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Visualizing Data

ggplot2 themes examples

This short post is exactly what it seems: a showcase of all ggplot2 themes available within the ggplot2 package. I was doing such a list for myself (you know that feeling …”how would it look like with this theme? let’s try this one…”) and at the end I thought it could have be useful for my readers. At least this post will save you the time of trying all different themes just to have a sense of how they look like.
Enjoy!

theme_bw()

theme_bw

theme_classic()

theme_classic

theme_dark()

theme_dark

theme_gray()

theme_gray

theme_grey()

theme_grey

theme_light()

theme_light

theme_linedraw()

theme_linedraw

theme_minimal()

theme_minimal

Bonus Track: The Code

Since copy and pasting and right-clicking 9 times to produce all the plots was definitely not acceptable, I wrote a small function to dynamically create and save a png file with different name and content. thank to Marcin Kosiński for the contribution (see comments)

library(dplyr)
library(ggplot2)

create_file_and_plot = function(name){
  path = paste(getwd(),"/",name,".png",sep = '') %>% 
         file.path() %>% 
         png(,width=960,height=480)
         eval(parse(text=paste0("print(ggplot(data=diamonds, aes(carat,price ))+ geom_point(aes(colour=  color))+", name,"())")))
  dev.off()
}

sapply(c("theme_bw", "theme_dark"), create_file_and_plot)

Final notes

Inner ggplot2 structure allows for a nearly infinite number of customizations and extensions.You can have a sense of what I am talking about looking at ggplot2 extensions website or to the ggthemes package vignette by the package author Jeffrey B. Arnold.