Maternal Health and Risk Data Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "15c4518f",
   "metadata": {},
   "source": [
    "#                        Maternal Health and Risk Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ffa1cc79",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Importing necessary libraries\n",
    "import pandas as pd\n",
    "from sklearn.linear_model import LinearRegression\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.cluster import KMeans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "adaa8d15",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>SystolicBP</th>\n",
       "      <th>DiastolicBP</th>\n",
       "      <th>BS</th>\n",
       "      <th>BodyTemp</th>\n",
       "      <th>HeartRate</th>\n",
       "      <th>RiskLevel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>25</td>\n",
       "      <td>130</td>\n",
       "      <td>80</td>\n",
       "      <td>15.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>86</td>\n",
       "      <td>high risk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>35</td>\n",
       "      <td>140</td>\n",
       "      <td>90</td>\n",
       "      <td>13.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>70</td>\n",
       "      <td>high risk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>29</td>\n",
       "      <td>90</td>\n",
       "      <td>70</td>\n",
       "      <td>8.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>80</td>\n",
       "      <td>high risk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>30</td>\n",
       "      <td>140</td>\n",
       "      <td>85</td>\n",
       "      <td>7.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>70</td>\n",
       "      <td>high risk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>35</td>\n",
       "      <td>120</td>\n",
       "      <td>60</td>\n",
       "      <td>6.1</td>\n",
       "      <td>98.0</td>\n",
       "      <td>76</td>\n",
       "      <td>low risk</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1009</th>\n",
       "      <td>22</td>\n",
       "      <td>120</td>\n",
       "      <td>60</td>\n",
       "      <td>15.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>80</td>\n",
       "      <td>high risk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1010</th>\n",
       "      <td>55</td>\n",
       "      <td>120</td>\n",
       "      <td>90</td>\n",
       "      <td>18.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>60</td>\n",
       "      <td>high risk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1011</th>\n",
       "      <td>35</td>\n",
       "      <td>85</td>\n",
       "      <td>60</td>\n",
       "      <td>19.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>86</td>\n",
       "      <td>high risk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1012</th>\n",
       "      <td>43</td>\n",
       "      <td>120</td>\n",
       "      <td>90</td>\n",
       "      <td>18.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>70</td>\n",
       "      <td>high risk</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1013</th>\n",
       "      <td>32</td>\n",
       "      <td>120</td>\n",
       "      <td>65</td>\n",
       "      <td>6.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>76</td>\n",
       "      <td>mid risk</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1014 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Age  SystolicBP  DiastolicBP    BS  BodyTemp  HeartRate  RiskLevel\n",
       "0      25         130           80  15.0      98.0         86  high risk\n",
       "1      35         140           90  13.0      98.0         70  high risk\n",
       "2      29          90           70   8.0     100.0         80  high risk\n",
       "3      30         140           85   7.0      98.0         70  high risk\n",
       "4      35         120           60   6.1      98.0         76   low risk\n",
       "...   ...         ...          ...   ...       ...        ...        ...\n",
       "1009   22         120           60  15.0      98.0         80  high risk\n",
       "1010   55         120           90  18.0      98.0         60  high risk\n",
       "1011   35          85           60  19.0      98.0         86  high risk\n",
       "1012   43         120           90  18.0      98.0         70  high risk\n",
       "1013   32         120           65   6.0     101.0         76   mid risk\n",
       "\n",
       "[1014 rows x 7 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('mhs.csv') #Importing dataset\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c4b5e3d",
   "metadata": {},
   "source": [
    "## Data Assessment and Cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "593079c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Duplicate Rows:\n",
      "      Age  SystolicBP  DiastolicBP    BS  BodyTemp  HeartRate  RiskLevel\n",
      "67     19         120           80   7.0      98.0         70   mid risk\n",
      "72     19         120           80   7.0      98.0         70   mid risk\n",
      "97     19         120           80   7.0      98.0         70   mid risk\n",
      "106    50         140           90  15.0      98.0         90  high risk\n",
      "107    25         140          100   6.8      98.0         80  high risk\n",
      "...   ...         ...          ...   ...       ...        ...        ...\n",
      "1009   22         120           60  15.0      98.0         80  high risk\n",
      "1010   55         120           90  18.0      98.0         60  high risk\n",
      "1011   35          85           60  19.0      98.0         86  high risk\n",
      "1012   43         120           90  18.0      98.0         70  high risk\n",
      "1013   32         120           65   6.0     101.0         76   mid risk\n",
      "\n",
      "[562 rows x 7 columns]\n"
     ]
    }
   ],
   "source": [
    "# Checking for duplicates\n",
    "duplicated_data = data.duplicated()\n",
    "duplicates = data[duplicated_data]\n",
    "print(\"Duplicate Rows:\")\n",
    "print(duplicates)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fd212127",
   "metadata": {},
   "outputs": [],
   "source": [
    "#The quantity of the duplicate is quite high\n",
    "#The duplicates will be considered as coincidence rather than an error/accidental duplicates. Hence, none will be dropped."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1df4f214",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1014 entries, 0 to 1013\n",
      "Data columns (total 7 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   Age          1014 non-null   int64  \n",
      " 1   SystolicBP   1014 non-null   int64  \n",
      " 2   DiastolicBP  1014 non-null   int64  \n",
      " 3   BS           1014 non-null   float64\n",
      " 4   BodyTemp     1014 non-null   float64\n",
      " 5   HeartRate    1014 non-null   int64  \n",
      " 6   RiskLevel    1014 non-null   object \n",
      "dtypes: float64(2), int64(4), object(1)\n",
      "memory usage: 55.6+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cde86cfd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Age            0\n",
       "SystolicBP     0\n",
       "DiastolicBP    0\n",
       "BS             0\n",
       "BodyTemp       0\n",
       "HeartRate      0\n",
       "RiskLevel      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum() #Null values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "76ea1739",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
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       "      <th>Age</th>\n",
       "      <td>1014.0</td>\n",
       "      <td>29.871795</td>\n",
       "      <td>13.474386</td>\n",
       "      <td>10.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SystolicBP</th>\n",
       "      <td>1014.0</td>\n",
       "      <td>113.198225</td>\n",
       "      <td>18.403913</td>\n",
       "      <td>70.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>160.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DiastolicBP</th>\n",
       "      <td>1014.0</td>\n",
       "      <td>76.460552</td>\n",
       "      <td>13.885796</td>\n",
       "      <td>49.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BS</th>\n",
       "      <td>1014.0</td>\n",
       "      <td>8.725986</td>\n",
       "      <td>3.293532</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.9</td>\n",
       "      <td>7.5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BodyTemp</th>\n",
       "      <td>1014.0</td>\n",
       "      <td>98.665089</td>\n",
       "      <td>1.371384</td>\n",
       "      <td>98.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>103.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HeartRate</th>\n",
       "      <td>1014.0</td>\n",
       "      <td>74.301775</td>\n",
       "      <td>8.088702</td>\n",
       "      <td>7.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              count        mean        std   min    25%    50%    75%    max\n",
       "Age          1014.0   29.871795  13.474386  10.0   19.0   26.0   39.0   70.0\n",
       "SystolicBP   1014.0  113.198225  18.403913  70.0  100.0  120.0  120.0  160.0\n",
       "DiastolicBP  1014.0   76.460552  13.885796  49.0   65.0   80.0   90.0  100.0\n",
       "BS           1014.0    8.725986   3.293532   6.0    6.9    7.5    8.0   19.0\n",
       "BodyTemp     1014.0   98.665089   1.371384  98.0   98.0   98.0   98.0  103.0\n",
       "HeartRate    1014.0   74.301775   8.088702   7.0   70.0   76.0   80.0   90.0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe().T #Description of dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "321cc28f",
   "metadata": {},
   "source": [
    "## Evaluating Relationships between variables in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "aac01b5b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Temp\\ipykernel_11412\\2731909522.py:1: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  data.corr() #Checking correlation between variables in the dataset\n"
     ]
    },
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>SystolicBP</th>\n",
       "      <th>DiastolicBP</th>\n",
       "      <th>BS</th>\n",
       "      <th>BodyTemp</th>\n",
       "      <th>HeartRate</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.416045</td>\n",
       "      <td>0.398026</td>\n",
       "      <td>0.473284</td>\n",
       "      <td>-0.255323</td>\n",
       "      <td>0.079798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SystolicBP</th>\n",
       "      <td>0.416045</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.787006</td>\n",
