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This project is an interactive Power BI dashboard developed to analyze Indian Premier League (IPL) match data. The dashboard provides comprehensive insights into team performance, batting statistics, bowling analysis, venue performance, and overall match trends using interactive visualizations.
- Analyze IPL match statistics.
- Compare team performances across seasons.
- Explore batting and bowling performance.
- Identify top-performing players and teams.
- Visualize venue-wise match statistics.
- Enable interactive filtering using slicers.
- Microsoft Power BI
- Power Query
- DAX
- Excel / CSV Dataset
Features
- Total Matches
- Total Runs
- Total Wickets
- Total Fours
- Total Sixes
- Team Wins
- Runs by Over
- Matches by Season
Features
- Top Run Scorers
- Highest Batting Average
- Team Strike Rate
- Extras Analysis
- Interactive Filters
Features
- Top Bowlers
- Economy vs Wickets
- Wickets by Over
- Wicket Partnerships
Features
- Matches by Venue
- Home Ground Advantage
- Venue Map
- Toss Impact
- Result Margin Analysis
- Compare team performance across multiple IPL seasons.
- Analyze batting and bowling efficiency.
- Evaluate venue-wise match outcomes.
- Understand toss impact on match results.
- Explore interactive insights using filters.
- Power BI Dashboard (.pbix)
- Dashboard Screenshots
- README Documentation
- Add player comparison dashboard.
- Include predictive analytics for match outcomes.
- Add win probability analysis.
- Create player performance trends over seasons.
Harminder Kaur
🎓 Incoming Master's Student – Medical Biotechnology
🏛️ University of Windsor
- Power BI
- DAX
- Data Analytics
- Data Visualization
- SQL
- Python
- Biotechnology