JMP 18 has arrived! We will be meeting in Voyager room SC-VR2-L1400-(48) EROS to showcase all the new features in JMP 18 including:
What’s new in JMP 18
- Presets
- When you have customized a report to your liking (including colors, axis settings, red triangle options), you can capture those customizations for use with future launches of the same platform. JMP includes a set of popular platform presets, or you can save your own preferred configuration as a preset for any data table or set of columns.\
- Learn more from this blog
- Pipelines
- JMP gives you easy access to your data from a variety of sources. With the additional data connectors now available with JMP 18, even more data is available to enrich your analyses. These data connectors are configurable, for more options to customize the details of your connections.
- Learn more from this blog
- Python
- JMP 18 includes a single, supported version of Python, an extensive set of standard Python libraries, a more robust connection between JMP and Python data structures, and an improved Python coding experience within JMP. Run the integrated Python version in JMP using the new Python editor for a simple but familiar Python programming experience. Access to JMP data tables in memory from Python directly; easy access to Python data from JMP.
- Learn more from this blog
Case Study on Linear and Non-linear binning
- Learn how to fit linear and non-linear models to your product data and how to apply standardized residuals for linear and non-linear product binning.
- Learn the difference between linear regression and principal components and when PC might be a better option
Learn more about What's New in JMP 18. Other notable enhancements:
- Improvements to profilers
- Improvements to Graph Builder
- Header statistics in data tables
- ALT designs can now support 3 factors
- Generate capability spec limits from Distribution platform
- Improved peak fitting for spectroscopy type datasets
- Conditional and looping support in Workflow Builder
- Improved JMP Help search
If you plan to attend in person, please let Nick Vacca (nick.vacca@jmp.com) know for space planning purposes.
