Parkinsons project_V1_2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6d9c7369",
   "metadata": {},
   "source": [
    "# 1.Data Preprocessing"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77869f6b",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "<b>Load dataset and import librairies\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c06c9da7",
   "metadata": {},
   "source": [
    "### Import NumPy for numerical calculation, Pandas for handling data and visualization with Seaborn and Matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5eda8d39",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "from pylab import rcParams\n",
    "rcParams['figure.figsize']=(12,6)\n",
    "sns.set\n",
    "def warn(*args, **kwargs):\n",
    "    pass\n",
    "import warnings\n",
    "warnings.warn = warn\n",
    "warnings.filterwarnings(\"ignore\", category=DeprecationWarning)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21186898",
   "metadata": {},
   "source": [
    "### Import the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "c1b24714",
   "metadata": {},
   "outputs": [],
   "source": [
    "parkinsons_data=pd.read_csv('parkinsons.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "4e3a01c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(195, 24)"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Using shape function, we can observe the dimensions of the data\n",
    "parkinsons_data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f09c586",
   "metadata": {},
   "source": [
    "<font color='green'>There are 24 columns and 195 observations</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "ec5785ce",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>MDVP:Fo(Hz)</th>\n",
       "      <th>MDVP:Fhi(Hz)</th>\n",
       "      <th>MDVP:Flo(Hz)</th>\n",
       "      <th>MDVP:Jitter(%)</th>\n",
       "      <th>MDVP:Jitter(Abs)</th>\n",
       "      <th>MDVP:RAP</th>\n",
       "      <th>MDVP:PPQ</th>\n",
       "      <th>Jitter:DDP</th>\n",
       "      <th>MDVP:Shimmer</th>\n",
       "      <th>...</th>\n",
       "      <th>Shimmer:DDA</th>\n",
       "      <th>NHR</th>\n",
       "      <th>HNR</th>\n",
       "      <th>status</th>\n",
       "      <th>RPDE</th>\n",
       "      <th>DFA</th>\n",
       "      <th>spread1</th>\n",
       "      <th>spread2</th>\n",
       "      <th>D2</th>\n",
       "      <th>PPE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>phon_R01_S01_1</td>\n",
       "      <td>119.992</td>\n",
       "      <td>157.302</td>\n",
       "      <td>74.997</td>\n",
       "      <td>0.00784</td>\n",
       "      <td>0.00007</td>\n",
       "      <td>0.00370</td>\n",
       "      <td>0.00554</td>\n",
       "      <td>0.01109</td>\n",
       "      <td>0.04374</td>\n",
       "      <td>...</td>\n",
       "      <td>0.06545</td>\n",
       "      <td>0.02211</td>\n",
       "      <td>21.033</td>\n",
       "      <td>1</td>\n",
       "      <td>0.414783</td>\n",
       "      <td>0.815285</td>\n",
       "      <td>-4.813031</td>\n",
       "      <td>0.266482</td>\n",
       "      <td>2.301442</td>\n",
       "      <td>0.284654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>phon_R01_S01_2</td>\n",
       "      <td>122.400</td>\n",
       "      <td>148.650</td>\n",
       "      <td>113.819</td>\n",
       "      <td>0.00968</td>\n",
       "      <td>0.00008</td>\n",
       "      <td>0.00465</td>\n",
       "      <td>0.00696</td>\n",
       "      <td>0.01394</td>\n",
       "      <td>0.06134</td>\n",
       "      <td>...</td>\n",
       "      <td>0.09403</td>\n",
       "      <td>0.01929</td>\n",
       "      <td>19.085</td>\n",
       "      <td>1</td>\n",
       "      <td>0.458359</td>\n",
       "      <td>0.819521</td>\n",
       "      <td>-4.075192</td>\n",
       "      <td>0.335590</td>\n",
       "      <td>2.486855</td>\n",
       "      <td>0.368674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>phon_R01_S01_3</td>\n",
       "      <td>116.682</td>\n",
       "      <td>131.111</td>\n",
       "      <td>111.555</td>\n",
       "      <td>0.01050</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.00544</td>\n",
       "      <td>0.00781</td>\n",
       "      <td>0.01633</td>\n",
       "      <td>0.05233</td>\n",
       "      <td>...</td>\n",
       "      <td>0.08270</td>\n",
       "      <td>0.01309</td>\n",
       "      <td>20.651</td>\n",
       "      <td>1</td>\n",
       "      <td>0.429895</td>\n",
       "      <td>0.825288</td>\n",
       "      <td>-4.443179</td>\n",
       "      <td>0.311173</td>\n",
       "      <td>2.342259</td>\n",
       "      <td>0.332634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>phon_R01_S01_4</td>\n",
       "      <td>116.676</td>\n",
       "      <td>137.871</td>\n",
       "      <td>111.366</td>\n",
       "      <td>0.00997</td>\n",
       "      <td>0.00009</td>\n",
       "      <td>0.00502</td>\n",
       "      <td>0.00698</td>\n",
       "      <td>0.01505</td>\n",
       "      <td>0.05492</td>\n",
       "      <td>...</td>\n",
       "      <td>0.08771</td>\n",
       "      <td>0.01353</td>\n",
       "      <td>20.644</td>\n",
       "      <td>1</td>\n",
       "      <td>0.434969</td>\n",
       "      <td>0.819235</td>\n",
       "      <td>-4.117501</td>\n",
       "      <td>0.334147</td>\n",
       "      <td>2.405554</td>\n",
       "      <td>0.368975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>phon_R01_S01_5</td>\n",
       "      <td>116.014</td>\n",
       "      <td>141.781</td>\n",
       "      <td>110.655</td>\n",
       "      <td>0.01284</td>\n",
       "      <td>0.00011</td>\n",
       "      <td>0.00655</td>\n",
       "      <td>0.00908</td>\n",
       "      <td>0.01966</td>\n",
       "      <td>0.06425</td>\n",
       "      <td>...</td>\n",
       "      <td>0.10470</td>\n",
       "      <td>0.01767</td>\n",
       "      <td>19.649</td>\n",
       "      <td>1</td>\n",
       "      <td>0.417356</td>\n",
       "      <td>0.823484</td>\n",
       "      <td>-3.747787</td>\n",
       "      <td>0.234513</td>\n",
       "      <td>2.332180</td>\n",
       "      <td>0.410335</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             name  MDVP:Fo(Hz)  MDVP:Fhi(Hz)  MDVP:Flo(Hz)  MDVP:Jitter(%)  \\\n",
       "0  phon_R01_S01_1      119.992       157.302        74.997         0.00784   \n",
       "1  phon_R01_S01_2      122.400       148.650       113.819         0.00968   \n",
       "2  phon_R01_S01_3      116.682       131.111       111.555         0.01050   \n",
       "3  phon_R01_S01_4      116.676       137.871       111.366         0.00997   \n",
       "4  phon_R01_S01_5      116.014       141.781       110.655         0.01284   \n",
       "\n",
       "   MDVP:Jitter(Abs)  MDVP:RAP  MDVP:PPQ  Jitter:DDP  MDVP:Shimmer  ...  \\\n",
       "0           0.00007   0.00370   0.00554     0.01109       0.04374  ...   \n",
       "1           0.00008   0.00465   0.00696     0.01394       0.06134  ...   \n",
       "2           0.00009   0.00544   0.00781     0.01633       0.05233  ...   \n",
       "3           0.00009   0.00502   0.00698     0.01505       0.05492  ...   \n",
       "4           0.00011   0.00655   0.00908     0.01966       0.06425  ...   \n",
       "\n",
       "   Shimmer:DDA      NHR     HNR  status      RPDE       DFA   spread1  \\\n",
       "0      0.06545  0.02211  21.033       1  0.414783  0.815285 -4.813031   \n",
       "1      0.09403  0.01929  19.085       1  0.458359  0.819521 -4.075192   \n",
       "2      0.08270  0.01309  20.651       1  0.429895  0.825288 -4.443179   \n",
       "3      0.08771  0.01353  20.644       1  0.434969  0.819235 -4.117501   \n",
       "4      0.10470  0.01767  19.649       1  0.417356  0.823484 -3.747787   \n",
       "\n",
       "    spread2        D2       PPE  \n",
       "0  0.266482  2.301442  0.284654  \n",
       "1  0.335590  2.486855  0.368674  \n",
       "2  0.311173  2.342259  0.332634  \n",
       "3  0.334147  2.405554  0.368975  \n",
       "4  0.234513  2.332180  0.410335  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We can observe the dataset using the head()function, which returns the first five records from the dataset\n",
    "parkinsons_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2aa8ce77",
   "metadata": {},
   "source": [
    "<font color='green'>This project is a classification problem, from which we predict the binary variable \"status\" which can either be ill with Parkinson disease or not </font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "4d464d5b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 195 entries, 0 to 194\n",
      "Data columns (total 24 columns):\n",
      " #   Column            Non-Null Count  Dtype  \n",
      "---  ------            --------------  -----  \n",
      " 0   name              195 non-null    object \n",
      " 1   MDVP:Fo(Hz)       195 non-null    float64\n",
      " 2   MDVP:Fhi(Hz)      195 non-null    float64\n",
      " 3   MDVP:Flo(Hz)      195 non-null    float64\n",
      " 4   MDVP:Jitter(%)    195 non-null    float64\n",
      " 5   MDVP:Jitter(Abs)  195 non-null    float64\n",
      " 6   MDVP:RAP          195 non-null    float64\n",
      " 7   MDVP:PPQ          195 non-null    float64\n",
      " 8   Jitter:DDP        195 non-null    float64\n",
      " 9   MDVP:Shimmer      195 non-null    float64\n",
      " 10  MDVP:Shimmer(dB)  195 non-null    float64\n",
      " 11  Shimmer:APQ3      195 non-null    float64\n",
      " 12  Shimmer:APQ5      195 non-null    float64\n",
      " 13  MDVP:APQ          195 non-null    float64\n",
      " 14  Shimmer:DDA       195 non-null    float64\n",
      " 15  NHR               195 non-null    float64\n",
      " 16  HNR               195 non-null    float64\n",
      " 17  status            195 non-null    int64  \n",
      " 18  RPDE              195 non-null    float64\n",
      " 19  DFA               195 non-null    float64\n",
      " 20  spread1           195 non-null    float64\n",
      " 21  spread2           195 non-null    float64\n",
      " 22  D2                195 non-null    float64\n",
      " 23  PPE               195 non-null    float64\n",
      "dtypes: float64(22), int64(1), object(1)\n",
      "memory usage: 36.7+ KB\n"
     ]
    }
   ],
   "source": [
    "# The info() method shows some of the characteristics of the data \n",
    "parkinsons_data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b26c03d6",
   "metadata": {},
   "source": [
    "<font color='green'>We can see that we have mainly float or numeric data except for \"name\" and \"status\" columns</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d2d7e694",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "<b>Statistical insights\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "4c19f33d",
   "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>MDVP:Fo(Hz)</th>\n",
       "      <th>MDVP:Fhi(Hz)</th>\n",
       "      <th>MDVP:Flo(Hz)</th>\n",
       "      <th>MDVP:Jitter(%)</th>\n",
       "      <th>MDVP:Jitter(Abs)</th>\n",
       "      <th>MDVP:RAP</th>\n",
       "      <th>MDVP:PPQ</th>\n",
       "      <th>Jitter:DDP</th>\n",
       "      <th>MDVP:Shimmer</th>\n",
       "      <th>MDVP:Shimmer(dB)</th>\n",
       "      <th>...</th>\n",
       "      <th>Shimmer:DDA</th>\n",
       "      <th>NHR</th>\n",
       "      <th>HNR</th>\n",
       "      <th>status</th>\n",
       "      <th>RPDE</th>\n",
       "      <th>DFA</th>\n",
       "      <th>spread1</th>\n",
       "      <th>spread2</th>\n",
       "      <th>D2</th>\n",
       "      <th>PPE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>195.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>154.228641</td>\n",
       "      <td>197.104918</td>\n",
       "      <td>116.324631</td>\n",
       "      <td>0.006220</td>\n",
       "      <td>0.000044</td>\n",
       "      <td>0.003306</td>\n",
       "      <td>0.003446</td>\n",
       "      <td>0.009920</td>\n",
       "      <td>0.029709</td>\n",
       "      <td>0.282251</td>\n",
       "      <td>...</td>\n",
       "      <td>0.046993</td>\n",
       "      <td>0.024847</td>\n",
       "      <td>21.885974</td>\n",
       "      <td>0.753846</td>\n",
       "      <td>0.498536</td>\n",
       "      <td>0.718099</td>\n",
       "      <td>-5.684397</td>\n",
       "      <td>0.226510</td>\n",
       "      <td>2.381826</td>\n",
       "      <td>0.206552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>41.390065</td>\n",
       "      <td>91.491548</td>\n",
       "      <td>43.521413</td>\n",
       "      <td>0.004848</td>\n",
       "      <td>0.000035</td>\n",
       "      <td>0.002968</td>\n",
       "      <td>0.002759</td>\n",
       "      <td>0.008903</td>\n",
       "      <td>0.018857</td>\n",
       "      <td>0.194877</td>\n",
       "      <td>...</td>\n",
       "      <td>0.030459</td>\n",
       "      <td>0.040418</td>\n",
       "      <td>4.425764</td>\n",
       "      <td>0.431878</td>\n",
       "      <td>0.103942</td>\n",
       "      <td>0.055336</td>\n",
       "      <td>1.090208</td>\n",
       "      <td>0.083406</td>\n",
       "      <td>0.382799</td>\n",
       "      <td>0.090119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>88.333000</td>\n",
       "      <td>102.145000</td>\n",
       "      <td>65.476000</td>\n",
       "      <td>0.001680</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0.000680</td>\n",
       "      <td>0.000920</td>\n",
       "      <td>0.002040</td>\n",
       "      <td>0.009540</td>\n",
       "      <td>0.085000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013640</td>\n",
       "      <td>0.000650</td>\n",
       "      <td>8.441000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.256570</td>\n",
       "      <td>0.574282</td>\n",
       "      <td>-7.964984</td>\n",
       "      <td>0.006274</td>\n",
       "      <td>1.423287</td>\n",
       "      <td>0.044539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>117.572000</td>\n",
       "      <td>134.862500</td>\n",
       "      <td>84.291000</td>\n",
       "      <td>0.003460</td>\n",
       "      <td>0.000020</td>\n",
       "      <td>0.001660</td>\n",
       "      <td>0.001860</td>\n",
       "      <td>0.004985</td>\n",
       "      <td>0.016505</td>\n",
       "      <td>0.148500</td>\n",
       "      <td>...</td>\n",
       "      <td>0.024735</td>\n",
       "      <td>0.005925</td>\n",
       "      <td>19.198000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.421306</td>\n",
       "      <td>0.674758</td>\n",
       "      <td>-6.450096</td>\n",
       "      <td>0.174351</td>\n",
       "      <td>2.099125</td>\n",
       "      <td>0.137451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>148.790000</td>\n",
       "      <td>175.829000</td>\n",
       "      <td>104.315000</td>\n",
       "      <td>0.004940</td>\n",
       "      <td>0.000030</td>\n",
       "      <td>0.002500</td>\n",
       "      <td>0.002690</td>\n",
       "      <td>0.007490</td>\n",
       "      <td>0.022970</td>\n",
       "      <td>0.221000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.038360</td>\n",
       "      <td>0.011660</td>\n",
       "      <td>22.085000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.495954</td>\n",
       "      <td>0.722254</td>\n",
       "      <td>-5.720868</td>\n",
       "      <td>0.218885</td>\n",
       "      <td>2.361532</td>\n",
       "      <td>0.194052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>182.769000</td>\n",
       "      <td>224.205500</td>\n",
       "      <td>140.018500</td>\n",
       "      <td>0.007365</td>\n",
       "      <td>0.000060</td>\n",
       "      <td>0.003835</td>\n",
       "      <td>0.003955</td>\n",
       "      <td>0.011505</td>\n",
       "      <td>0.037885</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.060795</td>\n",
       "      <td>0.025640</td>\n",
       "      <td>25.075500</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.587562</td>\n",
       "      <td>0.761881</td>\n",
       "      <td>-5.046192</td>\n",
       "      <td>0.279234</td>\n",
       "      <td>2.636456</td>\n",
