Add Data Insights to Visualizations

You can select specific data insights charts provided by machine learning and add them directly as a visualization in your project’s visualization canvas.

  1. Create or open a data visualization project. Confirm that you’re working in the Visualize canvas.
  2. In the Data Panel, right-click a data element (attribute or measure) and select Explain <Data Element> to display the Explain <Data Element> dialog tabs:
    • Basic Facts about <Data Element> - Shows the basic distribution of the data element (attribute or measure) values across the data set and its breakdown against each one of the measures in the data set.
    • Key Drivers of <Data Element> - Shows data elements (attributes or measures) that are more highly correlated to the outcome for the selected data. The charts showing the distribution of the selected attribute value across each of the correlated attributes values is displayed.
    • Segments that Explain <Data Element> - Shows the segments or group in the data set, after examining all the records, that can predict the value of the selected data element. You can select a particular segment or group and then continue to analyze it.
    • Anomalies of <Data Element> - Shows the group of anomalies or unusual values in the data set that you can relate to the selected data element (attribute or measure). You can review and select particular group of anomalies.
  3. Use the Explain dialog to help you configure your visualizations.
    • When you click a data element (attribute or measure), information for the selected data element is highlighted in the segments below.

    • You can select more than one data element (attribute or measure) at the same time to see results in the segments.

    • You can also sort how the information is displayed in the Segments (High to Low, or Low to High, group by Color, or sort by data element Value).

    • For each Segment in the decision tree, summary rules for the percentage of the data element and other metadata about the section are displayed. For example, a certain Segment might show that a particular percentage of the selected attribute (data element) belongs to a specific group like location, data point, another attribute, or measure. You can then select a specific group, like location, to analyze the selected attribute.

    • The Anomalies section finds data points that don't fit the expected pattern.

  4. Click the check mark when you hover the mouse pointer over any of the data insight charts to select a specific chart.
  5. Click Add Selected to add the charts you’ve selected as different visualizations in your project’s visualization canvas. You can manage data insight visualizations like any other visualizations you’ve manually created on the canvas.