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• Explore data visually
• Tackle your routine and difficult statistical problems
• Get the most out of your data
• Make new discoveries
• Share your data
PAT Rating™
Editor Rating
Aggregated User Rating
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Ease of use
7.6
7.4
Features & Functionality
7.6
6.7
Advanced Features
7.7
8.8
Integration
7.5
8.5
Performance
7.5
9.0
Customer Support
7.7
8.5
Implementation
8.9
Renew & Recommend
9.0
Bottom Line
JMP helps you tackle your routine and difficult statistical problems. From easily accessing your data from various sources, to using quick, reliable data preparation tools, and performing choice statistical analyses, JMP lets you get the most out of your data in any situation.
7.6
Editor Rating
8.4
Aggregated User Rating
4 ratings
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JMP is the data analysis tool of choice for hundreds of thousands of scientists, engineers and other data explorers worldwide. Users leverage powerful statistical and analytic capabilities in JMP to discover the unexpected. JMP helps you tackle your routine and difficult statistical problems.
From easily accessing your data from various sources, to using quick, reliable data preparation tools, and performing choice statistical analyses, JMP lets you get the most out of your data in any situation. Using this JMP platform, you specify only the primary table and one or more secondary tables, and Query Builder automatically matches foreign keys in the primary table to primary keys in the secondary tables.
So joining is no longer a laborious process – it becomes automatic. Graph Builder is the best way to begin exploring and graphing your data dynamically. Interactively build simple or complex graphical displays, just by dragging and dropping. Simply drag the variables into position, choose the graph element from an icon palette, and customize the display to get your final, publication-quality result.
Graph Builder always gives you options that make sense for your situation. In JMP, once you've identified the columns that interest you, the Distribution platform automatically provides graphs and statistics based on the variable's defined modeling type.
Quickly get histograms, summary statistics, box plots and quantiles for continuous data, capability analysis, distribution fitting and frequencies for nominal or ordinal values. At the heart of the JMP model-fitting toolkit is the Fit Model platform. Fit Model lets you construct model terms and select from different methods, including standard least squares fitting, stepwise and all possible models.
Build models with drag-and-drop ease using interactive model editing. You can also build other models, such as MANOVA, repeated measures, generalized linear, loglinear variance or logistic regression (nominal and ordinal).
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By clicking Sign In with Social Media, you agree to let PAT RESEARCH store, use and/or disclose your Social Media profile and email address in accordance with the PAT RESEARCH Privacy Policy and agree to the Terms of Use.