       "      <td>0.252980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>260.105000</td>\n",
       "      <td>592.030000</td>\n",
       "      <td>239.170000</td>\n",
       "      <td>0.033160</td>\n",
       "      <td>0.000260</td>\n",
       "      <td>0.021440</td>\n",
       "      <td>0.019580</td>\n",
       "      <td>0.064330</td>\n",
       "      <td>0.119080</td>\n",
       "      <td>1.302000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.169420</td>\n",
       "      <td>0.314820</td>\n",
       "      <td>33.047000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.685151</td>\n",
       "      <td>0.825288</td>\n",
       "      <td>-2.434031</td>\n",
       "      <td>0.450493</td>\n",
       "      <td>3.671155</td>\n",
       "      <td>0.527367</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       MDVP:Fo(Hz)  MDVP:Fhi(Hz)  MDVP:Flo(Hz)  MDVP:Jitter(%)  \\\n",
       "count   195.000000    195.000000    195.000000      195.000000   \n",
       "mean    154.228641    197.104918    116.324631        0.006220   \n",
       "std      41.390065     91.491548     43.521413        0.004848   \n",
       "min      88.333000    102.145000     65.476000        0.001680   \n",
       "25%     117.572000    134.862500     84.291000        0.003460   \n",
       "50%     148.790000    175.829000    104.315000        0.004940   \n",
       "75%     182.769000    224.205500    140.018500        0.007365   \n",
       "max     260.105000    592.030000    239.170000        0.033160   \n",
       "\n",
       "       MDVP:Jitter(Abs)    MDVP:RAP    MDVP:PPQ  Jitter:DDP  MDVP:Shimmer  \\\n",
       "count        195.000000  195.000000  195.000000  195.000000    195.000000   \n",
       "mean           0.000044    0.003306    0.003446    0.009920      0.029709   \n",
       "std            0.000035    0.002968    0.002759    0.008903      0.018857   \n",
       "min            0.000007    0.000680    0.000920    0.002040      0.009540   \n",
       "25%            0.000020    0.001660    0.001860    0.004985      0.016505   \n",
       "50%            0.000030    0.002500    0.002690    0.007490      0.022970   \n",
       "75%            0.000060    0.003835    0.003955    0.011505      0.037885   \n",
       "max            0.000260    0.021440    0.019580    0.064330      0.119080   \n",
       "\n",
       "       MDVP:Shimmer(dB)  ...  Shimmer:DDA         NHR         HNR      status  \\\n",
       "count        195.000000  ...   195.000000  195.000000  195.000000  195.000000   \n",
       "mean           0.282251  ...     0.046993    0.024847   21.885974    0.753846   \n",
       "std            0.194877  ...     0.030459    0.040418    4.425764    0.431878   \n",
       "min            0.085000  ...     0.013640    0.000650    8.441000    0.000000   \n",
       "25%            0.148500  ...     0.024735    0.005925   19.198000    1.000000   \n",
       "50%            0.221000  ...     0.038360    0.011660   22.085000    1.000000   \n",
       "75%            0.350000  ...     0.060795    0.025640   25.075500    1.000000   \n",
       "max            1.302000  ...     0.169420    0.314820   33.047000    1.000000   \n",
       "\n",
       "             RPDE         DFA     spread1     spread2          D2         PPE  \n",
       "count  195.000000  195.000000  195.000000  195.000000  195.000000  195.000000  \n",
       "mean     0.498536    0.718099   -5.684397    0.226510    2.381826    0.206552  \n",
       "std      0.103942    0.055336    1.090208    0.083406    0.382799    0.090119  \n",
       "min      0.256570    0.574282   -7.964984    0.006274    1.423287    0.044539  \n",
       "25%      0.421306    0.674758   -6.450096    0.174351    2.099125    0.137451  \n",
       "50%      0.495954    0.722254   -5.720868    0.218885    2.361532    0.194052  \n",
       "75%      0.587562    0.761881   -5.046192    0.279234    2.636456    0.252980  \n",
       "max      0.685151    0.825288   -2.434031    0.450493    3.671155    0.527367  \n",
       "\n",
       "[8 rows x 23 columns]"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parkinsons_data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29db33b3",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "<b>Exploratory Data Analysis (EDA)\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0194a178",
   "metadata": {},
   "source": [
    "#### Let's build subplots of the features with boxplot or whisker plot to see the minimum, 1srt quantile, median and max.\n",
    "#### Each time the feature is related to the status (0 or 1 for healthy or Parkinson disease)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "8e47c729",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes=plt.subplots(5,5,figsize=(15,15))\n",
    "axes=axes.flatten()\n",
    "\n",
    "for i in range(1,len(parkinsons_data.columns)-1):\n",
    "    sns.boxplot(x='status', y=parkinsons_data.iloc[:,i], data=parkinsons_data, orient='v', ax=axes[i])\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "899a345c",
   "metadata": {},
   "source": [
    "<font color='green'>Thanks to these subplots we can easily see the outliers, the points that lie outside the whiskers.</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "c7e1ce19",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function matplotlib.pyplot.show(close=None, block=None)>"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's have a closer look to the \"PPE\" variable\n",
    "parkinsons_data.boxplot(column=['PPE'])\n",
    "plt.show\n",
    "# There are some outliers between 0.4 and 0.5 and beyond 0.5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4e8b02fe",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "<b></b> Data Cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f67401a1",
   "metadata": {},
   "source": [
    "### Removing duplicates and finding missing values are important, otherwise our models can lead us to incorrect conclusions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "6083e3b7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    },
    {
     "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>name</th>\n",
       "      <th>MDVP:Fo(Hz)</th>\n",
       "      <th>MDVP:Fhi(Hz)</th>\n",
       "      <th>MDVP:Flo(Hz)</th>\n",
       "      <th>MDVP:Jitter(%)</th>\n",
       "      <th>MDVP:Jitter(Abs)</th>\n",
       "      <th>MDVP:RAP</th>\n",
       "      <th>MDVP:PPQ</th>\n",
       "      <th>Jitter:DDP</th>\n",
       "      <th>MDVP:Shimmer</th>\n",
       "      <th>...</th>\n",
       "      <th>Shimmer:DDA</th>\n",
       "      <th>NHR</th>\n",
       "      <th>HNR</th>\n",
       "      <th>status</th>\n",
       "      <th>RPDE</th>\n",
       "      <th>DFA</th>\n",
       "      <th>spread1</th>\n",
       "      <th>spread2</th>\n",
       "      <th>D2</th>\n",
       "      <th>PPE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>0 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [name, MDVP:Fo(Hz), MDVP:Fhi(Hz), MDVP:Flo(Hz), MDVP:Jitter(%), MDVP:Jitter(Abs), MDVP:RAP, MDVP:PPQ, Jitter:DDP, MDVP:Shimmer, MDVP:Shimmer(dB), Shimmer:APQ3, Shimmer:APQ5, MDVP:APQ, Shimmer:DDA, NHR, HNR, status, RPDE, DFA, spread1, spread2, D2, PPE]\n",
       "Index: []\n",
       "\n",
       "[0 rows x 24 columns]"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "duplicate_Values=parkinsons_data.duplicated()\n",
    "print(duplicate_Values.sum())\n",
    "parkinsons_data[duplicate_Values]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c094da4c",
   "metadata": {},
   "source": [
    "<font color='green'>There are no duplicate variables</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "e91d0e1b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "name                0\n",
      "MDVP:Fo(Hz)         0\n",
      "MDVP:Fhi(Hz)        0\n",
      "MDVP:Flo(Hz)        0\n",
      "MDVP:Jitter(%)      0\n",
      "MDVP:Jitter(Abs)    0\n",
      "MDVP:RAP            0\n",
      "MDVP:PPQ            0\n",
      "Jitter:DDP          0\n",
      "MDVP:Shimmer        0\n",
      "MDVP:Shimmer(dB)    0\n",
      "Shimmer:APQ3        0\n",
      "Shimmer:APQ5        0\n",
      "MDVP:APQ            0\n",
      "Shimmer:DDA         0\n",
      "NHR                 0\n",
      "HNR                 0\n",
      "status              0\n",
      "RPDE                0\n",
      "DFA                 0\n",
      "spread1             0\n",
      "spread2             0\n",
      "D2                  0\n",
      "PPE                 0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(parkinsons_data.isnull().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db2e7a11",
   "metadata": {},
   "source": [
    "<font color='green'>Luckily, this dataset does not contain any missing values</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "009fed12",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "<b>Correlation Analysis\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "e3a8b2e8",
   "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>MDVP:Fo(Hz)</th>\n",
       "      <th>MDVP:Fhi(Hz)</th>\n",
       "      <th>MDVP:Flo(Hz)</th>\n",
       "      <th>MDVP:Jitter(%)</th>\n",
       "      <th>MDVP:Jitter(Abs)</th>\n",
       "      <th>MDVP:RAP</th>\n",
       "      <th>MDVP:PPQ</th>\n",
       "      <th>Jitter:DDP</th>\n",
       "      <th>MDVP:Shimmer</th>\n",
       "      <th>MDVP:Shimmer(dB)</th>\n",
       "      <th>...</th>\n",
       "      <th>Shimmer:DDA</th>\n",
       "      <th>NHR</th>\n",
       "      <th>HNR</th>\n",
       "      <th>status</th>\n",
       "      <th>RPDE</th>\n",
       "      <th>DFA</th>\n",
       "      <th>spread1</th>\n",
       "      <th>spread2</th>\n",
       "      <th>D2</th>\n",
       "      <th>PPE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MDVP:Fo(Hz)</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.400985</td>\n",
       "      <td>0.596546</td>\n",
       "      <td>-0.118003</td>\n",
       "      <td>-0.382027</td>\n",
       "      <td>-0.076194</td>\n",
       "      <td>-0.112165</td>\n",
       "      <td>-0.076213</td>\n",
       "      <td>-0.098374</td>\n",
       "      <td>-0.073742</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.094732</td>\n",
       "      <td>-0.021981</td>\n",
       "      <td>0.059144</td>\n",
       "      <td>-0.383535</td>\n",
       "      <td>-0.383894</td>\n",
       "      <td>-0.446013</td>\n",
       "      <td>-0.413738</td>\n",
       "      <td>-0.249450</td>\n",
       "      <td>0.177980</td>\n",
       "      <td>-0.372356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MDVP:Fhi(Hz)</th>\n",
       "      <td>0.400985</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.084951</td>\n",
       "      <td>0.102086</td>\n",
       "      <td>-0.029198</td>\n",
       "      <td>0.097177</td>\n",
       "      <td>0.091126</td>\n",
       "      <td>0.097150</td>\n",
       "      <td>0.002281</td>\n",
       "      <td>0.043465</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.003733</td>\n",
       "      <td>0.163766</td>\n",
       "      <td>-0.024893</td>\n",
       "      <td>-0.166136</td>\n",
       "      <td>-0.112404</td>\n",
       "      <td>-0.343097</td>\n",
       "      <td>-0.076658</td>\n",
       "      <td>-0.002954</td>\n",
       "      <td>0.176323</td>\n",
       "      <td>-0.069543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MDVP:Flo(Hz)</th>\n",
       "      <td>0.596546</td>\n",
       "      <td>0.084951</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.139919</td>\n",
       "      <td>-0.277815</td>\n",
       "      <td>-0.100519</td>\n",
       "      <td>-0.095828</td>\n",
       "      <td>-0.100488</td>\n",
       "      <td>-0.144543</td>\n",
       "      <td>-0.119089</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.150737</td>\n",
       "      <td>-0.108670</td>\n",
       "      <td>0.210851</td>\n",
       "      <td>-0.380200</td>\n",
       "      <td>-0.400143</td>\n",
       "      <td>-0.050406</td>\n",
       "      <td>-0.394857</td>\n",
       "      <td>-0.243829</td>\n",
       "      <td>-0.100629</td>\n",
       "      <td>-0.340071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MDVP:Jitter(%)</th>\n",
       "      <td>-0.118003</td>\n",
       "      <td>0.102086</td>\n",
       "      <td>-0.139919</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.935714</td>\n",
       "      <td>0.990276</td>\n",
       "      <td>0.974256</td>\n",
       "      <td>0.990276</td>\n",
       "      <td>0.769063</td>\n",
       "      <td>0.804289</td>\n",
       "      <td>...</td>\n",
       "      <td>0.746635</td>\n",
       "      <td>0.906959</td>\n",
       "      <td>-0.728165</td>\n",
       "      <td>0.278220</td>\n",
       "      <td>0.360673</td>\n",
       "      <td>0.098572</td>\n",
       "      <td>0.693577</td>\n",
       "      <td>0.385123</td>\n",
       "      <td>0.433434</td>\n",
       "      <td>0.721543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MDVP:Jitter(Abs)</th>\n",
       "      <td>-0.382027</td>\n",
       "      <td>-0.029198</td>\n",
       "      <td>-0.277815</td>\n",
       "      <td>0.935714</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.922911</td>\n",
       "      <td>0.897778</td>\n",
       "      <td>0.922913</td>\n",
       "      <td>0.703322</td>\n",
       "      <td>0.716601</td>\n",
       "      <td>...</td>\n",
       "      <td>0.697170</td>\n",
       "      <td>0.834972</td>\n",
       "      <td>-0.656810</td>\n",
       "      <td>0.338653</td>\n",
       "      <td>0.441839</td>\n",
       "      <td>0.175036</td>\n",
       "      <td>0.735779</td>\n",
       "      <td>0.388543</td>\n",
       "      <td>0.310694</td>\n",
       "      <td>0.748162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MDVP:RAP</th>\n",
       "      <td>-0.076194</td>\n",
       "      <td>0.097177</td>\n",
       "      <td>-0.100519</td>\n",
       "      <td>0.990276</td>\n",
       "      <td>0.922911</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.957317</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.759581</td>\n",
       "      <td>0.790652</td>\n",
       "      <td>...</td>\n",
       "      <td>0.744919</td>\n",
       "      <td>0.919521</td>\n",
       "      <td>-0.721543</td>\n",
       "      <td>0.266668</td>\n",
       "      <td>0.342140</td>\n",
       "      <td>0.064083</td>\n",
       "      <td>0.648328</td>\n",
       "      <td>0.324407</td>\n",
       "      <td>0.426605</td>\n",
       "      <td>0.670999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MDVP:PPQ</th>\n",
       "      <td>-0.112165</td>\n",
       "      <td>0.091126</td>\n",
       "      <td>-0.095828</td>\n",
       "      <td>0.974256</td>\n",
       "      <td>0.897778</td>\n",
       "      <td>0.957317</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.957319</td>\n",
       "      <td>0.797826</td>\n",
       "      <td>0.839239</td>\n",
       "      <td>...</td>\n",
       "      <td>0.763592</td>\n",
       "      <td>0.844604</td>\n",
       "      <td>-0.731510</td>\n",
       "      <td>0.288698</td>\n",
       "      <td>0.333274</td>\n",
       "      <td>0.196301</td>\n",
       "      <td>0.716489</td>\n",
       "      <td>0.407605</td>\n",
       "      <td>0.412524</td>\n",
       "      <td>0.769647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jitter:DDP</th>\n",
       "      <td>-0.076213</td>\n",
       "      <td>0.097150</td>\n",
       "      <td>-0.100488</td>\n",
       "      <td>0.990276</td>\n",
       "      <td>0.922913</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.957319</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.759555</td>\n",
       "      <td>0.790621</td>\n",
       "      <td>...</td>\n",
       "      <td>0.744901</td>\n",
       "      <td>0.919548</td>\n",
       "      <td>-0.721494</td>\n",
       "      <td>0.266646</td>\n",
       "      <td>0.342079</td>\n",
       "      <td>0.064026</td>\n",
       "      <td>0.648328</td>\n",
       "      <td>0.324377</td>\n",
       "      <td>0.426556</td>\n",
       "      <td>0.671005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MDVP:Shimmer</th>\n",
       "      <td>-0.098374</td>\n",
