denseRank - Amazon QuickSight

Important: We've redesigned the Amazon QuickSight analysis workspace. You might encounter screenshots or procedural text that doesn't reflect the new look in the QuickSight console. We're in the process of updating screenshots and procedural text.

To find a feature or item, use the Quick search bar.

For more information on QuickSight's new look, see Introducing new analysis experience on Amazon QuickSight.

denseRank

The denseRank function calculates the rank of a measure or a dimension in comparison to the specified partitions. It counts each item only once, ignoring duplicates, and assigns a rank "without holes" so that duplicate values share the same rank.

Syntax

The brackets are required. To see which arguments are optional, see the following descriptions.

denseRank ( [ sort_order_field ASC_or_DESC, ... ] ,[ partition_field, ... ] )

Arguments

sort order field

One or more aggregated fields, either measures or dimensions or both, that you want to sort the data by, separated by commas. You can either specify ascending (ASC) or descending (DESC) sort order.

Each field in the list is enclosed in {} (curly braces), if it is more than one word. The entire list is enclosed in [ ] (square brackets).

partition field

(Optional) One or more dimensions that you want to partition by, separated by commas.

Each field in the list is enclosed in {} (curly braces), if it is more than one word. The entire list is enclosed in [ ] (square brackets).

calculation level

(Optional) Specifies the calculation level to use:

  • PRE_FILTER – Prefilter calculations are computed before the dataset filters.

  • PRE_AGG – Preaggregate calculations are computed before applying aggregations and top and bottom N filters to the visuals.

  • POST_AGG_FILTER – (Default) Table calculations are computed when the visuals display.

This value defaults to POST_AGG_FILTER when blank. For more information, see Using level-aware calculations in Amazon QuickSight.

Example

The following example densely ranks max(Sales), based on a descending sort order, by State and City. Any cities with the same max(Sales) are assigned the same rank, and the next city is ranked consecutively after them. For example, if three cities share the same ranking, the fourth city is ranked as second.

denseRank ( [max(Sales) DESC], [State, City] )

The following example densely ranks max(Sales), based on a descending sort order, by State. Any states with the same max(Sales) are assigned the same rank, and the next is ranked consecutively after them. For example, if three states share the same ranking, the fourth state is ranked as second.

denseRank ( [max(Sales) DESC], [State] )