Solution_practice_exercise+(eda).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Practice Exercise: Exploring data (Exploratory Data Analysis)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Context:\n",
    "- The data includes 120 years (1896 to 2016) of Olympic games with information about athletes and medal results.\n",
    "- We'll focus on practicing the summary statistics and data visualization techniques that we've learned in the course. \n",
    "- In general, this dataset is popular to explore how the Olympics have evolved over time, including the participation and performance of different genders, different countries, in various sports and events.\n",
    "\n",
    "- Check out the original source if you are interested in using this data for other purposes (https://www.kaggle.com/heesoo37/120-years-of-olympic-history-athletes-and-results)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset Description:\n",
    "\n",
    "We'll work on the data within athlete_events.csv. \n",
    "\n",
    "Each row corresponds to an individual athlete competing in an individual Olympic event.\n",
    "\n",
    "The columns are:\n",
    "- **ID**: Unique number for each athlete\n",
    "- **Name**: Athlete's name\n",
    "- **Sex**: M or F\n",
    "- **Age**: Integer\n",
    "- **Height**: In centimeters\n",
    "- **Weight**: In kilograms\n",
    "- **Team**: Team name\n",
    "- **NOC**: National Olympic Committee 3-letter code\n",
    "- **Games**: Year and season\n",
    "- **Year**: Integer\n",
    "- **Season**: Summer or Winter\n",
    "- **City**: Host city\n",
    "- **Sport**: Sport\n",
    "- **Event**: Event\n",
    "- **Medal**: Gold, Silver, Bronze, or NA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Objective: \n",
    "   - Examine/clean the dataset\n",
    "   - Explore distributions of single numerical and categorical features via statistics and plots\n",
    "   - Explore relationships of multiple features via statistics and plots\n",
    "\n",
    "We are only going to explore part of the dataset, please feel free to explore more if you are interested."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Import the libraries `Pandas` and `Seaborn`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Import the data from the csv file as DataFrame `olympics`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "olympics = pd.read_csv('athlete_events.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Look at the info summary, head of the DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 271116 entries, 0 to 271115\n",
      "Data columns (total 15 columns):\n",
      " #   Column  Non-Null Count   Dtype  \n",
      "---  ------  --------------   -----  \n",
      " 0   ID      271116 non-null  int64  \n",
      " 1   Name    271116 non-null  object \n",
      " 2   Sex     271116 non-null  object \n",
      " 3   Age     261642 non-null  float64\n",
      " 4   Height  210945 non-null  float64\n",
      " 5   Weight  208241 non-null  float64\n",
      " 6   Team    271116 non-null  object \n",
      " 7   NOC     271116 non-null  object \n",
      " 8   Games   271116 non-null  object \n",
      " 9   Year    271116 non-null  int64  \n",
      " 10  Season  271116 non-null  object \n",
      " 11  City    271116 non-null  object \n",
      " 12  Sport   271116 non-null  object \n",
      " 13  Event   271116 non-null  object \n",
      " 14  Medal   39783 non-null   object \n",
      "dtypes: float64(3), int64(2), object(10)\n",
      "memory usage: 31.0+ MB\n"
     ]
    }
   ],
   "source": [
    "olympics.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Team</th>\n",
       "      <th>NOC</th>\n",
       "      <th>Games</th>\n",
       "      <th>Year</th>\n",
       "      <th>Season</th>\n",
       "      <th>City</th>\n",
       "      <th>Sport</th>\n",
       "      <th>Event</th>\n",
       "      <th>Medal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>A Dijiang</td>\n",
       "      <td>M</td>\n",
       "      <td>24.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>China</td>\n",
       "      <td>CHN</td>\n",
       "      <td>1992 Summer</td>\n",
       "      <td>1992</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Barcelona</td>\n",
       "      <td>Basketball</td>\n",
       "      <td>Basketball Men's Basketball</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>A Lamusi</td>\n",
       "      <td>M</td>\n",
       "      <td>23.0</td>\n",
       "      <td>170.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>China</td>\n",
       "      <td>CHN</td>\n",
       "      <td>2012 Summer</td>\n",
       "      <td>2012</td>\n",
       "      <td>Summer</td>\n",
       "      <td>London</td>\n",
       "      <td>Judo</td>\n",
       "      <td>Judo Men's Extra-Lightweight</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Gunnar Nielsen Aaby</td>\n",
       "      <td>M</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>DEN</td>\n",
       "      <td>1920 Summer</td>\n",
       "      <td>1920</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Antwerpen</td>\n",
       "      <td>Football</td>\n",
       "      <td>Football Men's Football</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Edgar Lindenau Aabye</td>\n",
       "      <td>M</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Denmark/Sweden</td>\n",
       "      <td>DEN</td>\n",
       "      <td>1900 Summer</td>\n",
       "      <td>1900</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Paris</td>\n",
       "      <td>Tug-Of-War</td>\n",
       "      <td>Tug-Of-War Men's Tug-Of-War</td>\n",
       "      <td>Gold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Christine Jacoba Aaftink</td>\n",
       "      <td>F</td>\n",
       "      <td>21.0</td>\n",
       "      <td>185.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>NED</td>\n",
       "      <td>1988 Winter</td>\n",
       "      <td>1988</td>\n",
       "      <td>Winter</td>\n",
       "      <td>Calgary</td>\n",
       "      <td>Speed Skating</td>\n",
       "      <td>Speed Skating Women's 500 metres</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   ID                      Name Sex   Age  Height  Weight            Team  \\\n",
       "0   1                 A Dijiang   M  24.0   180.0    80.0           China   \n",
       "1   2                  A Lamusi   M  23.0   170.0    60.0           China   \n",
       "2   3       Gunnar Nielsen Aaby   M  24.0     NaN     NaN         Denmark   \n",
       "3   4      Edgar Lindenau Aabye   M  34.0     NaN     NaN  Denmark/Sweden   \n",
       "4   5  Christine Jacoba Aaftink   F  21.0   185.0    82.0     Netherlands   \n",
       "\n",
       "   NOC        Games  Year  Season       City          Sport  \\\n",
       "0  CHN  1992 Summer  1992  Summer  Barcelona     Basketball   \n",
       "1  CHN  2012 Summer  2012  Summer     London           Judo   \n",
       "2  DEN  1920 Summer  1920  Summer  Antwerpen       Football   \n",
       "3  DEN  1900 Summer  1900  Summer      Paris     Tug-Of-War   \n",
       "4  NED  1988 Winter  1988  Winter    Calgary  Speed Skating   \n",
       "\n",
       "                              Event Medal  \n",
       "0       Basketball Men's Basketball   NaN  \n",
       "1      Judo Men's Extra-Lightweight   NaN  \n",
       "2           Football Men's Football   NaN  \n",
       "3       Tug-Of-War Men's Tug-Of-War  Gold  \n",
       "4  Speed Skating Women's 500 metres   NaN  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Impute the missing data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Use `IterativeImputer` in `sklearn` to impute based on columns `Year`, `Age`, `Height`, `Weight`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.experimental import enable_iterative_imputer\n",
    "from sklearn.impute import IterativeImputer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Build a list of columns that will be used for imputation, which are `Year`, `Age`, `Height`, `Weight`\n",
    "The column `Year` doesn't have mssing values, but we include it since it might be helpful modeling the other three columns. The age, height, and weight could change across years."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols_to_impute = ['Year', 'Age', 'Height', 'Weight']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Create an `IterativeImputer` object and set its `min_value` and `max_value` parameters to be the minumum and maximum of corresponding columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "iter_imp = IterativeImputer(min_value=olympics[cols_to_impute].min(), max_value=olympics[cols_to_impute].max())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Apply the imputer to fit and transform the columns to an imputed NumPy array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "imputed_cols = iter_imp.fit_transform(olympics[cols_to_impute])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Assign the imputed array back to the original DataFrame's columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "olympics[cols_to_impute] = imputed_cols"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Fill the missing values in the column `Medal` with string of 'NA'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "olympics['Medal'] = olympics['Medal'].fillna('NA')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Double check that the columns are all imputed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID        0\n",
       "Name      0\n",
       "Sex       0\n",
       "Age       0\n",
       "Height    0\n",
       "Weight    0\n",
       "Team      0\n",
       "NOC       0\n",
       "Games     0\n",
       "Year      0\n",
       "Season    0\n",
       "City      0\n",
       "Sport     0\n",
       "Event     0\n",
       "Medal     0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Use the `describe` method to check the numerical columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>271116.000000</td>\n",
       "      <td>271116.000000</td>\n",
       "      <td>271116.000000</td>\n",
       "      <td>271116.000000</td>\n",
       "      <td>271116.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>68248.954396</td>\n",
       "      <td>25.600403</td>\n",
       "      <td>175.280009</td>\n",
       "      <td>70.952869</td>\n",
       "      <td>1978.378480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>39022.286345</td>\n",
       "      <td>6.286884</td>\n",
       "      <td>9.348504</td>\n",
       "      <td>12.804718</td>\n",
       "      <td>29.877632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>127.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>1896.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>34643.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>170.000000</td>\n",
       "      <td>63.000000</td>\n",
       "      <td>1960.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>68205.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>174.985438</td>\n",
       "      <td>70.064758</td>\n",
       "      <td>1988.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>102097.250000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>180.000000</td>\n",
       "      <td>77.000000</td>\n",
       "      <td>2002.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>135571.000000</td>\n",
       "      <td>97.000000</td>\n",
       "      <td>226.000000</td>\n",
       "      <td>214.000000</td>\n",
       "      <td>2016.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  ID            Age         Height         Weight  \\\n",
       "count  271116.000000  271116.000000  271116.000000  271116.000000   \n",
       "mean    68248.954396      25.600403     175.280009      70.952869   \n",
       "std     39022.286345       6.286884       9.348504      12.804718   \n",
       "min         1.000000      10.000000     127.000000      25.000000   \n",
       "25%     34643.000000      22.000000     170.000000      63.000000   \n",
       "50%     68205.000000      25.000000     174.985438      70.064758   \n",
       "75%    102097.250000      28.000000     180.000000      77.000000   \n",
       "max    135571.000000      97.000000     226.000000     214.000000   \n",
       "\n",
       "                Year  \n",
       "count  271116.000000  \n",
       "mean     1978.378480  \n",
       "std        29.877632  \n",
       "min      1896.000000  \n",
       "25%      1960.000000  \n",
       "50%      1988.000000  \n",
       "75%      2002.000000  \n",
       "max      2016.000000  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 6. Plot the histograms of the numerical columns using `Pandas`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'ID'}>,\n",
       "        <AxesSubplot:title={'center':'Age'}>],\n",
       "       [<AxesSubplot:title={'center':'Height'}>,\n",
       "        <AxesSubplot:title={'center':'Weight'}>],\n",
       "       [<AxesSubplot:title={'center':'Year'}>, <AxesSubplot:>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "olympics.hist(figsize=(15, 10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice that there could be outliers for `Age`, `Weight`, `Height`. But we'll only focus on `Age`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7. Plot the histogram with a rug plot of the column `Age` using `Seaborn`, with both 20 and 50 bins"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x19f8b139f48>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data=olympics, x='Age', bins=20, rug=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x19f8b3ead88>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data=olympics, x='Age', bins=50, rug=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice the slight changes of distributions of `Age` when the number of bins changes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 8. Plot the boxplot of the column `Age` using `Pandas`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "olympics['Age'].plot(kind='box')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 9. Plot the boxplot of the column `Age` using `Seaborn`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x19f9c908a08>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(data=olympics, y='Age', kind='box')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 10. Calculate the first quartile, third quartile, and IQR of the column `Age`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "Q1 = olympics['Age'].quantile(0.25)\n",
    "Q3 = olympics['Age'].quantile(0.75)\n",
    "IQR = Q3 - Q1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "22.0\n",
      "28.0\n",
      "6.0\n"
     ]
    }
   ],
   "source": [
    "print(Q1)\n",
    "print(Q3)\n",
    "print(IQR)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 11. Print out the lower and upper thresholds for outliers based on IQR for the column `Age`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Low age outlier threshold: 13.0\n",
      "High age outlier threshold: 37.0\n"
     ]
    }
   ],
   "source": [
    "print(f'Low age outlier threshold: {Q1 - 1.5*IQR}')\n",
    "print(f'High age outlier threshold: {Q3 + 1.5*IQR}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 12. What are the `Sport` for the athletes of really young age"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Filter for the column `Sport` when the column `Age` has outliers of lower values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9648            Swimming\n",
       "9649            Swimming\n",
       "9650            Swimming\n",
       "43468     Figure Skating\n",
       "46955             Rowing\n",
       "50291           Swimming\n",
       "50292           Swimming\n",
       "50293           Swimming\n",
       "50294           Swimming\n",
       "60911     Figure Skating\n",
       "73461             Rowing\n",
       "79024         Gymnastics\n",
       "79352     Figure Skating\n",
       "84361             Rowing\n",
       "85840           Swimming\n",
       "91910           Swimming\n",
       "91911           Swimming\n",
       "91912           Swimming\n",
       "91913           Swimming\n",
       "93850           Swimming\n",
       "94058     Figure Skating\n",
       "96236           Swimming\n",
       "96665     Figure Skating\n",
       "97086     Figure Skating\n",
       "101378    Figure Skating\n",
       "102916    Figure Skating\n",
       "108031    Figure Skating\n",
       "118048    Figure Skating\n",
       "120233          Swimming\n",
       "120234          Swimming\n",
       "126542    Figure Skating\n",
       "140650    Figure Skating\n",
       "142882        Gymnastics\n",
       "145150        Gymnastics\n",
       "148942        Gymnastics\n",
       "149033          Swimming\n",
       "152798    Figure Skating\n",
       "168941         Athletics\n",
       "168942         Athletics\n",
       "192507            Diving\n",
       "197894          Swimming\n",
       "197895          Swimming\n",
       "226019          Swimming\n",
       "236977          Swimming\n",
       "237141    Figure Skating\n",
       "249803            Rowing\n",
       "249804            Rowing\n",
       "251495        Gymnastics\n",
       "252230          Swimming\n",
       "252231          Swimming\n",
       "252232          Swimming\n",
       "252233          Swimming\n",
       "253662    Figure Skating\n",
       "Name: Sport, dtype: object"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msk_lower = (olympics['Age'] < (Q1 - 1.5*IQR))\n",
    "olympics.loc[msk_lower,'Sport']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Look at the unique values of `Sport` and their counts when `Age` are low-valued outliers\n",
    "\n",
    "Did you find any sports popular for really young athletes?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Swimming          25\n",
       "Figure Skating    15\n",
       "Gymnastics         5\n",
       "Rowing             5\n",
       "Athletics          2\n",
       "Diving             1\n",
