student_result_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "58d4fba0",
   "metadata": {},
   "source": [
    "# Student Result Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3714dfee",
   "metadata": {},
   "source": [
    "Import all the libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ba7d2d03",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9f02fd8",
   "metadata": {},
   "source": [
    "Loading Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fcc08124",
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_csv(\"Expanded_data_with_more_features.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "25952370",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Gender</th>\n",
       "      <th>EthnicGroup</th>\n",
       "      <th>ParentEduc</th>\n",
       "      <th>LunchType</th>\n",
       "      <th>TestPrep</th>\n",
       "      <th>ParentMaritalStatus</th>\n",
       "      <th>PracticeSport</th>\n",
       "      <th>IsFirstChild</th>\n",
       "      <th>NrSiblings</th>\n",
       "      <th>TransportMeans</th>\n",
       "      <th>WklyStudyHours</th>\n",
       "      <th>MathScore</th>\n",
       "      <th>ReadingScore</th>\n",
       "      <th>WritingScore</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>bachelor's degree</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>married</td>\n",
       "      <td>regularly</td>\n",
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       "      <td>school_bus</td>\n",
       "      <td>&lt; 5</td>\n",
       "      <td>71</td>\n",
       "      <td>71</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>group C</td>\n",
       "      <td>some college</td>\n",
       "      <td>standard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>married</td>\n",
       "      <td>sometimes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5 - 10</td>\n",
       "      <td>69</td>\n",
       "      <td>90</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>female</td>\n",
       "      <td>group B</td>\n",
       "      <td>master's degree</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>single</td>\n",
       "      <td>sometimes</td>\n",
       "      <td>yes</td>\n",
       "      <td>4.0</td>\n",
       "      <td>school_bus</td>\n",
       "      <td>&lt; 5</td>\n",
       "      <td>87</td>\n",
       "      <td>93</td>\n",
       "      <td>91</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>group A</td>\n",
       "      <td>associate's degree</td>\n",
       "      <td>free/reduced</td>\n",
       "      <td>none</td>\n",
       "      <td>married</td>\n",
       "      <td>never</td>\n",
       "      <td>no</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5 - 10</td>\n",
       "      <td>45</td>\n",
       "      <td>56</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>male</td>\n",
       "      <td>group C</td>\n",
       "      <td>some college</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>married</td>\n",
       "      <td>sometimes</td>\n",
       "      <td>yes</td>\n",
       "      <td>0.0</td>\n",
       "      <td>school_bus</td>\n",
       "      <td>5 - 10</td>\n",
       "      <td>76</td>\n",
       "      <td>78</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>30636</th>\n",
       "      <td>816</td>\n",
       "      <td>female</td>\n",
       "      <td>group D</td>\n",
       "      <td>high school</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>single</td>\n",
       "      <td>sometimes</td>\n",
       "      <td>no</td>\n",
       "      <td>2.0</td>\n",
       "      <td>school_bus</td>\n",
       "      <td>5 - 10</td>\n",
       "      <td>59</td>\n",
       "      <td>61</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30637</th>\n",
       "      <td>890</td>\n",
       "      <td>male</td>\n",
       "      <td>group E</td>\n",
       "      <td>high school</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>single</td>\n",
       "      <td>regularly</td>\n",
       "      <td>no</td>\n",
       "      <td>1.0</td>\n",
       "      <td>private</td>\n",
       "      <td>5 - 10</td>\n",
       "      <td>58</td>\n",
       "      <td>53</td>\n",
       "      <td>51</td>\n",
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       "    <tr>\n",
       "      <th>30638</th>\n",
       "      <td>911</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>high school</td>\n",
       "      <td>free/reduced</td>\n",
       "      <td>completed</td>\n",
       "      <td>married</td>\n",
       "      <td>sometimes</td>\n",
       "      <td>no</td>\n",
       "      <td>1.0</td>\n",
       "      <td>private</td>\n",
       "      <td>5 - 10</td>\n",
       "      <td>61</td>\n",
       "      <td>70</td>\n",
       "      <td>67</td>\n",
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       "    <tr>\n",
       "      <th>30639</th>\n",
       "      <td>934</td>\n",
       "      <td>female</td>\n",
       "      <td>group D</td>\n",
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       "      <td>standard</td>\n",
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       "      <td>no</td>\n",
       "      <td>3.0</td>\n",
       "      <td>school_bus</td>\n",
       "      <td>5 - 10</td>\n",
       "      <td>82</td>\n",
       "      <td>90</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30640</th>\n",
       "      <td>960</td>\n",
       "      <td>male</td>\n",
       "      <td>group B</td>\n",
       "      <td>some college</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>married</td>\n",
       "      <td>never</td>\n",
       "      <td>no</td>\n",
       "      <td>1.0</td>\n",
       "      <td>school_bus</td>\n",
       "      <td>5 - 10</td>\n",
       "      <td>64</td>\n",
       "      <td>60</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>30641 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Unnamed: 0  Gender EthnicGroup          ParentEduc     LunchType  \\\n",
       "0               0  female         NaN   bachelor's degree      standard   \n",
       "1               1  female     group C        some college      standard   \n",
       "2               2  female     group B     master's degree      standard   \n",
       "3               3    male     group A  associate's degree  free/reduced   \n",
       "4               4    male     group C        some college      standard   \n",
       "...           ...     ...         ...                 ...           ...   \n",
       "30636         816  female     group D         high school      standard   \n",
       "30637         890    male     group E         high school      standard   \n",
       "30638         911  female         NaN         high school  free/reduced   \n",
       "30639         934  female     group D  associate's degree      standard   \n",
       "30640         960    male     group B        some college      standard   \n",
       "\n",
       "        TestPrep ParentMaritalStatus PracticeSport IsFirstChild  NrSiblings  \\\n",
       "0           none             married     regularly          yes         3.0   \n",
       "1            NaN             married     sometimes          yes         0.0   \n",
       "2           none              single     sometimes          yes         4.0   \n",
       "3           none             married         never           no         1.0   \n",
       "4           none             married     sometimes          yes         0.0   \n",
       "...          ...                 ...           ...          ...         ...   \n",
       "30636       none              single     sometimes           no         2.0   \n",
       "30637       none              single     regularly           no         1.0   \n",
       "30638  completed             married     sometimes           no         1.0   \n",
       "30639  completed             married     regularly           no         3.0   \n",
       "30640       none             married         never           no         1.0   \n",
       "\n",
       "      TransportMeans WklyStudyHours  MathScore  ReadingScore  WritingScore  \n",
       "0         school_bus            < 5         71            71            74  \n",
       "1                NaN         5 - 10         69            90            88  \n",
       "2         school_bus            < 5         87            93            91  \n",
       "3                NaN         5 - 10         45            56            42  \n",
       "4         school_bus         5 - 10         76            78            75  \n",
       "...              ...            ...        ...           ...           ...  \n",
       "30636     school_bus         5 - 10         59            61            65  \n",
       "30637        private         5 - 10         58            53            51  \n",
       "30638        private         5 - 10         61            70            67  \n",
       "30639     school_bus         5 - 10         82            90            93  \n",
       "30640     school_bus         5 - 10         64            60            58  \n",
       "\n",
       "[30641 rows x 15 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0871c4a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>NrSiblings</th>\n",
       "      <th>MathScore</th>\n",
       "      <th>ReadingScore</th>\n",
       "      <th>WritingScore</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>30641.000000</td>\n",
       "      <td>29069.000000</td>\n",
       "      <td>30641.000000</td>\n",
       "      <td>30641.000000</td>\n",
       "      <td>30641.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>499.556607</td>\n",
       "      <td>2.145894</td>\n",
       "      <td>66.558402</td>\n",
       "      <td>69.377533</td>\n",
       "      <td>68.418622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>288.747894</td>\n",
       "      <td>1.458242</td>\n",
       "      <td>15.361616</td>\n",
       "      <td>14.758952</td>\n",
       "      <td>15.443525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>249.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>56.000000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>58.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>500.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>67.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>69.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>750.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>80.000000</td>\n",
       "      <td>79.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>999.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Unnamed: 0    NrSiblings     MathScore  ReadingScore  WritingScore\n",
       "count  30641.000000  29069.000000  30641.000000  30641.000000  30641.000000\n",
       "mean     499.556607      2.145894     66.558402     69.377533     68.418622\n",
