Arabica and Robusta Chemical Composition Samples — coffee

This dataset, coffee_composition, is a data frame containing chemical composition samples of Arabica and Robusta coffee. It includes information on variety, country, water, bean weight, extract yield, pH value, free acid, mineral content, fat, caffeine, trigonelline, chlorogenic acid, neochlorogenic acid, and isochlorogenic acid.

Usage

data(coffee_composition)

Format

A data frame with 43 observations and 14 variables:

Variety: Factor w/ 2 levels indicating the coffee variety
Country: Factor w/ 29 levels indicating the country
Water: Numeric vector indicating the water content
Bean Weight: Numeric vector indicating the bean weight
Extract Yield: Numeric vector indicating the extract yield
ph Value: Numeric vector indicating the pH value
Free Acid: Numeric vector indicating the free acid content
Mineral Content: Numeric vector indicating the mineral content
Fat: Numeric vector indicating the fat content
Caffine: Numeric vector indicating the caffeine content
Trigonelline: Numeric vector indicating the trigonelline content
Chlorogenic Acid: Numeric vector indicating the chlorogenic acid content
Neochlorogenic Acid: Numeric vector indicating the neochlorogenic acid content
Isochlorogenic Acid: Numeric vector indicating the isochlorogenic acid content

Source

Data taken from the IMIFA package version 2.2.0

Details

The dataset name has been kept as 'coffee_composition' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the agridatasets package and assists users in identifying its specific characteristics.