beer.tasting.notes: Personal beer tasting notes

Description Usage Format Author(s) Source References

Description

Tasting notes, preferences, breweries and styles of 38 different craft beers from various breweries, across various styles.

Usage

1

Format

A list called 'beer.tasting.notes' with 10 matrices:

data

Data matrix. Tasting notes (ratings) of 38 different beers (rows) described by 16 different flavor profiles (columns).

sup.data

Supplementary data matrix. ABV and overall preference ratings of 38 beers described by two features (ABV & overall) in original value and rounded value.

brewery.design

Design matrix. Source brewery of 38 different beers (rows) across 26 breweries (columns).

style.design

Design matrix. Style of 38 different beers (rows) across 20 styles (columns) (styles as listed from Beer Advocate website).

superordinate.styles

Supplementary data matrix. Style of 38 different beers (rows) across 8 "superordinate" styles.

city.design

Supplementary data matrix. Style of 38 different beers (rows) across 18 cities of origin.

region.design

Supplementary data matrix. Style of 38 different beers (rows) across 5 regions of origin.

inspired.style

Supplementary data matrix. Style of 38 different beers (rows) across 6 styles that inspired these beers.

pale.sour.style

Supplementary data matrix. Style of 38 different beers (rows) across 4 styles to capture if it is pale, sour, a saison, or "miscellaneous".

physical.distances

Data matrix. Square symmetric distance matrix of 29 different beers (rows) from data that reflect the physical distance—as the Nazgul flies—between each beer (by brewery).

Author(s)

Jenny Rieck and Derek Beaton

Source

Jenny Rieck and Derek Beaton laboriously “collected” these data for “experimental purposes”.

References

http://www.beeradvocate.com


derekbeaton/GSVD documentation built on Jan. 2, 2021, 9:21 p.m.