That paper I was telling you to read
papers
I was joking at lunch with some colleagues that I should have a few of my favorite papers linked on the main page of my website, so when I reference them for the n^th time, I can just say “look at my website” instead of promising to email them. While I don’t think it’s reasonable to put this on my front page, here’s the current list of my “have you read [x]?” papers:
- Evaluating the Design of the R Language: I’ll admit, I don’t understand everything that’s in this paper. And it certainly wasn’t necessary to sell me on R! But, I interact with a lot of computer scientists who ask me “why R?” and this paper seems to be a much better answer than anything I manage to come up with.
- Technical Tools of Statistics: Tukey’s vision of the future, from the 1960s. Interesting because we’re still trying to figure this stuff out.
- Six Provocations for Big Data: This article, by danah boyd and Kate Crawford, gives a great response to the buzzword trend of “Big Data.”
- Research Directions in Data Wrangling: Just a great paper summing up some directions for research/development in the realm of data processes.
- Graphical Inference for InfoVis: Using an array of plots, most of them with “null” data, to determine if patterns you’re seeing are real or just the result of randomness.
Permuted graphic showing the location of Lakers players when they made 3-point shots. Which do you think is the real data?