Data, Design, Code with Shirley Wu
summary
Shows how a Hamilton lyrics dataset is built by manual transcription of every line, how 4,000 travel photos yield 20,000 color swatches and how a Guardian US investigation supplies 20,000 homeless relocation records including ~10,000 San Francisco bus tickets. Describes concrete visualizations (arc flights, flower glyphs), the live‑coded area chart over 98 movies with a brushing filter that drops to ~45, and the technical stack: d3 modules for scales and shapes combined with view and GreenSock for fewer lines of code and smooth animation.
AI-written summary · about
chapters (6)
- 0:00Introduction to Data Vis
- 2:01Data gathering and insights
- 6:18Design and exploration
- 11:18Metaphor and engagement
- 17:25Web data visualization
- 23:48Live coding with D3 and Vue
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