The DSS data visualization component lets you create a large variety of charts with a simple drag-and-drop interface.
The charts component is available in two places in DSS:
At the dataset level: when you are in a dataset, click the Charts tab
At the visual analysis level: click on the Charts tab
While the basic charting features are the same in both usages, there are several key differences
Charts on datasets are based on the dataset itself.
Charts in a visual analysis are based on the result of the preparation of the dataset by the preparation script of this analysis
In both cases, charts are by default based on a sample, but this sample can be configured to extend to the whole dataset. The sample can always be configured in the Sampling tab in the left column.
In a visual analysis, the sample is computed before applying the preparation. If you have a sample made of 20’000 rows but your preparation removes 4’000 rows, the chart will be based on 16’000 rows.
Charts in a visual analysis cannot use the “Live” processing engine which runs computations in the database.
For more information, see Sampling and charts engines
Charts in a visual analysis cannot be published on a Dashboard. Only charts on a dataset can be published.
If you want to publish charts in a visual analysis, you need to first Deploy your analysis to make a prepare recipe and a new dataset. When you Deploy, you have an option to copy the charts that were on the visual analysis in the output dataset.