EDA_Python_CI_24th_Aug.ipynb

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        "#import data\n",
        "import pandas as pd\n",
        "\n",
        "# Load the IPL Ball-by-Ball dataset\n",
        "file_path = \"IPL Ball-by-Ball 2008-2020 new.csv\"\n",
        "ipl_data = pd.read_csv(file_path)\n",
        "\n",
        "# Display the first few rows of the dataset\n",
        "ipl_data.head()\n"
      ],
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              "       id  inning  over  ball      batsman  non_striker     bowler  \\\n",
              "0  335982       1     6     5   RT Ponting  BB McCullum  AA Noffke   \n",
              "1  335982       1     6     6  BB McCullum   RT Ponting  AA Noffke   \n",
              "2  335982       1     7     1  BB McCullum   RT Ponting     Z Khan   \n",
              "3  335982       1     7     2  BB McCullum   RT Ponting     Z Khan   \n",
              "4  335982       1     7     3   RT Ponting  BB McCullum     Z Khan   \n",
              "\n",
              "  Bowler style Bowler master category  batsman_runs  extra_runs  total_runs  \\\n",
              "0       Medium                 Medium             1           0           1   \n",
              "1       Medium                 Medium             1           0           1   \n",
              "2  Fast bowler                   Fast             0           0           0   \n",
              "3  Fast bowler                   Fast             1           0           1   \n",
              "4  Fast bowler                   Fast             1           0           1   \n",
              "\n",
              "   non_boundary  is_wicket dismissal_kind player_dismissed fielder  \\\n",
              "0             0          0            NaN              NaN     NaN   \n",
              "1             0          0            NaN              NaN     NaN   \n",
              "2             0          0            NaN              NaN     NaN   \n",
              "3             0          0            NaN              NaN     NaN   \n",
              "4             0          0            NaN              NaN     NaN   \n",
              "\n",
              "  extras_type           batting_team                 bowling_team  \n",
              "0         NaN  Kolkata Knight Riders  Royal Challengers Bangalore  \n",
              "1         NaN  Kolkata Knight Riders  Royal Challengers Bangalore  \n",
              "2         NaN  Kolkata Knight Riders  Royal Challengers Bangalore  \n",
              "3         NaN  Kolkata Knight Riders  Royal Challengers Bangalore  \n",
              "4         NaN  Kolkata Knight Riders  Royal Challengers Bangalore  "
            ],
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              "      <th>3</th>\n",
              "      <td>335982</td>\n",
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      "source": [
        "# Checking the summary statistics for numerical columns\n",
        "numerical_summary = ipl_data.describe()\n",
        "\n",
        "# Checking the data types for all columns\n",
        "data_types = ipl_data.dtypes\n",
        "\n",
        "numerical_summary, data_types\n"
      ],
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      "outputs": [
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          "data": {
            "text/plain": [
              "(                 id         inning           over           ball  \\\n",
              " count  1.934680e+05  193468.000000  193468.000000  193468.000000   \n",
              " mean   7.567688e+05       1.482131       9.177027       3.615967   \n",
              " std    3.060971e+05       0.499682       5.676848       1.807128   \n",
              " min    3.359820e+05       1.000000       0.000000       1.000000   \n",
              " 25%    5.012270e+05       1.000000       4.000000       2.000000   \n",
              " 50%    7.292970e+05       1.000000       9.000000       4.000000   \n",
              " 75%    1.082628e+06       2.000000      14.000000       5.000000   \n",
              " max    1.237181e+06       2.000000      19.000000       9.000000   \n",
              " \n",
              "         batsman_runs     extra_runs     total_runs   non_boundary  \\\n",
              " count  193468.000000  193468.000000  193468.000000  193468.000000   \n",
              " mean        1.240231       0.066414       1.306645       0.000083   \n",
              " std         1.610867       0.339991       1.598802       0.009094   \n",
              " min         0.000000       0.000000       0.000000       0.000000   \n",
              " 25%         0.000000       0.000000       0.000000       0.000000   \n",
              " 50%         1.000000       0.000000       1.000000       0.000000   \n",
              " 75%         1.000000       0.000000       1.000000       0.000000   \n",
              " max         6.000000       7.000000       7.000000       1.000000   \n",
              " \n",
              "            is_wicket  \n",
              " count  193468.000000  \n",
              " mean        0.049078  \n",
              " std         0.216031  \n",
              " min         0.000000  \n",
              " 25%         0.000000  \n",
              " 50%         0.000000  \n",
              " 75%         0.000000  \n",
              " max         1.000000  ,\n",
              " id                         int64\n",
              " inning                     int64\n",
              " over                       int64\n",
              " ball                       int64\n",
              " batsman                   object\n",
              " non_striker               object\n",
              " bowler                    object\n",
              " Bowler style              object\n",
              " Bowler master category    object\n",
              " batsman_runs               int64\n",
              " extra_runs                 int64\n",
              " total_runs                 int64\n",
              " non_boundary               int64\n",
              " is_wicket                  int64\n",
              " dismissal_kind            object\n",
              " player_dismissed          object\n",
              " fielder                   object\n",
              " extras_type               object\n",
              " batting_team              object\n",
              " bowling_team              object\n",
              " dtype: object)"
            ]
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    {
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      "source": [
        "**Summary Statistics:**\n",
        "The summary statistics provide insights into the numerical columns:\n",
        "\n",
        "id: Match ID, ranging from 335982 to 1237181.\n",
        "\n",
        "inning: Innings number, mainly 1 or 2.\n",
        "\n",
        "over: Over number, ranging from 0 to 19.\n",
        "\n",
        "ball: Ball number within an over, ranging from 1 to 9.\n",
        "\n",
        "batsman_runs: Runs scored by the batsman, ranging from 0 to 6.\n",
        "\n",
        "extra_runs: Extra runs, ranging from 0 to 7.\n",
        "\n",
        "total_runs: Total runs including extras, ranging from 0 to 7.\n",
        "\n",
        "non_boundary: Indicator for non-boundary events, binary 0 or 1.\n",
        "\n",
        "is_wicket: Indicator for wickets, binary 0 or 1."
