Unlike the Measure List, the Dimensions List comprises of columns representing all the initially available Dimensions to use. Each column displays the dimension header and its associated values.




You can use the Dimensions in the Dimension List to drill down into the data by clicking on the item of interest in each subset. A highlighted dimension header means it is selected for view in the Analysis Area. Highlighted dimension value(s) means the Analysis Area will represent data filtered by the selected dimension value(s).

Highlighting a dimension header and value(s) can be mutually exclusive. That is, a dimension header can be selected without any of its values selected, and vice versa. Dimensions initially listed are those that are required for the originating Visualization shown in the main dashboard.

If additional Dimensions are required for your analysis, or if more detail is desired, click on the Show Dimensions button (indicated by a plus sign) to open a dropdown list of additional information you can choose to include. Each Visual with Explorer View enabled has different additional Dimensions available, which are mentioned in the section describing each visual.






The use of additional dimensions adds granularity (more details) to the data. Table may be the most appropriate Visualization type to use.





When adding or removing dimensions, Explorer view is set by default to immediately apply the change, closing the dimension selection dropdown. This means you can add or remove only one dimension at a time.



If you would like to make multiple dimension changes before applying to the visual, click the Synchronize Visualization Automatically icon to deselect, before starting to make your dimension changes.




)footnote1
Last modified: 17 February 2023

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