Muthu EDA Project.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "cosmetic-graduate",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import scipy.stats as sci\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "refined-theory",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>Photo</th>\n",
       "      <th>Nationality</th>\n",
       "      <th>Flag</th>\n",
       "      <th>Overall</th>\n",
       "      <th>Potential</th>\n",
       "      <th>Club</th>\n",
       "      <th>Club Logo</th>\n",
       "      <th>...</th>\n",
       "      <th>Composure</th>\n",
       "      <th>Marking</th>\n",
       "      <th>StandingTackle</th>\n",
       "      <th>SlidingTackle</th>\n",
       "      <th>GKDiving</th>\n",
       "      <th>GKHandling</th>\n",
       "      <th>GKKicking</th>\n",
       "      <th>GKPositioning</th>\n",
       "      <th>GKReflexes</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>https://cdn.sofifa.org/players/4/19/158023.png</td>\n",
       "      <td>Argentina</td>\n",
       "      <td>https://cdn.sofifa.org/flags/52.png</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>FC Barcelona</td>\n",
       "      <td>https://cdn.sofifa.org/teams/2/light/241.png</td>\n",
       "      <td>...</td>\n",
       "      <td>96.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>€226.5M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20801</td>\n",
       "      <td>Cristiano Ronaldo</td>\n",
       "      <td>33</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/20801.png</td>\n",
       "      <td>Portugal</td>\n",
       "      <td>https://cdn.sofifa.org/flags/38.png</td>\n",
       "      <td>94</td>\n",
       "      <td>94</td>\n",
       "      <td>Juventus</td>\n",
       "      <td>https://cdn.sofifa.org/teams/2/light/45.png</td>\n",
       "      <td>...</td>\n",
       "      <td>95.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>€127.1M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>190871</td>\n",
       "      <td>Neymar Jr</td>\n",
       "      <td>26</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/190871.png</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>https://cdn.sofifa.org/flags/54.png</td>\n",
       "      <td>92</td>\n",
       "      <td>93</td>\n",
       "      <td>Paris Saint-Germain</td>\n",
       "      <td>https://cdn.sofifa.org/teams/2/light/73.png</td>\n",
       "      <td>...</td>\n",
       "      <td>94.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>€228.1M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>193080</td>\n",
       "      <td>De Gea</td>\n",
       "      <td>27</td>\n",
       "      <td>https://cdn.sofifa.org/players/4/19/193080.png</td>\n",
       "      <td>Spain</td>\n",
       "      <td>https://cdn.sofifa.org/flags/45.png</td>\n",
       "      <td>91</td>\n",
       "      <td>93</td>\n",
       "      <td>Manchester United</td>\n",
       "      <td>https://cdn.sofifa.org/teams/2/light/11.png</td>\n",
       "      <td>...</td>\n",
       "      <td>68.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>€138.6M</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>https://cdn.sofifa.org/players/4/19/192985.png</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>https://cdn.sofifa.org/flags/7.png</td>\n",
       "      <td>91</td>\n",
       "      <td>92</td>\n",
       "      <td>Manchester City</td>\n",
       "      <td>https://cdn.sofifa.org/teams/2/light/10.png</td>\n",
       "      <td>...</td>\n",
       "      <td>88.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>€196.4M</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 60 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       ID               Name  Age  \\\n",
       "0  158023           L. Messi   31   \n",
       "1   20801  Cristiano Ronaldo   33   \n",
       "2  190871          Neymar Jr   26   \n",
       "3  193080             De Gea   27   \n",
       "4  192985       K. De Bruyne   27   \n",
       "\n",
       "                                            Photo Nationality  \\\n",
       "0  https://cdn.sofifa.org/players/4/19/158023.png   Argentina   \n",
       "1   https://cdn.sofifa.org/players/4/19/20801.png    Portugal   \n",
       "2  https://cdn.sofifa.org/players/4/19/190871.png      Brazil   \n",
       "3  https://cdn.sofifa.org/players/4/19/193080.png       Spain   \n",
       "4  https://cdn.sofifa.org/players/4/19/192985.png     Belgium   \n",
       "\n",
       "                                  Flag  Overall  Potential  \\\n",
       "0  https://cdn.sofifa.org/flags/52.png       94         94   \n",
       "1  https://cdn.sofifa.org/flags/38.png       94         94   \n",
       "2  https://cdn.sofifa.org/flags/54.png       92         93   \n",
       "3  https://cdn.sofifa.org/flags/45.png       91         93   \n",
       "4   https://cdn.sofifa.org/flags/7.png       91         92   \n",
       "\n",
       "                  Club                                     Club Logo  ...  \\\n",
       "0         FC Barcelona  https://cdn.sofifa.org/teams/2/light/241.png  ...   \n",
       "1             Juventus   https://cdn.sofifa.org/teams/2/light/45.png  ...   \n",
       "2  Paris Saint-Germain   https://cdn.sofifa.org/teams/2/light/73.png  ...   \n",
       "3    Manchester United   https://cdn.sofifa.org/teams/2/light/11.png  ...   \n",
       "4      Manchester City   https://cdn.sofifa.org/teams/2/light/10.png  ...   \n",
       "\n",
       "  Composure Marking StandingTackle  SlidingTackle  GKDiving  GKHandling  \\\n",
       "0      96.0    33.0           28.0           26.0       6.0        11.0   \n",
       "1      95.0    28.0           31.0           23.0       7.0        11.0   \n",
       "2      94.0    27.0           24.0           33.0       9.0         9.0   \n",
       "3      68.0    15.0           21.0           13.0      90.0        85.0   \n",
       "4      88.0    68.0           58.0           51.0      15.0        13.0   \n",
       "\n",
       "  GKKicking GKPositioning GKReflexes  Release Clause  \n",
       "0      15.0          14.0        8.0         €226.5M  \n",
       "1      15.0          14.0       11.0         €127.1M  \n",
       "2      15.0          15.0       11.0         €228.1M  \n",
       "3      87.0          88.0       94.0         €138.6M  \n",
       "4       5.0          10.0       13.0         €196.4M  \n",
       "\n",
       "[5 rows x 60 columns]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fifa_data = pd.read_csv('fifa.csv')\n",
    "fifa_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "qualified-sterling",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['ID', 'Name', 'Age', 'Photo', 'Nationality', 'Flag', 'Overall',\n",
       "       'Potential', 'Club', 'Club Logo', 'Value', 'Wage', 'Preferred Foot',\n",
       "       'International Reputation', 'Weak Foot', 'Skill Moves', 'Work Rate',\n",
       "       'Body Type', 'Position', 'Jersey Number', 'Joined', 'Loaned From',\n",
       "       'Contract Valid Until', 'Height', 'Weight', 'Crossing', 'Finishing',\n",
       "       'HeadingAccuracy', 'ShortPassing', 'Volleys', 'Dribbling', 'Curve',\n",
       "       'FKAccuracy', 'LongPassing', 'BallControl', 'Acceleration',\n",
       "       'SprintSpeed', 'Agility', 'Reactions', 'Balance', 'ShotPower',\n",
       "       'Jumping', 'Stamina', 'Strength', 'LongShots', 'Aggression',\n",
       "       'Interceptions', 'Positioning', 'Vision', 'Penalties', 'Composure',\n",
       "       'Marking', 'StandingTackle', 'SlidingTackle', 'GKDiving', 'GKHandling',\n",
       "       'GKKicking', 'GKPositioning', 'GKReflexes', 'Release Clause'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fifa_data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "lightweight-uniform",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID                            int64\n",
       "Name                         object\n",
       "Age                           int64\n",
       "Photo                        object\n",
       "Nationality                  object\n",
       "Flag                         object\n",
       "Overall                       int64\n",
       "Potential                     int64\n",
       "Club                         object\n",
       "Club Logo                    object\n",
       "Value                        object\n",
       "Wage                         object\n",
       "Preferred Foot               object\n",
       "International Reputation    float64\n",
       "Weak Foot                   float64\n",
       "Skill Moves                 float64\n",
       "Work Rate                    object\n",
       "Body Type                    object\n",
       "Position                     object\n",
       "Jersey Number               float64\n",
       "Joined                       object\n",
       "Loaned From                  object\n",
       "Contract Valid Until         object\n",
       "Height                       object\n",
       "Weight                       object\n",
       "Crossing                    float64\n",
       "Finishing                   float64\n",
       "HeadingAccuracy             float64\n",
       "ShortPassing                float64\n",
       "Volleys                     float64\n",
       "Dribbling                   float64\n",
       "Curve                       float64\n",
       "FKAccuracy                  float64\n",
       "LongPassing                 float64\n",
       "BallControl                 float64\n",
       "Acceleration                float64\n",
       "SprintSpeed                 float64\n",
       "Agility                     float64\n",
       "Reactions                   float64\n",
       "Balance                     float64\n",
       "ShotPower                   float64\n",
       "Jumping                     float64\n",
       "Stamina                     float64\n",
       "Strength                    float64\n",
       "LongShots                   float64\n",
       "Aggression                  float64\n",
       "Interceptions               float64\n",
       "Positioning                 float64\n",
       "Vision                      float64\n",
       "Penalties                   float64\n",
       "Composure                   float64\n",
       "Marking                     float64\n",
       "StandingTackle              float64\n",
       "SlidingTackle               float64\n",
       "GKDiving                    float64\n",
       "GKHandling                  float64\n",
       "GKKicking                   float64\n",
       "GKPositioning               float64\n",
       "GKReflexes                  float64\n",
       "Release Clause               object\n",
