useR! 2024

This tutorial is for scientists and data science practitioners who regularly work with high-dimensional data and are interested in learning how to better visualize this data. It is based on a book with the same title, available under https://dicook.github.io/mulgar_book. We begin the tutorial with an introduction of high-dimensional data and why visualization is important. We then introduce tour methods and show how we can recognize structure in high-dimensional data. Then we show how to apply these methods in three settings: for effective dimension reduction, including non-linear methods; for understanding solutions from cluster analysis using visualization; and for building better classification models with visual input. Participants should have a good working knowledge of R, and some background in multivariate statistical methods and/or data mining techniques.