       "      <td>0.002281</td>\n",
       "      <td>-0.144543</td>\n",
       "      <td>0.769063</td>\n",
       "      <td>0.703322</td>\n",
       "      <td>0.759581</td>\n",
       "      <td>0.797826</td>\n",
       "      <td>0.759555</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.987258</td>\n",
       "      <td>...</td>\n",
       "      <td>0.987626</td>\n",
       "      <td>0.722194</td>\n",
       "      <td>-0.835271</td>\n",
       "      <td>0.367430</td>\n",
       "      <td>0.447424</td>\n",
       "      <td>0.159954</td>\n",
       "      <td>0.654734</td>\n",
       "      <td>0.452025</td>\n",
       "      <td>0.507088</td>\n",
       "      <td>0.693771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MDVP:Shimmer(dB)</th>\n",
       "      <td>-0.073742</td>\n",
       "      <td>0.043465</td>\n",
       "      <td>-0.119089</td>\n",
       "      <td>0.804289</td>\n",
       "      <td>0.716601</td>\n",
       "      <td>0.790652</td>\n",
       "      <td>0.839239</td>\n",
       "      <td>0.790621</td>\n",
       "      <td>0.987258</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.963202</td>\n",
       "      <td>0.744477</td>\n",
       "      <td>-0.827805</td>\n",
       "      <td>0.350697</td>\n",
       "      <td>0.410684</td>\n",
       "      <td>0.165157</td>\n",
       "      <td>0.652547</td>\n",
       "      <td>0.454314</td>\n",
       "      <td>0.512233</td>\n",
       "      <td>0.695058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shimmer:APQ3</th>\n",
       "      <td>-0.094717</td>\n",
       "      <td>-0.003743</td>\n",
       "      <td>-0.150747</td>\n",
       "      <td>0.746625</td>\n",
       "      <td>0.697153</td>\n",
       "      <td>0.744912</td>\n",
       "      <td>0.763580</td>\n",
       "      <td>0.744894</td>\n",
       "      <td>0.987625</td>\n",
       "      <td>0.963198</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.716207</td>\n",
       "      <td>-0.827123</td>\n",
       "      <td>0.347617</td>\n",
       "      <td>0.435242</td>\n",
       "      <td>0.151124</td>\n",
       "      <td>0.610967</td>\n",
       "      <td>0.402243</td>\n",
       "      <td>0.467265</td>\n",
       "      <td>0.645377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shimmer:APQ5</th>\n",
       "      <td>-0.070682</td>\n",
       "      <td>-0.009997</td>\n",
       "      <td>-0.101095</td>\n",
       "      <td>0.725561</td>\n",
       "      <td>0.648961</td>\n",
       "      <td>0.709927</td>\n",
       "      <td>0.786780</td>\n",
       "      <td>0.709907</td>\n",
       "      <td>0.982835</td>\n",
       "      <td>0.973751</td>\n",
       "      <td>...</td>\n",
       "      <td>0.960072</td>\n",
       "      <td>0.658080</td>\n",
       "      <td>-0.813753</td>\n",
       "      <td>0.351148</td>\n",
       "      <td>0.399903</td>\n",
       "      <td>0.213873</td>\n",
       "      <td>0.646809</td>\n",
       "      <td>0.457195</td>\n",
       "      <td>0.502174</td>\n",
       "      <td>0.702456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MDVP:APQ</th>\n",
       "      <td>-0.077774</td>\n",
       "      <td>0.004937</td>\n",
       "      <td>-0.107293</td>\n",
       "      <td>0.758255</td>\n",
       "      <td>0.648793</td>\n",
       "      <td>0.737455</td>\n",
       "      <td>0.804139</td>\n",
       "      <td>0.737439</td>\n",
       "      <td>0.950083</td>\n",
       "      <td>0.960977</td>\n",
       "      <td>...</td>\n",
       "      <td>0.896647</td>\n",
       "      <td>0.694019</td>\n",
       "      <td>-0.800407</td>\n",
       "      <td>0.364316</td>\n",
       "      <td>0.451379</td>\n",
       "      <td>0.157276</td>\n",
       "      <td>0.673158</td>\n",
       "      <td>0.502188</td>\n",
       "      <td>0.536869</td>\n",
       "      <td>0.721694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shimmer:DDA</th>\n",
       "      <td>-0.094732</td>\n",
       "      <td>-0.003733</td>\n",
       "      <td>-0.150737</td>\n",
       "      <td>0.746635</td>\n",
       "      <td>0.697170</td>\n",
       "      <td>0.744919</td>\n",
       "      <td>0.763592</td>\n",
       "      <td>0.744901</td>\n",
       "      <td>0.987626</td>\n",
       "      <td>0.963202</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.716215</td>\n",
       "      <td>-0.827130</td>\n",
       "      <td>0.347608</td>\n",
       "      <td>0.435237</td>\n",
       "      <td>0.151132</td>\n",
       "      <td>0.610971</td>\n",
       "      <td>0.402223</td>\n",
       "      <td>0.467261</td>\n",
       "      <td>0.645389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NHR</th>\n",
       "      <td>-0.021981</td>\n",
       "      <td>0.163766</td>\n",
       "      <td>-0.108670</td>\n",
       "      <td>0.906959</td>\n",
       "      <td>0.834972</td>\n",
       "      <td>0.919521</td>\n",
       "      <td>0.844604</td>\n",
       "      <td>0.919548</td>\n",
       "      <td>0.722194</td>\n",
       "      <td>0.744477</td>\n",
       "      <td>...</td>\n",
       "      <td>0.716215</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.714072</td>\n",
       "      <td>0.189429</td>\n",
       "      <td>0.370890</td>\n",
       "      <td>-0.131882</td>\n",
       "      <td>0.540865</td>\n",
       "      <td>0.318099</td>\n",
       "      <td>0.470949</td>\n",
       "      <td>0.552591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HNR</th>\n",
       "      <td>0.059144</td>\n",
       "      <td>-0.024893</td>\n",
       "      <td>0.210851</td>\n",
       "      <td>-0.728165</td>\n",
       "      <td>-0.656810</td>\n",
       "      <td>-0.721543</td>\n",
       "      <td>-0.731510</td>\n",
       "      <td>-0.721494</td>\n",
       "      <td>-0.835271</td>\n",
       "      <td>-0.827805</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.827130</td>\n",
       "      <td>-0.714072</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.361515</td>\n",
       "      <td>-0.598736</td>\n",
       "      <td>-0.008665</td>\n",
       "      <td>-0.673210</td>\n",
       "      <td>-0.431564</td>\n",
       "      <td>-0.601401</td>\n",
       "      <td>-0.692876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>status</th>\n",
       "      <td>-0.383535</td>\n",
       "      <td>-0.166136</td>\n",
       "      <td>-0.380200</td>\n",
       "      <td>0.278220</td>\n",
       "      <td>0.338653</td>\n",
       "      <td>0.266668</td>\n",
       "      <td>0.288698</td>\n",
       "      <td>0.266646</td>\n",
       "      <td>0.367430</td>\n",
       "      <td>0.350697</td>\n",
       "      <td>...</td>\n",
       "      <td>0.347608</td>\n",
       "      <td>0.189429</td>\n",
       "      <td>-0.361515</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.308567</td>\n",
       "      <td>0.231739</td>\n",
       "      <td>0.564838</td>\n",
       "      <td>0.454842</td>\n",
       "      <td>0.340232</td>\n",
       "      <td>0.531039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RPDE</th>\n",
       "      <td>-0.383894</td>\n",
       "      <td>-0.112404</td>\n",
       "      <td>-0.400143</td>\n",
       "      <td>0.360673</td>\n",
       "      <td>0.441839</td>\n",
       "      <td>0.342140</td>\n",
       "      <td>0.333274</td>\n",
       "      <td>0.342079</td>\n",
       "      <td>0.447424</td>\n",
       "      <td>0.410684</td>\n",
       "      <td>...</td>\n",
       "      <td>0.435237</td>\n",
       "      <td>0.370890</td>\n",
       "      <td>-0.598736</td>\n",
       "      <td>0.308567</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.110950</td>\n",
       "      <td>0.591117</td>\n",
       "      <td>0.479905</td>\n",
       "      <td>0.236931</td>\n",
       "      <td>0.545886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DFA</th>\n",
       "      <td>-0.446013</td>\n",
       "      <td>-0.343097</td>\n",
       "      <td>-0.050406</td>\n",
       "      <td>0.098572</td>\n",
       "      <td>0.175036</td>\n",
       "      <td>0.064083</td>\n",
       "      <td>0.196301</td>\n",
       "      <td>0.064026</td>\n",
       "      <td>0.159954</td>\n",
       "      <td>0.165157</td>\n",
       "      <td>...</td>\n",
       "      <td>0.151132</td>\n",
       "      <td>-0.131882</td>\n",
       "      <td>-0.008665</td>\n",
       "      <td>0.231739</td>\n",
       "      <td>-0.110950</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.195668</td>\n",
       "      <td>0.166548</td>\n",
       "      <td>-0.165381</td>\n",
       "      <td>0.270445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>spread1</th>\n",
       "      <td>-0.413738</td>\n",
       "      <td>-0.076658</td>\n",
       "      <td>-0.394857</td>\n",
       "      <td>0.693577</td>\n",
       "      <td>0.735779</td>\n",
       "      <td>0.648328</td>\n",
       "      <td>0.716489</td>\n",
       "      <td>0.648328</td>\n",
       "      <td>0.654734</td>\n",
       "      <td>0.652547</td>\n",
       "      <td>...</td>\n",
       "      <td>0.610971</td>\n",
       "      <td>0.540865</td>\n",
       "      <td>-0.673210</td>\n",
       "      <td>0.564838</td>\n",
       "      <td>0.591117</td>\n",
       "      <td>0.195668</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.652358</td>\n",
       "      <td>0.495123</td>\n",
       "      <td>0.962435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>spread2</th>\n",
       "      <td>-0.249450</td>\n",
       "      <td>-0.002954</td>\n",
       "      <td>-0.243829</td>\n",
       "      <td>0.385123</td>\n",
       "      <td>0.388543</td>\n",
       "      <td>0.324407</td>\n",
       "      <td>0.407605</td>\n",
       "      <td>0.324377</td>\n",
       "      <td>0.452025</td>\n",
       "      <td>0.454314</td>\n",
       "      <td>...</td>\n",
       "      <td>0.402223</td>\n",
       "      <td>0.318099</td>\n",
       "      <td>-0.431564</td>\n",
       "      <td>0.454842</td>\n",
       "      <td>0.479905</td>\n",
       "      <td>0.166548</td>\n",
       "      <td>0.652358</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.523532</td>\n",
       "      <td>0.644711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>D2</th>\n",
       "      <td>0.177980</td>\n",
       "      <td>0.176323</td>\n",
       "      <td>-0.100629</td>\n",
       "      <td>0.433434</td>\n",
       "      <td>0.310694</td>\n",
       "      <td>0.426605</td>\n",
       "      <td>0.412524</td>\n",
       "      <td>0.426556</td>\n",
       "      <td>0.507088</td>\n",
       "      <td>0.512233</td>\n",
       "      <td>...</td>\n",
       "      <td>0.467261</td>\n",
       "      <td>0.470949</td>\n",
       "      <td>-0.601401</td>\n",
       "      <td>0.340232</td>\n",
       "      <td>0.236931</td>\n",
       "      <td>-0.165381</td>\n",
       "      <td>0.495123</td>\n",
       "      <td>0.523532</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.480585</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PPE</th>\n",
       "      <td>-0.372356</td>\n",
       "      <td>-0.069543</td>\n",
       "      <td>-0.340071</td>\n",
       "      <td>0.721543</td>\n",
       "      <td>0.748162</td>\n",
       "      <td>0.670999</td>\n",
       "      <td>0.769647</td>\n",
       "      <td>0.671005</td>\n",
       "      <td>0.693771</td>\n",
       "      <td>0.695058</td>\n",
       "      <td>...</td>\n",
       "      <td>0.645389</td>\n",
       "      <td>0.552591</td>\n",
       "      <td>-0.692876</td>\n",
       "      <td>0.531039</td>\n",
       "      <td>0.545886</td>\n",
       "      <td>0.270445</td>\n",
       "      <td>0.962435</td>\n",
       "      <td>0.644711</td>\n",
       "      <td>0.480585</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  MDVP:Fo(Hz)  MDVP:Fhi(Hz)  MDVP:Flo(Hz)  MDVP:Jitter(%)  \\\n",
       "MDVP:Fo(Hz)          1.000000      0.400985      0.596546       -0.118003   \n",
       "MDVP:Fhi(Hz)         0.400985      1.000000      0.084951        0.102086   \n",
       "MDVP:Flo(Hz)         0.596546      0.084951      1.000000       -0.139919   \n",
       "MDVP:Jitter(%)      -0.118003      0.102086     -0.139919        1.000000   \n",
       "MDVP:Jitter(Abs)    -0.382027     -0.029198     -0.277815        0.935714   \n",
       "MDVP:RAP            -0.076194      0.097177     -0.100519        0.990276   \n",
       "MDVP:PPQ            -0.112165      0.091126     -0.095828        0.974256   \n",
       "Jitter:DDP          -0.076213      0.097150     -0.100488        0.990276   \n",
       "MDVP:Shimmer        -0.098374      0.002281     -0.144543        0.769063   \n",
       "MDVP:Shimmer(dB)    -0.073742      0.043465     -0.119089        0.804289   \n",
       "Shimmer:APQ3        -0.094717     -0.003743     -0.150747        0.746625   \n",
       "Shimmer:APQ5        -0.070682     -0.009997     -0.101095        0.725561   \n",
       "MDVP:APQ            -0.077774      0.004937     -0.107293        0.758255   \n",
       "Shimmer:DDA         -0.094732     -0.003733     -0.150737        0.746635   \n",
       "NHR                 -0.021981      0.163766     -0.108670        0.906959   \n",
       "HNR                  0.059144     -0.024893      0.210851       -0.728165   \n",
       "status              -0.383535     -0.166136     -0.380200        0.278220   \n",
       "RPDE                -0.383894     -0.112404     -0.400143        0.360673   \n",
       "DFA                 -0.446013     -0.343097     -0.050406        0.098572   \n",
       "spread1             -0.413738     -0.076658     -0.394857        0.693577   \n",
       "spread2             -0.249450     -0.002954     -0.243829        0.385123   \n",
       "D2                   0.177980      0.176323     -0.100629        0.433434   \n",
       "PPE                 -0.372356     -0.069543     -0.340071        0.721543   \n",
       "\n",
       "                  MDVP:Jitter(Abs)  MDVP:RAP  MDVP:PPQ  Jitter:DDP  \\\n",
       "MDVP:Fo(Hz)              -0.382027 -0.076194 -0.112165   -0.076213   \n",
       "MDVP:Fhi(Hz)             -0.029198  0.097177  0.091126    0.097150   \n",
       "MDVP:Flo(Hz)             -0.277815 -0.100519 -0.095828   -0.100488   \n",
       "MDVP:Jitter(%)            0.935714  0.990276  0.974256    0.990276   \n",
       "MDVP:Jitter(Abs)          1.000000  0.922911  0.897778    0.922913   \n",
       "MDVP:RAP                  0.922911  1.000000  0.957317    1.000000   \n",
       "MDVP:PPQ                  0.897778  0.957317  1.000000    0.957319   \n",
       "Jitter:DDP                0.922913  1.000000  0.957319    1.000000   \n",
       "MDVP:Shimmer              0.703322  0.759581  0.797826    0.759555   \n",
       "MDVP:Shimmer(dB)          0.716601  0.790652  0.839239    0.790621   \n",
       "Shimmer:APQ3              0.697153  0.744912  0.763580    0.744894   \n",
       "Shimmer:APQ5              0.648961  0.709927  0.786780    0.709907   \n",
       "MDVP:APQ                  0.648793  0.737455  0.804139    0.737439   \n",
       "Shimmer:DDA               0.697170  0.744919  0.763592    0.744901   \n",
       "NHR                       0.834972  0.919521  0.844604    0.919548   \n",
       "HNR                      -0.656810 -0.721543 -0.731510   -0.721494   \n",
       "status                    0.338653  0.266668  0.288698    0.266646   \n",
       "RPDE                      0.441839  0.342140  0.333274    0.342079   \n",
       "DFA                       0.175036  0.064083  0.196301    0.064026   \n",
       "spread1                   0.735779  0.648328  0.716489    0.648328   \n",
       "spread2                   0.388543  0.324407  0.407605    0.324377   \n",
       "D2                        0.310694  0.426605  0.412524    0.426556   \n",
       "PPE                       0.748162  0.670999  0.769647    0.671005   \n",
       "\n",
       "                  MDVP:Shimmer  MDVP:Shimmer(dB)  ...  Shimmer:DDA       NHR  \\\n",
       "MDVP:Fo(Hz)          -0.098374         -0.073742  ...    -0.094732 -0.021981   \n",
       "MDVP:Fhi(Hz)          0.002281          0.043465  ...    -0.003733  0.163766   \n",
       "MDVP:Flo(Hz)         -0.144543         -0.119089  ...    -0.150737 -0.108670   \n",