       "dtype: object"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fifa_data.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "republican-carry",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Dropping unwanted columns by copying only the required columns\n",
    "\n",
    "df = fifa_data[['ID','Name','Age','Nationality','Overall','Potential','Value','Wage','International Reputation','Work Rate','Contract Valid Until','Joined','Height', 'Weight','Stamina','Strength','Release Clause','Position']].copy()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "thermal-broadcasting",
   "metadata": {},
   "outputs": [
    {
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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>Age</th>\n",
       "      <th>Nationality</th>\n",
       "      <th>Overall</th>\n",
       "      <th>Potential</th>\n",
       "      <th>Value</th>\n",
       "      <th>Wage</th>\n",
       "      <th>International Reputation</th>\n",
       "      <th>Work Rate</th>\n",
       "      <th>Contract Valid Until</th>\n",
       "      <th>Joined</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Stamina</th>\n",
       "      <th>Strength</th>\n",
       "      <th>Release Clause</th>\n",
       "      <th>Position</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>€110.5M</td>\n",
       "      <td>€565K</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2021</td>\n",
       "      <td>Jul 1, 2004</td>\n",
       "      <td>5'7</td>\n",
       "      <td>159lbs</td>\n",
       "      <td>72.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>€226.5M</td>\n",
       "      <td>RF</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>€77M</td>\n",
       "      <td>€405K</td>\n",
       "      <td>5.0</td>\n",
       "      <td>High/ Low</td>\n",
       "      <td>2022</td>\n",
       "      <td>Jul 10, 2018</td>\n",
       "      <td>6'2</td>\n",
       "      <td>183lbs</td>\n",
       "      <td>88.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>€127.1M</td>\n",
       "      <td>ST</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>€118.5M</td>\n",
       "      <td>€290K</td>\n",
       "      <td>5.0</td>\n",
       "      <td>High/ Medium</td>\n",
       "      <td>2022</td>\n",
       "      <td>Aug 3, 2017</td>\n",
       "      <td>5'9</td>\n",
       "      <td>150lbs</td>\n",
       "      <td>81.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>€228.1M</td>\n",
       "      <td>LW</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>€72M</td>\n",
       "      <td>€260K</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2020</td>\n",
       "      <td>Jul 1, 2011</td>\n",
       "      <td>6'4</td>\n",
       "      <td>168lbs</td>\n",
       "      <td>43.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>€138.6M</td>\n",
       "      <td>GK</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>€102M</td>\n",
       "      <td>€355K</td>\n",
       "      <td>4.0</td>\n",
       "      <td>High/ High</td>\n",
       "      <td>2023</td>\n",
       "      <td>Aug 30, 2015</td>\n",
       "      <td>5'11</td>\n",
       "      <td>154lbs</td>\n",
       "      <td>90.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>€196.4M</td>\n",
       "      <td>RCM</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18202</th>\n",
       "      <td>238813</td>\n",
       "      <td>J. Lundstram</td>\n",
       "      <td>19</td>\n",
       "      <td>England</td>\n",
       "      <td>47</td>\n",
       "      <td>65</td>\n",
       "      <td>€60K</td>\n",
       "      <td>€1K</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2019</td>\n",
       "      <td>May 3, 2017</td>\n",
       "      <td>5'9</td>\n",
       "      <td>134lbs</td>\n",
       "      <td>40.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>€143K</td>\n",
       "      <td>CM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18203</th>\n",
       "      <td>243165</td>\n",
       "      <td>N. Christoffersson</td>\n",
       "      <td>19</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>47</td>\n",
       "      <td>63</td>\n",
       "      <td>€60K</td>\n",
       "      <td>€1K</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2020</td>\n",
       "      <td>Mar 19, 2018</td>\n",
       "      <td>6'3</td>\n",
       "      <td>170lbs</td>\n",
       "      <td>43.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>€113K</td>\n",
       "      <td>ST</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18204</th>\n",
       "      <td>241638</td>\n",
       "      <td>B. Worman</td>\n",
       "      <td>16</td>\n",
       "      <td>England</td>\n",
       "      <td>47</td>\n",
       "      <td>67</td>\n",
       "      <td>€60K</td>\n",
       "      <td>€1K</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2021</td>\n",
       "      <td>Jul 1, 2017</td>\n",
       "      <td>5'8</td>\n",
       "      <td>148lbs</td>\n",
       "      <td>55.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>€165K</td>\n",
       "      <td>ST</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18205</th>\n",
       "      <td>246268</td>\n",
       "      <td>D. Walker-Rice</td>\n",
       "      <td>17</td>\n",
       "      <td>England</td>\n",
       "      <td>47</td>\n",
       "      <td>66</td>\n",
       "      <td>€60K</td>\n",
       "      <td>€1K</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2019</td>\n",
       "      <td>Apr 24, 2018</td>\n",
       "      <td>5'10</td>\n",
       "      <td>154lbs</td>\n",
       "      <td>40.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>€143K</td>\n",
       "      <td>RW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18206</th>\n",
       "      <td>246269</td>\n",
       "      <td>G. Nugent</td>\n",
       "      <td>16</td>\n",
       "      <td>England</td>\n",
       "      <td>46</td>\n",
       "      <td>66</td>\n",
       "      <td>€60K</td>\n",
       "      <td>€1K</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2019</td>\n",
       "      <td>Oct 30, 2018</td>\n",
       "      <td>5'10</td>\n",
       "      <td>176lbs</td>\n",
       "      <td>47.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>€165K</td>\n",
       "      <td>CM</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18207 rows × 18 columns</p>\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",
       "18202  238813        J. Lundstram   19     England       47         65   \n",
       "18203  243165  N. Christoffersson   19      Sweden       47         63   \n",
       "18204  241638           B. Worman   16     England       47         67   \n",
       "18205  246268      D. Walker-Rice   17     England       47         66   \n",
       "18206  246269           G. Nugent   16     England       46         66   \n",
       "\n",
       "         Value   Wage  International Reputation       Work Rate  \\\n",
       "0      €110.5M  €565K                       5.0  Medium/ Medium   \n",
       "1         €77M  €405K                       5.0       High/ Low   \n",
       "2      €118.5M  €290K                       5.0    High/ Medium   \n",
       "3         €72M  €260K                       4.0  Medium/ Medium   \n",
       "4        €102M  €355K                       4.0      High/ High   \n",
       "...        ...    ...                       ...             ...   \n",
       "18202     €60K    €1K                       1.0  Medium/ Medium   \n",
       "18203     €60K    €1K                       1.0  Medium/ Medium   \n",
       "18204     €60K    €1K                       1.0  Medium/ Medium   \n",
       "18205     €60K    €1K                       1.0  Medium/ Medium   \n",
       "18206     €60K    €1K                       1.0  Medium/ Medium   \n",
       "\n",
       "      Contract Valid Until        Joined Height  Weight  Stamina  Strength  \\\n",
       "0                     2021   Jul 1, 2004    5'7  159lbs     72.0      59.0   \n",
       "1                     2022  Jul 10, 2018    6'2  183lbs     88.0      79.0   \n",
       "2                     2022   Aug 3, 2017    5'9  150lbs     81.0      49.0   \n",
       "3                     2020   Jul 1, 2011    6'4  168lbs     43.0      64.0   \n",
       "4                     2023  Aug 30, 2015   5'11  154lbs     90.0      75.0   \n",
       "...                    ...           ...    ...     ...      ...       ...   \n",
       "18202                 2019   May 3, 2017    5'9  134lbs     40.0      47.0   \n",
       "18203                 2020  Mar 19, 2018    6'3  170lbs     43.0      67.0   \n",
       "18204                 2021   Jul 1, 2017    5'8  148lbs     55.0      32.0   \n",
       "18205                 2019  Apr 24, 2018   5'10  154lbs     40.0      48.0   \n",
       "18206                 2019  Oct 30, 2018   5'10  176lbs     47.0      60.0   \n",
       "\n",
       "      Release Clause Position  \n",
       "0            €226.5M       RF  \n",
       "1            €127.1M       ST  \n",
       "2            €228.1M       LW  \n",
       "3            €138.6M       GK  \n",
       "4            €196.4M      RCM  \n",
       "...              ...      ...  \n",
       "18202          €143K       CM  \n",
       "18203          €113K       ST  \n",
       "18204          €165K       ST  \n",
       "18205          €143K       RW  \n",
       "18206          €165K       CM  \n",
       "\n",
       "[18207 rows x 18 columns]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "announced-absence",
   "metadata": {},
   "source": [
    "## Converting the Columns for further analysis\n",
    "   "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "valued-exchange",
   "metadata": {},
   "source": [
    "Column Name = Value, Details = Amount with Euro symbol as prefix and suffix ‘K’ or ‘M’ indicating thousands and millions respectively. Required Output = Convert to Float after getting rid of currency symbol and suffix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "antique-herald",
   "metadata": {},
   "outputs": [],
   "source": [
    "def val(sal):\n",
    "    if sal[-1] == 'K':\n",
    "        values = pd.to_numeric(sal[1:-1])\n",
    "        values = values * 10000\n",
    "    else:\n",
    "        values = pd.to_numeric(sal[1:-1])\n",
    "        values = values * 1000000\n",
    "    return values    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "relative-steps",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Converting K and M values using function val\n",
    "df['Value'] = df['Value'].apply(val)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "competent-cycle",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        110500000.0\n",
       "1         77000000.0\n",
       "2        118500000.0\n",
       "3         72000000.0\n",
       "4        102000000.0\n",
       "            ...     \n",
       "18202       600000.0\n",
       "18203       600000.0\n",
