Control Chart Builder, exact statistics, and advanced reliability modeling.
The modern era demanded precision. JMP 14 unveiled a stunning "Reliability and Survival" platform, complete with a "Degradation" analyzer that could predict when a lightbulb would fail, a battery would die, or a bridge would crack—before it happened. The "Functional Data Explorer" allowed you to treat entire curves (like temperature profiles across a day) as single data points. It was a leap from static numbers to dynamic shapes.
JMP statistical software has spent over three decades transforming how scientists, engineers, and data analysts explore data visually. Originally built for the Apple Macintosh, JMP (pronounced "jump") pioneered interactive data visualization long before "business intelligence" became a corporate buzzword.
Continues to refine data exploration, introduces specialized workflows for six sigma and reliability, and expands integrations with modern data lakes and cloud environments. 🔍 Key Features Introduced Across Decades jmp version history
As the software grew, it broke out of its Mac-exclusive shell to meet the needs of a wider engineering world. JMP 3.1 (1994): This version marked a major milestone by adding support for Microsoft Windows , allowing it to reach a much larger corporate audience. JMP 4.0 (2002):
JMP 9 introduced the ability to run R code directly within JMP, integrating open-source statistical power. JMP 10 brought more robust predictive modeling tools and improved performance with large datasets.
What (e.g., manufacturing, pharma, academia) you work in? Whether you are deciding between standard JMP and JMP Pro ? The "Functional Data Explorer" allowed you to treat
file management tool and the ability to use custom images as markers on graphs. JMP 13 (2016):
: SAS introduced JMP Pro , a specialized version designed for advanced data scientists and predictive modelers.
Specific like Design of Experiments (DOE) or Six Sigma optimization Share public link Originally built for the Apple Macintosh, JMP (pronounced
, allowing users to write SAS code and retrieve server data directly within JMP. It also introduced bubble plots. Version 8 (2009): 64-bit support for macOS and a drag-and-drop interface for graph building. Version 9 (2010): Integrated with the R programming language
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.
: Enhanced data loading speeds from databases.
: Addressed the time analysts spent cleaning messy source data.
submenu and performance improvements for statistical analysis. JMP 11 (2014):