       "      <td>0.425172</td>\n",
       "      <td>-0.286616</td>\n",
       "      <td>-0.023108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DiastolicBP</th>\n",
       "      <td>0.398026</td>\n",
       "      <td>0.787006</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.423824</td>\n",
       "      <td>-0.257538</td>\n",
       "      <td>-0.046151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BS</th>\n",
       "      <td>0.473284</td>\n",
       "      <td>0.425172</td>\n",
       "      <td>0.423824</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.103493</td>\n",
       "      <td>0.142867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BodyTemp</th>\n",
       "      <td>-0.255323</td>\n",
       "      <td>-0.286616</td>\n",
       "      <td>-0.257538</td>\n",
       "      <td>-0.103493</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.098771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HeartRate</th>\n",
       "      <td>0.079798</td>\n",
       "      <td>-0.023108</td>\n",
       "      <td>-0.046151</td>\n",
       "      <td>0.142867</td>\n",
       "      <td>0.098771</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Age  SystolicBP  DiastolicBP        BS  BodyTemp  HeartRate\n",
       "Age          1.000000    0.416045     0.398026  0.473284 -0.255323   0.079798\n",
       "SystolicBP   0.416045    1.000000     0.787006  0.425172 -0.286616  -0.023108\n",
       "DiastolicBP  0.398026    0.787006     1.000000  0.423824 -0.257538  -0.046151\n",
       "BS           0.473284    0.425172     0.423824  1.000000 -0.103493   0.142867\n",
       "BodyTemp    -0.255323   -0.286616    -0.257538 -0.103493  1.000000   0.098771\n",
       "HeartRate    0.079798   -0.023108    -0.046151  0.142867  0.098771   1.000000"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.corr() #Checking correlation between variables in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6e5f9980",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Temp\\ipykernel_11412\\334540748.py:2: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  corr = data.corr()\n"
     ]
    },
    {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Creating the correlation matrix\n",
    "corr = data.corr()\n",
    "\n",
    "# Creating the heatmap using the Seaborn library\n",
    "sns.heatmap(corr, cmap='coolwarm', annot=True)\n",
    "\n",
    "# Displaying the heatmap\n",
    "plt.title(\"Heatmap of Correlation between DataFrames\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "21dc6964",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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5hg0FaQQMO0RElNeiioqBUCLssKEgjYBhh4iI8tpgMIaYogEAaoq4jEXDMewQEVFe60j02HGYDXCYjFkeDeWinA87fr8fN998MxobG2G1WrF48WK89957qet1Xcedd96J6upqWK1WLFu2DDt27MjiiImIaCp1eMIA4g0FjYacf1ujLMj5n4rrrrsOL7/8Mn7/+99j8+bN+Id/+AcsW7YM+/btAwDcf//9WLVqFR5++GFs2LABdrsdZ511FiKRSJZHTkREUyF5VES8oSC3ndNwOR12wuEw/vjHP+L+++/H5z73OcyaNQs/+tGPMGvWLDz00EPQdR0PPPAAfvjDH+LCCy/E0UcfjccffxwdHR1YvXp1todPRERToNMbn9kps5vYUJBGlNM/FYqiQFVVWCxDC86sVivWrVuHlpYWdHV1YdmyZanr3G43Fi5ciPXr14/6uNFoFD6fb8gHERHlp+5EQ8EKlxmCwJkdGi6nw47T6cSiRYvwk5/8BB0dHVBVFU888QTWr1+Pzs5OdHV1AQAqKyuH3K+ysjJ13UjuvfdeuN3u1Ed9fX1Gvw4iIsoMTdPR649vO69yc9s5jSynww4A/P73v4eu66itrYXZbMaqVatwxRVXQBQnPvQ77rgDXq839dHe3p7GERMR0VSJqRoGEt2T69hjh0aR82GnubkZa9euRSAQQHt7O959913IsoyZM2eiqqoKANDd3T3kPt3d3anrRmI2m+FyuYZ8EBFR/lE0PRV2qnhUBI0i58NOkt1uR3V1NQYHB/HSSy/hwgsvRFNTE6qqqrBmzZrU7Xw+HzZs2IBFixZlcbRERDQVPMEYwrIKgOdi0egM2R7A4bz00kvQdR1z5szBzp07cdttt2Hu3Ln4yle+AkEQcPPNN+Puu+/G7Nmz0dTUhJUrV6KmpgYXXXRRtodOREQZ1pHYiWU1Sii2mbI8GspVOR92vF4v7rjjDuzduxclJSW45JJLcM8998BojHfJvP322xEMBnHDDTfA4/Fg6dKlePHFF4ft4CIiosLT6U322DHByG3nNApB13U924PINp/PB7fbDa/Xy/odIqI88vDanfjpC9uwoNaNP359MUzsoDytjPX9mz8VRESUt5Ldk8scJnZPplEx7BARUd7qSixjVTgtbChIo2LYISKivKTrOnoCUQBAdRHrNGl0DDtERJSXFE1HfyDeY6e2iA0FaXQMO0RElJfkA7onc2aHDoVhh4iI8pI/oiAQVQAANTwXiw6BYYeIiPJSpyfeUNBkEFHChoJ0CAw7RESUlzqSDQVtJpiMfDuj0fGng4iI8lJyZofdk+lw+NNBRER5KXlURJnDBIPIHjs0OoYdIiLKS12+RENBFxsK0qEx7BARUV7qSYSdGje3ndOhMewQEVHeUTUdfYmGgjVsKEiHwbBDRER5R1Y19CcaClZxZocOg2GHiIjyTjimwheWAfCoCDo8hh0iIso7HZ4wdAAGUUC505zt4VCOY9ghIqK80+GN99gptptgNkhZHg3lOoYdIiLKO6nuyXYTjBK3ndOhMewQEVHe6U42FLSbYGD3ZDoM/oQQEVHeSXZPrnBxJxYdHsMOERHlnW42FKRxYNghIqK8ous6egNRAEA1t53TGDDsEBFRXpFVHQOJ7snVnNmhMWDYISKivBJVVAyG4mGHDQVpLBh2iIimGV3XsWWfF96QnO2hTEiXLwJNB0QBqOTMDo2BIdsDICKiqaHrOl7f3otVa3bggzYPTplZgv+5YVG2hzVu+wbjDQWLbCZYjWwoSIfHsENEVOB0Xcdr23rwH2t24qN2T+ry7d2B7A1qEpLbzkvtJhhENhSkw2PYISIqULqu45WtPVi1Zgc27/MCACxGERcfX4enNrRhIBhDTNFgMuRXRUNXsqGgw8yGgjQmDDtERAVG13X8/dNurFqzA590+AAAVqOEqxY14vrPzUSJzYSn32uHounoC0RRk2dFvp2Jc7EqXKYsj4TyBcMOEVGB0DQdL33ShVWv7sTWznjIsZskXLV4Bq5b2oRSx/7TwSucZnR4I+j2RfIu7CQbCla58mvclD0MO0REeU7TdLywpQsPvroDn3X5AQAOswErFjfi2qUzUWIfPgNS7rKgwxtBjz861cOdtOSY2WOHxophh4goT6majuc3d+LBNTuwoydebOw0G3D1khm4dmkTimyjL/NUOuOzPPkWdlRNR3+ioWC+zUhR9jDsEBHlGVXT8bePO/DgqzuxMxlyLAZcs6QJ1yxpgttmPOxjVLgSYSexJJQvYoqKgSDDDo0Pww4RUZ5QVA1/TYSc3b1BAIDLYsC1S2fi6iUz4LYePuQkVTjjS0A9vvya2enxR6FoOgTwEFAaO4YdIqIcp6ga/vxhB3752k609MVDTpHNiOuWNmHF4hlwWsYecpIqEzM73f78mtnpSDQUdFmNsJn5FkZjw58UIqIcJasanvtgH3712k609ocAAMU2I647dSZWLJ4BxyTe7PN1Zqcjse281G6CkT12aIwYdoiIcoysavjTpr345Ws70T4Qf3MvsZtww+dm4spTGmFPw4xGqmYnzwqUO1MNBU2Q2D2Zxohhh4goR8QUDc9u3ItfvbYT+zzxkFPmiIecfzqlETZT+l6ykzM7/cEoFFXLm07EXYmC6goX63Vo7Bh2iIiyLKqoeOb9vXjo9V2pkFPuNOOrn5uJ5QsbYTWl/7DLUnt8ZkTVdPQFYqjKk2Lf5MwOe+zQeDDsEBFlSURW8fT77Xjo9V2pN/EKpxlfO60Z/7iwAZYMnugtigLKHWZ0+eJdlPMl7CRrjPJlvJQbGHaIiKZYRFbxP++24aG1u9CdePOudJnx9dOacfnJmQ05B6pwxcNOvtTt6Hr8LC8AqHGzxw6NHcMOEdEUicgqntzQhv9au2vIkQffOL0Zl55YP2UhJylet+NFT55sP48pGhsK0oQw7BARTVIopsBikCCOsjsoHFPx5IZWPLx2d2pmorbIiq+f3oxLT6yD2TC1IScpuSOrO0+2nw+GYogqGgCgpojLWDR2DDtERJOgajp2dgdQX2JD8UEHboZiCp54pxW/fmM3+hLnOdUVW/HNM2bhkuPrYDJkdwdUZWJHVm+ezOzsTTQUdJgNE2qkSNMXww4R0SSEZRVhRYV+wGXBqILH17fiN2/uTi271JdYceMZs3Dx8XU50wwv32Z2DmwoaMqR7yHlB4YdIqJJCMdUROX40kogquCxt/fgt2/uxmBIBgA0ltpw4xmzcNFxtTkTcpIqUief58fMTqcn0VDQaRp1yZBoJAw7RESTEI6p8IRi+O2bu/HUu23wJEJOU5kdN54xCxceW5OzDfsqXfl1ZERXans+63VofBh2iIgmYWevHz9cvQW+iAIAmFlux01nzsZ5R1fnbMhJSs7s9AWiUDU9549fSHZPZkNBGi+GHSKiCVJUDa9u7YEvoqDKZcEdX5yL846uyfnQkFTqMEMUAE0H+gPRnD+CIRl2qthjh8Ypt//sICLKYWFZxa7eAADgS8fV4sJja/Mm6ACAJAooc+RPkXJfqjeROcsjoXzDsENENEHhmIrW/hAAYE6VM8ujmZj9p5/ndpGyqunoT+xsq2VDQRonhh0iogkaCEbRmVhamZunYSfZayfXj4wYDMUQiqkAgNpiW5ZHQ/mGYYeIaII+3uuDrgNOiwHlzvxcWtnfaye3Z3b2JRoKWo0SimxsKEjjw7BDRDQBsqpha5cPANBQYoNBzM+X04o8mdlJNhQsYUNBmgD+xBARTUBYVrE7UZzcVGaHxZSfL6epmp0cL1BONhQsd5ogCPlTBE65Iad/O1VVxcqVK9HU1ASr1Yrm5mb85Cc/ga7vb8yu6zruvPNOVFdXw2q1YtmyZdixY0cWR01E00E4pmJPojj5iEpn1g7znKz9Mzu5vYyV3HbOhoI0ETkddu677z489NBD+OUvf4mtW7fivvvuw/33348HH3wwdZv7778fq1atwsMPP4wNGzbAbrfjrLPOQiSS27+4RJTffKFYqo7k6Dp3lkczcZUHzOwc+IdkrulKLGOxoSBNRE43FXz77bdx4YUX4txzzwUAzJgxA3/4wx/w7rvvAojP6jzwwAP44Q9/iAsvvBAA8Pjjj6OyshKrV6/G5ZdfnrWxE1Fh+6TTB0XTYTGKaK5wZHs4E5acKekNRLGty48ypznVeyeXdCWW2aoYdmgCcnpmZ/HixVizZg22b98OAPjoo4+wbt06nHPOOQCAlpYWdHV1YdmyZan7uN1uLFy4EOvXrx/1caPRKHw+35APIqKxiikatnb6AQD1xTbYTTn9d+MhlTlMEIR4H5tuXwSBiJztIY2o1588KoI9dmj8cvo39Hvf+x58Ph/mzp0LSZKgqiruueceLF++HADQ1dUFAKisrBxyv8rKytR1I7n33ntx1113ZW7gRFTQDuyc3FRmh8WY0383HpJBElFqN6MvEEV/MIYimynbQxpG13X0BZINBTmzQ+M37t9QXdexY8cOfPLJJ1AUJRNjSnn66afx5JNP4qmnnsKmTZvw2GOP4d///d/x2GOPTepx77jjDni93tRHe3t7mkZMRNPBgZ2TmyscsORpcXJS8kDQgWAMwagCVcut2p1ARIE/cdBqDbsn0wSMK+y0tLTg6KOPxty5c3H00UejubkZ77//fqbGhttuuw3f+973cPnll2PBggW48sorccstt+Dee+8FAFRVVQEAuru7h9yvu7s7dd1IzGYzXC7XkA8iorHyR2TsHYyHnaNqXBDz6DyskSSLlAeDMqKKirCsZnlEQ+31xIuTTZKYk/VElPvGFXZuu+02KIqCJ554As8++yzq6urw1a9+NVNjQygUgnhQoy5JkqBpGgCgqakJVVVVWLNmTep6n8+HDRs2YNGiRRkbFxFNb591+RCWNRhEAUdW5/8fS8ki5YFQDFFFRyTHwk7H4AENBQ35u2RI2TOump1169bh2WefxdKlSwEAp5xyCurq6hAMBmG329M+uPPPPx/33HMPGhoaMH/+fHzwwQf4+c9/jmuuuQYAIAgCbr75Ztx9992YPXs2mpqasHLlStTU1OCiiy5K+3iIiKKKim3d8Xqd2iIrHJb8P7pg/8xOLD6zE8uxsJPYdl7uNLOhIE3IuMJOT08PZs+enfo82civp6cHTU1NaR/cgw8+iJUrV+Ib3/gGenp6UFNTg69+9au48847U7e5/fbbEQwGccMNN8Dj8WDp0qV48cUXYbGwiI2I0i8cU7G7Jx52GstseV2cnFTuir9eDoZi0DTAH82tHVmd3kRDQReXsGhixhV2BEFAIBCA1bq/QEwURfj9/iHbt9NVA+N0OvHAAw/ggQceOOSYfvzjH+PHP/5xWv5NIqJDCcsq9gwkipPLHbAa87s4GRhaoCyJgC+sQNf1nJlFSR5SWu3iH7E0MeMKO7qu44gjjhh22XHHHZf6f0EQoKq5NQVKRJQu/rCM9kTYmVflgqEADqWsPGBmx2yQEJVVRGQNVlNuBLnkURFsKEgTNa6w89prr2VqHEREOU/XdbT0h+CPKBAEYEFt/hcnA/tndgZDMgySgFiiSDlXwk5Pqnsyt53TxIwr7Jx22mmZGgcRTUMRWYUlj5aBooqGzzrjS/bVLgtKCmQbdHki7KiajmBUgdkoISyrKM7yuJL6AvGwU8ceOzRBk55/1XUdr776Kp5//nkMDg6mY0xEVOA0TcfewRA+2uuBN5xbxbCHEo6p2N0bBAA0lNryvplgklESUWqPd072hmSIEBCMZrZp7FiFYwo8ofjPSG0xl7FoYsYVdjweD1asWIEFCxbg+uuvh8/nw6mnnoply5bh/PPPx7x58/Dxxx9naqxEVADiW7d9+LTDh/5AFP4cPYtpJGFZRWuiXmdmmR0WU/7X6ySVH7CUZTaIORNCO70R6AAMopDqB0Q0XuP6Tf3Od76D9evX4/LLL8fmzZtx9tlnQ1VVrF+/Hhs2bMC8efPwgx/8IFNjJaI85w3L2LLPi9b+EErsJpgNEgZDsWwPa8wCESVVnHxEpRPmApnZAfYXKXvDMZiNIsKyiqiS/c0mexMNBYvZUJAmYVw1Oy+88AKeeuopnHbaabj66qtRX1+PV199FQsXLgQA3HfffbjgggsyMlAiyl+6rqPLF8GO7gBiioYqlxWSKMBm0uENK4gpWs6/kel6fOmtPxgPZ8fUFWV3QGl2YJGySRLhjyqIyFrWA11H4qiIcgcbCtLEjevVpbu7O7X1vLa2FhaLBfX19anrGxoa0Nvbm94RElFek1UNO3sC2LLPBwHxGQQpcZaU1SghHFVzpj7kUCKyhm3dfgBAmcOEygLbBr1/ZkeGQRKhaVpOHBvBhoKUDuOa2dE0DZK0P+VLkjQkaTN1E9GB/BEZu3oC6PJFUWIzDdvKLIkCVF1HIKqgOFEgm6vCsopdic7JDSW2vNpFNhbJMOFJ1OroEBDKgRDalTgqoooNBWkSxhV2AOC3v/0tHA4HAEBRFDz66KMoKysDAPj9/vSOjojyVo8vgh09AQSiCqoOmM05mMUgYiAYQ32JbYpHOD5hWUVbol6nqcxeEJ2TD5RcxvIkaqjMkghfJAfCTqLHTnWBzaTR1BpX2GloaMBvfvOb1OdVVVX4/e9/P+w2RDR9KaqG1v4QWvqCMEoiql2WQ876Wk0SfBE553vu+MIy2hPFsrMqHDDneI3ReNUWxcNmly8CXddhNkgIRBUoqpbVLtE9fnZPpskbV9jZs2dPhoZBRIUgFFOwsyeADk8YxTYTbKbDv8RYjBK8YRnBqJKzYUfTdHT7IuhK1I8sqHVDHGWmKl/NqXLCKAkIRlV0eiMoc5jhi8QQllU4sxh2ev3xmZ0aNhSkSSisP02IKGv6AlF83O5FhyeMCqdlTEEHAERBgA49p/vtRBQVO3sC0AG4LAY0ltqzPaS0MxlEzCyLlyh81uWHURIQUzREZC1rY1JUDYPB+M9FfXFuL3NSbptQ2LnpppuwatWqYZf/8pe/xM033zzZMRFRHlE1Ha39QXy814OwrKLGbYVxnDMBFoMB/cEYdF3P0CgnJ945uXCLk5PmVDkBANu6/RAEATqQ1R1Znb4wVF2HKLBmhyZnQmHnj3/8I5YsWTLs8sWLF+PZZ5+d9KCIKD9EZBVbO334rMsPq8GAsgn2QrEaJQQiSlZnEQ4lFFPRNhCv15lRZs+ZAzLT7YjKRNjpip//ZZRE+LLYSXnfYHzZsMhmgrlAAyZNjXHvxgKA/v5+uN3uYZe7XC709fVNelBElPsGgzHs6PFjIBBDhcsy7tmcA1mMIgZDKgJRJSeDhD8ipzonzyp3wFJgxclJcxJhp6UviIiswmyQ4Iso0DQ9KzVK+xsK5nZbAsp9E/qNnTVrFl588cVhl7/wwguYOXPmpAdFRLnrwEM8/WEF1UXjX7Y6mCAIgCBkdRZhNJqmoz8Yw77EG++8aldWdydlUpnDhCKrEZoO7OoNwGwQEVVURLJ0bEQy7FSwxw5N0oRmdm699VbceOON6O3txZlnngkAWLNmDX72s5/hgQceSOf4iCiHRJV47Ur7QBh2kwGldmPaHttqlDAQimGmrudUg9KwrKKlNwhF02E1SjiisvCKk5MEQUBzhQMbWwexrcuPedUueMLxImVbFiZXunyJbecMOzRJEwo711xzDaLRKO655x785Cc/AQDMmDEDDz30EK666qq0DpCIcoM3LGNnjx+9/ijKHOa0n5lkNUoIRhSEYirs5gm9NGVEWFaxK1GcXF9ihc2cvoCXi5rL7djYOojPuvwQBQGariOcpSLlLm982zl77NBkTfgV5etf/zq+/vWvo7e3F1arNdVVmYgKy2iHeKab2SCiP6ghGFVyK+zE9ndObiy1F+xOrKTm8uT2cx90XYcoiAhmqZNyd2JmhzuxaLIm/YpSXl6ejnEQUQ6KKRpa+4PY0x+CxSCmDovMBEEQIInxGaRcqtHwhmPYm+ic3Fxuh8VYmPU6STNKbRCF+OnnvYEozAYR3ogMPQvLi8nuyWwoSJM15rBz/PHHY82aNSguLsZxxx13yB/6TZs2pWVwRJQ9hzvEMxOsxni/neYs7f45mKrp8IYUtA/GZ3bmVDrTvnyXa8wGCU1lduzqDWJblx8nNBYjHFMRVbQpndXSdR0Dwfg5XXXFDDs0OWMOOxdeeCHM5vhBcRdddFGmxkNEOWCsh3imm9UowRuJIRhT4LRkvzYmfvhnEBFZg1ESMK/ale0hTYk5Va5U2FncXAZ/REFUntqw0+uPQlbjTSaT53YRTdSYw86//Mu/jPj/RFQ4xnuIZ7qZDCJkRUMgmhthJxRTUsXJdcU2uKzZH9NUmFvlxP9t7sS2bj8kcX+RshtT9/Unt/q7rcac7L1E+aWwF5+JaMxCMQWfdvqwo8cPp8WAErspK1vARVGEN5Qb/XYiMQ1tiXqdhhIbrAVenJyUbC64sycAWY13tQ7FprZIOVknVcaGgpQGY57ZKS4uHvML38DAwIQHRERTry8Qxc7uADzhGCqck+uGPFk2o4TBoAxF1bLevM8TjmFf4k23qaxwz8Q6WLXbAqfFAH9Ewe7eIMocJvjCUxt2Or3x73smi+Jp+hhz2GGzQKLCoya6Ie/qDUCAgBq3NesN/aymeHPBYEyF25q9sKOoGnxhObXtfHaFs+B3YiUJgoA5lU683zqIbd0+1BZXIhBTIKvalAXhTg8bClL6jDnsrFixIpPjIKIpFpFV7OwJYO9gGG6LEQ5LbvS2MUoiVFVHIKrAncUambCsossXgT+iQBSA+bWurAfBqTS3KhF2uvw456hqeMIxRGR1ysJOsntyJXvsUBpM+NVNVVWsXr0aW7duBQDMnz8fF1xwASRpekzzEuWzdB7imQkGUYAnGENtFvurhGMqdvUEAQDVbitK7easjWWqOCwSevzxGp05VfGdZ591+WGURMhqvEh5qgrH2VCQ0mlCYWfnzp344he/iH379mHOnDkAgHvvvRf19fV4/vnn0dzcnNZBElF6aJqODm8YO3sCUFUd1UVWiDk4W2EzGeAJy1O6bHKwUGx/f52GEuu02BHkshihI97j5ohKBwQAPf4oBoMxADoiMW3KxtLtix8Vkc3AS4VjQq8iN910E5qbm9He3o5NmzZh06ZNaGtrQ1NTE2666aZ0j5GI0iCqqNjW7cOnHT4YRREVLktOBh0gXrcTjqkIRrNzTAEAeMNKqjh5RlnhHxMBAA6LIXHSuQabyYCGknh/m23dfhhFCb5IbErGoes6+gKJsMOGgpQGE5rZWbt2Ld555x2UlJSkListLcVPf/pTLFmyJG2DI6L0yPQhnukmiQIUTYM/oqAoC8dty6oGf1RJFSfPKndMi23nVqMEh9mAUFSFxShhTpUTrQMhfNblx5HVLvjDKrQp6G7tDcmIKvFZpDo2FKQ0mNDMjtlsht/vH3Z5IBCAycSeCES5Qtd1dHrD+Kjdg8GgjCqXNeeDTpLZIKWOC5hqYVlFfyCK/sS/f2SNa8q6SGeTIAgotZtSp5zPqYr329nW5YPJICKqqogomT8Bvd0TD5kOsyFnCucpv00o7Jx33nm44YYbsGHDBui6Dl3X8c477+BrX/saLrjggnSPkYgmIKZo2NkTwJZ9PgiI9yvJpTfsQETBhpb+UZvVWY0SfBEZ0Sl4cz1YOKaipS/eObnCaZ5WRbIOixGCAGi6nmouuKMnAIMoIKZoCMcy/3x0JLads6EgpcuEIvOqVauwYsUKLFq0CEZjvDJfURRccMEF7MdDlAMOPMSz1G7KqXqTnT0B/N+WTqzd3ouYouHzcytw87Ijht3OYpTgD8gIRtUpn40KRRW0DcTrdepLbLCZps/sgtNigNkoIiKria9dQiimom0gBLNRTM36ZFJH4qiICvbYoTSZ0G9wUVER/vznP2Pnzp2prefz5s3DrFmz0jo4IhofXdfR649m5RDPQ5FVDet29uH5j+PnLR3o7V39+OYZw3ddSaIAVdMRiCgosU/tX/iesJwqTm4stcGcQ2Ex0yxGCU6LAb6QApvJgCMqnfiw3YNt3X4c31A8JUXjbChI6TahZawf//jHCIVCmDVrFs4//3ycf/75mDVrFsLhMH784x+ne4xENAaKqmF3bxAf7/VCUXVU50DQ6fFH8Pj6PfjKo+/h5y9vx7ZuPwyigM/NLsdPL16Qqg/5oM0z4v0tBgn9weiUjjmmaAhGFbSnipPt06I4+UCldjOi6tC6nc+6/DAbRHjDMnRdz+i/3+mLB83ptHxImTWhsHPXXXchEAgMuzwUCuGuu+6a9KCIaHyCUQWf5MAhnkC81uODtkHc/fynuP7x9/HMxr3whmWUOUz4p4UN+O+rT8JtZ83B/Bo3FjWXAgDe3tU34mNZTfG6ncgULJ0khWMqPGEZnd747MLcKhdMhtxquphpDrMBohCfWZtbmSxS9sNkEBGRtdROqUzp9sYDLsMOpcuElrF0XR/xhfSjjz4ash2diDIvVw7xDEQVrNnajRe2dGFfouYCAI6pc+PcBdU4ual02EzT4uYy/O3jTmxoGRjx4E+LUYI3LCMQVaas7igsq2jtC0IHUGQ1oqF0+m19tpsNsBglRGQVRyTCzj5PGFFFQ0zREJHVjD4f3f5E92Q2FKQ0GVfYSZ58LggCjjjiiCGBR1VVBAIBfO1rX0v7IIlouFw5xLOlL4DnP+7E69t7U3/x20wSzpxbgS8uqEZ98ehh4chqF9xWI7xhGVs6fDi2vmjI9aIgQNcBf1hGmWNqjmsIRGXs9ewvTrabp09xcpLFKMFlMWIgGEOZw4watwUd3gh29QZQU2RFWFZRlMF/v8/P7smUXuP6LX7ggQeg6zquueYa3HXXXXC73anrTCYTZsyYgUWLFqV9kEQ0VLYP8ZRVDW/v6sfzmzuxtdOXuryxxIZzj67G6UdUjOl4BUkUcEpTCV76tBtv7+obFnaA+Bb0/mAMM8pGnlFON09Ixt5kcXKJDZY86UuUbiV2U+owzjlVTnR4I9jW5UddsRWhaOaWFYNRBcHE9vZ6dk+mNBnXK2Ty5POmpiYsWbIEBsP0+4uHKNtkVcOWfV70+aNTfohnXyCKF7d04aVPu+AJyQDigWXRzFKcu6Aa82vGfzL44uYyvPRpN9bv7sdXP9c8bKnLapIQiCoIy2rGt4BHFRVhWU0VJzeV26fFmVgjcZgNkBJ1O3OqXHhtW2/qBHRvBo+N2Jc4j8xqlODOQvdsKkwTeuVwOp3YunUrFixYAAD485//jEceeQRHHnkkfvSjH7GLMlEGxRQN/oiM8imqz9F1HR/v9eL5zZ3Y0NIPLbERp8Ruwtnzq3DW/KpJbQ1fUOeG3SzBE5LxWZcP82vcQ643G0QMhDQEIkrGw044piIQUVIzO0dUOmGeZsXJSXazAZbEGWVzEzuytnf7YZAEhKIqYoqWkcLtvYPx2aRSNhSkNJrQT+pXv/pVbN++HQCwe/duXHbZZbDZbHjmmWdw++23p3WARDSUoulQdSDTu8qDUQV//agD33hqE3745y1YvzsedBbUuvG9s+fid1ediCtObph0DxyjJGLhjOSurP5h1wuCAAGALyJP6t8Zi7CsYu9gGIqmw2aS0Fxuz9qutmwzGUS4rQaEZAUzSu0wGUQEY/FjNKKqlrFjI/Z54zM7Fc6pqdGi6WFCfyZt374dxx57LADgmWeewWmnnYannnoKb731Fi6//HJ2USbKIE3ToWvI2GGMrf1BPL+5E69t60FEjhccW40SzphbgS8eVYXGUnva/83Fs0rx6rYevL2rH9ctbRoWMKxGCf2BGGaWZfYQykBkf3+d+hIbnBZjxv6tfFBiN2OfJwxJFDC7woFPOnzY2RPAkTVuRGIqXBn4/iQbCla7Wa9D6TPhreeaFn8RfOWVV3DeeecBAOrr69HXN3K/DCJKD1XXoUGHmMYZB0XVsH53vOD4k479Bcf1JTace1QVzphbkdElpGPri2AxiugLxLs/J7c7J1lNEvwRGSFZhSNDu6N0XYcnLKPDG1/CaiixTdt6nSSHyQCDKEJRNcytcuKTDh+2dfkxv8adsWMjuhNF0VVuzuxQ+kzoVePEE0/E3XffjWXLlmHt2rV46KGHAAAtLS2orKxM6wCJaChN05GumNMfiOLFT7rw0iddGEwUHIsCUgXHR9W6p2QZx2yQcGJjCdbt7MPbu/qHhR2zQUK/GkUgomQs7EQTh1y2JWZ2ZpZNv87JB7ObJdiM8bOxkoeCbuuONxf0hjOzrJhs5siZHUqnCb1qPPDAA1i+fDlWr16NH/zgB6kzsZ599lksXrw4rQMkoqFUXcdkmvXruo4t++IFx8k6HAAothlx1vwqnD2/CqVT1NPmQIubSxNhpw8rFjUOC1kiRHjDMVRlqKtuOKYiHFXR2p88JsKRUweoZoNBElFkN6JjMII5VS4AQGt/CKoaP7NM1fS0H0mSnNlhjx1KpwmFnaOPPhqbN28edvm//du/QZKm94sDUaapmo6JpJ1QTMFr23rxf5s7U7MXADC/xoVzF1TjlJmlWeu+DAAnNpbAKAno9Eawpz+EprKhtUFWk4SBoJyRN1ggXpzc5Y8gmthlNKvSkfWzxXJBsc2E9oEwKu0mVDjN6PFH0e4JoanUjoispr3pYm+ioWANe+xQGqX1p9Ri4TkmRJmmacB41rHaBkL4v82dePWznlSdhcUo4vQjKnDugmrMKEt/wfFEWE0Sjm8oxoaWAazf1Tcs7NhMEgbDMQRjSkYKY/0ROVWcXFdknfKT1nOV3WyAQRIgqxrmVDnR449iV8/+TsrpDDsRWYUvEj9VvZ4zO5RGE/opVVUVv/jFL/D000+jra0NsdjQBlMDAwNpGRwRDSerGsTDpB1F1bChZQDPb+7E5n3e1OW1RVacu6AaZ86tyMljEBY3l2JDywDe3tWPf1zYOOQ6oyRCSSyfpDvs6LoOT0hGxwHHREz3ep0ku8kAu8mQqtt5c0cftnX7sXR2OcKx9BYpdyXqdUySgGKGTUqjCb3a3XXXXfjtb3+Lb3/72/jhD3+IH/zgB9izZw9Wr16NO++8M91jJKIDyJo2ao+dgWAML33ShRc/6cJAMP5HiCgAC5viBcdH101NwfFEnTyjFJK4E60DIewbDKP2oKUMgyDAE46hJs1/9UfkeN+Y9kQzwaYyGyzTfCdWkiQKKLGZ0Nofwpyq/SegG4T44a/ptDfRPbnUYc7pn1PKPxMKO08++SR+85vf4Nxzz8WPfvQjXHHFFWhubsbRRx+Nd955BzfddFO6x0lECbKiDek1o+s6Pu304fnNnXh7V3+8pgfxE7v/IVFwXJ4nDdocFgOOqXNjU5sHb+/qw6Un1g+53mqSMBiURzwhfTLCsopITEVLXxAA0FzumLZnYo3EZTVCg4bmcgcMogBfRIEnLMMRlqHr6TuzbF9iZo0NBSndJhR2urq6UkdFOBwOeL3xafLzzjsPK1euTN/oiGiY+MyOgHBMxevbe/B/mzuxp39/wfG8Kie+uKAaS2aVZbXgeKIWN5clwk7/8LCTOBQ0GFXhtqXvawvFFPQHowhEFUiCgCOqHBk5CiFfOSwGmCQRmq6judyBbd1+tPaHUO4yI6poadu11uFJ9thh/Sel14TCTl1dHTo7O9HQ0IDm5mb8/e9/x/HHH4/33nsPZjMTOVEmDQZl/O977Vi3sw+hRM2E2SDi9CPK8cUF1ZhZ7sjyCCdnYVMJ/vN1YGdvAD2+CCpc+9/4DJIIRdfgj8pw29JXt+OPKNiXOJOpusiCUjtfxw5kM0qwmQwIx1TMqXJiW7cfu/qCOLquCOGYmraw05lo6FjFHjuUZhP60+VLX/oS1qxZAwD41re+hZUrV2L27Nm46qqrcM0116R1gDNmzIifjXPQxze/+U0AQCQSwTe/+U2UlpbC4XDgkksuQXd3d1rHQJQrNE3H8x934u+fdiMUU1HjtuC6pU149Csn48YzZ+d90AGAIpsJR1bHe7q8vXv4WVkmUcJgKH2nbmuaDm9YRkeiOLahxJaTxdvZJIoCSh0mhOWhh4Jqup7WTsrJAuUazuxQmk3oN/qnP/1p6v8vu+wyNDQ0YP369Zg9ezbOP//8tA0OAN577z2o6v5fpi1btuALX/gCLr30UgDALbfcgueffx7PPPMM3G43brzxRlx88cV466230joOolyg6jr6EoXHFxxTg2uXNqX12Ihcsbi5DFs6fHh7Vz8uOrZ2yHVWkwRvSE7bqdsRRUVEVtGWWAps5E6sEbksRugAjqiIB+qWviAUVUcolr4i5W5foscOt51TmqXlz5dFixZh0aJF6XioYcrLy4d8/tOf/hTNzc047bTT4PV68bvf/Q5PPfUUzjzzTADAI488gnnz5uGdd97BKaeckpExEWWLqukIJE7/riu2FmTQAeJb0H/95m581unDQDA2pOeN1Sih168gGFVgMkx+e3I4piKmaNjTHy9Onllun/adk0fisBhgNoiwGSUU24wYDMXPEatM4xlWvYF42GH3ZEq3MYedv/zlLzjnnHNgNBrxl7/85ZC3veCCCyY9sJHEYjE88cQTuPXWWyEIAjZu3AhZlrFs2bLUbebOnZuaaRot7ESjUUSj0dTnPp9vxNsR5RpN11PbfTPRWC9XlDrMmFMZrw1Zv7sf5y6oTl0niQLUxPchHb1YQjEV3rCM/mAMAoDZFU6YWZw8jNUowWE2IBSN1+28s3sAe/qDmFftTMssm6xqGEzMWtaxezKl2ZjDzkUXXYSuri5UVFTgoosuGvV2giAMWXZKp9WrV8Pj8eDqq68GEN8VZjKZUFRUNOR2lZWV6OrqGvVx7r33Xtx1110ZGSNRJqmaDn+iw6zDUth1JYubS+NhZ1ffkLADABaDiIFgDPUltkn/O/7I/maCFS4zqtwW9ngZgSAIKLWb0B8IYE6lC+/sHsDu3gAiioawrE467PT6o9ABGEQBZVk4m40K25h/OjVNQ0VFRer/R/vIVNABgN/97nc455xzUFNTM6nHueOOO+D1elMf7e3taRohUWZpGhBMzewUetgpAwBs3ueF76ATtq0mCd6wjMgki2PjxckK9iW2PNcX2wo+RE6Gw2KEIABHVMbrdrZ3B6Bq2qSfB2B/Q8Fiu2lIHymidBh3FNc0Df/93/+N8847D0cddRQWLFiACy+8EI8//jh0fTJnMR9aa2srXnnlFVx33XWpy6qqqhCLxeDxeIbctru7G1VVVaM+ltlshsvlGvJBlA8UTUstYznMhbuMBcR7rcwss0PTgQ0tQ3dlWYwSIrI66Q6+YVlFVFZTb7QNpTbW6xyC02KA2Sgm6sWA/mAMg0EZ4TQUKSe3/rOhIGXCuMKOruu44IILcN1112Hfvn1YsGAB5s+fjz179uDqq6/Gl770pUyNE4888ggqKipw7rnnpi474YQTYDQaU9vgAWDbtm1oa2vLWME0UTb5IwoSDZLhnAYzEIubSwEAb+8aGnZEQYCO/cXaExWKqYipWqpz8swyO3diHYLFKMFpMUDXkTpAtn0gBG84DWEnsZRY6eK2c0q/cb1aPvroo3jjjTewZs0anHHGGUOue/XVV3HRRRfh8ccfx1VXXZXWQWqahkceeQQrVqyAwbB/yG63G9deey1uvfVWlJSUwOVy4Vvf+hYWLVrEnVhUkJL9ZUySmFczEIqqQVZ1yKoW/9B0aJoODTrK7OZRv5ZFzWV4YkMbPmz3IBhVhvS/sRgM6A/G0Fg68eMKIrKKYFRBZ6K/y+wKZ159X7Oh1G5Grz+KOZVO7O4NoqUviGBUmfQRHsmGgtXssUMZMK6fzD/84Q/4/ve/PyzoAMCZZ56J733ve3jyySfTNrikV155BW1tbSM2LPzFL36B8847D5dccgk+97nPoaqqCn/605/SPgaiXDCQCDu5Vlei6/EgE4op8IZl9AWi6PSG0eENocMTQn8ohrCiQBQEFNlMmFFqw5E1LtQX2+AJj94gsKHEhrpiKxRNx3t7BoZcZzVKCEQURGRtwuP2hmOp3i4ldhOqiyyQWC9ySA6zAaIg4IiKeHPBXb1BRBUVEWXizwOAVOCsYfdkyoBxvWJ+/PHHuP/++0e9/pxzzsGqVasmPaiD/cM//MOo9UAWiwW/+tWv8Ktf/Srt/y5RrvGG4ss22ShO1nQdiqojlpydUTUoiTU1AYBBEmCURBglES6rCQ6zAWajBJMkwmQQYTaIMEnikOJTezCGLm8EsqqNeo7X4uYyPP1+O97e1Y/T51SkLrcYRQyGVPijMqwTOKFc1XT4wgr2JU46ry+2osg6+a3shc5uNsBilNBYGt8Jt7svgFBUQTimwjGJztPdvkTYKebMDqXfuH4yBwYGUFlZOer1lZWVGBwcnPSgiGhkyWWsybypHIqqxWdolCFLThoEAKIgwigJMBhEWE0Sykwm2M0GmBIhxmQQU/8/1mWlIqsRpQ4TBoPyqCezL24uxdPvt2Nj2yAi8v5zmARBAAQB/rCCxCTDuIRlFVFFRXuiOLmu2AaLkf11DsdilOCyGCErGpxmA/xRBXsHIzh6kjuyevxsKEiZM65XTFVVh9TMHEySJChK+lqHE9FQnsTMjnMSDQVHq5+BAEiCkJqhsVsk2E3mEQNNuk5TF0UBNUVW9PgiUDV9xCWkmWV2VLrM6PZFsbF1EEtmlaWusxolDIRimKmPv24nFFOGd06ewAzRdFRiN6HLF8GcKifebx1E60AQ/kkUi2uajoFEQ8F09E4iOti4wo6u67j66qtHPdn8wK7ERJR+yZmdQy1j6boORUuGmf2hRocO6IAkxWdoTKKEIpsJdrMEi1GKLzMZRJgNEkwGccpqV0rsJrhtJvgiMoptw5eRBEHAopllWP3hPry9q39Y2AlGFIRi6rgP74zE4rNWbQPxmZ1ZFQ7uxBojh9kASRAwuzIedvb0h+CLKNA0fUI9cvqCUaiaDlEAytlQkDJgXK8OK1asOOxt0r0Ti4j2S9bs2C0GRBV1SJiZbP1MthglEbVFVnzS4UORdeQZmiXNpVj94T68t2dgSH2PJTGzEzhop9ZYDIZi6PHFoOnxN++6YkvaZqwKnd1sgMUkYUZiFmZXbwBRWUVU0SZUP9WRqJsqtpkmtaOLaDTjenV45JFHMjUOIhoDb2KpQNeBQERJa/1MNpU7zXCYJQSiyohLdEdUOVFiN2EgGMOH7R6cNKMkdZ0kCPCF5XH1Z1HUeHPG5DERDSVWFFk5ozBWJoMIt9WAmmILBMRPK+/1RxGW1QmFnb2JsFPGhoKUIYzQRHnEl2jeVmI34bjGYixsKsFJM0pwZI0bjaV2VLutKHWY4bQYYTZIeRF0gPgMTZXbAt8odR+iIGDxzGSDwb5h9+0PxuJ1R2OUKk5OLGHVldhgM3MJazxK7GYYDSLqSpK7soIIT7BIuSPRY6eSYYcyhGGHKE+o2v4Tz90WI5xmQ0Etu1S4LLAYJIRjI79hJrspb9g9AEXd39PFapQQiikIjuPIgnBMRUzRsac/HnZmlLBz8ng5TAYYRBFHVMTPyWrpCyI0weM7OhJnk1UXcds5ZUbhvFISFThV2388QpHdmBP1NunkshhR7jSPOrtzZI0bLkt8q/OWDl/qcpNBhKxo4zonKxRToOk6WhI7sZor7OycPE52swSbUcKM0vixEXv6gvCEJ7YjK9k9mQ0FKVMYdojyhKbr8Cfe0Evthdn8ripxVICsDu/GK4kCThllKUsSxVTx9lh4wwoGAzHEFA0Wg4jGUhvMBr4cjodBElFkN6LhgGWsUFRBVBn/UlayezJ77FCm8LebKE/IioZQNP5GMloDvnxXbDOh1GFK9RM62OLm+Lbz9bv7oR5Qo2M1ShgIxoYsb41GVjX4owr2JWYT6optKLaZ8qa+KZcU20yocJlhNUqIKhp29wURiY3/2IjeZEPBYoYdygyGHaI8MRiWkXx7LyvQXiSiKKDabYWsaUPCTNLRdW7YTRI8IRmfde1fyrKaJIRkFcFR6n0OFIoN7ZxcX2Id97Z1irObDTAZRcxO1O3s7PaPu0hZ13X0BeJhp66YDQUpMxh2iPLEYKLDrNmQXyeej1epwwS31Thi7Y5REnFSU3zb+du7+odcrqr6mOp2IrIKRdXQ2hcPOw0lNhYnT5DdZIDdZEBTWbxup6U/hPA4CsUBYDAkQ1bjwbbCVZghnrKPYYcoTxx4LpZBKtwll2STwVBMHfEA4AOXsg683iAJ8ARHP0E9KRhVAB3Y1RcAAMwsd0yoNwzF66hKbKbUEQ8tfUF4w+MLO52JXkdua7xdAlEmMOwQ5YnkzI7NLMEoFvavbpnDDLtZQjA6fEnk+IYiWIwiev1R7OgJpC63GQ0YDMsjFjcfyBOOwRdWEIyqMIgCZpbaYeGb7IS5rEbMKIvX2nR6I+jxR8ZUO5W0NxF2eEwEZVJhv2ISFZDktl5ngc/sAPEanGq3Bb7o8Jkas0HCCY3xpaz1ByxlWU0SIjEVgcjoMwuxRJH3gbt/ih2Ft41/KjksBpTazahKdLD+rMs3rrqdZBfrSi5hUQYx7BDlieQyltNihKHAZ3YAoNxpgUkSERnhjXNJ8/4t6MmlLEkUoGiH7rcTjqmIyPsP/6wrscJlKcxt/FPFZpRgMxnQXB6v29neHRhn2Ek0FHSzoSBlTuG/YhIViGQfGYel8Gd2gPjJ7uVOC7wjNKo7obEYRklAhzeC1kQXZCA+6zNwiLqdsKxC03XsSTQTbCixwWLiy+BkiKKAUocJDaX763ai8tiXsZIzO9XssUMZxN9yojyR7D3jshhhmAbLLoIgoMptgY7hTQZtJgOOqy8GMLTBoNUowReRR21sF4jKEARgd2887DSVsXNyOrgsxv07svqCGAxFx3zfrkS/IzYUpExi2CHKE8manSKbYdo0wCuxmVBiN444u7M4tZS1v27HYpQQkUev2/GEZISiKgZCMQhI7MRi2Jk0h8WAmeV2GCUBoZiK7d3BMR/M2s2GgjQFGHaI8oQv8YZfYps+NSaiKKC2yIaoMrzJ4MlNJZBEAa0DIewbjM8OSKIAVdNH3MUVVVSEZTV1DlOV24Iyu7mgDlPNFqtRQpHVlJrd2drpQ2QMx0bouo6+ZNjhzA5lEH/LifJEssle6TTboltiN6HIaoT/oCaDTosRC2rdAIC3d+9fyrIYJPQHhy+jhGMqorKG9kQwqi+2wWVl5+R0EAQBpXZT6lDQHd3+UU+vP5A/qiCixJcoq1igTBnEsEOUJ3yJpZniaTSzA8RPNa8psiAYU4Y1GRxpKctqitftHLyLKyyrUHUdLX3J4mQrbCaGnXRxWIyYmdiRtbsvmAoxh9KVaAHgMBv4XFBGMewQ5QFN01N1KKX26TWzAwBlTjNsJsOws69OmVkKAcDOngB6fPE3TotRQlTW4D+obicQUSBCSBUnN5baYTHyJTBdnBYD5lY7AQD7PGH0Jp6PQ0kuP5Y5pleAp6nH33SiPBBJ1JsAQLHdmOXRTD2byRBvMhgZuq282GbCkTUuAMDbu+OzO6IgQNeBwAHLXrquwxOWoWgauhJvws0VDu7ESiOLUUJDiQ0ldhN0Hfig3TPicR8H2pfYdl7h4hIWZRbDDlEeSB4VISBewzIdVbgsMI7QZDB1VtaBS1lGCX3BWOrNNqpoCMf2FyeXOUwod5phNvAlMJ1K7WY0lcX77Xza4UP0MEtZqR47rNehDONvOlEeGEh0T7aZJJin6WxEvMmgObUFP2nRzHjdztZOXyoUWk0SglElNRuWLE7em1g2qSu2wWWZPlv4p4rDbMDMcgcAYEd3YMTu1wdKhp0a7sSiDGPYIcoDA4H4m7jdbJgWDQVHIggCqt1WAPqQgybLnWYcUemAjvhJ6ABgNoiIKlqqzikkq9AwtDjZYZl+y4GZZjcbMLcqXrezqy9w2B1ZyTPK6hh2KMMYdojyQLJ7stMyfcMOEK/RKbaZhjUZTC5lJbspC4IAUdi/XT8QkSEKAnb1HnBMBJew0s5ilHB0bREkUYA/omBXb+CQt+/27T+QlSiT+NtOlAcGUoeAGmCYxk3wJFFAbbEVEUWDdkDxa3IL+uZ93lTzRYtBQl8gBlXT4QnJEAHsHYyfo9Vc7oDVND2XAzOtym1BfaIb8sa2wUPeti8xY1nD7smUYdP3VZMojyRndtzW6VmcfKBSuxkui2HI1vJqtxVNZXZoOvBuywCAeN1OOKZgIBhDRFbR7YtA0+O1P5UuCywGhp1McJgNaE7U7XzS4Rt2rllSKKakTqhnQ0HKNIYdojzgCcf/Ai6ysc7EZBBRW2xFIDpyofJbiaUss0FCTNXQF4giqmhoS8zqNJTEOyeL03g5MJPsZgPmJPrt7Oj2p4rED5ZsKGg1inCa2VCQMothhygPJGd2iq0MO0C8KDm54yopuZT1YbsHoVj8clEQEZVVaLqOlr542KkrtnKGLINMBhHH1RcBAFr7Q/CEYiPeLtkGoNRh5q44yjiGHaI8kCzILZ6mPXYOZjMZUO2yDilUbiixobbICkXT9y9lGSUEogqMoojdiWLZhlI7zOycnFHzql1wWgzQdGDzXt+It9nnic/sVDinX0dwmnr8jSfKA94Qw87BKl0WGA1CqpeLIAjDzsqymSR4QjIkScCe/vhOrKYyG6zTtFfRVHGajam6nY2tAyPeJnlUBOt1aCow7BDlAW9iC/V0OwT0UFxWA8oc5iGzO8kt6BvbBhGRVRglMXUbWdVhNUqoK7bxmIgMs5ulVL+dTzp8ULXhx0Ykd8bVFtmmdGw0PTHs0LSh6/phO7rmquR26lLO7KQkmwzqBzQZbC63o8JpRkzRsCmx7dluNmBP3/7+Ok6zEcZpvH1/KhgkEcc2uAEAO3pG7qScbChYW8yZHco8/sbTtBCMKtja5cPG1sFUYWQ+8SW2WU/Xc7FGU2I3oeiAJoMjLWUBSDUTjBcnc+fPVDhpRgkEARgIxtCaWEI8ULKhYB1ndmgKMOxQQVM1HXsHQ/igbRBt/SHIioZPOnxo6w8e9kTmXBGRVcQSByqWORl2DiSJAmqLrIiqaqrJYHIp6709A6keL8lOvvXFVlhNDDtTodxpSR0DsWmE5oL9yYaC7J5MU4BhhwqWJxTD5r0efNLhAyCgxm1FqcMMu9GAz7r82NUTGLGWINckt52LAlDMLdPDlDpMcJiNqSaDc6qcKLGZEIqp+LDdk9h2Hp9ZmFFmZ3HyFLGbDJiTqNv5oM0z5LqooqYOdGWBMk0Fhh0qOFFFxa6eAD5s86AvEEOFwwy31Zjq5eGwGFBkNWFXXwDbunypWZNc1R+IAoh3ppVYazKM2SChtsiSajIoCgJOSSxlrd/Vj25fBKGYCqMkoKHUxm3nU0QSBRyb6LfzSYdvyExqjy/+M22UBBSzUSZNAf7WU8HQdR09vgg+aPNge48fFqOESpcFBklEIKLgN2/uxtef3IiXP+2CxSiizG5B20AIWzt9hz2dOZsGgslzsfimMJpyp2VIk8Fk3c47Lf3Y3h1fwqortsFpMXIn1hQ6aUYJgPgyYuCABpDJ4uQyNhSkKcLFayoIwaiC1v4g9nkiMIrxJStREKBqOl78pAtPbmhNLXOsenUnNrQM4MYzZqHSaUGHNwxZ1TCnypmTgeLAQ0BpZHazAZVOC1oHQrCbDTiqxg1n4vysv37UASBer1PEDtRTal61C3aThGBMxcd7vVgyK15Ptc8T3yRQzoaCNEU4s0N5TVE1tA+EsKltEO2DIRTbjCh1mCEKAj5q9+Cf/+cDPLx2F/wRBQ0lNlx8XC0MohAPO3/4AO+3DqLGbcVAMIZP9vlSsyi5ZDDIc7HGosptgUESEFVUSKKAUxJnZW3r9gMA6kqssPEMpinlMBswuzLeXPDAIuVkjx3W69BU4W8+5a3BYAx7+oPo9kXhMBtQ445vYe3whPHfb7VgQ+LIAKfZgOULG3D2UdWQRAGnzynHz1/ejj39Idzzf1vxhXmVuHbpDARjCrbs82JOlROVrtx5ER4IsaHgWLitRpTZzejzR1HhkrC4uRQvf9qdur6hmMXJU00UBRxdV4QP27348IAi5WT35Bo3d2LR1GDYobwTkVXsHQyhfSAEVQMqnWYYJBGhmIKn32/Hnz/sgKLpEAXg3AXVuOLkhiHLU01lDvz8y8fiiXda8dwH+/Dy1m58tNeDW5YdgdoiKz7p8CKmaKgrtuZEPUHyIMUihp1DEgQB1UUWdPsiUFQNx9QVwWaSEIqpEAVgZrkdFhYnT7kTGovx+PpWfNLhTV2WrNmpK2bYoanBsEN5Q9N09AaiaOkLwhOKodhmgs1kgKrp+PunXfj9O62pbdrH1RfhulNnoqEkPtsTkVUMhmLQdB1GUUSx3YSvLGnCSTNK8ItXtqPHH8X3n9uMi46rxUXH1uCzxC6tGWV2SGJ2A0/ya2JDwcMrtZtRbI83GSx1mHHyjBK8vr0XNW5rvDjZwJmdqXZyU7xIucsXRZc3jCq3FV2JsFPPsENThGGH8kIgqmBPXxCd3jCMoojqRAHyJx1e/ObN3akOuTVuC65dOhMnzSiGIMTrNwZDMYiigLpiK0rsZnR5w+gNRCEKAuZWOfHgFcfht+ta8PKn3Xjug334oG0QXz+9GaoWQExVMavCmdXjBQYTMzvcont4kiigpsiKzXvj/XXOPqoKb+7sw3GNRXBZDBCzHFynoyqXBbVFVuzzhPHunkFccIwVvYl2CtVsKEhThGGHcpqiaujwhLGnP4RQTEG5wwKTQUSPL4JH3t6DdTv7AMRPt77ipAace3Q1jJKImKJhMBQFBKDabUVtkRVFtnivnXKnGf3BKNoHQugNRGGURHzz9FlY2FSCB1/diT39IfzguS247KR6aFoZZFXHEZXOrG1Z5szO+JQ5THBa4k0G59e48b83nIK+QAQu7sTKCkEQsKDWjX2eMD5oHcQ5R1Wliu5ZoExThWGHctZAMIY9fUH0BiJwmIyoLbIhIqt4YkMrntu0DzFVgwDgH+ZX4Z8WNqDIZoKsaqkzdypcZtQV21BsMw6pvZFEARVOC0rtZvQF4qGn2xfGrHIH/uOyY/HQ2l3Y0DKAJze0YVPrIP7x5IbE1nQXHFnYzeNNHQLKbbpjkWwy+FmXH26rESZJhACB/XWy6LiGIrz4SRc+2utBrz8KHfHfwzL+TNMUYdihnBORVbQPhNA+GIKmAZVOK0QBeH1bDx59ew/6E38VHlXjwvWnzsTMcgdkVUOPLwINQIXTnFiyMh2ywFgSBVS6LCi1m9AXiKF9MISBYAxf+9xMnDyjBL9d14KtXX7c88JWXHpCPb64QMO8ateUFwr7IvGwU+bgzM5YlTktsCZmAw2iCKNBZHFyFiXbAHza6UNHosdOid3EZUWaMgw7lDM0TUePP4o9fUF4wvsLkLd3+/HrN3an+qVUOM24ZkkTFjeXQtV09Pgj0HQd5Q4zaottKB3ni6hBElHltqDMYUJvYqZnfq0bd194FP777RZ80uHD799pxcd7PbjhczNxUlMJKpxTM/2u6zoCiWaIxVzGGjOH2YBKV7xDttNshNkgcdt5Fh1V64bZICIia3h9Wy8AoNzBWR2aOgw7lBP8ERmt/SF0eMIwG6RUo7//Wrsbr27rAQBYjCIuPaEeFx1bC1EA+gIxKJqGMocZdSVWlNnNk/pL0SDFC5/LHGb0+qNoGwjhm6c3440dfXh24158tNeL7/1xM65ePAOXL2xAjduS8a3pwZgKJXFYKZsKjk+ly4K9njD8UTl1bAhlhyTGNwN8tNeL/9vcCSBeuEw0VRh2KKsUVUOnN4KWviDCMRVlDjN06Hh64148u7EdETl+SOeZcypw1aJGFNlM8IRiiCoqypxm1BfbUOowp3V7uFESUVMUDz09/ghK7GbMrnDgsfWtaBsI4cHXdmJj2yDuOGcu5te4MzoVn+yxY5QEzkyMU5HNiHKHGS19Qbh41EbWHd9YjI/2erE7cQJ9dRHDDk0dvgJQ1nhC8QLkrkQH5Gq3BW/v6sd/v9WCHn98a+qcSidu+NxMNJc74AnF0O2PoMRuwtxiF8ocpoz+tW4yiKgrtqHcaUZtsRWzKhx46t12/P3TLry9qx8rHnkPd5w9F186vjZj40juxHJajDnR4DCfJJsMDgZjPCYiB5w0owSPvLUn9XldsS17g6Fph68ANOViioZ9gyG0DoSgqDrcFgM+7fThTx/swycdPgBAqd2EqxfPwNJZZfBFFHT5IiixGzGnxIlyh3lKlyTMBgn1JfHQ01Rmx8KmEvzn6zvRF4jh9j9+jLd29eGuC+bDnYHC5UEeAjopJTYTyp1m2Bl2si7ZXDCpvoQ9dmjq5Pwi9r59+/BP//RPKC0thdVqxYIFC/D++++nrtd1HXfeeSeqq6thtVqxbNky7NixI4sjpkPpD0Tx8V4P3tzZi9c+68GvXtuJK//7Xfzk+a34pMMHkyTi8pPq8Z/Lj8cx9UXoCURgNoo4us6N4xqKUe22Zq32wmKU0FBqxz8ubMDvrz0ZZ8wphw5g9YcdOO/BdXh/z0Da/81kPxI3e8RMiEESMb/WnZWWATRUmcM8pE6nmudi0RTK6VeAwcFBLFmyBGeccQZeeOEFlJeXY8eOHSguLk7d5v7778eqVavw2GOPoampCStXrsRZZ52FTz/9FBYL14RzhS8s44XNnXjls258vNeLbl90yPUVTjNObirBhcfUwGKU4AnF4LaZ0FxRhHKHGSZD7uRyi1HCvGo3/nP5CXhu017c99I2tA+Gcdmv38E3TmvGPy+bnbZA1s+wQwVkQZ0bXZ/G+2BVs6EgTaGcDjv33Xcf6uvr8cgjj6Qua2pqSv2/rut44IEH8MMf/hAXXnghAODxxx9HZWUlVq9ejcsvv3zEx41Go4hG97/Z+ny+DH0FhWHzXg9+/04rFFWf0P27fBFsbB1EVNFSl0mCgLnVThxXX4zjG4pQW2SFrOkIRGUYJAFH1rhR4TLDnMNnGVlNEv7xlEZ8bk45vvfHj7FuZz8efG0n/v5pN+bXuNLyb3zWFf/Z5InnVAhObirBy592QxSAcie3ntPUyemw85e//AVnnXUWLr30Uqxduxa1tbX4xje+geuvvx4A0NLSgq6uLixbtix1H7fbjYULF2L9+vWjhp17770Xd91115R8DYXgh3/ego/avYe/4WG4rUYcU+fGMfVFOKrGDatpf5CJqhoMooAjq12ocFnyqtttXbENv792IZ56tw13/20rtnX7Uz2B0oX1DVQIljSXAQAqnJasnjdH009Oh53du3fjoYcewq233orvf//7eO+993DTTTfBZDJhxYoV6OrqAgBUVlYOuV9lZWXqupHccccduPXWW1Of+3w+1NfXZ+aLKABt/SEAwGUn1aN0Ao3tbCYJi2eVYl6V65DbtEVByNsXQEEQsHxhI06fU4E/btyLiKym7bGdZgP+8ZTGtD0eUbYcWePCf1x+LJrK7NkeCk0zOR12NE3DiSeeiH/9138FABx33HHYsmULHn74YaxYsWLCj2s2m2E2cwp1LEIxBYOJ7c/fP2ce3Gxsd0i1RVbc9PnZ2R4GUc668NjabA+BpqGc/jO6uroaRx555JDL5s2bh7a2NgBAVVUVAKC7u3vIbbq7u1PX0eS0JmZ1HGYDgw4REeWlnA47S5YswbZt24Zctn37djQ2xqf0m5qaUFVVhTVr1qSu9/l82LBhAxYtWjSlYy1UybBTw26nRESUp3J6GeuWW27B4sWL8a//+q/48pe/jHfffRe//vWv8etf/xpAvE7i5ptvxt13343Zs2entp7X1NTgoosuyu7gC8TOngAAoL6E3U6JiCg/5XTYOemkk/Dcc8/hjjvuwI9//GM0NTXhgQcewPLly1O3uf322xEMBnHDDTfA4/Fg6dKlePHFF9ljJ0129cbDzkwWFBIRUZ4SdF2fWPOUAuLz+eB2u+H1euFypac/SqG4+D/fwqY2D+675GhcdhJ3rBERUe4Y6/t3TtfsUPbtHQwDALeKEhFR3mLYoVHFFA19gXin6RmlrNkhIqL8xLBDo9o7GIKmA2aDyNbuRESUtxh2aFStA/Ft51VuCwRh9M7HREREuYxhh0a1O7ETq6GYS1hERJS/GHZoVMkeOzNYnExERHmMYYdGtSfRPXlWhSPLIyEiIpo4hh0a1d5Ezc7Mcs7sEBFR/mLYoRFpmo4uXwQA0FjCsENERPmLYYdG1OWLQFZ1SKLAQ0CJiCivMezQiPb0BwEAFU4zDBJ/TIiIKH/xXYxG1NIbDzt1xdYsj4SIiGhyGHZoRMnTzmeUsl6HiIjyG8MOjWh3X3xmp5nbzomIKM8x7NCI2hPbzmeVM+wQEVF+Y9ihYXRdR4cnse2cp50TEVGeY9ihYQaCMYRlFQBQX8KwQ0RE+Y1hh4ZJnnZe5jDBYpSyPBoiIqLJYdihYfYktp3XFHHbORER5T+GHRpmB7edExFRAWHYoWF2J8LOzDKGHSIiyn8MOzRM+0AYAHvsEBFRYWDYoWE6PPGw08SZHSIiKgAMOzREIKrAE5YBAA3ssUNERAWAYYeGaE2cdu6yGOCyGLM8GiIioslj2ClA/oiMPYmzrcYreT9uOyciokLBsFOAAlEFXb4IIokuyOORPO2cnZOJiKhQMOwUoEhMhT+sIBhVxn3fXYmGgtx2TkREhYJhpwD5owqCsoJgdPwzO639idPOue2ciIgKBMNOgdF1HcGoChEC+oPRcd9/X2Lb+cxyzuwQEVFhYNgpMFFFQ0xV4bYa4Y8o46rbiSoq+vzxgNRQwrBDRESFgWGnwERlDbKiw2kxICyrCIyjbqd9IAwdgMUoosxhytwgiYiIphDDToGJqioUTYdREgEdCETkMd+3bSCx7dxthSAImRoiERHRlGLYKTBRWUMypliMEvoCMei6Pqb77uzhtnMiIio8DDsFJhRTIInxuGM1SghGFURkbUz3TW47n8FjIoiIqIAw7BQYf0SBSYo/rRajiMg46nZaE92Tue2ciIgKCcNOAZFVDRFFg9EQf1oFQQAEYcx1O+2DyW3nDDtERFQ4GHYKSFTRICtqamYHAKwGCX3Bw9ftqJqObl8EANDIZSwiIiogDDsFJCqrkFUdRmn/TiqrKV63E4odut9OhycMRdNhEAVUu3kIKBERFQ6GnQISUzXoOoZsGzcbREQV7bDnZLUNxI+JqHRZUgXOREREhYBhp4BEYioObo8jCAIEAL7D1O3sTp52XsxZHSIiKiwMOwXEH1XizQQPYjFKGAjGoGmj1+0ke+w08rRzIiIqMAw7BULT4geAjhR2bCYJoaiK0CHOydqTOO28mQeAEhFRgWHYKRAxNX4AqGmEsGM2SIiqh67bSdbssMcOEREVGoadApE8ANRkGPkplQQBvvDIdTu6rqPTG++xw9POiYio0DDsFIiookLV9VF3UlmMEvpHqdvpC8QQSZypVV/CAmUiIiosDDsFIqpowCH6BlqNEsIxBcHY8KWs1v74MRFlTjPMBilTQyQiIsoKhp0CceABoCMxGUTEFA3B6PAi5ZbEmVh1RZzVISKiwsOwUyAOPAD0je29+Nnftw2r0RFFEd5wbNh9dyS2nTfwmAgiIipAhmwPgCbvwANAvWEZD762AxFZAwTg21+Yk7qd1ShhICBD1YbW9iRndrjtnIiIChFndgrAgQeAPvfB3njQAfD6tl5sbB1M3c5mkhBShtfttHPbORERFTCGnQKQPAA0GJXxt487AQBzq5wAgP98fSfCiUNAjZIIRdWH9dvZ54lvO28s5cwOEREVHoadAhBVNOgA/vRBB6KKhtkVDvz4gqNQ4TSjxx/FExtaU7eVBAGDof11O96wDH8kHn4YdoiIqBAx7BSAqKzCF5bxf1viszr/uLABVpOEb54+CwDw1486sK3LDyBet+MJylDU+FJXW+KYiCKrEQ4zS7iIiKjwMOwUAH9UwcufdiOmaJhT6cQJDcUAgOMbi3H6nHLoAH752g7IqgarSUJIVlNb0PckeuzUcNs5EREVqJwOOz/60Y8gCMKQj7lz56auj0Qi+OY3v4nS0lI4HA5ccskl6O7uzuKIp56m6WgfCOO1bT0AgOULGyAI+3daXbd0JlwWA/b0h/CnD/bBKIlQVR2BRJHyruS28xJuOyciosKU02EHAObPn4/Ozs7Ux7p161LX3XLLLfjrX/+KZ555BmvXrkVHRwcuvvjiLI526sVUDc99sBeyquPIaheOrS8acr3basT1p84EAPzPu21oHwzBIArwBON1O7t642GnidvOiYioQOV8kYbBYEBVVdWwy71eL373u9/hqaeewplnngkAeOSRRzBv3jy88847OOWUU0Z9zGg0img0mvrc5/Olf+AAvvvHj9HhCcNsEGE2SDAbRZgNIkySCLNRSlyeuMwgwWIUYUredsh1IixGKf5fQ/y/yT45e/qDeH1bL4B4rc6BszpJpx1Rjte29WJT2yB+9dpO3HHOXHjCMmRVQ2ti2/nscm47JyKiwpTzYWfHjh2oqamBxWLBokWLcO+996KhoQEbN26ELMtYtmxZ6rZz585FQ0MD1q9ff8iwc++99+Kuu+7K+NjX7+pHWyJMpJskCDAaBOg6oGg6jqpx4eha94i3FQQB3zy9Gd/8wyZ80uHDWzv7cEJjCYJRBR2JbeczOLNDREQFKqfDzsKFC/Hoo49izpw56OzsxF133YVTTz0VW7ZsQVdXF0wmE4qKiobcp7KyEl1dXYd83DvuuAO33npr6nOfz4f6+vq0j/8H587DYDCGYExBOKYhHFMQllWEZRUROf55KKYiomiIyipiihZvEKhqiKkaZFWHrGqJDx3qASeWq7oOVY5/LgrAlYtmjDirk1ThsuDKUxrxmzdb8Nj6Vswos6E/EEVfIL6c1ciaHSIiKlA5HXbOOeec1P8fffTRWLhwIRobG/H000/Dap347iGz2Qyz2ZyOIR7SWfOHL7+NRtN0yFo81CiJcKNoGhRVR1RREUnsoApFVYQVBZGYhrCsIqposBolzB5D9+NzF9Rg7fZebO8O4H/f2wuHxQgg3lm5xG6a8NdJRESUy3I67BysqKgIRxxxBHbu3IkvfOELiMVi8Hg8Q2Z3uru7R6zxyXWiKMAsSjhcq5tkKFJUHYoa//8eXwRtAyEU20ywmUZ/AEkU8K0zZuPmpz/EpjYP7O+2AwCq3ZZDzgoRERHls5zfjXWgQCCAXbt2obq6GieccAKMRiPWrFmTun7btm1oa2vDokWLsjjKzBJFAWaDBLvZALfNiDKHGXOqXJhd4YQ/osATGn6q+YFmlNnx/46vAwC8uaMPAFDPJSwiIipgOR12vvOd72Dt2rXYs2cP3n77bXzpS1+CJEm44oor4Ha7ce211+LWW2/Fa6+9ho0bN+IrX/kKFi1adMji5EIkiQJmltsxv9YFDTp6fBHouj7q7b98Yj1qD2giOLOMxclERFS4cnoZa+/evbjiiivQ39+P8vJyLF26FO+88w7Ky8sBAL/4xS8giiIuueQSRKNRnHXWWfjP//zPLI86OwRBQLXbCotBwrZuP/Z5whAPsTR1xcn1+Pe/bwcANHPbORERFTBBP9QUwDTh8/ngdrvh9XrhcrmyPZxJC8UUDARjONwz+9/rWvDy1m48+7XFqHJbpmZwREREaTLW92+GHRRe2CEiIpoOxvr+ndM1O0RERESTxbBDREREBY1hh4iIiAoaww4REREVNIYdIiIiKmgMO0RERFTQGHaIiIiooDHsEBERUUFj2CEiIqKCxrBDREREBY1hh4iIiAoaww4REREVNIYdIiIiKmgMO0RERFTQDNkeQC7QdR1A/Kh4IiIiyg/J9+3k+/hoGHYA+P1+AEB9fX2WR0JERETj5ff74Xa7R71e0A8Xh6YBTdPQ0dEBp9MJQRCyPZyc4/P5UF9fj/b2drhcrmwPh8DnJNfw+cgtfD5ySyafD13X4ff7UVNTA1EcvTKHMzsARFFEXV1dtoeR81wuF184cgyfk9zC5yO38PnILZl6Pg41o5PEAmUiIiIqaAw7REREVNAYduiwzGYz/uVf/gVmsznbQ6EEPie5hc9HbuHzkVty4flggTIREREVNM7sEBERUUFj2CEiIqKCxrBDREREBY1hh4iIiAoaww4BAFRVxcqVK9HU1ASr1Yrm5mb85Cc/GXLeiK7ruPPOO1FdXQ2r1Yply5Zhx44dWRx1YXnjjTdw/vnno6amBoIgYPXq1UOuH8v3f2BgAMuXL4fL5UJRURGuvfZaBAKBKfwqCsehng9ZlvHd734XCxYsgN1uR01NDa666ip0dHQMeQw+H+lzuN+PA33ta1+DIAh44IEHhlzO5yN9xvJ8bN26FRdccAHcbjfsdjtOOukktLW1pa6PRCL45je/idLSUjgcDlxyySXo7u7OyHgZdggAcN999+Ghhx7CL3/5S2zduhX33Xcf7r//fjz44IOp29x///1YtWoVHn74YWzYsAF2ux1nnXUWIpFIFkdeOILBII455hj86le/GvH6sXz/ly9fjk8++QQvv/wy/va3v+GNN97ADTfcMFVfQkE51PMRCoWwadMmrFy5Eps2bcKf/vQnbNu2DRdccMGQ2/H5SJ/D/X4kPffcc3jnnXdQU1Mz7Do+H+lzuOdj165dWLp0KebOnYvXX38dH3/8MVauXAmLxZK6zS233IK//vWveOaZZ7B27Vp0dHTg4osvzsyAdSJd188991z9mmuuGXLZxRdfrC9fvlzXdV3XNE2vqqrS/+3f/i11vcfj0c1ms/6HP/xhSsc6HQDQn3vuudTnY/n+f/rppzoA/b333kvd5oUXXtAFQdD37ds3ZWMvRAc/HyN59913dQB6a2urrut8PjJptOdj7969em1trb5lyxa9sbFR/8UvfpG6js9H5oz0fFx22WX6P/3TP416H4/HoxuNRv2ZZ55JXbZ161YdgL5+/fq0j5EzOwQAWLx4MdasWYPt27cDAD766COsW7cO55xzDgCgpaUFXV1dWLZsWeo+brcbCxcuxPr167My5ulkLN//9evXo6ioCCeeeGLqNsuWLYMoitiwYcOUj3m68Xq9EAQBRUVFAPh8TDVN03DllVfitttuw/z584ddz+dj6miahueffx5HHHEEzjrrLFRUVGDhwoVDlro2btwIWZaHvKbNnTsXDQ0NGXlPYdghAMD3vvc9XH755Zg7dy6MRiOOO+443HzzzVi+fDkAoKurCwBQWVk55H6VlZWp6yhzxvL97+rqQkVFxZDrDQYDSkpK+BxlWCQSwXe/+11cccUVqYMO+XxMrfvuuw8GgwE33XTTiNfz+Zg6PT09CAQC+OlPf4qzzz4bf//73/GlL30JF198MdauXQsg/nyYTKbUHwdJmXpP4annBAB4+umn8eSTT+Kpp57C/Pnz8eGHH+Lmm29GTU0NVqxYke3hEeUsWZbx5S9/Gbqu46GHHsr2cKaljRs34j/+4z+wadMmCIKQ7eFMe5qmAQAuvPBC3HLLLQCAY489Fm+//TYefvhhnHbaaVM+Js7sEADgtttuS83uLFiwAFdeeSVuueUW3HvvvQCAqqoqABhWKd/d3Z26jjJnLN//qqoq9PT0DLleURQMDAzwOcqQZNBpbW3Fyy+/nJrVAfh8TKU333wTPT09aGhogMFggMFgQGtrK7797W9jxowZAPh8TKWysjIYDAYceeSRQy6fN29eajdWVVUVYrEYPB7PkNtk6j2FYYcAxHeXiOLQHwdJklIJvampCVVVVVizZk3qep/Phw0bNmDRokVTOtbpaCzf/0WLFsHj8WDjxo2p27z66qvQNA0LFy6c8jEXumTQ2bFjB1555RWUlpYOuZ7Px9S58sor8fHHH+PDDz9MfdTU1OC2227DSy+9BIDPx1QymUw46aSTsG3btiGXb9++HY2NjQCAE044AUajcchr2rZt29DW1paR9xQuYxEA4Pzzz8c999yDhoYGzJ8/Hx988AF+/vOf45prrgEACIKAm2++GXfffTdmz56NpqYmrFy5EjU1NbjooouyO/gCEQgEsHPnztTnLS0t+PDDD1FSUoKGhobDfv/nzZuHs88+G9dffz0efvhhyLKMG2+8EZdffvmI23Dp0A71fFRXV+P//b//h02bNuFvf/sbVFVN1RmUlJTAZDLx+Uizw/1+HBw2jUYjqqqqMGfOHAD8/Ui3wz0ft912Gy677DJ87nOfwxlnnIEXX3wRf/3rX/H6668DiG+wuPbaa3HrrbeipKQELpcL3/rWt7Bo0SKccsop6R9w2vd3UV7y+Xz6P//zP+sNDQ26xWLRZ86cqf/gBz/Qo9Fo6jaapukrV67UKysrdbPZrH/+85/Xt23blsVRF5bXXntNBzDsY8WKFbquj+3739/fr19xxRW6w+HQXS6X/pWvfEX3+/1Z+Gry36Gej5aWlhGvA6C/9tprqcfg85E+h/v9ONjBW891nc9HOo3l+fjd736nz5o1S7dYLPoxxxyjr169eshjhMNh/Rvf+IZeXFys22w2/Utf+pLe2dmZkfEKun5Ai1wiIiKiAsOaHSIiIipoDDtERERU0Bh2iIiIqKAx7BAREVFBY9ghIiKigsawQ0RERAWNYYeIiIgKGsMOERERFTSGHSKaVq6++uohR5ycfvrpuPnmm7M2HiLKPIYdIsqY3t5efP3rX0dDQwPMZjOqqqpw1lln4a233pr0Yx8cWibqT3/6E37yk5+M6bZ79uyBIAipD5PJhFmzZuHuu+/Ggc3of/SjH6VuYzAYMGPGDNxyyy0IBAKTHi8RjR8PAiWijLnkkksQi8Xw2GOPYebMmeju7saaNWvQ39+f7aGllJSUjPs+r7zyCubPn49oNIp169bhuuuuQ3V1Na699trUbebPn49XXnkFiqLgrbfewjXXXINQKIT/+q//SufwiWgMOLNDRBnh8Xjw5ptv4r777sMZZ5yBxsZGnHzyybjjjjtwwQUX4JprrsF555035D6yLKOiogK/+93vAADPPvssFixYAKvVitLSUixbtgzBYBA/+tGP8Nhjj+HPf/5zagYleZry5s2bceaZZ6buc8MNNxxyRuXgZaxoNIrvfve7qK+vh9lsxqxZs1LjSSotLUVVVRUaGxuxfPlyLFmyBJs2bRpyG4PBgKqqKtTV1eGyyy7D8uXL8Ze//GUS31EimiiGHSLKCIfDAYfDgdWrVyMajQ67/rrrrsOLL76Izs7O1GV/+9vfEAqFcNlll6GzsxNXXHEFrrnmGmzduhWvv/46Lr74Yui6ju985zv48pe/jLPPPhudnZ3o7OzE4sWLEQwGcdZZZ6G4uBjvvfcennnmGbzyyiu48cYbxzzuq666Cn/4wx+watUqbN26Ff/1X/8Fh8Mx6u3ff/99bNy4EQsXLjzk41qtVsRisTGPg4jSh8tYRJQRBoMBjz76KK6//no8/PDDOP7443Haaafh8ssvx9FHH43Fixdjzpw5+P3vf4/bb78dAPDII4/g0ksvhcPhwPbt26EoCi6++GI0NjYCABYsWJB6fKvVimg0iqqqqtRljz32GCKRCB5//HHY7XYAwC9/+Uucf/75uO+++1BZWXnIMW/fvh1PP/00Xn75ZSxbtgwAMHPmzGG3W7x4MURRRCwWgyzLuOGGG3DVVVeN+rgbN27EU089hTPPPHOM3z0iSifO7BBRxlxyySXo6OjAX/7yF5x99tl4/fXXcfzxx+PRRx8FEJ/deeSRRwAA3d3deOGFF3DNNdcAAI455hh8/vOfx4IFC3DppZfiN7/5DQYHBw/5723duhXHHHNMKugAwJIlS6BpGrZt23bY8X744YeQJAmnnXbaIW/3v//7v/jwww/x0Ucf4emnn8af//xnfO973xtym82bN8PhcMBqteLkk0/GokWL8Mtf/vKwYyCi9GPYIaKMslgs+MIXvoCVK1fi7bffxtVXX41/+Zd/ARBfMtq9ezfWr1+PJ554Ak1NTTj11FMBAJIk4eWXX8YLL7yAI488Eg8++CDmzJmDlpaWjI3VarWO6Xb19fWYNWsW5s2bh0svvRQ333wzfvaznyESiaRuM2fOHHz44YfYunUrwuEw/vKXvxx2ZomIMoNhh4im1JFHHolgMAggXuh70UUX4ZFHHsGjjz6Kr3zlK0NuKwgClixZgrvuugsffPABTCYTnnvuOQCAyWSCqqpDbj9v3jx89NFHqccHgLfeeguiKGLOnDmHHduCBQugaRrWrl07rq9JkiQoijKkJie5LX3GjBkwmUzjejwiSi+GHSLKiP7+fpx55pl44okn8PHHH6OlpQXPPPMM7r//flx44YWp21133XV47LHHsHXrVqxYsSJ1+YYNG/Cv//qveP/999HW1oY//elP6O3txbx58wAAM2bMwMcff4xt27ahr68Psixj+fLlsFgsWLFiBbZs2YLXXnsN3/rWt3DllVeOaVZlxowZWLFiBa655hqsXr0aLS0teP311/H0008P+9q6urqwd+9evPDCC/iP//gPnHHGGXC5XGn67hFROrFAmYgywuFwYOHChfjFL36BXbt2QZZl1NfX4/rrr8f3v//91O2WLVuG6upqzJ8/HzU1NanLXS4X3njjDTzwwAPw+XxobGzEz372M5xzzjkAgOuvvx6vv/46TjzxRAQCAbz22ms4/fTT8dJLL+Gf//mfcdJJJ8Fms+GSSy7Bz3/+8zGP+6GHHsL3v/99fOMb30B/fz8aGhqGjDc5ZiA+o1NdXY0vfvGLuOeeeybz7SKiDBL0A9t+EhFNsUAggNraWjzyyCO4+OKLsz0cIipAnNkhoqzQNA19fX342c9+hqKiIlxwwQXZHhIRFSiGHSLKira2NjQ1NaGurg6PPvooDAa+HBFRZnAZi4iIiAoad2MRERFRQWPYISIiooLGsENEREQFjWGHiIiIChrDDhERERU0hh0iIiIqaAw7REREVNAYdoiIiKig/X+z1HktMeNsnAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=data, x='SystolicBP', y='DiastolicBP')\n",
    "plt.show() # Line plot of relationship between Systolic BP and Diastolic BP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "c074439e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=data, x='SystolicBP', y='BS')\n",
    "plt.show() # Line plot of relationship between Systolic BP and Blood Sugar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c9171e28",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=data, x='SystolicBP', y='Age')\n",
    "plt.show() # Line plot of relationship between Systolic BP and Age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "52e08314",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=data, x='SystolicBP', y='HeartRate')\n",
    "plt.show() # Line plot of relationship between Systolic BP and HeartRate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a2d2d3a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=data, x='SystolicBP', y='BodyTemp')\n",
    "plt.show() # Line plot of relationship between Systolic BP and BodyTemp"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "289d7562",
   "metadata": {},
   "source": [
    "## 1.0 Building Linear Regression Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e75cb780",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x='DiastolicBP',y='SystolicBP',data=data,aspect=2,height=4)\n",
    "plt.xlabel('DiastolicBP: as Independent variable')\n",
    "plt.ylabel('SystolicBP: as Dependent variable')\n",
    "plt.title('SystolicBP Vs DiastolicBP');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c08bb2e4",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "#Spliting available dataset to training and testing data\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(data['DiastolicBP'], data['SystolicBP'], test_size=0.3, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0250d9ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Building Linear regression model\n",
    "regressor = LinearRegression()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "7709280a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "LinearRegression()"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reg = regressor.fit(X_train.values.reshape(-1, 1), y_train.values.reshape(-1, 1))\n",
    "reg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "13214bc7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Coefficients:  [[1.06515767]]\n",
      "Intercept:  [31.76765096]\n"
     ]
    }
   ],
   "source": [
    "print('Coefficients: ', regressor.coef_)\n",
    "print('Intercept: ', regressor.intercept_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "564e0542",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R-squared value of the model: 0.5718811017181815\n"
     ]
    }
   ],
   "source": [
    "#Evaluating the model\n",
    "\n",
    "print(\"R-squared value of the model:\", regressor.score(X_test.values.reshape(-1, 1), y_test.values.reshape(-1, 1)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f2d77561",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[276.86042988]])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "output = reg.predict([[230.1]])\n",
    "output"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1438ddc8",
   "metadata": {},
   "source": [
    "## 2. Principal Component Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "82d061ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.decomposition import PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "047b2b2d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Separate the explanatory variables from the response variable\n",
    "X = data.drop('RiskLevel', axis=1)\n",
    "Y = data['SystolicBP']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c179c848",
   "metadata": {},
   "outputs": [],
   "source": [
    "pca = PCA(n_components=2) # Creating PCA components"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d1257697",
   "metadata": {},
   "outputs": [],
   "source": [
    "#data['RiskLevel'] = data['RiskLevel'].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "fb3f7641",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>PCA(n_components=2)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">PCA</label><div class=\"sk-toggleable__content\"><pre>PCA(n_components=2)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "PCA(n_components=2)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca.fit(X) #Fitting the model\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f88b6a8",
   "metadata": {},
   "source": [
    "## 3. Relationship Between Age and HeartRate "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b071ce10",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=data, y='Age', x='HeartRate')\n",
    "plt.show() #Preliminary plot of relationship between Age and HeartRate"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97be3822",
   "metadata": {},
   "source": [
    "### Creating Age_Groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b2059fee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>SystolicBP</th>\n",
       "      <th>DiastolicBP</th>\n",
       "      <th>BS</th>\n",
       "      <th>BodyTemp</th>\n",
       "      <th>HeartRate</th>\n",
       "      <th>RiskLevel</th>\n",
