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 dplyr.tidyverse.org
Keep or drop columns using their names and types select dplyr
| | tidyselect.r-lib.org
Select variables that match a pattern - starts_with tidyselect
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| | These selection helpers match variables according to a given pattern. starts_with(): Starts with an exact prefix. ends_with(): Ends with an exact suffix. contains(): Contains a literal string. matches(): Matches a regular expression. num_range(): Matches a numerical range like x01, x02, x03.
| | purrr.tidyverse.org
Map over two inputs - map2 purrr
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| | These functions are variants of map() that iterate over two arguments at a time.
| | josiahparry.com
Josiah Parry - Evaluate strings as code
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| | [AI summary] The article explains how to programmatically create and execute valid R code to programmatically extract datasets from packages.
| | kieranhealy.org
Animating U.S. Population Distributions - 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...