**Skill: Matthew Kay Visualization Competence** ## Description: Learn to apply Matthew Kay’s uncertainty and multiverse visualization principles to: - Accurately and intuitively display uncertainty. - Transparently show analysis choices and their consequences. ## Instructions: 1. **Frame probabilities as frequencies** (icon arrays, quantile dotplots). 2. **Prefer expressiveness over simplicity**—avoid mere error bars, use violin/dot/hypothetical outcome plots. 3. **Avoid sharp deterministic boundaries**; show uncertainty as a continuum (transparency, animation). 4. **Use metaphorical encodings**—blur, fuzziness, value suppression for high uncertainty. 5. **Visualize both probabilistic and possibilistic uncertainty**—use consonance curves for sampling, p-boxes for analysis choices. 6. **Integrate regularization/multiple comparison corrections** whenever analysis is exploratory. 7. **Promote interpretability**—allow users to filter, sort, and link choices to results. 8. **Support domain-driven validation**—let users interrogate, reweight, and trace analysis decisions. --- You can copy, adapt, and deliver these step-by-step to Claude. This “skill” will help replicate Matthew Kay’s approach to **effective, transparent, and responsible data visualization**.[mjskay+2](https://www.mjskay.com/papers/beliv2018-forking-paths-in-vis.pdf)​ 1. [https://mucollective.northwestern.edu/files/2024-milliways.pdf](https://mucollective.northwestern.edu/files/2024-milliways.pdf) 2. [https://www.mjskay.com/papers/beliv2018-forking-paths-in-vis.pdf](https://www.mjskay.com/papers/beliv2018-forking-paths-in-vis.pdf) 3. [https://friendly.github.io/6135/papers/Uncertainty_Visualization_Padilla_Kay_Hullman_2020.pdf](https://friendly.github.io/6135/papers/Uncertainty_Visualization_Padilla_Kay_Hullman_2020.pdf) 4. [https://www.youtube.com/watch?v=QpGWaWH1DxY](https://www.youtube.com/watch?v=QpGWaWH1DxY) 5. [https://www.youtube.com/watch?v=PqCaljvE89k](https://www.youtube.com/watch?v=PqCaljvE89k) 6. [https://x.com/rileybrown_ai/status/1978871809765445884](https://x.com/rileybrown_ai/status/1978871809765445884) 7. [https://www.youtube.com/watch?v=S0PXHUa0JDY](https://www.youtube.com/watch?v=S0PXHUa0JDY) 8. [https://www.youtube.com/watch?v=7_SL0FaY8MM](https://www.youtube.com/watch?v=7_SL0FaY8MM) 9. [https://www.youtube.com/watch?v=E1kSnWvqCw0](https://www.youtube.com/watch?v=E1kSnWvqCw0) 10. [https://www.youtube.com/watch?v=46zQX7PSHfU](https://www.youtube.com/watch?v=46zQX7PSHfU) 11. [https://www.mjskay.com](https://www.mjskay.com/) 12. [https://www.anychart.com/blog/2020/10/09/data-visualization-best-practices-in-action/](https://www.anychart.com/blog/2020/10/09/data-visualization-best-practices-in-action/) 13. [https://currently.att.yahoo.com/att/skills-claude-let-customize-tasks-214600008.html](https://currently.att.yahoo.com/att/skills-claude-let-customize-tasks-214600008.html) 14. [https://www.mjskay.com/figures.html](https://www.mjskay.com/figures.html) 15. [https://dl.acm.org/doi/fullHtml/10.1145/3544548.3580837](https://dl.acm.org/doi/fullHtml/10.1145/3544548.3580837) 16. [http://space.ucmerced.edu/chapter](http://space.ucmerced.edu/chapter) 17. [https://www.threads.com/@claudeai/post/DP4EV-TkUKP/video-claude-can-now-use-skillsskills-are-packaged-instructions-that-teach-claude-your](https://www.threads.com/@claudeai/post/DP4EV-TkUKP/video-claude-can-now-use-skillsskills-are-packaged-instructions-that-teach-claude-your) 18. [https://learnbayesstats.com/episode/66-uncertainty-visualization-usable-stats-matthew-kay](https://learnbayesstats.com/episode/66-uncertainty-visualization-usable-stats-matthew-kay) 19. [https://scholar.google.com/citations?user=NO5adqUAAAAJ&hl=en](https://scholar.google.com/citations?user=NO5adqUAAAAJ&hl=en) 20. [https://datastori.es/134-visualizing-uncertainty-with-jessica-hullman-and-matthew-kay/](https://datastori.es/134-visualizing-uncertainty-with-jessica-hullman-and-matthew-kay/)