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The tagline for O'Reilly Strata conference series — Making Data Work — has meant that it's always been popular with practitioners, primarily data scientists working with Big Data in real-world environments. Recent Strata events have also attracted more business-oriented attendees, with events focused more on processes and outcomes than on the implementation details. 

If the scores are tied in this weekend's Super Bowl and the game rests on the outcome of a field goal attempt, the chart below will tell you the chances of the goal being made. All you need to know is the distance of the kick:

This version of R.E.M.'s 1991 hit Losing my Religion has been digitally reworked so that the music and lyrics are in a major scale instead of the usual minor scale:

If you weren't one of the almost 2000 people who signed up for yesterday's webinar "Using R with Hadoop", the replay and slides are now available. During the webinar, Jeffrey Breen (Principal at Think Big Academy) talked about extracting analytics from data in Hadoop and covered:

The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full January edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email.

Data Scientist John Myles White used R to compare life expectancy and retirement age in the USA. While male (red) and female (green) life expectancies are rising, average retirement age is going down. What this means for the future of benefit programs like Social Security is the topic of an interesting series of comments on the post.

In today's social world, it's important to be able to collaborate with others online when working with data, and to be able to easily share your outputs online. Fortunately, the R language and the broad R community provides a number of facilities for collaboration and sharing, which are summarized in Noam Ross's guide to tools for collaboration with R. Among the resources he lists:

In the sponsored article Data Science: Buyer Beware at Forbes, SAP's Ray Rivera takes a dim view of Data Science. According to Rivera, Data Science is a "management fad" in the mold of Business Process Reengineering, and casts data scentists as self-ordained "gurus" whose mission is to stand between the "ignorant masses" that need access to data and a company's valuable data stores.

This video tour of the International Space Station from NASA commander Sunny Williams (via Andrew Sullivan) is just amazing: