Mapping Birds with Choroplethr
After releasing my course Mapmaking in R with Choroplethr last December I received an interesting email from Dr. Herb Wilson, a biologist at Colby College. Herb studies the Red-breasted Nuthatch, which live throughout the United States and Canada. He asked if it was possible to use choroplethr to map the location of these birds. Herb’s data was […]
Continue readingTaking the Next Step with Census Data
Today I had the pleasure of speaking over the phone with someone from the Census Bureau. This was my first time speaking with someone who works there, and it was fun to move from thinking of the Census Bureau as “a government agency” to “a place where someone I know works.” The Questions The conversation revolved around […]
Continue readingExploring 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 […]
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