beautiful Pie Charts with R

skan picture skan · Nov 8, 2015 · Viewed 40.2k times · Source

Let's say I have this simple data:

 mydata <- data.frame(group=c("A", "B", "0", "AB"), FR=c(20, 32, 32, 16))

If I want to create a pie chart from this dataframe I can do:

 with(mydata,pie(FR, labels=paste0(as.character(group), " ", FR, "%"), radius=1))

basic pie

It's quite simple but acceptable.

How can I get something similar with ggplot2 or lattice?

After much trial and error I've got

ggplot(mydata, aes(x = factor(1), y=FR,fill=factor(group)) ) + geom_bar(width = 1,stat="identity")+coord_polar(theta = "y") 

ggplot

It's much more complex and ugly. Isn't it supposed to be easy? ggplot books only give some examples and discourage from using pie charts.

Lattice is even worse, you need many many lines to get it's scaring.

Could anybody help me top get a nice and simple Pie chart, please? For example something like...

example1

example2

Isn't there any R package able to do it easily, without 20 lines of code?

Answer

Steven Beaupr&#233; picture Steven Beaupré · Nov 8, 2015

Why not a square pie chart ?

devtools::install_github("hrbrmstr/waffle")
library(waffle)

mydata <- c(`A`=20, `B`=32, `0`=32, `AB`=16)
waffle(mydata, title = "Yummy waffle pie!")

enter image description here


If you have multiple dimensions of information, another option could be sunburstR. Using browsers data from @rawr post you could do:

library(sunburstR)
library(dplyr)
library(tidyr)
browsers %>%
  unite(bv, browser, version, sep = "-") %>%
  select(bv, share) %>%
  sunburst(., count = TRUE)

enter image description here

You could use treemap (for an interactive version, try @timelyportfolio's d3treeR package)

library(treemap)
tm <- treemap(
  browsers,
  index=c("browser", "version"),
  vSize="share",
  vColor="share",
  type="value"
)

enter image description here

You could also use a sankey diagram (from the networkD3 package)

library(networkD3)
df <- browsers %>%
  mutate_each(funs(as.character), browser, version) %>%
  mutate(bn = group_indices_(., .dots = "browser"), 
         cn = max(bn) + row_number()) 

links <- select(df, bn, cn, share)
nodes <- data.frame(name = c("", sort(unique(df$browser)), df$version))

sankeyNetwork(Links = links, Nodes = nodes, Source = "bn",
              Target = "cn", Value = "share", NodeID = "name",
              fontSize = 12, nodeWidth = 30)

enter image description here