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With the growing popularity of R, there is an associated increase in the popularity of online forums to ask questions. One of the most popular sites is StackOverflow, where more than 60 thousand questions have been asked and tagged to be related to R.

UseR! 2014, the R user conference held last week in LA, was the most successful yet. Around 700 R users from around the world converged on the UCLA campus to share their experiences with the R language and to socialize with other data scientists, statisticians and others using R.

It's the 4th of July holiday here in the US, and we're taking a break to eat hotdogs, watch fireworks and other essential American activities. So this is a good day to reflect: what is America, anyway? It turns out that the details are a bit complicated...


by Joseph Rickert

UserR! 2014 got under way this past Monday with a very impressive array of tutorials delivered on the day that the conference organizers were struggling to cope with a record breaking crowd. My guess is that conference attendance is somewhere in the 700 range. Moreover, this the first year that I can remember that tutorials were free. The combination made for jam-packed tutorials.

Revolution Analytics, founded in 2007, was the first company devoted to the R project. Since then, we've been behind several R initiatives, including the RHadoop project and the network of R user groups around the world.

The annual worldwide user conference useR! 2014 is underway at UCLA, beginning with a full day of tutorials. This year's useR! conference is a record-breaker with more than 700 attendees, so most of the tutorial sessions have been jam-packed. The tutorials cover a diverse array of R applications: data management, visualization, statistics and biostatistics, programming, and interactive applications.

The editors at DataInformed invited me to write an article about how R is used in business, and I was pleased to oblige. The article, How Companies use R to Compete in a Data-Driven World, is now live and describes how Facebook, The New York Times, X+1, ANZ Bank and many others successfully use R to analyze their data.

Hadley Wickham's been working on the next-generation update to ggplot2 for a while, and now it's available on CRAN.