IPL_Matches_Completed.ipynb

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    "colab": {
      "name": "IPL_Matches_Completed.ipynb",
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      "collapsed_sections": []
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    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
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      "codemirror_mode": {
        "name": "ipython",
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7LpdSTM6xjN6"
      },
      "source": [
        "## DATA ANALYSIS WITH INDIAN PREMIER LEAGUE (IPL)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZC4wQb5cxjN7"
      },
      "source": [
        "> ### Exploratory Data Analysis - Sports\n",
        "> ### DATASET URL -  [Click here](https://bit.ly/34SRn3b)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8s5211hgxjN8"
      },
      "source": [
        "`START WITH IMPORTING THE LIBRARIES`"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BmEMYR75BwrX"
      },
      "source": [
        "# Importing the libraries\n",
        "\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "%matplotlib inline"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oWlVVn_-xjN9"
      },
      "source": [
        "```IMPORTING MATCHES.CSV DATASET```"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yMKtmzl5Cy91"
      },
      "source": [
        "matches = pd.read_csv('matches.csv')"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 813
        },
        "id": "QedYMeLlC5bW",
        "outputId": "f44da646-8ee3-4231-a0ac-7835eda4d049"
      },
      "source": [
        "matches"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "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",
              "    <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>751</th>\n",
              "      <td>11347</td>\n",
              "      <td>2019</td>\n",
              "      <td>Mumbai</td>\n",
              "      <td>05/05/19</td>\n",
              "      <td>Kolkata Knight Riders</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>field</td>\n",
              "      <td>normal</td>\n",
              "      <td>0</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>0</td>\n",
              "      <td>9</td>\n",
              "      <td>HH Pandya</td>\n",
              "      <td>Wankhede Stadium</td>\n",
              "      <td>Nanda Kishore</td>\n",
              "      <td>O Nandan</td>\n",
              "      <td>S Ravi</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>752</th>\n",
              "      <td>11412</td>\n",
              "      <td>2019</td>\n",
              "      <td>Chennai</td>\n",
              "      <td>07/05/19</td>\n",
              "      <td>Chennai Super Kings</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Chennai Super Kings</td>\n",
              "      <td>bat</td>\n",
              "      <td>normal</td>\n",
              "      <td>0</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>AS Yadav</td>\n",
              "      <td>M. A. Chidambaram Stadium</td>\n",
              "      <td>Nigel Llong</td>\n",
              "      <td>Nitin Menon</td>\n",
              "      <td>Ian Gould</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>753</th>\n",
              "      <td>11413</td>\n",
              "      <td>2019</td>\n",
              "      <td>Visakhapatnam</td>\n",
              "      <td>08/05/19</td>\n",
              "      <td>Sunrisers Hyderabad</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>field</td>\n",
              "      <td>normal</td>\n",
              "      <td>0</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>RR Pant</td>\n",
              "      <td>ACA-VDCA Stadium</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>754</th>\n",
              "      <td>11414</td>\n",
              "      <td>2019</td>\n",
              "      <td>Visakhapatnam</td>\n",
              "      <td>10/05/19</td>\n",
              "      <td>Delhi Capitals</td>\n",
              "      <td>Chennai Super Kings</td>\n",
              "      <td>Chennai Super Kings</td>\n",
              "      <td>field</td>\n",
              "      <td>normal</td>\n",
              "      <td>0</td>\n",
              "      <td>Chennai Super Kings</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>F du Plessis</td>\n",
              "      <td>ACA-VDCA Stadium</td>\n",
              "      <td>Sundaram Ravi</td>\n",
              "      <td>Bruce Oxenford</td>\n",
              "      <td>Chettithody Shamshuddin</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>755</th>\n",
              "      <td>11415</td>\n",
              "      <td>2019</td>\n",
              "      <td>Hyderabad</td>\n",
              "      <td>12/05/19</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Chennai Super Kings</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>bat</td>\n",
              "      <td>normal</td>\n",
              "      <td>0</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>JJ Bumrah</td>\n",
              "      <td>Rajiv Gandhi Intl. Cricket Stadium</td>\n",
              "      <td>Nitin Menon</td>\n",
              "      <td>Ian Gould</td>\n",
              "      <td>Nigel Llong</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>756 rows × 18 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        id  season  ...         umpire2                  umpire3\n",
              "0        1    2017  ...        NJ Llong                      NaN\n",
              "1        2    2017  ...          S Ravi                      NaN\n",
              "2        3    2017  ...       CK Nandan                      NaN\n",
              "3        4    2017  ...   C Shamshuddin                      NaN\n",
              "4        5    2017  ...             NaN                      NaN\n",
              "..     ...     ...  ...             ...                      ...\n",
              "751  11347    2019  ...        O Nandan                   S Ravi\n",
              "752  11412    2019  ...     Nitin Menon                Ian Gould\n",
              "753  11413    2019  ...             NaN                      NaN\n",
              "754  11414    2019  ...  Bruce Oxenford  Chettithody Shamshuddin\n",
              "755  11415    2019  ...       Ian Gould              Nigel Llong\n",
              "\n",
              "[756 rows x 18 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DbHZvB5cDS7f",
        "outputId": "52f3fab1-e29f-41c0-b3d9-2975cbfb5f38"
      },
      "source": [
        "matches.shape"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(756, 18)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "G0J5xCAqDCew",
        "outputId": "d9261e76-ee23-4fef-9692-67e3debeb371"
      },
      "source": [
        "matches.columns"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['id', 'season', 'city', 'date', 'team1', 'team2', 'toss_winner',\n",
              "       'toss_decision', 'result', 'dl_applied', 'winner', 'win_by_runs',\n",
              "       'win_by_wickets', 'player_of_match', 'venue', 'umpire1', 'umpire2',\n",
              "       'umpire3'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zc9QP2IVFCm8"
      },
      "source": [
        "To find the number of NaN values we use `isna` module we use `sum` to find the sum of NaN  "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-YCOeD9OEuio",
        "outputId": "61732653-0031-4952-fa10-2eaf8682a75f"
      },
      "source": [
        "matches.isna().sum()"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                   0\n",
              "season               0\n",
              "city                 7\n",
              "date                 0\n",
              "team1                0\n",
              "team2                0\n",
              "toss_winner          0\n",
              "toss_decision        0\n",
              "result               0\n",
              "dl_applied           0\n",
              "winner               4\n",
              "win_by_runs          0\n",
              "win_by_wickets       0\n",
              "player_of_match      4\n",
              "venue                0\n",
              "umpire1              2\n",
              "umpire2              2\n",
              "umpire3            637\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1ukoGZW8E8XC"
      },
      "source": [
        "Replacing NaN to 0 "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tUE28xDlFAbj"
      },
      "source": [
        "matches['city'].replace(np.NaN,'0',inplace=True)\n",
        "matches['winner'].replace(np.NaN,'0',inplace=True)\n",
        "matches['umpire1'].replace(np.NaN,'0',inplace=True)\n",
        "matches['umpire2'].replace(np.NaN,'0',inplace=True)\n",
        "matches['umpire3'].replace(np.NaN,'0',inplace=True)\n",
        "matches['player_of_match'].replace(np.NaN,'0',inplace=True)"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D1XrhZQkGAiT"
      },
      "source": [
        "Let's check for NaN values."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Tv1hGEIVGLLN",
        "outputId": "2d18d9d7-be8a-432d-fde8-b151a5591cf1"
      },
      "source": [
