The latest release of JMP and JMP Pro brings a variety of time-saving and analytic enhancements, ranging from data management to advanced predictive modeling. This session highlights how to use some of the key new capabilities, including:
- Data Tables - data grid, rows, columns and script panels
- Graph Builder - jitter, smoother and multiple Y-axis capabilities. See some examples of how to use multiple axes.
- Data Connectors – accessing data and creating/sharing mass customized data connectors
- Third-party Extensions – improved Python integration, new data access options, improved JSL integration, ability to handle more objects, upgraded Python package management, restored SAS and R integrations
- Notebooks - storing information
- Process Screening and Environmental Monitoring – extended process screening distributions, counts, limits and alarm reports for big and wide count and continuous data
- Bayesian Optimization – interactive, active learning technique for experimentation and optimization to identify the most promising new combinations of inputs to test
- Causal Inference – fit models using causal treatment option to see if X causes Y
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