Art.js: Transfigure Data to Create 21st Century Art
summary
Claims that data-as-art communicates experience not just facts and shows how to make it with concrete tools: JavaScript, d3,js, Mapbox/Leaflet and Node. Examples include First Chapters (sentence-length visuals), taxi replay using Mapbox/Leaflet and Node that yields believable driver stories, Laurie Frick’s Nightly Sleep Analyzed and Quantified Breakup as personal datasets, Patatap and a patent generator for playful translation. Process notes include sketching, imperfect CSV data, iterative testing, and several successful web builds.
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chapters (9)
- 0:00Introduction to data art
- 2:12Data art vs. visualization
- 6:41Motivations for making art
- 12:04Risks and rewards
- 14:28The literary approach
- 22:44Language as data
- 26:55Getting started
- 29:16The creative process
- 33:14Q&A and conclusion
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