JMP Software Features and Overview

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What Is JMP Software ?

JMP is a statistical software package. It is designed for dynamic data visualization and exploration, as well as for performing advanced statistical analyses. JMP is commonly used in various fields such as engineering, healthcare, finance, and research for tasks ranging from quality control to data mining and predictive modeling.

JMP Data Analysis Tool Overview

• Provides comprehensive data exploration with powerful statistics.
• Offers quick, reliable data preparation tools and choice statistical analyses.
• Enables deeper understanding of complex relationships and unexpected findings.
• Offers interactive visualization for seamless data sharing and storytelling of findings.

Core Capabilities of JMP

  •  Data Acquisition ( Explore data easily in many forms – import Excel files, read text files, and pull data from ODBC-compliant databases.)
  • Data Cleanup ( Screen data for outliers, entry errors, missing values, and other inconsistencies that can compromise your analysis.)
  • Data Visualization ( Explore and graph data dynamically, developing visualizations that tell the story of your data.)
  • Basic Data Analysis ( Use histograms, regression, distribution fitting, and other analysis tools to launch data exploration.)
  • Text Exploration ( Extract words and phrases or visualize and organize words to uncover latent information in your text.)
  • Group, Filter, and Subset Data ( Quickly arrange data to identify emerging patterns and focus on key findings.)
  • Design of Experiments ( Design your experiment based on the problem at hand, accounting for budget, timing, and other constraints.)
  • Statistical Modeling (Understand trends and patterns using statistical models to learn more about your business, competition, and customers.)
  • What-if Analysis ( Demonstrate patterns of predicted response and the effect of each factor on the response with scenario analysis.)
  • Reliability Analysis( Gain insight into product performance, pinpoint defects in materials or processes, and address design vulnerabilities.)
  • Quality and Process Engineering( Use JMP to enhance quality – minimize customer complaints and deliver products and services that exceed expectations.)
  • Consumer and Market Research ( Understand and adapt to evolving markets using data mining, survey analysis, choice experiments, and other tools.)
  • Sharing Results (Share your dynamic visualizations in a variety of formats, whether your audience has JMP or not.)
  • Automation and Scripting ( Use scripting to automate processes, regenerate analysis reports, and add new JMP capabilities.)
  • Making JMP Your Own (Customize every aspect of JMP settings to work the way you think.)
  • Analytics Hub ( Use the JMP interface to leverage other analytics tools, such as SAS®, MATLAB, R, and Python.)

Features of JMP Advanced Statistical Modeling

Features of JMP Automation and Scripting

Features of JMP Basic Data Analysis and Modeling

Features of JMP Consumer and Market Research

Features of JMP Content Organization

Features of JMP Data Access

Features of JMP Data Blending and Cleanup

Features of JMP Data Exploration and Visualization

Features of JMP Design of Experiments

Features of JMP Mass Customization

Features of JMP Predictive Modeling and Machine Learning

Features of JMP Quality and Process Engineering

Features of JMP Reliability Analysis

Features of JMP Sharing and Communicating Results