Case Study Details
Full breakdown, insights & results
Bullrun Rounds Analytics: Game Data Analysis Toolkit
The Challenge
- No easy way to analyze and visualize multi-round game data for player and card performance
- Manual analysis is slow and lacks depth
The Solution
A Python toolkit that:
- Loads and processes JSON round files
- Extracts player and card stats
- Visualizes trends and performance with plots
- Generates insights and reports
Technical Implementation
- Python/pandas: Data processing and analysis
- matplotlib/seaborn: Visualization
- numpy: Numeric operations
- Glob/OS: File management
Results
- Automated leaderboard and card analysis
- Player and strategy insights
- Visual reports and plots
Key Features
- Multi-round data loading
- Player and card analytics
- Game evolution and penalty impact
- Insight generation
Technology Stack
- Python
- pandas
- matplotlib
- seaborn
- numpy
Future Roadmap
- Web dashboard for interactive analytics
- Real-time data ingestion
- Export to PDF/HTML reports