📂 Repository Structure powerbi-cricket-analysis/ ├── data/ # Raw cricket datasets (CSV/Excel/JSON) │ └── matches_data.csv ├── powerbi/ # Power BI-specific files and assets │ ├── cricket_dashboard.pbix # Main Power BI dashboard file │ ├── visuals/ # Exported PNG/SVGs of visuals │ ├── measures.md # DAX measures used │ └── queries/ # Power Query M code snippets ├── reports/ # Report exports and descriptions │ ├── overview_report.pdf │ └── player_performance.pdf ├── exports/ # Optional: CSV exports from Power BI │ ├── team_wins.csv │ └── top_players.csv ├── documentation/ # Project documentation and notes │ ├── README.md │ └── analysis_plan.md ├── LICENSE └── .gitignore

🏏 Power BI Cricket Analytics Dashboard

This repository hosts a Power BI-based analysis of cricket match data. The goal is to visualize trends, performance metrics, and match outcomes through an interactive dashboard.

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📁 Structure

• data/: Contains cleaned datasets used in Power BI
• powerbi/: Main .pbix dashboard, DAX measures, Power Query scripts
• reports/: PDF reports exported from Power BI
• exports/: Data tables exported from Power BI visuals
• documentation/: Analysis plan and README

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📊 Dashboard Highlights

Key features of the dashboard include:

• Team vs. Team Win Comparison
• Venue-wise Performance Analysis
• Toss Effect on Match Results
• Top Players (Batting & Bowling) by Performance
• Timeline-based Win Trends

📌 See the .pbix file in /powerbi/ to open and explore the full interactive report.

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⚙️ Requirements

• Power BI Desktop (latest version)
• Source Dataset: CSV files located in /data/

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🚀 Getting Started

1. Download or clone the repo
2. Open powerbi/cricket_dashboard.pbix in Power BI Desktop
3. Make sure the data source path is updated if you move the dataset
4. Refresh the dataset to load the latest data

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📄 Documentation

• See documentation/analysis_plan.md for analysis strategy
• DAX Measures used are documented in powerbi/measures.md
• Power Query M transformations can be found in powerbi/queries/

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🤝 Contributing

Pull requests are welcome. For any major changes, please open an issue first to discuss improvements or feature requests.