SAS JMP Statistical Discovery 16.1

The analytics software developer SAS is pleased to announce the availability of JMP Pro 16.0.0. This release include enhancements and new statistical and analytic capabilities that help you visualize, examine and model data about your products, processes and customers.

JMP 16 highlights
- Control chart warnings in JMP Live to monitor production and triage problems with processes.
- Action Recording and Enhanced Log to capture analytic activities performed in an interactive session and create a repeatable workflow.
- Enhancements to the drag-and-drop Graph Builder, including an easy run chart, a cumulative sum statistic and more line labeling options.
- Sample Size Explorer to support interactive exploration of power, sample size and margin of error in design of experiments.

JMP Pro 16 highlights
- Model Screening to find the best model to explore the question at hand.
- Enhanced Structural Equation Modeling with new measures and visualizations, model shortcuts and interactive model comparison.
- Limit of Detection Analysis for performing analyses more easily and specifying lower and upper detection limits for responses in custom designed experiments.
- Term selection and sentiment analysis in Text Explorer to better understand customer surveys and feedback.
 

SAS created JMP (pronounced "jump")in 1989 to empower scientists, engineers and other data analysts to explore and analyze data visually and interactively. Since then, JMP has grown from a single product into a family of statistical discovery tools, each one tailored to meet specific needs. John Sall, SAS co-founder and Executive Vice President, leads the JMP business unit.

From developing an ultra-lightweight and ultra-flexible solar film that helps more buildings become fully energy-neutral to communicating scientific evidence to juries in environmental crime trials, JMP statistical discovery software is helping engineers, scientists and other data analysts make life-changing impacts efficiently. With JMP Pro 16, the advanced analytics version of JMP, data scientists have more predictive methods to build and identify better statistical models.

There are lots of enhancements to graphing in JMP 16. This video highlights 5 of them: dynamic graph axis labels, row order flag, cumulative sum, ruler tool, and box Descriptions.