       "18204       600000.0\n",
       "18205       600000.0\n",
       "18206       600000.0\n",
       "Name: Value, Length: 18207, dtype: float64"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Value']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "hidden-dallas",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('float64')"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Value'].dtype"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "national-entrance",
   "metadata": {},
   "source": [
    "Column Name = 'Wage' Details = Amount with Euro symbol as prefix and suffix ‘K’ or ‘M’ indicating thousands and millions respectively. Required Output = Convert to Float after getting rid of currency symbol and suffix.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "applied-output",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Wage'] = df['Wage'].str.replace('€','').str.replace('M','').str.replace('K','').astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "operational-study",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Wage'] = df['Wage']*1000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "established-package",
   "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>Value</th>\n",
       "      <th>Wage</th>\n",
       "      <th>International Reputation</th>\n",
       "      <th>Work Rate</th>\n",
       "      <th>Contract Valid Until</th>\n",
       "      <th>Joined</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Stamina</th>\n",
       "      <th>Strength</th>\n",
       "      <th>Release Clause</th>\n",
       "      <th>Position</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>110500000.0</td>\n",
       "      <td>565000.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2021</td>\n",
       "      <td>Jul 1, 2004</td>\n",
       "      <td>5'7</td>\n",
       "      <td>159lbs</td>\n",
       "      <td>72.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>€226.5M</td>\n",
       "      <td>RF</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>77000000.0</td>\n",
       "      <td>405000.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>High/ Low</td>\n",
       "      <td>2022</td>\n",
       "      <td>Jul 10, 2018</td>\n",
       "      <td>6'2</td>\n",
       "      <td>183lbs</td>\n",
       "      <td>88.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>€127.1M</td>\n",
       "      <td>ST</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>118500000.0</td>\n",
       "      <td>290000.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>High/ Medium</td>\n",
       "      <td>2022</td>\n",
       "      <td>Aug 3, 2017</td>\n",
       "      <td>5'9</td>\n",
       "      <td>150lbs</td>\n",
       "      <td>81.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>€228.1M</td>\n",
       "      <td>LW</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>72000000.0</td>\n",
       "      <td>260000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2020</td>\n",
       "      <td>Jul 1, 2011</td>\n",
       "      <td>6'4</td>\n",
       "      <td>168lbs</td>\n",
       "      <td>43.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>€138.6M</td>\n",
       "      <td>GK</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>102000000.0</td>\n",
       "      <td>355000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>High/ High</td>\n",
       "      <td>2023</td>\n",
       "      <td>Aug 30, 2015</td>\n",
       "      <td>5'11</td>\n",
       "      <td>154lbs</td>\n",
       "      <td>90.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>€196.4M</td>\n",
       "      <td>RCM</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18202</th>\n",
       "      <td>238813</td>\n",
       "      <td>J. Lundstram</td>\n",
       "      <td>19</td>\n",
       "      <td>England</td>\n",
       "      <td>47</td>\n",
       "      <td>65</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2019</td>\n",
       "      <td>May 3, 2017</td>\n",
       "      <td>5'9</td>\n",
       "      <td>134lbs</td>\n",
       "      <td>40.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>€143K</td>\n",
       "      <td>CM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18203</th>\n",
       "      <td>243165</td>\n",
       "      <td>N. Christoffersson</td>\n",
       "      <td>19</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>47</td>\n",
       "      <td>63</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2020</td>\n",
       "      <td>Mar 19, 2018</td>\n",
       "      <td>6'3</td>\n",
       "      <td>170lbs</td>\n",
       "      <td>43.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>€113K</td>\n",
       "      <td>ST</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18204</th>\n",
       "      <td>241638</td>\n",
       "      <td>B. Worman</td>\n",
       "      <td>16</td>\n",
       "      <td>England</td>\n",
       "      <td>47</td>\n",
       "      <td>67</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2021</td>\n",
       "      <td>Jul 1, 2017</td>\n",
       "      <td>5'8</td>\n",
       "      <td>148lbs</td>\n",
       "      <td>55.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>€165K</td>\n",
       "      <td>ST</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18205</th>\n",
       "      <td>246268</td>\n",
       "      <td>D. Walker-Rice</td>\n",
       "      <td>17</td>\n",
       "      <td>England</td>\n",
       "      <td>47</td>\n",
       "      <td>66</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2019</td>\n",
       "      <td>Apr 24, 2018</td>\n",
       "      <td>5'10</td>\n",
       "      <td>154lbs</td>\n",
       "      <td>40.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>€143K</td>\n",
       "      <td>RW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18206</th>\n",
       "      <td>246269</td>\n",
       "      <td>G. Nugent</td>\n",
       "      <td>16</td>\n",
       "      <td>England</td>\n",
       "      <td>46</td>\n",
       "      <td>66</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2019</td>\n",
       "      <td>Oct 30, 2018</td>\n",
       "      <td>5'10</td>\n",
       "      <td>176lbs</td>\n",
       "      <td>47.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>€165K</td>\n",
       "      <td>CM</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18207 rows × 18 columns</p>\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",
       "18202  238813        J. Lundstram   19     England       47         65   \n",
       "18203  243165  N. Christoffersson   19      Sweden       47         63   \n",
       "18204  241638           B. Worman   16     England       47         67   \n",
       "18205  246268      D. Walker-Rice   17     England       47         66   \n",
       "18206  246269           G. Nugent   16     England       46         66   \n",
       "\n",
       "             Value      Wage  International Reputation       Work Rate  \\\n",
       "0      110500000.0  565000.0                       5.0  Medium/ Medium   \n",
       "1       77000000.0  405000.0                       5.0       High/ Low   \n",
       "2      118500000.0  290000.0                       5.0    High/ Medium   \n",
       "3       72000000.0  260000.0                       4.0  Medium/ Medium   \n",
       "4      102000000.0  355000.0                       4.0      High/ High   \n",
       "...            ...       ...                       ...             ...   \n",
       "18202     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "18203     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "18204     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "18205     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "18206     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "\n",
       "      Contract Valid Until        Joined Height  Weight  Stamina  Strength  \\\n",
       "0                     2021   Jul 1, 2004    5'7  159lbs     72.0      59.0   \n",
       "1                     2022  Jul 10, 2018    6'2  183lbs     88.0      79.0   \n",
       "2                     2022   Aug 3, 2017    5'9  150lbs     81.0      49.0   \n",
       "3                     2020   Jul 1, 2011    6'4  168lbs     43.0      64.0   \n",
       "4                     2023  Aug 30, 2015   5'11  154lbs     90.0      75.0   \n",
       "...                    ...           ...    ...     ...      ...       ...   \n",
       "18202                 2019   May 3, 2017    5'9  134lbs     40.0      47.0   \n",
       "18203                 2020  Mar 19, 2018    6'3  170lbs     43.0      67.0   \n",
       "18204                 2021   Jul 1, 2017    5'8  148lbs     55.0      32.0   \n",
       "18205                 2019  Apr 24, 2018   5'10  154lbs     40.0      48.0   \n",
       "18206                 2019  Oct 30, 2018   5'10  176lbs     47.0      60.0   \n",
       "\n",
       "      Release Clause Position  \n",
       "0            €226.5M       RF  \n",
       "1            €127.1M       ST  \n",
       "2            €228.1M       LW  \n",
       "3            €138.6M       GK  \n",
       "4            €196.4M      RCM  \n",
       "...              ...      ...  \n",
       "18202          €143K       CM  \n",
       "18203          €113K       ST  \n",
       "18204          €165K       ST  \n",
       "18205          €143K       RW  \n",
       "18206          €165K       CM  \n",
       "\n",
       "[18207 rows x 18 columns]"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "dimensional-adolescent",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('float64')"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Wage'].dtype"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "opened-marketing",
   "metadata": {},
   "source": [
    "Column Name = 'Joined' Details = Year as a string, in some cases complete date as stringrespectively. Required Output = Convert to int with only year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "brutal-diversity",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8.529686384357664"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking for Null values\n",
    "df['Joined'].isnull().sum()/len(df)*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "national-breach",
   "metadata": {},
   "outputs": [],
   "source": [
    "#filling Nan values with mode imputation\n",
    "df['Joined'].fillna(df.Joined.mode()[0],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "operating-pakistan",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking for Null values after mode imputation\n",
    "df['Joined'].isnull().sum()/len(df)*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "determined-benefit",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Joined'] = pd.DatetimeIndex(df['Joined']).year.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "broken-antigua",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('int64')"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking the type for Joined column\n",
