JMP (statistical software)
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| Developer(s) | SAS Institute |
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| Stable release |
Version 13 / September 2016
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| Operating system | Windows, Macintosh |
| Type | Statistical package, visualization, multivariate analysis, genomics, biomarkers, clinical |
| License | Proprietary |
| Website | jmp |
JMP (pronounced "jump") is a computer program for statistics developed by the JMP business unit of SAS Institute. It was launched in 1989 to take advantage of the graphical user interface introduced by the Macintosh. It has since been improved and made available for the Windows operating system. JMP is used in applications such as Six Sigma, quality control and engineering, design of experiments and scientific research.
The software consists of five products: JMP, JMP Pro, JMP Clinical, JMP Genomics and the JMP Graph Builder App for the iPad. A scripting language is also available. The software is focused on exploratory analytics, whereby users investigate and explore data, rather than testing a hypothesis.
JMP was developed in the 1980s by John Sall and a team of developers to make use of the graphical user interface introduced by the 1984 Apple Macintosh. It originally stood for "John's Macintosh Project" or “John’s Macintosh Product” and was first released in October 1989. It was used mostly by scientists and engineers for design of experiments (DOE), quality and productivity support (Six Sigma), and reliability modeling. Semiconductor manufacturers were also among JMP’s early adopters.
Interactive graphics and other features were added in 1991 with version 2.0. Version 2 was twice the size as the original, though it was still delivered on a floppy disk. It required 2 MB of memory and came with 700 pages of documentation. Support for Microsoft Windows was added in 1994. JMP was re-written with version 3 in 1999. Version 4, released in 2002, could import data from a wider variety of data sources and added support for surface plots. Version 4 also added time series forecasting and new smoothing models, such as the seasonal smoothing method, called Winter's Method, and ARIMA (Autoregressive Integrated Moving Average). It was also the first version to support JSL, JMP Scripting Language.
In 2005, data mining tools like a decision tree and neural net were added with version 5 as well as Linux support, which was later withdrawn in JMP 9. Later in 2005, JMP 6 was introduced. JMP began integrating with SAS in version 7.0 in 2007 and has strengthened this integration ever since. Users can write SAS code in JMP, connect to SAS servers, and retrieve and use data from SAS. Support for bubble plots was added in version 7. JMP 7 also improved data visualization and diagnostics.
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