Prompt
Answer
DAX Formula to Sum a Calculated Measure
Requirement
You need a DAX formula that sums a calculated measure across your data model.
DAX Formula
Assuming the calculated measure is named Calculated Measure
, the formula to sum this measure would be:
Total Summed Measure = SUMX(VALUES(Table[Column]), [Calculated Measure])
Explanation of the Formula
- SUMX Function: This is an iterator function that takes a table (or a set of values) and evaluates an expression for each row, then returns the sum of the results.
- VALUES Function: This returns a one-column table that contains the distinct values from the specified column (in this case,
Table[Column]
). It's used to ensure that the summation is performed over unique entries in the specified column. - [Calculated Measure]: This refers to the measure you have already defined. The measure is evaluated for each distinct value in the column specified.
Practical Example
Assuming you have a table named Sales
with a calculated measure [Total Sales Amount]
that calculates total sales for various regions, you can use the below formula to sum the calculated measure.
Total Sales Summed = SUMX(VALUES(Sales[Region]), [Total Sales Amount])
Use Case
- Purpose: This formula would return the total sales amount across all unique regions in your
Sales
table. This could be particularly useful in reports where regional summation needs to be displayed alongside other metrics. - Performance: Utilizing
SUMX
withVALUES
ensures that you are not summing over duplicated or irrelevant context filters, providing a more accurate sum.
Summary
This DAX formula provides a structured approach to summing a calculated measure over a specific context. By utilizing SUMX
and VALUES
, you ensure accurate calculations while accommodating complex filtering scenarios in your reports. For further enhancement of DAX skills, you may consider resources available on the Enterprise DNA Platform.
Description
This guide details a DAX formula to sum a calculated measure by utilizing the SUMX and VALUES functions, ensuring accurate totals across unique entries in your data model, with practical examples for effective reporting.