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Exercise

Visualizing the difference

Before you start running hypothesis tests, it's a great idea to perform some exploratory data analysis. That is, calculating summary statistics and visualizing distributions.

Here, you'll look at the proportion of county-level votes for the Democratic candidate in 2012 and 2016, dem_votes_potus_12_16. Since the counties are the same in both years, these samples are paired. The columns containing the samples are dem_percent_12 and dem_percent_16.

dem_votes_potus_12_16 is available; dplyr and ggplot2 are loaded.

Instructions 1/3
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  • View the dem_votes_potus_12_16 dataset.
  • Mutate dem_votes_potus_12_16 to add a diff column containing the percentage of votes for the democratic candidate in 2012 minus the votes for the democratic candidate in 2016.
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