coffee: Coffee Quality Institute Database
In Rkabacoff/qacData: Datasets for Data Science Instruction

coffee

R Documentation

Coffee Quality Institute Database

Description

Data scraped from the Coffee Quality Institute Database of 1312 arabica coffee beans. Contains both data about the production and taste of the beans. Scores are aggregated based on multiple cups of coffee with many reviewers.

Usage

coffee

Format

A data frame with 1311 rows and 28 variables. The variables are as follows:

country_of_origin: Country of Origin of Beans
company: Company which made the coffee
number_of_bags: Number of bags harvested
in_country_partner: Partner of the Company in the Country of Origin
grading_date: Date the Coffee was reviewed
owner_1: Owner of the Company or the Company Name
variety: Variety of Coffee
processing_method: Method by Which the Beans were Processed
aroma: Reviewer's Score of Aroma on a 1-10 scale
flavor: Reviewer's Score of Flavor on a 1-10 scale
aftertaste: Reviewer's Score of Aftertaste on a 1-10 scale
acidity: Reviewer's Score of Acidity on a 1-10 scale
body: Reviewer's Score of Body on a 1-10 scale
balance: Reviewer's Score of Balance on a 1-10 scale
uniformity: Reviewer's Score of Uniformity on a 1-10 scale
clean_cup: Reviewer's Score of "Transparency of a cup" on a 1-10 scale
sweetness: Reviewer's Score of Sweetness on a 1-10 scale
cupper_points: Reviewer's Holistic Score of the cup on a 1-10 scale
total_cup_points: Sum of the Reviewer's Scores
moisture: Moisture percentage from Green Analysis
category_one_defects: Major defects in the beans
color: Color of the Greens
category_two_defects: Minor defects in the beans
expiration: Expiration of the certification of the bean
unit_of_measurement: Unit of Measurement for the Altitude of the farm
altitude_mean_meters: Altitude of the farm

Source

The data is a subset scraped from the Coffee Quality Institute website using the scraper developed by *jldbc*. Full data can be found at https://github.com/jldbc/coffee-quality-database.