IPL_Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "_cell_guid": "b396d205-159c-9bd6-2075-dde19e774f24"
   },
   "outputs": [],
   "source": [
    "# Import important libs\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "# create a function for labeling #\n",
    "def autolabel(rects):\n",
    "    for rect in rects:\n",
    "        height = rect.get_height()\n",
    "        ax.text(rect.get_x() + rect.get_width()/2., 1.02*height,\n",
    "                '%d' % int(height),\n",
    "                ha='center', va='bottom')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "_cell_guid": "a845e27e-f192-9552-8101-0f455b79dd5b"
   },
   "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>season</th>\n",
       "      <th>city</th>\n",
       "      <th>date</th>\n",
       "      <th>team1</th>\n",
       "      <th>team2</th>\n",
       "      <th>toss_winner</th>\n",
       "      <th>toss_decision</th>\n",
       "      <th>result</th>\n",
       "      <th>dl_applied</th>\n",
       "      <th>winner</th>\n",
       "      <th>win_by_runs</th>\n",
       "      <th>win_by_wickets</th>\n",
       "      <th>player_of_match</th>\n",
       "      <th>venue</th>\n",
       "      <th>umpire1</th>\n",
       "      <th>umpire2</th>\n",
       "      <th>umpire3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2017</td>\n",
       "      <td>Hyderabad</td>\n",
       "      <td>2017-04-05</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>Yuvraj Singh</td>\n",
       "      <td>Rajiv Gandhi International Stadium, Uppal</td>\n",
       "      <td>AY Dandekar</td>\n",
       "      <td>NJ Llong</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2017</td>\n",
       "      <td>Pune</td>\n",
       "      <td>2017-04-06</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>SPD Smith</td>\n",
       "      <td>Maharashtra Cricket Association Stadium</td>\n",
       "      <td>A Nand Kishore</td>\n",
       "      <td>S Ravi</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2017</td>\n",
       "      <td>Rajkot</td>\n",
       "      <td>2017-04-07</td>\n",
       "      <td>Gujarat Lions</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>CA Lynn</td>\n",
       "      <td>Saurashtra Cricket Association Stadium</td>\n",
       "      <td>Nitin Menon</td>\n",
       "      <td>CK Nandan</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2017</td>\n",
       "      <td>Indore</td>\n",
       "      <td>2017-04-08</td>\n",
       "      <td>Rising Pune Supergiant</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>field</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Kings XI Punjab</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>GJ Maxwell</td>\n",
       "      <td>Holkar Cricket Stadium</td>\n",
       "      <td>AK Chaudhary</td>\n",
       "      <td>C Shamshuddin</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2017</td>\n",
       "      <td>Bangalore</td>\n",
       "      <td>2017-04-08</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>Delhi Daredevils</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>bat</td>\n",
       "      <td>normal</td>\n",
       "      <td>0</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>KM Jadhav</td>\n",
       "      <td>M Chinnaswamy Stadium</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id  season       city        date                        team1  \\\n",
       "0   1    2017  Hyderabad  2017-04-05          Sunrisers Hyderabad   \n",
       "1   2    2017       Pune  2017-04-06               Mumbai Indians   \n",
       "2   3    2017     Rajkot  2017-04-07                Gujarat Lions   \n",
       "3   4    2017     Indore  2017-04-08       Rising Pune Supergiant   \n",
       "4   5    2017  Bangalore  2017-04-08  Royal Challengers Bangalore   \n",
       "\n",
       "                         team2                  toss_winner toss_decision  \\\n",
       "0  Royal Challengers Bangalore  Royal Challengers Bangalore         field   \n",
       "1       Rising Pune Supergiant       Rising Pune Supergiant         field   \n",
       "2        Kolkata Knight Riders        Kolkata Knight Riders         field   \n",
       "3              Kings XI Punjab              Kings XI Punjab         field   \n",
       "4             Delhi Daredevils  Royal Challengers Bangalore           bat   \n",
       "\n",
       "   result  dl_applied                       winner  win_by_runs  \\\n",
       "0  normal           0          Sunrisers Hyderabad           35   \n",
       "1  normal           0       Rising Pune Supergiant            0   \n",
       "2  normal           0        Kolkata Knight Riders            0   \n",
       "3  normal           0              Kings XI Punjab            0   \n",
       "4  normal           0  Royal Challengers Bangalore           15   \n",
       "\n",
       "   win_by_wickets player_of_match                                      venue  \\\n",
       "0               0    Yuvraj Singh  Rajiv Gandhi International Stadium, Uppal   \n",
       "1               7       SPD Smith    Maharashtra Cricket Association Stadium   \n",
       "2              10         CA Lynn     Saurashtra Cricket Association Stadium   \n",
       "3               6      GJ Maxwell                     Holkar Cricket Stadium   \n",
       "4               0       KM Jadhav                      M Chinnaswamy Stadium   \n",
       "\n",
       "          umpire1        umpire2 umpire3  \n",
       "0     AY Dandekar       NJ Llong     NaN  \n",
       "1  A Nand Kishore         S Ravi     NaN  \n",
       "2     Nitin Menon      CK Nandan     NaN  \n",
       "3    AK Chaudhary  C Shamshuddin     NaN  \n",
       "4             NaN            NaN     NaN  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read the input files and look at the top few lines #\n",
