Version Compatibility

Reference examples tested with: plotly 5.24+, plotly R 4.10+, bokeh 3.4+, kaleido 1.0+ (note: v1 dropped bundled Chrome), gganimate 1.0.9+, altair 5.4+, htmlwidgets 1.6+.

Before using code patterns, verify installed versions match. If versions differ:

• Python: pip show <package> then help(module.function)
• R: packageVersion('<pkg>') then ?function_name

If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.

Interactive Visualization

"Build an interactive plot" -> Render a zoomable, hoverable, panable HTML/web visualization, knowing that interactive output is a SUPPLEMENT to (not replacement for) the static figure needed for journal submission. Choose plotly for fastest onboarding and ggplot2 conversion (ggplotly); bokeh for streaming/server-side; altair for grammar-of-graphics; D3.js for full custom.

• Python: plotly.graph_objects, plotly.express, bokeh, altair
• R: plotly (via ggplotly), htmlwidgets ecosystem (leaflet, networkD3, DT)

The Single Most Important Modern Insight -- Kaleido v1 and the Static-Export Pipeline