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. 1. IPA - India pale ale (IPA) is a hoppy beer style within the broader category of pale ale. 2. Light Lager - Light beer is a beer, usually a pale lager, that is reduced in alcohol content or in calories compared to regular beers. 3. 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.