There is a new data mining competition aimed at predicting preferred data mining tools in R via dataists.com. The concept of the competition is to try to determine which R packages are preferred in the R community via their CRAN package librarie...

There is a new data mining competition aimed at predicting preferred data mining tools in R via dataists.com. The concept of the competition is to try to determine which R packages are preferred in the R community via their CRAN package librarie...

After I spoke tonight at the NYC R meetup, John Myles White and Drew Conway told me about this competition they're administering for developing a recommendation system for R packages. They seem to have already done some work laying out... ...

Those who follow the discussions about UHI understand that “nightlights” plays a large role in defining whether or not a station is considered Rural or Urban. In the work of GISS nightlights are determined by looking at the DSMP product. The product is available in 30 arcsecond format. That’s .00833 degrees. The following issue arises.

I just did this for what will hopefully be a book chapter on our Divided Education – Divided Citizens research project with NEPC. Explanation further below for anyone more interested in the actual topic About the graphic: I like raw-data plots like this, made possible by Hadley Wickhams’s amazing ggplot2 package for the stats package

On Dataists, a new collaborative blog for data hackers that I’m contributing to, we’ve just announced a data contest that’s custom made for R users. To win the contest, you need to build a recommendation system for R packages. To find out more, check out the official announcement on Dataists. Then go to GitHub to

by John Myles White and Drew Conway Editors’ Note: One theme likely to recur on dataists.com is that data hackers love using their tools to analyze, visualize, and predict everything. Data hackers also love discovering and learning about new tools. So it should come as no surprise that Dataist contributors John Myles White and Drew

This is Part 1 of a five-part article series, with new parts published each Thursday. You can download the complete article from the Revolution Analytics website. How Did a Statistical Programming Language Invented in New Zealand Become a Global Sensation? Much in the same way that social networking, reality TV and craft beer were considered marginal fads before gaining...

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