    "data_path = \"dataset/2008_2018/\"\n",
    "match_df = pd.read_csv(data_path+\"matches.csv\")\n",
    "score_df = pd.read_csv(data_path+\"deliveries.csv\")\n",
    "match_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "_cell_guid": "c91a67e7-f712-b492-8f63-600148d18605"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of matches played so far :  696\n",
      "Number of seasons :  11\n"
     ]
    }
   ],
   "source": [
    "# Let us get some basic stats #\n",
    "print(\"Number of matches played so far : \", match_df.shape[0])\n",
    "print(\"Number of seasons : \", len(match_df.season.unique()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "5749523f-ac21-4b34-b2aa-c6c61875563c"
   },
   "source": [
    "**Number of matches each season:**\n",
    "\n",
    "Let us first look at the number of matches played per season."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "_cell_guid": "09fae6d7-874f-a3d7-55de-78134c9b3586"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='season', data=match_df)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "4cfe093b-3a46-8b3d-35af-72b358bdd95f"
   },
   "source": [
    "There is a spike in the middle for three years where the number of matches are more than 70. \n",
    "\n",
    "**Number of matches in each venue:**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "_cell_guid": "cae8b05d-f517-bef9-7dc9-0f1ad714ca92"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(x='venue', data=match_df)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "eef2d523-e0d2-8745-c29c-1f010bbe7262"
   },
   "source": [
    "There are quite a few venues present in the data with \"M Chinnaswamy Stadium\" being the one with most number of matches followed by \"Eden Gardens\".\n",
    "\n",
    "**Number of matches played by each team:**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "_cell_guid": "8ab4289b-e8f2-0e96-c100-2a53ebbfa6ad"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_df = pd.melt(match_df, id_vars=['id','season'], value_vars=['team1', 'team2'])\n",
    "\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(x='value', data=temp_df)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "db4d31de-ba1e-6adc-db73-c0f7a8f57115"
   },
   "source": [
    "\"Mumbai Indians\" lead the pack with most number of matches played followed by \"Royal Challengers Bangalore\". \n",
    "\n",
    "**Number of wins per team:**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "_cell_guid": "434f402a-adf1-0575-d49c-b0be095f9b6d"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(x='winner', data=match_df)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "a8505a72-1113-65f3-b82d-7f3bae017218"
   },
   "source": [
    "MI again leads the pack followed by CSK.\n",
    "\n",
    "**Champions each season:**\n",
    "\n",
    "Now let us see the champions in each season."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "_cell_guid": "c377f741-9859-0f5d-74d7-fffe63ea623a"
   },
   "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>season</th>\n",
       "      <th>winner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2008</td>\n",
       "      <td>Rajasthan Royals</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2009</td>\n",
       "      <td>Deccan Chargers</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2010</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2011</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2012</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2013</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2014</td>\n",
       "      <td>Kolkata Knight Riders</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2015</td>\n",
       "      <td>Mumbai Indians</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2016</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2018</td>\n",
       "      <td>Chennai Super Kings</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    season                 winner\n",
       "0     2017         Mumbai Indians\n",
       "1     2008       Rajasthan Royals\n",
       "2     2009        Deccan Chargers\n",
       "3     2010    Chennai Super Kings\n",
       "4     2011    Chennai Super Kings\n",
       "5     2012  Kolkata Knight Riders\n",
       "6     2013         Mumbai Indians\n",
       "7     2014  Kolkata Knight Riders\n",
       "8     2015         Mumbai Indians\n",
       "9     2016    Sunrisers Hyderabad\n",
       "10    2018    Chennai Super Kings"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp_df = match_df.drop_duplicates(subset=['season'], keep='last')[['season', 'winner']].reset_index(drop=True)\n",
    "temp_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "916f2927-3b1c-b21d-19aa-107cc882000d"
   },
   "source": [
    "**Toss decision:**\n",
    "\n",
    "Let us see the toss decisions taken so far."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "_cell_guid": "c4836759-3335-4eb7-f792-133585cefd8f"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_series = match_df.toss_decision.value_counts()\n",
    "labels = (np.array(temp_series.index))\n",
    "sizes = (np.array((temp_series / temp_series.sum())*100))\n",
    "colors = ['gold', 'lightskyblue']\n",
    "plt.pie(sizes, labels=labels, colors=colors,\n",
    "        autopct='%1.1f%%', shadow=True, startangle=90)\n",
    "plt.title(\"Toss decision percentage\")\n",
    "plt.show()\n",
    "          "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "6cca5f59-8775-9fb7-fac7-25256481639d"
   },
   "source": [
