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Archive of posts filed under the Statistical graphics category.

Bill Gates’s favorite graph of the year

Under the subject line “Blog bait!”, Brendan Nyhan points me to this post at the Washington Post blog: For 2013, we asked some of the year’s most interesting, important and influential thinkers to name their favorite graph of the year — and why they chose it. Here’s Bill Gates’s. Infographic by Thomas Porostocky for WIRED. […]

NYT version of birthday graph

They didn’t have room for all four graphs of the time-series decomposition so they just displayed the date-of-year graph: They rotated so the graph fit better on the page. The rotation worked for me, but I was a bit bummed that that they put the title and heading of the graph (“The birthrate tends to […]

And now, here’s something that would make Ed Tufte spin in his . . . ummm, Tufte’s still around, actually, so let’s just say I don’t think he’d like it!

We haven’t had one of these in awhile, having mostly switched to the “chess trivia” and “bad p-values” genres of blogging . . . But I had to come back to the topic after receiving this note from Raghuveer Parthasarathy: Here’s another bad graph you might like. It might (arguably) be even worse than the […]

Tables > figures yet again

I received the following email from someone who would like to remain anonymous: A journal editor made me change all my figures into tables. I complied, but I sent along one of your papers on the topic of figures versus tables. I got the following email in response which I thought you’d find funny: Yes, […]

Data visualizations gone beautifully wrong

Jeremy Fox points us to this compilation of data visualizations in R that went wrong, in a way that ended up making them look like art. They are indeed wonderful.

“Marginally significant”

Jeremy Fox writes: You’ve probably seen this [by Matthew Hankins]. . . . Everyone else on Twitter already has. It’s a graph of the frequency with which the phrase “marginally significant” occurs in association with different P values. Apparently it’s real data, from a Google Scholar search, though I haven’t tried to replicate the search […]

Most Popular Girl Names by State over Time

The following should be catnip for Andrew. It combines (a) statistics on baby names, (b) time series, and (c) statistics broken down by state. All in one really fun animated visualization by Reuben Fischer-Baum: Sixty Years of the Most Popular Names for Girls As Mark Liberman commented in his re-post on Language Log, this data […]

Cool dynamic demographic maps provide beautiful illustration of Chris Rock effect

Robert Gonzalez reports on some beautiful graphs from John Nelson. Here’s Nelson:   The sexes start out homogenous, go super segregated in the teen years, segregate for business in the twenty-somethings, and re-couple for co-habitation years.  Then the lights fade into faint pockets of pink.   I [Nelson] am using simple tract-level population/gender counts from […]

Visualization, “big data”, and EDA

Dean Eckles writes: Given your ongoing discussion of info viz for different goals, you might be interested in Sinan Aral’s new article: This touches on several info viz themes: – Viz for yourself (or your team) vs. visualizations to share the final conclusions – Viz for identifying promising features for use in modeling – Viz […]

Give me a ticket for an aeroplane

How long are songs? Gabriel Rossman discusses the two peaks, one at just under 3 minutes and one at just under 4 minutes. He quotes musician Jacob Slichter: In anticipation of “crossing over” the single to radio formats . . . Each mix had to be edited down to under four minutes, an important limit […]