Resources
The literature on data visualization, and the many disciplines that inform it, is vast. Here are some works that seem particularly useful to me.
Generalities
- [Ber73]
- Jacques Bertin. Semiology of Graphics: Diagrams, Networks, Maps (2010). Translated from the 2nd French edition (1973) by William J. Berg.
- [Cle85]
- William Cleveland. Elements of Graphing Data (1985).
- [Cle93]
- William Cleveland. Visualizing Data (1993).
- [Kna15]
- Cole Nussbaume Knaflic. Storytelling with Data (2015).
- [Tuf90]
- Edward Tufte. Envisioning Information (1990).
- [Tuf01]
- Edward Tufte. The Visual Display of Quantitative Information (2001). 2nd edition.
- [Wil05]
- Leland Wilkinson. The Grammar of Graphics (2005). 2nd edition. [CC URL].
Ethics
- [ASA18]
- American Statistical Association. Ethical Guidelines for Statistical Practice (2018). [URL].
- [ISI10]
- International Statistical Institute. Declaration on Professional Ethics (2010). [URL].
- [VM03]
- Stephen Vardeman and Max Morris. “Statistics and Ethics: Some Advice for Young Statisticians” (2003). The American Statistician. doi:10.1198/0003130031072. [CC URL].
Perception
- [CM84]
- William Cleveland and Robert McGill. “Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Models” (1984). Journal of the American Statistical Association. doi:10.2307/2288400. [CC URL].
- [CM85]
- William Cleveland and Robert McGill. “Graphical Perception and Graphical Methods for Analyzing Scientific Data” (1985). Science. doi:10.1126/science.229.4716.828. [CC URL].
- [Mac]
- Bruce MacEvoy. Handprint: Color Vision. [URL].
- [War12]
- Colin Ware. Information Visualization: Perception for Design (2012). 3rd edition. [CC URL].
Probability and Statistics
- [Was04]
- Larry Wasserman. All of Statistics: A Concise Course in Statistical Inference (2004).
- [Was06]
- Larry Wasserman. All of Nonparametric Statistics (2006). [CC URL].
R + RStudio + tidyverse + ggplot2
- [Hol]
- Yan Holtz. R Graph Gallery. [URL].
- [WNP21]
- Hadley Wickham, Danielle Navarro, and Thomas Lin Pedersen. ggplot2: Elegant Graphics for Data Analysis (2021). 3rd edition. [URL].
- [WG17]
- Hadley Wickham and Garrett Grolemund. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (2017). [URL].
Javascript + D3
- [Mur17]
- Scott Murray. Interactive Data Visualization for the Web: An Introduction to Designing with D3 (2017). 2nd edition.