       "std      288.747894      1.458242     15.361616     14.758952     15.443525\n",
       "min        0.000000      0.000000      0.000000     10.000000      4.000000\n",
       "25%      249.000000      1.000000     56.000000     59.000000     58.000000\n",
       "50%      500.000000      2.000000     67.000000     70.000000     69.000000\n",
       "75%      750.000000      3.000000     78.000000     80.000000     79.000000\n",
       "max      999.000000      7.000000    100.000000    100.000000    100.000000"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c9520f27",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 30641 entries, 0 to 30640\n",
      "Data columns (total 15 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Unnamed: 0           30641 non-null  int64  \n",
      " 1   Gender               30641 non-null  object \n",
      " 2   EthnicGroup          28801 non-null  object \n",
      " 3   ParentEduc           28796 non-null  object \n",
      " 4   LunchType            30641 non-null  object \n",
      " 5   TestPrep             28811 non-null  object \n",
      " 6   ParentMaritalStatus  29451 non-null  object \n",
      " 7   PracticeSport        30010 non-null  object \n",
      " 8   IsFirstChild         29737 non-null  object \n",
      " 9   NrSiblings           29069 non-null  float64\n",
      " 10  TransportMeans       27507 non-null  object \n",
      " 11  WklyStudyHours       29686 non-null  object \n",
      " 12  MathScore            30641 non-null  int64  \n",
      " 13  ReadingScore         30641 non-null  int64  \n",
      " 14  WritingScore         30641 non-null  int64  \n",
      "dtypes: float64(1), int64(4), object(10)\n",
      "memory usage: 3.5+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9db51aef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Unnamed: 0                0\n",
       "Gender                    0\n",
       "EthnicGroup            1840\n",
       "ParentEduc             1845\n",
       "LunchType                 0\n",
       "TestPrep               1830\n",
       "ParentMaritalStatus    1190\n",
       "PracticeSport           631\n",
       "IsFirstChild            904\n",
       "NrSiblings             1572\n",
       "TransportMeans         3134\n",
       "WklyStudyHours          955\n",
       "MathScore                 0\n",
       "ReadingScore              0\n",
       "WritingScore              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3285e2ce",
   "metadata": {},
   "outputs": [],
   "source": [
    "data=data.drop('Unnamed: 0',axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "56068dc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gender</th>\n",
       "      <th>EthnicGroup</th>\n",
       "      <th>ParentEduc</th>\n",
       "      <th>LunchType</th>\n",
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       "      <th>ReadingScore</th>\n",
       "      <th>WritingScore</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>30636</th>\n",
       "      <td>female</td>\n",
       "      <td>group D</td>\n",
       "      <td>high school</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>single</td>\n",
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       "    <tr>\n",
       "      <th>30637</th>\n",
       "      <td>male</td>\n",
       "      <td>group E</td>\n",
       "      <td>high school</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>single</td>\n",
       "      <td>regularly</td>\n",
       "      <td>no</td>\n",
       "      <td>1.0</td>\n",
       "      <td>private</td>\n",
       "      <td>5 - 10</td>\n",
       "      <td>58</td>\n",
       "      <td>53</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30638</th>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>high school</td>\n",
       "      <td>free/reduced</td>\n",
       "      <td>completed</td>\n",
       "      <td>married</td>\n",
       "      <td>sometimes</td>\n",
       "      <td>no</td>\n",
       "      <td>1.0</td>\n",
       "      <td>private</td>\n",
       "      <td>5 - 10</td>\n",
       "      <td>61</td>\n",
       "      <td>70</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30639</th>\n",
       "      <td>female</td>\n",
       "      <td>group D</td>\n",
       "      <td>associate's degree</td>\n",
       "      <td>standard</td>\n",
       "      <td>completed</td>\n",
       "      <td>married</td>\n",
       "      <td>regularly</td>\n",
       "      <td>no</td>\n",
       "      <td>3.0</td>\n",
       "      <td>school_bus</td>\n",
       "      <td>5 - 10</td>\n",
       "      <td>82</td>\n",
       "      <td>90</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30640</th>\n",
       "      <td>male</td>\n",
       "      <td>group B</td>\n",
       "      <td>some college</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>married</td>\n",
       "      <td>never</td>\n",
       "      <td>no</td>\n",
       "      <td>1.0</td>\n",
       "      <td>school_bus</td>\n",
       "      <td>5 - 10</td>\n",
       "      <td>64</td>\n",
       "      <td>60</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Gender EthnicGroup          ParentEduc     LunchType   TestPrep  \\\n",
       "30636  female     group D         high school      standard       none   \n",
       "30637    male     group E         high school      standard       none   \n",
       "30638  female         NaN         high school  free/reduced  completed   \n",
       "30639  female     group D  associate's degree      standard  completed   \n",
       "30640    male     group B        some college      standard       none   \n",
       "\n",
       "      ParentMaritalStatus PracticeSport IsFirstChild  NrSiblings  \\\n",
       "30636              single     sometimes           no         2.0   \n",
       "30637              single     regularly           no         1.0   \n",
       "30638             married     sometimes           no         1.0   \n",
       "30639             married     regularly           no         3.0   \n",
       "30640             married         never           no         1.0   \n",
       "\n",
       "      TransportMeans WklyStudyHours  MathScore  ReadingScore  WritingScore  \n",
       "30636     school_bus         5 - 10         59            61            65  \n",
       "30637        private         5 - 10         58            53            51  \n",
       "30638        private         5 - 10         61            70            67  \n",
       "30639     school_bus         5 - 10         82            90            93  \n",
       "30640     school_bus         5 - 10         64            60            58  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5dcbbf7a",
   "metadata": {},
   "source": [
    "# Gender Distribution\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "600fbdda",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,5))\n",
    "ax=sns.countplot(data=data,x='Gender')\n",
    "ax.bar_label(ax.containers[0])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4f41344f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                    MathScore  ReadingScore  WritingScore\n",
      "ParentEduc                                               \n",
      "associate's degree  68.365586     71.124324     70.299099\n",
      "bachelor's degree   70.466627     73.062020     73.331069\n",
      "high school         64.435731     67.213997     65.421136\n",
      "master's degree     72.336134     75.832921     76.356896\n",
      "some college        66.390472     69.179708     68.501432\n",
      "some high school    62.584013     65.510785     63.632409\n"
     ]
    }
   ],
   "source": [
    "parentEducate_marks=data.groupby('ParentEduc').agg({ 'MathScore':'mean','ReadingScore':'mean','WritingScore':'mean'})\n",
    "print(parentEducate_marks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3ac906a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Xr062bNk0r9PiWj516hQNGzbEzs4OfX19DA0N6dChAwkJCVy+fFmrrqOjI2XKlNEqK1asmNa53r17N0WLFqV48eJa9dq0afPeON6V0rWSeC0BXL9+nTZt2uDo6KiJ3cvLCyDZ+9XbQzrgzbVmY2NDgwYNtM5diRIlcHR0TDJJ4r/cmz72s5bae8GLFy8IDg5O8f73MV6+fMnevXtp0aLFB8f/LViwgFKlSmFiYoKBgQGGhobs3Lnzo39vHD58mFevXiX5vZE7d26qV6+e5LOhUqmSHOe71+bnSBJD8UHLli0jODiYXbt28e233xISEkLr1q016xPHGg4aNAhDQ0OtpWfPngA8fPgwxe23adOGn3/+ma5du7Jt2zaOHTtGcHAwOXLk4NWrVx8V86NHjzAwMEhyY1GpVDg6OvLo0SOtcjs7uyTbMDY2TvX+HR0dky17/fo1z58/59GjR8THx/PTTz8lOUd169YF3n+OEtWsWZPY2FgOHDjAjh07yJ49OyVLlqRmzZoEBQUBb36xv50YPHjwAEVRcHBwSLLvI0eOaPab+HP85ptvktSbOnUqiqLw+PHj9543Y2NjgPeeN2tra/bu3UuJEiX44YcfKFq0KDlz5mTMmDFJxpj9F4k/43d/NgYGBknifvDgARs3bkxy3EWLFgWS/mw+5rgTValShcDAQOLj4+nQoQO5cuXiq6++YuXKlf/5fZGRkeTKleu923n06BGOjo5Jxmna29tjYGCQ5LPx7ozN/3oth4eHU7lyZe7cucOcOXPYv38/wcHBmvGJ757D1Hw2E4/pXcmVvU9K10riOXn+/DmVK1fm6NGjTJw4kT179hAcHMz69euTjd3MzAwrKyutsgcPHhAVFYWRkVGS83f//v0PXmuQ+nvTx37WUnsvePLkCWq1Ok3OfaInT56QkJDwwet45syZfPfdd5QtW5Z169Zx5MgRgoOD8fHx+U+/NyDpNQ+QM2fOJJ8NMzMzrYQY3vxsYmJiPmr/mYXMShYf5O7urplwUq1aNRISEliyZAlr167lm2++IXv27AAMHz6cpk2bJruNQoUKJVv+9OlTNm3axJgxYxg2bJimPDY2NkkSogs7Ozvi4+OJjIzUSg4VReH+/fua1pe0cv/+/WTLjIyMsLCwwNDQEH19fdq3b0+vXr2S3Yabm9sH91O2bFksLCwICgoiLCyMGjVqoFKpqFGjBjNmzCA4OJjw8HCtxDB79uyoVCr279+vSWDelliW+HP86aefKFeuXLL7d3Bw+GCMqeHh4cGqVatQFIWzZ88SEBDA+PHjMTU11boOkpN4I46NjdU6npR+od6/fx9nZ2dNeXx8fJIbfPbs2SlWrBiTJk1Kdp85c+ZM/cGlQqNGjWjUqBGxsbEcOXIEPz8/2rRpg6urK+XLl//o9+XIkeODkwrs7Ow4evQoiqJoJYcRERHEx8drroNE7yaQ2bJl+0/XcmBgIC9evGD9+vW4uLhoyv/L45ns7OxS/AzqIqVrJfFa2rVrF3fv3mXPnj2aVkIgyYS2RMlNksqePTt2dnZs3bo12fdYWlrqFPOHfMxnLbX3gri4OFQqVarO/duf27e9+1m0tbVFX1//g9fx8uXLqVq1KvPnz9cqT+2Eo+Qk/pzv3buXZN3du3eTfDayKkkMhc6mTZvGunXrGD16NE2bNqVQoUIUKFCAM2fOMHnyZJ22pVKpUBQlScKyZMkSEhIStMp0aZWpUaMG06ZNY/ny5fTv319Tvm7dOl68eKGZHZhW1q9fz48//qi5+T179oyNGzdSuXJl9PX1MTMzo1q1apw6dYpixYphZGSU4rbed5yGhoZUqVKFHTt2cOvWLaZMmQJA5cqVMTAwYOTIkZpEMVH9+vWZMmUKd+7coUWLFinut2LFitjY2HDx4kV69+79UedBVyqViuLFizNr1iwCAgI4efKkZl1KrSKJs8/Pnj2rleBv3LhRq17iLOYVK1bw9ddfa8pXr16tNdMY3pyjzZs3ky9fPq1u0//i7Z9jSo93MTY2xsvLCxsbG7Zt28apU6femxh+6H116tRh9OjR7Nq1i+rVqyf73ho1arB69WoCAwNp0qSJpnzZsmWa9e+jy7WcnMRk6e3PvKIoLF68WKftvK1atWpMmzaNM2fOaHUn//HHHzptJ6VrJfFaSi52gIULF6Z6H/Xr12fVqlUkJCRQtmxZneJLSWruje/7rL0rtfcCIyMjypQpk+L9720ODg6YmJhw9uxZrfK///5b67WpqSleXl6sWbOGSZMmpZiMqVSqJD+Hs2fPcvjwYXLnzq0p0+X3Rvny5TE1NWX58uWamd4At2/fZteuXUmGX2RVkhgKnWXLlo3hw4czZMgQ/vjjD9q1a8fChQupU6cO3t7e+Pr64uzszOPHjwkJCeHkyZOsWbMm2W1ZWVlRpUoVfvzxR7Jnz46rqyt79+7l119/xcbGRqvuV199BcCiRYuwtLTExMQENze3ZLtaatWqhbe3N0OHDiU6OpqKFSty9uxZxowZQ8mSJWnfvn2anhN9fX1q1arFgAEDUKvVTJ06lejoaK0HHM+ZM4dKlSpRuXJlvvvuO1xdXXn27BlXr15l48aNmnGR+fLlw9TUlBUrVuDu7o6FhQU5c+bUtFrVqFGDgQMHAmhaBk1NTalQoQLbt2+nWLFi2Nvba/ZbsWJFunfvTqdOnTh+/DhVqlTB3Nyce/fuceDAATw8PPjuu++wsLDgp59+omPHjjx+/JhvvvkGe3t7IiMjOXPmDJGRkUn+Ov8YmzZtYt68eTRu3Ji8efOiKArr168nKiqKWrVqaep5eHiwZ88eNm7ciJOTE5aWlhQqVIi6detia2tLly5dGD9+PAYGBgQEBHDr1i2t/bi7u9OuXTtmz56NoaEhNWvW5Pz580yfPj1J99748ePZsWMHFSpUoE+fPhQqVIiYmBjCwsLYvHkzCxYs+GDX1rs8PDwAmDp1KnXq1EFfX59ixYoxceJEbt++TY0aNciVKxdRUVHMmTNHa6xackaPHv3B9/Xr148///yTRo0aMWzYMMqUKcOrV6/Yu3cv9evXp1q1anTo0IFffvmFjh07EhYWhoeHBwcOHGDy5MnUrVv3veMTE6X2Wk5OrVq1MDIyonXr1gwZMoSYmBjmz5//nx6Y369fP3777Tfq1avHxIkTcXBwYMWKFVqP6EmN9evXY2BgQK1atbhw4QKjRo2iePHimj+oKlSoQLZs2ejRowdjxozB0NCQFStWcObMmVTvo1WrVqxYsYK6devSt29fypQpg6GhIbdv32b37t00atRIK2FPjZTujYcPH07VZ+1dutwLJkyYgI+PD7Vq1WLgwIEkJCQwdepUzM3NtXp9Esc5//bbb+TLl4/ixYtz7NixZJP3mTNnUqlSJcqWLcuwYcPInz8/Dx48YMOGDSxcuBBLS0vq16/PhAkTGDNmDF5eXoSGhjJ+/Hjc3Ny0/vCztLTExcWFv//+mxo1amBra6v5XfMuGxsbRo0axQ8//ECHDh1o3bo1jx49Yty4cZiYmDBmzBidfi6frQya9CI+Ayk9rkZR3syMy5Mnj1KgQAHN7MwzZ84oLVq0UOzt7RVDQ0PF0dFRqV69urJgwQLN+5KblXz79m2lWbNmSrZs2RRLS0vFx8dHOX/+vOLi4pJkVurs2bMVNzc3RV9fX2uG27uzkhNjHDp0qOLi4qIYGhoqTk5Oynfffac8efJEq56Li4tSr169JMfo5eWleHl5vfccJc60mzp1qjJu3DglV65cipGRkVKyZEll27Ztydbv3Lmz4uzsrBgaGio5cuRQKlSooEycOFGr3sqVK5XChQsrhoaGSWbUnTlzRgGUAgUKaL1n0qRJCqAMGDAg2Vh/++03pWzZsoq5ubliamqq5MuXT+nQoYNy/PhxrXp79+5V6tWrp9ja2iqGhoaKs7OzUq9ePWXNmjWaOomzOBMfJ5Qoucc/vOvSpUtK69atlXz58immpqaKtbW1UqZMGSUgIECr3unTp5WKFSsqZmZmCqD1szh27JhSoUIFxdzcXHF2dlbGjBmjLFmyJMm+Y2NjlYEDByr29vaKiYmJUq5cOeXw4cPJXluRkZFKnz59FDc3N8XQ0FCxtbVVvv76a2XEiBHK8+fPFUX59+f9448/Jjmud39OsbGxSteuXZUcOXIoKpVKE9umTZuUOnXqKM7OzoqRkZFib2+v1K1bV9m/f3+K50xRlFS/78mTJ0rfvn2VPHnyKIaGhoq9vb1Sr1495dKlS5o6jx49Unr06KE4OTkpBgYGiouLizJ8+HCtxzglHlOvXr2SjSe113JyNm7cqBQvXlwxMTFRnJ2dlcGDBytbtmxJcm/w8vJSihYtmuT9yX3eL168qNSqVUsxMTFRbG1tlS5duih///23TrOST5w4oTRo0ECxsLBQLC0tldatWysPHjzQqnvo0CGlfPnyipmZmZIjRw6la9euysmTJ5PMuO3YsaNibm6e7P7i4uKU6dOna86BhYWFUrhwYeXbb79Vrly5oqmny70puXtjaj9rKUnNvUBRFGXDhg1KsWLFFCMjIyVPnjzKlClTkn16wNOnT5WuXbsqDg4Oirm5udKgQQMlLCws2VnDFy9eVJo3b67Y2dlptuvr66u5RmNjY5VBgwYpzs7OiomJiVKqVCklMDAw2WsjKChIKVmypGJsbKz1RIKU7ldLlizRHI+1tbXSqFEjzZMJEqX0803pqQmfE5WiKEq6ZaFCCCFEJjN27FjGjRtHZGTkFzOOTIiUyKxkIYQQQggBSGIohBBCCCH+T7qShRBCCCEEIC2GQgghhBDi/yQxFEIIIYQQgCSGQgghhBDi/yQxFEIIIYQQgHzzifgMrHFqm9EhiEykWon3f4eq+LI8u6vbV/KJrM/tzI5Pvo+4h9fTZDuG2fOmyXbSkiSGQgghhBC6UCdkdASfjHQlCyGEEEIIQFoMhRBCCCF0o6gzOoJPRhJDIYQQQghdqLNuYihdyUIIIYQQOlAUdZosunB1dUWlUiVZevXqpakTEhJCw4YNsba2xtLSknLlyhEeHq7TfqTFUAghhBAikwsODiYh4d9JL+fPn6dWrVo0b94cgGvXrlGpUiW6dOnCuHHjsLa2JiQkBBMTE532I4mhEEIIIYQuMqArOUeOHFqvp0yZQr58+fDy8gJgxIgR1K1bl2nTpmnq5M2r++NwpCtZCCGEEEIXijpNltjYWKKjo7WW2NjYD+7+9evXLF++nM6dO6NSqVCr1fzzzz8ULFgQb29v7O3tKVu2LIGBgTofmiSGQgghhBAZwM/PD2tra63Fz8/vg+8LDAwkKioKX19fACIiInj+/DlTpkzBx8eH7du306RJE5o2bcrevXt1ikmlKIryMQcjRHqRbz4Rb5NvPhFvk28+Ee9Kj28+eX3zZJpsR3EsmqSF0NjYGGNj4/e+z9vbGyMjIzZu3AjA3bt3cXZ2pnXr1vzxxx+aeg0bNsTc3JyVK1emOiYZYyiEEEIIoYs0eo5hapLAd928eZOgoCDWr1+vKcuePTsGBgYUKVJEq667uzsHDhzQafvSlSyEEEII8Znw9/fH3t6eevXqacqMjIwoXbo0oaGhWnUvX76Mi4uLTtuXFkMhhBBCCF1k0AOu1Wo1/v7+dOzYEQMD7RRu8ODBtGzZkipVqlCtWjW2bt3Kxo0b2bNnj077kMRQCCGEEEIHuj6cOq0EBQURHh5O586dk6xr0qQJCxYswM/Pjz59+lCoUCHWrVtHpUqVdNqHTD4RmZ5MPhFvk8kn4m0y+US8Kz0mn8ReO5Im2zHOVy5NtpOWpMVQCCGEEEIXWfi7kiUxFEIIIYTQRQZ1JacHSQyFEEIIIXShTvhwnc+UPK5GCCGEEEIA0mIohBBCCKEb6UoWQgghhBBAlp58Il3JQgghhBACkBZDIYQQQgjdZOGuZGkxTEHVqlXp169fRofxUVxdXZk9e3ZGhyGEEEJkTWp12iyZkLQYpmD9+vUYGhqmuv6ePXuoVq0aT548wcbGJtXvCwsLw83NDfkCGgFg4piNYiNb4VitOPqmRjy/dp/ggYuIOhsGgL6ZMcVGtCKnjyfG2Sx4cTuSK0u2cX3ZzowNXHwS2QJWoe/glKT81ca/eDFvNkYVKmNStyEG+QuiZ23Dk15dSLh+NQMiFekh1+bfMXR2TFIevWoDj/x+AsCmR3ssm9VDz8qC2HOXeOT3E3HXbqZ3qOIzJolhCmxtbTM6hEzt9evXGBnJV1GlJUNrM6pvGEPEwYvsbzuN2IfRWLg6EPf0paZOifHtsa/gzrHe83hxKxKHqh6U8utEzIMo7m47kYHRi08hqu+3oKeveW3g4oa130xe798DgMrElLiL54ndvwfLfkMyJEaRfu627Y1K79+OPsP8rjgtmsaLHXsBsO7UEuv2zYgcPZ24m7ex6dYGxwVTud2oE8rLVxkVdpakKPIcw09i69atVKpUCRsbG+zs7Khfvz7Xrl3TrH/9+jW9e/fGyckJExMTXF1d8fPz06wfO3YsefLkwdjYmJw5c9KnTx/NuidPntChQweyZcuGmZkZderU4cqVK1r7P3jwIF5eXpiZmZEtWza8vb158uQJkLQrefny5Xh6emJpaYmjoyNt2rQhIiICeNPqV61aNQCyZcuGSqXC19cXAEVRmDZtGnnz5sXU1JTixYuzdu3aFM/JzZs3adCgAdmyZcPc3JyiRYuyefPmFOtHRETQoEEDTE1NcXNzY8WKFUnqPH36lO7du2Nvb4+VlRXVq1fnzJkzWnUmTpyIvb09lpaWdO3alWHDhlGiRAnNel9fXxo3boyfnx85c+akYMGCANy5c4eWLVuSLVs27OzsaNSoEWFhYVrb9vf3x93dHRMTEwoXLsy8efNSPJ4vWeFeDXh59xHH+y/iyenrvLz9kIgDF3hxM0JTx+7r/ISt2U/k4RBe3n7IjeW7eXoxnGzF3TIwcvGpKE+fojx5rFmMypYn4e5t4s6dBiB213Ze/bGUuFPyR8GXQP3kKQmPnmgWsyrliAu/Q8zxswBYtW1C1JKVvNx5gLirYUSO/BGViTEWdatncORZkKJOmyUTytDE8MWLFwwYMIDg4GB27tyJnp4eTZo0Qf3/fve5c+eyYcMGVq9eTWhoKMuXL8fV1RWAtWvXMmvWLBYuXMiVK1cIDAzEw8NDs21fX1+OHz/Ohg0bOHz4MIqiULduXeLi4gA4ffo0NWrUoGjRohw+fJgDBw7QoEEDEhKS/yvg9evXTJgwgTNnzhAYGMiNGzc0yV/u3LlZt24dAKGhody7d485c+YAMHLkSPz9/Zk/fz4XLlygf//+tGvXjr179ya7n169ehEbG8u+ffs4d+4cU6dOxcLCIsVz6OvrS1hYGLt27WLt2rXMmzdPk7DCm8S0Xr163L9/n82bN3PixAlKlSpFjRo1ePz4MQArVqxg0qRJTJ06lRMnTpAnTx7mz5+fZF87d+4kJCSEHTt2sGnTJl6+fEm1atWwsLBg3759HDhwAAsLC3x8fHj9+jUAixcvZsSIEUyaNImQkBAmT57MqFGjWLp0aYrH9KXK6f01T87coNyiPjQ4N4+a2yfh1raaVp2Hxy6Ts3YpTByzAZCjQhEs8jpyf8/ZjAhZpCcDA4yr1SJm+5aMjkRkBgYGWNSrwbPAbW9eOjtikMOOV4eP/1snLo6YE2cxLl4kg4IUn6MM7Upu1qyZ1utff/0Ve3t7Ll68yFdffUV4eDgFChSgUqVKqFQqXFxcNHXDw8NxdHSkZs2aGBoakidPHsqUKQPAlStX2LBhAwcPHqRChQrAm+Qnd+7cBAYG0rx5c6ZNm4anp6dW61XRokVTjLVz586af+fNm5e5c+dSpkwZnj9/joWFhabr2d7eXjPG8MWLF8ycOZNdu3ZRvnx5zXsPHDjAwoUL8fLywtXVVWt8YXh4OM2aNdMkuXnz5k0xpsuXL7NlyxaOHDlC2bJlNefQ3d1dU2f37t2cO3eOiIgIjI2NAZg+fTqBgYGsXbuW7t2789NPP9GlSxc6deoEwOjRo9m+fTvPnz/X2p+5uTlLlizRdCH/9ttv6OnpsWTJElQqFfCmddDGxoY9e/ZQu3ZtJkyYwIwZM2jatCkAbm5uXLx4kYULF9KxY8ckxxQbG0tsbKxWWZySgKFKP0ndrMY8Tw7ydajB5UVbuDT3b2xL5qPkhA6oX8dxc80BAE6NXIrn9K40OPUz6rh4FLXC8UFLeHTscgZHLz41o/KVUVlYELtDEkMB5tUroGdpwfMN2wHQz/7md1DCoyitegmPnmCQ0yG9w8v6MunEkbSQoS2G165do02bNuTNmxcrKyvc3N50h4WHhwNvWsNOnz5NoUKF6NOnD9u3b9e8t3nz5rx69Yq8efPSrVs3/vrrL+Lj4wEICQnBwMBAkywB2NnZUahQIUJCQoB/WwxT69SpUzRq1AgXFxcsLS2pWrWqVqzJuXjxIjExMdSqVQsLCwvNsmzZMq0u87f16dOHiRMnUrFiRcaMGcPZsym3BCUep6enp6ascOHCWpNfTpw4wfPnz7Gzs9OK4caNG5oYQkNDNUl1ondfA3h4eGiNKzxx4gRXr17F0tJSs11bW1tiYmK4du0akZGR3Lp1iy5dumjte+LEiSkev5+fH9bW1lrLX88vpHgOshKVnh5PzoVx3m81Uedvcv33XVxfsZt8HWpq6hTo4o1dqfwc6DCdIO+RnBm3glJ+vthXTvmPGpE1mHjXJe74MdSPH2V0KCITsGhSh1cHj5EQ+c718M5ERpVKlaRMpIEs3JWcoS2GDRo0IHfu3CxevJicOXOiVqv56quvNN2QpUqV4saNG2zZsoWgoCBatGhBzZo1Wbt2Lblz5yY0NJQdO3YQFBREz549+fHHH9m7d2+KM3wVRdG0bJmamqY6zhcvXlC7dm1q167N8uXLyZEjB+Hh4Xh7e2tiTU5il/g///yDs7Oz1rrE1rt3de3aFW9vb/755x+2b9+On58fM2bM4Pvvv0/2eADNMaUUg5OTE3v27Emy7u0E8t1tJHcOzc3Nk2z766+/TnZcY44cOYiJiQHedCe/naQD6Osn3wI4fPhwBgwYoFW2qWD3ZOtmNa8iooi+fEerLPrKHXLVKw2AnokhHsNbcrDzLO7vPA3A05Bb2BR1odB39YjY/2Uk0F8iPXsHDEt8zbOJozI6FJEJGDjZY1q2JBEDxmnKEh6+GRqknz2b5t8AerY2JDx6ku4xZnnqrDv5JMMSw0ePHhESEsLChQupXLkyAAcOHEhSz8rKipYtW9KyZUu++eYbfHx8ePz4Mba2tpiamtKwYUMaNmxIr169KFy4MOfOnaNIkSLEx8dz9OhRTVfyo0ePuHz5sqabtVixYuzcuZNx48Yl2ee7Ll26xMOHD5kyZQq5c+cG4Pjx41p1ElvS3h6jWKRIEYyNjQkPD8fLyyvV5yZ37tz06NGDHj16MHz4cBYvXpxsYuju7k58fDzHjx/XtPCFhoYSFRWlqVOqVCnu37+PgYGBZnzmuwoVKsSxY8do3769puzd40tOqVKl+PPPPzWTWt5lbW2Ns7Mz169fp23bth/cHrxJmN9Nmr+EbmSAR8cuY5lf+9EklvmceHH7IQB6BgboGRkk+etfUatBTx5JmpWZ1KqD8jSK18eOZHQoIhOwaORNwuMoXu4/qimLv3Of+MhHmJb7mteX/t8jY2CAydfFeDJnSQZFKj5HGZYYJs5iXbRoEU5OToSHhzNs2DCtOrNmzcLJyYkSJUqgp6fHmjVrcHR0xMbGhoCAABISEihbtixmZmb8/vvvmJqa4uLiopkd261bNxYuXIilpSXDhg3D2dmZRo0aAW9apjw8POjZsyc9evTAyMiI3bt307x5c7Jnz64VR548eTAyMuKnn36iR48enD9/ngkTJmjVcXFxQaVSsWnTJurWrYupqSmWlpYMGjSI/v37o1arqVSpEtHR0Rw6dAgLC4tkx9j169ePOnXqULBgQZ48ecKuXbu0xgy+rVChQvj4+NCtWzcWLVqEgYEB/fr102oNrVmzJuXLl6dx48ZMnTqVQoUKcffuXTZv3kzjxo3x9PTk+++/p1u3bnh6elKhQgX+/PNPzp49+97xjQBt27blxx9/pFGjRowfP55cuXIRHh7O+vXrGTx4MLly5WLs2LH06dMHKysr6tSpQ2xsLMePH+fJkydJWga/dJcXbaH6xjEU7tOQWxuOYlsyH3nbVePE4F8BiH/+iohDFyk2qjUJr17z4vZDcpR3x/WbypweuzyDoxefjEqFca06xARtTdJKobKwRM/eAT07OwD0c735w1X9/1nMIgtSqbBs5M3zjTsgQbsrMnrFX1h3aU1c+B3iwu9g06U1SkwszzfvyqBgs7BM2g2cFjKsmUFPT49Vq1Zx4sQJvvrqK/r378+PP/6oVcfCwoKpU6fi6elJ6dKlCQsLY/Pmzejp6WFjY8PixYupWLGipvVv48aN2P3/Bunv78/XX39N/fr1KV++PIqisHnzZs1DqwsWLMj27ds5c+YMZcqUoXz58vz9998YGCTNlXPkyEFAQABr1qyhSJEiTJkyhenTp2vVcXZ2Zty4cQwbNgwHBwd69+4NwIQJExg9ejR+fn64u7vj7e3Nxo0bNeMp35WQkECvXr1wd3fHx8eHQoUKvffxLv7+/uTOnRsvLy+aNm2qeSxNIpVKxebNm6lSpQqdO3emYMGCtGrVirCwMBwc3gxIbtu2LcOHD2fQoEGa7ntfX19MTEze+zM0MzNj37595MmTh6ZNm+Lu7k7nzp159eqVpgWxa9euLFmyhICAADw8PPDy8iIgICDF4/+SPTlznUOdZ5OncQW8d0+hSP/GnB69nPD1hzR1jvT4mcenr1P2l5747J1G4e8bcG7qannAdRZmWPJr9B0cidme9LFVRuUqku2XX7EePw0Aq+FjyfbLr5jWbZjeYYp0YlquFAY5HXgWuDXJuqf+fxK9Yj12P3xPzj9+Qd8+O/e/GybPMPwUsvA3n6gU+coNkYxatWrh6OjI77//ntGhsMYpdd3Q4stQrcTtjA5BZCLP7sqD9oU2tzM7Pvk+Yo78mSbbMSnXMk22k5bkm08EL1++ZMGCBXh7e6Ovr8/KlSsJCgpix45P/+ESQgghPjtZuCtZEkOh6W6eOHEisbGxFCpUiHXr1lGzZs0Pv1kIIYT40mTSbuC0IImhwNTUlKCgoIwOQwghhBAZTBJDIYQQQghdSIuhEEIIIYQAUJSs+4BreSquEEIIIYQApMVQCCGEEEI30pUshBBCCCEAeVyNEEIIIYT4vyzcYihjDIUQQgghBCAthkIIIYQQupGuZCGEEEIIAUhXshBCCCGEyPqkxVAIIYQQQhfSlSyEEEIIIQDpShZCCCGEEFmftBgKIYQQQugiC7cYSmIohBBCCKGLLDzGULqShRBCCCEEIC2GQgghhBC6ka5kIYQQQggBZOmuZEkMhRBCCCF0kYVbDGWMoRBCCCGEACQxFEIIIYTQjaJOm0UHrq6uqFSqJEuvXr2S1P32229RqVTMnj1b50OTrmQhhBBCCF1kQFdycHAwCQkJmtfnz5+nVq1aNG/eXKteYGAgR48eJWfOnB+1H0kMRaZX1vl+RocgMhGzGgUyOgSRiZiZmmR0CEKkixw5cmi9njJlCvny5cPLy0tTdufOHXr37s22bduoV6/eR+1HEkMhhBBCCF2kUYthbGwssbGxWmXGxsYYGxu/932vX79m+fLlDBgwAJVK9f+Q1LRv357BgwdTtGjRj45JxhgKIYQQQuhCUdJk8fPzw9raWmvx8/P74O4DAwOJiorC19dXUzZ16lQMDAzo06fPfzo0aTEUQgghhMgAw4cPZ8CAAVplH2otBPj111+pU6eOZhzhiRMnmDNnDidPntS0IH4sSQyFEEIIIXSRRl3Jqek2ftfNmzcJCgpi/fr1mrL9+/cTERFBnjx5NGUJCQkMHDiQ2bNnExYWlurtS2IohBBCCKGLDHzAtb+/P/b29lqTS9q3b0/NmjW16nl7e9O+fXs6deqk0/YlMRRCCCGE+Ayo1Wr8/f3p2LEjBgb/pnB2dnbY2dlp1TU0NMTR0ZFChQrptA9JDIUQQgghdJFB35UcFBREeHg4nTt3/mT7kMRQCCGEEEIXGdSVXLt2bRRFSVVdXcYVvk0SQyGEEEIIXaQyOfscyXMMhRBCCCEEIC2GQgghhBC6ycBZyZ+aJIZCCCGEELrIwomhdCULIYQQQghAWgyFEEIIIXSTQY+rSQ+SGAohhBBC6EBRy6xkIYQQQgiRxUmLoRBCCCGELrLw5BNJDIUQQgghdJGFxxhKV7IQQgghhACkxVAIIYQQQjdZePKJJIZCCCGEELqQMYZCCCGEEALI0omhjDEUQgghhBCAtBgKIYQQQuhGybpjDDNdi2HVqlXp16/fJ92Hr68vjRs3/k/bCAgIwMbGJk3iSWuurq7Mnj07o8MQQgghsia1Om2WTEhaDDNYWFgYbm5uKFn4rw+ROjk3rMAgp2OS8mer/+bJtLkAWHfvgHmTeuhZWvL6QghPps4l7vrN9A5VpBOTblPQs86epDzu1C7idv6BYYWG6BcqjcrKFhLiUT+4Sdz+v1Dfv5EB0YpPra7/fu49i0lS3sIjF8OrubPgyDW2XbnP/WcxGOrr4W5vRe/y+fFwtM6AaMXnShLDDBQXF5fRIXy0169fY2RklNFhZCn3O/QE/X8b8Q3zueEw70de7twLgGXHVli2+YZH46YRH34bqy7tyPHLNO4180V5+SqjwhafUMzyiaD695rQy+6MSYuBJFw+AYD68X0Sdv6B8jQSDIww/LoWxs3782rJD/DqeUaFLT6R5S3Lon6rEeHqo+d8F3iSWgUcAHDJZsZQr8LksjYlNl7N8lM36Rl4kr87VMTWTO7XaSoLP64m03UlA8THx9O7d29sbGyws7Nj5MiRWi1qy5cvx9PTE0tLSxwdHWnTpg0RERFa27hw4QL16tXDysoKS0tLKleuzLVr17TqTJ8+HScnJ+zs7OjVq5dWovb69WuGDBmCs7Mz5ubmlC1blj179rw37vnz55MvXz6MjIwoVKgQv//+u9Z6lUrFggULaNSoEebm5kycODHJNm7evEmDBg3Ili0b5ubmFC1alM2bN6e4z4iICBo0aICpqSlubm6sWLEiSZ2nT5/SvXt37O3tsbKyonr16pw5c0arzsSJE7G3t8fS0pKuXbsybNgwSpQooVmf2P3u5+dHzpw5KViwIAB37tyhZcuWZMuWDTs7Oxo1akRYWJjWtv39/XF3d8fExITChQszb968957HL5U66inqR080i2mlcsTdukPsiTc/K6vWTXnq/wevdh8g7loYj8ZMRc/EBHOfGhkcufhkXj2Hl9GaRT9fMdRPIlDfCgUg4dIx1OEhKE8fojy6y+s9f6IyNkMvR64MDlx8CrZmRmQ3N9Ys+8MektvalK+dswFQp5AT5fLYkcvajHx2FgysXIjnr+O58uhZBkeeBSnqtFkyoUyZGC5duhQDAwOOHj3K3LlzmTVrFkuWLNGsf/36NRMmTODMmTMEBgZy48YNfH19Nevv3LlDlSpVMDExYdeuXZw4cYLOnTsTHx+vqbN7926uXbvG7t27Wbp0KQEBAQQEBGjWd+rUiYMHD7Jq1SrOnj1L8+bN8fHx4cqVK8nG/Ndff9G3b18GDhzI+fPn+fbbb+nUqRO7d+/WqjdmzBgaNWrEuXPn6Ny5c5Lt9OrVi9jYWPbt28e5c+eYOnUqFhYWKZ4rX19fwsLC2LVrF2vXrmXevHlaSbKiKNSrV4/79++zefNmTpw4QalSpahRowaPHz8GYMWKFUyaNImpU6dy4sQJ8uTJw/z585Psa+fOnYSEhLBjxw42bdrEy5cvqVatGhYWFuzbt48DBw5gYWGBj48Pr1+/BmDx4sWMGDGCSZMmERISwuTJkxk1ahRLly5N8ZgEYGCAed2avNiwFQB9Zyf0s9sRc+T4v3Xi4og5eQajYkUzKEiRrvT0MXAvR/z5AymvL1YFJeYl6sjb6RubSHdxCWo2X7pHoyLOqFSqZNevv3AbCyMDCma3zIAIxecqU3Yl586dm1mzZqFSqShUqBDnzp1j1qxZdOvWDUArocqbNy9z586lTJkyPH/+HAsLC3755Resra1ZtWoVhoaGAJoWrkTZsmXj559/Rl9fn8KFC1OvXj127txJt27duHbtGitXruT27dvkzJkTgEGDBrF161b8/f2ZPHlykpinT5+Or68vPXv2BGDAgAEcOXKE6dOnU61aNU29Nm3aJEkI324NDQ8Pp1mzZnh4eGiOLyWXL19my5YtHDlyhLJlywLw66+/4u7urqmze/duzp07R0REBMbGxppYAwMDWbt2Ld27d+enn36iS5cudOrUCYDRo0ezfft2nj/X7ooyNzdnyZIlmi7k3377DT09PZYsWaK5Mfn7+2NjY8OePXuoXbs2EyZMYMaMGTRt2hQANzc3Ll68yMKFC+nYsWOSY4qNjSU2Nla7TK3GWC9T/g3zyZhVrYiehQUvNm4DQN/uTYuA+tETrXrqR0/Qd3JI9/hE+tMvUBJMzEg4f1CrXC9vMYzrdwdDI5TnT4ldO1O6kb8Au69F8Cw2ngbuTlrl+25EMmzrOWLiEshubsyCJqXIZirdyGlOupLTV7ly5bT+AipfvjxXrlwhISEBgFOnTtGoUSNcXFywtLSkatWqwJukCuD06dNUrlxZkxQmp2jRoujr62teOzk5aVraTp48iaIoFCxYEAsLC82yd+/eJN3RiUJCQqhYsaJWWcWKFQkJCdEq8/T0fO+x9+nTh4kTJ1KxYkXGjBnD2bNnU6wbEhKCgYGB1jYLFy6sNVv6xIkTPH/+HDs7O61juXHjhuZYQkNDKVOmjNa2330N4OHhoTWu8MSJE1y9ehVLS0vNdm1tbYmJieHatWtERkZy69YtunTporXviRMnpnge/fz8sLa21lrm3Q977znLiswb1SHm0DESHj7SKk8ySUmlytKPTRD/MviqEuob51FePNUqV9+6RMyy8cT+MQV12HmMGnwLZtJClNUFXrxLRRc77C1MtMpL57JlVetyBDQvTQUXO4ZsOcvjl68zKMqsS1Gr02TJjDJli+H7vHjxgtq1a1O7dm2WL19Ojhw5CA8Px9vbW9N9aWpq+sHtvJs0qlQq1P//IanVavT19Tlx4oRW8gi8t1v33eZ8RVGSlJmbm783rq5du+Lt7c0///zD9u3b8fPzY8aMGXz//fdJ6iYmCcl1IyRSq9U4OTklOz7y7QQyudjf9W7sarWar7/+OtlxjTly5CAm5s3sucWLF2taNBO9e14TDR8+nAEDBmiVPajaKNm6WZW+oz0mZUrxcMhYTVnC/1sK9bPbon70WFOuZ2tDwuOodI5QpDeVlS16LkV4/Xcy43PjXqNERaBERfD63nVMukzC4KtKxB/bkv6BinRxN/oVR289Ynrd4knWmRrqk8fGjDw2ZhRzsqHh0gP8deEOXUq7ZUCk4nOUKRPDI0eOJHldoEAB9PX1uXTpEg8fPmTKlCnkzp0bgOPHj2vVL1asGEuXLiUuLu69rYYpKVmyJAkJCURERFC5cuVUvcfd3Z0DBw7QoUMHTdmhQ4e0unVTK3fu3PTo0YMePXowfPhwFi9enGxi6O7uTnx8PMePH9e08IWGhhIVFaWpU6pUKe7fv4+BgQGurq7J7q9QoUIcO3aM9u3ba8rePafJKVWqFH/++admUsu7rK2tcXZ25vr167Rt2/aD2wMwNjbWdHknivrCupEtGvqgfhLFqwP/fg4S7twj4eEjTMp+TVzo1TeFBgaYlCpO1E+LMyhSkV4MvqoEL6NJuJ5yD8K/VKgMdL/vic/Hhot3sTU1orJb0kcZJScuIXO2TH3WpCs5fd26dYsBAwYQGhrKypUr+emnn+jbty8AefLkwcjIiJ9++onr16+zYcMGJkyYoPX+3r17Ex0dTatWrTh+/DhXrlzh999/JzQ0NFX7L1iwIG3btqVDhw6sX7+eGzduEBwczNSpU1OcITx48GACAgJYsGABV65cYebMmaxfv55BgwbpdOz9+vVj27Zt3Lhxg5MnT7Jr164Uk8tChQrh4+NDt27dOHr0KCdOnKBr165aLaY1a9akfPnyNG7cmG3bthEWFsahQ4cYOXKkJvn7/vvv+fXXX1m6dClXrlxh4sSJnD179r0tkQBt27Yle/bsNGrUiP3793Pjxg327t1L3759uX37zeD3sWPH4ufnx5w5c7h8+TLnzp3D39+fmTNn6nRevhgqFeYNfHi+aTu8czOPXrke605tMK1aEcN8rtiNHYI6JoYXW3dmULAifajQ/6oi8RcOa89iNDTCsFIT9JzyorKyRWWfB6PaHVFZZiM+9MN/2InPk1pR+DvkLvXdc2Lw1h/Nr+IS+OnQFc7ei+Ju9CtCIqIZF3SBB89jNY+zEWkoC89KzpQthh06dODVq1eUKVMGfX19vv/+e7p37w686aIMCAjghx9+YO7cuZQqVYrp06fTsGFDzfvt7OzYtWsXgwcPxsvLC319fUqUKJFkDOD7+Pv7M3HiRAYOHMidO3ews7OjfPny1K1bN9n6jRs3Zs6cOfz444/06dMHNzc3/P39NeMfUyshIYFevXpx+/ZtrKys8PHxYdasWe+Ns2vXrnh5eeHg4MDEiRMZNWqUZr1KpWLz5s2MGDGCzp07ExkZiaOjI1WqVMHB4c3Nom3btly/fp1BgwYRExNDixYt8PX15dixY++N1czMjH379jF06FCaNm3Ks2fPcHZ2pkaNGpoWxK5du2JmZsaPP/7IkCFDMDc3x8PD45N/u83nyqRMKQycHDSzkd/2bOkq9IyNsB3WFz1LS2LPhxDZe6g8wzCL03NxR8/Kjth3ZyOr1ahsnTAqWgGVqQVKzAvU928Qu2oqyqO7GROs+OSOhj/m/rMYGhfJqVWup4KwJy/ZGHKWqFevsTY1pKi9Nb9940k+u5SHQImPlIVbDFWKfOWGSEatWrVwdHRM8izGjBDuKc/pE//K3krGSom3mJp8uI74opj1+vmT7+PF+NQNj/oQ89FJx+hntEzZYijS18uXL1mwYAHe3t7o6+uzcuVKgoKC2LFjR0aHJoQQQmQ+mXRGcVqQxFBoupsnTpxIbGwshQoVYt26ddSsWTOjQxNCCCEynyzclSyJocDU1JSgoKCMDkMIIYQQGUwSQyGEEEIIXWTSGcVpQRJDIYQQQghdZOGu5Ez5HEMhhBBCCJH+pMVQCCGEEEIHmfV7jtOCJIZCCCGEELqQrmQhhBBCCJHVSYuhEEIIIYQusnCLoSSGQgghhBC6kMfVCCGEEEIIIEu3GMoYQyGEEEIIAUiLoRBCCCGETpQs3GIoiaEQQgghhC6ycGIoXclCCCGEEJmcq6srKpUqydKrVy/i4uIYOnQoHh4emJubkzNnTjp06MDdu3d13o8khkIIIYQQulCr02bRQXBwMPfu3dMsO3bsAKB58+a8fPmSkydPMmrUKE6ePMn69eu5fPkyDRs21PnQpCtZCCGEEEIXGdCVnCNHDq3XU6ZMIV++fHh5eaFSqTSJYqKffvqJMmXKEB4eTp48eVK9H0kMhRBCCCEyQGxsLLGxsVplxsbGGBsbv/d9r1+/Zvny5QwYMACVSpVsnadPn6JSqbCxsdEpJulKFkIIIYTQhVpJk8XPzw9ra2utxc/P74O7DwwMJCoqCl9f32TXx8TEMGzYMNq0aYOVlZVOhyYthkIIIYQQOlCUtOlKHj58OAMGDNAq+1BrIcCvv/5KnTp1yJkzZ5J1cXFxtGrVCrVazbx583SOSRJDIYQQQogMkJpu43fdvHmToKAg1q9fn2RdXFwcLVq04MaNG+zatUvn1kKQxFAIIYQQQjcZ+BxDf39/7O3tqVevnlZ5YlJ45coVdu/ejZ2d3UdtXxJDIYQQQghdZFBiqFar8ff3p2PHjhgY/JvCxcfH880333Dy5Ek2bdpEQkIC9+/fB8DW1hYjI6NU70MSQyGEEEIIHWTUV+IFBQURHh5O586dtcpv377Nhg0bAChRooTWut27d1O1atVU70OlpNUISiE+EU+nyhkdgshEmhm5ZHQIIhM5okRldAgik/k7fNMn38fTTjXTZDvW/kFpsp20JC2GQgghhBC6yMLflSyJoRBCCCGELnT7NrvPijzgWgghhBBCANJiKIQQQgihk4yafJIeJDEUQgghhNBFFk4MpStZCCGEEEIA0mIohBBCCKGbLDz5RBJDIYQQQggdZOUxhtKVLIQQQgghAGkxFEIIIYTQjXQlCyGEEEIIyNpdyZIYCiGEEELoIgu3GMoYQyGEEEIIAUiLoRBCCCGETpQs3GIoiaEQQgghhC6ycGIoXclCCCGEEAKQFkMhhBBCCJ1IV7IQQgghhHgjCyeG0pUshBBCCCEAaTEUQgghhNCJdCULIYQQQghAEkMhhBBCCPF/WTkxlDGGQgghhBACkMQwTVStWpV+/fq9t45KpSIwMDDV29yzZw8qlYqoqKj/FFtqBQQEYGNj88n34+vrS+PGjT/5foQQQohPRlGlzZIJSVdyOrl37x7ZsmXL6DBEJpfDMTvfj/yOCtXKYmJqzM1rt5gwcAqXzl5OUveHaYNo2r4RM0bPZeXiNRkQrfjULByyUW14K/JVLYaBiRGPr99n85DF3D8fBsDwm8uTfd+uySs5uvCfdIxUpBdbBzs6DvelVLWvMTYx4s71u/w8ZA7Xzl0DoM+MftRoXlPrPaEnLzGk8aCMCDfLyspdyZIYphNHR8eMDkFkcpbWFvy6YR7HD56ib9vBPH74hFyuzjx7+jxJXS+fyhQtWYSIe5EZEKlIDyZWZrRfN5rwwyH82fFHXj6KxsbFgZjol5o6cz17ab0nb9Xi1JvWldDNx9I7XJEOzK3NmbJ+GucPn2V8h7E8fRSFo4sTL6JfaNU7sfs4cwfN1ryOfx2fzpGKz9lHdSX36dOHuXPnJin/+eefP9ilmlWp1WqGDBmCra0tjo6OjB07Vmv9u13Jhw4dokSJEpiYmODp6UlgYCAqlYrTp09rve/EiRN4enpiZmZGhQoVCA0NTTGG169f07t3b5ycnDAxMcHV1RU/Pz/N+qioKLp3746DgwMmJiZ89dVXbNq0SWsb27Ztw93dHQsLC3x8fLh3757WMY4fP55cuXJhbGxMiRIl2Lp1q9b7z507R/Xq1TE1NcXOzo7u3bvz/HnSxEYk1bFXWx7cjWB8fz8unA7h3u37BB84wZ2bd7Xq5XDMzpBJ/RjVazzx8XLDz6rKfdeAZ/ce88/gRdw7c52ntx9y8+AFosIjNHVeRD7VWgrWKsXNwyFE3ZI/GLKiZt99w8N7D5k7aA5Xzlwm4nYEZw+e4f7N+1r14l7HERUZpVmeJ/PHpfhvFLUqTZbM6KMSw3Xr1lGxYsUk5RUqVGDt2rX/OajP0dKlSzE3N+fo0aNMmzaN8ePHs2PHjmTrPnv2jAYNGuDh4cHJkyeZMGECQ4cOTbbuiBEjmDFjBsePH8fAwIDOnTunGMPcuXPZsGEDq1evJjQ0lOXLl+Pq6gq8Serq1KnDoUOHWL58ORcvXmTKlCno6+tr3v/y5UumT5/O77//zr59+wgPD2fQoH+7H+bMmcOMGTOYPn06Z8+exdvbm4YNG3LlyhXN+318fMiWLRvBwcGsWbOGoKAgevfurevp/CJV8a5EyJlQpiwaz/ZzG1ix/Vcat22gVUelUjH+p5H8Pn8l1y+HZUygIl0UqFWKe2ev03je9/Q58QudNk+keKuqKdY3y25FvuolOPPnnnSLUaSvMrXKcu3sFYbMH8bSk8uZtXkOtVp7J6n3VTkPlp5czrw9C+k19Xus7awzINqsTVGnzZIZfVRX8qNHj7C2TnqhWVlZ8fDhw/8c1OeoWLFijBkzBoACBQrw888/s3PnTmrVqpWk7ooVK1CpVCxevBgTExOKFCnCnTt36NatW5K6kyZNwsvLC4Bhw4ZRr149YmJiMDExSVI3PDycAgUKUKlSJVQqFS4uLpp1QUFBHDt2jJCQEAoWLAhA3rx5td4fFxfHggULyJcvHwC9e/dm/PjxmvXTp09n6NChtGrVCoCpU6eye/duZs+ezS+//MKKFSt49eoVy5Ytw9zcHHjTitygQQOmTp2Kg4ND6k/oF8g5jxPNOjRixaLV+M/9naIl3Rk0oS9xr1/zz5ptAHTs3ZaEhARWLfky/wD7ktjkzkGpdjU4tmQrh3/ZgFPxfNQa14GE1/GcX38gSX2PZpV5/SKG0K3HMyBakR4ccjvi064ufy8JZM3PqylYoiDdxnUn/nUcu9ftAuDknhMc/OcAkbcjccjjQJuB7ZiwajID6vWVLmWRKh+VGObPn5+tW7cmaQnasmVLkmTjS1GsWDGt105OTkRERCRbNzQ0lGLFimkld2XKlPngdp2cnACIiIggT548Ser6+vpSq1YtChUqhI+PD/Xr16d27doAnD59mly5cmmSwuSYmZlpksJ3jyE6Opq7d+8maSmuWLEiZ86cASAkJITixYtrksLE9Wq1mtDQ0FQlhrGxscTGxmqVqRU1eqqsP4FeT0+Pi2cuMc9vEQCh56+Qt6AbzTo05p812yhcrCCtun5Du9pdMjhSkR5UenrcO3edvT+uBuDBhZvkKOhMqfY1kk0Mi7fw4kLgIRJi49I7VJFOVHoqrp29yvJpywC4ceE6eQrmwaddXU1ieGDjfk398Ms3uXr2CosP/YZn9dIc2Xo4Q+LOipRMOqM4LXzUb9sBAwYwZMgQxowZw969e9m7dy+jR49m2LBh9O/fP61j/CwYGhpqvVapVKjVybcTK4qCSqVKUvah7Sa+J6XtlipVihs3bjBhwgRevXpFixYt+OabbwAwNTX9qGN4N67k4k4sS+64UnpfSvz8/LC2ttZa7j+/lar3fu4eRjzixuWbWmU3rtzE0flNQl2ybHFss2dj0/G1HLm1myO3dpMztxP9xvRiw7HVGRGy+ISeR0Tx8Ir2+NKHV+9ildMuSd1cpQthlz8nZ1btSafoREZ4EvGEW1fCtcpuXblFDucc731P5J1Icrrl/NThfVGkK/kdnTt3JjY2lkmTJjFhwgQAXF1dmT9/Ph06dEjTALOiwoULs2LFCmJjYzE2Ngbg+PG06f6xsrKiZcuWtGzZkm+++QYfHx8eP35MsWLFuH37NpcvX35vq+H7tpszZ04OHDhAlSpVNOWHDh3StHYWKVKEpUuX8uLFC02r4cGDB9HT00v1PocPH86AAQO0yqoWrKNzvJ+jM8fO4ZI/t1aZS77c3Lv9ZmD55rXbOLZP+zr5aeUMNq/dxsY/N6dbnCJ93D5xGbu8Tlpltm6OPL2TdLhO8ZZe3Dt7nYiQ8CTrRNYRcvwiOfPl0ipzzutM5O3ke6cALG0sye6UnScRTz51eCKL+Oj+ue+++47bt2/z4MEDoqOjuX79uiSFqdSmTRvUajXdu3cnJCSEbdu2MX36dCD1LWvJmTVrFqtWreLSpUtcvnyZNWvW4OjoiI2NDV5eXlSpUoVmzZqxY8cObty4wZYtW5LMKn6fwYMHM3XqVP78809CQ0MZNmwYp0+fpm/fvgC0bdsWExMTOnbsyPnz59m9ezfff/897du3T/X4QmNjY6ysrLSWL6EbGeCPRavxKFWUTn3ak8vVGe8mNWnSrgFrAv4C4OmTaK6F3tBa4uPjeRT5mJvXvoxW1S9J8JKt5CyZj/K9GpLNxYEijcpTok01Ti4L0qpnZGFK4XplpLXwC7Bhyd8UKlmIb3o1x9HFiSqNvKjdxofNy948s9LEzATfEZ0pVKow9rns+aqcByN/G030k2jpRk5jWXlW8n9+jmGOHCk3YYvkWVlZsXHjRr777jtKlCiBh4cHo0ePpk2bNslOKkktCwsLpk6dypUrV9DX16d06dJs3rwZPb03idW6desYNGgQrVu35sWLF+TPn58pU6akevt9+vQhOjqagQMHEhERQZEiRdiwYQMFChQA3oxR3LZtG3379qV06dKYmZnRrFkzZs6c+dHH9CW5eOYSgzqPoPcP3enavyN3b91jxuif2Lo++dntImu7d/Y667vPxmtoSyr1aUzU7UiCxi3nQuAhrXpFGpRDpVJxcYP84s/qrp69gl/3SbQf2pGWfVvz4NYDloxbzN7APQCoE9S4FnalWrPqmFuZ8yTiCecOn+XHXlN59eJVxgafxaQw+itLUCkpDW57Dzc3t/e2bF2/fv0/BfUlWrFiBZ06deLp06epGg/4JfF0qpzRIYhMpJmRy4criS/GESUqo0MQmczf4Zs+XOk/ulmq5ocrpYLLyaAPV0pnH9Vi+O5DrOPi4jh16hRbt25l8ODBaRFXlrds2TLy5s2Ls7MzZ86cYejQobRo0UKSQiGEEEJkmI9KDBPHlL3rl19+SbNJFFnd/fv3GT16NPfv38fJyYnmzZszadKkjA5LCCGEEB+QWccHpoWP6kpOyfXr1ylRogTR0dFptUkhpCtZaJGuZPE26UoW70qPruQbxZN+ecXHcDuT+caQp+l0z7Vr12Jra5uWmxRCCCGEEOnko7qSS5YsqTX5RFEU7t+/T2RkJPPmzUuz4IQQQgghMpus3JX8UYlh48aNtV7r6emRI0cOqlatSuHChdMiLiGEEEKITCkrfyXeRyWGY8aMSes4hBBCCCFEBkv1GMPo6OhUL0IIIYQQWVVGfFeyq6srKpUqydKrV683MSkKY8eOJWfOnJiamlK1alUuXLig87GlusXQxsYm1V/XlpCQoHMgQgghhBCfA3UGdCUHBwdr5Vfnz5+nVq1aNG/eHIBp06Yxc+ZMAgICKFiwIBMnTqRWrVqEhoZiaWmZ6v2kOjHcvXu35t9hYWEMGzYMX19fypcvD8Dhw4dZunQpfn5+qd65EEIIIYT4sHe/gnjKlCnky5cPLy8vFEVh9uzZjBgxgqZNmwKwdOlSHBwc+OOPP/j2229TvZ9UJ4ZeXl6af48fP56ZM2fSunVrTVnDhg3x8PBg0aJFdOzYMdUBCCGEEEJ8TtJq8klsbCyxsbFaZcbGxhgbG7/3fa9fv2b58uUMGDAAlUrF9evXuX//PrVr19bajpeXF4cOHdIpMfyo5xgePnwYT0/PJOWenp4cO3bsYzYphBBCCPFZUNSqNFn8/PywtrbWWlLT8xoYGEhUVBS+vr7Am29TA3BwcNCq5+DgoFmXWh+VGObOnZsFCxYkKV+4cCG5c+f+mE0KIYQQQnwWFCVtluHDh/P06VOtZfjw4R/c/6+//kqdOnXImTOnVvm7c0EURUn1/JBEH/W4mlmzZtGsWTO2bdtGuXLlADhy5AjXrl1j3bp1H7NJIYQQQogvSmq6jd918+ZNgoKCWL9+vabM0dEReNNy6OTkpCmPiIhI0or4IR/VYli3bl2uXLlCw4YNefz4MY8ePaJRo0ZcvnyZunXrfswmhRBCCCE+C2nVlfwx/P39sbe3p169epoyNzc3HB0d2bHj3+9efv36NXv37qVChQo6bf+jWgwBcuXKxeTJkz/27UIIIYQQn6WMeFwNgFqtxt/fn44dO2Jg8G8Kp1Kp6NevH5MnT6ZAgQIUKFCAyZMnY2ZmRps2bXTah04thtOmTePVq1ea1/v27dOaTfPs2TN69uypUwBCCCGEEOLDgoKCCA8Pp3PnzknWDRkyhH79+tGzZ088PT25c+cO27dv1+kZhgAqRVGU1FbW19fn3r172NvbA2BlZcXp06fJmzcvAA8ePCBnzpzygGuRpjydKmd0CCITaWbkktEhiEzkiBKV0SGITObv8E2ffB/n3BqkyXY8bmxMk+2kJZ26kt/NIXXIKYUQQgghsoSsnP581OQTIYQQQgiR9Xz05BMhhBBCiC9RRk0+SQ86J4ZLlizBwsICgPj4eAICAsiePTvwZvKJEEIIIURWllZfiZcZ6ZQY5smTh8WLF2teOzo68vvvvyepI4QQQgghPj86JYZhYWGfKAwhhBBCiM+DTD55x7Jly7SeX5jo9evXLFu27D8HJYQQQgiRWakVVZosmZFOzzFM9O7zDBM9evQIe3t7eY6hSFPPBzfJ6BBEJmL03Ye/YF58OVRW2TM6BJHJGGbP+8n3EeycNr+XSt/5K022k5Y+qsVQURRUqqSZ7u3bt7G2tv7PQQkhhBBCiPSn0xjDkiVLolKpUKlU1KhRQ+t7+hISErhx4wY+Pj5pHqQQQgghRGaRWbuB04JOiWHjxo0BOH36NN7e3prH1gAYGRnh6upKs2bN0jRAIYQQQojMJAvPPdEtMRwzZgwArq6utGzZEhMTk08SlBBCCCGESH8f9c0nHTt2BN7MQo6IiECtVmutl2cZCiGEECKrkq7kd1y5coXOnTtz6NAhrfLESSkyK1kIIYQQWZV888k7fH19MTAwYNOmTTg5OSU7Q1kIIYQQQnxePioxPH36NCdOnKBw4cJpHY8QQgghRKam/nCVz9ZHJYZFihTh4cOHaR2LEEIIIUSmp5B1e0o/6gHXU6dOZciQIezZs4dHjx4RHR2ttQghhBBCiM/PR7UY1qxZE4AaNWpolcvkEyGEEEJkdeos/CDDj0oMd+/endZxCCGEEEJ8FtRZuCv5oxJDLy+vtI5DCCGEEOKzIGMMk7F//37atWtHhQoVuHPnDgC///47Bw4cSLPghBBCCCFE+vmoxHDdunV4e3tjamrKyZMniY2NBeDZs2dMnjw5TQMUQgghhMhM1Gm0ZEYflRhOnDiRBQsWsHjxYgwNDTXlFSpU4OTJk2kWnBBCCCFEZqOgSpMlM/qoxDA0NJQqVaokKbeysiIqKuq/xiSEEEIIITLARyWGTk5OXL16NUn5gQMHyJs3738OSgghhBAis5Ku5Hd8++239O3bl6NHj6JSqbh79y4rVqxg0KBB9OzZM61jFEIIIYTINLJyYvhRj6sZMmQIT58+pVq1asTExFClShWMjY0ZNGgQvXv3TusYhRBCCCFEOtA5MUxISODAgQMMHDiQESNGcPHiRdRqNUWKFMHCwuJTxCiEEEIIkWlk1okjaUHnxFBfXx9vb29CQkKwtbXF09PzU8QlhBBCCJEpqbNuXvhxYww9PDy4fv16WscihBBCCCEy0EclhpMmTWLQoEFs2rSJe/fuER0drbUIIYQQQmRValRpsmRGHzX5xMfHB4CGDRuiUv17YIqioFKpSEhISJvohM4CAgLo16+fPE9SCCGE+ESUjA7gE/qoxHD37t1pHcdnY+zYsQQGBnL69Ok02Z6vry+urq6MHTs2TbYnPl9mwxeiZ2ufpPz1oS28/vtXjHzaoF/4a/TsHFBevSTh6hleb/4dJfpJBkQr0oN3x/7cjXiYpLxl/RqM7OULwPXwO8z67U+On7uEWlHIn8eZ6T/0xsk+ezpHKz612s06cvd+RJLyVk3rM3JgLwCuhYUza95vHD99DrVaIb9bHmZM+AEnx6T3FvHxMuujZtLCRyWGXl5eaR3HFycuLk7r6wQ/N597/JnRy7mDUen9O7pDzzEPpt3HkXDmIBgZo+ecl7ig1STcC0NlaoFxw86Y+P7Aq7mDMzBq8SmtnDMOtfrfX0FXbt6m+w9T8a5cFoBbdx/QYdBEmnpXoWe7pliYm3Hj1l2MjOSzmRWtWjJH+3q4fpNu/X6gdrXKAITfvkuH7wbRtL43vbq2w8LcnOs3b2FkbJRRIYvP0EeNMUz08uVLLl26xNmzZ7WW9FK1alW+//57+vXrR7Zs2XBwcGDRokW8ePGCTp06YWlpSb58+diyZYvmPQkJCXTp0gU3NzdMTU0pVKgQc+bM0drunj17KFOmDObm5tjY2FCxYkVu3rxJQEAA48aN48yZM6hUKlQqFQEBAQA8ffqU7t27Y29vj5WVFdWrV+fMmTOabY4dO5YSJUrw22+/kTdvXoyNjVGUpI3R8+bNo0CBApiYmODg4MA333zz3nMQEBBAnjx5MDMzo0mTJjx69ChJnY0bN/L1119jYmJC3rx5GTduHPHx8Zr1ly5dolKlSpiYmFCkSBGCgoJQqVQEBgYCEBYWhkqlYvXq1VStWhUTExOWL18OgL+/P+7u7piYmFC4cGHmzZunte87d+7QsmVLsmXLhp2dHY0aNSIsLOy9x/TFehGN8ixKs+i7e6J+eI+E6xcg5iUxi8cRf/YQSuRd1OGXiQ1cgn7u/KhspGUoq7K1sSK7rY1m2Xf0NLmd7PH0KAzA3KVrqFy6OAO6tMY9vyu5neypUqYEdjbWGRy5+BRss9mQ3c5Ws+w9eJTczk6ULukBwNxFS6lcvjQDe3XBvWB+cjs74VWhDHbZbDI28CxIrVKlyZIZfVSLYWRkJJ06ddJKuN6WnmMMly5dypAhQzh27Bh//vkn3333HYGBgTRp0oQffviBWbNm0b59e8LDwzEzM0OtVpMrVy5Wr15N9uzZOXToEN27d8fJyYkWLVoQHx9P48aN6datGytXruT169ccO3YMlUpFy5YtOX/+PFu3biUoKAgAa2trFEWhXr162NrasnnzZqytrVm4cCE1atTg8uXL2NraAnD16lVWr17NunXr0NfXT3Isx48fp0+fPvz+++9UqFCBx48fs3///hSP/ejRo3Tu3JnJkyfTtGlTtm7dypgxY7TqbNu2jXbt2jF37lwqV67MtWvX6N69OwBjxoxBrVbTuHFj8uTJw9GjR3n27BkDBw5Mdn9Dhw5lxowZ+Pv7Y2xszOLFixkzZgw///wzJUuW5NSpU3Tr1g1zc3M6duzIy5cvqVatGpUrV2bfvn0YGBgwceJEfHx8OHv2LEZG8ldsivQNMCzlxet9G1KsojI1Q1GrUV69SMfAREaJi4tn0+6DdGhSB5VKhVqtZl/wGTp9U49vR0zj0rUwnB1z0KVFA2pUkMeIZXVxcXFs2r6bDi2b/Hs9HAqmc9tv6N5/BJcuX8M5pyNd27egRpUKGR1uliNjDN/Rr18/njx5wpEjR6hWrRp//fUXDx48YOLEicyYMSOtY3yv4sWLM3LkSACGDx/OlClTyJ49O926dQNg9OjRzJ8/n7Nnz1KuXDkMDQ0ZN26c5v1ubm4cOnSI1atX06JFC6Kjo3n69Cn169cnX758ALi7u2vqW1hYYGBggKOjo6Zs165dnDt3joiICIyNjQGYPn06gYGBrF27VpOIvX79mt9//50cOXJo3pvY4ggQHh6Oubk59evXx9LSEhcXF0qWLJnisc+ZMwdvb2+GDRsGQMGCBTl06BBbt27V1Jk0aRLDhg2jY8eOAOTNm5cJEyYwZMgQxowZw/bt27l27Rp79uzRHNOkSZOoVatWkv3169ePpk2bal5PmDCBGTNmaMrc3Ny4ePEiCxcupGPHjqxatQo9PT2WLFmimaTk7++PjY0Ne/bsoXbt2kn2ERsbS2xsrFZZXHwCxgZJE+mszKBoGTAxJ/74rhQqGGJUpz3xp/dD7Kv0DU5kiJ2HT/Ds+Usa1XrTbfg4KpqXr2L4bfVGenf8hv6dW3LgxFn6T5zLr1OGU7qY+we2KD5nO/cd5tnz5zSu++Ze/fhJFC9fveLX5av5vltHBnzXmQNHT9Dvh4n89tMUSpcslsERi8/FRyWGu3bt4u+//6Z06dLo6enh4uJCrVq1sLKyws/Pj3r16qV1nCkqVuzfi11fXx87Ozs8PDw0ZQ4ODgBERPw7YHfBggUsWbKEmzdv8urVK16/fk2JEiUAsLW1xdfXF29vb2rVqkXNmjVp0aIFTk5OKcZw4sQJnj9/jp2dnVb5q1evuHbtmua1i4uLVlL4rlq1auHi4kLevHnx8fHBx8eHJk2aYGZmlmz9kJAQmjRpolVWvnx5rcTwxIkTBAcHM2nSJE1ZQkICMTExvHz5ktDQUHLnzq2V6JYpUybZ/b39MPPIyEhu3bpFly5dNEk4QHx8PNbW1pp9X716FUtLS63txMTEaJ2Xt/n5+Wkl7gDDyxfih4pf1i85gzI1SQg9mfzEEj19TNoOBJWK2PUL0z84kSH+2raXSp7FsLfLBoD6/0NRqpb/mg5N6gBQOJ8LZy5eYc3mXZIYZnHrN22jUjlP7HO8+b2jVr+5HqpVLk+HVm9+LxQumI/T5y6yOnCzJIZpTCafvOPFixfY27+Z4WRra0tkZCQFCxbEw8ODkydPpmmAH/LuBAiVSqVVlthSlThgd/Xq1fTv358ZM2ZQvnx5LC0t+fHHHzl69KjmPf7+/vTp04etW7fy559/MnLkSHbs2EG5cuWSjUGtVuPk5MSePXuSrLOxsdH829zc/L3HYmlpycmTJ9mzZw/bt29n9OjRjB07luDgYK3tJEpujGJysY0bN06rpS+RiYmJ5hFDqfF2/Innc/HixZQtW1arXmI3uVqt5uuvv2bFihVJtpVSgjx8+HAGDBigVRY3pl2q4ssqVDY50C9QjJhl05Ku1NPHpP0gVLb2vFo4RloLvxB3HzzkyOnzzBrZV1OWzcoSA3198uXJqVXXLXdOTl28nN4hinR09/4Djhw/zezJIzVl2Wys3lwPrnm06uZ1zc3JsxfTO8QsLyt/88lHJYaFChUiNDQUV1dXSpQowcKFC3F1dWXBggXvbVnLDPbv30+FChXo2bOnpiy51quSJUtSsmRJhg8fTvny5fnjjz8oV64cRkZGScZQlipVivv372NgYICrq+t/is/AwICaNWtSs2ZNxowZg42NDbt27Uo2sStSpAhHjhzRKnv3dalSpQgNDSV//vzJ7q9w4cKEh4fz4MEDTetqcHDwB+N0cHDA2dmZ69ev07Zt22TrlCpVij///FMzISc1jI2NNd3xiZ5/Yd3IhqWrozx/SkLIce0ViUlh9py8WjAKXj7LmABFugvcsQ9bayuqlCmhKTM0NKBoQTfCbt/Xqnvzzn15VE0W99c/O7DNZk2V8v/27hgaGlLUvSA3wm9r1Q27dYec8qgaoYOPmpXcr18/7t27B7yZwLB161by5MnD3LlzmTx5cpoGmNby58/P8ePH2bZtG5cvX2bUqFFaidCNGzcYPnw4hw8f5ubNm2zfvp3Lly9rxhm6urpy48YNTp8+zcOHD4mNjaVmzZqUL1+exo0bs23bNsLCwjh06BAjR47k+PHjKYWSxKZNm5g7dy6nT5/m5s2bLFu2DLVaTaFChZKtn9iqOW3aNC5fvszPP/+s1Y0Mb8ZYLlu2jLFjx3LhwgVCQkI0raDwpvs6X758dOzYkbNnz3Lw4EFGjBgB8MGWxLFjx+Ln58ecOXO4fPky586dw9/fn5kzZwLQtm1bsmfPTqNGjdi/fz83btxg79699O3bl9u3b793218slQqD0tWJP74H3nosBXp6mHQYgl6u/MT+MQuVnh4qSxtUljag/1F/34nPhFqtJnDHPhrWrIzBO5PWOjWrx9Z9R1i7ZTfhdx/wx4Yd7D16ilb1amRQtOJTU6vVBP6zg0Z1amLwzh/Nndo0Y+vOfazdsIXw23f5Y+0G9h48Sqsm6Te860uRlb/5RKfE8OXLl/Tq1YshQ4YwZMgQ2rRpQ+7cuQkLCyM4OJhbt27RsmXLTxVrmujRowdNmzalZcuWlC1blkePHmm1HpqZmXHp0iWaNWtGwYIF6d69O7179+bbb78FoFmzZvj4+FCtWjVy5MjBypUrUalUbN68mSpVqtC5c2cKFixIq1atCAsL07TCpYaNjQ3r16+nevXquLu7s2DBAlauXEnRokWTrV+uXDmWLFnCTz/9RIkSJdi+fbsm4Uvk7e3Npk2b2LFjB6VLl6ZcuXLMnDkTFxcX4E23b2BgIM+fP6d06dJ07dpVsw0TE5P3xtu1a1eWLFlCQEAAHh4eeHl5ERAQgJubm+Zc7tu3jzx58tC0aVPc3d3p3Lkzr169SnUL4pdGv0Ax9LLZExe8U6tcZW2HQdEy6Nlkx2zALMxH+2sWfZfk/3AQWcORUxe4F/GIJrWrJFlXo6Ino3t3wn/tPzT9bjjrt+1h5sg+lPpKroms6nDwKe49iKBJvaST92p6VWT04N78tmItTdp/x7qN25g1aSSlin+VAZFmbUoaLZmRSknNQLX/Gzx4MPPmzaNt27aYmpryxx9/ULVqVdasWfMpYxTp7ODBg1SqVImrV69qZmZnpOeDm3y4kvhiGH03PKNDEJmIykq6zYU2w+x5P/k+ludMm7Hv7e4u16n+nTt3GDp0KFu2bOHVq1cULFiQX3/9la+//hqA58+fM2zYMAIDA3n06BGurq706dOH7777LtX70KkPav369fz666+0atUKeNNVWLFiRRISEpJ9Lp/4PPz1119YWFhQoEABrl69St++falYsWKmSAqFEEKIzCYjJp88efKEihUrUq1aNbZs2YK9vT3Xrl3Tmpzav39/du/ezfLly3F1dWX79u307NmTnDlz0qhRo1TtR6fE8NatW1SuXFnzukyZMhgYGHD37l1y586ty6ZEJvLs2TOGDBnCrVu3yJ49OzVr1kz351EKIYQQn4uMeFzN1KlTyZ07N/7+/pqydye8Hj58mI4dO1K1alUAunfvzsKFCzl+/HiqE0OdxhgmJCQk+bYKAwMDra9XE5+fDh06cOXKFWJiYrh9+zYBAQFJnskohBBCiDfSaoxhbGws0dHRWsu7X/KQaMOGDXh6etK8eXPs7e0pWbIkixcv1qpTqVIlNmzYwJ07d1AUhd27d3P58mW8vb1TfWw6tRgqioKvr6/W40RiYmLo0aOH1jPu1q9fr8tmhRBCCCG+OMl9qcOYMWMYO3ZskrrXr19n/vz5DBgwgB9++IFjx47Rp08fjI2N6dChAwBz586lW7du5MqVCwMDA823j1WqVCnVMemUGCZ+rdrb2rX7sh4+LIQQQogvW1qNMUzuSx3efZavZp9qNZ6enprHApYsWZILFy4wf/58rcTwyJEjbNiwARcXF/bt20fPnj1xcnKiZs2aqYpJp8Tw7X5tIYQQQogvUVqNMUzuSx1S4uTkRJEiRbTK3N3dWbduHfDma3h/+OEH/vrrL81XExcrVozTp08zffr0VCeGH/WAayGEEEIIkX4qVqxIaGioVtnly5c1zyWOi4sjLi4OPT3t1E5fX1/zNbapIV+ZIIQQQgihg4yYldy/f38qVKjA5MmTadGiBceOHWPRokUsWrQIACsrK7y8vBg8eDCmpqa4uLiwd+9eli1bpvlGstSQxFAIIYQQQgdKBjzHsHTp0vz1118MHz6c8ePH4+bmxuzZs2nbtq2mzqpVqxg+fDht27bl8ePHuLi4MGnSJHr06JHq/UhiKIQQQgjxGahfvz7169dPcb2jo+N/ng8iiaEQQgghhA4yois5vUhiKIQQQgihg6ycGMqsZCGEEEIIAUiLoRBCCCGETpSMDuATksRQCCGEEEIHafXNJ5mRJIZCCCGEEDqQMYZCCCGEECLLkxZDIYQQQggdZOUWQ0kMhRBCCCF0kJUnn0hXshBCCCGEAKTFUAghhBBCJzIrWQghhBBCAFl7jKF0JQshhBBCCEBaDIUQQgghdJKVJ59IYiiEEEIIoQN1Fk4NJTEUmd6wNUYZHYLIRFr+Pi2jQxCZSCRyfxDamt7/I6ND+KxJYiiEEEIIoYOsPPlEEkMhhBBCCB1k3Y5kSQyFEEIIIXSSlVsM5XE1QgghhBACkBZDIYQQQgidyDefCCGEEEIIIGs/rka6koUQQgghBCAthkIIIYQQOsm67YWSGAohhBBC6ERmJQshhBBCiCxPWgyFEEIIIXSQlSefSGIohBBCCKGDrJsWSleyEEIIIYT4P2kxFEIIIYTQQVaefCKJoRBCCCGEDmSMoRBCCCGEAGSMoRBCCCGE+AJIi6EQQgghhA5kjKEQQgghhABAycKdydKVLIQQQgghAGkxFEIIIYTQiXQlCyGEEEIIIGs/rka6koUQQgghBCAthkIIIYQQOsm67YXSYvjF8vX1pXHjxprXVatWpV+/fhkWjxBCCPG5UKOkyZIZSYuhEJmItUM2Gg1rS9GqJTA0MSLixj1WDFnArfM3NHUc8jnTeFgb8pctgkpPxb0rt/mt1yye3H2UgZGLT8HI0Ra3ke3IVr0keiZGvLp+lysD5vP87HUADLNb4zaqHTZexTGwMufpkYtcG/ErMTfuZ3Dk4lMxcczGVyNb41C9OPomRjy/fo+TAxYTdfbNPcI4uxVfjWqNvVcxDK3MeHTkEqdHLOWFXBMilSQxFCKTMLUyZ8C68Vw5fJF5vn48exRN9jwOvIp+qamTPY8DA9aO49Cfu/ln9hpeRb/EMb8zcbFxGRi5+BQMrM0pvnEiUQfPc77tJOIePsXUxZH4py80dYoEDEGJS+Ci71QSnr3C+dv6eKwZw4kq/VC/jM3A6MWnYGhtjtfGsTw8eJFDbacR+/Ap5i4OxL11TZQLGIgSF88R3xnEPXtFgW/rUnnNcHZUGUKCXBNpJivPSpau5HesXbsWDw8PTE1NsbOzo2bNmrx48eZDp1arGT9+PLly5cLY2JgSJUqwdetWzXvDwsJQqVSsXr2aypUrY2pqSunSpbl8+TLBwcF4enpiYWGBj48PkZGRWvv19/fH3d0dExMTChcuzLx5894bp1qtZurUqeTPnx9jY2Py5MnDpEmTNOvPnTtH9erVNcfRvXt3nj9/nurz8Pr1a4YMGYKzszPm5uaULVuWPXv2aNVZvHgxuXPnxszMjCZNmjBz5kxsbGy06mzcuJGvv/4aExMT8ubNy7hx44iPj091HF+SWt815MndRywfPJ+bZ67x+HYklw+d52H4A02dBoNbcWH3Kf6esoLbF8J4dCuCC7tP8fxRdAZGLj6FXL0bE3vnEVf6zeP5qavE3ook6sA5Ym6+uR5M8zph5VmIq8MW8fz0NV5du8vVYUvQNzMhR+NKGRy9+BQK9m7AqzuPONFvIU9OXePlrYdEHrjAi5sRAFjkdcTOswCnhv3Gk9PXeX7tHqeG/Ya+mQm5G5fP4OizFiWN/tPVnTt3aNeuHXZ2dpiZmVGiRAlOnDihVSckJISGDRtibW2NpaUl5cqVIzw8PNX7kMTwLffu3aN169Z07tyZkJAQ9uzZQ9OmTVGUNz+8OXPmMGPGDKZPn87Zs2fx9vamYcOGXLlyRWs7Y8aMYeTIkZw8eRIDAwNat27NkCFDmDNnDvv37+fatWuMHj1aU3/x4sWMGDGCSZMmERISwuTJkxk1ahRLly5NMdbhw4czdepURo0axcWLF/njjz9wcHAA4OXLl/j4+JAtWzaCg4NZs2YNQUFB9O7dO9XnolOnThw8eJBVq1Zx9uxZmjdvjo+Pj+ZYDx48SI8ePejbty+nT5+mVq1aWokpwLZt22jXrh19+vTh4sWLLFy4kICAgCT1xBseNT0JP3edzr/0x+/4Iob+M4UKrapr1qtUKopWK0nEjXv0WvYDfscXMShwIsVqe2Zg1OJTsfP25PmZaxRePJCy53+l5I4fcWxbU7NeZWQIgDrmrdZitRolLh7rsoXTO1yRDpy8S/HkzHXKLO5L3fPzqb5jMq5tq2nW6yV7TSgocfHYlS2U3uFmaeo0WnTx5MkTKlasiKGhIVu2bOHixYvMmDFDq0Hm2rVrVKpUicKFC7Nnzx7OnDnDqFGjMDExSfV+VEpi1iM4efIkX3/9NWFhYbi4uCRZ7+zsTK9evfjhhx80ZWXKlKF06dL88ssvhIWF4ebmxpIlS+jSpQsAq1atonXr1uzcuZPq1d/8kp8yZQoBAQFcunQJgDx58jB16lRat26t2e7EiRPZvHkzhw4dShLHs2fPyJEjBz///DNdu3ZNsn7x4sUMHTqUW7duYW5uDsDmzZtp0KABd+/excHBAV9fX6KioggMDATeTD4pUaIEs2fP5tq1axQoUIDbt2+TM2dOzXZr1qxJmTJlmDx5Mq1ateL58+ds2rRJs75du3Zs2rSJqKgoAKpUqUKdOnUYPny4ps7y5csZMmQId+/eTfZnEBsbS2ysdnfHUI/O6Kv0k62flcwK/R2AXUv+4dTmI7gUz0+z0R1Z9cNijq3fh2UOa/yCFxH7MoZNM/7k8uELFPEqQYPBrZjbejxXj4Zk8BGkj5YxCRkdQrqoGPYHALcXbuLhxsNYlsxP3vG+XB2yiIg1e1EZ6ON5+CeenbrK1cELSXgZi/O39XEb2Y4nu09zvvXEDD6C9BGJUUaHkG4ahQUAcHXhFm5vPIJtyXwUG9+BU0N+JXzNflQG+tQ+PJMnp65xavCvxL+MocC3dflqZGse7D7LwdZTMvYA0knT+3988n10dv0mTbbzW9jaVNcdNmwYBw8eZP/+/SnWadWqFYaGhvz+++8fHZO0GL6lePHi1KhRAw8PD5o3b87ixYt58uQJANHR0dy9e5eKFStqvadixYqEhGj/Qi5WrJjm34mteB4eHlplERFvmv4jIyO5desWXbp0wcLCQrNMnDiRa9euJRtnSEgIsbGx1KhRI8X1xYsX1ySFiXGq1WpCQ0M/eB5OnjyJoigULFhQK6a9e/dqYgoNDaVMmTJa73v39YkTJxg/frzWNrp168a9e/d4+fIlyfHz88Pa2lprOfH0y0h4VCo9bp2/wcYfV3H7QhgH/wji0MqdVG5XCwA91ZuP67kdx9n962buXLzJjvl/c2HnSSq1rZWRoYtPQU/F83M3uOn3By/O3+D+7zu4v2InTh1rA6DEJxDSZTqmeZ0oH7qUijdWYF2hKI93nkRRZ+URUF8ulZ4eUefCuOD3J0/P3+TG77u4sWIXbh3ftCQr8Qkc7TIbi7yONAhdTKMbAeSoUIT7O0/LNZHG0qorOTY2lujoaK3l3caRRBs2bMDT05PmzZtjb29PyZIlWbx4sWa9Wq3mn3/+oWDBgnh7e2Nvb0/ZsmU1DUCpJZNP3qKvr8+OHTs4dOgQ27dv56effmLEiBEcPXoUOzs74E133tsURUlSZmhoqPl34rp3y9T//5Am/n/x4sWULVs2STzJMTU1fe9xJBfTu/G8j1qtRl9fnxMnTiSJwcLCIsV9vNv4rFarGTduHE2bNk2yj5SatYcPH86AAQO0yoZ6dP5gzFlBdMQT7l+5o1V2/9odStR5c108fxJNQlw895Kpk9dTug6zmtcRUby8fEur7NWV22Sv9+994vnZ65yqORh9SzP0jAyIexRN8c1+PD+T/B+V4vMWE/GEZ5e1P//PrtzFud6/f5RHnb3Brpo/YGBpip6RAa8fPaPq5vE8OXM9vcPN0tIqzfbz82PcuHFaZWPGjGHs2LFJ6l6/fp358+czYMAAfvjhB44dO0afPn0wNjamQ4cORERE8Pz5c6ZMmcLEiROZOnUqW7dupWnTpuzevRsvL69UxSSJ4TtUKhUVK1akYsWKjB49GhcXF/766y8GDBhAzpw5OXDgAFWqVNHUP3ToUJKWMl04ODjg7OzM9evXadu2bareU6BAAUxNTdm5c2eyXclFihRh6dKlvHjxQtNqePDgQfT09ChYsOAHt1+yZEkSEhKIiIigcuXKydYpXLgwx44d0yo7fvy41utSpUoRGhpK/vz5U3VcAMbGxhgbG2uVfQndyADXT4Rin9dJq8zezYnHd95MVEqIS+Dm2Ws4JFPnyR3tyUzi8xd97BKm+Zy1ykzz5iT29sMkdROevSQBMHFzxLJ4Xm5OXZVOUYr09OjYZSzyaX/+LfI68jKZayL+2SsAzN0cyVY8LxenrkmXGIVukmsMefd3YCK1Wo2npyeTJ08G3vyuvnDhAvPnz6dDhw6ahqZGjRrRv39/AEqUKMGhQ4dYsGCBJIYf4+jRo+zcuZPatWtjb2/P0aNHiYyMxN3dHYDBgwczZswY8uXLR4kSJfD39+f06dOsWLHiP+137Nix9OnTBysrK+rUqUNsbCzHjx/nyZMnSS4YeNPaNnToUIYMGYKRkREVK1YkMjKSCxcu0KVLF9q2bcuYMWPo2LEjY8eOJTIyku+//5727dtrurbfp2DBgrRt25YOHTowY8YMSpYsycOHD9m1axceHh7UrVuX77//nipVqjBz5kwaNGjArl272LJli1Yr4ujRo6lfvz65c+emefPm6OnpcfbsWc6dO8fEiV/G+Cdd7Pp1MwPXjad2z8ac/OcwrsXzU7F1DVYO/7erIGjRRjr/1I+rx0I0Ywy/qvE1c1qNe8+WxefozqJNFN84idx9mhK54RCWJfPj2L4mVwYt1NTJ3qA8cY+iib0diZm7C/kmduLRlmCi9p7JwMjFp3J10Ra8No6lUJ9G3N5whGwl8+HWvjqnBv2qqePcoCyxj6J5efsR1u65KTaxA3e3HCdi77kMjDzrUafR9IzkGkNS4uTkRJEiRbTK3N3dWbduHQDZs2fHwMAg2ToHDhxIdUySGL7FysqKffv2MXv2bKKjo3FxcWHGjBnUqVMHgD59+hAdHc3AgQOJiIigSJEibNiwgQIFCvyn/Xbt2hUzMzN+/PFHhgwZgrm5OR4eHu/9JpJRo0ZhYGDA6NGjuXv3Lk5OTvTo0QMAMzMztm3bRt++fSldujRmZmY0a9aMmTNnpjomf39/Jk6cyMCBA7lz5w52dnaUL1+eunXrAm/GLC5YsIBx48YxcuRIvL296d+/Pz///LNmG97e3mzatInx48czbdo0DA0NKVy4cLKtnALCz15j8bczaDikNXX6NuPRrUjWjV/K8b///UCf3RbMqhGLqd2zMd+M7UTE9bss+W4m149/eOyo+Lw8P32NkM4/4vpDG/IM+IaY8Aiujwogcv2/A8+N7LORd2xHDHNY8zoiiojVewmflfrB7OLz8uT0dY50nkXRH1pSeEATXoRHcnbU79xaf1BTx8TeBo+x7TDJYU1MxBPCVx8gZNb6DIw6a8qIWbsVK1ZMMk/g8uXLmsmyRkZGlC5d+r11UkNmJYs0061bNy5duvTeGVMfo7dryzTdnvi8fSmzkkXqfEmzkkXqpMes5HYuScfOf4zlN1OftAcHB1OhQgXGjRtHixYtOHbsGN26dWPRokWaoWh//fUXLVu25JdffqFatWps3bqVfv36sWfPHipVSt3zTaXFUHy06dOnU6tWLczNzdmyZQtLly794IO5hRBCiM9dRnzPcenSpfnrr78YPnw448ePx83NjdmzZ2vNT2jSpAkLFizAz8+PPn36UKhQIdatW5fqpBCkxVD8By1atGDPnj08e/aMvHnz8v3332u6s9OStBiKt0mLoXibtBiKd6VHi2Frl8Zpsp2VNwPTZDtpSVoMxUdbvXp1RocghBBCiDQkiaEQQgghhA6y8uPCJTEUQgghhNBBRowxTC+SGAohhBBC6EDJwomhfFeyEEIIIYQApMVQCCGEEEInMsZQCCGEEEIAkJWf9CddyUIIIYQQApAWQyGEEEIIncisZCGEEEIIAWTtMYbSlSyEEEIIIQBpMRRCCCGE0ElWfo6hJIZCCCGEEDrIymMMpStZCCGEEEIA0mIohBBCCKGTrPwcQ0kMhRBCCCF0kJVnJUtiKIQQQgihg6w8+UTGGAohhBBCCEBaDIUQQgghdJKVZyVLYiiEEEIIoYOsPPlEupKFEEIIIQQgLYZCCCGEEDqRrmQhhBBCCAFk7VnJkhiKTG/B3QMZHYLIRO46fZ3RIYhM5Piz0IwOQWQyTTM6gM+cJIZCCCGEEDpQZ+HJJ5IYCiGEEELoIOumhTIrWQghhBBC/J+0GAohhBBC6EBmJQshhBBCCEASQyGEEEII8X/yzSdCCCGEECLLkxZDIYQQQggdSFeyEEIIIYQAsvY3n0hXshBCCCGEAKTFUAghhBBCJ1l58okkhkIIIYQQOsjKYwylK1kIIYQQQgDSYiiEEEIIoRPpShZCCCGEEIB0JQshhBBCiC+AtBgKIYQQQuggKz/HUBJDIYQQQggdqLPwGEPpShZCCCGE0IGSRv/p6s6dO7Rr1w47OzvMzMwoUaIEJ06cSLbut99+i0qlYvbs2TrtQ1oMhRBCCCEyuSdPnlCxYkWqVavGli1bsLe359q1a9jY2CSpGxgYyNGjR8mZM6fO+5HEUAghhBBCBxnRlTx16lRy586Nv7+/pszV1TVJvTt37tC7d2+2bdtGvXr1dN6PdCULIYQQQuggrbqSY2NjiY6O1lpiY2OT3eeGDRvw9PSkefPm2NvbU7JkSRYvXqxVR61W0759ewYPHkzRokU/6tgkMRRCCCGEyAB+fn5YW1trLX5+fsnWvX79OvPnz6dAgQJs27aNHj160KdPH5YtW6apM3XqVAwMDOjTp89HxySJYRqoWrUq/fr1e28dlUpFYGBgqre5Z88eVCoVUVFR/ym21AoICEh2nEJa8/X1pXHjxp98P0IIIcSnolaUNFmGDx/O06dPtZbhw4cnv0+1mlKlSjF58mRKlizJt99+S7du3Zg/fz4AJ06cYM6cOQQEBKBSqT762CQxTCf37t2jTp06GR2GyORy5nRkacBcHtw7T3TUVY4Hb6dUSQ/N+tGjBnD+3F6ePrlC5IMLbNuyijKlS2ZgxOJTsnWwpe/sASw9vZyVl9YwY/Ns8n6VT6uOc/5cDF8ygt/PrWTFhVVM+etHsufMnkERi0/Nwcme2Qv8OHN1P6G3j7Fl7xo8ihdJtq7fzNGEPz5Hlx7t0jnKrC+tupKNjY2xsrLSWoyNjZPdp5OTE0WKaP+s3d3dCQ8PB2D//v1ERESQJ08eDAwMMDAw4ObNmwwcODDZsYgpkckn6cTR0TGjQxCZnI2NNfv2BLJn7yHqN2hHRORD8uV1JepptKbO5SvX6dt3JNdv3MTU1IS+fbqxZfMfFHKvyMOHjzMwepHWzK3MmbxuKucPn2NCx3E8ffQURxdHXkS/0NRxyOPI5LVTCPoziFWzVvIy+gW5CuQmLjYuAyMXn4q1tRXrtyzj8IFgOrT4jkeRj3Fxy030W/eIRLXrVqfE1x7cv/sgAyIVn0LFihUJDQ3VKrt8+TIuLi4AtG/fnpo1a2qt9/b2pn379nTq1CnV+8nULYZr167Fw8MDU1NT7OzsqFmzJi9evLkpqtVqxo8fT65cuTA2NqZEiRJs3bpV896wsDBUKhWrV6+mcuXKmJqaUrp0aS5fvkxwcDCenp5YWFjg4+NDZGSk1n79/f1xd3fHxMSEwoULM2/evA/GqlarGTJkCLa2tjg6OjJ27Fit9e92JR86dIgSJUpgYmKCp6cngYGBqFQqTp8+rfW+EydO4OnpiZmZGRUqVEhyUbzt9evX9O7dGycnJ0xMTHB1ddUaqxAVFUX37t1xcHDAxMSEr776ik2bNmltY9u2bbi7u2vOzb1797SO8X3nHODcuXNUr15d8zPr3r07z58//+D5EzBkcE9u375L124DCD5+mps3b7Nr9wGuX7+pqbNqVSA7d+3nxo1wLl68zKDB47C2tqKYR/ItBuLz1eS7Zjy895CfB8/l6pkrRN6O4NzBszwIv6+p03ZwO07sPsHvfgHcuHCdB7cecGLXcZ4+epqBkYtP5bu+nbl35z6Deo/izMnz3L51l4P7jnIz7LZWPQcneyZM+4G+3w4jLj4+g6LN2tKqK1kX/fv358iRI0yePJmrV6/yxx9/sGjRInr16gWAnZ0dX331ldZiaGiIo6MjhQoVSvV+Mm1ieO/ePVq3bk3nzp0JCQlhz549NG3aFOX/J3LOnDnMmDGD6dOnc/bsWby9vWnYsCFXrlzR2s6YMWMYOXIkJ0+exMDAgNatWzNkyBDmzJnD/v37uXbtGqNHj9bUX7x4MSNGjGDSpEmEhIQwefJkRo0axdKlS98b79KlSzE3N+fo0aNMmzaN8ePHs2PHjmTrPnv2jAYNGuDh4cHJkyeZMGECQ4cOTbbuiBEjmDFjBsePH8fAwIDOnTunGMPcuXPZsGEDq1evJjQ0lOXLl2uaj9VqNXXq1OHQoUMsX76cixcvMmXKFPT19TXvf/nyJdOnT+f3339n3759hIeHM2jQIM36D53zly9f4uPjQ7Zs2QgODmbNmjUEBQXRu3fv95478Ub9+rU5ceIsq1Yu5O7tMwQf20aXzm1SrG9oaEi3rm2JinrKmbMX0jFSkR5K1yrDtbNXGTRvKP4nljF982xqtqqtWf+/9u48rKpq/QP494BwGA8yKLPIPCiICPRTMCRF9GpZGiqWF4v0qiV0y9kSUHEgVMoJxStq4pCKXinDKTDCRDCOAyIoyEUUhYxETRnf3x/Gzs1MqSC9n+c5T+21115r7X3W2edlrb2OEokE/V5xRfG1m/h0eyhiz27H8oOfwX3oS+3XaPZM+QwfhPPyS9gQuxI/5STjcPJX8P/nGFEeiUSCqA1LsXFNLHIv57VTSzu/9viBazc3Nxw4cAC7du1C7969sXjxYkRFReGtt956qufWYaeSi4uLUV1djdGjRwvDpI6OfzxrFRkZiTlz5mD8+PEAHq/ESUpKQlRUFNatWyfkmzlzJnx9fQEAwcHB8Pf3x4kTJ+Dh4QEACAwMxNatW4X8ixcvxsqVKzF69GgAgLm5OS5duoSNGzciICCgyfY6OTkhJCQEAGBtbY21a9fixIkT8PHxaZA3Li4OEokEMTExUFFRgYODA27cuIHJkyc3yBseHg4vLy8AwNy5czFixAg8evQIKioqDfIWFhbC2toanp6ekEgkwnUDgOPHj+PMmTPIzs6GjY0NAMDCwkJ0fFVVFaKjo2Fp+fgZpg8++ACLFi0S9rd0zePi4vDw4UNs374d6urqAIC1a9fi1VdfxYoVK6Cvr9/k9atTUVHRYKk+Ef2lB2lfFBbmPfCvf01E1OcxWL7iC7i59kXU6kWoqKzEjh37hHwj/jEEcTvWQ01NFcXFtzFsuD/u3Clrx5azZ0Hf1AC+bw9Hwub/Yv+6vbDuY43AsMmorqxCcnwStPS0oKqhhjemjcHOyB34cvk29PVyweyN87Bw/AJcSuM/FjobUzMTvP3OWGxevx1rV8XA2cURYcvmorKiEvv3JAAApge/i5qaGmzZGNfOrWXPwsiRIzFy5MhW5y8oKGhzHR02MOzTpw8GDx4MR0dH+Pr6YujQoXjzzTehra2N8vJy3Lx5Uwju6nh4eODcuXOiNCcnJ+H/6wKTJwNMfX19lJSUAABKS0tx/fp1BAYGioK06upqaGlpNdveJ+sBHj8kWldufTk5OXBychIFd+7u7i2Wa2hoCADCw6X1TZo0CT4+PrC1tcWwYcMwcuRIDB36eIRBLpfDxMRECAobo6amJgSF9c+hNdc8Ozsbffr0EYLCuv21tbXIyclpVWC4bNkyhIWFidIkChqQKMpaPPZFp6CggLNnz+OTT5cDAOTyLDg42GDqlH+KAsOk5FT0cxsKPV0dBAZOwK6d0RjgORKlpXfaq+nsGZAoSJB34SriPvsSAHAtKx+mNj3gO3E4kuOTIJE8nvA5cywNX//nEACg4NI12PWzg+9bwzkw7IQUFBRwXp6FiCVfAACyLlyGjZ0l3n53HPbvSYBjHwe886+3McJ7bDu3tPMjqm3vJjwzHXYqWVFREceOHcO3334LBwcHrFmzBra2trh27ZqQp/4oUmMjS0pKSg3y10+rrX38Btf9NyYmBnK5XHhdvHgRp0+fbra9T5ZZv9z6GmsnNfGsQWPtb6pcFxcXXLt2DYsXL8bDhw8xduxYvPnmmwAAVVXVZtvf1DnUb1dz17y5kb3Wjvg1tnRfoqDZqmNfdMXFJbiUnStKu3z5KkxNxf+k0W+/PUReXgHSzvyEKf+aierqGrz7jv/zbCp7Dn4tKUPRleuitKKrRdAz6gYAuFdWjuqq6kbzdDPu9tzayZ6fktuluJIjnh6+kpsPY+PHixvd+7tAr5sOfjx/FPklmcgvyYRpD2N8sngmUuWJjRXJ/qRa0FN5dUQdNjAEHgcTHh4eCAsLQ2ZmJpSVlXHgwAHIZDIYGRnhhx9+EOU/deoU7O3t/3R9+vr6MDY2Rn5+PqysrEQvc3Pzv3o6Ajs7O5w/f140ZZqRkfFUypbJZBg3bhxiYmKwZ88e7N+/H7/88gucnJxQVFSE3NzclgtpotyWrrmDgwPkcrmwQAgAUlNToaCg0OxI5ZMaW7r/d5hGBoBTP6bD1kb8UyQ21hYoLLzR7HESCSCVKj/LprF2kH02G0YWxqI0I3MjlN54PIpfXVWNq+evNJqn5EbjsxXsxZaRJoelVU9RmoVVTxQVPV4kuH9PAoYOHINhXn7C69bN29i4Zismvjm1HVrceRHRU3l1RB12KjktLQ0nTpzA0KFD0b17d6SlpaG0tFQIQmbNmoWQkBBYWlrC2dkZsbGxkMvliIv7a89VhIaGIigoCDKZDMOHD0dFRQUyMjJQVlaGjz766GmcGiZMmIAFCxZgypQpmDt3LgoLCxEZGQmg9SNrjVm9ejUMDQ3h7OwMBQUF7N27FwYGBujatSu8vLzw8ssvY8yYMVi1ahWsrKxw+fJlSCQSDBs2rFXlt3TN33rrLYSEhCAgIAChoaEoLS3FjBkzMHHixFZNI//dff55DFK+/y/mzpmBvfsS4ObmjPfeewtTp88GAKipqWL+vGAkJBxF8a3b0NXRxtSpATAxMcS+/V+3UDp70Xy9+b9YGh+BMe/7IfXrH2DtbA2fCb6InvfHM9T/3XgAH62dhUtpWbj44wX0HeQC1yHu+HTc/HZsOXtWNm/YjgOJX+L9f7+Hrw8egbOLIyb8cwzm/vvxs+C/lt3Fr2XiFelV1dUoLfkZ+VcL2qHF7EXUYQNDmUyG77//HlFRUSgvL4eZmRlWrlwp/Eh0UFAQysvL8fHHH6OkpAQODg44dOgQrK2t/1K97733HtTU1PDZZ59h9uzZUFdXh6OjY4v/sklbyGQyJCQkYNq0aXB2doajoyMWLlyICRMmNLqopLU0NDSwYsUKXLlyBYqKinBzc8Phw4ehoPB4YHj//v2YOXMm/P398eDBA1hZWWH58uWtLr+la66mpoYjR44gODgYbm5uUFNTEwJR1rKMs+fwpt97WLJkLj5Z8CGuFVzHRx+HYNeuAwCAmppa2NpaYuLbm6Cnp4M7d8qQcfYcBnmPxqVLf24kmHVcV89fxYopS/H2nH/CL2gcSopuY0vYZnx/8KSQJ+3IaWxcsAGjp7+JwLDJuJl3AxFTl+NyRnY7tpw9K+czszBl4oeYs/BDBM+aiuuFNxC2IAIH933T3k372+mo08BPg4Q66ljm30xcXBzeeecd3L17t1XPA/6ddFE2bjkT+9t4zbBfezeBdSAZ9661nIn9rRT+cuGZ12Gs3euplHOjrOMtEuuwI4ad3fbt22FhYQFjY2OcO3cOc+bMwdixYzkoZIwxxli74cCwndy6dQsLFy7ErVu3YGhoCD8/P4SHh7d3sxhjjDHWgrb+qyUvEp5KZh0eTyWzJ/FUMnsSTyWz+p7HVLJB1z//CyhPuvVrx3seuEP/XA1jjDHGGHt+eCqZMcYYY6wNOvNkKweGjDHGGGNt0Jl/roankhljjDHGGAAeMWSMMcYYaxOeSmaMMcYYYwA698/VcGDIGGOMMdYGnXnEkJ8xZIwxxhhjAHjEkDHGGGOsTTrzqmQODBljjDHG2oCnkhljjDHGWKfHI4aMMcYYY23Aq5IZY4wxxhgAgDrxM4Y8lcwYY4wxxgDwiCFjjDHGWJvwVDJjjDHGGAPAq5IZY4wxxtjfAI8YMsYYY4y1QWdefMKBIWOMMcZYG3TmqWQODBljjDHG2qAzB4b8jCFjjDHGGAPAI4aMMcYYY23SeccLAQl15vFQxjqJiooKLFu2DPPmzYNUKm3v5rB2xv2B1cd9gj0tHBgy9gIoLy+HlpYW7t69C5lM1t7NYe2M+wOrj/sEe1r4GUPGGGOMMQaAA0PGGGOMMfY7DgwZY4wxxhgADgwZeyFIpVKEhITwQ+UMAPcH1hD3Cfa08OITxhhjjDEGgEcMGWOMMcbY7zgwZIwxxhhjADgwZIwxxhhjv+PAkDHGGGOMAeDAkLF2N2nSJLz++uvt3Qz2nIWGhsLZ2VnY5n7QufXs2RNRUVHN5qnfJxhrDxwYMtaMSZMmQSKRYOrUqQ32TZ8+HRKJBJMmTWpVWQUFBZBIJJDL5W1uR35+Pvz9/WFkZAQVFRWYmJhg1KhRyM3NbXNZTKzuPZZIJOjSpQt69OiBadOmoays7Lm24/PPP8fWrVuferlJSUnw9vaGjo4O1NTUYG1tjYCAAFRXVz/1ujqb6OhoaGpqiq7V/fv3oaSkhIEDB4rypqSkQCKRNPmZTE9Px5QpU4RtiUSCgwcPivLMnDkTJ06ceHon8LvMzEyMHDkS3bt3h4qKCnr27Ilx48bh559/fup1sRcfB4aMtcDU1BS7d+/Gw4cPhbRHjx5h165d6NGjxzOvv7KyEj4+PigvL0d8fDxycnKwZ88e9O7dG3fv3n1m9VZVVT2zsjuaYcOGobi4GAUFBdi8eTMSEhIwffr059oGLS0tdO3a9amWmZWVheHDh8PNzQ3ff/89Lly4gDVr1kBJSQm1tbVPta46RNRpgk5vb2/cv38fGRkZQlpKSgoMDAyQnp6O3377TUhPTk6GkZERbGxsRGVUVlYCALp16wY1NbVm69PQ0ICuru5TPAOgpKQEQ4YMgZ6eHo4cOYLs7Gxs2bIFhoaGovY/bX+n+0dnw4EhYy1wcXFBjx49EB8fL6TFx8fD1NQUffv2FdISExPh6emJrl27QldXFyNHjkReXp6w39zcHADQt29fSCQSDBo0SFRPZGQkDA0Noauri/fff1+4sV66dAn5+flYv349/u///g9mZmbw8PBAeHg43NzchOOLioowfvx46OjoQF1dHa6urkhLSxP2b9iwAZaWllBWVoatrS2+/PJLUf0SiQTR0dEYNWoU1NXVsWTJEgBAQkIC+vXrBxUVFVhYWCAsLKzTfPHXkUqlMDAwgImJCYYOHYpx48bh6NGjwv7Y2FjY29tDRUUFdnZ2WL9+vej4OXPmwMbGBmpqarCwsMCnn37a4Itx+fLl0NfXh6amJgIDA/Ho0SPR/vpTyYMGDUJQUBBmz54NHR0dGBgYIDQ0VHTM5cuX4enpCRUVFTg4OOD48eOikahjx47B0NAQERER6N27NywtLTFs2DBs3rwZysrKQjmpqanw8vKCmpoatLW14evrK4yYVlRUICgoSBht8vT0RHp6unBscnIyJBIJjhw5AldXV0ilUqSkpICIEBERAQsLC6iqqqJPnz7Yt29fm9+b9mRrawsjIyMkJycLacnJyRg1ahQsLS1x6tQpUbq3t7fwPi5btkwUKD45ldyzZ08AwBtvvAGJRCJsN/V4QVP3BgAoLi7GiBEjoKqqCnNzc+zcuVNU16lTp1BeXo7Nmzejb9++MDc3xyuvvIKoqCjRH7ZZWVkYMWIEZDIZNDU1MXDgQOH+VVtbi0WLFsHExARSqRTOzs5ITEwUjq2bDfnqq68waNAgqKioYMeOHQBa/uywDogYY00KCAigUaNG0apVq2jw4MFC+uDBg2n16tU0atQoCggIICKiffv20f79+yk3N5cyMzPp1VdfJUdHR6qpqSEiojNnzhAAOn78OBUXF9OdO3eEOmQyGU2dOpWys7MpISGB1NTUaNOmTUREVFRURAoKChQZGUnV1dWNtvPevXtkYWFBAwcOpJSUFLpy5Qrt2bOHTp06RURE8fHxpKSkROvWraOcnBxauXIlKSoq0nfffSeUAYC6d+9O//nPfygvL48KCgooMTGRZDIZbd26lfLy8ujo0aPUs2dPCg0NferXur3Uvcd18vLyyMHBgfT19YmIaNOmTWRoaEj79++n/Px82r9/P+no6NDWrVuFYxYvXkypqal07do1OnToEOnr69OKFSuE/Xv27CFlZWWKiYmhy5cv04IFC0hTU5P69OnTZDu8vLxIJpNRaGgo5ebm0rZt20gikdDRo0eJiKimpoZsbW3Jx8eH5HI5paSkkLu7OwGgAwcOEBHRrl27SCqV0smTJ5s8/8zMTJJKpTRt2jSSy+V08eJFWrNmDZWWlhIRUVBQEBkZGdHhw4cpKyuLAgICSFtbW+i/SUlJBICcnJzo6NGjdPXqVfr5559p/vz5ZGdnR4mJiZSXl0exsbEklUopOTn5T71P7WXChAk0dOhQYdvNzY327t1L06ZNo/nz5xMRUUVFBamqqtLmzZspICCANDQ0aOLEiXTx4kW6cOECERGZmZnR6tWriYiopKSEAFBsbCwVFxdTSUkJERGFhIQ06BPN3RuIiIYMGULOzs50+vRpOnv2LHl5eZGqqqpQ148//kgA6KuvvqLa2tpGz7GoqIh0dHRo9OjRlJ6eTjk5ObRlyxa6fPkyERGtWrWKZDIZ7dq1iy5fvkyzZ88mJSUlys3NJSKia9euEQDq2bOn8Dm5ceNGqz47rOPhwJCxZtR9WZeWlpJUKqVr165RQUEBqaioUGlpqSgwrK/u5l/3xVB388zMzGxQh5mZmSjo8/Pzo3Hjxgnba9euJTU1NdLU1CRvb29atGgR5eXlCfs3btxImpqawpd1fQMGDKDJkyeL0vz8/Ogf//iHsA2APvzwQ1GegQMH0tKlS0VpX375JRkaGjZaz4soICCAFBUVSV1dnVRUVAgAAaBVq1YREZGpqSnt3LlTdMzixYupf//+TZYZERFB/fr1E7b79+9PU6dOFeV56aWXWgwMPT09Rce4ubnRnDlziIjo22+/pS5dulBxcbGw/9ixY6LAsLq6miZNmkQAyMDAgF5//XVas2YN3b17VzjG39+fPDw8Gj2P+/fvk5KSEsXFxQlplZWVZGRkRBEREUT0R2B48OBB0XEqKirCHyZ1AgMDyd/fv9G