Student Performance Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "done\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "print(\"done\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, we continue analysing student performance, but instead of creating a classifier, our goal will be more inferential. We want to identify the key factors that lead to student success."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>school</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>address</th>\n",
       "      <th>famsize</th>\n",
       "      <th>Pstatus</th>\n",
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       "      <th>0</th>\n",
       "      <td>GP</td>\n",
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       "      <th>2</th>\n",
       "      <td>GP</td>\n",
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       "      <td>15</td>\n",
       "      <td>U</td>\n",
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       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>10</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GP</td>\n",
       "      <td>F</td>\n",
       "      <td>15</td>\n",
       "      <td>U</td>\n",
       "      <td>GT3</td>\n",
       "      <td>T</td>\n",
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       "      <td>2</td>\n",
       "      <td>15</td>\n",
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       "      <td>15</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>GP</td>\n",
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       "      <td>4</td>\n",
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       "      <td>10</td>\n",
       "      <td>10</td>\n",
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       "  school sex  age address famsize Pstatus  Medu  Fedu     Mjob      Fjob  ...  \\\n",
       "0     GP   F   18       U     GT3       A     4     4  at_home   teacher  ...   \n",
       "1     GP   F   17       U     GT3       T     1     1  at_home     other  ...   \n",
       "2     GP   F   15       U     LE3       T     1     1  at_home     other  ...   \n",
       "3     GP   F   15       U     GT3       T     4     2   health  services  ...   \n",
       "4     GP   F   16       U     GT3       T     3     3    other     other  ...   \n",
       "\n",
       "  famrel freetime  goout  Dalc  Walc health absences  G1  G2  G3  \n",
       "0      4        3      4     1     1      3        6   5   6   6  \n",
       "1      5        3      3     1     1      3        4   5   5   6  \n",
       "2      4        3      2     2     3      3       10   7   8  10  \n",
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       "4      4        3      2     1     2      5        4   6  10  10  \n",
       "\n",
       "[5 rows x 33 columns]"
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     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reading the datasets\n",
    "mat_data = pd.read_csv('student-mat.csv', sep=';')\n",
    "por_data = pd.read_csv('student-por.csv', sep=';')\n",
    "\n",
    "# Displaying the first few rows of each dataset for an initial overview\n",
    "mat_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "  school sex  age address famsize Pstatus  Medu  Fedu     Mjob      Fjob  ...  \\\n",
       "0     GP   F   18       U     GT3       A     4     4  at_home   teacher  ...   \n",
       "1     GP   F   17       U     GT3       T     1     1  at_home     other  ...   \n",
       "2     GP   F   15       U     LE3       T     1     1  at_home     other  ...   \n",
       "3     GP   F   15       U     GT3       T     4     2   health  services  ...   \n",
       "4     GP   F   16       U     GT3       T     3     3    other     other  ...   \n",
       "\n",
       "  famrel freetime  goout  Dalc  Walc health absences  G1  G2  G3  \n",
       "0      4        3      4     1     1      3        4   0  11  11  \n",
       "1      5        3      3     1     1      3        2   9  11  11  \n",
       "2      4        3      2     2     3      3        6  12  13  12  \n",
       "3      3        2      2     1     1      5        0  14  14  14  \n",
       "4      4        3      2     1     2      5        0  11  13  13  \n",
       "\n",
       "[5 rows x 33 columns]"
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     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "por_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 395 entries, 0 to 394\n",
      "Data columns (total 33 columns):\n",
      " #   Column      Non-Null Count  Dtype \n",
      "---  ------      --------------  ----- \n",
      " 0   school      395 non-null    object\n",
      " 1   sex         395 non-null    object\n",
      " 2   age         395 non-null    int64 \n",
      " 3   address     395 non-null    object\n",
      " 4   famsize     395 non-null    object\n",
      " 5   Pstatus     395 non-null    object\n",
      " 6   Medu        395 non-null    int64 \n",
      " 7   Fedu        395 non-null    int64 \n",
      " 8   Mjob        395 non-null    object\n",
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      " 21  internet    395 non-null    object\n",
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      " 25  goout       395 non-null    int64 \n",
      " 26  Dalc        395 non-null    int64 \n",
      " 27  Walc        395 non-null    int64 \n",
      " 28  health      395 non-null    int64 \n",
      " 29  absences    395 non-null    int64 \n",
      " 30  G1          395 non-null    int64 \n",
      " 31  G2          395 non-null    int64 \n",
      " 32  G3          395 non-null    int64 \n",
      "dtypes: int64(16), object(17)\n",
      "memory usage: 102.0+ KB\n"
     ]
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   "source": [
    "mat_data.info()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 649 entries, 0 to 648\n",
      "Data columns (total 33 columns):\n",
      " #   Column      Non-Null Count  Dtype \n",
      "---  ------      --------------  ----- \n",
      " 0   school      649 non-null    object\n",
      " 1   sex         649 non-null    object\n",
      " 2   age         649 non-null    int64 \n",
      " 3   address     649 non-null    object\n",
      " 4   famsize     649 non-null    object\n",
      " 5   Pstatus     649 non-null    object\n",
      " 6   Medu        649 non-null    int64 \n",
      " 7   Fedu        649 non-null    int64 \n",
      " 8   Mjob        649 non-null    object\n",
      " 9   Fjob        649 non-null    object\n",
      " 10  reason      649 non-null    object\n",
      " 11  guardian    649 non-null    object\n",
      " 12  traveltime  649 non-null    int64 \n",
      " 13  studytime   649 non-null    int64 \n",
      " 14  failures    649 non-null    int64 \n",
      " 15  schoolsup   649 non-null    object\n",
      " 16  famsup      649 non-null    object\n",
      " 17  paid        649 non-null    object\n",
      " 18  activities  649 non-null    object\n",
      " 19  nursery     649 non-null    object\n",
      " 20  higher      649 non-null    object\n",
      " 21  internet    649 non-null    object\n",
      " 22  romantic    649 non-null    object\n",
      " 23  famrel      649 non-null    int64 \n",
      " 24  freetime    649 non-null    int64 \n",
      " 25  goout       649 non-null    int64 \n",
      " 26  Dalc        649 non-null    int64 \n",
      " 27  Walc        649 non-null    int64 \n",
      " 28  health      649 non-null    int64 \n",
      " 29  absences    649 non-null    int64 \n",
      " 30  G1          649 non-null    int64 \n",
      " 31  G2          649 non-null    int64 \n",
      " 32  G3          649 non-null    int64 \n",
      "dtypes: int64(16), object(17)\n",
      "memory usage: 167.4+ KB\n"
     ]
    }
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    "por_data.info()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "      <td>395.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>16.696203</td>\n",
       "      <td>2.749367</td>\n",
       "      <td>2.521519</td>\n",
       "      <td>1.448101</td>\n",
       "      <td>2.035443</td>\n",
       "      <td>0.334177</td>\n",
       "      <td>3.944304</td>\n",
       "      <td>3.235443</td>\n",
       "      <td>3.108861</td>\n",
       "      <td>1.481013</td>\n",
       "      <td>2.291139</td>\n",
       "      <td>3.554430</td>\n",
       "      <td>5.708861</td>\n",
       "      <td>10.908861</td>\n",
       "      <td>10.713924</td>\n",
       "      <td>10.415190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.276043</td>\n",
       "      <td>1.094735</td>\n",
       "      <td>1.088201</td>\n",
       "      <td>0.697505</td>\n",
       "      <td>0.839240</td>\n",
       "      <td>0.743651</td>\n",
       "      <td>0.896659</td>\n",
       "      <td>0.998862</td>\n",
       "      <td>1.113278</td>\n",
       "      <td>0.890741</td>\n",
       "      <td>1.287897</td>\n",
       "      <td>1.390303</td>\n",
       "      <td>8.003096</td>\n",
       "      <td>3.319195</td>\n",
       "      <td>3.761505</td>\n",
       "      <td>4.581443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>15.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>16.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>8.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>18.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>14.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>22.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>75.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              age        Medu        Fedu  traveltime   studytime    failures  \\\n",
       "count  395.000000  395.000000  395.000000  395.000000  395.000000  395.000000   \n",
       "mean    16.696203    2.749367    2.521519    1.448101    2.035443    0.334177   \n",
       "std      1.276043    1.094735    1.088201    0.697505    0.839240    0.743651   \n",
       "min     15.000000    0.000000    0.000000    1.000000    1.000000    0.000000   \n",
       "25%     16.000000    2.000000    2.000000    1.000000    1.000000    0.000000   \n",
       "50%     17.000000    3.000000    2.000000    1.000000    2.000000    0.000000   \n",
       "75%     18.000000    4.000000    3.000000    2.000000    2.000000    0.000000   \n",
       "max     22.000000    4.000000    4.000000    4.000000    4.000000    3.000000   \n",
       "\n",
       "           famrel    freetime       goout        Dalc        Walc      health  \\\n",
       "count  395.000000  395.000000  395.000000  395.000000  395.000000  395.000000   \n",
