agentsociety-analysis

You can analyze AgentSociety simulation data by loading the context first, then performing interactive data exploration, generating claim-driven charts, and creating bilingual reports to synthesize findings across multiple experiments.

Synthesize findings across multiple AgentSociety experiments by recording claims during interactive data exploration, then automatically generating claim-driven charts and bilingual reports to summarize the results.

Yes, the simulation analysis workflow requires Python and the agentsociety2 library installed, as these dependencies provide the necessary functions for data manipulation, interactive exploration, and visualization.

Yes, the framework supports bilingual report creation, allowing you to generate detailed simulation analysis reports in both English and Chinese to enhance accessibility for diverse audiences.

Claim-driven chart generation works by linking recorded analytical claims to simulation data, automatically producing targeted visualizations that validate hypotheses during interactive data exploration.