9py3D1cmOuUM7qa0vy+h8Hie9lilHwZzcPnXjs4/37NYTAJzyuGSpwCn2yYsk1xkZ5ctN5PkrX3Dk9zmChNBwfPuPw8DeBn07G+Je+mBcIA8AUVc131SSkTx/9ILcBdWvY+6Cubl86tPX0TmnMzM3TsfnxWvGdZ9A3EdrwtwKumGRzYK1p1eptV1xbBmXT11hRNuRWvdfpD86f8c++M8xRo8bgouLE69fJ/7RKlOuJLnz5OLA/qOfaJ0y5uZmbNr6J3Z2NnxXvy2+vn6pctz0pHrpoizYtJc3AcE4/XdX2I0Hz3jlF0B1DVsRfMzeJhv2NonZkQ37TpE7uyPliia/QP/y3cQ/ZLmcHb6g9+lDdc9CLPjrAG8CQ3D6L9N24+FzXvkFUl3DVgQfs7fOhv1/GdQNB86QO7sD5YrkU/7+bXAovaYuw9LMhN9HdMPc1CT1B6Jj149cpvmwdtg42RL0JvGO1nyeBXHM5cy1I5c++3ge/2034Pdc800OmVHEiX+xG9AFA0c74v9bY2dSohBGOV14e/z8Zx/PsmEtFPHxRN9Wvxkn/m0Q8W+DALBq35SYpy+JunD9i/qfXpw//C/dRnTB3tmOt//d6Vm4dCGyu7lw/lDy19HWwYaZG6cTHhrBqI6/EBWhnjk68NdBrp9TvVblapalbd82TOw5Ga8n3qk3mHQoK35Xnc4Dp9WrNtOjZ0fWblrMzGkLMDMzZdzE4Vz49woH/jmmrDfs574M+7kvZUvWwevlKwDs7W2pXLU8AA6OdhgYGNC4SX0Arl65qay3ct0CPEsXZ8SQCdg72GHvYKc87v17jwhLYgFmRtOiTiU2/nOKQf9bTq9W9YmKjmXu+t2UdM+jsofTkq0HWLr1IHsW/EIOx8TrsP/0FcIio8id3ZHAkDD2nLzEhduPWDq2t/Kuu9CISPpM+YPvqpXFLbsDCoWCq/eesnbvCap5FqZYgYydbQJoUbsCGw+eZdBvq+nVok7iNdy4n5IF3VT2cFqy7TBLtx1hz5wR5HC0BWD/2WuJ19DFkcDQMPacusqFO49YOupH5TWMioml9/QVvAkMYXKv1rz09eel7/tdhQvlcVXezZiRHd94iG86N2TAnyPZMXczxmYmtBrZkUeX73H9g8Dp+wGt+H5AK36u0Ze33n6YZTNnyOoxnNt+Et9nPujp6+FetjD1ujfi+tHLPL3xPttk7+pI3hL5ATAxN8Xe1ZGy3ybeWn7/3zuEBmT8/YdCtu7Dql0TnOdPJHDRWvTNTLAb3IOoa7eJOPH+D75Nr/bY9uzAy4adlVNwrpt/J3TXIWKfeaFnYIB5rUpka96AkM27if/gg6PFtzXRt7Qg9pkXBnbWWDaqg1n5Uvj89DNkki0f9q7fR7OuTZi0fCJrZq/FxMyEH0f34Pal25w7/P46dhzUno6DOtChSmfeeL/B2NSYaeum4uBiz4xB/8M1bw5c8+ZQ1n906zGxMbH4evni+9Gds+8Wnd+5cjfT7xyeFen8XTosNJxmjTsxdcYY/lw5h7jYOA78c4wxo6aq1NPX18fQ0FBl9+ZChQuycu0ClXrvHvfr9TObNmwH4Js61QH4bd5ktfM3adiBM6cvpOqYdMHS3JQ/x/VhxqrtjJizBkNDA2qUKcrwzk1VrpkiQUF8QoLae+KG/Sfx9g3A2NiQ0oXysfbXgbjnfv8mYWJkRF5XZ9bvO8GbgGCMjAzJ6WTPgLbf0apu5a81zDRlaW7Kn7/8xIw1uxgxfwOGBgbUKF2Y4R0bJX0NP1oWueGfM3i/CcDYyIjShfKwdmJf3N2yK3//NjiU+88Tg/nh89ernX/fvJ9xdbRTK89oosIimdluPO3Gd6P3wiHEx8Vz7fAlNk5eqVJPT18PA0MD3n3VVWx0DD6PvKjXrRE2LnbExcTi98KXrTPXc3zDQZW2hSoVo8esfsrHNk62FK6U+LU109uM4/75jD/NpAiPwKf7COxH9sZ51i8o4uL++8qVJSr19PT00TM0gA+eo7EvvLHu0AwDe1vQ0yP2mRdvZywmZOMutfNYt2uCYc7sKGJiiLp8i1cdBxLz4Gmaj+9riQiLYOgPI+g3sTdjF/9CXGwc5w6fZ/GEj66jvj4GhgbK17qtgy0FiyVm3Mf/MVbtuO0qdlQLmLKirPhddXqKZHaSc7BKfm2MSBmvU3N13YXMIS5r7eOTVnq3yBxfpaFrY7NlrnWSuvCj+t7EQgtHvA5+ulIaWZejQ5oct8OrdWly3NSg8w0whRBCCCEyCp1P1QkhhBAiY8qKi8Ml4ySEEEIIkUKScRJCCCGEVmQDTCGEEEKIFMocm1Z8HpmqE0IIIYRIIck4CSGEEEIrsjhcCCGEEEJoJBknIYQQQmglKy4Ol4yTEEIIIUQKScZJCCGEEFrJihknCZyEEEIIoRWFLA4XQgghhBCaSMZJCCGEEFrJilN1knESQgghhEghyTgJIYQQQitZMeMkgZMQQgghtCLfVSeEEEIIITSSjJMQQgghtCLfVSeEEEIIkYEcOXKExo0bU6xYMerVq8fWrVtT3DYhIYEuXbrg4eHB3r17U9RGMk5CCCGE0IquF4dfv36d/v3707t3bxo2bMi5c+cYN24cNjY21KlT55Pt//jjD0xNTT/rnBI4CSGEEEIrug6cVq1aRZkyZejfvz8A+fPn5/r16yxbtuyTgdOlS5fYtGkT27dvp1KlSik+p0zVCSGEECJdCQkJwcvLS+0nJCREpd7Vq1epWrWqSlm1atW4desWsbGxGo8fFBTE8OHDmTp1KnZ2dp/VN8k4CSGEEEIrabUdwerVq1m4cKFaeb9+/ZTZJQB/f3/s7e1V6jg6OhIbG0tgYCBOTk5JHn/UqFE0aNCAKlWqfHbfJHASQgghRLrSuXNnmjVrplZuZWX1xcdet24dvr6+zJs3T6v2EjgJIYQQQitptR2BlZVVioIkBwcH3r59q1Lm7++PoaEhtra2SbY5e/Ysd+/epVSpUirlw4YNY+nSpezcuTPZc0rgJIQQQogMydPTkzNnztCzZ09l2alTpyhevDhGRkZJthkzZgyDBg1SKWvcuDHDhg1L0Z14sjhcCCGEEFpJSKOflOrSpQuXLl1i4cKFPHnyhPXr17Nnzx569OihrHPo0CEaNGiAr68vADly5MDd3V3lB8DFxYXcuXN/8pyScRJCCCGEVnT9XXUlS5Zk/vz5zJ07lyVLluDi4sLEiRNVMkehoaE8ffo02bvsPocETkIIIYTIsOrUqZPsFFvz5s1p3rx5sse4f/9+is8ngZMQQgghtJKg85zT15ds4OR9edVX6kbmFrd2vq67kCmU/+OprruQKcQmxOu6C5nCtoRCuu5ChpfTMFLXXRDis0nGSQghhBBa0fVXruiCBE5CCCGE0ErWm6iT7QiEEEIIIVJMMk5CCCGE0EpWnKqTjJMQQgghRApJxkkIIYQQWkmr76pLzyRwEkIIIYRWsuI+TjJVJ4QQQgiRQpJxEkIIIYRWsl6+STJOQgghhBApJhknIYQQQmhFtiMQQgghhBAaScZJCCGEEFrJinfVSeAkhBBCCK1kvbBJpuqEEEIIIVJMMk5CCCGE0IosDhdCCCGEEBpJxkkIIYQQWpHF4UIIIYQQKZT1wiaZqhNCCCGESDHJOAkhhBBCK7I4XAghhBBCaCQZJyGEEEJoRZEFVzlJ4CSEEEIIrchUnRBCCCGE0EgyTkIIIYTQSlbcx0kyTkIIIYQQKSQZJyGEEEJoJevlm9JJ4OT12o8ZSzdw4cZdjAwNqVmhFMN7tME6m+Un227YfZiNuw/z6s1bnOxtafVtTbq2+BY9PT1lnUXrd7Bk4061tp2a1WdY9zapOhZd0rNxxLhhZwzyFoP4OOLuXybmnzUQGZ5sO4tJmzT+LuqvecTfOgeAUa2WGNdqqVYn9sweYg6s+7LOpxOubtkZ9esQKlQtS2xMLMcOnGLm+HkEB4Uk2650+ZK07NCEYp5FyFsgN5fOXaVr8z5J1m3erjHtu7fGLW9OwsMiuHz+GvOmLubFM6+0GJJO5HTLwS9ThlGxWuJ1PHrgJNPGzvnkdSxToSStOzajhGdR8hbIzcVzV+nYtKdavaOXd5HTLUeSx5g1eQFL569OlXGkR9a5HKk1oSNulYsQHxvH40NXOD5pPVHByb/OP2SV04Guh6djZG7KkvIDCHsdkIY9Tp8ccjrRYXw3ClcuRlxsHFcPX2Lj5FWEB4cl265+98ZUbloNRzdnjEyM8Pf259yOk+xfuovY6Jiv1HuhSzoPnMIjIukxegY2Vtn438+9iYyKZs6qLQyYPJ9VM0apBEAfW7ppF4s37KRry4aUK16IK7cfsGDN30RGR9O3fTOVugb6+qyaOVqlzMnOJi2GpBvGpph2HYciIoToLfPAyATjeu0wbTecqOUTkm0auXSMWplRzeYY5CtO/OMbKuWK+Hiilo9XLQsN/OLupwfmFuas/HsRgQHBDP1pDGbmpgwZ24+Fa2bR8fufkm1boWpZSpUrwc2rtzE2MdZYr1XHpkyYNYq1Szcxc8I87B3s6DOsB8u2LKBpzfZEhEek9rC+OgsLc9ZsX0JgQBCDfxyFmbkZw8b2Z8m62bRt1CPZthWrlsOzXAluXLmNsbGRxnp9uwxX+33rDk1p1aEpxw6eTpVxpEdGFqa03jSayMBQ9vRdiJG5CdVH/kDTFUPY1GJyio/zzaRORIdFYWRumoa9Tb9MLUwZuWkiYQEhLOo3GxNzU1qP7MCgZSOZ0kr9/fBD5lYW/Lv3LN4PXhITGU1+T3eaDGxFrkK5+b3vb19pBOlHVlzjpPPAaes/J/ALCGb1zF9wdrAFwNnBlk7Dp3Ly4nVqlC+VZLuo6BiWb91Hy29rMqBTCwAqeRYlNDyClVv30a5RHWyts6m0KVkof5qORZcMy36DXjYbopaNUwYy0SEBmP04CQP30sQ/uKKxbYLXI9UCAwMMchYk/sHVJLNVavUziVYdm+Lo7ECHxj/x5rUfAL6v3rB+7zJq1K3CiUNnNLZdMmcFi2cvB2DZlgUYGBgkWa9xy2+5ePYK08fOUZb5+rxhzc4/KF2+BKePnU/FEenGD52a4eTsQNvvuuP733V8/eoNm/etoGbdqhw/pDmwWTR7Ob//tgyAVVt/x8Aw6beouzfvq5X9OnsMd27e5+G9x6kwivSpZLtaWDjZsLH5JMJ8E1/noT4BtNs+nnzflOLJkWufPEaBemXI7lmAfxfuotb4Dmnc4/SpZtu62DjaMqXFLwT6JmbbAnzeMnbbVErWLsP1o5c1tt0+RzVDf/fcLUwtTPmudzNMLUyJCo9K076nN7IdgQ6cvHidMsXclUETQKnCBcnh7MCJC9c0tnv8wpvIqGgqexZVKa/kWZSY2DjOXLmZVl1Olww9SpPw/K5K9ifh5QMSAt9g4FH6s45l4F4aPfNsxF0/ldrdTNdq1qvKpfNXlUETwLVLN/F68Yqa9aol21ahSNmnLkMjQ8LDVIPRsJDEx3r6On85poqa9apx8dxVZdAEcPXiDV4+96Z2/erJtk3pdfxY4eIeeBQpwI7Ne7Vqn1Hk+8YTrwv3lEETwKvLDwl+8Yb8dT79OjcyM6H2hI6cmvHXZ03tZTalvinL/Qt3lEETwKMr9/F76YtnnbKffbywwFBQKEiIz4phRNaj83fqxy9fkd/NVa08f64cPH7xSmM7/f/+yBh+9InU2Cgxff/4ubdKeXxCArU6DMTz++589+PPLN+yl/hM9CTXd3Ql4Y36GpkEPy/0nXJ+1rEMS1ZDERGaZJZKz8AAs+FLMB+/HrOBczGq9j0kM52akeRzz8vj+0/Vyh/ff0p+97ypco4ta3dQpVYlGrVogIWlBW55cjJ0fH8e3nvM+ZMXUuUculbAPS8P76tnfR4/eEoBj9S5jh9r2qohcXFx7N72T5ocP72wL+jK2wfeauVvH77CvqD6++jHKg1qSrh/MDc3HU+D3mUcOQrkxPvhS7Vy74de5CiQsvdLfQN9jM1MKFSpGA16NOb4psPERGW9NU6KNPpfeqbzqbqQsHCyWZirlVtZmvPqjb/Gdm7ZndDX1+Pm/SdUK1tCWX7zvzfs4A8+1bvlcGJw19YUzu9GXHwCx85dYf6av/H29WNcvy6pNxhdMrVEEZXE+pjIcPRsHFN+HDMLDNw9ibtyDOLjVX6V8PY1MQfWEe/zDD19AwwKl8Xomzbo2TgRs3vZFw5A96ytsxESHKpWHhIcgmuu7Klyju0bd2NgoM/kOb8o10Ldu/WAHq36Exsblyrn0DUrGytCk1hgGxyUetfxQ/r6+nzXvD5njv/LW7/MvcjZ1NqC6BD113lUcDhWuRySbWtfMAelu9ZnU8tf06p7GYaFtQURIeoZt4jgMBxzOn2yvbWjDfMvLlc+PrX1GGvGZvz3QJEyOg+ctGVhbkaTb6qybudBCuVzo+x/i8PX7ToEgJ7e+2Rao1qVVdpWLVMcM1MT1u48SI/WjcjhlPwbTlZiWLQSeoZGSU7Txd84zYehVPyj6xATjWGlhsSe3IEiWHOgKxLV/rY6P08ezKolGzh7/F/sHe3oPaQ7i9fPplOTnkRGZK31EamhSs0KODk7MO2DdWNCXZ0pXbmz/QyvbzzRdVcyvNCAEMY3HoGJmQn5ShWkcb8W6OnBn0MX6rprX13mmbdJOZ0HTlaWFoQmcSdRSFgEVpYWybYd2r0Nb4NCGDRlAQAWZqYM7tqaXxetwdHOOtm29auVZ82OA9x99DxzBE5RYeiZqmfuMLNA8YntCD5kWKoaCW99SHj5MEX1426dw6hKI/Rz5CU+gwdOwcGhWH10QwGAlbXVJ2+jT6nx/xvF7i37mTd1sbLs+uVbHLy4nWZtGrFhxdZUOY8uhQSFkM1afSsRa5vUu44fatKqIWGhYRzefzzVj53eRAWHY2Kl/jo3tbYgKkjz69yjcQWciubhwPBlyvZGZiYAmGQzJTrYhNjI6LTpdDoUHhyOuZX63xdza0vCgtSzzh9LiE/g2c3E2Y37F+4Q5BtAr3mDOLRqv7I8q0jv02ppQeeBU76c2XnyUn0t0+OXr6hUqmgSLd6zsjRn4fhBvA0M5m1wCLlcnHj039qmUoULpuj8yW13kJEk+L1C31F9bl7fMSfxj1O2UF7P1hkDNw9ijv71+R3QclFvevLkwVPyJbGWKb9HXs6d+PL1R3YOtjg42qndEebj9ZqggGDc8rl98TnSg8cPn1HAPZ9aeX73vJw98W+qnsvcwow639Zk385DREdl/j/8AY+SXstkXzAHz07f0tjOvoArJtnM6HFK/Xb5rkdm8vz0Lba0m56qfU3PXj32wjWJtUyuBXNy+9SNJFok79mtxCyecx6XLBc4ZUU6D5yqly/JgjXbePM2ECf7xDvrrt97zCtff41bEXzM3tYae9vEDNOG3YfI7epC+RKFkm2z/+S/6OvrUaRA7i/qf3oR9+AKxt/8gF42W+Wddfo5C6Bv60TMfc231n7IsGRVFAkJxF1P+T44hsWroEhIIOGV+qLqjObEoTMMHNULR2cH/HwTs2clyhQjp1sOjh/88jsMA/wDiQiPoMhHz80cubJjY2eNdzI3Q2Qkxw6eYsjoPjg5O/Dmv+tYskwxcuV25eiB1L1Ts36j2phbmLHzr8x9N907j49cperwVlg42xDuGwRAds/8WLs58fjwVY3tbm05yctzd1XK8tQsQYU+jdnVez6BT16nZbfTnetHLtNiWDtsnGwJepP4fpnfsyCOuZy5euTSZx/Po3wRAN48z1rXEWSqTidaNqjJxt1HGPjrfHq3a0pUdAxzVm6hZKH81ChfUllvycad/LFxF3uXzVBOre07cZ7wiEhyu7oQGBzK7qNnuXDjLn/+Olx51x1A64Hj+b52FfLkzE58fDzHzl9l+6FT/NCwFi6O9l99zGkh7tIRjCrUx6TdMGKPbQUjY4zrtiP+xQPi77+/O86oZnOMarQgcu5AtTVJhiWrkvDyAYrAN0mew7TXNOKunUTh/wr0DTAoVAbD0rWIu3gIRcjbNB3f17Bl7Q7ad2/FwtX/4/dZyzA1M2HI2H5cvXiD4x9sqth7SHd6De1Ggwot8PFKfKO0tbehXKXE28HtHGwx0DegXqPaANy8dkdZb9PKv+nUqy3BQSGcO3kBB0c7eg7qRlBAMHu3HfjKI04bm9dsp2OPH1i89jcW/G8ppmamDB/bnysXrnPsgwC079Ae9B3WgzrlmvLqg+tYvnIZAOwc7DAw0Kd+428AuHn1trLeO01aNcT7pQ//nknZh4OM7saGY5TuUo9my4Zwds42DM2MqT6qDd6XHvDkg8Cp0sCmVBrYjGXVhhDi/ZYQL39CvFRf71Y5E99HX11+lOV2Dj+28RB1Ojdk4J8j2TF3M8ZmJrQe2ZGHl+9x7YPAqcmAVjQZ0IrhNfry1tsPs2zmDFs9hrPbT+L7zAc9fT3cyxamfvdGXDt6mac3JNuUFeg8cLI0N2PZ1BHMWLqB4TMWY2hgQI3ypRjxY1uVabSEBAXxCQlqM0Ibdh/G67UfxkZGlC7qzrpZY3DPm0ulTu4czqzfdZi3QcEoFAryuLrw80/taPNd7a8xxK8jOpKolb9i3LAzJq0GQkIccfevELN/jWo9PX30DAzUthDQz1UQffvsRJ/eo/EUirevMarYAD1LG9DTI8H/FTH7VxN34WAaDOjrCw8Lp1uLvoycMoTflv5KbGwcxw+eZsY41UXHevp6GBoaqjw/C3jkY87yaSr13j3+ZcAk5f5C86Yt5q1/IM3aNKJ9j9aEBody48pt5ndfQoB/5tiBPTwsnE7NezFmyjDm/DmNuNg4jh04xdSxs1Xq6evrq13Hgh75WbBihkq9d49/7j+B7ZvePz+dXRypULUsfy7IvF+v8rGYsEg2t51K7QkdafR7PxLi4nl8+ArHJq5Xqaenr4++ofrrXCSKCotkRrvxtB/fjT4LhxAfF8+1w5dYP3mlSj09fT0MDA2UlzE2OoZXj7yo160Rti52xMXE4vfCly0z13NsQ+Z4H/xcCZlgmcbn0lMks+Nc9MOzX7MvmVbc2vm67kKmUP6PjD8dmB7EJsR/upL4pJ/Mkl8OID7tpn6krruQKax+9rfOzt0hd/M0Oe6659vS5LipQecbYAohhBBCZBQ6n6oTQgghRMaUFb/kVzJOQgghhBApJBknIYQQQmglK26AKRknIYQQQogUkoyTEEIIIbQiG2AKIYQQQqSQLA4XQgghhBAaScZJCCGEEFqRxeFCCCGEEEIjyTgJIYQQQiuyOFwIIYQQIoWS+brbTEum6oQQQgghUkgyTkIIIYTQimxHIIQQQgghNJKMkxBCCCG0IovDhRBCCCFSSPZxEkIIIYQQGknGSQghhBBakcXhQgghhBBCI8k4CSGEEEIrsgGmEEIIIYTQSDJOQgghhNCKbEcghBBCCJFCsh2BEEIIIYTQSDJOQgghhNCKbEcghBBCCCE0koyTEEIIIbSSFbcjkMBJCCGEEFqRqTohhBBCCKGRZJyEEEIIoZWsuB1BsoHT1RqzvlY/MrVi7eJ13YVMwVDPQNddyBS22tjruguZQt5V3+q6Cxmefs7Cuu6CEJ9NMk5CCCGE0EqCLA4XQgghhEiZrBc2yeJwIYQQQogUk4yTEEIIIbQi2xEIIYQQQgiNJOMkhBBCCK1kxYyTBE5CCCGE0EpW/MoVmaoTQgghhEghyTgJIYQQQitZcapOMk5CCCGEyLCOHDlC48aNKVasGPXq1WPr1q3J1n/16hVjx46lbt26lChRglq1ajF58mSCg4NTdD7JOAkhhBBCK7r+rrrr16/Tv39/evfuTcOGDTl37hzjxo3DxsaGOnXqJNnm6dOnREVFMWbMGPLmzYu3tzcTJkzg2bNnLF++/JPnlMBJCCGEEBnSqlWrKFOmDP379wcgf/78XL9+nWXLlmkMnKpUqUKVKlWUj93c3BgxYgR9+/YlLCwMS0vLZM8pgZMQQgghtJJWd9WFhIQQEhKiVm5lZYWVlZXy8dWrV2nbtq1KnWrVqjF69GhiY2MxMjJK0flCQ0MxNjbG1NT0k3UlcBJCCCGEVtJqcfjq1atZuHChWnm/fv2U2SUAf39/7O3tVeo4OjoSGxtLYGAgTk5OnzxXQEAA8+fPp3Xr1hgafjosksBJCCGEEOlK586dadasmVr5h9mm1BASEsKPP/5I7ty5GTFiRIraSOAkhBBCCK2k1VTdx1Nymjg4OPD27VuVMn9/fwwNDbG1tU22bWBgIN27d8fGxoZFixZhbGycor7JdgRCCCGEyJA8PT05c+aMStmpU6coXrx4suub/P396dSpE7a2tixevDhFa5vekcBJCCGEEFpJQJEmPynVpUsXLl26xMKFC3ny5Anr169nz5499OjRQ1nn0KFDNGjQAF9fXwB8fX3p0KED5ubmTJo0iZCQEPz8/PDz8yMmJuaT55SpOiGEEEJoRdf7OJUsWZL58+czd+5clixZgouLCxMnTlTZiiA0NJSnT58SGxsLwJkzZ3j69CkAtWvXVjnemjVrqFChQrLn1FMkM0F5PkdzrQcj3ivWLl7XXcgUqqzz03UXMoVN2Wx03YVMIe+q9rruQoann7OwrruQKRjnLq2zc5dwqZQmx73x+lyaHDc1SMZJCCGEEFpJSKPF4emZrHESQgghhEghyTgJIYQQQiu6XuOkCxI4CSGEEEIrMlUnhBBCCCE0koyTEEIIIbSSFafqJOMkhBBCCJFC6SLjZJLLidyTu2NdpRiKmDgCD17k2cRVxAeFJdsu59AfyDn0B7XyV0t28mLSauVjl58a49C8OqZuzuibGBHt7Yf/tlO8WrITRdSndwnNKPTsnDBp8iMGBYpDfBxxty8QvWsFRCZ/HS1n7dT4u6h1s4i7dgr09DGq0QTDwmXQc86FnoERCW+8iDm2jfhb51N7KDrj6padEZMHUb5qGWJj4jh+8BSzxs8nJCg02Xae5UvQvMP3FCtVhDwF3Lh8/ho9mvdLsm6DJnXoPrATefK7ERQQzJ6t/7Dof8uIjYlNiyHphFFOZ5zH9MSiYkkUsXGEHj2P79Q/SQhO/rno0L89jgPU90d6u+xv3sxYrnxc+OE+jcfwHjSdkL0nte98OuflF8jMjQe4cPcpRoYG1CzlwbAf6mFtafbJthsOX2DjkQv4vA3GySYbrWqVoUuDyujp6X2FnuuOl88bZixezb/XbmNkZEjNimX+396dh0VVt28Av2dhXxRUUAhceN0AlSW3skQrtQJBDdPeeM3MNUotDbdwz7QMFyQzTcUlc0VFc4FEywyNJXMrxXABRQjZGRhm5vcHPyaJRZaRMwfuz3V1xZyZgXsQ9Jnvec73wUcTA9DM0vyxz90RcQzfHjyO1AcZsGlhjZHeL2Csv0+571m3QaOrfP6K2e/h5QHP6OR16KOm2OMkeOEkNTOG895FUGbm4PqkLyA1NYLj3AB03jIbV/zmPvb5mhIVLv/rccVpmeVuy5uZIfPwzyj44zbUhUUw9+iMp6b7w7RrW1yf+LlOX49gjExgMmkJNPm5UGz/DBJDYxi+OgYmb89F4brZ1T61YM3MCscMX3odso49UPJHQukBA0MYDnwNyl9/gComAihRQt6jH0zemg3Fvi9Rcu7YE3hRDcvUzBRf7wtFVmYWPpoYDBNTY0ybNwVrtq7AW76Tq31ur36e6PF0N1xKuAJDo6rnI706YjA+WTcfu7fuxxcLQ/GfLh3wbtB4tLRtgY/fX6LrlyQIqZkJHLd9CtXDHKRM+xQSE2PYzBwLh/XzcWt0xZ+1f9OUqJA8eka5YyX/+p3+y396hee1enc0TJ9xR95P8fV7AXosv7AI41eEo7m5KVZMGoHCIiVW7Y3G+2t2Ycvst6otgDYcPoP1B09j7MvP4ukubRH/522s3fcDCouUmOLn1XAvooHlFxRi3EeL0dzSAp/PfR8FiiKs2vgt3pv/ObZ+Mb/a79lXO/bjy2378PbrQ/F0966Iv/QH1nzzHQoVRXj3f/7ax21fvajS5/6ScAnPeHZ/Iq+LhCN44WT75iAY2Fjhku8cKO+X/uVYfO9vuB5ahuYveiIrKu6xnyMv/s9q77/72a5yt3POXoLMzBh2gcMgNTOGOl9R9xegJwz6DILE0hqFobOgySn9Pqqz/obpe8sh6/o0VFd/rfK56tv/+v7J5JA5doLqatw/q1XKYuQvmwAU5msfprr+GyTNW8LQa1ijKJxeC/BFK5sWeMtnIh7czwAApKU+QHjkBjz/0jM4c/LnKp+7IWQLvvpiMwDgq92rIZPLKn3c5Jnv4EzUz1gaVFqwnzt9HgAwY+H72Bq2Ezeu3dTlSxJE89eHQG5jjVujZqAkrXRqecn9DLTbvRLmA3oh79T5x34OReIftbvfQA7jHl2QH3PhsataYrb3dDzSs/OwZc5Y2FqVTo63tbbEmE8248xv19HfrVOlz1MUK/HN0bN4rb8n3htROmKir4sTcguKsPnoWYx+oResLEwb7HU0pL1Ho5GemYXwkIWwbWkNAGjdsgUCps/HmdgE9O9T+a7biqJibPruEF579QW8P7b0zMYznt2Rm5ePb747jDd8B8OqWemfQY+uHcs9V6kswcWrN/BcT7carWqJGXucBND8RU/kxF7RFk0AkPfrH1DcToPVSz2f2NcteZgLaDSAWv3EvkZDknXtCdXNy9qiCQDUt65BnZkGuXPtvo+yrk9DYmYJZdypfw5q1OWKJu3XuJsESbMWdc6tT55/6RnE/ZKoLZoA4LdfLyHldir6v9Sv2udWM7lIq7l1Mzi0s8e5mPKFQ1nxNGDI83VIrX/MB/RCwYVL2qIJAAoTrqL4zn2YD+z1RL6mhVdPyK0skR0R/UQ+v744c/FPeHZy1BZNAOD2HwfYtWyO079V/QYyKSUdhUVK9HV1Kne8r0sHFJeocPbSjSeWWWinYxPg6dpFWzQBgJtLJ9jbtkLML1WvTibduoNCRVGFFaNnPLujWKnETxd+q/K5Z2ITkJ2bh6EvNo7f6eqoNZon8p8+E7xwMunkgMI/7lQ4XvjnXZh0euqxz5fIZfBI3ITet/fA7ew62AUOA6RVvCyZFFITI1g+44o2E3zwYEcU1IWNo8dJausA9f3bFY6r0+5AautQq89l4OkFTX5OtatUZWQdnKFOq/jnJ0YdOrVH0h9/VTie9GcyOnRqV+/Pr1KVFullgybLFBeV/gw6dW5f76+hD4z+44ji67cqHC9Oug0jJ8fHPl8il6Hjz9vR5ephOEVtRIsJ/lX/Tv8/S7+BKHmYg9yYC3XOLQY3UzPgZGdT4biTXUvcTK16lqNUWno6ykBW/vtoaFC6MpqU0njnQCbduov/tKv4b0mHtva4eftulc+T/v/PnIG8/IkZAwO59vNW5XD0j2hmYY7ne7vXJTLpOcFP1cmbmUGVU3EloyQ7D0YOrap9ruKve7i1eCvyL/0FiUwG6yG94DDrvzBysMVfQevLPdagVXN4/vaN9nb6dz/grzlf6+ZF6AGJiRmgqPh91BTkQWJV8S/aKpmYQ9b1aZScPwmoSqp9qNyjP2QdXKDY8UVt4+oly2YWyM2peJonNysX9g6t6/35c7Nzkfn3Q3TzcMaerQe0x7t5uAAAmjW3rOqpoiKzNK/0d1qVnQcDe9tqn1t8KxVpyzdBcSUJEpkMFi/1RasPx8DAwRb3Pw6t9DnSZuYw9+qF7D3HAWX1P7Nil5NfCAtTowrHLUxNkJKRXeXzHG2sIZVI8PvNFPTr/s9ppd9vpgAAsvMLdR9WT+Tk5cPCzKzCcUtzM6SmVV0wOtq1hlQqwe/XbuC5Xm7a479fK12dy86t+DMOANk5eThzPgHDB3tpi6zGrCmeqhP1n2rG/vJXzmTHJEBVUIQ2E7yRsmYfih95F6XMzMHvQ2ZCamIEc4+OsH//NThJJEiatrahY+s1uVs/SOQGUMbFVPs4qWMnGL02Bcr40yhJON0w4RqBbzfuwYQP3kb8L4mIPnoGHbs64f05k1BSUgK1pnGcNq6PnEOnyt3O/zEO6gIFrMf6IePL3ShJfVDhOZavPA+poQGyI35oqJiiY2ZihKHP9sD2k7Ho7NgaT3dph/g/b2HHyVgAgLSRX1VXF2amJvB9qT+27T+Kzk5t0bOHM+J/v4btB74H8M8q3r8dP3MOSmUJvF98riHjUgMSvHAqyc6HzLLiuwF5M3OUPGY7gsr8fegn2E0aCrNuHcoVTlCpkX8xCQCQG3sFxfcfouO6abj/zVHtcTHTFOYDxhW/jxJTc6Cg+kvpH2Xg4QV1eirUt6puzpXYOsBk3MdQJf+Bou/W1CmvPsrJzoVFJY2cFs0tkP0wRydfY/O6HbB3tEPw57OwMGQuihRFCPtsI8ZMfgMZj/QEiZkqJ6/S32lZM3OoHrOtQ2Vyjp5Bi3HDYeLihNxKCqdmvgNRnJyCwsRrdcorJpZmJsgtKKpwPLegEM3MjKt97oejBiEzNx/TQ3cDAMyMDTHN/0Us3XYULZs33gZmS3Mz5OZXXB3KyctHM4vqX/eMiW8iMysH0xaWrqqbmZrgg3dGY/Gab9DSunmlzzkc9RMc7VrDzbnyRv3GRtME3/AJXjgprlfey2TS6Slkn6m6+e7xql8+zP+9tFgybt+6cRRODyrvZZLaOkD1Z2KNPoekRWvI2ndF0fGdVT/GygYmExZCnZkGxZZPHns6T0xuXk+GU6eKfUZOndrh3Gnd9M4oi5WYP/0TrFy4FrZtbJB65x6MjI0w/eN3kXj+ok6+htCKku7A8D8Ve5kMnRyRfzahzp+3sn5RA8fWMPV0RvrqbXX+vGLSoU1LJN2reHopKTUDfZ07VPtcS1NjrJ06Gn9n5yEzNx9PtbLGjZTSQtT9P7XrgxSTDo72SLqVUuH4zVsp6OPRrdrnWpqbIXTxTGQ8zEJmVg4c2tjiRnJpT6e7S+cKj7+TmobEK39iyv9e0014EVA3wVN1gjeHP4yKg2UfFxjYWmmPmXt0grGjLR6efHxz8r+19HsOGpXqscWQZW9nAIAiOa3WX0MflVz5FTInV0gs/7lyROrYCVJrW5Rcqdk/+nKP/tCo1Sip4jSdxLwZTCYsBBQFKPx6IVAs/m0cHnXm5Fl49nVDK9uW2mPdPFxg72iHMyd+0unXysnKxfWrScjPK8Ab74xEVmY2ThxuHKea8k6dh2mvbpDb/POzaOzWGYYOrZF3KrbWn8/Suz80KhUUl65XuK/Z0IHQqNXIPniqkmc2Ps/36Ii4P27hwcN/Vu4uJt1FakYWnnfrWM0z/9GimTk6PmULEyMD7Iw6j7a2LdCzS+O4MKEy/Xt74Nffr+LB3/9ccfzb1etISUuHVxVbEfxbS6vm6NTeESbGRtgRcQztnmqDXj2cKzwuMvpHSCQSeL9Q/VW4JG6Crzg92H4Crd9+BZ03z8bdld9BamIIx7kByP31GrIeKZzsp/vjqekjkdB3ivYUXLfjnyN99ykUJqVCIpfCanAv2Ix+AWlbj6E4tfS0h8zCFF12fIyM/aeh+OseIJHColcXtJngg4dRccj/rXFchqv85TgM+r0K47FzUHziW8DACEavjoEq+RpUjxROBi+9DsMXX0fBpxOheVj+nauBhxfUyVehyaykmJQbwnj8AkiatYBi1ypIW7YB0EZ7tzrlpuhXn/ZtO4jR4/yxautyrP98E4xNjDBt3hQkXvgdp0+e1T5u4gdjMeGDsfDuMxL37t4HAFi1aA7PvqVX0Fi3tIJMJsWL3gMAAJcTr2of94xXb7T7T1vcuJYEcwszDHj5ebwyfBBmjp+H/LyCBn7FT0bWd9/DOmAonvoyGBlrd0BibASbj8aiIP4K8n74ZyuGloGj0fLdN3DjhXHa3qX2EWuQdSAaxTfvQiKXwfyFPmjuPwgPdxxBySPbRJRp5jsAhXFXoLxzv8Fen5BG9PfEt9EXMG3td5jk+zwUxSVYtScKPZyeQv8e/5waWn/oNDYcOoPIT9+DXcvmAIDvf7mEPEUR2tpa42FuASLPXcT5q8nYMOPNKvt1GoPXXhmInQeP4/35KzElYAQKi4oRsvFb9HDuWG4Ppy+378NX2/fj6NZVsLMtvTDp6KmzyMsvRLun2iAzOweRUT/hfOJlbFg+R3vV3aMio8/C3aUTHNpUfxFEY1KTrVgaG8ELJ1VeIa74B6PdonHouP4DaJQqPDz5K24t+Kbc4yRSKSRyGR7tYVT8dQ+t33kVBjZWkAAovJmK5OBvkLb5e+1j1EXFKLxxF63f8YZhmxbQFCmhuJ2GO8u2I23biQZ6lQ2gqBCF6z+Gke87MH5zJqBSoeTKBRQd2lTuYRKJBBKZDED5vyilbTtD2soOipgDqIzEojlk9qWnAkz+F1Th/vyl46F5WLH/REzy8wowfsR7CFoyDSu+WoQSZQlOnzyLz4JXl3ucRCqFXC4v97Po1Lk9Vm5cWu5xZbc/nroEh74rHRFSoizB0JEvo62TAzQaDS4lXMUE//cRdy7xib62hqTOK8St/82C7bxJsF81C5qSEuT+cB4PPtlQ/oGSir/TxcmpsB4zFPKWVoBEguK/7iJtyVd4uD2ywtcxcesCw3b2+Hvjvif8ivSHuYkRvp4ZgOU7j+Oj9fsgl8nQv0cnzBw9qNwO2Bq1Bip1xeuddkadR0r6QxgayOHRyRHb5r6NTg6N+x95czNTbFoxD59+uRUzlq6BXC6HVx8PfDQpoJLvmbrCKeGdB4/h7r0HMDQ0hKdrZ2xbvRCdO7St8HUSr/yJ26n38Za/95N+SSQwiaaacvEXu+ENmaXRcn1DJXSERuHZ7Y13r5mGtMuiudARGoX2WyrO1KPakT7VVegIjYJh25qdcnwSnrJ2fSKf927mpSfyeXVB8BUnIiIiEqemeKpO8OZwIiIiIrHgihMRERHVib7PlXsSuOJEREREVENccSIiIqI6aYqz6rjiRERERFRDXHEiIiKiOmmKV9WxcCIiIqI64aw6IiIiIqoSV5yIiIioTpriqTquOBERERHVEFeciIiIqE6a4gaYLJyIiIioTniqjoiIiIiqxBUnIiIiqhNuR0BEREREVeKKExEREdVJU+xxYuFEREREddIUr6rjqToiIiKiGuKKExEREdWJhs3hRERERFQVrjgRERFRnbDHiYiIiIiqxBUnIiIiqhNuR0BERERUQ2wOJyIiIqIqccWJiIiI6qQpnqrjihMRERFRDXHFiYiIiOqkKa44sXAiIiKiOml6ZRNP1RERERHVmETTFNfZiIiIiOqAK05ERERENcTCiYiIiKiGWDgRERER1RALJyIiIqIaYuFEREREVEMsnIiIiIhqiIUTERERUQ2xcCIiIiKqIRZORERERDXEwomIiIiohkQz5Hfz5s3V3j927NgGSiJuly9frvZ+FxeXBkrSOMTFxSE0NBSpqakoKSmBRqOBRCJBdHS00NFEYfHixZBIJFXeP2/evAZMI04nTpyo9v5BgwY1UJLGobi4GMePH0dKSgpKSkq0xwMDAwVMRfpENIVTfn6+0BEahU8//bTK+yQSCcLDwxswjfjNnTsXs2fPhqurK6RSLuDWlqurq9ARRO/UqVPV3s/CqXYmT54MCwsLuLi4wNDQUOg4pIc45JeoHvz9/bFnzx6hYxCRjnh