       "mean     3.944304    3.235443    3.108861    1.481013    2.291139    3.554430   \n",
       "std      0.896659    0.998862    1.113278    0.890741    1.287897    1.390303   \n",
       "min      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
       "25%      4.000000    3.000000    2.000000    1.000000    1.000000    3.000000   \n",
       "50%      4.000000    3.000000    3.000000    1.000000    2.000000    4.000000   \n",
       "75%      5.000000    4.000000    4.000000    2.000000    3.000000    5.000000   \n",
       "max      5.000000    5.000000    5.000000    5.000000    5.000000    5.000000   \n",
       "\n",
       "         absences          G1          G2          G3  \n",
       "count  395.000000  395.000000  395.000000  395.000000  \n",
       "mean     5.708861   10.908861   10.713924   10.415190  \n",
       "std      8.003096    3.319195    3.761505    4.581443  \n",
       "min      0.000000    3.000000    0.000000    0.000000  \n",
       "25%      0.000000    8.000000    9.000000    8.000000  \n",
       "50%      4.000000   11.000000   11.000000   11.000000  \n",
       "75%      8.000000   13.000000   13.000000   14.000000  \n",
       "max     75.000000   19.000000   19.000000   20.000000  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mat_data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>Medu</th>\n",
       "      <th>Fedu</th>\n",
       "      <th>traveltime</th>\n",
       "      <th>studytime</th>\n",
       "      <th>failures</th>\n",
       "      <th>famrel</th>\n",
       "      <th>freetime</th>\n",
       "      <th>goout</th>\n",
       "      <th>Dalc</th>\n",
       "      <th>Walc</th>\n",
       "      <th>health</th>\n",
       "      <th>absences</th>\n",
       "      <th>G1</th>\n",
       "      <th>G2</th>\n",
       "      <th>G3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "      <td>649.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>16.744222</td>\n",
       "      <td>2.514638</td>\n",
       "      <td>2.306626</td>\n",
       "      <td>1.568567</td>\n",
       "      <td>1.930663</td>\n",
       "      <td>0.221880</td>\n",
       "      <td>3.930663</td>\n",
       "      <td>3.180277</td>\n",
       "      <td>3.184900</td>\n",
       "      <td>1.502311</td>\n",
       "      <td>2.280431</td>\n",
       "      <td>3.536210</td>\n",
       "      <td>3.659476</td>\n",
       "      <td>11.399076</td>\n",
       "      <td>11.570108</td>\n",
       "      <td>11.906009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.218138</td>\n",
       "      <td>1.134552</td>\n",
       "      <td>1.099931</td>\n",
       "      <td>0.748660</td>\n",
       "      <td>0.829510</td>\n",
       "      <td>0.593235</td>\n",
       "      <td>0.955717</td>\n",
       "      <td>1.051093</td>\n",
       "      <td>1.175766</td>\n",
       "      <td>0.924834</td>\n",
       "      <td>1.284380</td>\n",
       "      <td>1.446259</td>\n",
       "      <td>4.640759</td>\n",
       "      <td>2.745265</td>\n",
       "      <td>2.913639</td>\n",
       "      <td>3.230656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>15.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>16.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>12.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>18.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>14.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>22.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>19.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              age        Medu        Fedu  traveltime   studytime    failures  \\\n",
       "count  649.000000  649.000000  649.000000  649.000000  649.000000  649.000000   \n",
       "mean    16.744222    2.514638    2.306626    1.568567    1.930663    0.221880   \n",
       "std      1.218138    1.134552    1.099931    0.748660    0.829510    0.593235   \n",
       "min     15.000000    0.000000    0.000000    1.000000    1.000000    0.000000   \n",
       "25%     16.000000    2.000000    1.000000    1.000000    1.000000    0.000000   \n",
       "50%     17.000000    2.000000    2.000000    1.000000    2.000000    0.000000   \n",
       "75%     18.000000    4.000000    3.000000    2.000000    2.000000    0.000000   \n",
       "max     22.000000    4.000000    4.000000    4.000000    4.000000    3.000000   \n",
       "\n",
       "           famrel    freetime       goout        Dalc        Walc      health  \\\n",
       "count  649.000000  649.000000  649.000000  649.000000  649.000000  649.000000   \n",
       "mean     3.930663    3.180277    3.184900    1.502311    2.280431    3.536210   \n",
       "std      0.955717    1.051093    1.175766    0.924834    1.284380    1.446259   \n",
       "min      1.000000    1.000000    1.000000    1.000000    1.000000    1.000000   \n",
       "25%      4.000000    3.000000    2.000000    1.000000    1.000000    2.000000   \n",
       "50%      4.000000    3.000000    3.000000    1.000000    2.000000    4.000000   \n",
       "75%      5.000000    4.000000    4.000000    2.000000    3.000000    5.000000   \n",
       "max      5.000000    5.000000    5.000000    5.000000    5.000000    5.000000   \n",
       "\n",
       "         absences          G1          G2          G3  \n",
       "count  649.000000  649.000000  649.000000  649.000000  \n",
       "mean     3.659476   11.399076   11.570108   11.906009  \n",
       "std      4.640759    2.745265    2.913639    3.230656  \n",
       "min      0.000000    0.000000    0.000000    0.000000  \n",
       "25%      0.000000   10.000000   10.000000   10.000000  \n",
       "50%      2.000000   11.000000   11.000000   12.000000  \n",
       "75%      6.000000   13.000000   13.000000   14.000000  \n",
       "max     32.000000   19.000000   19.000000   19.000000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "por_data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After we compute the summary statistics, we have established some basic facts. The average age for both is ~ 16.7 years. Students generally spend 2 hours studying, with slightly less for portuguese language versus mathematics. The language group also has what seems to be a meaningfully lower average failure rate (0.33 vs 0.22)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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//omAgIDbXirw9ttv44knngAAyOVytGvXDh4eHhBFEVlZWYiKisLBgwfx+OOP33IdtdHpdHj11VcxZMgQREVFoVOnTvj0009x4MCBO762R48ecHJyqtHJ27FjBwYMGFBjSP7333+PmTNnon///lixYgUWLFgApVKJN998E2lpaejQoQNmzpwJAJg5c6b+sgqg8pzbvXs33nvvPcyfPx8ZGRl48cUX9edqUlISHnvsMWRnZ+OTTz7B3LlzkZycjLFjx+o7xlVef/119OvXDytWrECrVq3w/vvvY/z48Wjbti2WLl2K4OBgzJs3T1/0ysjIwLhx46BWq/Hxxx9j5cqVePDBB/Hdd99h7dq1ACqHvXt4eKB37963vGRv7969mDRpEtzc3PD555/jzTffxJ49e/Daa68BAFauXIn169dj8uTJWL16NcaOHYuvv/4ay5Ytu+OxICKi+hFFUd/nKS8vR2ZmJhYuXAiNRlPtEvKlS5fi9ddfR2hoKL788ktMnjwZv//+O5588kmUlpbC3t4ec+fOxeXLl7F8+XIAwNq1a3HkyBF89NFH1UbMzpo1C/b29vjqq68wfPhwLF68uNY+DlC3fkZdPnvq0obRo0dX+/xdvHhxres5ePAgSkpKbjkiG6j8Qu7LL7+Er68vgMpRUUFBQQAqi1AxMTH44IMP0Lx5c/Ts2fOW66nN2rVrkZiYiHnz5mHOnDk4ffp0nUe0DRkyRH8JX5XExEScP3++RlGqLn3K2vq6VebNm4fw8HAsX74cgwcPxsqVK/Hjjz/qn581axa+/PJLDBs2DMuXL8egQYPw0UcfYcmSJdVybN++HYcOHcLcuXMxY8YMHDp0CE888QTWrl2Lt99+Gx988AFiY2PxwQcf6F+zYMECLF26FGPGjMGqVavw4YcfIi8vD6+88grUajX69OmjH+G+ePFivPTSSzX2lVarxbPPPott27Zh0qRJWLp0KVq3bo3Jkyfj+PHjKCoqwoQJE+Di4oKvvvoKixYtglqtxnPPPYfCwsI6HQ8ic8XL94hMLCUlpdqHaF1FR0fD2toaEydOhFKpBAA4OzsjLi4OoijCz89Pf1161dD4ZcuWIScnB7///ru+o9K7d288/fTT+PTTTzF06FAcOXIER44cwVdffYUHHngAAHDfffdh6NChuHTpUrUMVlZWmD17tn77586dQ5MmTfDJJ5+gWbNmAICuXbsiNja2xqSl9vb2WLRoERQKBbp3746tW7ciPT0dmzZtgoODAwDgwIEDOHHixC33wZo1a+7YntDQ0Br7oTZXr15Fjx49ajxeW3FQoaj+Vvnbb7/pi4F9+vTBsGHDbrmd2oiiiJdeegmjR48GAISHh2P37t34+++/bzmk/sYs/fv3r3YJn1qtxt69e7FkyRJER0dXWz45ORnPPfdctQ6Qr68vRowYgejoaDz44IPw8/MDAPj5+en/DlSODouKioKzszOAygnR//e//yEhIQHt2rXD4sWLYWNjg2+++Ua/z7t164b+/ftj1apV1TqtI0eO1I+us7W1xaOPPorg4GC88sorAIB27drhjz/+wIkTJxAcHIz4+Hi0b98eX3zxhX7d3bt3x7///osjR45g4sSJCAwMhFKphKur6y2P9VdffYX27dtj8eLF+m/hlUolvvjiC2RlZeHo0aPo2LGj/pehyMhI2NjY6M9JIiIynGPHjtXaB3r99dfRpk0bAEB+fj6WLVuGRx99VF+0AQB/f3+MGzcOmzdvxrhx49C9e3eMGTMGUVFRCAkJwWeffYZx48bVuHS/Q4cOWLBgAYDK/k1JSQm+/fZbvPjiizXm86lLP6Munz11bcONn7+3upSravRxy5Ytqz2u0+lqjPiSyWSQyaqPORg2bBguX74Ma2trLF68GNbW1rVu51YcHR2xdOlSyOVyAJX9p6+++gq5ubnVRmLVZvDgwZg/f361S/h27NiBsLAw+Pj4VFv28uXLd+xT1tbXrTJ+/Hh9X6dr167Ys2cPDh8+jCeeeAJJSUnYuHEjXn/9df0UDD179oQgCFixYgUef/xxfVsqKiqwePFiODk5AQD++OMPHDhwAHv27NHniomJwS+//KLfdkZGBl577bVqo81VKhVefvllXLhwAaGhofpLI9u3b4+mTZvW2Ff79+9HbGwslixZgv79++vbkZycjMOHD0OhUCA3Nxfjx49Hp06dAACtW7fGhg0bUFxczH4LNWgsShGZmIeHxy1HYdQ2eXWVzp07Y9GiRRg6dCgGDhyI3r17o2fPnredN+no0aMICwvTd6yqDBs2DNOnT0diYiIOHz4MKysr/QcgUNmpGTJkSI07orRu3VpfkAIqP1h/+OEH6HQ6XL58GVeuXEFCQgISExNrFHeCg4OrFXfc3d1ha2tb7UPU2dkZ8fHx99SeG4sqt1Pb0P2KiopaO8sXLlyo0ZZ169bhwoUL+OKLLzBhwgR89913NS49uJ2wsDD936s6tyUlJXV67ZAhQ7B582YkJSWhVatW2Lt3L2xtbdGlS5caRamqYeEFBQVITEzElStX9MPdqy55uBU/Pz99QQqAvhNV9Y3c4cOHERkZCWtra/3xtre3R0REBA4ePHjL9rq5uQGovESySlVnsGrdPXv2RM+ePVFeXo6EhARcuXIF8fHxyMnJqZbpdkpLS3H27Fm8/PLL1Y7NkCFD9JPBdunSBQsXLsTjjz+Ofv36oU+fPvrRcUREZFgdOnTA7NmzAVR+QVNQUID9+/dj0aJFKCkpwWuvvYaYmBhoNJoaI4MiIiLg6+uLo0ePYty4cQCAadOm4Z9//sELL7yAVq1aYdq0aTW2+fDDD1f798CBA7F27VqcPHmyxhdBhupn1KcNd3KrSw2/+OIL/SixKlOmTMHLL79c7bH3338fOp0O69atwwsvvIDly5ff8QuwGwUFBekLUgDQpEkTAJVfiN2pKOXj44PQ0FDs2rWrWlGqtrbXp09Zmxvn5BIEAb6+vvpL9Q8fPgxRFNGvX79q6+rXrx+WLVuG6OhofT+4TZs2+oIUUNlfdXFx0RekgMr+6o2jk6pG3uXk5Oj7Wnv37gVw575WlejoaFhZWVW7fFImk+lHexUXF8PV1RUvvPACBg0ahF69eqFHjx5466236rR+InPGohSRiSmVSv2Q6tqeu5WwsDBERUXhm2++wZo1axAVFQV3d3e88MIL1b6ZuVF+fn61D9Eq7u7uACoLFbm5uXB2dq7xzVpV4eBGdnZ2NR5bs2YNli9fjry8PLi7u6Njx46wsbGpMZS4truL1DaX0+3UpT115evrW+22vEDlKKSffvpJ/++NGzdi48aNNV7bvHlzNG/eHJ07d4a9vT3efvttHD9+HJ07d67z9m/+plImk0EUxTq9tmvXrnBxcdHfhW/Hjh0YNGhQtU5jlatXr2LmzJk4dOgQrKys0Lp1a7Rr1w4A7ri9m49P1TlS1UHOy8vDjh07ar3r382Tjdd2/G1sbG65bZ1Oh88++wzff/89SkpK4O3tjeDg4Bp38Lmd/Px8iKJY67lcZcKECbCzs8PmzZuxYMECzJ8/H23btsX//vc/dO3atc7bIiKiO7Ozs6vRB+rZsydKSkqwatUqjB8/Xj/nUtVn+43c3d2r9S/s7OzwwAMPYPXq1ejWrVuto4C8vLyq/bvq86lqOzcyVD+jPm24k6oRRSkpKdWmHHj88cerfaE4atSoWl/fvXt3AJV9hwcffBArV66sV1Hq5s/qm/sCdzJ48GB88cUXKCsrQ1JSEi5fvoxBgwbVumxd+5R1zVnVz7lxQvnaVM3PCtxdfzUuLg6zZ89GXFwcbGxs4Ofnpz9ude3b5eXl1dofr2JnZ4fvv/8ey5Ytw86dO7FhwwZYW1tj+PDh+N///nfb3yGIzB2LUkQNSK9evdCrVy+o1WocPnwYa9euxZw5cxASEoLg4OAayzs5OSEzM7PG41WPubi4wMvLC7m5udDpdNU+CG+eE6g227Ztw8cff4y33noLI0aM0Hf0XnnlFcTFxd1tM2+pLu2pq379+iEqKgrJycnVOqA3dpZvnFwyJycH+/fvR69evaoVOaqG22dkZNR52/dKoVDggQcewK5du/Dkk09i//79td4iWafTYeLEibCyssJPP/2E9u3bQ6FQICEhodqw87vl4OCA7t276y/LuznjvagqwM6ePRsPPPCAfkTdrTrdtbG3t4cgCMjJyan2eFlZGQ4fPoyQkBA4Oztj3LhxGDduHLKzs7Fv3z4sX74cL7