This post really… is just the setup for an embedded 6-minute video. But, it actually hits on quite a number of topics. At the core: Using a statistical method to objectively determine ...... Continue »

One of the benefits of programming with data — with a platform like R — is being able to get a computer to run through mind-numbing and tedious, but useful, ...... Continue »

Okay. I admit it. That’s a linkbait-y title. In my defense, though, the only audience that would be successfully baited by it, I think, are digital analysts, statisticians, and data ...... Continue »

This is the third post in a three-post series. The earlier posts build up to this one, so you may want to go back and check them out before diving in ...... Continue »

In my last post, I laid out that I had been working on a bit of R code to answer three different questions in a way that was repeatable and ...... Continue »

This is the first of three posts that all use the same base set of configuration to answer three different questions: How do my key metrics break out across two different ...... Continue »

Raise your hand if you’re running Adobe Analytics on your site. Okay, now keep your hands up if you also are running Google Analytics. Wow. Not very many hands went down ...... Continue »

Are you hearing more and more about R and wondering if you should give it a closer look? If so, there is a new resource in town: dartistics.com! The site is ...... Continue »

The question asked in this post started out as a simpler (and more bold) question: “Is data science the future of digital analytics?”  It’s a question I’ve been asking a lot, ...... Continue »

It’s been a a couple of months since I posted about my continued exploration of R. In part, that’s because I found myself using it primarily as a more-powerful-than-the-Google-Analytics-Chrome-extension access ...... Continue »