      ],
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      "source": [
        "# Checking for missing values in each column\n",
        "missing_values = ipl_data.isnull().sum()\n",
        "missing_values[missing_values > 0]\n"
      ],
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      "execution_count": 3,
      "outputs": [
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          "data": {
            "text/plain": [
              "Bowler master category       183\n",
              "dismissal_kind            183973\n",
              "player_dismissed          183973\n",
              "fielder                   186684\n",
              "extras_type               183235\n",
              "bowling_team                 191\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
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          "data": {
            "text/plain": [
              "           id  inning  over  ball    batsman non_striker       bowler  \\\n",
              "57048  501265       1     0     1    NV Ojha   DA Warner    AC Thomas   \n",
              "57049  501265       1     0     2  DA Warner     NV Ojha    AC Thomas   \n",
              "57050  501265       1     1     1  DA Warner     NV Ojha  JP Faulkner   \n",
              "57051  501265       1     1     2    NV Ojha   DA Warner  JP Faulkner   \n",
              "57052  501265       1     1     3    NV Ojha   DA Warner  JP Faulkner   \n",
              "\n",
              "                Bowler style Bowler master category  batsman_runs  extra_runs  \\\n",
              "57048            Medium-fast                 Medium             1           0   \n",
              "57049            Medium-fast                 Medium             0           1   \n",
              "57050  Right-arm fast-medium                 Medium             0           1   \n",
              "57051  Right-arm fast-medium                 Medium             0           0   \n",
              "57052  Right-arm fast-medium                 Medium             0           0   \n",
              "\n",
              "       total_runs  non_boundary  is_wicket dismissal_kind player_dismissed  \\\n",
              "57048           1             0          0            NaN              NaN   \n",
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              "57051           0             0          0            NaN              NaN   \n",
              "57052           0             0          0            NaN              NaN   \n",
              "\n",
              "      fielder extras_type      batting_team bowling_team  \n",
              "57048     NaN         NaN  Delhi Daredevils          NaN  \n",
              "57049     NaN     legbyes  Delhi Daredevils          NaN  \n",
              "57050     NaN     legbyes  Delhi Daredevils          NaN  \n",
              "57051     NaN         NaN  Delhi Daredevils          NaN  \n",
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          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "# Filling missing values in the \"Bowler master category\" column with \"Unknown\"\n",
        "ipl_data['Bowler master category'].fillna('Unknown', inplace=True)\n",
        "\n",
        "# Investigating rows with missing values in the \"bowling_team\" column\n",