    "df['Joined'].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "initial-charlotte",
   "metadata": {},
   "outputs": [],
   "source": [
    "#4 Column Name = 'Contract Valid Until' Details = Date as a string Required Output = Convert to datetime type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "incredible-tribe",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Contract Valid Until'] = pd.to_datetime(df['Contract Valid Until'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "absolute-presentation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('<M8[ns]')"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Contract Valid Until'].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "associate-manchester",
   "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>Value</th>\n",
       "      <th>Wage</th>\n",
       "      <th>International Reputation</th>\n",
       "      <th>Work Rate</th>\n",
       "      <th>Contract Valid Until</th>\n",
       "      <th>Joined</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Stamina</th>\n",
       "      <th>Strength</th>\n",
       "      <th>Release Clause</th>\n",
       "      <th>Position</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>110500000.0</td>\n",
       "      <td>565000.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2004</td>\n",
       "      <td>5'7</td>\n",
       "      <td>159lbs</td>\n",
       "      <td>72.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>€226.5M</td>\n",
       "      <td>RF</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>77000000.0</td>\n",
       "      <td>405000.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>High/ Low</td>\n",
       "      <td>2022-01-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>6'2</td>\n",
       "      <td>183lbs</td>\n",
       "      <td>88.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>€127.1M</td>\n",
       "      <td>ST</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>118500000.0</td>\n",
       "      <td>290000.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>High/ Medium</td>\n",
       "      <td>2022-01-01</td>\n",
       "      <td>2017</td>\n",
       "      <td>5'9</td>\n",
       "      <td>150lbs</td>\n",
       "      <td>81.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>€228.1M</td>\n",
       "      <td>LW</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>72000000.0</td>\n",
       "      <td>260000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2011</td>\n",
       "      <td>6'4</td>\n",
       "      <td>168lbs</td>\n",
       "      <td>43.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>€138.6M</td>\n",
       "      <td>GK</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>102000000.0</td>\n",
       "      <td>355000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>High/ High</td>\n",
       "      <td>2023-01-01</td>\n",
       "      <td>2015</td>\n",
       "      <td>5'11</td>\n",
       "      <td>154lbs</td>\n",
       "      <td>90.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>€196.4M</td>\n",
       "      <td>RCM</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18202</th>\n",
       "      <td>238813</td>\n",
       "      <td>J. Lundstram</td>\n",
       "      <td>19</td>\n",
       "      <td>England</td>\n",
       "      <td>47</td>\n",
       "      <td>65</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2017</td>\n",
       "      <td>5'9</td>\n",
       "      <td>134lbs</td>\n",
       "      <td>40.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>€143K</td>\n",
       "      <td>CM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18203</th>\n",
       "      <td>243165</td>\n",
       "      <td>N. Christoffersson</td>\n",
       "      <td>19</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>47</td>\n",
       "      <td>63</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>6'3</td>\n",
       "      <td>170lbs</td>\n",
       "      <td>43.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>€113K</td>\n",
       "      <td>ST</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18204</th>\n",
       "      <td>241638</td>\n",
       "      <td>B. Worman</td>\n",
       "      <td>16</td>\n",
       "      <td>England</td>\n",
       "      <td>47</td>\n",
       "      <td>67</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2017</td>\n",
       "      <td>5'8</td>\n",
       "      <td>148lbs</td>\n",
       "      <td>55.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>€165K</td>\n",
       "      <td>ST</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18205</th>\n",
       "      <td>246268</td>\n",
       "      <td>D. Walker-Rice</td>\n",
       "      <td>17</td>\n",
       "      <td>England</td>\n",
       "      <td>47</td>\n",
       "      <td>66</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>5'10</td>\n",
       "      <td>154lbs</td>\n",
       "      <td>40.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>€143K</td>\n",
       "      <td>RW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18206</th>\n",
       "      <td>246269</td>\n",
       "      <td>G. Nugent</td>\n",
       "      <td>16</td>\n",
       "      <td>England</td>\n",
       "      <td>46</td>\n",
       "      <td>66</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>5'10</td>\n",
       "      <td>176lbs</td>\n",
       "      <td>47.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>€165K</td>\n",
       "      <td>CM</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18207 rows × 18 columns</p>\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",
       "18202  238813        J. Lundstram   19     England       47         65   \n",
       "18203  243165  N. Christoffersson   19      Sweden       47         63   \n",
       "18204  241638           B. Worman   16     England       47         67   \n",
       "18205  246268      D. Walker-Rice   17     England       47         66   \n",
       "18206  246269           G. Nugent   16     England       46         66   \n",
       "\n",
       "             Value      Wage  International Reputation       Work Rate  \\\n",
       "0      110500000.0  565000.0                       5.0  Medium/ Medium   \n",
       "1       77000000.0  405000.0                       5.0       High/ Low   \n",
       "2      118500000.0  290000.0                       5.0    High/ Medium   \n",
       "3       72000000.0  260000.0                       4.0  Medium/ Medium   \n",
       "4      102000000.0  355000.0                       4.0      High/ High   \n",
       "...            ...       ...                       ...             ...   \n",
       "18202     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "18203     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "18204     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "18205     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "18206     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "\n",
       "      Contract Valid Until  Joined Height  Weight  Stamina  Strength  \\\n",
       "0               2021-01-01    2004    5'7  159lbs     72.0      59.0   \n",
       "1               2022-01-01    2018    6'2  183lbs     88.0      79.0   \n",
       "2               2022-01-01    2017    5'9  150lbs     81.0      49.0   \n",
       "3               2020-01-01    2011    6'4  168lbs     43.0      64.0   \n",
       "4               2023-01-01    2015   5'11  154lbs     90.0      75.0   \n",
       "...                    ...     ...    ...     ...      ...       ...   \n",
       "18202           2019-01-01    2017    5'9  134lbs     40.0      47.0   \n",
       "18203           2020-01-01    2018    6'3  170lbs     43.0      67.0   \n",
       "18204           2021-01-01    2017    5'8  148lbs     55.0      32.0   \n",
       "18205           2019-01-01    2018   5'10  154lbs     40.0      48.0   \n",
       "18206           2019-01-01    2018   5'10  176lbs     47.0      60.0   \n",
       "\n",
       "      Release Clause Position  \n",
       "0            €226.5M       RF  \n",
       "1            €127.1M       ST  \n",
       "2            €228.1M       LW  \n",
       "3            €138.6M       GK  \n",
       "4            €196.4M      RCM  \n",
       "...              ...      ...  \n",
       "18202          €143K       CM  \n",
       "18203          €113K       ST  \n",
       "18204          €165K       ST  \n",
       "18205          €143K       RW  \n",
       "18206          €165K       CM  \n",
       "\n",
       "[18207 rows x 18 columns]"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "minute-works",
   "metadata": {},
   "source": [
    "Column Name = 'Height' Details = In inches with a quotation mark Required Output = Convert to Float with decimal points"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "progressive-tenant",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Height'] = df['Height'].str.replace(\"\\'\",'.').astype(float)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "adjustable-growing",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('float64')"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Height'].dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "indian-dispatch",
   "metadata": {},
   "source": [
    "Column Name = 'Weight' Details = Contains the suffix lbs Required Output = Remove the suffix and convert to float"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "appreciated-print",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Weight'] = df['Weight'].str.replace('lbs','').astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "planned-indian",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('float64')"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Height'].dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "interracial-hypothetical",
   "metadata": {},
   "source": [
    "Column Name = 'Release Clause' Details = Amount with Euro symbol as prefix and suffix ‘K’ or ‘M’ indicating thousands and millions respectively. Required Output = Convert to Float after getting rid of currency symbol and suffix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "advised-inventory",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        €226.5M\n",
       "1        €127.1M\n",
       "2        €228.1M\n",
       "3        €138.6M\n",
       "4        €196.4M\n",
       "          ...   \n",
       "18202      €143K\n",
       "18203      €113K\n",
       "18204      €165K\n",
       "18205      €143K\n",
       "18206      €165K\n",
       "Name: Release Clause, Length: 18207, dtype: object"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Release Clause'].astype(object)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "rolled-dodge",
   "metadata": {},
   "outputs": [],
   "source": [
    "c=[]\n",
    "for i in df['Release Clause']:\n",
    "    if isinstance(i,float)==False:\n",
    "        if i[-1]=='M':\n",
    "            m = float(i[1:-1])\n",
    "            f = m*1000000\n",
    "            c.append(f)\n",
    "        elif i[-1]=='K':\n",
    "            k = float(i[1:-1])\n",
    "            j = k*1000\n",
    "            c.append(j)\n",
    "        else:\n",
    "            j=float(i[1:])\n",
    "            c.append(j)\n",
    "    else:\n",
    "        c.append(i)\n",
    "m=np.array(c)\n",
    "df['Release Clause']=m\n",
    "df['Release Clause'].fillna(df['Release Clause'].mean(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "graduate-modeling",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        226500000.0\n",
       "1        127100000.0\n",
       "2        228100000.0\n",
       "3        138600000.0\n",
       "4        196400000.0\n",
       "            ...     \n",
       "18202       143000.0\n",
       "18203       113000.0\n",
       "18204       165000.0\n",
       "18205       143000.0\n",
       "18206       165000.0\n",
       "Name: Release Clause, Length: 18207, dtype: float64"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Release Clause']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fleet-seven",
   "metadata": {},
   "source": [
    "Check for missing values and do a mean imputation where necessary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "brilliant-paintball",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 18207 entries, 0 to 18206\n",
      "Data columns (total 18 columns):\n",
      " #   Column                    Non-Null Count  Dtype         \n",
      "---  ------                    --------------  -----         \n",
      " 0   ID                        18207 non-null  int64         \n",
      " 1   Name                      18207 non-null  object        \n",
      " 2   Age                       18207 non-null  int64         \n",
      " 3   Nationality               18207 non-null  object        \n",
      " 4   Overall                   18207 non-null  int64         \n",
      " 5   Potential                 18207 non-null  int64         \n",
      " 6   Value                     17955 non-null  float64       \n",
      " 7   Wage                      18207 non-null  float64       \n",
      " 8   International Reputation  18159 non-null  float64       \n",
      " 9   Work Rate                 18159 non-null  object        \n",
      " 10  Contract Valid Until      17918 non-null  datetime64[ns]\n",
      " 11  Joined                    18207 non-null  int64         \n",
      " 12  Height                    18159 non-null  float64       \n",
      " 13  Weight                    18159 non-null  float64       \n",
      " 14  Stamina                   18159 non-null  float64       \n",
      " 15  Strength                  18159 non-null  float64       \n",
      " 16  Release Clause            18207 non-null  float64       \n",
      " 17  Position                  18147 non-null  object        \n",
      "dtypes: datetime64[ns](1), float64(8), int64(5), object(4)\n",
      "memory usage: 2.5+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "defined-algebra",
   "metadata": {},
   "source": [
    "Mean Imputation for required columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "absolute-sugar",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['International Reputation'].fillna(df['International Reputation'].mean(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "alpine-angola",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID                                   int64\n",
       "Name                                object\n",
       "Age                                  int64\n",
       "Nationality                         object\n",
       "Overall                              int64\n",
       "Potential                            int64\n",
       "Value                              float64\n",
       "Wage                               float64\n",
       "International Reputation           float64\n",
       "Work Rate                           object\n",
       "Contract Valid Until        datetime64[ns]\n",
       "Joined                               int64\n",
       "Height                             float64\n",
       "Weight                             float64\n",
       "Stamina                            float64\n",
       "Strength                           float64\n",
       "Release Clause                     float64\n",
       "Position                            object\n",
       "dtype: object"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "friendly-grant",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Work Rate'].fillna(df['Work Rate'].mode()[0],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "martial-court",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Contract Valid Until'].fillna(df['Contract Valid Until'].mode()[0],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "planned-forge",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Height'].fillna(df['Height'].mean(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "inclusive-category",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Weight'].fillna(df['Weight'].mean(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "approved-chest",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Stamina'].fillna(df['Stamina'].mean(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "sixth-utility",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Strength'].fillna(df['Strength'].mean(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "nuclear-emission",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Release Clause'].fillna(df['Release Clause'].mean(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "tamil-saver",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Position'].fillna(df['Position'].mode()[0],inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "nearby-front",
   "metadata": {},
   "source": [
    "## Exploratory Analysis:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bearing-vermont",
   "metadata": {},
   "source": [
    "1) Plot the distribution of Overall rating for all players\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "id": "floppy-athletics",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2557: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,8))\n",
    "sns.distplot(a=df['Overall'])\n",
    "plt.title('Distribution of Overall rating for all the players')\n",
    "plt.savefig('EDA 1')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "senior-establishment",
   "metadata": {},
   "source": [
    "2) Generate pair plots for the following variables: Overall, Value, Wage, International Reputation, Height, Weight, Release Clause"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "determined-curtis",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1260x1260 with 56 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df[['Overall','Value','Wage','International Reputation','Height','Weight','Release Clause']])\n",
    "plt.savefig('EDA 2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "id": "invalid-nylon",
   "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>Value</th>\n",
       "      <th>Wage</th>\n",
       "      <th>International Reputation</th>\n",
       "      <th>Work Rate</th>\n",
       "      <th>Contract Valid Until</th>\n",
       "      <th>Joined</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Stamina</th>\n",
       "      <th>Strength</th>\n",
       "      <th>Release Clause</th>\n",
       "      <th>Position</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>110500000.0</td>\n",
       "      <td>565000.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2004</td>\n",
       "      <td>5.70</td>\n",
       "      <td>159.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>226500000.0</td>\n",
       "      <td>RF</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>77000000.0</td>\n",
       "      <td>405000.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>High/ Low</td>\n",
       "      <td>2022-01-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>6.20</td>\n",
       "      <td>183.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>127100000.0</td>\n",
       "      <td>ST</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>118500000.0</td>\n",
       "      <td>290000.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>High/ Medium</td>\n",
       "      <td>2022-01-01</td>\n",
       "      <td>2017</td>\n",
       "      <td>5.90</td>\n",
       "      <td>150.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>228100000.0</td>\n",
       "      <td>LW</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>72000000.0</td>\n",
       "      <td>260000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2011</td>\n",
       "      <td>6.40</td>\n",
       "      <td>168.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>138600000.0</td>\n",
       "      <td>GK</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>102000000.0</td>\n",
       "      <td>355000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>High/ High</td>\n",
       "      <td>2023-01-01</td>\n",
       "      <td>2015</td>\n",
       "      <td>5.11</td>\n",
       "      <td>154.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>196400000.0</td>\n",
       "      <td>RCM</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18202</th>\n",
       "      <td>238813</td>\n",
       "      <td>J. Lundstram</td>\n",
       "      <td>19</td>\n",
       "      <td>England</td>\n",
       "      <td>47</td>\n",
       "      <td>65</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2017</td>\n",
       "      <td>5.90</td>\n",
       "      <td>134.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>143000.0</td>\n",
       "      <td>CM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18203</th>\n",
       "      <td>243165</td>\n",
       "      <td>N. Christoffersson</td>\n",
       "      <td>19</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>47</td>\n",
       "      <td>63</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>6.30</td>\n",
       "      <td>170.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>ST</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18204</th>\n",
       "      <td>241638</td>\n",
       "      <td>B. Worman</td>\n",
       "      <td>16</td>\n",
       "      <td>England</td>\n",
       "      <td>47</td>\n",
       "      <td>67</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2021-01-01</td>\n",
