![]() Each product category is comprised of multiple products. For example, a measure in the FactSales table is created with the following formula: Sum of TotalProfit: =SUM()Ī sales analyst, using Excel, wants to know the total profit for a category of products. The TotalProfit calculated column can then be used in a reporting client just as any other column.Ī measure, on the other hand, evaluates to a value based on a user selection a filter context set in a PivotTable or report. For example, in a FactSales table, a calculated column named TotalProfit with the following formula calculates a value for total profit for each row (one row per sale) in the FactSales table: =. In a calculated column, a formula evaluates to a value for each row in the column. It is important to understand the fundamental differences between a calculated column and a measure. Measures are usually created in Fact tables however, measures can be independent of the table it is associated with. Depending on perspectives and roles, measures appear in the Field List with their associated table, and are available to all users of the model. When measures have been defined in a model, users can then add them to a report or PivotTable. In addition to the formula, each measure has properties defined by the measure data type, such as Name, Table Detail, Format, and Decimal Places. ![]() ![]() Measures can be based on standard aggregation functions, such as AVERAGE, COUNT, or SUM, or you can define your own formula by using DAX. Measures are evaluated based on fields, filters, and slicers users select in the reporting client application. In tabular models, a measure is a calculation created using a DAX formula for use in a reporting client.
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