        "rows_with_missing_bowling_team = ipl_data[ipl_data['bowling_team'].isnull()]\n",
        "\n",
        "# Displaying the first few rows with missing \"bowling_team\"\n",
        "rows_with_missing_bowling_team.head()\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Filling missing values in the \"bowling_team\" column with \"Unknown\"\n",
        "ipl_data['bowling_team'].fillna('Unknown', inplace=True)\n",
        "\n",
        "# Confirming that there are no missing values in the \"bowling_team\" column\n",
        "missing_bowling_team_after_fill = ipl_data['bowling_team'].isnull().sum()\n",
        "missing_bowling_team_after_fill\n"
      ],
      "metadata": {
        "id": "qKhjGnDZZe3S",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b6179c7f-1cd8-4379-96b4-16f05ccc2b02"
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      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 5
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    {
      "cell_type": "code",
      "source": [
        "# Calculating the correlation matrix for numerical columns\n",
        "correlation_matrix = ipl_data.corr()\n",
        "\n",
        "# Plotting the heatmap for the correlation matrix\n",
        "plt.figure(figsize=(12, 8))\n",
        "sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', linewidths=.5)\n",
        "plt.title('Correlation Heatmap', fontsize=14)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 841
        },
        "id": "f0YPVS82ugwF",
        "outputId": "334894e0-4dea-4293-a0c1-06201d5e92fd"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-23-fe4bedc5625a>:2: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
            "  correlation_matrix = ipl_data.corr()\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Importing necessary libraries\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# Defining the file path\n",
        "\n",
        "\n",
        "# Reading the CSV file into a DataFrame\n",
        "\n",
        "\n",
        "# Calculating the top 10 batsmen by total runs scored\n",
        "top_10_batsmen = ipl_data.groupby('batsman')['batsman_runs'].sum().sort_values(ascending=False).head(10).reset_index()\n",
        "\n",
        "# Plotting the horizontal bar graph\n",
        "plt.figure(figsize=(12, 6))\n",
        "ax = sns.barplot(x='batsman_runs', y='batsman', data=top_10_batsmen, palette='magma')\n",
        "plt.title('Top 10 Batsmen by Runs Scored', fontsize=14)\n",
        "plt.xlabel('Total Runs Scored')\n",
        "plt.ylabel('Batsman')\n",
        "\n",
        "# Adding data labels outside the bars\n",
        "for p in ax.patches:\n",
        "    width = p.get_width()\n",
        "    plt.text(width + 50, p.get_y() + p.get_height() / 2., int(width), ha='center', va='center')\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 565
        },
        "id": "seFPzBmLrLgy",
        "outputId": "857a7ad4-1cae-4f14-9692-2130e0ef2d89"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculating the top players by number of 6s\n",
        "top_10_sixes = ipl_data[ipl_data['batsman_runs'] == 6]['batsman'].value_counts().head(10).reset_index()\n",
        "top_10_sixes.columns = ['Batsman', 'Number of 6s']\n",
        "\n",
