I'm trying to modify @DaveArmstrong 's answer to
CodePudding user response:
Adding my own solution after playing around with the answer from another question that @tjebo provided:
d2 <- d %>%
select(question1, question2, question3) %>%
pivot_longer(everything(), names_to = "question", values_to = "vals") %>%
group_by(question, vals) %>%
tally() %>%
group_by(question) %>%
mutate(pct = n/sum(n), race = "All")
d3 <- d %>%
pivot_longer(-race, names_to = "question", values_to = "vals") %>%
group_by(question, race, vals) %>%
tally() %>%
group_by(question, race) %>%
mutate(pct = n/sum(n))
bind_rows(d2, d3) %>%
ggplot(aes(x=race, y=pct, fill=as.factor(vals)))
geom_bar(position="dodge", stat="identity")
facet_wrap(~question)
scale_y_continuous(labels = scales:::percent)
labs(x="",
y="Percentage",
fill="Response")
theme_bw()
theme(legend.position = "top",
panel.grid = element_blank(),
axis.text.x = element_text(angle = 45, hjust=1))