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View layout

View Layout contains relative positions of viewers in a table view, along with the viewers' properties. By separating layouts from the actual data displayed, we now can save current layout (View | Layout | Save to Gallery) and later apply it to a different dataset (View | Layout | Open Gallery).

To clone current view, either do View | Layout | Clone, or click on the plus sign on the view header strip, and choose Clone.

Viewer layout

Similarly to view layout, it is possible to reuse the settings of individual viewers. Under the 'Viewer' menu (either right-click on the viewer, or click on the 'hamburger' menu on the top left), you will find the following layout-specific commands:

  • Clone
  • Save to Gallery

To open a gallery containing viewer and view layout suggestions: View | Layout | Open Gallery

Layout suggestions

Moreover, the platform will proactively suggest layouts (even created by other users) to be applied to your data, if a previously saved layout can be used for visualizing currently opened dataset. The suggestions are based on the layout applicability, popularity and specificity of the layout, as well as on the previously observed actions.

To check layouts applicable to the current table, open 'Layouts' pane on the left. Alternatively, open the specialized view/viewer layout suggestion panel: View | Layout | Open Gallery

Layout applicability

When a view layout is saved, the visual arrangement of the viewers along with the metadata of the layout data columns ( columns selected on viewers, such as "X" column on a scatter plot) gets saved. Metadata includes column name, type, semantic type, and other metadata.

To determine whether a view layout is applicable to a particular table, the platform checks whether all layout data columns could be mapped to the table columns. There are few different ways a layout column gets mapped to the table column, which are evaluated in the following order:

  1. Column names AND column types match
  2. Both columns have the same layout-id
  3. Both columns have the same semantic type

See also: