Hierarchies in Data Dictionary

Hierarchies in Data Dictionary

Creating Hierarchy

In a data dictionary, you can rearrange or change the order of the features of the newly created dataset using the Hierarchy function.

(info) Note: 

The created hierarchy can be used only in the Dashboard application.

To create the hierarchy, follow the steps given below.

  1. Click the ellipsis () corresponding to the Hierarchy feature in the right pane.
  2. Click Create New Hierarchy.



    The Create Hierarchy page is displayed.
  3. Enter the Hierarchy Name.
  4. Double click the features from the Available Columns list to the Selected Columns in Hierarchy to create a hierarchy.
    Alternatively, you can select the checkboxes of the features to add them to the Selected Columns in Hierarchy.
  5. Click Create.



    The Create Hierarchy page is closed. The newly created hierarchy is displayed in the right pane under the Hierarchy function.



  6. Click the Save icon (  ) on the top right corner of the Data Dictionary page.
    The hierarchy is saved to the data dictionary.

(info)Notes:

  • You can change the order of the features in the Selected Columns in Hierarchy list. Hover over the column you want to move and use up-down arrows to move the features up and down, respectively.
  • You can delete any feature in the Selected Columns in Hierarchy list. Hover over the column you want to delete and click the () icon.
  • You can delete all the features in the Selected Columns in Hierarchy list at a time. Click Remove All (), and all the features from the list are removed.

Editing Hierarchy

After you create a hierarchy, you can edit it. For creating a hierarchy, refer to Creating Hierarchy.
In Editing Hierarchy, you can,

  • Change the name of the hierarchy.
  • Add new features to the hierarchy.
  • Update the order of the features in the hierarchy.
  • Delete the features from the hierarchy.

To edit the hierarchy, follow the steps given below.

  1. Click the ellipsis () corresponding to the created hierarchy in the right pane.
  2. Click Edit Hierarchy.


    The Edit Hierarchy page is displayed.

  3. Edit the details of the hierarchy and click Update.


    The Edit Hierarchy page is closed, and the updated hierarchy is displayed in the right pane under the Hierarchy function.


  4. Click the Save icon () on the top right corner of the Data Dictionary page.
    The hierarchy is saved to the data dictionary.

Deleting Hierarchy

After you create a hierarchy, you can delete it if it is no longer required. For creating a hierarchy, refer to Creating Hierarchy.
To delete the hierarchy, follow the steps given below.

  1. Click the ellipsis () corresponding to the created hierarchy in the right pane.
  2. Click Delete Hierarchy.



    The hierarchy is deleted from the data dictionary.

    • Related Articles

    • Using Dashboard Hierarchies

      In a data dictionary, you can rearrange or change the order of the features in the newly created dataset using the Hierarchy function. The created hierarchy is used in the RubiSight application. To use the created hierarchy in a dashboard, follow the ...

    • Editing Data Dictionary

      After you create a data dictionary, you can edit it. For creating a data dictionary, refer to Creating New Data Dictionary. In Editing Data Dictionary, you can, Add, edit, and delete datasets from the data dictionary canvas. Add new features to the ...

    • Deleting Data Dictionary

      You can delete a data dictionary when it is no longer needed. To delete the data dictionary, follow the steps given below. Open the workspace that includes your data dictionary. Refer to Changing Workspace. On the home page, click Datasets. Recent ...

    • Exporting Data Dictionary

      You can export the data dictionary to save it to your computer. To export a data dictionary, follow the steps given below. Open the workspace that includes your data dictionary. Refer to Changing Workspace. On the home page, click Datasets. Recent ...

    • Creating New Data Dictionary

      You can create a new data dictionary with the help of existing datasets. It allows you to reuse the datasets and add new features to them while creating a new dataset. To create the new data dictionary, follow the steps given below. On the home page, ...