Can multivariate modeling predict taste of wine? Beyond human intuition and univariate reductionism

Taste of Wine vs. Data Science from Takashi J OZAKI

At a certain meetup on the other day, I talked about a brand-new relationship between taste of wine (i.e. professional tasting) and data science. This talk was inspired by a book "Wine Science: The Application of Science in Winemaking". Below is its Japanese edition.

新しいワインの科学

For readers who can't read Japanese, I summarized the content of the talk in this post. Just for your information, I myself am a super wine lover :) and I'm also much interested in how data science explain taste of wine.

In order to run analytics below, I prepared an R workspace in my GitHub repository. Please download and import it into your R environment.

(Note: All quotes from Goode's book here are reversely translated from the Japanese edition and it may contain not a few difference from the original version)