Creating Olympic Medal Treemap Visualisations Using OTS R Libraries

[This article was first published on OUseful.Info, the blog... » Rstats, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

In London Olympics 2012 Medal Tables At A Glance? I posted some treemap visualisations of the Olympics medal tables generated using a Google Visualisation Chart treemap component. I thought it might be worth posting a quick R generated example too, using the off-the-shelf/straight out of CRAN treemap component. (If you want to play along, download the data as CSV from here.)

The original data looks like this:

but ideally we want it to look like this:

I posted a quick recipe showing how to do this sort of reshaping in Google Refine, but in R it’s even easier – just melt the Gold, Silver and Bronze columns into a pair of columns…

Here’s the full code to do the reshaping and generate a simple treemap:

#load in the data from a file
odata = read.csv("~/Downloads/nbc_olympic_medalscrape.csv")

#Reshape the data
require(reshape)
odatar=melt(odata,id=c('cc','ccevent','Event'))

#And generate the treemap in the simplest possible way
require(treemap)
tmPlot(odatar, 
       index=c("cc", "Event","variable"), 
       vSize="value", vColor='value',
       type="value")

And here’s the treemap:

Generating variant views (I described six variants in the original post) is easy enough – just tweak the order of the elements of the index setting. (I should have named the melt created columns something more sensible than the default, shouldn’t I? Note that the vSize and vColor value value (sic) refers to the column name that identifies the medalType column. The type value says use the numerical value…. (i.e. it’s literal – it doesn’t refer to a column name…)

Out of the can – simples enough… So what might we be able to do with a little bit more treatment? Examples via the comments, please 😉

To leave a comment for the author, please follow the link and comment on their blog: OUseful.Info, the blog... » Rstats.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)