DAX AVERAGE Function

The DAX (Data Analysis Expressions) AVERAGE function in Power BI is used to calculate the arithmetic mean of a column containing numerical values. This function helps in understanding the central tendency of a dataset by providing the average value.

Syntax:

AVERAGE(<column>)

<column>: The column for which you want to calculate the average.

Purpose:

The AVERAGE function is used to compute the average of numerical values in a specified column. It is useful for analyzing data where understanding the mean value is important, such as average sales, average profit, average score, etc.

Example:

Suppose you have a table named "Sales" with columns "Product" and "Revenue". You want to calculate the average revenue generated from all products.

You can use the AVERAGE function as follows:

AverageSales = AVERAGE(Sales[SalesAmount])

This formula calculates the average of the "SalesAmount" column in the "Sales" table.

Considerations:

Filter Context: The AVERAGE function respects the filter context applied to the data. It calculates the average based on the current filter context, which may include slicers, filters, or row-level security.

Blank Values: The AVERAGE function ignores blank or null values in the column while calculating the average. Only non-blank numerical values are considered.

Implicit Measures: Similar to the SUM function, Power BI can automatically apply the AVERAGE function when you drag a numeric column into a visualization and set the aggregation to "Average".

Use Cases:

Average Sales: Calculate the average sales amount to understand typical sales performance.

Average Profit: Determine the average profit to gauge business profitability.

Average Quantity: Compute the average quantity sold per transaction.

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