Multivariate Data Visualization with R

Course describes and demonstrates a creative approach for constructing and drawing grid-based multivariate graphs in R

Created by: Geoffrey Hubona, Ph.D.
Associate Professor of MIS and Data Analytics

What Will I Learn?

• Graphically depict visual 2D, 3D, 4D (and so on) relationships that exist in multivariate data sets.
• Understand how "trellis" graphic objects are different from other graphic objects in R.
• Understand how to apply the techniques of conditioning and paneling to present multivariate data relationships.
• Understand the nature of lattice panel functions and know how to create and modify them for brilliant multivariate graphics displays.
• Have a powerful visual toolset to visually present the results of multi-variable statistical model fitting.

Requirements

• Students will need to install R and RStudio (instructions are provided in the course materials).

Target audience

• Anyone who uses R, or who wants to use R, for any sort of multivariate data analysis would benefit from taking this course.
• The course is appropriate for students, scientists, or other quantitative-analysis professionals who want to display numerical information in plots and graphs.
• To take advantage of the course, students will need to have a basic (introductory) level or ability to use R software. However, all of the graphic R scripts are provided with the course materials.