Making a dot-density map with ggplot2

In your final exercise of this course, you are going to put together the datasets you've acquired and generated into a dot-density map with ggplot2. You'll plot your generated dots and ancillary datasets with geom_sf(), and add some informative map elements to create a cartographic product.

This exercise is part of the course

Analyzing US Census Data in R

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Exercise instructions

Use geom_sf() to plot your simple features objects.
Plot water and roads features by specifying the objects you've created appropriately.
Use the caption parameter in labs() to give your map an informative caption.

Hands-on interactive exercise

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

# Plot your datasets and give your map an informative caption
___() + 
  ___(___ = dc_boundary, color = NA, fill = "white") + 
  ___(data = dc_dots, ___(color = group, fill = group), size = 0.1) + 
  ___(data = ___, color = "lightblue", fill = "lightblue") + 
  ___(data = ___, color = "grey") + 
  coord_sf(crs = 26918, datum = NA) + 
  scale_color_brewer(palette = "Set1", guide = FALSE) +
  scale_fill_brewer(___ = "Set1") +
  labs(title = "The racial geography of Washington, DC", 
       subtitle = "2010 decennial U.S. Census", 
       fill = "", 
       ___ = "1 dot = approximately 100 people.\nData acquired with the R tidycensus and tigris packages.")

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