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Two years later, version 12.0 was introduced. It included new ease-of-use features, an Excel import wizard, and advanced features for design of experiments. In March 2012, version 10 made improvements in data mining, predictive analytics, and automated model building. The main screen was rebuilt and enhancements were made to simulations, graphics and a new Degradation platform.
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According to Scientific Computing, the software had improvements in "graphics, QA, ease-of-use, SAS integration and data management areas." JMP 9 in 2010 added a new interface for using the R programming language from JMP and an add-in for Excel. It also added a new user interface for building graphs, tools for choice experiments and support for Life Distributions.
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JMP 8 was released in 2009 with new drag-and-drop features and a 64-bit version to take advantage of advances in the Mac operating system. JMP 7 also improved data visualization and diagnostics. Support for bubble plots was added in version 7.
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Users can write SAS code in JMP, connect to SAS servers, and retrieve and use data from SAS. JMP began integrating with SAS in version 7.0 in 2007 and has strengthened this integration ever since. 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mining tools like a decision tree and neural net were added with version 5 as well as Linux support, which was later withdrawn in JMP 9. It was also the first version to support JSL, JMP Scripting Language.
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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). Rewritten with Version 4 and released in 2002, JMP could import data from a wider variety of data sources and added support for surface plots. Support for Microsoft Windows was added with version 3.1 in 1994. It required 2 MB of memory and came with 700 pages of documentation. Version 2 was twice the size as the original, though it was still delivered on a floppy disk. Interactive graphics and other features were added in 1991 with version 2.0.
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Semiconductor manufacturers were also among JMP's early adopters. It was used mostly by scientists and engineers for design of experiments (DOE), quality and productivity support (Six Sigma), and reliability modeling. It originally stood for "John's Macintosh Project" and was first released in October 1989. JMP was developed in the mid- to late-1980s by John Sall and a team of developers to make use of the graphical user interface introduced by the Apple Macintosh. In addition, discoveries made through graphical exploration can lead to a designed experiment that can be both designed and analyzed with JMP. These explorations can also be verified by hypothesis testing, data mining, or other analytic methods. The software is focused on exploratory visual analytics, where users investigate and explore data. JMP can be automated with its proprietary scripting language, JSL. It formerly included the Graph Builder iPad App. The software can be purchased in any of five configurations: JMP, JMP Pro, JMP Clinical, JMP Genomics and JMP Live. JMP is used in applications such as Six Sigma, quality control, and engineering, design of experiments, as well as for research in science, engineering, and social sciences. It has since been significantly rewritten and made available also for the Windows operating system. It was launched in 1989 to take advantage of the graphical user interface introduced by the Macintosh operating systems. JMP (pronounced "jump") is a suite of computer programs for statistical analysis developed by the JMP business unit of SAS Institute. Statistical package, visualization, multivariate analysis, genomics, biomarkers, clinical