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Archive of posts filed under the Statistical graphics category.

The axes are labeled but I don’t know what the dots represent.

John Sukup writes: I came across a chart recently posted by Boston Consulting Group on LinkedIn and wondered what your take on it was. To me, it seems to fall into the “suspicious” category but thought you may have a different opinion. I replied that this one baffles me cos I don’t know what the […]

Another example of why centering predictors can be good idea

Andrew Dolman writes: Just in case you need another example of why it is important to consider what the intercepts in a model represent, here is a short comment I [Dolman] just got published correcting a misinterpretation of a simple linear model, that would not have happened if they had centered their predictor around a […]

Six quick tips to improve your regression modeling

It’s Appendix A of ARM: A.1. Fit many models Think of a series of models, starting with the too-simple and continuing through to the hopelessly messy. Generally it’s a good idea to start simple. Or start complex if you’d like, but prepare to quickly drop things out and move to the simpler model to help […]

I like the clever way they tell the story. It’s a straightforward series of graphs but the reader has to figure out where to click and what to do, which makes the experience feel more like a voyage of discovery.

Jonathan Falk asks what I think of this animated slideshow by Matthew Klein on “How Americans Die”: Please click on the above to see the actual slideshow, as this static image does not do it justice. What do I think? Here was my reaction: It is good, but I was thrown off by the very […]

50 shades of gray goes pie-chart

Rogier Kievit sends in this under the heading, “Worst graph of the year . . . horribly unclear . . . Even the report doesn’t have a legend!”: My reply: It’s horrible but I still think the black-and-white Stroop test remains the worst visual display of all time: What’s particularly amusing about the Stroop image […]

I love it when I can respond to a question with a single link

Shira writes: This came up from trying to help a colleague of mine at Human Rights Watch. He has several completely observed variables X, and a variable with 29% missing, Y. He wants a histogram (and other descriptive statistics) of a “filled in” Y. He can regress Y on X, and impute missing Y’s from […]

2 on chess

Is it really “often easier to win a rematch than to defend a championship”? The quoted bit above comes from Tyler Cowen, writing about the Anand/Carlsen world championship rematch. I’m still not used to the idea of a new world championship match every year but I guess why not? Anyway, here’s my question. Tyler Cowen […]

Try a spaghetti plot

Joe Simmons writes: I asked MTurk NFL fans to consider an NFL game in which the favorite was expected to beat the underdog by 7 points in a full-length game. I elicited their beliefs about sample size in a few different ways (materials .pdf; data .xls). Some were asked to give the probability that the better […]

Statistical Communication and Graphics Manifesto

Statistical communication includes graphing data and fitted models, programming, writing for specialized and general audiences, lecturing, working with students, and combining words and pictures in different ways. The common theme of all these interactions is that we need to consider our statistical tools in the context of our goals. Communication is not just about conveying […]

My course on Statistical Communication and Graphics

We will study and practice many different aspects of statistical communication, including graphing data and fitted models, programming in Rrrrrrrr, writing for specialized and general audiences, lecturing, working with students and colleagues, and combining words and pictures in different ways. You learn by writing an entry in your statistics diary every day. You learn by […]