    "Almost 55% of the toss decisions are made to field first. Now let us see how this decision varied over time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "_cell_guid": "2e932edc-65d8-c766-558f-a05c3758973e"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(x='season', hue='toss_decision', data=match_df)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "5b51d9a4-7898-5e40-c4c5-b11ff5c22a14"
   },
   "source": [
    "\n",
    "Since there is a very strong trend towards batting second let us see the win percentage of teams batting second."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "_cell_guid": "0f196810-83c9-368c-def8-af21f4d88b87"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_of_wins = (match_df.win_by_wickets>0).sum()\n",
    "num_of_loss = (match_df.win_by_wickets==0).sum()\n",
    "labels = [\"Wins\", \"Loss\"]\n",
    "total = float(num_of_wins + num_of_loss)\n",
    "sizes = [(num_of_wins/total)*100, (num_of_loss/total)*100]\n",
    "colors = ['gold', 'lightskyblue']\n",
    "plt.pie(sizes, labels=labels, colors=colors,\n",
    "        autopct='%1.1f%%', shadow=True, startangle=90)\n",
    "plt.title(\"Win percentage batting second\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "b3827e31-182f-6739-bffc-d21398ff07b8"
   },
   "source": [
    "So percentage of times teams batting second has won is 53.2. Now let us split this by year and see the distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "_cell_guid": "1f960516-8a19-f853-a3b7-9da64e96dcc7"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nimitsolanki/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:2: DeprecationWarning: \n",
      ".ix is deprecated. Please use\n",
      ".loc for label based indexing or\n",
      ".iloc for positional indexing\n",
      "\n",
      "See the documentation here:\n",
      "http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\n",
      "  \n",
      "/Users/nimitsolanki/anaconda3/lib/python3.7/site-packages/pandas/core/indexing.py:189: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "match_df[\"field_win\"] = \"win\"\n",
    "match_df[\"field_win\"].ix[match_df['win_by_wickets']==0] = \"loss\"\n",
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(x='season', hue='field_win', data=match_df)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "ac7df6b3-4a8e-d47e-80f7-0383a2f7fd53"
   },
   "source": [
    "Number of wins batting second is also quite high \n",
    "\n",
    "**Top players of the match:**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "_cell_guid": "b09dd8d2-b539-46c9-31f3-1b8707dd61e3"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "temp_series = match_df.player_of_match.value_counts()[:10]\n",
    "labels = np.array(temp_series.index)\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_series), width=width, color='y')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Top player of the match awardees\")\n",
    "autolabel(rects)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "927c9130-4027-0d93-46c9-160648a6fcfb"
   },
   "source": [
    "CH Gayle is the top player of the match awardee in all the seasons of IPL.\n",
    "\n",
    "**Top Umpires:**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "_cell_guid": "8c50aaf6-d980-820a-23e1-bfd8a2a66aa2"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_df = pd.melt(match_df, id_vars=['id'], value_vars=['umpire1', 'umpire2'])\n",
    "\n",
    "temp_series = temp_df.value.value_counts()[:10]\n",
    "labels = np.array(temp_series.index)\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_series), width=width, color='r')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Top Umpires\")\n",
    "autolabel(rects)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "d3570b82-7227-d6c5-c3ac-be2b2f814b19"
   },
   "source": [
    "Dharmasena seems to be the most sought after umpire for IPL matches followed by Ravi. Others are fairly close to each other.\n",
    "\n",
    "**How lucky are the toss winning teams?:**\n",
    "\n",
    "Now let us see how lucky is the toss winner. Do they often end up on the winning side?! Let us see."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "_cell_guid": "35256ade-89a2-e99b-a220-f595ab5b006a"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nimitsolanki/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:2: DeprecationWarning: \n",
      ".ix is deprecated. Please use\n",
      ".loc for label based indexing or\n",
      ".iloc for positional indexing\n",
      "\n",
      "See the documentation here:\n",
      "http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\n",
      "  \n",
      "/Users/nimitsolanki/anaconda3/lib/python3.7/site-packages/pandas/core/indexing.py:189: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "match_df['toss_winner_is_winner'] = 'no'\n",
    "match_df['toss_winner_is_winner'].ix[match_df.toss_winner == match_df.winner] = 'yes'\n",
    "temp_series = match_df.toss_winner_is_winner.value_counts()\n",
    "\n",
    "labels = (np.array(temp_series.index))\n",
    "sizes = (np.array((temp_series / temp_series.sum())*100))\n",
    "colors = ['gold', 'lightskyblue']\n",
    "plt.pie(sizes, labels=labels, colors=colors,\n",
    "        autopct='%1.1f%%', shadow=True, startangle=90)\n",
    "plt.title(\"Toss winner is match winner\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "5eea0ee3-ef5c-cafd-2720-79162a3a0804"
   },
   "source": [
    "It is not really the case it seems. The chance is 50-50 for both the teams.\n",
    "\n",
    "Let us also look at the team wise break up. If the team wins the toss, will it end up in the winning side. Will be interesting to see."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "_cell_guid": "a1207fa8-d202-21b2-ffce-422b1a7e68f0"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(x='toss_winner', hue='toss_winner_is_winner', data=match_df)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "c74c240f-26be-ba55-ea18-035d22591913"
   },
   "source": [
