Sensory

Chapter 2: Dealing with qualitative perception

This chapter deals with categorical variables. We introduce the notions of bar plot, of contingency table, of independence, the magic of Correspondence Analysis...

1From classes to categories and vice-versa

2From categories to categorical data and their representation

3From categorical data to contingency table

4From contingency table to the notion of independence

5From the independence to its deviation

6From the notion of deviation to the notion of distance

7From the notion of distance to the notion of inertia

8From the notion of inertia to Correspondence Analysis

9From Correspondence Analysis to Multiple Correspondence Analysis

10From Multiple Correspondence Analysis to Sorting Data

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About this course

'Sensory Data Science' is an innovative course about data science applied to sensory data. In this course, we will try to find the right balance between statistics, computer science, mathematics, formalism, intuition, with a pinch of sensory, consumer, perception data. The spirit of the course is as follows: start with data, explore them and introduce the statistical and computer elements necessary to obtain knowledge. Data mining will be done using R software.

About us

The course was created by Sébastien Lê and implemented by Sébastien Lê, Guillaume Béguec, and Marion Moussay, from the statistics and computer science department, Institut Agro Rennes-Angers, CNRS, IRMAR - UMR 6625, F-35000 Rennes, France