Powerful Publishable Plots: The Grammar of Graphics ------------------------------------------------- > RSVP for all sessions at: [Stat Studio on Eventbrite][1] - 2018, October 26th 10:00-noon, EDUC 454 by Sarah Schwartz - 2016, March 18th 1:00-3:00pm, EDUC 454, by Sarah Schwartz This session will focus on the Grammar of Graphics, rather than any specific software package. Much of the material covered will come directly from Jurgen Symanzik, who is not only a USU professor of Statistics, but a world renowned specialist in visualization and graphics. This class will focus on what makes good graphics good and what to avoid to make more powerful plots. Related Links ---------- General - PLoS Computational Biology [**Ten Simple Rules for Better Figures**][15] - APA Citation Style, 6th edition: [Figures][16] - Duke University: [Data Visualization: Cart Dos and Don'ts][21] - [The Encyclopedia of Human-Computer Interaction, 2nd Ed][10] - A good online slideshow: [Your Data, by Guillaume Calmettes][20] Hans Rosling: "The best stats you've ever seen" - 2009, great data story telling! - [Full TEX talk][13] (20 min) - [200 Countries in 200 Years][14] (4 min) Darkhorse Analytics "Remove to Improve" Gif's - [the data-ink ratio][7] - [the pie chart edition][6] - [the data tables edition][8] Dynamite Plots - PLoS Biology (2015): [Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm][2] - Vanderbily: Dept of Biostatistics: [Departmental Policy][3] and the ["Beware of Dynamite" poster][4] - Ecological Models and Plots: [Dynamite plots: unmitigated evil?][5] Use of Color - Coblis: [Color Blindness Simulator][17] - Color Scheme Tool (map): [Color Brewer 2.0][18] and the publication in [The Cartographic Journal][19] The Grammer of Graphics - The FREE [Book by Leland Wilkinson][11] - Online Walkthrough Tutorial: [A Gentle Guide to the Grammer of Graphics][12] Seaborn Violin Plots - [R package demo][9] [1]: http://statstudio_cehs_usu.eventbrite.com [2]: https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002128&fullSite [3]: http://biostat.mc.vanderbilt.edu/wiki/Main/DynamitePlots [4]: http://biostat.mc.vanderbilt.edu/wiki/pub/Main/TatsukiRcode/Poster3.pdf [5]: http://emdbolker.wikidot.com/blog:dynamite [6]: https://www.darkhorseanalytics.com/blog/salvaging-the-pie [7]: https://www.darkhorseanalytics.com/blog/data-looks-better-naked [8]: https://www.darkhorseanalytics.com/blog/clear-off-the-table [9]: https://seaborn.pydata.org/generated/seaborn.violinplot.html [10]: https://www.interaction-design.org/literature/book/the-encyclopedia-of-human-computer-interaction-2nd-ed/data-visualization-for-human-perception [11]: http://link.springer.com/book/10.1007/0-387-28695-0 [12]: https://pkg.garrickadenbuie.com/trug-ggplot2/#1 [13]: http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen [14]: http://www.flixxy.com/200-countries-200-years-4-minutes.htm [15]: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003833 [16]: http://libguides.gwumc.edu/c.php?g=27779&p=170358 [17]: http://www.color-blindness.com/coblis-color-blindness-simulator/ [18]: http://colorbrewer2.org [19]: https://www.tandfonline.com/doi/pdf/10.1179/000870403235002042 [20]: https://www.slideshare.net/gcalmettes/explore-analyze-and-present-your-data [21]: https://guides.library.duke.edu/datavis/topten