Blogs

Let us explain, in 90 seconds:

I can barely get my Ar.Drone to land on the box it came on (I am not a good drone pilot), but these quadrocopters from can frickin' juggle (with thanks to Donnie Berkholz):

Had a great time earlier this week on a Google Hangout as part of the IBM Opinionated Infrastructure series. Moderator James Governor (analyst from RedMonk) kept the conversation lively, with topics ranging from to the value of information to the benefits of predictive analytics and evolution of Hadoop. R gets a mention at several points in the conversation, which you can catch in the replay embedded below.

This guest post is by Tammer Kamel, Founder of Quandl

Finding and formatting numerical data for analysis in R or Excel or indeed any application is a pain that all real world data analysts know all too well.  In aggregate I have probably spent weeks of my life trying to find data on the web.  And several more weeks validating, formatting and cleaning the data.  Analysis offers data scientists interesting, intellectually stimulating problems.  But data acquisition, the necessary precursor, offers only tedium and pain.  It's a time vampire.