How to Use the Power BI DAX function WINDOW

In this article, we’ll explore what the WINDOW function is, how it works, and how to use it in your Power BI reports.

What is the WINDOW Function?

The WINDOW function is a DAX function that allows you to perform calculations over a specified range of rows in a table. This can be useful when you want to perform calculations on a rolling basis, or when you want to compare data across different time periods.

The syntax for the WINDOW function is as follows:

WINDOW([expression], [start], [end])

Here, [expression] is the calculation you want to perform, [start] is the first row in the range, and [end] is the last row in the range.

How Does the WINDOW Function Work?

The WINDOW function works by creating a temporary table that contains the rows you want to analyze. This table is then used to perform the calculation specified in the [expression] argument.

For example, suppose you have a table of sales data with columns for Date, Product, and Sales. You want to calculate the 30-day moving average of sales for each product. You could use the following WINDOW function:


This function calculates the average of Sales over the previous 29 rows (i.e., the previous 29 days) for each product.

How to Use the WINDOW Function in Power BI

To use the WINDOW function in Power BI, you'll need to create a measure that uses the function. Here's how:

1. Open Power BI Desktop and go to the Home tab.

2. Click on the New Measure button in the Measures group.

3. In the formula bar, enter the syntax for the WINDOW function, including the [expression], [start], and [end] arguments.

4. Press Enter to create the measure.

Once you've created the measure, you can add it to a visual in your report and use it to analyze your data.

Tips for Using the WINDOW Function

Here are some tips to keep in mind when using the WINDOW function:

- Use the ROWS argument to specify the number of rows you want to include in the analysis.

- Use the ORDER BY argument to sort the rows in the temporary table.

- Use the PRECEDING argument to specify the number of rows preceding the current row to include in the analysis.

- Use the FOLLOWING argument to specify the number of rows following the current row to include in the analysis.

- Use the UNBOUNDED PRECEDING or UNBOUNDED FOLLOWING argument to include all rows up to or after the current row, respectively.

The WINDOW function is a powerful tool for analyzing data in Power BI. By creating custom calculations that operate over a specified range of rows, you can gain insights into your data that would be difficult to obtain using other methods.

If you're new to the WINDOW function, start with simple calculations and work your way up to more complex ones. With a little practice, you'll soon be using this function to analyze your data like a pro.

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