Clusters of single malt Scotch whiskies

Posted to Statistics  |  Tags: , ,  |  Nathan Yau

Luba Gloukhov of Revolution Analytics used k-means clustering to find groups of single malt Scotch whiskies. Because you know, New Year’s morning is when whisky is on everyone’s mind.

The first time I had an Islay single malt, my mind was blown. In my first foray into the world of whiskies, I took the plunge into the smokiest, peatiest beast of them all — Laphroig. That same night, dreams of owning a smoker were replaced by the desire to roam the landscape of smoky single malts.

As an Islay fan, I wanted to investigate whether distilleries within a given region do in fact share taste characteristics. For this, I used a dataset profiling 86 distilleries based on 12 flavor categories.

The result is essentially a mini recommendation system for the fine liquor, and the code is there, so you can see how it works.

Favorites

Pizza Place Geography

Most of the major pizza chains are within a 5-mile radius of where I live, so I have my pick, …

Think Like a Statistician – Without the Math

I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.

10 Best Data Visualization Projects of 2015

These are my picks for the best of 2015. As usual, they could easily appear in a different order on a different day, and there are projects not on the list that were also excellent.

How You Will Die

So far we’ve seen when you will die and how other people tend to die. Now let’s put the two together to see how and when you will die, given your sex, race, and age.