https://github.com/jldbc/coffee-quality-database

Building the Coffee Quality Institute Database
https://github.com/jldbc/coffee-quality-database

agriculture coffee data data-science dataset

Last synced: 4 days ago
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Building the Coffee Quality Institute Database

• Host: GitHub
• URL: https://github.com/jldbc/coffee-quality-database
• Owner: jldbc
• License: mit
• Created: 2018-01-20T21:02:16.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-06-16T23:28:57.000Z (over 6 years ago)
• Last Synced: 2023-11-07T19:15:45.576Z (about 1 year ago)
• Topics: agriculture, coffee, data, data-science, dataset
• Language: R
• Size: 282 KB
• Stars: 212
• Watchers: 24
• Forks: 153
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# coffee-quality-database

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](https://github.com/jldbc/coffee-quality-database/tree/master/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](https://github.com/jldbc/coffee-quality-database/tree/master/scraper) 

# Source

These data were collected from the Coffee Quality Institute's [review pages](https://database.coffeeinstitute.org/) in January 2018.