IPL Power BI Dashboard

Overview

This project aims to create an interactive dashboard using Power BI for analyzing data related to the Indian Premier League (IPL), a professional Twenty20 cricket league in India. The dashboard provides insights into various aspects of IPL matches, players, teams, and performances over different seasons.

Dataset

The dataset used for this dashboard is sourced from [source_link_here]. It includes detailed information about IPL matches, players, teams, match outcomes, player performances, etc. The dataset is available in CSV format and is updated regularly to include the latest IPL data.

Files Included

  • ipl_data.pbix: Power BI file containing the dashboard design and data connections.
  • ipl_data.csv: The dataset used for analysis in CSV format.
  • README.md: This file providing an overview of the project.

Dashboard Features

The Power BI dashboard includes the following features:

  1. Overview: Provides a summary of IPL matches, teams, players, and key statistics.
  2. Match Analysis: Allows users to explore match results, venues, and key performance indicators.
  3. Team Performance: Visualizes team-wise performance across seasons, win-loss records, and top performers.
  4. Player Analysis: Enables analysis of player statistics, including batting averages, bowling strike rates, etc.
  5. Interactive Filters: Users can filter data by season, team, player, venue, etc., to customize their analysis.

How to Use

  1. Download the repository to your local machine.
  2. Install Power BI Desktop if you haven't already.
  3. Open the ipl_data.pbix file using Power BI Desktop.
  4. Power BI will automatically connect to the dataset provided in the CSV file.
  5. Explore the dashboard tabs and interact with different visualizations.
  6. Use slicers and filters to customize the analysis based on your preferences.
  7. Save and publish the dashboard to Power BI Service for sharing with others (optional).

Contribution

Contributions to this project are welcome! If you find any issues, have suggestions for improvements, or want to add new features to the dashboard, feel free to create a pull request.

License

The dataset used for analysis might have specific licensing terms. Refer to the original source for details. The dashboard design and documentation in this repository are provided under the MIT License.