Use member properties to explore and analyze data
Member properties are attributes of dimension members. You define the names and types of member properties for each dimension level, and the member property's value varies for each dimension member. For example, if you have a Customer dimension organized by country, state, city, and name, the customer name level might have the member properties gender, age, education level, and income level. The city level might have member properties such as mayor, population, and average temperature. (See "Member Properties," August 1999, for details about OLAP member properties.)
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