Jmp Version History Online

Recent updates have prioritised ease of use and logging. The "Action Recorder" was a standout feature, automatically capturing the steps of an analysis to generate JSL scripts without requiring the user to write a single line of code.

JMP 6 delivered massive enhancements to the DOE workflow and incorporated 3D surface plots. It also deepened integration with its parent company's ecosystem (SAS), allowing seamless data transfer between the two distinct analysis tools. Modern Architecture and Big Data: JMP 7 to JMP 10 JMP 7 (2007)

Introduced the Action Recorder , which automatically writes JSL script based on user clicks.

Direct integration with the R programming language , map shapes for geographic data, and degradation analysis. JMP 10 (2012) jmp version history

Built-in Text Explorer for sentiment and word analysis, interactive HTML report exporting, process screening, and formula deposition to C, Python, and JavaScript. JMP 14 & JMP Pro 14 (2018)

Version 6 is often forgotten because it was a short-lived, incremental update focused on bug fixes and performance. However, it introduced , a separate but integrated module for analyzing microarray and DNA sequencing data, signaling SAS’s interest in the bioinformatics market.

: The Query Builder for visual SQL merging, automated data cleanup tools (missing value imputation), and execution of JMP models in Python/C code via JMP Pro. JMP 13 & JMP Pro 13 (2016) Recent updates have prioritised ease of use and logging

Deepened JSL capabilities to allow complex dashboard creation.

Focused heavily on usability, making it easier for non-statisticians to perform complex modeling. JMP Pro, the advanced version, solidified its place in predictive modeling and reliability.

Designed for interactivity, allowing users to explore data visually rather than through code-heavy command lines. It also deepened integration with its parent company's

JMP statistical software has transformed how data analysts, scientists, and engineers visualize and analyze data. Developed by SAS, JMP (pronounced "jump") pioneered dynamic data visualization. The Origins: JMP 1 to JMP 3 (1989–1994) JMP 1 (1989) : Macintosh exclusive. Focus : Visual data exploration. Core : Linked graphics with spreadsheets. Impact : Introduced interactive data brushing. JMP 2 (1991) Expansion : Added design of experiments (DOE). Feature : Basic survival analysis tools. Engine : Enhanced statistical computing power. JMP 3 (1994) Milestone : First Microsoft Windows version. Interface : Unified cross-platform user experience. Tools : Expanded multivariate analysis capabilities.

What (e.g., manufacturing, pharma, academia) you work in? Whether you are deciding between standard JMP and JMP Pro ?

JMP 8.0, released in 2009, marked a significant expansion of JMP's capabilities in the area of genomics. This version introduced JMP Genomics, a specialized module for analyzing and visualizing genomic data.

The Evolution of JMP: A Complete Version History and Statistical Legacy

JMP was born out of a need for a desktop statistical package that could leverage the visual capabilities of the Apple Macintosh.