Jmp Version History «2024»
A Complete Journey Through Time: The JMP Version History
In the landscape of statistical discovery software, two names often dominate the conversation: SPSS, Minitab, and the behemoth SAS. However, nestled between the command-line power of SAS and the point-and-click simplicity of SPSS lies JMP (pronounced "jump"). Since its debut in 1989, JMP has offered a unique value proposition: dynamic, interactive data visualization combined with robust statistical analytics.
For engineers, scientists, and analysts who value discovering patterns visually rather than memorizing code, JMP is the gold standard. But how did we get here? This article traces the complete version history of JMP, from a Macintosh-only novelty to a cross-platform data science workhorse.
JMP Version History
JMP (Jump) is a popular statistical discovery software package developed by SAS Institute. Here is a brief overview of the major version releases:
Version 14.0 (2018) – Democratizing Advanced Analytics
JMP 14 focused on "explainable AI" before it was a buzzword. It added modern machine learning with transparency.
Version 14 Pro Features:
- Boosted Tree & Neural Net Updates: Support for large-scale GPU acceleration (NVIDIA CUDA).
- Model Screening: Run 10+ different predictive models automatically and compare their performance in a single view.
- Spec Limits: Improved data quality checks for manufacturing control charts.
- Variable Importance: Shapley value decomposition for random forests.
References
The Evolution of Statistical Discovery: A History of JMP Since its inception in the late 1980s, JMP (pronounced "jump") has transformed from a niche Macintosh project into a cornerstone of statistical analysis for scientists and engineers worldwide. Developed by John Sall and his team at SAS Institute, JMP was born from the desire to merge powerful statistical algorithms with the intuitive graphical user interface (GUI) of the Apple Macintosh. The Early Years (1989–1994)
Version 1.0 (1989): Originally standing for "John’s Macintosh Project," JMP debuted in October 1989 exclusively for the Mac. It focused on Design of Experiments (DOE) and quality support for its early adopters in the semiconductor and engineering fields.
Version 2.0 (1991): Introduced at Macworld Expo, this version doubled the software's size but still fit on a floppy disk. It added more interactive graphics and 700 pages of documentation.
Expansion to Windows (1994): Support for Microsoft Windows began with version 3.1, broadening JMP's reach beyond the Apple ecosystem. Modernization and New Capabilities (2002–2010)
Version 4.0 (2002): 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.
Linux Support (2003–2006): JMP reached 32-bit Linux in 2003, followed by a milestone 64-bit release in 2006 (Version 6.1).
Interactive Growth: Subsequent generations (Versions 5 through 9) focused on deepening analytics, adding more interactive graphics, and refining the user interface for desktop data mining. The Advanced Era (2011–Present)
Recent versions have emphasized integration with open-source tools and enhanced visualization for specialized fields. Solved: Print JMP version and details in jsl
3 Jun 2016 — Re: Print JMP version and details in jsl ... the leading blank in JMP 6,7,8,9 is intentional. JMP 5 does not have the function. .. JMP User Community
Better together: Extending JMP® with open‐source software jmp version history
The Evolution of JMP: A Comprehensive Version History
JMP, a statistical discovery software, has been a leading tool for data analysis and visualization since its inception in 1984. Over the years, JMP has undergone significant transformations, with each new version building upon the previous one to provide more advanced features and capabilities. In this article, we'll take a journey through the version history of JMP, highlighting key milestones and enhancements.
Early Years (1984-1990)
The first version of JMP, version 1.0, was released in 1984 by John Sall, a statistician at SAS Institute. Initially, JMP was designed to provide an interactive, graphical interface for statistical analysis, focusing on exploratory data analysis and visualization. The early versions of JMP were characterized by their simplicity and ease of use.
- JMP 1.0 (1984): The first version of JMP, which introduced the concept of interactive, graphical data analysis.
- JMP 2.0 (1987): Added support for scripting and automation, making it easier for users to customize and extend the software.
The Rise of JMP (1990-2000)
The 1990s saw significant growth and development in JMP. The software became more widely adopted, and its user base expanded beyond SAS users.
- JMP 3.0 (1991): Introduced a new user interface, improved graphics, and enhanced statistical capabilities.
- JMP 4.0 (1994): Added support for data mining and predictive modeling, making JMP a more comprehensive analytics tool.
- JMP 5.0 (1999): Introduced a major new feature, the "JMP Scripting Language" (JSL), which enabled users to create custom scripts and automate tasks.
Modern Era (2000-2010)
The 2000s saw JMP continue to evolve with a focus on usability, performance, and advanced analytics.
- JMP 6.0 (2005): Introduced a revamped user interface, improved performance, and new data visualization tools.
- JMP 7.0 (2007): Added support for mixed models, survival analysis, and more advanced statistical techniques.
- JMP 8.0 (2009): Introduced a new platform for building and deploying predictive models, as well as enhanced data manipulation and visualization capabilities.
Recent Developments (2010-Present)
In recent years, JMP has continued to innovate and expand its capabilities, incorporating emerging technologies and trends.
- JMP 9.0 (2010): Introduced a new user interface, improved performance, and enhanced data visualization tools.