       "MDVP:Jitter(%)        0.769063          0.804289  ...     0.746635  0.906959   \n",
       "MDVP:Jitter(Abs)      0.703322          0.716601  ...     0.697170  0.834972   \n",
       "MDVP:RAP              0.759581          0.790652  ...     0.744919  0.919521   \n",
       "MDVP:PPQ              0.797826          0.839239  ...     0.763592  0.844604   \n",
       "Jitter:DDP            0.759555          0.790621  ...     0.744901  0.919548   \n",
       "MDVP:Shimmer          1.000000          0.987258  ...     0.987626  0.722194   \n",
       "MDVP:Shimmer(dB)      0.987258          1.000000  ...     0.963202  0.744477   \n",
       "Shimmer:APQ3          0.987625          0.963198  ...     1.000000  0.716207   \n",
       "Shimmer:APQ5          0.982835          0.973751  ...     0.960072  0.658080   \n",
       "MDVP:APQ              0.950083          0.960977  ...     0.896647  0.694019   \n",
       "Shimmer:DDA           0.987626          0.963202  ...     1.000000  0.716215   \n",
       "NHR                   0.722194          0.744477  ...     0.716215  1.000000   \n",
       "HNR                  -0.835271         -0.827805  ...    -0.827130 -0.714072   \n",
       "status                0.367430          0.350697  ...     0.347608  0.189429   \n",
       "RPDE                  0.447424          0.410684  ...     0.435237  0.370890   \n",
       "DFA                   0.159954          0.165157  ...     0.151132 -0.131882   \n",
       "spread1               0.654734          0.652547  ...     0.610971  0.540865   \n",
       "spread2               0.452025          0.454314  ...     0.402223  0.318099   \n",
       "D2                    0.507088          0.512233  ...     0.467261  0.470949   \n",
       "PPE                   0.693771          0.695058  ...     0.645389  0.552591   \n",
       "\n",
       "                       HNR    status      RPDE       DFA   spread1   spread2  \\\n",
       "MDVP:Fo(Hz)       0.059144 -0.383535 -0.383894 -0.446013 -0.413738 -0.249450   \n",
       "MDVP:Fhi(Hz)     -0.024893 -0.166136 -0.112404 -0.343097 -0.076658 -0.002954   \n",
       "MDVP:Flo(Hz)      0.210851 -0.380200 -0.400143 -0.050406 -0.394857 -0.243829   \n",
       "MDVP:Jitter(%)   -0.728165  0.278220  0.360673  0.098572  0.693577  0.385123   \n",
       "MDVP:Jitter(Abs) -0.656810  0.338653  0.441839  0.175036  0.735779  0.388543   \n",
       "MDVP:RAP         -0.721543  0.266668  0.342140  0.064083  0.648328  0.324407   \n",
       "MDVP:PPQ         -0.731510  0.288698  0.333274  0.196301  0.716489  0.407605   \n",
       "Jitter:DDP       -0.721494  0.266646  0.342079  0.064026  0.648328  0.324377   \n",
       "MDVP:Shimmer     -0.835271  0.367430  0.447424  0.159954  0.654734  0.452025   \n",
       "MDVP:Shimmer(dB) -0.827805  0.350697  0.410684  0.165157  0.652547  0.454314   \n",
       "Shimmer:APQ3     -0.827123  0.347617  0.435242  0.151124  0.610967  0.402243   \n",
       "Shimmer:APQ5     -0.813753  0.351148  0.399903  0.213873  0.646809  0.457195   \n",
       "MDVP:APQ         -0.800407  0.364316  0.451379  0.157276  0.673158  0.502188   \n",
       "Shimmer:DDA      -0.827130  0.347608  0.435237  0.151132  0.610971  0.402223   \n",
       "NHR              -0.714072  0.189429  0.370890 -0.131882  0.540865  0.318099   \n",
       "HNR               1.000000 -0.361515 -0.598736 -0.008665 -0.673210 -0.431564   \n",
       "status           -0.361515  1.000000  0.308567  0.231739  0.564838  0.454842   \n",
       "RPDE             -0.598736  0.308567  1.000000 -0.110950  0.591117  0.479905   \n",
       "DFA              -0.008665  0.231739 -0.110950  1.000000  0.195668  0.166548   \n",
       "spread1          -0.673210  0.564838  0.591117  0.195668  1.000000  0.652358   \n",
       "spread2          -0.431564  0.454842  0.479905  0.166548  0.652358  1.000000   \n",
       "D2               -0.601401  0.340232  0.236931 -0.165381  0.495123  0.523532   \n",
       "PPE              -0.692876  0.531039  0.545886  0.270445  0.962435  0.644711   \n",
       "\n",
       "                        D2       PPE  \n",
       "MDVP:Fo(Hz)       0.177980 -0.372356  \n",
       "MDVP:Fhi(Hz)      0.176323 -0.069543  \n",
       "MDVP:Flo(Hz)     -0.100629 -0.340071  \n",
       "MDVP:Jitter(%)    0.433434  0.721543  \n",
       "MDVP:Jitter(Abs)  0.310694  0.748162  \n",
       "MDVP:RAP          0.426605  0.670999  \n",
       "MDVP:PPQ          0.412524  0.769647  \n",
       "Jitter:DDP        0.426556  0.671005  \n",
       "MDVP:Shimmer      0.507088  0.693771  \n",
       "MDVP:Shimmer(dB)  0.512233  0.695058  \n",
       "Shimmer:APQ3      0.467265  0.645377  \n",
       "Shimmer:APQ5      0.502174  0.702456  \n",
       "MDVP:APQ          0.536869  0.721694  \n",
       "Shimmer:DDA       0.467261  0.645389  \n",
       "NHR               0.470949  0.552591  \n",
       "HNR              -0.601401 -0.692876  \n",
       "status            0.340232  0.531039  \n",
       "RPDE              0.236931  0.545886  \n",
       "DFA              -0.165381  0.270445  \n",
       "spread1           0.495123  0.962435  \n",
       "spread2           0.523532  0.644711  \n",
       "D2                1.000000  0.480585  \n",
       "PPE               0.480585  1.000000  \n",
       "\n",
       "[23 rows x 23 columns]"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr= parkinsons_data.corr()\n",
    "corr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce634215",
   "metadata": {},
   "source": [
    "<font color='green'>We don't have a clear visualization</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c934878c",
   "metadata": {},
   "source": [
    "### We create a heatmap using Seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "2d1ea7d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(parkinsons_data.corr(),annot=True,cmap='RdYlGn')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9ec5e2e1",
   "metadata": {},
   "source": [
    "<font color='green'>As it shown, it is not hard to find following pairs of highly correlated features:<br> Spread1 and PPE = 0,96</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8096439a",
   "metadata": {},
   "source": [
    "### For a better visualization let's see below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "f9f088c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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j/MqLiwr4z8R/kpWZTlBQMFfdcBdJye0ry73ecp546FaiY+K55c+P+NUd1qcDz1x7JgEeYdL/FjLuw+/9yqMjQplwy3A6tohhZ2kZN748g2WbswAYfXZ/rjutLyLCpK9+5flP5vnVPa1zAk+c14MAEd78eRP/N3utX3nzsCBeuqQ37ePC2Vnm5bZ3F7Eio4DU+Aheu6JfZVy72HAe//I3Xvl2fYP13ZgDMfe7b3j0ySfwesv5/YUXM+r6G/3Kd+Tv4MG//ZVNaZsJCQ7msbGP0LlTJwAe+NtfmD13DnGxscyY9tHh6L4xphHuxV0XjeVqioCeIhLmHp8BbKkWM1VV+6pqJ+AJYJqIdMNJkHNZtdgRwDs+x0NVtTcwH2ev771yU8Yvdw99Y6OBW2p5PYAz4HbT1Z8NLFLVfGAk8AZOFs173LhzgQUVg27XC8D9B3I+c+DemDmHs+984qDqer3lTH3zBW676zH++vhE5v84i61bNvrFfDZ9MsltO/KXR8fzh1H38u7b/t/bZn3xAS2T2u7RtscjPH/9WZz76GR63fkqI07qQbfkeL+Y+y86iUXrM+h39wSufeFjnrl2GAA92iRw3Wl9GfjAJI69ezxnH9uJ1JYxVW0LPH1BTy6ZNI/jn5nNJb1b0yUx0q/tu4amsmTrDk76v7ncPPVXnjivBwBrsos4+blvOPm5bxj8/DeUlJYzY6nf99h67bsxB6K8vJy/P/YoE19+lZkffMyMzz5hzdo1fjGvTpxAt65dmf7eBzz56OM8+tTjlWUXnX8BE1/5V0N32xjjS6Ruj0amsQy8AT4FznGfj8QZUNdIVWfhpEsfpaqrgO0icrxPyKXUnDBnLpC6r06IyGwROU5EngDC3IQ2b+MM9ju6x+Pc2HtE5GcRWSwiY93XUkRkhYi8DCwA2gBXABXTJaVAGM7Mt9ed3f8Tzoy+7zVuBOJEpOW++mvq5puFK8nNLzyouhvWrSKhRRLxia0IDAzi2OOHsGiB/8zu1vSNdOnRF4CWSW3Jycogf0ceAHm5WSxd9BMnDT5rj7YHpCaxdlsu6zO3U1rmZep3yzj3uM5+Md2S45m1dAMAq9JzaJcQTWLzCLq2jmfe6i2U7C6j3KvMXb6R8wd0rax3bJto1uUUsTG3mNJy5f1FWzi7ewu/trskRjJnTTYAq7OKaBsTRkJksF/M4NR41ucUs3l7SYP13ZgDsXjpEtq1aUOb5DYEBwVzzu/O5n+zZ/nFrF23lhMGOP/76Ni+A1vS08nOcf7t9z/2OJo3a97g/TbGNF2NaeA9BRjhplnvhZMJcl8WABX/R56MM8uNiJwA5Kjq6hrqDAeWuHH7zFCpqvcDJaraR1WvwJl9Xuse3yMiw4BOwACgD3CsiJziVu8CvOnO0G/EyUD5i1v2DnAm8BnwMM4s+puqWryXazxpP++DOUy252UTE5tQeRwTG8+OvGy/mOQ2HVg4/1sANqxdSW5OBttznSUV7739ChdeeiNSw5/RkmKjSMvJrzzekltA67gov5jFGzK54PguAPRPTaJdQnOS46JYtjmTQd3aEhsZRlhwIGf1S6VNfLPKeq2ah7Fl+87K4/QdO2nVPMyv7aVb8zm3ZysA+iVH0yY6jKRqMRf3TuL9helUV599N+ZAZGRm0LJlq8rjFoktyMjI8Ivp2rkLX/7PSRC8eMli0rems61ajDHmcJI6PhqXRjPwVtXFQArObPcntaji+25OAS5xl3WMYM/Z8lkishBoBjzunu8GVZ1fhy4Pcx+/UvUloJNbtlFVf/SJjVXVAve8O1T1HFU9zq03HHhfRCaIyHsicqJPvUwgiRqIyCgRmS8i88ePH1+HyzAHraasr9X+rDVs+AiKiwp47K83MfurD0lul4onIIAlC38kslk0bdt33rMNQGr4sKh+uqc+/I6YiDDmj7uBW8/qz8L12ygr97JySw5Pf/QDn/31cmaOuZzFGzIoK/f6tL3/a/m/2WuJDgvimztO5qaTUlicnk+5t6qNoADhrO4t+XDJngPv+uy7MQei5l9R/3+fo667gfz8fM6/9CL+M/kdunXtSmBAQAP10BizX01sqUmjuLnSx8fA08AQIG4/sX2BFQCqutm9iXIwcDHO+mlfQ1U1m0NLgMdV1W8BoIik4KxZ91UmIh5VrT6C+BvwKM6XjV9wZsM/Aoa65aFACTVQ1fE4y23gCE0Zf6SLjk0gz529BsjLzaZ5tP8/27CwCK6+8R4AVJW/3n0VcQktmf/jbJb8+gPLFs+jrHQ3JSXFvPbqE1x7s7Osf0tuPslxVTO9rWOjSM8t8Gu7oGQ3N7w8vfJ49Uu3sT5zOwCvfb2Q175eCMA/Rg5li88MdPqOElpHh1YeJzUPZWt+1Qw4QMGuMm59d1Hl8eL7TmVjbtU/xTO6JLJoyw6yCnfv8b7UZ9+NORAtW7Rg27atlccZmRkkJib6xURGRvL4Px4FnN/R084eRnLr5AbtpzFmHxrh4LkuGs2Mt2sS8HdVXbKvIBEZDIwCJvi8PBl4Fmc5SNoh6k+piAS5zwsA37+Xfw5cJyKRbp9ai0hi9QZcq4AOvi+ISCcgSVXnAOE4u64ozmC7QmdgaZ2vwtSLdu27kJmxheysrZSVlfLLT7Pp1df/O19xUSFlZaUAfDfnU1I7H0NYWAQXXHo9j/3fZB7551tc98cxdOnWp3LQDfDzmnRSW8WSkhhNUKCHy07qwYz5v/m13Tw8hKBA51f4+tP68u2KTRSUOAPhhGbhALSJb8YFx3dhynfLKustSNtBx7gI2sWEERQgXNy7NZ+u8P/TevPQQIICnA+7qwe05fv1uRTsqkpIcnGfJN5fVP3+5/rvuzEH4pgePdmwaROb09LYXbqbmZ99wqmDh/rF5Ofns7vU+bf37rT3OK7fcURGRtbUnDHG1FmjmvF2B8zP7aX4MhEZhDNIXQ9crKorfMrfdeuOrs253G0DX3WXmwQCu2oIGw8sFpEFqnqFiHwnIkuBT9113t2AH9w/XRYCVwLlNbQzE2cW3/d2+keBMe7zycCHwB04s+C4A/5UnJ1YTD15e+xoBvfrRnx0FBs/epGxE99j0vTZtaobEBDAZVfdxovjHsDr9XLiKWeSlJzC3K+dmdxTTj2XbVs38cb4J/F4AmiZ1Jarrr+rVm2Xe5U7/v0ZM8eMJMDj4fVZC1mels2oM5yt/MZ/uYBuyfFMuu18yr1eVqRlM+qVGZX1/3v3JcRGhVFW5uX2iZ+xvWinX9v3fLSM968/ngCP8NbPm1mZUci1xzu7q7z20yY6J0by6mV9KfcqqzILuO29xZX1w4I8DE1N4M5pNX8/rs++G3MgAgMD+dsDY7jhj6Mo93q5+IIL6ZSayuT/TgVg5KWXsXb9Ou77ywN4PAGkdujIo2P/Xln/z/fdzbz5P5O3fTunnHEqo/94K7+/6OLDdTnGHKWa1oy3aE2L4I4i7rrwn3H2966XqTURaYVzA+UZB1DnQqCfqv61FuFH9w+xBpYyvmaWMt4cNSxlvDF11ShGvEHX/atOY5zSSTc1iuuo0NiWmjQoEUnCWcrxY30NugFUdSswQUQOZHuGQOCf9dQlY4wxxpjGz26ubDrchDXdG+hc/z3A+Hfrqy/GGGOMMUeGxjd4roujeuBtmq76XAoCMOzO++qt7Q2TX95/0EFqk1K/WSA3b7Bt500jYctBjDGNkH0yGWOMMcaYxqkRLhepCxt4G2OMMcaYxqmG7M5HsnofeIuIAm+p6lXucSCwFfhJVYeLyDXAOCANiATWAWNV9XsReRgIUdUHfNrrA0xW1W5u0pwCnD2wM3B2JtlW7fyvAzNU9T13C8FnVHW5iDyoqo+5MdHA5ap6wH/jF2cvwf8BF6hqvvvahcA0oJuqrnRfGwLcrarDa9nu08Anqvr1gfbJ+Fu2+Gfefftl1Otl4OCzOHP4CL/y4qIC/jPxn2RlphMUFMxVN9xFUnL7ynKvt5wnHrqV6Jh4bvnzI7U+78QxN3HOwL5k5uXT+8p7D7jf837+gZdffRZvuZezzjqPkZdd7VdeUJDP0888SvrWNIKDQrj7rjG0T+lIZmYGT44bS15eDiIezjn7Ai668LIDPn9dHMl9N8YY05g0rRnvhvgaUQT0FJEw9/gMoHrmjamq2ldVOwFPANPcPbInA9X/rzsCJ8NjhaGq2htnv+sH99URN038cvfQNzYauKWW1wM4A253K8KzgUUVg27XSOBbt68H6wXg/v1GmX3yesuZ+uYL3HbXY/z18YnM/3EWW7ds9Iv5bPpkktt25C+PjucPo+7l3bf9v3/N+uIDWia1PeBzvzFzDmff+cRB9bu8vJwXXnqaxx55ln9PmMysWV+wceN6v5h3prxBx46dmPDq29x3z994+ZVnAWd/8ZtH3c6kiVN54bmJfDT9vT3q1qcjue/GGGMaFxGp06Oxaaj5+0+Bc9znI3EG1DVS1Vk4iWtGqeoqYLuIHO8TcikwpYaqc3ESzuyViMwWkeNE5AkgTEQWisjbOIP9ju7xODf2HhH5WUQWi8hY97UUEVkhIi8DC4A2wBU4ad4rzhEJnARcz54D72Yi8oGILBeRV0XEIyIBIvK6iCwVkSUicqf7PmwE4kSk5b6uyezbhnWrSGiRRHxiKwIDgzj2+CEsWvC9X8zW9I106dEXgJZJbcnJyiB/Rx4AeblZLF30EycNPuuAz/3NwpXk5hceVL9XrVpOUlIySa1aExQUxJAhZ/DdD3P9YjZuWk/fPscB0LZtCtsytpKXl0NcXDydOnUFIDw8grZtUsjOzjyofhxtfTfGGGPqU0MNvKcAI0QkFOgF/LSf+AVAV/f5ZNwBrIicAOSo6uoa6gwHlrhxE0XkuL01rqr3AyWq2kdVr8CZWV7rHt8jIsOATsAAoA9wrIic4lbvgpMMp687OD4J+MWn+QuAz1T1NyBXRPr5lA0A7gKOAToCF7ntt1bVnqp6DPBatffBtomog+152cTEJlQex8TGsyMv2y8muU0HFs7/FoANa1eSm5PB9twsAN57+xUuvPRGpIHXmGXnZJGYkFh5nBCfSE52ll9Mx/ad+Pa72QCsXLmMjIxtZFWL2bYtnTVrf6Nr15713ucKR3LfjTHGNDJNbB/vBhlNqOpiIAVntvuTWlTxfaemAJe4yzpGsOds+SwRWQg0Ax53z3eDmwr+YA1zH79S9SWgk1u2UVV/9ImNVdUCn+ORVM3IT3GPK8xT1XWqWu5exyCcNe0dROQFEfkd4LtkJRNIqqmDIjJKROaLyPzx48cf1EUeFWrKzFrtF3HY8BEUFxXw2F9vYvZXH5LcLhVPQABLFv5IZLNo2rbv3ECdrVJjRtlqnx8jLruawoICbvrjVXz48bukpnYmwBNQWV5SUszYfzzALTf/iYiIiHrucZUjue/GGGMamSY28G7IXU0+Bp4GhgBx+4ntC6wAUNXN7k2Ug4GLgROrxQ5V1WwOLQEeV9V/+b0okoKzZt1XmYh4VNUrInHAqThr2hUIAFREKu6sqz4iUVXNE5HewJnArThLaa5zy0OBkpo6qKrjcZbk1NSucUXHJpCXWzWTmpebTfNo/39+YWERXH3jPYAzaPzr3VcRl9CS+T/OZsmvP7Bs8TzKSndTUlLMa68+wbU31//S+4T4RDKzqpZYZGVnEheX4BcTERHBPXf/tbLfV/7hQlq2dL6nlZWV8fA/HuC0U8/k5EFD672/vo7kvhtjjGlsGt/guS4a8u/nk4C/q+qSfQWJyGBgFDDB5+XJwLM4y0HSDlF/SkUkyH1eAET5lH0OXOeu10ZEWotIYvUGXKuADu7zS3CWobRT1RRVbQOsx5nZBhggIu3d2fvLgG9FJB7wqOr7wF8B36UpnXFS2puD1K59FzIztpCdtZWyslJ++Wk2vfr6f3crLiqkrKwUgO/mfEpq52MIC4vggkuv57H/m8wj/3yL6/44hi7d+jTIoBugS5dubNmyma3b0iktLWX27C8ZeMLJfjGFhQWUljr9/uTTjzimZ18iIiJQVZ5+5lHatUnhkosvb5D+NpW+G2OMMfWpwWa83QHzc3spvkxEBgHhOAPVi1V1hU/5u27d0bU5l7tt4KvucpNAYFcNYeOBxSKyQFWvEJHvRGQp8Km7zrsb8IN7R2whcCVQXkM7M3Fm8dfgLCupvo3F+8DlwFTgB7f8GJybQT9wn78mVYuIH3CvIQjnZtG6LJk56gUEBHDZVbfx4rgH8Hq9nHjKmSQlpzD36+kAnHLquWzbuok3xj+JxxNAy6S2XHX9XYfk3G+PHc3gft2Ij45i40cvMnbie0yaPruW/Q5k9K13c/+Dd+D1evndsOGkpHRg+oxpAJw7/CI2bdrAk+PG4vEE0K5dCnfdOQaApcsW8dX/PqV9+47c9MerALju2j9y/ICBh+S6mnLfjTHGNDINsFzEXer7HM5KhYmq+kS18hicCeSOwE7gOlVd6pbdCdyAs/pgCXCtqu7c67lqXI/ZRLiD2Z9x9vdeVk/naIUzy33GIW73QqCfqv61FuFN94d4kP7346Z6bd9Sxtds84a8emu7vvtujDHGT6NY4xF8y9t1GuPsfvmKfV6HiAQAv+Fsd52GM24c6bP9NO6Od4WqOlZEugIvqeppItIaZ/vo7qpaIiL/xcnB8vrezte00gH5EJEknGUaP9bXoBtAVbcCE0Sk2SFuOhD45yFu0xhjjDHmCCJ1fOzXAGCNu/nFbpyNMc6vFtMdJ1kibmLEFBFp4ZYF4mxRHYizciN9XydrsgNvVU1X1e6qemsDnOu/1RLoHIo231XV7YeyTWOMMcaYI0oddzXx3QXOfYyqdobWwGaf4zT3NV+LcLaARkQGAO2AZFXdgrNxyCacrOw7VPWLfV1OQ+5qYkyD+d0/36zX9utzOUjKyANKonpArv7jn+utbYA3X3mm3tou/2GvebeM2UPW1kM6F+InodWh/gOnMaa+VNsFriY1TYtXX97yBPCcu331Epztpsvctd/nA+2B7cC7InKlqr61t5PZwNsYY4wxxjRO9X9zZRpOJvIKyVRbLuKuarjW6Y4IzkYg63G2gl6vqllu2TRgILDXgXeTXWpijDHGGGOOdJ46PvbrZ6CTu91zME6yxo99A0Qk2i0DZweTue5gfBNwgoiEuwPy03Dz0OxNk57xdpPYvKWqV7nHgThrcH5S1eEicg0wDufbTiROFsmxqvq9iDwMhKjqAz7t9QEmq2o3N6lPAeAFMnB2TtlW7fyv4yT+2YHzp4w/q+r/fMrvxMm22UJVd7ivDQE+cvsSCkxR1bGH7E05Cg3r04Fnrj2TAI8w6X8LGffh937l0RGhTLhlOB1bxLCztIwbX57Bss1O0p3RZ/fnutP6IiJM+upXnv9knl/deT//wMuvPou33MtZZ53HyMuu9isvKMjn6WceJX1rGsFBIdx91xjap3QkMzODJ8eNJS8vBxEP55x9ARddeNkBXdfEMTdxzsC+ZObl0/vKe/dfwUfPpGZc3r8tHhHmrsnik6V+/3QJDw7guoHtSYwKobTcy6TvN7Blu5PLKSwogGsHppAcHYYqTPp+PWuzq+eVqp9+G3Ogfvzpe5578Z94y70MP+d8rrriGr/y/IJ8Hn/yH6SnpxEcHMwD9/6VDh1SycjcxiOPPUxubg7iEc4bfiGXXjKy5pMYY+pPPc94q2qZiNyGk8MlAJikqstE5Ga3/FWgG/CmiJQDy4Hr3bKfROQ9nCznZThLUPaZTrypz3gX4WSRDHOPzwC2VIuZqqp9VbUTzhqeae4e3pNxktz4GgG843M8VFV74+y1/eBe+nCPqvYB/gS8Wq1sJM43rQurvf6NqvYFjgOuFJFj936JZl88HuH568/i3Ecn0+vOVxlxUg+6Jcf7xdx/0UksWp9Bv7sncO0LH/PMtcMA6NEmgetO68vAByZx7N3jOfvYTqS2rNrSrry8nBdeeprHHnmWf0+YzKxZX7Bx43q/tt+Z8gYdO3Ziwqtvc989f+PlV54FnP3Fbx51O5MmTuWF5yby0fT39qi7P2/MnMPZd1bfNn7/ROCq49vx7P9WM+bjpRyfEkdS81C/mOHHtGJzbjF/m76MCd+u5/L+bSvLrhjQlqVbdvDgR0v524xlpO/Y63alh7Tfxhyo8vJynnnuKZ5+8jneeuO/fPX1F6zfsM4v5j9vvUan1M68MWkyf3lgLM+96GwmFRAQyG23/Im333yX8S+/xrQP39ujrjGmATRAynhV/URVO6tqR1V91H3tVXfQjar+oKqdVLWrql6kqnk+dR9yX++pqlepak25Yyo19YE3wKfAOe7zkTgD6hqp6iycbyqjVHUVsF1EjvcJuRRnm5nq5uIku9mXH/C5S1ZEOuLMsv/F7VdN/SkCfsHZsN0chAGpSazdlsv6zO2UlnmZ+t0yzj2us19Mt+R4Zi3dAMCq9BzaJUST2DyCrq3jmbd6CyW7yyj3KnOXb+T8AV0r661atZykpGSSWrUmKCiIIUPO4Lsf5vq1vXHTevr2OQ6Atm1T2Jaxlby8HOLi4unUyWkrPDyCtm1SyM7O5EB8s3AlufmFB/qW0CEugsyCXWQV7qLcq8zbkEvfNv57ZCc1D2P5NufmtG35O4mPDKZZaCChQR46J0Yxd002AOVepaS0prxSh77fxhyoFSuXkdy6Da2TkgkKCuL0U8/g2+/m+MVs2LieY/v1B6BduxS2bttKbm4O8XHxdOlc9Tua0i6F7OysBr8GY0zTcjQMvKcAI0QkFOgF/LSf+AVAxehqMs4sNyJyApCjqqtrqDMc5y5XRGSiiBxXQ8zvgA99jiu+BHwDdKkpJb2IxAEnAPW2D3lTlxQbRVpO1e4GW3ILaB0X5RezeEMmFxzfBYD+qUm0S2hOclwUyzZnMqhbW2IjwwgLDuSsfqm0ia/azSA7J4vEhKofW0J8IjnV/sfcsX0nvv1uNgArVy4jI2MbWdVitm1LZ83a3+jatechueb9iQkPJrdod+VxbvFuYsKD/GI25xVzbFtnMN4+LoK4iBBiwoNJiAyhYFcp1w9sz8PDu3PtiSkEBx4NHyPmSJSVlUViQovK44SEFmRl+f/+pXbsxNxvZgGwfMUyMrZtIzPL/0vw1q3p/LZ6Fd279aj/Thtjqqn3fbwbVJP/P6aqLgZScAa6n9Siiu9PaQpwiZsBcwR7zpbPcreWaYazVhtVvcFNVV9hnIisw7nD9TGf10fgrN/2AtOA3/uUnSwivwJfAE/UlADId1/K8eP3uZzoqCY1/NJVT9b61IffERMRxvxxN3DrWf1ZuH4bZeVeVm7J4emPfuCzv17OzDGXs3hDBmXlXp92akimVe10Iy67msKCAm7641V8+PG7pKZ2JsATUFleUlLM2H88wC03/4mIiIg6XWut1fA5VP1KZi7dSnhwAGOH9+D0rolsyi3Gq0qAR2gXG8Gs3zJ5eMZydpV5OadnqwbptjEHSmtI6ivV/vR85eV/oKAgn2uuv5z3p02lU6fOBARU/Y4WFxcz5qH7uOO2PxMREVnvfTbGVNMAS00aUpO+udLHxzgbnA8B4vYT2xf3jlRV3ezeRDkYuBg4sVrsUFXN3k979+AMrG8H3gCOFZFeQCfgS/d/AsE4N1O+5Nb5RlWH76vRavtSWsr4vdiSm09yXNUsdevYKNJzC/xiCkp2c8PL0yuPV790G+sztwPw2tcLee3rhQD8Y+RQtvjMnifEJ/rNjGVlZxIXl+DXdkREBPfc/VfAGahf+YcLadkyCYCysjIe/scDnHbqmZw8aGjdL7aW8op2ExsRXHkcGx7M9uJSv5idpc4NlRXGXdSLrMJdBAd4yCvezTr3ZsqfN+bawNs0WokJiWRmZVQeZ2VlEB/vf49HREQkD97/EOD8jv5+xPkktar