       "Name: Sport, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics.loc[msk_lower,'Sport'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are specific sports with really young age athletes, e.g., Swimming, Figure Skating."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 13. What are the `Sport` for the athletes of older age"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Filter for the column `Sport` when the column `Age` has outliers of higher values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "58        Art Competitions\n",
       "89                 Sailing\n",
       "90                 Sailing\n",
       "124               Shooting\n",
       "126               Shooting\n",
       "                ...       \n",
       "270955    Art Competitions\n",
       "270970           Athletics\n",
       "270971           Athletics\n",
       "270972           Athletics\n",
       "271090             Sailing\n",
       "Name: Sport, Length: 11928, dtype: object"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msk_upper = (olympics['Age'] > (Q3 + 1.5*IQR))\n",
    "olympics.loc[msk_upper,'Sport']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Look at the unique values of `Sport` and their counts when `Age` are high-valued outliers\n",
    "Did you find any sports popular for older age athletes?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Shooting                 3178\n",
       "Art Competitions         2226\n",
       "Equestrianism            1997\n",
       "Sailing                  1040\n",
       "Fencing                  1031\n",
       "Athletics                 408\n",
       "Archery                   311\n",
       "Bobsleigh                 230\n",
       "Gymnastics                167\n",
       "Rowing                    122\n",
       "Cycling                    99\n",
       "Curling                    98\n",
       "Table Tennis               83\n",
       "Cross Country Skiing       81\n",
       "Biathlon                   78\n",
       "Canoeing                   71\n",
       "Tennis                     70\n",
       "Ice Hockey                 51\n",
       "Wrestling                  46\n",
       "Golf                       42\n",
       "Weightlifting              42\n",
       "Speed Skating              36\n",
       "Polo                       33\n",
       "Figure Skating             30\n",
       "Handball                   29\n",
       "Hockey                     29\n",
       "Water Polo                 29\n",
       "Luge                       26\n",
       "Alpine Skiing              25\n",
       "Skeleton                   23\n",
       "Beach Volleyball           16\n",
       "Tug-Of-War                 15\n",
       "Volleyball                 15\n",
       "Judo                       14\n",
       "Swimming                   13\n",
       "Modern Pentathlon          13\n",
       "Baseball                   11\n",
       "Football                    9\n",
       "Alpinism                    8\n",
       "Softball                    8\n",
       "Ski Jumping                 8\n",
       "Freestyle Skiing            8\n",
       "Diving                      8\n",
       "Basketball                  7\n",
       "Badminton                   6\n",
       "Croquet                     6\n",
       "Triathlon                   5\n",
       "Jeu De Paume                4\n",
       "Snowboarding                4\n",
       "Motorboating                4\n",
       "Boxing                      3\n",
       "Cricket                     2\n",
       "Roque                       2\n",
       "Racquets                    2\n",
       "Synchronized Swimming       2\n",
       "Trampolining                2\n",
       "Nordic Combined             1\n",
       "Rugby                       1\n",
       "Name: Sport, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics.loc[msk_upper,'Sport'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are specific sports popular for higher-aged athletes. They tend to need more skills rather than movements."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 14. Check for the number of unique values in each column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID        135571\n",
       "Name      134732\n",
       "Sex            2\n",
       "Age          785\n",
       "Height      2475\n",
       "Weight      3565\n",
       "Team        1184\n",
       "NOC          230\n",
       "Games         51\n",
       "Year          35\n",
       "Season         2\n",
       "City          42\n",
       "Sport         66\n",
       "Event        765\n",
       "Medal          4\n",
       "dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Olympics is a large event! There are many `Name`, `Team`, `NOC`, `Games`, `Year`, `City`, `Sport`, and `Event`!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 15. Use the `describe` method to check the non-numerical columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Team</th>\n",
       "      <th>NOC</th>\n",
       "      <th>Games</th>\n",
       "      <th>Season</th>\n",
       "      <th>City</th>\n",
       "      <th>Sport</th>\n",
       "      <th>Event</th>\n",
       "      <th>Medal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>271116</td>\n",
       "      <td>271116</td>\n",
       "      <td>271116</td>\n",
       "      <td>271116</td>\n",
       "      <td>271116</td>\n",
       "      <td>271116</td>\n",
       "      <td>271116</td>\n",
       "      <td>271116</td>\n",
       "      <td>271116</td>\n",
       "      <td>271116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>134732</td>\n",
       "      <td>2</td>\n",
       "      <td>1184</td>\n",
       "      <td>230</td>\n",
       "      <td>51</td>\n",
       "      <td>2</td>\n",
       "      <td>42</td>\n",
       "      <td>66</td>\n",
       "      <td>765</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>Robert Tait McKenzie</td>\n",
       "      <td>M</td>\n",
       "      <td>United States</td>\n",
       "      <td>USA</td>\n",
       "      <td>2000 Summer</td>\n",
       "      <td>Summer</td>\n",
       "      <td>London</td>\n",
       "      <td>Athletics</td>\n",
       "      <td>Football Men's Football</td>\n",
       "      <td>NA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>58</td>\n",
       "      <td>196594</td>\n",
       "      <td>17847</td>\n",
       "      <td>18853</td>\n",
       "      <td>13821</td>\n",
       "      <td>222552</td>\n",
       "      <td>22426</td>\n",
       "      <td>38624</td>\n",
       "      <td>5733</td>\n",
       "      <td>231333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Name     Sex           Team     NOC        Games  \\\n",
       "count                 271116  271116         271116  271116       271116   \n",
       "unique                134732       2           1184     230           51   \n",
       "top     Robert Tait McKenzie       M  United States     USA  2000 Summer   \n",
       "freq                      58  196594          17847   18853        13821   \n",
       "\n",
       "        Season    City      Sport                    Event   Medal  \n",
       "count   271116  271116     271116                   271116  271116  \n",
       "unique       2      42         66                      765       4  \n",
       "top     Summer  London  Athletics  Football Men's Football      NA  \n",
       "freq    222552   22426      38624                     5733  231333  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics.describe(exclude='number')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 16. Apply the `value_counts` method for each non-numerical column, check for their unique values and counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Name', 'Sex', 'Team', 'NOC', 'Games', 'Season', 'City', 'Sport',\n",
       "       'Event', 'Medal'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_cols = olympics.select_dtypes(exclude='number').columns\n",
    "cat_cols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Robert Tait McKenzie                  58\n",
      "Heikki Ilmari Savolainen              39\n",
      "Joseph \"Josy\" Stoffel                 38\n",
      "Ioannis Theofilakis                   36\n",
      "Takashi Ono                           33\n",
      "                                      ..\n",
      "Paul \"Junior\" McKee                    1\n",
      "Michael Haa                            1\n",
      "Dwarkadas Murarji                      1\n",
      "Patrick Sharp                          1\n",
      "Christopher Paul \"Chris\" McDermott     1\n",
      "Name: Name, Length: 134732, dtype: int64\n",
      "\n",
      "M    196594\n",
      "F     74522\n",
      "Name: Sex, dtype: int64\n",
      "\n",
      "United States    17847\n",
      "France           11988\n",
      "Great Britain    11404\n",
      "Italy            10260\n",
      "Germany           9326\n",
      "                 ...  \n",
      "Hb-20                1\n",
      "Leipzig              1\n",
      "Verveine-19          1\n",
      "Crocodile-13         1\n",
      "Whitini Star         1\n",
      "Name: Team, Length: 1184, dtype: int64\n",
      "\n",
      "USA    18853\n",
      "FRA    12758\n",
      "GBR    12256\n",
      "ITA    10715\n",
      "GER     9830\n",
      "       ...  \n",
      "YMD        5\n",
      "SSD        3\n",
      "NBO        2\n",
      "UNK        2\n",
      "NFL        1\n",
      "Name: NOC, Length: 230, dtype: int64\n",
      "\n",
      "2000 Summer    13821\n",
      "1996 Summer    13780\n",
      "2016 Summer    13688\n",
      "2008 Summer    13602\n",
      "2004 Summer    13443\n",
      "1992 Summer    12977\n",
      "2012 Summer    12920\n",
      "1988 Summer    12037\n",
      "1972 Summer    10304\n",
      "1984 Summer     9454\n",
      "1976 Summer     8641\n",
      "1968 Summer     8588\n",
      "1952 Summer     8270\n",
      "1960 Summer     8119\n",
      "1964 Summer     7702\n",
      "1980 Summer     7191\n",
      "1936 Summer     6506\n",
      "1948 Summer     6405\n",
      "1924 Summer     5233\n",
      "1956 Summer     5127\n",
      "1928 Summer     4992\n",
      "2014 Winter     4891\n",
      "2010 Winter     4402\n",
      "2006 Winter     4382\n",
      "1920 Summer     4292\n",
      "2002 Winter     4109\n",
      "1912 Summer     4040\n",
      "1998 Winter     3605\n",
      "1992 Winter     3436\n",
      "1994 Winter     3160\n",
      "1908 Summer     3101\n",
      "1932 Summer     2969\n",
      "1988 Winter     2639\n",
      "1984 Winter     2134\n",
      "1900 Summer     1936\n",
      "1968 Winter     1891\n",
      "1976 Winter     1861\n",
      "1964 Winter     1778\n",
      "1980 Winter     1746\n",
      "1906 Summer     1733\n",
      "1972 Winter     1655\n",
      "1956 Winter     1307\n",
      "1904 Summer     1301\n",
      "1960 Winter     1116\n",
      "1952 Winter     1088\n",
      "1948 Winter     1075\n",
      "1936 Winter      895\n",
      "1928 Winter      582\n",
      "1924 Winter      460\n",
      "1896 Summer      380\n",
      "1932 Winter      352\n",
      "Name: Games, dtype: int64\n",
      "\n",
      "Summer    222552\n",
      "Winter     48564\n",
      "Name: Season, dtype: int64\n",
      "\n",
      "London                    22426\n",
      "Athina                    15556\n",
      "Sydney                    13821\n",
      "Atlanta                   13780\n",
      "Rio de Janeiro            13688\n",
      "Beijing                   13602\n",
      "Barcelona                 12977\n",
      "Los Angeles               12423\n",
      "Seoul                     12037\n",
      "Munich                    10304\n",
      "Montreal                   8641\n",
      "Mexico City                8588\n",
      "Helsinki                   8270\n",
      "Roma                       8119\n",
      "Tokyo                      7702\n",
      "Moskva                     7191\n",
      "Paris                      7169\n",
      "Berlin                     6506\n",
      "Amsterdam                  4992\n",
      "Sochi                      4891\n",
      "Melbourne                  4829\n",
      "Vancouver                  4402\n",
      "Torino                     4382\n",
      "Stockholm                  4338\n",
      "Antwerpen                  4292\n",
      "Salt Lake City             4109\n",
      "Innsbruck                  3639\n",
      "Nagano                     3605\n",
      "Albertville                3436\n",
      "Lillehammer                3160\n",
      "Calgary                    2639\n",
      "Sarajevo                   2134\n",
      "Lake Placid                2098\n",
      "Grenoble                   1891\n",
      "Sankt Moritz               1657\n",
      "Sapporo                    1655\n",
      "Cortina d'Ampezzo          1307\n",
      "St. Louis                  1301\n",
      "Squaw Valley               1116\n",
      "Oslo                       1088\n",
      "Garmisch-Partenkirchen      895\n",
      "Chamonix                    460\n",
      "Name: City, dtype: int64\n",
      "\n",
      "Athletics        38624\n",
      "Gymnastics       26707\n",
      "Swimming         23195\n",
      "Shooting         11448\n",
      "Cycling          10859\n",
      "                 ...  \n",
      "Racquets            12\n",
      "Jeu De Paume        11\n",
      "Roque                4\n",
      "Basque Pelota        2\n",
      "Aeronautics          1\n",
      "Name: Sport, Length: 66, dtype: int64\n",
      "\n",
      "Football Men's Football                                5733\n",
      "Ice Hockey Men's Ice Hockey                            4762\n",
      "Hockey Men's Hockey                                    3958\n",
      "Water Polo Men's Water Polo                            3358\n",
      "Basketball Men's Basketball                            3280\n",
      "                                                       ... \n",
      "Basque Pelota Men's Two-Man Teams With Cesta              2\n",
      "Archery Men's Championnat Du Monde                        2\n",
      "Croquet Mixed Doubles                                     2\n",
      "Archery Men's Target Archery, 28 metres, Individual       2\n",
      "Aeronautics Mixed Aeronautics                             1\n",
      "Name: Event, Length: 765, dtype: int64\n",
      "\n",
      "NA        231333\n",
      "Gold       13372\n",
      "Bronze     13295\n",
      "Silver     13116\n",
      "Name: Medal, dtype: int64\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for col in cat_cols:\n",
    "    print(olympics[col].value_counts())\n",
    "    print()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 17. Check the first record within the dataset for each Olympic `Sport`\n",
    "\n",
    "*Hint: sort the DataFrame by `Year`, then groupby by `Sport`*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Team</th>\n",
       "      <th>NOC</th>\n",
       "      <th>Games</th>\n",
       "      <th>Year</th>\n",
       "      <th>Season</th>\n",
       "      <th>City</th>\n",
       "      <th>Event</th>\n",
       "      <th>Medal</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sport</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Aeronautics</th>\n",
       "      <td>107506</td>\n",
       "      <td>Hermann Schreiber</td>\n",
       "      <td>M</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>174.589865</td>\n",
       "      <td>71.098729</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>SUI</td>\n",
       "      <td>1936 Summer</td>\n",
       "      <td>1936.0</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Aeronautics Mixed Aeronautics</td>\n",
       "      <td>Gold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alpine Skiing</th>\n",
       "      <td>32818</td>\n",
       "      <td>Reat Erce</td>\n",
       "      <td>M</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>172.439922</td>\n",
       "      <td>66.363886</td>\n",
       "      <td>Turkey</td>\n",
       "      <td>TUR</td>\n",
       "      <td>1936 Winter</td>\n",
       "      <td>1936.0</td>\n",
       "      <td>Winter</td>\n",
       "      <td>Garmisch-Partenkirchen</td>\n",
       "      <td>Alpine Skiing Men's Combined</td>\n",
       "      <td>NA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alpinism</th>\n",
       "      <td>74134</td>\n",
       "      <td>George Herbert Leigh Mallory</td>\n",
       "      <td>M</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>176.995129</td>\n",
       "      <td>76.867544</td>\n",
       "      <td>Great Britain</td>\n",
       "      <td>GBR</td>\n",
       "      <td>1924 Winter</td>\n",
       "      <td>1924.0</td>\n",
       "      <td>Winter</td>\n",
       "      <td>Chamonix</td>\n",
       "      <td>Alpinism Mixed Alpinism</td>\n",
       "      <td>Gold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Archery</th>\n",
       "      <td>67722</td>\n",
       "      <td>Lecomte</td>\n",
       "      <td>M</td>\n",
       "      <td>27.618563</td>\n",
       "      <td>174.310796</td>\n",
       "      <td>71.897322</td>\n",
       "      <td>France</td>\n",
       "      <td>FRA</td>\n",
       "      <td>1900 Summer</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Paris</td>\n",
       "      <td>Archery Men's Au Cordon Dore, 50 metres</td>\n",
       "      <td>NA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Art Competitions</th>\n",
       "      <td>48741</td>\n",
       "      <td>Konrad Hippenmeier</td>\n",
       "      <td>M</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>175.339389</td>\n",
       "      <td>73.692765</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>SUI</td>\n",
       "      <td>1912 Summer</td>\n",
       "      <td>1912.0</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>Art Competitions Mixed Architecture</td>\n",
       "      <td>NA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tug-Of-War</th>\n",
       "      <td>86368</td>\n",
       "      <td>August Nilsson</td>\n",
       "      <td>M</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>174.161415</td>\n",
       "      <td>71.570173</td>\n",
       "      <td>Denmark/Sweden</td>\n",
       "      <td>SWE</td>\n",
       "      <td>1900 Summer</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Paris</td>\n",
       "      <td>Tug-Of-War Men's Tug-Of-War</td>\n",
       "      <td>Gold</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Volleyball</th>\n",