       "      <th>AgeGroup</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>25</td>\n",
       "      <td>130</td>\n",
       "      <td>80</td>\n",
       "      <td>15.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>86</td>\n",
       "      <td>high risk</td>\n",
       "      <td>20-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>35</td>\n",
       "      <td>140</td>\n",
       "      <td>90</td>\n",
       "      <td>13.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>70</td>\n",
       "      <td>high risk</td>\n",
       "      <td>30-39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>29</td>\n",
       "      <td>90</td>\n",
       "      <td>70</td>\n",
       "      <td>8.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>80</td>\n",
       "      <td>high risk</td>\n",
       "      <td>20-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>30</td>\n",
       "      <td>140</td>\n",
       "      <td>85</td>\n",
       "      <td>7.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>70</td>\n",
       "      <td>high risk</td>\n",
       "      <td>20-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>35</td>\n",
       "      <td>120</td>\n",
       "      <td>60</td>\n",
       "      <td>6.1</td>\n",
       "      <td>98.0</td>\n",
       "      <td>76</td>\n",
       "      <td>low risk</td>\n",
       "      <td>30-39</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1009</th>\n",
       "      <td>22</td>\n",
       "      <td>120</td>\n",
       "      <td>60</td>\n",
       "      <td>15.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>80</td>\n",
       "      <td>high risk</td>\n",
       "      <td>20-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1010</th>\n",
       "      <td>55</td>\n",
       "      <td>120</td>\n",
       "      <td>90</td>\n",
       "      <td>18.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>60</td>\n",
       "      <td>high risk</td>\n",
       "      <td>50-59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1011</th>\n",
       "      <td>35</td>\n",
       "      <td>85</td>\n",
       "      <td>60</td>\n",
       "      <td>19.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>86</td>\n",
       "      <td>high risk</td>\n",
       "      <td>30-39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1012</th>\n",
       "      <td>43</td>\n",
       "      <td>120</td>\n",
       "      <td>90</td>\n",
       "      <td>18.0</td>\n",
       "      <td>98.0</td>\n",
       "      <td>70</td>\n",
       "      <td>high risk</td>\n",
       "      <td>40-49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1013</th>\n",
       "      <td>32</td>\n",
       "      <td>120</td>\n",
       "      <td>65</td>\n",
       "      <td>6.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>76</td>\n",
       "      <td>mid risk</td>\n",
       "      <td>30-39</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1014 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Age  SystolicBP  DiastolicBP    BS  BodyTemp  HeartRate  RiskLevel  \\\n",
       "0      25         130           80  15.0      98.0         86  high risk   \n",
       "1      35         140           90  13.0      98.0         70  high risk   \n",
       "2      29          90           70   8.0     100.0         80  high risk   \n",
       "3      30         140           85   7.0      98.0         70  high risk   \n",
       "4      35         120           60   6.1      98.0         76   low risk   \n",
       "...   ...         ...          ...   ...       ...        ...        ...   \n",
       "1009   22         120           60  15.0      98.0         80  high risk   \n",
       "1010   55         120           90  18.0      98.0         60  high risk   \n",
       "1011   35          85           60  19.0      98.0         86  high risk   \n",
       "1012   43         120           90  18.0      98.0         70  high risk   \n",
       "1013   32         120           65   6.0     101.0         76   mid risk   \n",
       "\n",
       "     AgeGroup  \n",
       "0       20-29  \n",
       "1       30-39  \n",
       "2       20-29  \n",
       "3       20-29  \n",
       "4       30-39  \n",
       "...       ...  \n",
       "1009    20-29  \n",
       "1010    50-59  \n",
       "1011    30-39  \n",
       "1012    40-49  \n",
       "1013    30-39  \n",
       "\n",
       "[1014 rows x 8 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Specifying bins edges and labels\n",
    "bin_edges = [10, 20, 30, 40, 50, 60, 70]\n",
    "bin_labels = ['10-19', '20-29', '30-39', '40-49', '50-59', '60-70']\n",
    "\n",
    "# Creating bins and labels\n",
    "data['AgeGroup'] = pd.cut(data['Age'], bins=bin_edges, labels=bin_labels)\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "84a57bb3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='AgeGroup', ylabel='HeartRate'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=data, x='AgeGroup', y='HeartRate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "21d7d1c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AgeGroup\n",
       "10-19    72.730640\n",
       "20-29    75.165079\n",
       "30-39    74.956284\n",
       "40-49    76.458333\n",
       "50-59    71.931034\n",
       "60-70    79.250000\n",
       "Name: HeartRate, dtype: float64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Showing the mean Heartrate for each age group\n",
    "group_mean = data.groupby('AgeGroup')['HeartRate'].mean()\n",
    "group_mean\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "2ffd5803",
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Mean_HeartRate_Per_AgeGroup'] = data.groupby('AgeGroup')['HeartRate'].transform('mean') #Creating new column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "5b8c5f03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(data=data, x='AgeGroup', y='Mean_HeartRate_Per_AgeGroup')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "844d3f7f",
   "metadata": {},
   "source": [
    "## 4. Association between Diastolic BP and Systolic BP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "05c6c704",
   "metadata": {},
   "outputs": [],
   "source": [
    "from mlxtend.frequent_patterns import apriori, association_rules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "6a94c7c0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rule: frozenset({'high_systolic'}) -> frozenset({'high_diastolic'})\n",
      "Support: 0.11538461538461539\n",
      "Confidence: 0.9000000000000001\n",
      "Conviction: 7.278106508875749\n",
      "Lift: 3.306521739130435\n",
      "\n",
      "Rule: frozenset({'normal_diastolic'}) -> frozenset({'normal_systolic'})\n",
      "Support: 0.33530571992110453\n",
      "Confidence: 0.815347721822542\n",
      "Conviction: 2.5315453776992243\n",
      "Lift: 1.5310418332001066\n",
      "\n",
      "Rule: frozenset({'low_diastolic'}) -> frozenset({'low_systolic'})\n",
      "Support: 0.26627218934911245\n",
      "Confidence: 0.8411214953271029\n",
      "Conviction: 4.158835131685813\n",
      "Lift: 2.479352314714193\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\mlxtend\\frequent_patterns\\fpcommon.py:111: DeprecationWarning: DataFrames with non-bool types result in worse computationalperformance and their support might be discontinued in the future.Please use a DataFrame with bool type\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "# Creating binary variables for high/normal/low systolic and diastolic blood pressure\n",
    "data['high_systolic'] = data['SystolicBP'] >= 140\n",
    "data['normal_systolic'] = (data['SystolicBP'] >= 110) & (data['SystolicBP'] < 140)\n",
    "data['low_systolic'] = data['SystolicBP'] < 110\n",
    "data['high_diastolic'] = data['DiastolicBP'] >= 90\n",
    "data['normal_diastolic'] = (data['DiastolicBP'] >= 70) & (data['DiastolicBP'] < 90)\n",
    "data['low_diastolic'] = data['DiastolicBP'] < 70\n",
    "\n",
    "# Creating transactions for Apriori algorithm\n",
    "transactions = data[['high_systolic', 'normal_systolic', 'low_systolic', 'high_diastolic', 'normal_diastolic', 'low_diastolic']].astype(int)\n",
    "\n",
    "# Finding frequent itemsets using Apriori algorithm with a minimum support of 0.05\n",
    "frequent_itemsets = apriori(transactions, min_support=0.05, use_colnames=True)\n",
    "\n",
    "# Generating association rules with a minimum confidence of 0.8\n",
    "rules = association_rules(frequent_itemsets, metric=\"confidence\", min_threshold=0.8)\n",
    "\n",
    "#print support, confidence, conviction, and lift for each rule\n",
    "for index, row in rules.iterrows():\n",
    "    print(\"Rule:\", row['antecedents'], \"->\", row['consequents'])\n",
    "    print(\"Support:\", row['support'])\n",
    "    print(\"Confidence:\", row['confidence'])\n",
    "    print(\"Conviction:\", row['conviction'])\n",
    "    print(\"Lift:\", row['lift'])\n",
    "    print()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0637fa53",
   "metadata": {},
   "source": [
    "## 5. Clusters of patients with similar Systolic BP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "5a937d62",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Filter data for systolic BP\n",
    "sbp_data = data[['Age', 'SystolicBP']]\n",
    "\n",
    "# Standardize the data\n",
    "scaler = StandardScaler()\n",
    "sbp_data_scaled = scaler.fit_transform(sbp_data[['SystolicBP']])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "99d17544",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  warnings.warn(\n",
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  warnings.warn(\n",
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  warnings.warn(\n",
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  warnings.warn(\n",
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  warnings.warn(\n",
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  warnings.warn(\n",
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  warnings.warn(\n",
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  warnings.warn(\n",
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  warnings.warn(\n",
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Determining optimal number of clusters using elbow method\n",
    "wcss = []\n",
    "for i in range(1, 11):\n",
    "    kmeans = KMeans(n_clusters=i, init='k-means++', random_state=42)\n",
    "    kmeans.fit(sbp_data_scaled)\n",
    "    wcss.append(kmeans.inertia_)\n",
    "plt.plot(range(1, 11), wcss)\n",
    "plt.title('Elbow Method')\n",
    "plt.xlabel('Number of clusters')\n",