    "It seems for Chennai Super Kings (CSK) winning the toss is an indication of winning the match with high probability.\n",
    "\n",
    "On the other hand, Pune Warriors end up losing the matches more often when they won the toss. \n",
    "\n",
    "So far we have looked at the match data to get insights. Now let us look at the delivery dataset which is more granular to gain some more insights. To start with, let us look at the top few rows."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "_cell_guid": "8fb4d684-2c23-2a1c-5434-376a45c2ee31"
   },
   "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>match_id</th>\n",
       "      <th>inning</th>\n",
       "      <th>batting_team</th>\n",
       "      <th>bowling_team</th>\n",
       "      <th>over</th>\n",
       "      <th>ball</th>\n",
       "      <th>batsman</th>\n",
       "      <th>non_striker</th>\n",
       "      <th>bowler</th>\n",
       "      <th>is_super_over</th>\n",
       "      <th>...</th>\n",
       "      <th>bye_runs</th>\n",
       "      <th>legbye_runs</th>\n",
       "      <th>noball_runs</th>\n",
       "      <th>penalty_runs</th>\n",
       "      <th>batsman_runs</th>\n",
       "      <th>extra_runs</th>\n",
       "      <th>total_runs</th>\n",
       "      <th>player_dismissed</th>\n",
       "      <th>dismissal_kind</th>\n",
       "      <th>fielder</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Sunrisers Hyderabad</td>\n",
       "      <td>Royal Challengers Bangalore</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>DA Warner</td>\n",
       "      <td>S Dhawan</td>\n",
       "      <td>TS Mills</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   match_id  inning         batting_team                 bowling_team  over  \\\n",
       "0         1       1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "1         1       1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "2         1       1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "3         1       1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "4         1       1  Sunrisers Hyderabad  Royal Challengers Bangalore     1   \n",
       "\n",
       "   ball    batsman non_striker    bowler  is_super_over   ...    bye_runs  \\\n",
       "0     1  DA Warner    S Dhawan  TS Mills              0   ...           0   \n",
       "1     2  DA Warner    S Dhawan  TS Mills              0   ...           0   \n",
       "2     3  DA Warner    S Dhawan  TS Mills              0   ...           0   \n",
       "3     4  DA Warner    S Dhawan  TS Mills              0   ...           0   \n",
       "4     5  DA Warner    S Dhawan  TS Mills              0   ...           0   \n",
       "\n",
       "   legbye_runs  noball_runs  penalty_runs  batsman_runs  extra_runs  \\\n",
       "0            0            0             0             0           0   \n",
       "1            0            0             0             0           0   \n",
       "2            0            0             0             4           0   \n",
       "3            0            0             0             0           0   \n",
       "4            0            0             0             0           2   \n",
       "\n",
       "   total_runs  player_dismissed dismissal_kind fielder  \n",
       "0           0               NaN            NaN     NaN  \n",
       "1           0               NaN            NaN     NaN  \n",
       "2           4               NaN            NaN     NaN  \n",
       "3           0               NaN            NaN     NaN  \n",
       "4           2               NaN            NaN     NaN  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "score_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "5239f408-dc60-49b2-2f09-54ad438910eb"
   },
   "source": [
    "**Batsman analysis:**\n",
    "\n",
    "Let us start our analysis with batsman. Let us first see the ones with most number of IPL runs under their belt."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "_cell_guid": "72c60991-3b76-16dc-5e0d-5c05bdafa4a0"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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hw4ez6667Nit+/Wayiy66iJ49exIRvPvuuytcP2nSJNq0acNNN91U57iXkrc1nROHtQiNrZFV8p3vfIe99tqLz33uc3WO33///Vx++eW1a2cBtGnThmnTpjFz5kyeeOIJnn322WaVoX4z2R577MHf//53unXrtsK1S5cu5Yc//CFf/OIXVzjnpeRtTefEYS1CaY2smpoaRo4cyYQJEzj66KMB+MlPfsKcOXP41a9+VecxTz/9NMcffzy33norm2222QrPuemmmzJkyBDuvvvulcZvqJlsp512oqampsHrL7zwQg455BC22GKLOsc/7VLy9Ws7r7/+Orvuuiu9evXiiCOOYNGiRQC8+eab7L333vTt25chQ4bUNtEBjBs3jl69etGrVy/GjRtXUXyzikha42677LKLPos0p7qYW7XitqTY9d1///3af//9JUl/+MMftNtuu2nhwoV1rnnzzTfVo0cPPfLII3WOv/POO3rvvfckSQsXLtSee+6p22+/faW/80MOOUSTJ0+uE7ukW7dumjNnTu39mTNnaq+99tKSJUs0evRo3XjjjZKkpUuX6vOf/7zeeustXXHFFTrxxBNXGrfkf//3f3XkkUfWxj7ssMN03XXXSZK++c1v6pJLLpEkHXroobryyislSePHj9fRRx8tSZo7d666d++uuXPnat68eerevbvmzZvX7PhmkgRMVjPeY13jsBbtW9/6FrNnz2a33Xajf//+nHvuuQCce+65zJ07l+985zv079+fAQPSKglvv/02Q4cOpW/fvgwcOJDhw4fXfopvzMqayeo75ZRTGDNmDG3atKlz/NMuJV+/tiOJCRMm1O62OHr0aP76178C8Pzzz7P33nsDMHToUG699VYA7rnnHoYPH06HDh1o3749w4cPb1ZNC5pf2ym56aabiAhKy/rMnTuXoUOHsuGGG7pfp7VoTnZZ3W6ucaxesavtjDPOUKdOndStWzdtueWWWn/99TVq1Kja8/VrHDU1NerWrZu6deumdu3aqWPHjrrlllt01FFHqUuXLurWrZs222wzbbTRRvrhD3+40vj1aztz5sxRjx49as+/9dZb2nHHHSVJRx55pC644AJJ0s033yxA7777rsaOHauf/vSntY8599xzNXbs2Ga9/ubWdiRp/vz5+tznPqddd91VkyZNkiR9+OGHevjhh/W73/2uolrWkiVL1L9//9q4r732mgYNGqSePXvq8MMP1yeffCJJ+t3vfqc+ffqoX79+2mOPPfTcc89Jkq655hr169ev9hYRmjp1arPj24pwjcOseRpbSr4xr7/+Om+88QZvvPEGhx56KJdccgkHH3zwp1pKvqHaTvr/ras0pPj888/nwQcfZKedduLBBx+kU6dOtG3btsnHNKWS2g6kjv/TTz+d9dZbr/ZYu3bt2HPPPesca476gxF++MMfcuqppzJ9+nTat2/P5ZdfDsBRRx3FM888w7Rp0zj99NM57bTTgDTHZ9q0aUybNo2rr76ampoa+vfv36zYza1lPfTQQ+y88860bdt2hdFz0HpH0DlxmDXit7/9LZ07d2bmzJn07du3WXuwV6qhQQGnnHIK77//PkuWLAGWb44FsM022/CXv/yFqVOn8rOf/QyATTbZpNENtVam/hDouXPnsummm9K2bdpxobQVMMDUqVOZMWPGSpv+mqOShLXxxhvXPm7BggUNJsTrrruOI488stnxm5u0unbtypVXXslRRx3V4PNUMoKusVUNJkyYwM4770yfPn0YPXp07e997Nix9O/fn/79+9OnTx/atGnDvHnzap+vfvIrVHOqJavbzU1Vq1dsS8o75g899NA6zUUXX3yxJGnOnDlaunSpJOnMM8/U2WefLSl1jtfU1GjevHmaN2+eampqNHfu3Cbj3X777fr2t79dJ/Y777yzQjNZnz59ajv+X3/9dUnS5z//+dqmqpJKBgRU0jwnSRdddJG23XZbde7cWS+//PIKz7ftttvqmWeeaVbsGTNmaNiwYRo/frz2339/LVu2TJtttpkWL14sSXr00Uc1YsSIOo8pHwRRMnnyZB1xxBHNft3Lli3TBx98IElatGiRBg0apEceeUSdO3fWSy+9JEk6++yzddlll63w2Ntuu01Dhw6tc6x+E+OqgJuqzFZfY8aM4Ve/+hU9e/Zk7ty5HHfccQA88MADbLfddvTu3ZvZs2dz1llnAdChQwfOPvtsBg4cyMCBA/nxj39Mhw4dmoxRSW3ngw8+4Nlnn2XIkCHU1NTw+OOPc+CBB/Jp9r2ptHkO4MQTT+TVV19lzJgxnHfeeXWumzhxIhtssEHtrpQrU0ktqzHLli3je9/7HmPHjm1WzNLrqb+qQZs2bVh33XXp3bs3AMOHD+fmm29e4bH1a1QNDR8vVHOyy+p2c43DsV3TqUxzajvlPkuNo6HBCEcdddRKP/VLacjzxhtvXOfYKaecop/97GfNep2V1LLK1a9xXHjhhRozZkxFr1tKAwL69eundu3a6fTTT9eyZcvUtWvX2p/lSSedtELsBQsWqH379nVqkE0NH/8scI3DzD6Nxmo7TampqeG0007jyiuvpHPnzjz//PONXtvQYIRrr72WoUOH1nZAjxs3joMOOgiA6dOn1z72zjvvpFevXrX3ly1bxo033sjIkSOb9doq7VNqzGOPPcZFF11ETU0N3//+97nqqqs444wzVhq//qoGzz33HNdffz2nnnoqgwYNYqONNqqt+ZTcfvvt7LHHHrU1yEqHj+eiOdlldbu5xuHYrnGsHso/Mb/66qsaOHCgevTooUMPPVQff/yxpPQpfIcddlC/fv00ZMgQPfvss3Uev+uuu37m2CurZTXUx1FS6WTPkv/+7/9eYcj0Pffco8MOO6zOsYMPPljXXntt7f2VDR//LGhmjaPZb8ar082Jw7GbmziqGduqqzlJ64knnlCnTp20wQYbqEOHDtphhx1WeJ7mJo7GVjWYPXu2JOnjjz+u7bQvef/999W+fXt9+OGHK30Nq0JzE0fbldVIzMzWREOGDGHIkCEAbLvttjzxxBMrXDNw4MA664E15Nhjj+XYY49daby3336b0aNHs3TpUpYtW8bhhx/OAQccwA9+8APuuOMOli1bxre//W2GDRtW+5hbbrmFESNG0K5du4peW94iJZkcA0S0ASYD/5R0QER0B64HOgBPAl+VtCgi1gWuAnYB5gJHSHoje44fAccBS4GTJN3TVMwBAwbo04z2WF7mT/3QipX/+IveNqI1xq7/517N2GYtTURMkTRgZdcV0Tl+MvBC2f0xwK8l9QLeIyUEsq/vSeoJ/Dq7jojYARgJ7AjsA1ySJSOz1VZL2XHR7NPINXFERGdgf+Cy7H4Aw4DS3P1xwMHZ9wdl98nO751dfxBwvaRPJL0OvAIMyrPcZmbWuLz7OC4ATgc2yu5vBrwvaUl2fybQKfu+EzADQNKSiPh3dn0noHzT6PLHmFmFWmuzpK06udU4IuIA4B1JU8oPN3CpVnKuqceUxzshIiZHxOQ5c+ZUXF4zW3O5aXDVyrPGsQdwYETsB6wHbEyqgWwaEW2zWkdnYFZ2/UygCzAzItoCmwDzyo6XlD+mlqRLgUshdY7n8orMzCpUzRpeXnKrcUj6kaTOkmpIndsTJI0C7gcOzS4bDdyafX9bdp/s/IRsXPFtwMiIWDcbkdULWHHcnJmZFaIa8zh+CFwfEecBU4HLs+OXA1dHxCukmsZIAEnPRcQNwPPAEuBESUuLL7aZmUEB8ziqwfM4HLs5casZu7X8vKsZuzW+5vqxK9WS5nGYmdkaxInDzMwq4sRhZmYVceIwM7OKOHGYmVlFnDjMzKwiThxmZlYRJw4zM6uIE4eZmVXEicPMzCrixGFmZhVx4jAzs4o4cZiZWUWcOMzMrCJOHGZmVhEnDjMzq4gTh5mZVcSJw8zMKuLEYWZmFXHiMDOzijhxmJlZRZw4zMysIk4cZmZWEScOMzOriBOHmZlVxInDzMwq4sRhZmYVceIwM7OKOHGYmVlFnDjMzKwiThxmZlYRJw4zM6uIE4eZmVUkt8QREetFxBMR8VREPBcRP8mOd4+IiRExPSL+HBHrZMfXze6/kp2vKXuuH2XHX4qIL+ZVZjMzW7k8axyfAMMk9QP6A/tExGBgDPBrSb2A94DjsuuPA96T1BP4dXYdEbEDMBLYEdgHuCQi2uRYbjMza0JuiUPJh9ndtbObgGHATdnxccDB2fcHZffJzu8dEZEdv17SJ5JeB14BBuVVbjMza1qufRwR0SYipgHvAPcBrwLvS1qSXTIT6JR93wmYAZCd/zewWfnxBh5jZmYFyzVxSFoqqT/QmVRL2L6hy7Kv0ci5xo7XEREnRMTkiJg8Z86cT1tkMzNbiUJGVUl6H3gAGAxsGhFts1OdgVnZ9zOBLgDZ+U2AeeXHG3hMeYxLJQ2QNKBjx455vAwzM6OZiSMi9mjOsXrnO0bEptn36wNfAF4A7gcOzS4bDdyafX9bdp/s/ARJyo6PzEZddQd6AU80p9xmZrbqtV35JQBcCOzcjGPltgbGZSOg1gJukHRHRDwPXB8R5wFTgcuz6y8Hro6IV0g1jZEAkp6LiBuA54ElwImSljaz3GZmtoo1mTgiYjdgd6BjRJxWdmpjoMkhsZKeBnZq4PhrNDAqStLHwGGNPNfPgJ81Fc/MzIqxshrHOsCG2XUblR2fz/LmJjMza0WaTBySHgQejIgrJb1ZUJnMzKwFa24fx7oRcSlQU/4YScPyKJSZmbVczU0cNwK/By4D3DFtZtaKNTdxLJH0u1xLYmZmq4XmTgC8PSK+ExFbR0SH0i3XkpmZWYvU3BpHaWLeD8qOCdh21RbHzMxaumYlDknd8y6ImZmtHpqVOCLimIaOS7pq1RbHzMxauuY2VQ0s+349YG/gScCJw8yslWluU9V/ld+PiE2Aq3MpkZmZtWifdln1haRVas3MrJVpbh/H7SzfPKkNaUOmG/IqlJmZtVzN7eM4v+z7JcCbkmbmUB4zM2vhmtVUlS12+CJphdz2wKI8C2VmZi1Xc3cAPJy0695hwOHAxIjwsupmZq1Qc5uqzgIGSnoH0rawwN+Bm/IqmJmZtUzNHVW1VilpZOZW8FgzM1uDNLfGcXdE3ANcl90/ArgrnyKZmVlLtrI9x3sCW0r6QUR8BdgTCOAx4NoCymdmZi3MypqbLgA+AJD0F0mnSTqVVNu4IO/CmZlZy7OyxFEj6en6ByVNJm0ja2ZmrczKEsd6TZxbf1UWxMzMVg8rSxyTIuIb9Q9GxHHAlHyKZGZmLdnKRlWdAtwSEaNYnigGAOsAX86zYGZm1jI1mTgkzQZ2j4ihQJ/s8J2SJuReMjMza5Gaux/H/cD9OZfFzMxWA579bWZmFXHiMDOzijhxmJlZRZw4zMysIk4cZmZWkdwSR0R0iYj7I+KFiHguIk7OjneIiPsiYnr2tX12PCLitxHxSkQ8HRE7lz3X6Oz66RExOq8ym5nZyuVZ41gCfE/S9sBg4MSI2AE4AxgvqRcwPrsPsC/QK7udAPwOUqIBzgF2BQYB55SSjZmZFS+3xCHpbUlPZt9/ALwAdAIOAsZll40DDs6+Pwi4SsnjwKYRsTXwReA+SfMkvQfcB+yTV7nNzKxphfRxREQNsBMwkbS/x9uQkguwRXZZJ2BG2cNmZscaO25mZlWQe+KIiA2Bm4FTJM1v6tIGjqmJ4/XjnBARkyNi8pw5cz5dYc3MbKVyTRwRsTYpaVwr6S/Z4dlZExTZ19Je5jOBLmUP7wzMauJ4HZIulTRA0oCOHTuu2hdiZma18hxVFcDlwAuSflV26jagNDJqNHBr2fFjstFVg4F/Z01Z9wAjIqJ91ik+IjtmZmZV0KxFDj+lPYCvAs9ExLTs2JnAL4Absj093gIOy87dBewHvAIsBL4GIGleRPwUmJRdd66keTmW28zMmpBb4pD0DxrunwDYu4HrBZzYyHP9EfjjqiudmZl9Wp45bmZmFXHiMDOzijhxmJlZRZw4zMysIk4cZmZWEScOMzOriBOHmZlVxInDzMwq4sRhZmYVceIwM7OKOHGYmVlFnDjMzKwiThxmZlYRJw4zM6uIE4eZmVXEicPMzCoTflClAAAa4klEQVTixGFmZhVx4jAzs4o4cZiZWUWcOMzMrCJOHGZmVhEnDjMzq4gTh5mZVcSJw8zMKuLEYWZmFXHiMDOzijhxmJlZRZw4zMysIk4cZmZWEScOMzOriBOHmZlVxInDzMwqklviiIg/RsQ7EfFs2bEOEXFfREzPvrbPjkdE/DYiXomIpyNi57LHjM6unx4Ro/Mqr5mZNU+eNY4rgX3qHTsDGC+pFzA+uw+wL9Aru50A/A5SogHOAXYFBgHnlJKNmZlVR26JQ9JDwLx6hw8CxmXfjwMOLjt+lZLHgU0jYmvgi8B9kuZJeg+4jxWTkZmZFajoPo4tJb0NkH3dIjveCZhRdt3M7Fhjx83MrEpaSud4NHBMTRxf8QkiToiIyRExec6cOau0cGZmtlzRiWN21gRF9vWd7PhMoEvZdZ2BWU0cX4GkSyUNkDSgY8eOq7zgZmaWFJ04bgNKI6NGA7eWHT8mG101GPh31pR1DzAiItpnneIjsmNmZlYlbfN64oi4DhgCbB4RM0mjo34B3BARxwFvAYdll98F7Ae8AiwEvgYgaV5E/BSYlF13rqT6He5mZlagkBrsMlitDRgwQJMnT/7Uj4+GelZyUv7jLzJua41d/8/dv+s1N3ZrfM31Y1cqIqZIGrCy61pK57iZma0mnDjMzKwiThxmZlYRJw4zM6uIE4eZmVXEicPMzCrixGFmZhVx4jAzs4o4cZiZWUWcOMzMrCJOHGZmVhEnDjMzq4gTh5mZVcSJw8zMKuLEYWZmFXHiMDOzijhxmJlZRZw4zMysIk4cZmZWEScOMzOriBOHmZlVxInDzMwq4sRhZmYVceIwM7OKOHGYmVlFnDjMzKwiThxmZlYRJw4zM6uIE4eZmVXEicPMzCrixGFmZhVx4jAzs4o4cZiZWUVWm8QREftExEsR8UpEnFHt8piZtVarReKIiDbAxcC+wA7AkRGxQ3VLZWbWOq0WiQMYBLwi6TVJi4DrgYOqXCYzs1apbbUL0EydgBll92cCu5ZfEBEnACdkdz+MiJcKKttnEsHmwLuOvWbHdWz/rleT2N2ac9HqkjiigWOqc0e6FLi0mOKsOhExWdIAx16z4zq2f9drUuzVpalqJtCl7H5nYFaVymJm1qqtLoljEtArIrpHxDrASOC2KpfJzKxVWi2aqiQtiYjvAvcAbYA/SnquysVaVarZvNYaY7fG19xaY7fG11xI7JC08qvMzMwyq0tTlZmZtRBOHGZmVhEnDjOzzyAi2kTEqdUuR5Hcx1EFEdGHtHTKeqVjkq7KMd4Fkk6JiNupN/8li31gXrHrlWN/YEfqvu5zc4y3