        "# Plotting the horizontal bar graph\n",
        "plt.figure(figsize=(12, 6))\n",
        "ax = sns.barplot(x='Number of 6s', y='Batsman', data=top_10_sixes, palette='coolwarm')\n",
        "plt.title('Top Players by Number of 6s', fontsize=14)\n",
        "plt.xlabel('Number of 6s')\n",
        "plt.ylabel('Batsman')\n",
        "\n",
        "# Adding data labels outside the bars\n",
        "for p in ax.patches:\n",
        "    width = p.get_width()\n",
        "    plt.text(width + 3, p.get_y() + p.get_height() / 2., int(width), ha='center', va='center')\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 565
        },
        "id": "CNOKYUdbu3Fg",
        "outputId": "a411553d-9c62-4b2b-f8ec-b16975defe2d"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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NmzYaP3681b5169Yle8tKtmzZ1LRpUy1dulTHjh1TdHS0Tp06pbZt2ypr1qyWdg++Llu2bIqeEPFvD/sj1sXFRUFBQQoKCtI///yjX3/9VeHh4Vq1apWuXr2qL774IkX9P2y8Htwa8N/xat++vVauXKlly5bp/fff14oVK5QtW7an/kO0T58+WrFihWbNmqUWLVok2+bBe2EymZLse5KA62k87v3Knj27pP9730aOHKnOnTunuP8nCS3+fZ4H5/+vR/139yQe/Pf54Pr+68H22NhY5ciRQ9L9QGPGjBmKj4/XkSNHtH37di1evFiDBg1S/vz59fLLLz9VTQDgqFjjAgCAVCpZsqQyZcqkQ4cOJfkUWZJlfYjkpub/9ttvSbbt379fCQkJKlOmTNoXm4xz585JUrK3lCRX3wPt27eXJC1btszyWNP/zj7Ili2bSpUqpdOnT+vWrVtpVbJFgQIF1KRJE82bN0+enp7auXOn1WNYH+XSpUu6cOFCku0Prvm/77+fn5+MRqO+++477dixQ2fOnFHTpk2TvT3oSeTKlUu9evXS1atXtWDBgmTb5MyZU9L9J1b817Fjx57q/Cm1b98+JSYmWm1LTEzUvn375OTkZFnX5MHTQvbv3/9M68mWLZuKFSums2fPJvu+PPjv7t/rraTGg6fUJHc7U3x8vM6ePassWbIkO9PH1dVVfn5+GjBggEaMGCGz2fzIWSgAgEcjuAAAIJXc3Nz02muv6fr165ozZ47Vvu3bt2vHjh3y9PRM8uhQSfryyy91+fJly+u4uDhNmzZN0v3HN6aHwoULS5L27t1rtT0iIsKy+GRyypQpo3Llyum7777Txo0bZTQak12XokuXLoqJidH777+f7C0h586d0/nz51NUa1xcXLKLnEZHRys6OlouLi5J1mF4GJPJpE8++cSyhoEkHT9+XKtXr1aePHlUs2bNJMe0a9dON27c0LBhwySlblHO5HTt2lUFChTQ/Pnzk51BUa5cOUn31xH5d3iwf/9+fffdd2lSw+OcOXNGy5Yts9q2bNkynTlzRrVq1bL84e7r66vy5ctr3bp1Wr9+fZJ+EhMTFRERkSY1tWjRQvHx8ZoyZUqScVy5cqWyZ89utQBpahQvXlyBgYH6+++/k/z38Pnnn+vWrVuqV6+eZX2Sw4cPJ3t7yoOZIZkyZXqqegDAkXGrCAAAT2HIkCH69ddfNXv2bO3fv1/ly5fXhQsXtHHjRrm7u2vChAnJ/kFdvnx5NW/eXI0aNZK7u7t++ukn/fXXX6pfv75lYchnrXbt2ipSpIjmzZunP/74Qy+99JL++usvbd26VfXq1dOmTZseemz79u01YsQISQ//I759+/Y6ePCgVq5cqX379qlatWrKnz+/oqKidPr0aR08eFBTpkxR0aJFH1trbGysOnTooBIlSsjHx0eFChVSdHS0tm7dqsjISPXs2VNubm4pum6j0ah9+/apdevWqlatmq5du6YNGzbIZDLpww8/THaxz+bNm+vjjz/WlStXVLZs2TSbFZM5c2b1799f77//vu7evZtkv5+fnypUqKDdu3erXbt2qlixoi5evKgffvhBtWvX1ubNm9OkjkcJDAzUuHHjtG3bNr300kv6448/9NNPPyl37tyW74EHpkyZom7dumnQoEFatGiRypQpo8yZM+vixYs6cOCArl27luo1Wf6tV69e2rZtm1avXq1Tp06patWqioqKshrHp71VRJJGjx6t9u3b6/3339eWLVtUsmRJHT16VLt371aRIkX03nvvWdquXr1aS5cuVaVKlVSsWDFly5ZNf/75p7Zv365cuXKpVatWT10PADgqggsAAJ5Cnjx5tGzZMs2aNUs//vij9u7dq2zZsqlu3bp66623rJ6e8G8jRozQhg0bFBYWposXLyp//vzq37+/evfunW61Z82aVYsWLdLkyZP166+/KiIiQi+++KI+/vhj5c2b95HBxWuvvaaxY8fK2dlZzZo1S7aNk5OTQkJC9Morr2j58uXaunWroqOjlSdPHnl6emro0KGqWrVqimp1d3fX4MGDtXv3bv3222+KiopSzpw59cILL+idd96xWhj0cXLmzKnPP//csshoTEyMypQpo/79+6t69erJHpMtWzbVq1dPa9asSbPZFg+0atVKCxYs0KlTp5LdP2vWLIWEhGjr1q06efKkvL299dlnn+nKlSvpElz4+fmpb9++mj59uhYvXixnZ2fVq1dPQ4YMSfLEjGLFimnlypVasGCBfvjhB4WHh8vZ2Vn58+dXxYoV1bBhwzSpKVOmTFq0aJHmzp2r9evXa+HChXJ3d1elSpX0xhtvJPvUntQoXry4VqxYoRkzZujnn3/WL7/8onz58qlTp0568803rdajadKkie7du6f9+/fr999/V1xcnAoWLKgOHTooKCjIMsMJAPDknMz/nl8HAACeqeDgYK1cuVI//PBDimYa2KtDhw6pTZs2at68uT766CNbl5MumjZtqvPnz+vnn39Ok0/zAQBAyrDGBQAAeGIPnuDx4JGoz7tt27bp5MmTatq0KaEFAADpjFtFAABAily8eFFr167VH3/8oQ0bNigwMFD+/v62LuuZ+uabb3T58mUtX75cmTJlUq9evWxdEgAADofgAgAApMi5c+c0ZcoUZcmSRbVr19aHH35o65KeuXnz5uny5ct64YUXNGHChCRrOgAAgGePNS4AAAAAAIDdYo0LAAAAAABgtwguAAAAAACA3WKNC0iSEhMTlZCQIGdnZzk5Odm6HAAAAADAc85sNisxMVEuLi5ydn74vAqCC0iSEhISdOjQIVuXAQAAAABwMOXKlZObm9tD9xNcQJIs6VaZMmUe+Q2D54/JZNKhQ4dUrlw5GQwGW5eDdMK4Oy7G3nEx9o6LsXdcjL3jyihj/6DOR822kAgu8P89uD3EYDDY9Tc2nh3G3jEx7o6LsXdcjL3jYuwdF2PvuDLK2D9uuQIW5wQgd3d3W5cAG2DcHRdj77gYe8fF2Dsuxh7PA2ZcwEpGSOOQtgwGg8qUKWPrMpDOGHfHxdg7LsbecTH2jouxdzyJiWY5Oz9/D1sguICVxavO6uKVOFuXAQAAAAB4AgU9MqtnG09bl/FMEFzAyj9X7+ncpVhblwEAAAAAgCTWuAAAAAAAAHaM4AIAAAAAANgtggsAAAAAAGC3CC4AAAAAAIDdIrgAAAAAAAB2i+ACAAAAAADYLYILAAAAAABgtwguAAAAAACA3SK4AAAAAAAAdovgAgAAAAAA2C2CCwAAAAAAMqDzf36vPRuHaNuK7vpmVju1a9dO27ZtS9LObDbr9ddfl9Fo1JYtW6z27dq1S+3bt5e/v7+qV6+uyZMnKyEhIb0uIUVcbF0AnlxwcLBu3bqlWbNm2boUAAAAAICNZHbPq1K+HZUle0EV9Mikgu4H9eabbyosLMyq3aJFi+Tk5JTk+OPHj6tXr17q06ePJk2apH/++UejR49WYmKihg4dml6X8VgOM+MiMjJSH374oerWrSsfHx/VrFlTffr00a5duyxt6tSpo4ULFyY5NjQ0VM2bN3/sOTZt2qSuXbuqUqVK8vX1VYMGDTRs2DAdPXo0LS8FAAAAAADlK/Ky8hX2V5bshZQzdxENGjRIWbJk0e+//25pc+zYMc2fP18TJkxIcvz69etlNBr11ltvydPTU5UrV9aQIUP09ddf686dO+l5KY/kEMHF+fPn1apVK+3evVvvvfeevvvuO82bN08BAQEaO3Zsmpxj8uTJGjRokEqXLq3Zs2dr48aNmjJliooVK6YpU6akyTkAAAAAAEhOYqJJ69atU3R0tMqXLy9JiomJ0bvvvqtRo0bJw8MjyTFxcXHKlCmT1bbMmTPr3r17OnLkSLrUnRIOcavI2LFj5eTkpOXLlytLliyW7S+99JJat2791P0fOHBA8+bN04gRI9S1a1fL9sKFC8vHx0dms9my7ezZs5o4caIOHjyomJgYlSxZUu+++66qVasmSZo5c6Y2btyotWvXWp2jefPmql27tgYOHJjk/ImJiZo7d66WLl2qq1evqkSJEurXr58aNmz41NcGAAAAALBfd26c1d4f3leiKV6rsmXVp59+qhdffFEHDhxQSEiI/P39Va9evWSPDQwM1KJFi7R27Vo1atRIV69e1aeffirp/l0L9uK5n3Fx48YN/fzzz+rUqZNVaPFAjhw5nvoca9euVZYsWdSxY8dk9//7XqLo6GjVrFlTCxcu1MqVK1WjRg316dNHFy9elCS1adNGp06dsprac/ToUZ04ceKhIcucOXO0atUqjR07VuvWrVP37t01ZMgQRUREPPW1AQAAAADsV5bshVWp/kd6rf3H6tChg4YOHao///xTe/fu1Z49ezR8+PCHHhsYGKj33ntPo0ePVrly5dSgQQPVrFlTkuTsbD9xwXM/4+Ls2bMym80qWbJkitp//PHHmj59utW2+Ph4lSpV6qHHnDlzRsWKFZOLy/+9nQsWLNCMGTMsr7dv367s2bPL29tb3t7elu0DBw7Uli1b9OOPP6pz584qWLCgAgMDFR4eLl9fX0lSeHi4KlWqpGLFiiU5d1xcnObMmaMFCxbI399fklSsWDHt3btXS5cuVeXKlVN03QAAAACAjMfZ4KIs2QsqbwF3vdv3NR06dEiLFy/W7du3de7cOVWqVMmqff/+/VWxYkUtXrxYktSjRw91795dV65cUc6cOXXhwgVNmTJFRYsWtcXlJOu5Dy7+fZtGSgQFBalVq1ZW2xYvXqxff/31ifpp3bq16tSpo4MHD2rIkCGWOu7evauZM2dq69atioyMlMlkUmxsrGXGhST973//0/DhwzVs2DA5OTnpu+++07Bhw5I9z99//62YmBj17NnTant8fLxKly79RDUDAAAAADK2xMRExcfHq1mzZurbt6/VzImmTZtq2LBhql27ttUxTk5OKlCggKT7dxQUKlRIZcuWTde6H+W5Dy48PT3l5OSk06dPp6h97ty55enpabUtZ86cjzymRIkS2rt3r+Lj4+Xq6irp/i0oOXLk0OXLl63aTpo0STt37tTQoUNVvHhxZc6cWQMGDFB8fLylTe3ateXm5qbNmzfL1dVVCQkJD12vIjo6WtL920UefKM94ObmlqJrBgAAAABkPKd+/0Z5Cvopc9Z8un7VrClT1ioiIkJz585VlixZ9NJLL8lgMFgdU7hwYavZ/PPmzVONGjXk7Oys77//XnPnztW0adOSHGdLz31wkStXLgUGBurrr79Wly5dkqxzcevWrade5+K1117T4sWL9c0336hbt26PbLt//361bNlSr776qqT7MzAuXLhg1cbFxUUtWrRQeHi4XF1d9dprrylz5szJ9leqVCm5ubnp4sWL3BYCAAAAAA4kLvaWju2ZpXux15UpU1b5+5XRF198oSpVqujAgQMp6mP79u367LPPFBcXJ29vb3366aeWdS7sxXMfXEjS6NGj1aFDB7Vt21YDBgyQ0WiUyWTSL7/8om+//VYbNmx4qv79/f3Vs2dPTZo0SRcvXtSrr76qQoUKKTIyUmFhYXJycrJMz/H09NTmzZtVp04dOTk5adq0aUpMTEzSZ9u2bdW4cWNJ0rfffvvQc2fLlk09e/bUxIkTZTab9fLLL+v27dvat2+fsmXLppYtWz7VtQEAAAAA7FPpyn0sXxcr5K7hfY2SJJPJlGz7EydOJNn25ZdfPpvi0pBDBBfFihVTeHi4PvvsM02aNElXrlxRnjx5VLZsWY0ZMyZNzjF06FCVK1dO3377rVasWKHY2FjlzZtXFStW1NKlS5UtWzZJUnBwsIYPH6727dsrd+7c6tWrl+7evZukvxIlSsjf3183b960PIP3YQYOHKg8efJozpw5On/+vLJnz64yZcqoT58+jzwOAAAAAAB752R+0tUrkS7MZrPq16+vjh07qkePHs/8fCaTSQcOHNCW37LqzIXYZ34+AAAAAEDa+e+MiwMHDsjPz8+u1qr4r5TW6RAzLjKaa9euad26dbp69WqSJ5wAAAAAAOBICC7sUNWqVZU7d2598MEHj32iCQAAAAAAzzOCCzuU3IIpAAAAAAA4ImdbFwAAAAAAAPAwBBcAAAAAAMBuEVwAAAAAAAC7RXABAAAAAADsFsEFAAAAAACwWwQXAAAAAADAbhFcAAAAAAAAu+Vi6wJgXwrkyyRTopOtywAAAAAAPIGCHpltXcIzQ3ABK11aFJfBYLB1GQAAAACAJ5SYaJaz8/P3QTS3isCKyWSydQlIZyaTSUePHmXsHQzj7rgYe8fF2Dsuxt5xMfaO53kMLSSCCwCSYmJibF0CbIBxd1yMveNi7B0XY++4GHs8DwguAAAAAACA3SK4AAAAAAAAdovgAgAAAAAA2C2CCwAAAAAAYLcILgAAAAAAgN0iuAAAAAAAAHaL4AKA3N3dbV0CbIBxd1yMveNi7AEAGZGLrQuAfTEYDLYuAenMYDCoTJkyti4D6Yxxd1yMveNi7NNHYqJZzs5Oti4DAJ4rBBewsu6XG4q8kWjrMgAAADKcfLlc1PyV3LYuAwCeOwQXsBJ1M0H/XDPZugwAAAAAACSxxgUAAAAAALBjBBcAAAAAAMBuEVwAAAAAAAC7RXABAAAAAADsFsEFAAAAAACwWwQXAAAAAADAbhFcAAAAAAAAu0VwAQAAAAAA7BbBBQAAAAAAsFsEFwAAAAAAwG45VHCxZ88eGY1G3bp1K13PEx4erooVK1r2h4aGqnnz5pbXwcHB6tev3zOtCQAAAGnv0M6vtXZBH309pbFmjmmifv366fTp01ZtRo0apXr16snX11dVqlRR3759derUKas2RqMxyb9169al56UAgN1ysXUBkrR//3517NhRNWrU0Oeff2617/z586pbt67ltaurqwoVKqSWLVuqb9++cnJySrc658+fr9mzZ2vHjh3KlCmT1b6YmBhVr15dAwcOVPv27bVjxw5lz549Rf2OGDFCZrP5WZQMAACAZ+jy2YPyfrmF8hYyKk92J/21b6GCgoK0bt06ZcmSRZJUtmxZNW3aVIUKFdLNmzcVGhqqoKAg/fDDDzIYDJa+Jk6cqBo1alhe58iRI92vBwDskV3MuAgLC1Pnzp3166+/6p9//km2zcKFC7Vjxw5t2rRJ/fv312effaawsLB0rbN58+aKiYnR999/n2Tfpk2bFB8fr2bNmsnNzU0eHh4pDlWyZ8/+VD+YzGazEhISUn08AAAAUufV9h/pRd+Gyu3xgvIXfkkhISG6ePGijhw5YmnTrl07VapUSUWLFlXZsmU1cOBAXbp0SRcuXLDqK0eOHPLw8LD8++8HZQDgqGweXNy9e1fr169Xhw4dVKtWLa1cuTLZdrly5ZKHh4eKFCmiZs2aqUKFCjp69Ogj+962bZsaNGggX19fdenSJckPB0n67bff1LFjR/n6+qpmzZoaN26coqOjk+0vb968ql27tlasWJFk34oVK1SvXj3lypXriW9J+e+tIomJiZozZ47q1KkjX19fNWvWTBs3brTsf9D/tm3b1KpVK5UrV0579+7V8ePH1aVLF/n7+6tChQpq1aqVDh06lKIaAAAA8PRu374tScqZM2ey+6OjoxUeHq6iRYuqYMGCVvvGjh2rgIAAtWnTRmFhYczIBYD/z+bBxYYNG1SyZEmVLFlSzZo104oVKx77P+lDhw7pyJEjKl++/EPbXLp0SW+99ZZq166tVatWqW3btpoyZYpVm7Nnz6pXr16qX7++1qxZo6lTp2rv3r368MMPH9pvmzZttHv3bqsQ5Ny5c/r111/Vpk2bFF71o82ZM0erVq3S2LFjtW7dOnXv3l1DhgxRRESEVbspU6bo3Xff1fr162U0GjV48GAVLFhQYWFhCg8PV69eveTq6pomNQEAAODRzImJmjBhgipUqCAvLy+rfV9//bX8/f3l7++v7du3a8GCBXJzc7PsHzBggKZNm6YFCxaofv36Gjt2rBYvXpzelwAAdsnma1yEhYWpWbNmkqQaNWro9u3bioiIUEBAgFW79u3by9nZWfHx8YqPj1e7du3UokWLh/b77bffqnjx4goODpYklSxZUidPntTcuXMtbebMmaOmTZuqe/fukqQSJUpoxIgR6tKli8aMGZPs9LzAwEDlz59f4eHh6t+/v6T7i28WKlRIVatWfZq3QpIUFxenOXPmaMGCBfL395ckFStWTHv37tXSpUtVuXJlS9sBAwaoevXqltcXL15UUFCQSpUqZbkeAAAApI/NKz9R5Lk/9M033yTZ16xZM1WvXl2RkZH64osvNHDgQH377beW3zfffPNNS9syZcooJiZGX3zxhbp27Zpu9QOAvbJpcHH69GkdOnRIn3766f1iXFzUuHFjhYWFJQkupk6dqlKlSikhIUEnT57UuHHjlCNHDg0ePDjZvk+dOiVfX1+rbX5+flavjx8/rhMnTui7776zbDObzUpMTNT58+ctAcC/GQwGtWzZUitXrtRbb70ls9msVatWqVWrVnJ2fvoJLH///bdiYmLUs2dPq+3x8fEqXbq01bZy5cpZve7Ro4fef/99rV69WtWqVVPDhg1VvHjxp64JAAAAj7Z703RdPLVTK1d8k+QWEOn+mmbZs2dXiRIlVL58eVWuXFmbN29WkyZNku2vfPnymjVrluLi4qxmZgCAI7JpcBEWFqaEhASr1ZPNZrPc3Nw0atQoq6dyFCpUSJ6enpKkUqVK6dy5c5o+fbr69++f6oWLoqOj1b59e3Xp0iXJvkKFCj30uNatW2vOnDnavXu3EhMTdenSJbVq1SpVNSRXk3R/NkiBAgWs9v33h5a7u7vV6/79+6tJkybatm2btm/frhkzZmjq1Kl69dVX06Q2AAAAWDObzdrz/QydPblDnfqFqlixYik+Li4u7qH7jx07ppw5cxJaAIBsGFwkJCRo9erVCg4OtrrdQbo/VW7t2rXq0KHDQ493dnZWQkKC4uPjkw0uSpUqpR9//NFq28GDB61elylTRn/++aclEEmp4sWLq1KlSpanmlSrVk1FihR5oj4eplSpUnJzc9PFixetbgtJqRdeeEEvvPCCunfvrnfeeUcrVqwguAAAAHhG9myaptNHf1CdNuPklimLIiMjJd2fYZE5c2adO3dO69evV/Xq1ZUnTx5dvnxZn3/+uTJnzqyaNWtKkn788UdFRUWpfPnyypQpk3755RfNmTMnyQxcAHBUNgsutm7dqps3b6pNmzZWMyskqX79+goLC7MKLm7cuKHIyEiZTCadOHFCX375pQICApQtW7Zk+2/fvr3mz5+vSZMmqW3btjpy5EiSJ5b06tVL7dq10wcffKC2bdvK3d1df/75p3bu3KlRo0Y9sv42bdpo5MiRkqSQkJDUvAXJypYtm3r27KmJEyfKbDbr5Zdf1u3bt7Vv3z5ly5ZNLVu2TPa42NhYffTRR2rQoIGKFi2qy5cv69ChQ6pfv36a1QYAAABrJ/avkSRt+nqQJGnW/1/jfeLEiWrVqpXc3Nz022+/adGiRbp165by5s2rihUr6ttvv1XevHkl3b9d+uuvv9aECRMkybJO2//+97/0vyAAsEM2Cy7CwsJUrVq1JKGFJDVo0EDz5s3T8ePHLcHEgwU0DQaDPDw8VLNmTQ0aNOih/RcuXFihoaGaOHGivvrqK/n6+mrQoEEaPny4pY23t7cWL16sadOmqWPHjpLuL4TZuHHjx9bfoEEDffjhhzIYDKpXr96TXPpjDRw4UHny5NGcOXN0/vx5Zc+eXWXKlFGfPn0eeoyzs7Nu3LihoUOH6urVq8qdO7fq16+vAQMGpGltAAAA+D/dhv1k+bpAHlcFNfOw2l+gQAGrxeGT88orr+iVV155JvUBwPPAycwDoiHJZDLpwIED+v1iUV2KMtm6HAAAgAwnueDCHjz4Pc/Pz08Gg8HW5SAdMfaOK6OMfUrrfPrHYAAAAAAAADwjBBcAAAAAAMBuEVwAAAAAAAC7RXABAAA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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculating the top players by number of 4s\n",
        "top_10_fours = ipl_data[ipl_data['batsman_runs'] == 4]['batsman'].value_counts().head(10).reset_index()\n",
        "top_10_fours.columns = ['Batsman', 'Number of 4s']\n",
        "\n",
        "# Plotting the horizontal bar graph\n",
        "plt.figure(figsize=(12, 6))\n",
        "ax = sns.barplot(x='Number of 4s', y='Batsman', data=top_10_fours, palette='cubehelix')\n",
        "plt.title('Top Players by Number of 4s', fontsize=14)\n",
        "plt.xlabel('Number of 4s')\n",
        "plt.ylabel('Batsman')\n",
        "\n",
        "# Adding data labels outside the bars\n",
        "for p in ax.patches:\n",
        "    width = p.get_width()\n",
        "    plt.text(width + 3, p.get_y() + p.get_height() / 2., int(width), ha='center', va='center')\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "id": "YwCc-21DvHqg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculating the number of extras per bowling team\n",
        "extras_per_team = ipl_data[ipl_data['extra_runs'] > 0]['bowling_team'].value_counts().reset_index()\n",
        "extras_per_team.columns = ['Bowling Team', 'Number of Extras']\n",
        "\n",
        "# Plotting the horizontal bar graph\n",
        "plt.figure(figsize=(12, 8))\n",
        "ax = sns.barplot(x='Number of Extras', y='Bowling Team', data=extras_per_team, palette='Blues_r')\n",
        "plt.title('Number of Extras Conceded by Each Team', fontsize=14)\n",
        "plt.xlabel('Number of Extras')\n",
        "plt.ylabel('Bowling Team')\n",
        "\n",
        "# Adding data labels outside the bars\n",
        "for p in ax.patches:\n",
        "    width = p.get_width()\n",
        "    plt.text(width + 5, p.get_y() + p.get_height() / 2., int(width), ha='center', va='center')\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 678
        },
        "id": "k4MS693nvIZI",
        "outputId": "0b913765-0378-4d56-b650-8e4a2a3f624e"
      },
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Filtering the data to include only rows with dismissals\n",
        "dismissals_data = ipl_data[ipl_data['dismissal_kind'].notnull()]\n",
        "\n",
        "# Plotting the distribution of dismissal kinds\n",
