Visualising data

Philosophy and psychology of good plots

A grab-bag of links about making data visually comprehensible. For now this is mostly a lift 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 specialisation, data dashboards, which appeals to executives and thus has money in it, so has its own notebook.



Heer, Jeffrey, Michael Bostock, and Vadim Ogievetsky. 2010. β€œA Tour Through the Visualization Zoo.” Queue 8 (5): 20:20–30.
Lucchesi, Lydia R., Petra M. Kuhnert, and Christopher K. Wikle. 2021. β€œVizumap: An R Package for Visualising Uncertainty in Spatial Data.” Journal of Open Source Software 6 (59): 2409.
McInnes, Leland, John Healy, and James Melville. 2018. β€œUMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.” arXiv:1802.03426 [Cs, Stat], December.
Olah, Chris, Alexander Mordvintsev, and Ludwig Schubert. 2017. β€œFeature Visualization.” Distill 2 (11): e7.
Wickham, Hadley. 2010. Ggplot2: Elegant Graphics for Data Analysis (Use R!). Springer.

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