– New Multiple Factor Analysis for sensory analysis to help identify groupings of similar products and detect outliers that can skew results. – A-optimality criterion in Custom Design for putting different emphasis on groups of parameters through weighting. Addition of JSON parsing functions makes it much easier to get web data into JMP. – HTTP Request to communicate with external web servers through JSL. – Interface to Python to connect to Python, send data, execute Python code and return data to JMP for analysis or visualization. – Graph Builder improvements including the new packed bars chart, which combines elements from treemaps and Pareto plots finer graph customization and easy creation of custom error bars. – Multiple file import to quickly and accurately combine hundreds – or even thousands – of files into one JMP data table. – New Recode tools and automated routines to get data ready for analysis more quickly. – JMP Projects to organize files and manage multiple open windows with a drag-and-drop tabbed interface. Both JMP 14 and JMP Pro 14 are released today. And with JMP Pro 14, the advanced analytics version of JMP, users have new tools for predictive modeling.
#NAIVE BAYES ADDIN FOR JMP PRO DOWNLOAD SOFTWARE#
The 14 version of JMP statistical discovery software from SAS provides users new opportunities for faster, deeper insights across the entire analytics workflow: new ways to connect to data sources, new tools to streamline data cleanup, and more options for data visualization and designed experiments. Updated: Added SAS JMP Statistical Discovery Pro 14.3.0 macOs with updated license Languages: English, 日本語, Simplified 中文, 한국어, Français, Deutsch,
0 kommentar(er)
