How can I make a multiple bar chart in ggplot2?

Question

I'm struggling a bit with ggplot2 and hoping to learn by example a bit more.

I have a lot of data that looks like like the thing this generates:

data.frame(version=c('v1', 'v1', 'v1', 'v1', 'v2', 'v2', 'v2', 'v2'),
           platform=c('linux', 'linux', 'mac', 'mac',
                      'linux', 'linux', 'mac', 'mac'),
           type=c('a', 'b', 'a', 'b', 'a', 'b', 'a', 'b'),
           count=floor(runif(8, 0, 10000)))

I got regular barplot to draw me a stacked bar chart of type for a given OS (by slicing it out with cast, but I've not quite got what I want with ggplot2 yet.

I can manage to plot a single platform by doing something like this (assuming the above is saved as sample):

qplot(version, a, data=cast(sample[sample$platform=='linux',],
                            version ~ type, value="count"),
      geom='bar')

Ideally, I'd like that stacked by type (explicitly a in this example -- there are only two types) and then have one per platform appear side-by-side on the same chart grouped by version.

That is, for every version, I'd like three bars (one for each platform) with two stacks each (by type).

joran · Accepted Answer · 2011-08-20 21:08:32Z

7

Here's one option:

dat <- data.frame(version=c('v1', 'v1', 'v1', 'v1', 'v2', 'v2', 'v2', 'v2'),
           platform=c('linux', 'linux', 'mac', 'mac',
                      'linux', 'linux', 'mac', 'mac'),
           type=c('a', 'b', 'a', 'b', 'a', 'b', 'a', 'b'),
           count=floor(runif(8, 0, 10000)))


ggplot(data = dat, aes(x = platform, y = count)) + 
    facet_wrap(~version) + 
    geom_bar(aes(fill = type))

which produces something like this:

enter image description here

Your example data only had two platforms, so maybe that was just a typo since you referenced three.

answered Aug 20, 2011 at 21:08

joran

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2 Comments

Dustin Over a year ago

Oh sorry about that. I do have three in my real data, but my sample only had two. Got tiring to type all of the combinations. :) This looks pretty good. I think it may be easier to understand than exactly what I asked for.

joran Over a year ago

@Dustin No problem. This blog has lots of good ggplot2 examples, as does Hadley's site but his book is by far the best reference.

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