Correspondence analysis is the one multivariate technique every quant researcher should know.
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 give practical tips for more advanced topics such as trend data, rotation, supplementary data points, and various options for visualization (scatterplots, bubble charts, moon plots, logos).
The analyses will be demonstrated using Q, but the basic principles are applicable regardless of which package you use.
