Mapping Senate winners

There were 33 Senate seats on the ballot in the 2018 midterms (plus two special elections that we'll ignore in this exercise). Your task is to create a choropleth map using the winning candidate's political party to color in the state.

This task requires you to map a factor to the fill color. However, the z aesthetic expects a numeric variable. An easy work around is to convert party to a numeric variable via as.numeric(party) and then manually specify the desired colors in add_trace(). Additionally, the colorbar is no longer very useful, and can be removed by adding the layer hide_colorbar().

The senate_winners data frame and plotly have already been loaded for you.

This exercise is part of the course

Interactive Data Visualization with plotly in R

View Course

Exercise instructions

Create a choropleth map of the where the color of the state represents the winning party.
In add_trace(), manually specify the colors "dodgerblue", "mediumseagreen", and "tomato" (in that order).
Complete the hover info text with the appropriate column names.

Hands-on interactive exercise

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

# Create a choropleth map displaying the Senate results
senate_winners %>%
  plot_geo(locationmode = ___) %>%
  add_trace(___, ___,
    ___ = ___(___, ___, ___),
    hoverinfo = "text",
    text = ~paste("Candidate:", ___, "
",
                  "Party:", ___, "
",
                  "% vote:", round(___, 1))
  ) %>%
  layout(geo = list(scope = 'usa')) %>% 
  hide_colorbar()

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