Kaiser writes: More on that work on age adjustment. I keep asking myself where is it in the Stats curriculum do we teach students this stuff? A class session focused on that analysis teaches students so much more about statistical thinking than anything we have in the textbooks. I’m not sure. This sort of analysis […]

**Statistical graphics**category.

## Birthday analysis—Friday the 13th update, and some model checking

Carl Bialik and Andrew Flowers at fivethirtyeight.com (Nate Silver’s site) ran a story following up on our birthdays example—that time series decomposition of births by day, which is on the cover of the third edition of Bayesian Data Analysis using data from 1968-1988, and which then Aki redid using a new dataset from 2000-2014. Friday […]

## Beautiful Graphs for Baseball Strike-Count Performance

This post is by Bob. I have no idea what Andrew will make of these graphs; I’ve been hoping to gather enough comments from him to code up a ggplot theme. Shravan, you can move along, there’s nothing here but baseball. Jim Albert created some great graphs for strike-count performance in a series of two […]

## Integrating graphs into your workflow

Discussion of statistical graphics typically focuses on individual graphs (for example here). But the real gain in your research comes from integrating graphs into your workflow. You want to be able to make the graphs you want, when you want them. At the same time, the graph have to be good enough that you can […]

## Somebody’s reading our research.

See footnote 10 on page 5 of this GAO report. (The above graphs are just for age 45-54, which demonstrates an important thing about statistical graphics: They should be as self-contained as possible. Otherwise when the graph is separated from its caption, it requires additional words of explanation, as you are seeing here.)

## Numbers too good to be true? Or: Thanks, Obama!?

This post is by Phil. The “Affordable Care Act” a.k.a. “Obamacare” was passed in 2010, with its various pieces coming into play over the following few years. One of those pieces is penalties for hospitals that see high readmission rates. The theory here, or at least one of the theories here, was that hospitals could […]

## Thinking about this beautiful text sentiment visualizer yields a surprising insight about statistical graphics

Lucas Estevem set up this website in d3 as his final project in our statistical communication and graphics class this spring. Copy any text into the window, push the button, and you get this clean and attractive display showing the estimated positivity or negativity of each sentence. The length of each bar is some continuously-scaled […]

## Graphical Data Analysis with R

Graphical Data Analysis with R: that’s the title of Antony Unwin’s new book. Here are the chapter titles: Ch01 Setting the Scene Ch03 Examining continuous variables Ch04 Displaying Categorial Data Ch05 Looking for Structure Ch06 Investigating Multivariate Continuous Data Ch07 Studying Multivariate Categorical Data Ch08 Getting an Overview Ch09 Graphics and Data Quality Ch10 Comparisons […]

## Job opening . . . for a data graphics editor!

Larry Wheeler writes: I’m the managing editor at Health Affairs, a monthly peer-reviewed journal about health policy. We publish a lot of statistical graphics submitted with manuscripts from academic, industry, and government researchers. We have a job opening for a new position we’re calling “data graphics editor.” I’ve been having trouble attracting the right kind […]

## I wish Napoleon Bonaparte had never been born

Not just for all the usual good reasons why the world needs fewer mass murderers, but also for the very specific reason that, had there been no Napoleon, there’d be no Napoleon-in-Russia graph, then no shining example for Ed Tufte to illustrate how people should make their graphs, then maybe graph-makers wouldn’t all feel that […]

## Where the fat people at?

Pearly Dhingra points me to this article, “The Geographic Distribution of Obesity in the US and the Potential Regional Differences in Misreporting of Obesity,” by Anh Le, Suzanne Judd, David Allison, Reena Oza-Frank, Olivia Affuso, Monika Safford, Virginia Howard, and George Howard, who write: Data from BRFSS [the behavioral risk factor surveillance system] suggest that […]

## This graph is so ugly—and you’ll never guess where it appeared

Raghu Parthasarathy writes: I know you’re sick of seeing / being pointed to awful figures, but this one is an abomination of a sort I’ve never seen before: It’s a pie chart *and* a word cloud. In an actual research paper! Messy, illegible, and generally pointless. It’s Figure 1 of this paper (in Cell — […]

## One quick tip for building trust in missing-data imputations?

Peter Liberman writes: I’m working on a paper that, in the absence of a single survey that measured the required combination of variables, analyzes data collected by separate, uncoordinated Knowledge Networks surveys in 2003. My co-author (a social psychologist who commissioned one of the surveys) and I obtained from KN unique id numbers for all […]

## If you’re using Stata and you want to do Bayes, you should be using StataStan

Robert Grant, Daniel Furr, Bob Carpenter, and I write: Stata users have access to two easy-to-use implementations of Bayesian inference: Stata’s native bayesmh function and StataStan, which calls the general Bayesian engine Stan. We compare these on two models that are important for education research: the Rasch model and the hierarchical Rasch model. Stan (as […]

## “Earlier you had waxed nostalgic for the days when people sent you bad graphs . . .”

Nadia Hassan writes: Earlier you had waxed nostalgic for the days when people sent you bad graphs. This [from Javier Zarracina] is not a stand-out on that front, but it is far from ideal: A lot of buzz in recent years about data journalism or quantitative journalism. There is a lot of issues to be […]

## Citation shocker: “The lifecycle of scholarly articles across fields of economic research”

David Backus writes: Check esp fig 2 here. He was pointing me to a post by Sebastian Galiani, Ramiro Galvez, and Maria Victoria Anauati called The lifecycle of scholarly articles across fields of economic research. And here’s fig 2: And, as usual, I duck all the interesting questions and move toward triviality: This should be […]

## First, second, and third order bias corrections (also, my ugly R code for the mortality-rate graphs!)

As an applied statistician, I don’t do a lot of heavy math. I did prove a true theorem once (with the help of some collaborators), but that was nearly twenty years ago. Most of the time I walk along pretty familiar paths, just hoping that other people will do the mathematical work necessary for me […]

## Just Filling in the Bubbles

Collin Hitt writes: I study wrong answers, per your blog post today. My research focuses mostly on surveys of schoolchildren. I study the kids who appear to be just filling in the bubbles, who by accident actually reveal something of use for education researchers. Here’s his most recent paper, “Just Filling in the Bubbles: Using […]

## The Rachel Tanur Memorial Prize for Visual Sociology

Judy Tanur writes: The Rachel Tanur Memorial Prize for Visual Sociology recognizes students in the social sciences who incorporate visual analysis in their work. The contest is open worldwide to undergraduate and graduate students (majoring in any social science). It is named for Rachel Dorothy Tanur (1958–2002), an urban planner and lawyer who cared deeply […]

## Hi-tech hoops: Characterizing the spatial structure of defensive skill in professional basketball

Joshua Vogelstein points me to this article by Alexander Franks, Andrew Miller, Luke Bornn, and Kirk Goldsberry and writes: For some reason, I feel like you’d care about this article, and the resulting discussion on your blog would be fun. Hey—label your lines directly! Cool! Ummm . . . no. No. Really, really, really, really […]