JMP was created by the SAS Institute in 1989 to empower scientists and engineers to explore data visually. Since then, JMP has grown from a single product into a family of statistical discovery tools, each one tailored to meet specific needs. All of our software is visual, interactive, comprehensive and extensible.
Availability at Cornell:
- Fundamentals of Predictive Analytics with JMP, Second Edition by Klimberg.
- Select Statistics with JMP by Goos.