The course will present visualization tools that provide deep insight into the structure of data. There are graphical tools such as coplots, level plots, and banking to 45 degrees. There are fitting tools such as loess and bisquare. Some tools are old standards. One example is q-q plots.
Many tools are new, the leading edge of approaches to data visualization.
But the material in the course is much more than a compendium of useful tools. It conveys an approach to data analysis that stresses the use of visualization to thoroughly study the structure of data and to check the validity of statistical models fitted to data. The result is a vast increase in what can be learned from data. The course demonstrates this by reanalyzing many data sets from the scientific literature, revealing missed effects and inappropriate models fitted to data. The course is intended for anyone who has data to analyze.