Naomi Robbins is running a graph makeover challenge over at her Forbes blog and this is my entry for the B2B/B2C Traffic Sources one (click for larger version):

And, here’s the R source for how to generate it:

library(ggplot2)
 
df = read.csv("b2bb2c.csv")
 
ggplot(data=df,aes(x=Site,y=Percentage,fill=Site)) + 
  geom_bar(stat="identity") + 
  facet_grid(Venue ~ .) + 
  coord_flip() + 
  opts(legend.position = "none", title="Social Traffic Sources for B2B & B2C Companies") + 
  stat_bin(geom="text", aes(label=sprintf("%d%%",Percentage), vjust=0, hjust=-0.2, size = 10))

And, here’s the data:

Site     Venue Percentage
Facebook B2B    72
LinkedIn B2B    16
Twitter  B2B    12
Facebook B2C    84
LinkedIn B2C    1
Twitter  B2C    15

I chose to go with a latticed bar chart as I think it helps show the relative portions within each category (B2B/B2C) and also enables quick comparisons across categories for all three factors.