What Is JMP?
JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics.
Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed.
Who Uses JMP?
JMP lets you explore data more fully with powerful statistics, discover meaningful findings by digging deeper into your data and share your discoveries with interactive visualization.
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Reviews of JMP
SHRUTI
JMP software for academic purposes
Comments: 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.
Nanditha
JMP is a useful software
Comments: 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).
Verified Reviewer
Great product for statisticians and non-statisiticians
Comments: It's a great software to use for new and experienced professionals in the manufacturing and biologics industry.
Pros:
I like the functionality and ease of use for both statisticians and non-statisticians. There's point and click and scripting that you can use to make data visualizations, models, and more (such as simulations). I like that you can make your own templates with the use of the scripting language and modal windows for yourself and your clients to use.
Cons:
The scripting language is not flexible as R; it is a lot like SAS with not much syntax overlap.
Prathamesh
Alternatives Considered:
A statistical tool for everybody.
Comments: 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.
Verified Reviewer
All-in-one No-code Platform for Data Analysis!
Comments: JMP have helped me in quickly performing exploratory data analysis in my local system on the data to gain insights on customer data and also have allowed me to apply predictive analysis as per the use cases .It have enabled me to quickly deliver presentations from visualizations generated from dashboards.
Pros:
1.Easy to use and user friendly UI 2.Allows you easily load your data from database or csv files,etc 3.Support for algorithms for data analysis and modeling 4.Comes with good data manipulation and visualization features 5.The application is installed in your local system, allowing it to be accessed anytime. 6.Good Documentation support
Cons:
1.Lesser Features available in free trail had to upgrade to pro version for complete experience 2.Cost is a bit high as compared to other similar tools 3.More data sources support can be added
