Analysis of sensory data and how to present them

Sven Henneberg
SAM ASAP Sensory and Marketing Germany GmbH, Germany
 sven.henneberg@samresearch.com

After the collection of sensory data with a computer program or with paper and pencil the raw data are normally stored in a data set. This data set contains all information like assessor’s identification number, product code, repetition, and the respective values for all attributes. These data have to be summarised in a reasonable way.

We will present several methods of how to summarise sensory data with the focus on differences between products. Based on two real data sets, describing European red wines on the one hand and coffees on the other hand, statistical operating figures (for example means) with the corresponding statistical analysis (for example analysis of variance) will be shown as well as reasonable charts to present these data, like spider web charts and biplots. Furthermore, we will show how to present statistical infor­mation within a chart.
Additionally to the sensory data, consumer acceptance data will be examined as well as the combination of consumer acceptance data with sensory data.

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