Publications by R on kieranhealy.org
Pi Day Circles
Some Lissajous animations for Pi Day. Made with R, ggplot, and gganimate. And the really not very efficient code that made them: r 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 ...
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Dorling Cartograms
I was writing some examples for next semester’s dataviz class and shared one of them—a Dorling Cartogram—on the socials medias. Some people don’t like cartograms, some people do like cartograms; in conclusion, we live in a world of contrasts. Also, some people asked for the code. So here it is, fwiw, after the pictures. These are not the mo...
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gssr Update
The General Social Survey, or GSS, is one of the cornerstones of US public opinion research and one of the most-analyzed datasets in Sociology. My colleague Steve Vaisey aptly describes it as the Hubble Space Telescope of American social science. It is routinely used in research, in teaching, and as a reference point in discussions about changes in...
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Flipbookr for Quarto
{{flipbookr}} is an R package written by Gina Reynolds. It’s very useful for teaching. It was developed for use with .Rmd files Xaringan and presently does not work with Quarto. I hacked-up a version of Flipbookr that does work with Quarto. Using it with Xaringan should be exactly the same as before. Right now it’s incomplete. I’ve just focus...
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The Naming of Stats
The Naming of Stats is a difficult matter, It isn’t just one of your holiday games; You may think at first I’m as mad as a hatter When I tell you, a stat must have THREE DIFFERENT NAMES. First of all are the names where usage is informal, Such as Median, Estimate, Average, or Range, Such as Variance, Quartile, or else Standard...
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Assault Deaths in the OECD 1960-2020
While we’re redoing some classics, here is the time series of assault deaths in the United States and eighteen other OECD countries from 1960 to 2020. Assault deaths in the OECD, 1960-2020. Code and data are available on GitHub. Related To leave a comment for the author, please follow the link and comment on their blog: R on kieranhealy.org....
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Life Expectancy and Health Spending in the OECD
The visualization exercise of the day for class is a re-creation of a figure I first saw Lane Kenworthy make. It’s a connected scatterplot of total health spending in real terms and life expectancy of the population as a whole. The fact that real spending and expectancy tend to steadily increase for most countries in most years makes the year-to-...
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Reading Remote Data Files
Sometimes data arrives as a series of individual files each of which is organized in the same way—which is to say, each of which has the same variables, features, or columns. Imagine a series of tables reporting mandated information about every school in the state, or a hundred spreadsheets each with information about a different country, or thir...
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Escaping the Malthusian Trap
The Broadberry et al GDP series has estimates of England’s real GDP and population from the year 1270 onwards. It’s available, along with a lot of other long-run data, from The Bank of England. Here’s an animation of the series. I sometimes use this as a scene-setter when teaching social theory. It’s great because, in addition to the basi...
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Iterating on the GSS
Let’s say we’re working with the General Social Survey. We’re interested in repeatedly fitting some model each year to see how some predictor changes over time. For example, the GSS has a longstanding question named fefam, where respondents are asked to give their opinion on the following statement: It is much better for everyone involved ...
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