First off, thank you for considering contributing to this project! 🎉
If you find a bug, please create an issue with:
- Clear title and description
- Steps to reproduce
- Expected vs actual behavior
- Python version and environment details
Enhancement suggestions are tracked as GitHub issues. When creating an enhancement suggestion, please include:
- Clear and descriptive title
- Detailed explanation of the suggested enhancement
- Why this enhancement would be useful
- Examples of how it would work
- Fork the repo and create your branch from
main - If you've added code, ensure it follows the existing style
- Add comments and explanations for new analysis sections
- Update the README.md if needed
- Ensure your code runs without errors
- Create a Pull Request with a clear description
- Use type hints where appropriate
- Follow PEP 8 style guide
- Add comments for complex logic
- Keep functions focused and single-purpose
- Add markdown explanations for each analysis section
- Include clear headings with question numbers
- Show output for verification
- Keep cells focused on one task
- Use clear, concise language
- Include examples where helpful
- Update README for significant changes
- Add emojis for better readability 😊
- Add visualizations using matplotlib/seaborn
- Create comparison with other cricket teams
- Add time-series analysis if historical data available
- Implement machine learning predictions
- Create interactive dashboards
- More sophisticated statistical tests
- Correlation analysis between metrics
- Player clustering by performance
- Anomaly detection in fitness scores
- Recommendation system for team selection
- Video tutorial for the notebook
- Blog post explaining the analysis
- Translate README to other languages
- Add more detailed comments
- Create infographics of key findings
- Add unit tests
- Improve error handling
- Optimize performance
- Add input validation
- Create reusable functions
Feel free to open an issue with the question label!
Thank you for contributing! 🙌