Category Archives for Blog
Exploring the Relationship between Religion and Demographics in R
Today’s guest post is our second by Julia Silge. In her first post (“Mapping US Religion Adherence by County in R“) she demonstrated how to work with US religion adherence data in R. In this post she explores the relationship between that dataset and US Demographic data. Julia can be found blogging here or on Twitter. […]
Continue readingMapping US Religion Adherence by County in R
Today’s guest post is by Julia Silge. After reading Julia’s analysis of religions in America (“This is the Place, Apparently“) I invited her to teach my readers how to map information about US Religious Adherence by County in R. Julia can be found blogging here or on Twitter. I took Ari’s free email course for […]
Continue readingVisualizing Census Estimate Margins of Error in R
A key feature of American Community Survey (ACS) data is that the reported values contain both estimates and margins of error. The margins of error, unfortunately, are often overlooked. After meeting with Ezra Glenn last year I gained a new appreciation of them. Today I’ll demonstrate how to visualize them, as well as how they tend to […]
Continue readingCombining Admin 1 Choropleths and Reference Maps
A new version of choroplethr (v3.4.0) is now on CRAN. It allows you to combine Administrative Level 1 choropleths with reference maps. For reference, this functionality has been present for US maps for a while now (1, 2). This update just extends that functionality to the Administrative Level 1 mapping function, admin1_choropleth. To do this, […]
Continue readingFaster Admin 1 Maps in Choroplethr
A new version of ChoroplethrAdmin1 is now on CRAN, and it dramatically speeds up making Administrative Level 1 maps in choroplethr. “Administrative Level 1” is just a generic term for “1st subnational division”. In the US this is called a State, in Canada it’s called a Province, and so on. Overall, this package contains Admin […]
Continue reading