JMP 6.0, released in 2002, was a major upgrade that introduced a new user interface, improved performance, and enhanced data visualization capabilities. This version also marked the beginning of JMP's integration with other SAS products, enabling seamless data exchange and workflow integration. JMP 7.0, released in 2007, continued this trend, adding support for scripting, automation, and more advanced statistical techniques.
Built-in tools for transforming, recoding, and cleaning messy data directly inside data tables.
The last decade has seen JMP transition toward larger datasets, better reporting, and specialized versions like for advanced predictive modeling.
JMP 16 brought a modernized user interface, including a dark mode (finally!). It focused on mixed models and robust outlier detection. The integration with Python was also significantly improved, acknowledging that modern data scientists work in multiple languages.
JMP spun off into a wholly owned subsidiary of SAS, sharpening its focus on rapid product iteration.
This version marked a significant rewrite. It introduced the JMP Scripting Language (JSL) , allowing users to automate tasks. It also added support for surface plots, time series forecasting, and new smoothing models like Winter’s Method.
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Design of Experiments (DOE) and predictive modeling.
As the software matured, it underwent significant architectural rewrites to support more complex data sources and advanced statistical modeling.
JMP has a rich history of providing data visualization, statistical analysis, and data mining capabilities to users. From its early versions to the current release, JMP has continued to evolve and improve, adding new features and enhancements to support the needs of data analysts and scientists.
Significantly optimized memory management to handle bigger data tables.
Deepened JSL capabilities to allow complex dashboard creation.
: Introduction of the JMP Live publishing platform. Enhanced Graph Builder with contour lines and time-series presets. JMP Pro added structural equation modeling (SEM) and functional data analysis. JMP 16 & JMP Pro 16 (2021)