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  3. Analyzing US Census Data in R
  • 1

    Census data in R with tidycensus

    Free

    In this chapter, students will learn the basics of working with Census data in R with tidycensus. They will acquire data using tidycensus functions, search for data, and make a basic plot.

  • 2

    Wrangling US Census Data

    In this chapter, students learn how to use tidyverse tools to wrangle data from the US Census and American Community Survey. They also learn about handling margins of error in the ACS.

  • 3

    US Census geographic data in R

    In this chapter, students will learn how to work with US Census Bureau geographic data in R using the tigris R package.

  • 4

    Mapping US Census Data

    In this chapter, you will learn how to obtain feature geometry with the tidycensus package, and use ggplot2 and mapview to make customized static and interactive maps of US Census data.

Initializing

Exercise

Making a choropleth map

Choropleth maps, which visualize statistical variation through the shading of areas, are among the most popular ways to map demographic data. Census or ACS data acquired with tidycensus can be mapped in this way in ggplot2 with geom_sf using the estimate column as a fill aesthetic. In this exercise, you'll make a choropleth map with ggplot2 of median owner-occupied home values by Census tract for Marin County, California.

Instructions

100 XP
  • Initialize the ggplot object.
  • Set the polygon fill to the estimate column.
  • Map your data with geom_sf().