FvC0pD55xWhGGQr9XdeLvTtQQ9kgmJz/zo6WdE1EnNbQeUm/yit2Fn8D4HtAV0nfiIhewHaS7sgzbhb7AUlD8o7TSOyTgSuAD4DLgJ2AMyTdm1fM1WJU1ZokIs4BhpDeTO4irb/1DyDPN5Ors6/n5xijSRHxe2ADYCjpj/tQ4Ik8Y0paFhFPRURXSW/lGashVfpdl2JfDfQApgFLs8PKOXa77OtGOcZoyhXAFGC37P5M4EYg98QBPBIRFwF/BhaUDkp6soDYX5f0m4j4ItAR+BrpZ5Fb4nCNo2AR8QzQD5gqqV9EbAlcJulLVS5ariLiaUl9y75uCPxF0oic404ABpKSVPk/dO61rGr+riPiBWAHtaJ/8NKM6YiYKmmn7NhTkvoVEPv+Bg5L0rACYpf+p34DPCDplvKfQR5c4yjeR9kn4SURsTHwDrBtngGzN7BG30Ak9c0zfuaj7OvCiNgGmAt0LyDuTwqI0ZjCf9dlngW2At4uKF6tiOgIfIMVm8m+nnPoRRGxPtnfekT0AD7JOSYAkoYWEacRUyLiXtL/048iYiNgWZ4BnTiKNzkiNgX+QKpWf0jOTTbAATk/f3Pckb3uscCTpH/uy/IOKunBvGM0oRq/65LNgecj4gnK3jwL6s+6FXgY+DvLm8mKcA5wN9AlIq4F9gCOLSJwVpv8H2AbSftm2z7sJunynOMG8GNSE9VrkhZGxGak5qr84raimmyLExE1wMaSnq5yUQoVEesC60n6d44x/iFpz4j4gLq1rSA1IWycV+xGylNDgb/riPh8Q8eLSKQRMU1S/7zjNBJ7M2Aw6ff8uKRCVqiNiL+R+hXOypol25KaKP+zgNhTJO2Sd5w6MZ04ihcRnUjLF5dX4x8qIO5XgDHAFqR/rMLeRLPNuPZnxeaLXEfaVFv2M9+TlLz+IemWKhcpdxFxHvCopLsKirdzU+eL6KCOiEmSBtbrXykkgUbExcCVkiblHavETVUFi4gxwBHA89Qd7ZJ74gB+CXxJ0gsFxKrvduBj4Blybn+tL0taW1I3YeU+yioiLgF6Atdlh74ZEV+QdGIBsQcDFwLbA+uQ1nhbUFBN62TgzIhYBCzOjuX5AeV/mzgnIPcOamBBVtsp9a8MBnKrUdczFPhWRLxBGgBS+kCYW9+laxwFyzaY6iupkE67erEfkbRH0XGz2E8X1AlfP+5/kdq+Z7M8YeX6T1UW+zmgT2lkUzav5BlJOxYQezJpFekbgQHAMUAvSWfmHbs1ymo9FwJ9SAMTOgKHFtE0GRENbr4k6c28YrrGUbzXgLUpaLQH1DaXQOqs/TPwV+p2mP6lgGL8LSJG5DkpqREnkyaBzS04LsBLQFeg9A/cBSisP0vSKxHRRtJS4IqIeLSo2BFxILBXdveBgibhTQb+CFwn6b2845WT9GTWr7Qd6RP/S5IWr+Rhqyr2mxGxJ+mDwRXZqLYN84zpxFG8hcC0iBhP3Tfvk3KMWT5vYCFQPndCQBGJ43HgluxT92KK61+ZQXFNBvVtBryQjWyCNJ/ksYi4DXIf4bQw27tmWkT8kjQst91KHrNKRMQvSK/12uzQyRGxp6Qzcg49kjSaaFKWRK4A7i1wLssglvfh7RwRhawSkE00HUBKWleQPpheQxpVlk9MN1UVKyJGN3Rc0riiy1KkiHgNOJjUVJP7H13Zshc7kv6h7qRuos69U76xkU1lZchthFPWfDGb1L9xKrAJcImkV/KKWRb7aaC/pGXZ/TakEUaFNFVmH04OAH5Hap78I/AbSfNyjNngTP2cPxCWYk8jLTPyZFnHfK5Nw65xFKyaCSIiOpPaYfcgG+UDnCxpZgHhpwPPFvjpr7TsxVvZbZ3sVhhJD0bEVqRPogImSfpXQeF7AHMkzac6kyA3BUpv1JsUFTQi+pJqHfsBN5NqPXsCE4A8RzgNoHoz9RdJUkSU+tJyr1k6cRQkIm6QdHhjs7gL+jR2BfAn4LDs/tHZseEFxH4beCAb7577J39Jdd4ss5nbkvRBHvEaEhHHkyZnTSA1zV0YEedK+mMB4Y8Ffh8Rc0mT8R4mDQcuou3/58DUbBmOIPV1/CjvoBExBXgfuJy0yF/p72xiROQ9KKRqM/WBGyLi/4BNI+IbwNdJk05z46aqgkTE1pLersYIiLIyrDCuvMCx5uc0dLz+G3wOcQeQkmOpBvJv0qJwU/KMm8V+Cdi91DGfDdd8VNJ2eccuK8M2pAUlv0+a1VzIh8WI2JrUzxHAxCJqWhGxraTX8o7TSOz7STWaaszUJyKGk/ouA7hH0n15xnONoyCS3s6+5p4gmvBuRBzN8nkFR5LWjMpV1sa9oaQf5B2rAX8EviPp4awse5ISSRE1vJmkpa5LPiB11ucu+z1/DvhP4F3gIlKtoyhrZXHbAr0jonfek1wlvRYFL91f5r8LiNGoLFHkmizKOXEUrMoTs75OegP5Nam57FFyXtMGQNLSlc3uzdEHpaSRleUf2TIkRfgnqZnkVtLP+yDgiVLHfc4d9BcArwK/B+6X9EaOseoom+T6HGVzZ8h5kmtUYen+LG4b4GxJX8g7Vr24VVtWx01VBWtkYlZPSWflGLNzYx3gEfElSbfnFbsszv8CvUivu3x581yGApclqq+S3kyuI/1zHQG8l+fPu6wMDTbPlRTQTLcjqX9hT9LP/iVJX80zZha3KpNco0pL92exbwO+qhzXX2tJXOOogipMzBofEV+s/6kzIr4G/D/SciB560BqFitf/iHPOST1l6EofxMv5NNS3omhKdlggK6kNdFqSCObilrqpfBJrplqLd0P2XI6EXEfdT8Y5TYcNyI6NHU+z+HHThzFq8bErFOB+yJiP0nTASLiR8BRQJNzDVYVSbk3idWLV839EYDafSlOZ8U29yLWTvpH2e2iIoZcR8SFpKRcjUmu0PDS/bmOLipzZ3Yr0hTSa4wGzokc935xU1XBqjUxKyL2Bv6PNAnveNKIlwOKWpohItYDjmPFN9FcN/fJ3kiOYcVVeYuYmHUvaSvR7wPfAkaT5lb8MO/Y1dDY5NaSIucwRQFL97dmThwtQETsIemRAuLsSVqn6lHgcEkf5x2zLPaNwIukWs65wCjgBUkn5xz3UdJyJ3VW5S3iTSyyfRLKZ/FGxIOScq/lVbm2U4qPpDkFxNoY2LKsNn0YsH52+h5JswsoQy/S/JUdqPvzzu9TfxWXk3dTVUGykReHA52AuyU9GxEHAGeS/shz2x+4bNRFAOsCewPvRESRmxr1lHRYRBwkaVxE/Am4p4C460k6beWX5aK0yN3b2TDRWUDngmJfS6rtHEBZbSfvoNmAgP8i/a2tFRFLgAtzHhJ7PunD0PTs/s+Bv5H+r3Ynvf68XUHqR/s1aVTX12i4CWlVqtpy8q5xFCQiriStjvoEsCtpxdTdSDNc/1rFohUiIp6QNCgiHgK+A/wLeCLPT2RZ3FNJW7beQd329tw6DstiH0CaO9GFNAR7Y+Ankm4rIHbhtZ3sZ70fcIKk17Nj25LWjLpb0q9zijsV2Lm03EfU3UzpH5L2zCNuvTKUft7PKNv1LyIelvS5vGNXg2scxRlAGqK4LGvvf5f0KbyotYuq7dKIaA+cDdxGWvb5xwXEXUTqLD2L5aOpcu04LNHypcT/TfoUWqRq1HaOAYarbLvWbFLe0cC9pE/jeWhbb42o8iHHm+YUs76PIy2uOD0ivkuaw7NFngEjYpikCbF824Q68hrqDk4cRVqkbLVQSR9HxMutKGkg6bLs2wcp4E27zGmkBF3I3tPlsnb+b7Bix3yuAwIy50XEJsD3WF7bOTXnmGs39HOWNCci1s4x7rKI2Kr0/yTpWaC0RXNRQ5BPIc0XOgn4KemDQpODBVaBz5PWQftSA+dy3S7BTVUFiYiFQGnkVJBWL32FArZ5bAmyUS6HsOKbaK7LQWQTs0ZKWphnnEZiP0pqqprC8qW2kXRz0WUpQkQ8KanBDtumzq2CuEeTNuz6HjA1O7wzqe/jt5KuziNuFrs/8JSq8EYaEVsW0fHfENc4irN9tQJHxEXAnyQVtgNcA24lNdlModiJYUtJcwrup9g5BQAbVGvobZVqO/0iYn5DxaFspNGqJumaiHgXOI80ikyk5U5+LOlvecXNXAZ0j4gngUdInfSPKy1nn7enIq22fR1wc5FDj13jaAUi4mTSMidbk0baXCdpWsFleFZSnyJjZnGrtnFWRJxHWg33rrxjNRC7VdV2qikiNiDtubJ7dhtIGvzxiKTv5Bi3DfAF0v/2fsBjpCRym6SPmnrsZ47txNF6ZJMPR2a39Uh/ZNdLermA2JeShmU+k3esaqs3/LkdqaZT5Ha5hS2Xb8tF2kBpMGmjtGOAtfIeNVgWex1gX9L/9lBgvKRRucVz4midImIn0pLjfSW1yTFOaeOqtqSF9l4jvZEW0rdTjYlZLUE1azutSUQcRapl9Cf9XU8CJgKPFT34JftbP5K0QduC0pDkXGI5cRQjIoarkc1VImJMEW3h2ciWfUifSvYmjXC6Ls95JNHIxlUlynl/koj4B8snZn2JbGKWpCZXrl1FscdL2ntlx1ZxzPq1nUXZrcjJnq1GRHxIWhHh98BDRdTe68XvSlrx+UjS7/t6UivCC7nGdeIoRkS8DJwq6c6yY2uRPvVvJWmfHGMPJ/1h7U+agHg98FdJC5p84KqJvQGwWNLi7P52pPbYN/McZ14Wv/CJWdk8nXakoZJDWD6DeGPgb5KqNlCiSJF2PNwLeEs57rgY2f4mjVGO+55k/Qz9WN6/sR1p4dLHSLWOCTnGfpS0EsWNpGQxOa9Y9XlUVXFGAHdHxLqS/pK9udxEGmnU0DjsVelM0l7j3y9ixnQ9d5MWN5weET1J/1DXAgdExEBJee9FXfjELOCbpHH925BWaS2ZD1ycc2wioi2pvfs/skPPk9ZsWpJz3DtIKyE8G2nr2CeByUCPiLhU0gU5hd6o7PtvkhbzLITS1ghPZreLImJL0gZSp5LWZMutGZi0j/tDVRkK7BpHcSKiM2l9pgtJs1snVnEdpULU+6T/U6CDpBOzzrwppXM5xh8IvECaQfxT0mrEv5T0eJ5xs9j/JenCvOPUi7kNcD/pU+9UUm1nJ2ArYKikWTnGfk7Sjtn3ZwL/IemYiNiINMIo97lK5cuNFCEi+rK8trE7adXrx0jDch8pshZQJCeOgpStZLk1cBVpf+Bfls4rx5Usq6neWkmPAGNLfSoR8ZSkflUtYA4aWAJCpCVmpknKddvabE20afU/3UfEScAuknKbzVw+kivSXhx/kHR9/XN5ynOiYWPxWD5/49G8++xaCieOgmQT0BojFbTcddEi4hrSmPZ/AmcA3SUtjLRPxoN5JY5IS8hvK+mq7P5NpF0IAc7Lue35igYOdwD6AsflHPtFSf/RyLmXJG2XY+zbSWtSzST13XWX9H5ErA9MLtVG8lR04mit3MdRELWAHemq5Buk5SBqgBFlS3/sQFoSIi8/IS3vXbIdcCyp0/pMUsd1LtTIbofZCLMbSKsj56WpiV95L7tyHKld/wvAEZLez44PJi07nouyId8APSPi6dIpWsdyPlsC/wNsI2nfiNgB2E3S5bnFdI2jGFlb+4zS2O6IOIa0dtObwH9XodN6jRYRkyQNLLv/F0lfyb5/RNIeVSpXrp+II+I10o6DK5wi9e30yCt2tVR7yHe1RcTfSIn5LEn9ssERU/PsP3SNozj/R/okRkTsBfyC9Im4P3ApaSSGrTp1ltMuJY3MlgWXBagdipz3Ol0P0vgovYfyDJwtKNkoSQfmFHpt0g6AdXbRjIjPkZaTL1w2avJLkm4sINzmkm6