Faceted maps with ggplot2

One of the most powerful features of ggplot2 is its support for faceted plotting, in which multiple plots are generated for unique values of a column in the data. Faceted maps can be produced with geom_sf() in this way as well if tidycensus data are in tidy format. In this exercise, you'll produce faceted maps that show the racial and ethnic geography of Washington, DC from the 2010 decennial Census.

This exercise is part of the course

Analyzing US Census Data in R

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Exercise instructions

Check the first few rows of the pre-loaded dc_race dataset to view its structure.
Set the datum to NA to remove gridlines behind the maps.
Use facet_wrap() to create separate maps for unique values in the variable column of your dataset.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Check the first few rows of the loaded dataset dc_race
head(___)

# Remove the gridlines and generate faceted maps
___(___, aes(fill = percent, color = percent)) + 
  ___() + 
  coord_sf(___ = NA) + 
  ___(~variable)

Edit and Run Code