/8Mv7991928oiITKBjx47YtGkTrl27ph+lkpWVhdatW1dbLjMzs9pndnx8PL777ju0b98e69evx7Bhw6qNwgVQ4wYqVf2b2r6wMFQ/oz5tuJMePXpApVJh165d1ebJ9PLyqlFwq3L48GGUlZVVG02vUCgQEBBw2xHpxjBo0CB8/PHHOHDgAOLi4tC1a9da970x+5SOjo4AgG+//bbWL1hvvpSwPqrmeqqaVL9169aQyWTYt28ffv/99zqvx8HBAXl5eRBFsdro7rNnz0IURXTo0AGtW7fG/PnzodVqcerUKfzyyy9Yv349mjdvjgkTJtx1G4ikxonOiRqITz75BCNHjoQoirCxsUHfvn31c/akpqYCQI1vVzp37oyTJ0/WGBH066+/wsPDAy1atEBkZCQqKirw119/6Z8XRRF79uy5Y6bo6Gg4OjpiwoQJ+s5DcXExoqOj6/wNWn3UpT11NW7cODg7O+Odd95BUVFRjee1Wi0SExP1/y4tLcXbb79dbSQVAPz7778AUO1OhaYwZMgQnD9/HmvWrIG7u3u1y+Oq5ObmIikpCaNGjUJQUJC+ULR//34A//8tZ20jrOoiMjISCQkJaN++PYKCghAUFISOHTvim2++we7du++yZZWio6Ph5+eHkSNH6gtS6enpiI+Pr3Zu3eobRaDyW8X27dvrh9BX2b9/PyZOnIiMjAw89thjmDNnDoDKX1BGjBiBcePGoaCgoNbzgoiIDO/UqVOQy+Vo1qwZQkJCoFQqsX379mrLHD9+HKmpqfr5dCoqKvDOO++gefPm+PHHH9GuXTu8/fbbNe4ud3N/5vfff4eNjU2N4hVQ937G7T57ANS5DXXh4OCAZ555Bj///PMtP1tvLjT98ssvmDZtWrXPsaKiIpw8edLk/RUvLy+Eh4dj165d2Llz5y1HK9W1T3mnfV+bqkv7cnNz9f2VoKAg5OTk4IsvvtCPpLobiYmJyMvLw/jx4+Hn56fPd3Nf6065IyIiUF5ern8dUNkfnz59OlasWIFdu3aha9euyMzMhFwuR1hYGGbNmgVHR0f97wFEDRVHShE1EF27dsWaNWvwzjvvYNiwYSgvL8eqVavg7Oysv8zI0dERJ0+exKFDhxAYGIhnnnkGv/76K55++mlMmTIFzs7O+Pnnn3H48GF89NFHkMlk6Ny5M3r06IEZM2YgKysLPj4++Omnn3DhwoU7zpEUHByM9evX4+OPP0bfvn2RkZGBr7/+GllZWdWuxzeUurSnrry8vLB48WK88sorGDZsGMaMGYMOHTpAJpPh9OnT2Lx5My5fvqyfxNzHxwcjR47EkiVLoFAoEBgYiOPHjyMqKgqjRo2q81xWhhIZGQkPDw+sWLECTz/9dK3Hys3NDb6+vvj+++/RpEkTODo64sCBA/q716nVagDQF33+/vtvODk56S/vu5OXXnoJjz32GCZNmoSxY8dCpVJhw4YN2LNnz23volgXwcHBWLp0KaKiohAaGoorV65gxYoV0Gg0+txA5Tl/9uxZHD16tNbRglOnTsWLL76I119/HQ8//DCysrLw2WefoX///vD390fnzp2xevVqfWEvPT0da9asQWRkZI1LEImI6N4UFRVVu4W9RqPBX3/9hc2bN2PMmDH6992JEydiyZIlsLKyQt++fXHt2jV88cUX8PPzwyOPPAIAWL58Oc6ePYsffvgB1tbW+PDDDzF69GgsWrRIP58iUHnnYDc3N/Tu3RtHjx7F999/j9dee63WS7Lq2s+4+bPn5ssGnZ2d69SGupo6dSrS0tLw8ssvY9CgQRgwYAA8PT2RmZmJvXv3YufOnfDy8kK3bt0AVF6aXnWJ/3PPPQeNRoOVK1eiuLi4xpxTpjB48GDMmzcPgiDob6pzs7r2KW/u69ZFQEAAhg0bhvfeew8pKSno2LEjkpKSsGjRIjRt2rTGJPL10apVK9jb22P58uVQKBRQKBT4/fff9V9iVvVZqkZr7d69G/fdd59+Yv8qffr0QVhYGN555x28+uqraNasGX755RdcunQJH374IZo0aQKdTofJkydj4sSJsLOzw86dO1FYWHjLfUrUULAoRdRA9O7dGwsWLMDq1asxZcoUCIKA8PBwrF27Vj/x87hx43D69Gk8//zzmDdvHh566CGsX78eCxcuxJw5c1BeXo527dph6dKluP/++/XrXrRoET7++GMsXLgQFRUVuP/++zF27Fj8/PPPt830yCOP4Nq1a9i8eTN++OEHeHl5oXfv3nj88cfx3nvv4dKlSzU+dO+Fh4dHndpTVxEREdi2bRvWr1+PXbt2YeXKldBoNPD29kbXrl2xaNGiah2eWbNmoVmzZti4cSNSUlLg7e2NqVOn4rnnnjNYG+tKJpNh4MCBWLdu3S2/dQQqb0k9d+5cvPPOO1AqlfDz88OyZcvw0Ucf4fjx43jyySfRtm1bDB06FN9//z0OHDhQ45vdW2nXrh2+//57LFq0CNOmTYMoivD398eSJUvu6njcaNKkScjNzcXatWuxZMkSeHt7Y/jw4fo75RQUFMDR0RHPPvssPvroIzz33HNYs2ZNjfX07dsXy5cvx+LFizF58mS4urrioYce0nfKX3nlFSiVSmzevBlLliyBg4MD+vXrp7+7IhERGc7Zs2cxZswY/b9VKhWaN2+O1157rdpn6csvvwx3d3esW7cOGzZsgLOzMwYNGoRXX30Vtra2OH/+PJYvX46xY8fqRx116NAB48ePx7fffosBAwboL2175ZVXcPToUWzYsAHe3t6YOXMmxo4dW2u+uvYzbv7suXGS7bq2oT7kcjk++eQTDB06FJs2bcL8+fORlZWlHxE8Y8YMPPzww/p5ldq0aYPvv/8eCxcuxLRp01BRUYHIyEjMnTvX5F+iAZWX8M2dOxd9+vS55V3i6tqnvLmv6+npWacM8+bNw4oVK/Djjz8iLS0Nbm5uGDJkCF599dW7HjEOVH6xt3TpUnz66ad45ZVX9Mdk3bp1eP7553H8+HH069cPXbp0Qffu3bFw4UIcOnQIUVFR1dYjl8uxcuVKLFiwAF988QXUajUCAgKwevVq/Zduq1atwhdffIEZM2ZArVajbdu2+OqrrzgHJjV4gljX2deIqFFKSUlBTEwM7r///mrf9E2dOhXJycnYunWrhOmIiIiI6u/atWu4//77MW/ePIwYMULqOEREdAscKUVk4WQyGd555x3cf//9GDVqFORyOQ4cOIA//vgD8+bNkzoeERERERERNVIsShFZOG9vb6xcuRJLlizBq6++ioqKCrRp0wYLFizA0KFDpY5HREREREREjRQv3yMiIiIiIiIiIpOr/z01iYiIiIiIiIiI7hGLUkREREREREREZHIsShERERERERERkclZ7ETnOp0OFRUVkMlkEARB6jhERERk4URRhE6ng0KhgExWv+8N2a8hIiIic1LXfo3FFqUqKioQFxcndQwiIiKiaoKCgqBUKuv1GvZriIiIyBzdqV9jsUWpqkpdUFAQ5HK5Ubah1WoRFxdn1G2YI0ttN8C2W2LbLbXdgOW23VLbDbDtxm571TbqO0oKYL/GmCy13QDbboltt9R2A2y7JbbdUtsNmFe/xqyLUtevX8esWbNw7NgxODs7Y/z48Xj66acBAGfPnsX777+P+Ph4+Pn5Yfbs2ejYsWOd1101tF0ulxv9BDTFNsyRpbYbYNstse2W2m7Acttuqe0G2HZjt/1uLr9jv8b4LLXdANtuiW231HYDbLsltt1S2w2YR7/GrCc6f/XVV2Fra4stW7bg3Xffxeeff47du3ejpKQEEydOREREBLZs2YKwsDBMmjQJJSUlUkcmIiIiIiIiIqI6MNuiVH5+PmJiYvDiiy+iZcuW6N+/P3r16oVDhw5hx44dUKlUmDZtGtq0aYMZM2bAzs4Ou3btkjo2ERERERERERHVgdkWpaytrWFjY4MtW7agvLwciYmJOHHiBNq3b4/Y2FiEh4frh4EJgoBOnTohJiZG2tBERERERERERFQnZjunlEqlwsyZM/Hhhx9i7dq10Gq1GDFiBEaPHo0///wTfn5+1ZZ3c3PDxYsX670drVZrqMi3XLcxt2GOLLXdANt+409LYantBiy37ZbaboBtv/GnMbdBREREZCnMtigFAJcuXULfvn3xzDPP4OLFi/jwww/RrVs3qNXqGrcUVCqV0Gg09d6GKW6fbKm3aLbUdgNsuyWy1HYDltt2S203wLYTERERkWGYbVHq0KFD+Omnn7Bv3z5YW1sjKCgI6enpWLZsGZo1a1ajAKXRaGBtbV3v7fDWyYZnqe0G2HZLbLulthuw3LZbarsBtt1Ut04mIiIishRmW5Q6ffo0WrRoUa3QFBgYiOXLlyMiIgJZWVnVls/KyoKnp2e9t8NbJxuPpbYbYNstse2W2m7Acttuqe0G2HZLbTsRERGRoZntROeenp64cuVKtRFRiYmJaNq0KUJCQnDy5EmIoggAEEURJ06cQEhIiFRxiYiIiIiIiIioHsy2KNWvXz9YWVnhf//7H5KSkvDXX39h+fLlePLJJzFo0CAUFBRg7ty5SEhIwNy5c6FWqzF48GCpYxMRERERERERUR2YbVHKwcEB33zzDTIzMzFq1CjMmzcPL774IsaMGQN7e3usWLEC0dHRGDFiBGJjYxEVFQVbW1upYxMRERERERERUR2Y7ZxSAODn54c1a9bU+lxwcDC2bt1q4kRERERERERERGQIZjtSioiIiIiIiIiIGi8WpYiIzIjuvxs4mCNzzkZERERERA2PWV++R0RkaWSCgJ1x15FTrLnzwibkaqfE4CBvqWMQEREREVEjwqIUEZGZySnWIKOwTOoYRERERERERsXL94iIiIiIiIiIyORYlCIiIiIiIiIiIpNjUYqIiIiIiIiIiEyORSkiIiIiIiIiIjI5FqWIiIiIiIiIiMjkWJQiIiIiIiIiIiKTY1GKiIiIiIiIiIhMjkUpIiIiIiIiIiIyORaliIiIiIiIiIjI5FiUIiIiIiIiIiIik2NRioiIiIiIiIiITI5FKSIiIiIiIiIiMjkWpYiIiIiIiIiIyOQUUgcgIiIiIiJq6NLT05Gfny91jHui1Wpx7do12NraQi6XSx3HpMy57U5OTvDy8pI6BpFRsChFRERERER0D9LT0/HEk+NRrimTOgo1QlZKFdZ9t5aFKWqUWJQiIiIiIiK6B/n5+SjXlEHdujd01k5SxzFrMnUebJL2Q93qPuhsnKWOY/ZkpflA4j7k5+ezKEWNEotSREREREREBqCzdoLOzl3qGA2CzsaZ+4qIONE5ERERERERERGZHotSRERERERERERkcixKERERERERERGRybEoRUREREREREREJseiFBERERERERERmRyLUkREREREREREZHJmW5TasmULAgICavxp164dAODs2bMYPXo0QkJCMHLkSJw+fVrixEREREREREREVFdmW5QaMmQI/vnnH/2fv//+Gy1atMD48eNRUlKCiRMnIiIiAlu2bEFYWBgmTZqEkpISqWMTEREREREREVEdmG1RytraGh4eHvo/v/76K0RRxJtvvokdO3ZApVJh2rRpaNOmDWbMmAE7Ozvs2rVL6thERERERERERFQHZluUulFeXh5WrlyJN954A0qlErGxsQgPD4cgCAAAQRDQqVMnxMTESBuUiIiIiIiIiIjqRCF1gLpYv349PD09MWjQIABAZmYm/Pz8qi3j5uaGixcv1nvdWq3WIBlvt25jbsMcWWq7Abb9xp+WwtDtlsvlEEUdRFFnkPUZSlWeG9vJY25Z7QbY9ht/GnMbRERERJbC7ItSoihi06ZNmDBhgv4xtVoNpVJZbTmlUgmNRlPv9cfFxd1zRnPYhjmy1HYDbLslMkS7bWxsEBgYiOzsbKTlFBkgleHINfYAWuHChQtQq9XVnuMxtzxsOxEREREZgtkXpeLi4pCeno4HH3xQ/5hKpapRgNJoNLC2tq73+oOCgiCXy+85Z220Wi3i4uKMug1zZKntBth2S2y7Mdrt5uYGrdLeIOsyFDcHFQAgICBA/xiPuWW1G2Dbjd32qm0QERERWQqzL0odOHAAERERcHJy0j/m5eWFrKysastlZWXB09Oz3uuXy+VG71ibYhvmyFLbDbDtlth2Q7ZbEGQQBPOa8q8qT21t5DG3PGy7ZbadiIiIyNDM67eeWpw6dQqdOnWq9lhISAhOnjwJURQBVF7id+LECYSEhEgRkYiIiIiIiIiI6snsi1IXL16sMan5oEGDUFBQgLlz5yIhIQFz586FWq3G4MGDJUpJRERERERERET1YfZFqaysLDg6OlZ7zN7eHitWrEB0dDRGjBiB2NhYREVFwdbWVqKURERERERERERUH2Y/p9SpU6dqfTw4OBhbt241cRoiIiIiIiIiIjIEsx8pRUREREREREREjQ+LUkREREREREREZHIsShERERERERERkcmxKEVERERERERERCbHohQREREREREREZkci1JERERERERERGRyLEoREREREREREZHJsShFREREREREREQmx6IUERERERERERGZHItSRERERERERERkcixKERERERERERGRybEoRUREREREREREJseiFBERERERERERmRyLUkREREREREREZHIsShERERERERERkcmxKEVERERERERERCbHohQREREREREREZmcQuoARESNXW6xBqdT83EhrRBXskugLtdCU6GDjZUcPs428HWxQVhzZ7R2t4MgCFLHJSIiIiIiMgkWpYiIjCC3WINfYlKw60wajiblQCfe+TWeDirc5+8BZxsr2CrlLFAREREREVGjxqIUEZEBpeapsepAEtYfvQp1uVb/eCt3OwR4OaCNpx3sVAoo5TIUl2lxPV+NxKxixCTnIaOwDD9FXwMAONlYIayZMzr4OkIh45XWRERERETU+LAoRURkAGUVOqz6OxFL9iagrEIHAGjv7YiRnXwxsEMTNHO1ve3rS8u1OHE1F9tiU7HlRAry1eX4Oz4Tx6/kIrKVKzr4OELGkVNERERERNSIsChFRHSPzmdp8OZX/yApqwQAENnSFVP6+aFXW/c6X4JnbSVH9zbu6N7GHf6eDth3MRPHL+eiqKwCf53PwOmUfNzfzhOejtbGbAoREREREZHJsChFRHSXRFHEygNJ+PTvyjmjPBxUeG9oIB4K9r6n+aCUChlCmjqjg7cj4lLycTgxBxmFZfjxWDI6tXBBt9ZukMs4aoqIiIiIiBo2FqWIiO5CiaYCr/4Ygz/OpgMAHgr2xpxHguBkY2WwbSjkMoQ1d4G/lwP2X8xEfHoRoq/k4lpuCQZ1aAJnW6XBtkVERERERGRqnD2XiKiecoo1GLvyCP44mw6lXMDETo5Y9GiwQQtSN7JTKTC4ozeGBDWBSiFDekEZ1h9NRmJmkVG2R0REREREZAosShER1UNyTglGLTuI2OQ8ONta4YcJXTCwje09Xa5XV209HTCuS3P4OFtDo9Vh26nrOJqUA1EUjb5tIiIiIiIiQ2NRioiojlLz1Bi78jASs4rh62yDn17ojrDmzibN4GBthRFhTRHc1AkAcCgxG7+fSYdWx8IUERERERE1LGZdlNJoNJg9ezY6d+6M7t2747PPPtOPCDh79ixGjx6NkJAQjBw5EqdPn5Y4LRE1ZhkFpXh85WFcy1WjlbsdNr/YHX6e9pJkkcsE9A3wRL92npAJwIX0QvwSm4KyCq0keYiIiIiIiO6GWRel5syZg4MHD+Lrr7/GwoULsXHjRmzYsAElJSWYOHEiIiIisGXLFoSFhWHSpEkoKSmROjIRNUJ5JRqMW3UEl7NL0NTFBt9P6IImTtZSx0KQrxOGhfjASi4gOUeNzSdSoNawMEVERERERA2D2Ral8vLysHnzZnz44YcIDg5Gt27d8OyzzyI2NhY7duyASqXCtGnT0KZNG8yYMQN2dnbYtWuX1LGJqJHRVOjwwrpoXMwoQhNHa/wwoSt8nG2kjqXXws0OIzs1hY2VHJmFZdhy8hoLU0RERERE1CCYbVEqOjoa9vb2iIyM1D82ceJEzJs3D7GxsQgPD9dPLCwIAjp16oSYmBiJ0hJRYySKIt7dGofDiTmwVynwzbOd0dzNVupYNXg5WmNUeFPYKuXIKtKwMEVERERERA2CQuoAt5KcnAxfX1/8/PPPWL58OcrLyzFixAi8+OKLyMzMhJ+fX7Xl3dzccPHixXpvR6s13i9uVes25jbMkaW2G2Dbb/zZGKzYn4ifoq9BJgBfPhaCth52Ndpn6HbL5XKIog6iqKvX61xsFRgR5oMtJ1ORVaTB5hPX8EiYD2yVcoPkqspzYzsb4zGvC51OBxsbG+h09TtGjYGlHnPANG23xP1KREREls1si1IlJSW4cuUKfvzxR8ybNw+ZmZmYOXMmbGxsoFaroVQqqy2vVCqh0WjqvZ24uDhDRZZ0G+bIUtsNsO0AYGVlhcAOHaCQG6YoYmgVWi3OnjmD8vLyWp8/lV6GBftzAQDPhjrAqSQFMTEpt1yfIY65jY0NAgMDkZ2djbScortax33NlPj7SimyizXYdOwKerewgbVCuOdsco09gFa4cOEC1Gp1teekPt9Nfa7J5XIEBgbWadk7nWcNldTHXEqW3HYiIiIiQzPbopRCoUBRUREWLlwIX19fAEBqairWr1+PFi1a1ChAaTQaWFvXf+LhoKAgyI30i4xWq0VcXJxRt2GOLLXdANt+c9vlcjl2nEpFTnGZxOmqc7VTYUiwDzp06FDr89fzS/HVjoPQARgd7ovpI4JuuS5jHHM3NzdolXd3Z78mADzcNdhyMhX5ZVr8m1KBEZ18YGN1b9ncHFQAgICAAP1j5nS+m/Jc04lAbk42XFzdILtNve9O51lDZE7H3NRM0faqbRARERFZCrMtSnl4eEClUukLUgDQqlUrXL9+HZGRkcjKyqq2fFZWFjw9Peu9HblcbvSOtSm2YY4std0A235j23NLypFZZF6jRAShcjq92o5RuVaHqT/GIKdYg0BvR3z4cN1+ATXkMRcEmT7j3XC1t8bITk2x+cQ1ZBdrsC02DSM6+cJKfvfrvN0+M5fz3VTnmijqkJZTBK3S/rbH6Xb7rKEzl2MuBUtuOxEREZGhme1E5yEhISgrK0NSUpL+scTERPj6+iIkJAQnT56EKIoAKicjPnHiBEJCQqSKS0SNxKLd8ThxNQ+O1gosfyIc1vc4wkgqLnZKPBLmC5VChrSCUvwWdx1anSh1LCIiIiIiIj2zLUq1bt0affr0wfTp03H+/HkcOHAAUVFRGDt2LAYNGoSCggLMnTsXCQkJmDt3LtRqNQYPHix1bCJqwI4kZmPZvksAgE9GBpvlnfbqw81eheGhPlDIBFzJLsHuc+n6Yj4REREREZHUzLYoBQALFixA8+bNMXbsWLz99tsYN24cnnzySdjb22PFihWIjo7GiBEjEBsbi6ioKNjaNuxfIIlIOvnqcry2IQaiCDwa0RSDg7yljmQQ3k42eDDIGzIBuJBWiP0Xs1iYIiIiIiIis2C2c0oBgIODAz799NNanwsODsbWrVtNnIiIGqv3fzmN1PxStHCzxfsPNZ6JqQGgpbsdBgR64fcz6YhJzoOtUo7OLV2ljkVERERERBbOrEdKERGZwu6z6fg5JhUyAVg0JhR2KrOu19+Vdk0ccV9bdwDAwUvZOHu9QOJERERERERk6ViUIiKLll9SjhlbK2/B/vx9rdGpuYvEiYwnrLkLIlpUtu/Pc+m4mlMicSIiIiIiIrJkLEoRkUX7YPtZZBSWobWHHV7r7y91HKPr3sYN/l720InAb3HXkV1UJnUkIiIiIiKyUCxKEZHF2h+fic0nrkEQgPmjgmFtJZc6ktEJgoABgV7wcbaGpkKHX2JTUVxWIXUsImogioqKpI5AREREBmAun+ksShGRRSot1+K9X04DAJ7q1hLhLSxn4m+FTIahwT5wtrVCYWkFfo1NhaZCJ3UsIjJzqampmDVrFlJTU6WOQkRERPfAnD7TWZQiIou0dG8CrmSXwMtRhTceaPyX7d3MxkqO4SE+sLGSI6OwDLvOpEEnilLHIiIzVlRUBFEUzeabVSIiIro75vSZzqIUEVmczMIyLNt3CQAw66EOcLC2kjiRNJxtlXgoxBtymYCkrGLsi8+EyMIUERERERGZCItSRGRRRFHEr7GpKNeK6BvggUEdm0gdSVLeTjYY2MELAHDqWj5OJudJG4iIiIiIiCwGi1JEZFESMouQmFUMpUKG2cM6QhCEe16njY2NAZJJp62nA3r5uQMADlzMQkKG9MN4iYiIiIio8WNRiogsRrlWhwMXswAAk+5rjeZutve8TrlcjsDAQMjlDfvOfWHNnRHs6wQA2HUmDWn5pRInIiIiIiKixk4hdQAiIlOJvpKLwtIKuNha4aU+ftgZdx05xZp7Wqco6pCdnQ03NzcIwr3V+Vu62aJHW497WsfdEgQBvf09UFBajsvZJfg1NhWPRjSFs61SkjxERERERNT4sShFRBahQF2O41dyAQAjOzWFjVKOnGINMgrL7mm9oqhDWk4RtEr7ey5KuUhcAJLJBAzu6I2fTlxDZmEZfolNxaMRzWBj1bBHgRERERERkXni5XtEZBEOJmZDqxPh62yDsGbOUscxW0qFDMNCfGCvUiCvpBzbYlNRodVJHYuIiIiIiBohFqWIqNFLLyjFhbRCAECvtu4Gmdy8MbNXKfBwqA+UChmu55di15k06ERR6lhERERERNTIsChFRI2aKIr4J6FycvOAJg7wcrSWOFHD4GavwkPB3pALAi5lFmNH3HWILEwREREREZEBsShFRI3a5ewSXMtVQy4T0L21m9RxGpSmLrZ4oIMXAOBQYg5WHkiUOBERERERETUmLEoRUaOl0/3/KKnQps5wtLGSOFHD4+/lgF5+7gCAj3acxy8xKRInIiIiIiKixoJFKSJqtM5eL0BOsQYqhQwRLV2kjtNghTV31o8ye3NTLA5eypI4ERERERERNQYsShFRo1Su1eFwYjYAILKVK6yt5BInargEQcDgoCYYEtQE5VoRk9ZG43xagdSxiIiIiIiogWNRiogapRNXclGs0cLRWoHgpk5Sx2nwZIKAzx4NReeWLigsq8DTq4/hen6p1LGIiIiIiKgBY1GKiBqd4rIKRF/NBQD08HOHQsa3OkOwtpJj5fgI+HnaI62gFM98cxyFZTqpYxERERERUQPF39SIqNE5fjkX5VoRXo4qtPW0lzpOo+Jsq8Q3z3SGl6MKFzOKMPefXBSVVUgdi4iIiIiIGiAWpYioUSkoLUdcSj4AoHsbdwiCIHGixqepiy3WPdcFLrZWuJhTjknrTqC0XCt1LCIiIiIiamBYlCKiRuVYUg60ooimzjZo5mIjdZxGq62XA1Y/FQFrhYDDiTl4ef1JlGt5KR8REREREdUdi1JE1GjklWhw5nrlXeG6tnHjKCkjC27qhOk9nKFUyLD7bDqm/XQKOp0odSwiIiIiImogWJQiokbjSFIORBFo4WYLX2eOkjKFjp4qLBkbCoVMwNaTKXj/1zMQRRamiIiIiIjozliUIqJGIbuoDOfTCgEA3Vq7SZzGsvRr54mFj4ZAEIDvDl/B7G1nWZgiIiIiIqI7Muui1O7duxEQEFDtz9SpUwEAZ8+exejRoxESEoKRI0fi9OnTEqclIikdScoBALTxsIOXo7XEaSzP8FBffDIiGADwzcHL+GA7C1NERERERHR7Zl2USkhIQN++ffHPP//o/8yZMwclJSWYOHEiIiIisGXLFoSFhWHSpEkoKSmROjIRSSCzsAwXM4oAAF05Skoyj3Zuho9HBAEA1vx7GR9uP8fCFBERERER3ZJZF6UuXboEf39/eHh46P84Ojpix44dUKlUmDZtGtq0aYMZM2bAzs4Ou3btkjoyEUngUGI2AMDfyx7u9iqJ01i2xyKbY95/hanV/yZh7m8sTBERERERUe3MvijVsmXLGo/HxsYiPDxcf2ctQRDQqVMnxMTEmDYgEUkuLb8USVnFEASOkjIXYyOb46NHKgtTq/5Jwkc7WJgiIiIiIqKaFFIHuBVRFJGUlIR//vkHK1asgFarxaBBgzB16lRkZmbCz8+v2vJubm64ePFivbej1WoNFfmW6zbmNsyRpbYbYNtv/AkAcrkcoqiDKOqMtt0jSZWjpNp5OcDZRlHHbVUuY4hsOp2o/ymT3Ws7DZfL0Kry3Hh8b3e+j4nwhVarxXu/nsXKA0koLqvA7IcCIZMJRslninOtSl2PeW37rKHje5xp+g1ERERElsJsi1KpqalQq9VQKpX4/PPPce3aNcyZMwelpaX6x2+kVCqh0WjqvZ24uDhDRZZ0G+bIUtsNsO0AYGNjg8DAQGRnZyMtp8go28pVa3E5uxQCgJb2FUhLS6vT65pY6wD4Ii8vH2mZeQbJkpGRfs/rMEYuQ5Fr7AG0woULF6BWq6s9d6vzPVAFvBjuiOXRBfjhaDKS0zIxpbMTFAYuTJniXKvNnY757fZZQ8f3OCIiIiIyBLMtSvn6+uLIkSNwcnKCIAho3749dDod3nrrLURGRtYoQGk0Glhb1/+OW0FBQZDL5YaKXY1Wq0VcXJxRt2GOLLXdANteW9vd3NygVdobZZvRcZVFKH8ve7Rt7lXn1zk7O/z30wka+b3dqU+nE5GRkQ5PT697HgVkyFyG5uZQOVdXQECA/rG6nO+hoUA7v+t4Y9MpHLhaCpWtI758LBgqK8P//zDmuXajuh7z2vZZQ8f3OOO2vWobRERERJbCbItSAODs7Fzt323atEFZWRk8PDyQlZVV7bmsrCx4enrWextyudzoHWtTbMMcWWq7Abb9xrYLggyCYPjp67KKynApsxgAENnKrZ7bkBksW9XlWzKZYIB2Gi6XoVXlqe28vtP5PjysKRxsrPDiuhPYcz4DE747gZXjI2CnMuxHkKn2W12P+e32WUPH9zjLbDsRERGRoZnXbz03OHDgALp06VLtkodz587B2dkZ4eHhOHnypH7iXFEUceLECYSEhEgVl4hM7FhSDgCgrac9XO2Ud1iapNavnRe+eSYSdko5Dl7KxrhVR5BTXP9LromIiIiIqPEw26JUWFgYVCoV/ve//yExMRH79u3Dp59+igkTJmDQoEEoKCjA3LlzkZCQgLlz50KtVmPw4MFSxyYiE8gt1iA+o3LuoM4tXSVOQ3XVrY0bfni+K5xtrRCTnIeRyw7iSnax1LGIiIiIiEgiZluUsre3x9dff42cnByMHDkSM2bMwJgxYzBhwgTY29tjxYoViI6OxogRIxAbG4uoqCjY2tpKHZuITODY5cpRUq3d7eDx37w91DCENHPGTy90h6+zDZKyijFy2UHEJudJHYuIiIiIiCRg1nNKtW3bFmvWrKn1ueDgYGzdutXEiYhIavnqcpxPLwQARLbiKKmGyM/THltf6o5nvjmGM6kFeCzqMJaO64S+7eo/LyARERERETVcZjtSioioNscu50AUgRZutvByNK871FHdeTpaY8OkbujV1h3qci0mrD2ODceuSh2LiIiIiIhMiEUpImowCkrLce56AQAgknNJNXj2KgVWP90ZIzr5QqsT8fbmOMzbcQ5anSh1NCIiIiIiMgEWpYiowYi+kgudCDR1sYGPs43UccgArOQyLBwdgqn3twUArNifiEnfRaO4rELiZEREREREZGwsShFRg1BcVoEzqRwl1RgJgoDXB/jji8dCoVTIsOdcOkYuO4iUPLXU0YiIiIiIyIhYlCKiBiH6Si60OhHeTtZo6sJRUo3R8FBfbJjYFe72KpxPK8Twxf/ixNVcqWMREREREZGRsChFRGavRFOBuJR8AJV33BMEQeJEZCxhzV3wy5QeaO/tiKyiMjwWdRi/xKRIHYuIiIiIiIyARSkiMnsnr+ahQifC00GFFq62UschI/N1tsFPL3RD//Ze0FTo8MqPMfjsjwvQcQJ0IiIiIqJGhUUpIjJrpeVaxF7LAwB04Sgpi2GnUmDFk+GY1Ls1AODLvxIw+YcTKNFwAnQiIiIiosaCRSkiMmsnk/NQrhXhbq9EK3c7qeOQCcllAqYPbo/5o4JhJRew83QaRi07xAnQiYiIiIgaCRaliMhslVVoEZucB6DyjnscJWWZRkc0ww/Pd4WbnRJnrxdg+OJ/EH0lR+pYRERERER0j1iUIiKzFXstH2UVOrjaKuHnaS91HJJQ55auN0yArsHYqCP4Kfqa1LGIiIiIiOgemLwolZPDb7eJ6M40FTqcvJoLAOjcyoWjpAhNXWzx0wvdMLCDFzRaHd7cFIu5v52FlhOgExERERE1SEYpSrVv377W4lNKSgruv/9+Y2ySiBqZuJR8lJbr4GRjBX9PB6njkJmwUymwbFw4pvbzAwCsPJCECd8eQ0FpucTJiIiIiIiovhSGWtHPP/+MLVu2AABEUcTkyZNhZWVVbZmMjAx4eHgYapNE1EhVaHU4UTVKqqULZDKOkqL/J5MJeP2BALT1csCbm2Kx90ImRiw9iGHB3lJHIyIiIiKiejBYUWrAgAG4dq1yfo+jR48iNDQUdnbV75Rla2uLAQMGGGqTRNRInU4tQIlGCwdrBdo1cZQ6Dpmph0J80NLNDs+vPY6EjCIs25eIwR2boJmrrdTRiIiIiIioDgxWlLKzs8OUKVMAAL6+vhgyZAhUKpWhVk9EFqJCp0P0lcpRUhEtXCDnKCm6jaCmTvh1Sg88/100YpPzsDUmBX38PRDc1FnqaEREREREdAcGK0rd6JFHHsGVK1dw+vRplJfXnOfj4YcfNsZmiagROJdaiKKyCtirFAj04SgpujNPR2tsmNgVj604hJhr+dh7IRMF6gr08HPjBPlERERERGbMKEWpVatWYcGCBXBycqpxCZ8gCCxKEVGttDoRx69U3iQhvIULFDKT3yCUGihrKzlGhTeFjVKBQ4nZiL6ai4LScjwQ6AWFnOcREREREZE5MkpRavXq1Xjrrbfw3HPPGWP1RNRIXUgrREFpBWys5OjAUVJUT4IgILKVKxytFdh9Lh0XM4pQVFaBh4J9YKOUSx2PiIiIiIhuYpSvj8vKyvDAAw8YY9VE1EjpRBHHLv//KCkrjm6hu9TO2xGPhPlCpZDhen4pNhxPRm6JRupYRERERER0E6P81vfQQw/hhx9+gCiKxlg9ETVC8emFyFOXw9pKhiBfJ6njUAPX1MUWj0Y0g6O1Avnqcmw6fg0ZBaVSxyIiIiIiohsY5fK9oqIi/PTTT9i+fTuaNm0KKyuras+vXbvWGJslogZKFEUcu1x5x72wZi5QKjhKiu6dq50Sj0Y0w6+xqcgoLMPmEykYFuIDXxcbqaMRERERERGMVJRq2bIlXnjhBWOsmogaoYTMIuQUa6BUyBDSjKOkyHDsVAqM6OSLbbHXkZKnxtaYFAzp2AStPeyljkZEREREZPGMUpSaMmWKMVZLRI2QKIo4llQ5Siq0qTNUCk5ITYalUsjxcKgPdpxOQ1JWMbbHXceA9l5o783J9ImIiIiIpGSUotT06dNv+/y8efOMsVkiaoCSsoqRWVQGK7mAsObOUsehRkohl+HBIG/sOZeO82mF+ONsOjQVOoQ0c5Y6GhERERGRxTLJxC0VFRVISkrCjh074OrqaopNElEDIIoijv53x73gps6wtuIoKTIeuUzAA4FeCP2vEPV3fCZik/MkzUREREREZMmMMlLqViOhVq1ahfj4eGNskogaoKs5JUgvKINCJqATR0mRCQiCgPvaukMuExB9JRd/x2cCAEdMERERERFJwChFqVsZNGgQlixZclevnThxIlxdXfHxxx8DAM6ePYv3338f8fHx8PPzw+zZs9GxY0dDxiUiIxJFEUeTKkdJdfR1gq3SpG9HZMEEQUCPNm4AwMIU0V24evUq5HLLGdmq1Wpx7do12NraWlS7Aba9Pm2/cuWKCVKRJTPmOWap/9cttd1A5We5uTDZb4ElJSXYuHEjXFxc6v3a3377Dfv27cMjjzyiX9fEiRPx0EMP4eOPP8b69esxadIk7N69G7a2toaOTkRGcC1XjdT8UsgFAeEt6v++QHQvWJgiunucG5SIyPTmzp0rdQQiozBKUapdu3YQBKHG4yqVCnPmzKnXuvLy8vDpp58iKChI/9iOHTugUqkwbdo0CIKAGTNmYP/+/di1axdGjBhxz/mJyPiqRkl18HWEvYqjpMj0aitMCULl/GZEdGvTp09Hq1atpI5hMlqtFvHx8fD397e4b9LZ9rq3/cqVKywakFHNmDEDLVq0MMq6LfX/uqW2GwCSkpLM5ksmo/wmuHbt2mr/FgQBVlZW8PPzg729fb3W9cknn2D48OHIyMjQPxYbG4vw8HB94UsQBHTq1AkxMTEsShE1ACm5alzLU0MmABEcJUUSurkwtfdCJlQKOQKaOEicjMh8NW/eHP7+/lLHMBmtVouSkhKL/KWFbbfMtpN5atGihdHeey31fLfUdgOVbTcXRilKRUZGAgAuX76MS5cuQafToVWrVvUuSB06dAjHjx/Htm3bMGvWLP3jmZmZ8PPzq7asm5sbLl68WO+sxjwYVes2pwNuCpbaboBtv/EnAMjlcoiiDqKoq7bskaRsAEAHH0fYq+Q1nje+yu3Vlq3ea9KJ+p8y2b22w3C5DK0qz43H15zO91uda3XVvbULyrVanLpWgD/OpkGlENDCrfbLwet6zGvbZw2dOR1zUzNF2y1xvxIREZFlM0pRqqCgANOnT8eff/4JJycnaLVaFBcXo3PnzliyZAkcHO78DXRZWRnef/99zJw5E9bW1tWeU6vVUCqV1R5TKpXQaDT1zhoXF1fv15jjNsyRpbYbYNsBwMbGBoGBgcjOzkZaTpH++awSLZJzSyEAaG5TjrS0NJNnbGKtA+CLvLx8pGXmGWSdGRnp97wOY+QyFLnGHkArXLhwAWq1utpzUp/vtzrX6ivAQUSuoxzJBVpsP3UdfVpYw8321t+a3emY326fNXRSH3MpWXLbiYiIiAzNKEWpOXPmIC0tDTt27EDr1q0BAAkJCXjnnXcwb948fPTRR3dcx+LFi9GxY0f06tWrxnMqlapGAUqj0dQoXtVFUFCQ0YbqabVaxMXFGXUb5shS2w2w7bW13c3NDVrl/4+SPByTCgAI9HZAm+aeJs8JAM7ODv/9dIJGXv/3jRvpdCIyMtLh6ekFmazmXHpS5TI0NwcVACAgIED/mLmd7zefa3djmJeIbaeu42qOGv9e02BkuC/c7Kp/CVLXY17bPmvozO2Ym5Ip2l61DSIiIiJLYZSi1F9//YU1a9boC1IA4Ofnh5kzZ+L555+v0zp+++03ZGVlISwsDAD0Rajff/8dQ4cORVZWVrXls7Ky4OlZ/19w5XK50TvWptiGObLUdgNs+41tFwQZBEEGALier8bVHDUEAejcyk3/uOnJamS76zX9d/mWTCYYoD2Gy2VoVXlqO6/N5Xw3xH5TyIEHg3yw9WQK0gpK8UvMdYyOaApHayv9MnU95rfbZw2duRxzKVhy24mIiIgMzSi/9ahUKshkNVctCEKd50v47rvvsG3bNvz888/4+eef0a9fP/Tr1w8///wzQkJCcPLkSYhi5bweoijixIkTCAkJMWg7iMiwjvx3x732TRzhZGN1h6WJpKFUyDAs1AeutkoUlVXgl5hUlFVwrh8iIiIiIkMzSlGqX79+mD17Nq5evap/7PLly5gzZw569+5dp3X4+vqiRYsW+j92dnaws7NDixYtMGjQIBQUFGDu3LlISEjA3LlzoVarMXjwYGM0h4gMIK2gFFeySypHSbXkHffIvNlYyfFwmA/sVQrkFGuwIy5NP8E5EREREREZhlGKUm+99RZUKhUGDhyILl26oEuXLhg0aBCcnJzw3nvv3fP67e3tsWLFCkRHR2PEiBGIjY1FVFQUbG1rv1MSEUnv6H+jpNp5OcDZVnmHpYmk52BthYeCvaGQCbiaU4J9FzOljkRERERE1KgYfE6pK1euwMfHB9999x0uXLiAS5cuQaVSoWXLlmjTps1dr/fjjz+u9u/g4GBs3br1XuMSkQlkFJQiKasYAoDOrVyljkNUZ56O1hjUsQm2n7qOU9fy4WKrREhTR6ljERERERE1CgYbKSWKIubMmYPBgwfj5MmTACrvODRkyBBs3rwZQ4cOxccff6yfB8pSWFlx3hyio5crR0n5N3GAC0dJUQPTxsMePf3cAQD74zNxObtY4kRERERERI2DwYpSa9euxY4dO7BkyRJERkZWe27p0qVYsmQJtm7divXr1xtqkw1CYIcOZnmXHp2FFQdJOtfz1biUWflLfGRLjpKihqlTc2cEejtCBLDzdDryS3VSRyIiIiIiavAMdvnexo0b8d5776Fv3761Pt+vXz+8+eabWLt2LR5//HFDbdbsKeRy7DiVityScqmj6LnaKTE4yFvqGGQh9l6onIfH39MernYcJUUNkyAI6NfOE/nqcqTkqfFPcila+GphozTK1IxERERERBbBYEWplJQUBAcH33aZrl27Yu7cuYbaZIORU1yGzCLzKUoRmcr5tAKcSS0AAERyLilq4OQyAQ8Ge+PHo1dRUFqB38+kY1ioL2SCIHU0IiIiIqIGyWBf8bq5uSElJeW2y6SlpcHZ2dlQmyQiM/flnxcBAH6e9nCzV0mchuje2VjJ8WBQE8gF4EqOGkcSc6SORERERETUYBmsKDVgwAB89dVXKC+vfURQRUUFFi9ejJ49expqk0Rkxs6k5mNHXBoEAF04SooaEQ8HFcK9Ky9FPXo5B4mZRRInIiIiIiJqmAxWlHrppZeQnp6OESNGYOPGjTh79iySk5Nx+vRpbNiwAY888giSk5Px8ssvG2qTRGTGFu2uHCUV5OsEd46SokampbMVgn0dAQC/n01HXolG4kRERERERA2PweaUcnR0xMaNG7FgwQJ8/PHHUKvVAABRFOHg4IAhQ4bg5Zdfhru7u6E2SURmKjY5D3vOpUMmAP3aeYL3eqTGqFdbd2QWaXA9vxTbT13HmM7NYCXnxOdERERERHVlsKIUADg7O2POnDmYOXMmkpOTUVBQAGdnZzRv3hxyudyQmyIiM/bZ7ngAwMNhvvBwUCGjsEziRESGJ5cJGBLkjfVHryK7WIM/z2VgYAcvCJz4nIiIiIioTozyla5SqUSbNm0QFhaGVq1asSBFZEGir+RiX3wm5DIBr9zfVuo4REZlr1JgSEdvCAJwIb0QZ64XSB2JiIiIiKjB4HUGRGRQi/ZUziU1OrwpWrjZSZyGyPh8XWzQrbUbAGDfhUxkF3FkIBERERFRXbAoRUQGczqjDIcSc2AlFzCln5/UcYhMJqKFC5q72qJCJ2Ln6TSUa3VSRyIiIiIiMnssShGRQYiiiB/PFAEAHuvcHE1dbCVORGQ6giDggUAv2CrlyC7WYH98ptSRiIiIiIjMHotSRGQQ/yRk41xWOZQKGSb35Sgpsjx2KgUGdmgCADidWoBT1/IlTkREREREZN5YlCKieyaKIhb8UXnHvXGRzdDEyVriRETSaO5qi84tXQAAP8ek4Ep2scSJiIiIiIjMF4tSRHTPdsSl4XRqAawVAl7o3VrqOESS6trKDT5O1iir0OHl9Sc5vxQRERER0S2wKEVE96Rcq8OCPy4AAIb528LdXiVxIiJpyWQCBnVsAhsrOU5dy8eXf16UOhIRERERkVliUYqI7slP0deQlFUMV1srPORvJ3UcIrPgYG2F4aE+AIAlexMQfSVH4kREREREROaHRSkiumtqjRaf76mcS+qlvm1ga8W3FKIqQb5OeCTMFzoReG1DLIrKKqSORERERERkVvgbJBHdtW8PXUZ6QRl8nW3weGRzqeMQmZ3ZwzvA19kGV3NK8OG2s1LHISIiIiIyKyxKEdFdyS8px9K9CQCA1wf4Q6Xg2wnRzRytrbDw0RAIArDheDJ+P5MmdSQiIiIiIrPB3yKJ6K4s338JBaUV8Peyx8NhvlLHITJbXVu7YWKvyrtSTt8Sh4zCUokTERERERGZBxaliKje0gtKsebfJADAWwPbQS4TJE5EZN5ef8Af7b0dkVOswds/nYIoilJHIiIiIiKSHItSRFRvn++5iNJyHcJbuKB/e0+p4xCZPZVCjs/HhEKpkGHvhUysO3JV6khERERERJJjUYqI6uVCWiE2HKv8hfqdwe0gCBwlRVQXAU0cMG1gAABg7m9ncSmzSOJERERERETSYlGKiOrlox3noBOBQR2aoHNLV6njEDUoz/ZohR5+bigt1+G1DTEo1+qkjkREREREJBmzLkpduXIFzz33HMLCwtCnTx+sWrVK/1xycjKefvpphIaGYsiQIfjnn38kTEpkGfbHZ2JffCas5ALeGdxO6jhEDY5MJmDB6BA4Witw6lo+vvorQepIRERERESSMduilE6nw8SJE+Hi4oKtW7di9uzZWLZsGbZt2wZRFDF58mS4u7tj8+bNGD58OKZMmYLU1FSpYxM1WlqdiI92nAMAPNm1JVq620mciMyBjY2N1BEaHG8nG8x5JAgAsGRvAmKT86QNREREREQkEbMtSmVlZaF9+/aYNWsWWrZsid69e6Nbt26Ijo7G4cOHkZycjA8++ABt2rTBpEmTEBoais2bN0sdm6jR2nQ8GefTCuFkY4Wp9/tJHYdMzFYph+6mO8bJ5XIEBgZCLpdLlKrhGhbig6HB3tDqRLy+MQal5VqpIxERERERmZxC6gC34unpic8//xwAIIoiTpw4gWPHjuH9999HbGwsAgMDYWtrq18+PDwcMTEx0oQlauSKyyqwcHc8AODlfn5wtlVKnIhMTaWQQyYI2Bl3HTnFGgCAKOqQnZ0NNzc3CIJ033G0dLNFj7Yekm3/bn04vCOOJOXgUmYxPt11ATMfCpQ6EhERERGRSZltUepG/fr1Q2pqKvr27YuBAwfio48+gqdn9dvQu7m5IS0tTaKERI3bin2XkFlYhhZuthjfraXUcUhCOcUaZBSWAagsSqXlFEGrtJe0KOXSQIukLnZKfDoyGM98cwyr/01C/0BPdG/jLnUsIiIiIiKTaRBFqS+//BJZWVmYNWsW5s2bB7VaDaWy+i8hSqUSGo2m3uvWao13yYROp4NcLodOrPzlzVxUZTFW26vWa8x9a64aY9uv55ci6kAiAGDaA/6QC2Kt7aut7XK5HKKoM6vzv1JlHkNk0+lE/U+Z7F7babhchlczm2Hbfi9Mu9/q2u66vNfe19YNj3Vuih+PXcObm2Kx4+WecLA234/mxvgeV1emaLsl7lciIiKybObb871BUFDlhLBlZWV48803MXLkSKjV6mrLaDQaWFtb13vdcXFxBslYGxsbGwQGBiI3JxtpOUVG2059yTX2AFrhwoULNfajIRlz35q7xtT2r47mobRch3ZuVvAqv46YmNuPSKxqe9X5n51tXuc/ADSx1gHwRV5ePtIy8wyyzoyM9HtehzFyGcrtshmi7fdCqv12p3bX9b12qK8Of52VIzWvFK9/9y8md3YycFLDa0zvcfVlyW0nIiIiMjSzLUplZWUhJiYG/fv31z/m5+eH8vJyeHh4IDExscbyN1/SVxdBQUFGm6RXp6v8ltzF1Q1apb1RtnE33BxUAICAgACjrF+r1SIuLs6o+9ZcNba2R1/Jxd9XKotQH40OR0gz51sue6u2u7mZ1/kPAM7ODv/9dIJGXv9i9o10OhEZGenw9PSCTCaYTS5Dqy2bIdtu6GzGVNd21+e99kuPHIxddRR/XVZjTM/26N++/p9nptDY3uPqwxRtr9oGERERkaUw26LUtWvXMGXKFOzbtw9eXl4AgNOnT8PV1RXh4eFYvXo1SktL9aOjoqOjER4eXu/tyOVyo3esZQIknW/lZlVZjN1uU+xbc9UY2q7Vifjgt3MAgNHhTdGppVudXndz2wVBZlbnf6XKPIbIVnX5lkwmGKCdhstleDWzGbbt98K0+62u7a7Pe23XNh54vldrRO1PxIyfTyOi5X1ws1cZJrARNIb3uLtlyW0nIiIiMjRz+61HLygoCB06dMC7776LhIQE7Nu3D/Pnz8cLL7yAyMhIeHt7Y/r06bh48SKioqJw6tQpjBo1SurYRI3GxuPJOJ1SAAeVAtMGtZM6DlGj9/oAf/h72SOrSIMZW09DFEWpIxERERERGZXZFqXkcjmWLl0KGxsbjBkzBjNmzMCTTz6J8ePH65/LzMzEiBEj8Ouvv2LJkiXw8fGROjZRo5BfUo75v18AALw6wB8eDuY7YoOosbC2kuOzR0OhkAnYdSYNP8ekSB2JiIiIiMiozPbyPQDw8vLC4sWLa32uRYsWWLdunYkTEVmGz3ZfQE6xBm097TG+Wwup4xBZjI6+Tnjl/rZYuDseM385g66t3eDtZCN1LCIiIiIiozDbkVJEJI1z1wvw3eErAIDZwzrASs63CSJTerFPG4Q0c0ZhaQXe2nQKOh0v4yMiIiKixom/bRKRniiKmPXrGehEYEhQE3T3c5c6EpHFUchl+OzREFhbyfBPQhbWHbkidSQiIiIiIqNgUYqI9Lafuo4jSTmwtpLh3SHtpY5DZLHaeNjjnf9uMPDRjnNIyiqWOBERERERkeGxKEVEAICC0nJ8uP0sAODF3n5o6mIrcSIiyza+W0t0b+OG0nIdXt8YgwqtTupIREREREQGxaIUEQEAFv5+ARmFZWjlbodJvVtLHYfI4slkAuaPDoGDSoGTV/OwYn+i1JGIiIiIiAyKRSkiQkxyHtb+N7n5nIc7wtpKLnEiIgIAX2cbzBrWAQDw+Z54nE0tkDgREREREZHhsChFZOEqtDq8uyUOogiMCPNFD05uTmRWRnTyxQOBXijXinh9YwzKKrRSRyIiIiIiMggWpYgs3DcHL+Ps9QI42Vjh3Qc5uTmRuREEAR+NCIKbnRLn0wqxaPdFqSMRERERERkEi1JEFiwlT42Ff8QDAN4d0g7u9iqJExFRbdztVfhoRBAAIGr/JRy/nCNxIiIiIiKie8eiFJGFEkUR7/9yGupyLTq3dMHo8GZSRyKi2xjYoQlGdmoKnQi8sSkWxWUVUkciIiIiIronLEoRWajfz6Rjz7kMWMkFfPRIEGQyQepIRHQH7w8LhI+TNa5kl2DeznNSxyEiIiIiuicsShFZoPyScsz85TQAYNJ9bdDWy0HiRERUF47WVpg/OgQAsO7wVeyLz5Q4ERERERHR3WNRisgCfbD9LDIKy9Daww5T+vlJHYeI6qGHnzue7t4SADDtp1jkl5RLG4iIiIiI6C6xKEVkYfaez8DmE9cgCMD8UcGwtpJLHYmI6untQe3Q2t0O6QVleO+/UY9ERERERA0Ni1JEFqSgtBzTt8QBAJ7t0QrhLVwlTkREd8NGKcdnY0Ihlwn4NTYVW09ekzoSEREREVG9sShFZEHmbj+HtIJStHSzxZsPBEgdh4juQWgzZ0zt1xYA8L+tp3E5q1jiRNTY2dvbQxAE2NvbSx2FiIiI7oE5faazKEVkIfbHZ2LD8WQIAvDpqBDYKHnZHlFDN6WfHyJbuaJYo8XUH09CU6GTOhI1Yj4+Ppg1axZ8fHykjkJERET3wJw+01mUIrIAhaXleGfzKQDAU91aIrIVL9sjagzkMgFfPBYKZ1srnLqWjwV/XJA6EjVy5vCNKhEREd07c/lMZ1GKyAJ8tOM8UvNL0czVBtMG8bI9osbE28kGn4wMBgBE7U/EvvhMiRMREREREdUNi1JEjdyes+lYf/QqAOCTkcGwVSokTkREhjawQxM82bUFAOCNjTHIKCyVOBERERER0Z2xKEXUiGUWluHt/y7bm9CzFbq3cZc4EREZy4wH26NdEwdkFWnwxsZY6HSi1JGIiIiIiG6LRSmiRkoURbyz+RSyizVo18QBbw7kZXtEjZm1lRxfjQ2DtZUMBy5mYfHeBKkjERERERHdFotSRI3UD0ev4s/zGVDKZfj8sVBYW/Fue0SNXVsvB3w4vCMAYNGeeBy4yPmliIiIiMh8sShF1AglZhZhzvZzAIBpgwLQromjxImIyFRGRzTDY52bQRSBV36MQWqeWupIRERERES1YlGKyMBsbGwk3X65VofXNsRAXa5F9zZueLZHK0nzEJHpzRrWAR18HJFTrMHkH05AU6GTOhIRERERUQ0sShHVkU6886TBcrkcgYGBkMtNe6ncjdm++vMiYq/lw9FagYWPhkAmE0yahYikZ20lx7Jx4XC0VuDk1Tx8tOOc1JGIiIiIiGrgveGJ6kgmCNgZdx05xZpbLiOKOmRnZ8PNzQ2CYJqar6udEoODvAEABxOy8NV/kxvPfSQI3k7SjtoiIuk0d7PFZ4+GYsLa4/jm4GWEt3DBQyE+UsciIiIiItIz66JUeno65s6di8OHD0OlUmHIkCF4/fXXoVKpkJycjPfeew8xMTHw8fHBu+++i549e0odmRq5nGINMgrLbvm8KOqQllMErdLeZEWpKllFZXhlQwxEERgT0Yy/fBIR+gd64cU+bbDs70t4e/Mp+Hs5IKCJg9SxiIiIiIgAmPHle6IoYurUqVCr1fj++++xaNEi7N27F59//jlEUcTkyZPh7u6OzZs3Y/jw4ZgyZQpSU1Oljk0kCZ1OxGsbYpBZWIa2nvaYNayD1JGIyEy8McAf3du4oUSjxYS1x2472pOIiIiIyJTMtiiVmJiImJgYzJs3D23btkVERASmTp2K7du34/Dhw0hOTsYHH3yANm3aYNKkSQgNDcXmzZuljk0kiWX7LuHAxSxYW8mwZFwn2ChNO6cVEZkvhVyGJY93QjNXGyTnqPHS99Eo13LicyIiIiKSntkWpTw8PLBq1Sq4u7tXe7yoqAixsbEIDAyEra2t/vHw8HDExMSYOCWR9C5nF+Oz3fEAgA+GdYS/Fy/NIaLqXOyU+PqpzrBTynE4MQezt52ROhIRERERkfkWpRwdHdGrVy/9v3U6HdatW4euXbsiMzMTnp6e1ZZ3c3NDWlqaqWMSSUpdrsXG48nQ6kQ8HOqD0RFNpY5ERGbK38sBXzwWBkEA1h2+iu8OX5E6EhERERFZOLOe6PxG8+fPx9mzZ/HTTz/hm2++gVKprPa8UqmERlP/eTK0Wq2hItag0+kgl8uhEysnwDYXVVmM1faq9Rpz30pBLpdDFHW3PZY6naj/KZMZ95iLoog/zqQhX12B1u52mD0sEDqddOdZbce9LvtMGpV5DJHNsMfccLkMr2Y2U57vt2fa/VbXdhv7vfZu9A1wx5sD/DH/j3jM/vUMWrvZoGtrtzq/vrG+v9eFKdpuifuViIiILFuDKErNnz8f3377LRYtWgR/f3+oVCrk5eVVW0aj0cDa2rre646LizNQyppsbGwQGBiI3JxspOUUGW079SXX2ANohQsXLkCtVhttO8bct6ZWdSyzs+t2LDMy0o2e6UymBpezyyEXgK8eD0PK5UtGPZ51VXXc67vPTKmJtQ6AL/Ly8pGWmWeQdRrimBsjl6HcLpspzvfbkWq/3andpnqvra8ujiLua26N/VdL8cJ3x/FRPzf4ONSvO9CY3t/ry5LbTkRERGRoZl+U+vDDD7F+/XrMnz8fAwcOBAB4eXkhISGh2nJZWVk1Lumri6CgIMjlxpkUumrUiourG7RKe6Ns4264OagAAAEBAUZZv1arRVxcnFH3rVTc3G5/LHU6ERkZ6fD09IJMJhgtx+XsYpzJrLxcdXioDzr4OEHrJe05dqvjfqd9JgVnZ4f/fjpBI69/MftGhjzmhsxlaLVlM9X5fjfZjKmu7Tb2e+29WNZRi8dXHUXstXzMP1qMTZO6wt1edcfXNeb39zsxRdurtkFERERkKcy6KLV48WL8+OOP+OyzzzBo0CD94yEhIYiKikJpaal+dFR0dDTCw8PrvQ25XG70jrVMAATBfKbvqspi7HabYt+amiDIbnssqy7lkckEox3zfHU5fj+TAQDo6OuI8BauAIx/POvq5uN+p30mjco8hshm2GNuuFyGVzObKc73ujHtfqtru031Xns37ORyfP10Z4xYehBXc0rw/HcnsP75rrBT1a1b0Bjf3+vKkttOREREZGjm9luP3qVLl7B06VI8//zzCA8PR2Zmpv5PZGQkvL29MX36dFy8eBFRUVE4deoURo0aJXVsIqMq1+rw26nrKKvQoYmjNXr7e0gdiYgaKHd7Fb59NhKudkqcupaPKT+cQIXW3OYyIyIiIqLGzGyLUn/++Se0Wi2WLVuGnj17Vvsjl8uxdOlSZGZmYsSIEfj111+xZMkS+Pj4SB2byGhEUcTe8xnILCqDjZUcQ4KaQCEz2//CRNQAtHK3w9dPRcDaSoa9FzIxY+tpiKIodSwiIiIishBme/nexIkTMXHixFs+36JFC6xbt86EiYikFZeSj3NphRAADO7YBA7WVlJHIqJGIKy5C74a2wmTvjuODceT4e1sjVf7+0sdi4iIiIgsAIdZEDUA13JLsC8+EwDQw88dzVxtJU5ERI3JgEAvfDC8IwDg8z0X8e3By9IGIiIiIiKLwKIUkZnLV5fjt7jr0ImAv6c9OjV3ljoSETVCT3Rtgan9/AAA7/96BhuPJde6nI2NjSljEREREVEjxqIUkRnTVOiwLTYVpeU6eDqo0D/QC4Jw61vQExHVla6WuaNeG+CP53q2AgC8veUUfolJqfa8XC5HYGCgUe8+V1suIiIiImqczHZOKSJLJ4oifj+ThuxiDWyVcgwN9oaVnHVkIjIMmSBgZ9x15BRrqj3eys0WnVu64NjlXLy2IQZHEnPQwccRACCKOmRnZ8PNzQ2CYPj3I1c7JQYHeRt8vURERERknliUIjJThxKzkZhVDLlMwNBgb05sTkQGl1OsQUZhWY3Hu7V2Q2FpBc6nFeLHY1fxUIgPWrrZQRR1SMspglZpb5SiFBERERFZFhaljORieiFe/TEG5TodSsu1UCnk8HBQwdNBBR9nG454odu6kFaIY5dzAQD3t/OEtxPncCEi0xEEAQPae0GrE3ExowjbT13HQ8HeaO7K9yIiIiIiMhwWpYzkSnYJzlwvqPbYxYwiAIBCJqCVux38vRzQ2t0OMhnnCKL/dz1fjd3n0gEA4c1d0N7bUeJERGSJZDIBAzs0QYXuOpKyirEt9joGB3mB9/4kIiIiIkNhUcpI+gd6Yc9rvZBeqMG22BQk56qRWVCG1PxSFJVV4GJGES5mFMHRWoGw5i7o4OPI0VOEvBINtsVeh1YnopW7Hbr7uUkdiYgsmFwm4MEgb+w8fR2XMouxIy4NXXxVaNJE6mRERERE1BiwKGVErdzt4OfliKTMQng5Vl7yIIoiMgrLcDG9CGeu56OgtAL74jMRfSUXPfzcEODlwLurWajSci1+jU2FulwLTwcVBnVoAhnPBSKSmFwmYEhHb/x+Ng3x6UU4fK0MDo6FaO/tJHU0IiIiImrgWJQyMUEQ4OVoDS9Ha3Rp7Ypz1wtw/EouCksr8PuZdMQm56N/e0+42aukjkomVKHTYfup68gtKYe9SoGHQnygVHDkHFFDZquUQyeKjaK4XHUpn0KWjrPXC/HH2QxodUBHXxamiIiIiOjusSglISu5DMFNnRHo7YgTyXk4fjkHaQWlWH8sGd3buCG0mXOj+GWGbk8URfx5LgMpeWoo5TIMD/WBvYr/NYkaOpVCDpkgYGfcdeQUa6SOU01LN1v0aOtRr9fIBAH3t/NAWakal3Ir8Of5DJRV6NCpuTNH+BIRERHRXeFvvmZAIZchsqUrAps4Ys/5dFzJLsGBi1m4nFWMQR2bwFbJw9SYHUnKwfm0QggCMCSoCdw5So6oUckp1iCjsEzqGNW42Crv6nWCIKBTEyWcHOxx4moe/knIQlFZBe5r687CFBERERHVG68PMiP21goMD/HB/e08YSUXkJyrxvqjyUjLL5U6GhnJ6ZR8HEnKAQD0C/BECzc7iRMREd2eIAjo6eeGXn7uAICY5DzsOp2GCp1O4mRERERE1NCwKGVmBEFAR18njIloBhdbKxSVVeCn6Gs4n1YgdTQysMTMIvx1PgMA0LmlC+dmIaIGpVMLFwzs4AWZAMRnFOGXmFSUVWiljkVEREREDQiLUmbKzV6FMZ2boY2HHbSiiN/PpONIUjZEUZQ6GhlAap4aO06nQQQQ6O2Ibq3dpI5ERFRv7Zo4YnioL6zkAq7lqvFT9DUUlpZLHYuIiIiIGggWpcyYSiHHg0HeCG/hAgA4nJiDP89nQMfCVIOWU6zBr7Gp0OpEtHSzxf3tPDkXCxE1WM1dbTEqvClslXJkFWmw4Vgy0gt42TkRERER3RmLUmaucu4Od/QL8IQA4ExqAf44mw6djoWphqiwtBxbT6agrEKHJo7WGBLkDZmMBSkiatg8HawxJqIZ3OyUKNZo8VP0NVzMKJQ6FhERERGZORalGoigpk4Y3LEJZAJwIa0QO8+kQcvCVINSWq7FLzGpKCqrgIutFYaF+MBKzv+CRNQ4ONpYYXREU7Rws0WFTsSOuDQcTcrhZedEREREdEv8jbgBaevlgAeDvCEXBCRkFOG3uOuo0PJuRw2BpkKHn2NSkF2sgZ1SjodDfWGjlEsdi4jIoFQKOYYF+yC0qTMA4FBiNv44m87PKiIiIiKqFYtSDUxrD3sMDfGGXCYgKasY205dRzk7+2atQqvDtlOpSC8og7VChkfCfOFoYyV1LCIio5DJBPQO8EDfAA8IAnA+rRA/neAE6ERERERUE4tSDVBLNzsMD/GBQibgak4JtsWm8ltoM6XVidhxOg3XctVQymUYHuYLN3uV1LGIiIwuuKkzHg71hbVChvSCMqw/mozknBKpYxERERGRGWFRqoFq5mqLh8Mqb8OdnKvGjtOcY8rciKKI3WfTkZRVDLlMwEMh3mjiaC11LCIik2nuaovHIpvDw14FdbkWW2NScOJqLueZIiIiIiIALEo1aL7ONngo2Ed/Kd8fZ9OgY0ffLIiiiL0XMnEhvRAyAXgwyBtNXWyljkVEZHJO/02A3q6JA0QROHAxC7vOpPHScyIiIiJiUaqha+ZqiweDvCETgPj0Iuw9n8FvoCUmiiIOXMxGXEo+AOCBwCZo5W4ncSoiIulYyWV4INALffw99J9XG44nI69EI3U0IiIiIpIQi1KNQCt3Owzs0AQCgNOpBTiQkMXClEREUURsugYx1yoLUve390RAEweJUxERSU8QBIQ0c8aIsKawVcqRXaTBj8eSkZRVLHU0IiIiIpIIi1KNhL+XA+5v7wkAOHk1D0eSciROZHlEUcTBxBzE51QAAPoFeKKjj5PEqYiIzIuviw3GRjaHt5M1yip0+DU2Ff8mZEHHeRGJiIiILA6LUo1IBx8n9Pb3AAAcScpBTHKetIEszOHEHERfyQMA9PZ3R1BTFqSIiGpjr1JgZKemCP7vffL4lVxsPnEN+epyiZMRERERkSk1iKKURqPB0KFDceTIEf1jycnJePrppxEaGoohQ4bgn3/+kTCh+Qht5oyurVwBAPviM3H+eoHEiSzDkaRsHL1cOTot1EuJEBakiIhuSy4T0DfAE0M6NoFSLkNqfikW703A3gsZUkcjIiIiIhMx+6JUWVkZXn/9dVy8eFH/mCiKmDx5Mtzd3bF582YMHz4cU6ZMQWpqqoRJzUdkK1eENnMGAPxxLh2JmUXSBmrERFHEoUvZOJxYWZDq6ecGfzcriVMRETUcbb0cMDayGTwcVCjRaPHMmmP4ZNd5VPDufERERESNnlkXpRISEvDoo4/i6tWr1R4/fPgwkpOT8cEHH6BNmzaYNGkSQkNDsXnzZomSmhdBEHBfW3f97bd3nE7DtdwSqWM1OqIo4p+ELP0IqZ5+7ujU3FnaUEREDZCzrRKPhjdFl/9G+i77+xLGrjyM6/lqiZMRERERkTGZdVHq6NGj6NKlCzZs2FDt8djYWAQGBsLW1lb/WHh4OGJiYkyc0HwJgoD+7b3Q2t0OWp2IbbHXkVFQKnWsRkMUReyLz8SJq3kAgN7+Hghv4SJtKCKiBkwhl2FYiA+WPN4J9ioFjl3OxZAvDuCv8+lSRyMiIiIiIzHrotTjjz+Od999FzY2NtUez8zMhKenZ7XH3NzckJaWZsp4Zk8uEzC4YxP4OttAo9Xh55hU5BZrpI7V4ImiiL/OZyD2Wj4AoF87T/3lkkREdG8eDPbG9pd7ooOPI3JLyvHsN8cx69czKC3XSh2NiIiIiAxMIXWAu6FWq6FUKqs9plQqodHUv+Ci1Rqvk6vT6SCXy6ETAVGUZm4MuQwYGtwEW06mILNQgy0nU/BC71YAjNf2qvUac99KQS6Xo0KrxR9n03A+rQgCgP7tPdHe20F/fKtuaa7TiZDJTHPMq7Yt9f6u7bjL5XKIok6y8//WKvMYIpthj7nhchlezWxSnO+1M+1+q3u7G9bxrNOrjHzMq7I0c7HGpoldMP+PeKw5eAXfHLyMg5ey8PmYEAR4ORh8u3Vhis82qd/HiYiIiEytQRalVCoV8vLyqj2m0WhgbW1d73XFxcUZKFVNNjY2CAwMRG5ONtJypJ1svJu3AnvLylFYVoGvDyRibGQLpF+9BLXaePN1GHPfmpqNjQ1a+QXgm38uISlXAwFAF18VXIRipKUV11g+I8N0l5vINfYAWuHChQtGPZ51VXXcq87/7Gzpz/+bNbHWAfBFXl4+0jLzDLJOQxxzY+QylNtlM+X5Xhup9tud2t1Qj2ddGOuY3/x+NtQX8OnpgsXH8hGfXoSHF/+Lp0IcMbCNDQRBMEqGO2lMn21EREREUmuQRSkvLy8kJCRUeywrK6vGJX11ERQUBLlcbqho1eh0ld/4uri6Qau0N8o26mOUewU2RacgV12Bp9YcxbpnI+FgbfhTQKvVIi4uzqj71tTySjR48usjSMrV/HdZZOV8XTfT6URkZKTD09MLMplpfmFyc1ABAAICAkyyvVu51XF3czOP8/9Gzs4O//10gkZe/2L2jQx5zA2Zy9BqyybF+V7XbMZU13Y3tONZF8Y+5rW9n4WGAsN6leGtn+Kw/2IWVp4sQKJahY9HBMHVTnmLNRmeKT7bqrZBREREZCkaZFEqJCQEUVFRKC0t1Y+Oio6ORnh4eL3XJZfLjV44kQmAIEg/fZejjRIjwnzx04lrOJ1SgEnrTuDbZyNhbWWc9pti35rC9Xw1nlp9FPHpRbC2kmFosA98nW1qXbbqchaZTDDZMa/ajrns65uPuyDIzOL8r64yjyGyGfaYGy6X4dXMJsX5XjvT7re6t7thHc86vcrIx/xW72deTrb45plIfHPwMj7eeR5/ns/Eg1/9i88eDUXPtu4Gz3E7jeWzjYiIiMgcmFsvuU4iIyPh7e2N6dOn4+LFi4iKisKpU6cwatQoqaOZPRc7JZ7u3hL2KgWOJOVg8vcnoKkwt7lOzEdCRhFGLTuE+PQieDmqMLFX61sWpAg1bkpARGQoMpmAZ3u2ws+Te8DP0x4ZhWV44usjmLfjHD/HiIiIiBqoBlmUksvlWLp0KTIzMzFixAj8+uuvWLJkCXx8fKSO1iD4Ottg1VMRUClk+PN8Bl76PhplFZxc9WZHErMxevlBpOSp0drDDptf7A4vR/O6BAcAbJVy6ERR6hiQy+UIDAzkCAIiMqpAH0dsm9IT47o0BwCs2J+IkcsO4lKmec1dR0RERER31mAu37tw4UK1f7do0QLr1q2TKE3D17W1G1Y9FYEJ3x7HnnMZeGndCSx9ohNUChYUAGDj8WTM2BqHcq2IkGbOWPN0Z5POXVIfKoUcMkHAzrjryCmu/x0oDUUUdcjOzoabmxsEQYaWbrbo0dZDsjxE1HjZKOWY+0gQ7vP3wNubTyEuJR9DvjiA6YPbYXy3lpLOcUZEREREdddgilJkeL3aeuDrpzrjuW+P4c/zGXhx3Qkss/DClE4n4pPfz2PFvkQAwIPB3lg4OsRo824ZUk6xBhmFZZJtXxR1SMspglZpD0GQwcXWPIt4RNR4DOzQBMFNnfDWplP4JyELs7adxe5z6Zg/KgQ+vNSaiCQgK82XOoLZk6nzqv2k2+M