T20_World_Cup_2024_data_analysis_and_visualization.ipynb

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      "source": [
        "**1**- **Problem** **definition** **and** **understanding**"
      ],
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      }
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      "cell_type": "markdown",
      "source": [
        "To analyze and visualize data from the ICC T20 World Cup 2024, providing insights into team performances, player statistics, and overall tournament trends. The goal is to uncover patterns, compare team and player performances, and create visual representations that make the data easily understandable.\n"
      ],
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      "source": [
        "**Importing libraries**"
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      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import warnings ## used to ignore warnings\n",
        "warnings.filterwarnings('ignore')"
      ],
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      "execution_count": 15,
      "outputs": []
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      "source": [
        "**loading the** **Data**"
      ],
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      }
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    {
      "cell_type": "markdown",
      "source": [
        " loading the datasets for player bowling stats, player batting stats, and team win percentages."
      ],
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    {
      "cell_type": "code",
      "source": [
        "batting_stats=pd.read_csv(r\"/content/Player Batting Stats - Most Runs.csv\")\n",
        "batting_stats\n",
        "bowling_stats=pd.read_csv(r\"/content/Player Bowling Stats - Most Wickets.csv\")\n",
        "bowling_stats\n",
        "team_stats=pd.read_csv(r\"/content/Team - Best Win Percentage.csv\")\n",
        "team_stats"
      ],
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          "height": 519
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      "execution_count": 16,
      "outputs": [
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          "data": {
            "text/plain": [
              "    Position          Team   Win %  Matches  Wins  Lost\n",
              "0          1         INDIA  100.00        8     8     0\n",
              "1          2  SOUTH AFRICA   88.89        9     8     1\n",
              "2          3   WEST INDIES   71.43        7     5     2\n",
              "3          3     AUSTRALIA   71.43        7     5     2\n",
              "4          5   AFGHANISTAN   62.50        8     5     3\n",
              "5          6       ENGLAND   50.00        8     4     3\n",
              "6          7      SCOTLAND   50.00        4     2     1\n",
              "7          8   NEW ZEALAND   50.00        4     2     2\n",
              "8          8      PAKISTAN   50.00        4     2     2\n",
              "9         10    BANGLADESH   42.86        7     3     4\n",
              "10        11           USA   33.33        6     2     4\n",
              "11        12     SRI LANKA   33.33        3     1     2\n",
              "12        13        CANADA   33.33        3     1     2\n",
              "13        14   NETHERLANDS   25.00        4     1     3\n",
              "14        15       NAMIBIA   25.00        4     1     3"
            ],
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              "      <th></th>\n",
              "      <th>Position</th>\n",
              "      <th>Team</th>\n",
              "      <th>Win %</th>\n",
              "      <th>Matches</th>\n",
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              "      <td>INDIA</td>\n",
              "      <td>100.00</td>\n",
              "      <td>8</td>\n",
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              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>SOUTH AFRICA</td>\n",
              "      <td>88.89</td>\n",
              "      <td>9</td>\n",
              "      <td>8</td>\n",
              "      <td>1</td>\n",
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              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>WEST INDIES</td>\n",
              "      <td>71.43</td>\n",
              "      <td>7</td>\n",
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              "      <td>2</td>\n",
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              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>AUSTRALIA</td>\n",
              "      <td>71.43</td>\n",
              "      <td>7</td>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
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              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>AFGHANISTAN</td>\n",
              "      <td>62.50</td>\n",
              "      <td>8</td>\n",
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              "      <td>6</td>\n",
              "      <td>ENGLAND</td>\n",
              "      <td>50.00</td>\n",
              "      <td>8</td>\n",
              "      <td>4</td>\n",
              "      <td>3</td>\n",
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              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>7</td>\n",
              "      <td>SCOTLAND</td>\n",
              "      <td>50.00</td>\n",
              "      <td>4</td>\n",
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              "      <td>1</td>\n",
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              "      <th>7</th>\n",
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              "      <td>NEW ZEALAND</td>\n",
              "      <td>50.00</td>\n",
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              "      <td>2</td>\n",
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              "      <th>8</th>\n",
              "      <td>8</td>\n",
              "      <td>PAKISTAN</td>\n",
              "      <td>50.00</td>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
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              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>10</td>\n",
              "      <td>BANGLADESH</td>\n",
              "      <td>42.86</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
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              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>11</td>\n",
              "      <td>USA</td>\n",
              "      <td>33.33</td>\n",
              "      <td>6</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>12</td>\n",
              "      <td>SRI LANKA</td>\n",
              "      <td>33.33</td>\n",
              "      <td>3</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
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              "      <th>12</th>\n",
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              "      <td>CANADA</td>\n",
              "      <td>33.33</td>\n",
              "      <td>3</td>\n",
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              "      <td>2</td>\n",
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              "      <th>13</th>\n",
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              "      <td>NETHERLANDS</td>\n",
              "      <td>25.00</td>\n",
              "      <td>4</td>\n",
