Multiple data sources
Some visualization types support multiple data sources, while others do not. If your data visualization supports multiple data sources, the data sources must all be of the same type: all tables, all indicators, or all another type.
| Visualization type | Multiple data source support |
|---|---|
| All time series (line, column, spline, area, and others) | Supported |
| All scores (single score, dial, gauge) | Not supported |
| All bars (horizontal, vertical, Pareto) | Supported |
| Heatmap | Not supported |
| Pies and donuts | Not supported |
| Pivot table | Supported |
| Bubble | Supported |
| Boxplot | Not supported |
| Calendar report | Not supported |
| Geomap | Not supported |
| Indicator scorecard | Not supported |
| Analytics list | Not supported |
경고:
If you select multiple data sources for a visualization and then change the visualization type to one that does not support multiple data sources, you keep only the first data source. Switching back to a visualization
type that supports multiple data sources does not restore the previously selected data sources.
Example data visualization based on multiple data sources
Here's a simple example of a report based on the Indicator and Problem tables.
시작하기 전에
Role required: Anyone with access to data can create a visualization of that data on any dashboard that they can edit. Users with the itil, report_user, admin, or viz_creator role can create a visualization in the Visualization Designer. When you create a visualization in the Visualization Designer, it is saved to the Library. For more information on access, see Report_view access control and Platform Analytics roles.
프로시저
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Add the Incident [incident] table as a data source, with the custom condition Active is true.
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Group both data sources by Assignment Group.
The second source is grouped automatically by the same field as the first source.