5RY0di1IWrmdbd31h6i8LL0wVl1Xg1Q0x2H228lbnU+9vi1fvb8tv3ImIzJi3kw3WPhuJdUeu4KMd5/BvQjYGfr4fs4d1wCNhvhAEvocTkfE5OTnBSqkCEvdJHaXBsEnaL3WEBsNKqYKTk5PUMYiMgkUpQs+27lj99P8XpiaujcbyJ8Jho7ScwtTV7BJMWheNc9cLoFTI8OnIYDwc5it1LCIiqgOZTMD4bi3R088dr2+MRUxyHl7fGIs/zqRj7iMd4WavkjoiETVyXl5eWPfdWuTnN+xRLVqtFvHx8fD397e4eULNue1OTk7w8vKSOgaRUbAoRQCAHn7uWP1UZzz77THsi8/EE18fweqnOsPJ1krqaEb3+5k0vLkpFoWlFXC3V2LFkxEIb+EidSwiIqqn1h72+OmFbli+7xI+33MRu86k4fiVHMwbEYwBgezME5FxeXl5NfjCgVarRUlJiVkWZozNkttOJKUGefc9Mo7ufu5Y91wXOForEH0lF4+uOITr+WqpYxlNuVaHub+dxaTvolFYWoFOzZ3x65SeLEgRETVgCrkMU/q1xc+Te8Dfyx5ZRRo8v/Y4Xv3xpKQ3gyAiIiKimliUomoiWrpi4wvd4OmgwoX0Qjy85F+cTmnYw5Brk5ZfirFRh7HyQBIA4LmerbBhUjdOjEtE1Eh09HXCr1N6YtJ9rSETgJ9jUtH/s334NTYVoihKHY+IiIiIwKIU1aJdE0dsfrE7/DztkV5QhkdXHNJP/t0Y7Iy7jiFfHsDxK7lwUCmw/IlOeG9oIKzk/O9ARNSYWFvJMX1Ie2x5qQcCvByQU6zB1PUn8fzaaKQXlEodj4iIiMji8bdwqlUzV1tsfrE7evq5o0SjxcTvjmPR7njodA332+WcYg2m/HACL35/AjnFGrT3dsS2l3tiUEdvqaMREZERhTZzxraXe+LV/m1hJRew51w6+n+2DxuOXeWoKSIiIiIJsShFt+RkY4U1z3TGk11bQBSBL/68iOe+PYa8koY3J8eu02l4YNE+bD91HXKZgCl9/fDz5O5o6W4ndTQiIjIBpUKGV/v7Y/vLvRDS1AmFpRV4e3Mcnvj6CK5kF9dpHVZWjf/mH0RERESmxKIU3ZaVXIYPH+6IBaNDoFLIsPdCJgZ9fgAHE7KkjlYnmYVleOXHk3hhXTSyijRo62mPrS91x5sDA6BS8K4aRETmxFYph87II5cCmjhgy0s9MGNIe6gUMvybkI0HFu3Hl39eRFmF9pavk8vlCOzQwajZiIiIiCyNQuoA1DCMCm+Kdk0cMHX9SSRmFePxVUcwoWcrvP6AP2yV5ncalWt1WHvoCj7fHY/CsgrIBOCF3m3wSv+2LEYREZkplUIOmSBgZ9x1o98pz1Ypx+Q+bfBLbCouZRbjs93x+PbgZQwL8YGfp32N5V1srTAk2Ada7a0LV0RERERUP+ZXTSCz1dHXCdun9sSH289h/dGrWPVPEnadScOchzuiT4Cn1PEAAKIoYtfpNMz/4wISMysvxwhu6oQPh3dESDNnacMREVGd5BRrkFFYZpJtPRjkjfj0Iuy/mInsYg3WHLwMf0979GrrAXvr/+8miaLOJHmIiIiILAmLUlQvtkoF5o0IwoBAT/xv62lcy1Xj6TXH0L+9F94ZHAA/TwdJcomiiL/OZ+DLvxIQm5wHAHC1U2LawAA8GtEMMpkgSS4iIjJvgiAgoIkDWrrb4vClHMRey0N8RhESs4rRuaUrOjV3hoJ3ZyUiIiIyChal6K70a+eF3a+74bPd8fjm4GXsOZeOv86nY3R4Mzzfq6XJcpSWa/HbqetYeSAR59MKAVRekjGhZys8f19rOFhzUloiIrozlUKO3gEeaO/jgL8vZOJ6fikOJWYjLiUfPf3c4d7GReqIRERERI0Oi1J01+xUCrw3NBBjI5vj013n8cfZdGw4noyN0cmI9FFhsn0WerT1hNzAo5REUcT5tEL8fDIFG48nI7ekvDKPUo4nurXAhJ6t4eGgMug2iYjIMng6WGN0eFNczCjCPwlZKCytwK4zaTiTmo8ebT3RwtVG6ohEREREjQaLUnTP/DztETU+AtFXcrHs7wTsOZeBIyllOLLmOHycrPFQqA/6BXiiUwsXWN3lJRDlWh1ikvOwPz4Tu06n4WJGkf45HydrPN6lOZ7s2hJOthwZRURE90YQBPh7OaC1ux1OXM3D8Ss5SM5VY9Gei/j80WCp4xERERE1GixKkcGEt3DBqqc64/z1fCzaHo1DKeVIzS/Fin2JWLEvEQ4qBUKbO6OjrxPaNXFAUxcbeDvZwE6lgEpRWawq0WhRWFqOlDw1ruWocTGjEKeu5eN0Sj6KNf9/xyOlQoa+AR4Y2akp+rXz5HwfRERkcAq5DJGtXBHo44grWUV4sXcbqSMRERERNSosSpHBtfW0x8ROTlj0ZBD+vpiN3WfT8feFDOSWlOPAxSwcuJh1V+t1sbVCz7Ye6OPvgQEdvODI+aKIiMgE7FUK9AnwQKCPI7Ra7Z1fQERERER1wqIUGY3KSo4hQd4YEuQNrU7E2dQCnErJQ9y1fCRmFiM1X420/FJU6MRqr7O2ksHbyQZNXWzQ0s0OQU2dEOTrBH8vB4PPT0VERERERERE0mBRikxCLhMqi0tNnYAu//+4KIqo0Ikoq9BBJ4qwUypYeCIiIiIiIiKyACxKkaQEQYCVXLjrCdCJiIiIiIiIqGFiJYCIiIiIiIiIiEyORSkiIiIiIiIiIjI5FqWIiIiIiIiIiMjkWJQiIiIiIiIiIiKTY1GKiIiIiIiIiIhMjkUpIiIiIiIiIiIyuQZdlCorK8O7776LiIgI9OzZE6tXr5Y6EhERERERERER1YFC6gD34tNPP8Xp06fx7bffIjU1FW+//TZ8fHwwaNAgqaMREREREREREdFtNNiiVElJCTZt2oSVK1eiQ4cO6NChAy5evIjvv/+eRakGTieKkAmC1DGIiIiIiIiIyIgabFHq/PnzqKioQFhYmP6x8PBwLF++HDqdDjJZg74y0aLJBAE7464jp1gjdRS9lm626NHWQ+oYRERERERERI1Ggy1KZWZmwsXFBUqlUv+Yu7s7ysrKkJeXB1dXVwnT0b3KKdYgo7BM6hh6LrbKOy9ERERERERERHXWYItSarW6WkEKgP7fGs2dR9iIoqhfVi6XGz4gAJ1OBwBwtVFABtEo27gbLjZyaLVaaLVao6xfp9PB2toa5eXld7UNuVwOVxs5BNF8Tk9Haxm0Wu0dc+lEQOlmD2d7JWQmugKxrtmM7ea2m0uu2hgymyGPeUPbZ1Kc73XNZkx1bXdDO551Yexjbs77zNlGAa1We9efbXVRtd6qPkp9VL3GWNluXLcxt2GOLLXdANt+409LYantBtj2G39aCkttN2Catte1XyOId9PzMQM7d+7EnDlz8O+//+ofu3TpEoYMGYIjR47A2dn5tq/XaDSIi4szckoiIiKi+gkKCqrxxdudsF9DRERE5uhO/Rrz+hqyHry8vJCbm4uKigooFJXNyMzMhLW1NRwdHe/4eoVCgaCgIMhkMgicVJuIiIgkJooidDqdvl9TH+zXEBERkTmpa7+mwRal2rdvD4VCgZiYGERERAAAoqOj9R2yO5HJZPX+FpKIiIjIHLFfQ0RERA1Rg71FnY2NDR5++GHMmjULp06dwp49e7B69WqMHz9e6mhERERERERERHQHDXZOKaBysvNZs2bhjz/+gL29PZ577jk8/fTTUsciIiIiIiIiIqI7aNBFKSIiIiIiIiIiapga7OV7RERERERERETUcLEoRUREREREREREJseiFBERERERERERmRyLUveorKwM7777LiIiItCzZ0+sXr36lsuePXsWo0ePRkhICEaOHInTp0+bMKlhpaenY+rUqYiMjESvXr0wb948lJWV1brsiy++iICAgGp/9u7da+LEhrN79+4a7Zk6dWqtyx48eBBDhw5FSEgIxo8fj+TkZBOnNZwtW7bUaHdAQADatWtX6/LDhg2rsWx8fLyJU98bjUaDoUOH4siRI/rHkpOT8fTTTyM0NBRDhgzBP//8c9t1bN++Hf3790dISAgmT56MnJwcY8c2iNraHhMTg8ceewxhYWEYOHAgNm3adNt1RERE1DgHiouLjR39ntTW7jlz5tRox7p16265jm+++Qa9evVCWFgY3n33XajValNEv2c3t/2dd96p9f/8re5ym5+fX2PZLl26mLIJ9Xa7zzJL+b9+M/Zr2K9hv4b9mttpqO91ltqvASy3b8N+TQPq14h0Tz744APxoYceEk+fPi3+8ccfYlhYmLhz584ayxUXF4s9evQQP/74YzEhIUH88MMPxe7du4vFxcUSpL43Op1OfPTRR8UJEyaI8fHx4rFjx8QBAwaIH3/8ca3LDxgwQPzll1/EjIwM/Z+ysjITpzacpUuXipMmTarWnvz8/BrLpaSkiKGhoeLXX38txsfHi6+88oo4dOhQUafTSZD63qnV6mptTk1NFQcMGCDOnTu3xrIVFRViUFCQePTo0WqvKS8vlyD53SktLRUnT54s+vv7i4cPHxZFsfLcf+ihh8Q33nhDTEhIEJcvXy6GhISIKSkpta4jNjZWDA4OFrdu3SqeO3dOfOKJJ8SJEyeashl3pba2Z2RkiBEREeLChQvFpKQkcfv27WJQUJC4d+/eWteRlpYm+vv7i1evXq12Dpjz+V9bu0VRFJ9++mlxxYoV1dpRUlJS6zp27dolhoeHi3/99ZcYGxsrDhkyRJw9e7apmnDXamt7QUFBtTafPHlS7Nixo7h79+5a13H8+HExMjKy2muysrJM2Yx6ud1nmaX8X68N+zXs17Bfw35NY3uvs9R+jShabt+G/ZqG1a9hUeoeFBcXi0FBQdX+gy9ZskR84oknaiy7adMmsV+/fvo3Lp1OJw4YMEDcvHmzyfIaSkJCgujv7y9mZmbqH9u2bZvYs2fPGsuWlZWJ7du3FxMTE00Z0ajeeOMNceHChXdc7vPPP692LpSUlIhhYWHVzpeGbPny5WL//v1r7YhfvnxZbNeunVhaWipBsnt38f/au/egqMo/DODPGgmU4SbeUBoSCsVkAZekRh28pZgDo6NmXkgyG2/hjDd0S2eYzGzU0tSxJMmYvJSXQh0bLzSmpKGmshCGrbtyKQ3XBA1hUdj398f+OLHsLlLAYZd9PjP8cc553fm+vOc95/Hds4tOJ+Li4kRsbKzVzezMmTMiPDzc6j9d06dPFxs3brT7OkuWLBFLly6Vtq9fvy569+4tioqKWrYDTeCo77t27RIxMTFWbVesWCEWLlxo93VOnz4tBg4c2OL1NhdH/RZCiMGDB4vMzMxGvc6UKVOszofz588LlUrlMOg5g4b6XteMGTPE4sWLHb7Onj17xKRJk1qqzGbX0L3MHea6Pcw1zDUNYa5hrnHFa5275hoh3DfbMNe4Xq7hx/eaID8/H9XV1YiIiJD2qdVqaLVamM1mq7ZarRZqtRoKhQIAoFAo0L9/f2RnZ8tZcrPo0qULtm3bhs6dO1vtLy8vt2lrMBigUCjw1FNPyVVei9Pr9Xj66acf2k6r1SIyMlLa9vb2xnPPPeeSY15fWVkZPvvsMyxatAjt27e3OX716lX4+fnB09OzFaprunPnziEqKgpff/211X6tVou+ffvisccek/ap1WqHY1r/HPDz80OPHj2g1WpbpO7m4KjvtY8A12dv3gOWc6BXr14tUmNLcNTv8vJylJSUNGrO19TUIDc312rMw8PD8eDBA+Tn5zd3yc3GUd/r+umnn3D+/HksXLjQYZurV6826vfkLBq6l7nDXLeHuYa5piHMNcw1rnitc9dcA7hvtmGucb1c49Eir+omjEYjnnzySaubV+fOnVFVVYWysjJ06tTJqu0zzzxj9e99fX2h0+lkq7e5+Pj4YPDgwdK22WzGjh078MILL9i0NRgM6NChA5KSknDu3Dl0794diYmJiI6OlrPkZiOEwLVr1/Djjz9i69atqKmpQUxMDObPn28TYoxGI7p27Wq1z9fXF3/++aecJbeI3bt3o2vXroiJibF7XK/X49FHH8WsWbPwyy+/oFevXkhKSoLC6A1wAAAMsElEQVRKpZK50v9mypQpdvf/2zG9efOmy50Djvru7+8Pf39/afuvv/7C4cOHkZiYaLe9Xq9HZWUl4uPjce3aNYSEhODtt9922kDnqN96vR4KhQKffvopTp06BaVSiddffx3jxo2zaXv37l1UVVVZjbmHhweUSqVLjnldKSkpGDduHPz8/By20ev1qK6uxoQJE1BSUoLIyEhoNBqbOeAsGrqXucNct4e5xoK5hrmmPuYaC1e81rlrrgHcN9sw11i4Uq7hk1JNUFlZaXPDrt2+f/9+o9rWb+eK1q5di8uXL2PBggU2xwwGA0wmEwYNGoRt27YhOjoac+bMQW5ubitU2nTXr1+XxnLDhg1YunQpDh06hDVr1ti0batjLoTA3r17MW3aNIdtrl27hjt37mDixIlISUlBUFAQpk+fjhs3bshYafP7t2NqMpna5DlgMpmQmJiIzp07Y9KkSXbbGAwG3LlzB3PmzMGWLVvg5eWFhIQEh+9AOqvapyICAwORkpKCiRMnYsWKFTh+/LhNW5PJBABtbsyLi4uRlZWF+Pj4BtsZDAaUl5dDo9Fg/fr1uHnzJmbPno2amhqZKm2auvcyd53rzDUWzDXMNfUx11i0lWtdfe6UawBmG+YaC2ea63xSqgk8PT1tBqZ228vLq1Ft67dzNWvXrkVaWhrWr1+P4OBgm+Nz585FfHw8OnbsCADo06cP8vLysGfPHoSGhspdbpP17NkTZ8+eRceOHaFQKBASEgKz2YwlS5ZAo9HgkUcekdo6GnMfHx+5y25Wubm5KCkpwZgxYxy2WblyJUwmEzp06AAASE5OxsWLF3HgwAHMnj1brlKbnaenJ8rKyqz2NTSPHZ0D3t7eLVVii7t37x7mzp2LgoIC7Nq1y2FfUlNT8eDBAzz++OMAgHXr1iE6OhonTpxAbGysnCU3ydixYzF06FAolUoAlmtYQUEBdu/ejZdeesmqbe3HOtramB89ehQhISE2T8XUd/jwYSgUCmk+bNy4EYMGDYJWq0X//v3lKPU/q38vc9e5zlzDXMNcYx9zzT/t28K1ri53yzUAsw1zjYUzzXU+KdUE3bp1Q2lpKaqrq6V9RqMRXl5eNjfobt264datW1b7bt265bSP/zXGypUrsX37dqxduxajRo2y26Zdu3ZScKsVGBiIkpISOUpsEUqlUvoODQAICgpCVVUV7ty5Y9XO0Zh36dJFljpbSmZmJiIjI23GtS4PDw8puAGQ3o1x5XEH/v08bmvnQHl5Od544w3odDqkpaU1+Dn79u3bS8ENsNzc/P39Xe4cUCgUUmir5ehcViqV8PT0tBrz6upqlJWVueyYA5Y5P3z48Ie28/b2tgo3vr6+UCqVTj/m9u5l7jrXmWuYawDmGnuYaxpu76rngDvmGoDZhrnGwpnmOhelmiAkJAQeHh5WXxB24cIFhIaGol07619tWFgYLl26BCEEAMujwhcvXkRYWJicJTebzZs346uvvsJHH33U4DtLy5Ytg0ajsdqXn5+PwMDAli6xRWRmZiIqKgqVlZXSvl9//RVKpdLquzYAy5hfuHBB2q6srMTly5dddsxr5eTkPPTdgfj4eGzevFnaNpvNuHLlisuOe62wsDDk5eVJjzIDljnvaEzrnwM3btzAjRs3XPIcMJvNeOutt/D777/jyy+/xLPPPuuwrRACI0aMwDfffCPtq6ioQGFhocudAx9//DESEhKs9jm6hrVr1w6hoaFWY56dnQ0PDw/06dOnpUttEUII5ObmPnTOl5eX4/nnn0dWVpa0r6SkBKWlpU495o7uZe4615lrmGsA5hp7mGv+ad8WrnWA++YawL2zDXONc851Lko1gbe3N8aOHYvk5GTk5OQgIyMDn3/+OV577TUAlncXawc+JiYGd+/exapVq3D16lWsWrUKlZWVGD16dGt24T/R6/XYsmUL3nzzTajVahiNRukHsO73sGHDcOjQIaSnp6OwsBCbN2/GhQsXGvzcvjOLiIiAp6cnli9fDoPBgJMnT2LNmjWYOXMmampqYDQapUcdx48fj4sXLyIlJQU6nQ4ajQb+/v6Iiopq5V40jU6ns3nctX7fhw0bhi+++ALff/89DAYD3n33Xfz99992v0DRlQwYMAB+fn7QaDTQ6XRISUlBTk4OJkyYAMDyWKvRaJQ+az558mQcOHAAe/fuRX5+PpKSkjBkyBCX/KtN+/btw9mzZ/Hee+/Bx8dHmvO1jwLX7btCocCQIUOwadMmnD17FjqdDklJSejevbvLfRnw0KFDcf78eaSmpqKoqAi7du1Ceno6ZsyYAcDymfvaax9g+XLN1NRUZGRkICcnB8nJyXjllVdc9hH3P/74A/fu3bP7iHvdvnfo0AFqtRqrV69GTk4O8vLysGDBAgwePBi9e/eWu+xGaehe5q5znbmGuYa5xoK5pm1f6wD3zTWAe2cb5honneuCmqSiokIkJSWJ8PBwMWjQILF9+3bpWHBwsNi/f7+0rdVqxdixY0VoaKiYMGGCyMvLa4WKm27r1q0iODjY7o8Qtv3es2ePGDlypOjXr58YN26cOHfuXGuV3ix+++03kZCQIMLDw8XAgQPFpk2bhNlsFsXFxSI4OFhkZWVJbX/44QcxcuRIoVKpxPTp00VRUVErVt48QkNDxalTp6z21e+72WwWn3zyiRgyZIjo16+fmDp1qrhy5UprlNtk9ce0oKBATJ06VfTr10+MGTNGnD59WjqWlZUlgoODRXFxsbRv//79Ijo6WoSHh4t58+aJ27dvy1p/U9Tt+4wZM+zO+WnTpgkhbPtuMpnE6tWrxcCBA0VYWJiYNWuWuH79eqv15d+oP+bHjx8XsbGxIjQ0VMTExIijR49Kx/bv3y9d+2pt3bpVvPjii0KtVguNRiNMJpNstTdV/b5nZ2eL4OBgUVVVZdO2ft/LysrEsmXLRFRUlIiIiBCLFy8WZWVlstT9XzzsXuZOc70u5hrmGuYa5ppabe1a5665Rgj3zTbMNa6RaxRC/P+5ayIiIiIiIiIiIpnw43tERERERERERCQ7LkoREREREREREZHsuChFRERERERERESy46IUERERERERERHJjotSREREREREREQkOy5KERERERERERGR7LgoRUREREREREREsuOiFBERERERERERyY6LUkREjVRRUYENGzYgJiYGKpUKUVFRmD9/PnQ6ndQmMzMTcXFxUKlUiIuLw8mTJ1uxYiIiIiL7mGuIyBkohBCitYsgInJ29+7dw5QpU1BRUYFly5ahT58+KC0txc6dO3Hs2DGkp6fDbDYjLi4OCxYswPDhw5GRkYEPP/wQR44cgb+/f2t3gYiIiAgAcw0ROQ8uShERNcKaNWtw8OBBfPfdd/Dx8bE6lpCQgKCgIIwcORIZGRl45513pGMDBgxAcnIyXn75ZblLJiIiIrKLuYaInIVHaxdAROTszGYzvv32W8ycOdMmuAGWYOfj4wMvLy9ERUUBAB48eID09HTcv38fKpVK7pKJiIiI7GKuISJnwkUpIqKHKCoqwu3btxEZGWn3eNeuXa22CwsLMXr0aNTU1GDRokV8xJ2IiIicBnMNETkTLkoRET1EaWkpAKBjx47SvjNnzmDevHnSdo8ePXD48GEAQKdOnbBv3z5cunQJH3zwAQICAjBq1Ch5iyYiIiKyg7mGiJwJF6WIiB6i9tH2u3fvSvsiIiKQnp4OADh27Bh2794tHXviiSfQt29f9O3bF3q9Hjt27GB4IyIiIqfAXENEzqRdaxdAROTsAgICoFQqcenSJWmft7c3AgICEBAQAF9fXwCATqfDzz//bPVvg4KCpHckiYiIiFobcw0RORMuShERPYSHhwfGjx+PtLQ0lJeX2xwvKSkBAJw4cQLLly9H3T9qmpeXh8DAQNlqJSIiImoIcw0RORMuShERNUJiYiK6dOmCV199FUeOHEFxcTFycnKwYsUKbNy4EWq1GnFxcTAajVi3bh0KCgqwc+dOHDx4ELNmzWrt8omIiIgkzDVE5CwUou7SNxEROXT//n2kpaXh0KFDKCwsRPv27aFSqTB58mSMGDECAJCdnY33338fV65cQc+ePbFo0SIMHz68lSsnIiIissZcQ0TOgItSREREREREREQkO358j4iIiIiIiIiIZMdFKSIiIiIiIiIikh0XpYiIiIiIiIiISHZclCIiIiIiIiIiItlxUYqIiIiIiIiIiGTHRSkiIiIiIiIiIpIdF6WIiIiIiIiIiEh2XJQiIiIiIiIiIiLZcVGKiIiIiIiIiIhkx0UpIiIiIiIiIiKSHReliIiIiIiIiIhIdlyUIiIiIiIiIiIi2f0PjHPXptN0saEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x2400 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Setting the aesthetic style of the plots\n",
    "sns.set_style(\"whitegrid\")\n",
    "\n",
