reversa-highcharts-visualizer

Provide the CSV file and the Skill parses it with scripts/parse_data.py, which auto-detects delimiters, encodings, and Brazilian number formats. The parsed data is injected directly into a standalone HTML file configured with the appropriate Highcharts chart type.

The Skill covers over 40 types including line, area, column, bar, pie, donut, scatter, bubble, heatmap, treemap, sunburst, sankey, funnel, gauge, wordcloud, network graph, box plot, stock candlestick, maps, and gantt charts. A decision table maps each analytical goal to recommended types.

Run scripts/analyze_data.py on your data file to get statistics and ranked chart suggestions based on temporality, category count, and series structure. The SKILL.md decision table also maps goals like trends, comparisons, and composition to specific chart types.

Yes. When run by the Reversa Docs team, Highcharts core and modules load from local assets/vendor/ files pinned via vendor-pins.yaml, so pages work via file:// without internet. CDN links at version 11.4.8 serve only as fallback.

Charts with over 10,000 points need the boost module with boostThreshold set around 5000, disabled animations, and disabled markers. The Skill's error reference also recommends downsampling data through scripts/analyze_data.py for very large inputs.

Yes. Run scripts/sample_data.py with a --type flag such as line, pie, sankey, stock, or funnel to produce ready-to-use JSON datasets. This is useful for exploring chart types before real data is available.