{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "title: Exploratory Data Analysis\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from math import floor\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as mticker\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set_theme(context = 'paper', style = 'ticks', palette = 'deep', color_codes = True)\n",
    "plt.rcParams['figure.autolayout'] = True\n",
    "plt.rcParams['figure.dpi'] = 300"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### EDA of match_results "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>League</th>\n",
       "      <th>Country</th>\n",
       "      <th>Date</th>\n",
       "      <th>Team</th>\n",
       "      <th>Goals</th>\n",
       "      <th>Result</th>\n",
       "      <th>isHome</th>\n",
       "      <th>HeadCoach</th>\n",
       "      <th>DaysInPost</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Premier League</td>\n",
       "      <td>England</td>\n",
       "      <td>2014-08-16</td>\n",
       "      <td>Manchester Utd</td>\n",
       "      <td>1.0</td>\n",
       "      <td>loss</td>\n",
       "      <td>True</td>\n",
       "      <td>Louis van Gaal</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Premier League</td>\n",
       "      <td>England</td>\n",
       "      <td>2014-08-16</td>\n",
       "      <td>Arsenal</td>\n",
       "      <td>2.0</td>\n",
       "      <td>win</td>\n",
       "      <td>True</td>\n",
       "      <td>Arsène Wenger</td>\n",
       "      <td>6528.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Premier League</td>\n",
       "      <td>England</td>\n",
       "      <td>2014-08-17</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>2.0</td>\n",
       "      <td>win</td>\n",
       "      <td>True</td>\n",
       "      <td>Brendan Rodgers</td>\n",
       "      <td>777.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Premier League</td>\n",
       "      <td>England</td>\n",
       "      <td>2014-08-17</td>\n",
       "      <td>Newcastle Utd</td>\n",
       "      <td>0.0</td>\n",
       "      <td>loss</td>\n",
       "      <td>True</td>\n",
       "      <td>Alan Pardew</td>\n",
       "      <td>1347.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Premier League</td>\n",
       "      <td>England</td>\n",
       "      <td>2014-11-01</td>\n",
       "      <td>Newcastle Utd</td>\n",
       "      <td>1.0</td>\n",
       "      <td>win</td>\n",
       "      <td>True</td>\n",
       "      <td>Alan Pardew</td>\n",
       "      <td>1423.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           League  Country       Date            Team  Goals Result  isHome  \\\n",
       "0  Premier League  England 2014-08-16  Manchester Utd    1.0   loss    True   \n",
       "1  Premier League  England 2014-08-16         Arsenal    2.0    win    True   \n",
       "2  Premier League  England 2014-08-17       Liverpool    2.0    win    True   \n",
       "3  Premier League  England 2014-08-17   Newcastle Utd    0.0   loss    True   \n",
       "4  Premier League  England 2014-11-01   Newcastle Utd    1.0    win    True   \n",
       "\n",
       "         HeadCoach  DaysInPost  \n",
       "0   Louis van Gaal        33.0  \n",
       "1    Arsène Wenger      6528.0  \n",
       "2  Brendan Rodgers       777.0  \n",
       "3      Alan Pardew      1347.0  \n",
       "4      Alan Pardew      1423.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match_results = pd.read_csv('data/match_results.csv', parse_dates=['Date'], dtype = {'HeadCoach' : 'str'})\n",
    "match_results.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "head_coach = pd.read_csv('data/head_coach.csv', dtype = {'HeadCoach' : 'str'}, parse_dates=['Appointed', 'EndDate'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "min_season = match_results['Date'].dt.year.min() + 1\n",
    "max_season = match_results['Date'].dt.year.max()\n",
    "leagues = \", \".join(match_results['League'].unique())\n",
    "n_match = floor(len(match_results) / 2)\n",
    "n_team = match_results['Team'].nunique()\n",
    "n_team_no_coach = match_results.groupby(['Team'])['HeadCoach'].apply(lambda x: x.isnull().all()).sum()\n",
    "perc_match_no_coach = (match_results['HeadCoach'].isnull().sum() / len(match_results)) * 100\n",
    "n_coach = head_coach['HeadCoach'].nunique()\n",
    "n_appointments = len(head_coach)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "label": "match_data_summary",
    "user_expressions": [
     {
      "expression": "min_season",
      "result": {
       "data": {
        "text/plain": "2015"
       },
       "metadata": {},
