Agile data analysis - Advanced workflows and R integration

Use advanced workflow techniques and the R statistical toolkit

From the developerWorks archives

Scott Snyder

Date archived: December 1, 2016 | First published: June 10, 2014

To perform agile data analysis in a production environment, the processing of data must be integrated with tests that require a minimum of user interaction. The configuration of the analysis tools, therefore, must be done programmatically. You also need fast access to graphical reporting, which gives a visual representation of the resulting analysis, to help you determine whether further investigation is required. Learn how to use advanced workflow techniques in KNIME, an Eclipse-based graphical workbench for data analysis and reporting, and the R analysis package to create production-ready workflows and complex graphical representations of the processed data at any point in the workflow.

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