Beer-in-Hand Data Science

Amanda Dobbyn

First things first

Who am I?

UChicago '15 uchi_ultimate ^ Angela not yet pictured

First things first


Where's the code?

https://github.com/aedobbyn/beer-data-science

  • Markdown writeup in /compile
  • Shiny app in /clusterfun
  • Step-by-step scripts for getting and munging data in /run_it
  • This presentation in /present


writeup

How did this come about?

  • Typical Friday afternoon office conversation
    • How do you architect the ideal beer flavor profile visualizer?
      • In particular, how do you represent “hoppy, for a Kölsch”?


  • Does the style Kölsch even describe a well-defined beer sub-group?
    • Would it be reliably distinguishable from non-Kölschs in a blind taste test?

How did this come about?

Beer == water + malted barley + hops + yeast +

sometimes other stuff like fruit


  • We categorize it into different styles based on
    • Type and ratio of ingredients
    • How the beer is made (e.g., how long and at what temperature it's brewed)
    • Regional and historical differences

How did this come about?

BUT

  • How well do styles actually demarcate the beer landscape?
    • Is there actually more inter-style variation than intra-style variation?
    • Is there a more empiricially clean way to categorize beers into super-groups?

In other words, we're asking: are beer styles just a social construct?

The Order of Things, theoretically