       "      <td>14306</td>\n",
       "      <td>Georgi Spasov Boyadzhiev</td>\n",
       "      <td>M</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>177.000000</td>\n",
       "      <td>76.000000</td>\n",
       "      <td>Bulgaria</td>\n",
       "      <td>BUL</td>\n",
       "      <td>1964 Summer</td>\n",
       "      <td>1964.0</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Tokyo</td>\n",
       "      <td>Volleyball Men's Volleyball</td>\n",
       "      <td>NA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Water Polo</th>\n",
       "      <td>74733</td>\n",
       "      <td>Auguste Jean Baptiste Louis Joseph Marc</td>\n",
       "      <td>M</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>172.250355</td>\n",
       "      <td>67.361423</td>\n",
       "      <td>Pupilles de Neptune de Lille #2-1</td>\n",
       "      <td>FRA</td>\n",
       "      <td>1900 Summer</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Paris</td>\n",
       "      <td>Water Polo Men's Water Polo</td>\n",
       "      <td>Bronze</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weightlifting</th>\n",
       "      <td>54456</td>\n",
       "      <td>Alexander Viggo Jensen</td>\n",
       "      <td>M</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>172.653972</td>\n",
       "      <td>68.407539</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>DEN</td>\n",
       "      <td>1896 Summer</td>\n",
       "      <td>1896.0</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Athina</td>\n",
       "      <td>Weightlifting Men's Unlimited, One Hand</td>\n",
       "      <td>Silver</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wrestling</th>\n",
       "      <td>122329</td>\n",
       "      <td>Georgios Tsitas</td>\n",
       "      <td>M</td>\n",
       "      <td>27.721559</td>\n",
       "      <td>174.261331</td>\n",
       "      <td>71.945520</td>\n",
       "      <td>Greece</td>\n",
       "      <td>GRE</td>\n",
       "      <td>1896 Summer</td>\n",
       "      <td>1896.0</td>\n",
       "      <td>Summer</td>\n",
       "      <td>Athina</td>\n",
       "      <td>Wrestling Men's Unlimited Class, Greco-Roman</td>\n",
       "      <td>Silver</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>66 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      ID                                     Name Sex  \\\n",
       "Sport                                                                   \n",
       "Aeronautics       107506                        Hermann Schreiber   M   \n",
       "Alpine Skiing      32818                                Reat Erce   M   \n",
       "Alpinism           74134             George Herbert Leigh Mallory   M   \n",
       "Archery            67722                                  Lecomte   M   \n",
       "Art Competitions   48741                       Konrad Hippenmeier   M   \n",
       "...                  ...                                      ...  ..   \n",
       "Tug-Of-War         86368                           August Nilsson   M   \n",
       "Volleyball         14306                 Georgi Spasov Boyadzhiev   M   \n",
       "Water Polo         74733  Auguste Jean Baptiste Louis Joseph Marc   M   \n",
       "Weightlifting      54456                   Alexander Viggo Jensen   M   \n",
       "Wrestling         122329                          Georgios Tsitas   M   \n",
       "\n",
       "                        Age      Height     Weight  \\\n",
       "Sport                                                \n",
       "Aeronautics       26.000000  174.589865  71.098729   \n",
       "Alpine Skiing     17.000000  172.439922  66.363886   \n",
       "Alpinism          37.000000  176.995129  76.867544   \n",
       "Archery           27.618563  174.310796  71.897322   \n",
       "Art Competitions  31.000000  175.339389  73.692765   \n",
       "...                     ...         ...        ...   \n",
       "Tug-Of-War        27.000000  174.161415  71.570173   \n",
       "Volleyball        21.000000  177.000000  76.000000   \n",
       "Water Polo        19.000000  172.250355  67.361423   \n",
       "Weightlifting     21.000000  172.653972  68.407539   \n",
       "Wrestling         27.721559  174.261331  71.945520   \n",
       "\n",
       "                                               Team  NOC        Games    Year  \\\n",
       "Sport                                                                           \n",
       "Aeronautics                             Switzerland  SUI  1936 Summer  1936.0   \n",
       "Alpine Skiing                                Turkey  TUR  1936 Winter  1936.0   \n",
       "Alpinism                              Great Britain  GBR  1924 Winter  1924.0   \n",
       "Archery                                      France  FRA  1900 Summer  1900.0   \n",
       "Art Competitions                        Switzerland  SUI  1912 Summer  1912.0   \n",
       "...                                             ...  ...          ...     ...   \n",
       "Tug-Of-War                           Denmark/Sweden  SWE  1900 Summer  1900.0   \n",
       "Volleyball                                 Bulgaria  BUL  1964 Summer  1964.0   \n",
       "Water Polo        Pupilles de Neptune de Lille #2-1  FRA  1900 Summer  1900.0   \n",
       "Weightlifting                               Denmark  DEN  1896 Summer  1896.0   \n",
       "Wrestling                                    Greece  GRE  1896 Summer  1896.0   \n",
       "\n",
       "                  Season                    City  \\\n",
       "Sport                                              \n",
       "Aeronautics       Summer                  Berlin   \n",
       "Alpine Skiing     Winter  Garmisch-Partenkirchen   \n",
       "Alpinism          Winter                Chamonix   \n",
       "Archery           Summer                   Paris   \n",
       "Art Competitions  Summer               Stockholm   \n",
       "...                  ...                     ...   \n",
       "Tug-Of-War        Summer                   Paris   \n",
       "Volleyball        Summer                   Tokyo   \n",
       "Water Polo        Summer                   Paris   \n",
       "Weightlifting     Summer                  Athina   \n",
       "Wrestling         Summer                  Athina   \n",
       "\n",
       "                                                         Event   Medal  \n",
       "Sport                                                                   \n",
       "Aeronautics                      Aeronautics Mixed Aeronautics    Gold  \n",
       "Alpine Skiing                     Alpine Skiing Men's Combined      NA  \n",
       "Alpinism                               Alpinism Mixed Alpinism    Gold  \n",
       "Archery                Archery Men's Au Cordon Dore, 50 metres      NA  \n",
       "Art Competitions           Art Competitions Mixed Architecture      NA  \n",
       "...                                                        ...     ...  \n",
       "Tug-Of-War                         Tug-Of-War Men's Tug-Of-War    Gold  \n",
       "Volleyball                         Volleyball Men's Volleyball      NA  \n",
       "Water Polo                         Water Polo Men's Water Polo  Bronze  \n",
       "Weightlifting          Weightlifting Men's Unlimited, One Hand  Silver  \n",
       "Wrestling         Wrestling Men's Unlimited Class, Greco-Roman  Silver  \n",
       "\n",
       "[66 rows x 14 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics.sort_values('Year').groupby('Sport').first()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 18. What are the average `Age`, `Height`, `Weight` of female versus male Olympic athletes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sex</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>F</th>\n",
       "      <td>23.748234</td>\n",
       "      <td>168.476034</td>\n",
       "      <td>60.960650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>26.302496</td>\n",
       "      <td>177.859161</td>\n",
       "      <td>74.740574</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Age      Height     Weight\n",
       "Sex                                  \n",
       "F    23.748234  168.476034  60.960650\n",
       "M    26.302496  177.859161  74.740574"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics.groupby('Sex')[['Age','Height','Weight']].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 19. What are the minimum, average, maximum `Age`, `Height`, `Weight` of athletes in different `Year`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"3\" halign=\"left\">Age</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Height</th>\n",
       "      <th colspan=\"3\" halign=\"left\">Weight</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>min</th>\n",
       "      <th>mean</th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "      <th>mean</th>\n",
       "      <th>max</th>\n",
       "      <th>min</th>\n",
       "      <th>mean</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1896.0</th>\n",
       "      <td>10.0</td>\n",
       "      <td>25.364356</td>\n",
       "      <td>40.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>173.569607</td>\n",
       "      <td>188.000000</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>70.982411</td>\n",
       "      <td>106.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1900.0</th>\n",
       "      <td>13.0</td>\n",
       "      <td>28.454101</td>\n",
       "      <td>71.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>174.664627</td>\n",
       "      <td>191.000000</td>\n",
       "      <td>51.000000</td>\n",
       "      <td>72.502816</td>\n",
       "      <td>102.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1904.0</th>\n",
       "      <td>14.0</td>\n",
       "      <td>26.867754</td>\n",
       "      <td>71.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>174.435046</td>\n",
       "      <td>195.000000</td>\n",
       "      <td>43.000000</td>\n",
       "      <td>71.715326</td>\n",
       "      <td>115.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1906.0</th>\n",
       "      <td>13.0</td>\n",
       "      <td>27.272610</td>\n",
       "      <td>54.0</td>\n",
       "      <td>165.0</td>\n",
       "      <td>174.946975</td>\n",
       "      <td>196.000000</td>\n",
       "      <td>52.000000</td>\n",
       "      <td>72.309427</td>\n",
       "      <td>114.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1908.0</th>\n",
       "      <td>14.0</td>\n",
       "      <td>27.061116</td>\n",
       "      <td>61.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>175.059627</td>\n",
       "      <td>201.000000</td>\n",
       "      <td>51.000000</td>\n",
       "      <td>72.484058</td>\n",
       "      <td>115.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1912.0</th>\n",
       "      <td>13.0</td>\n",
       "      <td>27.528582</td>\n",
       "      <td>67.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>175.149494</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>49.000000</td>\n",
       "      <td>72.354296</td>\n",
       "      <td>125.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1920.0</th>\n",
       "      <td>13.0</td>\n",
       "      <td>28.861062</td>\n",
       "      <td>72.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>175.220153</td>\n",
       "      <td>218.770915</td>\n",
       "      <td>33.074491</td>\n",
       "      <td>72.791440</td>\n",
       "      <td>146.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1924.0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>28.101622</td>\n",
       "      <td>81.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>174.980222</td>\n",
       "      <td>218.578230</td>\n",
       "      <td>34.356723</td>\n",
       "      <td>72.217506</td>\n",
       "      <td>146.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1928.0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>28.728275</td>\n",
       "      <td>97.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>175.282553</td>\n",
       "      <td>211.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>72.568654</td>\n",
       "      <td>125.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1932.0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>32.002855</td>\n",
       "      <td>96.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>175.826347</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>40.090648</td>\n",
       "      <td>73.867313</td>\n",
       "      <td>110.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1936.0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>27.506104</td>\n",
       "      <td>74.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>175.155241</td>\n",
       "      <td>205.000000</td>\n",
       "      <td>37.000000</td>\n",
       "      <td>71.960859</td>\n",
       "      <td>138.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1948.0</th>\n",
       "      <td>12.0</td>\n",
       "      <td>28.407495</td>\n",
       "      <td>84.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>175.567741</td>\n",
       "      <td>213.000000</td>\n",
       "      <td>47.000000</td>\n",
       "      <td>72.408041</td>\n",
       "      <td>125.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1952.0</th>\n",
       "      <td>12.0</td>\n",
       "      <td>26.165217</td>\n",
       "      <td>65.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>174.812820</td>\n",
       "      <td>213.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>71.097510</td>\n",
       "      <td>145.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1956.0</th>\n",
       "      <td>12.0</td>\n",
       "      <td>25.949715</td>\n",
       "      <td>67.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>174.607226</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>71.041599</td>\n",
       "      <td>141.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1960.0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>25.187182</td>\n",
       "      <td>65.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>173.316035</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>69.480564</td>\n",
       "      <td>141.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1964.0</th>\n",
       "      <td>12.0</td>\n",
       "      <td>24.948374</td>\n",
       "      <td>60.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>173.546073</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>69.759825</td>\n",
       "      <td>163.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1968.0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>24.263374</td>\n",
       "      <td>68.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>173.959439</td>\n",
       "      <td>216.000000</td>\n",
       "      <td>34.000000</td>\n",
       "      <td>69.609517</td>\n",
       "      <td>163.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1972.0</th>\n",
       "      <td>12.0</td>\n",
       "      <td>24.318900</td>\n",
       "      <td>69.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>174.562405</td>\n",
       "      <td>223.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>70.003339</td>\n",
       "      <td>182.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1976.0</th>\n",
       "      <td>12.0</td>\n",
       "      <td>23.850452</td>\n",
       "      <td>70.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>174.865117</td>\n",
       "      <td>220.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>70.000335</td>\n",
       "      <td>163.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1980.0</th>\n",
       "      <td>13.0</td>\n",
       "      <td>23.734613</td>\n",
       "      <td>70.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>175.508742</td>\n",
       "      <td>220.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>70.624903</td>\n",
       "      <td>190.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1984.0</th>\n",
       "      <td>12.0</td>\n",
       "      <td>23.925675</td>\n",
       "      <td>60.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>175.524970</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>70.257754</td>\n",
       "      <td>150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1988.0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>24.085104</td>\n",
       "      <td>70.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>175.698459</td>\n",
       "      <td>223.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>70.443543</td>\n",
       "      <td>161.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1992.0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>24.319680</td>\n",
       "      <td>62.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>175.959574</td>\n",
       "      <td>226.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>70.862030</td>\n",
       "      <td>176.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994.0</th>\n",
       "      <td>13.0</td>\n",
       "      <td>24.422594</td>\n",
       "      <td>46.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>175.158296</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>70.972262</td>\n",
       "      <td>113.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996.0</th>\n",
       "      <td>12.0</td>\n",
       "      <td>24.915179</td>\n",
       "      <td>63.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>175.836214</td>\n",
       "      <td>223.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>70.818289</td>\n",
       "      <td>176.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998.0</th>\n",
       "      <td>14.0</td>\n",
       "      <td>25.163160</td>\n",
       "      <td>50.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>174.589636</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>70.898616</td>\n",
       "      <td>123.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000.0</th>\n",
       "      <td>13.0</td>\n",
       "      <td>25.422476</td>\n",
       "      <td>63.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>176.085713</td>\n",
       "      <td>226.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>71.106805</td>\n",
