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Multi-modal interactive data presentation for agentsociety-analysis — EDA bundle (PyGWalker, Plotly, sortable tables, eda_hub), plotly/altair claim charts, HTML tab surfaces. Use in explore, refine, and produce stages.
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# Interactive Viz (bundled support) ## When to use - User wants interactive / diverse data presentation - Stage 2 explore: run `run-eda --type bundle` - Stage 4: `presentation_mode: static_plus_interactive` - Stage 5: multi-tab §数据 with `eda_hub.html` ## Commands ```bash # Full interactive EDA pack + hub ags.py analysis run-eda --db-path DB --output-dir DIR/data --type bundle --workspace WS --hypothesis-id HID # Single modes ags.py analysis run-eda ... --type pygwalker ags.py analysis run-eda ... --type datatable ags.py analysis run-eda ... --type plotly-profile ags.py analysis run-eda ... --type eda-hub ``` ## Read order 1. `references/eda.md` 2. `references/charts.md` (optional interactive export) 3. `references/reports.md` (HTML embed) ## Python (run-code) ```python from agentsociety2.skills.analysis.chart_export import export_plotly_html, export_pygwalker_html ``` ## Report Embed `data/eda_hub.html` as primary §数据 interactive surface; per-claim plotly iframes under `.figure-block`.
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Multi-modal interactive data presentation for agentsociety-analysis — EDA bundle (PyGWalker, Plotly, sortable tables, eda_hub), plotly/altair claim charts, HTML tab surfaces. Use in explore, refine, and produce stages.
# Interactive Viz (bundled support) ## When to use - User wants interactive / diverse data presentation - Stage 2 explore: run `run-eda --type bundle` - Stage 4: `presentation_mode: static_plus_interactive` - Stage 5: multi-tab §数据 with `eda_hub.html` ## Commands ```bash # Full interactive EDA pack + hub ags.py analysis run-eda --db-path DB --output-dir DIR/data --type bundle --workspace WS --hypothesis-id HID # Single modes ags.py analysis run-eda ... --type pygwalker ags.py analysis run-eda ... --type datatable ags.py analysis run-eda ... --type plotly-profile ags.py analysis run-eda ... --type eda-hub ``` ## Read order 1. `references/eda.md` 2. `references/charts.md` (optional interactive export) 3. `references/reports.md` (HTML embed) ## Python (run-code) ```python from agentsociety2.skills.analysis.chart_export import export_plotly_html, export_pygwalker_html ``` ## Report Embed `data/eda_hub.html` as primary §数据 interactive surface; per-claim plotly iframes under `.figure-block`.