There might have been a time in life when you would’ve had some Single Malt whisky and thought that it “doesn’t taste like any other”. In fact, you might have noticed that some single malt whiskies are more distinct than others. It is possible you might want to go on a quest to find the most unique single malts, but given that single malts are expensive and not easily available, some data analysis might help.
There is this dataset of 86 single malts that has been floating about the interwebs for a while now, and there is some simple yet interesting analysis related to that data – for example, check out this simple analysis with a K-means clustering of various single malts. They use the dataset (which scores each of the 86 malts on 12 different axis) in order to cluster the malts, and analyze which whiskies belong to similar groups.