Proc Fastclus Is Going to be Useful

This week in learning SAS we began working with Proc Fastlclus - a procedure to group data together by two or more variables. This is particularly useful for data that has little linear relationship. Once you've identified clusters it helps to find similar characteristics among the clusters to aid in predicting outcomes for other observations … Continue reading Proc Fastclus Is Going to be Useful

It’s all in how you look at it…

I mentioned SAS macros a couple of weeks ago and how I thought they'd be helpful. And they are, tremendously. But I don't think I understood when we were told, "they're kind of like function-lite." It was a little confusing because they have the structure of a function and they seemed to behave mostly like … Continue reading It’s all in how you look at it…

NCAA KenPom Efficiency Rankings Updated

I've updated my chart with the latest KenPom rankings AND I've now added the past NCAA Champions (2002-2018) as diamonds on the chart. It really stands out now that past champions have always had an efficiency margin of greater than 20 - or to the right of the green line. In fact, of the 17 … Continue reading NCAA KenPom Efficiency Rankings Updated

Even more NCAA Hoops Fun

In addition to the ncaahoopR package in R, I had also been working on building a plot using Ken Pomeroy's efficiency ratings. And voila! Here it is.  Unfortunately, WordPress doesn't support the embedded interactive graphic. But if you visit my site on Plotly you'll get the full experience. What I've Done I've written an R … Continue reading Even more NCAA Hoops Fun