        "matches.isna().sum()"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                 0\n",
              "season             0\n",
              "city               0\n",
              "date               0\n",
              "team1              0\n",
              "team2              0\n",
              "toss_winner        0\n",
              "toss_decision      0\n",
              "result             0\n",
              "dl_applied         0\n",
              "winner             0\n",
              "win_by_runs        0\n",
              "win_by_wickets     0\n",
              "player_of_match    0\n",
              "venue              0\n",
              "umpire1            0\n",
              "umpire2            0\n",
              "umpire3            0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vh8DdMbzGcb5"
      },
      "source": [
        "booyah! We have changed `NaN` to `0` \n",
        "Let start analysing our data. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5oADQFvYIhFM"
      },
      "source": [
        "### HIGHEST NUMBER OF TOSSES WON BY"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bv3nL_FWIwID",
        "outputId": "88e6fee1-43ab-46f5-cdc9-93e401e805c9"
      },
      "source": [
        "toss_win = matches['toss_winner'].value_counts()\n",
        "print('Most Tosses won by; \\n') \n",
        "toss_win"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Most Tosses won by; \n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Mumbai Indians                 98\n",
              "Kolkata Knight Riders          92\n",
              "Chennai Super Kings            89\n",
              "Kings XI Punjab                81\n",
              "Royal Challengers Bangalore    81\n",
              "Rajasthan Royals               80\n",
              "Delhi Daredevils               80\n",
              "Sunrisers Hyderabad            46\n",
              "Deccan Chargers                43\n",
              "Pune Warriors                  20\n",
              "Gujarat Lions                  15\n",
              "Delhi Capitals                 10\n",
              "Kochi Tuskers Kerala            8\n",
              "Rising Pune Supergiants         7\n",
              "Rising Pune Supergiant          6\n",
              "Name: toss_winner, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Db_Bk8qsKcaB"
      },
      "source": [
        "> ### MI (Mumbai Indians) won highest number of tosses.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mi1jKNN-KyKU"
      },
      "source": [
        "### HIGHEST NUMBER OF MATCHES WON BY "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hAshZvoOIGPh",
        "outputId": "ade90a22-f4e5-42b3-fe60-ffaddff35268"
      },
      "source": [
        "matches_won = matches['winner'].value_counts()\n",
        "print('Most matches won by: \\n')\n",
        "matches_won"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Most matches won by: \n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Mumbai Indians                 109\n",
              "Chennai Super Kings            100\n",
              "Kolkata Knight Riders           92\n",
              "Royal Challengers Bangalore     84\n",
              "Kings XI Punjab                 82\n",
              "Rajasthan Royals                75\n",
              "Delhi Daredevils                67\n",
              "Sunrisers Hyderabad             58\n",
              "Deccan Chargers                 29\n",
              "Gujarat Lions                   13\n",
              "Pune Warriors                   12\n",
              "Rising Pune Supergiant          10\n",
              "Delhi Capitals                  10\n",
              "Kochi Tuskers Kerala             6\n",
              "Rising Pune Supergiants          5\n",
              "0                                4\n",
              "Name: winner, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1H0P-QOrxjOL"
      },
      "source": [
        "> #### MI (MUMBAI INDIANS) WON HIGHEST NUMBER OF MATCHES"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "tK84R0MFMMU7"
      },
      "source": [
        "### Toss winning statistics"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YgBt2_tAMiss"
      },
      "source": [
        "teams_toss = matches['toss_winner'].value_counts().index.tolist()\n",
        "teams_winner = matches['winner'].value_counts().index.tolist()"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 503
        },
        "id": "O8JgqFsmLBNy",
        "outputId": "37a10dd0-cef2-4e6f-d6ed-5e4f71541315"
      },
      "source": [
        "#toss winning statistics\n",
        "plt.figure(figsize=(10,5))\n",
        "plt.bar(teams_toss,toss_win,color='#F50982')\n",
        "plt.xticks(rotation=90)\n",
        "plt.tick_params(axis='x',which='major' ,labelsize=10)\n",
        "plt.tick_params(axis='y',which='major' ,labelsize=10)\n",
        "plt.xlabel('TEAMS',fontsize=13)\n",
        "plt.ylabel('NUMBER OF MATCHES',labelpad=15,fontsize=13)\n",
        "plt.title('TOSS WINNING STATISTICS')"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'TOSS WINNING STATISTICS')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3BGTk3hoxjOO"
      },
      "source": [
        "### MATCH WINNING STATISTICS"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 503
        },
        "id": "UsUZJwmnQFS6",
        "outputId": "c3e1142d-fe75-4fc3-8e13-59022307af3e"
      },
      "source": [
        "#match winning statistics\n",
        "plt.figure(figsize=(10,5))\n",
        "plt.bar(teams_winner,matches_won,color='#0621D7')\n",
        "plt.xticks(rotation=90)\n",
        "plt.tick_params(axis='x',which='major' ,labelsize=10)\n",
        "plt.tick_params(axis='y',which='major' ,labelsize=10)\n",
        "plt.xlabel('TEAMS',fontsize=13)\n",
        "plt.ylabel('NUMBER OF MATCHES',labelpad=15,fontsize=13)\n",
        "plt.title('MATCH WINNING STATISTICS')"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'MATCH WINNING STATISTICS')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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eQ6tzSvprtztExEbD2B4zMzMzG6ReidxU4OISDTEzMzOzoemVyL0UEd8u0hIzMzMzG5Jec+TMzMzMbITqlcjd2+mkpHkl7SXpphraZGZmZmaD0HVoNSJWrh5LWhv4BLAtMAU4pr6mmZmZmVk3vebIIWkeYEdgT2AVYBKpLMkaEdGxx87MzMzM6td1aFXS8aQ9Vb8JXAqsHhFrAc8CL9bdODMzMzMbWK8euV2Bx4C9gTMjYmr9TTIzMzOzweiVyL2HNKT6S+AISacAJ+AdH8ysh9mXu6NInCmTxxeJY2Y2EnUdWo2IKyJiZ2Bx4DvAB4GbgEWB/5LUc46dmZmZmdVjUHXkIuLJiDgir2J9L3Aa8CPg7hrbZmZmZmZdDLkgcET8b0TsCCwJHD78TTIzMzOzwXjdQ6MR8Tjw42Fsi5mZmZkNQddETtIrvb5BRIwdvuaYmZmZ2WD16pEL4A7gOGBi/c0xMzMzs8HqlcgtBewG7AM8SUroTo2Ip+tumJmZmZl116v8yIMR8e2IWA7YH9gIuFvS8ZIWLdJCMzMzM+to0KtWI+JCUnHgY4BdgBVrapOZmZmZDcKgEjlJG+RdHf4JLANsHBGX1NoyMzMzM+uq16rVfYE9gKmk+XF757IjZmZmZtawXosdDgNuA64CVgK+J2m6O0TEnvU0zczMzMy66ZXInUQqQeI9Vc3MzMxGmK4JWkTsUqgdgyJpfuAXwMqkBHM34E7gN8CypL1ft42IJxpqopmZmVkxQ95rtWFHABdExHhgNeB2UlmUiyNiBeDifGxmZmY20+ubRE7SfMAGwPEAEfFSRDwJbAWcmO92IvCRZlpoZmZmVlbfJHLAOOAR4ARJN0j6haS5gEUj4sF8n4eAjoWKJe0paaKkiY888kihJpuZmZnVp58SuVmANYGfRcQawHO0DaNGRJDmzs0gIo6NiAkRMWGRRRapvbFmZmZmdeuayEnaoFRDBuF+4P6IuCYfn0lK7P4jaTGA/PnhhtpnZmZmVlSvHrk/VA8kTayxLV1FxEPAfZLenk9tTKpxdy6wcz63M3BOA80zMzMzK65XfTi1HS9fV0MG6bPAqZJmAyYDu5KS0TMk7Q7cA2zbYPvMbISYfbk7isSZMnl8kThmZp30SuTa55t1nH9WSkTcCEzocNPGpdtiZmZm1rSePXJ53pkGOCYi/l1X48zMzMxsYL0SublIiwxaVDkWqYdubA3tMjMzM7MeeiVy44q0wszMzMyGrNdeq/eUaoiZmZmZDU2vHjkkzQl8DtgMeDNpd4U/AUdGxLP1Ns/MzMzMBtKrIPD8wDXAF4F/AWeTyn58Abg6325mZmZmDejVI3cQ8ATwnrxBPfBagnc28C1g7/qaZ2ZmZmYD6bWzw0eAT1STOIB8/Ol8u5mZmZk1oFcitzAwUHn0O/PtZmZmZtaAXoncY8DbB7jt7fl2MzMzM2tAr0Tu98DPJc1bPZmPjybNkzMzMzOzBvRa7PAN4HJgsqQ/Ag8ASwCbAw/n283MzMysAV175PKihrWBHwNvBbbJn48E1mlfBGFmZmZm5fQsCBwRzwGH5A8zMzMzGyF6zZEzMzMzsxHKiZyZmZlZn3IiZ2ZmZtannMiZmZmZ9anXnchJWkrSL4ezMWZmZmY2eD0TOUk7STpS0qcljZU0t6QfAv8Alqy/iWZmZmbWSdfyI5IOBPYDbgV2B1YENgQeBTaJiMvrbqCZmZmZddarjtyOwAcj4nJJ7wMuBr4SEYfW3zQzMzMz66bX0OoilV63S4GXgB/U2iIzMzMzG5ReiZxaX0REAM9HxNR6m2RmZmZmg9FraPVNki6sHM/ddkxEfGD4m2VmZmZmvfRK5Nr3V72iroaYmZmZ2dB0TeQi4qBSDTEzMzOzoek6R07S5m3HS7Ydf7KORpmZmZlZb70WO/y67fimtuPDhrEtZmZmZjYEg161OshjMzMzMyukVyIXQzw2MzMzs0J67rVqZmZmZiNTr/Ijc0g6tnI8Z9vx7DW0yczMzMwGoVcidyowa+X49Lbj04a9RWZmZmY2KL3qyO1aqiFmZmZmNjRDniMnaVZJa0iat44GmZmZmdng9CoIPLukQyT9XtIXJS0I3AxMAu6X9O4irTQzMzOzGfTqkTsC+DDwf8AuwHnABcAqwPHMuBermZmZmRXSa7HDh4EJEfGgpJ8Ck4EPRMRzkg4A7qu9hW0kjQUmAg9ExBaSxpF2oFiI1FO4Y0S8VLpdZmZmZqX16pGbJyIeBIiIe4BnI+K5fPw8069gLWUf4PbK8aHAjyLircATwO4NtMnMzMysuKEudnilllYMkqQlgQ8Bv8jHAjYCzsx3ORH4SDOtMzMzMyur19DqmyRdWDmeu+14jhra1M2Pgf2AefLxQsCTETE1H98PLNHpgZL2BPYEWHrppWtuppmZmVn9eiVy7YsZruhxXBtJWwAPR8QkSRsO9fERcSxwLMCECRO8R6yZmZn1vV4FgQ8q1ZBBeDewpaTNST2B85JW1c4vaZbcK7ck8ECDbTQzMzMrZsgFgZsSEV+JiCUjYllgO+CvEbEDcAmwTb7bzsA5DTXRzMzMrKheBYFf6fVRqqFdfBn4gqS7SHPmjm+4PWZmZmZF9JojF8AdwHGk2m0jQkRcClyav54MrNVke8zMzMya0CuRWwrYjVS77UlSQndqRDxdd8PMzMzMrLuuQ6sR8WBEfDsilgP2J9Vsu1vS8ZIWLdJCMzMzM+to0IsdIuJCUh22Y0j7rq5YU5vMzMzMbBAGlchJ2kDSKcA/gWWAjSPiklpbZmZmZmZddZ0jJ2lfYA9gKml+3N4R8XiJhpmZmZlZd70WOxwG3AZcBawEfC9tbzpNROxZT9PMzMzMrJteidxJpBIkve5nZmZmZoX12qJrl0LtMDMzM7Mh6pstuszMzMxser226HpZ0kttH89JulnSF9Q+Yc7MzMzMiuk1922TDudmBVYAvkiaP/ej4W6UmZmZmfXWa47c3wa46SJJVwGn4kTOzMzMrBGve45cRNwILDGMbTEzMzOzIXjdiVzea/XJYWyLmZmZmQ3BkBM5JcsDPwcuGP4mmZmZmdlg9Nqi62XSgoaqMYCAi4ADamqXmZmZmfXwelatvgzcHRH/rqE9ZmZmZjZIr3fVqpmZmZk1rNfQ6k69vkFEnDR8zTEzMzOzweo1tPr1Ac4HsAgwL+BEzszMzKwBvYZWV2g/J2lB4BvAJ4ATa2qXmVlfm325O4rEmTJ5fJE4ZjYyDbr8iKRZJe0L3AW8A1g7InarrWVmZmZm1lWvoVUAJG0HfBd4Ftg+Ilw/zszMzKxhvRY7rA8cDixJGk79VUS8WqJhZmZmZtZdrx65y4BHgeOAtwD7S5ruDhHxnXqaZmZmZmbdDCaRC2C9AW4PwImcmZmZWQN6rVrdsFA7zMzMzGyIBr1q1czMzMxGFidyZmZmZn3KiZyZmZlZn3IiZ2ZmZtannMiZmZmZ9SkncmZmZmZ9yomcmZmZWZ9yImdmZmbWp5zImZmZmfUpJ3JmZmZmfcqJnJmZmVmfciJnZmZm1qf6JpGTtJSkSyTdJulWSfvk8wtK+oukf+TPCzTdVjMzM7MS+iaRA6YCX4yIFYF1gL0krQjsD1wcESsAF+djMzMzs5le3yRyEfFgRFyfv34GuB1YAtgKODHf7UTgI8200MzMzKysvknkqiQtC6wBXAMsGhEP5pseAhYd4DF7SpooaeIjjzxSpJ1mZmZmdeq7RE7S3MDvgM9FxNPV2yIigOj0uIg4NiImRMSERRZZpEBLzczMzOrVV4mcpFlJSdypEXFWPv0fSYvl2xcDHm6qfWZmZmYl9U0iJ0nA8cDtEfHDyk3nAjvnr3cGzindNjMzM7MmzNJ0A4bg3cCOwM2Sbsznvgp8DzhD0u7APcC2DbXPzMzMrKi+SeQi4nJAA9y8ccm2mJmZmY0EfTO0amZmZmbTcyJnZmZm1qecyJmZmZn1KSdyZmZmZn3KiZyZmZlZn3IiZ2ZmZtannMiZmZmZ9SkncmZmZmZ9yomcmZmZWZ9yImdmZmbWp/pmiy4zMxu82Ze7o0icKZPHF4ljZp25R87MzMysTzmRMzMzM+tTHlo1M7Nh56FdszLcI2dmZmbWp5zImZmZmfUpJ3JmZmZmfcpz5MzMbKZUYp5etzl6Tce30cE9cmZmZmZ9yomcmZmZWZ9yImdmZmbWp5zImZmZmfUpJ3JmZmZmfcqJnJmZmVmfciJnZmZm1qecyJmZmZn1KSdyZmZmZn3KOzuYmZnNhLyzxOjgHjkzMzOzPuUeOTMzMxt2JXoEwb2C7pEzMzMz61NO5MzMzMz6lIdWzczMbKYzWoZ23SNnZmZm1qecyJmZmZn1KSdyZmZmZn3KiZyZmZlZn3IiZ2ZmZtanZopETtKmku6UdJek/Ztuj5mZmVkJfZ/ISRoL/BTYDFgR+JikFZttlZmZmVn9+j6RA9YC7oqIyRHxEvBrYKuG22RmZmZWu5mhIPASwH2V4/uBtdvvJGlPYM98+KykOwu0bagWBh4dygMkxx9mQ2pD0/FraIPjO77jNxd/yG0Y7fFraEPT8QeyzEA3zAyJ3KBExLHAsU23oxtJEyNiguM3p+k2OL7jO/7ojT8S2uD4zf8NDNXMMLT6ALBU5XjJfM7MzMxspjYzJHLXAStIGidpNmA74NyG22RmZmZWu74fWo2IqZI+A/wZGAv8MiJubbhZr1fTQ7+jPT403wbHd3zHH73xofk2OH6fUUQ03QYzMzMzex1mhqFVMzMzs1HJiZyZmZlZn3IiZ2Zmo5Kk2QdzzmwkcyLXIEn/I2me/PXXJJ0lac2C8eeSNCZ//TZJW0qadbTEr7TjTZLeXjpujj2HpC/k5/53kj4vaY6C8feRNK+S4yVdL+kDoyX+SCJpAUmrFo45Yn7/ksZImrdw2KsGea42I+E5kPQhSftJ+kbro2Dsw/LPP6ukiyU9IunjhWKPl/RlSUfmjy9LekeJ2MPJiVyzvh4Rz0haH9gEOB74WcH4lwFzSFoCuBDYEfjVKIqPpA8DNwIX5OPVJZUsX3MSsBJwFPAT0n7BJxeMv1tEPA18AFiA9Bx8b2aPL+lmSTcN9FF3/Eo7Ls1vYgsC1wPHSfphqfg0/PxLOi3//HMBtwC3SfpSgbhvkfRO4E2S1pC0Zv7YEJiz7vhtmn4OjgE+CnwWEPA/dNlFoAYfyD//FsDdwFuBEn8DXyZt6Sng2vwh4HRJ+9cdfzj1ffmRPvdK/vwh4NiI+KOkQwrGV0Q8L2l34OiIOEzSjaMoPsA3Sfv1XgoQETdKGlcw/soRsWLl+BJJtxWM39pcZnPg5Ii4VSq04Uyz8bfIn/fKn1vJ8w4FYlfNFxFPS9oDOCkiDiyZSNL8879i/vl3AM4H9gcmAd+vOe4HgV1IBeSrifMzwFdrjt2u6edgvYhYVdJNEXGQpB+QnotSWqMwHwJ+GxFPFfrxdwdWioiXqyfzhdStlL2gfUOcyDXrAUk/B94PHKo0N6NkL6kkrUt689o9nxs7iuIDvNzhhaNkTZ7rJa0TEVcDSFobmFgw/iRJFwLjgK8oDfW/OrPHj4h7ACS9PyLWqNy0v6TrSQlFCbNIWgzYFjigUMyqpp//WZWmU3wE+ElEvCyp9v+/iDgROFHS1hHxu7rj9dD0c/BC/vy8pMWBx4DFCsY/T9IduR2fkrQI8GKBuK8CiwP3tJ1fjLK//zfMiVyztgU2BQ6PiCfzC3rtXcoVnwO+ApydrwKXAy4pGH+fhuMD3Cppe2CspBWAvYEr6w4q6WZSwjgrcKWke/PxMsAddcev2B1YHZice0cXAnYdRfEl6d0RcUU+WI+yF1MHkYqZXx4R1+X/gX8UjN/07/8Y0nDa34HLJC0DPF0w/h/y//+yVN4PI+JbBdvQ9HPwB0nzk3pBrye9Dv2iYPwDgcOApyLiFUnPA1sWiPs54GJJ/wDuy+eWJg3tfqZA/GHjgsANkzQWWJTpX0Tuba5FZeSf+9CI2LfhdsxJ6glpTS7+M3BIRNR6RZjfsAbU6jGqMX7XRTURcf3MHL/SjncCvwTmIw1xPUGas1R7/Pw/sHdE/KjuWD3asQTpAqL6GnRZgbhjgG0i4ozKOQFjI2Jq3fFzvMOnwNAAACAASURBVAuAp0jDua2pLkTEDwrEHhH/A1V5VGiOiHiqYMzrI2LNXudqij2GNLVmiXzqAeC6iHhl4EeNPE7kGiTps6Srkf8wrSs3IqLIyjVJ5zHjMOJTpKG9nxdIZq6OiHXqjNEj/ljgooh4X1NtqLTlzcBrq1XrTuYldev5jIjYaGaO307SfDlwsTewHPfaiFirZMy2+IeSJrrfxrREJiKiRI8IkiZGxIQSsQaIf0tErNxQ7Kb/B/+72+0RcVbN8d9CSqBOAbZn2lzBeYFjImJ8nfFnJk7kGiTpLmDtiHisofhHAIsAp+dTHyUNawQwb0TsWHP8n5H+kX8LPNc6X/cLSFsbLgb+u/QbeCX+lsAPSHM1Hib1jNweESs10Z7RSNKHSCuHq4l0kaE1ST8iDa//hun/B0r1SN4JrBoRU0rE6xD/e8CjzPjzP14o/rHAURFxc4l4I4mkE7rcHBGxW83xdyYtOJnA9POCnwF+VfJ9oN85kWtQviJ7f6lhhA7xr4uId3U6J+nWupOJAV5Ian8BaWvDOcAawF+Y/o1k70Lx/w5sROoZXEPS+4CPR8TuPR46nG1YmVT2pJrInFRzzI0i4q8D9QqUehFXKr0wJ/A+0rygbYBrS/3+B+iVKdYjKel84H8i4tkS8TrE/1eH0xERyxWKfxtpTtS/gCmkXqFioyKVdhT/HxwpRsiCk77mxQ7NmgxcKumPpBcRACKiVB2puSUt3RrGk7Q0MHe+7aW6g0dEyQm9AzkrfzTl5Yh4TKkY6piIuETSj0sFl3QgsCHpTeRPwGbA5aT6dnV6L/BX4MMdbgvKPSeNll4YAcP6zwM35p7p6mtQkQuZiChZ6qeTzRqO3+T/YLUNjfVKMzIWnPQ1J3LNujd/zJY/SvsicLmkf5KuRMcBn1Yqznli3cElvY1UAHnRiFhZqar9lhFRrJZeRJwoaTbgbfnUne11hWr2pKS5ScWRT5X0MJWewQK2AVYDboiIXSUtSpqzUquIODB/uUfDE4sbLb2Qf9/fARaPiM0krQisGxHHF2rCufmjEbn0yKeADfKpS0nzc4v8D1bK0Ew3R7WwRv4HWwbqlS4VHziHaQtOGhni73ceWh3l8iql1qTSO+te4NAW+2+kcis/b9XyKj35WKmS+4mkEggClgJ2LrFqL8efi1QzSaR6evMBp5aaN9mabC9pEumF/BnSHL0iE41z2ZULSHOk/hqFX5AkfZ20q8bGwE9JvYHHRUSRLYry0OYJwAERsZqkWUhv6KuUiJ/b0NiFjKRfkOYIti4cdwReiYg9CsVvfI7qCPgfvKnSK71qvrA8PyLeUyh+YwtOZhbukWuQUuHD/ZixS7vkir13Mq1LezVJJedmzBkR12r6Yryl5wv+gLRFzJ3wWi/h6aTfS+0iotr7VnsvaAcTcw2p40hXxM9Sdq/J8aRdFvYCjpf0B+DXEXF5ieARcXD+8nc5dtHSC8DCEXGGpK/k9kyVVKyHstOFjKRiFzLAuyJitcrxX/O80VIOBtahbY5qwfjQ/P9g6+K9qYLAV0paZTQuOBkuTuSadSqpJ2IL4JPAzsAjpYJLOhlYnrTX6GulByg3N+NRScvnmEjaBniwUOyWWVtJHEBE/F8e7qmVpMsjYn1Jz9B5J4nHgO9HxNF1tiMiPp2/PCbX1Jo3IoptERURzwNnAGdIWgA4AvgbhXb4kDQH8GlgfdLzcLmknxXsmX5OqQBs639gHdIwUymNXsgAr0haPiL+meMvR6WeWwGNzlGF5v8HSTsrtBcEPq5g/PWBXfLCl8YWnPQzD602SNKkiHhnq0s7n5thJWmN8W8n7XXYyB9BftE+FliPVIj1X6QVm3cXbMMvSTX8WnNSdiAVJC22craT/OZ+ZUS8veY4vyMVxD0/IhrZlkbSe0mlbzYllSH4TalVbJLOIA1ltZ7/7YH5I+J/CsVfkzS0uzJp0/hFSEVyi7yRV197up2rMf7GpKHlyaQ38GWAXSOiyA4vki4ibQ/2XWBh0vDquyJivRLxcxsujoiNe52rKfYYYJ2IuDIfN1EQuGNx9Ki5KPrMxIlcg5QL4kr6M3Ak8G/gzIhYvlD835Iqy5fuBWtvx1zAmIh4poHYs5OG9dbPp/4XODoK1tXSALt7SFqs7udG0iak7YDWIdXzO6HaQ1k3SXcDN5B65c5tG2ouEf+2iFix17ma2zAL8HZSIlN6jlrjFzL5f7B1wXJn4f+9xuao5t7gOUnbEm7I9AVxLyg4R+6GmH6/4Ua0LziJUbDD0XBxItcgSVuQEoelSFfl8wIHRUSRVWRKNaxWJ61QqpYeqLWqu6QvdLu9YPmVxqnh3T0q7ZgP+Bhpu7L7SEMrp9SdVEiaNyJK7q3ZHv8U0mbtV+fjtYG9ImKnQvE71dF7Crg5Ih4uEL+RCxmNkDqCTZK0D2m/z8VJF/EtT5MW3PykUDsOJ83JO6uJ0ZmRsOCk3zmRG8XykNYMIuJvNcdtlZ54O/AuppU/+DCpGGvtk401bdP6jgoOLTW6u0duw0KkCd47kt5QTiW9sa8SERvWHLuREjSV539W0t/hvfl4GeCOUj1ySjUk1yX1ykDqmZlEKgX0rYg4uUQ7SpN0UEQcqIaKgneZo9qanzVvnfHb2vLZiDiqVLwO8Z8B5iLNTXyBwr8DjYCi6P3OiVwDJO0XEYdJOooOyUQUKsbZNEmXAR9qDalKmgf4Y0Rs0P2RwxK70U3rK+1oenePs0mJzMmkbXEerNxW+z6YaqgEzQh6/v8M7BQR/8nHi5IWG30MuKyu34OkMyJi24EuaEpcyOT5WdtExBl1xxqJ3CuZtF5nckK3RkS8KunvbauZrQuvWm3G7fnzxK73qskIuhpdlOl3kHgpn6vdCJpI2/TuHkcONLG87iQua6QETfvz3z4/p6ClWklc9nA+97ikOoe198mft6gxRlf5DXs/0vzIRkhasMPpZwrNUxwRu5so/fPtAIyLiIMlLQUsFhGligI3XRS97zmRa0BEnJc/N1E3jIhYP3+ep/22PGemlJOAa3OvEKTVY78qGL9V7uEo4B2k3TXGAs8VTGab3t3jckl7M62y/t+AYwpOuG+0BM1A83NItR1LuFSpft1v8/HW+dxcwJN1BW31vHa6oJF0BfDuumK3uUjSvqQyTNW9jh8vFP960hzlJ0gXsvMDD0n6D/D/ImJSXYEj724SzW9VeDRpfu5GpLp6z5KKYxepngBsRVpw8nmmLTjx9lxD4KHVBkg6j+7zs+pebPCN6LCPnaR5SSsHN6wzflvMNYFWBfHLIuKGUrFz/InAdqQ30gnATsDbIuIrJdvRFDVfWb/REjQjYX6OpK2ZttjgCuB3TUw6r7TnvohYqlCsf3U4HRGxXKH4x5EqBfw5H3+AlEyfABwREWsXaMNCpAVPr9UyJM2PLLW7y/URsWZ19aqHNvuLe+SacXj+/N/AW5i29P9jpNWLdVtf0rcj4oDWiTw358/A2QM/bHi0VirmYY2780frtgULXo0DEBF3SRobac/PEyTdABRJ5PIcuU5zlErt7tFoZf2ImAxs0mAJmsYKwuayM7fmMhNF6uYNUpEkMs+R2z8iflMi3gDWiYj/1zqIiAslHR4Rnyg4OvFr0rDi1vl4B1IP5SaF4r+c/xZbveKLMG0FfW1G0BSfvudErgGtVaGSftA2D+m83ENUty2BMyX9MCK+IGkF4Hzg8Ig4pkD800hzcybR4R8YKHI1nj2vtNfkjZIOIw3rjSkYf9/K13OQXsxLLnxopLL+QCVoWnPlCs4RbGx+TkS8IulOSUtH4ZpZA02wJ/0PvqlEG/IcuS+RkpamPCjpy6RkClJh6v/kxKZUgezFYtpWcQCHSPpoodiQapieDbxZ0reBbYCv1R202xQfGxoPrTZIaWeFD+VeCSSNA/4UEe8oEHtW0gvoFNKw1uciovbeuJEmr158mDS8+HnS/IyjI+KuBtt0bUSsVShWI5X1R0IJmtyOuUglF8ZQuCBsjn8ZsAaplmN1jljd0ys6lf14Tal5W5K+BzxKQ3PkJC3M9MOaV5DmZz0FLF3idUDSD0nPf2vRxzbAWhGx78CPGpa4S0XEffnr8cDGpNeAi4HlI+IPdcavtKPJBSczBSdyDZK0KWl+UPVN9BOt+Ro1xm31hswK7EcqAvraJtkFe0Pa2/U24EvVoY6ZXduL2BjSHpdHRs1bc7W1YbrK+sCEiLiiUOwmS9CMJc2Ne1/dsbq0oZFajiNFk3Pk8vN/UkTsUHesHu1o1XFr9QCOYVpSW9sQo6Q7gE3b56NK2g04IMrtMHQ3HRackKYZ1brgZGbhodUGRcQFeViztRXLHVFme5pqV/aRHc7VSqno6+GklYK/J62Q+gmwNmkFYTED1NF6ilQa5pACPTPVF6mppMn+tU+0z29i2wJLkPZZvUlpp5FjSENrpbbsabIEzSuSXpU0XxTcW7KtDaMiYRtIRIxrMPYrkpaRNFtEvNT7EbW1o6mhxS8AF0r6UET8A0DS/qSe6Y4XGDX5CwMvODma9L5gXbhHrmGS1gOWZfp9Nk9qrEEFSLqGVM3/KtJG6V8lrZr8RkS8WLgth5HmhJ2WT21H2v/wIWD9iOhU46nvSfoV6Sr4WtIL5b9JvYFfiYjfF2zHAaSEslqC5oyI+E6h+OeQkta/MP3QXpGi3COg/E3jJK0MrMj0+2wWeQ2UdBLpd38u0z//RUclJC0ArMD0v4PLBn7EsMXdGPg56f9uD2AtUg/5E3XHrrTh5ohYpe3cTRGxqqQbI2L1Um3pV07kGiTpZGB54EamTTCPUm8iTWn/55Q0uVS5gQ5tuT4i1ux0rtMLzDDGXZs0rL48cDOwW0Tc3v1Rwxr/FmDVPOF8DlLiunypuWFtbWmsBI2knTudj0I1HpsufyNp9vZRgE7naox/IGlbshWBPwGbAZdHxDYF488gIg4qET+3YQ9SgeYlSe8F6wBXlVq5Luk9pAupK4FtG7iYvpA0L6+64OT9pIv869pfn21GHlpt1gRgxSZrRjVkDklrkOZDAEypHkfE9QXbMlbSWpGrmEt6F6lXBOpdPfpT0orVy0iriH8MfLDGeO1eiohXASLixZxMN7Xf65zA0xFxgqRFJI2LiE5zp4ZdRJwo6U2kie13lojZoQ2Nlb8h9Yq3v1F2OleXbYDVgBsiYtdcBumUHo8ZNq2ETdKcEfF8qbht9iEt+Lk6It6XFx7U3iNdKfshYHbSYoeHlZaOlyz/sT1pwcnvmbbgZHvS6/C2hdrQ15zINesWUh25YpXsW9TsPocPAtWhi4cqx0Eq0FrKHsAvcwkKAU8De+TVjN+tMe6YiPhL/vq3kkoXIB4v6ab8tYDl83HrRbz2vTbhtR6RCaTFFieQFuCcQqGdBSR9mDRfczZgnKTVScVYa101WtFI+RtJbyHNj3xT20XVvKTEupQXcq/wVKWC5A+ThvyLkLQucDwwN7C0pNVIC84+XaoNwIv5YqrVG3qHpNoXO42Esh95ru4RXRacNFY9oJ84kWvWwsBtkq5l+n02a38TiQb3OWxylWC7iLgOWEXSfPm4Oum9zt/N/G21vKY7jvo3zK69xM0g/Rdpjtr1ABHx77xytZRvkuYFXZrj36hUS6+UHUmJ22dI5W+WYlph2Dp9ENiFNJxXvah6hjRntZSJkuYHjiMt/HmW1CNYSqsn/FyAiPi7pNpXTLe5P/8Ofg/8RdITwEjZC7pWI2XBSb/zHLkGNV16oOkaTiNBLr2xNTMuOKl1r78edbwiInarM/5IoVwzrzIvcS7S/KBSPYJXR8Q6mn57optKxW+apK0joviuEpI+AlwZEQ9Xzi0LzBsRNw30uBracU1ErK0Rsj1Vfk+YD7hgtCQ2I2XBST9zj1yDRkDpgVb18L0q50rvrNC0c0jlRiZR6RWtWzS/UfZIcYakn5N6JP8fsBupd6aUWyVtT5oruQKwN2nSdxGS3k3qFVyG6S8kivwPRsTvJH0IWInpV0zWvWn5x4GfSnqe9Pu+gpTYFUvisvty5YBQKpK+D1Bk0VGej7twRJzfOhcRf5O0ObAK05cmmpn9M3+MoWAZrJmJe+QaoBn3lnvtJrzHXFGSbomIlZtux2iUJ1UvSaqj+AHS3/+fK3MHS7RhTuCAanzg4FIr95SKsn6e9Kb92tZopRaeSDqGNCfufcAvSIsPro2I2msZ5vjjgHVJu8usCyxNWqm4eaH4CwNHkPY1HUN6/vcp8fuX9FfSLir3tJ1fBjih4KrVuZg2V/FtpP/H86PwzgoNLzjpa07kRrH8JvYF0oq9PXOPxNuj3NYsF0fExr3O1dyGY4GjIuLmUjFtmjpLvPSD1tBeg/Fb9bpan+cmvYm/p+eDh68N40mLW9Yjld54eCTNo62LpOsi4l0D3FZseF/SJFL5nwVIPaPXkVa1F9nxorrgJCKaWnDS1zy0OrqdQOoJWC8fP0CqZ1VrIpfrls0JLKxUCLO6Ym6JOmN3sD6wi9JWQVMovGqzaR2G9lo/f6nh9eslvSsvOilG0nl07hUHiux12irvcYmk7wNnMf2Cp1IleFo9j89LWhx4DFis7qCSvkrqgVuEtC3c1aTdXfbMZViKyAtbjiAlkEFaaPH5yPtf12yBLreVXDmsiHhe0u6kfaYPk3RjwfgjYcFJX3MiN7otHxEflfQxgPzPrF4PGgafAD5H2qJrEtMSuadJL+YlbVY4HgBtK1ZnUGDVasvxdBjaK2htYAdJ95AmOpdKpA/Pn/+bVAKoVbvsY6Q9HuvWvhXdhMrXJUvwnJdXTH6ftHI4KDNHcSfS830eaY7cNdHMNmmnkWo6/lc+3g44nTLbQl0k6dvA11q1RPPr70HAXwvEb1HuFduBadsDju1y/2EXEfe1vfU08VrUt5zIjW4vKRVDbb2ILE+BCf8RcQRwhKTPRsRRdcfr0ZZ7ACS9mcpk7wK6bf0VpB6aEp6qTrZuQMkiyK9pLTSS9IOIqCZR5ynttlB3/MaHDnMtyYsj4kngd5L+AMxRIqGKiPGSFiSNBmwI7J+Hdf9OWvTQbVX3cJozIk6uHJ8i6UuFYn+RNC/xrkoP2GqkfZ73KNQGSAs8vgKcHRG35l7KSwrGb2zByczCc+RGMUnvB75G2h7nQtI8lV0i4tKCbWh0r1lJW5J6RxYnFSNdBrg9IlYq1YYm5RI0Y2luaK/VjukS6Yi4t1Dc20l7S07Ox+OAP0VErXX2JH2BlEQf33Z+d2CeiPhxnfEr8V4ru9EUSbOQ9vndgNRbPy4iivQISToUeIK0PVSQVvIvQOqhLFKKKSdOrdebWwsN67ZijwUOjYh9S8Xs0IbGFpzMLJzINUDS5RGxfofVq8VXrUpaiDQ/RKQtYh4tGLvxvWYl/Z00jHVRRKwh6X3Ax+tetSfpKOCrEfFM2/nxwE8iYpM641fidbryjoIr5hpNpCVtStrzdjLpf2AZ0jytC2uOOwlYp31loNIuDxMLTnQ/nDQv7Kwo+GaQn/f1SBePKwG3kibaX0XqkXukUDu6bQVXcq5oY1q1FJtuh71+HlptQESsnz+PhJo57yVN+A/S9khnF4w9EvaafTkiHpM0RtKYiLhEUonekIdI2zJ9PSJOyyuIv0maq7NfgfjAiBjiO5h0ITFdIl0qeERckFdrj8+n7ogyG8bP0qm8Q0S8VGieassnSCvXp0p6kXIXk7uQErf9gEnRUPHbiBjXRNwR5gZJ55IWulUL8haZ3tHwgpOZghO5EaDBYaWjgbeSJvcCfELSJhGxV5eHDafG9pqteDLPzbkMOFXSw1RezOoSEd+WdDpwlKRPknqkzgBWK11LSc0UhG1pKpEGXusZOx44PSKeKBUXGCNp0YiYbmGF0qbxxTR1MRkRXRf7lCJpp07nS07vGAHmIK1WrvbCl5yn2+SCk5mCE7kGDTSsxLT5EnXbCHhHZcXUiaQhjlpVSj/MQ0N7zVZsBbxAWrm5A2l7nFJJzKv58yykeWq3N5DEdSwIW7AJrUT6fymYSFd8FNgVuC4vcjgBuLBAL/H3gT9K+iJ5n1nSPLHvM21FbRG5BNAKTJ/IX1ayDQ2q1nGbA9iY9HzUnshJmjcins6LPmZQYn5ejtP0LjNNLjiZKXiOXIOamp9Vif8HYK/Kys1lSPOzuq2oHI64HfeYbYmGti7Lk24fKzHUK+nrwM7AARHxG0lLkIYXFgE+FRG31d2G3I5GC8IqV5UnTXJuJdKnlp7onFdwbgH8jDRf8wTgiDrfTCVtBuwPrEy6sLkV+F7JVcSS9iCtElySNFd1HdJet6XKn4wouRTLryNi0wKx/hARW+R5esG0MkxQcH6e0m4OPwMWjYiVJa0KbBkRhxSK3/iCk37nRK5BkiZGxISc0K0RaYuUYhs2S/ob6Yr0WtI/0Fqkpe9PQfGesaIkrQN8D3icNE/rZGBhUkKxU0RcUHP8I0j1o9oXO2wG/LDuVZOVeK1Nw68m1VR7jLRy7q2F4s9P6g0C+L8SpS86tGFVUq/c5qQVc6eS5o3uGBGrl25PSZJuJr0GXB0Rq+fFNt8pOfSZSyAtHRF3lorZpS2zArdExNubbksp+X3gS8DPWyuYVXDrQi84eeM8tNqspoeVvlEw1gw6rNqFlEROBL5Y82TXnwBfJfUA/RXYLCKuzm9kpwO1JnIRsc8A589X2oOxlD9oxoKwv6g7qKTZgZ8DHwH+RV4xKuls4JOlJr/nOXJPkubJ7V9Z6HCN0q4XM7sXI+JFSUiaPSLukFQsiZH0YdJQ8mzAOEmrA98qdRGp6Xf4GAu8gzRXtajcI9/aXQUoOrw9Z0Rc27bGZmqh2F5wMgzcI9egPKzUWinW2LBSUyQdDNxPmuwq0iTX5UkJxaciYsMaY9/Y6m2RdHu1B2wk1NZqQk6uihSElfQt0nP9yVavpKR5SJOe74mIr9fdhhxzudG8Oi4nzruSdlrZiDTENWuU27R+Uo57aaU3qNj+u23TPKaS/vbuLxG70oZDScOJtzF9GaZSyez5wGeA30bEmpK2AXaPiCK73njByRvnRK5hkt5CGtIM4LqIeKhg7GqP2Gyk8iPPFSg90Io/wzByK8Gqe4hZ0vURsWb7152OZ3ZqoCizpFuAtdoXd+Qe6qvrHtZRKsg7oIj4YZ3xR6Kc1MwHXFCwR/TqiFinevGkghvGV9qxEKkg8b0RMalw7DuBVQuVvekUfzlSLcX1SIn8v4AdWnOnC8Sv7u7z2oKTiNimRPyZgYdWG5QnGn+DNLQnUimKb0XEL0vEr5YeUOpX34o02bmU5yVtC5yZj7dh2ibedV9hrCbpadLv/U35a/Jxya26GqUBijJT/6q9Vzut0I2IZyWVuLqslt34BGmYt7jcC7o1MybSta6cHmDF5M3581ySXokym9ffKml7YKxSPb+9SXuv1iov9No/Im6RtBhpFGAisLykY6PQzhrZZNJFdCOJHLBARGySR4jGRMQzkrYAiiRyEfHZ6nFrwUmJ2DML98g1KF+JrdcaSs1XhVc2OdG25LCiphWCXJeUPFxNKgPyAPDOiLi8RDuaJGkf0grJZ0hz09YgvcHUurNAJf7tNFCUOS/w2ZDpV+q1XFJqwU9uS2ND6ZIuIM0LnURlo/CI+EHNcbutmASYGzguIr5aczvmBA4APpDb8Gfg4Ih4sesD33jcWyPvHiLpq8D4iNgpD+9fUaJHMPdEBbAEaY/Vi5m+DFORHW4kXU9a4HVLPt6OVJC3kTpuo3HByRvlHrlmPUZ6A295Jp8rQlJ1ZdoY0k4Ltb6AVuW5SQOVOpnpk7hst4g4QtIHSUvudyStoC2SyNFcUeb5SMlLp0Su9NVlk1ezS5YoddEuIrbInztONFfag/MW0oKgOtvxPCmRO6DOOB1Ud9XYGDgut+cZSa92fsiwm5g/TwLOLRSzk22AM3PP6HuAnUiJdREjZcFJP3Mi14DK/Jy7SKvjziH9IW8F3FSwKdUkaipwd25DrSTtFxGHVa5Ip1PqSnSEaCUymwMnR8StUv1bNKnhoswRsWyd37+PXClplYi4ufddh5+kDTqdzysmay+Bo1TDbF9mHFquu47dfZI+S1pstSZ5lXouhTJrzbEBiIgTS8TpJSIm51643wP3Ah+IiBcKNqFaALuRBSf9zolcM1rzc/6ZP1rOKdmIaK6i9+3588Su9xodJkm6EBgHfCUP7ZToESi6e8BIk+untS4i3iqpdQHV2mu01GT79YFd8hDnlAbiVyvoz0FaeNVaSVrCb4FjSNMKSszJa9mdtIPLJsBHI+LJfH4d0lSH2rX9Dc6g7r+BDvEXJPWIXSOp9vgtkQvAVxacvEhKsG2QPEduFJL0/0jL/f+Re3+OJ024vgfYJSKu7/oNZiJ5gu8LkYoxv420efr50WFD85rijwFWByZHxJP5xWyJiCjSMyvp0Ij4cq9zMxulXUwGVHDFXsd2lIrfTtJSwI8jYutC8SZFxDtLxBppmv4bHAHxB1xwApRecNLXnMg1SNIE0tyQ9kKQdV+J3ULaSeLlPC/ii6Q5EWsAB0a57ZmaGlaptmESaV7IAsAVwHXASxGxQ6H4ncqcPEUaXqi9KGenUitNlH8Y7SS9men3Or23oXaItLPHioXifZO0z/TZTD+0P6q2ZcpJ1QoRcVEe3p0l2nZ9qTH28sD9ETFF0obAqsBJlV7KuuI2vuBkZuGh1WadShrauJkyw2ktUys9TluQ/mkfAy6SdFjBdjQ1rFKliHhe0u7A0Xnu3o0F4x9NmqNzE2lYbWXSnpvzSfpUXatXJX0K+DSp3EK1928eUkJbqwHKX7xmtLyRS9oS+AGwOCmhWYY09WClQvGr81RbvcMle+R3zp+rQ7wBjJptmfIIyZ6koc3lSfveHkNahFHC74AJkt5Kqid3DqlIe91FoUfCgpOZghO5Zj0SEU2sVno1d2U/QfoH+nbltjcVbMfUiPhZwXidSNK6pJ01ds/nYoOJDQAAG5FJREFUxhaM/29SFfVbc2NWJM3d2Q84i/pWr54GnA98l7Rxe8szhZKo00gXEZPosGE4o+eN/GDSvKyLImINSe8DPl4wfnWe6lTg9IioPZFvGWjV7CizF2lu4jUAecrLmwvGfzUipuYqBkdFxFGSbigQt/EFJzMLJ3LNOlDSL5ixftBZNcf9BukFfCxwbiWJeC+pOGUp50n6NM0Oq+wDfAU4O68YXQ64pGD8t7V+/wARcZuk8XklWW1BI23D9ZSkrwEPVYdVJNU+rNKr/EUTJC0ALFVqfmL2ckQ8JmmMpDERcYmkYnODml45qYa3Z8rTO34GLBoRK0taFdgyIg4pET+bEhEvtf7fJc1C2ZI4L0v6GKnsSKuSQYlEqvEFJzMLz5FrkKRTSJPrb2Xa0GpExG4FYs8CzBMRT1TOzUX6m3i27vg53r86nI6IKNIbk2tlHRoR+5aIN0AbfgM8zrRK5h8FFibVk7s8It5Vc/wbSfUDlwX+RBpWWSkK7bWZ29DYhuGSLgW2zLEnkYY3r4iIrlt4/f/27j3K0qq88/j314hchEYnIgEjCngLEUEFFUUjElQERjQRZIyyOkFkIoJCLhJjvEWNCIqDrqgMIihBZUDuMhgNKJdBBIEGlKACCwiKIhe5hm5/88d+T9fp06ealq6zd1W9v89atTjve6pq726qTz1n7/08zwyO/2/AHpSV0Sd2429n+yUTHvd1lBp2n+2uLwE27J7+O9snTXL8oXk0bc8k6XzKtu7nPdUi7GpPuEXcyBwOA+6iBFLvpBx5uNZ2ldp63S7A/sDFtk+UtBmwp+2P1xg/Vl8CuYYkXdfH6tWS1pwuK1SVm5ir6/VYa7wx469DeeHeobt1IeXc3IPAupMOqgfJDpL+lpK9e5Tqdvdo3TD8h92W5r6U1bj310z2GGRNU86nvZlSKPmE7szqJMe9EHiT7Zu76ysoQdTjgGNt1zqfNTqvxwNfdaUiyZIutb2dlu/1eoXtbWqM3423gLI6Ndzd4n87v5xjFWVrta2LJG1p+9rWE6nsNEl7eKQxd7etcTpldaiWH0o6nZJ4cd/gZoXt7cE4D1AOu49ryVRjZbTVtsrAHsCz3KhhOPCY7rzontTvLgDwJOA2l5ZUx3WB/UZMvsPLYwdBXOeCLni8owsuW7mPUlOxll91WZsGkPRnVO5y0pU+OhU41fYva44Ny3ZGxhVm78s51TkvgVxbLwauULtioK1cDnxT0u7uGqd357O+AtQuUrw25ZfmcMkTUxINJk7SS4EPsOLWYq0X0UWUbZWP2L6h21b5cqWxoX3D8A9SVkAusH1pd0by+orjnwQMb6Mu7e5NdEudUm5nGdsHDF1uSCVavj3TAmBL6rZnegclU/PZkm4FbqBSsklX6uX9wAGUPzuSllISDj5UYw6dbYcerw28kZJBG3NEtlYbmq4gY4VCjM+2/eNpapjhCgWBu0P2rwZ2oWwpHAm8wXavuj1I+jHwblZsml6t524LmgUNw7szkgfa/tSkx1rJHFbYxpN0pe2tJzzuCZSi4EeP3H878Arbe09y/KHx/njosll7pm4VckGt2m3dmAdTXv/2s31Dd29zSvLFOY1/LqsVap4lCSdzWgK5hiRtOu6+J1wMVNIXbO8naVx2pl2pIG/3QvZ2ykrka23/pMa4I3No+iIi6RLbL6ox1jTjP4Ny0H5Lli9IO9EVQUn7rOz5WtmUkr5v+4U1xppm/G9RVmBO765fRwkuJ3pGrStvcSoleB68cXsBsBawh+1fTHj8tSkrwU+n1NE8xhUKYI+Zx1qUrjZPY/kV8YmviHUlPna2/auR+xsC51Y8pzr8hn4BZYXuf076zcTQ+M0TTua6BHINaarXnSi/RDcDrnNX7Xq+GtpOEfBS4CfAzwfP1zro3s2l6YuIpH+mlIE5heVXpKoUZZV0AWV751OUM3KLKCsT/1hj/NYkfYqytfs1lj8jWevvfwtKYfBNulu3AG+t9aZG0iuZKj58je3vVBr3a5SCsN+jrErdZPugGmOPzOMcSieV0RXxcWdWZ3rsaV9narwGSTrX9qtG3tAvAW4EDrd93STHH5pH84STuS5n5BqyvdXwdffO6K9qzkHSc1hxNWbSNZwOn+ZxC+va/r6Wr9lWc2VgsBo3fE7F1Gtavo7tb0tSt6X/AZW2ZRMN5NS4YfiQwS+L4RWYan//tn8KvFjSet11ldI/Q+N/B6gSvI3YcvD6J+kY4PsN5gClBEuVDNkx/utRPjdTNgSwvWOFsVamecLJXJdAbhaxfbmkattskt4PvIISyJ1NeWd8ATDRQM72+ZP8/r+jpi8is+BF9KGu/MH1kg4AbgXWqzDubhXGeESt//4lfRQ4zF0xVJWixIfY/oeW86pgWfkhl64CreZxkaStbC9uMPbWku4Zc3+wQzNpG6h0cxirVuY+DRNO5otsrTbUnREbWEBpU/J7tl9dafzFlIPmP7S9taSNgK/Y3rnG+LNBd7j4C5TMwTvpXkRs3zjhcf/c9ldGfgaWsf3JSY4/NI/tKL09H09pF7UBJbD4fzXG7+bQsmH4RsBHgU1s76JSHHV728dUGn+Fmn3qavvVGL+VLjtzsJUtSmvA+5nK3F9YaR7XUs7p9a1yAJLuoBQAHxdF2xUK04/Mp3rCyXyRFbm21h96vAQ4i9LAuJYHuhpGSyQtpFSVf0rF8ZtzKT78Jw1eRAa1utYf81y1d1e2L+0e3kv90i+zoWH4lyjtgAY15P6Dcl6uSiAHrCFprUEdvS6QXavS2M3YrtnPeGV2aT2Bhm6qHayNM5pwMlidrVyCZU5LINeQ7Q82nsIPVCqpH0057HsvcHHbKdU1uiLWvYjcDVxm+4oJDn02jP8ZkDTxbUdJR9p+10gdrwFT2oZ9vsLKXOuG4U+0/XVJh3bjL+lWi2o5Afi2pEFvyUVA0/6nPdPnLalm+9kjTmMq4aRVPck5LYFcAyqdBKZVK2vT9iCx4nNd9tZCV2wY3qXZ/x0rJlvUOugPJclgW+CM7no34Cpgf0kn2T5sQuN+S9JrRrdwJS0C/gE4c0LjDgyK/k6XbPJE4IuU/zeT1Lph+H2Sfo+pM5IvpvxSqcL2xyVdSWkcDvBh2/+31vjBWYypHMBUJu989pbWE+i0TDiZFxLItbE9cDNwImUlotk7I400LJf0cldqWE5ZjfgasCulptQ+QO0WNX8APH+QLdglgJwFvJzyDnFSgdzBwLmSdrV9fTf2ocD/AP54pV85A2xf1v132sQTSTUy586X9PfAOpJ2pmRtn/EIXzOTDqa0hdtCpf/ohkCVhu1DfgQs6c4Iritp/ZwTqmM2VA5oxfbVrefQaZlwMi8k2aEBlYryOwN7A8+lBA4n2r6m8jxaNyy/zPYLNNSkfFBTqMb43Xg/Bray/XB3vRZwpe1njzuIPsNj7wR8ntJvdF/KFuOutu+c1Jhj5tCkIPDQ+M0bhnergM/qxr9u8LNQaexlZwRtb9H9//jcpAsCx/QkLR4N8GJy+pxwMlOyIteA7aXAOcA5XeCwN3CepA/a/kzFqbRuWD74hXmbpF2B/6R+j78TgEskndZd7w78a5f8cO0kB+7qty0CzgMuAl7p0jy9pmOZKgi8I11B4FqDu33D8DdS2iFdo9I27vmS/qlWQWDanxHstWkqB/xno+n0VZ8TTmZEArlGugBuV0oQ9zTgfwHfqDyN1g3L/0nSBsAhwFHAQuBdNSdg+8Pd+cBB4/L9PdXv9c2TGlfSb5g6m7MWJUvzdpXDYtXKL9CuIPBsaRj+PtsnSdqB8v/gcErLtlr1HFufEey71pUDmpH0ddt7jinOXXtFLD/vqymBXAOSjgeeQ8lc/GDDswr3A1dIqt6wvHOn7bsph8t3BJD00kpjD7ucUgh3cE5wU0+4363tcWVHWmhVEPjdlPZs23mkYbikd7tew/DBkYJdgaNtnyWpZrPu1mcEe0vSNsA1lNZkP2o9nwYGLdFaF+fuc8LJjMgZuQYk/ZapYpjj3gnVKoY5tnG56zUsX6Hwae1iqJLeSVkZ+gXll3qvzmdMUxD447YvmfC4s6Vh+JmU4HVnyrbaA8D3Xa9hePMzgn0k6R8p3QMuo6y+fsz20W1nFTCVcGJ739ZzmSsSyEV1kranbGW+i3I2a2Ah8Ppav0S7ufwEeJHtO2qNOZt1iThvsn3ChMdp2jB8aKx1gdcAi7vzaRtTkl/OrTF+N4dBz8vqZwT7StI1lNXg+7vyM+fUTLKaTVTadH0ceBLlzUTt4x3j5pSEk99BtlZ7rNvG/ABT5UcG/4AnnbH4WMr23WNY/ozKPdQv/XAzFeuGzRZdJ493AE+mlN/4Vnd9CKWO3kQDORo3DJe00PY9lK2c87p7/41yxOAHK/nSmRp/tpwR7KuHbN8PYPuObmW0rw4Ddm+1vZyEk9WXFbke60pvvJuyvbCsmn2t1SlJT+0O2Dcj6RhK6YmzWP6cYJVep610Wbp3Ujp57MTUu/GDJtzRYjD+cK/N5Z4C1ra95oTHP9P2bpJuYOp8zsDE38x0v7x2AfYbPSNIWR2qdUawlyTdBQzqZQp42dB1taLss4GkC223OJs8GP/9Q5dLgBuBkxtk8M9ZCeR6TNIltmtl540bf0PgbymHWpt0dhh5EVnG7dunTdTw1kW3nXobsGmfXjy7VbGnTDqxZZqxZ8UZwb6StNKi2ysrlD1fdFuqUAqQ/z5wKsu/mT2lwhy2odSQ62vCyYzI1mq//bukTwCnsPw/4Fo1tAadHXajUWeHQcAmad3BVktPLCt6a3uppFv6FMRBWXaTdBbQ4izOmqNBXDenX0qa6Gpk9CNQWwW7Dz2+n5JwM2DK74WJGUk4OUxSEk4epazI9Zikfx9z27VWxGZJZ4ftgWOA9WxvKmlr4O2e6kM7L41sbQpYh/Ji3vygc02SjgM+Y/vSyuNOm51dO3M7ooUknMycrMj1mO0dG09hNnR2OBJ4NeXAP7avlPTyynOozvYarecwS7wIeLOkmyiBba3yM1tLumfM/UEtrYgqujczB9m+q7t+AnCE7b+Y8NBJOJkhCeR6TNJGwEeBTWzvImlLYHvbx1SaQvPODgC2bx5U1u8sne5zY955dYtBE0jHLPLcQRAHYPtOSTXOaG4u6fTusYAthq57lXCyuhLI9duXKL0239td/wflzFqtQO6aMZ0dai+t3yzpJYC7s0kHUQrkRg/YvqlL9tiIvB72jqQzWLFF1N2UEjSf78m50QWSnmD7TlhWhqfGv4XXjVwfXmHMeSkvXP32RNtfl3QogO0l3dmpWv6PpP9u+1aAbkvzs9Q9fL4/8GlKPbVbgXMp9dSiB0Y6e/y2u22gF509gp8BGwIndtd7Ab8BngkcDbyl0bxqOgK4WNJJlJWxPwM+MulBk3AycxLI9dt93SFTA0h6MXWL4+4PnCppd0oRyI8Br604Pl3m4JtrjhmzykHAs9LZo7deMnLA/oxBwlV3GH/es328pB8Ar6T8LniD7WsbTyt+Bwnk+u1gyiH/LSRdSHlnWq2zgu1LJR1IWQV7EPiTWm2KJB3Filsqw3M7sMY8orledvaIZdaTtOmglqCkTSldZ6BCh5FZZE2mimKn/M0ck0Cux2xf3hXGfBblH/F1th9+hC9bbWPOpaxL+WV6jKRah1wn3oYp5oSfAed19eR609kjljkEuEDSTymvgZsBfyXpccBxTWdWiaSDgLcBJ1P+Dr4i6Qu2j2o7s1hVqSPXc91B/6cxFNTbPn7CY/a+qnrMDn3t7BFTJK0FPLu7vK4nCQ7LSLqKUq3gvu76ccDFFUrwDMZPwslqSiDXY5K+DGwBXMFUyQ33YVtxmhePZZL6HtEPLd7MziaSFlMK8z7YXa8NXDpo4Vdh/E+zYsLJPZTX54W2+5Bwslqytdpv2wJbunI0L+k3LB9EianG5bW6CiTVPQbdTVb4+a/Z7zfame7NLNCbQI5SguoSSd/orvegXgkqSMLJaksg129XU5ol31ZzUNvr1xxvmjlk+zYA/nro8drAnwJLGs0l6mvyZnY2kPQU2zfb/qSk84AduqcWUcox1ZKEk9WUQK6HhrYV1weulfR9lj/oXW1bsett+rLu8ru2r6o1djf+MyhlT7ZkqDWS7c1rziPasH3ZyK0Lu38P0Q9N3szOEt+S9BrbN9q+HLgcQNJfUIrEn1lpHr1POFldCeT6aVZsKw5lS53S3TqhQbbUsZSCsJ+idJdYBKTnX090VewHFgAvADZoNJ2o74k0fjPb0MHAuZJ2tX09gKT3UOpqrjQhbSbZPrt7Qz0u4eTIWvOYy5Ls0EOSng5sZPvCkfs7ALfZ/mmleTTNlurGvMz2CyQtHhzuHdyrNYdoR9INTJ3PXALcAHzI9gVNJxZVTJdB35ejF5J2Aj5PORe3L/BCYNdBu66K8+h1wsnqyopcPx0JHDrm/t3dc7tXmodYvkH9UqaKUtbykKQFwPWSDqC06VrvEb4m5gnbm7WeQ7TTl4BtOra/LWkRcB5wEfDK2uU+knCy+hLI9dNGtheP3rS9WNLTKs6jdbYUlBZN6wIHAh+mtKnZp/IcojJJ2wE32/55d/1WSqLDTcAHbP+65fxisiRdYHuH6TLoK2XONzX0ZxewFrATcLuk2n8HvU04mSnZWu0hSdfbfsY0z/3E9tMnPP5TbN/cPX4+U9lS3wOebLvWIdvoKUmXU1rC/VrSy4GvAu8EtgH+0Ha1VnURfSbpJOBA231MOJkRWZHrpx9Iepvto4dvStoXGM3im4TZki2FpGcCfwM8leXPZ6SO2Py2xtCq217AF2yfDJws6YqG84qKJG0B3GL7IUmvAJ4LHG/7rrYz65U+J5zMiKzI9ZCkjYBvUGr0DAK3bYHHAq8fbDdNcPzXUs7ijcuW2sX2LZMcf2QuVwKfo/w9LDuvN6YsRcwjkq4GtrG9RNKPgf1sf3fwnO3ntJ1h1NAF7dtSDtqfDZwG/JHt17acV5/0PeFkJmRFrods/wJ4iaQdgcEvrLNsf6fS+GdLegj4pqThbKmX186WApbY/pfKY0Z7JwLnS/oV8ABlW3+Q0X13y4lFVb/tgvnXA0fZPkrSD1tPqk8SsK2+rMhFM5JeRlkZvAjYs2a21FD9sAOB27t5DC/r57D7PCfpxcDGwLlDJXCeCazXbfnHPCfpEsruwHuB3W3fkBXZOpJwMnMSyEV1Y7KlHmaq9EiVf8Aj9cNGOZ0dIuY/SVsC+1PqV54oaTPKm8qPN55axCpLIBcRERFNJOFk9SWQi16S9OeUn/8vj9x/C7DU9r+2mVlETJqkr9veU9Jilt/WA6Bmd5m+S8LJ6ksgF73UnY3Zyfa9I/cfB3w3Lboi5i9JG9u+TdJTxz1v+6bac+orSZfbfr6kvwEeHCSc2H5e67nNFclajb5aczSIA7B9n6Q1W0woIuoYFJ8dDdi6dn17Uzp8RB0PS9qb0lFn0B4yr8G/gwWtJxDRyDrd6ttyJK1PqacXEfOUpIWSDpX0GUmvUvFO4GfAnq3n1zOLgO2Bj3RZw5sBX36Er4kh2VqNXpL015TegvsP3pV3fWY/C5xn+xPtZhcRkyTpNOBO4GLK68CTKBnsB9lOZ4+YUxLIRW9J2h84FFivu3Uv8M8pEBwxv0labHur7vEawG3ApjVrWfZdEk5mTgK56L1uOxXbv2k9l4iYvMEB++muY/KScDJzEshFRESvSFoK3De4BNYB7iddBZobJJzYPqH1XOaKBHIRERFRlaSFwDuAJwOnA98CDgAOAa60/bqG05tTEshFREREVUk4mTkJ5KKXJL1hZc/bPqXWXCIi+iYJJzMnBYGjr3ZfyXMGEshFREzOw4MHtpdKuiVB3KOTFbmIiIioKgknMyeBXPSepF2BPwLWHtyz/aF2M4qIiFg1adEVvSbpc8BewDsp7wTfCIytaxQRETHbZEUuek3SVbafO/Tf9YBv2n5Z67lFREQ8kqzIRd890P33fkmbUA7gbtxwPhEREassWavRd2dKejzwCeBySsbq0W2nFBERsWqytRrRkbQWsLbtu1vPJSIiYlVkazV6TdJlkt4h6Qm2H0oQFxERc0kCuei7vYBNgEslfVXSqyWp9aQiIiJWRbZWIwBJC4DdgH8BlgLHAp+2/eumE4uIiFiJrMhF70l6LnAEJeHhZEotuXuA77ScV0RExCNJ1mr0mqTLgLuAY4D32H6oe+oSSS9tN7OIiIhHlq3V6DVJm9v+Wet5REREPBrZWo2+u0PSJyX9oPs4QtIGrScVERGxKhLIRd99EfgNsGf3cQ8l0SEiImLWy9Zq9JqkK2xv80j3IiIiZqOsyEXfPSBph8FFl+DwwEo+PyIiYtbIilz0mqRtgOOADQABvwb2sX1V04lFRESsggRyEYCkhd3D+4A32T6h5XwiIiJWRbZWo5ckLZR0qKTPSNqZkvDwVuAnlKSHiIiIWS8rctFLkk4D7gQuBnYCnkTZWj3I9hUt5xYREbGqEshFL0labHur7vEawG3AprYfbDuziIiIVZet1eirhwcPbC8FbkkQFxERc01W5KKXJC2lJDZA2VJdB7i/e2zbC6f72oiIiNkigVxERETEHJWt1YiIiIg5KoFcRERExByVQC4iIiJijkogFxERETFHJZCLiN6RdO/Qx8Pdx7J73eecJ+mhkc+9V9JWI9/rzZIs6f1jxjmve27Pkfsv6u7fOHRvQ0nHSLq1G+c2Sd+UtPGE/hoiYh5IIBcRvWN7vcEHcBxwwsi9gQ8P3+8+Fo98u7cDvwb+sisuPepHwNtG7r2tuz/sK8D6wPO6OWwNnAiktEBETCuBXETEoyTpD4GXAfsAGwO7jPm0U4DnSdq8+5r1gT8Fjh35vJcAX7J9O4Dt220fb/vnk5p/RMx9CeQiIh69/YCrbJ8JnE1ZnRv1IHAC8Jfd9d7A+ZS2cMO+C3xC0n6SnjfN6l5ExHISyEVETO+9ku4a/hg8IWlt4K1MrawdA+wi6Q/GfJ+jgUWSHkMJ/o4e8zl7UbZXFwEXAXdIOrIbJyJirARyERHT+4jtxw9/DD33RmA9SvAFZUXul8C+o9/E9tXATcD7gCcB54z5nHttf8z29sAGlCBxEfD3M/kHioj5JYFcRMSjsx+wBnC1pJ8DtwBPYPqkhy9QArkv2l66sm9s+79snw78G7DNzE47IuaTBHIREb8jSVsCOwCvpwRag48XAr8PvHbMl50IvAr49DTf85OStpO0tqQFkl4B7Ah8b+b/BBExXzym9QQiImax90l6z8i9NwE7A5fbPmPkuZ9LOomS9LDcc7YfpKywTWcB5bzdppSSI7cChwNHPPrpR8R8JzsliiIiIiLmomytRkRERMxRCeQiIiIi5qgEchERERFzVAK5iIiIiDkqgVxERETEHJVALiIiImKOSiAXERERMUclkIuIiIiYo/4/vS9mfFPNgscAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dwbKIC_vUfSS"
      },
      "source": [
        "###  Number of Matches played each season\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kyFddPmML8Ps",
        "outputId": "31e77b61-8297-4926-8a43-28c6d96f79ac"
      },
      "source": [
        "count_df = matches.iloc[:, 1]\n",
        "season = count_df.value_counts().keys().tolist()\n",
        "values = count_df.value_counts().tolist()\n",
        "print('Season {score}\\n\\nMatches played {run}'.format(score = season, run = values))"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Season [2013, 2012, 2011, 2019, 2018, 2016, 2014, 2010, 2017, 2015, 2008, 2009]\n",
            "\n",
            "Matches played [76, 74, 73, 60, 60, 60, 60, 60, 59, 59, 58, 57]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 350
        },
        "id": "XCdBT_cgU5k8",
        "outputId": "7d4bb19a-86f2-4cfa-ea93-c6c511fcc9f2"
      },
      "source": [
        "plt.gcf().set_size_inches(10,5)\n",
        "plt.xlabel('SEASON')\n",
        "plt.ylabel('MATCHES PLAYED')\n",
        "plt.title('MATCHES PLAYED EACH SEASON')\n",
        "plt.bar(season, values, color = '#FF5733')\n",
        "plt.xticks(season)\n",
        "plt.show()"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xmOrHnAhYi3s",
        "outputId": "5768fed1-aba3-4895-d2d4-ff581fe929db"
      },
      "source": [
        "ManOfTheMatch = matches.iloc[:, 13]\n",
        "players = ManOfTheMatch.value_counts().head(30).keys().tolist()\n",
        "runs = ManOfTheMatch.value_counts().head(30).tolist()\n",
        "print('Man of the match {man}\\n\\nRuns{run}'.format(man = players, run = runs))"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Man of the match ['CH Gayle', 'AB de Villiers', 'RG Sharma', 'MS Dhoni', 'DA Warner', 'YK Pathan', 'SR Watson', 'SK Raina', 'G Gambhir', 'V Kohli', 'MEK Hussey', 'AM Rahane', 'V Sehwag', 'A Mishra', 'AD Russell', 'DR Smith', 'KA Pollard', 'JH Kallis', 'SE Marsh', 'SP Narine', 'AT Rayudu', 'RA Jadeja', 'SR Tendulkar', 'UT Yadav', 'Harbhajan Singh', 'AC Gilchrist', 'RV Uthappa', 'Rashid Khan', 'M Vijay', 'A Nehra']\n",
            "\n",
            "Runs[21, 20, 17, 17, 17, 16, 15, 14, 13, 12, 12, 12, 11, 11, 11, 11, 10, 10, 9, 9, 9, 8, 8, 8, 8, 7, 7, 7, 6, 6]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "onpYN4AXydhZ"
      },
      "source": [
        "PIE CHART TO REPRESENT MAN OF THE MATCH "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 591
        },
        "id": "EmqF-M0kw4PD",
        "outputId": "ee0905c0-7343-4cd0-9a16-80165e9a3a33"
      },
      "source": [
        "#counting the number of man of the match awards received by each player\n",
        "man_count = matches['player_of_match'].value_counts()\n",
        "names = man_count.index.tolist()\n",
        "\n",
        "#plotting the data of top 10 players\n",
        "plt.figure(figsize=(10,10))\n",
        "plt.pie(man_count.head(10),labels=names[:10],autopct='%.0f%%',explode=(0.1,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0),shadow=True,startangle=90)\n",
        "plt.title('MAN OF THE MATCH STATISTICS IN PIE CHART');"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 621
        },
        "id": "rzdoaVMbYoIc",
        "outputId": "fed3a775-e45f-4e05-ba62-fa247891e838"
      },
      "source": [
        "plt.gcf().set_size_inches(10,10)\n",
        "plt.xlabel('PLAYERS')\n",
        "plt.ylabel('AWARDS')\n",
        "plt.title('MOST MAN OF THE MATCH AWARDS')\n",
        "plt.barh(players, runs, color = '#581845' )\n",
        "plt.gca().invert_yaxis()\n",
        "plt.xlim(5, 25)\n",
        "plt.show()"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MwNgpXp7xjOV"
      },
      "source": [
        "### Probability of Toss determining winner "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FU_BQdPYxjOV"
      },
      "source": [
        "prob_toss_win = matches.loc[:, ['toss_winner', 'winner']]\n",
        "when_true = prob_toss_win['toss_winner'] == prob_toss_win['winner']\n",
        "prob_toss_win = prob_toss_win[when_true]\n",
        "percentage = (prob_toss_win.shape[0]/matches.shape[0]) * 100"
      ],
      "execution_count": 19,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 264
        },
        "id": "jGqK3iYoxjOW",
        "outputId": "49da232f-dca6-4d59-b953-046a06ea547f"
      },
      "source": [
        "labels = ['WIN', 'LOSS']\n",
        "percent = [percentage, 100 - percentage]\n",
        "plt.pie(percent, labels = labels,autopct='%1.1f%%', startangle=90)\n",
        "plt.title('Probability of Toss determining winner')\n",
        "pie_toss_winner = plt.Circle((0,0), 0.2, color='white')\n",
