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.
"With the release of JMP 14, there are new ways to do all this." Sall marks the launches today with the keynote speech "Projections and Encapsulations" at Discovery Summit Europe in Frankfurt. "As our tables get more numerous, our data gets bigger and our models have more features to encapsulate, we look for improvements to organize, contain and model," said John Sall, co-founder and Executive Vice President of SAS and head of SAS' JMP business unit. And with JMP 14, we're getting a lot of new toys," says Kevin White, Applied Statistics Group Leader at Eastman Chemical Company.
"When a new JMP version is released, it's the professional equivalent to opening birthday presents.
#JMP GRAPH BUILDER Y2 PRO#
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. FRANKFURT, Germany, Ma/PRNewswire/ - The latest 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.
0 kommentar(er)
