Statistical Graphics and Visualization course materials

October 28, 2015
By

(This article was first published on Civil Statistician » R, and kindly contributed to R-bloggers)

I’ve just finished teaching the Fall 2015 session of 36-721, Statistical Graphics and Visualization. Again, it is a half-semester course designed primarily for students in the MSP program (Masters of Statistical Practice) in the CMU statistics department. I’m pleased that we also had a large number of students from other departments taking this as an elective.

For software we used mostly R (base graphics, ggplot2, and Shiny). But we also spent some time on Tableau, Inkscape, D3, and GGobi.

We covered a LOT of ground. At each point I tried to hammer home the importance of legible, comprehensible graphics that respect human visual perception.

Pie chart with remake

Remaking pie charts is a rite of passage for statistical graphics students

My course materials are below. Not all the slides are designed to stand alone, but I have no time to remake them right now. I’ll post some reflections separately.

Download all materials as a ZIP file (38 MB), or browse individual files:

Please note:

  • The examples, papers, blogs and researchers linked here are just scratching the surface. I meant no offense to anyone left out. I’ve simply tried to link to blogs, Twitter, and researchers’ websites that are actively updated.
  • I have tried my best to include attribution, citations, and links for all images (besides my own) in the lecture slides. Same for datasets in the R code. Wherever I use scans from a book, I have contacted the authors and do so with their approval (Alberto Cairo, Di Cook, Mark Monmonier, Colin Ware, & Robin Williams). However, if you are the creator or copyright holder of any images here and want them removed or the attribution revised, please let me know and I will comply.
  • Most of the cited books have an Amazon Associates link. If you follow these links and buy something during that visit, I get a small advertising fee (in the form of an Amazon gift card). Each year so far, these fees have totaled under $100 a year. I just spend it on more dataviz books :)

To leave a comment for the author, please follow the link and comment on their blog: Civil Statistician » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)