7eyMyMlLoGKTHRLPitGTJkmrv55J+7f3555+4ceMGiouLtcf8/PyECyRCvXv3xvLlyzFo0KBy7055yrNmJk2aVO3969evb6AkjUNMTAyuX7+OoqIi7TGeYqodd3d3/PHHH+jcubPQUUhPiaZw4j9EuhUaGorY2FgkJSWhf//+OHPmDDw9PVk41dJvv/0GALh06ZL2GE951tzbb78tdIRGIzg4GAqFArGxsfD398fx48fRrVs3oWOJTlxcHA4cOAB7e/tyb4YOHz4sYCrSJzxV10T5+Pjg4MGD8PPzw6FDh5CRkYGZM2c+tgmfiPSTj48PDh8+rP1/fn4+xo8fj507dwodTVRSUlIqPW5vb9/ASUhfiWbFqUxmZia+/vpr3Lhxo9xyNN/h146RkRGkUinkcjny8vLQokUL3Lt3T+hYosTTI/WXnJyML774osLvNa9OrDkjIyMAgImJCdLS0mBlZYX09HSBU4lPWYH0999/l/tZJCojusJpxowZePnllxETE4OFCxfiwIEDsLa2FjqW6Li6uiInJwf+/v4YPnw4TE1N4e7uLnQs0eHpEd2YPXs23n//fXzyyScIDw/H/v37oVarhY4lKgMGDEBOTg7GjRuH4cOHQyKRwN/fX+hYohMdHY3ly5fjwYMHsLa2RmpqKpycnHDkyBGho5G+0IjMsGHDNBqNRuPt7a09Nnz4cKHiiJJardakpqZqb9+5c0dz9epVAROJV9nPYdn/8/LyNKNHjxYykihV9ntddoweT6VSaeLi4rS3i4qKNDk5OQImEi8fHx9NZmamxtfXV6PRaDTnzp3TzJ49W9hQpFdEt/GMXF66SGZjY4OYmBhcuXIF2dnZAqcSF4lEggkTJmhvP/XUU+jSpYuAicTL2NgYwD+nRwwMDHh6pA4MDQ2hVqvRtm1bbN++HSdPnuTebbUglUqxaNEi7W1DQ0NYWFgImEi85HI5rKysoFaroVar0adPn3IXfxCJ7lTd5MmTkZubi6CgICxevBj5+fmYPXu20LFEx9nZGRcvXkT37t2FjiJqXl5ePD2iA3PmzEFhYSHmzZuH1atXIzY2FsuXLxc6lqj07dsXx48fx6BBg6rdjZ2qZ2lpifz8fDz99NOYMWMGrK2tYWpqKnQs0iO8qq6JGjJkCG7fvg07OzuYmJhoj/OS27orLi5GUVER3+mTINzd3VFYWAi5XA5DQ0Pt+J/4+Hiho4lKQUEBjIyMoNFocPjwYeTm5sLHxwdWVlZCRyM9wcKpieIlt7pRVFSEnTt3Ii4uDhKJBJ6enhg9erT2CiciEp/09HRcvHgREokE3bp1Q6tWrYSORHqEhVMTlZqaWulxOzu7Bk4iblOnToWZmRmGDh0KAIiMjEROTg7WrFkjcDJqai5cuFDp8Z49ezZwEnHbs2cP1q1bhz59+kCj0eDChQuYMmUKXnvtNaGjkZ4QXY8T6cbEiRO1HxcVFeHu3bto3749L7mtpevXr+Po0aPa23369MErr7wiYCJqqjZt2qT9uKioCBcvXoSLiwv3uKuljRs34sCBA9pTcw8fPsSoUaNYOJGWaAqn3r17o3v37vDw8IC7uzt69OhRrjeHauffvUyXL1/mDsN14OzsjMTERLi5uQEoHcHi6uoqbCgRyszMxO7du5GSkoKSkhLt8WXLlgmYSlz+Pdfv3r17+OSTTwRKI15WVlYwMzPT3jYzM2N/E5UjmsIpOjoaiYmJSEhIwIYNG3D58mXY29vDw8MDHh4efJdfTy4uLrh48aLQMUTDx8cHAFBSUoJRo0ZpT3GmpqaiQ4cOQkYTpSlTpsDT0xN9+/aFTCYTOk6j0Lp1ayQlJQkdQzTKxk05Ojpi5MiReOGFFyCRSBAdHc2Bv1SOaAonc3Nz9OvXD/369QNQeuXD/v37sXXrVuzYsYOFUy09OpNOrVbjypUrsLGxETCRuPz73T3VT2FhIWbOnCl0DFFbvHixdhsCtVqNq1evwtnZWeBU4lG2b5ijoyMcHR21x1944QWhIpGeEk1zeFpaGhISEpCQkIDff/8dQOkqiZubG9zc3Hg1WC2FhoZqP5bJZLC3t8fgwYN5NVgtqFQqvPrqqzh27JjQUUQvJCQEHh4e6N+/v9BRROvAgQPaj8t+pz09PQVMJD4qlQqff/45goKChI5Cekw0K079+/eHs7Mz3nrrLXz44YcwNDQUOpJoqVQq5Ofn8y+HepLJZGjfvj1SU1N5NWI9hYeH46uvvoKBgYF2OgD3IKo5lUqFn376CStXrhQ6iqjJZDL+zNFjiaZw+vbbb5GYmIioqChs2bIF9vb22tWmbt26sZCqBf7loDs5OTl49dVX0b1793IXK/BUXu0kJCQIHUHUZDIZUlNTUVxczL8L66lLly6YNGkShgwZUm7H8EGDBgmYivSJaE7V/dvdu3dx6tQphIeH4/79+9rTd1Qz8+fPR1paGv9yqKfz589XerxXr14NnET8oqOj8euvvwIo/f4NGDBA4ETi8tFHHyEpKQkDBw4s9zs9duxYAVOJT1UjvHiFJ5URzYoTACQlJWn7nOLj45Gbm4sePXpg1KhRQkcTneLiYlhZWSE2NrbccRZOtcMCSTc+//xz/P7779qrFcPDwxEfH48PP/xQ4GTiUdbUrNFoOCC5Hlgg0eOIZsWpd+/esLGxgbu7u3Yvp7Zt2wodi5o4d3d37ZVMSqUSJSUlMDEx4anQWvLx8cHBgwchlUoBlPbs+Pn5cXYiNTiuONHjiGbFKSoqisNTSe882puj0Wi0+41R7eXk5KB58+YAgNzcXGHDUJPl5eWl/bioqAhRUVHcqoXKEc2KEwD88ssv2LFjB27evAkAcHJywn//+1/07t1b4GRE//Dz80NERITQMUQlMjISK1euRO/evbXzwWbMmMH92UhwarUab7zxBnbt2iV0FNITollxiomJwaJFi/Duu+/i3XffhUajweXLlzFnzhwEBwdz/xcSxIkTJ7Qfq9VqXLp0iXth1YG3tzd69eqlvchjxowZnEhPeiE5ORl///230DFIj4imcNq0aRPCwsLQpUsX7bGuXbvC1dUVS5YsYeFUQ5z5p1unTp3Sfly26WBYWJiAicQlKSkJTk5OuHz5MoDSMSEA8ODBAzx48AAuLi5CxhMVzvvTjUf7FgGgVatWmDFjhoCJSN+I5lTdkCFDqtyhubr7qLy8vDztzL+EhATO/CNBffzxx1i8eDECAgIq3CeRSBAeHi5AKnEaNWoUPD094eLiUm7e3+DBgwVMRdT4iKZwGj58OPbv31/r+6h6j878u3v3Lq5evSp0JGqCioqKKpzirOwYVc3X1xcHDx4UOgZRoyeaU3W3b9/GpEmTKr3vzp07DZxGvKqa+Tdt2jS4ubkJG46arFGjRpWbtVbVMaqal5cXTp8+zbYFoidMNIVTdX0jb7/9dgMmETfO/CN9kp6ejrS0NCgUCly5cgVlC+B5eXkoLCwUOJ24cN4fUcMQzak60o2EhARtj9Pdu3c586+O2GSvGwcOHMD+/ftx6dIluLq6ao+bmZlh+PDh3MmeBKFSqZCRkQGVSqU9xkHeVIaFUxPHmX91wyZ73Tp+/DibmHWA8/7qb9u2bQgNDUXLli21O9kD4C72pMXCqQmqauafh4cHxo0bJ3Q8UWKTff3FxMTg+vXrKCoq0h4LDAwUMJG4/Hve35EjR+Dq6sp5f7X00ksvYffu3bCyshI6Cukp0fQ4/VthYSFPjdTBozP/evbsiQkTJnDmXx2wyV63goODoVAoEBsbC39/fxw/fhzdunUTOpaonD59uty8v2HDhsHPz4+FUy21bt2a472oWqIrnOLj4zFv3jwUFBQgJiYG165dw65du7BgwQKho4kCZ/7pBpvsdSshIQGHDx+Gj48PAgMDMXbsWIwfP17oWKLDeX/15+DggICAAHh5eZX7vR47dqyAqUifiK5wWrZsGTZt2oTJkycDALp06aI9p0+PZ2FhwZl/OvDtt98iMTERUVFR2LJlC5vs68nY2BgAYGJigrS0NFhZWSE9PV3gVOIyceJEDBs2rMK8P6odOzs72NnZQalUQqlUCh2H9JDoCicAaNOmTbnbjzbwUfU480833N3d4e7urn0XWtZkP2vWLDbZ14GXlxdycnIwbtw4DB8+HBKJBK+99prQsUSF8/50o6yvLj8/H0DpFZ5EjxJd4dSmTRvEx8dDIpFAqVQiPDwcTk5OQscSDc78052qmuxHjRoldDTRGT9+PAwNDTF48GAMGDCAu4bXAuf96daff/6Jjz76CNnZ2QAAKysrLF++HB07dhQ4GekL0V1Vl5mZiaVLl+LcuXPQaDR49tlnMXfuXF4BUUOc+acbjzbZl+3lxCb7uhs2bFiFXcIrO0YVcd6fbo0aNQrTpk1Dnz59AACxsbEICQnBrl27BE5G+kI0K06fffYZZs6cidjYWKxcuVLoOKJlampap/uoPDbZ6wZ3Dq+/xYsXAwA2btxY6bw/qp2CggJt0QSUvkkqKCgQMBHpG9EUTmfOnMGMGTOwYcMGvPzyy0LHES3O/NMNNtnrxk8//YT9+/fj/v37WLZsmfa4mZkZPvjgAwGTiQ/n/emGg4MD1q1bB19fXwDAoUOH4ODgIHAq0ieiOVW3fPly7NmzBwUFBTA2NoZGo4FEItH+n/OYaub8+fPV3t+rV68GSiJujzbZu7i4aJvsv/zySzbZ1wF3Dq+7slW7mTNnYuXKleVW7ebPn8/T77WUnZ2NtWvXIi4uDgDg6emJ9957D82aNRM4GekL0RROZSZPnowvv/xS6BjUxAUEBGDu3LnlmuwB4Nq1a1iyZAm2b98uUDJxOXjwIHx9ffHNN99AIpFUuJ975zwe5/0RNSzRnKorw6KJ9EF6enqFogko3VcsIyNDgETiVNbHxB6Suhs2bBiGDRvGVbt6Wrp0KebOnVtlK8P69esbOBHpK9EVTomJiVi8eDFu3rwJpVIJlUoFExMTnqqjBsUme90o27qBM+nqb/DgwZz3Vw9lPU1vv/22wElI34mucFq0aBFCQkIwdepU7Nu3DxEREUhOThY6lmhx5l/dsMletzIzM7F7926kpKSgpKREe/zRhnGqHuf91U/Zac6rV69izJgx5e7bunUr+z9JS3SFEwC0bdsWKpUKMpkMI0aM4CDLOuDMv/oJCwur8j6+Y629KVOmwNPTE3379oVMJhM6jihx3p9uREREVCicDhw4UOEYNV2iK5xMTExQXFyMrl27YsWKFbCxsYFarRY6luhw5l/98N2nbhUWFmLmzJlCxxA1zvurn8jISERGRuLu3bvlVpPz8/N5RR2VI7rCacWKFdBoNAgODsaWLVtw7949rF27VuhYosSZf6QvvLy8cPr0aW7jUA+c91c/7u7uaNWqFR4+fFhu1djMzAydO3cWMBnpG9FtR1BGqVTi+vXrsLW1RYsWLYSOIzrvv/8+3nrrLSxevBi7d+9GeHg4Ll26hJCQEKGjURPk7u6OwsJCGBoaQi6Xc3+2OiguLoahoaH247J5f2XHiEg3RFM4BQcHIyAgAB07dkRubi5ef/11yGQyZGVlISgoCN7e3kJHFBXO/NMtNtmT0DjvTzd45TY9jmhO1cXFxWHRokUAgH379qFdu3YICwtDeno6xo8fz8KphjjzT7fYZK872dnZuHXrVrlL6Xv27ClgInHgvD/d4pXb9DiiKZwMDAy0H//8888YMmQIAKBVq1ZCRRIlzvzTLTbZ68aePXsQHh6O+/fvo0uXLvjtt9/g5uaG8PBwoaPpPc770z1euU3VEU3hZGFhgVOnTsHW1hbx8fFYunQpAKCkpAQKhULgdOLRr18/9OzZEwUFBfDw8ODMPx1gk339hYeHY+/evRg5ciS2bduGpKQk9tvVEHcO1y1euU2PI5rCadGiRViyZAkyMjIwZ84c7UrTuXPn4OXlJWw4EQkKCkJQUBBn/ulImzZtEB8fD4lEAqVSifDwcDg5OQkdS3QMDQ1hZGQEoLSx2cnJCX/99ZfAqcShbN5fSkoKNm/eXOF+zvurncqu3A4NDRU6FukR0RRO7du3x6ZNmyocf+655/Dcc88JkEjcWDTpxoIFC7B06VKkpaXh+eefx7PPPovg4GChY4lO69atkZOTgxdffBFjx46FpaUl7OzshI4lCpz3p1tRUVEYM2YMjIyMtONqtm7dyg0wSUs0V9WRbvHKkfopa7L//vvv2SumY+fPn0dubi6ee+45XkpPDa6yKxH9/PwQEREhTCDSO6JZcSLd4pUj9cMme926ffs2WrduDUNDQ2g0GqSkpEChULBwqgXO+6sf7hxONcXCqQnjlSN1xyZ73Xrvvfewb98+3Lp1C8HBwRg4cCA+/PBDfP3110JHEw3O+6sf7hxONSXawikxMRFr165FcXExxowZgxdffFHoSKLCK0fqh032uiWVSiGXy3Hy5Em8+eabCAgIgJ+fn9CxRIXz/urH3t4e9vb2+O6774SOQnpONNdN/3tY5ebNm7Fu3Tps2LABq1evFiiVeD165YipqSln/tURiybdkMvliIyMREREhPYq2UdPN9Hjlc37o7oZPXo0gNKVJw8PD+1/ZbeJyoimOXzKlClwdnbG+PHjYWRkhI8//hienp6QSqXYuXMndu3aJXREUeLMv/phk71u3LhxA7t27YKbmxu8vb1x584dfP/995gwYYLQ0USD8/6IGoZoCicA+OGHHxAeHg4/Pz8MHjwYkZGRKCwshLe3N6ytrYWOJwqc+adbw4cPr7TJnr1iROKlUqmQkZEBlUqlPcbtMaiMqHqcBg4ciP79+2Pnzp0IDAzEpEmTOMuqljjzT/fYZE/6gvP+6m/btm0IDQ1Fy5Yty00BOHz4sICpSJ+IpnCKjo7Gli1bIJfLMXHiRPj6+iIsLAw7d+7E9OnT4ejoKHREUeDMP91ikz3pC877043w8HAcO3YMVlZWQkchPSWa5vBVq1Zh48aNWLVqFT7//HNYWlpi1qxZmDp1Kmda1ULZzL8rV64gPj5eu+s6Z/7VDZvsdatsF2yqvbJ5f3Z2dti2bRsOHDgAS0tLoWOJTuvWrWFhYSF0DNJjollxsrCwwIkTJ6BQKMo1Mbdr146FUy1w5p9u2dvbAyi9nH7gwIFssq+j+Ph4zJs3DwUFBYiJicG1a9ewa9cuLFiwQOhoosF5f7rh4OCAgIAAeHl5lduAlTP/qIxoCqfQ0FAcOXIEcrkcK1euFDqOaHHmn26wyV63li1bhk2bNmHy5MkAgC5duuDXX38VOJW4cN6fbtjZ2cHOzg5KpRJKpVLoOKSHRFM4WVtbIyAgQOgYRADYZP8ktGnTptztRxtz6fHWrVsHoHQX9t69e2vn/VHtlA32JaqKaAonIn3CJnvdatOmDeLj4yGRSKBUKhEeHg4nJyehY4kK5/3pRmZmJr7++mvcuHGj3NWJbLKnMnxLR1QHbLLXrQULFmDHjh1IS0vD888/j6tXryI4OFjoWKLy3nvvQSqVauf93bt3j9ti1MGMGTPQoUMH3L17F4GBgbC3t0e3bt2EjkV6hCtOTRxn/tUNm+x147PPPsPMmTMRGxvL3sV64rw/3cjKyoK/vz/Cw8PRq1cv9OrVCyNGjBA6FukRFk5NTHp6ernTSWUz/zQaDUaOHMnCqYbYZK8bZ86cwYwZM7Bhwwa8/PLLQscRtUfn/ZXNUOS8v9qTy0v/WbSxsUFMTAxsbGyQnZ0tcCrSJyycmpj58+eXm/lnaWmJY8eOQSqVwszMTOh41MT069cPPXv2REFBATw8PLTz1ThnrfaWLVuGXbt2YdKkSXBwcMCdO3cwdOhQoWOJzuTJk5Gbm4ugoCAsXrwY+fn5mD17ttCxSI+IalYd6QZn/pG+mTx5snaVhIhIn7FwaqJUKhV27tyJmJgYzvwjIvp/K1aswJQpU2BkZIR33nkHf/zxB2bPng1fX1+ho5Ge4FV1TUx0dDQCAgLwzjvvoGPHjggJCUF0dDSmT5+O27dvCx1PtBITEzFu3DgEBAQgKipK6Diik5iYiBEjRsDd3R2urq7o2rUrPDw8hI5FTdDZs2dhbm6OmJgY2Nvb4+TJk5X2M1LTxR6nJmbVqlXYu3cvFAoFxo0bh71792LWrFlITk5GSEgIx9fUEJvsdWvRokUICQnB1KlTsW/fPkRERCA5OVnoWKJUWFgIExMToWOIlkqlAgDExMRgyJAhnFtHFXDFqYkpm/l34sQJzvyrh/nz5yM0NFS7QV5Zk/3JkyfZZF9Hbdu2hUqlgkwmw4gRI/Djjz8KHUlU4uPj8corr2ivTrx27Rpn/dWBl5cXhgwZgsuXL6Nv377IzMzUzgAkAtjj1ORkZmZqZ/75+PjA3Nxc6EiixSZ73fnvf/+LzZs3Y968eWjZsiVsbGywf/9+HDp0SOhoouHv7481a9Zg8uTJiIiIAAB4e3sjMjJS2GAilJWVBQsLC8hkMhQUFCA/P59TAUiLhRNRPbDJXjdSUlLQsmVLKJVKbNmyBbm5uXjjjTfQtm1boaOJhr+/P/bs2QM/Pz9t4TR06FAWn0Q6xh4nojqIjo7Gli1bIJfLMXHiRPj6+iIsLAw7d+7E9OnT4ejoKHREUbG3twdQuvv1wIEDYWtrW+5UMj0e5/0RNQyuOBHVgY+PT4UmewBITk7G6tWr2S9WQ8HBwQgICEDHjh2Rm5uL119/HTKZDFlZWQgKCoK3t7fQEUUjMzMTS5cuxblz56DRaPDss89i7ty5sLKyEjoaUaPCFSeiOihrslcoFGyyr4e4uDgsWrQIALBv3z60a9cOYWFhSE9Px/jx41k41QDn/emWRqPBoUOHcOfOHQQGBiI1NRUZGRno3r270NFIT/CqOqI6CA0NRVZWFkpKSviPVT0YGBhoP/7555+12ziwEbfmzpw5A41Ggw0bNggdpVFYsGABEhMTceTIEQCAmZkZFi5cKHAq0idccSKqA2trawQEBAgdQ/QsLCxw6tQp2NraIj4+HkuXLgVQOpxWoVAInE4cOO9Pty5evIgDBw7Az88PANCsWTMolUphQ5FeYeFERIJZtGgRlixZgoyMDMyZM0e70nTu3Dl4eXkJG04kgoKCEBQUxHl/OiKXy6FSqSCRSACU9o5JpTw5Q/9gczgREdH/O3ToEI4ePYorV65g2LBhOHbsGKZNm6bdWJSIhRMRUSOQmJiIxYsX4+bNm1AqlVCpVDAxMeGpuhq6c+cOHBwcAABJSUn45ZdfoNFo0LdvX27rQOXwVB0RUSPAeX/1M3XqVOzfvx9jxozB1q1bWSxRlVg4ERE1Ev+e9+fn54cPP/xQ6FiioFarsX79eiQnJ2Pz5s0V7h87dqwAqUgfsXAiIr2RmJiItWvXori4GGPGjNFuT0CPZ2JiguLiYnTt2hUrVqyAjY0N1Gq10LFE44svvkBUVBRUKhXy8/OFjkN6jD1ORCSY9PT0cns2TZ06FcuXL4dGo8HIkSNx+PBhAdOJC+f96cbp06fRv39/oWOQHuOKExEJZv78+XB2dsb48eNhZGQES0tLHDt2DFKpFGZmZkLHExXO+9ON/v37IyYmBtevX0dRUZH2eGBgoICpSJ9wcwoiEkxYWBicnZ0xceJEREREYM6cOVAqlcjKykJYWJjQ8UQhODgY169fBwDk5ubC19cXQUFB8PPzQ2RkpMDpxCc4OBhHjx7F9u3bAQDHjx9HamqqwKlIn7BwIiJBDRw4EJs2bUJubi4CAwPRrl07/O9//4O1tbXQ0UQhLi4OHTt2BPDPvL/Dhw9j//792Lhxo8DpxCchIQErVqyApaUlAgMDsWvXLl6dSOWwcCIiwURHRyMgIADvvPMOOnbsiJCQEERHR2P69Om4ffu20PFEgfP+dMvY2BhAabN9WloaDAwMkJ6eLnAq0ifscSIiwaxatQp79+6FQqHAuHHjsHfvXsyaNQvJyckICQlBSEiI0BH1Huf96ZaXlxdycnIwbtw4DB8+HBKJBP7+/kLHIj3Cq+qISDBvvPEGRo8eDYVCgaioKHz11VdCRxKdv/76Szvvb8yYMRg+fDgA4Mcff8TZs2cxa9YsgROKV3FxMYqKimBhYSF0FNIjLJyISDCZmZk4cuQI5HI5fHx8YG5uLnQkaqIuXryINm3aaE9xRkRE4Pjx47C3t0dgYCCaN28ubEDSGyyciIioyRs2bBg2b96M5s2b48KFC5g+fTo+/vhjXL16FTdv3sSaNWuEjkh6gs3hRETU5KlUKu2q0tGjR/H6669j8ODBmDZtGm7duiVsONIrLJyIiKjJU6vVKCkpAQCcO3cOffr00d6nUqmEikV6iFfVERE1Ipz3Vzevvvoq3nzzTVhZWcHY2BhPP/00AODWrVvsvaNy2ONERCRinPenO4mJiUhPT8ezzz4LU1NTAKVXLRYUFMDFxUXgdKQvuOJERCRinPenO25ubhWOtW/fvuGDkF7jihMRkcj98MMPCA8Ph5+fHwYPHozIyEgUFhbC29ubo2uIdIyFExFRI6BSqbBz507ExMRg0qRJ6Nmzp9CRiBolFk5ERCIWHR2NLVu2QC6XY+LEiXB2dkZYWBjS0tIwffp0ODo6Ch2RqFFh4UREJGI+Pj4V5v0BQHJyMlavXs15f0Q6xuZwIiIRs7CwwIkTJ6BQKNCiRQvt8Xbt2rFoInoCuOJERCRinPdH1LBYOBERERHVEEeuEBEREdUQCyciIiKiGmLhRERERFRDLJyIiIiIaoiFExEREVEN/R+YZ1xF8PUOUgAAAABJRU5ErkJggg==\n","text/plain":["<Figure size 792x576 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Create a dataset2\n","df2 = pd.DataFrame(np.random.random((6,6)), columns=[\"% Safe DW all\",\"% Safe DW rural\",\"% Safe DW urban\", \"% Safe sanitation all\", \"% Safe sanitation rural\", \"Safe sanitation urban\"])\n","\n","# Create heatmap from dataset2\n","sns.set(font_scale = 1.3)\n","plt.figure(figsize=(11,8))\n","plt.xticks(fontsize=10)\n","sns.heatmap(df2, annot=True, yticklabels=False).set(title='Preventive measures for malaria in Africa')\n"]},{"cell_type":"markdown","id":"306a9868","metadata":{"papermill":{"duration":0.014956,"end_time":"2023-02-27T07:28:12.142123","exception":false,"start_time":"2023-02-27T07:28:12.127167","status":"completed"},"tags":[]},"source":["From the heatmap above shows that the maximum measurement has been taken in Africa in 2007-2017 includes safe drinking water in urban and safe sanitation in all population."]