JMP software for academic purposes

JMP has been a commendable companion for statistical problems whether in class or with research problems. Initially it does take some to learn the stuff with JMP but later that it is worth it!

Pros

It has a huge array of statistical functions that you can perform in minutes and obtain very catchy curves and graphs. It is an excellent tool for academic teaching and research. It has great tutorial links on learning how to use the software for one's specific purposes.

Cons

There is no option for Overlaying Gaussian/Normal plots while it is quite a useful feature. Also, even though you can copy the graphs staright up, you cannot copy the tables as they appear in the software.

JMP is a useful software

I have used JMP for design of experiments and statistical analysis during my masters and PhD and the software has been very accurate in my analyses.

Pros

JMP is easy to use for experienced users, and is relatively easy to learn. it is a very comprehensive statistical software.

Cons

although it is easy to use for experienced users, it is slightly challenging to learn (not difficult to learnt though).

Graph Builder function is amazing

My overall user experience in JMP is good because it provides an interactive Graph Builder function, and the graphs from JMP look better than Minitab.

Pros

The "Graph Builder" function in the "Graph" tab is one of my favorite functions in JMP. The user interface of Graph Builder is very intuitive. You can visually choose your Y-axis and X-axis, and you can also group X and Y data directly by dragging your data to the plot. Also, there are Map Shape, Frequency, and Wrap functions on the edges of the interface. At the same time, on the top of the user interface, you can easily switch plot types. This can help me find a proper visualization approach. Currently, I see 15 types of plots available in this Graph Builder, which are very useful in my daily work.

Cons

Comparing to Minitab, I feel it is a little more difficult to learn JMP. I hope JMP could prepare more training materials online. For example, in Minitab, in every functional interface, there is a "help button" that can connect me to Minitab's official website to learn this specific function by going through the examples provided by Minitab. I hope in the future, JMP could also consider this "Help" function.

A statistical tool for everybody.

Overall JMP is a very good statistical tool in it features and functionalities. For statisticians who are involved in industrial applications, JMP is a option for them. JMP gives full control and flexibility over data manipulation and analysis. Easy to operate method mechanism and drag and drop function through dashboard is a plus. Reports are very interactive and easy to export. Overall, recommended for statisticians.

Pros

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

Cons

JMP doesn't provide any tools to analyze data using high level simulations. The available simulations are basic simluations which are capable to produce certain amount of data predictions. Variable value designation is a big problem in JMP, the software fails to recognize the type of data when it comes to numeric value. For example, JMP sometimes fails to recognize the difference between number and a string. It is easy to upload an excel sheet in JMP, but the excel add-in takes more time to work, sometimes it even fails to operate. Error and bug fixing requires exhaustive customer support and it is very time consuming. Loading large amount of data is very tedious as it takes lot of time and it crashes very frequently. Other software integrations for JMP are quiet challenging. JMP's parent company SAS follows different set of integration codes because of which the intergration with most large scale software for data access becomes a challenge. Also, JMP is quite expensive for small business, the pricing is suitable for midsize and large companies. Overall, high level simulations, excel add-in, and pricing are the drawbacks of JMP.

Menu driven statistical software from the prestigous company of SAS

I like this software and have good experience in using it for statistical analysis. As I mentioned before I could recommend this software for industrial use but for academia, there are alternative options that are free or less expensive.

Pros

JMP provides the power of SAS-Stat in an easy menu-driven manner. It has four versions: JMP® Live, JMP® Pro, JMP® Clinical, and JMP® Genomics. The first two versions are for statistical modeling, the third is for pharmaceutical industries (facilitate hard works that previously need coding using SAS-Stat) and the last is for Genomics analysis. JMP live lets to collaborate using a web interface. JMP Pro is an advanced and easy-to-use statistical modeling software that supports novel high-dimensional statistical methods for example Functional Data Analysis which is not provided in other common menu-driven statistical software. Last but not least the JMP provides the advanced adaptive design of experiments which is needed in the optimization of products in industry.

Cons

JMP is expensive so I do not recommend it for academia but I highly recommend it for industrial use where getting fast and accurate result paly a role in the benefit of companies.