Notes:

start date topic reading/viewing notes
8 Jan overview; tidyverse/ggplot basics GitHub lessons (Jenny Bryan; GitHub with GitHub desktop; GitHub on the command line); Software Carpentry lessons on dplyr and tidyr; John Rauser on How Humans See Data
15 Jan principles: Tukey, Cleveland, Tufte Cleveland and McGill (1984); Cleveland and McGill (1987)
22 Jan exploratory graphics
29 Jan diagnostic graphics Peltonen, Venna, and Kaski (2009)
5 Feb inferential graphics Wickham et al. (2010); Gelman, Pasarica, and Dodhia (2002); Gelman (2011)
12 Feb infoviz vs data viz; ethics; expository graphics Su (2008); Gelman and Unwin (2013) class moved to MDCL 1115 (12 Feb)/TSH B126 (13 Feb)
19 Feb winter break
26 Feb working week
5 Mar dynamic graphics example data; HTML widget gallery; Hans Rosling’s TED talks on Gapminder; ggvis Cai; Wang
12 Mar high-dimensional data ggobi (articles on GGobi by Cook et al.) Li; He
19 Mar spatial data and mapping working directory; presentation files Bushby; Jovic
26 Mar alternative platforms for data visualization intro to D3; Vega; Python (matplotlib; seaborn; …) Lopez; Kuzmin
2 Apr network/tree data igraph/ggdendro packages etc.; Swayne, Buja, and Lang (2004) Chen; Zhang
9 Apr meet if it seems like a good idea

References

Cleveland, William S., and Robert McGill. 1984. “Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods.” Journal of the American Statistical Association 79 (387): 531–54. doi:10.2307/2288400.

———. 1987. “Graphical Perception: The Visual Decoding of Quantitative Information on Graphical Displays of Data.” Journal of the Royal Statistical Society. Series A (General) 150 (3): 192–229. doi:10.2307/2981473.

Gelman, Andrew. 2011. “Why Tables Are Really Much Better Than Graphs.” Journal of Computational and Graphical Statistics 20 (1): 3–7. doi:10.1198/jcgs.2011.09166.

Gelman, Andrew, and Antony Unwin. 2013. “Infovis and Statistical Graphics: Different Goals, Different Looks.” Journal of Computational and Graphical Statistics 22 (1): 2–28. doi:10.1080/10618600.2012.761137.

Gelman, Andrew, Cristian Pasarica, and Rahul Dodhia. 2002. “Let’s Practice What We Preach: Turning Tables into Graphs.” The American Statistician 56 (2): 121–30. http://www.tandfonline.com/doi/abs/10.1198/000313002317572790.

Peltonen, Jaakko, Jarkko Venna, and Samuel Kaski. 2009. “Visualizations for Assessing Convergence and Mixing of Markov Chain Monte Carlo Simulations.” Computational Statistics & Data Analysis 53 (12): 4453–70. doi:10.1016/j.csda.2009.07.001.

Su, Yu-Sung. 2008. “It’s Easy to Produce Chartjunk Using Microsoft®Excel 2007 but Hard to Make Good Graphs.” Computational Statistics & Data Analysis 52 (10): 4594–4601. doi:10.1016/j.csda.2008.03.007.

Swayne, Deborah F., Andreas Buja, and Duncan Temple Lang. 2004. “Exploratory Visual Analysis of Graphs in GGobi.” In Proceeds of the 3d International Workshop on Distributed Statistical Computing (Dsc 2003), edited by K. Hornik and F. Leisch, 477–88. Springer. https://link.springer.com/chapter/10.1007/978-3-7908-2656-2_39.

Wickham, H., D. Cook, H. Hofmann, and Andreas Buja. 2010. “Graphical Inference for Infovis.” IEEE Transactions on Visualization and Computer Graphics 16 (6): 973–79. doi:10.1109/TVCG.2010.161.