I created this data with my own 10+ years of Beer Brewing Experience.
In this dataset, there are the following columns:
Brew No. - Batch Id number
OG- Original Gravity (amount of fermentable sugar present in wort before fermentation)
ABV - Alcohol by volume in final beer before packaging
pH - is a measure of how acidic/basic beer is before packaging
IBU - is an abbreviation for the International Bitterness Units scale, a gauge of beer's bitterness
style -is a term used to differentiate and categorize beers by various factors, including appearance, flavour, ingredients, production method, history, or origin. In the dataset, we have 3 beer styles.
- IPA - India pale ale (IPA) is a hoppy beer style within the broader category of pale ale.
- Light Lager - Light beer is a beer, usually a pale lager, that is reduced in alcohol content or in calories compared to regular beers.
- Premium Lager - The premium is put to make this beer more valuable or important. And yet the beer industry doesn't use these ideas; it defines premium in relation to alcohol content. Premium lager is above 4.5% ABV
The career transition journey from a brewer to the data science field inspired me to upload the dataset over here.