Digitizing 1,340 coffee reviews

Data

These data contain reviews of 1312 arabica and 28 robusta coffee beans from the Coffee Quality Institute's trained reviewers. The features include:

Quality Measures

• Aroma
• Flavor
• Aftertaste
• Acidity
• Body
• Balance
• Uniformity
• Cup Cleanliness
• Sweetness
• Moisture
• Defects

Bean Metadata

• Processing Method
• Color
• Species (arabica / robusta)

Farm Metadata

• Owner
• Country of Origin
• Farm Name
• Lot Number
• Mill
• Company
• Altitude
• Region

The data folder contains both raw and cleaned data. The raw data is exactly as it was found on the CQI site. Since these human-recorded data use a variety of different encodings, abbreviations, and units of measurement for their farm names, altitude, region, and other fields, I recommend using the cleaned data as a starting point.

The site was scraped using a Selenium headless browser and Beautiful Soup. To replicate this or collect updated data, create a login for the CQI site and enter your credentials in the scraper

Source

These data were collected from the Coffee Quality Institute's review pages in January 2018.