        "p = plt.gcf()\n",
        "p.gca().add_artist(pie_toss_winner)\n",
        "plt.show()"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "cUon4-8ixjOY"
      },
      "source": [
        "It's okay if you've lost the toss, you still have an equal chance of winning the match. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "psJCHwCJxjOZ"
      },
      "source": [
        "`Importing Deliveries.csv file`"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 694
        },
        "id": "3nPjvCt-ozLu",
        "outputId": "0befb68c-09ca-4625-af4c-46f938ccd2dd"
      },
      "source": [
        "cricket = pd.read_csv('deliveries.csv')\n",
        "cricket"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>wide_runs</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>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</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>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</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>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</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>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</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>2</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</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",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41299</th>\n",
              "      <td>176</td>\n",
              "      <td>1</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Rajasthan Royals</td>\n",
              "      <td>14</td>\n",
              "      <td>4</td>\n",
              "      <td>AT Rayudu</td>\n",
              "      <td>SS Tiwary</td>\n",
              "      <td>YK Pathan</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41300</th>\n",
              "      <td>176</td>\n",
              "      <td>1</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Rajasthan Royals</td>\n",
              "      <td>14</td>\n",
              "      <td>5</td>\n",
              "      <td>SS Tiwary</td>\n",
              "      <td>AT Rayudu</td>\n",
              "      <td>YK Pathan</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41301</th>\n",
              "      <td>176</td>\n",
              "      <td>1</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Rajasthan Royals</td>\n",
              "      <td>14</td>\n",
              "      <td>6</td>\n",
              "      <td>AT Rayudu</td>\n",
              "      <td>SS Tiwary</td>\n",
              "      <td>YK Pathan</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41302</th>\n",
              "      <td>176</td>\n",
              "      <td>1</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Rajasthan Royals</td>\n",
              "      <td>15</td>\n",
              "      <td>1</td>\n",
              "      <td>SS Tiwary</td>\n",
              "      <td>AT Rayudu</td>\n",
              "      <td>AA Jhunjhunwala</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41303</th>\n",
              "      <td>176</td>\n",
              "      <td>1</td>\n",
              "      <td>Mumbai Indians</td>\n",
              "      <td>Rajasthan Royals</td>\n",
              "      <td>15</td>\n",
              "      <td>2</td>\n",
              "      <td>SS Tiwary</td>\n",
              "      <td>AT Rayudu</td>\n",
              "      <td>AA Jhunjhunwala</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>41304 rows × 21 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       match_id  inning  ... dismissal_kind fielder\n",
              "0             1       1  ...            NaN     NaN\n",
              "1             1       1  ...            NaN     NaN\n",
              "2             1       1  ...            NaN     NaN\n",
              "3             1       1  ...            NaN     NaN\n",
              "4             1       1  ...            NaN     NaN\n",
              "...         ...     ...  ...            ...     ...\n",
              "41299       176       1  ...            NaN     NaN\n",
              "41300       176       1  ...            NaN     NaN\n",
              "41301       176       1  ...            NaN     NaN\n",
              "41302       176       1  ...            NaN     NaN\n",
              "41303       176       1  ...            NaN     NaN\n",
              "\n",
              "[41304 rows x 21 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "n7OnfWiRxjOa",
        "outputId": "5e662a92-c9ae-4a7f-cef6-5ea0588fb372"
      },
      "source": [
        "cricket.shape"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(41304, 21)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w-VlnnWRxjOb",
        "outputId": "dbc45d85-3068-4c37-805d-af3c1777bdba"
      },
      "source": [
        "cricket.columns"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['match_id', 'inning', 'batting_team', 'bowling_team', 'over', 'ball',\n",
              "       'batsman', 'non_striker', 'bowler', 'is_super_over', 'wide_runs',\n",
              "       'bye_runs', 'legbye_runs', 'noball_runs', 'penalty_runs',\n",
              "       'batsman_runs', 'extra_runs', 'total_runs', 'player_dismissed',\n",
              "       'dismissal_kind', 'fielder'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kKy86e4_xjOb",
        "outputId": "3b1ee7aa-ab62-44e8-cf80-94ac09541970"
      },
      "source": [
        "matches.isna().sum()"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "id                 0\n",
              "season             0\n",
              "city               0\n",
              "date               0\n",
              "team1              0\n",
              "team2              0\n",
              "toss_winner        0\n",
              "toss_decision      0\n",
              "result             0\n",
              "dl_applied         0\n",
              "winner             0\n",
              "win_by_runs        0\n",
              "win_by_wickets     0\n",
              "player_of_match    0\n",
              "venue              0\n",
              "umpire1            0\n",
              "umpire2            0\n",
              "umpire3            0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rkw2YaeExjOc"
      },
      "source": [
        ""
      ],
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xRwmywiKoEaI"
      },
      "source": [
        "## TOP SCORE (Batting)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Jj_uv6A5oD10"
      },
      "source": [
        "# To Find the highest score by an individual IPL player\n",
        "h_score = cricket.groupby(['batsman'])\n",
        "player_runs = dict()\n",
        "\n",
        "# For loop for sorting the higest score by each player\n",
        "for batsman,group in h_score:\n",
        "    runs = h_score.get_group(batsman).batsman_runs.sum()\n",
        "    player_runs.setdefault(batsman,runs)\n",
        "sort=sorted(player_runs.items(),reverse=True,key=lambda x: x[1])\n",
        "\n",
        "# Empty dict to store values\n",
        "batsman=[]\n",
        "batsman_runs=[]\n",
        "\n",
        "# Sorting out the best\n",
        "for i in dict(sort).keys():\n",
        "    batsman.append(i)\n",
        "for i in dict(sort).values():\n",
        "    batsman_runs.append(i)"
      ],
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 476
        },
        "id": "imu1NUdnaCjo",
        "outputId": "d4111f9a-ed71-45a6-f01f-b7e0709b3ff9"
      },
      "source": [
        "plt.figure(figsize=(13,6))\n",
        "plt.xticks(rotation=90)\n",
        "barplot=plt.bar(batsman[:11],batsman_runs[:11])\n",
        "\n",
        "# Authentic Color of each teams (Eg: MS DHONI Team - CSK, Color - Yellow)\n",
        "barplot[0].set_color('#EC1C24')\n",
        "barplot[1].set_color('#FFFF3C')\n",
        "barplot[2].set_color('#004BA0')\n",
        "barplot[3].set_color('#FF822A')\n",
        "barplot[4].set_color('#00008B')\n",
        "barplot[5].set_color('#ED1B24')\n",
        "barplot[6].set_color('#FFFF3C')\n",
        "barplot[7].set_color('#FFFF3C')\n",
        "barplot[8].set_color('#EC1C24')\n",
        "barplot[9].set_color('#00008B')\n",
        "barplot[10].set_color('#00008B')\n",
        "\n",
        "plt.xlabel('PLAYERS',fontsize=13)\n",
        "plt.ylabel('RUNS',labelpad=15,fontsize=13)\n",
        "plt.title('RUNS BY AN INDIVIDUAL PLAYER')"
      ],
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'RUNS BY AN INDIVIDUAL PLAYER')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 26
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 936x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vfa46yNWzWA8"
      },
      "source": [
        "# Highest wicket takers in the IPL"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yMSifJh4n9mN",
        "outputId": "69dbbd9e-1082-4264-ea36-b34b73776914"
      },
      "source": [
        "wicket = cricket.loc[:, ['batsman', 'bowler', 'dismissal_kind']]\n",
        "dismissal_kinds = [\n",
        " 'caught',\n",
        " 'bowled',\n",
        " 'run out',\n",
        " 'lbw',\n",
        " 'caught and bowled',\n",
        " 'stumped',\n",
        " 'hit wicket']\n",
