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A correspondence analysis is the standard tool for creating brand maps. It shows which brands compete with which other brands and the basis for that…

Principal Components Analysis (PCA) is a technique for taking a large number of variables and creating a new, smaller set of variables. These aim to…

Q can do so much more than generating tables. You can do segmentation, key driver analysis, MaxDiff, and a whole range of other advanced techniques.…

Correspondence analysis is often used to visualize a table of data. When we are interested in a specific row of the table, the results can be focused.

Correspondence analysis is a data analysis technique which summarizes the patterns in a table of data as a visualization. Tables with more than a handful…

The data In this post I use a table of the following Pick Any – Grid. Correspondence analysis To create a correspondence analysis plot in…

Correspondence Analysis in Q

This post shows how to use correspondence analysis to compare sub-groups. It focuses on one of the most interesting types of sub-groups: data at different points…

You can take your correspondence analysis plots to the next level by including images. Here is a guide to creating them in Q.