fifa19-eda.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "84421e7f",
   "metadata": {},
   "source": [
    "# 1. Import Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9ea4099e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0ec521d",
   "metadata": {},
   "source": [
    "# 2. Read Datasheet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6a214127",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(18207, 18)\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv(\"fifa_eda.csv\")\n",
    "print(df.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e421b95",
   "metadata": {},
   "source": [
    "so the dataset has 18 attributes and 18207 rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e1a39ac1",
   "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>Age</th>\n",
       "      <th>Nationality</th>\n",
       "      <th>Overall</th>\n",
       "      <th>Potential</th>\n",
       "      <th>Club</th>\n",
       "      <th>Value</th>\n",
       "      <th>Wage</th>\n",
       "      <th>Preferred Foot</th>\n",
       "      <th>International Reputation</th>\n",
       "      <th>Skill Moves</th>\n",
       "      <th>Position</th>\n",
       "      <th>Joined</th>\n",
       "      <th>Contract Valid Until</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Release Clause</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>158023</td>\n",
       "      <td>L. Messi</td>\n",
       "      <td>31</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>FC Barcelona</td>\n",
       "      <td>110500.0</td>\n",
       "      <td>565.0</td>\n",
       "      <td>Left</td>\n",
       "      <td>5.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>RF</td>\n",
       "      <td>2004</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>5.583333</td>\n",
       "      <td>159.0</td>\n",
       "      <td>226500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20801</td>\n",
       "      <td>Cristiano Ronaldo</td>\n",
       "      <td>33</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>Juventus</td>\n",
       "      <td>77000.0</td>\n",
       "      <td>405.0</td>\n",
       "      <td>Right</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>ST</td>\n",
       "      <td>2018</td>\n",
       "      <td>2022-01-01</td>\n",
       "      <td>6.166667</td>\n",
       "      <td>183.0</td>\n",
       "      <td>127100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>190871</td>\n",
       "      <td>Neymar Jr</td>\n",
       "      <td>26</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>92</td>\n",
       "      <td>93</td>\n",
       "      <td>Paris Saint-Germain</td>\n",
       "      <td>118500.0</td>\n",
       "      <td>290.0</td>\n",
       "      <td>Right</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>LW</td>\n",
       "      <td>2017</td>\n",
       "      <td>2022-01-01</td>\n",
       "      <td>5.750000</td>\n",
       "      <td>150.0</td>\n",
       "      <td>228100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>193080</td>\n",
       "      <td>De Gea</td>\n",
       "      <td>27</td>\n",
       "      <td>Spain</td>\n",
       "      <td>91</td>\n",
       "      <td>93</td>\n",
       "      <td>Manchester United</td>\n",
       "      <td>72000.0</td>\n",
       "      <td>260.0</td>\n",
       "      <td>Right</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>GK</td>\n",
       "      <td>2011</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>6.333333</td>\n",
       "      <td>168.0</td>\n",
       "      <td>138600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>192985</td>\n",
       "      <td>K. De Bruyne</td>\n",
       "      <td>27</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>91</td>\n",
       "      <td>92</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>102000.0</td>\n",
       "      <td>355.0</td>\n",
       "      <td>Right</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>RCM</td>\n",
       "      <td>2015</td>\n",
       "      <td>2023-01-01</td>\n",
       "      <td>5.916667</td>\n",
       "      <td>154.0</td>\n",
       "      <td>196400.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       ID               Name  Age Nationality  Overall  Potential  \\\n",
       "0  158023           L. Messi   31   Argentina       94         94   \n",
       "1   20801  Cristiano Ronaldo   33    Portugal       94         94   \n",
       "2  190871          Neymar Jr   26      Brazil       92         93   \n",
       "3  193080             De Gea   27       Spain       91         93   \n",
       "4  192985       K. De Bruyne   27     Belgium       91         92   \n",
       "\n",
       "                  Club     Value   Wage Preferred Foot  \\\n",
       "0         FC Barcelona  110500.0  565.0           Left   \n",
       "1             Juventus   77000.0  405.0          Right   \n",
       "2  Paris Saint-Germain  118500.0  290.0          Right   \n",
       "3    Manchester United   72000.0  260.0          Right   \n",
       "4      Manchester City  102000.0  355.0          Right   \n",
       "\n",
       "   International Reputation  Skill Moves Position  Joined  \\\n",
       "0                       5.0          4.0       RF    2004   \n",
       "1                       5.0          5.0       ST    2018   \n",
       "2                       5.0          5.0       LW    2017   \n",
       "3                       4.0          1.0       GK    2011   \n",
       "4                       4.0          4.0      RCM    2015   \n",
       "\n",
       "  Contract Valid Until    Height  Weight  Release Clause  \n",
       "0           2021-01-01  5.583333   159.0        226500.0  \n",
       "1           2022-01-01  6.166667   183.0        127100.0  \n",
       "2           2022-01-01  5.750000   150.0        228100.0  \n",
       "3           2020-01-01  6.333333   168.0        138600.0  \n",
       "4           2023-01-01  5.916667   154.0        196400.0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68781822",
   "metadata": {},
   "source": [
    "# 3. Time for cleaning the dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3f204667",
   "metadata": {},
   "source": [
    "Dataset cleaning is an important set of any EDA as it will help in understanding the patterns well. we will start by seeing whether the dataset has any null values or not."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "939a1127",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID                            0\n",
       "Name                          0\n",
       "Age                           0\n",
       "Nationality                   0\n",
       "Overall                       0\n",
       "Potential                     0\n",
       "Club                        241\n",
       "Value                       252\n",
       "Wage                          0\n",
       "Preferred Foot                0\n",
       "International Reputation     48\n",
       "Skill Moves                  48\n",
       "Position                      0\n",
       "Joined                        0\n",
       "Contract Valid Until        289\n",
       "Height                        0\n",
       "Weight                        0\n",
       "Release Clause                0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28578ff5",
   "metadata": {},
   "source": [
