library(tidycensus)
library(tidyverse)
options(tigris_use_cache = TRUE)
##****************
## Racial composition
##****************
racevars <- c("P0050003", "P0050004", "P0050006", "P0040003")
texas_race_raw <- get_decennial(state = "TX", geography = "county", year = 2010,
variables = racevars, geometry = TRUE,
summary_var = "P0010001")
texas_race <- texas_race_raw %>%
mutate(pct = 100 * (value / summary_value),
variable = fct_recode(variable,
White = "P0050003",
Black = "P0050004",
Asian = "P0050006",
Hispanic = "P0040003"))
devtools::use_data(texas_race, overwrite = TRUE)
texas_race %>%
filter(variable == "White") %>%
ggplot(aes(fill = pct)) +
geom_sf(color = "white") +
coord_sf(datum = NA) +
theme_map() +
#scale_fill_continuous_diverging(palette = "Blue-Red 3",
scale_fill_continuous_carto(palette = "Earth",
mid = 50,
limits = c(0, 100),
breaks = 25*(0:4),
name = "% white") +
theme(legend.title.align = 0.5,
legend.text.align = 0)
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