R 多箱线图可视化

Question

I have data in a csv consisting of more than 4000 entries and a glimpse of the data in it looks like this:

Variant Metric        Value
I       Accuracy    76.14708
I       F-measure   0.87
II      Accuracy    76.23548
III     Accuracy    76.07839
IV      Time        0.56

As the metrics are on a different scale I am unable to get a proper view of the box plots for time and f-measure metrics:

The R code is as follows:

df <- read.csv("NBboxplot.csv", header=T)
require(ggplot2)
p <- ggplot(data = df, aes(x=Variant, y=Value)) + 
  geom_boxplot(aes(fill=Metric))
p + facet_wrap( ~ Variant, scales="free")

Any clue towards better visualization?

Answer 1

I would change the facet to Metric , as these are on drastically different scales:

p <- ggplot(data = df, aes(x=Variant, y=Value)) + 
  geom_boxplot(aes(fill=Metric)) + 
  facet_wrap(~Metric, scales="free")