Customizing the Visualization of Your Debrief

For each type of debrief, Smart Predict proposes a default overview. You can customize the generated debrief by selecting the icon.

Context

To customize the generated debrief, use the Visualizations Settings dialog box. Depending on the metrics you want to display, different options are available.
Remember
The customized settings are stored for each type of predictive model and user. For example, if you customize a classification debrief for a given predictive model, the debrief of all the other classification predictive models is updated with the same change. However, the debrief settings for other users are not affected; their customizations are unchanged.
Note
To return to the default visualization settings, click Reset.

Procedure

  1. Click the icon next to the area you want to customize.
  2. In the Data section, change the sorting/ranking options if required. These depend on the active metric.
  3. In the Display section, select another chart from the Type list. The visualization types available depend on what kind of metrics you have.
    Note
    For example, a scatter plot visualization is only available if the metrics include at least two measures.
  4. In the Analysis section, select the information for the type of chart that you want to display.
    According to the type of visualization you have chosen at step 2, you can assign data fields to the feeding area of your visualization.
    For example, if you select a column chart to display the metrics, you define which data field to display in the X and Y axis. Also, you can map the data series of the chart to different metrics using the One color per option.
    Note
    When you change the type of visualization, the displayed information fields change accordingly. For example, if you choose a bar chart, you can select the category influencers to display on the X axis, the influencer or measure for the Y axis, and the colors for either the influencer or measure values. You can also choose to display a single chart, or separate charts for each iunfluencer or measure. These display options would change if you chose a table, for which you would only have columns to select.
  5. In the Interactivity section, select an element that limits the chart display to data that interacts with only that element. Depending on the type of chart, this could be a single influencer or measure.
    Note

    Some elements are mandatory because they are data fields that qualify the metrics. You must assign the mandatory elements to the boxes that specify the chart elements. Otherwise, the missing data field is automatically entered in the Selectors box.

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