Too many factors on x axis
ggplot2, r
Solution
You can flip the values.
ggplot(data.frame(x=factor(trunc(runif(10000, 0, 100)), ordered=T)), aes(x=x)) +
theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
geom_histogram()
flip <- ggplot(data.frame(x=factor(trunc(runif(10000, 0, 100)), ordered=T)), aes(x=x)) +
theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
geom_histogram()
If it's still too dense for your taste, you can set manual breaks. In this case, I use five.
prune <- ggplot(data.frame(x=factor(trunc(runif(10000, 0, 100)), ordered=T)), aes(x=x)) +
theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
scale_x_discrete(breaks = seq(0, 100, by = 5)) +
geom_histogram()
library(gridExtra)
grid.arrange(flip, prune)
Problem
What's the best way to deal with too many factors in a plot, assuming that the factor variable is ordered? The default doesn't look nice: ``` ggplot(data.frame(x=factor(trunc(runif(10000, 0, 100)), ordered=T)), aes(x=x)) + geom_histogram() ```