Creating responsive data visualisations
summary
Ten concrete methods for making visualizations work across screens, from design for the phone first to choosing static images over costly animation; claims include cutting interactivity when it doesn’t add meaning, using scrolling as the primary interaction, and editing ruthlessly for mobile. Tools named: d3 + react, ai2html and pym. Examples: a globe-to-map swap for pollution maps, a coronavirus tracker rebuilt for phones, small multiples turned into single-column flows, handling 8,000 candidate photos, and projects ranging from same-day graphics to 2–3 month dashboards.
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chapters (6)
- 0:00Introduction and background
- 3:40Session overview
- 7:40Philosophy of responsive data
- 16:49Ten tips for responsive design
- 37:56Essential tools for the trade
- 40:38Q&A session








