Modifying results of data sample
Modifying results of a data sample can be useful when you need to retain only specific data from the entire dataset for your operations.
You can change the sample results for built-in datasets and your own data: uploaded as a file and uploaded via API.
When you change the results, only the data sample changes. The data itself remains unchanged.
When creating a layer
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Go to the Main or Data tab.
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Select the required category of the built-in data or the uploaded dataset.
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On the Filters tab, select a Territory.
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If you selected the uploaded data that contains geometries of the line or polygon type, you can select the data display method on top of the Filters tab:
- Points: display as centroid points (the centers of the object geometries).
- Geometries: display as real data geometries (lines or polygons).
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Set the remaining filter parameters if necessary.
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Go to the Results pane.
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Click Edit list.
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Select the required items.
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Click Create layer.
If there are no dashboards in the project yet, the first dashboard is created, and the layer with data is automatically added to it.
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If there is a dashboard in the project, specify where to add the layer in the dialog box:
- Select the created dashboard in the list and click Create.
- Click Add to the new dashboard, enter a name of the new dashboard, and click Create. A new dashboard is created, and the layer with data is automatically added to it.
Working with the created layer
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Go to the Dashboards tab.
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Select the required dashboard.
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Click icon.
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Select the required layer.
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Click Edit dataset.
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Go to the Results pane.
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Click Edit list.
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Select the required items.
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Click Apply.
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To finish editing, click one of the buttons:
- Update layer: all changes are saved, and the layer is updated.
- Create layer: a new layer is created and added to the current dashboard.
- Back to layer: the changes are not saved, and the current dashboard is opened.
What's next?
- Quick start.
- Get to know how to work with Data visualization.
- Get to know more about Layers, Dashboards, and Widgets.
- Get to know prepared Analytics presets.