# Research & resources: Visualize key data 3 wildly different ways.

## Sources linked in the activity

- [Edward Tufte — quiet precision](https://www.edwardtufte.com/notebook/sparkline-theory-and-practice-edward-tufte/) — Small, aligned comparisons that make a departure from the pattern jump out.
- [Hans Rosling / Gapminder — make change move](https://www.gapminder.org/tools/assets/guide.pdf) — Animated journeys or successive frames that let you watch the story unfold.
- [Giorgia Lupi — make the data human](https://giorgialupi.com/data-humanism-my-manifesto-for-a-new-data-wold) — Distinctive marks and individual detail that give a large dataset texture and personality.
- [David McCandless — make scale click](https://informationisbeautiful.net/2010/the-billion-dollar-o-gram-2009/) — Bold visual comparisons that make an otherwise abstract number feel comprehensible.
- [W. E. B. Du Bois and the Atlanta team — a bold visual argument](https://www.searchablemuseum.com/w-e-b-du-bois-at-the-1900-paris-exposition/) — Striking color, geometry, and direct comparisons that give the evidence presence.
- [Nadieh Bremer — reveal the connections](https://www.visualcinnamon.com/portfolio/alis-os/) — An explorable web that makes relationships, concentrations, and dependencies visible.
- [Shirley Wu — make the pattern unexpected](https://www.shirleywu.studio/notebook/2025-04-flowers) — Flowers, trees, or another visual metaphor whose shapes and colors encode real values.

[Return to the activity](https://bingo.feedforward-collective.com/moves/136).