    "So we see that the attributes such as 'Club':241, 'Contract Valid Unitl':289, 'International Reputation':48, 'Skill Moves':48, 'Value':252, contains null values. we will remove the tuples which contain such null values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "aae407bc",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.dropna(subset=['Club','Contract Valid Until',\n",
    "                       'International Reputation','Skill Moves','Value'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5b897a0",
   "metadata": {},
   "source": [
    "Lets check that whether we were able to succesfull remove all the tuples which containes null values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4175e8f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID                          0\n",
       "Name                        0\n",
       "Age                         0\n",
       "Nationality                 0\n",
       "Overall                     0\n",
       "Potential                   0\n",
       "Club                        0\n",
       "Value                       0\n",
       "Wage                        0\n",
       "Preferred Foot              0\n",
       "International Reputation    0\n",
       "Skill Moves                 0\n",
       "Position                    0\n",
       "Joined                      0\n",
       "Contract Valid Until        0\n",
       "Height                      0\n",
       "Weight                      0\n",
       "Release Clause              0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c18c7c8",
   "metadata": {},
   "source": [
    "So now we can rest assured that all the dataset has been completely cleaned off of null values.\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "S now since the dataset cleaning step is complete we can focus more on exploring the dataset itself."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "11654862",
   "metadata": {},
   "source": [
    "# 4. Checking the number of unique instance of an attribute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "90f71f28",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ID 17907\n",
      "Name 16913\n",
      "Age 28\n",
      "Nationality 163\n",
      "Overall 48\n",
      "Potential 47\n",
      "Club 651\n",
      "Value 216\n",
      "Wage 143\n",
      "Preferred Foot 2\n",
      "International Reputation 5\n",
      "Skill Moves 5\n",
      "Position 27\n",
      "Joined 22\n",
      "Contract Valid Until 35\n",
      "Height 21\n",
      "Weight 57\n",
      "Release Clause 1245\n"
     ]
    }
   ],
   "source": [
    "for f in df.columns:\n",
    "    print(f,df[f].nunique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "61ae8a48",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f132a1d",
   "metadata": {},
   "source": [
    "# 5. Age"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f994d68",
   "metadata": {},
   "source": [
    "Lets take a closer look at the age of the players. More accurately we will focusing on the distribution of the age data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "88c726de",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "25.0\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Age', ylabel='Count'>"
      ]
     },
     "execution_count": 15,
     "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": [
    "print(df['Age'].median())\n",
    "sns.histplot(x='Age',data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "355728be",
   "metadata": {},
   "source": [
    "The median age is 25 i.e most of the players have age closer to 25."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "fa583233",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25.0"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"Age\"].median()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed1f906f",
   "metadata": {},
   "source": [
    "# 6. Preferred Foot"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9123d82",
   "metadata": {},
   "source": [
    "Lets see whether majority of players prefer left foot or right foot."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c5138ca0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Preferred Foot', ylabel='count'>"
      ]
     },
     "execution_count": 17,
     "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": [
    "sns.countplot(x='Preferred Foot',data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a8e22dc",
   "metadata": {},
   "source": [
    "It seems most players like prefer to take the shot with rigth foot. but still unclear on how many players though"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1911f669",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize=(6,6))\n",
    "plt.pie(df[\"Preferred Foot\"].value_counts(),\n",
    "        labels=[\"Right\",\"Left\"],autopct=\"%1.1f%%\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "73f35754",
   "metadata": {},
   "source": [
    "well now we know 76.8% of the players prefer right foot\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e776f983",
   "metadata": {},
   "source": [
    "# 7. Position they play in"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "923428f5",
   "metadata": {},
   "source": [
    "Lets find out with position most players play in"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "6ab1bd25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize=(9,9))\n",
    "sns.countplot(x='Position',data=df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4c24f6f",
   "metadata": {},
   "source": [
    "It seems as though most players play in the ST position"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "337cd992",
   "metadata": {},
   "source": [
    "# 8. International Reputation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3227d8e6",
   "metadata": {},
   "source": [
    "International Reputation is a huge fator when it comes to a player and the team he is in. let us take a closer look as to how strong are their reputation on a scale of 1-5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "359765eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='International Reputation', ylabel='count'>"
      ]
     },
     "execution_count": 28,
     "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": [
    "sns.countplot(x=\"International Reputation\",data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0677bfb2",
   "metadata": {},
   "source": [
    "This gives us an early idea as to how many players have the highest international reputation."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b06570dd",
   "metadata": {},
   "source": [
    "# 6. Skill Moves"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d84abdda",
   "metadata": {},
   "source": [
    "Skill Moves of a player directly translates into their performance in a game."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "2d9bba7e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Skill Moves', ylabel='count'>"
      ]
     },
     "execution_count": 29,
     "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": [
    "sns.countplot(x=\"Skill Moves\",data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc5c27bb",
   "metadata": {},
   "source": [
    "Most of the players are of skill set point 2."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "093fc231",
   "metadata": {},
   "source": [
    "# 7. Nationality"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b458bd8",
   "metadata": {},
   "source": [
    "Lets find the top 10 countries with the most players in FIFA."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "8e077932",
   "metadata": {},
