Correspondence analysis
After having seen how to analyze tables with quantitative variables using principal components analysis, we are now going to see how to analyze contingency tables using correspondence analysis. There are 5 short course videos, with a total running time of about the same as the PCA course, followed by a video showing how to use the method with FactoMineR in R, and a case study video. And of course, there is a quiz at the end, as well as written and coding exercise to help all this new information sink in.
Correspondence analysis is the method used to visualize contingency tables, i.e., tables on which chi2 tests can be performed. CFA is often used in textual analysis, on tables crossing authors or texts, with words.Course and software implementation
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The exercices
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