Results for correspondence analysis

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.
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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…
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The data In this post I use a table of the following Pick Any – Grid. Correspondence analysis To create a correspondence analysis plot in…
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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…
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Correspondence Analysis in Q
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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…
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You can take your correspondence analysis plots to the next level by including images. Here is a guide to creating them in Q.
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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.…
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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…
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Key Driver Analysis software is used for calculating the relative importance of 'predictor variables' on an 'outcome variable'. One tool stands out.
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Key Driver Analysis software is used for calculating the relative importance of 'predictor variables' on an 'outcome variable'. One tool stands out.
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Key Driver Analysis software is used for calculating the relative importance of 'predictor variables' on an 'outcome variable'. One tool stands out.
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Helping market researchers quickly find the story in their data. Q is analysis software designed just for market research.
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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...
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