    "plt.ylabel('WCSS')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "7f13ad37",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  warnings.warn(\n",
      "C:\\Users\\Jason-Luther\\AppData\\Local\\Temp\\ipykernel_11412\\1349436976.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  sbp_data['cluster'] = kmeans.labels_\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kmeans = KMeans(n_clusters=3, init='k-means++', random_state=42)\n",
    "kmeans.fit(sbp_data_scaled)\n",
    "sbp_data['cluster'] = kmeans.labels_\n",
    "\n",
    "# Visualizing the clusters\n",
    "sns.scatterplot(data=sbp_data, x='Age', y='SystolicBP', hue='cluster', palette='bright')\n",
    "plt.title('Clusters of patients with similar Systolic BP')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "058bd4b6",
   "metadata": {},
   "source": [
    "## 6. Calculating Correlation between Age and Systolic BP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "a7e7f682",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Although this has been shown in the correlation matrix earlier, below is in reference to the question"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "a23ba0d8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correlation coefficient: 0.41604544797473325\n",
      "There is a positive correlation between age and Systolic BP.\n"
     ]
    }
   ],
   "source": [
    "# Calculate the correlation between age and Systolic BP\n",
    "corr = data[\"Age\"].corr(data[\"SystolicBP\"])\n",
    "\n",
    "# Print the correlation coefficient\n",
    "print(\"Correlation coefficient:\", corr)\n",
    "\n",
    "# Interpret the result\n",
    "if corr > 0:\n",
    "    print(\"There is a positive correlation between age and Systolic BP.\")\n",
    "elif corr < 0:\n",
    "    print(\"There is a negative correlation between age and Systolic BP.\")\n",
    "else:\n",
    "    print(\"There is no correlation between age and Systolic BP.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b64d048b",
   "metadata": {},
   "source": [
    "## Risk Level Assesment of Key Indicators"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "907f9aae",
   "metadata": {},
   "source": [
    "### Age Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "1d9101ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculating percentage by age group and risk level\n",
    "data['percent'] = data.groupby(['AgeGroup', 'RiskLevel'])['RiskLevel'].transform('count') / data.groupby('AgeGroup')['RiskLevel'].transform('count') * 100\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "0f77f974",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 609.5x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot as a stacked bar chart\n",
    "sns.catplot(x='AgeGroup', y='percent', hue='RiskLevel', kind='bar', data=data, saturation=0.75, width=0.9)\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel('Age Group')\n",
    "plt.ylabel('Percentage')\n",
    "plt.title('Percentage Risk Level by Age Group')\n",
    "\n",
    "# Show plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "3a8f2fab",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Defining range and Creating a new column for systolic blood pressure categories\n",
    "data.loc[data['SystolicBP'] >= 140, 'SystolicBP_category'] = 'high'\n",
    "data.loc[(data['SystolicBP'] >= 110) & (data['SystolicBP'] < 140), 'SystolicBP_category'] = 'normal'\n",
    "data.loc[data['SystolicBP'] < 110, 'SystolicBP_category'] = 'low'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "36dbe1b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Defining range and Creating a new column for diastolic blood pressure categories\n",
    "data.loc[data['DiastolicBP'] >= 90, 'DiastolicBP_category'] = 'high'\n",
    "data.loc[(data['DiastolicBP'] >= 70) & (data['DiastolicBP'] < 90), 'DiastolicBP_category'] = 'normal'\n",
    "data.loc[data['DiastolicBP'] < 70, 'DiastolicBP_category'] = 'low'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "1dec5bd1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Converting the dataset to a list of lists\n",
    "data_list = data[['SystolicBP_category', 'DiastolicBP_category']].values.tolist()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aca2f920",
   "metadata": {},
   "source": [
    "### Systolic Blood Pressure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "c9df4b3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate percentage by SystolicBP and risk level\n",
    "data['Systolic_percent'] = data.groupby(['SystolicBP_category', 'RiskLevel'])['RiskLevel'].transform('count') / data.groupby('SystolicBP_category')['RiskLevel'].transform('count') * 100\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "ba17cd18",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 609.5x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot as a stacked bar chart\n",
    "sns.catplot(x='SystolicBP_category', y='Systolic_percent', hue='RiskLevel', kind='bar', data=data, saturation=0.75, width=0.9)\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel('Systolic BP Category')\n",
    "plt.ylabel('Percentage')\n",
    "plt.title('Percentage Risk Level by Systolic BP Category')\n",
    "\n",
    "# Show plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9492a87a",
   "metadata": {},
   "source": [
    "### Diastolic Blood Pressure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "6f184396",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate percentage by DiastolicBP and risk level\n",
    "data['Diastolic_percent'] = data.groupby(['DiastolicBP_category', 'RiskLevel'])['RiskLevel'].transform('count') / data.groupby('DiastolicBP_category')['RiskLevel'].transform('count') * 100\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "c0e8bf6f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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48GDcvHkTV65cKfRYu3fvRk5ODqZNm5Zn/ynsrRB27tyJkJAQHDp0COvXr0fVqlXRpUsXnDhxIk/f6dOnw9LSElZWVvD09ERcXBy+++47dO7cucDxc3+eRkZGhapHqVRKryU7OxvJyckwNDSEg4PDWw+LA4X/HcjOzsbhw4fh6+uLsmXLSutXqVIF3t7eKmP++eefAIDRo0ertI8ZMwYA8hyKrVixYp7DcyYmJvDx8cHWrVshhJBe37Zt2+Dr6wsDA4PCvD30meHhvCJYsWIFqlatCi0tLZQpUwYODg7Sh0lsbCyEELC3t8933VcPsQFAuXLl8lx1FBcXBwcHhzee6xAbG4vU1FSULl063+VJSUkqzytUqJCnj5mZWaH/cbl8+TKmTp2KI0eO5PnHMzU1FcDLE4OBlx9ur9LS0spznkxsbCxiYmLynY7Pr/786Orq4vfffwcA/Pfff1iwYAGSkpIKdWLoggUL0K9fP9jY2MDFxQVt27aFv7+/SmAAXp5D0qdPH/j5+eGHH35467iFFRsbC+DlrQEKkpqaCjMzM+l8kW3btqFFixYAXh7Kq127NqpWrQrg5eFaIQS+/fZbfPvtt/mOl5SUhHLlyhWqvvv37+PZs2dwcHDIs8zJyUm6Qqx69eqFGq8o0tLSALz5H/P4+HhMmzYNe/fuzbMP5+6PSqUS3333HcaMGYMyZcqgYcOGaN++Pfz9/aXzid7k1q1baNCgQZ723EPct27dKvR9xOLi4qChoYFq1aoVqn9+3N3dVU4s79q1K+zt7TF8+HCcPXtWpe/gwYPh5+cHDQ0NmJqaonr16lAqlW8c39jYGMCbw+urcnJysGzZMqxcuRI3btxQOT/yTYcNcxX2dyAjIwPp6el5PleAvJ81t27dgoaGRp52KysrmJqaSp9RuSpWrJjvdv39/bFt2zYcO3YM7u7uOHz4MBITE9G3b9+3vi76PDFEFUH9+vULvA9OTk4OFAoF9u/fn+95Ba+fLyL3SpCcnByULl06z6X8uV4PJwWd45D7l9abpKSkwMPDA8bGxpg5cyYqV64MXV1dnDt3DhMmTJBmTIpav7OzMxYvXpzvchsbm7eOoampCS8vL+l569at4ejoiCFDhrz1ZOpu3bqhadOmCA4OxqFDh/D999/ju+++w65du1T+urW2toa1tTX+/PNPnDlzpsCfe1Hlvmfff/99gZd95+4rSqUSvr6+CA4OxsqVK5GYmIiIiAjMnTs3z3hjx44t8MTX/P4RKokuXbqE0qVLS/+ovy47OxstW7bEw4cPMWHCBDg6OsLAwAB37txB//79VfbHkSNHokOHDti9ezcOHjyIb7/9FvPmzcORI0dQp06dD/WS3gtDQ0M0aNAAe/bswdOnT1VmSOzt7VV+NwrD0dERAHDx4kX4+vq+tf/cuXPx7bff4osvvsCsWbNgbm4ODQ0NjBw5slCfCYX9HZBz37fCzu4V9PnbunVrlClTBps3b4a7uzs2b94MKyurIr+n9PlgiComlStXhhACFStWlGYJ5Ixx6tQpZGVl5Zm5erXP4cOH0bhx42K7JLegD56wsDAkJydj165dcHd3l9pfv9In9yqt69evo1mzZlL7ixcvcPPmTdSsWVOl/gsXLqBFixbFdmdna2trjBo1CjNmzMDJkyfRsGHDt/b/+uuv8fXXXyMpKQl169bFnDlzVEKUrq4u9u3bh+bNm6NNmzYIDw8vltmX3IsDjI2NC/XB3L17d2zYsAGhoaGIiYmBEEI6lAdAmkHT1tYulg96S0tL6Ovr4+rVq3mW/fPPP9DQ0ChU0C2qyMhIxMXF5bn9wasuXryIa9euYcOGDfD395faCzoZvXLlyhgzZgzGjBmD2NhY1K5dG4sWLcLmzZsBFLzf29raFvj6c5cXVuXKlZGTk4MrV64U672Scq8QTUtLe+fDTE2aNIGZmRm2bt2KyZMnv/Xk8h07dqBZs2ZYt26dSntKSorKjFlB729hfwdKly4NXV1dXL9+Pc+y19tsbW2Rk5OD2NhYacYQeHmRQEpKSqF/ZpqamujVqxcCAwPx3XffYffu3Rg0aNA7X0xCny6eE1VMOnfuDE1NTcyYMSPPLI8QAsnJyW8do0uXLnjw4AF+/PHHPMtyx+zWrRuys7Mxa9asPH1evHiBlJSUItee+yH8+rq5Hxyvvp7nz59j5cqVKv1cXV1hYWGBtWvXqlz+HxQUlOeQS7du3XDnzh2sXbs2Tx3p6el4+vRpkesHgOHDh0NfXx/z588vsE92drZ0yCdX6dKlUbZs2Xxvr2BiYoKDBw9Kt0F49TYTcrm4uKBy5cpYuHChdPjqVbn3Xsrl5eUFc3NzbNu2Ddu2bUP9+vVVDkWULl0anp6eWLNmDe7du/fW8d5GU1MTrVq1wp49e1TuYJ+YmIgtW7agSZMmBc4UyXXr1i30798fOjo6GDdu3BtrA1T3RyEEli1bptLv2bNneWYxKleuDCMjI5Wfs4GBQb6/L23btsXp06cRGRkptT19+hQ//fQT7OzsinRoztfXFxoaGpg5c2aeWZrCzAbn5+HDhzhx4gSsrKwKPKxfFPr6+pgwYQJiYmIwYcKEfOvavHkzTp8+DeDlz+H1Ptu3b89z7l1BnyuF/R3InXHevXu3yjmM169fx/79+1XWadu2LQBg6dKlKu25M97t2rXL97Xnp2/fvnj06BGGDBmCtLS0NwZ7Is5EFZPKlStj9uzZmDRpknR5v5GREW7cuIHg4GAMHjwYY8eOfeMY/v7+2LhxI0aPHo3Tp0+jadOmePr0KQ4fPoyvv/4aPj4+8PDwwJAhQzBv3jxER0ejVatW0NbWRmxsLLZv345ly5aha9euRaq9du3a0NTUxHfffYfU1FQolUo0b94cbm5uMDMzQ79+/TBixAgoFAps2rQpzweojo4OAgICMHz4cDRv3hzdunXDzZs3ERgYiMqVK6v8Rdq3b1/89ttv+N///oejR4+icePGyM7Oxj///IPffvtNundLUVlYWGDAgAFYuXIlYmJiVP4azfXkyROUL18eXbt2Ra1atWBoaIjDhw8jKioKixYtynfcUqVKISQkBE2aNIGXlxeOHz/+1vOLsrKyMHv27Dzt5ubm+Prrr/Hzzz/D29sb1atXx4ABA1CuXDncuXMHR48ehbGxsXS+F/Byhqlz58749ddf8fTpUyxcuDDPuCtWrECTJk3g7OyMQYMGoVKlSkhMTERkZCT+++8/lfv3FMbs2bOl1/z1119DS0sLa9asQWZmpsp9nOQ4d+4cNm/ejJycHKSkpCAqKgo7d+6U9q1XZy1f5+joiMqVK2Ps2LG4c+cOjI2NsXPnzjxB/dq1a2jRogW6deuGatWqQUtLC8HBwUhMTFS5I7qLiwtWrVqF2bNno0qVKihdujSaN2+OiRMnYuvWrfD29saIESNgbm6ODRs24MaNG9i5c2eRLjCoUqUKpkyZglmzZqFp06bo3LkzlEoloqKiULZsWcybN++tY+zYsQOGhoYQQuDu3btYt24dHj16hNWrVxfbbO64ceNw+fJlLFq0CEePHkXXrl1hZWWFhIQE7N69G6dPn5ZOZG/fvj1mzpyJAQMGwM3NDRcvXkRQUFCe8worV64MU1NTrF69GkZGRjAwMECDBg1QsWLFQv8OBAQE4NChQ2jcuDG++uorZGdn48cff0SNGjVUvk6mVq1a6NevH3766SfpNITTp09jw4YN8PX1VZkhf5s6depINzN1cnIq8NYnRAB4i4PCyL3FQVRU1Fv77ty5UzRp0kQYGBgIAwMD4ejoKIYOHSquXr0q9Xn1EvrXPXv2TEyZMkVUrFhRaGtrCysrK9G1a1eVy82FEOKnn34SLi4uQk9PTxgZGQlnZ2cxfvx4cffuXamPra2taNeuXZ5teHh45Lm0e+3ataJSpUpCU1NT5bLyiIgI0bBhQ6GnpyfKli0rxo8fLw4ePJjvpfLLly8Xtra2QqlUivr164uIiAjh4uIi2rRpo9Lv+fPn4rvvvhPVq1cXSqVSmJmZCRcXFzFjxgzp8vaCvOkWAnFxcUJTU1P069dPasMrtzjIzMwU48aNE7Vq1RJGRkbCwMBA1KpVS6xcuTLP+/P6z+f69evC2tpaODk5ifv377+xPuRzWToAUblyZanf+fPnRefOnYWFhYVQKpXC1tZWdOvWTYSGhuYZMyQkRAAQCoVC3L59u8DX7u/vL6ysrIS2trYoV66caN++vdixY4fUp7C3OBBCiHPnzonWrVsLQ0NDoa+vL5o1ayZOnDih0kfOLQ5yH1paWsLc3Fw0aNBATJo0Sbo9wavyq/fKlSvCy8tLGBoailKlSolBgwaJCxcuqFxK/+DBAzF06FDh6OgoDAwMhImJiWjQoIH47bffVMZPSEgQ7dq1E0ZGRnluxREXFye6du0qTE1Nha6urqhfv77Yt29fvq/pTbc4yPXLL7+IOnXqSPu7h4eHCAkJeeN7lt8tDgwMDESjRo3yvJai/CzeZMeOHaJVq1bC3NxcaGlpCWtra9G9e3cRFhYm9cnIyBBjxowR1tbWQk9PTzRu3FhERkbm+7myZ88eUa1aNemWBK++V4X9HQgNDRV16tQROjo6onLlyuLnn38WY8aMEbq6uir9srKyxIwZM6TPThsbGzFp0iSVW38IUfDn4qsWLFggAIi5c+cW4d2jz5FCCJlzykRvkZOTA0tLS3Tu3Dnfw3dERHL4+vri8uXL0pV+xW3ZsmXSTYPzu8KZKBfPiaJikZGRkecw38aNG/Hw4cM8X/tCRFRYr3+lT2xsLP7888/39rkihMC6devg4eHBAEVvxXOiqFicPHkSo0aNgp+fHywsLHDu3DmsW7cONWrUkL6bj4ioqCpVqoT+/fujUqVKuHXrFlatWgUdHR2MHz++WLfz9OlT7N27F0ePHsXFixexZ8+eYh2fPk0MUVQs7OzsYGNjg+XLl+Phw4cwNzeHv78/5s+fn+emokREhdWmTRts3boVCQkJUCqVaNSoEebOnVvgjY3lun//Pnr16gVTU1NMnjwZHTt2LNbx6dPEc6KIiIiIZOA5UUREREQyMEQRERERyfDJhyghBB4/fiz77sBERERE+fnkQ9STJ09gYmJS6G8oJyIiIiqMTz5EEREREb0PDFFEREREMjBEEREREcnAEEVEREQkA0MUERERkQwMUUREREQyMEQRERERycAQRURERCQDQxQRERGRDAxRRERERDIwRBERERHJwBBFREREJANDFBEREZEMDFFEREREMjBEEREREcnAEEVEREQkA0MUERERkQwMUUREREQyMEQRERERyaCl7gKIPhYu4zaqu4RCOfu9v7pLICL6LHAmioiIiEgGhigiIiIiGRiiiIiIiGRgiCIiIiKSgSGKiIiISAaGKCIiIiIZGKKIiIiIZGCIIiIiIpKBIYqIiIhIBoYoIiIiIhkYooiIiIhkYIgiIiIikoEhioiIiEgGhigiIiIiGRiiiIiIiGRgiCIiIiKSgSGKiIiISAaGKCIiIiIZGKKIiIiIZGCIIiIiIpKBIYqIiIhIBoYoIiIiIhkYooiIiIhkYIgiIiIikoEhioiIiEgGhigiIiIiGRiiiIiIiGRgiCIiIiKSgSGKiIiISAaGKCIiIiIZ1BqiAgICoFAoVB6Ojo7S8oyMDAwdOhQWFhYwNDREly5dkJiYqMaKiYiIiF5S+0xU9erVce/ePelx/PhxadmoUaPw+++/Y/v27QgPD8fdu3fRuXNnNVZLRERE9JKW2gvQ0oKVlVWe9tTUVKxbtw5btmxB8+bNAQDr16+Hk5MTTp48iYYNG37oUomIiIgkag9RsbGxKFu2LHR1ddGoUSPMmzcPFSpUwNmzZ5GVlQUvLy+pr6OjIypUqIDIyMgCQ1RmZiYyMzOl548fP37vr4GI6GMVP9NZ3SW8VYVpF9VdAlG+1Ho4r0GDBggMDMSBAwewatUq3LhxA02bNsWTJ0+QkJAAHR0dmJqaqqxTpkwZJCQkFDjmvHnzYGJiIj1sbGze86sgIiKiz5FaZ6K8vb2l/69ZsyYaNGgAW1tb/Pbbb9DT05M15qRJkzB69Gjp+ePHjxmkiIiIqNip/cTyV5mamqJq1aq4fv06rKys8Pz5c6SkpKj0SUxMzPccqlxKpRLGxsYqDyIiIqLiVqJCVFpaGuLi4mBtbQ0XFxdoa2sjNDRUWn716lXEx8ejUaNGaqySiIiISM2H88aOHYsOHTrA1tYWd+/exfTp06GpqYmePXvCxMQEX375JUaPHg1zc3MYGxtj+PDhaNSoEa/MIyIiIrVTa4j677//0LNnTyQnJ8PS0hJNmjTByZMnYWlpCQBYsmQJNDQ00KVLF2RmZqJ169ZYuXKlOksmIiIiAqDmEPXrr7++cbmuri5WrFiBFStWfKCKiIiIiAqnRJ0TRURERPSxYIgiIiIikoEhioiIiEgGhigiIiIiGRiiiIiIiGRgiCIiIiKSgSGKiIiISAaGKCIiIiIZGKKIiIiIZGCIIiIiIpKBIYqIiIhIBoYoIiIiIhkYooiIiIhkYIgiIiIikoEhioiIiEgGhigiIiIiGRiiiIiIiGRgiCIiIiKSgSGKiIiISAaGKCIiIiIZGKKIiIiIZGCIIiIiIpKBIYqIiIhIBoYoIiIiIhkYooiIiIhkYIgiIiIikoEhioiIiEgGhigiIiIiGRiiiIiIiGRgiCIiIiKSgSGKiIiISAaGKCIiIiIZGKKIiIiIZGCIIiIiIpKBIYqIiIhIBoYoIiIiIhkYooiIiIhkYIgiIiIikoEhioiIiEgGhigiIiIiGRiiiIiIiGRgiCIiIiKSgSGKiIiISAaGKCIiIiIZGKKIiIiIZGCIIiIiIpKBIYqIiIhIBoYoIiIiIhkYooiIiIhkYIgiIiIikkFL3QVQ4cTPdFZ3CYVSYdpFdZdARET0QXAmioiIiEgGhigiIiIiGRiiiIiIiGRgiCIiIiKSgSGKiIiISAaGKCIiIiIZGKKIiIiIZGCIIiIiIpKBIYqIiIhIBoYoIiIiIhkYooiIiIhk4HfnUbFq/ENjdZfwVhHDI9RdAhERfQJKzEzU/PnzoVAoMHLkSKktIyMDQ4cOhYWFBQwNDdGlSxckJiaqr0giIiKi/69EhKioqCisWbMGNWvWVGkfNWoUfv/9d2zfvh3h4eG4e/cuOnfurKYqiYiIiP6P2kNUWloaevfujbVr18LMzExqT01Nxbp167B48WI0b94cLi4uWL9+PU6cOIGTJ0+qsWIiIiKiEhCihg4dinbt2sHLy0ul/ezZs8jKylJpd3R0RIUKFRAZGfmhyyQiIiJSodYTy3/99VecO3cOUVFReZYlJCRAR0cHpqamKu1lypRBQkJCgWNmZmYiMzNTev748eNiq5eIiIgol9pmom7fvo1vvvkGQUFB0NXVLbZx582bBxMTE+lhY2NTbGMTERER5VJbiDp79iySkpJQt25daGlpQUtLC+Hh4Vi+fDm0tLRQpkwZPH/+HCkpKSrrJSYmwsrKqsBxJ02ahNTUVOlx+/bt9/xKiIiI6HOktsN5LVq0wMWLF1XaBgwYAEdHR0yYMAE2NjbQ1tZGaGgounTpAgC4evUq4uPj0ahRowLHVSqVUCqV77V2IiIiIrWFKCMjI9SoUUOlzcDAABYWFlL7l19+idGjR8Pc3BzGxsYYPnw4GjVqhIYNG6qjZCIiIiJJib5j+ZIlS6ChoYEuXbogMzMTrVu3xsqVK9VdFhEREVHJClFhYWEqz3V1dbFixQqsWLFCPQURERERFUDt94kiIiIi+hgxRBERERHJwBBFREREJANDFBEREZEMDFFEREREMjBEEREREcnAEEVEREQkA0MUERERkQwMUUREREQyMEQRERERycAQRURERCQDQxQRERGRDAxRRERERDIwRBERERHJwBBFREREJANDFBEREZEMDFFEREREMjBEEREREcnAEEVEREQkA0MUERERkQwMUUREREQyMEQRERERycAQRURERCQDQxQRERGRDAxRRERERDIwRBERERHJwBBFREREJANDFBEREZEMDFFEREREMjBEEREREcnAEEVEREQkA0MUERERkQwMUUREREQyMEQRERERycAQRURERCQDQxQRERGRDAxRRERERDIwRBERERHJwBBFREREJIOWugsgIiJ6k8Y/NFZ3CYUSMTxC3SXQB8aZKCIiIiIZGKKIiIiIZJAdolJSUvDzzz9j0qRJePjwIQDg3LlzuHPnTrEVR0RERFRSyTon6u+//4aXlxdMTExw8+ZNDBo0CObm5ti1axfi4+OxcePG4q6TiIiIqESRNRM1evRo9O/fH7GxsdDV1ZXa27Zti7/++qvYiiMiIiIqqWSFqKioKAwZMiRPe7ly5ZCQkPDORRERERGVdLJClFKpxOPHj/O0X7t2DZaWlu9cFBEREVFJJytEdezYETNnzkRWVhYAQKFQID4+HhMmTECXLl2KtUAiIiKikkhWiFq0aBHS0tJQunRppKenw8PDA1WqVIGRkRHmzJlT3DUSERERlTiyrs4zMTFBSEgIjh8/jr///htpaWmoW7cuvLy8irs+IiIiohLpnW622aRJE3z99dcYP348AxQREVEJd/PmTSgUCkRHRxdrX3UJCwuDQqFASkqKWrYvayZq+fLl+bYrFAro6uqiSpUqcHd3h6am5jsVR0RERIXXv39/bNiwAQCgpaWF8uXLw8/PDzNnzoSuri5sbGxw7949lCpVqli2Z2dnh5EjR2LkyJHFMt7HRlaIWrJkCe7fv49nz57BzMwMAPDo0SPo6+vD0NAQSUlJqFSpEo4ePQobG5tiLZiIiIgK1qZNG6xfvx5ZWVk4e/Ys+vXrB4VCge+++w6ampqwsrJSd4mfDFmH8+bOnYt69eohNjYWycnJSE5OxrVr19CgQQMsW7YM8fHxsLKywqhRo4q7XiIiInoDpVIJKysr2NjYwNfXF15eXggJCQGQ9xDdo0eP0Lt3b1haWkJPTw/29vZYv359vuNmZ2fjiy++gKOjI+Lj4wtVy549e1C3bl3o6uqiUqVKmDFjBl68eAEA6NWrF7p3767SPysrC6VKlZK++SQnJwfz5s1DxYoVoaenh1q1amHHjh1y3pb3QtZM1NSpU7Fz505UrlxZaqtSpQoWLlyILl264N9//8WCBQt4uwMiIiI1unTpEk6cOAFbW9t8l3/77be4cuUK9u/fj1KlSuH69etIT0/P0y8zMxM9e/bEzZs3cezYsULdE/LYsWPw9/fH8uXL0bRpU8TFxWHw4MEAgOnTp6N3797w8/NDWloaDA0NAQAHDx7Es2fP0KlTJwDAvHnzsHnzZqxevRr29vb466+/0KdPH1haWsLDw0Pu21JsZIWoe/fuSUnyVS9evJDuWF62bFk8efLk3aojIiKiItm3bx8MDQ3x4sULZGZmQkNDAz/++GO+fePj41GnTh24uroCeHmO0+vS0tLQrl07ZGZm4ujRozAxMSlUHTNmzMDEiRPRr18/AEClSpUwa9YsjB8/HtOnT0fr1q1hYGCA4OBg9O3bFwCwZcsWdOzYEUZGRsjMzMTcuXNx+PBhNGrUSBrj+PHjWLNmzccbopo1a4YhQ4bg559/Rp06dQAA58+fx1dffYXmzZsDAC5evIiKFSsWX6VERET0Vs2aNcOqVavw9OlTLFmyBFpaWgUeGfrqq6/QpUsXnDt3Dq1atYKvry/c3NxU+vTs2RPly5fHkSNHoKenV+g6Lly4gIiICJX7R2ZnZyMjIwPPnj2Dvr4+unXrhqCgIPTt2xdPnz7Fnj178OuvvwIArl+/jmfPnqFly5Yq4z5//lzKHuomK0StW7cOffv2hYuLC7S1tQG8nIVq0aIF1q1bBwAwNDTEokWLiq9SIiIieisDAwNUqVIFAPDLL7+gVq1aWLduHb788ss8fb29vXHr1i38+eefCAkJQYsWLTB06FAsXLhQ6tO2bVts3rwZkZGR0kRJYaSlpWHGjBno3LlznmW6uroAgN69e8PDwwNJSUkICQmBnp4e2rRpI60PAH/88QfKlSunsr5SqSx0He+TrBBlZWWFkJAQ/PPPP7h27RoAwMHBAQ4ODlKfZs2aFU+FREREJIuGhgYmT56M0aNHo1evXvn2sbS0RL9+/dCvXz80bdoU48aNUwlRX331FWrUqIGOHTvijz/+KPRhtLp16+Lq1atSoMuPm5sbbGxssG3bNuzfvx9+fn7S5Ey1atWgVCoRHx9fIg7d5UdWiMrl6OgIR0fH4qqFiIiIipmfnx/GjRuHFStWoGvXrirLpk2bBhcXF1SvXh2ZmZnYt28fnJyc8owxfPhwZGdno3379ti/fz+aNGkiLbtz506eG3La2tpi2rRpaN++PSpUqICuXbtCQ0MDFy5cwKVLlzB79mypb69evbB69Wpcu3YNR48eldqNjIwwduxYjBo1Cjk5OWjSpAlSU1MREREBY2Nj6VwrdZIdov777z/s3bsX8fHxeP78ucqyxYsXv3NhRERE9O60tLQwbNgwLFiwAN7e3irLdHR0MGnSJNy8eRN6enpo2rSpdE7S60aOHImcnBy0bdsWBw4ckM6dWrhwocrMFQBs2rQJffr0wb59+zBz5kx899130NbWhqOjIwYOHKjSt3fv3pgzZw5sbW3RuHFjlWWzZs2CpaUl5s2bh3///RempqaoW7cuJk+e/K5vS7FQCCFEUVcKDQ1Fx44dUalSJfzzzz+oUaMGbt68CSEE6tatiyNHjryPWmV5/PgxTExMkJqaCmNjY3WXI1v8TGd1l1AoPc1K/nscMTxC1nou4zYWcyXvx9nv/dVdAn1EPobPlo/hcwWQ/9lCHy9ZN9ucNGkSxo4di4sXL0JXVxc7d+7E7du34eHhAT8/v+KukYiIiKjEkRWiYmJi4O//8q9dLS0tpKenw9DQUJqyIyIiIvrUyQpRBgYG0nlQ1tbWiIuLk5Y9ePCg0OOsWrUKNWvWhLGxMYyNjdGoUSPs379fWp6RkYGhQ4fCwsIChoaG6NKlCxITE+WUTERERFSsZIWohg0b4vjx4wBe3j9izJgxmDNnDr744gs0bNiw0OOUL18e8+fPx9mzZ3HmzBk0b94cPj4+uHz5MgBg1KhR+P3337F9+3aEh4fj7t27+d5vgoiIiOhDk3V13uLFi6WbYM2YMQNpaWnYtm0b7O3ti3RlXocOHVSez5kzB6tWrcLJkydRvnx5rFu3Dlu2bJFu7rV+/Xo4OTnh5MmTRQprRERERMVNVoiqVKmS9P8GBgZYvXr1OxeSnZ2N7du34+nTp2jUqBHOnj2LrKwseHl5SX0cHR1RoUIFREZGFhiiMjMzkZmZKT1//PjxO9dGRERE9DpZh/MqVaqE5OTkPO0pKSkqAaswLl68CENDQyiVSvzvf/9DcHAwqlWrhoSEBOjo6MDU1FSlf5kyZaQvOc7PvHnzYGJiIj1sbGyKVA8RERFRYcgKUTdv3kR2dnae9szMTNy5c6dIYzk4OCA6OhqnTp3CV199hX79+uHKlStyygLw8vYLqamp0uP27duyxyIiIiIqSJEO5+3du1f6/4MHD8LExER6np2djdDQUNjZ2RWpAB0dHel7dVxcXBAVFYVly5ahe/fueP78OVJSUlRmoxITE2FlZVXgeEqlssR8MSERERF9uoo0E+Xr6wtfX18oFAr069dPeu7r64sePXogJCQEixYteqeCcnJykJmZCRcXF2hrayM0NFRadvXqVcTHx6NRo0bvtA0iIiIqPE9PT4wcOfKNfRQKBXbv3l3oMcPCwqBQKJCSkvJOtQFAYGBgntN/iqPv2xRpJionJwcAULFiRURFRaFUqVLvtPFJkybB29sbFSpUwJMnT7BlyxaEhYVJs1xffvklRo8eDXNzcxgbG2P48OFo1KgRr8wjIqJPyof+Wqn38fVQ9+7dg5mZWbGPWxjdu3dH27ZtP/h2ZV2dd+PGjWLZeFJSEvz9/XHv3j2YmJigZs2aOHjwIFq2bAkAWLJkCTQ0NNClSxdkZmaidevWWLlyZbFsm4iIiIrPm061eZ+ysrKgp6cHPT29D75tWSeWAy+/hHjy5MkYOHAgvvjiC5VHYa1btw43b95EZmYmkpKScPjwYSlAAYCuri5WrFiBhw8f4unTp9i1a5fafkhERESfs5ycHIwfPx7m5uawsrJCQECAyvLXD+edOHECtWvXhq6uLlxdXbF7924oFApER0errHf27Fm4urpCX18fbm5uuHr1aoE13Lx5EwqFAtu2bYOHhwd0dXURFBSU5xDdhQsX0KxZMxgZGcHY2BguLi44c+ZMvmPev38frq6u6NSpk8otkgpDVoiaMWMGWrVqhdDQUDx48ACPHj1SeRAREdGnZcOGDTAwMMCpU6ewYMECzJw5EyEhIfn2ffz4MTp06ABnZ2ecO3cOs2bNwoQJE/LtO2XKFCxatAhnzpyBlpZWoSZjJk6ciG+++QYxMTFo3bp1nuW9e/dG+fLlERUVhbNnz2LixInQ1tbO0+/27dto2rQpatSogR07dhT5wjRZh/NWr16NwMBA9O3bV87qRERE9JGpWbMmpk+fDgCwt7fHjz/+iNDQUJUjSLm2bNkChUKBtWvXQldXF9WqVcOdO3cwaNCgPH3nzJkDDw8PAC/DUbt27ZCRkQFdXd0Caxk5cuQbvwYuPj4e48aNg6Ojo1Tv665evYqWLVuiU6dOWLp0KRQKxZvfgHzImol6/vw53Nzc5KxKREREH6GaNWuqPLe2tkZSUlK+fa9evYqaNWuqBKH69eu/dVxra2sAKHDcXK6urm9cPnr0aAwcOBBeXl6YP38+4uLiVJanp6ejadOm6Ny5M5YtWyYrQAEyQ9TAgQOxZcsWWRskIiKij8/rh8MUCoV01X5xjZsbZt42roGBwRuXBwQE4PLly2jXrh2OHDmCatWqITg4WFquVCrh5eWFffv2Ffkm4a+SdTgvIyMDP/30Ew4fPoyaNWvmeWOL8iXERERE9GlxcHDA5s2bkZmZKZ1nFBUV9UFrqFq1KqpWrYpRo0ahZ8+eWL9+PTp16gQA0NDQwKZNm9CrVy80a9YMYWFhKFu2bJG3IWsm6u+//0bt2rWhoaGBS5cu4fz589Lj9bPuiYiI6PPSq1cv5OTkYPDgwYiJicHBgwexcOFCAJB96Kyw0tPTMWzYMISFheHWrVuIiIhAVFQUnJycVPppamoiKCgItWrVQvPmzd/4vbwFkTUTdfToUTmrERERUT7ex80v1cnY2Bi///47vvrqK9SuXRvOzs6YNm0aevXq9cYTxouDpqYmkpOT4e/vj8TERJQqVQqdO3fGjBkz8vTV0tLC1q1b0b17dzRv3hxhYWEoXbp0obelEEIIuYVev34dcXFxcHd3h56eHoQQ7z1hFtXjx49hYmKC1NRUGBsbq7sc2eJnOqu7hELpaVby3+OI4RGy1vvQdxSW61P7MKb362P4bPkYPlcA+Z8tn4ugoCAMGDAAqamparkx5vsgayYqOTkZ3bp1w9GjR6FQKBAbG4tKlSrhyy+/hJmZ2Tt/fx4RERF93DZu3IhKlSqhXLlyuHDhAiZMmIBu3bp9MgEKkHlO1KhRo6CtrY34+Hjo6+tL7d27d8eBAweKrTgiIiL6OCUkJKBPnz5wcnLCqFGj4Ofnh59++kndZRUrWTNRhw4dwsGDB1G+fHmVdnt7e9y6datYCiMiIqKP1/jx4zF+/Hh1l/FeyZqJevr0qcoMVK6HDx8W+ZbpRERERB8jWSGqadOm2Ljx/06yzb3h1oIFC9CsWbNiK46IiIiopJJ1OG/BggVo0aIFzpw5g+fPn2P8+PG4fPkyHj58iIgIXp1AREREnz5ZM1E1atTAtWvX0KRJE/j4+ODp06fo3Lkzzp8/j8qVKxd3jUREREQljqyZKAAwMTHBlClTirMWIiIioo+GrJmo9evXY/v27Xnat2/fjg0bNrxzUUREREQlnawQNW/ePJQqVSpPe+nSpTF37tx3LoqIiIhKDk9PT4wcOVLdZcDOzg5Lly4t9r5yyTqcFx8fj4oVK+Zpt7W1RXx8/DsXRURE9Dn50F+/U2HaxQ+6veISFRUFAwMDdZchkTUTVbp0afz999952i9cuAALC4t3LoqIiIgo1/PnzwEAlpaW+d6nUl1khaiePXtixIgROHr0KLKzs5GdnY0jR47gm2++QY8ePYq7RiIiIipBHj16BH9/f5iZmUFfXx/e3t6IjY0FAAghYGlpiR07dkj9a9euDWtra+n58ePHoVQq8ezZs3zH79+/P3x9fTFnzhyULVsWDg4OAFQP0QkhEBAQgAoVKkCpVKJs2bIYMWJEgTX//PPPMDU1RWho6Lu+fImsw3mzZs3CzZs30aJFC2hpvRwiJycH/v7+PCeKiIjoE9e/f3/ExsZi7969MDY2xoQJE9C2bVtcuXIF2tracHd3R1hYGLp27YpHjx4hJiYGenp6+Oeff+Do6Ijw8HDUq1fvjbNKoaGhMDY2RkhISL7Ld+7ciSVLluDXX39F9erVkZCQgAsXLuTbd8GCBViwYAEOHTqE+vXrF8t7AMgIUUIIJCQkIDAwELNnz0Z0dDT09PTg7OwMW1vbYiuMiIiISp7c8BQREQE3NzcAQFBQEGxsbLB79274+fnB09MTa9asAQD89ddfqFOnDqysrBAWFgZHR0eEhYXBw8PjjdsxMDDAzz//DB0dnXyXx8fHw8rKCl5eXtDW1kaFChXyDUgTJkzApk2bEB4ejurVq7/jq1dV5MN5QghUqVIF//33H+zt7eHn54f27dszQBEREX0GYmJioKWlhQYNGkhtFhYWcHBwQExMDADAw8MDV65cwf379xEeHg5PT094enoiLCwMWVlZOHHiBDw9Pd+4HWdn5wIDFAD4+fkhPT0dlSpVwqBBgxAcHIwXL16o9Fm0aBHWrl2L48ePF3uAAmSEKA0NDdjb2yM5ObnYiyEiIqKPn7OzM8zNzREeHq4SosLDwxE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\n",
      "text/plain": [
       "<Figure size 609.5x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot as a stacked bar chart\n",
    "sns.catplot(x='DiastolicBP_category', y='Diastolic_percent', hue='RiskLevel', kind='bar', data=data, saturation=0.75, width=0.9)\n",
    "\n",
    "# Add labels and title\n",
    "plt.xlabel('Diastolic BP Category')\n",
    "plt.ylabel('Percentage')\n",
    "plt.title('Percentage Risk Level of Diastolic BP Category')\n",
    "\n",
    "# Show plot\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}