Introduction

The purpose of this graph is to show the percentage of votes cast for Former President Donald Trump in the greater Jacksonville area. For this project, the Jacksonville area includes Duval, St. Johns, and Clay counties.

The data was retrieved from the UF election lab and is broken down by precinct. The following commands show how I manipulated the data as I worked towards my final product:

fl_jax <- fl_2020 |>
  filter(COUNTY %in% c("CLA", "DUV", "STJ"))

fl_jax_vote <- fl_jax |>
  mutate(vote_share = (G20PRERTRU) / (G20PRERTRU + G20PREDBID))

fl_jax_vote <- st_make_valid(fl_jax_vote)

Result

The graph below shows the three target counties and is color coded to show the percentage of votes for the Former President in the 2020 election. The odd shape on the eastern coast is explained by St. Johns county’s precinct districts extending into the ocean which is common in the state of Florida.

By County

I have chosen to include a closer look at the three individual counties as I feel that political actors or campaigns in each may find this information interesting. Precinct districts that are lighter or white indicate more competitive areas that may be important for narrow elections.