This is what the bar chart from the previous exercise looks like:
It's okay, but it could be better. We want to know right away which group has the most observations, and that's not easy with the current layout. Let's order the factor levels using the forcats function fct_infreq(). It sorts factor levels by how frequently they occur in the data set. We simply put:
fct_infreq(survey$age)
in the aes() argument and put the column name inside fct_infreq(), like this:
ggplot(survey, aes(fct_infreq(age))) +
geom_bar() + coord_flip()
Using ggplot(), geom_bar(), coord_flip(), and fct_infreq(), plot the number of people in each marital status category. Use the mrt_status column from survey.
Type:
ggplot(survey, aes(fct_infreq(mrt_status))) + geom_bar() + coord_flip()
