As discussed in this lesson, Census data comprise thousands of variables available across dozens of geographies! Most of these geography-variable combinations are accessible with tidycensus; however, it helps to understand the package options.

Some data, like Census tracts, are only available by state, and users might want to subset by county; tidycensus facilitates this with state and county parameters when appropriate. Additionally, tidycensus includes the Census variable ID in the variable column; however, a user might want to supply her own variable name, which can be accomplished with a named vector.

You'll be using the Census variable B19013_001 here, which refers to median household income.

Visualizing Census data with ggplot2

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