Analysis apps are bundled sets of analytics that import and prepare source data, and then perform analysis. You run analysis apps in the Analysis App window, a freestanding component of Analytics.
Analytics are regular Analytics scripts with additional annotations that allow the scripts to run in the Analysis App window. If an Analytics project (.ACL) contains at least one analytic, it can be packaged and used as an analysis app. The packaging of analysis apps makes them easily portable and sharable.
For information about developing analytics, including converting scripts to analytics, and packaging analysis apps, see Analytic scripts.
Extend the reach of Analytics
Users without any scriptwriting knowledge can use the Analysis App window to run analytics created by Analytics script writers in Analytics. Analytics script writers can design analytics that control user input and guide users through the process of running an analytic. This ability to share Analytics scripts and analytics in a controlled and easy-to-use manner extends the reach of Analytics to a broad range of users without requiring them to learn anything about scripting in Analytics, or even to open Analytics.
Data interpretations and visualizations
The Analysis App window includes a data interpretation and visualization capability. You can filter, sort, and highlight data, and create various charts based on the data. You can use interpretations and visualizations with any of following data:
- Results tables produced by analytics run in the Analysis App window
- Any data tables included with an analysis app
- Any tables in an Analytics project
For more information, see Interpretations and visualizations.
