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JMP statistical discovery software
Author(s) -
Jones Bradley,
Sall John
Publication year - 2011
Publication title -
wiley interdisciplinary reviews: computational statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.693
H-Index - 38
eISSN - 1939-0068
pISSN - 1939-5108
DOI - 10.1002/wics.162
Subject(s) - computer science , software , workflow , notice , data exploration , software engineering , graphical user interface , data science , interface (matter) , user interface , statistical software , process (computing) , data mining , database , visualization , programming language , operating system , bubble , maximum bubble pressure method , political science , law
JMP is a statistical software environment that enables scientists, engineers, and business analysts to make discoveries through data exploration. One powerful method for beginning the process of discovery employs statistically designed experiments. A well‐designed experiment ensures that the resulting data have large information content. We support this method with custom design, an innovative approach to the statistical design of experiments. But whether your results come from designed experiments or from an observational study, we provide analytical tools that put graphs up front. JMP's graphical user interface (GUI) makes these plots interactive and dynamically linked to each other and to the data. Moreover, in the design of JMP's user interface the priority was to make a smooth and natural workflow for data analysis. Notice how the data exploration flows in the following case study that investigates the relationship between life expectancy and health‐care spending for 166 countries. WIREs Comp Stat 2011 3 188–194 DOI: 10.1002/wics.162 This article is categorized under: Software for Computational Statistics > Software/Statistical Software