       "      <td>180.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2002.0</th>\n",
       "      <td>15.0</td>\n",
       "      <td>25.916281</td>\n",
       "      <td>48.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>174.709888</td>\n",
       "      <td>201.000000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>71.164405</td>\n",
       "      <td>123.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2004.0</th>\n",
       "      <td>13.0</td>\n",
       "      <td>25.639515</td>\n",
       "      <td>57.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>175.971393</td>\n",
       "      <td>226.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>71.284135</td>\n",
       "      <td>198.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2006.0</th>\n",
       "      <td>14.0</td>\n",
       "      <td>25.959151</td>\n",
       "      <td>52.0</td>\n",
       "      <td>147.0</td>\n",
       "      <td>174.628393</td>\n",
       "      <td>206.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>70.512440</td>\n",
       "      <td>127.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008.0</th>\n",
       "      <td>12.0</td>\n",
       "      <td>25.733541</td>\n",
       "      <td>67.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>176.209780</td>\n",
       "      <td>226.000000</td>\n",
       "      <td>28.000000</td>\n",
       "      <td>71.375322</td>\n",
       "      <td>214.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010.0</th>\n",
       "      <td>15.0</td>\n",
       "      <td>26.124262</td>\n",
       "      <td>51.0</td>\n",
       "      <td>149.0</td>\n",
       "      <td>174.918873</td>\n",
       "      <td>206.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>70.733917</td>\n",
       "      <td>116.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012.0</th>\n",
       "      <td>13.0</td>\n",
       "      <td>25.961378</td>\n",
       "      <td>71.0</td>\n",
       "      <td>140.0</td>\n",
       "      <td>176.247158</td>\n",
       "      <td>221.000000</td>\n",
       "      <td>30.071474</td>\n",
       "      <td>71.173434</td>\n",
       "      <td>214.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014.0</th>\n",
       "      <td>15.0</td>\n",
       "      <td>25.987324</td>\n",
       "      <td>55.0</td>\n",
       "      <td>146.0</td>\n",
       "      <td>174.818773</td>\n",
       "      <td>206.000000</td>\n",
       "      <td>38.066881</td>\n",
       "      <td>70.572661</td>\n",
       "      <td>116.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016.0</th>\n",
       "      <td>13.0</td>\n",
       "      <td>26.207919</td>\n",
       "      <td>62.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>176.024469</td>\n",
       "      <td>218.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>70.966084</td>\n",
       "      <td>170.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Age                  Height                             Weight  \\\n",
       "         min       mean   max    min        mean         max        min   \n",
       "Year                                                                      \n",
       "1896.0  10.0  25.364356  40.0  154.0  173.569607  188.000000  45.000000   \n",
       "1900.0  13.0  28.454101  71.0  153.0  174.664627  191.000000  51.000000   \n",
       "1904.0  14.0  26.867754  71.0  155.0  174.435046  195.000000  43.000000   \n",
       "1906.0  13.0  27.272610  54.0  165.0  174.946975  196.000000  52.000000   \n",
       "1908.0  14.0  27.061116  61.0  157.0  175.059627  201.000000  51.000000   \n",
       "1912.0  13.0  27.528582  67.0  157.0  175.149494  200.000000  49.000000   \n",
       "1920.0  13.0  28.861062  72.0  142.0  175.220153  218.770915  33.074491   \n",
       "1924.0  11.0  28.101622  81.0  142.0  174.980222  218.578230  34.356723   \n",
       "1928.0  11.0  28.728275  97.0  147.0  175.282553  211.000000  41.000000   \n",
       "1932.0  11.0  32.002855  96.0  147.0  175.826347  200.000000  40.090648   \n",
       "1936.0  11.0  27.506104  74.0  147.0  175.155241  205.000000  37.000000   \n",
       "1948.0  12.0  28.407495  84.0  140.0  175.567741  213.000000  47.000000   \n",
       "1952.0  12.0  26.165217  65.0  150.0  174.812820  213.000000  42.000000   \n",
       "1956.0  12.0  25.949715  67.0  137.0  174.607226  218.000000  28.000000   \n",
       "1960.0  11.0  25.187182  65.0  137.0  173.316035  218.000000  36.000000   \n",
       "1964.0  12.0  24.948374  60.0  137.0  173.546073  218.000000  38.000000   \n",
       "1968.0  11.0  24.263374  68.0  127.0  173.959439  216.000000  34.000000   \n",
       "1972.0  12.0  24.318900  69.0  130.0  174.562405  223.000000  38.000000   \n",
       "1976.0  12.0  23.850452  70.0  136.0  174.865117  220.000000  30.000000   \n",
       "1980.0  13.0  23.734613  70.0  131.0  175.508742  220.000000  25.000000   \n",
       "1984.0  12.0  23.925675  60.0  132.0  175.524970  218.000000  31.000000   \n",
       "1988.0  11.0  24.085104  70.0  127.0  175.698459  223.000000  32.000000   \n",
       "1992.0  11.0  24.319680  62.0  136.0  175.959574  226.000000  30.000000   \n",
       "1994.0  13.0  24.422594  46.0  148.0  175.158296  200.000000  40.000000   \n",
       "1996.0  12.0  24.915179  63.0  136.0  175.836214  223.000000  30.000000   \n",
       "1998.0  14.0  25.163160  50.0  142.0  174.589636  200.000000  32.000000   \n",
       "2000.0  13.0  25.422476  63.0  136.0  176.085713  226.000000  28.000000   \n",
       "2002.0  15.0  25.916281  48.0  149.0  174.709888  201.000000  42.000000   \n",
       "2004.0  13.0  25.639515  57.0  139.0  175.971393  226.000000  30.000000   \n",
       "2006.0  14.0  25.959151  52.0  147.0  174.628393  206.000000  38.000000   \n",
       "2008.0  12.0  25.733541  67.0  137.0  176.209780  226.000000  28.000000   \n",
       "2010.0  15.0  26.124262  51.0  149.0  174.918873  206.000000  38.000000   \n",
       "2012.0  13.0  25.961378  71.0  140.0  176.247158  221.000000  30.071474   \n",
       "2014.0  15.0  25.987324  55.0  146.0  174.818773  206.000000  38.066881   \n",
       "2016.0  13.0  26.207919  62.0  133.0  176.024469  218.000000  30.000000   \n",
       "\n",
       "                          \n",
       "             mean    max  \n",
       "Year                      \n",
       "1896.0  70.982411  106.0  \n",
       "1900.0  72.502816  102.0  \n",
       "1904.0  71.715326  115.0  \n",
       "1906.0  72.309427  114.0  \n",
       "1908.0  72.484058  115.0  \n",
       "1912.0  72.354296  125.0  \n",
       "1920.0  72.791440  146.0  \n",
       "1924.0  72.217506  146.0  \n",
       "1928.0  72.568654  125.0  \n",
       "1932.0  73.867313  110.0  \n",
       "1936.0  71.960859  138.0  \n",
       "1948.0  72.408041  125.0  \n",
       "1952.0  71.097510  145.0  \n",
       "1956.0  71.041599  141.0  \n",
       "1960.0  69.480564  141.0  \n",
       "1964.0  69.759825  163.0  \n",
       "1968.0  69.609517  163.0  \n",
       "1972.0  70.003339  182.0  \n",
       "1976.0  70.000335  163.0  \n",
       "1980.0  70.624903  190.0  \n",
       "1984.0  70.257754  150.0  \n",
       "1988.0  70.443543  161.0  \n",
       "1992.0  70.862030  176.5  \n",
       "1994.0  70.972262  113.0  \n",
       "1996.0  70.818289  176.5  \n",
       "1998.0  70.898616  123.0  \n",
       "2000.0  71.106805  180.0  \n",
       "2002.0  71.164405  123.0  \n",
       "2004.0  71.284135  198.0  \n",
       "2006.0  70.512440  127.0  \n",
       "2008.0  71.375322  214.0  \n",
       "2010.0  70.733917  116.0  \n",
       "2012.0  71.173434  214.0  \n",
       "2014.0  70.572661  116.0  \n",
       "2016.0  70.966084  170.0  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics.groupby('Year')[['Age','Height','Weight']].agg(['min', 'mean', 'max'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 20. What are the minimum, average, median, maximum `Age` of athletes for different `Season` and `Sex` combinations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>min</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Season</th>\n",
       "      <th>Sex</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Summer</th>\n",
       "      <th>F</th>\n",
       "      <td>11.0</td>\n",
       "      <td>23.680377</td>\n",
       "      <td>23.0</td>\n",
       "      <td>74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>10.0</td>\n",
       "      <td>26.464649</td>\n",
       "      <td>25.0</td>\n",
       "      <td>97.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Winter</th>\n",
       "      <th>F</th>\n",
       "      <td>11.0</td>\n",
       "      <td>24.015736</td>\n",
       "      <td>24.0</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>12.0</td>\n",
       "      <td>25.512635</td>\n",
       "      <td>25.0</td>\n",
       "      <td>58.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             min       mean  median   max\n",
       "Season Sex                               \n",
       "Summer F    11.0  23.680377    23.0  74.0\n",
       "       M    10.0  26.464649    25.0  97.0\n",
       "Winter F    11.0  24.015736    24.0  48.0\n",
       "       M    12.0  25.512635    25.0  58.0"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics.groupby(['Season', 'Sex'])['Age'].agg(['min', 'mean', 'median', 'max'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 21. What are the average `Age` of athletes, and numbers of unique `Team`, `Sport`, `Event`, for different `Season` and `Sex` combinations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Team</th>\n",
       "      <th>Sport</th>\n",
       "      <th>Event</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Season</th>\n",
       "      <th>Sex</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Summer</th>\n",
       "      <th>F</th>\n",
       "      <td>23.680377</td>\n",
       "      <td>352</td>\n",
       "      <td>40</td>\n",
       "      <td>214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>26.464649</td>\n",
       "      <td>1118</td>\n",
       "      <td>49</td>\n",
       "      <td>491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Winter</th>\n",
       "      <th>F</th>\n",
       "      <td>24.015736</td>\n",
       "      <td>144</td>\n",
       "      <td>14</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>25.512635</td>\n",
       "      <td>214</td>\n",
       "      <td>17</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Age  Team  Sport  Event\n",
       "Season Sex                               \n",
       "Summer F    23.680377   352     40    214\n",
       "       M    26.464649  1118     49    491\n",
       "Winter F    24.015736   144     14     57\n",
       "       M    25.512635   214     17     67"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics.groupby(['Season', 'Sex']).agg({'Age': 'mean', 'Team': 'nunique', 'Sport': 'nunique', 'Event': 'nunique'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 22. What are the average `Age`, `Height`, `Weight` of athletes, for different `Medal`, `Season`, `Sex` combinations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Medal</th>\n",
       "      <th>Season</th>\n",
       "      <th>Sex</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Bronze</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">Summer</th>\n",
       "      <th>F</th>\n",
       "      <td>24.637527</td>\n",
       "      <td>171.110734</td>\n",
       "      <td>63.903325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>26.382673</td>\n",
       "      <td>179.283138</td>\n",
       "      <td>76.834194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Winter</th>\n",
       "      <th>F</th>\n",
       "      <td>25.115578</td>\n",
       "      <td>167.339043</td>\n",
       "      <td>61.132946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>26.387043</td>\n",
       "      <td>178.831087</td>\n",
       "      <td>77.296962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Gold</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">Summer</th>\n",
       "      <th>F</th>\n",
       "      <td>24.215093</td>\n",
       "      <td>171.594933</td>\n",
       "      <td>64.252235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>26.501307</td>\n",
       "      <td>179.803255</td>\n",
       "      <td>77.426878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Winter</th>\n",
       "      <th>F</th>\n",
       "      <td>25.202636</td>\n",
       "      <td>167.563734</td>\n",
       "      <td>62.006768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>26.606436</td>\n",
       "      <td>179.569202</td>\n",
       "      <td>78.047604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">NA</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">Summer</th>\n",
       "      <th>F</th>\n",
       "      <td>23.547521</td>\n",
       "      <td>168.283937</td>\n",
       "      <td>60.468257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>26.454123</td>\n",
       "      <td>177.557129</td>\n",
       "      <td>74.215742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Winter</th>\n",
       "      <th>F</th>\n",
       "      <td>23.855915</td>\n",
       "      <td>167.281733</td>\n",
       "      <td>60.539905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>25.386328</td>\n",
       "      <td>177.741840</td>\n",
       "      <td>74.861337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">Silver</th>\n",
       "      <th rowspan=\"2\" valign=\"top\">Summer</th>\n",
       "      <th>F</th>\n",
       "      <td>24.296089</td>\n",
       "      <td>171.310947</td>\n",
       "      <td>63.903671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>26.690500</td>\n",
       "      <td>179.391244</td>\n",
       "      <td>77.017761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">Winter</th>\n",
       "      <th>F</th>\n",
       "      <td>25.240527</td>\n",
       "      <td>167.916040</td>\n",
       "      <td>61.921625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>M</th>\n",
       "      <td>26.430566</td>\n",
       "      <td>179.030573</td>\n",
       "      <td>77.429293</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Age      Height     Weight\n",
       "Medal  Season Sex                                  \n",
       "Bronze Summer F    24.637527  171.110734  63.903325\n",
       "              M    26.382673  179.283138  76.834194\n",
       "       Winter F    25.115578  167.339043  61.132946\n",
       "              M    26.387043  178.831087  77.296962\n",
       "Gold   Summer F    24.215093  171.594933  64.252235\n",
       "              M    26.501307  179.803255  77.426878\n",
       "       Winter F    25.202636  167.563734  62.006768\n",
       "              M    26.606436  179.569202  78.047604\n",
       "NA     Summer F    23.547521  168.283937  60.468257\n",
       "              M    26.454123  177.557129  74.215742\n",
       "       Winter F    23.855915  167.281733  60.539905\n",
       "              M    25.386328  177.741840  74.861337\n",
       "Silver Summer F    24.296089  171.310947  63.903671\n",
       "              M    26.690500  179.391244  77.017761\n",
       "       Winter F    25.240527  167.916040  61.921625\n",
       "              M    26.430566  179.030573  77.429293"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics.groupby(['Medal', 'Season', 'Sex'])[['Age', 'Height', 'Weight']].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 23. Plot the scatterplot of `Height` and `Weight`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x19f8abf8ec8>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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y7Uq3GHgkRKnR3Sg2NFwxPNPCzKJsHnxj71llFUa7PtHi9KHX7Wzi5L2dGv51RdFxK1yWXAjNcDQXu6QYXVhb5NpV0WTvsdNcaKX1BRMHsvTdkrN2zot2faIlLn3Z66ZUhf9yKB23wmXJhegwoo1WXV4vT84YzqLJuejUKn5/20iyk4xSux6fns/rO09FbBctozAYrnhv0ZWooozgq1uc+P0iZXVtfHKsnrK6Nvz+zvmuaNfHmmE5p9cttK1/XTiO9xZdqUxM9gAlVKJwWXK2sdhzQTRVSbxJT4vDz4qtZVI443c3DSczwUBijB6VAE12d9i+zjTKDYYrWp1e2WNmJhi7nUTs7vpEW/5lVTpfVYJ4OaKoShQUzhPRVCUj+8Yz5dltUZUVX0UB82WPebYosr5e4/yqSgRBWAVMAWpFUczvWPZL4G6grmO1h0VRfK/jvZ8D8wEfsEgUxX/0VtsUFL4qcqNLoNsRp0aj4n+GpZOVGF5sYM/pFtlwxhdVNlxeLy6PSKwh4O7XNeX9TL7b0epf7ihvPOMk49l4el8Ilc7lTG+GStYAzwLruiz/vSiKT4UuEARhGHA7YAX6AP8SBGGQKIq+XmyfgsKXItroUqcRuO+Vz6OOON1un6wnyficBNlwhloQON3s4s8fHWXSkHSWf3A0bN899SSRq395JjWH0+ll0/6qHvudKLK+80uvTU6KorgVaOzh6tOAv4qi6BJF8ThQChT1VtsUFL4K0UaX+061RCwLVX7sO90iddrBdR59+wC1NnfEhN/iyXkse/cL7n1lN/MmDJQ67dB976+2SR2rtL9NB9jfg1qLZ5qc3V/Vclb7Vpz9zi8XYnLyPkEQZgM7gZ+IotgEZALbQ9Y51bEsAkEQFgILAbKysnq5qQqXI2fyB4k2uvR3mS4KjjjTzFpKqtuosblYMWsMq7cd58Mj9dI6NTYn1+dnMGTRlRyuaeVglY11nwQyJQEOVdui+mv3xHc7Wm3N4CRjQ7sLAYHGdhf7K1uwZlioPktP7+CNoOtTiCLr6x3Od8f9Z+AxAoU9HgP+HzAP+QC87KypKIorgBUQmJzsnWYqXK70xJY0Wpih6xycQasiK9HA/x2oDQs5LC22AvDhkfoOn2yDpKw4VtfG8i2lYfvxi8geL+i7Lbc8yJnKemUlmNhd0RTx/sDkmDPuO5QLodK5nDmvOm5RFGtEUfSJougHXqAzHHIKCK3H3Bc4fT7bpqAA0cMZ+053hgiihRmG942LWHaqyRURcliyqYQ5EwZIN4XhfTqLN+QkxUSEHN7ZW8kvpgyL2HdBuoVl08KLQSyblk9BSDGIaEk/wQScaO9rNALLirvsuzh8313pzYovCuGc1xG3IAgZoihWdfx5I3Cg4/Um4BVBEJ4mMDmZB3x2PtumoACRZcSgM5wRJNroEuC9Lsv+b3+V7P5sDg/r5hah1wUmD0PDGWvmjqW0ppXqVjcZFj2D02OpanGxbl4RXp+P1FijJBOMM2p4asYI2t1eYnQatBohLJU9WtJPRaMDEAIOhDLvn25yUlyQwYBk01l7el+K+P0ix+vbKW9sJ0anIc2iJyvx4n1i6E054AbgKiBZEIRTwBLgKkEQRhIIg5wA7gEQRbFEEITXgC8AL3CvoihRuBBkRAmDpFnCJ9miJY10XRYtnGExapm9+jOWFltJjNHzaVl4uGLJVCtbD9dypLaNxZPzWPdJOU12N0uLrSSZdahUAvsrm1n81z0R+w4tzBst6UcEblvxCX++c3RUq1mDQdNtceGvC3IqocWT88hLMzNpcNpF2XkrCTgKCiF8ldJboZOaeakmbA4fLp+P0yHhkmCMe/P+KinGvW5uEbNXR1Zlf2LGCBZt+FzqSNpcPtQqmJCbTGF2Iu9/UR1WqT4jzsBNo/syJD2WrEQT1gwLAO+VVFFa24ZfBLUAA5JjWLXtOPsqbWQnGXnw2iEcrmmV3s9NNXO9NQO/X5SdpP2yGZLn2/+8p0Szll04MYfpIzMvtJxRsXVVUDgTOp2a6cP7kJMcc1ZlxNxuH2/tPc2jmw5wgzUNuyuZRzcFzJ2uGZbMmrljqWt1YzFqWNNVVdLqYlCqmQUTB+JweTHpNbyw9RgOt5eMOAN3jssiPc7Aifp2Xtt5ihVby3j61pFkJXaOpjPiDMwanx2m9Q7Ws3R7w9PpH5+WT1KMLtBur4jD4wtPt795OIdrbZRUtobruKflU5yfwQdH62QzJCF6AtLFnFnZnUroYtWhKyNuBYVzwM4TjXx35ac4PX5euXsc89bsiBjBrZtXxOxVkSPrVxeO54uqVpa+UxIWKumXaGDfSVtYZxwsqtBkd/PufRPYc6qZR946wPwJOazcVtbjYz4/awx3rdrBosm5Uqcd+v6qOWNlz2H9vCJmyezv/34YkDJG65gv5oIJl+KIW3EHVFA4B1S1OBmUamb5zFE0tMlP+Ll9XpYWW8OUGkuLrbi9fqnTDq679J0SRFGISLxZ/sFRbhrdF6fHT327iynWDNbPK2JIeiwLrswhI84QdsxoWu9muweDVsXAFLPs+w1tLtn9RdN3VzTKJyUFE5C6y6y80MiphBZPzmN437iLVoeuhEoUFM4BWYlGZo4LFCxYPWdsFJ23ms37q3h+1hhsDg8Wo5aXtx8nZkS/qJ2r3HJB6JgwjTVEFGboWuYs2uRousXAqwvHY9ZpZN8/VN3Gym1lEftLj7I/k04j21anx8uO4w3Ut7nZcPc4Xt9RwZt7qqTtumZWXog4eFAlNPiHV1LR2I7pElCVKCNuBYVzgMfXOWp+fUcFy7qMrJcVW3ljRwUfHqnnnvW7EBG4Z/0uRmUloVbJF0/IiJNPI1cJ8PStI2l1eiI02MEReTDGHU3rPapvPCP6JTAgxRwx2lw0KY83d5+K2F9QIy6nYQ/eIEK5dUwGBypbmbXqM3644XPmrtnB+IHJ3DQyQzazMhgHv2H5x8x84VNuWP4xm0uqw3zCewuVSmBgqpmrh6QxLieJ/skXtw5diXErKHwJuqbF17a6+P7LnQqPm0ZmMGNsFg1tblJj9WzcVc5ru6owaFU8Ni2fPvF6Pj3exOs7T5Fi1jGzKFuqVBPsdIsL+vCvw7VhcePHp+czJD2WIWkW/nWoJkxVEuTZmaPol2jEmhGHRqOS2hocxaZadFQ2RboaHqlpZX+ljTd3n5LS7QH+OHMUGXGdk7TBUXFXDfv243V4fdDY7iExRkuiSceM5z+JjLvPLSI5Vh8xmj6fcfDgObS5PLg6Jojl7A2+CmeyTughiqpEQSGUL/vDkpMMrppTGBZCeHNPFe+V1PDqwvEMTbOgVglMHJxOekfHufekTUptr2pxklQSDKF4SbPoSY3VsetkE3kpZjYsGMepZifJZh2v76jg0OkmrrFm4vGJrJs3Nsz7JJBmb2R4h44bAkqZwv6J0og2OIkaVJAMSDbh8vjx+kWGZsSSYtZR1eLkppEZ3DI2i/o2N35RxO3zoCPQcbc6PTTbPRi1Gvx+Eb9f5FSjK8JN8IoBiVLbIBjXdlGUE6kP7y4O3ifW0GOL2TMRvA5vfV7B5KEZLNnUecPsqfTzTHwVWWlPUDpuhcuSr/LDkkuLf/r9wyyblh+xv8EpsRGj5sWT8xjZLy5Myjd2QBL3rN8Vtk4w6Sb09Z/uHEV9q0fSfYd6n3xyvJFlxVZSYrWy7ZZzNVz/yXFuKcwK67yWTLVyVVMbfRPNzO1QlgQ74uvyU3j/i7oIb5PBaWZZN8GVdxWGddzd+Z1E84BJMunPymL2TASvw/OzxkjXXGrz2wfISY6hsH/iWe83lGjWCedi36DEuBUuU3riSRINubT4neUtZCfqWTO3iD/OHMnauUUcqWricF1rRGf5zJajlNa0SwqTm0b3jVCPPLOlUz0S+lqjUsl6n9z9rYHMn5DDcx+VcrJR3sFPbkQ7+xs5Uqcd3N/Sd0qYkJcm6dCl67PpAIeq22W9TVpdPmnZ1YOSWTtvLL+9aThmnYYXZ4/hdzcV8Owdo3jmtpFR/U6iecC0uTxf2r62u+vQ1C4/+Rtqb/Bl6Yl1wldBGXErXJZ8lR+WXFr8NcOSKW+IzJB0eKJ0Dm0uSk41S+GRaOqRrq8bo3Q2da0unvswEHqpaQ3vuIMhIY/PH9Fuh1v+2DWt0a6PvBywqd2NQaviigGJXFeQwT3rdzEo1czMcdlh+vTHpuWHeamEEs0DJprfSzSL2TMRHNknxmh7ZG/wZeipdcKXRRlxK1yWZEQx/u/JD6ugT1yEUmPehIGyI2GVoJY9jigiKUzkFBnBdbq+DnY2XddNidVz36RcspOMpMXqpartwZDQd1d+ykMb97N4cp60fXaSkaxEU9TrIL9cvq2psXqWFluZO2GANIJfMHFghD79F293OhPKIecwmB7lmNFCLmciOLJ/afvxCF19V7fGL4vcd+Rc7RuUEbfCZUrwh9U1Jt2TH5ZcWnx1FBe+2lYXy4rzu8RnrWw/Vi+FAgrSLRHrBOPaXV97/X7+fOco1CqVpN7w+v288O9jUoz7SHUTs1cf5elbR5Iaq5fOsarFyWdlDayYNQanx0+by8v/e/8QS6ZYwxQtS6ZY8fq8LCu2SuGSYFx5UHoMj0/Pj4hxD0mPoc3loSXk6cHhkh/NV7c4KcjsuV67ICNO5hp2bzErR6hGfHBaLA/fYKXV6WH9vCJqWl2kR7E3iFaI4my/Iz2xTugpSsetcFnyVX9YQaVGkM+ON8g+GqfG6nngH3uZPyEHQQBRhOc+KuXJm0dw3+RBkpSuf4qB1XPGUt/mIjVWj1olMLJfPMlmPa1OD33ijcSbtOw6Xk/fRHNYhxqcnAzEfkuYPyFHylx8asYIqU3DMy1cY81g4fpdYSnybm85T8wYgdPtJS3OwB+3HOGHkwex80Q9q+aMpaHNRZJZz1u7KxicbpYtPqzRqCjKTqCkuk26Dia9fHJPusVwVr4lBoPmK1vMflmvlDMVouiOrt+Rc4mi41a4qLkQmXShMsF0iwGTTkVZvb1byeB/Sms51eQMU2csLbaSmWDguy/uiFj/uTtG8T/D+wAB/fKDb+xh9jdyJJOptf8t44kZI8lJMfPO3tNUNbUyMiuZmlYXcUZNhATw+Vlj+NnG/dw0ui9ZCUZONjvYuOsUz9w+kic2H2T2N3IQAEGAFf8+xsTBqTz7QWlEu5ZMGcqQDAv1bS7ijNqw4wA8/93RXJuf0e21C6p15GLcj0/PZ2z/BK79w/n1LfmyGvG9J5u4bcX2iO1CrXN7GUXHrXBpcSEc5eRkgkEb1rKGdpZMtWJQq+mTYMDnD7jHZcQZ0KnV2F1eVs8ZS4vDg1Gn5uXtx1lwZe4ZJ6laHG5mjMniwTf24vQE3AR/eu0QSk7bqG9zMSrLhMPtk5UAfnikHqfHj8Ptk3UH9Pp83Do2W9p3dpKRR6dYZScqDVoV2UkxYRLArmXW0s8wB9D1SSYr0cRf7x5Pja1zdL6jvDGqXvvLdtyh4YzsJCMujxjQ53eENs62Cn3w5l3V4pStE1rd4mREv4jNzhtKx61w0RKtmvqQXhyZyckEl2wqYdWcQvZUtPCDl3eTYNIx+4psntlyNOx1sLNbNCmPV3dWcO9VeVjTzWeMpfv98MuOUenVg5KZPDSDOavD9dP/Ong6ok3PzxojdagWozZCUvjIWwdYMWuMdOyMOAO3FWZx7yu7uWJAIkuLreHJJ8X5/HXHCdnjfHK8kSVTrcTHyGvEQzlTiCCaXvvLVoQPDWdEG+UXZifIHjPFHHnMaDdvCLmBxV3Y6vWKqkThouVCOMpFkwm6vaLUMd40uq/UUYe+Dq67/IOj/OSaITz30VFq2jxMH96Hl+aP47k7RvHS/HHk94nl/UM17DrRiNvtCzvmnBBVRnB/j246wJ3jB0S0Kejwt6zYSl0U+V6Lw8Mzt4/ikf8Zwo8m5+Hy+kgw6bhxTD/+9FEp8yfkcN+k3A4N+FGmhAwjh2daeGLGCGwOb4cuvTksFf7LEk2v/WWd+EqqWvjjB0eZPyGHn1w7OELJ8shbB2hoc4cpaoKTvmqZHjDazTtYJ/Tx6flYz3Ji9FyjjLgVLlrO9cisJ2RYDGQnGZkyPFPSTr+ztxK7uzPBRBCQfR3E6fFzpKaV8gaH9Che2D8xYiSXnWRkydRAKbLgeUZLCmm2e8KWBcMtz88aw5ptx7H2jZe9VqeaHAARTwSi3095g0PSfkvHcnuBQKc9s6gzxBK8QfSJ/+rXvruK8GczpxGsE1llc0rKmKwEo+z1q7I5WfdJedgk8bpPyhmVFU//5PCnt2g3b5vDy6sLx0uTsRcSpeNWuGgJjsy6xrh70yPZmm7h3qvyIuR7dpcnrGOM9jr4tyhG3mRCR3LBsMUPXt7Nw9cPYclUK0vfKekmKaTTTjXYpjijmhv/FIh7H6ppY9GkvIiiCz6/yLMflkY8ETw/a4zscTITAlV1FkwcKHXawe0e3VTCS/PHkXUOhBJyNTvPZk5Dbt1Fk/KwGKMrWZrs7rAbVbRBQLTkmYw4w/makDwjiqpE4aJGzomuN1Ul0dQHL84upLbVxcN/29/jGPdD1w0N63Te3Xea+175HIB7r86V5Hj3Tcpl6+FaFkwciFmvor7VE5GBWdnYxpgByTTbPaRbDLS73Bh1amx2DxaTnrpWFxnxBpweH812D4eq23hz9yluHtNXVj3ys+uHEGfUhsWClxZbyYzT4UdFi8PDDzfsidguVA3TE5xOb4/Noc5G+RFt3YevH4JWre6R02K0m0JvG0SdJYqqROHSI1o19XNNUJVwsskh+5isUQvcMCydfglGqm0u+sYb+Pa9E2iwBxI3rhmWTm2rE5NOjcfn57r89IibTOhIrmuI5UhtG4s2BDr1qwcls2LWGFocXqlG5aGaNnyoEQSI1Wv400fH+PVN+ZxsdLL4tfCJzOxkA4kxCYzPCTgCyo0eh6THYjGoWTeviBqbkySznjd2VPDJ8SZuKezLNwcmRZnM63m2otPpPStzqLNRfkRdt83N1sO1PDVjBCoVZMZ32ttGC890pbeTZ84FSsetcNkTqkpYcGWObIeVaNKy6UBVt6Owgand31xCszWD+3V6/GzcdYplU4dh0mtpd3mJMWiobnbQ6vLxwBuHSTDpIqR+S6ZaaXP6ZY2gXr1nPIfqW1myqYQEk47Fk/PCngiWFlvZ9PkpctMsEaGVXSebyUo0YdJppPBN6DGNZ9F57a9qkTWHGpBsYuyASFvXs5nTiLauKAZugieb7Fyfnx4Wvz6bQUBvJs+cC5RQicJFTW8k4HR9fDdo1dzSYfifEWdg/oQBPPX+YanD+tl1QxjeN447Xvw0oqMILQpgc7k4Ut1Ojc1FZrwBk15NU7uHhBgtdpePymYng9NMNDt8UgagXgNVzS5sLl/EpKXT4yPepKO0ppVNeysjEnR+OHkQd63qTO7JiDNw0+i+FGRaqGhox+0TcXr9mPVqRDEwZ3DgtI1391Xym5uG89buCqaPzsLv96FTa6i2OclJicHuDrQv2azDpFVT0WQnNdbA5v2VjBuYwviBCdJ5pln09EnQcLLBI30+Xq9f0kB3TRaCQGGGrESTlDoe+hl7fSKPvL2f8gYHhdlx/PTaITS0uekTb8DrE6lrc5Fs1pMaq6e0ro37Xvlcuma/mGKl2e5Gr1HzwtZjPPw/Qxmfk/yVvisXAUqoROHSojcScOQe3x+blk+CKVA8IMWsIylGx8KJOfhFUAkEOl5PFN8Nm5PZqz9j8+Ir+Ox4K49uOiAb9148OQ+Hy43D7e3i/2FlcJqJH72wI2LSMjRGe+e4/mEKjyVTrKiFzjBIRpxBGpUHjx+clAyOpgUBaXLO6fFS2D+ZNf851lFMYLfk7Nc1+3Pz/io+Od7I0mIrQ9KNvH+gLmLy1u1xM3fNUVbNGcOpJle3Gugks47bVnwSNfb8u5uHk5Ns4lB1G3NW75DVZi+ZaqVPvJ6/LwrUiTzV7OS+V3aHXe8zJQtdyig6boWLlmgJOMHK4V8Gucf3X7x9gFsK+wKwYOJAfv63/SzfUsqzH5SyfEspD23cj04t7/KXZjEEYqs2n7RfOW33M1uO8k1Zj+sSXF5BWibnzf3IWwc43tAetmzpuyXoNBqptmXodtG05fEmndRus07Lo5tKuHN8p25cTkMe1C8HX9e2+mTCHyUMSk/A6fHj9dGtBjpYezN4XvtOt0R8xg9t3IfLK/KLjv3IuQwufaeEVocPEeibEMNj734Rcb194ffZrxXKiFvhouVs05R7QnUUP+mBKWYMWlVUR7tam0s209Dj9/L8rDE4vD4WXJkDgE6tYlCqmQUTB+JwBSYY61pd1LY6WXBlDht3ddZ0dHoC9Q6jTVoG1+laLzfYpu3HOo2ggttF20eNzSGNvms71m9q93DFgETmTBiAzdG9hjywD/nrV9Pq5PHiwRg0ap6cMZw0i4EjVU08sikQcrI5PLxy9zia2z2My0nm6qHpvLD1WFTNdOhyh8sbdj1Neg0vbD1Gu9tLbasTUZQ/37o25xnnHS5VetRxC4LwO1EUHzrTMgWFc0lvJOCkh+ihQ/fZN97IqwvHY3f7ohxTz4vbTvL8rDE02z2kWfSs2naM/ZVtEWGRFbNGkxKrDw9tTLXywtaygHpkUh7rt5dT1eIMjNpj9dJEYPB4XY/fNTIUbNN7JTW8uaeK+yaFe6LI7SPepGP+hBxe3VnBkzNGdHiTGKTCByuiaLvjTVrpdVqU65dmMUT4qSwrtvJ48WAe//tR+iWYOFjdGhHu6N/hB951f6EKnNQ4PTPHZUdcz0BtTkPU8+3NRK0LTU9DJd+RWXb9uWyIgkJXznVqNHR6O4fuc1lxPtZ0CyP6JdA30SCFHzrft5IWp+Pbw/pwz/pdCILAQxv3kZcWz8M3DJU67cDEZg4gyD7aL5g4UApb3DS6r7Rvgw7SLVrWzi2iIDOOX91YEHb8x6fnk5tqDm/TtHza3Z1p3Bt3nZJ9HVx/yVQr/+8fh1m5rYx7r8rlSFUTy4qttLv80lPE6m2RhQWWFltZs+24dJ0yE9Qy1yefWL1aNgw0KD2BpcVWmh1u2Wvi9Ythn3F2kpEVswpxenysmlPIw9cPRqtS8Zd/l0Zsa9Cq6Z8U0yvfk4udbkfcgiB8H/gBkCMIwr6Qt2KB//RmwxQUukuN7glyBvhn8nbOjIuhf4pD8sZONutRq0X6JZjJiDWRkxxDQ7ubO4qy+f2/jrDgypyIycGsBKvso7ujI53c6fEzJN3M2rlFIPhQCQJ1rV4e3RSI9RZmx7HyrkKa7B6SzXr+sb+S64anh7XJJ/rw+AhL4wa47+pcspNi6JdgZEx2AjW2gHuhShC4e2IOaRYDFoOao7Xt5KbGUFprl9oaVH4Eyql5SIzREWfQYtJp+P7VuQxKj+HjI400tztYNzdQfCA1Vs/GXeUYdSrZc65pdTGyn4UjNXb5921O6TNubHdR2exk4fqdYZOq//vWfuZ9YwCtLi9Ob2AfG3edotnukb4Lod+TFLMBtQo+Pd5w3qyAzzdnCpW8Avwd+A3ws5DlraIoNna3oSAIq4ApQK0oivkdy54EpgJu4BgwVxTFZkEQ+gMHgcMdm28XRfF7Z3kuCl9DvmwCTncG+AaDRlZHHDxeYVYyJxraEQTCbhZBbe+u8kYW//XzsLBE6ORgtAICRp1Gen2ouo0fbtgjSQpDJ/x2lrcwf+1Onp81httXbKcwO46hmQlhSo0lU60MS4+VTeN+Zf44KSxxgzWN8QOTI5Qs24/V88AbNayZOzasrR8eqeeT44389e7xHKltY/7bO8OuX16qmQfe2IvTU8qLs8ZwV0doZEZhdpQQip7B6fE4PfLhjPQ4g/QZA3x35WcRk6qLJ+dh9/jCVDKLJ+fRN8EY8T3pnxRz3q2ALwTddtyiKLYALcBMQRDUQFrHNmZBEMyiKFZ0s/ka4FlgXciyfwI/F0XRKwjC74CfA8E4+TFRFEd+qbNQuCw4mxJSJVUtstXI81LNFGTGc6KhneoWJ3qNihanm6QYA/EmDaebnfRNNNDQ5qKu1Y1aEOgTa8Bg0EjHr25xkmDScdPovujUKn5/60iO1bVJx3ph67HIcmBTrby49Zg0ily/vVxqV02rS9pfcOQcHFEatCp+/J3BzF+7U9r/oFQzsXoNJ5sdrJk7FrUKKptcJMZosbs8tHt8Ulhixtgs5nX4awMkmHScanZwTX4GVw5KIc6g4Ymbh1Na14ZfBItezeB0C6ebHVQ22SWZZIJJR0WjnTiDlhdnF2J3+3B4/dLEZo3NyZq5Y1m17Rjvf1EvhVCyEvTsrWiiyuZk1ZxCnn7/MDvLWyjMjuPH3xncMUnbTLxJw5GaVtlRed8EU8fNootKJzcJv18M65AvhBXwhaCnk5P3Ab8EaoDglRWB4dG2EUVxa8dIOnTZ+yF/bgdmnEVbFS5juhtBAxEdelWUGpBVLU4qmyPNiV7d+QXf+1YuVU1tEaXBlhXnMyU/jfe+qOGRtw7wo2/nseDKATz5j84knb98t3Nib1+lDT4r56kZI0CAOIOW003t3DcpjwOnW6SJSegwdoo3yOq+M+ONrJg1JswxMOja99MuE3UbPi3nSG0by4rzMen90vr1IWqT0HBOcNv7vzOIOIOGFVvLJP33PS/tCrs2mw9UcV1+hrRdYXYciycPxu3zc/fEHJ7+Z6Azzk4ysmSKlRtH9yMpRk9Tu50PjzRGVHl/dGoMh6rbpZtR8BxcHq/sqNweRemzvayRU03OsNF0byiRLkZ6Ojn5I2CwKIpWURQLOv5F7bR7yDwCYZggAwRB+FwQhH8LgnDlV9y3wteMaCPoA6dbeGtvJbet2M73XtrNbSs+4a29laTGylcGT4rRRYzIln9wlCnDM1n6TgkTZLXWBzhQ3SodP0arkTrt4DpLNh3gl1M7J+2CadfpFgN3r9/JQ38rQa8RMGrVNNndUnsWTw4kxsjpvg+etjF71Q4QkPa7YOJAaSQfXDd04vPRTQcwaDXS+ukh1drlNOJP//MIlR03uWj67wUTB0rbDc+0cPPoLO5ev5P7XvmceWt3cvPoLK4elBxIHHplN99/6XNmr/oMm5OIScVfvH2Adpc/Quu99J0S0ixGFk0Kn1RdNCkPe0eH3vWzHJphidD1R6tO/3VTmPS04z5JIGRyThAE4X8BL/Byx6IqIEsUxVHA/cArgiBYomy7UBCEnYIg7KyrqztXTVK4yIk2gq5sdsh26GpBYMmUcPXDkilWnF750VtQ+1zTGkWnbHMxKNXM8pmjSLboI9Ypb3CQEKMLK0yw7pNyqlocUmdU3eKSJhND1zkVxdiqps3F8EwLWpXAEzcP59k7RuH2+mTXdbi9kqqlxubiL98d01HCy8sTNxewaHJuVK/qoEY8mv47VNsue+N4N5Bg0/Wm8Iu3DzBleGbE/uqiXGO3z49KFZhgfeqW4TzRYRSVnxknWwQBUZRG00EuF4XJmVQl93e8LAM+EgTh/wBX8H1RFJ8+2wMKgnAXgUnLyWKHUYooiq7gfkVR3CUIwjFgEBBhRCKK4gpgBQS8Ss72+AqXJhlxRtnH6MQYnXyH3uJg4+4KnpgxAofbi1GnYd1/y/jFlHxpP8MzLYGkjo5OrzA7rhudcqeW+E93jJZdR6sSIiYKk8x6fv3eIRZOzCE72SQ7mRhNrz4mK54rchL5fUcowqBVsequQtl1Y/UamZqTBRh1Go7X21mxtSyqgVaMTs29V+cyOC1W9v1+iZ3XPlqCUrNdPnmna4UZg1ZFSqz8NRYEgT/8KzAZWdfq4nebD2PQqlh++yjZIggP3zBUGk3bHW4OVLdKSqHNiydQbXP1qhVwaFHp7gpJ9wZnGnHHdvyrIDCxqAtZFnu2BxME4ToCk5HFoijaQ5andEx+IghCDpBH4GahoACANcPC49PD9dePT88n3tQZFghi0KrIjDMyb0KgGMBDG/fz4Bt7mTdhINYMC0/fOpLC7DipwstDG/ezcP0ubi3MIiFGTqdsxWJQS7Faj1+UHQHGGNQR272xo4Imu5vMeCNxBkF230kyx1w8OY+H/3aA+R2hiOGZlo7QxmGWTQu/DkumWqlvc8mkyu8H4Nd/P4TTE3Ah7BqKeODawaRbDKzcVsbuE/Wy7dt+rE4636Bipuv1TozRyS4f0VGZJ7Str++oiHgaWlps5W+7TkphIl+HHe3Tt45kQFKMdMN79oNSnvuwlCa7m7pWJ49PzyfVrOHdAzXMXvUZP9wQCNN8dryZ4RkWclLMvdZpv7XvNN9d+Sn3vfI5d678lLf2ncbt9p3zY8nRa+6AgiBsAK4CkglMai4hoCLRAw0dq20XRfF7giDcDCwjED7xAUtEUXznTMdQ3AEvL0JVHcGK4UDUSUuVSpAtwuD3i+w80Shl+QUxaFWsnjMWn+hDLajDNNNtTj/fe2k3EJggnPvNARxvaJeMqHJTzJTWtDA+N5WGju1UKpFam4fUWD0rt5UyKD2ewakG0ixmalqdpMUaqLG1gaBhcHoMze0+Gu1uvqiy8frOU2ETmE/MGCH5da+dW4hRq6GmtcNhUK2iosnBDzveD+WPM0eGFUQIOghmJRrRqQWyEmO4c2XA9fCVu8fx8zf3SWXbRBHe3VfJEzePwC8GQip+0c/pZldY6v+SqVaG9YnlWG07D/9tv7T81zcWUNg/nqY2D1U2J4kmHbVtTn76+j4GpZpZOHEgPlFEqxJY9Z8yxuWkSE8jz393NHlpsfRPiqGisZ0th2rDJoOXFltpbHfz1x2BLNDZqyI/y3XziiiKIvv8quw80ch3V0a6Rb40f9y5toP98u6AgiC8Q0BFEkoLgVDG86IoRlQQFUVxpsyuVsrtXxTFjcDGnrRF4fJFo1Exol8CIfVsAZg+IpO8VHNYhx60C4VAB9SVujb5OGuT3c3VuSnsr7YBAlq1QIxah1rwhdWibHV5GJpuwSeKJJi0mHUaYg1qNCoBQRBQqwT2VTQwIiuZYelmFlyZS22riz5xejpySBABs0HHoep2BiTpABUen8jrO09FSANFUeS+Sbm8s7eSBJMOT4eDklqF9NN+7Z7xJJjUHKpuJ79PDHWtPmpaXbx6z3gsRjVHq9tJidXzt90VjMmKR6sWaGjvvA71rS7ZOpS1rQFL3VidyIkGH5v3V0mp//EmLWu2HcesVxNv0rB27lhsDg9xJh1Ndg/VLS5SzGoqmkRq21x88EUNf7pjNLtPNnOwupU3d3feoMYPTGF4poWFEwfi8YnUt7lQ4WX/aTsvfnycJ2eM4Hh9O/2TYzjdbKfd7cPtFaX5h65eJjU211lJSM+GaB4rNbbeK2QdSk9NpsqAFGBDx9+3ERhFDwJeAGad+6YpKPQMuQ49miXsNUPTeP9gDSLyCSF94gy8U1IdluyyeHIetS127r0qNyKRpbndQbvLyOs7K7h5dBZL3/08TEaYlx7D/x2ojWr3uqzYyvSRyXx81Majm0p45vZRstJAg1bNix+X8YfbRnC4pk1yzouUA1rJTtKx44Qtoq0HTzezYWcly4qt7KlowKgPhDeC1yFa7DnJrGf2qs9YVmxlUJqZopwk7lm/K6x9Zr2a77/8OU/OKMDh9vPDv+4JO/apxjbe3lfND67KZe+pZl78uCziOKlmHTPHhUsdlxVbyU7W02R30+Z0o1ULYZ4liyfnkZNskvUyyU01RX0a+6qdd7S6lGnnyUq2p60fJYriHaIovtPx77tAkSiK9wKje7F9CgpfimiJGCVVARvRFf8+Fqk6mWpFEIQIqdozW45y1dB0WS+O4VnJLNlUwuxv5ESoLR7ddIAj1e3d2r0+uqmEk40+ad8nG9tlpYEnGwO2rl4fUqcdfD8oB7zBmka/RBMCWtm2XluQKb3+Rl4az2w5Sp94kxS/fn1HhWyMO2jD+uimErx+eemiTqPG6fETZ9TJHvubeWlMGZ7Jkk0lvLYzMtb+iynDyEuLjfAzeXRTCYKoYdGkPPolxsgeu93tk7d9dfpkFUclVV9dIBesZhR2rablM7xP3Ffed0/o6Yg7RRCErGCmpCAIWQRi1xBIX1dQ6JbeqGTTHTU2JzdY05gxNov6VhcpsXpe31EhyQqDSTJB1Um/BBNaDVQ2y0vzolmeBu1Uo6ktQm1QBQHZDMnQzMlYvVZeteEI+Jy0RzmOz+dn/MBk5q7ZwZMzhsuuU9fqDHvt9PhpdXrCFBsGrdDhieIm2ayjrtVBn8QY7puUK9nRyu27vi3QDTS2y1+n2lYnsQZ1pzKEwARvu9vHxEFJ2Nq9YclCYdew1cmgNDNNdo/89YtmNRtleXWLMyLcdrZc6LqUPe24fwJs65DpCcAA4AeCIMQAa3urcQpfD3qjks2Z6JtoYPzAZCndOzh6zAqRtu2rtLFow+cYtCr+dMdo5q3dzYuz5eV26VEejVPM+jC1hZyMMLjcrFfLhkGyEo3S8miSvWCcPsYgf5zMeKM02ZoaG6WtIRaowXVSY/WyEsV184rYVd4U0daMOPlwSrI5UKQhMUYrfx1iDdicXv7wr/Aal0eqm+mXYGTJphLJalYu/DB71We8NL8oSoap/Pkmm3W9Gs64kHUpexQqEUXxPQISvR/RmUX5f6Iotoui+Idea53C14ITDe38bvNBKfFkwZU5/G7zwa9UyeZMVDe7ZB/Z7W5/RILGr24sCAtzyEn9fKLIz68bwqLJudw3KZfFk3P5+XVDqG9z8ac7RvPO3pMRoZdlxfkkxqilR2qvT5R91Pf6/dJyOcne4sl5vLn7FAatCq06ENLpGuJpDymttnl/pWzI4x/7Kztj83YniyblcazDHzx03UWT8nC4vbJt1apVstfH7Q34mLc43LLHFlT+iCo1yz84ytwJAyWFStDjpeu2Lm9gpN1s98i2yaxX81iXsMUvp1qpa3XIXiu99tI3mzpTAs4kURQ/EAThpi5v5QiCgCiKb/Zi2xS+JjS0u7itMCuionhju6vX/COiVbqpanHyPwUZJM0t4uPSekQRTFo15Q0OANpcXtlkj6EZsbh8flZsLZPO4f7vDKK80c4zW47y6xsLSLVoWTe3iNo2F6lmPftO1vPtp/d12LSOpdnujtKmzrZWtThZvz1w/CHpZjQqFdUtDr7/rRwGpVtocbjZ8Gl5WGLRi1uP8ciUYdLocvUnJ5l7BaydW0Rtq4u0WD0WkxqjTs138vvwxo4K+iTGsHHXKR6+YShPvX8o7Hxf3VnBY9PyZdta2eyImgyzfl4RbS4vIm7WzC2irtVJklnPGzsqMOjS5EMoIZ9TaPhKQJS2HZRhYdb4bPZVtkQJAbmxGDU8NWME7W4vMToNKgHq2128sfNUxLVKNOUyNCP+K3/HLiRnCpV8C/iAgBVrV0RA6bgVzohOrYpIDln+wVFeXTi+147ZXQakSiWQEquXlA3r5nVam8YaNLKhA6NWw9P/PBJ2Dk//8wj3XZ2L0+Pn4b/tZ/HkPNpcPrISjPynppXXdp4CgjatO1g/r0i2Tald1BxVLU5Wbivj+VljJPVGkGfvGBWoohOi2TZoVei1geSe4FPGhp2VDO0Tz/Zj9by5p0rSgt/xwqcYtCrmT8ihqsXJU+8f4r6r88JUKosn5xGj14TJHwHe2VtJslk+tJIaq0OlEjhc3cofQkbFwfcnDUuXPfd4U3hoZV+ljQff2BvW1quGpvPgG3ujhpG0GhWL1+2JWP78rDGy1yo97tL3Lem1BJzzgZKAc2nwybF6Zr7wacTyDXePY9yApG4nLb/spOb+Uw0crGqPkMQNy4ghv29SWNw9tLr56jmFfFHVGpbs8cC1g8lKMHH3+l0RxwlO2t00ui/DMmJJidXTZPeQYtahFuDfRxvol2CgX2IMjXY3pTVtEU8eQ/vEUt/qDus8fzFlGEkmLWX19rD1l00dhqBSha372LR8MuJ1xOo1uDyEFTh4bVcVj1yfy/B+ydS0BooqaNUqKhrtpFkMCIIfn1/E7Q1MLKZZdOjUaurb3bS7vGEJNUumWMmI11Pb6ua1HeXM/kZOYGI30YhaJYKoRlD5qWhwYNBoaHd5GZhqxO9XSclCNTY7h2vsqAXonxzDx4drGTsgWQpVZScZWTLVitPjI9msJ96k5nB1O79+7xCzr8jGYtRKIReDVsVPrxlMv0QT98h8Ns/cPpJ2l5dlIev/+sYC+iUaSbPoqbW5cXm9aNVqamwu0rsU1bhI+EoJOGnAr4E+oiheLwjCMOAKURRlE2oUFEKJ5sWREWfodtLyq0xqOj3w3EelYY/0z31UGrBa7UCnEVg4MQeNSkVWooEXZhXi9ftJMetZODFHyopMMetJiZWf6DJoVBEeIT/+9iBqWhxSqnlwFJuXaubVnRURYYlbxvTj9V0nee6O0Zyob6dPvJHfbj7I1BGZvLO3Mmz9IzUtjB2QEhYW0Kqh3emmsqkzozHod33n+GwOV9vDakGG6r6fuHk4Pr/Iz0M66MWT84BI2d/Sd0tYPWcsO4/XcevYLrrpKVY27q7g1sIs+iToWbB2NzdY0xCEyCIOpxvbea+khvu/M4iCvvFs6LDA1WlVtDq9/ODl3WHrp1o69e8JJh0LJ+aQlWgizqClze0l0SQ/IapVCTy/9Rh/uG0kJxrsZCea+O3mg+QkxXBdQQZbDlYxeWhGRAHo4oKMi63zjqBHI25BEP4OrAb+VxTFEYIgaIDPRVEs6O0Gdocy4r40iNYBD06L5X/++HHED+69DtP7sro2blge/f3u2HygSkpRD+Uv3x3NNcPS2V/ZzJZDtfhFiNGpwzqpl+aPRqfWSaPEQekx7C5vprzBwe82d3bGP7tuCA6PL2zbYBsXTsxh+ZbwcMKqOYXsPdkSoYoA+KysgbkTBtDi8BJn1LB623EO1bRF3BTWzi2Sqs6E7nvd3CLZFP5oy4Mp9Ism50px+9D3n5wxQjaF/oVZY/CLIotflQ9NPPr2AZ66ZQQfHa7nyrxk5sgce9WcsVIY5PlZY9hd3kRSjI4h6RbZtq6ZO5Y5q3dELP/9rSP58Wt7+Ovd4zhY3RZRiNjj9fHopi+k8w3eaNbOG8s963fJhqIMWhXr5xWFVUg631LWLnz5ETeQLIria4Ig/Bygo4LN+XFTUbjkiVY78tPjDVE1vzkp5q9kih/NTTDdEjnKX1Zs5UffzmPtf8t5+PpcTjd7pPqPwVHYuJxYWp3esJF4YowWrcYg20Z/yHgo6ELY0Oamf5KJh68fQm2bW5rYe/DaPKaPzmRneRN+EdQCTB+dyVu7K9l8IJBeXt3sxKTX0BxFT17TGiUFO8ryYP1Lvyhv5er0yFe7N+rUNLbLT7LWtDiZ940BlDfYWbmtjMFpZtn1Gtpc0mubw8tbeyr52XVDo1rqljfI16v0iSJXDEikoslBVVNbx2RsoHPddqQGf8C3DqfHj+gX+dG38/D6RFo6nAybomjOq20uyuraJCvYi7EUWk877nZBEJLo8CsRBGE859CfW+Hrj1ztyGghlKDp/Zne7454k4YlU60RozC9VojIqHx0UwkLJ+Ywa3w2aXHmMMOiwPsHWDeviIc27o8c0UaZcAz+poMVa7qGFbYermVfpQ2DVkW/RDM7TjSGKVYWT87j+5MGsvN4c1h6+a9vLCA7ySipYILHi3atoi0P1r9UC/Kp/2a9hsWT8yKeDkxaNc0qQT5spNNwqtnBbzqeSrpLoZe20ai4rTCLH7+2hxWzxsiub9LJa9cR4bqCDAanxeB0+6QnkeDN2KLvlAGebLKjVgk8+2GpdJxomnOLUcMNyz/m6VtHMiwj9qIshdatjlsQhB8JgjAWeBB4m4AM8D8E6kguOg/tU/gacybT+67vXzMsmbVzi/iiysauE43dWmiebnZKsrnf3VzAEzNGsOHTcsobOjMjM+IM3Ht1QFeelxrLqzsrepyFFyxaUNsa0HFnJxmlc3hsWj5X5iVzzbDkqIUHFkwcSHaSkadvHUltqwunx0eCSSet88yWo3i9SGGS4PFONLTzm47OO3i8ZcX5mHQCy4rDtcxLi63UtLRF6KpD618OTDHzmxsLwt5fPDmP8sZ22aIPtW1OebuAKYF9ho7gu0uhN2gDviEOrw+XN3Duq7cdZ2mX9RdNyuOFrccitOaPTcsn2axly8EqWhw+Wc1+gtko6e3VKkG6CQWP89L2yOMtLbayZttxqYM+2eRgwZU5ZIQoUYJPfReSM424+wLPAEOAQwQ8uT8CXhVFsb53m6bwdSdaCCX4CBr6frvLw8GqtvBR1bR8pg/vg0ajiohBplkMslKwjLjACDTBpIuIHy+aFD0LL1ReKFe78dc3FmDSqfmiysbT/zxCk93NsuJ8VFGqyujUAgsnDoyofRmsR+n0+Gns0H13Pd6KjuPF6DXEG7Vs3FXOS9tPsOjbeYEalXYPCSYtPtGPTq1CoxJZN7eImlYn6RYDOo2KuycOJDVWz7GaJsxGgxQCSjRpsWZacHn8srK/RJMenUYgMUbLUzNGkBijxeXz8/v3j5AUo+ObA5MkmeWbe6oApBT61Fg9FqMas0HDDSMyeezdEsobHGHn3j+pmTVzi6hvdYEAK/59jH2VNura3CyenEefeCPH6tqka7y02Br1Zlvb6uT5rWX8+NuDwqr7fHgk0HXNmTAAtQrWzSui1uYi1qhhzbbj0vtOj59Pjzfy4sdlYZ9NT5/6epOeTk7qgELgG8AVHf+aRVEc1rvN6x5lcvLyoTv/49pWV1QXwGjLD1XbZCflXrtnPIeq2iRjqOAoMc2io9rmZsmmEuZPyGHltsht5SYk180rkvWKjjYxNn9CDs99WBq2bbTjhe5j+cxRUjgmdJ2VdxVy54ufRaz/WLGVX/39IKvmjA2rAh/c7pX54yita4tQhBi1Ig6PELZ8yVQrR6qaGdInPsQlMXy7U41tLP/weLeTjQ9dOxiDVhO27eLJeaz7pJwmu5s/3TlaUpz05BqHToI+c9soFr/6ecQ67943gdy02KgT4aGfR/BzOM8xbtmD9LTjjiPQWX+z4/94YL8oinPPYQPPGqXj/vrS1Uf5ZJOd+16JVDk8e8coNu05yZ3jB9DU7iExRstL24/zs+ut9E+KiVpI4aPDtcxbG/nd+ePMUWQlGvH4RKpanKRZ9Owpr8fmhtON7cwYm0VDm4vDNW2S6VKQlxeMRatSS2oUl9uDF4G6VneYTeyyafmY9Wp+8HLk+Txz20jUagGDRoVaDU3tXk40tId5dKfH6slJjaGhzc2gtBha7D5qOs6x2e5k/+k2gI7MyCHkpMTQ5vRR26HjVqsETjU5+fV7B/ntTQXsPdXCgOQYKpvttLl8UkZlWU0z43PTpAm/T47WcEVumqzyI6h2mT8hh3f3VUYUY1g2LZ9YvQaRQBirzemmb2LgHFItOlweH+0uf9goO7jvF2YXUtNip29iwHM9MUbL6pCR8RvfK6KszhFxkzHoAn1eitkYGPFb9GzcGdC2G7SBzNfxAxJxegN1MGP0GpZsOkB5g4PC7DgWTR5Mtc1JnFHLycZ20uOM9EswnTNP7x5y9qoSQRBWAFagFfgU+C/wtCiKTee8eQoKHXi9fslHOcGk45bCvnxzYLJsCKN/oonJQzPCJvCWFltpc3mk9bqOTfx+MerEVHlDO6ea7GGTckumWIkz+YnRqcNMq0Ifn28dk0Flk7NL55HPqcZW/lvWyMq7CqnrcCn8/T8Pc/WQNNnjH6ltY+W2MpZ1xHBTYvUMyzATZ9RGJAW1tDtxuH0RHVa7w8UHR+p5dMowTHoVJadbw28cxfkkx2p5YsZwnvlXZz3LRZPy2H6sjkenDMOoU5GTFs9/jtXjF6G0to2cVEvUAhTBAsCCgGwxhr0nW9CqBUmLPfuKbJau2yk7sl4yxQqflbOv0obT40cliPhEQZIWBj9jgE+ON2Jz+Nl+rJ5Vc8bS0BaoM7lxVzleH5JjYuj1mTAohdJaO/EGDUdq27r4dRfQP8nAsTo7C9fvlPVQvxhUJWe6bWQRKDVWDVQCp4DmXm6TwmVOSVWL1GnPGp/Niq1l/OWj0oiJpGXT8rF7fFICBQQ6keDfm0uquWH5x8x84VNuWP4xm0uqA7UC91bi8PgizJIWTcoLm8QK7m/puyX0iY/0gl7+wVFuGt0Xg1bFzWOyZSbIDjAhL60j5X0n6XFG5q/dyc7yFkxatezx39x9KrDt2wdoc/m5e91O6to8Uqcd3PeT/zjMhLw02Um56wsyWThxID9+bU9g4q6Lf/ejmzr3HVrPcvkHR5k3IbDdwapWTjUFigw/+0Epz28t43SzU0rPD8WgVZFq0YedS9f3+yd3Xj85X/JntgSuZejkbXBbrVot+xnPm5DDkilWRETeK6nhjhc+pbzBzl2rP+O1XVXMGJsle32SzUaWbynlVItTxq97P35RkI4n19b7X9vTqwZpPaHbEbcoitcJgiAQGHV/g4C9a74gCI3AJ6IoLjkPbVS4zAhOzt00uq80IRd8LF4xaww2p5f0Dv/jfxyskZ+YsrmkSirBZfe/toeX5o/jjx8cZWlxPh6fyJMzRqBVCew/bWP99nJuHtNX1vM5mn56UJqZ+RNyutFRu1g2bRjJMXrqWp38+bujcXv8uLx+9Fo1P71mECnmwERqcPQe3Nbh9pJg0tHmjOL1HUX3XNPqlNLCo/mEO9xeqZN85vZR7DvVgiCAXxRJMOnom2DigS7X75ktR1k3fyxLpljD4tBLplhxeb0sLbbyp49KWTQpLyKT9HSzXSov5vcHrvsLWztDIsHRemj7JGVMlMnHZoeHv2wtZf43B3S2yeuX1q2Pcn2COvJoGvauHurRJj4vpBzwjDpuMRAEPyAIQjMB7XYLMAUoIlAAWEHhnBJMnun6o/nwSD0fHqnnrws7C7JGM5NKidVH+bG7uaMom++91BlaeXx6Pu/uq6SqxRnVMztaaCXZrOOhjWWsnjNW9v00i54YvQqNSoXH54+Idy+ZYsVi0oRNPmbEGbilsC8xOg2PThlGeUP7GZUuYctjO5OCovmEG3UaMuIM3DkuC6fbh0YFr+08RZPdzaNThgGi7PVrbPOwcXdFmOPeuv+W8fANw9hy8ASPTcvHJ/pZO7eIU00O9FoVDrcXETGyvFhISMSg7fQcN2gDRlALJ+aAKEaYcIVe+ynDM9Fr1LS5vCy/fRQG7ZlLsaXGGlg3bywnG+09uq7R9nEhOZOOe5EgCH8VBOEksJVAh30YuAm4MA7iCl97rBkWHp+eLyWHhNL1R1OQbonQLy8rzifepJbdNt6g5ff/Cnf5e+StAywt7t4z2+P1y/pQ/+7vh1g8OY+/7ZbXLCfFqKlrdbNw/S7a3f6IsMXSd0twe/ySb3RGnIHZVwTCQ/dt+Jwfv7YHo1bNj789KOLYsUa17DHValFaJudxvWSKlb/tOsms8dk8+2Epi1/dw/Nby5g1PpsEk45l734BCLLX71STnckdbn0PbdzPg2/sZfLQdEQRvj00gxP17RzqkG3+5PW9/PT1vdS3uclKjIksL9YREgmeT9BzfMkUK//vH4dZvqWUJe98gVmvltVbi/hZua2Mh97cz5PvH6bJ7uat3afOWIrt1c/KWbh+F7EGDb/qomFfVpxPfnosj08PfB827joV8bmH5hpcKLpVlQiC8DSBCcn/iKJYdd5a1UMUVcnXF6/Xz6EaG4eqW8Mmj+QmhhwOD/urbdTYAmqOgnQLB2ps7DjeFKHTHpgawz3rIz1MVswaQ2KMjqqWgNqia6jkZ9cNQVD5STEbaXF4+KLKxus7T3WoXgz87w1DEfGREmuSfKjf2l3BzWOyeXDjXqYMD1SiL62LVKP8ceYoWuwuEmP0GHUavv9ypEwwaBkrCDAkLRY/IhqVwI6yeq4tyKSu1UlKrIF/7K8kwWxEoxKkcw8qJOpaXaTHBSZHx+WkyEoMg/K3n10/GL+fsOu3ZKqV5VuOAnBLYV8y44xUNDl4c3dAvZKVZMDmCMTOu+73+VljuGvVjojr/seZI0k269FrVFQ2O0ky63hjR4WkAQdYM6cQm9NNvEkvadSdXh+/+r+DERmkz88aQ6xBQ3O7Rzpfk15DdYuLZLOO10P2bdCqeHn+OHyiSEObi2RzpztgUNVU3eIkM8GIQaOmvt0VkWtwHjh7VYkoivf3TlsUFLpHo1GRnxnPsIw4RmclyCboBDEatRSFmAIBJMXoZZ34fnNTgeyjb5xRS2H/RPZWNMmGStxeH35g7podLJ1qDdNrV7U4OVTTyrMfhCspACYP6yNbRCI0mSPJrJMMne6blCsbomh3+zr13XOLqLY5SDEb2LCzktWfnAw7l6BCY+HEHAammDnZaOehjfsYkmbmtqJ+zPlGDl6/fChE6HjKaXX6eHP3KeZPyCEr0UhFo4MWh1u64SzfUsp9k3KlNqXE6jlc1Y5Rp4kSU5f3Pkkw6ahotIc59C2ZYqW0rl0KoajVKk63uEiPM3GysQVBiEFADOu0g8cprWnD7fNHfH45KeYIa2Gnx8+pZgcPbdzHsmn5TB4cL9WM1GhUjOiXEFabMpfYiM/3QqH4cStclLjdPvadbqHa5iTDYqCgT1xYhmRqrAG1KtBpplsMtDo9nO7QfFszLKhUAlsO1bC/skUybsrPjCMjzsDHR+vDfti/mDKMoemxGHQqmto9zF8rP2LUqgVi9BoqGhykx+kpq2vjZFOgI7Po1ZTW2pg+urM48d92VzCjMDssOeSmkRncMjaL+o4Rnk/04feDzeEhJdZIXauLWIOaOKOOk032gDbb4aS53cfpFge5qWbijVoeefsA938njxqbWyrw8ONJA7giN03Skes14PML/OXfR7lz/ABUgiCNhu+blCtlOIae58KJORg0atZvLwc6R9anWxwYtGp+t/kwwzMtLOxQfaRZ9OjUAiebnaTE6tEIcOfKSJ33n+4YTV1bp+1sdpKRJVOsOL0+fH4fyebAuada9Jh0KsobnMQZNTTbXWTEm/jH/kqusWbS5HCTYNTh8fmZH2VkL5fYFM1VMfgkYNAGkrkuVA3JbvjyCTgXK0rH/fXE7fbx1r7TYZN4T8wYjlpQ8ZPX94SNpP6+v4rrCzLCOuLHp+dz3bAUdlQ0oxZUNHYk5vhEPyatmkNVbdg9PlLMeiqa7Ly+8xQ6jcDPrhuK3e3jeEN7RDgj2NEtLbby6bF68tItYcf883dHUWfzdMm4zKd/sp5bnw+ECG4amcH4gZH+1Kca2+iTYOaXIYZYv5xq5ZUOz+xlxVYOnm5mw87KQPw+RosAaNTQavcQH6Mn1qDiaI0jIuMzO0nHySYPj7x1gAVX5khPBXJp+0umWsmMN/CLtw/g9ooRTx73f2cQn5TWc21+htTW7CQjj06xcrSmDYfHyzcGJlDeEKlnH5MdS0WjE7VKhd3to93t43//tp8brGmy12T7sXreK6lhabGV3FQjx2odPPdRqfT08qNv50WEchZNyqNfopEfbtgT8Z369fR81GohbGS/tNjK5v1VkmLpuTtGMTTDcqHsW6OhdNwKlwZy6e3RfKNDfZZDl7/xvSsoOW2L+KFa+1i495Xd/Oam4VIyjVwn1jWcEZr6LJcmvn5eEXevjxwBhqZjv3L3ONn08mie2c/ePooF63dh0KpYM7eI21dsl0bFgSeLWEqqWln6Tkl0n+6Q43cdZQfVK/0STOi1agwaFb967wumDM9kSHpsmBxQrq1y1+1XNxaw4dMTjMtJCcucfHLGCKlqfGgKf7RrEpquHjxm6Hb3Tcrlnb2RGZo/vWaIbLufnzWGNduOR3ieBzttg1bFqrvGMm9tZ7LOxZBoQ5SO+7zlbSpc3vj9ImV1bXxyrJ6yujb8/ugDhuoQH+6gg19mnFHWpS2aTrnNJZ+Y0+7yce+3BoIIS6da+ePMUcyf0F+2JmYwuSaYGBN8r0Eme7ApSiHgGptLcraLpiuOpsd2+jrbU9faqe/2i7D0nRLa3T5JqVEbTUceoknuWkG+ye4OhEU+OcHh6laa2t1MHZHJm7tPcbim9YxtDdXZB9//37/tZ1xOCs99WMqzH5Ty5u5TTBmeSY3NxYDkGB66djBZCZ2f5Zm01qHHDJWHbtx1itsKs1i5LZAgtHJbGbcVZsk6CS6alEez3c2HR+qZvWoHTXYXlU1OPjneKK2zbFo+T//zUNi5XAyJNtG4uOvzKHwtONsSZBmWTge/+RMG8NT7naneXUfC0XTKda0u2UQah8eLHyFsZPXbm4bLdh5DM2JZODEnLDEmMJkYqQ+OrhnWS1XUo3tmR/GtjtFJr1M6JJAGrYobR6UxMTeZmlYX6+YVkRKr5kClnQ13j4tQTaSFtCtYQX7hxByGpls4WG1j84EqrsvPiHjaUKmi6Zc79ycIcMWAROZM6PSJWb3tOOqO4aDciHzx5DxWfHyUzHg9v7t5ODanh2fvGBXhT5Jk1kuj6rQuWZldz2VgsjksgamuzR02qfrqzgp+cs0Qafsamxu709VReCEwH6AWAkWdu34Huku0uZCVcZQRt0Kvc6KhXdaMPtpopqBPHMum5XP3lZ2ddnC70JHw4skBr+auOttl0/LpGx/QQwdHZC9+XMbsK7Ix6TRSfDa4z+P1bbKa5aY2N5nxRprsbmnZ0g4/6a7HRPDLao31Gvjet3JZua2MVz8rl9UVx5vUko47uDxQ9EElrfOP/ZUYtCpevbuQXSdszF79GT/c8DmzV33GjuM2XG4Xc9fsYPzAZG4amSFtF2tUhbW1ye7GqFWTYNLQN97IVUNSZZ82vD5RVrceo+9sa1aigesKAj4xP3p1DwvX7+K6ggwm5iVh0KpkR+SBUEl/bh6dxcL1O7nvlc/56et7mTkum+GZFuncf/veQV78uIx7r8olNTagV39nb2XEE4NRq+ZUc6DiTvDmWtXiZOW2MioaHazcVsb3vpUr+Y8vnpxHVVM7Q/rEc1fINWxxemW/A9ESbYKDka6WCt09SZ5LlBi3Qq8Trcr7XxeOY3xOsuw2brePD4/Wymqun7tjFHEmLV9UthBn1NHicOP2iTi9finW+cTNw7lLxjr0qVtGRLgMZsQZuP87gyIqp+s0AklmHaIo0GL3kGrRY9SqONHgoE+cgTa3B5vDx9HaVj46VMu9V+VgMeklxYhf9OP2iSQadbQ4PbQ4PPRLMOD2Biqxp8XqqWm14xcFVn58nAUTB0rZiC9uPcYPrs4lMUZHnFHN/+2vweeHb+UlR60teWtHDHzt3CIAtpfWcMWgVCobnRxvaJdKrg1IimH1f44zpSCV7GQL98jU5vzdzQWoBZHMhBhqW13Em7Ss2Xac2d/MxuEKhGuSY/WyNSXXzB2Ly+vH5vDIThT+ceYo2Tj06jljaWhzs2Jr+Oh7xawxpFp02Bw+muxuEkw6bA6PVGXIJ4LN6eV/Qwoe/+rGAuKMGpJj9KhVAuWNdjLiDCQYtdS3uSOuYXaSkcWTB4VVte/uqfCr1EM9S75SzcmzP5ogrCKQaVkrimJ+x7JE4FWgP3ACuDXoNNhRz3I+4AMWiaL4j95qm4I8vfXo92VKkOl0apJidGQnGaUJKEB6dB7ZN4FYvYaTTQ7aXF7ykk00t7sx6TV8fERLY7tHNlSSFKPjmmHJETawcUYt8yfkMDjdDKJfkuapBRWv76zg6qFpPPBGIJFmcJoZl8+HSafB5vCyfEspGXEGYowa1B0H02tUiKKKxnYnMTo/mfE6Whxe0i1qKhp9gAgCFGbHcrTWLVv0wagNZH+22H0MTDGTbjF0608SfF3b6qRvgpFv5KVR3eIkO8lITnIMFU2OgExQ7Wfi4FRGZMcjEB5qCpX6pXSxQf3lVCuJJj3vHDnJt62Z1LW6JP8Rh8uLSa/hha3HqGt18cMNe/jjzFGyn3usQRP22Zj1arw+kfoOu9y6NnfYuTXbPZj1apraPTTbPXh8IloVxJu17DjRQrvbh1mn5sW7Cmmxe0i3GKhobEf0B0blv3yns2BDICNSHXENyxscxBo0vBelqEdXvko91HNBb8a41wDPEihzFuRnwBZRFH8rCMLPOv5+SBCEYcDtBMys+gD/EgRhkCiKSkHi88TZxqHPhqwEE49Pz+9in5lPVoKp2+20ahXf+1ZuRN1IrVoVUSQhzBZ0qpWsRINsIo3T4+HbXWxglxXnYzGqWLmtjNfuGcehqrYIK9CclBh+cFVumEpl8eQ8/GIgvfzXNw7jdJOLRzftlrUCXVZsZfxAC1uP2iKkbxPzLBH1MRdPzuPtz08xbmBy2DGj1bhMC4mBJ5v1HJKper4hRF74nSEJHK5x8txHJZIp1KBUMzPHZUvmXMH2eX3w5p4qfvlOCevnFTEoPZ45qz/j5flFkf4jU61kJQY+V53ax7Jia9j5Lp6ch0in1DB4rZ79sDTqPEZDmytsIjZ4HEGlivh8Y3RqKhrDbXlD9/fIWweiXsMEky6iLmo0vko91HNBr8W4RVHcCjR2WTwNWNvxei0wPWT5X0VRdImieBwoJWBipXCeONs49NlQ0WTnjx8cDatf+McPjlLRZO92u2aHJ9Lf4p0Smh2esLYOSjXTL8HEQ9cN4ckZI9i4qwK72y/rOWLQamXtVz1egfkTcnC4RVkr0PYuKpWZhZmMzkogN9UcKCOm00nbyVmBPrqphOpm+dqIFY0+PF4fv791JM9/dwwLJwbqO04b3TdCGaNW+WTj5BUNNum1Sa+SvW4LJg6Ujunyqnl0U2AkuvlAFU/MGMHPbxgasd2jm0qYMTZL+ru21SWdg69D3dL1OG6vv6MjNPHcR6XMn5DD724qkM7rWG1btxavXRU96XFG+eN4/BGfb3ZydPvd4N+i6GPZtC7+NtPyGd4nrsff6TPVS+1tzreqJC3oeSKKYpUgCKkdyzOB7SHrnepYFoEgCAuBhQBZWVm92NTLi9589KuxOWXN9WtbnVKVGrnwjNPjk22Ty935gw1WUf9pF9e5aFagdSGhhow4g/S47hdF3tx9isFpZvlQRMj+5l7Rj8nD0vCLIi6Pn4x4A6LQ2aZoVqDRrV+d/LrDrCozwSil0ze1R1rJfni4if4JOqmGZFqsgVSLmv2V7aybW8SR6iZO1DvCthueaQn4W4siz88aw8nGdmpanSy4Moeth2u5Lj+DB9/YyxM3y6trGtpcksIjIUYnrdP1OxO8ntU2F8/PGkOTwy197vdNypWSf5od3jNeqyHpAbvc9dvL+dHkPNl12t3eiGVy18zp8ZOVaJTOwaDVMn14EjnJMdL3bnifOCndvSecqV5qb3OxyAHlzlZ21lQUxRXACghMTvZmoy4nevPRL9q+0y2GbsMzmfFG+bBAnE5avmDiwLAEHKcn4Dq3dq7843BQthetWHBGtGLBITK4W8ZmcaCya8gjn1vHZPDark4pXsQ+oskBO2xYn9lyNKzdclayagEe2RTQGwdvWrNXh4deshM7r1twnQff2CsbwvnFlGGs2HoMpye6DWqSWc+Lb+xjabEVi6EzJp4a23k+0QooZycZJU+R0H1Hex3822LUSsk20SSfMbrw7sugVWHSqWTXrWt18eLHgcpCQ9Ms6HTqr5zerlIJPQ6tnGvOtxywRhCEDICO/2s7lp8CQuxc6AucPs9tu6zpzUe/aPv2+ek2PBOj0/DI/wwN2+6R/xlKnFHHs3eMYtHkXPx+UTYxp9nhjrAzXTw5j9d3VLC02MothZFSteUfHMXu8sqGIkw6lSRFa3XKhTwOcPOYbAxaeSvQZcVW0uPUMha0VvZUdFYVr2m1S8dfve14hMRwYIqZn103BINWxYKJA6WCBp3tKMHtE6VzD11HLizx2LtfsLQ4n3XzxrL/ZIPsub+xowKnJ5DA5PH5pXU276+UXstJ/x7+236pHaHXJNrr0M9pzbbjkuzwha3HpNc3jcxgw93jeHLGcFIsem4dkyFt98C1g6luccruT60SAtfn7QOcagk3p7oUOd8j7k3AXcBvO/5/O2T5Kx02sn2APOCz89y2y5refPSLtu9Pjzd0G56ptjl5bcdJybTfpAuoFganx9Li8Eop8HITWi6vyIbPynlixggERLQqFbFGDX0TTKgEP8MyLLLHtjl9YfULk8x63thRgcWoldwGa6MoO2pbndJ2aXEGlhYPw6TTkharx+3z8NHhJr41KKEjzBGQA+6pqOfXm0slNYfXL5Js1rDh7nGcanIyIMXEmrljqW11kWLWo1L5+c3fAwk9QpRiBzU2Jx8eruL5WWOwOTwsuDKHjbtORQ1L7CxvknxYmtsdrJ4zlvo2N8lmHSqViCgmc/XQdF7Yeowam4v+KUYpVJObFtORyCIfBhIEkXXziqixOcmMM/LnO0ZR2+amxe7mj7ePwu3zkxGn71jHRbpFj06jom+CkYw4A6/MH0dli4OsBBOv3zOOg1XtUWtIplkCN+8//9/BMFfIdZ8EKht1/X5dyvSmHHADcBWQLAjCKQLVcn4LvCYIwnygArgFQBTFEkEQXgO+ALzAvYqi5PzTm49+cvsOfdQOYtCqSDEHfoAZcQauL8gIUy0snpyHWhAkzS50jpaDXhZLplh5sUML/OAbe3lixgi+9/JuDFoVrywYx6fHG+mXaIoSztDzXklNmB+0Qati5vhsSeESTZWQbNaH6dUNWhXr5xUxq8MrZPnMUVz7h09wevw8dN3gjqLEZYFwRoSaI5+CvrF8dDjcyfDXNxag0wg892Epf104TrYdGXEGrh4crpzpLhtSFDstAVbMGsOJBjsDkgwcb7BHKDn6JhgjPGAWTQooReT2/fnJFvrGGzl4upkffnISgzbc9+XlBeM4WtvGkk0lsqGcULXQ2rlFkolW8HN/dFMJq+aMZdGGfRi0Kp6cMYImuztsPiV4jsHXF7p6zblAScBROCvsDjcHqlulogX56bGYjLozbhc0pq8KsV491Wzn7weqI2KuWYlGMuNNCMD1MkkOy28fyeb9gWKwQQvV13dUcPXQdBJjtPz+n4HK5dcMS2behIHU2FwkmALp2POuzOHudTujussVDUhgx4mmiM4jOUaHXisQb9ITZ9JwuKotQtY3NMPMPw/WSTayA1PNxBo0JJp0NNnd2BxeDFo1Wo1Ai93Lqm1lLJg4kKQYrayV7Jq5RbIJLn+6YzQ/eGU3Ly8o4khNe0TnOjAlhic2H2T2N3IkffXa/5Zx1eC0sGLIXZ9UIFDY4FSTgwHJMRyssvHazlNh6f5r5xZJhSFCtfW3dyhPuu7b6Xbzzbw0KbXcrFfxr4P1uH1+Nu46xS+nWnnh41JmfyMHv19EoxYi0t+DHf3y20ey6K97Ir5bf5w5Ukr0+dn1gxFFonb+wTkU4IKlq58l5zcBR+Hrh93h5t0DNRHWpVPy07rtvL1eP2/trYzQcWcnmVj3STnzJ+Sg16jITTXzu80HpWSJX99YQIJJF2avGpgI0zN+YLLkKhfsOLOSDDz2zhfM/kYOP/qOhtNNLuas7lxnabEVrz+gVGlz+Xhnb2VEoYWclBipTaGP2o/8zxBsTh8PbtzFH24fGRFO+eeB0wiCEBa+WVps5aODNYzNSY7oXNUqUXqaWDYtP2rIQ255dYuTNXOLON3sZMOn5WH1H1/ceowfXDWQm0dnRdR3TI/T4fHBn+4YjccnUlLVEuHDkmzW88Ab+2Q79mCb5ApD5KTEUFbXzvOzxrDjRFNgFO920zfRLLkWBj8nr9fDi9vKAzfEWK1sW4O1KAPhlsC5dzd5Gnw9JiuBlFg91wxLp67NSYo54Ns+KiteCtEBvZazcL5QvEoUesyB6laZR9UDHKhu7Xa7kqoWqdMObvfIWwcQEKTHWpc3MDEZVCAEJ7duKewbti+DVoXDI6+1trv8/OSaITS3u/D74bmPOrXjC67M4U8flRKj05KdZMSgUfGTawYzND0WnVqFRgU/nJRLcoyOK3MT+GZuEoNSzUzITeLK3AQsRh0+n4+nbxlBjE7DeyU13PHCp/xwwx7ueOFTYk16KWU+2KYlHRpoOQ1yusUojQrTQ0yUQs8z3qSVXd430ciek02kWQxSxuVDG/ezaMPnHKltw2LSRUxaLn23hBidloXrd/GDV3aTEa+P8GFZVmxl9X+ORYSgghpog1ZFqsUgxfqD1/XVnRXEGXU4PT4MGjUvflzGcx+W8o28NNnP6Zt5aZKKxudHtq0LOrI3Q8McgbqekZO7b+yokEbWKbF6+iebGZhqZnxOMgNTzfRPDrzOSTGjUgm9mrNwvlBG3Ao9Jpo2usbmOsN28iPHpvbAo+v9r+2JOnE2LMMSUI90hB8K+sZFbUewBNbiyXmcqLfLjgzdPi/f/1Yuf/53acT7v7qxgFijisL+KRGj+YOVjcSajNz/ekBWt3hyXtjjeE6yvP67oU3e7rXF4ZXSvn2in2XT8sMKRyyblo/H5+eFWYU8syUQ+gmewy/ePsBthVm8+HFp2HbXDEtm7jcHUh/lmLWtLslBsKrZTmqsjhdmFdLscBNn1FJtc+Dxwtp5Y8Pc/oLlzJZMseLwePjJt/OIj9FLBSoGpQTqbD6/tYyR/SxStmRdlAnL2pD0/K7fjblX9JNqaL66cDx2t5uH//YFBm3gcxnRLyZMw97idNEnMYb5EwLJPaOy4umf3P0cTbTv47G6NrISTGg0F/94Vum4FXpMNPvRNIu+2+2SYuS3S4jRMTorQVKbdC2llZ1kpLHdHRZ+ePrWkWRG0VoH6x0+s+VoRLGD4Ohx3bwifvnObuZPyJH1kl4XZQIstFBBVYtTqukYLJg7IFlec54e5ZplxnWm5D/3YaCg74pZhWEFfYOd9dJiKz/+toH/ljVJYYvlHxzl4euHYNareWrGCOJjNJxucjJ3zQ6enDFC9ph+AjUzlxVbyUqM4cY/f9IRegokznxnaApigRA2qbm02MqgtBiGpMWyYusxfjltGLU2Nw92WScvLaBF//7Le3h5wVjWzi2SOvyI70uX9PzgOnOv6MfQPvFSXD8YivvjzOFUt3gQ8XO4xsGDIaGcJVOsbD1cK9Wn7MnEYzQ9/f7KFlocHqaPyLzoO++Lu3UKFxX56bEyj6r55Kd3X0TVjyhrbi+G5Fg5PF4enTIsbJ2HrhvKsne/iHik9fr9EXrjoJIkuF40g/5aW6Qpf+j70UycusrdqlqcLN9SysnmgHWozwf3f2dQWJvu/84gjFp5y1aXzxemqd5Z3sLC9TtJjtUxf+1OyRs6GHIRCShJgvFop8dPdnIMR6uaSYnV09TupWiAhXVzizAbVBEp3cHrE7wR2Zw+rhiQyNp5Y3nouiGMG5CAo+NYXcM9bm/AcGpIegwujyi7jscLr90znoUTsvnwcAN3rf4MtSryc1pWbEWl6uzwX99RIV2fawsyZfXxPr+K+zZ8zgNv7Ke0tk02rBK8qfck70Aur2DRpDxe33mKR946QElVyxn2cOFRRtwKEmdyBzQZdUzJT6N/sumsVCXRKq5fa00PmyTKTjJ2JOb4OVTdFvYjDeL0+Gmye9l5IjA52NjuBpEIK9Bks052VJUqY8of+n7Up4oo0sWx/RMo6j+GunY38QYNT80YQbvbS4xOg93lobLFiVoQpeUWg5YYfaAOpnz4SH55jc3J8pmjwlQiFoOKjITA5N/jxUP47LhX6vgKs+NYeVchLQ4PXj+SPDK4P5vTI3lpB0evT86QT3mvbXVSWtvGhEFp3YRhnDzwxj6WFVsZ0c+CSgC7S+RIdTNr5hZR1+okJdbAv0oq6ZtoYuHEHIw6NTeOyUSvVfPs7aPC7Ai67jv4WqNSRbyvFuC9RVf2WBkSzCuInV3Ip8cbEUXCJmmrW5xh1d0vRpSOWwHouTugyaijaEDSWe27f1IMD103NGLfalV45mR5g4P7X9vDunlFPPDGPhZcmSPbWaaYdYzpH1CVBLW/R2rbpPcXT85DqxEiHPeWTLVi0qlZPDmPv+6okFzxgu8vnpzH3/dVRjjaLSu2su1ojez+1mw7TlFOEuMGJFJW18aj73wRtr/c1FgW//VzKSQRTAuPdm5yae4GrYr0OIMkGQyOVlWopXZmJVnCPKZ3lrcwf+3OsJqTofuLM2r54YbPw0avcUb5Y1uMWp7fWsbiyXmMyU6QXSfepJNG8+vmFrF8SylXD0rmuoKMsNDH0mIrL/z7GB8eqcegDdSCvPUvHbUlo+jjU0NCKznJ4SNqgzaQrHO2uQcqlYDFoJWtdJ8ed/HrvBUdtwIQMIZ/ZXtZh89yILvxnyWV3DE+J+xH4Xb72He6hWqbkwyLgYIemvMER/NdMyflCiysnjuaOpuH5z4q5Y6ibH7/ryPSD/+h64YwJjsep9cLfhW1bS6yE404Okal6RYDeo2K8kYHHx6sDmi92wJZihUNdgw6DSmxGjxegXa3l0STjka7G7NeQ0VjO6dbXAxOiyEt1khNq4sBSSYcHh/VHVl9Rp2a4/V2+sYb8IlQ1eKgb4IRu9snq8V+ftYY/KKI2+PH4fGTEa/HoFZT3erE7vLx845EouwkI78szsfp8aLXqFka4iG9rDif13aWh5XWMmgDBXU1KoFYg4rSWjtNdjfJMXpanZ3e2HdPHMjJRnvEJO3AVDP3rN8Vdt2vHpTM9QV9wuSeoZXQDVoVf717HIdr2iKKMA9MMVHX6qauNSCPTInV02QPVBBqdXqpb3NjMWpY01GgNxhXH5JuRhAEVMCpxlbiY4wRN82Dp5upbHFIE6/BQr+fHG/k8en5TB8R8KPrmieg0ai6fYqMJlO9yGLcSpV3hegcqm5m38lIr+gR/SwMTo8HAp32W/tOR6gfpg/vc1bOakGiVRF5ftYYclN11LT4Uav8uDxCQEVgMaBTiwiCwOHqdh7dVCJ5SHcdCRf0iWX/6UAF9NCMvGjrqwWRRzeFj5aPVtsi/LCXFls5dLqZ4VmJHK8PVJWx6NUM6xPH9o7isxt3dSatLJs2DK1aHXG89w9UcfWQVOrb3Zh0amINWh5794uwDsRi1OL0+NGp4Hsvfx5x/X53cwFLNpWwrNiKUSvS5hbCjrO02EpmvJ4Dla2IQLvbF1Z1XW4k/urd42h2erE5vGEdbZA/3zmaf5ZUSTfEFHMg+alPYgwvflwW5vu9aFIer+6s4N6rchmVZWHqs52ToXLV4bVqgcx4PV6fQG2ri9RYPc12Jy1OL4hChKnXiH6xDEy2AMh2wMUFffjX4dpunyKDiWHVLU7S4wxYM+Iupk4blCrvCt1hc8h7Rbc4Op0H9p1ukTptaZ23D7Dv9JebzOmfFMPzs0bz7MxR/O6mAp69YxTPzxrN6H4W/nO0FbVK5HC1vaO+4h5mr/qMIzV2jNrOEMGCiQNlddL2jv+dnnBzpWjrm3TasGXPbDnKjLFZshNx1xVkUt3iZMXWMjbuOoVPhAXrdkq1LWeNzyYjLhATz06KkT3enAkD+PXfD7F8SymtTp/UaQfXeeStA7g9PhZt+ByviKyeO6iieXRTCWkWc8RxlmwqodHu4w9bjgKBG8rKbWX84KpcEkxq2RqZPkTuWb+LjDg996zfFdZpB1UyeekW5q3ZwaINe5i7Zgd56RZidGrp3IK+38s/OMqU4YEJxya7TzpetOrwh6vbuPPFHZTVt2N3utld0cTiV/eRZjHKTlq2Ov1oNKqoeQL7TrecUa+t0agY0S+Ba/MzGNEv4WLrtKNyabRSodfpiUa7Oor+tcbm5Mvg94vUtbr56Rt7eejN/Tz5j0P4/bD9eDOVzXZcXmRvJs32Tp9uh8sbtU3B5aEKkmjry3k7R1WmtLr4647AZOvDNwyVNe7/5ZShrJtbhM0hP9nYbPfIti90HbUqYFHq9nojlSldVDRdvb4z4gzMn5AjuSf+dUcFv7mpgOdnjWHz/ioOVdvZvD9gRPXM7SOl5ScbnSwtttJk9/DLLsf85VQrdo9PtkCFzy8yPNPCEzNGgCjyx5mjGJRqls6txuZicJqZF2YXMiRdXvMeXHfpOyXEGnWS5NLmiP4ZA1JWZ9f3o31fg5OdlzLK5KQC0DONdkY0P2nLmSdz5GKNoSOljDgDtxVm8f2Xd0uPtbmpUYoatLqkdkTzau6q1Q1dX66OpZy3c2qUa5Iaq5eSd35wVa5sG33AAxv38tNrhvRIvSK3jkmvZuXsQixGDc0ON+vmFlHX5kKUUdGkncEbe9GkPA5V2/jt3w9j0Kr4/tW5fHK8MWJE/f2rc7G7A3H25/9dGpZOv+6/ZcyfMFD2fDVqleT7HRoS8nh9He3T88y/jjJnwoAw7XbosYNRW6fHT6vLK0kuX71nfLffu4y4aBr6C1terDdRRtwKABSkW2Q12gXpls51+sR9qZJPQcXKDcs/ZuYLn3LD8o/ZXFIdNlKSe3wO/sBDCXZ6kuey6JHVCifFqKTloZ7Pb+46yQ+uymXltjIptPGDq3Lxi76wfSyenIdRp5INJxg0gtTW3NQY2TYeqm7ltsIs3tx1MsIXfMkUK6u2HeOxjmvZ7nDJnsNHB6uZv24nB063UtXkZPbqz2hqs2N3e8NUNMuKrdTY2jo9q2Wu5fIPjtIn3iSdQ5vDJXtuNqeH7720m6M1rdw8JuAh8tDG/Tz4xl5uHpNFaqz8ZzI0IzYydf2dElJiDSwrtpIYo+aa/ID8sKrFHvEEsWhSHm/uPiX9bey4kRq0KiwG+bBOqiUgQ7VmWDqKAHe+//j0wPfyQpYX602UyUkFCYfDw/5qm6TRLki3YDRqw9YJqkqCI+dUi47Kpu4d1srq2pi75rOIUe7Tt4zkzpWf4vT4w0pbBblpZAZXDUmjtK6t03EvJYbsJCPfe2kPN43uy7fyknkgxK0uOPm2bFo+mXE6Gu0+amwuMuMMnG5xICLwQEjFHAj8oF+YXcjRmlb6xBvB7yPBbOzwbY6h1emVJsuMOhUnG53c90pgsvCZ20ZQ2eyMGN2u3x5wo5s/IYePj9SyYOJABEREBElT/cLsMcQa1KhQyZ7Db24azh0vBKRyT80YwX0dVeAfLx7MoPQEKe07JVbNgdPtZCWYcPkCIYSgW14oz90ximSzHrvLzcNvfcGQNDNzJgzA5vAEjJpEP/PW7pI+j62HA+0ONbC6d1Iux2rbw873sWn5WIwa7lm/W/aYGfE6VKj400dHuXP8AGwOLzF6FV4vtLu9xBm1LH23U0WztNiKy+ujoc1NmkVPepyB9f8tZ86EATTbPcSbtKzZdpx7rhrI+JxkIPoko5ya6VIxkupAcQdU6B6jUXtGjbZKJaBVCx0dmIPvdnS83c3Yn2py8Lubh/PFaRuNdg9qARZMyEGrEfjzd0ehFgKPyV0fa3edbOaG4X0YlBpLu8tLjEGDVi3g9wuSEVRtm0u2nmVlowOn24vHB3aXlya7m74JRk42OWQf9UtO2+gTbyQhRkN5vZcfvf4ZCSYdT86wolNrEQCVIOD1+dGqBNbNG8vqbcdRqVS8urOCJ2eM4Hh9O/2TYzjdbOfmMX2l4gVBX/B1c4u4dUWgtKpBqyJGp8btFWlxyJ9DQ5tLal9oDP6RTYcBuG9SrtRBP3P7SMqbHKz7bxmLvz1YNkTwRVUrK7ftZclUKylmHQkmLTq1ChBQCwKokIouAJKBVeg+Ekw6Xt0ZXqjg2Q+PRk2zF0U4WmMnPU7PNdbMsISfJVOsbPisHIAHrhkCAiSYtGHp/vd/ZxCpsQbZsM4vplqlv4OTjF0TZy5kebHeRAmVKPSYoO71thXb2VXews//ti/qjH3ouo//30E+r2jmiX8c5tkPSnl+axltLi96jUCdzcPC9bv42Zv7I0pO/eG2EdS1dU5e/vT1vTS2e9BpVRR2JOBEe3S39rHQaPdK29674XMOVrdRa3PJrp+XaubBN/bi9wuSjvnXNw7jdLM7TNVyrNaOTgML1+/iuoIMzAaBH1yVS6xehVYt8OAbe/nt3w/z4sdlzL4imxidWgpn7DtZLx0vGJZYuH6XlOXZtU2hdqVyMfjQ4gBHagKdbLDD63otg6GIYAjjR98exPiBycxds4Mfbvicu1Z/Rnm9k9qWdmaNz2br4doIm4LFk/NIs6i5NyTUtHJbGfdelYtJh+wE6oqtx1jSoU565K3w4hfBdPUjtW2cbLKTYo5M93/6n0cwaNRf25DHl0UZcSvIcqbJxGhKiGBZqNB15WodPrPlKGOyEqROMtS4Kb9PHLmpZmpsTlkp3eo5Y3nuo1LmT8ihsd3NL6YMC9NAL5qUh93j4y//LpVGhgB/+XcpD98wLCJj8rFp+Zh0Kq4YkBiW0h2j0/H9TZ1yskGpZkw6De1ukSdnjGDtf8t48NqhbDlYwYIrc3F4fNKItarFyTNbjvLC7ELWzS0izqSm2mZg1V1jMOo0NLS78foD+3x9R0VYtmZ2kpElU6yU1rSyZOpQhvWxUNPi4tk7RrHi38c4UtvG/d8ZxOr/nAgLzUCgU7M5PJi0ahZOzGFgspkjtW1hKd1Ojx+HR17+GTTnmj8hYNf63B2jsTk8lNa1s+6TcvIz46hqapPKlaXGGtheWkNGvJHcVBMvzC7kdLNDCq0EJ1AdbnlliApYODFQM/RwTavsOvXtrgtaUf1iROm4FSKIlv5u0AoRj8LRZuxDJx57augUVBE8d8coclLMfHHaJrtdQ7s7zJI16HGiEuCLKhvrt5eTl2aWtXV1erys317O/14/FItJy7G6Np7+5xGa7G6WFlvD1B6hErtgtfSfdjH8FwUfVw/OkJJZQjvSqhYnrU4Ps17+nPsm5bL9WB03j85i6bufy4YLVs0ZS6vTQ7vLxw9e6VTXhFZwWVacD/hRq1U8Nt2Kxyvy280HpVqbiyfnEWvQsuq/XzBleCapFj0Pvbkv4nNKiNHJX9u2wGcyKM3MT64Zwp8/Osq4nBSp1Fi7y8vvPzgOHxwP2/bPdyZw97o9/OW7Y8K078HjWQzy6fSJZh25xPLi1mNMHJwa9Tv1dQ15fFmUUImChN8vUlbXxkdHajlcbSPBFJi1D4ZBLAYd2UlG7r06F51axe9vHUl2khGIfHwNSrSCRFOHRAsRfF7eGPX91Fh9mGoi6HFSZ3MxLCOW/71hKHqNSlZZEd9RUSc72cRDG/exfEupdJNZsqkEs14tKTyCkkJAtqL60ndLEES1tPzqQck8P2sMfeKNPH3rCK4ZloxBq2Z4poV39lby4+8MiVo04M09Vcxbs4N4o46Hu9TTfGZLoJhBYFR8gOwkMxs+LUf0g9PrY9rITO6blMv9385jaIaFFrubX0618u6+Spxen6w7YTCEI3ftg6GXB9/Yy+Sh6by5+5R0U0iJovRJNutYcGUOFQ3tslXWq1scEaGXYDv+3/uHuHJQ6hm/UwqdKCNuBUB+lN21bJWIyL1X54WlvP/qxgISTBqSYvRYM+Jwu33sr2qhrs3Fn+8czS/fKZHkeF3rEZo6JIddS6EJgo/jDW4aW9sj35+WT7vbExaSGJ5pYcHEgcQa1NS1unn07QMsuDJHdkR5sKoVg1ZFi8PDoFRzQDXh6vT2KK1tJyNez+o5Y9FrROn4URN9OkblQUOl0Mm3ZcVWNu+v5IlbCrDZfdS0ulg7t4jN+ytZ/clJaR9qFbw8vwizQc3pFvmkn2C4JxCOcjHvm4HJ3X2ljVxbkEmLw027y8f3Xuo8/uPTC3C4PAzLMHUWH7AY0KtFRNEnc+2tvLW7gl9MGUar08PiyXnk97Hw/W/lUN/uJt1iwOH18Pi0fB4J+Q48Pi0fl8/Lix+X8di0fP787zLZKuvv7K3k2TtG02x3Y9Co0aoF9p9s4HsTc6UbWrDd2UlGkmL0l31IJBpKx60AIFvOKVg5PfiYrFOrIlLe//dv+6Xq6uvmF3KizhnWGfzqxgIsBg2iCD+9ZhDNDq9k6zpuQCIpFi0rZo3B5vSSbNaxatsx8tLiWbmtLKDquCWfdXOLqG11kRCj4/f/PBRWDWbH8QausWZI1dxD2yf32D0sI5Y1c8eiVQnMHBeZMJKdaOK2F7bj9PgZnmnhgesGsXrO2Kj7s3Q46s2ZMEDqtIPX5tFNJfzt+1fIesDMvQJWd1Q9T4nRM3v1ZywtttI3Xj6ZJHQiUgBanF4yE4wM6Sg8EPwMQo//yFv7efveK9grc/yDp5tpd3s7YtWBgst1rXZuHJ3F/a/tDatDuWLWGBJj9KzYeoxfTB2Gx+dg4cQc/CKoBPD4fOg0gfT7U0122Srro/vFMzTNTKJRi8PtIzVWz7ajNfhQs3JbSUS731t0pRIW6QYlVKIARC/nFKxi8vStI7G7fVHXcXr8+Hydiozge//7t/3EG7XYnG7SLUb6xRsZmhHLDyfl4kPk+y99zuxVO0g165mzegfvf1GPIECCScfPbxjKgrW7uXXFdg5WtzJ/7Y4wxcHyDwKZeMHRWuioeOOuU7KqCLNOw5zVO2hq98hOfDq9PhJMOu69OpefXDuYu9ftZuYLn/Kb9w7Khhw+OljN49Pzo/potzrlJwGvLciUYtztHo8Uqml3+2TbHQxXBJUaS98pwe72SfHkrvMIwfTzxnZv1OMfqm6nrtWFIEB9mwuHKzC53LU4c7vLS0WjnSO1bZTVtbH03YMs31LKsx+UsnxLKUvfPcjxukBC0Gs7T0UkwyyZYuUP/zrCvRv2cMfKTxne10JFk50V28q7neRWiI4y4lYAopdzujI3mZtGZdI/KYYTDe3djgab7fIm+06vF79fkCb2CrPj+PF3BlNrc/GX744m3qjjZJNDCiOY9Wq+/62cMCVCtB+4zeFhZmFmR51CF68uHC+FItZvD6hUhmVYSDTp2Ha0hsoWJ4NSzTi8ftn9VdtcrJs3hqZ2X9jkZF2bGzViWKEEh8dLfr8Elm85ym9vGi57baJV1KlrdfL8rDG8vP04CybkSstjDZqwohPxRg1ZiTE8fMNQRAIFEcZkxfHw/wyjrtXFunlFxBnVHKlp57V7xqPXQFWzC5vLx4Nv7GXpVGvU40dMtk61EheScJURZ+CWwr6ICOSkxPDQtYPDzLhC93eyKRCyWjhxIIIAa+cVYXd7iNFq2Xa0JqyIQ1WLk+kjMslLNdPq9PJiN5PcCvIoHbcC0FnOqauSZGz/RCnGKLdOqBQtKYoHhV6j4dFNu6Xww82js8KKAoRagS4rtpJh0XGgqo2GdnfY/uT2nZcWg8Pt61KnMBCK2LCzkow4I3/6sFTa97AMEzPHZUethzimfwz/PRoILYQWO7hpdF+pSAIgdVJev8hPrxnC+wdOs7TYGmEBG80DJjXWwF2rP2NZsZWKhk7PEbWaiJjvsmn5vLYj4MctX5cxEPrYsDNQBKJfopEfvRbokKN6ucQaeOCNTlvX4BPHyrsKA6qTECvc0M+pX5R6n6lmHTPHRapuNu4u5dbCLG4amcGbe6qkcw8mzPj9ouz3TpmQ7B4l5V1BoifpwaH6bp8o8kVlCzaXD7UAI7PiOXi6NUKCl5VkklLEl88cJcWVgxi0Kp6YMYJFGz7HoFWxbm4RCLCnvJ5hfeLQabTUtLpIMut4+v3OGPevbyygb7wxrPJLcH/r5hZh93hxeQJOfMFyXw9eO5TZqz9jUKqZO8dnh3W0y6bl0z/RJO2va8WaYEr+8EwLc785gGqbk0STjhiDBotBw87j9YwZkIzN4SHZrMfp9ZJuMeD2eHF5hbDJwWqbi3te2oNBq5Li08GiBa0uDz/+zmCa7B7UgkCiWUNZrYOl75awZm6R1GmHnu+auUXcvmK7FJOevWqH1NaZRdnhN4JiKwNTTdz858giFk/OGE5ijA61SpAmOsOPM5Zmuxuvj5BsVhUWo4a5q3fIfq4PvrFX0ofLVVX6GqSl9yZKyrtC95yNVlajFqhtdvH0vzq11KOyEtCoBJ6cMYLKZjten4hGBUkxOgqz45j9jRwQxbAfd7ASit8vct+kXDbuOkVNR/3CZ24byWmbh0ff/jxsFHvzaD/xJj2/3XyQn14zOIraw0WbyxtRwKDd4+UGaxq3j8umxuZi9ZyxtDgCHZFWTVhoo6rFyeYDVTwxYwTxxs6R672T8ihvaA8bjS6enEduehyPvn2ApcX56NQCgqDB5/dzuMYeMTnYJ6FTajkk3czaeUXE6FWYdGqSzXpW/+cY/1OQSUWzkxi9hY27K3hixgjqWuXnIupC6jLa3T6prfsqbfBZOU/NGAECpHR4lfhFQXbk3C/RxPMflXJzYT8STDpuGt1XUrRs3HWKGpsTh9vPL98JPx9NSLp8WKJPR7irsd0dtS6kotE+e5TJSYUeE+ry99Hheh7auE8amd5WmMX3XtrFr/9+iAfe2IuAgMWg4el/HaWuzcGthQGnOUEQpImr4Ih25bYyfvTqHilNPCPOiNPjx+MTI1QsSzaV0CfBxI9f20N5g4PU2E6tdZCgRlxu8jHJpGP8wGRmr/qMH274nLlrdtDU7mXF1mMsfnVvmHY8I87AdfkZkkPesuJhPDtzFAaNiqf/eSRs389sOUppbRs/u24oa/9znCO17cxZvQO7S5SdHNSptFJbD1W3cdeqz9h/qpUXtpYxd80ORvZLIs0S0KufaGiXnPqinW9KSF3GZLM+bCL1SG0brS4vjW0ubluxne+/sgcBIcJxb8kUK0/94yBFOUn0iTMw+4rsMBfF2Vdk0zfeJHXaoefT7vaHFZEI7tOo00ja+5wUszKSPkcoHbeCLMFknE+O1VNW1yY9zgZjkaGThXI2or//1xHq2wOTlRqhs2LNC1uPSTancts9s+UoJxsDfiftUbTToUUINu+vlLVEVatEBqWaWd5RXSdo7N/ujlR5LH23hJ/dMJRBqWbS49W8PL+Q1xaO5+EbhlDYP4GFE7JJMevwiYEJVptTvl1+EY7WtnHjmH7STaNrgYPgujWtTimUFOohElo9xuENPJ38+aMyaWJUxCdjv2vlH/srpde7T9RJleV/d3MBT80YgRqRP/+7TDp+Q5sLj9fHilljeOLmAp6YMYINnwXi6M9sOYrH55e1KbB75JVFDreXQalmshJNPHTdEJ69YxRP3zKCdf8tY8kUKy5veKGKaDidXnYcb+CdvafZcbwBp7Nn211uKKEShQjkknF+c2MBsUZNxKO1nBQNAn9nJwYy4EJ/7MFH9ydmjEBAlN3uWL2djDgDGVEmwuJNnenTJxocTB/dJyzBRKMW8fvlddptUW4GpxrtzByXjc3u51gXLfqyYiuPTU/jsXcP8sSMEagEWDw5l9d2ngrTO6sEcHnDZYnR1DppsYEKNREeIh0ugE5PQIZn0KqoanHy+y2l3DS6Lxl2HXnpMWFeISadgNmg4fqCTOJMakprA3Fno06NWiVwsNrG613auq/SxsptgYSZBzfuj7getVHUMI6QMEzo+aRa9BEqlWXT8rl3Uh7PfXCUX0yxciacTi+b9ldFJGQVF2RgMChdVSjKiFshArlknJ//bT9atUoa6cnppEMxaFX0SwgoAzLjw9PfgzanweSVrtsZNCpmX5HN8i1HIosQTLWyZttxKa36h5Nz+aIqvC7l4Wo7WrVKNlQSF+2YOk1AG+0SI7Toj24qAVElhSvufeVznt8aDOsYpBh3aqyeN3efkpQcEJhglXsiiDEIrNxWFqaZDoYWgq/jjFrpPKtanKzcVkZ2kpm7Vu3ithXb+eGGPdy2Yju3PP8pXj/cumI70577hMx4AwvX7+LudTtJs+gxatU02d3SfkNH+aea7FFCTfIhmaQYnWxhCHfHk0vYdXv7AO1OH7cXZWPN6L7YBsD+qhaZa3+A/VVfrqbp15nzfhsTBGEw8GrIohzgUSAeuBuo61j+sCiK753f1l3eBMMhR6K4tNW1uiRnvaoWJ6/urODpW0eiViE59CWYdNxS2Jd+CSbcvoBmu8XuZskUaxdlQz4+n5/f3FjAzzu8OYJKkfQ4PfPWBOSCWQn1rJozlvpWF+lxBnRqMOv7YtZreGn+OFxev2wHvWrOWNlzaGhz8cup1rDJtaXFVmINAqvnjKWm1Rk2KZdg1NI/2YQtZKIT4PHiIWQlWeibYCLNoifBpKauzcMthX1psrskt79fby7lketzO58IYg2IeNlV3hIhH1wyNVBH0qBV8Yspw3B4fKz7pDwsfbwqSqJU6Ei9qsUl2QDUtbkZmGrmqRkj8PlFVCqBF7Yek24Yr+08FeGu+Ispw2h3e1gyZRhLO5ZfMyyZud8cyOkWJwNSTLx69zhONjk6slkPc8uYLNl2CQKM7Z/AjvLGbottAFT3oO6pQoDz3nGLongYGAkgCIIaqAT+BswFfi+K4lPnox1ytqWX88RJaHgkVL8cJKDHVkvJIYNSA3ahj737Bc/cPpJfv3eQxZPzsBi1YZ3Asmn5pFgMvLjtC56YMQK1APEdZvkFfSyMyk4MS5/WqlW0dMSwh2daGDsg4Lsd2rlt+LQcnUbgR98ZHLUYb1MXDXjwHGL0GlItetbOLaLa5kQtCBypbkbAzKOb9vDKgnER+uXFk/PCwkFP3TwMP2pJNhgcRY/oF8uKrWVcMSCR24r6hSXrNNpdfHiwhoJ+Cfxu8yGcnsBN7YXZhVS3ODHrNSSYNNz1jWyqWly0Oz0km3Xce1UOiTF6Wp0BP5VYg1r2vEJH6imxOilMdIM1jStyU/hFiLfIokl51LW5qWpx0mR3k2zWd8TPRRJjAiZX5Q0OspOM/P7WkRh0AnU2N3NDPoeApNBITYuHb+SmRA1rJZl1XPuHj6Xt5OSAQdJ7UPdUIcCFDpVMBo6Jolh+Pg8arQai33/patq/KsfrO8MjcmGQRZPyeGHrMW4rzGLltjJUqs5H/T3l9dx7VcCPOthpQ+fjsigihRn0apVkln9tQSYPbtwflj79wBt7pUQeWUe+d0q49+pcbh6dxYK1O6PWpUyJ1UekqC+enMdDG/dz54ufcaKhnfWfHOe+DZ8zPjdVmrA83eyQnZTL7KjXCJCVZJFVirTYA9mYcyYM4Eev7uW+DZ/z0Mb93Lfhc3706l5uGZslddoAO8tbuHvdTk402Pn+y7uZs2YnA5LMqFUCT//rKM99UIpareb+1wPFIB54Yy+1NhdP3zoiInwUHKkvnpyHCkF6OpgxNkvqtINtXf5BwG0w+Ln+clMJ9234nAfe2IdGpaK8wQEEXBd//NoeDBqN7Pl6fCruf30vy7eU8tQ/DsuGtZwh8xtOT3ixja4UZMTJ1z3tQZjlcuNCR/xvBzaE/H2fIAizgZ3AT0RRbOq6gSAIC4GFAFlZWV/qoHIx3Ptf28OQy9jYpryxXboeVS1O1m8PPKJb+8Ri1Kr55TuBmoAtTg/P3jEalSBKj/rBcIA1wyI7+q1qceLz+Vk1p5CGkEIF0TTJTXYPiybl4XB7ZbXEbp8odeiBR/rwMMySKVba3R7eP1DF87PG4HD7+KLKxrpPAhOBGXEGKpsd3PWNHMYPbKU1ZNR+qKYt6iP/sqnDePSdL7pVigBRfUtCizR03Xfwdavby/E6G6vmjKWhzU2yWccN1jTe3FMldZjP3DaKlXcV0mT3oCLgMzJxcCpXDkpl3Sfl9E0wScepb3XJXsMh6WbZydGuHiGBdkdP25ebdBZFEUEI1Na8c3x2xHbBYhtdMRg0FBdkMCDZ1Fn3NCOuRxOTl9sT9AXruAVB0AHFwM87Fv0ZeAwQO/7/f8C8rtuJorgCWAGBzMkvc+xohkrRvlCXA+YuqdHBybD184oY1S+B5bePorrFiV+Ex94tYfb4/vz9wGmemDECl8dHmsWAyyOvODhU3crKbWUsnpxHTopZWieoSe66foJJy6s7K3jqlhGyYYtUS2cRgBidlo27S3lixgipqO26/5bx8PXDKMpJ4p71u1g61cryLYGsx9BsyNC4enaSkfIGB1kJ8u58R2payYgz8sgNQ7pVigAkxsgXDUiJlQ8FhDr/mXWCVJYtNCwBSJ232+fn9/8s5cHrhkoFHMLaERJyyIg3yF7DzDgjD7wRWWChq0dIcJn8+YQvD046hzpKypVc686HxGDQMPYMdU+7Eq3wR7SQzNeBCxkquR7YLYpiDYAoijWiKPpEUfQDLwBFvXXgaDPml4uxjZxW1qRT8/D1Q1g0OZf7JuWyeHIuD18/BKNOjUolEGvQIggCh6ptuL0ifRNNTB6azoNv7OVEg52F63fyxw+ORjwuhyoYntlyNFCoYFrgcbirBluaxLO5eHLGCLQqQTZs4fWJUkGHpBg1txZmS0ky/+/9Q/zgqjwa7G6cnoDTX6jK46bRffF43KydW8QfZ45k3bwiTtbbpHYPTDFz/3cGRZzD6ztPsfSdErKTzMQZVbJa6pTYQPx59bbjEcktS4ut1LbapSSe391UwLN3jOKpW4YTa1Dzx5nDWTu3CK9fJRuWmDE2S9pXslnH3VfmkBqrlg0tpMWqpTBRWV0bn1c08PysMfzhtpGsmDWGzysaqG11RrRxWbEVu8sdEV6KppX/x/7Kbp0MH5+eT6yxs2DDNcOSWTu3iC+qbOw60Yjb7QPA7fax80Qj7+47Hba8p0R7go4Wkvk6cMG8SgRB+CvwD1EUV3f8nSGKYlXH6x8D40RRvL27fXxZr5LL8Q4dJJpWdni/WLYdbeSp9w9Ly396zWDGZMdT1eKSrlV2kvH/t3fm8VGVZ/v/PrMvmcm+kRBIIAgkENYIirRIq7Y/QGtRSi27L7bVQrXV7lrQ2rq8WlHfVlRQ1FItWkuppbZIq1QQAdkiS4AQtux7MvvM+f0xMyczmTPImhA51+fDh8mZszzPLPc8576v+7r40Q1D8PmDynwFGVYa2j2y23iYzSAFJA7WtvPWjhNyeuLmUbnkJZtxeH0M7WPnRKOLgnQTXp/AYhR8eqojalyP3Dycxa/vjJnD7741kjanX973+VnDSTRbaAqZCfw0gqUSqdm9ZF0Zv/vWCOpavTEt6EOzreh02mBaJwA6jYaaVhd1bW5e++iYnE546hsj+M3f90cpCGbaTFgMErXtPnYeb0Gn0TC2fyI+v6DR4SHTbiTBoKOuw0VdmzfKiOKBqUVUNbWTm5LA/WvLePTrw1n0x9g5Pz1zBPeu2c2SaUV4fX7sZj3JVj0WvQZ/QCOPQ6sNgBSgrt2Pzw92s5aqFneM+FVusokEow63V6ImxAdfv+ck7x2sD1qyIWEx6hBAXZubAelW2l1BM4gMm5E3t1fyxvYq+qWa+fENQyivbSfBqKUox05Th5fsRBNF2YloNIKjDR10uL3sq2qPMcWYUpTJurKaqNdk6Y3F3DS8DwaD9ow+05sP1zPz+VjdlT8uvJJxBWln+tW4VKEYkHokcAshLMBxoECSpJbQtlcIsk0k4ChwRziQx8P5iExdrsI2H1c0MEvh9nrV/FLF2+5XF1zJt178KHjbrZBmCDMufvuv8qhjf3zDFfw2tFqOd9xVBSn893Ajy94rZ9W80hixqMWTB/Lc+0dixvT8rDH8zyvbYraHBY26bl8woYAPDtaycOIAMmzGuKJURp2Gw/UdMYE/nAcOX+N/393Pt78wMEoH5Z4vD2JUXhK+ALh9ftlUIcxAuX9tWdzxvTyvlDmhMa3+nytl9kbXfera3Cx/P2gWvHhyIaX9U7gt9N50fS/vXbOLKcNzuKYwTVGUKvL9vnlENtPH5tHQ7ibTZuLdspN8uSiHGSHRqp9+ZTB6badFW79UM7+cWkRAkth1oiWmuef1heMo6Zsc9bnbdrRR/hyd6eduTP+U2A+wAo7UtfPVZR/EnONzYsZw6YhMSZLkAFK7bJvVnWO4lIRturOwcjqurFIRqzrC9Ddei/pdkwbykxsG0+DwYNHrGNrHhkGn4Vc3FfOzt/dy86hc3ttfHcxDh2zCXv7wCCP6JtEvRS9znLuO641tJ3jwxuIoKluY3xy5b6RQlZIdmRBBvY7jTQ4klLs8PQEfwq+L8Xtc9l45P7xuEI+/e5AHphYFW7inFvHd13ZE7ffEPw/y3KzRQdqeXiOPI/w2DspIiGt/Vhsx966O7+E7ovAKN4ynNpTz3KzRfLUok+lj86gPudj86eNj1La58fiCC7LaOIXU2tZOrjl0RgdJQGOHj7o2Nz/9yhUUZtlweQLsD3mQVrW4qGxw8p3XdrBy7li5dhB57uoWFyV9u37u4hR0434ez9xIoX+qlWe+OZLdJ1oISKAVMCw38XMtDdvTrJLLHt2dtonHlc1JMsneggEJ+qeYeOLWEurbPayaP5aVmypkZ5quwd2s15Jm05OfbqXJ4UWv1aDTSKQlGLnnS4VckWUjN8kc3X4+pYgMm47jjRp+sHIry2eNjhlXk8NDQZqVR6eX4PL4yE+zcqyxA6fHL7ecA/z+tuG4fRqERlJscx+QYWHSoHSONXZg0ImYdvUx/RJp6vDh9imzPtJtJl5dUIqExFUD09l7Utl9vrrFxalmJyPyEvlm13FMKSLZaohb1Axvf2tnMDivnDuW+nYPqQkGtBqJ+96sirme2xtg3IDYQmZ+mkUuSL44e4ziNTPsRnZWtvHn74xnz8m2GI52dqKe403wnVc73ea7epA2xuHKZyXG1oqy4xV043K3z67e5PFJLA/dnYW/Q59n9DSP+7JHdxdWkixaxUKTXivo8PhZ/v4Ryk4045cE8176mO+t/oSFr2znhmHZDMq0KCrGleYn0+4OsPCV7Sz+407mvfQxh+ucvPZRBb4AmA06RXfzho7OPLVSQW/ptGIcHg/3rdnFk/8qZ1tlEz97u4zFr++UW85/f9twDtQ4mb1yK3WtHsUuylaHj61HG/nJn/dyxys7YtrV771+MOW17RxvVG7/PlzXjtMT4IPyBpZtOITHH1Dc71ijk+feP4JOaGMU9JasK0OvE4pc503lNVHvyTtlNRxvdLBxXzXzX/oYn09ZUiDValAsZHa4/HJR1xcIKFqumfQanthwhFaXX7HF3x/QxBSGw/zv8HlykswxNmUP3VSs2N4+rE+iXJSW398biynOsiluH97nzLnbl2NxUl1x9zC6m5p4uM7Jicb2KJGi/5bXkJVokr+oSsa3D6wt4+V5pdy3JvpL/tSGckblJcvFr8j9n5s1mjte2c7j00s+8zZ548F6AJ6bNZpWpzfokqKVuOeN3SyYUMDgLBv3RuSHw9cenVcqB6+2OKp9GqHMTnlxzhj0mqC92JX9U5CERG5ycUyX4StbKhmQnoBZr+XOSQMxaDU8eesIfrN+H5UNzqj9XN4Ap1qccdMTb+44xotzxtASMlvw+X2cbHaSbjOEUkZB/rJBC2aDlqkjc9BqBfdefwWP/aOzcHzv9Vfg9isr9UWmnapb3Kz+qDKKLvnC+4e54wsDeG7W6NNy0pW2h52DHrqpmOI+iRT3SaQwI4HqFhdZoYKkThe7HjQYtNw0vA8FaVY5JTi8T+Jpt58pLkd6rxq4u+Bi5ps9Hj+7T7VQ3eoi225iWJ/EuJzgi0VN7JdqpsnhlYth4RWY29vpwdgRJwDWxWnEiPclD8uvptnipAi63CZvPFjP5opGVs0rZVtlEzoNzBiTJzvQxLv2+PwU5k7IxxASwep6HVccf8n6do+sKR5+HfqmmOQWfEmCV7ZU0uTwkJNkpqbVJTuph/Pt6TYju463RDWyWAzKdmF9Uyzcd/0Q6trauXP1XvluJytBy7yXtstFyHCxbuW8MVS3uKlqcfKnbSeiNEte+KCCpTcWKV4nkl9tMeo4WNvOotWfRO2TYjUw8/mPWP0/V8b9/CltL+2fzJeHjIsK0CV9k2Ny2mF0/T6NykuO+T4ZDNozLkQqobu/Q5cC1FRJBC5mK7zH4+ft3af41osfcdcfPuG2Fz/i7d2n6GMz8cStI6JuFS+m557bKymmE9JDwRUg1abcRp4dh/8ejxcfll+16pXTM9lJytsTLVqWvVdOdpIlqhiqdI38NCs3DMvmjle2U17TppgWqGp2xk2BdH0dOlx+su1mXvjgCM9uPESTw8PSacUIpBjzhAfXfUqCQRuj8vfyh0dib/+nFWHVB/VN7ly9Vz7H/WvLGJSVLNP0NJqArAjoCY0pIAXz/c9uDEoDhMeVaNbH5VeHz/H8+4cVXxOLPsivbg0JYnU9x3/La+RzhLc/dFMxVxWkUdI3WXFV3RXdJS0R9kLtru/QpQDVczICp6MVhV3Oz3UlHo8O9eqCKxmVl9xt1MT1e6tY8tdPYwqMy2aOoLKhA5NOh14naHX6YlIGY/OT2Xa0KaYL76qBKeyvao/hCm/YV8WIvqmM7pfEY//Yz+yrCqK6G39w3WAqapsZmJlMTZuLvGQL7W4fjQ4vBp0GnQbKTrWRn2alttVFnyRzVHri7i8NoqRvInNDXod3XTuQ9w/UcvvEASBJaIRg+fuHqWv3xNARl04r4sl/lUcFXIBHvj6M17ZUcvvEAQgk0m0mXF4fTo+f77z2Sczr+X+3jaTN5Yua+w+vuwK7WYtFrwcBGTYjRl0wB/691bHneHrmCBLNepqdHow6LclWAxV17VgMer63+hNFOuWiawsZkJHAP/ac4paxedS3e8i0GZFEgKP1TpItBnQaQYvLS1soLdPm7kyV3HXtQHadaOWtHScYn58cRQfsk2LkRKOLjAQjTU4vVS0uss4hhdGdNL3PMb330qEDXqqIlyuraXWxv7rtvJgf8ehQ1a2ubqUm5iabuWNiAb8JiR2Z9Bp+fMNg3D4/Xj/8/O1gHrlfqplnvzmK8tp22lw+Xt92jLxUS5TMqCm06qqsd5Jh10dJl3oCPm6/ZiC7j9XT2OFlW2UL2yqDQevmEdncc91g6tvd5GckUd3qoK7Ni9sX4Odv71V0GP/FlKEcb+xg0eRCdEJwuL4Dk04TQycLpwXuunagbO4L4PJ4+N23RvPJsSaGZNlJtOi4ZUwuAQnZJ9Gk15CbbOZ/Jg7g5Q+PMPeqAiRJ4mBVM4P7JCvejqdajTyyfn9UGuOVLUd5bHoJmw7WcEV2Ek6PD38gGPDCDJ1wTj/MKmlyuMi0maltcyEFoLy6hclD+2DSa6K0Y7QaGN0vmfv/speHvzaMzRVNZCdbGZyVgMcf4ERjBwlmA7tOtPDWjhN8fXQuL3wQy4VPshj46EgdP/nqEJxuHw3tHl7+sIL7rh9CblICfezW82Y7dWfu+VKi93YH1FRJBOLd8lsM2vOuWmfGST9k2rpXstKg1chBG4Jz+c36/Ri02qgUSmWDkzv/sIM+SWZe3HSE735xIJaQIP+zGw/x5vYTctHvzztOUNvqZffxepweP7NXbuVbL2xj9oqt2C1mBmd1GincPCJbprB9b/XOEA1NIsGk5edvB1f4N4/KjSkmPrjuU9o9fmpb3TR2eFi24RC/Xr+frIj3LJ65w80jshmRl8p3Xt3On7adoNHhYf5L21i24ZDsk9gv1cwDU4t4JOSZeeuYPFKsOlb+9zBJVjPJFl3clMI3xubJTJsXNx1hxpg87l2zi9yUBIpzgoJJXRk6kwalyefw+D20OP3MCZlBzFm5lUFZSSRZOlvXw9ox2XYzT284yLe/MBAkSfbs/N7qndy+ahsajQaXxyenb94/UBvDZFk6rYhki1b2AQ0rD946Jo+clODn8UIwNS53aYmLCTVVEoF4nOp0m4Fbfr8lZv+zaandfaKJfVVtMemEodk2huUmf/YJLhDeLatm4SvbY7Y/PXNknNv4kSE95ABOT4CaNg/3/2UvCyYUUF7TzG3j8jHqtMxduTWqAzAMkz7YHXe0Pnjrn24zKu7z2xkj+ParOwBiVsth3HXtQF744AiPTS/B7XGTl2qXWRgnGlq5Z82nwQA8pQhfQKKu3c2D6z5lxdyxHKltw24xkmDQ8t0/7Ii5/vJZo3n8HweCKnehbS/OGUNjh5eXPzzCvdcP4c3tldw0KphSSE0w8vaOY9xQnIOEhM2kZ9OhevwB5Db/8NyVOgNfmleKBpCEDyHp4nZzHq1vx2Y24AsESEswyo70Tq8Pg1bDj97qbBjKTjRxy5hchmTZAfjN+n1MGZ7Dut0nmTI8R74jWLf7JL+5ebhih2a4Y/FCtJFfztISFxBqquSzoNEIbijKYvCia6JyZUcbOs67ap1g1LNhX1BmtNnhJcmi57UtFYw9j2r6ucCkV2ZexFOuS00wAJCdpOdQrYv+qSaZtnbt4HSO1LVh1Om4/ZqCuF16HR4fWYkm9Fpt3H0shmiDAKWxSFJw30GZFnYd93cxMijmH9+/iupWL69tqeD2awayZnslz80ajdvnw6DXcd+aXXHZKVuPNslBO7ztRJOTB9aWsWRaEQ6vl4xEKz94Y1dUXjw3xcabO47zw+sGK3YRxksX1LW5ZH2Xp2eOjMuYeXLDIW4Zk8uYfkl4/AHaXH76JJpICGhpd/l5bHoJz8fJ4/9iylDSEow8uzFY0IxEPInZcMfi+TA1fL4AZVUtVLW4yEsxs+6uCdR3uD9vuecehZoq6YJwrmxcQRoF6QloNOKCVK37p1q5aWQed4SaVO54ZTs3jczr9sp3klmvyDIwG4Ti9t+8s4/ZK7ay+VArWXYTR+uDzS4Pv7OPrRWN/OIvn7Lojzt54YMjcW+Ns+xGqluC6YJ4xgcmg1ZOc7y5/UQMoyGsMmjSa2hxKDWN7KXFEeCOV7bzpSHZWAxaJg8Jsk2c7oAsYhQ+X9frd40lJn3QVcblDXLS21wBOa2SHeoMNOk1DEy3MmNMnkxt7HqOeK9JWoIxYh/lYzNsJpocHgakWzlc5+COV7Zz75rdLFi1jX1VbfzqnX3cu2YXM0v78Z0vFMTIEQSt5JQ9Nk83Xjh3pobPF+DtXSeZsXwL3351B9N/v5mdJ5oZk5cif59UnD8uu1TJufK0L0TVOt45ulOrZPvRRv6+5wRfKsqhLjSOf5ad5MtFfchJMXGqyU1dmxtJguXvH45KHUQKQd05aaDMaQ7j7mvzyU5OiFHe659qlY8L57i77rPlcD3bjzfziylFeH0Bjjd2oNEIUq1G9FoNJ5odOD1+0m1GEs2G06Z1WhwOEkxmORXw2xkj+H5IZVCJofHQTcXkp5nw+TXye+MP+PnN3ztTJ0/PHAEIXv7wCFcWpPPipiMsuraQnCQTP3prDwsn9JMV/iLnNbSPhU9PORTn+05ZDb+cWkRxTkKMMuLSacUMyDDhcIPXH1BM70TqXj83azRzVnwc85o8P3s0h2rbY5hA4wtSOFjbcVpVvnP5zO863sSM5VtixqokPKXijKCmSs4n53YhqtZK5+juPKBP8jMoK0lWjAsHEq1G4sNDTdz/l708Nr0kJjAGb907GRyRHoxhPPleBW9/98oodgkiukMyrMUR6fBi0gssRh3ZyVZ+8fZevj+5kIf/foDsRBNzr+rPk/86KI/17i8NYlBmHH0Lm5HZK7bKBb/w85HGBmGGxsKJBQzJsrP3VCsnG9oIBOgSOIsYnZfI7pOtwTQNgvvW7AppjuhYMKGA17cd44fXDcblDbBsYwWLJuXLHamZNhO7j9fz971Oqpo6ZO2RtAQDGo2ERBpfHJLFqg+PcLwpHbfH3dk5aTNiM2s5VOvgeyGGjFJaI8o5x+VTfE1Mem2M4fCqzcFO0NxkI8tnjabJ4SXZokenJYqffS6f+aoW5dRQlYLwlIpzx2UVuC9Fy7LuHpNAWah/1fxSefUVX/gnevt1Q9O4bVw+TR1eUqx6Xt1SwXsHGqJyveECXeRxb+2s4p2yGlbOHUuKVdDiCAaULwxKY1pJGgdr3Jj0Gm4elSsH7fBYn/zXQdYvHq+goFdEhl0bNZ/wNY82dPDA1CKZNdPk8JCdaKauLcjU6CopGz7HS/NKWb3tJA9MCXo6urxBzZHnZo2WHX1ONjvk6yzbWMGyjRWY9BoWTizArNfy1o5g5+XYgjSK+9jYV9UWNe5I4aZXt55kybSh3Lr8k6jXLfw6KuX8w481wKJrC6PuJO758iBSrTqZCRT1XtoMzHg+tq/gfDnWqXGEtFKthnM+55lAqSv5bDjnvQ2XVeC+FDUNzmdMkUWg7EQzRdn2z+xoq2l1K0qf1rS6+cud42hxBrCZNDw1owSvHzrcPrKTTCSa9Lj8Ph79+nAO1bWTZjUwamx/7v/LXrkhZum0YrYcrouZi1Yj8bvbRqLVaGgMBXl/IEB2oo6tFa0xAXh0P1uw4zGO5kd5rZPR/eydK3u7iaxELbuOd/DGHeNItGg51eyWJWF/9+8j3P2lgVGu60a9hoAksWp+aVxp0bo2F49OL+GFiJSRyxs0kHji1hLq29xkJpp4feFY3F4hj8Wih4aOYLNLTpIZQv6Ls8b3p9XhlMe9v7o9xvPRpNPx9MyRPP/+YZweH0tvLObZjeUxQXnx5EJWba4M1iKmFPH7/wQLlAsmFJCXYuZks5Msu4n85AQev6WEH/6pU6nw8VtK8ASki/JdcPl8ih6gbp/vnM/5WQh3JZ+PGUNvw2UVuC9FTYNzHVO4CBTmPodztTeV5Jw2ePdLMStKn+Ylm9l1PLgaXDJ1CEJoogLqA1OLeHdvFZMGZ0TJZ0auGO9fu5fls0bL6ZDwXOwmHYdrnTGpCKtRr7z6n1eK3+9nwsA0+VqR5+uTaGZ7ZVvU+R6YWsTqjyo5WNvO0mlFmPVBil44WCdZDJgNGqxGDZIkWLKuTP7B6XpHEL5Ops2kSNOTENzzxi4WTy5kYIaZ7Udjf3x8Pg9Cq2fZhkMyNbBPkgmrQcvBmlb6pSbE1AhMeg0Ha9t5cVNQ89tuDr4+P7xuMFXNDh6dXsLR+g4sBg15KVZ+9v+GQJdaxIubjkTlvt9ZdA1fLc5maLb9gjOllGA3GXlzR3mMB+gvphSd13lPh92nWqKKzy5vsBhdkGY9Lw2USxmXVXHyUuSVnuuYzqUI5HL52FPVEtcBp8XhRacTGLVa5r8cy/ENq/3FK5JBp8VWZEAdkG5V5DIr5dKD5xjJsBwLje0BDtd3xLTej+mXrBhQH51ewqLVn8QUUrvO84UPDkWleE40tKLTGWN+WJo7nOSm2AhIwTsPq0mHBvj9fw7Lue+41wltXzChgHW7T3L/lCLKa9pxen0UpFv5z/5aBmbaY9rYI912Xpwzltte+EixoLpkWhHr91RRWpAaVXiMPAfE510HAhLvHaiJMh8YmJFAfpqVwZmffecWD+e6oDgfrNt9irv+EPs5evabI/l/w/tclGt2I9TiZDye9tmwSi408+NMxqR07XhFICX3EQgG7c1H6+nwBBTNECrqO9iwr4r5EwZQ1+bh9msK5FbwsI9kRxwHl/B5TPqgMt2q+aUYdRJunyA9QcveUw7F4+Ll0sf0s/BBeXBFnWwxsHBiAQPSE8hJMvKDP+2mb4pF8XxOj09+HE+x0OP3yTTByCA4LNcaKiwGPRXX7znJ9mMtfPNKs6ytbdJr+OXUoqjznU4WNdliYGi2jYL0Qdz5h05Dgh/dMJjNFU1srmhi4cQChmbb2XOyNSZtEjYq6NryPr4gFY/Pzzeu7MeRunbumjSQdJuRk83OqHN81gra7Y02H7j7S4N4/N0DfO/awnMOtDqdhptKcs5I6vVCIb5Jw+e3Q/Oy43Er8bQ/Cxdb5ex0Y4p37T5JnW3kYZj0yu4jAIcb2qlt82AxaBTNEPomm5g8JJu5K4Ot2WHO8qRBacwsDaZW7CZlTrAkIQfA5/59iNkrtnKg2sHm8ho+PtpKdqIyZ7hvsrI64PGmTp52VYuLZRsO8aM3dxMICL77xYFxOchmg05+HHaV6bqPQatT1A5vc0rMWbmVvBQzR+o7WL3tJLdPHBBjiPDLv5YFRazoDA6KfGibidnj+5Fs1fOzLnZoj6zfz82jcmlyeMhNMpOTZIpRGDTpNSRb9DKfPdzybtJp+fFbuznV4ibbbuSpDeU8/u5Bfvuvcky6oCRB+PjT8a4r6jv4wZ+ii+JP/usgU4bn8PO391JW1aJ43JlAp9NQ0jeZ64uzz1hJ8HwQz6ThbMwYehsuu8B9Lugph41AQGLPyWbFa9uMuhj3kQdvLKbV5WHX8WZ8vuD+TqeXrRUNtLn9PLC2DL+fKB2QZIsBp9dPm9vPqeagqlz4OsveK2fuhHy50CRJUoxLzcNfG0ZJbiLLZ41m/Z4qNh6sl3PVEwZlcaLZiUGn4bczSnhm5kgeuXkYz3xzJL+dUUJDB1xVGCwyPj1zBKvmlTKx0B7fh7DNzYZ9VViM2pgv6i+nBpkf4eBf09qu6KhTG+fctW1uXp4/lhNNTgZlWHlqxkiQlAt4To9PTgMlGIXij8/B6qCKosenfI7BWQmsnDuWPslGJElSborSaxjVL5mVc8eyaPJAFkwo4JUtlVQ2OIMStB6//BmoanHx+rZj/O5bo1k+azSvLxzHdUMy4y5MKhs74t49he/cegvCZgyvLriSZ785klcXXPm5LkzCZZYqOVdcbDaKEjtEoxGsL6tmf3Ucf8NWF1OKsumXEhQxSrMZWbHpEO9+Ws91Q9OYP2EADSHPQpfXT5vLL99+h8+nlDv9xZShtLm8tLv9vLn9BK1Or7x/mk1Pk8MjGw1oBOg04PYFV603j8qlKDcJgPcP1FLR0MHy948wNMtGs9MXk3Iw6l389K1ybp84gPxUE/uqHMxeufc0xUIjk67IxuH2kmjWRbFE9DrB3dcVYtXrSbRq2V/VQWGmiRdmj6HJ4SXTbsSiD9DuEYrntpt17KhsZtXmSlmDu2+KWXHfrMSg2YLX52fBy5/wvS/2i+KuH6xu4udrDwDE5VcnWwx4/AFe23KU6aPzFF1qFkwooKrVSU6SRbGdvrHDI6clalrdGHQaHljbyfI5Xa3EGsfsIXz3FO/O7VLF+Zox9DaogfsMcDHZKPGKOSNyk7jnjZ3cfk2B4rVtRh3ryqqijlt0bSEJBj1XDkiTNarDq7f+aRZMeg0WY+cXVsm1/cF1n7JgQoHMU+6T2Bm82pwB7ntzT8xY/nD7lTEyrL+cWsTToXPbLQa+/0a07dgv/xpkj4RlWN9YOE5Oj4RTKF2ZGkadnyXrgsct/uPOmHG8HKdQ+Nys0XJjztj+9phzL5lWxMpNFWyuaJQLrfev3cvvvjUqiv8dprb9b0iMKlyY/elfDrB48kCeU2DAODxeRSqf1x/U9148uZAUq0HRpSbMMHl5XpwfMrtJTkt01b4O35nF6wfItBtZPLkwprD5+rZjcX0jVVw6UFMlZ4CL6bBRVtUiB18IfuF+/vZeKhqCt7JdpUr7pZp54tYRnGh2crzREZPamD42LyaHu+SvZRh1wVv6lz88wi9Dt+VK3Y+Rt8tPbShHojM9UtPmJtli4M5JA7nr2uC/ZIuBgCSxYV81j04v4ZGbh/HY9BLWbD/GY9NLeGjaFVQ1xxFaanfLKYLIrsxtlR1ckRkUs3r9jrGsmleK2aDD4dXw1aLMqH0jz1fb5uKleWO5bmia/Fr93zdHcaimnduvKeDZfx+irt3Pv/ZVsWLuWJ76xgie65LiuSIrgVXzxzI+P4Xa1qBf4+PTS3h65kgenV7C6q2VUZzucGH2jW0nWDotOn1zz5cHkWQx8vq2Yzxx6wju+fIgFkwoYNXmSho6vJ2P2z0xaa+wNovLG6C8plUxlaLTBIvOH1c0UHaqlcemlzA8xx7zmighL8VKYWYCCycW8OOvDGb5rNEMyEhg2YyRF5UBouLCQF1xnwHOlo0Sj4FyNuwQc8haKpJRkGjSkmw1RlEHI+lfLm+AZodHscGmttWDSSf48VeGUtXiZOHEAobnJMa9XQ6Po6rFTX6alb/cOZ4OdyBmZb14ciFun5+vj8qL5oZPKeJgdSsGvYERfRMUr5OWYGTNtuM8N2s0Lq+fxZMH8sa2E2TaTcx4fiuvLBjD0TpXzMo7XOzsej6zTsvclR+zdFoxC64p4GSTW9b4CL9WTQ4v735az8TCTB56Z1/MOY41OLhv4yGWTCsiJ9nE7pOt3LX6E15dUMrtq7bFfa2aHB5SEvRRaSSjVoMAbivN40hdOx5/MNAbdIKKeofMtXZ4fDz9Xjm/u20UDo+fT6va5Pd0eI6dvqlWnB4fK+aO5VSzE4NOy6oPj/D49BLW7qmK5rNPKYLQj4tJr0EgOFLXHvN51WgE116RSUFaQtzP9Lk0eKnoHqjvwhniTNko8VggPl9AcXtusjI7JCdJL6/gwoyCgRk2mdMMnavsm0flyselJRjlBpuwQP7MK/uRYjVw31t7cXp83LtmN8s2HMIvEVeFL/z3/uo2Zq/Yyq7jrWg1KLql67VauYAZ3r5kXRl9U63cv7aMhnZ/jJj/A1OKQAQoLUjljle2c8crO3ju/SDD5WBVE0unFREIKLfn67UaxRWo3aoL7bMXJA0/7cLmWPZeuayWV5BhjZn74smFaDVCZppIkpCfs5l0ivuHFQsf/towHlz3Kcs2BH0hw0YPSRY9NrOBZ0J+kS98cIRvf2EgHxyslc/RN8VKZYOT77y2gwSTTmaYDM+xM7O0H3e8sp1vv/oJ81/6GK9PYtWHR4K0zXZPjEriknVB1kv43N9/fWdcFtTpPtNdVf5mLN/M27tOykVvFT0LdcV9gRGPgfL6wnGK29fdNYGHbiqOyXHXtft59t/lUeJAn1YpFyqF6Ay6LU4vv//PIfk4gN//5xD3XR8UQyo71SavyN1eP0LAXZMGEpCCDRiPrN8nN4CEV/PJFgMnmp1YjTpltkc8pkZoe02bmzd3HJOLb/3TzAQCgtpWD6PyknjrO+M5XNchKxUOvSKL3CQDn1Yp87+PNTqVi3nXFHReO542uNvL0mlF1LZ6FMWXvj46V943zKP+6VcGU93qZnCWjVfml1Ld6ibJoud4Ywf3XX8FJ5udJBh1VDY4Y67X7PAomjP//luj0QhYuamC3GSz/Ny+qja5Zfz2iQPkuxj52HVlsk/p3/ZUKX8egIUTg2mYMMXwbPVv4qXwCjMSVJW/SwBq4L7AiMdAOdbolEXvI3Ok9R1umR1S3eomy25kWHYi/zxQS2WDM0oc6K5rByqmCK7ItMlqdY/fUsKMMXlyMaxfqpkf3TAEjYDFkweSkqCLaXlfdG0hr31UCcAtY3IZmm2nor4Df0BizlX9SDIbgvzlLoXSRZPymVCYiV+SFMdlDKV7Mm1G7r2+EIEOSeiorHfFdCmGZU6XTivCahC0OH2nFbtSKuYlWfTy4wybckHZatCzu6mR8YWZip6TkcJN6TZjsFD73woeumkYXl+AH67ZJbM2HphaRJvLy+PvHuSZb45UvJ5Oo1H8PGyrbOKFD4Kt7X2TLfL+bS4f7+w+xePTS5BQrkE0tLvRaETclFG6zcD3VseyUM6GBXW2DV4quhdqquQCI15Dxv7qNln0PlxAMuk1pFmNrCurYtaKrXxv9SfMWrGVdWVVik0mf911koe/Nizmdv3hd/bx4qYj3PnFQjQIOWhnJ5qYMSaPe97YybdfDaYiNELD7/9zSDHdElbNC68An9l4iDaXX6bxRRZKF03KJzclgdkrt/Lrd/bFpi6mFLHqwyMsnVZMXoqWygYPs1duRUhaBROEMqaPzZMfBwIa7n5jNzaTcoNOqlUbw9FeMq2IlzZVyI9f31oZk9pYOq2I3BQt2ckJzF6xNcZzMjL1sWRaEc//5zAvbjrCN8bmcd+a3Xz3DzuYMSaP7ESTvHIOG0M43N6YMT0wtYhjjR2Kn4ewm8+Sv5bR7PREpV4O1rbj8Prpm2JRPDZM1UuzGhRTRokmneJxZ8OCyk48uwYvFd2Ly0qr5Exwrq3t4UJOQ4ebFoefn/x5d9SKNlKD4tHpJdy3ZhdP3DqCvBQzd/5hh+wJCMEA/cLsUXxyLFa8qKqpnZH903F5/ZxocpCTbKHZ4SHDbsTjlfD4A7L+h5LZQZjC1tXK6pmZI0m36wkEBPXtHhLNOlZuqqAoNynK/zE70cTNo3L5QmFaFPVueI6dhRMHoNFAmtVIh9eLVa9Hq/Hjl7SyVkl8b8sRUVZeWXYj1a1uNu6rZvrYTp/HNR8f4/phfUi2aJGkkPGB3YTdpOVwnQO7SSe7qEd6MO491cq63Sd5bHqJom7KqvmlBCSJmlY3yRY91S1OEkwG9le38