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<h2>Powerful Publishable Plots: The Grammar of Graphics</h2> <blockquote> <p>RSVP for all sessions at: <a href="http://statstudio_cehs_usu.eventbrite.com" rel="nofollow">Stat Studio on Eventbrite</a></p> </blockquote> <ul> <li>2018, October 26th 10:00-noon, EDUC 454 by Sarah Schwartz</li> <li>2016, March 18th 1:00-3:00pm, EDUC 454, by Sarah Schwartz</li> </ul> <p>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.</p> <h2>Related Links</h2> <p>General</p> <ul> <li>PLoS Computational Biology <a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003833" rel="nofollow"><strong>Ten Simple Rules for Better Figures</strong></a></li> <li>APA Citation Style, 6th edition: <a href="http://libguides.gwumc.edu/c.php?g=27779&p=170358" rel="nofollow">Figures</a></li> <li>Duke University: <a href="https://guides.library.duke.edu/datavis/topten" rel="nofollow">Data Visualization: Cart Dos and Don'ts</a></li> <li><a href="https://www.interaction-design.org/literature/book/the-encyclopedia-of-human-computer-interaction-2nd-ed/data-visualization-for-human-perception" rel="nofollow">The Encyclopedia of Human-Computer Interaction, 2nd Ed</a></li> <li>A good online slideshow: <a href="https://www.slideshare.net/gcalmettes/explore-analyze-and-present-your-data" rel="nofollow">Your Data, by Guillaume Calmettes</a></li> </ul> <p>Hans Rosling: "The best stats you've ever seen" - 2009, great data story telling!</p> <ul> <li><a href="http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen" rel="nofollow">Full TEX talk</a> (20 min)</li> <li><a href="http://www.flixxy.com/200-countries-200-years-4-minutes.htm" rel="nofollow">200 Countries in 200 Years</a> (4 min)</li> </ul> <p>Darkhorse Analytics "Remove to Improve" Gif's</p> <ul> <li><a href="https://www.darkhorseanalytics.com/blog/data-looks-better-naked" rel="nofollow">the data-ink ratio</a></li> <li><a href="https://www.darkhorseanalytics.com/blog/salvaging-the-pie" rel="nofollow">the pie chart edition</a></li> <li><a href="https://www.darkhorseanalytics.com/blog/clear-off-the-table" rel="nofollow">the data tables edition</a></li> </ul> <p>Dynamite Plots</p> <ul> <li>PLoS Biology (2015): <a href="https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1002128&fullSite" rel="nofollow">Beyond Bar and Line Graphs: Time for a New Data Presentation Paradigm</a></li> <li>Vanderbily: Dept of Biostatistics: <a href="http://biostat.mc.vanderbilt.edu/wiki/Main/DynamitePlots" rel="nofollow">Departmental Policy</a> and the <a href="http://biostat.mc.vanderbilt.edu/wiki/pub/Main/TatsukiRcode/Poster3.pdf" rel="nofollow">"Beware of Dynamite" poster</a></li> <li>Ecological Models and Plots: <a href="http://emdbolker.wikidot.com/blog:dynamite" rel="nofollow">Dynamite plots: unmitigated evil?</a></li> </ul> <p>Use of Color - Coblis: <a href="http://www.color-blindness.com/coblis-color-blindness-simulator/" rel="nofollow">Color Blindness Simulator</a> - Color Scheme Tool (map): <a href="http://colorbrewer2.org" rel="nofollow">Color Brewer 2.0</a> and the publication in <a href="https://www.tandfonline.com/doi/pdf/10.1179/000870403235002042" rel="nofollow">The Cartographic Journal</a></p> <p>The Grammer of Graphics</p> <ul> <li>The FREE <a href="http://link.springer.com/book/10.1007/0-387-28695-0" rel="nofollow">Book by Leland Wilkinson</a></li> <li>Online Walkthrough Tutorial: <a href="https://pkg.garrickadenbuie.com/trug-ggplot2/#1" rel="nofollow">A Gentle Guide to the Grammer of Graphics</a></li> </ul> <p>Seaborn Violin Plots</p> <ul> <li><a href="https://seaborn.pydata.org/generated/seaborn.violinplot.html" rel="nofollow">R package demo</a> </li> </ul>
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