Quantitative Descriptive Analysis data

Quantitative Descriptive Analysis is a classical descriptive analysis technique in sensory evaluation.
In QDA, a trained panel evaluates products several times by scoring a list of given sensory descriptors.

The data set obtained is composed by as many rows as there are combinations of product, panelist and session and several columns, each one corresponding to one descriptor, plus three columns for the product, panelist and session variables.

The main objectives when analysing QDA data with SensoMineR are:

To study panel performance
To get a characterization of each product
To relate sensory and instrumental data
To visualize preferences by mapping

QDA data

Panel Performance
Products characterization
Relating sensory data and instrumental data
Mapping preferences