The available simulations are basic simluations which are capable to produce certain amount of data predictions. Overall JMP is must use tool for statisticians.Ĭons: JMP doesn't provide any tools to analyze data using high level simulations. New methods like segmentation and conjoint analysis are also available in JMP. The profiler component of the JMP is very useful to share analysis and reports using web interface. The results displayed are very good graphic display, easy to save and copy graphs other documents. Drag and drop functionality is very useful when it comes to handling lots of data. The dashboard application makes it very easy for the user to carry out the complex operations for the advance multivariate methods. For multivariate statistics JMP is a good tool when it comes to analyzing data using linear regression, ANOVA, MANOVA, and logistic regression. The tool accepts data in different formats csv, xlsx, and dat format. Data mining, data cleaning, and descriptives statistics can be very easily performed on JMP. It has a dashboard which is easy to navigate and feature enabled. Anybody with no experience and training can use JMP with ease. It is is one of the statistical package software which doesn't require coding skills. It is very easy to use and requires no prior experience. Pros: JMP comes with lots of feature and functionality.
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