SAS JMP Pro 17.0

SAS JMP Pro is a statistical analysis software package used in research, development and quality control in various industries. It provides a wide range of statistical tools for data visualization, data analysis, and data mining. Enhance the power of your predictive models with a variety of data, including the unstructured text data you've collected – repair logs, technical reports, survey feedback comments close to customers, etc. Use JMP Pro to organize and transform data into usable complements to your predictive models, allowing for more confident decision making.

Additionally, JMP Pro makes it easy to find the model that best fits your data using model filtering. Easily build candidate models, then profile, compare, and generate codepoints using C, Python, JavaScript, SAS, or SQL.

Features of SAS JMP Pro

• Data Visualization: SAS JMP Pro provides a wide range of interactive tools for data visualization, including scatter plots, histograms, box charts, and tree diagrams. Users can customize their visuals by adding labels, legends, and colors.
• Statistical Modeling: The software provides a wide range of modeling techniques for regression, ANOVA, mixed model and general linear model. These models can be used to analyze data from experiments and surveys and make predictions.
• Quality Control: SAS JMP Pro includes quality control tools, such as control charts and capabilities analysis, that help users monitor and improve the quality of their products and services they.
• Design of Experiments: The software provides many tools for designing experiments, including factorial design, reaction surface design, and mixture design. These tools allow users to optimize their processes and products.
• Predictive Modeling: SAS JMP Pro provides a wide range of predictive modeling techniques, such as decision trees, neural networks, and support vector machines. These models can be used to make predictions and to classify data.
• Data integration: SAS JMP Pro can integrate data from a variety of sources, including spreadsheets, databases, and SAS datasets. This feature allows users to access and analyze data from multiple sources in a single environment.
• Collaboration: The software includes collaboration tools, such as shared projects and reports, that allow users to work together on projects.