        "is_bowler = (wicket['dismissal_kind'] == 'bowled') | (wicket['dismissal_kind'] == 'caught') | (wicket['dismissal_kind'] == 'caught and bowled') | (wicket['dismissal_kind'] == 'stumped') | (wicket['dismissal_kind'] == 'lbw') | (wicket['dismissal_kind'] == 'hit wicket')\n",
        "bowler_data = wicket[is_bowler].loc[:, ['bowler']]\n",
        "bowler = bowler_data['bowler'].value_counts().head(10).keys().tolist()\n",
        "wickets = bowler_data['bowler'].value_counts().head(10).tolist()\n",
        "print('Bowler {bowl}\\n\\nWickets{wick}'.format(bowl = bowler, wick = wickets))"
      ],
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Bowler ['A Nehra', 'RP Singh', 'PP Chawla', 'A Mishra', 'SK Warne', 'IK Pathan', 'MM Patel', 'JA Morkel', 'P Kumar', 'PP Ojha']\n",
            "\n",
            "Wickets[39, 39, 35, 35, 33, 32, 31, 30, 30, 29]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 621
        },
        "id": "XElO2LbyzhSH",
        "outputId": "b5cd6d1e-37ad-414e-c7ec-7c158d10cf1b"
      },
      "source": [
        "plt.gcf().set_size_inches(20,10)\n",
        "plt.xlabel('BOWLER')\n",
        "plt.ylabel('WICKETS')\n",
        "plt.title('HIGHEST WICKET TAKERS')\n",
        "plt.bar(bowler, wickets, color = '#911668')\n",
        "plt.show()"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fnDZMiIE1bA_"
      },
      "source": [
        "# Top 10 Stadiums"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sFAmE39Y1_4I"
      },
      "source": [
        "#finding the top 10 stadiums with maximum match counts \n",
        "count_stadium=matches['venue'].value_counts().head(20)\n",
        "stadium_names=matches['venue'].value_counts().head(20).index.tolist()"
      ],
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 507
        },
        "id": "Wa7M0aUs4jTS",
        "outputId": "de6a97e2-ac41-49fb-9ae8-cbc7ce879de8"
      },
      "source": [
        "plt.figure(figsize=(20,10))\n",
        "plt.plot(count_stadium,stadium_names,'p--',marker='o')\n",
        "plt.tick_params(axis='x',which='major' ,labelsize=15)\n",
        "plt.tick_params(axis='y',which='major' ,labelsize=15)\n",
        "plt.ylabel('STADIUM',labelpad=15,fontsize=15)\n",
        "plt.xlabel('NUMBER OF MATCHES',labelpad=10,fontsize=15)\n",
        "plt.title('STADIUM-MATCH OCCURENCE',fontsize=15);"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Tr9KCpKRxjOi"
      },
      "source": [
        "###  Venue and match played "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DYcYJFFHxjOi"
      },
      "source": [
        "matches['winner'] = matches['winner'].replace('Rising Pune Supergiant','Rising Pune Supergiants')\n",
        "matches['team1'] = matches['team1'].replace('Rising Pune Supergiant','Rising Pune Supergiants')\n",
        "matches['team2'] = matches['team2'].replace('Rising Pune Supergiant','Rising Pune Supergiants')"
      ],
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "lG1PPPOyxjOj",
        "outputId": "642bd71f-fcea-43b2-dfbd-2de3cdb0a643"
      },
      "source": [
        "city_venue = matches.groupby(['city','venue']).count()['season']\n",
        "city_venue_df = pd.DataFrame(city_venue)\n",
        "city_venue_df"
      ],
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>season</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>city</th>\n",
              "      <th>venue</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <th>Dubai International Cricket Stadium</th>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Abu Dhabi</th>\n",
              "      <th>Sheikh Zayed Stadium</th>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ahmedabad</th>\n",
              "      <th>Sardar Patel Stadium, Motera</th>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bangalore</th>\n",
              "      <th>M Chinnaswamy Stadium</th>\n",
              "      <td>66</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">Bengaluru</th>\n",
              "      <th>M Chinnaswamy Stadium</th>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>M. Chinnaswamy Stadium</th>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Bloemfontein</th>\n",
              "      <th>OUTsurance Oval</th>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cape Town</th>\n",
              "      <th>Newlands</th>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Centurion</th>\n",
              "      <th>SuperSport Park</th>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">Chandigarh</th>\n",
              "      <th>Punjab Cricket Association IS Bindra Stadium, Mohali</th>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Punjab Cricket Association Stadium, Mohali</th>\n",
              "      <td>35</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">Chennai</th>\n",
              "      <th>M. A. Chidambaram Stadium</th>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>MA Chidambaram Stadium, Chepauk</th>\n",
              "      <td>49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Cuttack</th>\n",
              "      <th>Barabati Stadium</th>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">Delhi</th>\n",
              "      <th>Feroz Shah Kotla</th>\n",
              "      <td>67</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Feroz Shah Kotla Ground</th>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dharamsala</th>\n",
              "      <th>Himachal Pradesh Cricket Association Stadium</th>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Durban</th>\n",
              "      <th>Kingsmead</th>\n",
              "      <td>15</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>East London</th>\n",
              "      <th>Buffalo Park</th>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">Hyderabad</th>\n",
              "      <th>Rajiv Gandhi International Stadium, Uppal</th>\n",
              "      <td>56</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Rajiv Gandhi Intl. Cricket Stadium</th>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Indore</th>\n",
              "      <th>Holkar Cricket Stadium</th>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Jaipur</th>\n",
              "      <th>Sawai Mansingh Stadium</th>\n",
              "      <td>47</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Johannesburg</th>\n",
              "      <th>New Wanderers Stadium</th>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Kanpur</th>\n",
              "      <th>Green Park</th>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Kimberley</th>\n",
              "      <th>De Beers Diamond Oval</th>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Kochi</th>\n",
              "      <th>Nehru Stadium</th>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Kolkata</th>\n",
              "      <th>Eden Gardens</th>\n",
              "      <td>77</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">Mohali</th>\n",
              "      <th>IS Bindra Stadium</th>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Punjab Cricket Association IS Bindra Stadium, Mohali</th>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"3\" valign=\"top\">Mumbai</th>\n",
              "      <th>Brabourne Stadium</th>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dr DY Patil Sports Academy</th>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Wankhede Stadium</th>\n",
              "      <td>73</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Nagpur</th>\n",
              "      <th>Vidarbha Cricket Association Stadium, Jamtha</th>\n",
              "      <td>3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Port Elizabeth</th>\n",
              "      <th>St George's Park</th>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">Pune</th>\n",
              "      <th>Maharashtra Cricket Association Stadium</th>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Subrata Roy Sahara Stadium</th>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Raipur</th>\n",
              "      <th>Shaheed Veer Narayan Singh International Stadium</th>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Rajkot</th>\n",
              "      <th>Saurashtra Cricket Association Stadium</th>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Ranchi</th>\n",
              "      <th>JSCA International Stadium Complex</th>\n",
              "      <td>7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Sharjah</th>\n",
              "      <th>Sharjah Cricket Stadium</th>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th rowspan=\"2\" valign=\"top\">Visakhapatnam</th>\n",
              "      <th>ACA-VDCA Stadium</th>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket Stadium</th>\n",
              "      <td>11</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                                   season\n",
              "city           venue                                                     \n",
              "0              Dubai International Cricket Stadium                      7\n",
              "Abu Dhabi      Sheikh Zayed Stadium                                     7\n",
              "Ahmedabad      Sardar Patel Stadium, Motera                            12\n",
              "Bangalore      M Chinnaswamy Stadium                                   66\n",
