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The presentation below by Carlos Somohano (founder of Data Science London) provides the best description of a Data Scientist that I've seen in some time:

Highlights include:

by Thomas Dinsmore

This is the third in a series of posts highlighting new features in Revolution R Enterprise Release 6.2, which is scheduled for General Availability April 22.  This week's post features our new Stepwise Regression capability.

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

You may think your simulations take a long time to run, but this one's been running for 200 years: (click to enlarge) 

If you're laying down a friendly bet on the March Madness games or just tweaking your fantasy roster, this NCAA Data Visualizer by Rodrigo Zamith will be a boon. Just choose two teams to compare head-to-head, choose an attribute to compare them on. You can look at more than a dozen invividual player attributes (e.g. points scored, assists, 3-point shots made) or over 20 team attributes (e.g.

When I lived in Paris years ago, I worked near Gare du Nord, but my friend Jenny lived near République. If we wanted to meet up after work, we'd just meet halfway along the Orange Métro line, around Gare de l'Est. Easy. Since that's within walking distance we wouldn't actually take the Métro, but Métro stations are useful waypoints in Paris even if you're travelling by foot.

by Thomas Dinsmore

Last week, Revolution Analytics released the Limited Availability edition of Revolution R Enterprise Release 6.2.  Interest in this new release is high, and we're very pleased with user response. Over the next several weeks, I will share more detailed information about the capabilities included in this new release.

If you missed last week's broadcast of the webinar Revolution R Enterprise: 100% R and More, I've embedded the replay below. If you're not familiar with the power, productivity and enterprise readiness that Revolution R Enterprise brings to open source R, this is a good place to start.


Slides from the webinar and a downloadable video of the replay are also available at the link below.

I thought this was such a lovely story. Mike Mika introduced his daughter to the Nintendo arcade classic Donkey Kong, but she was disappointed that he had to play as Mario. Why couldn't she play as the princess, and save Mario from the dreaded ape? Mike is apparently the best dad ever, because he hacked the Donkey Kong ROM (using Tile Layer Pro) to swap the Mario and Princess roles.