       "      <td>2017</td>\n",
       "      <td>5.80</td>\n",
       "      <td>148.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>165000.0</td>\n",
       "      <td>ST</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18205</th>\n",
       "      <td>246268</td>\n",
       "      <td>D. Walker-Rice</td>\n",
       "      <td>17</td>\n",
       "      <td>England</td>\n",
       "      <td>47</td>\n",
       "      <td>66</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>5.10</td>\n",
       "      <td>154.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>143000.0</td>\n",
       "      <td>RW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18206</th>\n",
       "      <td>246269</td>\n",
       "      <td>G. Nugent</td>\n",
       "      <td>16</td>\n",
       "      <td>England</td>\n",
       "      <td>46</td>\n",
       "      <td>66</td>\n",
       "      <td>600000.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2019-01-01</td>\n",
       "      <td>2018</td>\n",
       "      <td>5.10</td>\n",
       "      <td>176.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>165000.0</td>\n",
       "      <td>CM</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>18207 rows × 18 columns</p>\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",
       "18202  238813        J. Lundstram   19     England       47         65   \n",
       "18203  243165  N. Christoffersson   19      Sweden       47         63   \n",
       "18204  241638           B. Worman   16     England       47         67   \n",
       "18205  246268      D. Walker-Rice   17     England       47         66   \n",
       "18206  246269           G. Nugent   16     England       46         66   \n",
       "\n",
       "             Value      Wage  International Reputation       Work Rate  \\\n",
       "0      110500000.0  565000.0                       5.0  Medium/ Medium   \n",
       "1       77000000.0  405000.0                       5.0       High/ Low   \n",
       "2      118500000.0  290000.0                       5.0    High/ Medium   \n",
       "3       72000000.0  260000.0                       4.0  Medium/ Medium   \n",
       "4      102000000.0  355000.0                       4.0      High/ High   \n",
       "...            ...       ...                       ...             ...   \n",
       "18202     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "18203     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "18204     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "18205     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "18206     600000.0    1000.0                       1.0  Medium/ Medium   \n",
       "\n",
       "      Contract Valid Until  Joined  Height  Weight  Stamina  Strength  \\\n",
       "0               2021-01-01    2004    5.70   159.0     72.0      59.0   \n",
       "1               2022-01-01    2018    6.20   183.0     88.0      79.0   \n",
       "2               2022-01-01    2017    5.90   150.0     81.0      49.0   \n",
       "3               2020-01-01    2011    6.40   168.0     43.0      64.0   \n",
       "4               2023-01-01    2015    5.11   154.0     90.0      75.0   \n",
       "...                    ...     ...     ...     ...      ...       ...   \n",
       "18202           2019-01-01    2017    5.90   134.0     40.0      47.0   \n",
       "18203           2020-01-01    2018    6.30   170.0     43.0      67.0   \n",
       "18204           2021-01-01    2017    5.80   148.0     55.0      32.0   \n",
       "18205           2019-01-01    2018    5.10   154.0     40.0      48.0   \n",
       "18206           2019-01-01    2018    5.10   176.0     47.0      60.0   \n",
       "\n",
       "       Release Clause Position  \n",
       "0         226500000.0       RF  \n",
       "1         127100000.0       ST  \n",
       "2         228100000.0       LW  \n",
       "3         138600000.0       GK  \n",
       "4         196400000.0      RCM  \n",
       "...               ...      ...  \n",
       "18202        143000.0       CM  \n",
       "18203        113000.0       ST  \n",
       "18204        165000.0       ST  \n",
       "18205        143000.0       RW  \n",
       "18206        165000.0       CM  \n",
       "\n",
       "[18207 rows x 18 columns]"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "hidden-prayer",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_20 = df[(df['Contract Valid Until'] == '01-01-2020')].sort_values(by = 'Overall',ascending = False).head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "id": "funky-regular",
   "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>Value</th>\n",
       "      <th>Wage</th>\n",
       "      <th>International Reputation</th>\n",
       "      <th>Work Rate</th>\n",
       "      <th>Contract Valid Until</th>\n",
       "      <th>Joined</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Stamina</th>\n",
       "      <th>Strength</th>\n",
       "      <th>Release Clause</th>\n",
       "      <th>Position</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\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>72000000.0</td>\n",
       "      <td>260000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2011</td>\n",
       "      <td>6.40</td>\n",
       "      <td>168.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>138600000.0</td>\n",
       "      <td>GK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>177003</td>\n",
       "      <td>L. Modrić</td>\n",
       "      <td>32</td>\n",
       "      <td>Croatia</td>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>67000000.0</td>\n",
       "      <td>420000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>High/ High</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2012</td>\n",
       "      <td>5.80</td>\n",
       "      <td>146.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>137400000.0</td>\n",
       "      <td>RCM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>155862</td>\n",
       "      <td>Sergio Ramos</td>\n",
       "      <td>32</td>\n",
       "      <td>Spain</td>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>51000000.0</td>\n",
       "      <td>380000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>High/ Medium</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2005</td>\n",
       "      <td>6.00</td>\n",
       "      <td>181.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>104600000.0</td>\n",
       "      <td>RCB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>183277</td>\n",
       "      <td>E. Hazard</td>\n",
       "      <td>27</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>91</td>\n",
       "      <td>91</td>\n",
       "      <td>93000000.0</td>\n",
       "      <td>340000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>High/ Medium</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2012</td>\n",
       "      <td>5.80</td>\n",
       "      <td>163.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>172100000.0</td>\n",
       "      <td>LF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>168542</td>\n",
       "      <td>David Silva</td>\n",
       "      <td>32</td>\n",
       "      <td>Spain</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>60000000.0</td>\n",
       "      <td>285000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>High/ Medium</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2010</td>\n",
       "      <td>5.80</td>\n",
       "      <td>148.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>111000000.0</td>\n",
       "      <td>LCM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>179813</td>\n",
       "      <td>E. Cavani</td>\n",
       "      <td>31</td>\n",
       "      <td>Uruguay</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>60000000.0</td>\n",
       "      <td>200000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>High/ High</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2013</td>\n",
       "      <td>6.10</td>\n",
       "      <td>170.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>78.0</td>\n",
       "      <td>111000000.0</td>\n",
       "      <td>LS</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>138956</td>\n",
       "      <td>G. Chiellini</td>\n",
       "      <td>33</td>\n",
       "      <td>Italy</td>\n",
       "      <td>89</td>\n",
       "      <td>89</td>\n",
       "      <td>27000000.0</td>\n",
       "      <td>215000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Medium/ High</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2005</td>\n",
       "      <td>6.20</td>\n",
       "      <td>187.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>44600000.0</td>\n",
       "      <td>LCB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>190460</td>\n",
       "      <td>C. Eriksen</td>\n",
       "      <td>26</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>88</td>\n",
       "      <td>91</td>\n",
       "      <td>73500000.0</td>\n",
       "      <td>205000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>High/ Medium</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2013</td>\n",
       "      <td>5.11</td>\n",
       "      <td>168.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>141500000.0</td>\n",
       "      <td>CAM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>164240</td>\n",
       "      <td>Thiago Silva</td>\n",
       "      <td>33</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>88</td>\n",
       "      <td>88</td>\n",
       "      <td>24000000.0</td>\n",
       "      <td>165000.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Medium/ High</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2012</td>\n",
       "      <td>6.00</td>\n",
       "      <td>181.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>44400000.0</td>\n",
       "      <td>RCB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>175943</td>\n",
       "      <td>D. Mertens</td>\n",
       "      <td>31</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>45000000.0</td>\n",
       "      <td>135000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>High/ Low</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2013</td>\n",
       "      <td>5.70</td>\n",
       "      <td>134.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>76500000.0</td>\n",
       "      <td>RF</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>171877</td>\n",
       "      <td>M. Hamšík</td>\n",
       "      <td>30</td>\n",
       "      <td>Slovakia</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>46500000.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>High/ Medium</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2007</td>\n",
       "      <td>6.00</td>\n",
