Conditional Formatting and Quick Calcs in Power BI Desktop

There’s a new update out of Power BI Desktop (May 2016), but at the time of writing there’s no official announcement yet.
However, two great new features have been spotted by Chris Webb:

I installed the new PBI Desktop and tried those out. On an imported data set, you can click an arrow next to a measure, giving you the options to either define conditional formatting or to redefine the measure as a quick calc.

condformatting01

On the Total Units measured, I tried to format it that if the value is bigger than 1,000,000, a color was to be shown. However currently the conditional formatting works as a gradient. This means you can specify a lower limit Everything below this limit will get the color of this limit. The closest I could get was giving the lower limit the color white. In that case, the values above 1,000,000 are colored but they get different shades:

condformatting04

As you can see in the screenshot, I also defined the following quick calc on the Total Sales measure:

condformatting03

To do this, you have to add the measure twice, just like in an Excel Pivot Table.

It seems the quick calcs are supported in most visualizations:

condformatting05

The conditional formatting is currently only supported in a tabel visualization. Futhermore, it seems Analysis Services Multidimensional doesn’t support quick calcs, so it’s possible not all sources are currently supported. More info will come soon I guess.


------------------------------------------------
Do you like this blog post? You can thank me by buying me a beer 🙂

Koen Verbeeck

Koen Verbeeck is a Microsoft Business Intelligence consultant at AE, helping clients to get insight in their data. Koen has a comprehensive knowledge of the SQL Server BI stack, with a particular love for Integration Services. He's also a speaker at various conferences.

2 thoughts to “Conditional Formatting and Quick Calcs in Power BI Desktop”

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Your email address will not be published.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.