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juliasilge.com | ||
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kieranhealy.org
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| | | | | With the 2020 U.S. Census in motion already, I've been looking at various pieces of data from the Census Bureau. I decided I wanted to draw some population pyramids for the U.S. over as long a time series as I could. What's needed for that are tables for, say, as many years as possible that show the number of males and females alive at every year of age from zero to the highest age you're willing to track. This sort of data is available on the Census website. But it tuned out to be somewhat tedious to assemble into a single usable series. (Perhaps it's available in an easy-to-digest form elsewhere, but I couldn't find it.) I initially worked with a couple of the excellent R packages that talk to the Census API (tidycensus and censusapi), hoping they'd give m... | |
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conormclaughlin.net
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| | | | | ChatGPT is able to create and edit data visualization code, leveraging both ggplot2 and Seaborn. This post contains a small set of examples | |
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freerangestats.info
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| | | | | How to produce an animation of demographic patterns in Pacific island countries and territories from 1950 to 2050, in just a few lines of code. | |
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easystats.github.io
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| | | You probably already have heard of the parameters package, a light-weight package to extract, compute and explore the parameters of statistical models using R (if not, there is a related publication introducing the package's main features). In this post, we like to introduce a new feature that facilitates nicely rendered output in markdown or HTML format (including PDFs). This allows you to easily create pretty tables of model summaries, for a large variety of models. | ||
