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October 12, 2016 15:41
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Map of states that switched between Trump/Clinton if genders voted separately
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# Which states changed colors here: | |
# http://fivethirtyeight.com/features/election-update-women-are-defeating-donald-trump/ | |
library(ggplot2) | |
library(maps) | |
library(mapproj) | |
library(dplyr) | |
# Load map of us data | |
all_states <- map_data("state") | |
# Define data frame of states that switched color | |
states <- all_states$region %>% | |
unique() %>% | |
sort() %>% | |
setdiff(c("district of columbia","alaska", "hawaii")) | |
switch_states <- c( | |
"new hampshire", "pennsylvania", "ohio", "virginia", "indiana", "michigan", "arizona", "nevada", | |
"montana", "colorado", "texas", "south dakota", "kansas", "missouri", "iowa", | |
"wisconsin", "florida", "georgia", "south carolina", "north carolina", "minnesota" | |
) | |
switch <- data_frame( | |
state = states, | |
switch_state = is.element(states, switch_states) | |
) | |
# Create two separate maps | |
all_states <- all_states %>% | |
left_join(switch, by=c('region'='state')) | |
all_states_sub <- all_states %>% | |
filter(switch_state) | |
ggplot() + | |
geom_polygon(data=all_states_sub, aes(x=long, y=lat, group = group), fill="cyan" ) + | |
geom_path(data=all_states, aes(x=long, y=lat, group = group), colour="black" ) + | |
coord_map() + | |
labs(title="States that Switched Between Genders") |
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