Dax Function: Aggregation Functions

Category: Aggregation functions

Aggregation functions in Power BI are a category of DAX (Data Analysis Expressions) functions used to perform summarization and calculations on datasets. These functions process data across rows in a column or evaluate expressions in a table, providing insights like totals, averages, counts, and more.

Purpose:

  • To compute summarized values from datasets for analysis, reporting, and visualization.
  • To support decision-making by providing meaningful metrics like totals, averages, or unique counts.

Use Cases:

  • Summing up sales or revenue data across regions or time periods.
  • Calculating the average performance metrics for employees or products.
  • Counting the distinct number of customers, transactions, or other unique identifiers.
FunctionDescription
APPROXIMATEDISTINCTCOUNTProvides an estimated count of unique values in a column.
AVERAGECalculates the arithmetic mean of all numerical values in a column.
AVERAGEAComputes the arithmetic mean of all values in a column, including logical values and text representations of numbers.
AVERAGEXEvaluates an expression for each row in a table and calculates the arithmetic mean of the results.
COUNTTallies the number of non-blank rows in a specified column.
COUNTACounts all non-blank rows in a specified column.
COUNTAXCounts non-blank results from evaluating an expression across a table.
COUNTBLANKCalculates the total number of blank cells within a column.
COUNTROWSCounts the rows in a specified table or those defined by an expression.
COUNTXCounts rows where an expression evaluates to a number within a table.
DISTINCTCOUNTCounts the total distinct values in a column.
DISTINCTCOUNTNOBLANKCounts distinct values in a column, excluding blanks.
MAXReturns the highest numeric value from a column or between two scalar expressions.
MAXAProvides the largest value in a column, including logical values and text numbers.
MAXXEvaluates an expression for each table row and returns the largest numeric value.
MINFinds the smallest numeric value in a column or between two scalar expressions.
MINAReturns the smallest value in a column, considering logical values and text representations of numbers.
MINXCalculates the smallest numeric value after evaluating an expression for each table row.
PRODUCTMultiplies all numeric values in a column.
PRODUCTXComputes the product of an expression evaluated across each row in a table.
SUMAdds up all the numeric values in a column.
SUMXReturns the sum of an expression evaluated across each row in a table.

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1. What are aggregation functions in Power BI?

Aggregation functions in Power BI are used to compute summary statistics like totals, averages, and counts for datasets.

2. What is the difference between SUM and SUMX in Power BI?

SUM calculates the total of a single column, while SUMX evaluates an expression row by row over a table and sums the results.

3. When should I use DISTINCTCOUNT in Power BI?

Use DISTINCTCOUNT when you need to calculate the number of unique values in a column, such as counting unique customers or products.

4. What is the advantage of APPROXIMATEDISTINCTCOUNT?

APPROXIMATEDISTINCTCOUNT provides faster results for large datasets by estimating unique counts instead of calculating them exactly.

5. Can aggregation functions be combined in Power BI?

Yes, aggregation functions can be combined with others like CALCULATE, FILTER, or IF to create more complex calculations.

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