       "      <td>174.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>79100000.0</td>\n",
       "      <td>LCM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>189332</td>\n",
       "      <td>Jordi Alba</td>\n",
       "      <td>29</td>\n",
       "      <td>Spain</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>38000000.0</td>\n",
       "      <td>250000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>High/ Medium</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2012</td>\n",
       "      <td>5.70</td>\n",
       "      <td>150.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>77900000.0</td>\n",
       "      <td>LB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>193041</td>\n",
       "      <td>K. Navas</td>\n",
       "      <td>31</td>\n",
       "      <td>Costa Rica</td>\n",
       "      <td>87</td>\n",
       "      <td>87</td>\n",
       "      <td>30500000.0</td>\n",
       "      <td>195000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2014</td>\n",
       "      <td>6.10</td>\n",
       "      <td>176.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>62500000.0</td>\n",
       "      <td>GK</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>191043</td>\n",
       "      <td>Alex Sandro</td>\n",
       "      <td>27</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>36500000.0</td>\n",
       "      <td>160000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>High/ High</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2015</td>\n",
       "      <td>5.11</td>\n",
       "      <td>176.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>60200000.0</td>\n",
       "      <td>LB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>184087</td>\n",
       "      <td>T. Alderweireld</td>\n",
       "      <td>29</td>\n",
       "      <td>Belgium</td>\n",
       "      <td>86</td>\n",
       "      <td>87</td>\n",
       "      <td>39000000.0</td>\n",
       "      <td>150000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2015</td>\n",
       "      <td>6.10</td>\n",
       "      <td>179.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>75100000.0</td>\n",
       "      <td>RCB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>177509</td>\n",
       "      <td>M. Benatia</td>\n",
       "      <td>31</td>\n",
       "      <td>Morocco</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>30000000.0</td>\n",
       "      <td>160000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Medium/ High</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2014</td>\n",
       "      <td>6.20</td>\n",
       "      <td>207.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>49500000.0</td>\n",
       "      <td>CB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>135507</td>\n",
       "      <td>Fernandinho</td>\n",
       "      <td>33</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>18000000.0</td>\n",
       "      <td>185000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Medium/ High</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2013</td>\n",
       "      <td>5.10</td>\n",
       "      <td>148.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>33300000.0</td>\n",
       "      <td>CDM</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>171919</td>\n",
       "      <td>Naldo</td>\n",
       "      <td>35</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>9000000.0</td>\n",
       "      <td>38000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Medium/ Medium</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2016</td>\n",
       "      <td>6.60</td>\n",
       "      <td>201.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>15300000.0</td>\n",
       "      <td>CB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>168609</td>\n",
       "      <td>Miranda</td>\n",
       "      <td>33</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>15500000.0</td>\n",
       "      <td>96000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Medium/ High</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2017</td>\n",
       "      <td>6.10</td>\n",
       "      <td>172.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>26400000.0</td>\n",
       "      <td>CB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>170890</td>\n",
       "      <td>B. Matuidi</td>\n",
       "      <td>31</td>\n",
       "      <td>France</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>26000000.0</td>\n",
       "      <td>145000.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>High/ High</td>\n",
       "      <td>2020-01-01</td>\n",
       "      <td>2017</td>\n",
       "      <td>5.11</td>\n",
       "      <td>165.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>42900000.0</td>\n",
       "      <td>LM</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         ID             Name  Age Nationality  Overall  Potential       Value  \\\n",
       "3    193080           De Gea   27       Spain       91         93  72000000.0   \n",
       "6    177003        L. Modrić   32     Croatia       91         91  67000000.0   \n",
       "8    155862     Sergio Ramos   32       Spain       91         91  51000000.0   \n",
       "5    183277        E. Hazard   27     Belgium       91         91  93000000.0   \n",
       "13   168542      David Silva   32       Spain       90         90  60000000.0   \n",
       "21   179813        E. Cavani   31     Uruguay       89         89  60000000.0   \n",
       "24   138956     G. Chiellini   33       Italy       89         89  27000000.0   \n",
       "31   190460       C. Eriksen   26     Denmark       88         91  73500000.0   \n",
       "39   164240     Thiago Silva   33      Brazil       88         88  24000000.0   \n",
       "50   175943       D. Mertens   31     Belgium       87         87  45000000.0   \n",
       "52   171877        M. Hamšík   30    Slovakia       87         87  46500000.0   \n",
       "49   189332       Jordi Alba   29       Spain       87         87  38000000.0   \n",
       "46   193041         K. Navas   31  Costa Rica       87         87  30500000.0   \n",
       "64   191043      Alex Sandro   27      Brazil       86         86  36500000.0   \n",
       "71   184087  T. Alderweireld   29     Belgium       86         87  39000000.0   \n",
       "73   177509       M. Benatia   31     Morocco       86         86  30000000.0   \n",
       "75   135507      Fernandinho   33      Brazil       86         86  18000000.0   \n",
       "102  171919            Naldo   35      Brazil       85         85   9000000.0   \n",
       "104  168609          Miranda   33      Brazil       85         85  15500000.0   \n",
       "103  170890       B. Matuidi   31      France       85         85  26000000.0   \n",
       "\n",
       "         Wage  International Reputation       Work Rate Contract Valid Until  \\\n",
       "3    260000.0                       4.0  Medium/ Medium           2020-01-01   \n",
       "6    420000.0                       4.0      High/ High           2020-01-01   \n",
       "8    380000.0                       4.0    High/ Medium           2020-01-01   \n",
       "5    340000.0                       4.0    High/ Medium           2020-01-01   \n",
       "13   285000.0                       4.0    High/ Medium           2020-01-01   \n",
       "21   200000.0                       4.0      High/ High           2020-01-01   \n",
       "24   215000.0                       4.0    Medium/ High           2020-01-01   \n",
       "31   205000.0                       3.0    High/ Medium           2020-01-01   \n",
       "39   165000.0                       4.0    Medium/ High           2020-01-01   \n",
       "50   135000.0                       3.0       High/ Low           2020-01-01   \n",
       "52   125000.0                       3.0    High/ Medium           2020-01-01   \n",
       "49   250000.0                       3.0    High/ Medium           2020-01-01   \n",
       "46   195000.0                       3.0  Medium/ Medium           2020-01-01   \n",
       "64   160000.0                       3.0      High/ High           2020-01-01   \n",
       "71   150000.0                       3.0  Medium/ Medium           2020-01-01   \n",
       "73   160000.0                       3.0    Medium/ High           2020-01-01   \n",
       "75   185000.0                       3.0    Medium/ High           2020-01-01   \n",
       "102   38000.0                       3.0  Medium/ Medium           2020-01-01   \n",
       "104   96000.0                       3.0    Medium/ High           2020-01-01   \n",
       "103  145000.0                       3.0      High/ High           2020-01-01   \n",
       "\n",
       "     Joined  Height  Weight  Stamina  Strength  Release Clause Position  \n",
       "3      2011    6.40   168.0     43.0      64.0     138600000.0       GK  \n",
       "6      2012    5.80   146.0     89.0      58.0     137400000.0      RCM  \n",
       "8      2005    6.00   181.0     84.0      83.0     104600000.0      RCB  \n",
       "5      2012    5.80   163.0     83.0      66.0     172100000.0       LF  \n",
       "13     2010    5.80   148.0     78.0      52.0     111000000.0      LCM  \n",
       "21     2013    6.10   170.0     92.0      78.0     111000000.0       LS  \n",
       "24     2005    6.20   187.0     65.0      89.0      44600000.0      LCB  \n",
       "31     2013    5.11   168.0     92.0      58.0     141500000.0      CAM  \n",
       "39     2012    6.00   181.0     74.0      82.0      44400000.0      RCB  \n",
       "50     2013    5.70   134.0     75.0      42.0      76500000.0       RF  \n",
       "52     2007    6.00   174.0     84.0      67.0      79100000.0      LCM  \n",
       "49     2012    5.70   150.0     91.0      61.0      77900000.0       LB  \n",
       "46     2014    6.10   176.0     39.0      75.0      62500000.0       GK  \n",
       "64     2015    5.11   176.0     92.0      79.0      60200000.0       LB  \n",
       "71     2015    6.10   179.0     74.0      79.0      75100000.0      RCB  \n",
       "73     2014    6.20   207.0     69.0      91.0      49500000.0       CB  \n",
       "75     2013    5.10   148.0     79.0      76.0      33300000.0      CDM  \n",
       "102    2016    6.60   201.0     61.0      83.0      15300000.0       CB  \n",
       "104    2017    6.10   172.0     65.0      79.0      26400000.0       CB  \n",
       "103    2017    5.11   165.0     94.0      76.0      42900000.0       LM  "
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_20"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "chief-wildlife",
   "metadata": {},
   "source": [
