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Archive of posts filed under the Statistical graphics category.

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 doing: each week we have two classes that are full of student […]

What does CNN have in common with Carmen Reinhart, Kenneth Rogoff, and Richard Tol: They all made foolish, embarrassing errors that would never have happened had they been using R Markdown

Rachel Cunliffe shares this delight: Had the CNN team used an integrated statistical analysis and display system such as R Markdown, nobody would’ve needed to type in the numbers by hand, and the above embarrassment never would’ve occurred. And CNN should be embarrassed about this: it’s much worse than a simple typo, as it indicates […]

What do you do to visualize uncertainty?

Howard Wainer writes: What do you do to visualize uncertainty? Do you only use static methods (e.g. error bounds)? Or do you also make use of dynamic means (e.g. have the display vary over time proportional to the error, so you don’t know exactly where the top of the bar is, since it moves while […]

They know my email but they don’t know me

This came (unsolicited) in the inbox today (actually, two months ago; we’re on a delay, as you’re probably aware), subject line “From PWC – animations of CEO opinions for 2014″: Good afternoon, I wanted to see if the data my colleague David sent to you was of any interest. I have attached here additional animated […]

mysterious shiny things

(Disclaimer: I’m new to Shiny, and blog posts, but I know something about geography.)  In the Shiny gallery, take a look at 2001 versus 2002. Something funny happens to Switzerland (and other European countries), in terms of the legend, it moves from Europe to the Middle East. Also, the legend color scheme switches.     […]

One of the worst infographics ever, but people don’t care?

This post is by Phil Price. Perhaps prompted by the ALS Ice Bucket Challenge, this infographic has been making the rounds: I think this is one of the worst I have ever seen. I don’t know where it came from, so I can’t give credit/blame where it’s due. Let’s put aside the numbers themselves – […]

My courses this fall at Columbia

Stat 6103, Bayesian Data Analysis, TuTh 1-2:30 in room 428 Pupin Hall: We’ll be going through the book, section by section. Follow the link to see slides and lecture notes from when I taught this course a couple years ago. This course has a serious workload: each week we have three homework problems, one theoretical, […]

Data & Visualization Tools to Track Ebola

I’ve received the following email (slightly edited for clarity): Can anyone recommend a turnkey, full-service solution to help the Liberian government track the spread of Ebola and get this information out to the public? They want something that lets healthcare workers update info from mobile phones, and a workflow that results in data visualizations. They […]