Do you know Nothing when you see it?
I’m currently at OpenVisConf and in awe of my fellow presenters. I did my presentation, “Do you know Nothing when you see it?” before lunch and have been slowly unwinding since then. A couple people asked for links to my slides and resources, so here they are!
I saved my Keynote slides as HTML and posted them on my website. They seem even lower quality than in Keynote (how is that possible?!) but you can access them here.
title slide image from flickr: hungry_i
Resources: [May be updated to be more descriptive if I get the energy.]
Randomization and the bootstrap:
David M Diez, Christopher D Barr, Mine Çetinkaya-Rundel. Introductory Statistics with Randomization and Simulation.
Jonathan Stray. “Solve Every Statistics Problem with One Weird Trick.” NICAR 2016.
Tim Hesterberg. “What Teachers Should Know About the Bootstrap.“
Graphical inference:
- Hadley Wickham, Dianne Cook, Heike Hofmann, and Andreas Buja. (2010). Graphical Inference for Infovis. IEEE Transactions on Visualization and Computer Graphics, 16(6).
R packages:
Modifiable Areal Unit Problem and Gerrymandering
Christopher Ingraham. This is the best explanation of gerrymandering you will ever see. The Washington Post.
Exploring parameter space:
Aran Lunzer and Amelia McNamara. (2014). It ain’t necessarily so: Checking charts for robustness. In IEEE Vis 2014.
Thank you so much to everyone who offered kind words about my presentation!