       "status": "ok"
      }
     },
     {
      "expression": "max_season",
      "result": {
       "data": {
        "text/plain": "2023"
       },
       "metadata": {},
       "status": "ok"
      }
     },
     {
      "expression": "leagues",
      "result": {
       "data": {
        "text/plain": "'Premier League, La Liga, Ligue 1, Bundesliga, Serie A'"
       },
       "metadata": {},
       "status": "ok"
      }
     },
     {
      "expression": "n_match",
      "result": {
       "data": {
        "text/plain": "14361"
       },
       "metadata": {},
       "status": "ok"
      }
     },
     {
      "expression": "n_team",
      "result": {
       "data": {
        "text/plain": "161"
       },
       "metadata": {},
       "status": "ok"
      }
     },
     {
      "expression": "n_team",
      "result": {
       "data": {
        "text/plain": "161"
       },
       "metadata": {},
       "status": "ok"
      }
     },
     {
      "expression": "n_team_no_coach",
      "result": {
       "data": {
        "text/plain": "95"
       },
       "metadata": {},
       "status": "ok"
      }
     },
     {
      "expression": "f'{perc_match_no_coach:.0f}'",
      "result": {
       "data": {
        "text/plain": "'46'"
       },
       "metadata": {},
       "status": "ok"
      }
     },
     {
      "expression": "n_appointments",
      "result": {
       "data": {
        "text/plain": "381"
       },
       "metadata": {},
       "status": "ok"
      }
     },
     {
      "expression": "n_coach",
      "result": {
       "data": {
        "text/plain": "249"
       },
       "metadata": {},
       "status": "ok"
      }
     }
    ]
   },
   "source": [
    "Nous avons collecté les résultats des matchs et les mandats des entraîneurs sportif chef de la première division masculine de football pour les saisons {eval}`min_season` - {eval}`max_season` et pour les ligues suivantes : {eval}`leagues`.\n",
    "\n",
    "Cela correspond à un total de {eval}`n_match` matchs joués par {eval}`n_team` équipes.\n",
    "Parmi ces {eval}`n_team` équipes, {eval}`n_team_no_coach` équipes n'ont pas d'information sur les mandats des entraîneurs chefs pour tout ou partie des saisons 2015 à 2023. En proportion de match c'est {eval}`f'{perc_match_no_coach:.0f}'` % des matchs qui ne comportent pas d'information sur l'entraîneur chef.\n",
    "\n",
    "Les données des mandats des entraîneurs sportifs contiennent {eval}`n_appointments` mandat d'entraîneurs chefs parmi {eval}`n_coach` entraîneurs uniques."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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></th>\n",
       "      <th>Number of Teams</th>\n",
       "      <th>Number of Matches</th>\n",
       "      <th>Percentage of Matches without Head Coach</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>League</th>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>La Liga</th>\n",
       "      <th>Spain</th>\n",
       "      <td>31</td>\n",
       "      <td>6145</td>\n",
       "      <td>48.23%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ligue 1</th>\n",
       "      <th>France</th>\n",
       "      <td>32</td>\n",
       "      <td>6043</td>\n",
       "      <td>51.98%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Serie A</th>\n",
       "      <th>Italy</th>\n",
       "      <td>34</td>\n",
       "      <td>5927</td>\n",
       "      <td>34.64%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Premier League</th>\n",
       "      <th>England</th>\n",
       "      <td>33</td>\n",
       "      <td>5582</td>\n",
       "      <td>53.78%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bundesliga</th>\n",
       "      <th>Germany</th>\n",
       "      <td>31</td>\n",
       "      <td>5026</td>\n",
       "      <td>38.32%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Number of Teams  Number of Matches  \\\n",
       "League         Country                                       \n",
       "La Liga        Spain                 31               6145   \n",
       "Ligue 1        France                32               6043   \n",
       "Serie A        Italy                 34               5927   \n",
       "Premier League England               33               5582   \n",
       "Bundesliga     Germany               31               5026   \n",
       "\n",
       "                       Percentage of Matches without Head Coach  \n",
       "League         Country                                           \n",
       "La Liga        Spain                                     48.23%  \n",