   "outputs": [
    {
     "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": [
    "national = df[\"Nationality\"].value_counts()[:10]\n",
    "national.plot.bar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "53f0fbbf",
   "metadata": {},
   "source": [
    "England is at the top for holding most fifa players."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c99ced33",
   "metadata": {},
   "source": [
    "# 8. Value,Wage,Release Clause"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a90e86c",
   "metadata": {},
   "source": [
    "From here on now, we will focus on the relation between these three attributes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b4039f96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x198e1ffce50>"
      ]
     },
     "execution_count": 31,
     "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.lmplot(x='Wage',y='Release Clause',data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "7ee8f669",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x198de14ca30>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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toTeZBmBKdZBI0KE3mUaBv1p5Smk7WsEsCBtjBpXOKPuOxkik09z6wLHy9FeePYs5jVV0xVLMrI/wucvPZOXi5tJ2toLZnLAxE0hLaxvrN25nV0eUOY1VrF2xYFQBUlU50BkjkUrztYe38euX3PL0H7hwPn/62rkATKsNUWcpKcfMgrAxFWiwYAtw84YtBHxCQyRAW1eMmzdsYR2MOBC3dblTEP/16Kv89Bm3PP27zpnF1ee75emnVActABeIBWFjKkxLa9ugwbY66CPgE6qC7j/rqqCfaCLF+o3bRxSEs6WJ/ufZvfzH73cCbnn6v1p5CiJCQ1WQhipLSVkoFoSNqTDrN24/Ltge6o7Ruj+Kz4GQ30dTrVu9IhLwsbsjmve5s6WJfrP1IP/ykFeefl4jn/DK09eGA0yxnMAFZTfmjKkwuzqiRHIqFHfFkhzqSgDgiJDKKHuPxOiKJelNppndWJXXebu80kRPvXqsPP3pM2v59OolBHwONSF/X404UzgWhI2pMHMaq/qWioE7fYBA0CcokP3P/qMxkmntmy8eTjSR4lB3gq0H3PL0ybRy8pQqvuCVp68KWgAuFgvCxlSYtSsWkEwr0UQKVSWWcgPyjPoIJ9VH8HvBWIF1q5eccD44W5poV3sPN967mWgiTVNNiFuvXEp9JEA44GN6XchSUhaJzQkbU2FWLm5mHe7c8O6OKNVBP1VBH3VeAc26SIBoIkVzbbgvAA+1dC1bmuhQV4wb7t18rDz9mqU017nbkGfUWU7gYrIgbEwFWrm4uV+AvXnDFqKJFJGAj95kut80xFCrKT6TURbNqOVo1C1Pv+9ojLDf4QvvXMrJU6stJeU4sekIYyrcysXNrFu9hObaMEd7kzTXhvtNQ+SuphBxH/0OfK1lG92xJJ/86fNs98rTf2b1Es44qc4LwJaScjzYSNiYCSB3ZDzQro4oDZFjGytUlYDPYU9HlM/97EU27zkKwA2rTuP8+VPwOcL0ujB+S0k5LuynbMwEN3A1RSqj9MRTJNPwuz+45en/auUpXHz6dBwRS0k5zmwkbEyZGeom2mjzQqxdsaBvzjjgCD2JNB29SXribmD+s9fOZc25sxEvAFtKyvElqlrqPpSF5cuX66ZNm0rdDTPJ5d5Ey73JtuacWdzz1J7j2vNZgpY977/9ehu7OqI4Iuw9GgPgrUtn8PG3nIrjuKsgIkELwCM05klz+53DmDIy2E20gE/41m93DNq+fuP2vM67fP4Ubl2zjL+4cH5fAH79wqn8zcWnIiI01YYsAJeIBWFjysjALckAkYCPnkR60PZ88kLEkm5posd2HObWB9zy9K+ZXc8/vO0MfI4wrTZETchmJkvFfvLGlJE5jVW0dcX6kvMA9CbTVAfdKYiB7SfKCxFPpdl/NMbze47wmQ0vkM4opzRVc8sVbnn6qdXH5wQuVE5ikx8bCRtTRgZuSY4mUiTTygcunD9o+3B5IbKlibYf6ubvf/I88VSGmfVhbr1yGTUhPw1VQeqrjg/AN2/YQltXrN/GjpbWtmJ/9EnLgrAxZWSojRfXXXzqsBsyBsqWJtpzJMr19zxHVyxFY1WA29YscxOyRwZPSTnUnHS+c89m5Gw6wpgyM9TGi+E2ZOTKliY61BXnhns3c6g7QVXQx5fetZRZDRFqwn6m1QyeEW3gxg7If+7ZjE7RRsIi8h0RaROR53PaPiMie0TkGe/rrTmv3SQi20TkJRG5NKf9XBHZ7L12u3iZREQkJCI/8tofE5F5OcdcIyIve1/XFOszGlOO2rridPQkuOknm3m1PUrAJ9xy+RIWTa+lOuSnaYgADMdv7ID85p7N6BVzOuK7wKpB2r+iqmd5Xz8HEJEzgKuAJd4xXxeR7K3gbwDXAou8r+w53w90qOpC4CvArd65pgCfBl4LnA98WkQaC//xjCk/h7rjHIkm+PSGLbTu78IR+OTbTufsuY1Egj6aa4dPSTnUnHQ+OYnN6BQtCKvqRqA9z7dfDtylqnFV3QFsA84XkZlAnao+ou6uku8DV+Qc8z3v+T3ARd4o+VLgQVVtV9UO4EEG/5+BMRPKkWiCI9EEtz7wEpte6QDgYxcvYsWiJkIBH9NrT5yS8kTJgEzhlWJO+CMi8l5gE/BxL1DOAh7Nec9ury3pPR/Yjve4C0BVUyJyFJia2z7IMf2IyLW4o2zmzp07tk9lTJ6KsQSsK5bkcHecr//6DzzsrWR43+vn8fZlJxHwubvh8k1Jme/csymM8V4d8Q3gFOAsYB/wz177YH87dJj20R7Tv1H1DlVdrqrLm5qahum2MYVRjCVg2dJEP3jsVX789B4A3nn2LN7z2rmWkrICjGsQVtUDqppW1QzwTdw5W3BHq3Ny3job2Ou1zx6kvd8xIuIH6nGnP4Y6lzElV+glYLFkmrbOOP/z7F6+87udALzptCY+/KZTCPh8zKi3lJTlblz/dLw53qx3AtmVExuAq7wVD/Nxb8A9rqr7gC4RucCb730vcF/OMdmVD2uAh715418Al4hIo3dD7hKvzZiSG2pb8miWgCXTbmmilq1t/MtDWwE49+RGbrxsMQGfw/T6EAELwGWvaHPCInInsBKYJiK7cVcsrBSRs3CnB3YCawFUdYuI3A28AKSAD6tqdp3Mh3BXWkSA+70vgG8D/yki23BHwFd552oXkVuAJ7z3rVPVfG8QGlMU2Xngg11xDnXFmVEfptbbLjyaJWDpjFtN+clXOvj8z14ko7B4Ri3rVi8h5Pcxvc5SUlYKS2XpsVSWplhy01Om0hn2HHGzmM1qcKcKRpKSEiCTUfZ1xnh+9xH+9u5n6UmkmdMY4farzqahOmgpKcfXmCfbbcecMUWWOw/sEg50xdjfGeecuY0jWh2hqrR1xdne1s2NP95MTyLNtJogt61ZRkN1kGZLSVlxLAgbU2QDtwLXRQLUhv0c7U1y57UXHPf+4ZawHeyOs7sjyvX3PkdHNElt2M9ta5YxvS7MtJog1ZaSsuLkNWsvIhEROa3YnTFmIhrJVuDhlrC19yTYfzTGDfc+x76jMUJ+hy+880zmTa1mak2ob47ZVJYTBmEReQfwDPCA9/1ZIrKhyP0yZsIYyVbgoZaw/duvt9HWGeMffvo8fzjYgyPw6XecwZKT6mmsClIfsQBcqfIZCX8Gdz3vEQBVfQaYV6wOGTPRjGQr8GBL2II+h1fbe7jlZy/w7G63PP31qxZzwYKp1EcCNA6SktJUjnwmkFKqevREe86NMUM70VbgoZawZVTpiiVJZeB329zy9B9aeQqXnDGdmrCfqcNkRDOVIZ8g/LyI/CngE5FFwHXA74vbLWMqX745InKXsM2oC7HnSIzdHb2cVJ8BEY70Jun2ytNfff4c3n3ubKpDfpprw+P9kUwR5BOE/xr4JBAH7sTdfXZLMTtlTKXLDay5N9jWea/nBueOnvhxS9j2d/ayvzNOU024LwBfduYMPnDh/L6UlGZiGNFmDS/Hb7WqdhavS6VhmzVMIV19x6PHFeyMJlIEHCGazBDwCZGAW7xz5+EeZjdEqIu4c7uqSiKV4UBXjKO9KQBef8pUPrN6CVUhPzNHkBHNFN2Y/yDyWR3xQxGpE5FqYAvwkoh8YqwXNmYiGypHxI7D0eNXPzgOB7rigBuAk2mlPZroC8BLZ9XzqbedTiToswA8AeWzOuIMb+R7BfBzYC7w58XslDGVbqi1wcBxwXl6XahvCVsynaEjmuBwdwKABdOq+fwVZ1ITDowoJ7CpHPkE4YCIBHCD8H2qmmSI/LzGGNdQa4MXTKs+Ljj7fQ6nNtfQWBXkcHecwz0JFJhRF+bWK5fSUBW0lJQTWD5/qutxM55VAxtF5GRgws0JG1NIQ60NvmHV4kGD84fftJC/u+RURBzSGaUhEuC2NUtprgszoz5sKSknsFFlURMRv6qmitCfkrEbc2a8ZJeu7e6IMruxivdecDIzGsJ87K5neKU9SlXQx5f/+DUsnlHHjPow4YAl5Cljxc+iJiI3D/HSuiHajTHDyN240ZtIs+NQDx//bzcAB3zCusuXcJoF4Ekjn3XCPTnPw8DbgReL0x1jJo94Ks3ujiif3vA8L+7rQoC/f+vpnHvyFKbXhSwATxInDMKq+s+534vIP+GWFjLGjFIynWHvkV5ufaCVJ3YeK0//xlObaKoN9VtfbCa20cz2VwHHp38yxuQlnVH2HenlXx/exkMveuXp/2ge73jNSUyrDVFjOYEnlXzmhDdzbEmaD2jC5oONGRVVZX9njO8/8go/fsotT3/5WSfxngvmMqU6SJ3lBJ508vlf7ttznqeAAxNtZYQx40FVOdAZ5ydP7eZbv90BuOXp//rNC2msDtFQdeKUlLc/tJVv/XYHPYk01UEfH7hwPtddfGqxu26KKJ854VcARKQZ98bcSSKCqr5a7M4ZU2r5ZkLLx6HuBL/csp8vP+iVp5/bwA2rFlMfCTIlj5zAtz+0la8+vA1HwO+4O/C++vA2AAvEFSyf3BGrReRlYAfwG9yNG/cPe5AxE8BwpYZGqqMnwW9fPsgtP3uBjMJp02v57OVLmFIdpCnPjGjf+u0OLwA7OOJ4j/SNqk1lyufG3C3ABcBWVZ0PXAT8rqi9MqYMDCw1lEorbV0x1v7Xk1x9x6N5B+POWJJNO9v51E+fJ5lWZjdG+OK7zmRaTTjvAAzQk0gzMHWEI267qVz5BOGkqh4GHBFxVPXXwFnF7ZYxpZebCa2zN8neo71kMko6k8l7VNwTT/HcriNcf+9z9CTSTPXK08+ojzC9LsRIKtZUB31kBmxwzajbbipXPjfmjohIDbAR+IGItOHeoDNmQhpYaqgu7OdQT4KMggiEfA5VQT/RRIr1G7cDDDpvHEumad3f1Veevibk57YrlzF3ShUz6sIjCsAAH7hwPl99eBupTAZH3ACcUbfdVK4T5o7w8gjHcPdI/xlQD/zAGx1PGJY7wkD/ihipdIZd7b1kBrzH7wizGyPUhPzs74z1VUTOJmlPppWb33Y6MxsjfPTOZ9h2sJuQ3+Ef1yzj7LmNnNQQwTfKlJS2OqLsjDl3xKgS+ExEFoQnj6FWPLS0tnHdXU8TTaQJ+R2m1YTY3xkjnnLDsAABn4OIG4jrIn7auhKAEvb7aKoNURsO0BNPUhsOIALP7DqKI/C5K87kwoVNnNRgKSknmOIFYRHpYvC8wQKoqtaN9eLlxILw5JA70s0dua45Zxb3PLWHPUei+B0BFTIo6YwS8AnJtOJzBAcBURIp7fvHIQI+AUccZtaH3BL1Hb19wfvGVadx2dKZzKyPEPRbAJ5gipdFTVVrx3pyY8pN7ooHoG9u91u/3UFTbYiw30cqo24FiwykUTLqVsOYVhPiUHec3mQGxV2ZoOp+pRR8kuFAZwyf4/QF4A++cQGrzpzJjPqwBWAzqCH/VojIeSJy2SDt7xCRc4vbLWOKY6jabz2JNJGAO6WgChlVEHesm1Goi/ipDfv7Eqw7AkG/405PeOdJK8RS2rdk7E+Wz+ZPzpvLjPowIb+tYDCDG+5/zf/I4CkrX/ReM6biDFX7rTroTk3UhgPuvK0jpDJKTcjPR9+8kHlTa/oqZNSG/YT9Dqrgc2TQm2yRgI+z5jRYSkpzQsMtUZuqqjsHNqrqNhGZWrwuGVM8a1cs4OYNW4gmUv3mhD9w4XzueWoP0USKmpAfn+POA69bvYSVi5u5LuccV9/xKDsPd3O4O9k3b5yrOuijsSrAT57ey9WvPXl8P6CpOMONhCPDvFZd6I4YMx6Gqv123cWnDto+WJ6ItSsWEPD5mFoTwEH73b2OBBxm1oepDQfYd7R3/D6YqVjDrY74d+Aw8CnNeZOIfBaYqarXjk8Xx4etjjAj0dLaxtdb/sC2g1209yQBCPoc5jRGCAV8xFNpmmvD3HntBSXuqSmyotaY+zjwLWCbiDzjtb0G2AR8YKwXNqaSvW7hVETgr+98GnCXqE2rCRLwCfGUO8WxdoXVPjAnNtwStR7gahFZACzxmreo6vZx6ZkxZWCwjR2vXzSNzbuP8ol7nqMzlqI+EuCi05r45YsHONAV79vJNtqUl2ZysR1zHpuOmBxGkh94sI0diVSGD1w4n+/8fievHHaXu73/9fP4yTN7CQecfjf7hppTNhPKmKcjbPW4mTRGmh/41gdaaeuM8Wp7lB2HekilMyjKrb94iVcOuzvr1l2+hEe2txPyH0t5mc0lkU3uY8xwLAibSWNgfuDhgmVLaxtb27rJqLtdOZVR9nT0crArQTSR9srTL+bCRdPY39l7XHXkSMDH7o7oOH0yU8nyCsIicqGIvM973iQiljvPVJyhdssNFiyzAVtwk7nHUxlSSt925OsuWsilZ85kem2YuVOqB90AMruxqngfxkwY+ZQ3+jRwA3CT1xQA/quYnTKmGIbaLTdYsNzVEWV6bYhUJkNqYCZ1oDuWYkZdGMcR1q5YQDKtRBMpVN1HWx1h8pXPSPidwGqgB0BV9wKW3MdUnJEEyzmNVfh9DulB7lv7BO7etKtvu/JQG0DsppzJRz6VNRKqqiJuNhMvybsxFWfl4mbW4U417O6IMntALuHcVROvWzCFu5/cfdw5fIDPgWgyc9y5Leia0cgnCN8tIuuBBhH5S+AvgG8Wt1vGjN5wy9AGC5a5S9Gyqyb++8ndnDa9ht0dx7Ye+4CA3yGtanXdTMGcMAir6j+JyFuATuA04GZVfbDoPTNmFAYLqDdv2MI6GHKkOjDHcDjgoyuW5OHWg33v8Yk7Ak6rWl03U1AnDMLe9MPDqvqgiJwGnCYiAVVNFr97xoxMdm1vWhWfV0gzmclw3V1Pc/tVZ/cLxNkR8+M72wl75Yxqw366YykOdSdQYFZDhDcsnMrPNu8jmsxYXTdTcPlMR2wE3iAijcBDuLkj/gS36KcxZSO7ttcn7jammLecLOBANJHuNyLOHTGHfEIinWHPkShTq4Mc6kmSUbeO3G1rlnLWnEa+tOY1/a5z9R2P5rXrzpgTyScIi6pGReT9wL+q6m0i8nSxO2bMSGWnFTQDifSxG2fJDAR80NYVY+1/Pck5cxs5Ek30TUE014XZ09GLKrR1uSNgAT6yciHLZjdQHTr2z2Q00x3GDCefJWoiIq/DHfn+zGvLJ3gbM66ya3vTqsdVqE2mlVQ6QzqToa0rxta2blJeoK4NB2iqC5FR+gLw2jcs4H1vmE9tONDvPCPZdWdMPvIJwh/F3ajxE1Xd4mVV+3Vxu2XMyGXX9vqGSKmSyoDfcfoC54HOOACJVJqOnmRf4L7liiWsXXkK9ZHAcecYya47Y/JxwiCsqhtVdbWq3up9v11VrzvRccaMt+xmjJQqgSH+ZqcySlcsyfTaEMlMhs7eBHuO9PbtpFtzzmwuO3MmjdXBQY8fya47Y/KRz7blJhH5RxH5uYg8nP0aj84ZMxLZnWvVQT+KIANGxIJbmPNgVxy/z2H+lCq642m6425QvWzJDK6/7DSm1oSGvIZtUTaFls90xA+AVmA+8FlgJ/DEiQ4Ske+ISJuIPJ/TNkVEHhSRl73HxpzXbhKRbSLykohcmtN+rohs9l67XcT9pyUiIRH5kdf+mIjMyznmGu8aL4vINXl8RjNBrFzczO1Xnc1JDRF8IoT8gt/7W+5uM1ZiqTTxVIaTp9VwuCcBwLvPnc1nLne3Hp/o/LZF2RTSCZO6i8iTqnquiDynqsu8tt+o6htPcNwKoBv4vqqe6bXdBrSr6pdE5EagUVVvEJEzgDuB84GTcJfCnaqqaRF5HHde+lHg58Dtqnq/iPwVsExVPygiVwHvVNU/EZEpuMvoluPeZ3kSOFdVO4brryV1n1haWtu47q6n6UmkCPt9VAd99CTc4BsJOLx58XTue3YvAG85YzqfWX0GJ9VHkIHDZ2OGV9Qac1nZTRn7RORtwF5g9okOUtWNuaNTz+XASu/594AW3AxtlwN3qWoc2CEi24DzRWQnUKeqjwCIyPeBK4D7vWM+453rHuBr3ij5UuBBVW33jnkQWIUb5M0El7tleVZDhIPdceojgX6VMVacOo0fPrYLgAsWTOFTbzudmXUWgE1p5BOEPyci9biFP/8VqAP+ZpTXm66q+wBUdZ+IZH+Hm4U70s3a7bUlvecD27PH7PLOlRKRo8DU3PZBjulHRK4FrgWYO3fuKD+SKRcD1/D2Jt3k6wFHONqbZFZDhKWz6vmP3+9EgSUn1fG5K85kdmMVjmMB2JRGPrkj/td7ehR4U5H6Mdi/AB2mfbTH9G9UvQO4A9zpiBN305SzgTkgso+N1SHu/9hr+VVrGx/54VOkMsq8qVXcduUy5k2t7ktJaUwp5LM64lQR+VX2BpuILBORT43yegdEZKZ3nplAtrjXbmBOzvtm40577Kb/1Ee2vd8xIuIH6oH2Yc5lJrjh1vA+sbOdj9/9LLFkhubaEP/87rM4dUYtfp9V+DKllc90xDeBTwDrAVT1ORH5IfC5UVxvA3AN8CXv8b6c9h+KyJdxb8wtAh73bsx1icgFwGPAe3GnRHLP9QiwBjfJkIrIL4Av5Ky8uIRjVUFMhcqd660N+VFVuhPpfrkb5jRW0dYV61fvrTeZpiES5CM/fJqjvUnqwn7++Y9fw9LZ9QQsAJsykM/fwipVfXxAW+pEB4nInbgB8jQR2e3lnvgS8BYReRl4i/c9qroFuBt4AXgA+LCqZlfEfwj4FrAN+APuTTmAbwNTvZt4fwvc6J2rHbgFdxndE8C67E06U5lyqyT7BF5u62bbwR58Qr+KyYOt4Y3G07R1xWjrihMOONx25TLOmzeFoN8CsCkP+SxRux/4CPDfqnqOiKwB3q+ql41HB8eLLVErX1ff8WjfCHf7wW635puC3ycsaKohmkjRXBvmzmsv6Bsx7+6I0lQb4nB3glfa3fL0X3zXUt6+7CQilpDdFM64LFH7MO7Nq8UisgfYAbxnrBc2Jl+7OqI0eHkcEulM3420bKa03NwN2coZR3sTrP3PJ3mlPYoAN711MW9bNtMCsCk7+ayO2A5c7CV3d1S1q/jdMuaY3LneoM/pGwkHvTndgbkbehMprr/nOR7d7s5CfeTNC/mT8+b2mys2plwM+bdSRP52iHYAVPXLReqTMf2sXbGAmzdsIZpIMa0myJ4jMQBm1ISOy92QSGX47P+8wC+2HADgvReczAfesICakAVgU56G+5tpZe1NyWXneHviSZJpJeh3WNRcg6rSk0jTXBvuWx2RzihfeXArdz3h7tWZWh3kwRf283Jbt1W/MGVryCCsqp8dz46YyWm4ysi5O+Bm1kfoTaZJppUbVi0+LqBmMsp3freDb/zmD4B7t6SjJ0Ek6GPHoW6rfmHK1nhv1jCmT+7Ss9xSQS2t7h6e3B1wXbEU+4/G2Hukl+vuerrvPQCqyj1P7eaLP38RcAOwIxD0O6TSyuGeBIlU2qpfmLI03ps1jOkz2DbjaCLVFyyferWDjCqaUVLeSkoBumIp1v7Xk9SEfJw6vY7zTm7k3/9vOxl1V0rEkmkCfgdByKiSSisHOuN0RJO0tLbZaNiUlXyCcJWqPj4gw9QJN2sYcyK5S8+yIgEfz+4+wvu+9wQDl7C72YBdqUyGWFJ45XAPj24/3FeePpnOgGbIKGRUSaYz/ZKN2LSEKTf5bBs6JCKn4P399zZr7Ctqr8ykMFipoL1Heokm0scFYOifhSmTgVgyzYGuOIpbnv6rV53FgmnVNFQHUYVk5ljFZQFm1IetKKcpO/kE4Q/jTkVkN2t8DPhgMTtlJofBthl3RN301SIcV54oKzsiziikM4oj0BDxc87cRj74xlMI+HxMrQmgOdWTm2qC1IYDVpTTlJ18Cn1uV9WLgSZgMW5S9guL3C8zCQxWKgi8faCDjISF/lMS2QA7rSbIwuZaHEf6zjlvag0hv0M44DB3ShXT6yOAFeU05WfIICwidV7dt6+JyFuAKG7Wsm3AH49XB83EtnJxM2tXLKA66OOpVztQ6PtC+2/MD/qd42Lz1JogIb+PD77xlH7nvPPaC1j/nnNprg3j94kV5TRla7gbc/8JdOBmQvtL4HogCFyhqs8Uv2tmMmhpbePv7nmWI9Ekjhw/0s2aWhUgHHDoSWQ40utOWdSH/ZzSVMOH3njKoDfaVi5uZh30JfSZPWAdsjHlYLggvEBVlwKIyLeAQ8Bcyx1hCmn9xu10x1P4RLyge/w8RMgPC5trcByHR7YfBuDaNyzg45eeSsg/fEKebEIfY8rVcEE4W+ATL7n6DgvAptB2dURJZxSfiLu8DPeGXHZ1RMAn+ERoPdDF0V53ZeSac2fzN29ZdMIAbEwlGC4Iv0ZEOr3nAkS87wVQVa0reu/MhDensYpD3XE0cyzwZgfDIuATIZbKEE26AbqxKsBn3nEGEcuIZiaI4XJH2DDDjNpwOSFyrV2xoG9OeOBEhAOk0u7GC4CqoI9IwKEmHBh4GmMq1gkra0wWVlmjcHIT70QCvr7EO+tWLwE4LjgDfOqnm9ntpajMvTmXFfY7NNeFmNXgHpNPgDdmHIy5soYFYY8F4cLJLUeUFU2kSKQytHXF3a3E6ibZ8fscPrzyFB7Z3k5bV4xUWjnUHXd3zXnHBn3C9LowIsKac2Zxz1N7Bg3wFohNCYw5CFu1Q1NwA0vPd8WS7G6Psqujl3jKnV5QIK0QT2W4/eGX2Xqgk0jAR10kwMz6ME7OdrnGqiCzG6tYt3oJj2xv70v6I+I+2lZkU8ns7oYpuNxyRF2xJHuPxEikh/6NK5WBaCJNbzKNzxF2Ho6SVnc78ukz6vjZR9/QN8f8+M52fCiO45BWJehzmFYTtK3IpmLZSNgUXG5OiLbOGOmcRDqDESCVUWKJNDsO9ZDKKAJMrQ7xiUtP65d3WFASGYilMiTTSjyVYc+RGNVWwNNUKAvCpuByc0LEUsdWNwwnmVYOdMVJeiPmU5qque3Kpaxc3NyXd7irN0lqQDxPZRRVRYbK9mNMmbMgbIoim7+hJuTH7xOCPmfIOxjHcgS7zxqqAnzyracjIlx9x6M8vrOdV9ujtHUnBj3e7wjdcUtxbSqTzQmbMWlpbePWB1rZfqgHgPlTq7jxstP7VioE/Q69iTTiuKshhpkaBqC5NkRNyMdtv3iJnkSagE/wC8SHONARSKlaZjRTsSwIm1FraW3jE/c8S4eXfCejSuuBbt733Sc4bXoNN152Ok01ITp7k8QHziMMYkp1kObaEAAvt3UzuzFCKq0kh5nPyCiEfI5lRjMVy4KwGbX1G7fTFUvhcwT1Eqxn7WyP8ol7niWWTJPR4zdgBH0O6Uymb2TsE5hZF0JEiCbcqYVUOsPeo7Fh55RF4MMrB8+iZkwlsDlhMyotrW089WqHt0ohQyJ9bKSruAG5K5YimVEaqwLH7YDLDcAA02oCfQE4mVbmT63iQFccB8EZpsLG31y0iOsuPrXQH8+YcWNB2IxYdslYNjZmR6q5gTadcYtsJlJu/t+BcTQbgB2Bt505nd6k8uL+Lg52xVlzzixuvOx0kmlFUfyDROGQ3+FvLrYAbCqfBWEzIi2tbVx319PsOeJuqBhK9iacKjgIvkECqd8R/vLCeWze20VTbYjTZ9TSVBvinqf2AHBqcw2Ol2c47HcI+x18DtSF/ax/z7kWgM2EYEHY5C07Ao4m0qD0rekdKODQNyxWIJ7O9C0/y/XeC+by3J6uIbch37BqMc11YeZOqWJhcw2zGiPMaqji9qvOtjlgM2FYEDZ5y26a8Dsy7FKzZAZSOnxmk6APXtzffVyeCaCvIvJghUAtUY+ZaGx1hMnbro4oDZEA+WbeG+5d9ZEAu71UlAMzruVWRLbyRGais5Gwyducxir2HukdcuPESBzsdqtn5eaZsIrIZjKyIGzypxnao8kTvy9P+472AtiUg5nUbDrC5KWltY1Hd3YU7HwBBxT3Btyd115gQddMWjYSNnlZv3E7hSzCouqu9bU8wGaysyBsTqiltY3Hth8u6DlTCmCJd4yxIGyG1dLaxl/94ElOnH5n5HoSGV63YEoRzmxM5bAgbIZ16wOtRJNjC8E+Rwh564sdcdcPC+6uuke2txekn8ZUKrsxZ4a1ra17zOdIZ5Q0XnVlx8HnCJmM4veJzQmbSc+CsOmTLaa5qyNKbciP6vC5fEcqo5BIZ/CrIAK14YDNCZtJz4KwAY4laO+KpUik3bpwvgKWbfPlVNXIqNJcEyLo99mmDDPpWRA2APzdPc9yaEANtwJsjOsT8DmQUUI+IZ5W5k+rYe2KBbY+2Ex6FoQNtz+09bgAXGiqbjrKGfVhmmvD3HntBUW9njGVwoLwJJYt0vni/q6iXkeADEptOGB5IYwZwILwJNXS2sZ1dz5FVzxd9GuFAw7VQZ9NQRgzCAvCk9SX7n+RznEIwK+b38ida/+o6NcxplLZZo1Jasdhd32uFHAFRC5H4J1nzbQAbMwJ2Eh4slM3EBciOY8j7u64uVOqaK4N85Wrzhn7SY2Z4GwkPEnVht3//yqFCcDgBuGgz+krT2SMOTEbCU9ChV6SJoDPAUccmmpD/coTGWOGV5KRsIjsFJHNIvKMiGzy2qaIyIMi8rL32Jjz/ptEZJuIvCQil+a0n+udZ5uI3C7iznCKSEhEfuS1PyYi88b9Q5axb/12R0HPp7g5IWbWh/A5YsvQjBmBUk5HvElVz1LV5d73NwK/UtVFwK+87xGRM4CrgCXAKuDrIpItz/sN4Fpgkfe1ymt/P9ChqguBrwC3jsPnKXstrW1cfcejdMZSBT3vtOoAZ89tJKNYeSJjRqicpiMuB1Z6z78HtAA3eO13qWoc2CEi24DzRWQnUKeqjwCIyPeBK4D7vWM+453rHuBrIiKab5ngCailtY2bN2yhK1b4nXGLptfZDjhjRqlUQViBX4qIAutV9Q5guqruA1DVfSKSHUrNAh7NOXa315b0ng9szx6zyztXSkSOAlOBQ0X6PGXr9oe28q3f7qAzlsIRN5NZoR2JJrjw1oeZ01hlmzGMGaFSBeHXq+peL9A+KCKtw7x3sJWsOkz7cMf0P7HItbjTGcydO3f4Hpex3BSUuYHw9oe28tWHt5H96MUIwOCmp2yIBGjrinHzhi2sAwvExuSpJHPCqrrXe2wDfgKcDxwQkZkA3mOb9/bdwJycw2cDe7322YO09ztGRPxAPXBcCQdVvUNVl6vq8qampsJ8uHGWnWZo64r1C4QtrW3eDTglU4zaRDmqgn5EhKqgn4DPraBsjMnPuAdhEakWkdrsc+AS4HlgA3CN97ZrgPu85xuAq7wVD/Nxb8A97k1ddInIBd6qiPcOOCZ7rjXAwxN1Pnj9xu0EfDJoIOxJpElnBvkVoIDqw/1/mbI1wsaMTCmmI6YDP/FWk/mBH6rqAyLyBHC3iLwfeBV4N4CqbhGRu4EXgBTwYVXNJj34EPBdIIJ7Q+5+r/3bwH96N/HacVdXTEi7OqI0RAL92rKBMFOg+Qdfzlxy7hnrwn6m1Yb6vdfWCBszMuMehFV1O/CaQdoPAxcNcczngc8P0r4JOHOQ9hheEJ/o5jRW0dYVoyp47I+yN+n+P6pQI+C0Qk3QwXEc6iNuSaLsOuCbN2whmkgRCfjoTaZtjbAxI1ROS9TMKKxdsWDQQLj3SG9Br5PMwPo/Pfu4G27rcKdEdndE+4Kz3ZQzJn8WhCvcysXNxwVCNMOr7YWdlw36Bl/xsHJxswVdY8bAgvAEkA2Ctz7Qyqad7QWtkJwlYrmejCkGC8ITwO0PbeVff72NZCErc+YQIOi3IGxMMVgQrnAtrW38W8sfihaAAWbUh5g3taZo5zdmMrPhTYVbv3E78VTxdmP4BAI+n614MKZIbCRc4bYe6Czo+QR3aZsj7vPqkN+yohlTRBaEK1xnb2HTUvocYVZDGL/PIZlWC8DGFJkF4QrW0tpW0JUQU6v8NNdF6I6naK4N25pfY8aBBeEKlV0RUQiOQH3Ez