Visualizing data

Philosophy and psychology of good plots

July 4, 2016 — November 21, 2023

communicating
computers are awful
faster pussycat
generative art
making things
photon choreography

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Figure 1

A grab-bag of links about making data visually comprehensible. For now, this is mostly a list of people I want to link to, but I might also share some insight into good communicative graphic design if, heaven forfend, I end up needing to pretend to be a graphic designer in some dire strait. A weird corner of this discipline is the specialization, data dashboards, which appeals to executives and thus has money in it, so it has its own notebook.

1 Resources

2 Practitioners

3 References

Heer, Bostock, and Ogievetsky. 2010. “A Tour Through the Visualization Zoo.” Queue.
Lucchesi, Kuhnert, and Wikle. 2021. “Vizumap: An R Package for Visualising Uncertainty in Spatial Data.” Journal of Open Source Software.
McInnes, Healy, and Melville. 2018. “UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.” arXiv:1802.03426 [Cs, Stat].
Olah, Mordvintsev, and Schubert. 2017. “Feature Visualization.” Distill.
Wickham. 2010. Ggplot2: Elegant Graphics for Data Analysis (Use R!).