6OqpNmzaRuro6VVVVUXl5OXXp0oVu375Nu3fvpgEDBhAR0cmTJwkA5eXlUUBAAOnr61NFRYWonCcDQyISvU91GgsMm7s3ZGdnEwBKT08X9l+5coUAiOqaP38+denShXR0dGjYsGEUERFBt27dEvbPmzePzM3NqbKystFrYGRkROHh4aI0Nzc3mj59OhH9cW+LiooS5fkznx3W/ngqmbFW0NPTw4gRI7Bt2zbExsZixIgR0NPTE+XJy8vDhAkTYGFhAZlMJkwdFxYWtlh+r169oKioKGwbGhqipKRE2H7//fdx69Yt7NixA/3798fevXvRq1cvHDt2DAAgl8vRt29f6OjoNFp+dnY2PDw8RGkeHh7Izs4Wpbm6uoq2z549i0WLFkFDQ0N4TZ48GcXFxc/0+aTnzdvbG3K5HGlpaZgxYwZ8fX0xY8YMlJaW4vr16wgMDBRdgyVLlogeE9i3bx88PT1hYGAADQ0NfPrpp6L3PTs7G/379xfVWX+7MU5OTqLtJ/tFTk4OTE1NYWBgIOx3d3cX5VdUVERsbCyKiooQEREBIyMjhIeHo1evXiguLgbwuO8MHjy40frz8vJQVVUl6jtKSkpwd3dvtu9cunQJjx49go+Pj+i6bd++XXTdXgTe3t548OAB0tPTkZKSAhsbG3Tv3h1eXl5IT0/HgwcPkJycjB49esDCwgIA4OjoKJqq/yuauzfk5OSgS5cucHFxEfZbWVlBW1tbVEZ4eDhu3bqF6OhoODg4IDo6GnZ2drhw4QKAx31g4MCBUFJSalB/eXk5bt682eb7R2s/O6zj6dLeDWDsRfHuu+/igw8+AACsW7euwf5XX30VpqamiImJgZGREWpra9G7d2/h4fPm1L8hSySSBosDNDU18dprr+G1117DkiVL4OvriyVLlsDHxweqqqot1iGRSETbRNQgTV1dXbRdW1uLsLAwjB49ukF5KioqLdb5olBXV4eVlRUA4IsvvoC3tzfCwsKE9zsmJgYvvfSS6Ji6L+vTp09j/PjxCAsLg6+vL7S0tLB7926sXLnyL7eruX7R2PvXFGNjY0ycOBETJ07EkiVLYGNjg+joaISFhTXbd4hIqLd+enN9p66N33zzDYyNjUX5pFJpq9rcUVhZWcHExARJSUkoKyuDl5cXAMDAwADm5uZITU1FUlISXnnlFeGY+p+jv6KlPtCYxtJ1dXXh5+cHPz8/LFu2DH379kVkZCS2bdv2TO4fdW1s7rPDOiYeMWSslYYNG4bKykpUVlbC19dXtO/OnTvIzs7GJ598gsGDB8Pe3r7Bz53UjSDU1NT85bZIJBLY2dnhwYMHAB6PLMnlcvzyyy+N5re3t8cPP/wgSjt16hTs7e2brcfFxQU5OTmwsrJq8FJQ6Ly3j5CQEERGRqKmpgbGxsbIz89vcP51I8KpqakwMzPDggUL4OrqCmtra/zvf/8TlWdvb4/Tp0+L0upvt5WdnR0KCwtx+/ZtIe3JRSFN0dbWhqGhoajvNPUTKVZWVlBWVhb1naqqKmRkZDTbdxwcHCCVSlFYWNjgupmamrb2FDsMb29vJCcnIzk5WbRozMvLC0eOHMHp06fh7e3dpjKVlJT+8r3Azs4O1dXVyMzMFNKuXr2KX3/9tdnjlJWVYWlpKeoDKSkpja4klslkMDIyavP9Q19fv8XPDuuYeMSQsVZSVFQUpk7q/8Wrra0NXV1dbNq0CYaGhigsLMTcuXNFebp37w5VVVUkJibCxMQEKioq0NLSarFeuVyOkJAQTJw4EQ4ODlBWVsbJkyexZcsWzJkzBwDg7++PpUuXCqshDQ0NkZmZCSMjI/Tv3x+zZs3C2LFj4eLigsGDByMhIQHx8fE4fvx4s3UvXLgQI0eOhKmpKfz8/KCgoIDz58/jwoULwqrlzmjQoEHo1asXli5ditDQUAQFBUEmk2H48OGoqKhARkYGysrK8NFHH8HKygqFhYXYvXs33Nzc8M033+DAgQOi8oKDgxEQEABXV1d4enoiLi4OWVlZwtTjn+Hj4wNLS0sEBAQgIiIC9+7dw4IFCwD8MbqzceNGyOVyvPHGG7C0tMSjR4+wfft2ZGVlYc2aNQCAefPmwdHREdOnT8fUqVOhrKyMpKQk+Pn5QU9PD9OmTcOsWbOgo6ODHj16ICIiAr/99hsCAwObbJumpiZmzpyJf//736itrYWnpyfKy8tx6tQpaGhoICAg4E+fd3vw9vYWVgPXjRgCjwPDadOm4dGjR20ODHv27IkTJ07Aw8MDUqm0wfRva9jZ2WHIkCGYMmUKNmzYACUlJXz88cdQVVUV+sDXX3+N3bt3Y/z48bCxsQERISEhAYcPH0ZsbCwA4IMPPsCaNWswfvx4zJs3D1paWjh9+jTc3d1ha2uLWbNmISQkBJaWlnB2dkZsbCzkcjni4uKabV9Lnx3WQbXf442MdXz1FwTU9+Tik2PHjpG9vT1JpVJycnKi5OTkBg+Yx8TEkKmpKSkoKJCXl1eTdQQHBwv7S0tLKSgoiHr37k0aGhqkqalJjo6OFBkZKax4JiIqKCigMWPGkEwmIzU1NXJ1daW0tDRh//r168nCwoKUlJTIxsaGtm/fLqqzflvrJCYm0oABA0hVVZVkMhm5u7uLVkW+6Jp6j+Pi4khZWZkKCwspLi6OnJ2dSVlZmbS1tenll1+m+Ph4Ie+sWbNIV1eXNDQ0aNy4cbR69WrS0tISlRceHk56enqkoaFBAQEBNHv27BYXnwQHB4vKqL/YKTs7mzw8PEhZWZns7OwoISGBAFBiYiIREf3000/09ttvk7m5OUmlUtLV1aWXX36ZDh06JCo3OTmZBgwYQFKplLp27Uq+vr5UVlZGREQPHz6kGTNmkJ6eHkmlUvLw8KAzZ84Ix9YtPqnLX6e2tpY+//xzsrW1JSUlJerWrRv5+vo2u0K6o6pbXGFnZydKv379OgEgS0tLIa2p/lR/8cmhQ4fIysqKunTpQmZmZkTU+OKT5u4NREQ3b96k4cOHk1QqJTMzM9q5cyd1796doqOjiejxKvvJkyeTjY0NqaqqUteuXcnNzY1iY2NF5Z47d46GDh0qLHIbOHCgsMCtpqaGwsLCyNjYmJSUlKhPnz707bffNrg+9RfWEVGLnx3W8UiImnhIgTHG2AslNTUVnp6euHr1KiwtLdu7OawdFBUVwdTUFMePH29yURFjzeHAkDHGXlAHDhyAhoYGrK2tcfXqVQQHB0NbW7vB82Cs8/ruu+9w//59ODo6ori4GLNnz8aNGzeQm5vb6CpjxlrCzxgyxtgL6t69e5g9ezauX78OPT09DBky5KmshmYvjqqqKsyfPx/5+fnQ1NTEgAEDEBcXx0Eh+9N4xJAxxhhjjAHgn6thjDHGGGO/48CQMcYYY4wB4MCQMcYYY4z9jgNDxhhjjDEGgANDxhhjjDH2Ow4MGWOMMcYYAA4MGWOMMcbY7zgwZIwxxhhjAID/B0zR/v6HeJ2WAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(parentEducate_marks,annot=True)\n",
    "plt.title(\"Relation between students score and parents education\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "63240f20",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                     MathScore  ReadingScore  WritingScore\n",
      "ParentMaritalStatus                                       \n",
      "divorced             66.691197     69.655011     68.799146\n",
      "married              66.657326     69.389575     68.420981\n",
      "single               66.165704     69.157250     68.174440\n",
      "widowed              67.368866     69.651438     68.563452\n"
     ]
    }
   ],
   "source": [
    "parentMarrital_marks=data.groupby('ParentMaritalStatus').agg({ 'MathScore':'mean','ReadingScore':'mean','WritingScore':'mean'})\n",
    "print(parentMarrital_marks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a2507601",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(parentMarrital_marks,annot=True)\n",
    "plt.title(\"Relation between students score and parents marital status\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd29d6ef",
   "metadata": {},
   "source": [
    "# Detecting Outlier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "60c678d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=data,x=\"MathScore\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1dac8c21",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=data,x=\"ReadingScore\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1e12d4c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAggAAAGwCAYAAADMjZ3mAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAdvklEQVR4nO3de5CV5X3A8d+Bhd0FFxIhXJa7qEEDioBp6gUWwmApMU3aYTASIaOdjDYoBqPGS6NjQmBSQ00zDYzEEhuhtBk1Y5yYFBUMlhqRSwRlovESUKDERt1VuS379A/DKccHdN1dOKCfz8zOcN7zvO959jm7e76c95zdQkopBQDAAdqVewIAwNFHIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZCpaumNTU1Ns3bo1ampqolAotOWcAIDDJKUUDQ0NUVtbG+3aHfp5ghYHwtatW6Nfv34t3R0AKKMtW7ZE3759D3l9iwOhpqameANdunRp6WEAgCOovr4++vXrV3wcP5QWB8L+0wpdunQRCABwjHmvlwd4kSIAkBEIAEBGIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZAQCAJARCABARiAAABmBAABkBAIAkBEIAEBGIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZAQCAJARCABARiAAABmBAABkBAIAkBEIAEBGIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZCrKPQHgwy2lFLt27Sr3NNpMSil2794dERGVlZVRKBTKPKOWqaqqOmbnTtsQCEBZ7dq1KyZOnFjuafAODzzwQFRXV5d7GpSRUwwAQMYzCMBR443hX4jU7hj/sbRvb9T8ZmlERDScfkFE+w5lnlDzFZoa47j1/1buaXCUOMa/E4EPktSu4ph6QH1P7TscU59PKvcEOKo4xQAAZAQCAJARCABARiAAABmBAABkBAIAkBEIAEBGIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZAQCAJARCABARiAAABmBAABkBAIAkBEIAEBGIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZAQCAJARCABARiAAABmBAABkBAIAkBEIAEBGIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZAQCAJARCABARiAAABmBAABkBAIAkBEIAEBGIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZAQCAJARCABARiAAABmBAABkBAIAkBEIAEBGIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZAQCAJARCABARiAAABmBAABkBAIAkBEIAEBGIAAAGYEAAGQqyj0Bjl0ppdi1a1dERFRVVUWhUCjzjACOfUfLz1bPINBiu3btiokTJ8bEiROLX8wAtM7R8rNVIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZAQCAJARCABARiAAABmBAABkBAIAkBEIAEBGIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZAQCAJARCABARiAAABmBAABkBAIAkBEIAEBGIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZAQCAJARCABARiAAABmBAABkBAIAkBEIAEBGIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZAQCAJARCABARiAAABmBAABkBAIAkBEIAEBGIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZAQCAJARCABARiAAABmBAABkBAIAkBEIAEBGIAAAGYEAAGQEAgCQEQgAQEYgAAAZgQAAZAQCAJARCABARiAAAJmjLhBWrVoVU6ZMiVWrVrXJuObs15xj3XHHHTFu3Li44447DrnfwcZMmzYt6urqYtq0acVtM2bMiLq6upgxY8Yhx0ycODHq6upi4sSJxW3nn39+1NXVxfnnn1/cNn78+Kirq4vx48cfcr+DHX/ChAlRV1cXEyZMiIiIurq64sehjn2ocQB88FSUewIH2rVrV8ybNy9eeeWVmDdvXowYMSKqqqpaPK45+0XEex7rtddei8WLF0dTU1MsXrw4/uZv/iaqqqpK9hs8eHA25g9/+ENs3rw5IiI2b94czz77bFRWVsbGjRsjImLjxo3xq1/9Khvzv//7v7Fz586IiNi5c2c89thj0bFjx2hoaIiIiIaGhli7dm388Y9/jMbGxoiIaGxsjPnz52f7devWLTv+tm3bYs+ePRERsWfPnrjllltKPt8f//jH0bt375JjP/jgg/HKK6+UjPvJT37ynmsOwLGpkFJKLdmxvr4+unbtGq+//np06dKlTSZzxx13xF133RUppSgUCnHRRRfFxRdf3OJxzdkvpfSex7r88stjw4YNxcunnXZanH766SX7fexjH4sdO3aUjHn66aeLD7IRERUVFdGxY8d46623DjnHioqKkn1a653Ha+vj7/fAAw9EdXV1mx+XD76dO3cWn/FqGHFRRPsOZZ5RK+3bGzVrfxwRx+Dnc8DcfU+Xz4HfE4fjfmju4/dR8wzCSy+9FEuWLIn9vZJSiiVLlsSECROib9++73tcc46/ePHiSCm967GeeOKJkjiIiHjyySdj48aNJfsdGAf7x7xTY2Pjez44t/WD9zuPdzjiIOLtZ2egJUq+dlr2/xXaygHr73u6fA5c+xb+H75NNDsQdu/eHbt37y5erq+vb7NJpJTie9/73iG3f+c734lCodDscc09/r59+971WCml7On3/ZqamprzqX1ofP7zny/3FPggaGqMiI7lnsWHV9P//wfC9/TRYffu3dGpU6ey3HazX6Q4Z86c6Nq1a/GjX79+bTaJzZs3x+rVq7MH7H379sXq1atLzqE3Z1xzj38wBx7r17/+dZuGEAAcK5r9DMJ1110Xs2bNKl6ur69vs0jo379/nHnmmbF27dqSB/H27dvHyJEjo3///u9rXHOPfzAHHqtfv37RpUsXkdAM9957b7NeKArvtGvXrv//32q7o+as54fTAevve7p8DvyeqKysLNs8mv3dWFlZedgmWigUYubMmTF9+vSDbt9/2qC545p7/Pbt20dKqeR0wYHHKhQK8Y1vfCO+9rWvZcds166d0wwHqKqq8oImWu8Q38McIQesv+/po8OhHteOhKPm9yD07ds3LrzwwpIYuPDCC6NPnz4tGtec40+dOjWmTp36rscaNWpUDBs2rORYp512WrZfjx49sjEVFaX9VVFR8Z7nkt65T2sdbA4A8F6OmkCIiJg6dWp069YtIiK6d+8eF154YavGNWe/5hzrm9/8ZrRr9/ZStWvXLm655ZZsv+9///vZmPnz55ccZ/78+bFgwYKSbe98EeT8+fNj7ty5Jdvmzp0b8+bNK9k2b968uPHGG0u2TZkyJdvvYHN4522OGzeu5PIll1ySHfvGG2+MSy+9tGRbc95aCsCx6agKhKqqqpg1a1b07NkzvvrVrx7y/FdzxzVnv+Yc6yMf+UhMnTo12rVrF1OnTo2PfOQj2X49e/bMxpx00kklr5/Yf3no0KERETF06NAYPXp0NuZTn/pU8am96urq+NSnPhUjRoyImpqaiIioqamJESNGxPjx44vPCFRUVMRll12W7XewOYwePTo6dnz7leIdO3aMb3zjGyWf70UXXZQde/z48XHBBReUjJs8eXKz1h2AY89R9YuSOLYc7l/mwYeDX5R0FPGLko4KR8svSjqqnkEAAI4OAgEAyAgEACAjEACAjEAAADICAQDICAQAICMQAICMQAAAMgIBAMgIBAAgIxAAgIxAAAAyAgEAyAgEACAjEACAjEAAADICAQDICAQAICMQAICMQAAAMgIBAMgIBAAgIxAAgIxAAAAyAgEAyAgEACAjEACAjEAAADICAQDICAQAICMQAICMQAAAMgIBAMgIBAAgIxAAgIxAAAAyAgEAyAgEACAjEACAjEAAADICAQDICAQAICMQAICMQAAAMgIBAMgIBAAgIxAAgIxAAAAyAgEAyAgEACAjEACAjEAAADICAQDICAQAICMQAICMQAAAMgIBAMgIBAAgIxAAgIxAAAAyAgEAyAgEACAjEACAjEAAADICAQDICAQAICMQAIBMRbknwLGrqqoqHnjggeK/AWi9o+Vnq0CgxQqFQlRXV5d7GgAfKEfLz1anGACAjEAAADICAQDICAQAICMQAICMQAAAMgIBAMgIBAAgIxAAgIxAAAAyAgEAyAgEACAjEACAjEAAADICAQDICAQAICMQAICMQAAAMgIBAMgIBAAgIxAAgIxAAAAyAgEAyAgEACAjEACAjEAAADICAQDICAQAICMQAICMQAAAMgIBAMgIBAAgIxAAgIxAAAAyAgEAyAgEACAjEACAjEAAADICAQDICAQAICMQAICMQAAAMgIBAMgIBAAgIxAAgIxAAAAyAgEAyAgEACAjEACAjEAAADICAQDICAQAICMQAICMQAAAMgIBAMgIBAAgIxAAgIxAAAAyAgEAyAgEACAjEACAjEAAADICAQDICAQAICMQAICMQAAAMgIBAMgIBAAgIxAAgExFuScAsF+hqTFSuSfRWvv2Hvzfx4BCU2O5p8BRRCAAR43j1v9buafQpmp+s7TcU4AWc4oBAMh4BgEoq6qqqnjggQfKPY02k1KK3bt3R0REZWVlFAqFMs+oZaqqqso9BcpMIABlVSgUorq6utzTaFOdOnUq9xSg1ZxiAAAyAgEAyAgEACAjEACAjEAAADICAQDICAQAICMQAICMQAAAMgIBAMgIBAAgIxAAgIxAAAAyAgEAyAgEACAjEACAjEAAADICAQDICAQAICMQAICMQAAAMgIBAMgIBAAgIxAAgIxAAAAyAgEAyAgEACAjEACAjEAAADICAQDICAQAICMQAICMQAAAMhUt3TGlFBER9fX1bTYZAODw2v+4vf9x/FBaHAgNDQ0REdGvX7+WHgIAKJOGhobo2rXrIa8vpPdKiENoamqKrVu3Rk1NTRQKhaivr49+/frFli1bokuXLi2eMO+PdT/yrHl5WPfysO7lcTjXPaUUDQ0NUVtbG+3aHfqVBi1+BqFdu3bRt2/fbHuXLl18EZWBdT/yrHl5WPfysO7lcbjW/d2eOdjPixQBgIxAAAAybRYIlZWVcdNNN0VlZWVbHZJmsO5HnjUvD+teHta9PI6GdW/xixQBgA8upxgAgIxAAAAyAgEAyAgEACDTJoHwgx/8IAYNGhRVVVUxcuTIWLlyZVsclj+ZM2dOnHnmmVFTUxM9evSIz33uc/Hb3/62ZExKKW6++eaora2N6urqqKuri6eeeqpMM/7gmTNnThQKhbjyyiuL26z54fPyyy/HF7/4xejWrVt06tQphg8fHmvWrCleb+3bXmNjY9x4440xaNCgqK6ujhNOOCFuueWWaGpqKo6x7q33q1/9Ks4///yora2NQqEQP/3pT0uub84a7969Oy6//PLo3r17dO7cOT772c/GSy+91PaTTa20dOnS1KFDh7Rw4cL09NNPp5kzZ6bOnTun3//+9609NH9y3nnnpUWLFqWNGzem9evXp0mTJqX+/funN954ozhm7ty5qaamJt19991pw4YNacqUKal3796pvr6+jDP/YHj88cfTwIED02mnnZZmzpxZ3G7ND48//vGPacCAAelLX/pS+vWvf51eeOGF9OCDD6bf/e53xTHWvu1961vfSt26dUv3339/euGFF9JPfvKTdNxxx6XbbrutOMa6t97Pf/7zdMMNN6S77747RUS69957S65vzhpfeumlqU+fPmnZsmVp7dq1aezYsen0009PjY2NbTrXVgfCJz/5yXTppZeWbBsyZEj6+te/3tpDcwg7duxIEZEeeeSRlFJKTU1NqVevXmnu3LnFMbt27Updu3ZNCxYsKNc0PxAaGhrSSSedlJYtW5bGjBlTDARrfvhce+216Zxzzjnk9db+8Jg0aVK6+OKLS7b99V//dfriF7+YUrLuh8M7A6E5a/zaa6+lDh06pKVLlxbHvPzyy6ldu3bpF7/4RZvOr1WnGPbs2RNr1qyJCRMmlGyfMGFCrFq1qjWH5l28/vrrERFx/PHHR0TECy+8ENu3by+5HyorK2PMmDHuh1b6yle+EpMmTYrx48eXbLfmh899990Xo0aNismTJ0ePHj3ijDPOiIULFxavt/aHxznnnBMPPfRQPPPMMxER8Zvf/CYeffTR+Mu//MuIsO5HQnPWeM2aNbF3796SMbW1tTF06NA2vx9a/MeaIiJeeeWV2LdvX/Ts2bNke8+ePWP79u2tmhgHl1KKWbNmxTnnnBNDhw6NiCiu9cHuh9///vdHfI4fFEuXLo21a9fG6tWrs+us+eHz/PPPx/z582PWrFlx/fXXx+OPPx5XXHFFVFZWxrRp06z9YXLttdfG66+/HkOGDIn27dvHvn37Yvbs2fGFL3whInzNHwnNWePt27dHx44d46Mf/Wg2pq0fd1sVCPsVCoWSyymlbBttY8aMGfHkk0/Go48+ml3nfmg7W7ZsiZkzZ8Z//ud/RlVV1SHHWfO219TUFKNGjYpvf/vbERFxxhlnxFNPPRXz58+PadOmFcdZ+7b17//+73HXXXfFkiVL4hOf+ESsX78+rrzyyqitrY3p06cXx1n3w68la3w47odWnWLo3r17tG/fPquWHTt2ZAVE611++eVx3333xfLly0v+1HavXr0iItwPbWjNmjWxY8eOGDlyZFRUVERFRUU88sgj8U//9E9RUVFRXFdr3vZ69+4dp556asm2U045JTZv3hwRvt4Pl6uvvjq+/vWvxwUXXBDDhg2Liy66KL761a/GnDlzIsK6HwnNWeNevXrFnj174tVXXz3kmLbSqkDo2LFjjBw5MpYtW1ayfdmyZXHWWWe1amL8v5RSzJgxI+655554+OGHY9CgQSXXDxo0KHr16lVyP+zZsyceeeQR90MLffrTn44NGzbE+vXrix+jRo2KqVOnxvr16+OEE06w5ofJ2Wefnb2N95lnnokBAwZEhK/3w+Wtt96Kdu1KHxLat29ffJujdT/8mrPGI0eOjA4dOpSM2bZtW2zcuLHt74fWvspx/9sc77jjjvT000+nK6+8MnXu3Dm9+OKLrT00f3LZZZelrl27phUrVqRt27YVP956663imLlz56auXbume+65J23YsCF94Qtf8PajNnbguxhSsuaHy+OPP54qKirS7Nmz07PPPpsWL16cOnXqlO66667iGGvf9qZPn5769OlTfJvjPffck7p3756uueaa4hjr3noNDQ1p3bp1ad26dSki0rx589K6deuKvxqgOWt86aWXpr59+6YHH3wwrV27No0bN+7ofJtjSin98z//cxowYEDq2LFjGjFiRPHtd7SNiDjox6JFi4pjmpqa0k033ZR69eqVKisr0+jRo9OGDRvKN+kPoHcGgjU/fH72s5+loUOHpsrKyjRkyJB0++23l1xv7dtefX19mjlzZurfv3+qqqpKJ5xwQrrhhhvS7t27i2Ose+stX778oD/Pp0+fnlJq3hrv3LkzzZgxIx1//PGpuro6feYzn0mbN29u87n6c88AQMbfYgAAMgIBAMgIBAAgIxAAgIxAAAAyAgEAyAgEACAjEACAjECAY9DAgQPjtttue9cxN998cwwfPvyIzAf44BEIcIQsWLAgampqorGxsbjtjTfeiA4dOsS5555bMnblypVRKBTimWeeOeixVq9eHV/+8peLlwuFQvz0pz8tGfO1r30tHnroobb7BP5k3bp18ZnPfCZ69OgRVVVVMXDgwJgyZUq88sorbX5bQPkIBDhCxo4dG2+88UY88cQTxW0rV66MXr16xerVq+Ott94qbl+xYkXU1tbGySefXHKMPXv2RETExz72sejUqdO73t5xxx0X3bp1a8PP4O0/KTt+/Pjo3r17/PKXv4xNmzbFv/zLv0Tv3r1L5t/W9u7de9iODRycQIAj5OMf/3jU1tbGihUrittWrFgRf/VXfxWDBw+OVatWlWwfO3ZsfOlLX4rPfe5zMWfOnJJgOPAUw8CBAyMi4vOf/3wUCoXi5XeeYth/rFtvvTV69+4d3bp1i6985SslD77btm2LSZMmRXV1dQwaNCiWLFlSclurVq2K+vr6+OEPfxhnnHFGDBo0KMaNGxe33XZb9O/fv3icp556KiZNmhRdunSJmpqaOPfcc+O5556LiIimpqa45ZZbom/fvlFZWRnDhw+PX/ziF8V9X3zxxSgUCvEf//EfUVdXF1VVVXHXXXdFRMSiRYvilFNOiaqqqhgyZEj84Ac/aNV9AhyaQIAjqK6uLpYvX168vHz58qirq4sxY8YUt+/Zsyf++7//O8aOHRsREQ899FBs2rQpli1bFvfff392zNWrV0fE2w+e27ZtK14+mOXLl8dzzz0Xy5cvjzvvvDN+9KMfxY9+9KPi9dOmTYutW7fGihUr4u67747bb789duzYUby+V69e0djYGPfee28c6u+8vfzyyzF69OioqqqKhx9+ONasWRMXX3xx8dTK9773vfjud78bt956azz55JNx3nnnxWc/+9l49tlnS45z7bXXxhVXXBGbNm2K8847LxYuXBg33HBDzJ49OzZt2hTf/va34+///u/jzjvvfLclB1qqzf8+JHBIt99+e+rcuXPau3dvqq+vTxUVFel//ud/0tKlS9NZZ52VUkrpkUceSRGRnnvuuTR9+vTUs2fPkj+5m1JKAwYMSP/4j/9YvBwR6d577y0Zc9NNN6XTTz+9eHn69OlpwIABJX8zfvLkyWnKlCkppZQ2bdqUIiKtXr26eP2zzz6bIqLktq6//vpUUVGRjj/++PQXf/EX6Tvf+U7avn178frrrrsuDRo0KO3Zs+ega1BbW5tmz55dsu3MM89Mf/d3f5dSSumFF15IEZFuu+22kjH9+vVLS5YsKdn2zW9+M/35n//5QW8HaB3PIMARNHbs2HjzzTdj9erVsXLlyjj55JOjR48eMWbMmFi9enW8+eabsWLFiujfv3+ccMIJERExbNiw6NixY5vc/ic+8Ylo37598XLv3r2LzxD89re/jYqKihgxYkTx+hNPPDE++tGPlhxj9uzZsX379liwYEGceuqpsWDBghgyZEhs2LAhIiLWr18f5557bnTo0CG7/fr6+ti6dWucffbZJdvPPvvs2LRpU8m2UaNGFf/9hz/8IbZs2RKXXHJJHHfcccWPb33rW8VTF0Dbqij3BODD5MQTT4y+ffvG8uXL49VXX40xY8ZExNtP3Q8aNCj+67/+K5YvXx7jxo0r7tO5c+c2u/13PmgXCoVoamqKiDjkKYODbe/WrVtMnjw5Jk+eHHPmzIkzzjgjbr311rjzzjujurr6PedRKBSy23jntgM/7/1zXLhwYfzZn/1ZybgDgwdoO55BgCNs7NixsWLFilixYkXU1dUVt48ZMyZ++ctfxmOPPVZ8/UFzdejQIfbt29eqeQ0ZMiQaGxtj3bp1xW2/+93v4rXXXnvX/Tp27BiDBw+ON998MyIiTjvttFi5cuVB33nQpUuXqK2tjUcffbRk+6pVq+KUU0455G307Nkz+vTpE88//3yceOKJJR+DBg16H58l0FyeQYAjbOzYscV3D+x/BiHi7UC47LLLYteuXe87EAYOHBgPPfRQnH322VFZWZmdFmiOIUOGxPjx4+PLX/5yzJ8/Pzp06BBXXXVVVFdXF/93f//998fSpUvjggsuiJNPPjlSSvGzn/0sfv7zn8eiRYsiImLGjBnx/e9/Py644IK47rrromvXrvHYY4/FJz/5yfj4xz8eV199ddx0000xePDgGD58eCxatCjWr18fixcvftf53XzzzXHFFVdEly5dYuLEibF79+544okn4tVXX41Zs2a9788XeHcCAY6wsWPHxs6dO2PIkCHRs2fP4vYxY8ZEQ0NDDB48OPr16/e+jvnd7343Zs2aFQsXLow+ffrEiy++2KK5/eu//mtccsklMXr06OjVq1fMmTMnnnrqqaiqqoqIiFNPPTU6deoUV111VWzZsiUqKyvjpJNOih/+8Idx0UUXRcTbpx8efvjhuPrqq2PMmDHRvn37GD58ePF1B1dccUXU19fHVVddFTt27IhTTz017rvvvjjppJPedW5/+7d/G506dYp/+Id/iGuuuSY6d+4cw4YNiyuvvLJFnyvw7grpUCcegQ+9l156Kfr16xcPPvhgfPrTny73dIAjSCAARQ8//HC88cYbMWzYsNi2bVtcc8018fLLL8czzzxz0HclAB9cTjEARXv37o3rr78+nn/++aipqYmzzjorFi9eLA7gQ8gzCABAxtscAYCMQAAAMgIBAMgIBAAgIxAAgIxAAAAyAgEAyAgEACDzf1W+UZDidjf6AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data=data,x=\"WritingScore\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c8462a5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([nan, 'group C', 'group B', 'group A', 'group D', 'group E'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"EthnicGroup\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3c630a4a",
   "metadata": {},
   "source": [
    "# Distribution of Ethnic Group\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d656c18a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gender                 2219\n",
      "EthnicGroup            2219\n",
      "ParentEduc             2078\n",
      "LunchType              2219\n",
      "TestPrep               2081\n",
      "ParentMaritalStatus    2121\n",
      "PracticeSport          2167\n",
      "IsFirstChild           2168\n",
      "NrSiblings             2096\n",
      "TransportMeans         1999\n",
      "WklyStudyHours         2146\n",
      "MathScore              2219\n",
      "ReadingScore           2219\n",
      "WritingScore           2219\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "groupA=data.loc[(data[\"EthnicGroup\"]=='group A')].count()\n",
    "print(groupA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1a257c47",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gender                 5826\n",
      "EthnicGroup            5826\n",
      "ParentEduc             5470\n",
      "LunchType              5826\n",
      "TestPrep               5488\n",
      "ParentMaritalStatus    5605\n",
      "PracticeSport          5704\n",
      "IsFirstChild           5649\n",
      "NrSiblings             5546\n",
      "TransportMeans         5238\n",
      "WklyStudyHours         5642\n",
      "MathScore              5826\n",
      "ReadingScore           5826\n",
      "WritingScore           5826\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "groupB=data.loc[(data[\"EthnicGroup\"]=='group B')].count()\n",
    "print(groupB)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "269ff894",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gender                 9212\n",
      "EthnicGroup            9212\n",
      "ParentEduc             8652\n",
      "LunchType              9212\n",
      "TestPrep               8652\n",
      "ParentMaritalStatus    8858\n",
      "PracticeSport          9050\n",
      "IsFirstChild           8929\n",
      "NrSiblings             8763\n",
      "TransportMeans         8280\n",
      "WklyStudyHours         8933\n",
      "MathScore              9212\n",
      "ReadingScore           9212\n",
      "WritingScore           9212\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "groupC=data.loc[(data[\"EthnicGroup\"]=='group C')].count()\n",
    "print(groupC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f39956b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gender                 7503\n",
      "EthnicGroup            7503\n",
      "ParentEduc             7056\n",
      "LunchType              7503\n",
      "TestPrep               7070\n",
      "ParentMaritalStatus    7218\n",
      "PracticeSport          7343\n",
      "IsFirstChild           7285\n",
      "NrSiblings             7106\n",
      "TransportMeans         6713\n",
      "WklyStudyHours         7270\n",
      "MathScore              7503\n",
      "ReadingScore           7503\n",
      "WritingScore           7503\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "groupD=data.loc[(data[\"EthnicGroup\"]=='group D')].count()\n",
    "print(groupD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "f353f028",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gender                 4041\n",
      "EthnicGroup            4041\n",
      "ParentEduc             3814\n",
      "LunchType              4041\n",
      "TestPrep               3804\n",
      "ParentMaritalStatus    3892\n",
      "PracticeSport          3954\n",
      "IsFirstChild           3918\n",
      "NrSiblings             3820\n",
      "TransportMeans         3624\n",
      "WklyStudyHours         3924\n",
      "MathScore              4041\n",
      "ReadingScore           4041\n",
      "WritingScore           4041\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "groupE=data.loc[(data[\"EthnicGroup\"]=='group E')].count()\n",
    "print(groupE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "75f76bdc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "grp=[groupA[\"EthnicGroup\"],groupB[\"EthnicGroup\"],groupC[\"EthnicGroup\"],groupD[\"EthnicGroup\"],groupE[\"EthnicGroup\"]]\n",
    "plt.pie(grp,labels=[\"Group A\",\"Group B\",\"Group C\",\"Group D\",\"Group E\"],autopct=\"%1.2f%%\")\n",
    "plt.title(\"Distribution of Ethnic Group \")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "96d2a279",
   "metadata": {},
   "source": [
    "# Getting Numbers of Student by Ethnic Group in Bar Plot.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "386800ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0, 0, '9212'),\n",
       " Text(0, 0, '5826'),\n",
       " Text(0, 0, '2219'),\n",
       " Text(0, 0, '7503'),\n",
       " Text(0, 0, '4041')]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.countplot(data = data, x ='EthnicGroup')\n",
    "ax.bar_label(ax.containers[0])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7e4c098c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,4))\n",
    "x = sns.histplot(data, bins = 100, kde = True, fill = False, line_kws = {\"lw\":2.5})"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4b75811",
   "metadata": {},
   "source": [
    "#  Visualize the distribution of numerical columns using violin plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "d0ea55c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x400 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "k = 1\n",
    "canvas = plt.figure(figsize=(10,4))\n",
    "for i in data.columns[data.dtypes == \"int64\"]:\n",
    "    g1 = canvas.add_axes([1,k,1,1])\n",
    "    sns.violinplot(x = \"{}\".format(i), data = data)\n",
    "    k += 1.3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ed6bc4e9",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}