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.
Cet exercice fait partie du cours
Interactive Data Visualization with plotly in R
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.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de 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()