Changing font size and direction of axes text in ggplot2

Question

I am plotting a graph with a categorical variable on the x axis and a numerical variable on the y axis.

For the x axis, given that there are many data points, the de

Answer 1

When making many plots, it makes sense to set it globally (relevant part is the second line, three lines together are a working example):

   library('ggplot2')
   theme_update(text = element_text(size=20))
   ggplot(mpg, aes(displ, hwy, colour = class)) + geom_point()

Answer 2

Ditto @Drew Steen on the use of theme(). Here are common theme attributes for axis text and titles.

ggplot(mtcars, aes(x = factor(cyl), y = mpg))+
  geom_point()+
  theme(axis.text.x = element_text(color = "grey20", size = 20, angle = 90, hjust = .5, vjust = .5, face = "plain"),
        axis.text.y = element_text(color = "grey20", size = 12, angle = 0, hjust = 1, vjust = 0, face = "plain"),  
        axis.title.x = element_text(color = "grey20", size = 12, angle = 0, hjust = .5, vjust = 0, face = "plain"),
        axis.title.y = element_text(color = "grey20", size = 12, angle = 90, hjust = .5, vjust = .5, face = "plain"))

Answer 3

Use theme():

d <- data.frame(x=gl(10, 1, 10, labels=paste("long text label ", letters[1:10])), y=rnorm(10))
ggplot(d, aes(x=x, y=y)) + geom_point() +
    theme(text = element_text(size=20),
        axis.text.x = element_text(angle=90, hjust=1)) 
#vjust adjust the vertical justification of the labels, which is often useful

There's lots of good information about how to format your ggplots here. You can see a full list of parameters you can modify (basically, all of them) using ?theme.

Answer 4

Using "fill" attribute helps in cases like this. You can remove the text from axis using element_blank()and show multi color bar chart with a legend. I am plotting a part removal frequency in a repair shop as below

ggplot(data=df_subset,aes(x=Part,y=Removal_Frequency,fill=Part))+geom_bar(stat="identity")+theme(axis.text.x  = element_blank())

I went for this solution in my case as I had many bars in bar chart and I was not able to find a suitable font size which is both readable and also small enough not to overlap each other.

Answer 5

Another way to deal with overlapping labels is using guide = guide_axis(n.dodge = 2).

library(dplyr)
library(tibble)
library(ggplot2)

dt <- mtcars %>% rownames_to_column("name") %>% 
  dplyr::filter(cyl == 4)

# Overlapping labels
ggplot(dt, aes(x = name, y = mpg)) + geom_point()

ggplot(dt, aes(x = name, y = mpg)) + geom_point() +
  scale_x_discrete(guide = guide_axis(n.dodge = 2))

Answer 6

Use theme():

d <- data.frame(x=gl(10, 1, 10, labels=paste("long text label ", letters[1:10])), y=rnorm(10))
ggplot(d, aes(x=x, y=y)) + geom_point() +
theme(text = element_text(size=20))