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              "      <td>3</td>\n",
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              "      <th>14</th>\n",
              "      <td>15</td>\n",
              "      <td>NAMIBIA</td>\n",
              "      <td>25.00</td>\n",
              "      <td>4</td>\n",
              "      <td>1</td>\n",
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              "type": "dataframe",
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              "summary": "{\n  \"name\": \"team_stats\",\n  \"rows\": 15,\n  \"fields\": [\n    {\n      \"column\": \"Position\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4,\n        \"min\": 1,\n        \"max\": 15,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          14,\n          12,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Team\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 15,\n        \"samples\": [\n          \"BANGLADESH\",\n          \"SRI LANKA\",\n          \"INDIA\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Win %\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 22.56745053854165,\n        \"min\": 25.0,\n        \"max\": 100.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          88.89,\n          42.86,\n          100.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Matches\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 3,\n        \"max\": 9,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          8,\n          9,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Wins\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 1,\n        \"max\": 8,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          8,\n          5,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Lost\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 4,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          1,\n          4,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Exploring the data**"
      ],
      "metadata": {
        "id": "Z5mGD_FYfS-F"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Display the first 5 rows of each dataset\n",
        "bowling_stats.head()"
      ],
      "metadata": {
        "id": "ZMevNxO9eVIF",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "6da6afc8-fe0b-4023-f67b-e811304c2fd1"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Position          Team            Player Matches  Overs  Strike Rate  \\\n",
              "0         1   AFGHANISTAN  Fazalhaq FAROOQI       8   25.2         8.94   \n",
              "1         2         INDIA    Arshdeep SINGH       8   30.0        10.58   \n",
              "2         3         INDIA    Jasprit BUMRAH       8   29.4        11.86   \n",
              "3         4  SOUTH AFRICA     Anrich NORTJE       9   35.0        14.00   \n",
              "4         5   AFGHANISTAN       Rashid KHAN       8   29.0        12.42   \n",
              "\n",
              "   Wickets  \n",
              "0       17  \n",
              "1       17  \n",
              "2       15  \n",
              "3       15  \n",
              "4       14  "
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              "      <td>AFGHANISTAN</td>\n",
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              "type": "dataframe",
              "variable_name": "bowling_stats",
              "summary": "{\n  \"name\": \"bowling_stats\",\n  \"rows\": 15,\n  \"fields\": [\n    {\n      \"column\": \"Position\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4,\n        \"min\": 1,\n        \"max\": 15,\n        \"num_unique_values\": 15,\n        \"samples\": [\n          10,\n          12,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Team\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 6,\n        \"samples\": [\n          \"AFGHANISTAN\",\n          \"INDIA\",\n          \"WEST INDIES\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Player\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 15,\n        \"samples\": [\n          \"Alzarri JOSEPH\",\n          \"Keshav MAHARAJ\",\n          \"Fazalhaq FAROOQI\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Matches\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"9\",\n          \"B\",\n          \"7\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Overs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.623665830732766,\n        \"min\": 16.5,\n        \"max\": 35.0,\n        \"num_unique_values\": 14,\n        \"samples\": [\n          24.3,\n          20.1,\n          25.2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Strike Rate\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.8113131253582961,\n        \"min\": 8.94,\n        \"max\": 15.27,\n        \"num_unique_values\": 15,\n        \"samples\": [\n          11.3,\n          15.27,\n          8.94\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Wickets\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 11,\n        \"max\": 17,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          15,\n          11,\n          14\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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          },
          "metadata": {},
          "execution_count": 6
        }
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    {
      "cell_type": "code",
      "source": [
        "\n",
        "batting_stats.head()"
      ],
      "metadata": {
        "id": "irJ2ObvoeyaL",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "34dbafec-179f-4180-9a1f-9df7c6a20b2f"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Position          Team              Player  Matches  Innings  Bat Avg  Runs\n",
              "0         1   AFGHANISTAN  Rahmanullah GURBAZ        8        8    35.12   281\n",
              "1         2         INDIA        Rohit SHARMA        8        8    36.71   257\n",
              "2         3     AUSTRALIA         Travis HEAD        7        7    42.50   255\n",
              "3         4  SOUTH AFRICA     Quinton DE KOCK        9        9    27.00   243\n",
              "4         5   AFGHANISTAN      Ibrahim ZADRAN        8        8    28.87   231"
            ],
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              "      <td>AUSTRALIA</td>\n",
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              "      <td>9</td>\n",
              "      <td>27.00</td>\n",
              "      <td>243</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>5</td>\n",
              "      <td>AFGHANISTAN</td>\n",
              "      <td>Ibrahim ZADRAN</td>\n",
              "      <td>8</td>\n",
              "      <td>8</td>\n",
              "      <td>28.87</td>\n",
              "      <td>231</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-b5333cad-5afe-4940-9c3b-e0399988f891')\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-b5333cad-5afe-4940-9c3b-e0399988f891 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-b5333cad-5afe-4940-9c3b-e0399988f891');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
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              "  </div>\n",
              "\n",
              "\n",
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              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-cfe39600-0a96-40b1-bd80-5088f41b3209')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-cfe39600-0a96-40b1-bd80-5088f41b3209 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "batting_stats",
