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.