IiB8BSFoSEUtX9qDPwomjOG3KahVHAJdm6wbdHBGFrhvVSrwYEfuXz5sBSpsrvZRn4Kytv35VvgNpYMTRecZurJmsILsBM0hL2UyE3HfAK7mA1PxY30fZubyHuwO1czpGkOZMfZG0VlgRiWNBNmemtJHVYNIw/9w4cRSnTUS0zcbS7w2cUHbOv4dV71Tgzog4lOVzKXYhDZk8IOfY9ftuBMwFpktalHPsatoKKE02PQq4k7QywXM5x62R9HT9g5ImR0RNzrFLLQhHsXyC7R5kg0Dyjp05jbQ5Wo9s5GJHcm7BcB9HQSLiLNKM6XeBrmRbXWaT4sZVq809b1Ue3bQuMIq01Dakpbb/JOnjvGJakv3sjyTtvnhunvNZIuIVST0rPbeKYs8E3iJtj/tXSR9ExOuSuucVs5FytCUNAAngpdJKDXnxJ92CSPpZNrZ9a+Destmea1F39M+appqjmz4hDQu1gmQJY39S0qgBfkuOO9FlJkXENyT9oV5ZjiMtK5+nm4GDSc3PSyPiVlZspsxFA/OFSnpHRK5bx7rGYblqqaOb1lTVHL0XEeOAPsDfSGsnPZtXrHpxtwRuIS3mWEoUA0izuL+snFepjYggLWV+JKlVYWPS0OS7JH2YY9zSEOctSE2wpQ9hQ4EH6g0IWbWxnTgsTxExXVKvRs7l2oxQLRHxfeDPkmZUIfaTwBckzcva3q9n+ei97SXl1vYdEcuA0sKZ5W8shazMGxFDSYkL4Lk8m0GbKMPaLN8XY4SkzQuIeQfwDUlvZ/e3Bi7OM3G4qcryVrXRTVXUCXg0Il4njTC6UdK7BcWu2ug9SWvl+fzNiH8/aZ2uqoi0XS+SbgNuy2bMF6GmlDQys4HeeQZ0jcNylXX+30lay2eF0U3Kaf+CiDgI6Czp4uz+RNJoE4DTJd2UR9yy+EFaUnwkcBDwFCmJ3JLnelUR8SzQPxvL/yJwgqSHSudUhe1712TZ7/kc4Luk/soAlpB2uzy3oDJcRNok7TpSTW8k8Iqk3PpOnTgsd9UY3ZQNSxxZai7KPm3vTeqUv0I5bqbUQFlKe0P/AthO0gY5xmqVo/eqJSJOJf28T5D0enZsW9Ioq7sl/bqgcnyZ9EEF0lLrt+Qaz4nDqiF7Mx0p6dqcnr9+p/xFkr6bff+4pMF5xG2gHP9J+gR4BGkux3XKb1+KUszBLB+9tyA71hvYUGvoKszVEhFTgeH1myKzZqt7VeAS70VyH4flKiI2Bk4ktfvfCvw9u/8DYBppU6c8tC+/U0oamY7kKNLezyNJo2yWkjqoR0h6Lc+4JWpgr5G8mgSNtRvqv5I0J+soXyM5cVjergbeI21u8w3gdNIwyYMk5dlZO7GRsf3fJM3uzdM9pPbmIyQ9k3Msq66mVgJYY1cJcFOV5Srq7gDYhqztPc8O4izWFsBfSYsKlnfKrwscLGl2nvEbKVOuzXNWvGwxwQUNnQLWk7RG1jqqOnzOWoXapQ+U9md+Pe+kkcV6R9LupO1i38hu50raLe+kEREbR8SPIuKiiBgRyX8BrwGH5xnbiiWpjaSNG7htlHfSiIheEXFlRPwqIjpHxN8iYkFEPJVNBM0vtmsclqd6n8gCWJ+0oVAhk8KqIVt2otQ8tzepv2Ud4OScm+esFYmIf5C2od6YtKjnKcDtwOdI68DltmGYE4fZKlat5jlrXaLuHu91VmGInPd4d1OV2apXleY5a3WWlX0/v4lzq5xrHGarWGtsnrPiRcRC4BXS31WP7Huy+9tKapdXbA/HNVvFJLWpdhmsVdi+WoFd4zAzW4NExB7AUZJOzCuGaxxmZqu5iOhP2r72cOB1ct48y4nDzGw1lK0/VlraZi7wZ1Ir0tDcY7upysxs9ZNtnPUwcJykV7Jjr0naNu/YHo5rZrZ6OgT4F3B/RPwhIvYmjajKnWscZmarsYhoBxxMarIaBowjbRh2b24xnTjMzNYMEdEBOIy0MvOw3OI4cZiZWSXcx2FmZhVx4jAzs4o4cZiZWUWcOMzMrCJOHGZmVpH/DwoRg+13r04qAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_df = score_df.groupby('batsman')['batsman_runs'].agg('sum').reset_index().sort_values(by='batsman_runs', ascending=False).reset_index(drop=True)\n",
    "temp_df = temp_df.iloc[:10,:]\n",
    "\n",
    "labels = np.array(temp_df['batsman'])\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_df['batsman_runs']), width=width, color='blue')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Top run scorers in IPL\")\n",
    "autolabel(rects)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "85fff5f8-5755-896a-3fe8-658000e3fe01"
   },
   "source": [
    "Virat Kohli is leading the chart followed closely by Raina. Gayle is the top scorer among foreign players.\n",
    "\n",
    "Now let us see the players with more number of boundaries in IPL."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "_cell_guid": "8a9e3be5-ee4a-3841-5e7a-52125a6cec3f"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_df = score_df.groupby('batsman')['batsman_runs'].agg(lambda x: (x==4).sum()).reset_index().sort_values(by='batsman_runs', ascending=False).reset_index(drop=True)\n",
    "temp_df = temp_df.iloc[:10,:]\n",
    "\n",
    "labels = np.array(temp_df['batsman'])\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_df['batsman_runs']), width=width, color='green')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Batsman with most number of boundaries.!\")\n",
    "autolabel(rects)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "dc9966bb-8b3a-4cdd-2c3f-1c540b3e2d65"
   },
   "source": [
    "Gambhir is way ahead of others\n",
    "\n",
    "Now let us check the number of 6's"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "_cell_guid": "ff7bf783-c73a-379a-5bba-0bd389168b63"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_df = score_df.groupby('batsman')['batsman_runs'].agg(lambda x: (x==6).sum()).reset_index().sort_values(by='batsman_runs', ascending=False).reset_index(drop=True)\n",
    "temp_df = temp_df.iloc[:10,:]\n",
    "\n",
    "labels = np.array(temp_df['batsman'])\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_df['batsman_runs']), width=width, color='m')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Batsman with most number of sixes.!\")\n",
    "autolabel(rects)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "36600016-d50d-2cea-a5ed-ca7212c4b3e7"
   },
   "source": [
    "There you see the big man. Gayle, the unassailable leader in the number of sixes. \n",
    "\n",
    "Raina is third in both number of 4's and 6's\n",
    "\n",
    "Now let us see the batsman who has played the most number of dot balls."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "_cell_guid": "86af22c4-ffca-099c-0517-155ef769ce4c"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_df = score_df.groupby('batsman')['batsman_runs'].agg(lambda x: (x==0).sum()).reset_index().sort_values(by='batsman_runs', ascending=False).reset_index(drop=True)\n",
    "temp_df = temp_df.iloc[:10,:]\n",
    "\n",
    "labels = np.array(temp_df['batsman'])\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_df['batsman_runs']), width=width, color='c')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Batsman with most number of dot balls.!\")\n",
    "autolabel(rects)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "d5da4426-7449-6c3f-0127-39f358b5831c"
   },
   "source": [
    "It is interesting to see that the same names repeat again here as well. I think since these guys have played more number of balls, they have more dot balls as well. \n",
    "\n",
    "Let us check the percentage distribution now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "_cell_guid": "6fe0cb3b-f07f-9ef5-2dc1-8327a3ec7da7"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/nimitsolanki/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:8: DeprecationWarning: \n",