- JMP 10.0 (2013): Added support for big data analytics, text mining, and more advanced machine learning algorithms.
- JMP 11.0 (2015): Introduced a new platform for Internet of Things (IoT) data analysis and visualization.
- JMP 12.0 (2017): Added support for Python scripting, as well as enhanced data science and machine learning capabilities.
- JMP 14.0 (2020): Introduced a new, modern user interface, improved performance, and enhanced analytics capabilities, including support for Python and R.
Conclusion
The version history of JMP reflects the software's evolution from a simple, interactive statistical analysis tool to a comprehensive analytics platform. With each new version, JMP has built upon its strengths, incorporating emerging technologies and trends to stay ahead of the curve. As data analysis and visualization continue to play an increasingly important role in business and research, JMP remains a leading choice for professionals seeking to extract insights and knowledge from their data.
Evolution of JMP Statistical Software JMP has transformed from a niche Macintosh tool into a global powerhouse for visual data analysis. Since its launch by SAS Institute in 1989, it has prioritized a "point-and-click" interface that bridges the gap between complex statistics and intuitive discovery. The Early Years (1.0 to 3.0)
JMP 1 (1989): Designed specifically for the Apple Macintosh. It introduced the revolutionary idea of linking graphics with data tables. A Complete Journey Through Time: The JMP Version
JMP 2 (1991): Expanded capabilities with more complex ANOVA and multivariate analysis.
JMP 3 (1994): The first version to support Microsoft Windows, marking its transition to a cross-platform tool. Scaling for Science (4.0 to 7.0)
JMP 4 (2000): Introduced the JMP Scripting Language (JSL). This allowed users to automate repetitive tasks and build custom applications.
JMP 5 (2002): Added significant features for Six Sigma and quality control, including Partition platforms and more robust DOE (Design of Experiments).
JMP 6 (2005): Integrated JMP with SAS, allowing users to leverage the power of SAS servers while keeping the JMP visual interface.
JMP 7 (2007): Focused on "Visual Six Sigma" and enhanced the Graph Builder, which would become the heart of the software. The Modern Interface (8.0 to 12.0)
JMP 8 (2008): Massive overhaul of the user interface. It introduced the "Home Window" and improved data cleanup tools.
JMP 9 (2010): Brought deep integration with the R programming language and Excel. Map shapes and GIS capabilities were also added.
JMP 10 (2012): Saw the debut of JMP Pro. This version catered to "big data" with predictive modeling and cross-validation tools.
JMP 11 (2013): Enhanced the "Data Filter" and added the Column Selection tool, making it easier to slice through millions of rows.
JMP 12 (2015): Improved the "Selection" and "Reorder" features, focusing on user efficiency and the Query Builder for SQL-like data merging. Advanced Analytics (13.0 to 15.0)
JMP 13 (2016): A milestone for text exploration. Users could now analyze unstructured data like survey comments and logs directly.
JMP 14 (2018): Focused on workflow. The "Projects" feature allowed users to organize tables, scripts, and reports into a single file.
JMP 15 (2019): Introduced the "Graph Builder" makeover. It added better support for contour plots and revamped the data import wizard for complex formats. The Current Era (16.0 to Present) JMP Version History JMP (Jump) is a popular
JMP 16 (2021): Focused on "Action Recording." JMP now automatically writes the JSL script as you click, making automation accessible to non-coders.
JMP 17 (2022): Added the Easy DOE tool. This guided workflow helps beginners design experiments without needing a PhD in statistics.
JMP 18 (2024): Introduced a native Python integration. Users can now run Python code directly within JMP, sharing data frames between the two environments seamlessly.
💡 Key Takeaway: JMP’s history is a move from simple visualization to automated, AI-ready predictive modeling. If you’re looking to upgrade, I can help you: Compare JMP Standard vs. JMP Pro Find the best new features in Version 18 Check system requirements for your OS
Features continue to expand on the automated discovery and visualization capabilities seen in New in JMP 19 JMP 18 (2024):
Introduced as a powerful desktop-based "point-and-click" software for statistical data analysis with no programming required. JMP 14 (2018):
file management tool and the ability to use custom images as markers on graphs. JMP 13 (2016):
Focused on handling large data sets in memory and improved reporting/ease-of-use. JMP 12 (2014): Introduced the Modeling Utilities
submenu and performance improvements for statistical analysis. JMP 11 (2014):
Added an Excel import wizard and advanced features for Design of Experiments (DOE). JMP 10 (2012):
Major improvements in data mining, predictive analytics, and automated model building. JMP 9 (2010): Rebuilt the main screen and added a new Degradation platform for reliability analysis. Key Organizational Milestones
John Sall is the primary architect and head of the R&D team. Corporate Structure: January 2021
, JMP Statistical Discovery, LLC became a wholly-owned subsidiary of SAS Institute system requirements for a particular version?
JMP statistical software has evolved from a niche Macintosh tool into a comprehensive data analysis platform for Windows and Mac. Originally standing for " John’s Macintosh Project ," it was first released in October 1989.
Below is a chronological overview of JMP version history based on major release highlights:
