The Lineup Lowdown

Every year I go to about ten Minnesota United matches a year. I have season tickets, I keep a pulse on top players, but I have no idea about the opposing team beyond their star players. I don’t know if they have a good defense, or a good offense. I don’t know who is on […]

The #FutureZen Compliment

A number of times I’ve been paid the compliment of being told that I am worthy of the Tableau Zen Master title. It’s an amazing compliment, but sometimes I don’t feel worthy of such compliment. Here’s why: It’s the season for nominating individuals who a title that recognizes individuals for their contributions to the Tableau […]

My #YearInTableau2017

I've used Tableau just a little this year and I thought I'd share my year in Tableau AKA #DataMemories AKA #YearInTableau2017. To start the year I had simple goals when it came to all things Tableau. I'll get to those later. WARNING: THIS CHAIN IS NOT FOR THE FAINT HEARTED! 1/ — Luke Stanke 📊 […]

Creating orthographic maps (globe-like maps) in Tableau is easier than it seems.

Finished #eclipse2017 visual. Wasn't too hard. Here's image and @tableaupublic link. (tech⚠️: ~400K marks) https://t.co/kiHOp7zztW pic.twitter.com/3hyiwXLfaz — 📊 (@lukestanke) October 17, 2017 I recently put together a an orthographic map (globe-like map) of eclipse patterns visualization in Tableau that initially seems impossible to create. My inspiration was the dynamic globe built in D3.js by the […]

Sports Analytics Mirrors Real Life: My Big Takeaways from SSAC17

Last weekend I finished up my first Sloan Sports Analytics Conference. For many in the analytics world this attending means running into big-name sports analytics figures: Bill James, Jessica Gelman, Nate Silver, Bill Barnwell, and Daryl Morey, to name a few. And while the conference boasts big names that packed very large auditoriums, there were […]

Recent NFL History

Please be patient: loading every play from every game since 2002. Trust me, its worth the wait!

13 Tips for Growing Data Science Teams

I recently presented to a local organization on setting/scaling up data science teams. We had a thoughtful one-hour conversation about the pseudo-prerequisites to accelerating the adoption of data science within an organization. Our conversation kept coming back to the same point: data scientists are a magnifying glass for an organization – whether if an organization […]