    "# Defining a function to create histograms and boxplots for specified columns\n",
    "def plot_histograms_boxplots(data, columns, dataset_name):\n",
    "    fig, axes = plt.subplots(len(columns), 2, figsize=(12, 4 * len(columns)))\n",
    "    for i, col in enumerate(columns):\n",
    "        # Histogram\n",
    "        sns.histplot(data[col], kde=True, ax=axes[i, 0])\n",
    "        axes[i, 0].set_title(f'Histogram of {col} in {dataset_name}')\n",
    "        # Boxplot\n",
    "        sns.boxplot(x=data[col], ax=axes[i, 1])\n",
    "        axes[i, 1].set_title(f'Boxplot of {col} in {dataset_name}')\n",
    "    plt.tight_layout()\n",
    "\n",
    "# Columns of interest for both datasets\n",
    "columns_of_interest = ['age', 'studytime', 'failures', 'G1', 'G2', 'G3']\n",
    "\n",
    "# Plotting for Mathematics dataset\n",
    "plot_histograms_boxplots(mat_data, columns_of_interest, 'Mathematics')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The visualizations help us better understand the distributions. We discover a few relevant conclusions. \n",
    "1. Most students are between 15-18 years old, with a few older students. \n",
    "2. A large number of students study for 1-2 hours per week. \n",
    "3. Most students have no failures, with a few having one or more. \n",
    "4. The grades are normally distributed, with some outliers, particularly in G2 and G3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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qVfTRPZE1FOjtpksZZi3eEqsTSanODgvXYdLPB2SxSj2ahKhlzQrODqdEcTUZ9eyNOaOlPlkbzehAAAAAAChHKEqVQAFebrqjVXVVC/BUptmi77af1KEzF50dFopgV+wF/bArTgZDzlpSyK9/RDXVreitc6lZmvvXMWeHAwAAAABwEIpSJZSHq0n9I6qqYSUfWazSqt1xOhRPYaq0Gbd6vySpf4tqalTZ18nRlEwmo0HP92goSZr1xxGdT810ckQAAAAAAEegKFWCuRiNurlZZTWp7CurVVq1J04HKUyVGuujz+rPQ4ly+VfRBZd3S1gVNa7sq4sZ2Zr15xFnhwMAAAAAcACKUiWc0WBQj9AQhVbxk9Uqrd4Tp6OJl5wdFq7BarXaRkndE1lTNYO8nBxRyWY0GvRCz5zC3dy/jikxhQX+AQAAAKCsoyhVChgNBvVoUkmNK/vKYpW+33VaJ8+lOTssXMWafWe07cR5ebga9Uz3+s4Op1ToGRqi5tX9lZpp1se/Rzs7HAAAAABAMaMoVUoYDAb1aBKiOsHeMlusWr7jFKNJSiizxaoJqw9Ikh7uUEeV/DycHFHpYDAY9OJNOYvBf7HhuOIupDs5IgAAAABAcaIoVYqYjAb1aVbZdle+5TtO6VJGtrPDwn8s33FSB+Ivys/DRU92rufscEqVzg2C1aZ2BWVkWxT122FnhwMAAAAAKEYUpUoZF5NRfZtXUYCnqy6mZ2vlztPKNlucHRb+T2a2RZN+PihJeqJLPfl7uTo5otLl36Olvv7nhGKSUp0cEQAAAACguFCUKoU8XE3q16Kq3F2MiktO18/74mW1Wp0dFiQt/OeEYpLSFOzjroc71HZ2OKVSu7pB6lg/WFlmq6b+esjZ4QAAAAAAiglFqVKqgpebbgmrIqNBOhifok1Hk5wdUrmXmpmtKb/mTDkbfmN9ebm5ODmi0uuFm3LuxLdk60kdSUhxcjQAAAAAgOJAUaoUqxHopW6NKkmSNhxN0oG4i06OqHz77O9jSriYoRqBnrq7TU1nh1OqtaxZQTc2riSzxaqPfmG0FAAAAACURRSlSrlm1fwVUTNAkvTzvnjFJ3PHMme4kJqlj3+PliQ936Oh3Fz41bpez/fMGS21fMcpCq4AAAAAUAbxl3MZ0LF+sOoEe8tsser7XaeVlmV2dkjlzid/RCs5PVsNQ3x0W4tqzg6nTGhWzV99wirLapUm/9/i8QAAAACAsoOiVBlgNBh0c2iI/P/vjnyrd8fJwsLnDhOfnK65fx2TJL18c2OZjAbnBlSGPN+joQwG6cc9cdoVe8HZ4QAAAAAA7IiiVBnh7mrSLWFV5GI06HhSqjay8LnDfLjmoNKyzGpZM0A9mlRydjhlSoMQX/X/v5Fnk34+4ORoAAAAAAD2RFGqDKno667ujXOKIpuOJulo4iUnR1T2HT5zUQv/iZEkvdaniQwGRknZ27M3NpDJaNBvBxK4yyQAAAAAlCEUpcqYJlX8FFbNX5K0ek+cLqRlOTmisu2DVQdksUo3hYaode1AZ4dTJtUO9tadrWtIksas2icrU1MBAAAAoEygKFUGdW4YrBA/d2VkW/T9rtPKNlucHVKZtOloktbsi5fJaNCIXo2dHU6Z9nyPBvJ0NWnbifNavSfO2eEAAAAAAOyAolQZ5GI06pawKvJ0NSnhYobWHkxwdkhljtVq1ZhV+yRJd7WpofqVfJwcUdlWyc9Dj3WqI0ka9+MBZVFoBQAAAIBSj6JUGeXr4apezSpLknafSta+08lOjqhs+XF3nLadOC9PV5Oeu7GBs8MpF4Z0rqtAbzcdSbxkW8cLAAAAAFB6UZQqw2oGeqltnZx1jn7df0ZnUzKcHFHZkGW2aNzqnDvBPd65rir5eTg5ovLB18NVw7vXlyR9uOaQLmVkOzkiAAAAAMD1oChVxkXWCVSNQE9lW6z6YVecMrOZ9nS9vt50QkcTLynYx01DOtd1djjlyr1ta6lWkJcSUzI0688jzg4HAAAAAHAdSnRR6ueff1ajRo3y/AwfPlyStHfvXt1xxx0KDw/XwIEDtXv3bidHWzIZDQb1alpZ3u4mJaVm6tf9Z7h72XW4mJ6lj345JEl69sYG8nF3cXJE5Yubi1Ev3dRIkjTzjyNKuMjoPwAAAAAorUp0Uerw4cPq1q2b1q1bZ/sZPXq0UlNTNWTIELVu3VpLly5VRESEnnjiCaWmpjo75BLJy81FvZtVkcEgHYi/qH+OnXN2SKXWR2sOKTElU3WDvXV3ZE1nh1Mu3RJWRc2r+ys106wp/1cgBAAAAACUPiW6KBUdHa2GDRuqYsWKth8/Pz/98MMPcnd314gRI1SvXj29/vrr8vb21o8//ujskEusagGe6lAvWJK0ctdp7T55wckRlT6Hz1zUZ38fkyS9eWuoXE0l+tenzDIaDXq1d2NJ0oJNJ3T4TIqTIwIAAAAAFEWJ/qs6OjpatWvXzrd9x44datWqlQwGgyTJYDCoZcuW2r59u2MDLGVa1gxQnWBvmS1WDf1yqy6kZTk7pFLDarVq1PK9yrZY1aNJiLo2quTskMq19vWCdWPjSsq2WPXOyr1MSQUAAACAUqjEFqWsVquOHj2qdevW6eabb1aPHj00YcIEZWZmKiEhQZUq5S0KBAUFKS4uzknRlg4Gg0E3hYaogperTiSl6uVFO/hjvoBW74nTusOJcnMx6s2+oc4OB5Le6BsqN5NRfxxM0C/7zjg7HAAAAABAIZXYVZpPnTqltLQ0ubm56cMPP1RsbKxGjx6t9PR02/Z/c3NzU2ZmZqHPYzab7RVyPhaLRSaTSRarZLWWjLveubsYdHfr6prz13H9tDdes/88okc61HZ2WNeU+z4V5/t1JWmZZr2zcq8kaUinOqoW4O6UOK7GZDLJarUUuJ9ZLFbbf43G4umbubEUV1vVrOChRzrU0sd/HNU7K/eofd0Kcnc1Fcu5rsaZfdPRCtvPiqIofbO4+1ppVZ76piM4oj15rwAAQHlTYotS1apV08aNG+Xv7y+DwaAmTZrIYrHo5ZdfVmRkZL4CVGZmpjw8PAp9nl27dtkr5Hw8PT0VGhqqc0lnFZdUcta9qRboozf6NtGb3+3RB6v2yyvtjBoHu137iSVAcb5fV/L1nos6dT5dwV5GtQ9IKXHTRHP72dmzhe9nZ87EF1NUkinTR1IdHThwQGlpacVyjo5BFn3jYdSJpDSNXrxeA5v4FMt5CsIZfdORrqefFUVh+qYj+lppVtb7pqPRngAAAPZTYotSkhQQEJDncb169ZSRkaGKFSsqMTExz77ExMR8U/oKIiwsTCZT8YyusFhyvr2vEBgks5vz/lj+ryBfd93XrpY2Hjmr73fFaerWVK0Y1kKB3iW3MGU2m7Vr165ifb8uJyYpVd99u06SNOq25mrbrLLDzl1YQUEF72cWi1VnzsSrUqUQGY2G4onH112S1KhRo2J5/VxvuJzSC4t26tsDaRrap7Wq+Be+OH09nNU3naUw/awoitI3HdXXSpvy1jeLmyPaM/ccAAAA5UWJLUr9+eefeumll/T777/L09NTkrRv3z4FBASoVatWmjVrlqxWqwwGg6xWq7Zu3aonn3yy0OcxmUzFnqwbDZLBUHKW7zIYjDIYDBo7KFz7Tl/UkcRLenHxLn32UJtiK1DYiyPer397f9UBZWZb1L5ekG5pXtW2uH5JlPO+Fqyf5U6LMhoNxdY3c1+3uN+v21tW11ebYrT5+DmNW31QU+6JKNbzXYmj+6azFKafFUVR+qaj+lppVV76pqPQngAAAPZTciol/xERESF3d3e98cYbOnLkiNauXatx48bpscceU69evZScnKz33ntPhw8f1nvvvae0tDT17t3b2WGXKj7uLpp+f0t5uOYsFh3122Fnh1SirNkbr5/2xsvFaNDb/ZqW6IJUeWYwGDSqX1MZDNLyHae06WiSs0MCAAAAABRAiS1K+fj4aM6cOUpKStLAgQP1+uuv66677tJjjz0mHx8fffLJJ9qyZYsGDBigHTt2aObMmfLy8nJ22KVO48p+eve2ZpKkyWsO6u/Didd4RvlwMT1LbyzbLUl6tGMdNQjxdXJEuJpm1fx1T2RNSdJby/co21wybiwAAAAAALiyEjt9T5IaNGiguXPnXnZf8+bN9e233zo4orLpjtY1tOlokhZtidXwr7frh+EdVcnPsevylDTjfjyguOR01Qry0nM9Gjo7HBTASzc10vc7T2vf6WR9vv64Hu1Yx9khAQAAAACuosSOlIJjvXNbMzWu7KvElAw9/dU2ZWaX35Emm48l6YsNxyVJY24Pk6cba4eUBoHebnq1d2NJ0sSfDij2XKqTIwIAAAAAXA1FKUiSPN1Mmn5fS/m4u2jTsSS9tXyPrFars8NyuNTMbL28eKck6c7W1dW+frCTI0Jh3NW6hiJrByo106w3lu0ul30YAAAAAEoLilKwqVvRRx/d3UIGg7Rg0wnNW3/c2SE53Aer9uto4iVV9vPQ631CnR0OCsloNOj9AWFyMxn1+4EErdh52tkhAQAAAACugKIU8rixSYhe7ZUzBeqdlXv156EEJ0fkOH8eSrAV4sbf0Vz+Xq5OjghFUb+Sj4Z1qy9JGrV8jxJTMpwcES7HarXqUka2Tp1PU3RCinafvKDtMee17cR5HTibpd0nk3Uw/qJiklJ1IS1LZguj3gAAAICypkQvdA7nGNK5rg7EX9TSrSc17MutWjasg+pW9HF2WMXqfGqmRvzftL3BN9RSpwYVnRwRrsdTXevpxz1x2nc6Wa8t3aVPHmglg8Hg7LDKteS0LMWeT1P8hXTFX0xX0qVMZZmvUmiKz1sQNxikQC83Bfu6K8TXXdUreCnYx433FQAAACjFKEohH4PBoPdvD9OxxEvaeuK8Hvt8s74d2qHMjhyyWq16efFOnb6QrjrB3rbFslF6ubkYNfGOcN0WtU4/7Y3Xsu0ndXtEdWeHVa5YrFadPp+uw2dSdCzpks6nZuU7xiDJ18NFXm4u8nQzydVokMEgpaWlyeTmrsxsq1Izs5Wcni2zxaqzlzJ19lKmDsRdlCR5uBpVO8hbLWsGKDUzW15ufKQBAAAApQkZPC7Lw9Wkjx9opf7T/tKRxEt6esFWffpQG7mayt6Mz8/+Pqaf98bLzWTU1Hsi+MO2jAit6qfh3Rto4s8H9dZ3e9SubpCq+Hs6O6wy72xKhvacTtaBuItKzTTbthsMUmU/D1Xx91CIn4eCfdzl7+kqkzHvSCer1aK4uDhVrlxZBoPx/7ZZlZKRrcSUTCVczNCpC2k6dT5N6VkW7Y+7qP1xF/XttlPq1ayyBrasrvb1gmQ0MoIKAAAAKOn46xtXVMnXQ7MebK1BM9brz0OJemXJTk28I7xMTZfZFXtB7/+wT5L0Wp/GalbN38kRwZ6e6lpPa/bFa0fsBT339XZ99Xi7fEUQXD+zxapDZy5qR8wFxSWn27a7uRhVr6K36gb7qEagp9xdTEV6fYPBIF8PV/l6uKpOsLftnHEX0nUkMUXHEi8pKTVL3247qW+3nVSdYG890rGOBrasRpEZAAAAKMHI1nFVTav6a/p9LfXYvM1auvWkqvh76OWby8b0trMpGXpy/hZlma26KTRED7av7eyQYGcuJqM+vDtCt0z5UxuPJmnG74f1dPcGzg6rzMjMtmjnyfPafuK8Lv3fqCijQaoT7K3QKn6qFeRdbEVAk9GgahU8Va2CpwZEVFNoNX8t3Rqr77af0tHES/rfst2asPqA7mtbUw+2r60QP49iiQPli6tr2ZzGDgAA4Cxlby4W7K5b40oaMyBMkhT1W7Q+XXfUyRFdvyyzRcO+2qqT59NUO8hL4weVrRFg+P/qBHvrnduaSZImrzmkLcfPOTmi0i8j26xNx5I09++j+uvwWV3KNMvbzaR2dQP1SIc66tu8qupW9HHYqDSDwaCWNStodP8wbRh5o97u11S1grx0IS1L03+PVsexv2rk0p06dT7NIfHg+lisJfNOiyaTSaFNmzo7DAAAgDKFkVIokDtb19CZ5HRN+Omg3lm5V15uJt0dWdPZYRXZ6JV7teFIkrzdTJo1uHWZXcQdOQa2rKY/DyXou+2n9MxXW7XimY4K8nF3dlilTnJ6ln7df0brDicqI9siSQrwdFWbOoFqFOJbIqZGeru76MH2tXV/u1pasy9ec9Yd1aajSVqwKUZLtp7UA+1qaWjXerz/JZjRYNCqXaeVdCnT2aHkUcHLVX2aV5XZbL72wQAAACgQilIosGHd6is5PVsz/ziikd/ukoerSf0jqjk7rEKb+9dRfb7+uCRp8l0t1CDE18kRobgZDAaN7t9Mu2Iv6EjiJQ3/epvmPdK2RBRRSgOzxapFm2M0fvUBnf2/QkEFL1dF1glUwxBfGUvgKEOT0aCbm1bWzU0ra8vxJI378YA2Hk3SnHVH9fWmE3q0U1093qmOfD0oSJdESZcydeZihrPDyMNqtTg7hBLDmH7B2SEAeRgyU5wdAgCgiChKocAMBoNG9m6stEyzvthwXC98s11WWXV7RHVnh1ZgK3ee0jsr90qSXr65kW5qWtnJEcFRfD1c9fEDrXTbtL/01+GzmvDTAb3Sq2ysj1ac/jmWpLdX7NHuk8mSpGAfN7WpHaj6lXxKZDHqclrVCtTXQ9rpj0OJGr96v3afTNaUXw7pq40nNKJXIw1qWZ279QEF4O/vLxdXV3keWevsUIB8DEajqlcvPTkpACAHRSkUisFg0Nv9mioz26KFm2P0wjc7lJ5l0T2lYCrf39GJemHhDlmt0uAbcqbwoHxpGOKrcYOa65kF2zTj92iFVvHTreFVnR1WiXTyfJrG/LBPK3eeliT5erjouR4N5Wo02EZLlSYGg0FdGlZU5wbBWrU7TuNXH9DRxEsasXinvtxwXG/1a6qWNSs4O0ygRAsJCdGrr7yiatWqyWQq2t00kcNsNuvgwYNq2LAhbWkHZrNZJ0+eVOPGfNkEAKUNRSkUmtFo0JgBYXJzMeqLDcc1cukupaRn67FOdUrsYuEbjpzVo59tVqbZot7NKuutW5uW2FhRvG4Nr6qdsec168+jenHRDlUN8FCrWoHODqvESMs06+O10frkj2ilZ1lkMEj3RNbUiz0bKsjHXV9uOO7sEK+LwWBQn7Aq6tEkRJ/9fVRTfjmsHbEXNGD63xoQUU2v9G7MnfqAq6hQoQKFFDswm81KTU2lLe0ktz0BAKUPd99DkRiNBr1zW1M93qmOJOm9H/bp7RV7ZbaUvLsm/R2dqIfn/qO0LLM6N6yoyXe1YC2hcu7V3k3Uo0mIMrMtenzeFp04SyJrtVq1fMcp3Tjxd330yyGlZ1kUWSdQK5/pqPdvDytzC4O7uRg1pHM9/fpSF93RKme6x9JtJ3XjxLWa/ecRZZlZPwgAAAAobhSlUGQGg0Gv9Wmi1/s0kSR99vcxPTV/i1Iysp0c2f+3Zm+8HvkspyDVpWFFzXyglTxc+UayvDMZDZpyTws1q+anpEuZenDuJiWUsEWVHWlX7AXd8fF6DV+wTacupKtagKem39dSC4e0U9Oq/s4Or1hV8vXQ+DvC9d2wDmpRI0ApGdka/f0+9Z2yThuPnHV2eAAAAECZRlEK18VgMOjxznU19Z4IuZmM+mlvvPpH/aXoBOffBeXzv49pyBeblZ5lUffGlfQJBSn8i5ebi+Y82EbVAjx1NPGSHpizUedTS99aSdcj4WKGXlm8U/2i1mnz8XPydDXpxZ4N9cuLXdQnrEq5muIaXiNAS59qr7EDw1TBy1UH4i/qrpkb9PzC7TpzMd3Z4QEAAABlEkUp2MWt4VW1YEg7hfi56/CZFN027S8t33HKKbFkZJv15ne79dbyPbJYpXsia1CQwmWF+Hnoy8faqqKvu/bHXdRDc//RxfQsZ4dV7DKzLZr5R7S6T/hdCzfHyGqVbmtRVb++1EXP3Nig3P6uGI0G3dWmpn57qavua1tTBoP07baTunHCWs3966iymdIHAAAA2BVFKdhNq1oVtOKZjoqsE6iUjGwNX7BNw77aqnMOvFPX0cRLGjD9b81bn7MY84hejfT+7WFyNdHVcXm1g701/9G2CvBy1faY87p/dtkdMWW1WvXLvnjd/OEfev+H/bqYka2wav5a/OQN+ujuCFXx93R2iCVCgJeb3rs9TMuGdlDz6v66mJGtt1fs1a3T/tLmY0nODg8AAAAoM/hLHXZVyTdn5MlzPRrIZDTo+52n1XPyWi3aHCNLMS6Cnm22aM66o+o75U/tOZWsQG83zX24jYZ2rV+upiChaBpV9tX8R9uqgperdsRe0N0zN5S5NaYOn7moB+f+o0c/36yjiZcU7OOucYOa67thHdS6NncfvJzwGgH6dmgHvX97mPw9XbXvdLIGfbxeLy3aocSUstU/AAAAAGegKAW7czUZ9VyPhvp2aHvVr+SjxJRMvbx4p26f8bf+jk6U1Wrf4tTGI2fVb9pfenflXl3KNKttnUD9MLyTujWqZNfzoGxrVs1fC5+4wTaVb9DHf+vwGeevjXa9ElMy9L9lu3Xzh3/qj4MJcjUZ9ESXuvrtpS66s3UNGbkT5VWZjAbd2zZnSt/dbWpIkhZviVX3Cb9r3vpjJfKOowAAAEBpQVEKxaZ59QD9MLyTXuvTWD7uLtoRc173ztqoATP+1o+745SZXfT1WSwWq/48lKA7P1mvu2Zu0N7TyfL3dNX7t4dpwePtVNnfw45XgvKiYYivFj1xg2oEeur42VTdPv0vrTuU6OywiiQt06xpvx5S1/G/64sNx2W2WNWjSSX99HwXjezdRL4ers4OsVQJ9HbTBwOba+nQ9mpWzU/J6dl687s96jdtnbaeOOfs8AAAAIBSycXZAaBsc3MxakjneuofUU3Tfj2sr/+J0bYT5/Xk/C2q4OWqW8Or6sYmIWpdq4K83a/eHbMtVu2MvaA1+89o2bZTOnk+TZLkajLojtY19ELPhgr2cXfEZaEMqx3srWVDO+iJL7Zo8/FzenDuJr18cyMN6VS3VIwqyjZbtHTbSU366aDiknPuGhdWzV8j+zRW+3rBTo6u9GtZs4K+G9ZRX208rvGrD2jPqWQNmP637mpdQyN6NVIQ/wYBAAAABUZRCg5RyddD79zWTE93r6+5fx3T4i2xSriYoXnrj2ve+uMyGQ1qXNlXtYK8VL2ClzxdTTIZDUrPMisuOV2xSanaEXNeGeZ422v6urtoYKvqeqJLXRZohl0F+bjry8fbauTSXVq69aQ+WLVff0ef1cQ7wlXRt2QWHbLMFn277aSifjus42dTJUnVK3jq5Zsb6dbmVUtFQa20MBkNeuCG2uodVkVjV+3Xoi2xWrg5Rj/uidPLNzfSPZE1ZaK9AQAAgGuiKAWHquTroVd6NdaLPRtq3eFErdx5WhuOnFXsuTTtOZWsPaeSr/p8f09XtasbqH7h1XRjk0rl9tb1KH7uLiZNvCNckbUDNWrFHv1xMEE3TV6rN24J1YCW1UrMAvoZ2WYt3hKrGb9HK/ZczujBQG83PdWlnga3ryV3F35Hikuwj7vG3xGuuyNr6I1le7TvdLLeWLZb32yO0bu3NVN4jQBnhwgAAACUaBSl4BQuJqO6Nqqkrv+3GHnsuVTtO31RJ5JSdfJcmjKyzbJYrXIzGVXZ31Mhvm4yXDipvp1ay9WVbgvHMBgMujuyplrWqqDhC7Zpf9xFvbhoh77ddlJv9G2ixpX9nBbbmYvpWrQ5VvM3HNfpCznT9IJ93PVE57q6r11Nebnxe+IorWoFasXTHTR/w3FN/OmgdsZeUP/pf+nuNjU14uZGquDt5uwQAQAAgBKJv1pQIlSvkDNt70rMZrO2bz/DFCQ4RcMQX614pqNm/XlEH605pHWHE9X7oz91e4tqeqZ7PYfFYbVatf7IWX258YRW745T9v/d+S3Ez11PdK6neyJrytONkVHO4GIy6qEOdXRL86oas2qflm49qQWbTmjlzlN6onNdPdyhzjXXzQMAAADKGzJkACgAV5NRQ7vWV59mVTRu9X79sCtOS7ed1LLtJ9W6iruG+51V+3oVi6VwevjMRX2/M07f7TipIwmXbNsjagbo/ra1dEvzKkxlLSEq+rpr0p0tdHebmnprec6Uvgk/HdTcv45paLf6uq9tTd6rEshssSo1M1vpWRZlmi3KyrYoy5zz/9lmq6ySfN1N6hFaRRV9uHMlAACAvVCUAoBCqB3sren3tdKOmPOa9PNBrT2YoE2nMnT/nH9U1d9DfcKqqGdoiMJrBBS5+HAhNUtbTiTpz0OJ+uNggqL/VYjycjOpf0Q13de2pppW9bfXZcHOIusE6vtnOmrFzlOa/PNBHTubqndX7tXsP49oWLf6GtSqOsUpB7FarUrLMutCWlaen4vp2UrNNCs1I1vp2ZYCvZbJZNSkO5oXc8QAAADlB0UpACiC8BoB+vyRSO0/fUGTV27RX7GZOnUhXbPXHdXsdUfl5mJUixoBalzZV/Uq+qh6BU9V8HaTv6erDJKsktIyzUq6lKnElAwdO5uqIwkp2nsqWUcSL+U5l6vJoI71g9UnrIp6NassXw9GapQGRqNBt7Wopj5hVbRkS6w++uWQTl9I1xvLduvDNYf0cIfaur9tLfl78X7aS0a2WWdTMnU2JVOJlzJy/puSoYwCFJ2MBsnD1SQ3k1FuLka5moxyNRnkYjTKaJC83E16qH3t4r8IAACAcoSiFABchwaVfDSkpb8mPxCmddFJ+mHXaa07fFaJKRnadDRJm44mFel1awd56YZ6werSMFg31AuWvyeFi9LK1WTU3ZE11T+imhZsOqFZfxzRqQvpGr/6gKb/dlj3RNbUIx3rqGqAp7NDLVXSMs2KT05XXHK6zlzMUGJKhi6mZ1/xeB93F/l7utp+/Dxc5OXuIm83k7zcXeThYrzqXTUr+rgqomYFmc3m4rgcAACAcomiFADYgburSTc1raybmlaW1WrVkcRL2nr8nKITLunwmRTFJ6frXGqmktOyZJVkUM6ojEBvNwV6u6lWkJfqBHurQYivWlQP4I5tZZCHq0kPd6ij+9vV0sqdp/TJ2iPaH3dRs9cd1ad/HVW3RpV0T2RNdW1UUS4mo7PDLVGyzBaduZih+OR0xV/IKUQlX6EA5ePuoiAfNwV7u+f818ddFbxcaVMAAIASiKIUANiZwWBQvYo+qlfRx9mhoARyNRl1e0R19W9RTb8fTNDMtUe0/shZ/bL/jH7Zf0Yhfu66q3UN3dG6hmoEXvmupGVVttmi0xfStO/0RcUlpys+OV1nUzJlvcyxFbxcFeLnoRA/D1X0ySlCsVYXAABA6UFRCgAAJzAYDOrWqJK6Naqk6IQULfwnRou3xCo+OUNTfj2sKb8eVlg1f/UOq6w+zaqodrC3s0O2O4slZ1Thztjz2hl7QTtjz2vv6WSlZ+VfA8rb3aTK/1eACvHzUIivu9wpQAEAAJRqFKUAAHCyehV99FqfJnrxpob6eW+8vt4Uo7+jE7Xr5AXtOnlB4348oCZV/NQzNEQd6gWpRc0AubuUroKM1WpVTFKadsSe166TF7Qj5rz2nEpWSkb+aXgeLkZV9HVXiJ+HKvt7KMTXQz4epCwAAABlDRkeAAAlhLuLSX2bV1Xf5lWVmJKhn/bEa9Xu0/o7+qz2nU7WvtPJmvLLIXm4GtWmdqDa1Q1SZJ1ANaniJx/3kvGRbrValZiSqUPxF3Uw/qIOxKfY/v9y60B5uBrVrKq/mlcPUPPq/mpe3V9/HU5UYkqmE6IHAACAI5WMDBYAAOQR7OOue9vW1L1ta+rcpUz9vC9efx5K1PronILNn4cS9eehREmSwSDVDvJWaBU/hVb1U8MQX1X1d9ely0yDsweLxaqzlzIVcy5VMUmpij2XppikVB1NvKRDZ1KUdOnyBSU3k1FNqviqefUAhf1fAap+RZ98i5Cvjz5bLHEDAACgZCnVRamMjAy9/fbb+umnn+Th4aFHHnlEjzzyiLPDAgDArip4u+nO1jV0Z+saslqtOnQmReujz+qvw4naGXtBccnpOpp4SUcTL+n7XafzPNfvxzWqVsFLlf3c5e/pKj9PV/l5uMrP00Vebi4yGgwyGnIKWwaDQRaLVamZZqVlmXUpI1upmWYlp2cpMSVTiRczlJiSoaRLmcq2XG7p8RwGg1Qr0EsNQnzVKMRXDUJ81DDEV/Uq+sjNhbvgAQAAIEepLkqNGzdOu3fv1ueff65Tp07plVdeUdWqVdWrVy9nhwYAQLEwGAxqGOKrhiG+erB9bUnS2ZQM7T2drL2nkrXnVLKOJl5S7LlUnUvNUnJ6tpJPJ2vf6au/buHjkKr4eah6oJdqVPBSjUBP1QryUoNKOcUnT7fSteYVAAAAHK/UFqVSU1O1aNEizZo1S02bNlXTpk116NAhffnllxSlAADlSpCPuzo1qKhODSratpnNZq3fvFVBNRrodHKGziRn6GJ6tpLTs5ScllOsupSRLaskqzVnLSiL1SqjwSAvdxd5uZrk5W6Sl5tJPu6uCvZxU7Cvuyr6uCvYx11BPm5yNTHqCQAAAEVXaotS+/fvV3Z2tiIiImzbWrVqpY8//lgWi0VGI4kyAKB883QxqmGIr5pUDXB2KAAAAEA+pbZyk5CQoAoVKsjNzc22LTg4WBkZGTp//rzzAgMAAAAAAMA1ldqRUmlpaXkKUpJsjzMzr30baavVajvWZCqedS8slpy7HgV6usioKy8I62gVPE0ym80ym83ODqXALBaLPDw8lJWVVaridhSTyaRAT5MM1oL9SluskluQjwJ83GQ0FE9MpbGfFUV56puF7WdFUZS+WV76WmGV1r7piH5WFAGeLjKbzcXanrmvm5ujFEbuc4rzvc597dLUn0oq2tK+aE/7oS3ti/a0H9rSvhzRngXNawzWomQ+JcCqVas0evRo/fXXX7Zt0dHR6tOnjzZu3KiAgICrPj8zM1O7du0q5igBAAAKJywsLN8Xb9dCXgMAAEqia+U1JetryEIICQnRuXPnlJ2dLReXnMtISEiQh4eH/Pz8rvl8FxcXhYWFyWg0ymAopqEiAAAABWS1WmWxWGx5TWGQ1wAAgJKkoHlNqS1KNWnSRC4uLtq+fbtat24tSdqyZYstIbsWo9FY6G8hAQAASiLyGgAAUBqV2oXOPT091b9/f40aNUo7d+7UmjVr9Omnn2rw4MHODg0AAAAAAADXUGrXlJJyFjsfNWqUfvrpJ/n4+OjRRx/VQw895OywAAAAAAAAcA2luigFAAAAAACA0qnUTt8DAAAAAABA6UVRCgAAAAAAAA5HUQoAAAAAAAAOR1HKDjIzM9W3b19t3Ljxisfs3btXd9xxh8LDwzVw4EDt3r3bgRGWLgVpz6eeekqNGjXK8/Pbb785MMqSLT4+XsOHD1dkZKQ6deqkMWPGKCMj47LH0jevrTDtSd+8tuPHj+vRRx9VRESEunbtqtmzZ1/xWPrn1RWmLembBTdkyBC9+uqrV9z/999/q2/fvgoPD9fgwYMVExPjwOgcg9zGfshr7IPcxn7Ia+yLvMZ+yGuKR0nPayhKXaeMjAy98MILOnTo0BWPSU1N1ZAhQ9S6dWstXbpUEREReuKJJ5SamurASEuHgrSnJEVHR2v8+PFat26d7adDhw4OirJks1qtGj58uNLS0vTll19q8uTJ+u233/Thhx/mO5a+eW2FaU+JvnktFotFQ4YMUYUKFfTtt9/q7bff1owZM7RixYp8x9I/r64wbSnRNwvq+++/19q1a6+4/9SpUxo2bJgGDBigxYsXKzAwUEOHDlVZum8MuY39kNfYB7mN/ZDX2Bd5jf2Q1xSPUpHXWFFkhw4dsvbr18966623Whs2bGjdsGHDZY9btGiRtXv37laLxWK1Wq1Wi8Vi7dmzp3XJkiWODLfEK2h7ZmRkWJs0aWI9cuSIgyMsHQ4fPmxt2LChNSEhwbZtxYoV1o4dO+Y7lr55bYVpT/rmtcXHx1ufffZZ68WLF23bhg0bZn3rrbfyHUv/vLrCtCV9s2DOnTtn7dy5s3XgwIHWV1555bLHfPjhh9b777/f9jg1NdUaERFxxc+s0obcxn7Ia+yH3MZ+yGvsi7zGfshr7K+05DWMlLoOmzZtUtu2bbVw4cKrHrdjxw61atVKBoNBkmQwGNSyZUtt377dAVGWHgVtzyNHjshgMKhGjRoOiqx0qVixombPnq3g4OA821NSUvIdS9+8tsK0J33z2ipVqqQPP/xQPj4+slqt2rJli/755x9FRkbmO5b+eXWFaUv6ZsGMHTtWt912m+rXr3/FY3bs2KHWrVvbHnt6eqpp06Zlpl+S29gPeY39kNvYD3mNfZHX2A95jf2VlrzGxWFnKoPuvffeAh2XkJCQryMEBQVdcyh3eVPQ9jxy5Ih8fHw0YsQIbdq0SZUrV9YzzzyjLl26FHOEpYOfn586depke2yxWDR//ny1a9cu37H0zWsrTHvSNwune/fuOnXqlLp166abb7453376Z8Fdqy3pm9e2fv16bd68WStWrNCoUaOueFxCQoIqVaqUZ1tQUJDi4uKKOULHILexH/Ia+yG3sR/ymuJDXmM/5DXXrzTlNYyUcoC0tDS5ubnl2ebm5qbMzEwnRVS6HTlyROnp6erYsaNmz56tLl266KmnntKuXbucHVqJNH78eO3du1fPP/98vn30zcK7WnvSNwtnypQp+vjjj7Vv3z6NGTMm3376Z8Fdqy3pm1eXkZGht956S2+++aY8PDyueiz9MgftYD/8fhYeuY39kNfYD3mN/ZDXXJ/SltcwUsoB3N3d872pmZmZ1+wguLyhQ4fqgQcekL+/vySpcePG2rNnj7755huFhYU5ObqSZfz48fr88881efJkNWzYMN9++mbhXKs96ZuFk9smGRkZeumllzRixIg8H4r0z4K7VlvSN69u2rRpatasWZ7RA1dypX7p5+dXXOGVSPx+2g+/n4VDbmM/5DX2RV5jP+Q116e05TWMlHKAkJAQJSYm5tmWmJiYb5g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",
      "text/plain": [
       "<Figure size 1200x2400 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting for Portuguese dataset\n",
    "plot_histograms_boxplots(por_data, columns_of_interest, 'Portuguese')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the Language Students, we discover:\n",
    "\n",
    "1. Similar age distribution to the Mathematics dataset.\n",
    "2. The distribution is similar to the Mathematics dataset but slightly skewed towards lower study times.\n",
    "3. Very few failures, similar to the Mathematics dataset.\n",
    "4. Grades are slightly higher and more evenly distributed compared to the Mathematics dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Statistical Testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Gender and Academic Performance': (21.910210365202236,\n",
       "  0.14611445184701047,\n",
       "  False),\n",
       " 'Internet Access and Grades': (24.474147027291785,\n",
       "  0.07964798902533757,\n",
       "  False),\n",
       " 'Family Educational Background and Performance': (116.85186784971884,\n",
       "  6.147265010886306e-05,\n",
       "  True)}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Chi Squared Test\n",
    "\n",
    "from scipy.stats import chi2_contingency\n",
    "\n",
    "# Defining a function to perform the Chi-Square Test and interpret results\n",
    "def perform_chi_square_test(data, col1, col2):\n",
    "    # Creating a contingency table\n",
    "    contingency_table = pd.crosstab(data[col1], data[col2])\n",
    "\n",
    "    # Performing the Chi-Square Test\n",
    "    chi2, p, dof, expected = chi2_contingency(contingency_table)\n",
    "\n",
    "    # Interpreting the result\n",
    "    significant = p < 0.05  # 5% significance level\n",
    "    return chi2, p, significant\n",
    "\n",
    "# Aspects to test\n",
    "aspects_to_test = {\n",
    "    'Gender and Academic Performance': ('sex', 'G3'),\n",
    "    'Internet Access and Grades': ('internet', 'G3'),\n",
    "    'Family Educational Background and Performance': ('Medu', 'G3')\n",
    "}\n",
    "\n",
    "# Performing the tests for Mathematics dataset\n",
    "\n",
    "por_chi_square_results = {aspect: perform_chi_square_test(por_data, *columns) for aspect, columns in aspects_to_test.items()}\n",
    "\n",
    "por_chi_square_results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This suggests a significant effect of family education background on student performance in portuguese language."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'School Support and Academic Performance': (32.51747698036442,\n",
       "  0.012967250942184287,\n",
       "  True),\n",
       " 'Family Support and Grades': (13.691883206082325, 0.688779619694134, False),\n",
       " 'Extra-Curricular Activities and Performance': (15.476362071640207,\n",
       "  0.5612107675941844,\n",
       "  False),\n",
       " 'Romantic Relationships and Academic Performance': (30.172481594103168,\n",
       "  0.025127664064858564,\n",
       "  True),\n",
       " 'Health Status and Grades': (69.21650199423279, 0.43611751736038123, False)}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Additional aspects to test in the Mathematics dataset\n",
    "additional_aspects_to_test = {\n",
    "    'School Support and Academic Performance': ('schoolsup', 'G3'),\n",
    "    'Family Support and Grades': ('famsup', 'G3'),\n",
    "    'Extra-Curricular Activities and Performance': ('activities', 'G3'),\n",
    "    'Romantic Relationships and Academic Performance': ('romantic', 'G3'),\n",
    "    'Health Status and Grades': ('health', 'G3')\n",
    "}\n",
    "\n",
    "# Performing the additional tests for Mathematics dataset\n",
    "additional_mat_chi_square_results = {aspect: perform_chi_square_test(mat_data, *columns) for aspect, columns in additional_aspects_to_test.items()}\n",
    "\n",
    "additional_mat_chi_square_results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This suggests significant associations in the Mathematics dataset between academic performance and both school support services and romantic relationships."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This leads us to recommend that:\n",
    "1. Schools should consider expanding their support services, focusing on academic counseling and tutoring, especially for Mathematics.\n",
    "2. Schools should implement programs that offer guidance on managing personal relationships alongside academic responsibilities.\n",
    "3. Schools should encourage parental involvement, especially in households with a lower educational background, to positively influence students’ performance in Portuguese language."
   ]
  }
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