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David Smith's picture
November 27, 2013

by Joseph Rickert

In this roundup of R-related news: Domino enables data science collaboration; Plotly adds an R graphics gallery; Revolution Analytics R user group sponsorship applications are open; and Quandl adds new data sets.

The twitteR package, released back in 2010, has long provided the means to access and analyze your Twitter social network data with R. But until recently, there hasn't been anything comparable for the Facebook social network.

It's pretty easy (and free!) to download R and install it on your own PC, Mac or Linux machine, but if you don't have one of those or simply aren't ready to commit to installing it, you can now try it out online. R-Fiddle (from DataMind) provides an easy-to-use interactive R console that you can run from your browser. Here's an example:

Here's a video that combines two of my favourite things: parkour videos, and Mario. Check it out:

 

Some impressive moves and some impressive CGI in that video. (Although Mario really needs a hat-pin!)

That's all for this week — see you on Monday. 

It's no coincidence that while the usage of the R language is skyrocketing (as shown in the recent Rexer Analytics and KDNuggets polls), the growth in data scientist jobs is also

According to the icrunchdata Big Data Job Index, there are currently 81,836 job postings for data science jobs. Co-founder of icrunchdata Todd Nevins tells me via email that's a 30% increase in listings compared to three months ago. Demand is strong in all Big-Data related areas, with 468,628 open Big Data jobs generally (up 31% compared to 3 months ago), and 62,534 Statistics jobs. 

If you learned statistics using  Stata software but have an interest in learning the R language, it's worth checking out R~Stata: Notes on Exporing Data by Princeton's Oscar Torres-Reyna.

Iterators — object-oriented programming constructs that act as a pointer in an ordered sequence — are familiar to programmers of languages like Python, but are not a standard part of the R language. Nonetheless, by installing the iterators package (an open-source contribution by Revolution Analytics) you can create and manipulate iterator objects in R.