Winners of Mozilla Open Data Competition announced

January 12, 2011

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

The winners of the Mozilla Open Data Visualization competition "How Do People Use Firefox" have been announced. The competition attracted 32 entries, each visualizing an aspect of data collected in the Mozilla Test Pilot program to reveal insights about how people use the popular open-source browser Firefox.

I was honoured to be asked to participate in the judging of this competition, and I was quite impressed by the calibre of the submissions. The entries ranged from broad-ranging interactive applications to query and visualize the Test Pilot data on demand, to targeted visualizations of specific behaviours revealed in the data, to fun infographics highlighting interesting nuggets from the data set. 

Congratulations go in particular to the winner, James Fiedler, for his custom interactive application comparing the behavior of survey respondents to participants in the Test Pilot program as a whole — a tool that effectively addresses a very important comparison in the data (especially if the Mozilla designers were to draw conclusions from the survey data alone). I'd also like to give a special shout-out to finalist Tom Haynes, creator of this elegant and succinct chart of a week in the lives of Firefox users:

Tom created the chart above using SQL, Python, R and Illustrator. In fact, one aspect of the competition that really jumped out at me as I was reviewing the entries was how large the ecosystem for visualization tools was: every entrant seemed to use a different combination of tools. Since this is an R blog though, I'd also like to highlight a few of the other entries that also used R for their visualizations:

Congratulations go to all the participants for a job well done. If you've got a few minutes, browse all the entries for some other great visualizations.

Blog of Metrics: Mozilla Open Data Competition – Announcing the Winners

To leave a comment for the author, please follow the link and comment on their blog: Revolutions. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags: , ,

Comments are closed.

Search R-bloggers


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)