spirit-of-the-law

Hypothesis-led analysis identifies non-obvious patterns in tournament CSV data by framing testable questions and comparing empirical evidence across players, civs, maps, and matchups. It outputs formal findings and visualizations.

Run spirit_of_the_law_analysis.py on CSVs stored in the data directory to execute scenario-driven investigations. The script compares hypotheses across players and matchups, generating a formal findings report alongside derived data outputs.

Data analysis requires access to ANALYTICAL_BRIEF.md and STATS_REPORT.md to align with existing work. This ensures newly generated findings and visualizations avoid duplicating previously documented tournament insights.

Yes, hypothesis-driven analysis supports tournament matchup data stored in CSV files. It compares testable questions across civs, players, and maps, producing formal findings, derived datasets, and charts without duplicating existing reports.

Empirical data analysis generates SPIRIT_FINDINGS.md for formal results, charts in the assets/spirit directory, and derived data in the data/spirit directory. These outputs document validated hypotheses and visualizations.