Jmp Version History !exclusive! <FHD | 2K>

In 2007, JMP 7.0 was launched, bringing advanced analytics capabilities to the software. This version included new features, such as nonlinear regression, generalized linear mixed models, and enhanced simulation capabilities.

JMP (John's Macintosh Project) was first released in JMP Statistical Discovery LLC

Began deep integration with SAS , allowing users to write SAS code directly within JMP.

Introduced the Workflow Builder for reproducible analysis and the Easy DOE platform for guided experiments. jmp version history

The mid-2000s focused on enhancing the "dynamic" aspect of JMP—making graphs more interactive and integrated, allowing users to select data points in one visualization and see them highlighted instantly in another. The Modern Era: JMP Pro and Beyond (2010s–Present)

Partition trees for data mining, neural networks, and attribute gauge charts for quality control. JMP 6 (2005)

Some areas of focus for future JMP releases include: In 2007, JMP 7

Focused on performance and efficiency, including a 75% faster load time for certain visualizations and the new Columns Manager . It also added "Platform Presets" for saving report customizations.

: Solved the challenge of analyzing text files.

JSL transformed JMP from a purely point-and-click tool into an automatable platform. Users could now record their analytical steps, build custom dashboards, write reproducible scripts, and extend the software's native functionality. This version also added contour plots and time-series analysis. JMP 5 (2002) JMP 6 (2005) Some areas of focus for

The software grew up. JMP 2.0 expanded beyond the Mac to Windows, broadening its user base significantly. This version introduced more advanced statistical capabilities, solidifying its place in industrial quality control and Six Sigma methodologies.

: After being largely rewritten, JMP 4 launched with a greatly improved interface and much broader capabilities for data import, analysis, and graphics.

: Introduced the Column Switcher and Local Data Filters for interactive dashboarding. JMP Pro added text analytics, definitive screening designs, and advanced mixed models. JMP 12 & JMP Pro 12 (2015)

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.

What (Semiconductors, Pharma, Biotech) you use JMP for? If you need a comparison between Standard JMP and JMP Pro ?