6Hf3LQ/cx7PTfMfiUUxuu48aYKo1w8FwXTX7G2zUJ+LuqLtlXkIgMBkYBE3xengw8C6xV1bSDObk7q/0c4BGRM3Fm3x9W1RT3kQS0FpF2B9O+2buf16ST2iqWlMRoggI9XHZSD2bM/80vpnl4CEHuconrT+vLtys2UVDiLMVIaBYOQJv4ZlxwfBemfFf1x4cuXbqxZctmtm5Lp7S0lNmzv2TgCSf7tV1YWEBpqTOo/eTTjzimZ18iIiJQVZ5+5lHatUnhkosvr7frr8n6nCISo0KIjwwmwCMMSInl1815fjFhQQEEeJwPu1M6xbMqo4CdpV7yd5aRW7Sbls2cmzG7t2pG+o6SBu2/MbXVtUt3NqdtIn3rFkpLS/nq6y85aeApfjEFBVW/o9Nnfkjv3n2JiIhEVXn8qX/Qrm0KIy694nB03xjTBB0VM97ugPm5vRRfJiKDgHCczdAvVlXfPRjfdeuOrs25RGQi8Gq15SaoqorII8C9QAfgrGpVP8BZfrK/NejmAJR7lTv+/Rkzx4wkwOPh9VkLWZ6Wzagz+gEw/ssFdEuOZ9Jt51Pu9bIiLZtRr8yorP/fuy8hNiqMsjIvt0/8jO1FVTt4BAQEMvrWu7n/wTvwer38bthwUlI6MH3GNADOHX4RmzZt4MlxY/F4AmjXLoW77hwDwNJli/jqf5/Svn1HbvrjVQBcd+0fOX7AwFpf29tjRzO4Xzfio6PY+NGLjJ34HpOmz95vPa/C2/M2cdfpXfAIfLMmm/QdOxnS2Zmtn/1bFknNQ7lxUAe8qqRv38mkH6p2XHlr3kZGDepAYICQVbCLf39/YLuxHGy/jTlQgYGB/PmOe/nzPbfj9ZZzzlnn0aF9Rz786H0ALjj/YjZuWs8jjz2Mx+MhJaU999/r/IVq8ZJFfP7FJ3TskMo11ztfjm+68VZOPOGkw3Y9xhydmtaMt9S4TtUcaeyHWE3Q7x+p1/bXjbu13tq2lPE1s5Tx5kBYynhj6qxRjHiD7/yoTmOc3c+e3yiuo8JRMeNtjDHGGGOOPJ4mtsbbBt7GGGOMMaZRamLjbht4m6YpokOfem2/TUrM/oMOUn0uB6nPpSBQ/0tZjKktWw5ijGmMbOBtjDHGGGMaJVtqYowxxhhjTAPwNK1xd9MdeIuIAm+p6lXucSCwFfhJVYeLyDXAOCANiMRJYDNWVb8XkYeBEFV9wKe9PsBkVe3mJtUpALxABnC1qm6rdv7XcRLv7HDjblXVH/bxugBjgD/g7FKyFRjtZt40dXBa5wSeOK8HASK8+fMm/m/2Wr/y5mFBvHRJb9rHhbOzzMtt7y5iRUYBqfERvHZFv8q4drHhPP7lb7zy7YFtn3eweiY14/L+bfGIMHdNFp8s9fsnRnhwANcNbE9iVAil5U7Cmy3bnT21w4ICuHZgCsnRYajCpO/Xs9ZNelMbE8fcxDkD+5KZl0/vK+89ovpujDGm6aiebfZI12QH3kAR0FNEwlS1BDgD2FItZqqq3gYgIkOBae5/JwOfAg/4xI4A3vE5Hqqq2SLyGPAgTmbK6u5R1fdEZBjwL6DXPl6/FRgI9FbVYrdsuoh0V1UbdRwkj8DTF/Tkgok/kb6jhFm3ncynyzNYlVlYGXPX0FSWbN3Blf+ZT6eECJ6+4BjOn/Aja7KLOPm5byrbWTHmdGZUG0DWFxG46vh2PP3lb+QW7+ZvZ3dn4ebtpO+o2kd8+DGt2JxbzIuz19CyWShXHd+OcV+uAuCKAW1ZumUHL89ZS4BHCA44sFxZb8ycw0vvfs7rfzvwrQ0Pd9+NMcY0HU1txrup/x/tU+Ac9/lInAF1jVR1Fk4K9lGqugrYLiLH+4RcCkypoepcIHU//dhbjO/r9+HMcBe7/fnCLbeUaXVwbJto1uUUsTG3mNJy5f1FWzi7ewu/mC6JkcxZkw3A6qwi2saEkRAZ7BczODWe9TnFbN7eMFkaO8RFkFmwi6zCXZR7lXkbcunbxv+GzqTmYSzf5uxVvC1/J/GRwTQLDSQ0yEPnxCjmutdU7lVKSssP6PzfLFxJbn7h/gMbYd+NMcaYxqqpD7ynACNEJBRnVnl/WSEXAF3d55NxZrkRkROAHFVdXUOd4cASN26iiBxXQ8y5FTE1vS4izYAIVV1brXw+0H0/fTb70Kp5GFu2V820pu/YSavmYX4xS7fmc27PVgD0S46mTXQYSdViLu6dxPsL0+u/w66Y8GByi3ZXHucW7yYmPMgvZnNeMce2dQa07eMiiIsIISY8mITIEAp2lXL9wPY8PLw7156YQnBgw/2qH8l9N8YY07iISJ0ejU2T/j+auz46BWe2+5NaVPH9CU0BLhERD84AvPps+SwRWQg0Ax53z3dDtVTx49yYUcD1tXh9X/3xLxAZJSLzRWT++PHj93lRR7Ma38Bq2Vr/b/ZaosOC+OaOk7nppBQWp+dT7vVWlgcFCGd1b8mHSxpu4F1Tx6un7pq5dCvhwQGMHd6D07smsim3GK8qAR6hXWwEs37L5OEZy9lV5uUc94tFgziS+26MMaZR8UjdHo1NU17jXeFj4GlgCBC3n9i+wAoAVd3s3kQ5GLgYOLFa7FBVzd5Pe/eo6nu1eV1EikSkg6qu83m5H/BFTQ2r6nicpTFgKeP3Kn1HCa2jQyuPk5qHsjV/p19Mwa4ybn13UeXx4vtOZWNu1ZKSM7oksmjLDrIKd9NQ8op2ExtRtdwlNjyY7cWlfjE7S52bEiuMu6gXWYW7CA7wkFe8m3XuDYk/b8xt0MHrkdx3Y4wxjUtjnLWuiyY94+2aBPxdVWta6lFJRAbjzEBP8Hl5MvAssFZV0+qvi4Czw8rzIhLm9ud0oAdQ08Dd1NKCtB10jIugXUwYQQHCxb1b8+mKDL+Y5qGBBAU4v9hXD2jL9+tzKdhVVll+cZ8k3l9U/b7c+rU+p4jEqBDiI4MJ8AgDUmL5dXOeX0xYUAAB7tf5UzrFsyqjgJ2lXvJ3lpFbtJuWzZwvHN1bNSN9R8OsTT/S+26MMcbUpyY/4+0OmJ/bS/FlIjIICAfWAxer6gqf8nfduqNrcy4RmQi8Wm25SW29AEQDi0UkCAgGeqrqzn3WMvtU7lXu+WgZ719/PAEe4a2fN7Myo5Brj28LwGs/baJzYiSvXtaXcq+yKrOA296r2sExLMjD0NQE7py2z+9th5xX4e15m7jr9C54BL5Zk036jp0M6ZwAwOzfskhqHsqNgzrgVSV9+04m/VC1zeFb8zYyalAHAgOErIJd/Pv7A9sC8e2xoxncrxvx0VFs/OhFxk58j0nTZx8RfTfGGNN0NMblInUhqrZKobERkUjgA+BnVX2wFlXsh1hN9H0z6rX97U8Or7e2r33z53pr+0hOGf/a1f3rrW1jjDF7aBRD3hZ/+bROY5yMR85qFNdRocnPeB+JVLUQZ99xY4wxxpijVlOb8baBtzHGGGOMaZTs5kpjjDHGGGPMAbMZb9MkFa1bWK/tb95wUr21XZ/rsOtzDTbUb99fu3qviWeN2UPW1vx6azuhVbN6a9sY48+WmhhjjDHGGNMAmtpSExt4G2OMMcaYRslmvI9gIlIIdAaeV9VLRKQPkKSqn7jlQ4Ddqvp9Hc6RgpP9ciUQChQAL6nqG275NTjJctKASGAdMLbinCLyOk62zB2AF7hVVX842P4YGNanA89ceyYBHmHS/xYy7kP/H290RCgTbhlOxxYx7Cwt48aXZ7BscxYAo8/uz3Wn9UVEmPTVrzz/yTy/uvN+/oGXX30Wb7mXs846j5GXXe1XXlCQz9PPPEr61jSCg0K4+64xtE/pSGZmBk+OG0teXg4iHs45+wIuuvCyA7quiWNu4pyBfcnMy6f3lfceUN2eSc24vH9bPCLMXZPFJ0u3+ZWHBwdw3cD2JEaFUFruZJncst1JZBMWFMC1A1NIjg5DFSZ9v561bqbJ+u63MQfqx5++57kX/4m33Mvwc87nqiuu8SvPL8jn8Sf/QXp6GsHBwTxw71/p0CGVjMxtPPLYw+Tm5iAe4bzhF3LpJSMPz0UYcxTzNLEZ76Pu5kpVTVfVS9zDPsDZPsVDgIEH0p6I1PTlZa2q9lXVbsAI4E4RudanfKpb3gl4ApgmIt18yu9R1T7A/cC/DqQ/xp/HIzx//Vmc++hket35KiNO6kG35Hi/mPsvOolF6zPod/cErn3hY565dhgAPdokcN1pfRn4wCSOvXs8Zx/bidSWMZX1ysvLeeGlp3nskWf594TJzJr1BRs3+id7eWfKG3Ts2IkJr77Nfff8jZdfeRaAgIAAbh51O5MmTuWF5yby0fT39qi7P2/MnMPZdz5xwO+JCFx1fDue/d9qxny8lONT4khqHuoXM/yYVmzOLeZv05cx4dv1XN6/bWXZFQPasnTLDh78aCl/m7GM9B0HluPpYPttzIEqLy/nmeee4uknn+OtN/7LV19/wfoN6/xi/vPWa3RK7cwbkybzlwfG8tyL/wQgICCQ2275E2+/+S7jX36NaR++t0ddY4w5UEfdwFtEUkRkqYgEA3/HyV65UETuA27GGSQvFJGTRSRBRN4XkZ/dx0luGw+LyHgR+QJ4c1/nU9V1wJ+B2/dSPgsYj5Ouvrq5QOpBX6xhQGoSa7flsj5zO6VlXqZ+t4xzj+vsF9MtOZ5ZSzcAsCo9h3YJ0SQ2j6Br63jmrd5Cye4yyr3K3OUbOX9A18p6q1YtJykpmaRWrQkKCmLIkDP47oe5fm1v3LSevn2OA6Bt2xS2ZWwlLy+HuLh4OnVy2goPj6BtmxSyszMP6Nq+WbiS3PzCA31L6BAXQWbBLrIKd1HuVeZtyKVvmxi/mKTmYSzf5tycti1/J/GRwTQLDSQ0yEPnxCjmrskGnMygJaXlDdJvYw7UipXLSG7dhtZJyQQFBXH6qWfw7Xdz/GI2bFzPsf2c5Ezt2qWwddtWcnNziI+Lp0vnqt/RlHYpZGdnNfg1GHO0E6nbo7E56gbeFVR1N/A3nNnnPqr6JPAq8Kx7/A1OuvhnVbU/cDEw0aeJY4HzVfVyETnOTRe/NwuArgdRfi7QsLnKm5ik2CjScqp2N9iSW0DruCi/mMUbMrng+C4A9E9Nol1Cc5Ljoli2OZNB3doSGxlGWHAgZ/VLpU181W4G2TlZJCYkVh4nxCeSU+1/zB3bd+Lb72YDsHLlMjIytpFVLWbbtnTWrP2Nrl17HpJr3p+Y8GByi3ZXHucW7yYmPMgvZnNeMce2dQbj7eMiiIsIISY8mITIEAp2lXL9wPY8PLw7156YQnDgUfsxYhq5rKwsEhNaVB4nJLQgK8v/9y+1YyfmfjMLgOUrlpGxbRuZWf5fgrduTee31avo3q1H/XfaGOPHI1KnR2Nj/8fct9OBF0VkIfAx0ExEKkZtH6tqCYCqzlfVG/bRzv5+8tXLx7nnHAVcX2MFkVEiMl9E5o8fP34/zR+9pIa3Xqsln33qw++IiQhj/rgbuPWs/ixcv42yci8rt+Tw9Ec/8NlfL2fmmMtZvCGDsnKvTzs1ZLGtdroRl11NYUEBN/3xKj78+F1SUzsT4AmoLC8pKWbsPx7glpv/RERERJ2utdZq+NdY/UpmLt1KeHAAY4f34PSuiWzKLcarSoBHaBcbwazfMnl4xnJ2lXk5p2erBum2MQdK9/iXvecOCVde/gcKCvK55vrLeX/aVDp16kxAQNXvaHFxMWMeuo87bvszERGR9d5nY4y/pjbjfVTdXHkQPMCJFQPsCu4Hd+3vJoO+ODdc1rb8HlV9b18Nqup4nCUqsOe4ybi25OaTHFc1S906Nor03AK/mIKS3dzw8vTK49Uv3cb6zO0AvPb1Ql77eiEA/xg5lC0+s+cJ8Yl+M2NZ2ZnExSX4tR0REcE9d/8VcAbqV/7hQlq2TAKgrKyMh//xAKedeiYnDxpa94utpbyi3cRGBFcex4YHs7241C9mZ6lzQ2WFcRf1IqtwF8EBHvKKd7POvZny5425NvA2jVZiQiKZWRmVx1lZGcTH+9/jERERyYP3PwQ4v6O/H3E+Sa2qfkf/8tB9DDv9dww+5dSG67gxpsk62me8C4CofRx/AdxWceDugnJA3F1OngZe2Ev5YJyZ7QkH2rbZv5/XpJPaKpaUxGiCAj1cdlIPZsz/zS+meXgIQe5yietP68u3KzZRUOIsxUhoFg5Am/hmXHB8F6Z8t6yyXpcu3diyZTNbt6VTWlrK7NlfMvCEk/3aLiwsoLTUGdR+8ulHHNOzLxEREagqTz/zKO3apHDJxZfX2/XXZH1OEYlRIcRHBhPgEQakxPLr5jy/mLCgAALcPZxO6RTPqowCdpZ6yd9ZRm7Rblo2c27G7N6qGek7SvY4hzGNQdcu3dmcton0rVsoLS3lq6+/5KSBp/jFFBRU/Y5On/khvXv3JSIiElXl8af+Qbu2KYy49IrD0X1jDE1vqclRM+Pt7j6yq9rLs4D73WUdjwPTgfdE5HxgNM4NkS+JyGKc92ouzg2Y1ds+DrjZZ7lJRxH5lartBF9Q1dd8qlwmIoOAcGA9cLGq7mtG3Bykcq9yx78/Y+aYkQR4PLw+ayHL07IZdUY/AMZ/uYBuyfFMuu18yr1eVqRlM+qVGZX1/3v3JcRGhVFW5uX2iZ+xvahqB4+AgEBG33o39z94B16vl98NG05KSgemz5gGwLnDL2LTpg08OW4sHk8A7dqlcNedYwBYumwRX/3vU9q378hNf7wKgOuu/SPHD6j9pjpvjx3N4H7diI+OYuNHLzJ24ntMmj57v/W8Cm/P28Rdp3fBI/DNmmzSd+xkSGdntn72b1kkNQ/lxkEd8KqSvn0nk36o2nHlrXkbGTWoA4EBQlbBLv79/YHtxnKw/TbmQAUGBvLnO+7lz/fcjtdbzjlnnUeH9h358KP3Abjg/IvZuGk9jzz2MB6Ph5SU9tx/r/MXqsVLFvH5F5/QsUMq11zvfDm+6cZbOfGE+staa4zZUyMcO9eJ1LhOtQkSkd7ABFUdcLj7Ug+Ojh/iAQj6/SP12v66cbfWW9spI2+pt7aP5JTx5T9YynhTe5Yy3pg6axRD3u5P/K9OY5zl95/WKK6jwlEx4y0iN+PMXv/pMHfFGGOMMcbUUlOb8T4qBt6q+irOVoHGGGOMMcYcFkfNUpMmzn6IpskLOLH+0nV7Uk+ot7b32L/yUAtrXm9NP3RO/3pre+x7X9Vb2wClb/2pXts35ijQKOaaj3nq6zp9iC6599RGcR0VjooZb2OMMcYYc+SxpSbGGGOMMcY0gMa4JWBdHJaBt4go8JaqXuUeBwJbgZ9UdbiIXAOMA9KASGAdMFZVvxeRh4EQVX3Ap70+wGRV7SYiG3C28PMCGcDVqrqt2vlPwEkHH+I+pqrqw27bhar6dA19/l5Va7/XmzGmwU0ccxPnDOxLZl4+va+894DrDzumHc9cNZgAjzBp9jLGzZjvVx4dHsKEG0+nY2I0O0vLuHHiVyxLywFg9LA+XDe0B4IwafZSnv984Z7t96po38Ok2UsZN72G9kedQcfE5uwsLefGCV9WtX9mH64b0hMRYdKspTz/+a/+bfdozTMjjnf6/s1vjPtsSbW2g5lwzSA6JkQ5bb/+LcvStwNwx+ndufbkzqjC0i153PDat+wqK6+s2yExkjOPaYUILNyYx/ers/3aDg3yMLxvMjERwZR5vcxYsIWsAmf31tuGdWZ3qRcvitcLk+asbbD3xBhz5Gti4+7DlkCnCOgpImHu8RnAlmoxU1W1r6p2Ap4ApolIN2AycFm12BHAOz7HQ1W1NzAfeLCG878BjFLVPkBP4L/76/DhHHSLSMD+o4wxb8ycw9l3PnFQdT0iPP+HIZw77kN63fcfRpzYmW5JsX4x95/Xn0Wbsuk35m2u/dcXPHPlYAB6JMdx3dAeDHxoKseOeZuz+7QntUV0De0P5dynPqTXvW8y4oQue7Z/fn8Wbcyi34Nvc+2rn/PMVT7tD+nJwIemcOyDb3F2X//2PSI8f/kJnPvcF/T62weMGNCBbq38137ff3YvFm3Opd/Yj7h20jc8M+J4AJKiw7n1tO6c8Mh0+j78IQEe4bIB7SvrCXBW7yQm/7CBV/+3hh7JzYmPCvFr+6TOCWTsKGHCrDV8/Esaw3r5ZzP9z3frmThr7R6D7vp8T4wxpjE6nJkrPwXOcZ+PxBlQ10hVZ+GkRx+lqquA7SJyvE/IpcCUGqrOBVJreD0RZ4YdVS1X1eU+Zd1FZLaIrBOR2yteFJFC979DRGSOiPxXRH4TkSdE5AoRmSciS0Skoxv3uoi8IiKz3LYGi8gkEVkhIq/7tDtMRH4QkQUi8q6IRLqvbxCRv4nIt8Dv9/beGGOqfLNwJbn5hQdVd0DHFqzN2MH6rHxKy71M/fE3zj22g19Mt9axzFq2GYBVW/NoFx9FYrNwuibFMG/NNkp2l1HuVeau3ML5x3Ws1n7LGtrvWK39uGrtN3Pbj2XeWt/20/zaH9A+nrVZBazPLnTa/nkd5/Zp6992q2hmrUh32t62g3ZxkSRGORlIAz2eymyl4cGBpG8vrqyXFBNGbuEutheX4lVlWdoOOreM8ms7PiqUDVlFAOQU7iY6PJiIkP3PF9Tne2KMaRqaWubKwznwngKMEJFQoBfw037iFwBd3eeTcWa5K5aN5Kjq6hrqDAeWuHET3QyTAM8Cq0TkAxG5ye1Dha7AmcAA4CERCaqh3d7AHcAxwFVAZzcxz0ScjJcVYoBTgTtxsmI+C/QAjhGRPiISD/wFOF1V++HM0PtmONmpqoNUtaYvFcaYQygpJpK03ILK4y25hbSOifSLWbwpmwvcwV3/Di1oF9+M5NhIlqXlMKhLa2IjQwkLDuSs3im0iY2s1n5EtfYLaB0TUa39LC7on1pD+9nV2m9Pm7iqwW9SdDhpuUVVbecV0zq6WttpuVzQr53Tdko87eIiSY6JIH17Mc9+sZR1T17K5qdHkF+ym6+Wp1fWiwoLIr+ktPK4YGcZUWH+H4uZO3bSJamZ25cwmocFERXqxihcPjCF64d0pG+7mAZ7T4wxTYNH6vZobA7bwFtVFwMpOLPdn9Siiu/bNwW4REQ8OAPw6rPls9w08M1wUsGjqjeo6nz3+d+B44AvgMuBz3zqzlTVXaqaDWQCLWroy8+qulVVdwFr3XbAGeSn+MRNV2e/xiVAhqouUVUvsMyNOwHoDnzn9vcPQDuf+lP3+maIjBKR+SIyf/z48XsLM8bUUk0TI9W3W31q+nxiIkKZ/8jl3HpGbxZuzKLM62Vleh5Pz/yFz+67kJn3XMDiTdmUef3rSg0nqL5HltN+CPMfvYJbh/Vh4cbMqvZnzOez+y9i5r0XsHhTFmXl3v20Xa3vny4hJjyE+X87j1tP7cbCzTmUeb1Ehwdzbp+2dHrgXdreM4Xw4EAuP75qpr82/9/6bnUWYUEB3DC0I/07xrFtRwkVl//6N+v49+y1TP5+A8d1iKVtXHiDvCfGmKZBROr0aGwO964mHwNPA0OAuP3E9gVWAKjqZvcmysHAxcCJ1WKHugPnvVLVtcArIjIByBKRivPv8gkrp+b3yDfG63PsrRa/q4YY37hy4EtV3dsGxUV7eR1VHY+z/AZsH29j6mxLbiHJsVUzpq1jI0nf7v8rWLBzNzdM+LLyePUz17I+00lN/tqcZbw2ZxkA//j9QLbk+i952bP9KNLzqrVfspsbxvu0/+x1rM+qof1L/dvfkldEcmzVTHHrmHC/5SJO30u54fVvq9p+/BLWZxcyrEdrNmQXkF3ofER9+OtGTuyYyDs/rQMgv6SUZj4z3FGhgRT4zIAD7C7zMv3Xqtt0bhvWme3FuwEo3FkGQPHuclZtLSApJoxNOcX1/p4YY0xjdDiXmgBMAv6uqkv2FSQig4FRwASflyfjLN1Yq6ppB3JSETlHqr4GdcIZAG8/kDYOkR+Bk0Qk1e1XuIh0Pgz9MOao9/O6DFJbRpOS0IygAA+XndCZGQvW+cU0Dw8mKMD52Lx+SA++XbWFgp3OADOhmXOveJu4KC44riNTflhVrf1tNbS/tlr7IT7t9+TblWkUlNTUfipTvq9q/+cN2aQmNiMlPtJpu38HZiza7N92mE/fT+7Mt6szKNhZyubcQgZ0SCAs2FmTfWrXJFZu21FZL317CbGRIUSHB+ERoUdyc37bVuDXdkiQp3ItZd92MWzKLmJ3mZegACE40DlnUIDQPiGSzPyqOYj6fE+MMU1DU1tqclhnvN0B83N7Kb5MRAYB4cB64GJVXeFT/q5bd3RNlasTkYnAq+5yk6uAZ0WkGCgDrlDV8ob+k4SqZrlbJ04WkYptAv4C/NagHTGmiXh77GgG9+tGfHQUGz96kbET32PS9Nm1qlvuVe54czYz77mAAI/w+tzlLN+Sy6hTjwFg/NdL6JYUy6SbzqTc62XFllxGTazKvvjf288hNjKUsnIvt78xm+3Fu/Zs/41ZzLz3Qqf9Octqbv/mYZR71WnfZ3b9v3cMd9ov83L7G7P82i/3Kne88yMz/zSMABFe/241y9O3M2pwF6ftOavo1qo5k647xen71h2MesOZ/Z63Pptpv2xg3l/Oo8yrLNqUw4S5VQNYVfhscTojB6bgEWHhxjyyC3bRL8VZr71gQx7xkSGcf2wyXoXsgp3McGe/I0IC+f3xzk2eHhGWpu1gXWahf7/r6T0xxjQNjfEGybqwlPFNg/0QTZNnKeP3wlLG18hSxhtTZ41ixDvohbl1+hD9dvQpjeI6KhzuNd7GGGOMMcbUqKnNeB/uNd7GGGOMMcYcFWzG2xhzRKjP5SDeNT/WW9unXHlrvbUNsDhtx/6DDtJP7o4t9WHQicftP8gYc9RrajPENvA2xhhjjDGNUmPci7subOBtjDHGGGMapca4JWBd7HfgLSIKvKWqV7nHgcBW4CdVHe5uhzcOSAMigXXAWFX9XkQeBkJU9QGf9voAk1W1m5sEpwAnoUwGcLWqbqt2/hNwtg0McR9TVfVht+1CVX26hj5/r6oDD+SNONRE5P+Aaao6t9rrQ4C7q713W4AgnARBV6tqsYjcBhSp6msN2W9jGrthx7TjmasGE+ARJs1exrgZ8/3Ko8NDmHDj6XRMjGZnaRk3TvyKZWk5AIwe1ofrhvZAECbNXsrzny88oHNPHHMT5wzsS2ZePr2vvPeA+96/bTS3DepAgEeYuTyDyQv8UxBEhgRw76mdSWoWyu5yL099vZoNuU6ymYjgAO4Z2on2ceGowlNfr2Z5RtV+2qd2TuDx4d3xeIS3ft7Mc3Oq7YcdGsgLl/QmJTacXWVeRr+/iJUZhaTGRzBxZN/KuJTYcB7/6jf+9d2Gytf6JUdz48D2eAS+XJnJe4u2+LUdERzAHYNTadkslNJyL8/NWcumvKp+jz4llXaxYajCc3PWsMpnS8H6fE+MMUe+pjbwrs3SmSKgp4iEucdn4AwUfU1V1b6q2gl4ApgmIt1wktxcVi12BPCOz/FQVe0NzAcerOH8bwCjVLUP0BP47/46fDgH3SISICKxwAnVB917MVVV+6hqD2A3Ve/XJOD2+uqnMUcijwjP/2EI5477kF73/YcRJ3amW1KsX8z95/Vn0aZs+o15m2v/9QXPXDkYgB7JcVw3tAcDH5rKsWPe5uw+7UltEX1A539j5hzOvvOJg+w73HFKR+6fsYxr3lnAaZ0SaBcT5hdzxbFtWJNdyA1Tf+Xxr35j9MlVqdtHn9yBeZvy+MM7C7hh6q9szCv2a/up83pw6WvzGPjsHC7qnUSXxEi/tu8cmsqSrfmc8vw33PLuQh4f3gOANdlFDHnhW4a88C2nvvgtxaXlzFyW4df2zYM68PCny7n13YWckhpPm2j/fl/aN5l1OUXc/v4inp21hlEDUyrLbhzYngWb8/jjfxdy+/uLSNte0iDviTHGNEa1XbP+KXCO+3wkzoC6Rqo6CyeV+ShVXQVsF5HjfUIuBabUUHUukFrD64k4M+yoarmqLvcp6y4is0VknYhUDlJFpND97xARmSMi/xWR30TkCRG5QkTmicgSEenoxr0uIq+IyCy3rcEiMklEVojI6z7tDhORH0RkgYi8KyKR7usbRORvIvIt8HvgEuAzn3q/E5GVbvlFNb1v7l8SIoA891qLgQ0iMqCmeGOORgM6tmBtxg7WZ+VTWu5l6o+/ce6xHfxiurWOZdYyJ2vjqq15tIuPIrFZOF2TYpi3Zhslu8so9ypzV27h/OM6HtD5v1m4ktz8g0tL3jUxivQdO9mav4syr/L16ixOah/nF5MSE84C92bJzdtLaBEVQkxYEOFBAfRKas4nK5wBcZlXKdpdXlmvX5to1ucUszGvhNJy5YNF6ZzVrYVf210So5i7JhuA1VlFtIkJIyEy2C/mlNR4NuQU+w2OOyVEsnVHCRkFTr/nrs3m+BT/LzttYsJZvMXpd9qOEhKjQokOCyIsKICeLZvxxarMGvtdn++JMaZp8IjU6dHY1HbgPQUYISKhQC/gp/3ELwC6us8n48xyVywbyVHV1TXUGQ4sceMmikjFLe/PAqtE5AMRucntQ4WuwJnAAOAhEQmqod3ewB3AMTgZKzur6gBgIv5ZL2OAU4E7genueXsAx4hIHxGJx8kqebqq9sOZof+zT/2dqjpIVacAJwG/uNcSipPq/lzgZKBltf5dJiILcf6KEOueu8J8t44xBkiKiSQtt2opwZbcQlrH+M/sLt6UzQXugLp/hxa0i29Gcmwky9JyGNSlNbGRoYQFB3JW7xTaxPrXrU/xkcFkFlZlVswq3EV8hP/Ad21OEad0cAaeXRMjaRkVSkJkMK2ah7K9pJT7Tu3E+Ev7cPfQVEIDqz6+WzULZcuOqsFyev5OWjUP9Wt72dZ8hvd0Pn76JTenTXQYSc38Yy7qlcS0xel+r8VFhJBdtLvyOKdoN3HV+r0+p4gT3QFzp4RIEiNDiIsIpmWzEHbsLOVPg1P5v4t6MfqUjoT49Ls+3xNjTNPgqeOjsalVn1R1MZCCM9v9SS2q+H7FmAJcIiIenAF49dnyWe7AsxnwuHu+G9zU7qjq34HjgC+Ay/GZSQZmquouVc0GMgH/KR7Hz6q6VVV3AWvddsAZ5Kf4xE1XJ43nEiBDVZeoqhdY5sadAHQHvnP7+wegnU/9qT7PWwFZ7vOuwHpVXe22/1a1/k11l9G0dM99j09ZJpBUwzUhIqNEZL6IzB8/fnxNIcY0OTVNXlTPvvvU9PnERIQy/5HLufWM3izcmEWZ18vK9DyenvkLn913ITPvuYDFm7Ip8zZc0tea5l2qn/2dX9KIDAlkwmV9uLBXEquzCin3QoAInRMi+XjZVkb9dyE7S72M7Je877arNf7cnLVEhwYxe/QgbhyYwpKt+X7XHxQg/K5bCz5asnX//a7W9nsLtxAZEshzF/Xm3J4tWZddRLlXCRChY3wknyzfxp+mLWZnaTmX9GndIO+JMaZpaGoz3geyq8nHwNPAECBu36H0xblREFXd7N5EORi4GDixWuxQd+C8V6q6FnhFRCYAWSJScf5dPmHl1Hw9vjFen2NvtfhdNcT4xpUDX6rq3vJWF/k8LwF8p5L2+393VVURmY4zC1+xiDTUbaum+PE4S3pq1b4xTcGW3EKSY6Mqj1vHRpK+vcgvpmDnbm6Y8GXl8epnrmW9ux/1a3OW8dqcZQD84/cD2ZJ7cMtGDkZW4W4SI0MqjxMiQ8jxmUkGKC4t56mvq/4gOPmq49iav5OQIA9ZhbtYkeH0d87abC73GWSm5++kdfOqtdFJzULZlr/Tr+2CXWWMfn9x5fGv9w5lU17Vx8vpnRNZnL6DrEL/PmUX+c9Cx0UEk1vsH1NSWs5zc9ZUHk8c2Y+Mgl2EBHrILtrFb1lOv79bn8Mlfar6XZ/viTHGNEYHMgs/Cfi7qi7ZV5CIDAZG4SyvqDAZZ+nGWlVNq7Hi3ts7R6o2ceyEMwDefiBtHCI/AieJSKrbr3AR6byX2BVUrVdfCbSvWE+O81eDvRmEMytfoTOw9OC7bEzT8vO6DFJbRpOS0IygAA+XndCZGQvW+cU0Dw8mKMD5aLt+SA++XbWFgp3OYC6hmTM4bRMXxQXHdWTKD6sarO8rMwto3TyMllEhBHqEUzsl8P2GXL+YiOAAAt1b+M/p3oLF6fkUl5aTV1xKZuGuypsa+yVHs8HnRsJf03bQIT6CtjFhBAUIF/ZO4tMVGX5tNwsNJCjAafuq/m34YX0uBbvKKssv6p3EtEX+y0wAVmcVktQ8jBZuv0/pGM+8jXvv97CuiSzbmk9JaTnbS0rJLtxNa3fZS+/W0Wz26Xd9vifGmKbBI3V71IZ7L94qEVkjIvfXUB7jLnle7N4n2NOnLFpE3nPv5VshItUnmP3UesbbHTA/t5fiy0RkEBAOrAcuVtUVPuXvunVH11S5OhGZCLzqLje5CnhWRIqBMuAKVS1v6A3VVTXL3f5vsohUTNH8BfithvCZwE3ARFXdKSKjgJkikg18i7M7S4WK986DsyXjNT5lJwFjD+mFGHMEK/cqd7w5m5n3XECAR3h97nKWb8ll1KnHADD+6yV0S4pl0k1nUu71smJLLqMmflVZ/7+3n0NsZChl5V5uf2M224t37e1UNXp77GgG9+tGfHQUGz96kbET32PS9Nm1qutVeP6btTx1Xk88Ap+uyGBDbjHn9nDWXU9fto12MeE8cHpnvKpsyC1m3Kyqmd7nv1nHmDM6E+jxsDV/J09+XfXRU+5V7vt4Ke9eN4AAEd6Zn8aqzEKuGdAWgNfnbaJzYiQv/74PXq+yKrOQ299fVFk/LMjDkE7x/PmDPedVvAqvfreOsWc5WxV+tSqDTXkl/M69efOzFRkkR4fx56Gd8KqyKa+E531mv//1/TruOrUzgR4ho2An/zd7jV/b9fWeGGOahvpeLiIiAcBLOLv2pQE/i8jH1TbzeBBYqKoXikhXN/40t+w54DNVvUREgnHGwns/X/X1kebQcHcwGa6q2w+yfl/gzxX7p++H/RBNkxd01d6+99edpYyv2cD2MfXWdmGpt97aBph166B6bd+Yo0CjWCB94YQf6jTG+eDGE/d5He4M9cOqeqZ7/ACAqj7uEzMTeFxVv3WP1wIDcZYDLwI6aC0H1I3xhs+m4i6gbR3qxwN/PUR9McYYY4w54tT15krfzSjcx6hqp2gNbPY5TnNf87UIdztod5vndkAy0AFnM43XRORXd1e+iH1eTx3eC7MPqvqTuxvMwdb/UlU3HMIuGWOMMcYcVVR1vKoe5/OovhVcbTZYegKIcXe1Gw38irP8ORDoB7yiqn1xNtrYY424rwPZ1cQYYw6felwWV5/LQea+9VK9tQ1w3nX1l+D2gxv3eY9QnQScuK/7zA8BW2piTJPQACnj04A2PsfJgN+d5qqaD1wL4G74sd59hANpqlqR3+Y99jPwthlvY4wxxhjTKDXAPt4/A51EpL17c+QInC20K7k7l1Tsq3oDMFdV81V1G7BZRLq4ZacBvjdl7sFmvI0xxhhjTKNU3zPeqlomIrcBnwMBwCRVXSYiN7vlrwLdgDdFpBxnYH29TxOjgbfdgfk63JnxvTnsA28RGYOTkbIcJ1nNTThZII+rnlhHRM4DuqvqE3s0dJi4u48sAH6nqp/7vF6Ok4kyEGdf7z+oarGIJONsQ9Md5wf8CXCXqu5yF+xXrD0SnLtsP2i4qzGm8RvWqx3PXDWYAI+HSbOXMm76fL/y6PAQJow6g46JzdlZWs6NE75kWVoOAKPP7MN1Q3oiIkyatZTnP//Vr27/ttHcNqgDAR5h5vIMJi/wTzsQGRLAvad2JqlZKLvLvTz19Wo25Dp7R0cEB3DP0E60jwtHFZ76ejXLMwqorYljbuKcgX3JzMun95X3HvD70jc5mutPTMEjzpZ/1ffkjggO4LbBqbSMCqG0XHlx7prKBDrhwQHcenJH2saGgyovzl3LqsyGSy60L3V9X4wxZn9U9ROqZWZ3B9wVz3/AySVTU92FOBnWa+WwLjVxt3AZDvRT1V7A6fjfWepHVT8+XINud5/HmozE2Zu7+oLFElXto6o9gd3Aze66oGnAh6raCeeHGAY85dZZivOFow/wO+BfInLYvxwZ01h4RHj+D0M596kP6XXvm4w4oQvdkmL9Yu4/vz+LNmbR78G3ufbVz3nmqsEA9EiO47ohPRn40BSOffAtzu7bntQW0T5twx2ndOT+Gcu45p0FnNYpgXYxYX5tX3FsG9ZkF3LD1F95/KvfGH1yh8qy0Sd3YN6mPP7wzgJumPorGw8wmcsbM+dw9p0H9/HmERh1Unv+8dkKbn9vIYM6xpMc7d/3S/oksz6niDunLea52au5/sT2lWU3nJjCr2nbGf3uQu6ctpjN22tMmHtY1OV9McYc+TxInR6NzeFe490KyFbVXQCqmq2qFdM0o0VkgYgscTcrR0SuEZEX3eevi8grIjJLRNaJyGARmeRmDXq94gQiUigiT4rILyLylYgMEJHZbp3z3JgAERknIj+7WYlucl8f4rb/Ds7stR93IH0JTtKbYSISWj3G9Q1OJstTgZ2q+pp7veXAncDVIhKpqsWqWpFKLhTbn9sYPwM6tmRtxg7WZ+VTWu5l6o+/ce6xHf1iurWOY9Yy5/v7qq15tItvRmKzcLomxTJv7TZKdpdR7lXmrkzj/OOq6nZNjCJ9x0625u+izKt8vTqLk9rH+bWdEhPOAnff7M3bS2gRFUJMWBDhQQH0SmrOJ262yDKvUrS7/ICu7ZuFK8nNP7hZ5k4JkWzN30lGgdP3b9dmM6Cd/x7cyTFhLNni9H3Ljp0kRoXQPCyIsKAAurdqxlerMiv7XnyAfa9PdXlfjDFHvobIXNmQDvfA+wugjYj8JiIvu+nmK2Sraj/gFeDuvdSPwRnM3glMx0lL3wM4RkT6uDERwGxVPRYoAB7ByU50IfB3N+Z6YIeq9gf6AzeKSMV00ABgjKp2B3C3kqlwErBeVdcCs4Gzq3fQnbE+C2fg3gP4xbfcvVN2A26KeRE5XkSWufE3+wzEjTnqJcVEkJZbtXxjS24BrWP8t0xdvCmLC/qnAtC/QwvaxTcjOTaSZWnZDOrSmtjIUMKCAzmrd3vaxEVV1ouPDCazsCqTZVbhLuIjgv3aXptTxCkdnMF418RIWkaFkhAZTKvmoWwvKeW+Uzsx/tI+3D00ldDAhvt4jY0IJtun7zlFu4mLCPGL2ZBTxAntnb8OdEqIJCEyhLiIYFpEhZBfUsbowR3554W9uOXkDoQ0YN+NMWZfGuDmygZ1WD9dVbUQOBYYhbMB+VQ3LTs4SzLAGaim7KWJ6W6moCVAhqouUVUvsMynzm7gM/f5EmCOqpa6zytihuHMOi8EfgLiqFrLM09V1/v0uY/P+UcCU9znU/BfbhLmtjcf2AT8G2fddk2z2JX/Mtz9v3vgfAF4YG+z6L4bwo8fX31LSmOaJqnhQ7T6L9RT0+cTExHC/Eev4NZhfVi4MZMyr5eV6Xk8PWM+n91/ETPvvYDFm7IoK6/KnlibjVzf+SWNyJBAJlzWhwt7JbE6q5ByLwSI0Dkhko+XbWXUfxeys9TLyH7Jdb7e2qq57/69n7YonYjgQJ65qBdn92jJupwivF4lwCN0iI/gs+UZ3PXBYnaVebmod/XcEcYYc3g0tRnvw75+2F1uMRuYLSJLgD+4RRXTN+XsvZ8VMV6f5xXHFXVKfdJ4Vsapqtdn/bQAo31vjgRnqQnOZuh7cNd8Xwyc594gKkCciESpagHuGu9qdZa5dXxfawa0AFb5vq6qK0SkCOiJM3inWvl4qm7EtCUp5qiwJbeQ5NiqWerWsVGk5/n/ihaU7OaG8V9WHq9+9jrWZ+UD8NqcZbw2ZxkA/7h0IFtyq5YwZBXuJjGyapY4ITKEnKLdfm0Xl5bz1NerK48nX3UcW/N3EhLkIatwFysynPbmrM3m8gYceOcU7Sbep+9xEcHkVut7SWk5L85dW3n8rxF9ySjYRUigh5yiXazOcvr+/focG3gbY0w9Odw3V3YREd+7RPsAGw9DVz4H/igiQW6/Ou8v5SfOjaCLVLWNqqaoajvgfeCCfdT5HxAuIle75wkA/gm8qKol7h6SgW5ZO6ALzjIUYwzw87ptpLaMJiWhGUEBHi47oTMzFqz1i2keHkJQgPPRdv2Qnny7Mo2CEmcQmtDMueGwTVwUFxyXypTvq77vrswsoHXzMFpGhRDoEU7tlMD3G3L92o4IDiDQnUI5p3sLFqfnU1xaTl5xKZmFu2jj3tDYLzmaDQd4c2VdrM4qpFWzUBLdvg/qGM/Pm/L8YsJ9+n5Gl0SWbSugpLSc7SWlZBftJqm588e1XknNSctrPDdXGmOObk1tqcnhnvGOBF4QkWic1JtrcJadDG/gfkzEWXaywL1hMou9DKBFZKE7kz0SqL7V3/vAH4H/1FRXVVVELgReEpG/AgnAVFV91A0ZBNwvIqU4s/O3VN9S0ZijWblXueONWcy890ICPMLrc5axfEsuo049BoDxXy+hW1Isk24eRrlXWbEll1ETqma//3vHcGIjQykr83L7G7PYXlz1hzKvwvPfrOWp83riEfh0RQYbcos5t0dLAKYv20a7mHAeOL0zXlU25BYzblbV7Pfz36xjzBmdCfR42Jq/kye//u2Aru3tsaMZ3K8b8dFRbPzoRcZOfI9J02fXqq5XYcL363norG54RPjfqkw255VwZrcWAHy+IoM20WHcPiQVr0JaXrHf7PeE79Zz59BOBHqEjIJdvDBnzQH1vT7V5X0xxhz5Gt/QuW5E6zENs9k3ERkITAYuUtVf9he/D/ZDNE1e0JX/V29tDzqx1luwHjBLGV+z+k4ZX/7D5Hpt35ijQKMY8456a36dxjjjrzyuUVxHhcM9431UU9XvgXaHux/GGGOMMY1RY1wuUhe2Z5QxxhhjjDENwGa8jTFHhrDm9db0YjcpTn2oz6UgAB9Per7e2n48MWr/QQepvt8XY0zT0Bi3BKwLG3gbY4wxxphGqTGmfa8LG3gbY4wxxphGyWa8DzE3+czlOIlyvMBNwFTguOpb6YnIeUB3VX2iwTu6FyLSF1gA/M43AY+IlONkxwwEVgB/UNViEUkGXgK6AwHAJ8BdqrpLRFLc2IrNhX9U1Zsb7GKMOQIM69GaZ0YcT4BHmPTNb4z7bIlfeXR4MBOuGUTHhCh2lpZz4+vfsix9OwB3nN6da0/ujCos3ZLHDa99y66y8sq6p3ZO4PHh3fF4hLd+3sxzc6rtER4ayAuX9CYlNpxdZV5Gv7+IlRmFpMZHMHFk38q4lNhwHv/qN/713Qa/+n2To7n+xBQ8Iny1KoNpi9L9yiOCA7htcCoto0IoLVdenLuGTe6e2uHBAdx6ckfaxoaDKi/OXcuqzEJqY+KYmzhnYF8y8/LpfeW9tarjK23Vr8z7aBKqXjoNOI1eQy/yK99VXMh3775EQc42AoKCOen3txLTsi0A7z5+M0EhYYh48HgCOPeOpxrFe2KMMYfDYR14i8iJOHt293MHnvFA8N7iVfVj4OOG6p8vEQlws2xWNxL41v2vb+bLysyVIvI2cLOIPAtMA15R1fPdBDrjgaeAO9x6a6tnvDTGODwiPH/5CZz17Oek5RXz45hzmbFoEyu2Vq3Rvv/sXizanMvvX/6aLi2b8/zlJ3DmM5+TFB3Orad1p9ffPmBnaTnv3DSEywa0583v17htw1Pn9eDif/9Eev5Ovrp1EJ+tyPAbyN05NJUlW/O5+q1f6JQQwVPn9eTCf//EmuwihrzwbWU7Sx84jZnLMqr1HUad1J6HP1lOTtFunrrgGOZtzCNte1Wymkv6JLM+p4gnv1xF6+ahjDqpAw99shyAG05M4de07Yz7328EeoTgwNrfG//GzDm89O7nvP63Ww74Pfd6y/npgwkMu/FvhDePY8YL99G2e3+iW7SpjFn89fvEJrXn1D/cx/bMNH76cCJnjnq4svx3N40lNKLZHm0fzvfEGHNksF1NDq1WQLaqVqRxz1bViumO0SKyQESWiEhXABG5RkRedJ+/LiKviMgsEVknIoNFZJKIrBCR1ytOICKFIvKkiPwiIl+JyAARme3WOc+NCRCRcSLys4gsFpGb3NeHuO2/gzN77cdNtnMJcA0wTERC93Kd3wCpwKnATlV9zb3ecuBO4GoRiazLG2nM0WBA+3jWZhWwPruQ0nIvU39ex7l92vrFdGsVzawVzsfIqm07aBcXSWKU86sZ6PEQFhRAgEcIDw4kfXtVdsl+baJZn1PMxrwSSsuVDxalc5abgKZCl8Qo5q5x/hC3OquINjFhJET6zxWckhrPhpxiv8EjQKeESLbm7ySjYBdlXuXbtdkMaBfjF5McE8aSLc6XiC07dpIYFULzsCDCggLo3qoZX63KBKDMqxTvrmkeoGbfLFxJbv7BzQRnb15DVHxLouJaEhAYRPveg9i07Ge/mB2ZabRKdZIYRScmU5ibSUnB9v22fTjfE2PMkcEjdXs0Nod74P0F0EZEfhORl0VksE9Ztqr2A14B7t5L/RicweydwHTgWaAHcIyI9HFjIoDZqnosUAA8ApwBXAj83Y25Htihqv2B/sCNItLeLRsAjFHV7uBkrvQ5/0nAelVdC8wGzq7eQTcF/Fk4A/cegF+iHFXNx0kLn+q+1F5EfhWROSJy8l6u25ijUlJ0OGm5RZXHW/KKaR0d4RezOC2XC/o52+P3T4mnXVwkyTERpG8v5tkvlrLuyUvZ/PQI8kt289XyqmUNrZqFsmVH1WA5PX8nrZr7f5detjWf4T2dTJb9kpvTJjqMpGb+MRf1SmLaYv/lEgCxEcFkF1Zlyswp2k1cRIhfzIacIk5oHws4g9KEyBDiIoJpERVCfkkZowd35J8X9uKWkzsQ0kCzu8U7coloHl95HNE8luL8HL+YmFYpbFz6IwBZm1ZTuD2Loh1OjCB8MeHvTH/uHlb9+IVfvSP1PTHGNJymljL+sH5KqWohcCxOmvgsYKqIXOMWT3P/+wtOOveaTFcn9eYSIENVl6iqF1jmU2c38Jn7fAkwR1VL3ecVMcNwZp0XAj8BcUAnt2yeqq736XMfn/OPBKa4z6e4xxXC3PbmA5uAf+NkgaopA1PFv4ytQFtV7Qv8GXhHRPb8+ywgIqNEZL6IzB8/fnxNIcY0OVLDh6hW+5V66tMlxISHMP9v53Hrqd1YuDmHMq+X6PBgzu3Tlk4PvEvbe6YQHhzI5cd3qGq7hvNVT+z73Jy1RIcGMXv0IG4cmMKSrfmUeauCggKE33VrwUdLtu7Z95rar9b3aYvSiQgO5JmLenF2j5asyynC61UCPEKH+Ag+W57BXR8sZleZl4t6t66hxfqwr48sxzFDL2R3SREfPXsXK77/hNik9ng8AQCcfcujnPenpzn9+r+w8ofP2LZu2V5aqTjbkfCeGGMaiqeOj8bmsN9c6S63mA3MFpElwB/cooppkHL23s+KGK/P84rjijql7uDcL05Vve5sNDif/6N9b44EZ6kJUEQN3PXZFwPnuTeIChAnIlGqWoDPGm+fOsvcOr6vNQNaAKvcJTcV/ftFRNYCnXEG735UdTzO+nCwlPHmKLElr4jk2KoZ7tYx4X7LRQAKdpZyw+vfVh6vfvwS1mcXMqxHazZkF1TOsH7460ZO7JjIOz+tA5wZ7tbNwyrrJTULZVv+Tv+2d5Ux+v3Flce/3ju08kY/gNM7J7I4fQdZhbv36HtO0W7iI6tmc+Migskt8o8rKS3nxblVN3T+a0RfMgp2ERLoIadoF6uznOUi36/PabBBZnjzOIp2VN3nXrQjl/BmsX4xwaHhDLr0NgBUlfee+CORsYlufSc2LLI5bXscT/bmNbTs0AM4ct8TY4w5WIf1y4CIdBGRTj4v9QE2HoaufA78UUSC3H51FpGI/dQ5HVikqm1UNUVV2wHvAxfso87/gHARudo9TwDwT+BFVS0RkQT3NUSkA86s+7q6XJgxTcnPG7JJTWxGSnwkQQEeLuvfgRmLNvvFNA8LJijA+Wi7/uTOfLs6g4KdpWzOLWRAhwTCgp2Z2FO7JrFyW9VNmb+m7aBDfARtY8IIChAu7J3Epyv8b5BsFhpIUIAzT3tV/zb8sD6Xgl1lleUX9U7aY1eOCquzCmnVLJTEqBACPcKgjvH8vCnPLyY8OIBAd1HiGV0SWbatgJLScraXlJJdtJskd+lLr6TmpOWV7HGO+hCfnEp+9lYKcjMoLytl/aJvadP9OL+YXSVFlJeVArB63le0bN+d4NBwSnfvpHSn08/S3TtJX72I6JZVa/KP1PfEGNNwRKROj8bmcM94RwIviEg0UAaswVl2MryB+zERZ9nJAveGySz2MoAWkYXuTPZI4INqxe8DfwT+U1NdVVURuRB4SUT+CiQAU1X1UTfkFODvIlKGM9N/s6rm1uG6jGlSyr3KHe/8yMw/DSNAhNe/W83y9O2MGtwFgPFzVtGtVXMmXXcK5V4vK7buYNQbzuz3vPXZTPtlA/P+ch5lXmXRphwmzF3l1/Z9Hy/l3esGECDCO/PTWJVZyDUDnIHi6/M20Tkxkpd/3wevV1mVWcjt7y+qrB8W5GFIp3j+/MEe92ED4FWY8P16HjqrGx4R/rcqk815JZzp3sD5+YoM2kSHcfuQVLwKaXnFfjO9E75bz51DOxHoETIKdvHCnDW1ft/eHjuawf26ER8dxcaPXmTsxPeYNH12rep6AgI44fwb+HLiP1Cvl9T+pxLTsi0rf3D+QNj1xDPZkZnGN1OeRzweolu04aRLnN1TdhZs5+s3ne0D1VtO+z4nk9ylatvFw/meGGOODI3xBsm6EK2+iNE0GBEZCEwGLlLVX/YXvw/2QzRNXtCNr9Vb283iE+ut7VM6xO4/qA7qM2X8I/ePqbe252UW1FvbAB/ceGK9tm/MUaBRDHkffG9RncY4j13Su1FcR4XDPeN9VFPV74F2h7sfxhhjjDGNUWPcmaQuGuMNn8YYY4wxxjQ5NuNtjDkiPHRO/3pr+6fM/Hpru76XPDyeGFVvbf/liUf3H3SQyn+YXG9tG2OajqY2Q2wDb2OMMcYY0yg1sZUmNvA2xhhjjDGNU1Nb491kB94iosBbqnqVexyIkxnyJ1Ud7mbIHAek4WxruA4Yq6rfi8jDQIiqPuDTXh9gsqp2E5ENOOnnvUAGcLWqbquhD4HANmBCtbZmA62AnUAhcJ2qrhKRYOAp4FycnUpWAreo6qZD9b4Yc6TrkBjJmce0QgQWbszj+9XZfuWhQR6G900mJiKYMq+XGQu2kFXgJM25bVhndpd68aJ4vTBpzlq/uv2So7lxYHs8Al+uzOS9RVv8yiOCA7hjcCotm4VSWu7luTlr2ZRXXFk2+pRU2sWGoQrPzVnDqszCenwn/KWt+pV5H01C1UunAafRa+hFfuW7igv57t2XKMjZRkBQMCf9/lZi3D213338ZoJCwhDx4PEEcO4dTx3QuSeOuYlzBvYlMy+f3lfee8iuyRhjmpomO/DGyTjZU0TCVLUEOAPYUi1mqqreBiAiQ4Fp7n8nA58CD/jEjgDe8TkeqqrZIvIY8CBwew19GAasAi4VkQfVf+/GK1R1voiMwvkCcB7wGBAFdFbVchG5FvhIRI5VVe9BvQvGNCECnNU7ibe/W09+SRnXD+nAb9sKyC6oSlx7UucEMnaU8N68TcRFBvO73km8/d2GyvL/fLeekt3le7TtEbh5UAf+OnMZOUW7eebCXvy0MZfN26uSslzaN5l1OUU89uUqkpuHcfOg9vxl5nIAbhzYngWb83jiq1UEeoSQwIZbmej1lvPTBxMYduPfCG8ex4wX7qNt9/5Et2hTGbP46/eJTWrPqX+4j+2Zafz04UTOHPVwZfnvbhpLaESzgzr/GzPn8NK7n/P6326p66UYY4yfpjXf3fTWrFf3KXCO+3wkzoC6Rqo6CycF+yhVXQVsF5HjfUIuBabUUHUukLqXZkcCzwGbgBP2EjMXSBWRcOBa4E5VLXf79BrOjPjpe+u3MUeTpJgwcgt3sb24FK8qy9J20Lml/82F8VGhbMgqAiCncDfR4cFEhATst+1OCZFs3VFCRsEuyrzK3LXZHJ/ivwd3m5hwFm9xsl2m7SghMSqU6LAgwoIC6NmyGV+sygSgzKsU1TC4ry/Zm9cQFd+SqLiWBAQG0b73IDYt+9kvZkdmGq1SjwEgOjGZwtxMSgq2H5Lzf7NwJbn5DTe7b4w5enhE6vRobJr6wHsKMEJEQoFewE/7iV8AdHWfT8aZ5UZETgByVHV1DXWGA0vcuIkicpz7PAw4DZjhtjVyL+c8162fCmxS1erbK8wHuu+n38YcFaLCgsgvKa08LthZRlRYkF9M5o6ddElyZm6TosNoHhZEVKgbo3D5wBSuH9KRvu1i/OrFRYSQXbS78jinaDdxEcF+MetzijixfRzgDNQTI0OIiwimZbMQduws5U+DU/m/i3ox+pSODTrjXbwjl4jm8ZXHEc1jKc7P8YuJaZXCxqU/ApC1aTWF27Mo2uHECMIXE/7O9OfuYdWPXzRYv40xZn9E6vZobJr0wFtVF+Okgh8JfFKLKr4/oinAJSLiwRmAV58tnyUiC4FmwOPu+W5Q1flu+XBglqoW46SSv1BEfKfd3nbrnwTc7Z67puxMjfCfjTGHR21+Gb5bnUVYUAA3DO1I/45xbNtRgtf9zXr9m3X8e/ZaJn+/geM6xNI2LnyfbVdP7Pvewi1EhgTy3EW9ObdnS9ZlF1HuVQJE6BgfySfLt/GnaYvZWVrOJX1aH/R1Hrj9f3QcM/RCdpcU8dGzd7Hi+0+ITWqPx+N8JJ19y6Oc96enOf36v7Dyh8/Ytm5ZA/TZGGP2z1PHR2PTlNd4V/gYeBoYAsTtJ7YvsAJAVTe7N1EOBi4Gqm/GO1RVs9m7kcBJbhu45x4KfOUeX+EzSEdEcoF2IhKlqr65lPsB71Vv3F0bPgrgX//6F6NGjdrPpRlz5MsvKaWZzwx3VGggBT4z4AC7y7xM/7Xqdo7bhnVme7Ezk124swyA4t3lrNpaQFJMGJtynJsjs4t2Ee8zwx0XEUxu8W58lZSW89ycNZXHE0f2I6NgFyGBHrKLdvFblrPc4rv1OVzSJ/lQXHKthDePo2hH1cdR0Y5cwpv5L5MJDg1n0KW3AaCqvPfEH4mMTXTrO7Fhkc1p2+N4sjevoWWHHg3Ue2OMOXo0xi8Dh9ok4O+qumRfQSIyGGcgO8Hn5cnAs8BaVU2r7QlFpBkwCGirqimqmgLcyt6Xm6CqRcAbwDMVM+MicjXOziff1RA/XlWPU9XjbNBtjhbp20uIjQwhOjwIjwg9kpvz27YCv5iQIE/lur6+7WLYlF3E7jIvQQFCsLv8IyhAaJ8QSWZ+1U2Zq7MKSWoeRouoEAI9wikd45m3Mdev7YjgAAI9TtvDuiaybGs+JaXlbC8pJbtwN62bhwLQu3U0m93dThpCfHIq+dlbKcjNoLyslPWLvqVN9+P8YnaVFFFe5nxJWT3vK1q2705waDilu3dSutO5gbR0907SVy8i2t3txBhjDremtsa7yc94uwPm5/ZSfJmIDALCgfXAxaq6wqf8Xbfu6NqcS0QmAq8CPYGvVXWXT/FHwFMiErKPJh7A2eFklbtGPAs4sdpuKMYctVThs8XpjByYgkeEhRvzyC7YRb8UZ732gg15xEeGcP6xyXgVsgt2MsOd/Y4ICeT3xzsDSo8IS9N2sM5nuz+vwqvfrWPsWd3xeISvVmWwKa+E33VrAcBnKzJIjg7jz0M74VVlU14Jz/vMfv/r+3XcdWpnAj1CRsFO/m92VVl98wQEcML5N/DlxH+gXi+p/U8lpmVbVv7wOQBdTzyTHZlpfDPlecTjIbpFG066xNmBZGfBdr5+09k+UL3ltO9zMsld+h7Q+d8eO5rB/boRHx3Fxo9eZOzE95g0ffahvERjzFGq8Q2d60ZsTNc4iUhL4DPgZVUdv59w+yGaJu+RD5fWW9v1mTJ++qiB9dY2wOMf1d/7YinjjTmqNYox79PTl9VpjHP3uT0axXVUaPIz3kcqNyFPn8PdD2OMMcaYw0Ua4XKRujga1ngbY4wxxhhz2NmMtzHGGGOMaZSa2gyxDbyNMUeEse99tf+ggzToxOP2H3SQAk7c62ZGh8R5191eb23X5zrs+n5fbA25MU1DU1tqYgNvY4wxxhjTKHma1ri7yc3gG2OMMcYY0yg1yhlvERkDXA6UA17gJmAqcFz1bJEich7QXVWfaPCO1sDNVFmR0SMAmAb8Q1V3iUgKTmbMlUCoG/eSqr5RrY1FwHJVrd+/xRpzBBrWqx3PXDWYAI+HSbOXMm76fL/y6PAQJow6g46JzdlZWs6NE75kWVoOAKPP7MN1Q3oiIkyatZTnP//Vr27/ttHcNqgDAR5h5vIMJi/wz5sVGRLAvad2JqlZKLvLvTz19Wo25DqJciKCA7hnaCfax4WjCk99vZrlGf7JffZl4pibOGdgXzLz8ul95b0H/L70TY7m+hOd/c2/WpXBtEXpfuURwQHcNjiVllEhlJYrL85dw6Y8J3FOeHAAt57ckbax4aDKi3PXsspnj/PDqa7vizHmyNbUZogb3fWIyInAcKCfqvYCTgc27y1eVT8+XIPuigyTNRiqqscAA4AOgO8+3GtVta+qdgNGAHeKyLU+bXbD+bmcIiIR9dR1Y45IHhGe/8NQzn3qQ3rd+yYjTuhCtyT/1Oj3n9+fRRuz6Pfg21z76uc8c9VgAHokx3HdkJ4MfGgKxz74Fmf3bU9qi2iftuGOUzpy/4xlXPPOAk7rlEC7mDC/tq84tg1rsgu5YeqvPP7Vb4w+uUNl2eiTOzBvUx5/eGcBN0z9lY0HmLnyjZlzOPvOg/so8wiMOqk9//hsBbe/t5BBHeNJjvbv+yV9klmfU8Sd0xbz3OzVXH9i+8qyG05M4de07Yx+dyF3TlvM5u0lB9WP+lCX98UYc+QTkTo9GptGN/AGWgHZFVkfVTVbVSumbkaLyAIRWSIiXQFE5BoRedF9/rqIvCIis0RknYgMFpFJIrJCRF6vOIGIFIrIkyLyi4h8JSIDRGS2W+c8NyZARMaJyM8islhEbnJfH+K2/w6wzzT0qloI3AxcICKxNZSvA/4M+N4ddTnwH+AL4LwDf/uMaboGdGzJ2owdrM/Kp7Tcy9Qff+PcYzv6xXRrHcesZc539VVb82gX34zEZuF0TYpl3tptlOwuo9yrzF2ZxvnHVdXtmhhF+o6dbM3fRZlX+Xp1Fie1j/NrOyUmnAVpOwDYvL2EFlEhxIQFER4UQK+k5nyyIgOAMq9StLv8gK7tm4Uryc0/uFnmTgmRbM3fSUaB0/dv12YzoF2MX0xyTBhLtjh937JjJ4lRITQPCyIsKIDurZrx1arMyr4XH2Df61Nd3hdjzJHPU8dHY9MY+/QF0EZEfhORl0VksE9Ztqr2A14B7t5L/RjgVOBOYDrwLNADOEZE+rgxEcBsVT0WZ7nHI8AZwIXA392Y64Edqtof6A/cKCIVU0QDgDGq2h1ARBbu7WJUNR8nHX2nvYQsALr6HF+Gs6xmMmBLTYzxkRQTQVpu1fKNLbkFtI7x/8PQ4k1ZXNA/FYD+HVrQLr4ZybGRLEvLZlCX1sRGhhIWHMhZvdvTJi6qsl58ZDCZhbsqj7MKdxEfEezX9tqcIk7p4AzGuyZG0jIqlITIYFo1D2V7SSn3ndqJ8Zf24e6hqYQGNtzHa2xEMNk+fc8p2k1cRIhfzIacIk5o73z/75QQSUJkCHERwbSICiG/pIzRgzvyzwt7ccvJHQhpwL4bY8y+iNTt0dg0uk9Xd5b4WGAUkAVMFZFr3OJp7n9/AVL20sR0VVWc2egMVV2iql5gmU+d3Tjp2HHj5qhqqfu8ImYYcLU7qP4JiKNq8DxPVdf79LnPfi5rXz/6yjIR6Q9kqepG4H9APxGJqbGSyCgRmS8i88eP319GeWOahpr+bFg9l/BT0+cTExHC/Eev4NZhfVi4MZMyr5eV6Xk8PWM+n91/ETPvvYDFm7IoK/dWtV3D+aq3/c4vaUSGBDLhsj5c2CuJ1VmFlHshQITOCZF8vGwro/67kJ2lXkb2S67z9dZWzX337/20RelEBAfyzEW9OLtHS9blFOH1KgEeoUN8BJ8tz+CuDxazq8zLRb1bN0zHjTHmKNMob65U1XJgNjBb5P/bu+84uaryj+Of7yYkQBIINbRIpCR0QhURNTSlWbCAYMFGUAERrIiKsdEtgIoBURSk/lRKpEpHUANJDCGhhw4JJJAKpDy/P86dZHaZ3SR7752dnf2+ec2LmXvvPPfs7mT33HOf8xxNBI7IdlWGdBbRftsrxyyuel55XXnPgqxz3uq4iFgsqXKMgGMj4sbq4JJGAHOX92uRNIDUmX8EWL3GITuQJlxCGuHeIpugCbAa8FHggrZviojRLM0db9s/MGtKz82Yw0ZrLh2l3nDNATw/s/U/x9nz3+SLo29e8vrRX3yeJ6fPAuAPd0ziD3dMAuDHh+zOczOWpjBMn/Mm6/ZfOkq8Tv++vDL3zVax5y1YxOm3Prrk9aWf3pkXZr1O35VamD7nDSa/lOLd8fjLHF7Hjvcrc99k7aq2r9WvDzPatH3+gkWce+fjS17/7hM78NLsN+jbu4VX5r7Bo9NT2//15CvueJtZw2hpxGHrHBpuxFvSMEnVaRnDgae6oCk3Al+WtFLWrqErOtlRUn/gN8DfI2Jmjf1DgDOBcyS1AB8HtouIIRExBPgQTjcxW+K/T7zIZusNZMg6q7FSrxYO3W0o1z3weKtjVl+1Lyv1Sr/avjBiG+6e8iyz56dO6DqrpQmHg9cawId33ozL/vXwkvdNmTabDVdfhfUG9KV3i9hr83X419QZrWL369OL3llR2QO3GsT/np/FvAWLmDlvAdPmvMHgbELjjhsNZOoKTq7M49Hpc1h/tZVZN2v7HpuuzX+fbv0rZ9Wqtu87bF0mvTib+QsW8er8Bbw89002WH1lALbbYHWendk4kyvNrGdTzkejacQR7/6kjuhAYCHwGCnt5KA6t+MC0kj1A0r3t6cDH651oKTxbdJNbsve0wL8Dfhx1b5NJY1jaTnBcyLiD9lI+nMR8VzVsXcCW0laPyJeKOKLMuvOFi0OjrvoNsZ862B6tYg/3jGJh56bwci9tgVg9K0T2XKDNbnwS+9j0eJg8nMzGHn+0tHvK447iDX7r8zChYv56kW38eq8pTfFFgecfdfjnP7BbWgRXD/5JabOmMcHtl4PgGsnvcjGa6zKifsMZXEEU2fM44zblo5+n33XE5y071B6t7TwwqzXOe3WR1boa7tk1LG8d8ctWXvgAJ66+lxGXXAVF157+3K9d3HA+f96kpP335IWiX8+PI1nZs7n/VsOAuDGyS8xeOAqfHXEZiwOeHbmvFaj3+ff8yTH77k5vVvES7Pf4Jw7Hluhtpcpz/fFzLq/Zhvx1tKMC+vG/EO0prfSp35ZWuwyl4y/8+JflxYbyl0y/m9HvrO02F4y3qzhNUSP9w83P5Krj/O5fYc2xNdR0XCpJmZmZmZmzagRU03MzMzMzBpj2L1ATjVpDv4htvX6wnLjr1zeNev0F2aVFnud9VcrLTZ077ZbcykzlcVpLNZDNESf90+3PJqrj/OZfTZviK+jwiPeZmZmZtaQmmxupXO8zczMzMzqwSPeJZAUwM8j4uvZ628A/SPih5J+CMyJiDOrjp8K7BwRL0taRFpBszdpqflPR8Srdf4Smsqd99zFT087lcWLF/Hxgz/KyC8c2Wr/a7Ne47s/+D5PP/sMffv04WejfsLQzVMp+RN/8D1uv/MO1lpzTa7769V1bfd9//4Xvzr3LBYvWsxBB36IT3/ys632z5o9i1NO+zHPP/8sffr04cRvfZ9NNtmMl6a9yE9+9kNmzHgFtYgPHnQwh3ysvuXgu3Pbree44KSjOHD3HZg2cxbbf+pbXd0cM6uh2UaIm+3raRRvAB+RtHYn3js/IoZHxDbADODoYpvWsyxatIgf/eynXPCb8xjzt2u47oZ/8NjjrWsUn3fB+Wy5xRZce9XfOO2np/DT009Zsu8jH/owF/z2d/VuNosWLeLnvzqdM0/7FRdfdAW33HoTT059otUxf774D2y+2VAuuvBSvnfiKH517lkA9OrVm2O+8jUu+dOVjP7NH/jr3696y3vddjO4aMwdHHD8qV3dDDPrgKRcj0bjjnc5FpKWcz8+Z5x7Aa/dnMP/HpzIxoMHM3ijwfRZqQ8H7ncA/7z9tlbHPP7E4+y26zsA2PTtm/Dc88/z8isvA7DLTjuz+mqr173dk6dMYqMNB7PhBhux0korsc9e+3L3PXe0OmbqU0+y0467ALDxxkN44cUXmDHjFdZea22GDd0CgFVX7ceQjYfw8svT3XazNu4aP4UZs+Z0dTPMrAMtOR+NphHb1Cx+DXxSUq1e2/GSxlcewAZtD5DUC9gbuKbcZja3l6a9xHrrrb/k9aB1B/HSSy+1OmaLocO4+Z+3APC/if/j+Ree58U2x9Tb9OnTWXedQUter7POIKZPb90B3WzTzbnzrnQR8dDkSbz04otMmz6t1TEvvPA8jzz6MFttuXX5jc5057abmVlj8Yi3LZeImAX8Cai1rNwvsnSS4dlS889X7Vsl64y/AqwJ3Fzj/UgaKWmspLGjR48utvFNpFa1zLb/EEd+/ovMmjWLDx3yEf586V/Ycost6N2rV51aWFvUqBDZtt2fOvwIZs+exWe/cDj/99fL2XzzofSqave8efM46eRvc9wxJ9CvX//S21zRndtuZmZWJk+uLNcvgQeAP6zAe+ZHxPBspPw6Uo732W0PiojRpHQWcB3vdq03aBAvvvjCktcvTXuJddddt9Ux/fv355Qf/xSAiGDvA97HRhtuVNd2trXuOusybfrSUffp019i7bVbTxno168/3/3OyUBq98c/8SE2WD/dPFm4cCHfO/nbvG+f/Xjve/aqX8Pp3m03M7PG0oCD1rl4xLtEETEDuAL4Qife+xpptPwbklYqum09xbZbb8PUp5/mmWef5c0FbzLmhn+w13v3bHXMrFmzeHPBmwBc+der2HnHnenfv2tHWbcYthXPPPs0z7/wHAsWLOCWW2/mXbu/p9Uxs2fPZsGCBQBcO+bvbL/9DvTr15+I4JTTf8zGbxvCJw75pNtuZmbdVj1yvCXtJ+lhSY9J+k6N/WtI+puk/0n6j6Rt2uzvJWmcpOuWdS6PeJfvLOCYzrwxIsZJmgB8Avhzoa3qIXr37s0PTjyJL355JIsWL+ajHz6YzTfbjEuvuByAww45lMeffIJvf+9EWlp6sdkmm/LTUT9a8v4Tvv0N/jP2v8x89VXes+9eHPvlo/n4Rz5al3afcNy3OOGbX2Xx4kUcuP8H2eTtm/L3q/8PgA9/6KM89fST/ORnP6SlpYUhQ97Od771fQD+N3ECN970DzbdZDM++4XDATjqyKN5527vKr3d3b3t1rNcMupY3rvjlqw9cABPXX0uoy64iguvvb2rm2VmVcrO087m1P0a2Bd4FvivpGsi4qGqw74LjI+IgyVtkR2/d9X+44DJwDKXWPaS8c3BP8S2vGR8TV4y3noKLxlvlltDJHn89c4ncvVxPvKeTTr8OiS9E/hhRLw/e30iQEScUnXMGOCUiLg7e/04sHtEvCRpI+Ai4KfACRFxUEfnc6qJmZmZmTWl6mIU2WNkm0M2BJ6pev0sby3lPAH4SBZvV2BjoDIZ7JfAt4DFy9Mep5qYmZmZWUPKO0LcphhFLbVGxNuOsp8K/CqrOjcRGAcslHQQMC0i7pc0Ynna4463NacSU0HK1p1TKrpz2625lJkO4jQWs/qpQy3uZ4HBVa83onWZ50qJ6M9l7RHwZPb4BPBBSQcAKwOrSbo4Ij7V3smcamJmZmZmDUk5H8vhv8Dmkt4uqQ+pM91q8UJJA7N9AF8E7oyIWRFxYkRsFBFDsvfd2lGnGzzibWZmZmY9VEQslHQMcCPQC7gwIiZJ+lK2/zxgS+BPkhYBD9GJMtEV7niXQNKciOhf9fqzwM4RcYykH5KS8IdExLS2x2c/1Imkn82TwKcj4tX6fgVmZpbXBScdxYG778C0mbPY/lPf6urmmHVLLXWorRIR/wD+0WbbeVXP7wU2X0aM24Hbl3Uup5p0jZeBr7ezb362lPw2wAzSypVmZtbNXDTmDg44/tSuboZZtyYp16PRuOPdNS4EDpW05jKOu5e3lrQxM7Nu4K7xU5gxa05XN8OsW6tDjnddOdWkHKtkJWcq1qR1ov4cUuf7OODkWgGylZT2Bn5fUhvNzMzMGlo9Uk3qySPe5aikiwyPiOHAD2occzZwhKS29dcqnfZXSB32m2udoLog/OjRHZWnNDMzM7NG4BHvLhIRr0r6C/CVNrvmR8RwSasD15FyvM+u8f7qgvBeMt7MzMyaTiPmaefhEe+u9XPgKGpcAEXEa8BXgW9IWqneDTMzMzPras2W4+2OdxeKiJeBvwF929k/DphAKspuZmbdyCWjjuWe83/EsI3X56mrz+XzHxjR1U0y63ZalO/RaBThLIUm4B+imVmdeMl46yEaott6y31P5erj7LPbxg3xdVQ4x9vMzMzMGpIao/9fGHe8zczMzKwhNdncSne8zczMVkSZ6SBlprGAU1ms+2nEPO083PE2MzMzs4bUbKkmrmpiZmZmZlYH7njnJOlrklYt6jgzM7NlueCko3hhzHlMuPj0rm6KWamkfI9G4453fl8DlqdDvbzHmZmZdeiiMXdwwPGndnUzzErnjncPJqmfpDGSJkh6UNLJwAbAbZJuy475raSxkiZJGpVt+2qN4+ZUxf2YpD9mzz+exZ4g6c46f4lmZtYN3DV+CjNmzVn2gWbdXAvK9Wg0nly5YvYDno+IAwEkrQ58DtgzW4US4KSImCGpF/BPSdtFxNmSTmhzXHt+ALw/Ip6TNLCkr8PMzMys4TXiqHUeHvFeMROBfSSdJundEfFajWMOkfQAMA7YGthqBc9xD/BHSUcCvdo7SNLIbGR97OjRo1fwFGZmZmZWbx7xXgER8YiknYADgFMk3VS9X9LbgW8Au0TEzCx9ZOX2wlU9X3JMRHxJ0juAA4HxkoZHxCs12jIaqPS4vWS8mZmZNZ0mG/D2iPeKkLQBMC8iLgbOBHYEZgMDskNWA+YCr0kaBOxf9fbq4wBekrSlpBbg4KpzbBoR/46IHwAvA4NL+4LMzMzMGliLlOvRaDzivWK2Bc6QtBhYAHwZeCdwvaQXImJPSeOAScATpLSRitHVxwHfAa4DngEeBPpnx50haXPSRd4/gQl1+LrMzKwbuWTUsbx3xy1Ze+AAnrr6XEZdcBUXXnt7VzfLrHAN2HfORRHOUmgC/iGamTUBLxlvDaQhurz/Gfdcrj7Orjts2BBfR4VHvM3MzMysITXbkvHueJuZmZlZQ2pprn63O95mZmaNouxUkDJTWZzGYmVothxvd7zNzMzMrCE1W6qJywmamZmZmdWBO945SVokabykByVdW1nmXdIQSfOzfQ9JOk9SS9X2cZImS/qPpCOq4n1W0vTsfZXHiq5+aWZm1ikXnHQUL4w5jwkXn97VTTGjRfkejcYd7/zmR8TwiNgGmAEcXbXv8YgYDmxHWjr+w1Xbd4iILYFPAMdL+lzV+y7PYlYeD5X/ZZiZmcFFY+7ggONP7epmmAEpxzvPo9G4412se4EN226MiIXAv4DNaux7AjgB+GrprTMzM1uGu8ZPYcasOV3dDDMg5Xjn+a/RuONdEEm9gL2Ba2rsWzXbN7Gdtz8AbFH1+tA2qSarFN5gMzMzs0annI8G4453fqtIGg+8AqwJ3Fy1b9Ns3z3AmIi4vp0YbT8abVNN5r/lDdJISWMljR09enT+r8LMzMzMSuVygvnNj4jhklYHriPleJ+d7avkeC/LDsDkFTlpRIwGKj1uLxlvZmZmTacR87Tz8Ih3QSLiNVKe9jckrbS875M0BDgTOKekppmZmZl1S87xtnZFxDhgAqlSSUc2rZQTBK4AzomIP1Ttb5vjvXtZbTYzM6t2yahjuef8HzFs4/V56upz+fwHRnR1k6wHa7aqJopwlkIT8A/RzMyWyUvG2wpoiG7rQw+9lKuPs9VWgxri66hwjreZmZmZNSQ14rB1Du54m5mZmVlDaq5utzveZmZmZtagmmzA2x1vMzOznqLMPGznj1sZmi3VxFVNzMzMzMzqwB1vMzMzM7M6cMe7RJIWZXW4J0maIOkESS3ZvhGSXquq1X1L1fuulnRv17XczMyseBecdBQvjDmPCRef3tVNsW6i2ep4u+NdrvkRMTwitgb2BQ4ATq7af1e2f3hE7AMgaSCwIzBQ0tvr3mIzM7OSXDTmDg44/tSuboZ1I5JyPRqNO951EhHTgJHAMer4k/BR4FrgMpa9AqaZmVm3cdf4KcyYNaerm2HdiHI+Go073nUUEU+QvufrZpveXZVqclK27TDg0uxR3hRxMzMzM6srd7zrr/oCrDrV5KeSBgGbAXdHxCPAQknb1AwijZQ0VtLY0aNH16PdZmZmZnXVbKkmruNdR5I2ARYB04AtaxxyKLAG8GT2YVmNlG7yvbYHRsRooNLjjjLaa2ZmZtaVGrDvnItHvOtE0jrAecC5EdFeR/kwYL+IGBIRQ4CdcJ63mZmZ9VCuamIrYpVKOUHgFuAmYFStAyUNAd4G3FfZFhFPArMkvaMObTUzMyvVJaOO5Z7zf8SwjdfnqavP5fMfGNHVTTKrK7U/+GrdiH+IZmbWpbxkfNNpiPHip56YkauPs/EmazbE11HhHG8zMzMza0wN1W3Ozx1vMzMzM2tIjZinnYc73mZmZpZbmekgTmOpbd/f3l1a7Ju/vEdpsVeEmmzI25MrzczMzMzqwCPeZmZmZtaQnGpihZM0Fdg5Il6WdCFwEDAtImquWmlmZmZvdcFJR3Hg7jswbeYstv/Ut7q6OXWz8+CBfGWPTWiRuH7yS1w+7tlW+/v36cXX9xzKBquvzJsLF3PW7Y8ydcY8APr16cUJIzZnyJqrAnDmbY8y+aXZdf8a2tOIq0/m4VSTnCQVffHyR2C/gmOamZk1vYvG3MEBx5/a1c2oqxbBse/elO9eN4kvXvYAe262Dm9bY5VWxxy202Aef2UOR10xjtNvfYSvvGuTJfu+sscmjH1mJl+47AGOumIcT8+cV+8voUPK+Wg07nhnJPWTNEbSBEkPSjpU0lRJp0n6T/bYLDv2j5J+Luk24DRJm0q6QdL9ku6StEV23Ack/VvSOEm3SBqUbV9L0k3Z9t9R9dmIiDuBGV3wLTAzM+vW7ho/hRmz5nR1M+pq2LoDeP6113lx9hssXBzc/th0dh+yVqtjNl5jVcY9+xoAz7w6n0ED+jJwlZVYdaVebLv+6lw/+SUAFi4O5r65qO5fQ0e8cmXz2g94PiK2z1I8bsi2z4qIXYFzgV9WHT8U2Ccivg6MBo6NiJ2AbwC/yY65G9gtInYALgMq971OBu7Otl9DWrHSzMzMbIWs3a8P0+e+seT1y3PfYO1+fVod88Qrc9ljk9QZH7ZufwYNWJl1+vVh/dVW5rX5C/jmnpvz248N54QRm7Fyb3cNy+Tv7lITgX2yEe53R8Rr2fZLq/7/zqrjr4yIRZL6A7sDV0oaD/wOWD87ZiPgRkkTgW8CW2fb3wNcDBARY4CZK9pYSSMljZU0dvTo0Sv6djMzM2sCtQZ12y71eNkDzzKgb2/O+/hwPrzNBjz28hwWBfRqEZuv059rJ73Al68az+sLFnPoDhvVo9nLTVKuR6Px5MpMRDwiaSfgAOAUSTdVdlUfVvV8bvb/FuDViBheI+w5wM8j4hpJI4AfthOrM+0dTRppzx3LzMzMuqfpc99knX59l7xeu19fXpn7Zqtj5i1YxJm3Pbrk9Z8/uTMvznqdvr1bmD7nDaZMS+k5dz7xMp9osI53PUjaD/gV0Au4ICJObbN/DeBCYFPgdeDzEfGgpMHAn4D1gMXA6Ij4VUfn8oh3RtIGwLyIuBg4E9gx23Vo1f/vbfu+iJgFPCnp41kcSdo+27068Fz2/Iiqt90JfDI7fn9gjQK/FDMzM+shHp42mw0HrsJ6A/rSu0WM2Gwd7p3aeqpYvz696N2SRn/333IQE1+YxbwFi5g5fwHT577BRgPTZMwdNhzIU402ubLkHG9JvYBfA/sDWwGHSdqqzWHfBcZHxHbAZ0iddICFwNcjYktgN+DoGu9txSPeS20LnCFpMbAA+DJwFdBX0r9JFyntLZ31SeC3kr4HrETK555AGuG+UtJzwH3A27PjRwGXSnoAuAN4uhJI0qXACGBtSc8CJ0fE7wv8Os3MzJrSJaOO5b07bsnaAwfw1NXnMuqCq7jw2tu7ulmlWhxw7l2Pc8pB29AiuHHKSzw1cx4HbbUeANc99CJvW2NVvr3XUBZF8PTMeZxVNfr967ue4MS9h9K7VwsvzHqdM299pKu+lK6yK/BYRDwBIOky4EPAQ1XHbAWcAhARUyQNkTQoIl4AXsi2z5Y0GdiwzXtbUYSzFNpTXV+7q9uyDP4hmplZ0/KS8bWVvGR8QyRIT3t+Vq4+zqANVz8KGFm1aXSWrguApI8B+0XEF7PXnwbeERHHVB3zM2DliDhB0q7Av7Jj7q86Zggpo2GbLBuiJo94m5mZmVlDyjs/ss2cuJqnqPW2Nq9PBX6VFdGYCIwjpZlkbVR/4P+Ar3XU6QZ3vDsUEUO6ug1mZmZmPZXKXwbnWWBw1euNgOerD8g605+DNJcPeDJ7IGklUqf7koj467JO5lST5uAfopmZWSeUmcYC3TqVpSFSTV55cXauPs5a6w3o8OvIViB/BNibVBDjv8DhETGp6piBpAIcb0o6Enh3RHwm64RfBMyIiK8tT3s84m1mZmZmPVJELJR0DHAjqZzghRExSdKXsv3nAVsCf5K0iDRx8gvZ298FfBqYmKWhAHw3Iv7R3vk84t0c/EM0MzPrBI94t6shRrxn5BzxXnMZI9715jreDUDSVElrSxos6TZJkyVNknRcV7fNzMzM4IKTjuKFMecx4eLTu7opPUvZhbzrzB3vnLLcoKKscCF2MzMzK99FY+7ggONPXfaBVijlfDQad7wzkvpJGiNpgqQHJR2ajUSfJuk/2WOz7Ng/Svq5pNuA0yRtKukGSfdLukvSFtlxH5D0b0njJN0iaVC2fS1JN2Xbf0f22YiIFyLigez5bKBSiN3MzMy60F3jpzBj1pyubkbP02Q9b3e8l9oPeD4ito+IbYAbsu2zImJX4Fzgl1XHDwX2iYivk+pDHhsROwHfAH6THXM3sFtE7EBazfJb2faTgbuz7dcAb2vbmKwQ+w7Avwv7Cs3MzMysy7jjvdREYJ9shPvdEfFatv3Sqv+/s+r4KyNiUVY0fXfS0vDjgd8B62fHbATcKGki8E1g62z7e4CLASJiDDCzuiHLU4hd0khJYyWNHT26o7rwZmZmZt1Tkw14u5xgRUQ8Imkn4ADgFEk3VXZVH1b1fG72/xbg1YgYXiPsOcDPI+IaSSOAH7YTa4nlLcTeZiUmVzUxMzOzpqMGnCCZh0e8M5I2IBVHvxg4E9gx23Vo1f/vbfu+bET6SUkfz+JI0vbZ7tVJxdgBjqh6253AJ7Pj9wfWqLwX+D0wOSJ+XtCXZmZmZmYNwB3vpbYF/pOli5wE/CTb3lfSv4HjgOPbee8ngS9ImgBMAj6Ubf8hKQXlLuDlquNHAe+R9ADwPuDpbHulEPteksZnjwOK+OLMzMys8y4ZdSz3nP8jhm28Pk9dfS6f/8CIrm6SdUNeQKcDkqYCO0fEy8s6tov5h2hmZtYJXkCnXQ2R4zHr5bm5+jirrd2vIb6OCud4m5mZmVmDaqh+c27ueHcgIoZ0dRvMzMzMeqomm1vpVJMm4R+imZlZAyozlaXkNJaG6PLOfmVerj7OgLVWbYivo8KTK83MzMzM6sCpJmZmZmbWkJot1cQj3nUmaVFWJnCSpAmSTpDUku3bV9L9kiZm/9+rq9trZmZm5brgpKN4Ycx5TLj49K5uSsNRzv8ajTve9Tc/IoZHxNbAvqSVMk/O9r0MfCAitiUtuPPnLmqjmZmZ1clFY+7ggONP7epmNKYmWzPeHe8uFBHTgJHAMZIUEeMi4vls9yRgZUl9u66FZmZmVra7xk9hxqw5Xd2MhtRk/W53vLtaRDxB+jms22bXR4FxEfFG/VtlZmZmZkVzx7sxtLook7Q1cBpwVLtvkEZKGitp7OjRo8tun5mZmVn9NdmQt6uadDFJmwCLgGnZ642AvwGfiYjH23tfRIwGKj1u1/E2MzOzptOIEyTzcMe7C0laBzgPODciQtJAYAxwYkTc06WNMzMzM+tiLidoea1SKScI3ALcBIzK9h0DbAZ8PztmvKS2ud9mZmbWRC4ZdSz3nP8jhm28Pk9dfS6f/8CIrm6SlcRLxjcH/xDNzMwakJeMz+f1117P1cdZefWVG+LrqHCqiZmZmZk1JDVZrolTTczMzMzM6sCpJs3BP0QzM2ta+/727tJi3/zlPUqLXbaS01gaYqj5zdlv5Orj9BnQtyG+jgqPeJuZmZmZ1YFzvM3MzMysITXUcHUB3PEumaRFwETS93oycEREzFuO7RWXRcSp9W63mZlZo9l58EC+sscmtEhcP/klLh/3bKv9/fv04ut7DmWD1VfmzYWLOev2R5k6Yx4A/fr04oQRmzNkzVUBOPO2R5n80uy6fw1d4YKTjuLA3Xdg2sxZbP+pb3V1c1aMJ1faCpofEcMjYhvgTeBLy7m98nCn28zMerwWwbHv3pTvXjeJL172AHtutg5vW2OVVsccttNgHn9lDkddMY7Tb32Er7xrkyX7vrLHJox9ZiZfuOwBjrpiHE/PnFfvL6HLXDTmDg44vnt2J5psxXh3vOvsLtICOcu73czMzIBh6w7g+dde58XZb7BwcXD7Y9PZfcharY7ZeI1VGffsawA88+p8Bg3oy8BVVmLVlXqx7fqrc/3klwBYuDiY++aiun8NXeWu8VOYMWtOVzfDcMe7biT1BvandRpJre2rVK1aOV7SoXVuqpmZWcNZu18fps99Y8nrl+e+wdr9+rQ65olX5rLHJqkzPmzd/gwasDLr9OvD+qutzGvzF/DNPTfntx8bzgkjNmPl3u4CdQtNNuTtT135VpE0HhgLPA38fhnb26aaXF4rqKSRksZKGjt69OhyvwIzM7MuVqsP1bbO3GUPPMuAvr057+PD+fA2G/DYy3NYFNCrRWy+Tn+unfQCX75qPK8vWMyhO2xUj2ZbTsr5X6Px5MryzY+I4SuwfblExGig0uN2HW8zM2tq0+e+yTr9+i55vXa/vrwy981Wx8xbsIgzb3t0yes/f3JnXpz1On17tzB9zhtMmZbSLe584mU+4Y53t9Bkcys94m1mZmaN7+Fps9lw4CqsN6AvvVvEiM3W4d6pM1od069PL3q3pJ7a/lsOYuILs5i3YBEz5y9g+tw32Ghgmoy5w4YDeaoHTa60xuER78ZTSUGpuCEivtNVjTEzM2sEiwPOvetxTjloG1oEN055iadmzuOgrdYD4LqHXuRta6zKt/cayqIInp45j7OqRr9/fdcTnLj3UHr3auGFWa9z5q2PdNWXUneXjDqW9+64JWsPHMBTV5/LqAuu4sJrb+/qZvVIXjK+OfiHaGZmTctLxtfWE5aMj/kLcvVxtMpKDfF1VHjE28zMzMwaVEP1m3Nzx9vMzMzMGlKzTa4kIvzoQQ9gZHeN79jN1XZ/X5ordnduu78vzRW7O7e9O39f/Fi+h6ua9Dwju3F8x65//O4au+z4jl3/+N01dtnxHbv+8btr7HrEt2Vwx9vMzMzMrA7c8TYzMzMzqwN3vHuesteXLzO+Y9c/fneNXXZ8x65//O4au+z4jl3/+N01dj3i2zK4jreZmZmZWR14xNvMzMzMrA7c8TYzMzMzqwN3vM3MzMzM6sAdbzMzMzOzOnDHu4eQ1CJpB0kHStpL0qCubpN1TvZz/JikLUuIvYqkL0r6efY4XFKfnDHfIWmCpDmS7pW0VVHtbXOeFkmHlBG7TFm7W7LnfSTtKGnNEs7TP4s9sOC4+0j6avbYvcjY7ZyvlN9dknpJ+mQZscuKL2kNSdsVFGuLqud92+zbrYhztHPeXcqK3V1IWqnGtrW7oi1WPne8m5ykTSWNBh4DTgUOA74C3CzpPkmfq/zR72T8d0r6taT/SZou6WlJ/5B0tKTVC2j/zpKOl3SGpB9JOqSoTomkdSUdnLX185J2zfO9qEdsST8ALgc+CoyRdGTuxi6NvS0wGXg3MBV4Cng/cI+kgZJ+0snQvwa+AawF/Bz4Rf7WvlVELAaOKSM2lPNZlPRh4AXgOUkfAu4CzgT+J+kDOWP/pur5HsBDwFnAREkH5ImdxRws6QHg+8AQ4O3AKZJukNRX0hfznqPqXKtn/45uAR7IGWs1SSdKOlfS+5QcCzwB5L5wq0P827NzrAlMAP4g6ed54wJ/qXp+b5t9v6FAkrbK/g09Cvy2yNhtzvO5guJsIWlvSf3bbN8vZ9w9JT0LPC/pJklDqnbflCd2Fv9bVc8/3mbfz/LGt85xOcEmJ+lS0i+2u6LNDzsbOToMmBkRF3Ui9vXA88DVwFhgGrAyMBTYE/gA8POIuKYTsT8LfBV4Eri/Tex3AQ8C34+IpzsRe0/gO8CawLg2sTcFrgLOiohZjRQ7iz8J2CUi5klaC7ghIgoZMZJ0G/CziLi5zfZ9gD8CkyLi/Z2I+0BE7Nje6yJJ+j4wn3RxMreyPSJm5Ij5Wcr7LI4D9gdWIXWidomIhyVtDPxfROyco91Lvs/Zz/brEfGApE2AK/LEzmJeA/w1Iv7YZvtngK8B5Pk5S1oF+CBwOLAjMAD4MHBndpHV2bhXAzNJncu9gTWAPsBxETG+s3HrGH9cROyQXdgMjoiTJf0vInKNfFfitn1e63Un429M+ntzGLAQ2BjYOSKm5om7jHM+HRFvyxnjq8DRpEGJ4aSf49XZvly/yyT9F/hsREyS9DHgFODTEXFfQd/z6t8Bdfs9bB3r3dUNsHJFxGEd7HsJ+GWO8J+OiJfbbJtDGpF6ADhLnb9d1g94V0TMr7VT0nBgc2CFOzvAAcCRtTpKknoDBwH7Av/XYLEBXo+IeQAR8UpRI/SZ9dt2urPz3CJpAXBwJ+MOlPSR9l5HxF87GbeWz2f/P7pqWwCb5IhZ5meRiHgxi/N0RDycbXuq4J/tahHxQBb7CUm9Coi5RdtOdxb/T9loWp4OySXAe0ijfucCtwKPRcTtnY1ZZZOI2DY7zwXAy8DbImJ2AbHrEb+3pPVJo+cnFRQT0r+TWs9rvV4hkv4FrA5cBnwsIh6V9GQRnW5J/2tvF1BEWtKRwE4RMScbkb5K0pCI+FV2jjz6RMQkgIi4StJk4K+SvkPO73lG7Tyv9drqxB3vHkLS48AZEXFe1bbrIuKgzsasdLqzUcY/RsQzVbFHRsToGh3z5Y396yzO4Oq42bb18owcRcQ3O9i3EPh7I8bObJqNNEL6xVn9moj4YI7YLZL6RsQb1RslrQwsqHT4O+EO0t2PWq8DKKzjHRFvLypWVcxfL2P/+DzxJbVkI7ifr9rWizRKmscWWadEwBBJa0TEzKxD/5ac0k6oeWGQxZ8fEdNyxN6GNGo8GZgSEYskFXV7dkHlSRb3yQI7xfWI/yPgRuDuiPhvdgfj0QLibiTpbNLnpfKc7PWGOWNPBzYidYTXIbW3qJ/nIFJK3Mw22wX8q4D4vSJiDkBETJU0gtT53pj8ndcF2d+zF7P4kyTtDVxHukOaV2kXU9Z5TjXpISRNId3KngccFRFvFnErK4s9jTSqc3RE3JZtK+Q2lqSFwJXAFyodv6JvkSlNHPoZ0Bc4MyL+VkDM44A/ALOBC4AdgO9ERK68PUnv7Wh/RNyRI/b3gN2AYyojUdkIz9nAfyPix52NXS+SVgVOII0wjpS0OTAsIq7LEXNl4FDSH/ZrgW+R8uAfB37c2YvLLPYuwMSIeL3N9iHAHhFxcY7YG7fZ9HxELMjuQr0n750GSb8A+gNfi4i52bZ+pBz++RFxXM74W5DSTA4lpfdsAWxb6aTkiLuIpWlIIqX5zMueR0Ss1sjxyyLpiI72RyfSEdvEX500N+UwYDNgIPD+iPhPzri/B/4QEXfX2PeXiDg8Z/xbgROqL7Czu5cXAp+MiE7fPcrS+KZHxIQ22weS/p7+tLOxsziVz2L155Ds9coRUcQFuK0gd7x7iEpnNZts8VHSbcq/FdQ5Hgd8iNRBvioiziiwUz8OOB/4AnBIRDyeN3b1CEP2+grSaKOAf1VuE+ds94SI2F7S+0lpD98n/XEoK7d5MPCJiDgjZ5xjSB3LVbNNc0kXI+fkjDsMGEnqPEEayRwdEY/kiVvjPJeT8rA/ExHbZHnC90bE8BwxryCNYvYj5es+SOqA7wEMz3PXqOocq5I6IwAPt73r0IixlSoxnAJ8ljQRN0h5uxcB342IN4s4T3auXUgdto8Bz0ZE6dVTGpWkP1BjtDIiPl/j8IYkaV3SBdVhpDz1wV3cpHZJ2ghYWOuCT9K7IuKegs6zDkBETC8injUup5r0HAKIiNMl3U+6VVlYybKIeDobjf2tpCtJV9cFhY7fSJoAXCvp2+S/RXZe9j04IxtpfJU0srYY6NSkxxoqtyAPIHW4J0gqNKcuG7n8OOmP14ZA7pH6iDgXOFfSgOx17lvkkt5JSicZnT1EugNwu6SPRMR9ec9RZdOIOFTSYQARMb+A7/tWWSe+N6nTV7nrcEP2uey0rPN6BvAZ0uTNFmBdSedExKmSdoiIcY0WGyAiFgDfyFLNNiP9XB/LkZLU0bn+C/xX0tdJud+dpmVUookcE3HrpPruzcqkuRfPFxE4G/U+DhiWbZoMnB0Rf8oZ96aIeF/2/MSIOAU4Bzinxp2ZFY1d9s+zcqe11nkm54yNpJOBY0n/flqyu7znRMSPCoi9MvAl0r/P/wEXZimP1oXc8e45flB5EhH/zEZiO7y1uALGZnFfBz4n6Whgp4JiVy4Y7sly3y5n6ahpp0TEh5VKtV0n6SJSBYbDSaO8H87V2qXul3QTqcTaiVlHttOVGCqyOAeT2juU1NneJCI2KiD2bsDvSLmFE0l3AXL/YSF99g6L1hPj/p7dwj2ZVNWjKG9mo9wBIGlTIO8I75uQcvQlte3gLMoZ+yzS527jykWOpNWAMyX9FtiP9BlqtNhkaTxnsvTz8o0iO91VncAtSD/PQjqBpDsiQfrdsj6p01q5OMs7ERdJs6viVwTp722fiMj1dzciWk3MVqpcdUuemFmcSjWaE0iT40WaIHuGJHJ+39epev5x0p0SIE0kzhEXWv8830ZKCRMpleVpcnzGy44v6XjSnbNdIuLJbNsmpAGs4yMib+nVi0h36+4iDQJtTfo3ZV0pIvxo4gfpF2e7j65u33K0f/02r3uT8lOLiN2LNNJwA/Dugtvdkn2PB2av1wK2KyDufNLkxHezNFXsiYLaPJZUcaUv6Y/jjQXFfaSDfQ8X/H3fN/v+TAcuIdUjH5Ez5jRSnvs5Vc8rr1/KGfuxys+xzfZepD/wuzVi7CzOXaSKD8OAb5JKCxb1c/wMqRznnqRqGAOBvViaRlTUecYV+flr5xwDgG+T6nifVUL8YaQ7DXnj3AcMqbF9CHBfztgP1Hpe8PfhPOCAqtf7F/n9LiN+9hlfu8b2dYr4bJLmj1Se9y7re+/Hij084t38zqp6vhOpc1U9urNXZwNLmkgHaR+Ro66spBOqntc65M4csT9IymNeBPwQ+DPwA0lfAb4XEY93NnZFRCzOJsh9Sqkaw91RwKRN4LvAJ0i12f+S5TQXpSWWlhO8UtKJBcXtKF1lbgf7VlhE3Ky0qMtupM/5cZFj8mOmulLN2Db72r5eUYsj+6tYLVI1jOmRLw2nzNgAAyLi/Oz5Gdn3vShfAQ6O1uXmbpX0UVJJuryj3hWlTXLKJsh9jXQR8RfSqOYrBcStjKhXvEjq2Oe1WtQo7xepkkfeCaGbKFVfUtXz6nPkqcZUsUtEfKkq5vWSipwQXkb8lWr9foqI6aqxmmUnVFfYWVhwtqN1kjveTS4i9qw8zyYldrqjXUNlUpmAMaRbWUUZUPX8KFIKRFF+AryTlIf+j4jYFTghu3X+U1LHNhelVQM3Ay7NNh0laZ+IOLqDty1TpFuPv8huRx5GKk+4QZb7/rfIN1mxrHrbg7W0NFm1IsqU1bIhaVS3N/Ce7DZ5pyt4RM5qDsvwkKTPRJvb+JI+Rf40nzJjA6wsaQeWXsivUv06srrhnVRmJ7BU2dyLr5MmD14I7BARrxUVPyIGLPuoTqlZp3459i2PD1U9PzNnrPa8rFSZ6WLShcmngNwXOiXH72gCchGTk7eXNIvW/0YrryMatMJOs3NVkx5E5a4YWGbscVFAhZSqeHeRVmJcBdgvCqhKUeMck4BtKiOOSrWNJ0bE1iWca1tSJ/zQiOh07desWkJ7IjpZNUEllylrc64Lge2ASSzNqe9027OY19LxnZ1Oj9ZJ2pA08XQ+S3NJdyF9Ng+OiOcaMXYW/7YOdkeei3xJ90dEzXkiHe1bztgnVL08AWi13HpE5Fp+XdJcUqpTpZxoKwXE/2dE7L2sbZ2IO4+UnvSWXaR5JP3yxK86TynVO7LJjyezdPLtncCoKGiybBnx1br0ZKtduNxf0/KIt3UHRV8dHkzqqC4gTVIsw8OkiTiViUODSbPKCxcRE5VWsts1Z5zPFdSktnHLHDFua7eI2KrgmJURuo8A65FGvCB9hqbmCZx1ft8haS/SxCcB10fEP/PELTt2Fn/P9vYVcJt8S9VekVDknPxI67tp57d5XYQzWPo7q7DYWYWKVYG1Ja3B0lHM1YANCjjFlgXEqCmrLPQDSqreAUuql5Q2cbCM+JGjBvjycFWTxuSOd5OTdA5L/whUr0YGQER8NUfs6hHuVreZs9hF5nwW6fVYRl1qSf0jW61sRVSNjq4OTJb0n+z1OyhgFbWsE3Ue6Q/t30kL//yJ9H3/Sc7Y7yCV+1tS1SQiikhJKK1MWQ33StoqIh4qKmBkixJJ+nFEVJeyu1ZSp+caZDGr/zBOBH5f1B/GMmO3cz6RJkMeTlqZNM9y3aV1AiNiVFmxs/g/LCn0UaSc8Q1IdzAqv2tnAR2urro8IuIpSR8m+7xExI15Y1b5GuVW76iMpH+LdJG5cmV7UemVZccviauaNCCnmjS5Mm/zl3yruXri5mYsvQVayU3LM3Hzn8B44Grg/li66t4mpI7DIcD5EXFVJ2J3tLJkRETejto44HjgXtKs+j8B34+IX+WJm8UeC5xIuoX6QeCLEfH+AuJ+htTmt5QpA35VZOdb0ntIi9u8SCojmPvzUhV7MnBgRDyRvX47aY5ApzuJ2eTYyh/G/YGpEfG1vG0tO3ab87yD1Nk+mLQ2wNHANRExs4DYA4HNs5ePFJErLekHHeyOyLlCazvzGapP0OnBjiz+scsaOOhk3N+QOmb/AvYGrs37vaiKPQ7Yt+1Ewqwze1MRqYRK5VsvB75BuuA8grQqZBETT0uPXwZJEyNbEE5pHYL/lJUSasvPHW9rSFrGogqRs/arpAOATwLvIq1GuJCUHjKGNDKYa1nqGud7F3B43smVbXPpJT2eJ697GbELyduXdB9pVc2pbbYPAS6LiN3ynqMq5mOkDv5Equqm5/28ZLH3I90ReCLbNAQYGRE35YhZ2h/Gsv/oSvop6SL1adIk4r8BYyMib91kJPUhfa8/TFr8R6RVMf8GfClyrIqptAhPW/1Iq+OuFRH9Oxs7i1892DGKlBe8RBGpV5K2Abai9chr3kVuHgS2j1T1ZlXgrjy59G1jR8Q2K7pvBc9xf0TsJOl/lQttSXfE0gWvGjp+Gcr6nW75ONWkyUkaTbql/2CNff1IM+/fiIhLOhF7j4i4u4P9qwFvq3Xu5fB0ZWJiB/G1rGM6cD3pduoznXz/MkkaThoJPITUefi/Dt+wfNpWHpGKqTxSK3ZRVU3qWaHi6Yi4ZtmHrbiIuEGp8k1lAacpkX/59TLLfZVdSmwk6WL1t8B1EfG6UunMInwPWIm0nHhl8Z8BpJSK72ePTomIJSVWs5jHAZ8jlSk8q733rUD8JR1rSV8reo6D0kqHI0gd73+Q7mbcTf4Si29GxCKAiJinYj8wZVfvgKWf9xckHUhaGCn3wmJ1jF+GSlUTSBevrmrSADzi3eSyzt93gW2BB0mz7Vcm3b5djVTu6rzOdCAk/YKUu3wDKeewEnszUsrGxsDXIy33vKKxbyd1VK+OiKertvch5QoeAdwWEX9c0dhVsXJVR2gn5lBSOcLDSKWmLiet6JdrWeSq+KVUHikzdkff56J/Btnt8oGkdJMln+k8FyRlXmCqdVUDkSqOzKOAP4xlxs7i9wLeR/qs7wXcBuxD6iznyiXPRl93jTYrYUrqT1rMJdcIqVKFihNId70uIqU85U6NqXGewkcYszS87UkLrGwvaRBwQUR8IGfc6qomIs31eIxi0vtKr94h6SBSWtVg0uJWq5GqjhRyIV52fOs53PHuIbI/WDuTlkieD0yOiIcLiLsG8DFSysaS2MCYjjoryxF3ZdKS5Z8kLcn7Kqnj0ALcBPw6IsbnbPuvgT925sKgg5iLSb+cvxARj2XbnoiIvJUYui3VqUxZdq5aFw95L0hKu8BsFtm/14NInfA9gH9GRKcrBlXfzq+xb0kKTSdjn0GqUDOa9HtkhSdRr8C5yuh4/ycidpV0P+nzNxt4MHKWKi07vc/MEne8e5BstHho9vLhiFjQ0fGNQqk02drA/Ih4tcC4D5GqbEwljcYUMbJzMGnEe3dSR+0y0mhU7rzXGufaMaoqx7R93Sixm+EPelkXmO2cqx8pt/nwiDiwu8SuOsdqpDrheSZuTyClU9RKd7gtIrbPEXsx6W7IQlqXKi3qTkD1ypKrku4yFBn/NyxdwfbrwBxgfJRUDjS7s/GJzqQj1lN2t/G3wKCI2EbSdsAHIyJXtad6xbeewx3vHkLSCNIt1amkPwCDgSMiR5UNSZ+KiIvVekGKJSLnQhFV59keeHf28s6IKKQednsdwiI6glUdnMpt+ItIK0t2eiJejXOcHxFHtve6UWOXSanSyLGkiY9L5rBEziWplRZA+lhEXJGrge3H70Mq93U4sB8pzeqvEXFtI8euOkehF4GSppImx9bqeEdPvoNUTWmC8mpF/E7MLpiOJq38eg1wM3AMqYrH+Ij4UAdv73KS7gC+CfwusiopRU3crEd86zlauroBVjdnAe+LiPdGqkX8fiBv7dRKisCAdh65SToOuARYN3tcIunYImJnHezBwF7Z83kU9G8iIuZGxCWRVsXciFS+8DtFxK46x5EdvW7E2Nlk33ZfF+DvpIvLc0if+cojl4hYTOqEFErSvkqrbT5JGlH/MzAjIj6Xt2NcZuwavryM1yskIoZExCYR8fYajx7d6VYqhwqkCcoR8b/qbTn8mXQHcCLwRVJK38eADzV6pzuzakT8p822IuvWlx3fegiPePcQtXImO8qjbBRKq9e9M5bW2u4H3FtEu7PqADsDwyJiqKQNgCsj4l05Yi5z4Z3lOaaD965Lus1cWRTllIiY1fG7uj521Tl2ioj723tdQPx/R8Q7iorXJvb3SSkml1M1USzyLRldmRPw2Vi6sEghcwLKjG31p6UrV95G6zSc1UgrkuZadEity0/2Al4mTRp+y7L3jUjS9aSL4ysjYkdJHyPNtdm/O8S3nsPlBHuOsZJ+TxrVgDRpsZAOj9IiCEfy1tv7nZ7QVh0eWFT1ehG1bz93xsHADqRFXYiI55XKi+VxtaTx1F6cZwSpfOP5wAovzpP5E+nndg5pMtvZwGdztbgOsbM/5BdFxKeqtxfZ6c78KruguonWVU2KyH2vfJ6ra7EH+ZYw34mUq3uLpCdIcwKKWka6zNh1uVDLzuNaxEmtlSuDNLny3ALiV5efXCTpye7S6c4cTZowu4Wk50h3ej7ZjeJbD+ER7x5CUl/SL449SL+w7wR+E/nrECPpX6SRtfup6iRHRO661Vn++BGkhTMg5U3/MSJ+WUDsSnWAB7IRjEJG01Xi4jySxkfE8KrXhXVCyoydxbsR+EDkWPxkOc5xCvBp4HGWLqAT0djLOgOgtMjSYcBHSalJf4uIQlJxyogtqVLl5U7ShdqAiPhsvpbasiitvPnLiJiV3YXZEfhx3otLlVx+skzZhf2pEfHN7Pd4S5EXDWXHt57FHe8mJ+mYiDg3e751REwq4RytOmwlxN+RqguGiBhXUNxvkOqZ7wucQhrRvDQiOlzyeTniCtgoSlicp0a1h1a3nXOmPZQWO4v/O1In4Rpap2oUMgk3O8cUYLsyOvdKq/mdQLr9PlJpMZ1hEXFdwedpIX0mPxEFV6ooMnYdLtRagP958lprlRRBSXsAPyPNYfhuWSlW3YWkW8u8wC47vvUc7ng3ueo/hmXdopX0E+BfEfGPAmOu2dH+vJ3AqvPsS1oERMCNEXFzQXELX5wnizuV1iXQqkWe/N0yY2fxT661PSJG5Ynb5hyXA8dGxLSiYraJfT/wmUjlxFYh3SEZXvS5uoOyL9Syc1wCnBhVi2j1dJLGRcQO2d2diRHxl8q2rm5bV5J0Fmkg5UpaX9jnWc23bvGt53COd89S6JrRWlqvVsB3Jb1ByhMs4tbk/VWxYWmHsJLXWMTks9Mi4tukslltt+V1n6RdouBFVSJiSJHx6hU7iz8K0gTZSu57CQYBUyT9l9Y53rnKCWY2jYhDJR2WxZyf3d0oRJm5zCXFXp1sfkSVyutC/o2SaqZPkvQfWnd2ivh5dlfPZXeP9gFOy9IIXaEM1iStFlw9Kh1AUR3jsuNbD+ER7yaXTar6OukX8+mkOqRL9OSr9Vqdj6IqvaiExXmq4l4MXBYRT+RtZ71iZ/HfCfwe6B8Rb1Oqz35URHylwHO8t9b2iLijgNj/AvYG7snmBGxKSk3aNW9sq63Mn2d3laU87Uca7X5U0vrAtlHgGgFmVh53vJucai+hXRF5Ko+UmT9ecuwvA18BNqX1UuYDSCkzuWeqq6TFebLO6ieAQ0jlvi4FroiI5/PELTt2Fv/fpLrA10Q3XIAiS0v6HrAVqWrKu0