Visualizing data
Philosophy and psychology of good plots
July 4, 2016 — November 21, 2023
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
- cxli233/FriendsDontLetFriends: Friends don’t let friends make certain types of data visualization—What are they and why are they bad.
- Data cuisine visualises statistics via Michelin-star-lookin’ food
- A tour through the visualization zoo
- rawgraphs unifies a lot of hip ideas about graphing in a web context.
2 Practitioners
- Mitchell Whitelaw is a practitioner and also a critic of this area.
- Small multiples is a fun agency in Sydney doing visualisations of intriguing data sets.
- Miriam Quick
- Omid Kashan
- David McCandless founder of …
- Information is Beautiful is a classic blog of datavis projects
- FlowingData likewise blogs tasty links in this area.
- The works of data visualization granddaddy, French engineer Charles-Joseph Minard, are online.
- Average Happiness | Short film by Maja Gehrig
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!).