qdtJ6LayLtqs5TXtlOYYcNq1GDW62ho95Bg0nKswYHD68dm0vPguk8VPw8Az3xzJFdk2uhw+zjZ7CTTbmJ4n0Q0GnFa3Y/Nh+v59Tv7goXoiJTRT746hCaH97w0eXpCc0SFIi4drRIhxFGgDfADPkmSxgghUoDXgf7AUeBWSZKaunNc5yr41PVD3i/VzO9uG0WHx8++CIYAhGROBbyz6Br6p1r598GaqNRG+Itd0eBi36lmXppXKjvVNDtd9EvNZGz/FP62p4ql6/YByEWsJeui0xnx6H7aLt87k15D31QTB6raY/jNSIGo2/FwoXRwli3q3GH2xdMzR3Dr8i1R535seom8b7z0R2qklZfNyKwVW3lpXinvlNXEqA3OuTqfA9XtMY4xfZINfOuFTheYcLv8c98aLQfaePn4ygYH967ZHXWdJ24dodj4EqnNkpZgJCfJjCTBqRYXCQZBXqqJW5/r1LrODjXsFGXbKatqjdUTSTBSmGkDYERedP74dLofmXaTYsoo027iyvzUc9LkCaMnNEdUnDl68l2YJEnSCEmSxoT+/jGwQZKkQmBD6O9uxbm2tnct5IQZApk2o6IGRW6yWa7i202GmCaYZe+Vk2zW897Bej4or+dATTsfHKrn4XcOkG4zotGIqFTK7RMHyKyOrrxvpdvdktykmNtrt1eKYXA8sLaMPknWmPM9/LVhcfVCwgE4DJc3ELVvvPTHmo+PyY8tpmBgP9EY27a+ZFoRHl9A0XPSqI1OEWQnmlg0eSBun5+7rh1Iv1Rz3HFHpiVM+iAHO17K4YpMG4snD+TXNw/D5fNz8+82c9uLHyGAW5dv4cPDjVFpGoNOMCTLTgAoyU3CoOtkqzwwtYjMxOjXLBKn0/04XX/BuWjynM21VfQsLqXi5I3AF0OPXwb+DfyoOwdwrq3t8Qo5bp9PkTES2ZXm8QUUj/X6AiyePEimtIUDZm6imSN17SRZtCydVsz9a/cSCASiVsRh3vewnEQeumkYP3+78xwP3ljMq5uPyoyMgRkWfH4RdyXa6PDIDSQ6jYROE6T+3TY2R6G7sZi3dxyLOkcwt9rZCdnQ7qRPkjFk5eUm02bCZtJiNmiZUdoPf8DPjspmAI42utBI/ig7sE3lNVgMcdgtbW5+/v+G8NDf9pFsMcRwzpdOKybVqtyV6XC5eX72GKpaXFgMWnQaeHP7ce7+0qAo67RwTSHYFl/E8UaHfO43tx8H4OUPK/n2xAIWTizAYtBiM+m5O+Iu7sEbizHoBFqhQa8T5CRa4n62TofzUbtU0bvRU4FbAt4VQkjAc5IkLQcyJUmqApAkqUoIkdHdgzrX1vbsRGVNC5vJwLj89NPebmYlKl/TYtTx04iGD5c3wFMbDqIVgh+9Fcyf331tPqvmlUKIDtg1nbFqXikPv/NpFOUt0aJnc0UjGw/WM298XwRw/9oyXo6jD5JtN3HjiBweXPcpT80YIee1W9zg9LTLQTXDZmLP8XquLMhg7e4aOUg9cvMwGjsCUc4vI/uZOdXoBwRGnYZWlw+Hx09Nm5tVITNegP4pJvySYE6EP+aSaUVx0y3pCUZ+9bd9LJxYQGn/lKiGmfCq/JX5pbyx7VgUlXDdruNcX5zDz1ZviwrQhVl2XvrwaCjNkUhZVUsUxe7+tUEbswUTCnj23+XcOCKHjQfrqWpx8fv3j3DLmFyK+yTGjOMXIV/PfdVtrNt9ksIM2zlr3lwIL1QVvQ89FbivliTpVCg4/1MIsf9MDxRCLAQWAuTl5V3QQYVvPbvmuPunWqOKltmJJvwBgqtAu4khmba4K+vw7WY8ClX/VCv/e8sIWWKzX6qZB28cxqkWJ0tvHEqW3SzbfVW3OOWgDeAP1ZU7PD6WTCuSW93Dq7oOrzeKUpidaCLZouPP372SNlewEJdpN3LP5AJcHh+/nFoUIwTl8vnItptpcniitKeFCJoD815F1Hz+effVUZZiqVYtn1Y5eOjvh4DOcdw8KpfBWTbqOzwsjXCjibTkyk1JkE2NoTN988LsUYr2WKeaO+S89v/dNkpxVV7f7mFbZQvbKjvzwndOGhgjvfrUhnL+75ujmDO+H0P72Gl1+hTz3buOt/DpyWaW3lhMq9PL6wvHsX7PSVZvO4lJp6UlQqQr8rgDNW3y+9L1ju5iab+r+PygRwK3JEmnQv/XCiH+DJQCNUKI7NBqOxuojXPscmA5BFklF3Jc8W49AbloqXQL/sStI5g2rI+8su6fZqbNFWD9p9X0TTJjMeqCaQGFL2EgIBGQAlG31Qtf2cb4/BRuGJbNwgjB/6XTihifn8LGg/UsmpTPwEw7mw7XU5KbSL8UM0/eOoJWlzeolqcVJEQISoWVAAn42HOiPSZVYDVq8QUCUS3bvkAAgaBvil52IH/jjnEcrGqiut3P3dfmM25gpvwDlmiGT461xXC0xw+0x4wjshj7q68Nw6rXkmjRoRGCvikWUq0G6uJokgQkEdXQE7bHCq/Ug3c7yup3Stu1GuUibl2bm99uKGfx5EICcbjqyWY9NwyLNmZYOq2Ip2ak8vDfD/D49BLF4yL54qnWzhz3pejSpOLSQ7dXG4QQViGELfwYuA7YC6wF5oR2mwP8pbvHBsptwJFFy5tH5ca0fd/zxk5OtDgp6ZvMpEEZ7DrRxrde/Ihf/W0fHx5pYOozm+IaMJRVtcgt6G0uv0wbmzshP0Ys6v61ZcyfEOwO/MIVWZxsdrH8/SMseHk7c1/aRkV9B7/9Vzl3rf6Exa/vRKCRi2RhJcDhfdMU28gDkuChv+2Latl+6G/76JNk4FSzl9krgzzz2Su2YtAbmDQoiezkBOas3Mr3Vu9k9oqttDhQ5GhXNfvlgqSSIuHP/ryHPadamffSNnYca+Z4o4N5L31Mklm5OJhg1HHLmKA2yo/e3MN9a3YxeUiWzMF+YGoRWiEptqj7A/4Y7nNksTbyOm1ur7z61ggRU6RdPLmQAZlWxfcpyWLizi8WUpxljykgRvLFF08upMPdaaTbU9rvKnoXemLFnQn8WQQ5VTrgD5IkrRdCfAy8IYRYABwDbumBsSkismgZj2IXvt2NNC6NF+QjW48jC5uR527qUL7FbnZ6Mek1tHt8VNS1smLuWOrb3KTbjPx5xzFuHpXLsxuDDTZVLU6ECOqR5IXsvuIp68UrTja0++Ma+t6/dkfU9rg2Xq0uthyuZ8XcsTS0K18nUpEwTB+sanHGpICWTCtCqxWs31PFc7NG0+zwkp1oosPt4/tfKsRq0IGQ8Pgl8lIsUXcQGXYjP36rjPQEA49PLwEBdpMOnz/AL6YMjeJaB6VXJXl8HZ6gPvmCCQUMybLR1OFhQKaVhnZPnM+Dm3/tO8WY/snyXVzZqVYqQwH466Nz5Tb7vBSLTAO82NrvKj4f6PbALUnSEaBEYXsDMLm7x3Mm6Fq0PF0Bs/osgjzEFjbDj1OsesXrpCUYWDChgASjYEz/NOa/1Km7vXRaESaD4KFpVzAoK5maNjeTB6fR5PCjFZ3t4krnzbQb6ZdqlhuBBmcm0CfRzMk4jBmlIB2vuJtpM9Hu8eL1B2T7s677jOqbxNMzR/L8+4dxhBxmjjW5KDvRLAfoJIuelzZVkGDUyQXW4GsYbLQpyk5k98kW1u0+ydIbi3nob/u4eVQugzISOFjbzuP/OEhVi4uqFhd3rf6E/7ttJAadlvp2D8+8dyiubkk4tREu+r624Ep+GJIMeH3hOOVCqc3Iu5/WM3+CSy4eNnV4uDdCe6Tzte8sfl9M7XcVnx+oxMwzQCRf9s3tJ2JuwSO1ubO7tLwr3YJHfgmLsu2yFnPkuVduqlDkMB9v7ODFTUfwx1HOy7JZMOgNzF65lfLqZj451srsFVsBweLJhTI1ryuPuqnDwbe/MFD2ovzhmt18dLQxLu9ZqbXf6XHFaFIvnVaEzSTxpZBB74/f2qOYwvjZ23tlJUMCARZdW4hWwOaKRuas+JjFf9zJnBUfs7miEbtJFzWHsHdj2clGuUX9ZJNDDrQajVDk0/sC8I3lW6hs6KDJ4eHZkILfsxsP0eTwyG4wkamNB6YWkWrVy5+H9XtOKr6e/9hzMua9PhNvxIup/a7i8wO15f0MEa7017a5yLIHWSV17bHcWY/Hz9u7T3H/X/bGLWTeUJSF2+1jT3WrzOxItWo5VOskJ9mMSaelrt0dTIm4/DQ5PGTZTXgCPrQaLX6/nyaHP07r+Eh5Vff6wnEyle7pmSN4+J39LJs5gg8P1shFxQybiS2Hgn/PUXCPeXneKCob3PKPxN3X5jN+YNDMINNuZHN5DU++VyEHrGsK7Rxv9Ms2XilWLfUd/ih2SHiFXNwnkb2nWmJayp+4pYRH/rGfX04tor7dI0vZhgNdqlVPWoIet5fgOGxGOrwetle2ohGQbTey7L3DNDk8LJ5cyN/3VPGVYdkxbi8aDfz2X+U8On04gYDEj9/q5Lv/+mvDsBh1JJn1uH0+qlrcckv53V8exBcGZcifh9wUE6ea3NS0djrEr952UrGo6PH42X2qRWaMDO+TGOONGPlZU7nZlz0U33g1cF8ERH45c5LM+CWJU80uMu1GirNsCAR/3Vsd07I9tTgLs1kvnycQkDjZ0sHmQ00x+/ZPsyhqbrw8rxQhYNPBGgqzEmX9jzfuGMfsFVt59OvDWfTHnTFjjtQKicRTM0YwKMtCmzOAUQ8Hqh0xY7kiy4zLK9hyqIYJg7J470AdWg0UZth4+J19/PSrQ+L+yMTTLQHB8+8f5t4bBqHX6qgLMVc8fi9tTglvQOKF9w9z27h+rN9TxdwJ+TR1eEm1GjjV1IHdYpQLeilWAy0ODx6/hMsXQJJg3e6T/PC6weyvbiPRCFlJVg7Vdcj58IHpCQzJtjL1mc2Kr/GVBakx41YDroqLgEtHq+TzjrBxqdPpVQzQJX1tii3b/dMslOZ3BgSNRlDd7Fbc9693jVfsAHx9a6UsjxqZL910MLQtTsNPvNzqwdp2fvTWbh6YWsSAdKviWFbNK2XOyq08+vVh7K9pk4WtwmmG0+XVFalyCO5bs4uffmUwJ5rcLPlrp4vNkmlFstWYSa8hyWKQzRgirzm4TyJHGzp4akO5fOfzTKhoG15xP/xOUHv8jYXjFL0qV80vjfFlDM9HCWozjIruwmUXuB1OD3ur2+QURXGWDYvZcFGutae6NW6gi8fs6IrqOGyPunYfVoMk86uvyLLQ3OHHbNDyjSv7sbm8hpF5dp6aUYLXDx1uH1mJQRW9R78+TF5dagUMSLeSnqDlwRuLo9ISv/raMCx6LctnjebVLRUkGPvGKVS6WTWvlAAB7lvZtduznDV3jFdkh1iMwdTH/X+Jtt564f3DuLwB6js8LI8w4HV5gw04CyYUsLmikQdvLMZi0Ci68gzLTYwySoCgYUS/VAs6jYbfRBhGxGfDuGVfxvBKvDAzgbwUNd+somdxWQVuh9PDur01MSvgKcWZisH7fD334lHsatrccVegXZFpN3L71X35UlGOrBL4z7KTWA0Ca7KVMAW42eFn86HofLMvINHq8kcF46e+MYJmh1cOiCZ90OHlaKObQZkWVs0rpdHhwaDVsCSio/F0reaZdiOzV2zl9msKFOdb0eCIou+F2SFajZB1UyRJQgjBCxFGEwFJmZUzJMvGwokFPPHPg8wZ319xH6fHLxccI8f60ryxGLUaXpg1lgaHmwybifr2+O/HmH4pp/VlVKGiJ3BZsUr2VrcproD3VrfF7HshPPfiMzKMCuyLYoZl2WPOkWHTMigribmhRpc5K7cyKCuJlAQtB2ocUY0x2ckJLJqULzNM2pyBGI/KZLOBh/++P2rbw3/fT26SkQPVHcxeuRWzQct3/7BDtuIKr3RTLMqMlD5J2qBfo1Bm0YAyOyTd1ulkU17bzn1rdslBG4h7vgx7UEq1yeFhSB+b4j6JZr2yyYBZx8h+KRRm2eQmq+Ism+L7UZxluyAqeypUXGhcVsXJv+46FbdINrWkT9S2XcebmLF8S8wq7PWF487Ycy9ejntqcRaAzCrJSTKRYNTR0OEhL9XEyRBDYUSehapmv7Lw/7xSxbzsy/NKybBpqWvzy8yP9AQtk/73vwD86qYifvZ2WcxYI/O8v50xgu+/vjNmn2dmjuRwTbPMSOmTaKa6xYlOq0ECWjrcCI0mKu++6NpC1u+t4obi7BjNcaNOg9sXNvE1MO/q/jzxz04lvl/fPAyXNyB7NoZZJRk2A16fhE4n8HgDHK7riDn3gIwEnn2vPMZk4M5JA7m+ODtmbt2ZQlOh4iygFidPd6vfFRfCc89s1jO1OIv+aRY5IAzLssvMkdL81Ahtio9YOKEfxxsTuH9tGb+7bTibD7ViNmjPuAHG5Q3QJ1nL5kOxzjkbf3C1HLyVXoPIjsq4zT82I3etDgpLKWuOFJNg0LJwYgE5SWaONTpl04C6dg8LJhSQlxLc/vq2Y0wZnsNbO06wcGIBJbmJNDu9UfnkVoeXN3cEuxW1GrhqQCqP/2M/2ypb5Hx4aoKB17cdi2qeeX3bMR6bXqJoMhDPestiNkQVhlWouJRxWaVKTndL3BUXynPPbNZTmp/K1JI+lOanRtH9IKhNcaqxlVXzSinMSqJ/mpV7JhdgNZi4f22ZbHrbdRzxvC2rmpRb1Ova/LxxxzjGFSQpNsBEpnXiNf8kGLXyNmXNkb2UVbWxbMMhjjc5o5pews0w6QlGhmTbuPOLA3hrxwmaHB7Mei12k56f/XlvlFbKr9fv55pBGby46Qh9ky386M3dbKtska+3ZF0Zep3g2xM7G4fC3ptXZFnlxqbwHLpqoatQ0VtxWa24LWYDU4ozo1bA8W6Jwx2NpzNBOFu4XD72VLVEubkHJB92i1lOU4RXyBZjMDiFO/O6rqCbOhyKRgZxtUjaXNy7ZjdLpxWjxR/T3n3VgCT5fBsP1qPXwUvzxlLf5iE1wYDNqMMf8MvmDfHa+cP6WWEnnsgVebhDssnhYcm0Ir7zxQLq2z3kJJk4WNOmeL7+qUG9EbtJJ+fcI5+vbXXz5o5jvDhnDE0OLxk2I0OyrFiNRtJtQU2SDo8Pq0GHzaw96xy10+mNapSKvGNSoaKncFkFbjjzW+IL7bnncvlYu6dKsZFGUcQpZGyw/tM6Jg5KDxkWdHbmrdx8nEWT8mU6YKbNyO7j9fRPS1NOB9lMUXTErr6Qbp+gqinaGGHLoRpuKOnDrgip1rB5g8vnV7xOOC6GnXgWTiyQOyQjTQgeWFvGirljuSJTsH7PSazmOF6UVgNmvTauTGtuspm5VxXgCwT4anG2HJiP1LVzxys7YvZ/J0Lg67NwuhqFGrxV9CQuq1TJ2eJCeu7tqWpRZLTEpQy2uvnXD8bz1IwRtHuC6nlj+1mobOhg9baTQJB1IUPApCEZ5CQrMz+MOn/nudtcMWmQRLOWjMROmdY5K7eSlZxAi8MfNe4n36tg9sqtWA26GJnTX39tGAPTrfK2sIZIpl3Psg2HorRCXN4ADe1ujtQH56OkAbPo2uAK/a7Vn/DEPw/EpG8emFLEI3/fz12rP+GOV3ZESZ+eTmXvjN+zODz8PdWtn3GkChUXF5fdiru7EeaCd22kWTQpn6sLM6kNmRNsOljDso1BN5lwwbSm2Uvkb+vJZi9j+9tZMXcsVoPgQLUjJsUyKs/O2P72qJW4Uefnxv/7uPPcNlMMp9pi0LJ6ayWPTy+RUyh6bXwu+qkWp7yiHpptJ8VqID1BS6vLH3Vtj9+Dw6NsQpBiNfD8+/tlQ4Qki4EfXjeITLuZ/dVtUW7o2ypbuOfLJv74P+M40ewkIBHF+Q4H5fBq+kKo7J3uR1WFip6EGrgvIsJc8J+/vZeVc8fKgWTRpHxyUxKivBSXTiti0aR8lm+qDHKjk7V8WN4Rk9u2m/V88/mPeGPhOEXTglXzS9l2tIll75WzcEI/nJ4gSwU6i7HhRp0wTHoN3/7iQA7WtuPw+DjR2M6yjRVy23e8ANjk8JBtN/PCB4e5+8tX8I+yJn4b0cUY3vdPd4yXc+Nyh+TUIg7XtSsyP16ZX6oof5qVaKEgPQG7Wc9Xl31w2qB8Ohu6M8XZsJBUqOhOXFY87u7GruNN/HtfVZS9V7JFS1OHX1kbY14pAKkJWhra4+8ze+VWHps+nB1HG7h+WGdH5fo9JxnVP5XH3z3AA1OK8PiDwlBWvUH2gMxL1lLZ6AG0ci4b/Jj0Wlxe+G9558ofYOMPrubjo13tyIoZlGnmWJNHXvU++82RZNtNfHS0MUbbY2z/ZIoy7eypbqW2zU2yRU9FXTvtHj82kz7KwGDpjcVMK87mvfK6uPZdZ2rvdb6iT2qOW8UlAFUd8GJCqYHjcEMb+6piV81mg1ZRie/pmSOoaW5neN80uXlmZ2U9D68/FLHPSDJtRhItWnYdj+Vrl/S1U17jQK8V+AISd/4huJqdN74vNwzLIsliYNfx2EBc0tfGjc/GKuEFXeS9IOnl9IfT62LOyp1R+z01YwQBCZau+5SbR+XK6Za3dpzg4a8VM2lwJgCbD9dzzxu75H2sBi3+gET/VCtZiZ0yp58VdLtLiU9llajoYagNOBcL8TRQPosxosT8cHr8MXnrn94wkIfXHwrtY2T2yq0h6zDlc9+1+pOYNMf1w3KYs3IrL80rVRa+ml+qSDu0GAJMeWa73DV6stlJi7OTURJeJT8fSpco6YNEijJl2k2K+3Rle3yW0l53KfGFefgqVFxKUFklFwDxNFDiFbeMOkmB+VGMUQ/906wsnNAv4jxljMhLi8pPn65zsqbVJT/u8Hh5MOS4Uhfav+40xw3NNrNqXilPzxzJqnmlDM02M+WZrfI+bW4vWo0gO9HIi3PG8PTMkaycO5aSXBuPTh/Blf1TFd1b8tM6A7fq8KJCxflDXXFfAMQL0PGKWy6v4ERjexT7YvOhGu57c3dUoXLZxgo5SL88rxSTXuK+N3cDyB2VXc+dHirQmfQarHo9/62q5aV5pWhEZwEv3nFTntkir9SV9FEMWi2lhamySUR2YqyDS9gYt2sKo9np4mB1h5xy+PcPruJoo1dV3FOh4hygrrgvAOKpACZbtIoejP8tr2H5pkqONnQEJVFXbpVZHuFV9tWFmfIxmTYTM5Zvwe0T8rk+y+tw6bQiNpXXkJJgYe7KreysrGfptCL+WXb64x66qZihWda40gBhk4j/N7wPY/qnxNhuKanpNTtdvLu3jtkrOpUM3y9vZXB2gqq4p0LFOUAtTp4hIouPgzIttDj98urxiiwr/9hbp6jzDXQWLW1Gkq1a9ld3kG4z8Y8QC6S8uiXE6Q4yP8K2Y8EW9SKaO5w8seEIry0Yw+E6p5yHvv3qvlxXlCMXMhPNWg7WOMi0GXm37CQv/Pc4/VLNPDCliA6Pj/w0Mw63hFYr4Q+IGL/LyO7QC6mWt7WiQVnhcH6pmj9WoeL0UIuT54rI4uPMMTk4PUkxGiHXF6fTP600So51w8F6Mu1GBmUF87eRwevpbxTzlWE5JFu1OD3+GE734Cwrq+aVkpqg5dMqLavmlaLTSozMs7Nqfik1rcFUxOZDNVw5MJNbnwu2sD89cyRrtldy06g8SvLSSEsw8KePj/HWziqgM2CmJRjxByTSEoz0T7UyICMpas4XUi2vOxtZwmyTsBmvmoZR8XmEGrjPAJHFx+uH5UQ5locLkf3TgqvHcFqg6+r7uuJ0uQnlsa8PxekVn8kOqWjoYPbKaLuv9Xuq2FzRyMshn8dwmgMiXFv6pzP/pY+DDTgpCbxTViM/Hy6ChhtY4nGgLyS6q5HlTPndKlT0dqiB+wwQuWKMz8oIrh4PVnfEMQIulZUJkZApf6fzO8ywG3hpXnB1HW5N33iwHoDakM/ju2VBwalwUB6WZac4yyYrIA7OsoRW6MGUR06ykcn/+0HU+O55YyeDz0J86WwxKJQzj2niybqwTJKjDR1y0IbumZsKFT0BNXCfASJXjPFYGeHV4+nSAqX5qZTmp/LXXafkfeJrahgpr25iUHYyP3pzt+L1hmXZQUBJXpqiSYMSNh+ujyu+dLGCW5LZxHURqaRw+ijJfHba5p+F0wlLqYFbxecJKqvkDBBpwKDM5uj0i+zKMBmeY+eZmSMRAnYdb8bnC0Tts+lgjeL5THqJQdnJZCUqMVOCDI/PMmlQQjwDhrMRXzoXJJlNUWO90EEbem5uZ4NAQOJIXTubD9dzpK6dQKD3kgNU9BxUVskZ4nSsksiVbmSOe1BGAjOv7BflmfjQTcV8aWh6VB787mvzGT8wM4rTHenWnmgWJFssst7I+TA8Ps954Et9bpf6+FRcklC1SroL4WYTX0Bi/ksfx6Q5Xl84jvw0M/sjGlKyErVUNysLS700r5RvLO9sjjlftkd36Xz0BC7luR2pa1dUNTwbcwcVlx1UOmB3IZgWMLF+b5VizjVoOJxMaX70Lfyu46cU969r62xjvxAUuu7S+egJXMpzU3PwKi4Uuj3HLYToK4TYKITYJ4QoE0IsDm3/pRDipBBiZ+jfV7t7bOcDh9PD1ooG/rrrFFsrGnA4PWdtOByvAzOyjV3Vgu696A05eBW9Az1RnPQBP5AkaQgwDrhTCDE09NyTkiSNCP17pwfGdk4IN+hEtnSv21vDgDTTWTmND8uyK7bId7axKzvSq+gdUAW2VFwo9HiOWwjxF+AZ4GqgXZKkx8/02Eslx326lu5RfZOD1mVnaDjcVf9ZbmM/z7ZzFZcGLuUcvIpLEpdejlsI0R8YCXxEMHDfJYSYDWwjuCpvUjhmIbAQIC8vr/sGexqcjrsdNhwu6Xtm51LSf74iK+kCjVRFT+NSzsGr6D3oMR63ECIBeBP4viRJrcDvgAHACKAK+F+l4yRJWi5J0hhJksakp6d313BPi3i5aTUfrUKFiouBHgncQgg9waD9miRJbwFIklQjSZJfkqQA8DxQ2hNjOxdENugAaj5ahQoVFxXdnioRQgjgRWCfJElPRGzPliSpKvTn14C93T22c4XFbJB1SC6EDKoKFSpUnA49keO+GpgF7BFC7Axt+ykwUwgxApCAo8AdPTC2c8aFlEFVoUKFitOh2wO3JEmbUK6U9hr6nwoVKlT0JFSRKRUqVKjoZVADtwoVKlT0MqiBW4UKFSp6GdTArUKFChW9DGrgVqFChYpeBjVwq1ChQkUvgxq4VahQoaKXQQ3cKlSoUNHLoAZuFSpUqOhl6HE97vOBEKIOqOzpcVxApAH1PT2Iiwx1jp8fXA7z7Ok51kuSdEPXjb06cH/eIITYJknSmJ4ex8WEOsfPDy6HeV6qc1RTJSpUqFDRy6AGbhUqVKjoZVAD96WF5T09gG6AOsfPDy6HeV6Sc1Rz3CpUqFDRy6CuuFWoUKGil0EN3CpUqFDRy6AG7m6CEGKFEKJWCBHjpSmE+KEQQhJCpEVs+4kQ4pAQ4oAQ4vruHe25I948hRDfC82lTAjxaMT2XjdPpTkKIUYIIbYIIXYKIbYJIUojnuuNc+wrhNgohNgXes8Wh7anCCH+KYQoD/2fHHFMr5rnaeb4mBBivxBitxDiz0KIpIhjLo05SpKk/uuGf8BEYBSwt8v2vsA/CDYSpYW2DQV2AUYgHzgMaHt6Duc6T2AS8C/AGPo7ozfPM84c3wW+Enr8VeDfvXyO2cCo0GMbcDA0l0eBH4e2/xh4pLfO8zRzvA7QhbY/cinOUV1xdxMkSXofaFR46kngPoImyWHcCPxRkiS3JEkVwCGgVOHYSw5x5vkd4DeSJLlD+9SGtvfKecaZowTYQ48TgVOhx711jlWSJO0IPW4D9gE5BOfzcmi3l4GbQo973TzjzVGSpHclSfKFdtsC5IYeXzJzVAN3D0IIMQ04KUnSri5P5QDHI/4+EdrWWzEIuEYI8ZEQ4j9CiLGh7Z+neX4feEwIcRx4HPhJaHuvn6MQoj8wEvgIyJQkqQqCgQ/ICO3Wq+fZZY6RmA/8PfT4kpmjGrh7CEIIC/Az4H6lpxW29Wbepg5IBsYB9wJvCCEEn695fge4W5KkvsDdwIuh7b16jkKIBOBN4PuSJLWebleFbb1invHmKIT4GeADXgtvUji8R+aoBu6ewwCCebJdQoijBG/Hdgghsgj+kveN2DeXzlvv3ogTwFtSEFuBAEHxns/TPOcAb4Ue/4nOW+heO0chhJ5gQHtNkqTw3GqEENmh57OBcNqrV84zzhwRQswBpgC3SaEEN5fQHNXA3UOQJGmPJEkZkiT1lySpP8EPxShJkqqBtcA3hBBGIUQ+UAhs7cHhni/eBq4FEEIMAgwEFdc+T/M8BXwh9PhaoDz0uFfOMXRH9CKwT5KkJyKeWkvwR4rQ/3+J2N6r5hlvjkKIG4AfAdMkSXJEHHLpzLGnK7uXyz9gNVAFeAkG6QVdnj9KiFUS+vtnBKvWBwixFXrDP6V5EgzUrwJ7gR3Atb15nnHmOAHYTpB18BEwupfPcQLBNMBuYGfo31eBVGADwR+mDUBKb53naeZ4iGAuO7zt95faHNWWdxUqVKjoZVBTJSpUqFDRy6AGbhUqVKjoZVADtwoVKlT0MqiBW4UKFSp6GdTArUKFChW9DGrgVnFZQQjR3uXvuUKIZz7jmGlCiB9/xj5fFEKsi/Pc90OdsipUXBCogVuFis+AJElrJUn6zXmc4vuAGrhVXDCogVuFihCEEOlCiDeFEB+H/l0d2i6vyoUQA0K62x8LIZZ2WcEnCCHWhLScXxNBLAL6ABuFEBt7YFoqPofQ9fQAVKjoZpiFEDsj/k4h2MoM8BTwpCRJm4QQeQR10od0Of4p4ClJklYLIb7d5bmRQBHB9vf/AldLkrRMCHEPMEmSpPoLPBcVlynUwK3icoNTkqQR4T+EEHOBMaE/vwQMDUpYAGAXQti6HD+eTg3qPxCUcA1jqyRJJ0Ln3Qn0BzZdsJGrUBGCGrhVqOiEBhgvSZIzcmNEIP8suCMe+1G/XyouEtQctwoVnXgXuCv8hxBihMI+W4Cvhx5/4wzP20bQGkuFigsCNXCrUNGJRcCYkEnsp0DXHDYEGSL3CCG2EvQsbDmD8y4H/q4WJ1VcKKjqgCpUnAVCfGynJEmSEOIbwExJkm7s6XGpuLyg5uBUqDg7jAaeCYnwNxP0JFSholuhrrhVqFChopdBzXGrUKFCRS+DGrhVqFChopdBDdwqVKhQ0cugBm4VKlSo6GVQA7cKFSpU9DL8f+dm6o6Zr4a9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(data=olympics, x='Height', y='Weight', kind='scatter')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 24. Plot the scatterplot of `Height` and `Weight`, using different colors and styles of dots for different `Sex`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x19f9c9d9c88>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 404.625x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(data=olympics, x='Height', y='Weight', hue='Sex', style='Sex')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 25. Plot the pairwise relationships of `Age`, `Height`, `Weight`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x19f9c9d9948>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 540x540 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(olympics[['Age', 'Height', 'Weight']])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 26. Plot the pairwise relationships of `Age`, `Height`, `Weight`, with different colors for `Sex`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x19fa737ec08>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 584.625x540 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(olympics[['Age', 'Height', 'Weight', 'Sex']], hue='Sex')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 27. Print out the correlation matrix of `Age`, `Height`, `Weight`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.161797</td>\n",
       "      <td>0.264409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Height</th>\n",
       "      <td>0.161797</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.799258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weight</th>\n",
       "      <td>0.264409</td>\n",
       "      <td>0.799258</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Age    Height    Weight\n",
       "Age     1.000000  0.161797  0.264409\n",
       "Height  0.161797  1.000000  0.799258\n",
       "Weight  0.264409  0.799258  1.000000"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "olympics[['Age', 'Height', 'Weight']].corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice the strong positive relationship between `Height` and `Weight`, which is intuitive."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 28. Use heatmap to demonstrate the correlation matrix of `Age`, `Height`, `Weight`, use a colormap (`cmap`) of 'crest'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(olympics[['Age', 'Height', 'Weight']].corr(), cmap='crest')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 29. Plot the histograms of `Age`, with different colors for different `Sex`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x19f998d7d48>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 764.625x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data=olympics, x='Age', hue='Sex', aspect=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 30. Plot the histograms of `Age`, on separate plots for different `Sex`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x19faab88908>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data=olympics, x='Age', col='Sex', aspect=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 31. Look at the changes of average `Age` across `Year` by line charts, with separate lines for different `Season` using different colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x19fafa58208>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 798.125x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(data=olympics, x='Year', y='Age', hue='Season', kind='line', aspect=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 32. Look at the distributions of `Age` for different `Sex` using boxplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x19fafa32888>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(data=olympics, x='Sex', y='Age', kind='box')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 33. Look at the distributions of `Age` for different `Sex` using violin plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x19fb0515908>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(data=olympics, x='Sex', y='Age', kind='violin')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 34. Look at the distributions of `Age` for different `Sex` using boxplots, with different colors of plots for different `Season`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x19fb937ab88>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 438.125x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(data=olympics, x='Sex', y='Age', kind='box', hue='Season')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 35. Use count plots to look at the changes of number of athlete-events across `Year`, for different `Sex` by colors, and different `Season` on separate plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x19fb0cd7e48>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1484.62x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.catplot(data=olympics, x='Year', hue='Sex', kind='count', col='Season', col_wrap=1, aspect=4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice the obvious increase of female athlete-events in the Olympics across years."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}