data sketch|es: A Visualization a Month
summary
Data sketches runs a strict monthly deadline: a topic, raw scraping, then a visualization and writeup. Examples: a line‑by‑line Hamilton dataset with a filtering tool, face‑emotion frames pulled via Google Vision API and node scripts, a corrected historical set of 5,000 Olympic gold medals, and a 3,000‑node royal genealogy turned into an interactive network. The process emphasizes cleaning and cross‑checking data, hand‑crafted SVG path cubic Bezier shapes, iterative sketches, math for layout, and polished animations that mostly work under real‑world time pressure.
AI-written summary · about
chapters (8)
- 0:00Intro
- 2:37challenges faced
- 6:37Be curious, get creative with the data gathering
- 9:20Get a feeling of accuracy & completeness of your data
- 13:26Design with code what looks and works best
- 19:38Remix what's out there already
- 21:39Embrace custom SVG paths
- 24:08Expect struggles
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