Smart Mapping helps you instantly understand the key drivers in your data.
It is a supervised machine learning routine that enables you to select a target data feature and a set of additional features to be compared, then outputs those additional features sorted by their relative importance to the target. This helps you easily see the level of impact other features have on your target feature.
Smart Mapping also creates several AI-suggested visualizations for you to further interpret the results. This is especially useful in minimizing time to insight when working with a large number of features in your data.
Using Smart Mapping
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Click the Smart Mapping icon ( ) in the left-side toolbar to open the Smart Mapping panel.
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Choose a target feature from the Select a Target drop-down.
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Add other features by choosing them in the Select Features drop-down or using the Input All button. Choosing Input All will not input an already-selected target feature.
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(Optional) Remove unwanted features by hovering over the feature and clicking the remove button ( ).
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Click Run at the bottom of the panel.
Reviewing Smart Mapping Outputs
Once you've run the Smart Mapping routine, you'll see a number of outputs:
Insights
Upon Smart Mapping's completion, a Notification will appear to let you know if Insights have been identified. Simply click View Insights in the notification to open the Insights Panel. Alternatively, you can click Show Me Later to view Insights at a later time.
Feature Impact
The Smart Mapping panel will update to show the other features you selected and the level of impact on your target feature. This level of impact is shown as a bar chart under each feature.
Additionally, you can toggle between Sort By Ranking and by Correlated Groups by clicking the Menu icon ( ) at the top right of the Smart Mapping panel.
- Sort By Ranking: Lists features from highest to lowest impact on the Smart Mapping output from top to bottom.
- Correlated Groups: If Smart Mapping identifies correlations between your features, these groups will be displayed with the impact of those features on the Smart Mapping listed from highest to lowest within the groups. Any un-correlated features will be listed below.
Suggested Mappings
At the bottom of the Smart Mapping panel, you'll see additional AI-suggested visualizations to help you interpret your data. The suggested mappings consider the relative importance of the features and any correlations existing between them. Simply click on the left or right arrows to switch between and click Apply to update the mapping.
Default Mapping
Upon running Smart Mapping, Mapping View will automatically populate with a recommended visualization to help you interpret your data:
- If the target is a numerical feature, it will be applied to the color dimension and split into quartiles.
- If a categorical feature is within the first eight ranked features, it will be applied to Playback.
- The top binary categorical feature will also be mapped to Shape.
You can leverage the options in the Mapping Panel to adjust these items, any of the plots, or additional attributes.
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