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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…

It converts difficult-to-read tables into client-friendly visualizations. This webinar will focus on when and how to perform correspondence analysis. It will review the basics, and…

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.

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.…

Advanced Data Analysis Predictive modeling Predictive modeling involves working out how one set of variables predicts another variable. There are two ‘flavors’ of this type of…

Key Driver Analysis software is used for calculating the relative importance of 'predictor variables' on an 'outcome variable'. One tool stands out.

Key Driver Analysis software is used for calculating the relative importance of 'predictor variables' on an 'outcome variable'. One tool stands out.

Key Driver Analysis software is used for calculating the relative importance of 'predictor variables' on an 'outcome variable'. One tool stands out.

Helping market researchers quickly find the story in their data. Q is analysis software designed just for market research.

How Q helped Directions streamline their analysis process and save thousands of hours. “As analysts, Q has saved us thousands of hours. It saves us from spend...