    "a) What would the average wage for this set of players be?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "id": "cultural-butler",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "205450.0"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_20['Wage'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "working-facing",
   "metadata": {},
   "source": [
    "b) What is the average age?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "stock-alloy",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30.65"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_20['Age'].mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "revolutionary-cardiff",
   "metadata": {},
   "source": [
    "c) Is there a correlation between the Overall rating and Value for these players?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "id": "special-aquarium",
   "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>Value</th>\n",
       "      <th>Overall</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Value</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.534645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Overall</th>\n",
       "      <td>0.534645</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Value   Overall\n",
       "Value    1.000000  0.534645\n",
       "Overall  0.534645  1.000000"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr = df.loc[:,['Value','Overall']].corr()\n",
    "corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "employed-associate",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  FutureWarning\n"
     ]
    },
    {
     "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.scatterplot(df['Overall'],df['Value'])\n",
    "plt.title('Correlation Between Overall rating and Value')\n",
    "plt.savefig('Scatter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "id": "boolean-picking",
   "metadata": {},
   "outputs": [
    {
     "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(corr)\n",
    "plt.title('Correlation Between Overall rating and Value')\n",
    "plt.savefig('Heat_map')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "id": "extraordinary-calcium",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ST     2152\n",
       "GK     2025\n",
       "CB     1778\n",
       "CM     1394\n",
       "LB     1322\n",
       "RB     1291\n",
       "RM     1124\n",
       "LM     1095\n",
       "CAM     958\n",
       "CDM     948\n",
       "RCB     662\n",
       "LCB     648\n",
       "LCM     395\n",
       "RCM     391\n",
       "LW      381\n",
       "RW      370\n",
       "RDM     248\n",
       "LDM     243\n",
       "LS      207\n",
       "RS      203\n",
       "RWB      87\n",
       "LWB      78\n",
       "CF       74\n",
       "RAM      21\n",
       "LAM      21\n",
       "RF       16\n",
       "LF       15\n",
       "Name: Position, dtype: int64"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Position'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "id": "final-philosophy",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: FutureWarning: Indexing with multiple keys (implicitly converted to a tuple of keys) will be deprecated, use a list instead.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "df_5 = df.groupby('Position')['Position','Overall','Name','Wage'].head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "id": "olympic-chambers",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\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>Position</th>\n",
       "      <th>Overall</th>\n",
       "      <th>Name</th>\n",
       "      <th>Wage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>RF</td>\n",
       "      <td>94</td>\n",
       "      <td>L. Messi</td>\n",
       "      <td>565000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ST</td>\n",
       "      <td>94</td>\n",
       "      <td>Cristiano Ronaldo</td>\n",
       "      <td>405000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LW</td>\n",
       "      <td>92</td>\n",
       "      <td>Neymar Jr</td>\n",
       "      <td>290000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>GK</td>\n",
       "      <td>91</td>\n",
       "      <td>De Gea</td>\n",
       "      <td>260000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>RCM</td>\n",
       "      <td>91</td>\n",
       "      <td>K. De Bruyne</td>\n",
       "      <td>355000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5018</th>\n",
       "      <td>NaN</td>\n",
       "      <td>70</td>\n",
       "      <td>R. Raldes</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6736</th>\n",
       "      <td>NaN</td>\n",
       "      <td>68</td>\n",
       "      <td>J. Arce</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7922</th>\n",
       "      <td>NaN</td>\n",
       "      <td>67</td>\n",
       "      <td>L. Gutiérrez</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9905</th>\n",
       "      <td>NaN</td>\n",
       "      <td>66</td>\n",
       "      <td>R. Vargas</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10628</th>\n",
       "      <td>NaN</td>\n",
       "      <td>65</td>\n",
       "      <td>D. Bejarano</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>140 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Position  Overall               Name      Wage\n",
       "0           RF       94           L. Messi  565000.0\n",
       "1           ST       94  Cristiano Ronaldo  405000.0\n",
       "2           LW       92          Neymar Jr  290000.0\n",
       "3           GK       91             De Gea  260000.0\n",
       "4          RCM       91       K. De Bruyne  355000.0\n",
       "...        ...      ...                ...       ...\n",
       "5018       NaN       70          R. Raldes       0.0\n",
       "6736       NaN       68            J. Arce       0.0\n",
       "7922       NaN       67       L. Gutiérrez       0.0\n",
       "9905       NaN       66          R. Vargas       0.0\n",
       "10628      NaN       65        D. Bejarano       0.0\n",
       "\n",
       "[140 rows x 4 columns]"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "collaborative-manual",
   "metadata": {},
   "source": [
    "a) Are there any players appearing in more than one Table. Please point out such players."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "id": "satellite-provider",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "J. Rodríguez        11\n",
       "Paulinho             8\n",
       "R. Williams          7\n",
       "J. Williams          7\n",
       "J. Gómez             6\n",
       "                    ..\n",
       "Ricardo Ferreira     2\n",
       "J. David             2\n",
       "B. Lozano            2\n",
       "João Moutinho        2\n",
       "L. Bender            2\n",
       "Name: Name, Length: 762, dtype: int64"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "players = df['Name'].value_counts()\n",
    "players[players>1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "local-directive",
   "metadata": {},
   "source": [
    "b) What is the average wage one can expect to pay for the top 5 in every position?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "id": "increased-community",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_5_wage = df_5.groupby('Position')[['Wage']].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "id": "annoying-executive",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Wage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Position</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CAM</th>\n",
       "      <td>174000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CB</th>\n",
       "      <td>139600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CDM</th>\n",
       "      <td>217000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CF</th>\n",
       "      <td>47400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM</th>\n",
       "      <td>130600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GK</th>\n",
       "      <td>192800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LAM</th>\n",
       "      <td>81600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LB</th>\n",
       "      <td>177200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LCB</th>\n",
       "      <td>162000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LCM</th>\n",
       "      <td>184400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LDM</th>\n",
       "      <td>126600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LF</th>\n",
       "      <td>121200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LM</th>\n",
       "      <td>164600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LS</th>\n",
       "      <td>130200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LW</th>\n",
       "      <td>261000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LWB</th>\n",
       "      <td>34200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RAM</th>\n",
       "      <td>45400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RB</th>\n",
       "      <td>155400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RCB</th>\n",
       "      <td>231000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RCM</th>\n",
       "      <td>240800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RDM</th>\n",
       "      <td>105000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RF</th>\n",
       "      <td>148000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RM</th>\n",
       "      <td>131400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RS</th>\n",
       "      <td>132200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RW</th>\n",
       "      <td>202000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RWB</th>\n",
       "      <td>44200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ST</th>\n",
       "      <td>294000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Wage\n",
       "Position          \n",
       "CAM       174000.0\n",
       "CB        139600.0\n",
       "CDM       217000.0\n",
       "CF         47400.0\n",
       "CM        130600.0\n",
       "GK        192800.0\n",
       "LAM        81600.0\n",
       "LB        177200.0\n",
       "LCB       162000.0\n",
       "LCM       184400.0\n",
       "LDM       126600.0\n",
       "LF        121200.0\n",
       "LM        164600.0\n",
       "LS        130200.0\n",
       "LW        261000.0\n",
       "LWB        34200.0\n",
       "RAM        45400.0\n",
       "RB        155400.0\n",
       "RCB       231000.0\n",
       "RCM       240800.0\n",
       "RDM       105000.0\n",
       "RF        148000.0\n",
       "RM        131400.0\n",
       "RS        132200.0\n",
       "RW        202000.0\n",
       "RWB        44200.0\n",
       "ST        294000.0"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_5_wage"
   ]
  }
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