},{"cell_type":"markdown","id":"7e7f0ccf","metadata":{"papermill":{"duration":0.014566,"end_time":"2023-02-27T07:28:12.171575","exception":false,"start_time":"2023-02-27T07:28:12.157009","status":"completed"},"tags":[]},"source":["## Q3. What is the effect of sanitation in urban population in Africa on malaria cases?"]},{"cell_type":"code","execution_count":17,"id":"379a79e8","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:12.202812Z","iopub.status.busy":"2023-02-27T07:28:12.202029Z","iopub.status.idle":"2023-02-27T07:28:12.578836Z","shell.execute_reply":"2023-02-27T07:28:12.57782Z"},"papermill":{"duration":0.395278,"end_time":"2023-02-27T07:28:12.581579","exception":false,"start_time":"2023-02-27T07:28:12.186301","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["[Text(0.5, 1.0, 'Effect of safe sanitation on malaria cases in urban population in Africa')]"]},"execution_count":17,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 792x576 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.set(font_scale = 1.3)\n","plt.figure(figsize=(11,8))\n","sns.scatterplot(data=df, x=\"% Safe sanitation urban\", y=\"Cases\", size=\"% Urban annual growth\", legend=False, sizes=(20, 2000)).set(title='Effect of safe sanitation on malaria cases in urban population in Africa')"]},{"cell_type":"markdown","id":"5e6adaa2","metadata":{"papermill":{"duration":0.017801,"end_time":"2023-02-27T07:28:12.616653","exception":false,"start_time":"2023-02-27T07:28:12.598852","status":"completed"},"tags":[]},"source":["For this moment this is end of the analysis. Below is additional analysis but still in progress."]},{"cell_type":"markdown","id":"b4ff9b20","metadata":{"papermill":{"duration":0.01571,"end_time":"2023-02-27T07:28:12.648421","exception":false,"start_time":"2023-02-27T07:28:12.632711","status":"completed"},"tags":[]},"source":["From the scatter plot above shows that the higher percentage of safe sanitation measures taken in urban decreased malaria cases."]},{"cell_type":"markdown","id":"f2e24e72","metadata":{"papermill":{"duration":0.015986,"end_time":"2023-02-27T07:28:12.680739","exception":false,"start_time":"2023-02-27T07:28:12.664753","status":"completed"},"tags":[]},"source":["## Q4. (additional question) Malaria map?"]},{"cell_type":"code","execution_count":18,"id":"6c565532","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:12.715321Z","iopub.status.busy":"2023-02-27T07:28:12.714651Z","iopub.status.idle":"2023-02-27T07:28:12.858941Z","shell.execute_reply":"2023-02-27T07:28:12.857972Z"},"papermill":{"duration":0.164652,"end_time":"2023-02-27T07:28:12.861556","exception":false,"start_time":"2023-02-27T07:28:12.696904","status":"completed"},"tags":[]},"outputs":[],"source":["import folium as fol\n","from folium import Choropleth, Circle, Marker\n","from folium.plugins import HeatMap, MarkerCluster"]},{"cell_type":"code","execution_count":19,"id":"f354cf57","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:12.895999Z","iopub.status.busy":"2023-02-27T07:28:12.895608Z","iopub.status.idle":"2023-02-27T07:28:12.914729Z","shell.execute_reply":"2023-02-27T07:28:12.913678Z"},"papermill":{"duration":0.038979,"end_time":"2023-02-27T07:28:12.917059","exception":false,"start_time":"2023-02-27T07:28:12.87808","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n","&lt;head&gt;    \n","    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n","    \n","        &lt;script&gt;\n","            L_NO_TOUCH = false;\n","            L_DISABLE_3D = false;\n","        &lt;/script&gt;\n","    \n","    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n","    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n","    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n","    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n","    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n","    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n","    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n","    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n","    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n","    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n","    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n","    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n","    \n","            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n","                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n","            &lt;style&gt;\n","                #map_01a1b751833967764f9d09de7ca0a77e {\n","                    position: relative;\n","                    width: 100.0%;\n","                    height: 100.0%;\n","                    left: 0.0%;\n","                    top: 0.0%;\n","                }\n","            &lt;/style&gt;\n","        \n","&lt;/head&gt;\n","&lt;body&gt;    \n","    \n","            &lt;div class=&quot;folium-map&quot; id=&quot;map_01a1b751833967764f9d09de7ca0a77e&quot; &gt;&lt;/div&gt;\n","        \n","&lt;/body&gt;\n","&lt;script&gt;    \n","    \n","            var map_01a1b751833967764f9d09de7ca0a77e = L.map(\n","                &quot;map_01a1b751833967764f9d09de7ca0a77e&quot;,\n","                {\n","                    center: [8.7832, -34.5085],\n","                    crs: L.CRS.EPSG3857,\n","                    zoom: 3,\n","                    zoomControl: true,\n","                    preferCanvas: false,\n","                }\n","            );\n","\n","            \n","\n","        \n","    \n","            var tile_layer_53e8bf51813333ad4d1b9f87a7e5a0b1 = L.tileLayer(\n","                &quot;https://cartodb-basemaps-{s}.global.ssl.fastly.net/light_all/{z}/{x}/{y}.png&quot;,\n","                {&quot;attribution&quot;: &quot;\\u0026copy; \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e contributors \\u0026copy; \\u003ca href=\\&quot;http://cartodb.com/attributions\\&quot;\\u003eCartoDB\\u003c/a\\u003e, CartoDB \\u003ca href =\\&quot;http://cartodb.com/attributions\\&quot;\\u003eattributions\\u003c/a\\u003e&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n","            ).addTo(map_01a1b751833967764f9d09de7ca0a77e);\n","        \n","&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"],"text/plain":["<folium.folium.Map at 0x7fe83b932d90>"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["# Create folium map\n","a_map = fol.Map(location=[8.7832, -34.5085], tiles='cartodbpositron', zoom_start=3)\n","a_map"]},{"cell_type":"markdown","id":"2fd0057a","metadata":{"papermill":{"duration":0.016131,"end_time":"2023-02-27T07:28:12.949981","exception":false,"start_time":"2023-02-27T07:28:12.93385","status":"completed"},"tags":[]},"source":["Also remember that df has format as panel data, so it should be aggregated!"]