              "summary": "{\n  \"name\": \"batting_stats\",\n  \"rows\": 15,\n  \"fields\": [\n    {\n      \"column\": \"Position\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4,\n        \"min\": 1,\n        \"max\": 15,\n        \"num_unique_values\": 15,\n        \"samples\": [\n          10,\n          12,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Team\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 7,\n        \"samples\": [\n          \"AFGHANISTAN\",\n          \"INDIA\",\n          \"USA\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Player\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 15,\n        \"samples\": [\n          \"Heinrich KLAASEN\",\n          \"David WARNER\",\n          \"Rahmanullah GURBAZ\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Matches\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 6,\n        \"max\": 9,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          7,\n          6,\n          8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Innings\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 5,\n        \"max\": 9,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          7,\n          5,\n          9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Bat Avg\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 6.572446670616295,\n        \"min\": 24.42,\n        \"max\": 43.8,\n        \"num_unique_values\": 15,\n        \"samples\": [\n          31.66,\n          29.66,\n          35.12\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Runs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 35,\n        \"min\": 169,\n        \"max\": 281,\n        \"num_unique_values\": 14,\n        \"samples\": [\n          190,\n          178,\n          281\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "team_stats.head()"
      ],
      "metadata": {
        "id": "n1xMRwkGd10S",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "9e860e0b-e117-4150-8053-5014676490c3"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Position          Team   Win %  Matches  Wins  Lost\n",
              "0         1         INDIA  100.00        8     8     0\n",
              "1         2  SOUTH AFRICA   88.89        9     8     1\n",
              "2         3   WEST INDIES   71.43        7     5     2\n",
              "3         3     AUSTRALIA   71.43        7     5     2\n",
              "4         5   AFGHANISTAN   62.50        8     5     3"
            ],
            "text/html": [
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Position</th>\n",
              "      <th>Team</th>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>SOUTH AFRICA</td>\n",
              "      <td>88.89</td>\n",
              "      <td>9</td>\n",
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              "      <th>2</th>\n",
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              "      <td>WEST INDIES</td>\n",
              "      <td>71.43</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
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              "      <td>AUSTRALIA</td>\n",
              "      <td>71.43</td>\n",
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              "      <td>62.50</td>\n",
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              "\n",
              "    .colab-df-buttons div {\n",
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              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
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              "      buttonEl.style.display =\n",
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              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-52f9e14a-a198-451f-80e5-1a7db76be70e');\n",
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              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        element.appendChild(docLink);\n",
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              "    </g>\n",
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              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
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              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
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              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-48b6ddf6-174e-46f2-ba03-337ba776e39c button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "team_stats",
              "summary": "{\n  \"name\": \"team_stats\",\n  \"rows\": 15,\n  \"fields\": [\n    {\n      \"column\": \"Position\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4,\n        \"min\": 1,\n        \"max\": 15,\n        \"num_unique_values\": 13,\n        \"samples\": [\n          14,\n          12,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Team\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 15,\n        \"samples\": [\n          \"BANGLADESH\",\n          \"SRI LANKA\",\n          \"INDIA\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Win %\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 22.56745053854165,\n        \"min\": 25.0,\n        \"max\": 100.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          88.89,\n          42.86,\n          100.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Matches\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 3,\n        \"max\": 9,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          8,\n          9,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Wins\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 1,\n        \"max\": 8,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          8,\n          5,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Lost\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 4,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          1,\n          4,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Check for missing values\n",
        "bowling_stats.isnull().sum(), batting_stats.isnull().sum(), team_stats.isnull().sum()"
      ],
      "metadata": {
        "id": "U1itGMzGaw3c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "d83b457c-d3e7-4e93-e893-70b803025b00"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(Position       0\n",
              " Team           0\n",
              " Player         0\n",
              " Matches        0\n",
              " Overs          0\n",
              " Strike Rate    0\n",
              " Wickets        0\n",
              " dtype: int64,\n",
              " Position    0\n",
              " Team        0\n",
              " Player      0\n",
              " Matches     0\n",
              " Innings     0\n",
              " Bat Avg     0\n",
              " Runs        0\n",
              " dtype: int64,\n",
              " Position    0\n",
              " Team        0\n",
              " Win %       0\n",
              " Matches     0\n",
              " Wins        0\n",
              " Lost        0\n",
              " dtype: int64)"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Visualizing** **the** **Data**"
      ],
      "metadata": {
        "id": "fkEm4vmafn0p"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Let's create some visualizations to uncover interesting patterns and insights."