6kz6i0vsDHjzIJwBWppbeMrD71ckG3JAa82XHc8zcsFnl82xpyYrY6oMC2tbXzg+08UNC+E47jplxNFXOZmjBmcjYQrREtrG/9w3/Ps6ihsToiMQkYV1DZkGFMKFoQrQEtrG+//7hOkT/zWvOWWHvE7Ql11wDZkGFMCFoQrwEd++GTBArDg5gHuSbhnzF2OZhsyjBl/FoQrQHeiMDvi/A6cN28quzuinNQQQVXpSaRtOZoxJWRBuEzlFu8slIVNNbYEzZgyY0G4DGWLdwZ8gm+wutGj9NalMwt3MmNMQdjt8DKULd6ZziivtBdmNYRP4JHtxxWcNsaUmI2Ey9Cujijt3XGiybHPBfsdwSeC3ydWBdmYMmQj4TLS0trG1Xc8yp6O3oIEYACfCGlVEqk0bV1xrr7jUVpa2wpybmPM2FkQLhPZeeCdh7sLthsOAIFMRlGEGXUh2rpi3LxhiwViY8qETUeUWHYVxKad7aQyWtAA7PO2IwcDDtNrw9RFAgBEEynWb9xuS9KMKQM2Ei6h3NFvssABGOCjb15IU22IhU01fQEYIBLw2fywMWXCgnAJZVdB7DsaL/i5Aw5cd/GpzGmsojfZf79dbzLN7Maqgl/TGDNyFoRLaFdHlEjAV7DzCW5uYEcgEnRnmtauWEAyrUQTKVTdR9uibEz5sCBcQnMaq3hxf+Fy+PodCDgOPkcIers8Vi5uZt3qJTTXhjnam6S5Nmwli4wpI3ZjroS27j9KuoCFklMZqAoKteEA86cdy4i2cnGzBV1jypQF4RJZ9ZUWDkcLV6RTAL9PmFEftukGYyqIBeFxlF2O9uQr7QWvYhHyOyhYRjRjKowF4XGSXY7W3h0reAB2BJrrbK7XmEpkN+bGSXY5WqFyA+c6qd4CsDGVykbC42Tzng56ChyABbjirJl85apzCnpeY8z4sSA8Dq5e/3u644UNwLMbwnzuiqU2+jWmwlkQLrLbH9rKIzs6CnrOadUBfnvjRQU9pzGmNGxOuMi+8Zs/FPR8jVV+Fk2vK+g5jTGlY0G4yHoLlBc4qzYctDXAxkwgFoSL6PaHthb0fFVBn62CMGaCsTnhImlpbePLD71ckHP5HJhSFeQf17zGArAxE4wF4SJoaW3jA99/YsznmdMYAWB2Y5XtgjNmgrIgXGAtrW28/3tPMNZNcTVBh/+74c2F6ZQxpmzZnHCBffzuZ8YcgAMOfO1Pzy1Mh4wxZc2CcAG1tLZxOJoc0znCfvjme8+zqQdjJgmbjiig//fdsc0DT63y8+TNlxaoN8aYSmAj4QK5ev3vx3wOC8DGTD4WhAugpbVtzFuTs+XpjTGTiwXhMWppbRvzNATA6mUzCtAbY0ylEdXCJhivVMuXL9dNmzbl9d55N/6syL0Zmt8Bn+OQySiOIzTVBEGVA90JUmlFABGOW6FRE3KY01iNqtKdSDOniGuPsxVEdnVEqQ356YolOdidAGD+1CpuvOz0srzxmNvv8fr5FPM6ZlyM+VdYC8KefINwKQPwQL5Bgu2J+B1hVkMYv88hmdaCb4POVhAJ+IRUOsPujl7S6vbV5wgZhYaqAP9UZrv/cvsdCfjoTaaL/vMp5nXMuBlzELbpiAo2mvXIPhEOdSeoCvoJ+IT1G7cXtE/ZCiJVQT+HuhNkvD4q7gjeJ0J3PFXw645Vbr9FZFx+PsW8jqkcFoQnGRFIpN3MbpGAj90d0YKef1dHlEjAB7jXyf5/IvsLlwikM1rw645Vbr+ziv3zKeZ1TOWwIDzJqELQ5/6x9ybTzG6sKuj55zRW0ZtMA+51sr+riRy7vs+Rgl93rHL7nVXsn08xr2MqhwXhCuYbxWxUWpVpNUGiiRTJtBY8N/HaFQtIppVoIsW0miDZlXcCpDMZ0qrUhPxllxM5t9+qOi4/n2Jex1SOCR2ERWSViLwkIttE5MZS96cQ/A6E/A4BR/D7HGY3hJldHyLgEwT3D3Sw4Fwbcjh9Ri0Lm6rJKDTXFqdC88rFzaxbvYTm2jAZhVOn1zLbuxEoIixsqi67m3LQv99He5Pj8vMp5nVM5ZiwqyNExAdsBd4C7AaeAK5W1RcGe3+xVke806ohGzORjXl1xETOHXE+sE1VtwOIyF3A5cCgQbgYdn7pbeN1KWNMhZrI0xGzgF053+/22vqIyLUisklENh08eLCgF7cAbIzJx0QOwoP9mtBv7kVV71DV5aq6vKmpqSAX9YsFYGNM/ibydMRuYE7O97OBvcW8oAVfY8xITeSR8BPAIhGZLyJB4Cpgw1hPOlSgtQBsjBmNCTsSVtWUiHwE+AXgA76jqlsKcW4LuMaYQpmwQRhAVX8O/LzU/TDGmKFM5OkIY4wpexaEjTGmhCwIG2NMCVkQNsaYErIgbIwxJWRB2BhjSsiCsDHGlJAFYWOMKaEJm094pETkIPDKCA+bBhwqQncKqRL6CJXRT+tj4VRCP/Pp4yFVXTWWi1gQHgMR2aSqy0vdj+FUQh+hMvppfSycSujnePXRpiOMMaaELAgbY0wJWRAemztK3YE8VEIfoTL6aX0snEro57j00eaEjTGmhGwkbIwxJWRB2BhjSsiC8CiIyCoReUlEtonIjeNwvTki8msReVFEtojIR732KSLyoIi87D025hxzk9e/l0Tk0pz2c0Vks/fa7SIiXntIRH7ktT8mIvNG2VefiDwtIv9bxn1sEJF7RKTV+5m+rtz6KSJ/4/1ZPy8id4pIuBz6KCLfEZE2EXk+p21c+iUi13jXeFlErhlhH//R+/N+TkR+IiINpexjP6pqXyP4wi2V9AdgARAEngXOKPI1ZwLneM9rga3AGcBtwI1e+43Ard7zM7x+hYD5Xn993muPA6/DrUZ9P3CZ1/5XwL97z68CfjTKvv4t8EPgf73vy7GP3wM+4D0PAg3l1E9gFrADiHjf3w38v3LoI7ACOAd4Pqet6P0CpgDbvcdG73njCPp4CeD3nt9a6j72628xg8dE/PL+UH6R8/1NwE3j3If7gLcALwEzvbaZwEuD9Qm3zt7rvPe05rRfDazPfY/33I+7U0hG2K/ZwK+AN3MsCJdbH+twA5wMaC+bfuIG4V3eP2Y/8L9eECmLPgLz6B/git6v3Pd4r60Hrs63jwNeeyfwg1L3Mftl0xEjl/0HkrXbaxsX3q8+ZwOPAdNVdR+A99h8gj7O8p4PbO93jKqmgKPA1BF271+A64FMTlu59XEBcBD4D2/a5FsiUl1O/VTVPcA/Aa8C+4CjqvrLcurjAOPRr0L+u/sL3JFtWfTRgvDIySBt47LOT0RqgHuBj6lq53BvHaRNh2kf7ph8+/Z2oE1Vn8z3kCGuV7Q+evy4v6p+Q1XPBnpwf4UeSil+lo3A5bi/Hp8EVIvIe8qpj3kqZL8K0l8R+SSQAn5QLn20IDxyu4E5Od/PBvYW+6IiEsANwD9Q1R97zQdEZKb3+kyg7QR93O09H9je7xgR8QP1QPsIuvh6YLWI7ATuAt4sIv9VZn3MnmO3qj7mfX8PblAup35eDOxQ1YOqmgR+DPxRmfUx13j0a8z/7rwbZW8H/ky9+YJy6KMF4ZF7AlgkIvNFJIg7Mb+hmBf07sp+G3hRVb+c89IGIHsH9hrcueJs+1XeXdz5wCLgce9XxS4RucA753sHHJM91xrg4Zy/qCekqjep6mxVnYf7M3lYVd9TTn30+rkf2CUip3lNFwEvlFk/XwUuEJEq79wXAS+WWR9zjUe/fgFcIiKN3m8Kl3hteRGRVcANwGpVjQ7oe2n7mO/NAvvqN7H/VtwVCn8APjkO17sQ99ea54BnvK+34s5D/Qp42XucknPMJ73+vYR3V9drXw487732NY7tmgwD/w1sw70rvGAM/V3JsRtzZddH4Cxgk/fz/Cnuneyy6ifwWaDVO/9/4t69L3kfgTtx56mTuCO/949Xv3Dncrd5X+8bYR+34c7XPuN9/Xsp+5j7ZduWjTGmhGw6whhjSsiCsDHGlJAFYWOMKSELwsYYU0IWhI0xpoQsCJtJRURacjNleW0fE5GvD/P+si5IaSqbBWEz2dyJu5kk11VeuzHjzoKwmWzuAd4uIiHoS4h0EvCnIrJJ3By+nx3sQBHpznm+RkS+6z1vEpF7ReQJ7+v1Rf8UZsKwIGwmFVU9jLvLaZXXdBXwI9ydj8uBZcAbRWTZCE77VeArqnoecCXwrQJ22Uxw/lJ3wJgSyE5J3Oc9/gXwxyJyLe6/iZm4yb6fy/N8FwNneIUXAOpEpFZVuwraazMhWRA2k9FPgS+LyDlABOgA/g44T1U7vGmG8CDH5e7xz33dwU3y3Vuc7pqJzKYjzKSjqt1AC/Ad3FFxHW5e4aMiMh24bIhDD4jI6SLi4FZnyPol8JHsNyJyVhG6bSYoC8JmsroTeA1wl6o+CzwNbMENzL8b4pgbcUsNPYybpSvrOmC5V0TyBeCDReu1mXAsi5oxxpSQjYSNMaaELAgbY0wJWRA2xpgSsiBsjDElZEHYGGNKyIKwMcaUkAVhY4wpof8PtLlbFjHBoxYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x='Value',y='Release Clause',data=df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "7c887624",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x198e1ea4df0>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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0jvaGSEnxffHAAF/83o5CKtqvvtVzOYQCpV0J1dw6shzMTceKolSIuZLLm6f49biuy1AyQzrnsvm8FePu7xrD1556gz/5fy/RN5yhPmTzuavW84eXnl5SfPMz2hY2VHZG22yjK2BFmUHm2ty6/Ov5l/95nf29wyyaoHsZeJVvf/ngTp59ox+ANR0N3HLVepa1lHY5zPVAWym0EENRlJLEUll64qVHBv384CBf+N6r9MQ9l8PV5yzlI5tOK7nqnSOBNi3EUBRl5jHG0DecYTCZnXAf1xi+8cwBvvLEXlwDdSGbP37nGbx9khX/fAq0lUIFWFGUMTiuoSuWIpmZeET8YDLLbQ/t5Kd7+wBY3V7P565cz4q20gHHuVjRdrKoACuKMoJU1qFrKE3OnTi/9+VDg3zhgR10x9MAXPHmJfzh208jHJx4RTuXK9pOFn0nFEUpMJm/1xjDvc8e5MtP7MVxDZGgxccvO4N3rl9U8rzzOdBWChVgpeao9l4Lk9lXjfYbY+gdzjBUwt87lMxy+8Ov8WRnLwCrFnouh5ULJnY5zJFAW9nQLAilpqj2uWmT2VeN9uccl65YmlR2Yn/vjiNDfP67r9IV81wOl5+1mBvfcTqREi6HeRJo05lwyvyh2uemTWZftdmfyjocHkhNKL7GGO577iAfu+dFumJpwgGLmy4/kz+7/MyS4tsYqc0ZbbONuiCUmqLaey1MZl812T+UytJbwt8bS2X560de48d7PJfDKW113HLVelYtrJ/wnBpoOzH0XVJqimrvtTCZfdVgvzGGnniGWGpif+9rR2N8/ruvcnQoBcC71i/iY5etKcxyGw8NtJ04+k4pNUW191qYzL5K259zXA4PpiYUX2MM337hEDfe8wJHh1KEAhZ/+q4zuOnyMycU37k0o2220SCcUnNU+9y0yeyrlP2prMOxoRSOO/7/fDyd4+++v4v/2dUNwIrWKJ+7aj2r2xsmPOc8CbSVYlpBuLIJsIhEgO1AGM/VcZ8x5nMi0gZ8AzgV2Ae83xjT7x/zSeBDgAPcaIx5pNQ1VIAVZWoMJrP0DU/s7919LMbnH3iVwwOey+Edazv4+DvXjHCVjEYr2oDZ6gUhIqcAa4wxj4pIFAgYY2IlDkkDlxpj4iISBJ4QkYeAXwUeM8bcJiI3AzcDN4nIemAzcBawFHhURM4wxkycG6Mos0Q15u5OBWMM3fE08dT4I4OMMdz/0hG+tG0PWccQtIX/fenpXPHmJRMKqwbaZo4pOWxE5PeA+4At/qblwLdLHWM84v7DoP9jgPcCX/W3fxX4Ff/+e4F7jDFpY8xeYA9w/pRehaKUkXzublcsNWIu2radXZU2rSRZx+XQQHJC8U1kcnzxezu447HdZB3DspYo//wbG7jy7KUTim80ZLOsJariO0NM1WP+UeAiYAjAGLMbmPTjX0RsEXkR6AJ+YIz5KbDIGHPEP8+RovMsAw4UHX7Q36YoFaXacnenQjLjcHggSSY3fj+H17vi/P5dz/PD1zx/76Yz2vnX39zA6R3j+3s10FYepvoxljbGZPKfiiISwFvNlsR3H7xFRFqAb4nIm0rsPt5H7phriMj1wPUAK1eunNxyRZkm1ZS7OxUGE1l6h9PjPmeM4Xs/P8o//XAPmZxL0BY+suk0rj5n4lWvBtrKx1QF+H9E5FNAVETeCXwE+O5UL2KMGRCRbcDlwDERWWKMOSIiS/BWx+CteIvnnCwHDo9zrq3AVvCCcFO1QVFOlmrI3Z0Kxhi6Y2ni6fFdDsmMwz88uotHd3j/ckuaI3zuqvWcsahxwnNqoK28TPW7xM1AN/Bz4AbgQeAzpQ4QkXZ/5YsftLsM2AncD1zn73Yd8B3//v3AZhEJi8gqYA3w9JRfiaKUiUrn7k6Fgr93AvHd2zPMH3z9+YL4/uKahWz54LkTim9+Rlt749yf0bZtZxfXbn2Ki29/nGu3PjWrvv1ypqGdjRdks/GE/l5jzK0isgC4F1gJ7AfeZ4zp84/5NPC7QA74I2PMQ6WuoWloymxRzbnHiUyO7lh6wvzeh14+yp2P7SadcwlYwu//0mn8r7eWDrTNl4q2GWiOVP48YBH5OWP9sYPAs8AXjTG90zHiZFEBrh2qLY0rb8/urljBF3rGoqaK23WiDCQyhdHvo0lmHe58bDePvHIMgMVNEW65ah1rFzeNu/98bB157danxriXEpkcHY0R7r7+gqmcYlbygB/CK474L//xZv92CPgP4KrpGKHMbYpXGcVpXLdCRcQub0/WcRhMZEEgmYW9PfGK2nUiuK6X3zs8gcthX+8wn//uq7zR6wUKLzptAX92+Zk0RsYX1/kaaKt0gHWqAnyRMeaiosc/F5EfG2MuEpHfLIdhytyhOI0LoC4UIJHJsWV7Z0WELm9PbzyHZQmWCK5riKVyLG4OVMyuqZLJuRwbSpF1xk8x+/6rx/jHH+wilXOxLeH6S1ZzzYZlE7oc5nOgrdIB1qk6eRpE5BfyD0TkfCCfMDj+R7Ci+BzoT4xp5FLJNK68PRnHJa85IpBx3KpOLwMYTuc4PJAcV3zTWYe/feQ1bntoJ6mcS0djmDt+/S2879zl44rrfAq0TUSlA6xTXQF/GPh3EWnA83kMAR8WkXrgr8plnDI3qPQqYyJ7QrZFzjWIgDEQsq2qTC/L0z+coT8xvr93f1+CW7/7Kp09wwBcsLqNmy5fS3N0fJfDfAq0lWLT2g5uhYoFWKckwMaYZ4A3i0gzXuBuoOjpe8thmDJ3uOGS1dxy/yskMrkRkeZKpXHl7WmKBuiJZXDFiy83RoJVl14Gnr+3K5YmkRn/y+ZjO47xdz/YRSrrYgl8+BdX8/6Ny7HGWdXOx0DbZGxa21Exl9OJNOO5Aq9RTiT/dcUYc2uZ7FLmEJVeZZSyJ+t4WRAhW1i1sKHqsiBK+XszOZd/+uEeHvjZEQAWNoS45cr1vGlZ87jnmq+Btmpmqmlo/wrUAW8HvgxcAzxtjPlQec0rjaahKXOZ4bSX3+uO8z96sD/Brd/dwZ5ur9/V+ae28sl3r5twZTufA21lZlbS0N5mjDlbRH5mjPm8iPwd8M3pXFhRlInpG84wMIG/d9trXfzt93eRyDhYAr970So2n79iXJeDto6sbqb6W0n5twkRWQr0AqvKY5KizF8c1+vnMJ6/N5Nz+Zdtr/Odl7wWKQsaQnz2inWcvbxl3HNpoK36KSnAIvJHwI+B+/2+Dn8NPI9XFfflchunKOWg2qry8qRzDl1D6XH9vYcGktz63VfZ3eW5HM49pZVPvWctrXWhMftqoK12mGwFvBy4A1iH10znJ3gpaU9WqvxYUaZDtVXl5Yn7/t7xYjLbd3XzN4+8xrDvcrjubafygV9YOa7LQQNttUVJATbG/AmAiISAjcDbgN8BtorIgDFmfflNVOYDs7UqrVRVXqnX1xtPM5gcO6U4k3PZsr2Tb71wCIC2+hCffs9a3rqyddxraKCt9piqDzgKNAHN/s9hvNaUijJtZnNVWona/4le35+7hnXLmkhmxo49PDKY5NYHdvDaUW/s4oaVLXzqPetoqx/rctBAW+1S0jsvIltF5Md4U4wvxHNBvM8Ys9EY8zuzYaAy95nNkT8rWutIZkcKXrmr38Z7fQEL/s8P94wrvj/e08MNX3ue147GEOC3LjyF23/t7HHFV2e01TaT/dZW4o2V3w0cwptaMVBmm5R5xmyuSmejKm+0u2HXsSGWNEcLzzuuwbaEI4PJEcdlHZd/+1En9z3nuRxa64J86j3rOPeUsS4HDbTNDSbzAV8unkPpLDz/7x8DbxKRPrxA3OdmwUZljjObvSLKXZU3nrshnnboiadZ2BDGcQ2Oa0hlXRY3HRflo0MpvvDAq+w44rkczlnezKevWMfChvCYa2igbe4w6fcW44VlXxaRAbwm7IPAlXgj41WA5zEzFTib7V4R5az9Hy/I11YfpDeeIRywCAUsUlmXnGvYfJ43AvHJ13u57eGdxPzx8R/4hZX89ttOxbbGBtM00Da3mCwP+Ea8le9FQBYvJ/hJ4N/RINy8ZiYDZ9XWK2I6jOdOaa0Lkcq6tNaFOTqUZHFTlM3nrWDDKS1s3d7JPc8cAKA5GuRT71nLeae2jTmvBtrmJpP9Nk8F7gM+bow5Un5zlFphptO5KtmRaiYZ7U5x/Ebvp7TV8/e/fk5hv+5Ymk/c+xIvHx4C4M3LmvjMFetpbxzrctCKtrnLZD7gT8yWIUptUelRLifCbFa+5d0pw+ksIdtiOOOMcDcAPL23j798cAdDvsth83kr+NDFq8a4HDTQNvfR7zPKSVFtTdYnYrYr3zat7eBzruGft+3h8MBxd8P5q9twXMP//fFe/utpz+XQFAlw87vXcsHqBWPOo4G2+YEKsDIupVaN23Z2MZDIsK83QdAWFjV6X48r1cy8lK3FrpJYKkt3LE0q53DjPS9w5+a3zrgIp7IOaxY18rfvO2fE9p54mi9+bwc/OzgIwPolTXz2ynUsaoqMOYcG2uYPKsDKGEqtGoHCc8tbIhwbSnNwIMma9gY+e8X6WffjTrbCzbtKYqkshwdSiEDAEhIZZ8ZXwoPJLH3DmTH9HJ7Z18dfPbiTAb/c+P0bl/Phi1eN8elqoG3+ob9pZQylAmzAiOeaoiESmRyt9eGKTjieKBiYd5V0x9KI4E9AhnBACtV207XbGG9EfDw1soWk4xr+88l93PXUfgzQGAnwZ798JhedvnDMOTTQNj9RAVbGUCrAZgBboLM7TsZxCdkWCxtCFZ1wXCoYmA+KpXIOAcsTXxfDwobIjAQNc47LsVia9Kjy5r7hDF/83g5ePDAAwJmLG/ncletZ3DzS5aCBtvmNftwqYyjVL6ExHODQQIqcX06bcw2HBlI0VOhr82S9HTat7eDWq8+iPhTAcSFgC0ubozRFg9MOGiYzDocGkmPE9/n9/fzefz5bEN9f3bCMOze/ZYz4Bm2LpS0RFd95jAqwMoYbLllN1jEkMjmM8W7zAbaCf9MU/cC4fWwrbWueTWs7uHPzW1naEmVxc4TGSGDc/fJs29nFtVuf4uLbH+farU+xbWfXmH0GE1mODqVw3OOvO+9y+LP7fkZ/Ikt92ObPr17PH779dIKjXAuNkSDLW6Oa5TDPUQFWxpBfNXY0RhhMZulojHDr1WexaW0H8YzDspYIAVtwjCFgC8taIgyP09Wr0raezH75oF5XLDUiqJcXYWMMXbEUvcMjm6f3JzLc/M2f8x8/eQPXwBmLGtjym+dyyZr2Eee3LWFRU4T2xrBmOShTm4pcrehU5Nnn2q1Pjcn/TWRydDRGuPv6Cypo2cxQ6vX954fO59hQikxu5Miglw4M8MXv7aB32Bui+StvWcrv/9JphAIj1zcaaJuTzMpUZEUBZr9xzmxTnLbWHUuTcVyCljCQyHB4IDnC5eAaw3/9dD//8ZN9uAbqQjZ/8q4z2XTmyFWvBtqUiVABVk6IudQ4ZzxWtNaxrzdObzyLiOcyyDgu2ZThyT29nL/aa5QzkMjwVw/t5Jl9/QCc3t7A565az7LW6IjzaUWbUgoVYOWEmSuNc8bjhktWc8Ndz2EwiAHX9zY0RwLc88wBzl/dxs8PDvKF771KT9xzOVx1zhI+uun0MS4HrWhTJkMFWFGK2LS2g4awTTLjeO4H22JhXZj6sM2RwQR3P72frzyxF9d4+cZ//K4zuHTUh5FWtClTRf9CFGUUp7U3cnQoSaTIbRBP50hmXf7tR3sBWN1ez+euXM+KtpF5xBpoU04EFeA5SrlbMM5mi8fZtGcgkeFX37qMOx7fjTEOkaDFYDJLTzxDPv52xZuX8IdvP41w8LhAiwitdUFa6sYOzlSUidA0tDlIcYOa4kyF8fJeq/H8lbDHdb1+DsNpr5/D05193P30fjp74sTSXo5zJGjx8cvO4J3rF404NmhbtDeGiQQ10DYPmZaDX78nzUHKPeZ9NsfIw+SVadO1J5NzOTSQLIgvwLqljdRHAgXxtS3h1LZ6miMjU8kaI0GWtURVfJWTQgV4DnKgP0F0lCDM5LSKcp+/mMkq06Zrz3A6x+GBJFnneHHFjiNDXP+15/jJ670A1IdsTl0QZTiT447Hd/N0Z9+IijZrnOGZijIVVIDnIJM1qKn28xczldXtydrTN5zh2FAK13fDGWP45vMH+dg9L3JsyGtf2VbnrXBtsYgGbQKWcO9zB1jWEtUsB2Xa6F/QHCM/raKzexgRLzgUtIWGcIDPXrF+Rq5RqhpupoNzU5k9N1l13mibfu8XV7F+aTOJzHGXQzyV42++/xo/2t0DwCltdcTTWdrqi4JqAvXhAN2x9LSyHCZ7j6bzHp7osdUWTJ1v6Ap4DpH/ut6fyGBZ4BqvQ5frmulFCkYxUWMbYFJ3wYkyldVtqUY7o10Yx4aSfObbL4+wadexGDfc9VxBfN+5fhFf+sAGVrTWk8p6rgnvg8wi67jTWulP5lKZisvlZM893f2VmadsK2ARWQH8J7AYcIGtxpg7RKQN+AbeyPt9wPuNMf3+MZ8EPgQ4wI3GmEfKZd9cJP91vTeeIyAWoaDgGkPAEpqiwRmZ/pBnvGq4a7c+NaOj6mHqvScmqs4rdmE4riFgW9iO4Z5nDnDeqlbueHQ33/3ZEQxeOPtX37qMj7z9NESEzeet4I7Hd5N2XBpCNqkZ6Hsx2QSPyZ6fzrmnu78y85RzBZwD/tgYsw64APioiKwHbgYeM8asAR7zH+M/txk4C7gc+JKIaGj5BMgHozKOS776VQQyjjsrI+PLEZybahvJyWzKOS45xwXjpZMdHkzwR994ift98Q3aQkdjmJ909vLMXq+/w4WnL+BzV65naXOUoVTuhK9dyp5iit+j6byHJ3rsbAZTlfEp2wrYGHMEOOLfj4nIDmAZ8F5gk7/bV4FtwE3+9nuMMWlgr4jsAc4HniyXjXON/PyzkG2RcwwiYAyEbGtWRsaXa1T9dHpPLG+JcmQwOaIZzlAyx0AiR1fMm1DcGA6wyM9mSGYd7nnmAL+0tp32hjCnLKjn8jcvmZb9xUz2Hk3nPTzRY8v1+1Kmzqz4gEXkVOCtwE+BRb4450U6/5+1DDhQdNhBf9voc10vIs+KyLPd3d1ltbvWyE+HaIwEcDHkXBfXNTRFA2O+Ok9l6sPJXr/UdIqZIm//uV/4Pmf/+SNs/OIPxryOdM7hrKVNHB5M8Xp3nP19wxwaSHDMbzMJ0NEYYnFTmETW4UB/giODSV49MshrR2JlKSee7D2aznt4osfO5u9LGZ+yV8KJSAPwP8BfGGO+KSIDxpiWouf7jTGtIvLPwJPGmLv87V8BHjTG/PdE59ZKuLHko9q7jw2RcQyhgMWajsYR0e1yVrLlr1/OVpV5+zM5p9AEHQMLG0MEbZtbrz6LjavaeOClw9zx2G5yjsNQMku6KJa3rCVKfch77Y7rTbmwEAwG27LoaJq+u6GU/aXeo+m8hyd67Gz8vuY404pvl1WARSQIPAA8Yoz5e3/ba8AmY8wREVkCbDPGnOkH4DDG/JW/3yPAnxtjJnRBqACfHJWaajFTKU95+48Opsg5Bss6Hmxc1BSmrT7MX19zNp/4xkv0DqexBA4Ppsg63t96SzTI1z50Pq8cGuKOx3d744Vc47eNFJa2RLAtmTNTPpSyUp2lyOL9NX8F2JEXX5/7gev8+9cB3ynavllEwiKyClgDPF0u++YzlQi+zGTK00TBxnTOIWhbhddxeDBBOuewvy9J1vFS8dobQoQDQn04wPmr2/j4O9aAwQ/EeVOKGyNBDUYps0I5fcAXAR8ELhWRF/2f9wC3Ae8Ukd3AO/3HGGNeAe4FXgUeBj5qjKnMpMc5zmxWsuWZyf4ReftDtkX+C5zrGoK2RSLjsLgpSjLjuVW6YhlPXC1hRavXs2FJs/c6oyGbXz13Oeee0sYpC+pZ3d5Ao9/rQYNRymxQNgE2xjxhjBFjzNnGmLf4Pw8aY3qNMe8wxqzxb/uKjvkLY8xpxpgzjTEPlcu2aqQcQbGJKA6+DCUz7O6Ksa83wUAiU7brzuSqe3SwMes4uK6hIWyTcw2bzmznD77+PP2JrH8dixVtUQyQcw2bz19BW32IJc1RAralwSilYmglXBUw2xVJ+dzaoCUcHEiCgeUtETKOW7brzuSqO2//qQvqaQzbhAM2jdEgy1rquei0hfzL/7zO/r4EAUu46uwlnNHRSCLjsKA+zCcuO4NfeeuyEX17p5trrCgni/YDrgKmGxQ72eDWbAbj8h8yWcdhMJElmXVBvBzcs5Y2n3BALue4dMXSpHxRT2Ud7nhsN4+8cgyAxU0RPnvlOtYtaSoc0xgJsqA+hGWJ9kBQZorqDMIpU2c6X8+ns3qezWDcprUdXLNhGX3D2UJ/BQtIZhz29cZPaOWdyjocHkgVxPeN3mE+8vXnC+L7ttMWsOWDGwriO7p1pPZAUKoFFeAqYDpfz6cT3JrtYNyTnX0sb40SDdmEbItQwMayhKFkbso2D6WyHBlMkfPHFf/g1WP8wV3Ps683gW0Jf/BLq/nCe88qBNOiIXtM68jZbiivKBOh7SirgKk2nBmPqbRrHI9828p9vQls8b5HOcZbLb73nKUj9pupr+p5WzOOi+3nj+V7VeQcl+f393Px7Y+Pex1jDD3xDLGUF1hLZx3+z+N7ePDlowB0NIa55cr1rF/a5J934hltJ/ueKcpMoyvgKmA6QaCTWcUWKskclwV1QTKOIe0YLAxt9UHue/4Q23Z2zfhX9fHSx4wBW4RDAylEGPc6Ocfl8GCqIL77+xJ89L9eKIjvBavb2PLBcwviG7QtljRHJhyQWYk0PEUZDw3C1RDjrUaBMWXFg8ks7Q1hYunciP3yxw4ls9SHbRY2ROjsjpNzvUqEgC2sbm8oBOKAGQ3STVRCLOL1Ll7WEqXJX5nmr/N/f+c8jg2lcPyRxI/t6OLvf7CLZNbBEvjwL67m/RuXY/kr6uJA22R2VMtQUaWmqd5S5HIznwS4lGgAhXr++pBN73CGpmiwsN9QMosBmv1tO4/GEGBZa5RDA0lsS8CAYwxrFzdhjGHQP6YlGvRLdD3yz/3opktP+nWM7lURS+VY3BSmKXp8xWqMoX84w12/dwHGGDI5l3/+4R6++7MjACxsCHHLlet507JmwHOdLGgI0zDFMUHaA0GZIaYlwOoDrhFKNc+++/oLCuJx7danyLpmxH6H+pMgsKQ5CkA4YJFxXLpjaa91pb8CDvndv4q/js90u8KJGrl3xVKFx8YYYuks7Y0RjDEc7E/w+e++yuvdwwCcf2orn3z3Oprrjgfa2hvCJ9S9bDotLhVlplABrhEmChy9fGiAdZ99iGTWRQDLEpa3REbsl3Pdwip2KJkl5xqyjldB1t4QpD/hzUZb3BAeUwX2J/e9xKGBJI5rsK2Tmy032nVy4eo2nuzsG/H4vucPkcjkiAQsYmnPhs3nrWDba1387fd3kch4LoffvWgVm89fgSVSMtB2smh+sDKbqADXCOM1zz40kCBW1GPR4M2AO9CXZOUCKaRiBSwLxBPfw4NJLATb97v2JbIsaYrQEA4wnHHoaIwURGfbzi7v+5XxVqUYOeHvW8Wuk5ZokH29cZ7e10d7Q4iFDWG6Yinue/4Q12xYxhN7ejnQN8yipijXbFjGU3t7+faLhwFYUB/iM1eu45zlLYAXaGtvDBMJztzQlNG25oOBt4KKsFIW1AdcI4znA+7sGWaiX1/IFs5Y1DjCBxxP53Bdg+MP6wTPgbW8NVrw6RavAIuDdQCxVJajgykMsGFl65RWh6Or7Tq742Qcl5Btsbq9oXBO1xjWL2lm83krWN4W5dYHXmXXsTgA557Syqfes5ZWf6U7lUDbyVCpNp1KTaM+4PnAprUd3AojAkd7e4aZ6OMz4xiODqVY09FYcBnccNdzZB1TOEbwVs0H+pPc+eguzl7eMmIFeHQwRTLjFMb5HB5IAd7xU10djnadZBwXy8/9jaWynn/aP2fvcJrbHtlJKuuQ8l0qv/22U/mNX1iJbQm2JSxsCI8oqphJND9YmW1UgGuI0YGjs//8EYZSuXH3tQTWdDSOWLltWNnKU5293kd2/nPbeHe//MRezlraPCLQVxysAy9dDCOFfaYyQXe06yRkW4UVcNdQyp9bJwQsiKVyDCS9XN/WuiCfvmIdG1a2AicXaDtRdEaaMttoIUYN8+GLV034nIiMWbndcMlqDN6q1xgK7gvbguGMM6I3RCyVJee4ZB3DcMYhlXUwxuBiWNgQBhhRvXbt1qe489FdY1pqjm712BQN4BpoCNukc653TuO5RfLiG7KFf/utjWxY2YqIjGgdWU60LaUy26gA1zA3XnYGK1qjI7YJELC8VeroldumtR1Egxbi72eJ16hcRKgP2YUKsVgq67kbxAvWWeKVKQMsbfaKJYaSWa96DS9XeG9PnDse38O+3viIABYwosrv1AUNXP+Lq1jSXIdlCQYvGJgfF9QUCbBucRNt9aFJK9pmGm1Lqcw2GoSrcbbt7OJP73uJ/kSWfEzKNdBSF+RvrzlnjHh8/J7n+daLXjGD+D0gRISPXXp6wQfcNeQFxQTBxbC0OcpQKsNAIodlQdjPHXaNF8ADrzzYNZ5Yr2yrozESHBPAcl1DTzxNPJ0j57jc+sAOntjTA4At0FYfImBbfOzSNbxj/aKyBNoUZYbRdpTzmU1rO/iba85hTUcD4ufGnt5eP674btvZxXP7B2mrC3oBON8NcfXZi7nxsjMKK8C8myJgC0ubo4hAPOUgQCRgk3EMGcfQ5hdCHB5I4eZHAxnvcSyVHRHAyuRcDg0kiadzHBtK8UffeLEgvvUhm7b6EMta6vj4O9Zw1VuWFlpHKspcRoNwc4B8cG7bzi5uf3gnnT3D3HDXc6xaUMfN715XEOJ8Nd2y1jqWebEtEpkcR4cyI861YWXrmNQxxAuErW5vAGB3V4yhVI7hjIP4bor8ClgEumNpbMtzgyQyObqG0rjG8FRnL7c9tLMQPPzAL6zkt992KrYlRII2HY3lDbTVEloUMvfRv/Q5Qt4VsbsrjjEGYwx7uof5k/teKnQVm2oD9tHBqFTOK/bIB98AFjWGybqu/5wp/CF5TXG8Y7KO4QPnr+ToYIpMzmHr9k4+9a2XGUrlaI4Gue1X38yHLl5FwLZoqw+xtKX8gbZaQZvGzw/0r32OsGV7J7FUzs+XtbwfEeLpXKHR+FTbMI4ORtWHAiyoDxU6lQEEbIs17Q3UhwI4LoSDtj/y3cJxoS5o8/HL1rB+WRPdsTSfuPcl7nnmAABvXtbE1g+ey/mr2mY90FYraNP4+YG6IKqAib5q3vnoLr78xF7i6RwiQtCCUMDGGOM9toUzFjVxwyWrOdCfIOe6BGyLdNbBzZ/cgZcP9QPjN34fTGYJ2daYRujFOcf51djohvH5Ao/RFXqZnMuNl67hnBUtPLOvj798cCeDforZ5vNW8KGLV2FbUraKtrmAFoXMDzQLosJM1Gby3JXN3P+zo4DBccceZ4nfgrE+RChgUx+y2dszTCbnMs7ufOKyNdx42Rkj2jCO17pyor64pdo3Fj+3pDnKr21YxoZTWvmPn+zj6z/dD3jpZTe/ey0XrF5wwq0j5yNaFl0zaD/gWib/j+a4hu5YujCuJ+O42JbguMbLVhh1nJfDaxGwhcXNEYKW0DucoTueGXMN2/Iq0N6yonXEKnvL9s4J/8nzz59IAKhvOMNAIkNPPM0Xv7eDnx0cBGD9kkY+e+V6FjVFCoG2L/1wD19+Yi/DGYf6kM2HL17FjZedMe33c64ErrRpfM2gAlzLXHz749gCRwbTXl6uePmyGccQtCDnAsKYpjuCVyrsGMOZixoZTGZ537nL+ftHd4+5hgW4wGnt9SP+mYfTWZY0R8c0XD86lCr4HKfyz5//8EhkcjzruxzyVW3vO3c5v/eLqwgG7ELryDsf3cUdj+/BKsqecA187NLTpyXCc020tGl8TaDNeGqZFa11vLC/30/l8gdVAmDIup5AjfcZKf72kG0VAmlPdvYVBK2gqcYTX4ExzdyzjiGZdcb0PsjkXJqj4zd/Hy0A6ZxD11CaVNbha0++wdeeegMDNIQD3HT5mVx0+sIxrSO//MReLPHbZOK9xpzr8uUn9k5LgEs1ra9F4dKm8XMfFeAKURjN0xUjlTvutfUq047v507wBcU1kHZcHCO80TtM11CKeMYp+CpGi3Z7w8gsg2jQJhSwCulmxSvG/Apy9P6jA0AP/fxIYYWWyrrE015u74rWKA3hAP/0wz18+4XDfPTtp7Gi7XimxXDGIWB5vSQc47lYEK8Zz3QoZ+Bqrrg2lOpC09AqQHGOZ31obEPxiUQ3aDGil4NAoSR4OOMUfMXFv1RLIGwLjaOEKZl1WNPROG7vgzMWNU2arnb/i4e49YFXOdSfoD+RLYjv+sWNZB2X4UyOtroQA8kMf/7dV0fkr9aHbG8ih297vjlQ/r05Wco17VhzcpVyoQJcAW57aAddsRT7+xIc6E+O+CUUa2/AEooztLzuDF76WcAWRLx98iXF+ZluBq+jWCRosby1jo++/XSGkll2H4vx6uFBXj40yN6eYfqHvTaTN1yymuWtdew6NsSN97zAK4cHOdifpDuWGtMVzHEN33zuIDf/9884OpiiO57BcQ2WeFMr3uhLEA54HxL7+xLs70vQNZTi9od3Ap6YNYXtwodM/oMEwLK8nsX5TmonSrm6mWlOrlIu1AUxy2zb2cXu7ji2CLYI2RJB0JxrRnj4c64h53orvJAt3urRHG+wbltCCCHreC0exUhharLhjULbx/w5B5JZ/vS+l7y+D5Yc7y1soDESoD/htaRc4+caX3j6Ar753EH+5vuvkciOTHZb2BCiORrk9W4vCyMfVLQtwXUNu7ri3PnoLu57/hDhUABL0oXVb74zmy2Ca8xJjwIar2n9TLgKNCdXKRcqwLPMlu2dBC3LEx6RQtAMGNHNLM9E8pzzV52maCWJf866kMXi5ggdjRE2re3g2q1P0RwNksw4iBgs8UQxlsp5o4l88bMQLMsTwXTOZXlrtJB3mm9RuWV7Jz3xdMEOS7yvUbFUjvpwgIZwgGND6TFBxaDtBd/aG8PUhQJEgzY5/9Mg67gEbQsMJ9TsfTzKEbjSRu1KuVABPgEmCsQUb8d16UvmSOdc6kM271jbztGhTOGY3V0xFjWFOTKYxsUQsISM3wvXNVPPaXGN18Ixvw41UPB/GlsYTGYLlWr5FVw+txi8QF/GcQtVdQ4GW44/l8w6dHYP83r3MG/63MNc89Zl2AGLPd3enLb8qtWyBMGQybk4rtck/o7Hd2OLFHy7LoaljREODqRY6Qf3FjaEOTyYRPwUtPxKPj9/rppWmONVEGqjdmUmUAGeIhNNzL3m4AD3PX+IoC2kszm6417+a9CC4UyOb714hJZogOX+KiqWyhG0haUtEbpjaZLZsXVrxatiOC52zqjl8OjHxRQLeX4FF/L7+BansBWvgHOO91w25464fjLj8B9P7S88DtrCsuYoWdelfzhD2jHUhwOFfNsHf36EfX0JHNcQsi0WNkQI2F7T93zaW76vxLFYCnEMliUsaowUtlfTCrNcrg1F0UKMKTJRaWh3LE1dyCbmt2aciI6GEIuao3THUvQnsrTVBxlMZAu+VMv/yu4aU1gJN4Zt6iMBemIZshOlRuAXZLimcKwl3pSKnGtoigZp8EuOA7bQE8vgjlPebOejYaa0sDeGA8TTOUK2sKgpTDBgjyl2GF0Q0RNP05/IEg5YpHMurXVBFjaECyvJazYsK3yITbUketexIbKOIRSwWNPRqIKoVAotxJgNJgrExNM5klkHa5LfQ5dfItzRFGE4naNvOIvjB9ks8VwIjmtGBKXCQZvmSJCsY+gZp8Q4T9ZxC6IteKvnPn9Cxso2LzXLAC3REMNpZ9x8W8fvwj7ZX1NLXZDmaICe4QyHBtOc0dHAZ69YO0L8ileMu48NEUs7tNUHWVAfpnc4Td/wyODeprUdnL28ZdIVZl7YMzmnEDBMZhz29cZPKminKJVGBXiKTBSIyZfxWpbAxAtgAHqGMzRGg4gIy1sj1IUCdHbHyTmGjOstSaNBG9c1BGyhKRqktT7Mwx//JU771IOeu2AcCpvzc+aLyKdNAbTUhWipC/HCgX7SWdcPBB4/xgChgJDOjX8dAZqiQSwRWuvDJDI5WupC44pePhg2+pvDwgbvdY9uKjOV4Fk+Haw3nhsRMBxK5ljcHKjZijdl/qICPAGjA26Lm0I8v7+fnOsSti2a64IEbZu6oEUq6+Iagz2On7YY18BgMosxhgO9w2TdsVkOrpufPBwZEYiaiqto9C6ugZ1Hh3w/bIiD/QkSmRypIr/z6GMyOTPGB51nQX2gkNkwlMxydCjF693DnPmZh8ZM38gzkylcI4KJRQHDjONWVdBOUaaKFmKMw+jKp329ce7/2VGiQaswE61vOMs1G5bxpmUtLGwMeUUTU+hrm3VchtMOmXHEF47PYWuKBkcEokq1bsynguVbVBZS0jgeXDs0kMK47vFc3wnITykeff7lzWGa67yJGEPJLAcHkqT9Eurxpm/kmcnqtPy5QrZV+OAY3Q9DUWoJFeBxGF35NJTMYQmFlWN+mvBDLx/lhktWE7RtFjdHaImW/kJh+f0OiuNfxZVgQb+1ZGMkQLdfKffsvj5O++T3Sgrn0uYIy9vqWLWwnnWLGwnaUrhexnFJOy4519A9nMWdwkpagPaGIGHby1Ne2hwBEfb1JtjdFePoYLLgDgnZ40/fyDOT1Wn5czVGArgYcq6L6xqaogFNC1NqEhXgcRg9Oy3juGAMqZwnZLbve9zV5eXE3nr1WaQzx1PQJiLfdrGYvB/WFmiOBulojHB0MEnvcAbXNTh+9dp4BAROafPaSRb3dBARmiOBwvW8zmOQ9nN1SxENWlhA73AWsYQF9UGODqU5OpSmrS4ABtJOXnxlRF6x45oxboDR443y/SZOxlebP9eqhQ00R7xijua6IKcuaKjZlpPK/EZ9wOMwOuAWsq2i6b8jq7u2bO/k7usvYCjtELS9MuBS5GNe+VtLIGh7ORRrOhq5+/oLuHbrU7ywvx/LlsLX/NFYAuuWNhcaqBcHsfLHhwJWwV7XNeTGnZVxnEWNYcJBi/7hDB1Nx4OEtp+mkci4rFnUyO5jMTKOO6qPMIUpyKOZyeo0bdGozCXKtgIWkX8XkS4RebloW5uI/EBEdvu3rUXPfVJE9ojIayLyy+WyayqM/trc5LsWLLwWismsQ9pxSWVdnt3Xx7adXQxnHH+lWdoPnH86L9Ou8VaOjZEAF65u49qtT/H0vj5SObdk4M01TPh1/oZLVpN13cJ05HxgrxTtDUEiIc+3GgpYhW8AntAeD3YBLGryfMGOa8jkHFL+++G4hgtXt014jW07u7h261NcfPvjJ91wR/HQ93JuULZCDBG5BIgD/2mMeZO/7a+BPmPMbSJyM9BqjLlJRNYDdwPnA0uBR4EzjDElE7vKWYgxehrBgd44XfFMoWw4j+A1ohnOOKRzXkvIEjUT42WKsbAhRCRgcWQoTdD2uptNtPItrKAFLli1oCC+tz+8k86eYQBWLagjnsrSk8gWVaOFOTqYJOeYMdly4YCwsCHMyrb6MaOKOrvj5PyuOQFbWN3eQCKTI2RbxFJZDg6kvHPYQltDiKBtT1hAMZemVVQSfS+riuosxDDGbBeRU0dtfi+wyb//VWAbcJO//R5jTBrYKyJ78MT4yXLZNxGj08++8N43Ffo93HDXc4yWTwF6hzPjzm3LE7S9TAQz5miPnnjmeEGGK2Rdd8JUMMvv2J4f37NtZxc33v08sbRTOPfOY3FsgbqQzbKWKJGAJ5aWJTj+B4jgFVVEAhZf/JU38471i0ZcJ9/7YGFDiEO+yC5uCBdW3e89ZzFffmIvtgWRgE17Y5jGSHDCJjpzbVpFJdH3cu4w2z7gRcaYIwDGmCMikv9rWQY8VbTfQX/bGETkeuB6gJUrV86YYdt2dnH7wzvZ1RUnaAuLGsNj2iI2hG0yObfgu82P+8kr33irW6DQLzffCnK8ffLpXwZv2GZ2gmhZOGjz+5esLozuue2hHQylx35RcAykci4BgZ54mnTOjOg7YVuwsD7Ep69YP+afdnTvgzUdDRhjGM44dDRGuHB1G/c9f4hExiFgCTnXcHggxdIWL12uOBCX/0B7el8fkYC3Es/3e5grubuzPS1D22POHaolCDfeMn7cBaUxZiuwFTwXxExcvJD3O5TCFjAuHB5MsbQ5Wmi8vWltB2csauKFA/0YP4c3M0okJzTGHC+Sm8zgnOuO6HI2mmzO5cnOPs7e2cWmtR3s7Z34n87xh8MFbJtjsSQAdUGbpc0RHEwhm6H4fRjtysh/Ayjm2q1PEbSFcMAi5zfScfEGc6ZzDsNph4tvf7zQg6Ip6qW0ZRyXw4OeHaPznEtRzeOAJmrSVM6yaG2POXeY7TS0YyKyBMC/zUcODgIrivZbDhyeLaPyX+kc44mJZXm9cXvi6RErixsuWU1DOEDOdceIbymmvqe3Cp7A/QtA1jXs7Ylzw13PsfGLPyhphyXw2rE4hwaSCNBaF2RFW5RIyKYhHBwx1WHbzi7+9L6X2N0VLwTv8sUVdz66a0TAZ9exIaJBm4UNYVy8IB8YUlmHrliGupDtFbD0eeOKHNfQ0RQhXyLSE09POR+42scBVWJaRrkmfyizz2wL8P3Adf7964DvFG3fLCJhEVkFrAGeni2j8nm/xRVW+ah/TzzNYDLLxbc/zpbtnfzWBacQCox926blifcxo24noieewTWGRDpHsETWRV7IF9SHaKsPsrgpQihgF9LHokGb3V0xrt36FDfc9Zznixa8wgq/uGIomeWft70+QgDjaYeeeJqmaJClzVECtnj5xSK0N4Rob4x4PYZ910t3LE1jJMjSlghBS0jlXIKW157yM995uWQUv9rHAY3OGYfyuwNmMrdaqSxlc0GIyN14AbeFInIQ+BxwG3CviHwI2A+8D8AY84qI3Au8CuSAj06WATGT5L/StTeGOTyQwsVbAWIM3fEMHY2hgvjc9/wh6kI2p7U3EEvleKPP79UwW8biTcMI2ULWNSxriXKgLzFhsUbIFv/rcYiM4xKwj3949A6niaVydMVSuH5D9JxjEAyO6xad07CvZ5jlrXU0RYO01QfpG85SHw7QGAkQ8POfh9NZFjaEi67t+bLzq/TGSNAbm+TnVU/la3u1+zsr5Q7QfOi5QdlWwMaYa40xS4wxQWPMcmPMV4wxvcaYdxhj1vi3fUX7/4Ux5jRjzJnGmIfKZdd45L/S2ZawpDmMAI4xBG2bjsYQCxuOr+i6hlL0JbLs6Y6TyExvjPp0yDpeelljJMjy1ihBC+qCI3+dXi8I7348neNgf5JXjwzyeleMnniKvuEsrXVB6kIBQvbxhpoZxx23+fv+vgS7jg7RHUvjuoagJSWnKS9sCPuTO2TEV2VjzJRXteWadDxTqDtAmQ5aiszIr3SugbeubOUrv3UebQ0hFtR7K7pjg0ne6E34BRKQybp0l+jRW24Mxxv0GKAhEhwxKDMg+cGdQnc8zaGBFK11wUIzoZ54hmzOpXc4Q2d3nLqQjWVJyZW8ATKuN1POtoVE1uUL730Td19/AZvWdowRo4AttNQFWbWwfoRQxzPOmK/tOcfl+f39YwoLql3g1B2gTAediFGCfC/bnGPY35eYVTfDVAhZsKAhTJc/Gh6Or3iDtlXw9SazXpXeWUubAbwCiv4krvFm0gleFkNLNMhgMjum2GQ0Qb9jW8CWMX19RxewjJexMLpHcN6egC2c3t4wprBgKudUlApRnYUYtcjodKd8vmtXLFV14guQceHI0PEJxbZFodmO5fcnLm7b2Nkd99wL/iQOT6C91m5iIJbOsbg5ysH+xITVfF53NK9dpjHjN9+ZTBxHD7k8OugVeizyg3ejCwvy58v/bvKuChVhpdZRF4RPcbqTLfDCgX7ueHzPmAbm1UxBfMULpmVybqGgw+CVN9siXv8J47kplrZECPjd3YzxOru995wl455f8Hyy0x2cOfpruwGWtRwfyAkjA23VnoqmKCeLroB9bntoB12xlFfp5nf2wpSexVZNFHdZc4tWvcXk/LSwQjWeCI2RYKGEeGRXtef59otHCiv/pkiAUMAiYHsBtemOZh/dva0rlhrxfLG4b9neSdZx6I3nyDguIduiKaojiJTaZ94LcL76a+ex+Igy4Ynmr1UjxU6o0VbnX1O+ui7rGMIBLz3Mcc2EYvoPmzfwD5tHnmsiX+x0K9VGuyRG27O7K8ZgwutlYfulzz2xDFkndiJvk6JUHfNagItLkGGkeNWO/Ja2Nd+rwTUQDnrj69csaqQnnmI47TCYzJacQjxaWIsDbvl9pluKO7r3xGh7MjkXinsxC7jiuVgUpZaZ1wJcXIIc8osJakl4p0LWD7gZKExCfuXwIK7xpl+MzrHNM1VhnanOXKWCd0FbSGa9pvJSFFgM2dMKQCtKxZnXApyvsgrZFjnXKw44kR4PtcLoEue8dyWdc8k5Wfb1xseIaylhzT9/oD9BdyzN4qbj1W8w85VqZyxqYm9PnFjquA+4MRJk1cKGGbuGolSCeS3Ao0uQpYYWVPn+wR1NYQYSWdI5t2QjeDg+/ijrHN/Xsryho4ubRwa1dnfFSKRzZF1TGAGfc132+4M5m6NBWqJBevwiD/EDejDzlWp5H/Hi5sC4PmJFqVXmdRraDZesZiiZ5ehgiqzjTjiFohoxeOKbdYzXHGgS8Q0HvPQzGZUbnG86NDrtK5bKFdwXqZxLyn9vHGMYSGS9nhEiLGqMAHB0MFW2SjWtNlPmKvN6BQyebmWdySamVRfHMxuEwUyOTM4lFLAKIjkeOX/JW5zTnG++Ew5YY9K+WuuC9A5nRgwZdVz8waQUuqF5ubuGo0PpkgG96aLNZ5S5yLwW4C3bO/3R75W25MTIm3toIOUNArWlILATMZFrO+canIzDUDLLZ69YD3i+8YUNYcIBm/1+t7d818to0B7R4QwgYFtsWNk6JkNCUZTSzGsXxIH+BH2JbKXNOCnyq2DX5H9O/lPEAKmibIh8B7KmaJC6kE3Ytgja3qTk9ka/w5klVdkcR1FqiXm9Am4M1+7Lz8utCCPcBCfLcMbhhrueY8PK1qKZb0VDOQ0sbgpjW0JrXZAF9aGyuhwUZT5Quwo0Tbbt7KI7np58xypnpgr2vFFIptB0/poNy3iys4+D/QlOb69HRIinvXLlz44zyFNRlBNn3grwlu2dBEqM85mPuK7B8fOhn+zsU5+uopSZeesD3nVsiKNDtb8Cnklsy5vfVk0jfxRlLjNvBXhguDaDb9NhsgV/wLbIOG5VjfxRlLnMvBTgbTu7mLWJn1WETFLq5/pVb5rVoCizw7zzAW/b2cWf3vdSpc2YdQKWtwIu9cHjGDitvZ6bLl+rQTZFmQXmnQBv2d5JX6I2mqyfCPUhm8ZIgP5Elrb6ID3xDLY/783r/WDIJ6/ZFgTEwjWGbFEaxRoVX0WZVeadC+KVw4MTVoXVMhnH9fo35FwGE1lCtlXo+RDwG5m3N4b9AgrIui45v9eDJZ6AZ12jo34UZRaZdwI8nJmb3l9bhJzfzziZdWlvDGP8CjnXeELbFcvQFLGxxRNk8Ao5bEtY2BCmLhQgaEuh5aSiKOVl3glwLY0aOhFEBMuSQonygf4EgjdyyDHGWwE3hFjeWs+y1qi3QvaPzU85hpnv5asoysTMOwGeq6RzDsmsQ967EgnYOMYT5o9duoYFDWHCAYvO7jiHBpIAhG3BEhkxjVhT0BRl9phXQbg7H91VaRPKRvHCXoCFDWGaot604yc7+2gMB9jdFcf2/cGprFPoAvfK4UEW1AexLYv+RJbBZJZrtz415R4P0x3KqSjzlXmzAt62s4s7H99daTPKxujJyG/0JXjl8CBDyQwH+xOYQhd2yObcES04XQPd8SxdsTRt9UEWN0UKM+AmC8gVBpvGUiNmx2kgT1EmZ94I8JbtndTQwIsTZjzPdl5YjTHEMw7LWiIEbBkhvoLn982zsCGCiEw5IFc8O+5EjlMUZR4J8O6uWKVNqBh9w1lWtNaNO3JJ5Hhg0jXQ2R0nlvLKtKcSkDvQnxgh4PkRT0/v6+ParU/pSlhRSjBvBDiRnpvpZ1MhkXVY3BSiO54ZO/XZeCOZ8qRzDm/0Jnj1yBB7uuPUh2xKkW/eDp74Hh5MknFcwraoO0JRJmHeCHDGmb8CbAk8+PIxmiMBQrY1oimPy0j3Rc71HjuuIecYeoczBQHdtrOLa7c+xcW3P15Y3d5wyWqyjjcZo8fvrywIHU0RdUcoyiTMGwG2rbn7UifratwQsnFcQyrrsLq9gbOWNrOoMVw4zhJobwgRDliIfz4Blrd6+cFbtndOGGwDChOLUzmXoCUsbYkURtRrXrGiTMzcVaXRmLkZgbOAUMAq2WrSMRAOWKSLXA0dTRFWt9fTFAmwamE9i5ujuMabkBwKWNSFbBojwYKAlgq2bVrbwd3XX8D5p7axpCVaEF/QvGJFKcW8EeA56wIWcF13zCo4v4oNWkLGcWmMBAhYFolMbsQwzQ9fvKrgQgjZFo4xGAPtjWHguICODrbB2NVtsTtCB3YqyuTMGwGeiwRtYVFTmGgowNKWKHUhm6DlNd/J+3Wz/pihnGv46KbT6GiMMJjM0tEY4darz+LGy84ouBCiQQtLhAUNQRrCgRECWhxsyzN6dbtpbUfhXMXX0KIMRRmfeVUJN5ew8Ho4eCvbLD+66dKCnzbrOHQNpQv5vrZ4q+Gzl7dw42VnjDnXprUdBZHMV7Ud7E+MmXh8y/2vkMjkiAZtklln3NVt8bkURSmNCnANkG+wk8cSL/0rX2qcX4VuWtvBrcCN97yAiFAftEaUJOf9taWYSEDz555InBVFOXFUgGsMS2BRU5jGSGBcH+umtR00RYOsbKsbMYJoJrIRdHWrKDOL+oArSNAS7FHRM8FzGQQsoaMhRCRw/FdUF7L5o3es4dQFDSV9rFPx1yqKUnmqToBF5HIReU1E9ojIzTNxzsv/YdtMnGbGyboG18D/essSPnHZGsIBr0evYyDnB85O72igtS6IAMmMw5ef2MuFq9v40U2Xcvf1F4y7ItVsBEWpDarKBSEiNvDPwDuBg8AzInK/MebV6Zx357HhmTCvbDy2o4uce2xMr4a+RJbhjEM652KJl/WQzDrc8fgegHEDaqD+WkWpFapKgIHzgT3GmE4AEbkHeC8wLQGuduIZB9f4FW2+S8L4j9M5l6AtBPxKPksg57p8+Ym9EwowqL9WUWqBanNBLAMOFD0+6G8rICLXi8izIvJsd3f3rBpXDgwjm6mPfg4YU+Vmydydbaco84lqE+DxCmpHyJMxZqsxZqMxZmN7e/ssmVU+8lOJJ3oOxgq0a5i0S5miKNVPtQnwQWBF0ePlwOEK2TIrCF6znLqgF4AzhsI4eYALV7XiGs/t4BrXv4UPX7yqUiYrijJDVJsAPwOsEZFVIhICNgP3T/ek+267YtqGTZd8bwbLr0oTgYAFZyxq4M5rN/ClD5zLitZoYdUbDVp8/LI13H3D2/jYpacTDdrkXC+f92OXnl7S/6soSm0gxkzggKwQIvIe4B8BG/h3Y8xfTLTvxo0bzbPPPjtbpimKooxmsm6wJam2LAiMMQ8CD1baDkVRlHJTbS4IRVGUeYMKsKIoSoVQAVYURakQKsCKoigVQgVYURSlQqgAK4qiVAgVYEVRlAqhAqwoilIhqq4S7kQQkW7gjRM8bCHQUwZzykmt2Vxr9kLt2az2lp+p2NxjjLn8ZC9Q0wJ8MojIs8aYjZW240SoNZtrzV6oPZvV3vIzGzarC0JRFKVCqAAriqJUiPkowFsrbcBJUGs215q9UHs2q73lp+w2zzsfsKIoSrUwH1fAiqIoVYEKsKIoSoWYVwIsIpeLyGsiskdEbp7la68QkR+KyA4ReUVEPuZvbxORH4jIbv+2teiYT/q2viYiv1y0/VwR+bn/3J0iIv72sIh8w9/+UxE5dQbstkXkBRF5oNrtFZEWEblPRHb67/OF1Wyvf86P+38PL4vI3SISqSabReTfRaRLRF4u2jYr9onIdf41dovIddO0+W/8v4ufici3RKSlKmw2xsyLH7wRR68Dq4EQ8BKwfhavvwTY4N9vBHYB64G/Bm72t98M3O7fX+/bGAZW+bbb/nNPAxfijUN5CHi3v/0jwL/69zcD35gBuz8B/BfwgP+4au0Fvgp82L8fAlqq3N5lwF4g6j++F/jtarIZuATYALxctK3s9gFtQKd/2+rfb52Gze8CAv7926vF5ooL42z9+G/kI0WPPwl8soL2fAd4J/AasMTftgR4bTz7gEf817AE2Fm0/VpgS/E+/v0AXhWPTMPG5cBjwKUcF+CqtBdowhMzGbW9Ku31z7EMOOD/wwaAB3yhqCqbgVMZKWZlt694H/+5LcC1J2vzqOf+F/D1arB5Prkg8n/seQ7622Yd/yvLW4GfAouMMUcA/NsOf7eJ7F3m3x+9fcQxxpgcMAgsmIap/wj8GeAWbatWe1cD3cD/9V0mXxaR+iq2F2PMIeBvgf3AEWDQGPP9arbZZzbsK+f/6+/irWgrbvN8EuDxppfOeg6eiDQA/w38kTFmqNSu42wzJbaXOuaEEZErgS5jzHNTPWSCa8+KvXgrkQ3Avxhj3goM4309nohK24vvO30v3lffpUC9iPxmqUMmuP6s2TwJM2lfWewWkU8DOeDr07j+jNk8nwT4ILCi6PFy4PBsGiAiQTzx/box5pv+5mMissR/fgnQ5W+fyN6D/v3R20ccIyIBoBnoO0lzLwKuFpF9wD3ApSJyVxXbexA4aIz5qf/4PjxBrlZ7AS4D9hpjuo0xWeCbwNuq3GZmyb4Z/3/1g2JXAh8wvo+g0jbPJwF+BlgjIqtEJITnPL9/ti7uR1C/Auwwxvx90VP3A/lo6XV4vuH89s1+xHUVsAZ42v/KFxORC/xz/taoY/LnugZ4vOgP7YQwxnzSGLPcGHMq3nv1uDHmN6vY3qPAARE509/0DuDVarXXZz9wgYjU+dd6B7Cjym0efc5y2fcI8C4RafW/KbzL33ZSiMjlwE3A1caYxKjXUjmbTyZ4UKs/wHvwsg9eBz49y9e+GO/ryM+AF/2f9+D5jh4Ddvu3bUXHfNq39TX8CKy/fSPwsv/cP3G8ojEC/D9gD14Ed/UM2b6J40G4qrUXeAvwrP8efxsvEl219vrn/Dyw07/e1/Ci8VVjM3A3nn86i7fC+9Bs2Yfnq93j//zONG3eg+effdH/+ddqsFlLkRVFUSrEfHJBKIqiVBUqwIqiKBVCBVhRFKVCqAAriqJUCBVgRVGUCqECrMwJRGRbcScrf9sficiXSuxfU0MilbmHCrAyV7gbr2CkmM3+dkWpSlSAlbnCfcCVIhKGQsOjpcBviMiz4vXc/fx4B4pIvOj+NSLyH/79dhH5bxF5xv+5qOyvQplXqAArcwJjTC9eVdLl/qbNwDfwKh43AmcDvyQiZ5/Aae8A/sEYcx7wa8CXZ9BkRSFQaQMUZQbJuyG+49/+LvB+Ebke7299CV4D7p9N8XyXAev9QQgATSLSaIyJzajVyrxFBViZS3wb+HsR2QBEgX7gT4DzjDH9vmshMs5xxfX4xc9beI23k+UxV5nvqAtCmTMYY+LANuDf8VbDTXh9gQdFZBHw7gkOPSYi60TEwpuWkOf7wB/mH4jIW8pgtjKPUQFW5hp3A+cA9xhjXgJeAF7BE+UfT3DMzXjjgB7H66KV50Zgoz/I8VXg98tmtTIv0W5oiqIoFUJXwIqiKBVCBVhRFKVCqAAriqJUCBVgRVGUCqECrCiKUiFUgBVFUSqECrCiKEqF+P9SgQEiQF7WpgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lmplot(x='Value',y='Wage',data=df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41b30154",
   "metadata": {},
   "source": [
    "# 8. Clubs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "fcf3c7c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "FC Barcelona           33\n",
       "Eintracht Frankfurt    33\n",
       "Southampton            33\n",
       "Manchester City        33\n",
       "Manchester United      33\n",
       "Name: Club, dtype: int64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Club'].value_counts().sort_values(ascending=False).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f79dd7ac",
   "metadata": {},
   "source": [
    "Lastly, we will take a look at the top 5 clubs with most players."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "eca529f3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize=(6,6))\n",
    "size = df['Club'].value_counts().sort_values(ascending=False).head(5)\n",
    "\n",
    "def value(val):\n",
    "    x = np.round(val/100.*size.sum())\n",
    "    return x\n",
    "\n",
    "\n",
    "plt.pie(size,labels=size.index,autopct=value,explode=[0,0,0,0.05,0.2])\n",
    "plt.title(\"Club Members\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a0870c03",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
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