This post describes the single biggest time saving technique that I know about for highlighting significant results on a table. The table below, which shows the results of a MANOVA, illustrates the trick. The coloring...

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 in time. This is variously known as trend, tracking, longitudinal and time series data. The end-goal...

Correspondence analysis is a popular data science technique. It takes a large table, and turns it into a seemingly easy-to-read visualization. Unfortunately, it is not quite as easy to read as most people assume. In How...

Creating the experimental design for a max-diff experiment is easy in R. This post describes how to create and check a max-diff experimental design. If you are not sure what this is, it would be best to read A beginner's guide to max-diff first.

You can take your correspondence analysis plots to the next level by including images. Better still, you don’t need to paste in the images after the analysis is complete – you can include them right...

  The rhtmlLabeledScatter package on github attempts to solve three chronic challenges with labeled scatterplots: readability with large numbers of labels, bubbles, and the use of images.   Four tools for dealing with overlapping labels 1....