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  • Learn how to build custom Python data connectors and further customize JMP’s Data Connector Framework with the Python Data Connector Demo, available now in the JMP Marketplace!
  • See how to move from signal modeling to system modeling at the first JMP Aerospace Analytics webinar. Register. June 18, 1 p.m. US Eastern Time.

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Overview of JMP Platforms

JMP provides your analyses and plots through objects called platforms. Examples of platforms include Distribution, Bivariate, Fit Least Squares, and Graph Builder. JMP platforms combine related functionality and procedures. And you launch platforms with either the default settings, or with user preferences. After a platform is launched, a user can interact with it to further refine their analysis. Every JMP platform object is composed of two layers: the analysis layer and the report layer. The analysis layer is responsible for performing the analytical procedures. This layer responds to messages such as the commands in the platform menu, which is the menu that appears when you click a red triangle. The report layer is responsible for presenting results and information. The elements that make up the report layer respond to a different set of special messages -- for example, the menus that appear when you right-click in a report window.

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