Skip to main content

Data & Intelligence

Show Last N Month Data using single Date Slicer & What if Parameter in Power BI

Working In Office.

Have you ever had a scenario where you need to Display the last 6 month or 4 month or N months of data just by selecting a single date dimension in slicer, sounds difficult“?

Let’s me show you step by step how to display last N months of data just by selecting single date dimension in slicer.

(1)  Get the data in power BI desktop. Here I have Profit table and calendar table as shown below. Create the Month of Year, Month year no calculated columns in both date and Profit table.
Snap 1

MonthYearNo = YEAR(‘Date'[Date])&FORMAT(‘Date'[Date],”MM”)

MonthofYear = FORMAT(‘Date'[Date], “mmmm-yyyy”)

(2) The next step is to make a measure that will display the last N months. Let’s create a What If parameter called N with values from 1 to 24 and increments of 1. Place it in the chart as shown below

Data Intelligence - The Future of Big Data
The Future of Big Data

With some guidance, you can craft a data platform that is right for your organization’s needs and gets the most return from your data capital.

Get the Guide


(3) Create the Measure that will display Profit for last N months.

N month Profit =


SUM (Profit[profit]),

DATESINPERIOD (‘Date'[Date], MAX (‘Date'[Date]), – [N Value], MONTH)


(4) No let’s dive into visualization part. Create a Bar Chart with Monthyear column from Profit table on X-Axis and N month Profit measure on Y-Axis. Similarly create slicer using month of year column from Date table.

Now you can change the month in the filter, as well as the value of N and see the bar chart change.

Happy Reading & Learning!!

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Vaibhav Punwatkar

Vaibhav Punwatkar is a Senior Technical Consultant at Perficient. He is a Power BI developer and Power BI service Consultant. Vaibhav is excited to share his knowledge about Power BI and is open to suggestions from readers.

More from this Author

Follow Us