il+m7PGbe0XOaSY5d6oVZ1no2BzSPilqzT2csT26ytrHLUr4DdSCPR9wJfi6yUZqPHt57DHW/rtDLzx0uOvTqp2sgptF7UZnZRuePZefYgdRj+oFRysX+Rv6Ql7UYqT/hR0gXEpRFxfqPGVlZjuzofVdKEyLH8d1XsuyNiD7VerhsKrsggaS3SH14B90XEywXFLS2XuazYZV+oZec4EhgJrBkRm2YTWs+LiL2LOoc1B0n3Ab8mfQ4hfTaPLWrSadnxredwXlgPklUHafd13vAFxio1dkS8FhFTgYUR8VTVY4akPy/r/csjm0j4beDEbNNKpNHBwkTEfRFxPPAZ0oVEEbV8y4z9jKTdgZDUJ6sqM7mAuETEHtn/B0TEalWPAUV1ujMbkmph9wHeI+kjBcWt5DL/U9I1lUcjx46ICRFxYkRsChwHbEya23Br1mEuwtGkOwuzsnM+SlrB1qwtRcSfI2Jh9riY9ieLN2J86yE8ubJn+TJpoZv2Xq+ogZIOJl3Arda2E5Izf7zM2BVbV7+Q1Ju06EgRylicZwlJu7C0LvNU0sIOVzZ47C+RbtVuCDxLStcoLL+7Qqnm7iBaL+aUe7RXafn17YBJVNUIp5jJVYVVdqlzbCBdqJE63VcDvyBdqBVx9+WNiHizMoc1+zfqzo7Vcpuk75AWigrSHbsxlQpZBdzNLDu+9RBONbFOKzl/vMzYJ5JW3KssEAFpVP1NYHREnNjee1fgHGUtzvMz0i/8maQ/AJdFxLN521t27Cz+uyLinmVty3mOY4GTgZdovYBOIRNmI2KrvHE6iF9aLnPJsdteqF1GWlY7dxqOpNOBV0l3Xo4lXag9FBEn5Y1tzUVSdRpfdRUsKKYcaqnxredwx7vJqU7LOndHkk4popPdTuyyFuc5OYvzSP5W1i92Fr9WFZmi8/cfA94REa8UFbMq9u+BsyLioRJil5bLXFbssi/UsnO0AF+gqtY+cEH4D5e1IekQ4IYoeEXPesW3nsMd7yanOi3rLGnH6l9AbV83UmxJW0TElPZy3Atsd1mL8wwjdaS2yDZNBs6PiIcbMbZSGcHdga+R0hAqVgMOLmJyZdW5bgP2jYiFRcWsiv0e4FrgRVKN8EJKRGaxxwO7Av+umng6MSK2bdTYZV+oma0IlbyiZ9nxredwjnfzW6/qtuyNksq6Oi86f7zM2F/P3n9WjX1B6wUSOkUlLc6TdWL/Ssq7Hk3q/O1Ayj/8SJZr22ix+wD9Sb9vqvPcZ5HKC+Ym6YTs6RPA7ZLG0HoBnSKWpb8Q+DTpztHiZRy7osrMZS4ldkSMkjRMaUW/wi8CASQdBPyYNHGzNwVXqbGmsij7/4GkOzpXS/phN4pvPYRHvJuc6rCss71VO2kVuRfnkXQ9cFq0qR2ttNDIdyJi/0aMncX5VkSc3mbbxyMi98RNtbMcfUUUsCy9pFsjIvdFWTuxS8tlLit2mwu1B1h6oXYkkOsisOocjwEfIS0W4z9W1i5J1wHPkVb03AmYD/ynqDtqZce3nsMd7yYnaSrtj27lmhBSZv54ybE7KgH3BvBERHSqzJ1KXpxH0iMRMbSdfQ9HxLBGjJ3FKD3Hu03sNYBXi+qwSfoNMJCUblI9mp67qkmZucxlxS77Qi2LdRuwd0QUfYfBmoxKXtGz7PjWc7jjbZ1WZv54ybE7qpjSG9iS1En+aidil7o4j6T7I6JmycO8ndiyYkvaHziAtNDK5VW7VgO2igKWXJf0A9LiLVMk9QWuB4YDC4HDI+KWAs5R63MTkaPCTndW9oVaFmcXUqrJHRSfOmRmVnfO8W5yKndZ5zLzx0uLHRGf62h/NkI4sZOxXwNek7Qw2iwPL+nPEfHpzsStMlhSrcooItXHbsTYzwNjgQ+SLqYqZgPH54hb7VBSBw3gCFL993WAocBFQO6O97I+N3mUmctcYuyOyhHOzRm74qfAHGBl0lwBM7NuzR3v5ncYaWnbmyUVvayzstv5lfzxXtWvc47wlhm7+iQ1K6ZI2idn6LIW5/lmB/vGNmLsiJgATJB0SRnVRjJvVqVOvJ9UbWMRMDn73ucm6e2kHOkhtF6c54MFhP8l5eUylxW7zIvAijUj4n0FxTIz63JONelBJO1GGhn8KCn/+NKI6PTqciXnj5cWu815zo+II9t73Yl4pS/O091IuiIiDpE0kdY/0yLL8d0HfJG0cM7DwE4R8WS2b0pEbNHR+5fzHBOA39OmqklE3FFA7NJymcuKLemIjvZHxEUFnONU4Fbn0ZpZs3DHuweSNIJUT3mriOjbta1pTippcR5J13S0P8/oa1mxJa0XES8qrZ5Yq+NdxHLu7yCllKwD/DIifpxtPwD4dEQcVsA5/h0l1ewtM5e5O+dJS5oN9CO1ewEuJ2hm3Zw73j2ESljWucz88ZJjl1kxpdTFeSRNB54hpQz9m6WpOJX4nR59LSt21nlq7xfNG8DjwEkR8c/OxK8XSYeTViO9idYd2NzzDyTdRMplbjuaXkQZxFJil3kRaGbWrNzxbnIqcVlnSduT8scPAQrNHy85dpkVU86PiCOz2/ttReSsAy2pF2kZ+sOA7YAxpJShSXnilh17GefcBrgkIrYpKGYpq6hKOoW0gM7jLO3A5v6ZZrHHRsTOeePUM3aZF4FtzrMdb82rz13C0cysK7jj3eRUp2Wdi84fLzO2pPERMbzqdWm1pMuUlc07DDgD+FFEnNMdYrdzvqMi4ncFxSo0b78qzhRgu4h4M2+sGrFLy2UuK3Y9LtQkXZjFnkTri50eWcLRzLo/d7x7AEnDgJGUtKxzm3ONoKT88aJiq8TVPFXi4jxV5+hLWrb4MNJI4DXAhRHxXJ64Zcfu7iRdDhwbEdNKiF1aLnM98qTLulCT9FBEbFVELDOzRuBygk1OrZd1Hg1LlnW+TVJRyzq3zR8fDeReBrzE2KuTlriuVnkdQJ6KKR/oYF9vYEtJnVqcB0DSRaTUjOuBURHxYGfi1Dt22crM268yCJgi6b+0zvHOncscEQPyxuiK2DUu1M4m/b4pyr2StoqIhwqMaWbWZTzi3eRU4rLOJeePlxa7K1UW54mIrZd5cO33L2bp4iS1KoR0ehSzzNhlKzNvv+oc7621vTvkMpcRu82F2mVlXKhJeg9wLfAi6WKnsBKUZmZdwR3vJqcSl3UuM3+85NhlruZZfZ72FudZPyJeKOu8PVF3z9svM5e5rNj1uFCT9BhwAm+tyPJUu28yM2tgTjVpfqUt6xwRoyQNk3QWBeePlxmbclfzrPZl4Mi2r93pLoVU0kqnku6OiD1qlEUs8k7AbiXmMpcSOyJaio5Zw9MR0WHZQjOz7sQj3k1O0jRSqsZbdgGHRMSgHLGr88cfYGn++JFArvzxMmO3OU9p1VisflSnlU7LIun3wFll5DKXGbtskn4DDCSlm1Tn1bucoJl1S+54N7kyl3UuOX+8tNjtnG8ExVRMqcckP+siWQm9QbTOlS5i5c3Scpm7c560pD/U2OxygmbWbbnjbZ1Wcv54abGr4pSxmmfpk/zsreqRty/pWOBk4CVa50oX0TkuLZfZedJmZo3DOd5NruRlnUvLHy8zdo2KKe8qsGLKehFxUvb8Rkm5V0y05VKPvP3jgGER8UqBMSvKzGXudnnSkr4VEadLOocaKUSdLcdpZtbV3PFufu+kg2Wdcxos6ewa2wVs2MCx3wD2L6NiCiVO8rP2RcQEYAJwYlXe/n3ZaG9RefvPAK8VEKeWKZL+Qjm5zGXGLktlkamxXdoKM7OCOdWkyZW5rHPJ+eOlxc7il7KaZ3ef5NdMCszbPyF7ujUwjPRvqLoD+/POt3LJOUrLZXaetJlZ43DHuwcpa1nn7qZeFVOs/krK2z+5o/0RMaqzsa1jkoYC3+Cti//s1VVtMjPLwx3vHqDGss7XABdGxHM545aWP15y7DKrsdRlcR5rrd4rnWbpQ69Gzl+gZeYyN0OetKQJwHmkCcuLKtsj4v4ua5SZWQ7O8W5ybZZ1HlXwss5l5o+XGXvTtp1uSEt/SxqdM3a9Fuex1krL25f0A9LPcEp2EXs9MBxYKOnwiLglR/gyc5mbIU96YUT8tqsbYWZWFI94N7kyl3UuOX+8zNj3R8RO7ewrbKlxL85TXyXm7U8CtomIkDQSOBzYGxgKXBQRu+aJb28lac3s6VeBacDfaJ1X70nKZtYtueNthSgzf7zo2GWu5tnO+UZQwCQ/a1/Jq6iOi4gdsuf/B9wUEb/LXhdyoVZmLnN3zJOW9CRpoKByp6vVHypPUjaz7sqpJpZLjfzxs0kdoEaO/c0O9hVyW77GJL/RwJVFxLaafgAc1iaF6O+SbiUtepNnpdM3JG1DWjhnT1IntmLVHHGrXUnKZb6AqlzmbhC7LIcCz0TEC7CkylHl39IPu65ZZmb5eMTbOq1N/vhlReaPlxm7TPWe5GdJyauovgO4CFgH+GVE/DjbfgDw6Yg4rLOxq87RbvpTI8cuS7bw1D4RMSNb8v4y4FhSbv2WEfGxrmyfmVlnueNtnVZy/niZscusmHIyKZe7jMV5rB31ytsvWpm5zN05T1rShIjYPnv+a2B6RPwwez0+IoZ3YfPMzDrNHW/rcSRNp4OKKRFxR874pUzys/bVK29f0o4R8UB7rzsRr7Rc5u6cJy3pQWB4RCyUNAUYGRF3VvZFxDZd20Izs85xjrf1ROuxtGLK4RRbMaV6kt9olk7yu02SF+cpT+l5+5kvkyZstvd6RZWZy9yd86QvBe7ISnLOB+4CkLQZ8FpXNszMLA+PeFuPVkLFlNIW57HmU2Yuc3fPk87Kca5PqiIzN9s2FOif5y6DmVlXcsfbeqQSV/MsbZKfta/kvP11ge8CmwETgVMiYlZn47WJXVous/Okzcwaj1NNrMcpeTXP2R3sm9vBPsunzJVO/0Rasvwc4CBSWcvPFhS7l6TeEbGQtCjPyKp9eX8/lxnbzMw6wb98rSf6NKkTPBT4qrSkj5a7YgowWNLZNbYL2DBHXOtYaXn7wHoRcVL2/MYshaMoZeYyO0/azKzBONXErEDZBLZ2RcRF9WpLT1VC3v4EYARLR9Fvq36dtyxfmbnMzpM2M2ss7nibWVMoMW9/Km1K8VWJRi7LZ2ZmjcUdb7MClTnJz9rXXVc6NTOznsUdb7MClb04j9VW8kqnDwEXkzr0T3S+lWZm1tO5421WIEm9WDrJbzuKneRnXUDS9sAngEOAl0kXVVdExPNd2jAzM+t23PE2K0nRk/ys62WTFQ8lrQD5GOmi6vyubZWZmXUX7nibFaysSX7WOCSNAH4BbBURfbu2NWZm1l24421WIE/ya16SdiFdTH0UmEpagv3KiHi5K9tlZmbdhzveZgUqc5KfdQ1JPyOll8wkdbYvi4hnu7ZVZmbWHXnlSrMCRURLV7fBCvcGsH9EPNLVDTEzs+7NI95mZssgaRgwEtgi2zQZOD8iHu66VpmZWXfj0Tkzsw5IeidwOzAHGA2cT0onui2rcmJmZrZcPOJtZtYBSdcDp0XE7W22vxf4TkTs3yUNMzOzbscdbzOzDkh6JCKGtrPv4YgYVu82mZlZ9+RUEzOzjs3uYN/cDvaZmZm14qomZmYdGyzp7BrbBWxY78aYmVn35Y63mVnHvtnBvrF1a4WZmXV7zvE2MzMzM6sDj3ibmXVA0jUd7Y+ID9arLWZm1r25421m1rF3As8AlwL/JuV2m5mZrTCnmpiZdUBSL2Bf4DBgO2AMcGlETOrShpmZWbfjcoJmZh2IiEURcUNEHAHsBjwG3C7p2C5umpmZdTNONTEzWwZJfYEDSaPeQ4Czgb92ZZvMzKz7caqJmVkHJF0EbANcD1wWEQ92cZPMzKybcsfbzKwDkhazdIXK6l+YAiIiVqt/q8zMrDtyx9vMzMzMrA48udLMzMzMrA7c8TYzMzMzqwN3vM3MzMzM6sAdbzMzMzOzOvh/rvLrSbhGPwcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 864x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(corr[(corr>0.9)],annot=True,cmap='PuBu')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54f32d33",
   "metadata": {},
   "source": [
    "<font color='green'>We can also check the correlation between \"spread1\" and \"PPE\" variables thanks to \"regplot\" which plots the scartterplot plus the fitted regression line for the data.</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "144fbf49",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='spread1', ylabel='PPE'>"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.regplot(x='spread1', y='PPE', data=parkinsons_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61f096a8",
   "metadata": {},
   "source": [
    "### Let's go deeper with the P-value to know the significance of the correlation estimate when p-value is <br> < 0.001 leads to strong evidence  <br> < 0.05 leads to moderate evidence <br> < 0.1 leads to weak evidence <br> > 0.1 leads to no evidence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "d6ec7336",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy import stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "df2e3d59",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The Pearson Correlation coefficient is 0.962435293257281  with a P-value of P = 3.1338007401494733e-111\n"
     ]
    }
   ],
   "source": [
    "pearson_coef, p_value = stats.pearsonr(parkinsons_data['spread1'], parkinsons_data['PPE'])\n",
    "print (\"The Pearson Correlation coefficient is\", pearson_coef, \" with a P-value of P =\", p_value)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9eb6275f",
   "metadata": {},
   "source": [
    "<font color='green'>The linear relationship is strong between \"spread1\" and \"PPE\"(app. 0.96) and the correlation is statistically very significant</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d4aa04a",
   "metadata": {},
   "source": [
    "# 2.Modeling"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e688039",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "<b>Let's explore some models, tune it to optimize its performance with the better predictability rate\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "id": "f28ed407",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.ensemble import AdaBoostClassifier\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import classification_report\n",
    "from sklearn import tree\n",
    "from os import system\n",
    "from sklearn import metrics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "49b90c16",
   "metadata": {},
   "outputs": [],
   "source": [
    "# As we have seen previously, we can remove the non-numeric columns \"name\" and \"status\"\n",
    "X = parkinsons_data.drop(['status', 'name'], axis = 1)\n",
    "Y = parkinsons_data.status"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7c58860",
   "metadata": {},
   "source": [
    "### Decision Tree Model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "3c904d6e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "136\n",
      "59\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(None, None)"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Splitting Data into 70% Training data and 30% Testing Data\n",
    "X_train, X_test, y_train,  y_test = train_test_split(X, Y,train_size=0.7, test_size=0.3, random_state=42)\n",
    "print(len(X_train)),print(len(X_test))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "795bae30",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.847457627118644"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Applying decision tree model\n",
    "decision_tree = DecisionTreeClassifier(criterion='entropy',max_depth=6,random_state=100,min_samples_leaf=5)\n",
    "decision_tree.fit(X_train, y_train)\n",
    "decision_tree.score(X_test , y_test) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "567db318",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[11,  4],\n",
       "       [ 5, 39]])"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred = decision_tree.predict(X_test)\n",
    "confusion_matrix(y_test,y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "7edd8bbc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Misclassified samples in Decision Tree: 9\n"
     ]
    }
   ],
   "source": [
    "count_misclassified = (y_test != y_pred).sum()\n",
    "print('Misclassified samples in Decision Tree: {}'.format(count_misclassified))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd72394c",
   "metadata": {},
   "source": [
    "<font color='green'>We've got 9 outliers samples</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8db7c3c",
   "metadata": {},
   "source": [
    "### Random Forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "a56bcc4f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9322033898305084"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "randomforest = RandomForestClassifier(n_estimators = 50)\n",
    "randomforest = randomforest.fit(X_train, y_train)\n",
    "y_pred = randomforest.predict(X_test)\n",
    "randomforest.score(X_test , y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "13c5a0d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Misclassified samples in Random Forest: 4\n"
     ]
    }
   ],
   "source": [
    "count_misclassified = (y_test != y_pred).sum()\n",
    "print('Misclassified samples in Random Forest: {}'.format(count_misclassified))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b896f75",
   "metadata": {},
   "source": [
    "<font color='green'>We've got 4 outliers samples</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "b58a9409",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "feature_imp = pd.Series(randomforest.feature_importances_,index=X.columns).sort_values(ascending=False)\n",
    "feature_imp\n",
    "\n",
    "# Creating a bar plot\n",
    "sns.barplot(x=feature_imp, y=feature_imp.index)\n",
    "\n",
    "# Add labels to your graph\n",
    "plt.xlabel('Feature Importance Score')\n",
    "plt.ylabel('Features')\n",
    "plt.title(\"Visualizing Important Features\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbc3872a",
   "metadata": {},
   "source": [
    "### KNN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "664ae64e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8983050847457628"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "knn = KNeighborsClassifier(n_neighbors=5)\n",
    "knn.fit(X_train, y_train)\n",
    "knn.score(X_test,y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "6df4e14f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Misclassified samples in KNN: 6\n"
     ]
    }
   ],
   "source": [
    "y_pred = knn.predict(X_test)\n",
    "count_misclassified = (y_test != y_pred).sum()\n",
    "print('Misclassified samples in KNN: {}'.format(count_misclassified))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c62e9e6",
   "metadata": {},
   "source": [
    "<font color='green'>We've got 6 outliers samples</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c7d0538",
   "metadata": {},
   "source": [
    "### ADABoost"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "e73317cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.847457627118644"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adb = AdaBoostClassifier( n_estimators= 50)\n",
    "adb = adb.fit(X_train,y_train)\n",
    "y_pred = adb.predict(X_test)\n",
    "adb.score(X_test , y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "10b50ffb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Misclassified samples in Ada Boosting: 9\n"
     ]
    }
   ],
   "source": [
    "count_misclassified = (y_test != y_pred).sum()\n",
    "print('Misclassified samples in Ada Boosting: {}'.format(count_misclassified))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bb92799",
   "metadata": {},
   "source": [
    "<font color='green'>We've got 9 outliers samples</font>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "82672364",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x7ff0b3a1ab20>"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.dummy import DummyClassifier\n",
    "from sklearn.metrics import plot_confusion_matrix\n",
    "clf_dummy= DummyClassifier(random_state=42)\n",
    "clf_dummy.fit(X_train, y_train)\n",
    "y_pred = clf_dummy.predict(X_test)\n",
    "plot_confusion_matrix(estimator=clf_dummy, X=X_test, y_true=y_test, normalize='true', cmap='Blues')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "8d8eefa9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    0.757353\n",
       "0    0.242647\n",
       "Name: status, dtype: float64"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.value_counts(normalize=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b2c67da",
   "metadata": {},
   "source": [
    "<font color='green'>We have more people with Parkinson disease than people with not Parkinson <br> So the dummy classifier is predicting more people with the disease</font>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6461f449",
   "metadata": {},
   "source": [
    "# Performance evaluation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e58fb313",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "<b>With the confusion matrix we can have some metrics such as the accuracy, F1 score and the precision\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "923868b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.7457627118644068\n"
     ]
    }
   ],
   "source": [
    "print(accuracy_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "9fd39e10",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0 15]\n",
      " [ 0 44]]\n"
     ]
    }
   ],
   "source": [
    "cm = confusion_matrix(y_test, y_pred)\n",
    "print (cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "b8db2048",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.00      0.00      0.00        15\n",
      "           1       0.75      1.00      0.85        44\n",
      "\n",
      "    accuracy                           0.75        59\n",
      "   macro avg       0.37      0.50      0.43        59\n",
      "weighted avg       0.56      0.75      0.64        59\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, y_pred))"
   ]
  }
 ],
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