       "Ligue 1        France                                    51.98%  \n",
       "Serie A        Italy                                     34.64%  \n",
       "Premier League England                                   53.78%  \n",
       "Bundesliga     Germany                                   38.32%  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#| label: data_summary\n",
    "\n",
    "match_summary = match_results.groupby(['League', 'Country']).agg(\n",
    "    {\n",
    "        'Team' : 'nunique',\n",
    "        'Date' : 'size',\n",
    "        'HeadCoach': lambda x: str(round((x.isnull().sum() / len(x)) * 100, 2)) + '%'\n",
    "    }\n",
    ")\n",
    "\n",
    "match_summary.columns = ['Number of Teams', 'Number of Matches', 'Percentage of Matches without Head Coach']\n",
    "match_summary.sort_values(by = 'Number of Matches', ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1920x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| label: match_distribution\n",
    "\n",
    "# Plot distribution of match \n",
    "plt.figure()\n",
    "sns.histplot(match_results['Date'].dt.month, bins=12, stat='density', discrete = True, alpha = 1)\n",
    "plt.title('Monthly Distribution of Matches')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Density')\n",
    "plt.gca().yaxis.set_major_formatter(mticker.PercentFormatter(xmax=1))\n",
    "months = pd.date_range('2022-01-01', '2022-12-31', freq='ME').strftime('%b').tolist()\n",
    "plt.xticks(range(1, 13), months);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Effet du jeu à domicile ou à l'extérieur sur la performance des équipes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "home_goal = match_results[match_results['isHome']]['Goals'].mean()\n",
    "away_goal = match_results[~match_results['isHome']]['Goals'].mean()\n",
    "diff_goal_perc = ((home_goal - away_goal) / home_goal) * 100\n",
    "\n",
    "home_win = match_results[match_results['isHome']]['Result'].value_counts(normalize=True)['win']\n",
    "away_win = match_results[~match_results['isHome']]['Result'].value_counts(normalize=True)['win']\n",
    "diff_win_perc = (home_win - away_win) * 100\n",
    "home_draw = match_results[match_results['isHome']]['Result'].value_counts(normalize=True)['draw']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "label": "home_advantage_text",
    "user_expressions": [
     {
      "expression": "f'{home_goal:.2f}'",
      "result": {
       "data": {
        "text/plain": "'1.50'"
       },
       "metadata": {},
       "status": "ok"
      }
     },
     {
      "expression": "f'{away_goal:.2f}'",
      "result": {
       "data": {
        "text/plain": "'1.18'"
       },
       "metadata": {},
       "status": "ok"
      }
     },
     {
      "expression": "f'{diff_goal_perc:.0f}'",
      "result": {
       "data": {
        "text/plain": "'22'"
       },
       "metadata": {},
       "status": "ok"
      }
     },
     {
      "expression": "f'{home_win*100:.0f}'",
      "result": {
       "data": {
        "text/plain": "'43'"
       },
       "metadata": {},
       "status": "ok"
      }
     },
     {
      "expression": "f'{away_win*100:.0f}'",
      "result": {
       "data": {
        "text/plain": "'29'"
       },
       "metadata": {},
       "status": "ok"
      }
     },
     {
      "expression": "f'{home_draw*100:.0f}'",
      "result": {
       "data": {
        "text/plain": "'25'"
       },
       "metadata": {},
       "status": "ok"
      }
     }
    ]
   },
   "source": [
    "En moyenne, l’équipe qui joue à domicile marque {eval}`f'{home_goal:.2f}'` but contre {eval}`f'{away_goal:.2f}'` but pour l’équipe jouant à l’extérieur ({eval}`f'{diff_goal_perc:.0f}'`% moins de buts). Ainsi, les équipes jouant remportent {eval}`f'{home_win*100:.0f}'` % de leurs matchs contre {eval}`f'{away_win*100:.0f}'` % pour les équipes jouant à l'extérieur. Les matchs nuls représentent {eval}`f'{home_draw*100:.0f}'` % des matchs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1920x1440 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| label: venue_effect\n",
    "plt.figure()\n",
    "sns.countplot(data=match_results[match_results['isHome']], x='Result', hue = \"Result\",\n",
    "               order = ['win', 'draw', 'loss'], stat = 'proportion', palette = ['red', 'green', 'gray'], alpha = 0.75)\n",
    "plt.title('Match Outcome for Team playing at Home')\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Percentage of Matches')\n",
    "plt.gca().yaxis.set_major_formatter(mticker.PercentFormatter(xmax=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "TER",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}