CHOCOLATES data

Description

The data used here refer to six varieties of chocolates sold in France. They can be divided into three data sets: sensochoc, sensopanels and hedochoc.

1) sensochoc: each chocolate was evaluated twice by 29 panelists according to 14 sensory descriptors

2) sensopanels: each chocolate was evaluated by 7 panels according to 14 sensory descriptors

3) hedochoc: each chocolate was evaluated on a structured scale from 0 to 10, by 222 consumers, according to their liking (0) or disliking (10)

Format

1) sensochoc: a data frame with 348=29*6*2 rows (29 panelists, 6 products, 2 sessions) and 19 columns: 5 qualitative variables (Panelist, Session, Form, Rank, Product) and 14 sensory descriptors (cocoa aroma, milk aroma, ..., astringency, crunchy, sticky, granular)

2) sensopanels: a data frame with 6 rows (6 products) and 7*14=98 columns (7panels and 14 descriptors: cocoa aroma, milk aroma, ..., astringency, crunchy, sticky, granular)

3) hedochoc: a data frame with 6 rows (6 products) and 222 columns: one column per consumer