              "Bengaluru      M Chinnaswamy Stadium                                    7\n",
              "               M. Chinnaswamy Stadium                                   7\n",
              "Bloemfontein   OUTsurance Oval                                          2\n",
              "Cape Town      Newlands                                                 7\n",
              "Centurion      SuperSport Park                                         12\n",
              "Chandigarh     Punjab Cricket Association IS Bindra Stadium, M...      11\n",
              "               Punjab Cricket Association Stadium, Mohali              35\n",
              "Chennai        M. A. Chidambaram Stadium                                8\n",
              "               MA Chidambaram Stadium, Chepauk                         49\n",
              "Cuttack        Barabati Stadium                                         7\n",
              "Delhi          Feroz Shah Kotla                                        67\n",
              "               Feroz Shah Kotla Ground                                  7\n",
              "Dharamsala     Himachal Pradesh Cricket Association Stadium             9\n",
              "Durban         Kingsmead                                               15\n",
              "East London    Buffalo Park                                             3\n",
              "Hyderabad      Rajiv Gandhi International Stadium, Uppal               56\n",
              "               Rajiv Gandhi Intl. Cricket Stadium                       8\n",
              "Indore         Holkar Cricket Stadium                                   9\n",
              "Jaipur         Sawai Mansingh Stadium                                  47\n",
              "Johannesburg   New Wanderers Stadium                                    8\n",
              "Kanpur         Green Park                                               4\n",
              "Kimberley      De Beers Diamond Oval                                    3\n",
              "Kochi          Nehru Stadium                                            5\n",
              "Kolkata        Eden Gardens                                            77\n",
              "Mohali         IS Bindra Stadium                                        7\n",
              "               Punjab Cricket Association IS Bindra Stadium, M...       3\n",
              "Mumbai         Brabourne Stadium                                       11\n",
              "               Dr DY Patil Sports Academy                              17\n",
              "               Wankhede Stadium                                        73\n",
              "Nagpur         Vidarbha Cricket Association Stadium, Jamtha             3\n",
              "Port Elizabeth St George's Park                                         7\n",
              "Pune           Maharashtra Cricket Association Stadium                 21\n",
              "               Subrata Roy Sahara Stadium                              17\n",
              "Raipur         Shaheed Veer Narayan Singh International Stadium         6\n",
              "Rajkot         Saurashtra Cricket Association Stadium                  10\n",
              "Ranchi         JSCA International Stadium Complex                       7\n",
              "Sharjah        Sharjah Cricket Stadium                                  6\n",
              "Visakhapatnam  ACA-VDCA Stadium                                         2\n",
              "               Dr. Y.S. Rajasekhara Reddy ACA-VDCA Cricket Sta...      11"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XCmou1AOysDG"
      },
      "source": [
        "### NUMBER OF MATCHES HELD IN EACH STADIUM\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 645
        },
        "id": "M984YdPyy8qB",
        "outputId": "3d6618ec-a933-4889-e748-57bf80704829"
      },
      "source": [
        "# Plot to visualise the no. of matches held in each city\n",
        "sns.countplot(y='city', data=matches)\n",
        "plt.gcf().set_size_inches(20,10)\n",
        "plt.title('NUMBER OF MATCHES HELD IN EACH STADIUM\\n') \n",
        "plt.xlabel('\\nNUMBER OF MATCHES HELD')  \n",
        "plt.ylabel('STADIUM\\n')\n",
        "plt.xlim([0,120])\n",
        "plt.show()"
      ],
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rvkb5Nas0Sgz"
      },
      "source": [
        "### NUMBER OF MATCHES WON BY EACH TEAM"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "P1PCVX3ly8hA",
        "outputId": "a0db9081-b05e-4e80-ed41-49111441914b"
      },
      "source": [
        "stat_won = matches['winner'].value_counts()\n",
        "stat_won"
      ],
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Mumbai Indians                 109\n",
              "Chennai Super Kings            100\n",
              "Kolkata Knight Riders           92\n",
              "Royal Challengers Bangalore     84\n",
              "Kings XI Punjab                 82\n",
              "Rajasthan Royals                75\n",
              "Delhi Daredevils                67\n",
              "Sunrisers Hyderabad             58\n",
              "Deccan Chargers                 29\n",
              "Rising Pune Supergiants         15\n",
              "Gujarat Lions                   13\n",
              "Pune Warriors                   12\n",
              "Delhi Capitals                  10\n",
              "Kochi Tuskers Kerala             6\n",
              "0                                4\n",
              "Name: winner, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 376
        },
        "id": "EzpFFOnx0ZPV",
        "outputId": "127b6112-44d9-442f-dd7a-9d28e51d4d5a"
      },
      "source": [
        "fig, ax=plt.subplots()\n",
        "ax.set_xlim([0,120])\n",
        "plt.gcf().set_size_inches(10,5)\n",
        "sns.barplot(y=stat_won.index, x=stat_won, orient='h')\n",
        "plt.title('NUMBER OF MATCHES WON BY EACH TEAM\\n')  \n",
        "plt.xlabel(\"\\n NUMBER OF MATCHES WON\")\n",
        "plt.ylabel('TEAMS\\n')\n",
        "plt.show()"
      ],
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qFTLdU5z4ssg"
      },
      "source": [
        "### Average score of batsmen"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hKnLoHgb4mZC"
      },
      "source": [
        "#finding the top batsmen based on their average(runs/no.of dismissals)\n",
        "outs = cricket['player_dismissed'].value_counts().tolist()\n",
        "bat_out = cricket['player_dismissed'].value_counts().index.tolist()\n",
        "d_batout = {}\n",
        "for i in range(len(outs)):\n",
        "    d_batout.setdefault(bat_out[i],outs[i])\n",
        "run=cricket.groupby('batsman')\n",
        "bl = run['batsman_runs'].sum().index.tolist()\n",
        "br = run['batsman_runs'].sum().tolist()\n",
        "bat_run = {}\n",
        "for i in range(len(bl)):\n",
        "    bat_run.setdefault(bl[i],br[i])\n",
        "average_bat = {}\n",
        "for i in d_batout.keys():\n",
        "    if i in bat_run:\n",
        "        average_bat.setdefault(i,bat_run[i]/d_batout[i])\n",
        "result_avg = dict(sorted(average_bat.items(),reverse=True,key= lambda x:x[1]))            \n",
        "result_avg_names = list(result_avg.keys())\n",
        "result_avg_scores = list(result_avg.values())"
      ],
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 378
        },
        "id": "LLLAlXML4mV6",
        "outputId": "dff77269-487c-4c03-d239-8f10997a70ce"
      },
      "source": [
        "plt.figure(figsize=(10,5))\n",
        "plt.title('AVERAGE OF BATSMEN',fontsize=13) \n",
        "plt.barh(result_avg_names[:10],result_avg_scores[:10],color='green')\n",
        "plt.xlabel('AVERAGE RUNS',labelpad=15)\n",
        "plt.ylabel('BATSMEN',labelpad=17)"
      ],
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0, 0.5, 'BATSMEN')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 37
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fvi2zkb970sC"
      },
      "source": [
        "# Inferences and Conclusion\n",
        "\n",
        "These are the few conclusions that I can draw from the above analysis.\n",
        "\n",
        "1. There are several players who perform very good in these private tournaments. But sometimes, they aren't even selected in the playing 11 team or sometimes remain unsold. The reason can be their inconsistent performance that they become burden for their team. We can consider Chris Gayle. He performs outstanding in some matches while in other he becomes burden for the team.\n",
        "2. During the analysis, we found that which team can be considered as the most successful team over the last 12 seasons, which batsman is the highest scorer and who has taken most number of wickets.\n",
        "\n",
        "This analysis can be further more improved by adding more visualizations as the dataset is quite interesting and clean in itself.\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "07YUIJRu8DE5"
      },
      "source": [
        "# References and Future Work\n",
        "\n",
        "GITHUB - https://github.com/karthiksuki/\n",
        "\n",
        "LINKEDIN - https://www.linkedin.com/in/karthikeyan-g-86889720b/"
      ]
    }
  ]
}