      ".ix is deprecated. Please use\n",
      ".loc for label based indexing or\n",
      ".iloc for positional indexing\n",
      "\n",
      "See the documentation here:\n",
      "http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated\n",
      "  \n"
     ]
    },
    {
     "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": [
    "def balls_faced(x):\n",
    "    return len(x)\n",
    "\n",
    "def dot_balls(x):\n",
    "    return (x==0).sum()\n",
    "\n",
    "temp_df = score_df.groupby('batsman')['batsman_runs'].agg([balls_faced, dot_balls]).reset_index()\n",
    "temp_df = temp_df.ix[temp_df.balls_faced>200,:]\n",
    "temp_df['percentage_of_dot_balls'] = (temp_df['dot_balls'] / temp_df['balls_faced'])*100.\n",
    "temp_df = temp_df.sort_values(by='percentage_of_dot_balls', ascending=False).reset_index(drop=True)\n",
    "temp_df = temp_df.iloc[:10,:]\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "ax2 = ax1.twinx()\n",
    "labels = np.array(temp_df['batsman'])\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "rects = ax1.bar(ind, np.array(temp_df['dot_balls']), width=width, color='brown')\n",
    "ax1.set_xticks(ind+((width)/2.))\n",
    "ax1.set_xticklabels(labels, rotation='vertical')\n",
    "ax1.set_ylabel(\"Count of dot balls\", color='brown')\n",
    "ax1.set_title(\"Batsman with highest percentage of dot balls (balls faced > 200)\")\n",
    "ax2.plot(ind+0.45, np.array(temp_df['percentage_of_dot_balls']), color='b', marker='o')\n",
    "ax2.set_ylabel(\"Percentage of dot balls\", color='b')\n",
    "ax2.set_ylim([0,100])\n",
    "ax2.grid(b=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "636ca1b6-a441-b101-e248-54521787afe7"
   },
   "source": [
    "Batsman with more than 200 balls faced in taken and the ones with higher percentage of dot balls are seen. It is interesting to see Ganguly with more than 1000 balls and nearly half of them are dot balls. It is surprising to see names like Jayasuriya and Gibbs in there.!\n",
    "\n",
    "**Bowler Analysis:**\n",
    "\n",
    "Now let us see the bowlers who has bowled most number of balls in IPL."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "_cell_guid": "e4f21588-53c6-28c0-be0c-7eae7ea5d138"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_df = score_df.groupby('bowler')['ball'].agg('count').reset_index().sort_values(by='ball', ascending=False).reset_index(drop=True)\n",
    "temp_df = temp_df.iloc[:10,:]\n",
    "\n",
    "labels = np.array(temp_df['bowler'])\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_df['ball']), width=width, color='cyan')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Top Bowlers - Number of balls bowled in IPL\")\n",
    "autolabel(rects)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "09465bc7-6f59-c1e3-13f4-49620e70a2d7"
   },
   "source": [
    "Harbhajan Singh is the the bowler with most number of balls bowled in IPL matches. Now let us see the bowler with more number of dot balls."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "_cell_guid": "2d51db41-aacc-8372-5d49-f933edc170fc"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_df = score_df.groupby('bowler')['total_runs'].agg(lambda x: (x==0).sum()).reset_index().sort_values(by='total_runs', ascending=False).reset_index(drop=True)\n",
    "temp_df = temp_df.iloc[:10,:]\n",
    "\n",
    "labels = np.array(temp_df['bowler'])\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_df['total_runs']), width=width, color='yellow')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Top Bowlers - Number of dot balls bowled in IPL\")\n",
    "autolabel(rects)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "83a678bd-58c5-f249-0b76-161ed21153e7"
   },
   "source": [
    "\n",
    "Now let us see the bowlers who has bowled more number of extras in IPL."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "_cell_guid": "89a763b4-ac6f-88a5-4924-5d68d45d3ede"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_df = score_df.groupby('bowler')['extra_runs'].agg(lambda x: (x>0).sum()).reset_index().sort_values(by='extra_runs', ascending=False).reset_index(drop=True)\n",
    "temp_df = temp_df.iloc[:10,:]\n",
    "\n",
    "labels = np.array(temp_df['bowler'])\n",
    "ind = np.arange(len(labels))\n",
    "width = 0.9\n",
    "fig, ax = plt.subplots()\n",
    "rects = ax.bar(ind, np.array(temp_df['extra_runs']), width=width, color='magenta')\n",
    "ax.set_xticks(ind+((width)/2.))\n",
    "ax.set_xticklabels(labels, rotation='vertical')\n",
    "ax.set_ylabel(\"Count\")\n",
    "ax.set_title(\"Bowlers with more extras in IPL\")\n",
    "autolabel(rects)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "79d9b7e1-260c-1c17-f19e-0a41e84e4e65"
   },
   "source": [
    "Malinga tops the chart with 178 extra runs followed by Pravin Kumar.\n",
    "\n",
    "Now let us see most common dismissal types in IPL."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "_cell_guid": "d889cf74-ddcb-5c32-1361-8c34834ee4ce"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "sns.countplot(x='dismissal_kind', data=score_df)\n",
    "plt.xticks(rotation='vertical')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "_cell_guid": "65ac9dcc-006b-97cf-d74a-61312b78a3fe"
   },
   "source": [
    "Caught is the most common dismissal type in IPL followed by Bowled. There are very few instances of hit wicket as well. 'Obstructing the field' is one of the dismissal type as well in IPL.!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "_cell_guid": "bb97f6dd-f989-356b-9c04-7c5b8b6ccd9e"
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "_change_revision": 370,
  "_is_fork": false,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}