In this 2.5 hour workshop, you'll learn how to access and analyze brand-new data from the 2020 Decennial Census using R and tidycensus. The Demographic and Housing Characteristics (DHC) file, released on May 25, includes our first look at detailed age, sex, and household characteristics from the 2020 Census all the way down to the Census block.
In the first hour, you'll be introduced to brand-new functionality in tidycensus to seamlessly access the new Census data within R. You'll get unique tips on the tidycensus R package, a powerful tool to make your work with Census data easier, and you'll be the first to gain insights into working with the new DHC file.
The second hour covers data analysis and visualization with the 2020 Decennial Census data. Learn how to use tidyverse tools to uncover insights in the new Census data, and create sophisticated data visualizations like population pyramids for your projects using R.
The last 30 minutes were a question-and-answer session where live participants asked a variety of R and tidycensus-related questions.
What you get:
- Unlimited access to the workshop video, so you can learn at your own pace
- An annotated tutorial on analyzing 2020 Census data in R, with insights not found anywhere else
- The Quarto and R source code behind the workshop to help you learn these skills yourselves
About the instructor:
Kyle Walker is an internationally-recognized researcher, consultant, and software developer in the field of spatial data science, and was the 2022 recipient of the Spatial Data Scientist of the Year award from the software company CARTO. He is the author of the book Analyzing US Census Data: Methods, Maps, and Models in R, and has published several popular software packages for spatial data science in R and Python including tidycensus that have been collectively downloaded over 1 million times.
You'll get unlimited access to a 2.5 hour workshop video along with a custom, annotated tutorial on working with 2020 Decennial Census data using R and tidycensus.