domains / families / data / interactive-visualization

interactive-visualization

separate

Build interactive HTML/web visualizations with plotly (Python/R), bokeh (Python), and gganimate/plotly frames for animation, with awareness of current Kaleido static-export model (post-orca-EOL), HTML file-size bloat, and the limits of interactive-only output for journal submission. Use when producing zoomable/hoverable plots for notebook EDA, supplementary HTML, dashboards, or animated time-course / iteration visualizations.

When to use

• producing zoomable/hoverable plots for notebook EDA
• supplementary HTML
• dashboards
• animated time-course visualizations
• iteration visualizations
• interactive HTML plot with zoom, pan, and hover-tooltip behavior
• exporting static PDF for journal figures
• server-side streaming visualizations

When not to use

• replacing static figures needed for journal submission
• generating EPS exports
• using Orca for static export

Skill page

Source