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In case you missed them, here are some articles from May of particular interest to R users:

Billions of geotagged Tweets create a beautiful map of the world when plotted with the ggmap package.

I've been on the hunt for new music recently, and I'm enjoying Daft Punk's latest album, Random Access Memories. The disco vibe that runs through the album is refreshing, so this fan-made music video is just perfect. It sets the music "Lose Yourself to Dance" to scenes from the 70's TV classic Soul Train:

 

I grew up in Australia, where I learned to speak English. Or so I thought: when I moved overseas to the UK, and especially when I moved to the States, I soon learned these are distinct cultures separated by a common language. Words which I previously had no context for being different anywhere else, such as "runners" ("sneakers"), "lemonade" (Sprite — is there even a generic name for this?) and "rubber" (eraser), were met with blank stares, confusion or even guffaws. 

The results of the 2013 KDNuggets software poll are in, with RapidMiner and R in a near-tie for first place. Of a record 1880 respondents, 737 reported using Rapid-I RapidMiner/RapidAnalytics, and 704 reported using R. Excel came in third: with 527 respondents, it was the lone commercial tool in the top 5. You can see the top 10 responses in the table below.

Today, Singapore is an Asian hub for computing infrastructure and a leader in Big Data development. So we're proud to announce in conjunction with Dell and Intel the launch of a new Big Data Innovation center located at the Dell Solution Center in Singapore.

If you're thinking about starting a project (for example, a report or paper) using the R language for analysis, the Nice R code blog has some great advice. Following the principles of reproducible research, Macquarie University postdocs Rich FitzJohn and Daniel Falster suggest:

What happens when you plot billions of geotagged Tweets on a map? You can see the arteries of the world. Here's Europe:

by Joseph Rickert

In a post last week, I offered some first impressions about R/Finance 2013. Apparently, I was way off in estimating that 30% of the attendees were academics. The R/Finance organizers were quick to point out that percentage of academics attending the conference has been a constant 10% over the years; and this year was no different. Why is this important?