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JMP (statistical software): History & Applications

JMP (pronounced "jump") is a suite of computer programs for statistical analysis and machine learning developed by JMP, a subsidiary of SAS Institute. The program was launched in 1989 to take advantage of the graphical user interface introduced by the Macintosh operating systems. It has since been significantly rewritten and made available for the…

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JMP (statistical software) topic overview

The analysis highlights History and Applications as prominent areas in the source structure around JMP (statistical software).

Related topics
33
Source areas
4
Connected nodes
37
Extracted relationships
28
Concept neighborhoods
18
Bridge connections
37

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 13 topics
Notable applications · 8 topics
History · 7 topics
Software · 5 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
JMP Statistical Discovery LLC
License
Proprietary
Operating system
Windows, Macintosh, Windows Server
Stable release
v19.0.4 / 15. December 2025
Type
Statistical package, visualization, multivariate analysis, Design of Experiments, genomics, biomarkers, clinical

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Software

Notable applications

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How JMP (statistical software) connects Entity context

The extracted context around JMP (statistical software) shows recurring relationship patterns in the source. For example, JMP (statistical software) → JMP Statistical Discovery LLC Another extracted example is JMP (statistical software) → Proprietary. Use these groups to spot repeated connection types before inspecting the individual relationships.

JMP (statistical software)

Top relations

Developer · 1
JMP (statistical software) → JMP Statistical Discovery LLC
License · 1
JMP (statistical software) → Proprietary
Operating system · 1
JMP (statistical software) → Windows, Macintosh, Windows Server
Stable release · 1
JMP (statistical software) → v19.0.4 / 15. December 2025
Type · 1
JMP (statistical software) → Statistical package, visualization, multivariate analysis, Design of Experiments, genomics, biomarkers, clinical
Website · 1
JMP (statistical software) → jmp.com

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

jmp data version sas software also jsl used statistical design experiments added new users analysis support introduced mining language released

JMP (statistical software) relationships Subject–Predicate–Object triples

TTTA extracted 28 structured relationships around JMP (statistical software). Examples in this analysis include JMP (statistical software) → Developer → JMP Statistical Discovery LLC and JMP (statistical software) → License → Proprietary. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
JMP (statistical software)DeveloperJMP Statistical Discovery LLC1.00infobox
JMP (statistical software)LicenseProprietary1.00infobox
JMP (statistical software)Operating systemWindows, Macintosh, Windows Server1.00infobox
JMP (statistical software)Stable releasev19.0.4 / 15. December 20251.00infobox
JMP (statistical software)TypeStatistical package, visualization, multivariate analysis, Design of Experiments, genomics, biomarkers, clinical1.00infobox
JMP (statistical software)Websitejmp.com1.00infobox
data mininginstance ofDiscoveries made using JMP's analytical tools are commonly applied for experimental design.JMP is used in applications0.80text
Six Sigmainstance ofDiscoveries made using JMP's analytical tools are commonly applied for experimental design.JMP is used in applications0.80text
quality controlinstance ofDiscoveries made using JMP's analytical tools are commonly applied for experimental design.JMP is used in applications0.80text
design of experimentsinstance ofDiscoveries made using JMP's analytical tools are commonly applied for experimental design.JMP is used in applications0.80text
as well as for research in scienceinstance ofDiscoveries made using JMP's analytical tools are commonly applied for experimental design.JMP is used in applications0.80text
engineeringinstance ofDiscoveries made using JMP's analytical tools are commonly applied for experimental design.JMP is used in applications0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around JMP (statistical software) bring nearby vocabulary together. In this analysis, examples include Data, Sas and Used. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • JMP (statistical software)
    • Data
    • Sas
    • Used
    • Statistical
    • Software
    • Language
    • Analysis
    • Version
    • User
    • Also
    • Jsl
    • Clinical
  • jmp (statistical software)
    • Data
    • Sas
    • Used
    • Language
    • Statistical
    • Software
    • Also
    • Analysis
    • System
    • Version
    • Clinical
    • Pro
  • statistical analysis
    • Statistical
    • Sas
    • Graphical
    • System
    • User
    • Jmp
    • Software
    • Users
    • Data
    • Macintosh
    • Available
    • Improvements
  • data mining
    • Jmp
    • Mining
    • Predictive
    • Sas
    • Users
    • Used
    • Software
    • Improvements
    • Modelling
    • Tools
    • Version
    • Added
  • design of experiments
    • Experiments
    • Applications
    • Used
    • Statistical
    • Windows
    • Interface
    • User
    • Support
    • New
    • Software
    • Macintosh
    • Jmp
  • sas institute
    • Statistical
    • Data
    • Also
    • Software
    • Used
    • Using
    • Clinical
    • Interface
    • Language
    • User
    • Users
    • Jsl
  • experimental design
    • Experiments
    • Applications
    • Used
    • Windows
    • Statistical
    • Software
    • Jmp
    • Macintosh
    • Graphical
    • Made
    • Modelling
    • Operating
  • quality by design
    • Experiments
    • Applications
    • Used
    • Windows
    • Statistical
    • Software
    • Jmp
    • Macintosh
    • Graphical
    • Made
    • Modelling
    • Operating

Connections between topic areas Semantic bridges

For JMP (statistical software), one of the stronger structural bridges in this analysis connects JMP (statistical software) with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
JMP (statistical software) — Overview · splits 24 ⟂ 14
JMP (statistical software) — Notable applications · splits 29 ⟂ 9
JMP (statistical software) — History · splits 30 ⟂ 8
JMP (statistical software) — Software · splits 32 ⟂ 6

Map overview Semantic statistics

JMP (statistical software)

Nodes38
Edges37
Triples28
Avg. degree1.95
Density0.052632
Components1

Source & methodology

TTTA analyzes the structure around JMP (statistical software) to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — JMP (statistical software) · EN edition · Analysis: TopicsToTalkAbout

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