JMP (SAS) is a statistical software suite designed for data analysis, visualization, and predictive modeling. It allows users to explore data interactively, perform advanced statistical analyses, and create detailed graphical representations to uncover insights and inform decision-making.
Top 5*
Analytics
About Jmp (Sas)
JMP (SAS) was created in 1989 by SAS Institute to address the need for interactive data analysis and visualization. It was developed to help scientists, engineers, and researchers perform complex statistical analyses more efficiently and intuitively.
Strengths of JMP (SAS) included its powerful data visualization capabilities, user-friendly interface, and robust statistical analysis tools. Weaknesses involved its high cost and steep learning curve for beginners. Competitors included IBM SPSS, Minitab, and R.
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How to hire a Jmp (Sas) expert
A JMP (SAS) expert must have strong skills in statistical analysis, data visualization, and predictive modeling. Proficiency in scripting with JSL (JMP Scripting Language) is essential. Knowledge of experimental design and data manipulation techniques is also crucial.
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