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Members (e.g. April) get referenced by data points to build a unique address of member-dimension relations

Hierarchy

  • Member

Index

Properties

Optional aggregationType

aggregationType: AggregationType

A member containing the attribute isAggregate with a value of true must also specify the aggregation type

Optional attributes

attributes: {}

reference to attribute member keys by attribute dimensions WARNING: in contrast to a DataPoint's address this address-like attributes object must not reference an attribute member key of each attribute dimension because:

  • attributes are independent from each other
  • there would be a problem with sum or hierarchy node members representing multiple attribute members, so instead they would have no attribute member assigned

Type declaration

  • [attributeDimensionKey: string]: string

Optional isAggregate

isAggregate: boolean

Defines, whether the value of a data point containing the member represents an aggregation. Members are aggregate members when the value of data points assigned to them summarizes other members OF THE OWN DIMENSION (Therefore leafs of explicit hierarchies must not be aggregates). Member nodes of explicit hierarchies don't necessarily have to be an aggregate one, but in most scenarios they are. Since hierarchies are mathematically defined as being transitive, all child levels of an aggregate (sub) tree root must define an aggregate, too.

key

key: string

name

name: string

Optional parentMemberKey

parentMemberKey: string

used to define a forest; mandatory for explicit hierarchy members except for root ones

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