DAX Function to Calculate Table with Multiple Measures

This section provides a DAX function to create a calculated table that includes multiple measures. The function will use the SUMMARIZE function and other DAX functions to compute the required metrics.

Function Overview

Purpose

To create a calculated table that summarizes data and includes multiple measures for analysis.

Parameters

• Table: The source table containing your data.
• GroupByColumns: Columns to group the data by.
• Measures: Additional measures to compute for each group.

Return Type

Returns a table with aggregated values based on the defined measures.

Exceptions

• Raises an error if the input table is invalid or the group by columns are not present in the source table.

DAX Code Snippet

Here’s the DAX code that implements the function:

CalculateTableWithMeasures = 
VAR SummaryTable = 
    SUMMARIZE(
        SourceTable,                                  // Your source table
        GroupByColumn1,                               // First column to group by
        GroupByColumn2,                               // Second column to group by
        "Total Sales", SUM(SourceTable[Sales]),      // First measure: Total Sales
        "Total Quantity", SUM(SourceTable[Quantity])  // Second measure: Total Quantity
    )
RETURN 
    SummaryTable

Code Explanation

• SUMMARIZE: This function is used to group the data by the specified columns and calculate measures.
• SourceTable: Replace this with the actual name of your data source.
• GroupByColumn1, GroupByColumn2: Replace these with the actual columns to group by.
• Measures "Total Sales" and "Total Quantity" are defined using the SUM function applied to the relevant columns.

Usage Example

Below is an example of how to use this DAX function in a Power BI report:

SalesSummaryTable = 
CalculateTableWithMeasures (
    SourceSales,           // Your sales dataset
    "Region",              // First column to group by
    "Product Category"     // Second column to group by
)

In this example:

• SourceSales is the name of the dataset.
• The data is grouped by Region and Product Category.
• The resulting SalesSummaryTable will provide the total sales and total quantities sold per region and product category.

Conclusion

This DAX function effectively summarizes data with multiple measures and is tailored for dynamic reporting needs. For further insights and advanced techniques in DAX, consider exploring courses on the Enterprise DNA platform, which offers a wealth of resources for enhancing your data modeling skills.