        "plt.figure(figsize=(12, 6))\n",
        "sns.countplot(data=dismissals_data, y='dismissal_kind', order=dismissals_data['dismissal_kind'].value_counts().index, palette='coolwarm')\n",
        "plt.title('Distribution of Dismissal Kinds', fontsize=14)\n",
        "plt.xlabel('Frequency')\n",
        "plt.ylabel('Dismissal Kind')\n",
        "\n",
        "# Adding data labels\n",
        "ax = plt.gca()\n",
        "for p in ax.patches:\n",
        "    width = p.get_width()\n",
        "    plt.text(width + 50, p.get_y() + p.get_height() / 2., int(width), ha='center', va='center')\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 556
        },
        "id": "6-bZ13SH3Ehq",
        "outputId": "7403bf9d-2a07-42eb-cedd-708fcefafc0d"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculating the top 10 bowlers by total wickets taken (excluding run outs)\n",
        "top_10_bowlers_wickets = ipl_data[ipl_data['dismissal_kind'].notnull() & (ipl_data['dismissal_kind'] != 'run out')]\n",
        "top_10_bowlers_wickets = top_10_bowlers_wickets['bowler'].value_counts().head(10).reset_index()\n",
        "top_10_bowlers_wickets.columns = ['Bowler', 'Total Wickets']\n",
        "\n",
        "# Plotting the horizontal bar graph\n",
        "plt.figure(figsize=(12, 6))\n",
        "ax = sns.barplot(x='Total Wickets', y='Bowler', data=top_10_bowlers_wickets, palette='viridis')\n",
        "plt.title('Top 10 Bowlers by Total Wickets Taken', fontsize=14)\n",
        "plt.xlabel('Total Wickets Taken')\n",
        "plt.ylabel('Bowler')\n",
        "\n",
        "# Adding data labels outside the bars\n",
        "for p in ax.patches:\n",
        "    width = p.get_width()\n",
        "    plt.text(width + 2, p.get_y() + p.get_height() / 2., int(width), ha='center', va='center')\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 565
        },
        "id": "jHYFTW_F3GHo",
        "outputId": "59608ec0-f45a-4598-898d-caacd12e9552"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Filtering data for fast bowlers\n",
        "fast_bowlers_data = ipl_data[(ipl_data['dismissal_kind'].notnull()) & (ipl_data['Bowler master category'] == 'Fast')]\n",
        "top_10_fast_bowlers = fast_bowlers_data['bowler'].value_counts().head(10).reset_index()\n",
        "top_10_fast_bowlers.columns = ['Bowler', 'Total Wickets']\n",
        "\n",
        "# Plotting the horizontal bar graph for fast bowlers\n",
        "plt.figure(figsize=(12, 6))\n",
        "ax = sns.barplot(x='Total Wickets', y='Bowler', data=top_10_fast_bowlers, palette='Reds_r')\n",
        "plt.title('Top 10 Fast Bowlers by Total Wickets Taken', fontsize=14)\n",
        "plt.xlabel('Total Wickets Taken')\n",
        "plt.ylabel('Bowler')\n",
        "\n",
        "# Adding data labels outside the bars\n",
        "for p in ax.patches:\n",
        "    width = p.get_width()\n",
        "    plt.text(width + 1, p.get_y() + p.get_height() / 2., int(width), ha='center', va='center')\n",
        "\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 565
        },
        "id": "6f8TuGuA8AR9",
        "outputId": "6f7cb312-3911-4889-b37d-939a0c3523ef"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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          "metadata": {}
        }
      ]
    }
  ]
}