      ],
      "metadata": {
        "id": "HMj_gn0L-I3d"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(plt.style.available)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "74yOZTqDn4Hy",
        "outputId": "4eccdc68-ea8f-442c-d239-d02d41eb9d43"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "['Solarize_Light2', '_classic_test_patch', '_mpl-gallery', '_mpl-gallery-nogrid', 'bmh', 'classic', 'dark_background', 'fast', 'fivethirtyeight', 'ggplot', 'grayscale', 'seaborn-v0_8', 'seaborn-v0_8-bright', 'seaborn-v0_8-colorblind', 'seaborn-v0_8-dark', 'seaborn-v0_8-dark-palette', 'seaborn-v0_8-darkgrid', 'seaborn-v0_8-deep', 'seaborn-v0_8-muted', 'seaborn-v0_8-notebook', 'seaborn-v0_8-paper', 'seaborn-v0_8-pastel', 'seaborn-v0_8-poster', 'seaborn-v0_8-talk', 'seaborn-v0_8-ticks', 'seaborn-v0_8-white', 'seaborn-v0_8-whitegrid', 'tableau-colorblind10']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.style.use('fivethirtyeight')"
      ],
      "metadata": {
        "id": "yC-uIJiLqE1Z"
      },
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Top 10 bowlers by wickets\n",
        "top_bowlers = bowling_stats.nlargest(10, 'Wickets')\n",
        "plt.figure(figsize=(12, 6))\n",
        "sns.barplot(y='Wickets', x='Player', data=top_bowlers, palette='viridis')\n",
        "plt.title('Top 10 Bowlers by Wickets')\n",
        "plt.xlabel('PLAYERS')\n",
        "plt.ylabel('WICKETS')\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()"
      ],
      "metadata": {
        "id": "XqMDXduNaw85",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 593
        },
        "outputId": "3145b120-f51f-42cc-f37e-ada412a6afee"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 960x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Top 10 batsmen by runs\n",
        "top_batsmen = batting_stats.nlargest(10, 'Runs')\n",
        "plt.figure(figsize=(12, 6))\n",
        "sns.barplot(x='Runs', y='Player', data=top_batsmen, palette='magma')\n",
        "plt.title('Top 10 Batsmen by Runs')\n",
        "plt.xlabel('Runs')\n",
        "plt.ylabel('Player')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 496
        },
        "id": "I_OGZoA3B-bA",
        "outputId": "605f8c9d-3d9e-46a1-af16-311dc12e2e35"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 960x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Team win percentages\n",
        "plt.figure(figsize=(12, 6))\n",
        "sns.barplot(x='Team', y='Win %', data=team_stats, palette='coolwarm')\n",
        "plt.title('Team Win Percentages')\n",
        "plt.xlabel('Team')\n",
        "plt.ylabel('Win %')\n",
        "plt.xticks(rotation=45)  # Rotate player names for better readability\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 574
        },
        "id": "KE6ZSoQ8B-Xo",
        "outputId": "96e6b942-3874-4485-9e67-46884f059847"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 960x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Correlation heatmap for bowling stats\n",
        "numeric_bowling = bowling_stats.select_dtypes(include=[np.number])\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.heatmap(numeric_bowling.corr(), annot=True, cmap='coolwarm')\n",
        "plt.title('Correlation Heatmap - Bowling Stats')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "WzczMXdaB-T2",
        "outputId": "40101e57-4640-4da9-dab8-406751dc8d50"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Correlation heatmap for batting stats\n",
        "numeric_batting = batting_stats.select_dtypes(include=[np.number])\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.heatmap(numeric_batting.corr(), annot=True, cmap='coolwarm')\n",
        "plt.title('Correlation Heatmap - Batting Stats')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "9dYCEGmXB-Ql",
        "outputId": "0a107d5b-7e0a-4490-c0b3-5068e40383f7"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Conclusion**:\n"
      ],
      "metadata": {
        "id": "DuTliGu89SA9"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# In this notebook, we explored the top players and teams of the ICC T20 World Cup 2024. We visualized key stats, performed correlation analysis."
      ],
      "metadata": {
        "id": "o215JvZy9X5I"
      }
    }
  ]
}