},{"cell_type":"code","execution_count":20,"id":"0206c166","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:12.987058Z","iopub.status.busy":"2023-02-27T07:28:12.984748Z","iopub.status.idle":"2023-02-27T07:28:13.015391Z","shell.execute_reply":"2023-02-27T07:28:13.014338Z"},"papermill":{"duration":0.051279,"end_time":"2023-02-27T07:28:13.017867","exception":false,"start_time":"2023-02-27T07:28:12.966588","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>Year</th>\n","      <th>Incidence rates</th>\n","      <th>Cases</th>\n","      <th>% Use ITNs</th>\n","      <th>% Child fever</th>\n","      <th>% IPT</th>\n","      <th>% Safe DW all</th>\n","      <th>% Safe DW rural</th>\n","      <th>% Safe DW urban</th>\n","      <th>% Safe sanitation all</th>\n","      <th>...</th>\n","      <th>% Urban pop</th>\n","      <th>% Urban annual growth</th>\n","      <th>% Basic DW all</th>\n","      <th>% Basic DW rural</th>\n","      <th>% Basic DW urban</th>\n","      <th>% Basic sanitation all</th>\n","      <th>% Basic sanitation rural</th>\n","      <th>People using at least basic sanitation services, urban  (% of urban population)</th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","    </tr>\n","    <tr>\n","      <th>Country Name</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Algeria</th>\n","      <td>2012.0</td>\n","      <td>0.003636</td>\n","      <td>8.545455e+00</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.000000</td>\n","      <td>17.946364</td>\n","      <td>...</td>\n","      <td>68.830909</td>\n","      <td>2.878182</td>\n","      <td>92.771818</td>\n","      <td>87.520000</td>\n","      <td>95.170000</td>\n","      <td>86.882727</td>\n","      <td>80.051818</td>\n","      <td>90.040909</td>\n","      <td>28.033886</td>\n","      <td>1.659626</td>\n","    </tr>\n","    <tr>\n","      <th>Angola</th>\n","      <td>2012.0</td>\n","      <td>207.811818</td>\n","      <td>2.184926e+06</td>\n","      <td>5.963636</td>\n","      <td>6.927273</td>\n","      <td>4.445455</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>...</td>\n","      <td>61.234545</td>\n","      <td>4.770909</td>\n","      <td>51.942727</td>\n","      <td>25.610909</td>\n","      <td>68.591818</td>\n","      <td>43.582727</td>\n","      <td>18.614545</td>\n","      <td>59.381818</td>\n","      <td>-11.202692</td>\n","      <td>17.873887</td>\n","    </tr>\n","    <tr>\n","      <th>Benin</th>\n","      <td>2012.0</td>\n","      <td>410.406364</td>\n","      <td>7.799745e+05</td>\n","      <td>12.945455</td>\n","      <td>5.845455</td>\n","      <td>2.045455</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>...</td>\n","      <td>44.140909</td>\n","      <td>3.982727</td>\n","      <td>65.212727</td>\n","      <td>56.749091</td>\n","      <td>75.972727</td>\n","      <td>14.397273</td>\n","      <td>6.199091</td>\n","      <td>24.762727</td>\n","      <td>9.307690</td>\n","      <td>2.315834</td>\n","    </tr>\n","    <tr>\n","      <th>Botswana</th>\n","      <td>2012.0</td>\n","      <td>1.158182</td>\n","      <td>7.960000e+02</td>\n","      <td>2.809091</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>83.588182</td>\n","      <td>0.000000</td>\n","      <td>...</td>\n","      <td>64.099091</td>\n","      <td>3.458182</td>\n","      <td>85.076364</td>\n","      <td>66.516364</td>\n","      <td>95.720909</td>\n","      <td>69.869091</td>\n","      <td>45.398182</td>\n","      <td>83.550000</td>\n","      <td>-22.328474</td>\n","      <td>24.684866</td>\n","    </tr>\n","    <tr>\n","      <th>Burkina Faso</th>\n","      <td>2012.0</td>\n","      <td>484.809091</td>\n","      <td>3.781997e+06</td>\n","      <td>11.154545</td>\n","      <td>7.663636</td>\n","      <td>2.509091</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>...</td>\n","      <td>25.808182</td>\n","      <td>5.271818</td>\n","      <td>49.984545</td>\n","      <td>40.131818</td>\n","      <td>78.000909</td>\n","      <td>17.672727</td>\n","      <td>8.955455</td>\n","      <td>43.001818</td>\n","      <td>12.238333</td>\n","      <td>-1.561593</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5 rows × 24 columns</p>\n","</div>"],"text/plain":["                Year  Incidence rates         Cases  % Use ITNs  \\\n","Country Name                                                      \n","Algeria       2012.0         0.003636  8.545455e+00    0.000000   \n","Angola        2012.0       207.811818  2.184926e+06    5.963636   \n","Benin         2012.0       410.406364  7.799745e+05   12.945455   \n","Botswana      2012.0         1.158182  7.960000e+02    2.809091   \n","Burkina Faso  2012.0       484.809091  3.781997e+06   11.154545   \n","\n","              % Child fever     % IPT  % Safe DW all  % Safe DW rural  \\\n","Country Name                                                            \n","Algeria            0.000000  0.000000            0.0              0.0   \n","Angola             6.927273  4.445455            0.0              0.0   \n","Benin              5.845455  2.045455            0.0              0.0   \n","Botswana           0.000000  0.000000            0.0              0.0   \n","Burkina Faso       7.663636  2.509091            0.0              0.0   \n","\n","              % Safe DW urban  % Safe sanitation all  ...  % Urban pop  \\\n","Country Name                                          ...                \n","Algeria              0.000000              17.946364  ...    68.830909   \n","Angola               0.000000               0.000000  ...    61.234545   \n","Benin                0.000000               0.000000  ...    44.140909   \n","Botswana            83.588182               0.000000  ...    64.099091   \n","Burkina Faso         0.000000               0.000000  ...    25.808182   \n","\n","              % Urban annual growth  % Basic DW all  % Basic DW rural  \\\n","Country Name                                                            \n","Algeria                    2.878182       92.771818         87.520000   \n","Angola                     4.770909       51.942727         25.610909   \n","Benin                      3.982727       65.212727         56.749091   \n","Botswana                   3.458182       85.076364         66.516364   \n","Burkina Faso               5.271818       49.984545         40.131818   \n","\n","              % Basic DW urban  % Basic sanitation all  \\\n","Country Name                                             \n","Algeria              95.170000               86.882727   \n","Angola               68.591818               43.582727   \n","Benin                75.972727               14.397273   \n","Botswana             95.720909               69.869091   \n","Burkina Faso         78.000909               17.672727   \n","\n","              % Basic sanitation rural  \\\n","Country Name                             \n","Algeria                      80.051818   \n","Angola                       18.614545   \n","Benin                         6.199091   \n","Botswana                     45.398182   \n","Burkina Faso                  8.955455   \n","\n","              People using at least basic sanitation services, urban  (% of urban population)  \\\n","Country Name                                                                                    \n","Algeria                                               90.040909                                 \n","Angola                                                59.381818                                 \n","Benin                                                 24.762727                                 \n","Botswana                                              83.550000                                 \n","Burkina Faso                                          43.001818                                 \n","\n","               latitude  longitude  \n","Country Name                        \n","Algeria       28.033886   1.659626  \n","Angola       -11.202692  17.873887  \n","Benin          9.307690   2.315834  \n","Botswana     -22.328474  24.684866  \n","Burkina Faso  12.238333  -1.561593  \n","\n","[5 rows x 24 columns]"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["# Aggregate df by Country Code and data values input as average\n","df_agg=df.groupby('Country Name').mean()\n","df_agg.head()"]},{"cell_type":"markdown","id":"70dade47","metadata":{"papermill":{"duration":0.01657,"end_time":"2023-02-27T07:28:13.051824","exception":false,"start_time":"2023-02-27T07:28:13.035254","status":"completed"},"tags":[]},"source":["Join attribute by merge df_agg to world"]},{"cell_type":"markdown","id":"bb355f0c","metadata":{"papermill":{"duration":0.017031,"end_time":"2023-02-27T07:28:13.085723","exception":false,"start_time":"2023-02-27T07:28:13.068692","status":"completed"},"tags":[]},"source":["#### Plot the base world map and data"]},{"cell_type":"code","execution_count":21,"id":"2fff3819","metadata":{"execution":{"iopub.execute_input":"2023-02-27T07:28:13.122034Z","iopub.status.busy":"2023-02-27T07:28:13.121327Z","iopub.status.idle":"2023-02-27T07:28:14.115911Z","shell.execute_reply":"2023-02-27T07:28:14.114694Z"},"papermill":{"duration":1.016048,"end_time":"2023-02-27T07:28:14.118938","exception":false,"start_time":"2023-02-27T07:28:13.10289","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["/opt/conda/lib/python3.7/site-packages/geopandas/_compat.py:115: UserWarning: The Shapely GEOS version (3.9.1-CAPI-1.14.2) is incompatible with the GEOS version PyGEOS was compiled with (3.10.3-CAPI-1.16.1). Conversions between both will be slow.\n","  shapely_geos_version, geos_capi_version_string\n"]},{"data":{"image/png":"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\n","text/plain":["<Figure size 576x576 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["import matplotlib.pyplot as plt\n","import geopandas as gpd\n","from descartes import PolygonPatch\n","\n","world = gpd.read_file(gpd.datasets.get_path('naturalearth_lowres'))\n","\n","# or plot Africa continent\n","ax2 = world[world.continent == 'Africa'].plot(figsize=(8,8), edgecolor=u'gray', cmap='Pastel1')\n","\n","# the place to plot additional vector data (points, lines)\n","# to be continued...................\n","\n","plt.ylabel('Latitude')\n","plt.xlabel('Longitude')\n","\n","#ax2.axis('scaled')\n","plt.show()"]},{"cell_type":"markdown","id":"02667f58","metadata":{"papermill":{"duration":0.017768,"end_time":"2023-02-27T07:28:14.155667","exception":false,"start_time":"2023-02-27T07:28:14.137899","status":"completed"},"tags":[]},"source":["Map still incomplete... will update later."]}],"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":"3.7.12"},"papermill":{"default_parameters":{},"duration":16.277897,"end_time":"2023-02-27T07:28:14.89495","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2023-02-27T07:27:58.617053","version":"2.3.4"}},"nbformat":4,"nbformat_minor":5}