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 ahs money in it.

References

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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