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Creating responsive data visualisations

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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.

AI-written summary · about

  1. 0:00Introduction and background
  2. 3:40Session overview
  3. 7:40Philosophy of responsive data
  4. 16:49Ten tips for responsive design
  5. 37:56Essential tools for the trade
  6. 40:38Q&A session
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