For the data analysis course I'm teaching these days, I've been looking into the best way of plotting the data (classical two-dimensional line or scatterplot). There are surprisingly few resources (or I am surprisingly bad at searching for them!)
The classics:
- J. W. Tukey, Exploratory data analysis (1977).
- Edward Tufte has some interesting things to say, in particular in The Visual Display of Quantitative Information (1983), but I do not agree with some of his principles. I'll probably write a detailed post about Tufte in the next weeks.
- W. S. Cleveland, The Elements of Graphing Data (1985).
The moderns:
- Kelly, D., Jasperse, J., and Westbrooke, I. Designing science graphs for data analysis and presentation, technical report (2005). Freely available.
- Kamat, P., Hartland, G. V., and Schatz, G. C. Graphical Excellence. The Journal of Physical Chemistry Letters 5, 2118–2120 (2014). This open-access editorial gives a succinct list of do's and don'ts, as well as an example of a well-structured graph. Contains useful tips for submissions to ACS journals.
- Ten examples of bad graphs, with very short discussion.
- M. Friendly, Milestones in the history of thematic cartography, statistical graphics, and data visualization (2009). Extremely detailed.
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