percentileRank

The percentileRank function calculates the percentile rank of a measure or a dimension in comparison to the specified partitions. The percentile rank value(x) indicates that the current item is above x% of values in the specified partition. The percentile rank value ranges from 0 (inclusive) to 100 (exclusive).

Syntax

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

percentileRank
(
      [ sort_order_field ASC_or_DESC, ... ] 
     ,[ {partition_field}, ... ]
)

Arguments

sort order field

One or more aggregated measures and dimensions that you want to sort the data by, separated by commas. You can specify either 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 does a percentile ranking of max(Sales) in descending order, by State.

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

The following example does a percentile ranking of Customer Region by total Billed Amount. The fields in the table calculation are in the field wells of the visual.

percentileRank(
     [sum({Billed Amount}) DESC],
     [{Customer Region}]
)

The following screenshot shows the results of the example, along with the total Billed Amount so you can see how each region compares.