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Description
Explore Adding Visualization Options Beyond Heatmaps
Description:
Expand the visualization capabilities of the library by exploring options beyond heatmaps. This will provide users with alternative ways to analyze and interpret chess move data, enhancing the library's utility and appeal.
Suggested Tasks:
- Identify Alternative Visualization Types:
- Explore options like bar charts, pie charts, or scatter plots to represent move frequency or performance metrics.
- Consider adding visualizations for specific scenarios, such as opening analysis or endgame patterns.
- Prototype Visualizations:
- Create prototypes for one or two alternative visualizations to gauge feasibility and user interest.
- Use libraries like
matplotlib,seaborn, orplotlyfor implementation.
- Integration:
- Ensure alternative visualizations integrate seamlessly with the existing heatmap functionality.
- Add options for users to choose their preferred visualization type.
- Documentation:
- Update the documentation with examples and usage instructions for the new visualizations.
Acceptance Criteria:
- At least one prototype for an alternative visualization is created.
- The new visualization integrates seamlessly with the library.
- Documentation is updated with examples and instructions.
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enhancementNew feature or requestNew feature or request